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    "name": "CircuitHub",
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    "website": "https://circuithub.com",
    "all_locations": "London, England, United Kingdom",
    "long_description": "CircuitHub offers on-demand electronics manufacturing powered by our factory-scale robotics platform, The Grid. This platform delivers a 10x improvement in the speed and cost of small-batch electronics production. Leading customers like Tesla, NASA, and Zipline rely on CircuitHub to cut their time to market in half.",
    "one_liner": "On-Demand Electronics Manufacturing",
    "team_size": 58,
    "industry": "Industrials",
    "subindustry": "Industrials -> Manufacturing and Robotics",
    "launched_at": 1322045523,
    "tags": [
      "Hard Tech",
      "Hardware",
      "Robotics",
      "Manufacturing",
      "Automation"
    ],
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2012",
    "status": "Active",
    "industries": [
      "Industrials",
      "Manufacturing and Robotics"
    ],
    "regions": [
      "United Kingdom",
      "Europe",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/circuithub",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2012/circuithub.json",
    "year_founded": 2012,
    "city": "London",
    "country": "GB",
    "linkedin_url": "https://www.linkedin.com/company/circuithub",
    "x_url": "https://twitter.com/circuithub",
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    "cb_url": "https://www.crunchbase.com/organization/circuithub",
    "github_url": "https://github.com/circuithub",
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    "founders": [
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        "user_id": 2005,
        "full_name": "Andrew Seddon",
        "title": "Founder/CEO",
        "founder_bio": "I'm building CircuitHub to automate and simplify electronics manufacturing—making it as seamless as writing software. Our platform helps hardware teams prototype and launch faster by tightly integrating design, sourcing, and assembly. Previously, I led teams working on computer vision and robotics at Cambridge Signal Processing and Oxford Metrics. Background in ECE from the University of Leeds. Passionate about closing the gap between software agility and hardware development.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/seddonandrew/",
        "x_url": "https://x.com/seddonandrew",
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    "jobs": [
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        "id": 76919,
        "title": "Full-Stack Robotics Engineer",
        "url": "https://www.ycombinator.com/companies/circuithub/jobs/bUPM5eq-full-stack-robotics-engineer",
        "location": "Deerfield, MA, US / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$140K - $250K",
        "equity_range": "0.10% - 0.40%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 80377,
        "title": "Full-Stack Robotics Engineer Summer 2026 Intern ",
        "url": "https://www.ycombinator.com/companies/circuithub/jobs/pxHqv58-full-stack-robotics-engineer-summer-2026-intern",
        "location": "South Deerfield, Massachusetts",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$6K / monthly",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 81906,
        "title": "Operations Research Engineer",
        "url": "https://www.ycombinator.com/companies/circuithub/jobs/UM1QSjZ-operations-research-engineer",
        "location": "UK / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "£80K - £150K GBP",
        "equity_range": "0.10% - 0.25%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
          "Python"
        ]
      },
      {
        "id": 81916,
        "title": "Haskell Engineer",
        "url": "https://www.ycombinator.com/companies/circuithub/jobs/OGZOqQ5-haskell-engineer",
        "location": "UK / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "£80K - £150K GBP",
        "equity_range": "0.10% - 0.25%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
          "Haskell"
        ]
      },
      {
        "id": 81917,
        "title": "Computer Vision Engineer",
        "url": "https://www.ycombinator.com/companies/circuithub/jobs/js2U2cL-computer-vision-engineer",
        "location": "UK / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "£80K - £150K GBP",
        "equity_range": "0.10% - 0.25%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
          "Torch/PyTorch",
          "OpenCV"
        ]
      }
    ],
    "news": [],
    "launches": []
  },
  {
    "id": 19,
    "name": "Rescale",
    "slug": "rescale",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/711fea8d5911eff2cca6ae58f7c2371f123c9dc1.png",
    "website": "https://rescale.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Rescale is a cloud-based platform for computational engineering and R&D, that empowers engineers and researchers to accelerate discovery, testing, and optimization. We democratize access to the latest technologies that drive greater efficiency and competitiveness, including high performance computing, simulation, modeling, AI/ML, and digital twins.\r\n\r\nThe majority of industry leaders worldwide use Rescale as the backbone of R&D, connecting the digital thread of new product innovation to develop products that enrich humanity, from autonomous vehicles to drug discovery. Rescale customers include 7 of the top 10 automotive companies and 3 of the top 6 life science companies.\r\n\r\nRescale’s full-stack, open platform automates systems, data, and workflows into a user-centric experience, so customers can focus on innovation. Choose from 1000+ pre-installed applications for multiphysics simulation and AI/ML-assisted design exploration, including commercial, open-source, and custom software. We offer the largest global network of hyperscale and specialty cloud infrastructure to leverage the latest CPU, GPU, and other specialized architectures.\r\n\r\nRescale is enterprise-ready to enable any size organization to achieve their digital transformation goals–with unified management that gives IT teams full visibility and control of hybrid-cloud operations. Rescale’s intelligent automation gives customers flexibility to improve performance and reduce costs of computing, while our enhanced security and compliance ensures industry-leading standards are met from end to end.\r\n\r\nGetting started is simple, flexible, and free to try. Our team of experts is ready to help you achieve your most ambitious engineering goals – schedule a demo today.\r\n\r\nJoin us and help us build products that change the world: www.rescale.com/careers",
    "one_liner": "High Performance Computing Built for the Cloud",
    "team_size": 250,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1322045674,
    "tags": [
      "Cloud Computing"
    ],
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2012",
    "status": "Active",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Growth",
    "app_video_public": false,
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    "app_answers": null,
    "question_answers": [
      {
        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "Full story is available in a 2-part episode of the Big Compute Podcast:* [A Cloud Startup Story (Part 1)](https://www.bigcompute.org/podcast/a-cloud-startup-story-part-1)* [A Cloud Startup Story (Part 2)](https://www.bigcompute.org/podcast/a-cloud-startup-story-part-2)"
      }
    ],
    "url": "https://www.ycombinator.com/companies/rescale",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2012/rescale.json",
    "year_founded": 2011,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/rescale",
    "x_url": "https://twitter.com/rescaleinc",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/rescale",
    "github_url": "https://github.com/rescale",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/711fea8d5911eff2cca6ae58f7c2371f123c9dc1.png",
    "app_video_url": null,
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    "company_photos": [],
    "primary_partner": null,
    "founders": [
      {
        "user_id": 23979,
        "full_name": "Joris Poort",
        "title": "Founder/CEO",
        "founder_bio": "Founder & CEO @ Rescale",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/gpoort/",
        "x_url": "https://twitter.com/jorispoort",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/edb2159ba1459774b3a2c01a2c0e3e6852453375.jpg"
      },
      {
        "user_id": 52244,
        "full_name": "Adam McKenzie",
        "title": "Founder/CTO",
        "founder_bio": null,
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/adammckenzie",
        "x_url": null,
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/899f5465d69863ee35668c55aeee9058f646a670.jpg"
      }
    ],
    "jobs": [
      {
        "id": 77676,
        "title": "Senior Account Executive, Korea",
        "url": "https://www.ycombinator.com/companies/rescale/jobs/tUPAb79-senior-account-executive-korea",
        "location": "Seoul",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 87158,
        "title": "Public Sector Account Executive, Defense & National Security",
        "url": "https://www.ycombinator.com/companies/rescale/jobs/D2dI0xi-public-sector-account-executive-defense-national-security",
        "location": "Remote (United States) / Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 87159,
        "title": "Regional Vice President, Major Accounts",
        "url": "https://www.ycombinator.com/companies/rescale/jobs/xKHfFb7-regional-vice-president-major-accounts",
        "location": "Remote (United States) / Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 87162,
        "title": "Solutions Architect - Data & AI",
        "url": "https://www.ycombinator.com/companies/rescale/jobs/PGhPp76-solutions-architect-data-ai",
        "location": "Remote (United States) / Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 87163,
        "title": "Strategic Account Executive - Majors",
        "url": "https://www.ycombinator.com/companies/rescale/jobs/hvreST2-strategic-account-executive-majors",
        "location": "Remote (United States) / Remote (US)",
        "type": "Full-time",
        "role": "Operations",
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        "salary_range": "",
        "equity_range": "",
        "experience": "",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 87164,
        "title": "Senior Director of Product Marketing",
        "url": "https://www.ycombinator.com/companies/rescale/jobs/qjSr3um-senior-director-of-product-marketing",
        "location": "United States (Remote) / Remote (US)",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "",
        "visa": "US citizen/visa only",
        "skills": []
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    ],
    "news": [
      {
        "title": "This Startup Says It Can Reshape How Companies Do R&D. Tech Luminaries Agree.",
        "url": "https://www.wsj.com/articles/this-startup-says-it-can-reshape-how-companies-do-r-d-tech-luminaries-agree-85e9b799",
        "date": "Apr 07, 2025"
      },
      {
        "title": "Rescale raises $55M more to meet demand for high-performance compute | VentureBeat",
        "url": "https://venturebeat.com/2021/11/23/rescale-raises-50m-more-to-meet-demand-for-high-performance-compute/",
        "date": "Nov 23, 2021"
      }
    ],
    "launches": []
  },
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    "id": 24,
    "name": "Gusto",
    "slug": "gusto",
    "former_names": [
      "ZenPayroll"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6ce7845c2e268525f5f04915212ac0a106fb7e3d.png",
    "website": "https://gusto.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Launched in 2012 as ZenPayroll, Gusto serves more than 300,000 businesses nationwide. Each year we process tens of billions of dollars of payroll and provide employee benefits—like health insurance and 401(k) accounts—while helping companies create incredible work places.\r\n\r\nThrough one refreshingly easy, integrated platform, we automate and simplify your payroll, benefits, and HR, all while providing expert support. You and your employees will get the peace of mind you need to do your best work.",
    "one_liner": "Provides growing businesses with everything to take care of their team",
    "team_size": 2400,
    "industry": "B2B",
    "subindustry": "B2B -> Human Resources",
    "launched_at": 1322045716,
    "tags": [
      "B2B",
      "Payroll",
      "Health Insurance"
    ],
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    "top_company": true,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2012",
    "status": "Active",
    "industries": [
      "B2B",
      "Human Resources"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Growth",
    "app_video_public": false,
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    "question_answers": [
      {
        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "Josh, Eddie, and I actually met completely by chance. I moved to the US for the Electrical Engineering PhD program at Stanford and just a couple of months in, I got paired up together with Josh through Stanford’s alumni mentorship program. Josh and Eddie went to Stanford EE together a few years earlier, but got reconnected after randomly when Eddie made a wild decision to run a half-marathon – with zero training – just to win a bet (!). Josh, Eddie and I bonded over our experiences growing up around small businesses, and starting past startups on our own. My dad has owned a small clothing store in Haifa for over 30 years now and I grew up helping in the store after school every day, and experiencing the small business ups and downs around the family dinner table every evening. Eddie had a similar experience with his family’s medical practice in Southern California. Finally, Josh, Eddie and I had started our own startups previously (none as successful as Gusto), and realized that our passion is solving real problems for real people and having a long-term positive impact through technology.We loved the idea of helping small businesses – the underdogs – thrive and succeed, and hated the fact that only “big enterprise” companies use technology internally for their advantage. It wasn’t fair and we wanted to fix it. What sparked the original idea behind Gusto was Eddie growing up and seeing his mom manage payroll for their medical practice. She had been doing every payroll by hand for over two decades. It was time-consuming, tough, and error-prone, with the practice paying as much as $200,000 in tax penalties over the years, up until we launched Gusto. One of the most rewarding parts of our journey was seeing her finally running payroll without having to physically be in the office – freeing her up to go on vacation while still being able to run payroll if she needed to. We realized that if we do a great job with payroll, we’ll have the most accurate system of record for our customers’ employees, which then will enable us to solve many more important problems like onboarding, time tracking, benefits, compliance, HR, and more. We’ve since kept on this vision and have built Gusto’s People Platform which helps over 300,000 businesses across the country start and grow their teams while building a great place to work – from the moment they’re hired, until their last day. We still feel like we’re in the super early stages of the company as our vision is much broader – to create a world where work creates a better life."
      },
      {
        "question": "How did you decide to apply to Y Combinator? What was your experience applying, going through the batch, and fundraising at demo day?",
        "answer": "We first decided to apply to YC based on Eddie’s recommendation. He had had a great experience with YC as part of a previous startup he founded, Picwing. We knew that the YC association could help us hire strong engineers, have a supportive community of founders we get inspired by, and gain early momentum. Being part of a YC batch was a high intensity experience. We lived together and worked 24/7 to build a Minimal Loveable Product and earn the trust of some early customers, all before Demo Day. Demo Day is a fantastic opportunity to meet hundreds of serious investors interested in funding companies. It’s up to you to give them a reason to fund you – but if you take advantage of that moment, it can really be a gamechanger for your startup.Overall, YC was a big part of Gusto’s early growth. It has a strong community of technical leaders and operators, so it helped us hire engineers faster and grow more quickly during Gusto’s early days. But not only is YC a great way to attract top talent – it also connects you to a community of similar-minded founders and helps you build long-term, lasting friendships. "
      }
    ],
    "url": "https://www.ycombinator.com/companies/gusto",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2012/gusto.json",
    "year_founded": 2011,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/gustohq/",
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    "fb_url": "https://www.facebook.com/GustoHQ/",
    "cb_url": "https://www.crunchbase.com/organization/gusto",
    "github_url": "https://github.com/Gusto",
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        "full_name": "Josh Reeves",
        "title": "Founder/CEO",
        "founder_bio": "We're on a multi-decade mission at Gusto to create a world where work empowers a better life. Building for the long term. [We're hiring!]",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/joshuareeves/",
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        "user_id": 14505,
        "full_name": "Edward Kim",
        "title": "Founder/Empowering Gusto's Engineering Team",
        "founder_bio": "Co-founder and Head of Engineering at Gusto",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/edawerd/",
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      },
      {
        "user_id": 27176,
        "full_name": "Tomer London",
        "title": "Founder/; Empowering Gusto's Product and Design Teams",
        "founder_bio": "Co-founder at Gusto (YC W12). Optimist. Family guy.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/tomerlondon/",
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    "news": [
      {
        "title": "Gusto’s path to $1 billion in revenue, milestone-by-milestone | Fortune",
        "url": "https://fortune.com/2026/05/07/gusto-one-billion-revenue/",
        "date": "May 07, 2026"
      },
      {
        "title": "Gusto launches $200 million–plus tender offer | Fortune",
        "url": "https://fortune.com/2025/06/09/gusto-200-million-plus-tender-offer/",
        "date": "Jun 09, 2025"
      },
      {
        "title": "Gusto reaches $500M in trailing revenue, teams up with Remote to support international hires | TechCrunch",
        "url": "https://techcrunch.com/2023/06/27/gusto-remote-deal-500m-revenue/",
        "date": "Jun 27, 2023"
      },
      {
        "title": "How HR-Tech Startup Gusto Won Over Investors and Small Businesses",
        "url": "https://www.businessinsider.com/how-hr-tech-startup-gusto-won-over-investors-small-businesses-2022-9",
        "date": "Sep 22, 2022"
      },
      {
        "title": "Why Gusto decided to acquire Ardius, Symmetry, Remote Team - Protocol",
        "url": "https://www.protocol.com/fintech/how-decided-gusto",
        "date": "Sep 14, 2022"
      }
    ],
    "launches": []
  },
  {
    "id": 40,
    "name": "Amplitude",
    "slug": "amplitude",
    "former_names": [],
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    "long_description": "At HackerRank, our mission is to change the world to value skills over pedigree.\r\n\r\nThousands of companies use our AI-powered platform to hire next-gen developers based on what they can do - not just what’s on their resume. From hiring to upskilling, we help teams identify and grow technical talent at every stage of the developer journey.\r\n\r\nOver 26 million developers have joined the HackerRank Community to learn and certify their skills, practice interviewing, and discover relevant jobs.\r\n",
    "one_liner": "Change the world to value skills over pedigree",
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    "industry": "B2B",
    "subindustry": "B2B -> Recruiting and Talent",
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    "demo_day_video_public": false,
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    "url": "https://www.ycombinator.com/companies/hackerrank",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2011/hackerrank.json",
    "year_founded": null,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/hackerrank/",
    "x_url": "https://twitter.com/hackerrank",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/hackerrank",
    "github_url": "https://github.com/interviewstreet",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6df4cc84a7b27db9480fd2d7bff6fa62ff56aacb.png",
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    "founders": [
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        "user_id": 10668,
        "full_name": "Vivek Ravisankar",
        "title": "Founder/CEO",
        "founder_bio": null,
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/vivekravisankar",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4e93b141d4e847e3a84979fad3c4977946d65589.jpg"
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      {
        "user_id": 73271,
        "full_name": "Harishankaran",
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        "linkedin_url": null,
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    "jobs": [
      {
        "id": 79073,
        "title": "HackerRank (YC S11) | Hiring Senior Software Engineer | Santa Clara CA - Hybrid",
        "url": "https://www.ycombinator.com/companies/hackerrank/jobs/6yom11r-hackerrank-yc-s11-hiring-senior-software-engineer-santa-clara-ca-hybrid",
        "location": "Santa Clara, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$150K - $172K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
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          "Python",
          "TypeScript"
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      {
        "id": 90540,
        "title": "Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/hackerrank/jobs/PUBbnNs-forward-deployed-engineer",
        "location": "Santa Clara, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$160K - $185K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": [
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          "SQL"
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      {
        "id": 90932,
        "title": "Manager, Forward Deployed Engineering",
        "url": "https://www.ycombinator.com/companies/hackerrank/jobs/RXN2BRu-manager-forward-deployed-engineering",
        "location": "Santa Clara, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$200K - $250K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "Will sponsor",
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      {
        "title": "HackerRank, a platform for recruiters to test coders and coders to hone skills, raises $60M at ~$500M valuation – TechCrunch",
        "url": "https://techcrunch.com/2022/03/29/hackerrank-a-platform-for-recruiters-to-test-coders-and-coders-to-hone-their-skills-raises-60m-at-a-500m-valuation/",
        "date": "Mar 29, 2022"
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    "launches": [
      {
        "id": 97749,
        "title": "Chakra: AI interviewer that finally works",
        "tagline": "An AI interviewer that's trained to evaluate AI-first skills across roles with integrity built-in",
        "body": "I’m Vivek, Co-founder and CEO at HackerRank (YC S11). We’re launching a new product - Chakra: an AI Interviewer that actually helps hiring teams screen candidates faster with evidence-backed interview reports.\n\n**The problem we see**\n\nWe’re seeing recruiters and hiring managers are dealing with:\n\n* Too many applicants and too much scheduling overhead for early rounds.\n* Lower signal-to-noise because many applications are polished by AI or outright fabricated .\n* Rising interview integrity issues — including tools marketed to “cheat” during interviews.\n\nTeams spend tons of valuable human time on the wrong candidates - and hiring managers don’t trust early-round signals.\n\n**What Is Chakra**\n\n![uploaded image](/media/?type=post&id=97749&key=user_uploads/10668/d2057e04-0171-4320-9e63-77ae90329042)\n\n\\\n\\\nChakra is an AI Interviewer by HackerRank that runs structured, voice/video screening interviews based on your rubric and delivers decision-ready reports backed by evidence.\n\nDemo video - <https://youtu.be/6v5h-7Q4O2c>  \n\n**How it works**\n\n1. Configure the role, competencies, and rubric in a chat-based setup.\n2. Invite candidates easily via email, a simple link, or directly through your ATS\n3. Chakra conducts a voice/video based interview on your behalf, intelligently adapting to get the signals you need.\n4. You get an instant report with an actionable recommendation, skill-level feedback aligned with your rubric, transcript references, and full session replay.\n\n**What makes it different**\n\nThere are a lot of “AI interviewers” right now, but most fall into one of two buckets:\n\n1. Niche / single-skill evaluators, or\n2. Single-modal experiences that don’t generate robust, trustworthy signal\n\nChakra is designed to be multi-modal (voice, video, IDE, whiteboard etc.) and versatile across roles, while still producing grounded, auditable evidence in the report.\n\n![uploaded image](/media/?type=post&id=97749&key=user_uploads/10668/43e35ddd-bdde-4c00-b579-324bdc45b650)\n\n**YC community asks / offers**\n\n* If you’re hiring right now, you can try [this sample FDE interview](https://www.chakra.sh/interviewer/1enskc0p2qs/session), I’d love feedback on:\n  * Rubric setup (does it match how you actually hire?)\n  * Candidate experience (does it feel fair and natural?)\n  * Report quality (is it truly decision-ready?)\n* You can request access at [chakra.sh](http://chakra.sh)\n* Or simply reach me at @rvivek on X or via email at [vivek@hackerrank.com](mailto:vivek@hackerrank.com)",
        "url": "https://www.ycombinator.com/launches/PQb-chakra-ai-interviewer-that-finally-works",
        "votes": 21,
        "created_at": "2026-02-12T02:23:22.735Z"
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "OneSignal is the leading omnichannel customer engagement solution, powering personalized customer journeys across mobile and web push notifications, in-app messaging, SMS, and email. Our easy-to-use interface empowers content creators to focus on quality user engagement instead of complex implementation.\r\n\r\nOur powerful platform enables over a million businesses to deliver 10 billion messages daily and 1 in 7 new apps launches using OneSignal! We support companies in 140 countries, including Zynga, USA Today, Bitcoin.com, Upwork, Tribune, and many more - from startups and small businesses just getting off the ground to established companies communicating with millions of customers.",
    "one_liner": "Engage customers through personalized omni-channel messaging",
    "team_size": 150,
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    "subindustry": "B2B -> Marketing",
    "launched_at": 1326789019,
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      "Partly Remote"
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    "year_founded": 2011,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/onesignal/",
    "x_url": "https://twitter.com/onesignal",
    "fb_url": "https://www.facebook.com/onesignalapp/",
    "cb_url": "https://www.crunchbase.com/organization/one-signal",
    "github_url": "https://github.com/OneSignal",
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    "founders": [
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        "user_id": 5571,
        "full_name": "George Deglin",
        "title": "Founder/CEO",
        "founder_bio": "Technical Founder & CEO of OneSignal (YC S11 and YCG S20). OneSignal helps businesses send Push Notifications, Email, SMS, and In-App messaging to develop engaged and loyal customers.\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/gdeglin",
        "x_url": "https://twitter.com/gdeglin",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c819207473aff772fae44b3daa7b41ff1795da05.jpg"
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    "jobs": [
      {
        "id": 72052,
        "title": "Senior Software Engineer, Journeys Team (Fullstack)",
        "url": "https://www.ycombinator.com/companies/onesignal/jobs/BOlyPRY-senior-software-engineer-journeys-team-fullstack",
        "location": "United States (Remote) / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 72053,
        "title": "Staff Software Engineer, SMS Team (Fullstack)",
        "url": "https://www.ycombinator.com/companies/onesignal/jobs/DNhTi7U-staff-software-engineer-sms-team-fullstack",
        "location": "United States (Remote) / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
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        "experience": "",
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        "id": 92753,
        "title": "Senior Software Engineer, Email Team",
        "url": "https://www.ycombinator.com/companies/onesignal/jobs/ZwwdPw4-senior-software-engineer-email-team",
        "location": "United States - Remote / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
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        "salary_range": "",
        "equity_range": "",
        "experience": "",
        "visa": "US citizen/visa only",
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      {
        "id": 92756,
        "title": "Product Marketing Manager",
        "url": "https://www.ycombinator.com/companies/onesignal/jobs/06T3lN5-product-marketing-manager",
        "location": "United States - Remote / Remote (US)",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "",
        "visa": "US citizen/visa only",
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    "news": [
      {
        "title": "OneSignal Secures Investment From ServiceNow Ventures",
        "url": "https://www.cmswire.com/the-wire/onesignal-secures-investment-from-servicenow-ventures/",
        "date": "Feb 02, 2023"
      },
      {
        "title": "OneSignal Launches Support for iOS Live Activities",
        "url": "https://onesignal.com/blog/new-live-activities-support-to-help-you-drive-loyalty-faster/",
        "date": "Dec 14, 2022"
      },
      {
        "title": "OneSignal lands $50M to automatically optimize SMS, in-app and email campaigns – TechCrunch",
        "url": "https://techcrunch.com/2022/09/01/onesignal-lands-50m-to-automatically-optimize-sms-in-app-and-email-outreach/",
        "date": "Sep 01, 2022"
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    "launches": [
      {
        "id": 105807,
        "title": "OneSignal is powering Autonomous Lifecycle Marketing for B2C Companies",
        "tagline": "Announcing our Autonomous Lifecycle Marketing Vision and new products including OneSignal AI, Brand Center, MCP, and Slack Agent",
        "body": "Hi Launch YC,\n\nI'm the founder and CEO of OneSignal. Today, we're announcing our new AI vision, and I'm excited to share it with the Launch YC community.\n\n<https://www.youtube.com/watch?v=r7ccDbGVJ5U>\n\n**The problem**\n\nOneSignal first went through YC as a mobile gaming company called Hiptic Games.\n\nAfter pivoting away from mobile games, we used our experience to uncover an opportunity to truly \"Make something people want,\" and began working toward a mission to Democratize Customer Engagement for B2C companies.\n\nFor years, most B2C marketing automation products have had lengthy implementation processes, dated interfaces, and a learning curve steep enough that many teams hire a full-time expert. Many of them were also built in a world where email was the dominant channel, and have zero or weak support campaigns that span across Email, Mobile Push, SMS/RCS, and other channels.\n\nIn contrast, we made OneSignal incredibly easy to use from the start: customers can get going for free with an intuitive product experience, a powerful suite of tools for omni-channel messaging, and the performance to support some of the largest brands in the world. Today, OneSignal sends billions of daily messages for hundreds of thousands of active apps.\n\nBut no matter how easy and powerful we made the product, marketers still needed to bring a lot of their own time and expertise to get the best results from their campaigns.\n\n**The solution**\n\nToday, I'm excited to announce our vision and the products that will make lifecycle marketing autonomous. Our mission is still to Democratize Customer Engagement, but with AI we can achieve it in ways that were never possible before. This AI vision enables us to empower under-resourced marketing teams with the time and expertise that has seemed always out of reach.\n\nWe've broken this mission into phases, which we think of as an autonomy ladder. Most marketers don't want to hand the keys to an autonomous system on day one, so we'll roll out features that build the systems and trust needed at each step.\n\n![uploaded image](/media/?type=post&id=105807&key=user_uploads/5571/09a43a18-3ca8-4268-bd70-ab1798220546)\n\n**Level 0 — Manual.** The dashboard. A marketer drives every click, and the team scales by hiring. This is where the entire category has lived.\n\n**Level 1 — Assistance.** AI drafts copy, suggests audiences, and explains your analytics in plain language. You review and ship. This is live today.\n\n**Level 2 — Expert Assist.** AI becomes proactive. It recommends campaigns to fill lifecycle gaps, flags mistakes, and checks your work. Your input is still required.\n\n**Level 3 — Agentic Autopilot.** You delegate bounded work, and AI does it within the scope and rules you've defined. You approve work in batches.\n\n**Level 4 — Full Operator.** You set the goals and the guardrails. AI plans, sends, tests, and improves campaigns against them, reaching out only when it needs you.\n\n**What we're launching today**\n\n![uploaded image](/media/?type=post&id=105807&key=user_uploads/5571/da0aff66-9335-4ac3-87bf-d61aaa95b014)\n\n**OneSignal AI** — An in-product agent that can do everything a person can: generate message copy, design emails, analyze message performance, and recommend next steps to maximize user engagement. Best of all, it can create and analyze complex multi-step Journeys, saving hours of work.\n\n![uploaded image](/media/?type=post&id=105807&key=user_uploads/5571/f96522b2-51f9-404c-83fe-5b8bcbf4618a)\n\n**Brand Kit** — Define your audience, voice and tone, industry, and visual assets on a centralized configuration page or pull them automatically from your website. Set guardrails for language to avoid. OneSignal AI uses your Brand Kit when generating copy, email designs, and in-app messages.\n\n![uploaded image](/media/?type=post&id=105807&key=user_uploads/5571/b4c791bc-66cd-4849-afbf-d6921338d492)\n\n**OneSignal MCP** — Brings OneSignal's capabilities to the AI tools and agents you already use. The MCP is available now on the ChatGPT and Cursor marketplaces, coming soon to the Claude marketplace, and available through Smithery for any other AI client. Together, the MCP and the OneSignal API make it possible to use the platform in a fully headless way.\n\n![uploaded image](/media/?type=post&id=105807&key=user_uploads/5571/16f8ec08-92f4-4612-b342-555017d5082b)\n\nSoon, we'll also release a OneSignal Slack Agent, bringing the capabilities of OneSignal AI and the OneSignal MCP to where your team already spends its time. And we'll be rolling out an API to create, edit, and analyze Journeys, so your team can set up complex campaigns without ever logging into the OneSignal dashboard.\n\n**Try it today**\n\nAll of these features are available on OneSignal's free plan. Small companies can send unlimited push notifications and up to 10,000 emails per month for free. Paid plans start at $19/mo plus affordable usage-based pricing. Installing OneSignal is as simple as copying a prompt into Claude Code. You can get started at https://onesignal.com",
        "url": "https://www.ycombinator.com/launches/RWZ-onesignal-is-powering-autonomous-lifecycle-marketing-for-b2c-companies",
        "votes": 5,
        "created_at": "2026-07-14T22:59:31.042Z"
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    "id": 82,
    "name": "Streak",
    "slug": "streak",
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/34b83cec1f2ebdc9cb570890712a93e354509aec.png",
    "website": "http://streak.com",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "Streak is the only CRM integrated entirely within your Gmail inbox, and works alongside all your other G Suite applications. It can be used to track any business process including sales, partnerships, support, hiring, deal flow, and much more. Streak also includes a powerful set of email tools including email tracking, send later, snoozing, mail merge, and more.",
    "one_liner": "Streak transforms Gmail into a powerful CRM",
    "team_size": 35,
    "industry": "B2B",
    "subindustry": "B2B -> Sales",
    "launched_at": 1326789125,
    "tags": [
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    "isHiring": true,
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    "batch": "Summer 2011",
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/streak",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2011/streak.json",
    "year_founded": 2012,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/streak-com",
    "x_url": "https://twitter.com/Streak",
    "fb_url": "https://www.facebook.com/streakgmail/",
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        "full_name": "Aleem Mawani",
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        "is_active": true,
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        "id": 66000,
        "title": "Staff UI Engineer",
        "url": "https://www.ycombinator.com/companies/streak/jobs/m9TkzXv-staff-ui-engineer",
        "location": "US / CA / MX / Remote (US; CA; MX)",
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        "role_type": "Frontend",
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        "experience": "6+ years",
        "visa": "US citizenship/visa not required",
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    "id": 85,
    "name": "Quartzy",
    "slug": "quartzy",
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    "website": "https://www.quartzy.com",
    "all_locations": "San Francisco, CA, USA; Hayward, CA, USA",
    "long_description": "The world’s No. 1 lab management platform. We help scientists easily organize orders, manage inventory, and save money.",
    "one_liner": "Marketplace for life science supplies.",
    "team_size": 100,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Healthcare IT",
    "launched_at": 1326789155,
    "tags": [
      "SaaS",
      "B2B",
      "E-commerce"
    ],
    "tags_highlighted": [],
    "top_company": false,
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      "America / Canada",
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    "stage": "Growth",
    "app_video_public": false,
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    "url": "https://www.ycombinator.com/companies/quartzy",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2011/quartzy.json",
    "year_founded": null,
    "city": "San Francisco",
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    "linkedin_url": "https://www.linkedin.com/company/quartzy/",
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    "fb_url": "https://www.facebook.com/Quartzy/",
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    "id": 442,
    "name": "Zapier",
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        "question": "How did you decide to apply to Y Combinator? What was your experience applying, going through the batch, and fundraising at demo day?",
        "answer": "The first time we applied to YC, we were rejected. At the time, we were bummed, but the rejection made sense — we applied with a janky product we built at a startup weekend, and we had no customers and no track record. So we went back, found customers, built our first round of integrations, and then decided to apply again. We got in the second time we applied; Mike, Bryan, and I moved to Silicon Valley to go through the whole process. In the end, we raised our only round of funding, $1.3 million in seed funding from YC and Bessemer Venture Partners, which gave us room to grow. For us, YC allowed us to go full time on the company and provided a supportive environment for putting all our time and attention into getting the company off the ground."
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        "title": "Building APIs for AI: An Interview with Zapier’s Bryan Helmig | Y Combinator",
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        "title": "Same, Same but Different with Vanta and Zapier | Y Combinator",
        "url": "https://www.ycombinator.com/blog/same-same-but-different-with-vanta-and-zapier",
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    "name": "Instacart",
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        "founder_bio": "Max is the Co-Founder of Instacart. He started the company with two co-founders in 2012. Previously, he's worked for several startups including Schematic, an award-winning interactive agency which was acquired by WPP. Max is originally from Los Angeles where he graduated from the University of Southern California, studying entrepreneurship and cinematic arts.",
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        "url": "https://www.ycombinator.com/companies/instacart/jobs/BWkbgeYsk-senior-android-engineer",
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        "id": 15183,
        "title": "Senior Software Engineer",
        "url": "https://www.ycombinator.com/companies/instacart/jobs/0XJjxk4lw-senior-software-engineer",
        "location": "San francisco, CA / Remote",
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        "role": "Engineering",
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        "title": "For Founder Apoorva Mehta, Instacart’s $9.9 Billion IPO Is The End Of The Road",
        "url": "https://www.forbes.com/sites/richardnieva/2023/09/19/apoorva-mehta-instacart-ipo-exclusive/?sh=1c15acc65a04",
        "date": "Sep 19, 2023"
      },
      {
        "title": "Instacart Prices I.P.O. at $30 a Share, Raising $660 Million - The New York Times",
        "url": "https://www.nytimes.com/2023/09/18/technology/instacart-ipo-share-price.html",
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      {
        "title": "Instacart files for its IPO",
        "url": "https://www.axios.com/2023/08/25/instacart-nasdaq-ipo-date-2023",
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      {
        "title": "Instacart launches new in-app AI search tool powered by ChatGPT | TechCrunch",
        "url": "https://techcrunch.com/2023/05/31/instacart-in-app-ai-search-tool-powered-by-chatgpt/",
        "date": "May 31, 2023"
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      {
        "title": "Instacart Is Ready for the ‘Groceryssance’ | Progressive Grocer",
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        "full_name": "Nitesh Goel",
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    "regions": [
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        "location": "BR / AR / CL / PE / UY / CO / VE / EC / GY / BO / PY / Remote (BR; AR; CL; PE; UY; CO; VE; EC; GY; BO; PY)",
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        "role": "Engineering",
        "role_type": "Devops",
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        "experience": "3+ years",
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      },
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        "url": "https://www.ycombinator.com/companies/etleap/jobs/QwEj2EQ-account-executive",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
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        "visa": "US citizen/visa only",
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      },
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        "id": 75532,
        "title": "Senior Software Engineer - San Francisco (Onsite) ",
        "url": "https://www.ycombinator.com/companies/etleap/jobs/opfyPGo-senior-software-engineer-san-francisco-onsite",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$130K - $220K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "Will sponsor",
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    "long_description": "The journey of building Razorpay started in 2014, when Harshil Mathur (CEO & Co-Founder) and Shashank Kumar (MD & Co-Founder) witnessed the dismal state of the online payments industry in India then and understood that they have a larger and more important issue to solve. And That was democratizing online payments for Indian businesses, particularly the underserved market, Startups and SMEs. Over the last 9 years, Razorpay has evolved from a single-product company to a multi-product company, from an online payment gateway to India’s only full-stack financial solutions company, offering payments and banking solutions to businesses.  Razorpay today is transforming age-old complexities and changing every known paradigm of money movement for disruptive businesses.\r\n\r\nOver the last couple of years, Razorpay’s growth has evolved to be an index of India’s digital economy. From a kirana shop in Kashmir collecting payments on our POS device to a textile exporter in Kanyakumari accepting dollars through our International Payments product, Razorpay has revolutionised how businesses have traditionally transacted and interacted with money. \r\n\r\nRazorpay became the first and only Indian fintech to build a full-stack international Payment Gateway ‘Curlec by Razorpay’ and evolved into a comprehensive provider of payment solutions, leveraging the synergy between cutting-edge technological capabilities and a profound understanding of the local payment ecosystem. The introduction of the new Curlec Payment Gateway aims to cater to a wide spectrum of businesses, expanding its reach to over 5,000 establishments. \r\n\r\nBe it for international expansion or solving for Indian businesses, for Razorpay, the customer has always been at the core of all disruption, from addressing evolving needs to delivering new solutions. This hyperfocus helped bring Razorpay’s several industry-first innovations into the market since 2014. Razorpay became the first to launch a completely digital on-boarding process for startups, first to launch support for UPI, first to launch support for Bharath QR, first to introduce recurring payments for businesses through Razorpay Route, automating payment receipts and later automate payouts and making the entire process seamless and optimized and many more were introduced aling the way. Other firsts include: - First to launch India’s Multi-Network Tokenisation solution, TokenHQ - Razorpay became India’s first payment gateway to support credit cards on UPI - Razorpay also became India’s largest omnichannel payment gateway for businesses post acquiring Ezetap which is India’s leading offline POS company that was founded with the aim to simplify the in-person offline payments experience.\r\n\r\nOver the years, Razorpay’s valuation has jumped from $1 billion to $7.5 billion and has added a host of marquee investors to its captable. Razorpay is also the second Indian company to be a part of Silicon Valley’s largest tech accelerator, Y Combinator. Marquee investors such as Lone Pine Capital, Alkeon Capital, TCV, GIC, Tiger Global, Sequoia Capital India, Ribbit Capital, Matrix Partners, Salesforce Ventures, Y Combinator, and MasterCard have invested a total of $741.5 Mn through Series A, B, C, D, E and F funding. The last financing round of Series F led the company’s valuation to $7.5 Billion signaling one of the fastest increases in valuation for an Indian Unicorn. \r\n\r\nRazorpay has also made acquisitions with like-minded companies over the last 9 years. In total, till date, Razorpay has made eight acquisitions, Billme in 2023 - A Digital invoice and customer Engagement, Ezetap in 2022 - India’s leading offline POS company, PoshVine in 2022 - India’s leading loyalty and reward management platform, IZealiant in 2022 - A mobile-first, API-enabled, and cloud-ready payment solution and made its first international foray in South-East Asia by announcing its acquisition of Curlec in 2022 - A recurring payments platform. TeraFin Labs in 2021 - the AI-based SaaS platform that facilitates digital financing solutions, Opfin (Now RazorpayX Payroll) in 2019 -  The payroll management solution and Thirdwatch in 2019, the first acquisition - The AI-powered fraud detection platform.\r\n\r\nAll these efforts are being done in collaboration with banks, regulators, and stakeholders so that India can build a better place for small and big businesses. Today, Razorpay powers online payments for 76 Of 100 startup unicorns and millions of businesses in India. The core premise of what Razorpay was founded in 2014 and what it is today hasn’t changed. It is to make money movement simpler and easier, whether it is for businesses to receive money, send money, or manage money. \r\n\r\n",
    "one_liner": "India's only full-stack financial solutions company for businesses.",
    "team_size": 2700,
    "industry": "Fintech",
    "subindustry": "Fintech -> Payments",
    "launched_at": 1416309883,
    "tags": [
      "Banking as a Service",
      "Fintech",
      "Payments",
      "India"
    ],
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    "isHiring": true,
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    "batch": "Winter 2015",
    "status": "Active",
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      "Payments"
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    "regions": [
      "India",
      "South Asia",
      "Remote",
      "Partly Remote"
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    "stage": "Growth",
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    "question_answers": [
      {
        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "(Attributed to Harshil Mathur, CEO & CoFounder of Razorpay)I met Shashank during our time at IIT Roorkee, and our collaboration began there. We worked on numerous projects together, fueled by our shared passion for coding. In fact, many of the codes we wrote during our college days are still the backbone of Razorpay's operations today. Our bond extended beyond academics; we were instrumental in founding SDS Labs, the software development section of our alma mater. After graduation, our paths diverged geographically, with Shashank moving to the USA to join Microsoft, while I ventured to the Middle East to work with Schlumberger. Despite the distance, our friendship remained strong, and we continued to collaborate on various side projects.One pivotal moment came in 2014 when we embarked on a crowdsourcing platform project to collect online donations for a cause. However, we encountered significant hurdles with existing payment gateway systems. This experience opened our eyes to the challenges faced by Indian businesses, particularly Startups and small businesses, in accepting payments online.Determined to address this gap, we decided to establish Razorpay, driven by a mission to democratize payments for startups and SMEs. Armed with research and fueled by our passion for solving real-world problems, we set out to create a platform that offers simple, affordable, and secure payment solutions.For us, perseverance has been a way of life. We are relentless in our pursuit of identifying and solving the financial challenges faced by small businesses. Whether it's rain or shine, we push through obstacles until we find viable solutions. This resilience has been the cornerstone of Razorpay's growth, propelling us from 10,000 partner businesses in 2017 to over 5 million today."
      },
      {
        "question": "How did you decide to apply to Y Combinator? What was your experience applying, going through the batch, and fundraising at demo day?",
        "answer": "(Attributed to Harshil Mathur, CEO & CoFounder of Razorpay)Long before we applied to YC, Shashank and I had been fans. Hacker News was our go-to source for information on building startups, and a few months after we started working on Razorpay, we saw an announcement on Hacker News about the YC application period opening up.At that point, Razorpay hadn't launched and we weren't remotely confident about getting in. The YC application process is pretty thorough; there are tough questions that force you to be crystal clear about who you are as a company. Things like how will you differentiate yourself from the competition; how will you acquire market share; how big is your market, and how big will you be in a few years from now? All of those are important questions to discuss internally, and so at a minimum, we thought applying would help us zero in on succinct, precise answers to give both of us clarity, even if we didn't get in.But thankfully our efforts paid off, and we did make the cut. When Shashank Kumar and I found out in late 2014 we'd been accepted into Y Combinator, we figured we'd need to split our time between running Razorpay in Bangalore and joining our fellow founders in Silicon Valley. It was only a few months after we had launched Razorpay and we were afraid of abandoning our customers, even for a bit, just as we were getting off the ground. Ignoring that temptation and spending the full three months of YC in Mountain View was one of the best decisions we ever made.It was a good call to stay in US and not fly back and forth to India, because if we had, we'd have missed out on the full benefit of YC — spending valuable time with the other founders in our batch, meeting successful alumni and building relationships throughout the YC community, and getting mentored by YC partners and other investors.Now, 9 years later, we couldn't be more proud to be [YC's first Indian unicorn](https://techcrunch.com/2020/10/11/razorpay-100-million-billion-valuation-unicorn/). I can honestly say that although we had to work harder during those three months than at any other time in my life, with countless 20-hour days attending YC sessions and dinners and then working late nights supporting our customers in India, I wouldn't change a thing. That's why the best advice I can give to any Indian founder considering YC is to go all in on it the same way we did. The priceless, irreplaceable learning happens when you least expect it — during a late-night drink with another founder in your batch, maybe, or in a spur-of-the-moment meeting with a YC partner. You can't say you'll do 60% or 80% of the YC program, because you can't know where 60% or 80% of YC's advantage is. So figure out how to get 100% of the benefit of it; it'll be hard, and exhausting, definitely, but you will never regret it."
      },
      {
        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "In 2014, after discovering the dismal state of online payments in India Harshil and Shashank founded Razorpay, **India’s first payment gateway built for Startups** a platform for a simple, affordable, and secure way for businesses to accept payments online. Progressing in the journey that started with payment acceptance, the company also witnessed a progressive acceptance and adoption of digital innovations. But what was surprising was while the big payment players in the market were catering to large businesses, smaller businesses needed immediate attention. In India, **MSMEs are the second largest employment-generating sector after agriculture and contribute around 31% to the nation’s GDP**. One of the major challenges for SMEs & Startups was the lack of technology infrastructure, especially for B2B payment technologies. There was a need for a comprehensive converged payment and banking solution that can help manage the entire money movement (from acceptance to disbursals) within an organisation. This particular thought gave birth to the launch of **Razorpay’s neo-banking platform, RazorpayX, and lending platform Razorpay Capital.** The company now offers a single platform for businesses to manage the entire money flow within an organization. Eight years to now, **Razorpay evolved from being a payment gateway to India’s first full-stack financial solutions company providing intelligent new-age payment and business banking solutions** to help Indian businesses address the entire length and breadth of their payment & banking journey. The company believes that for the next phase of growth in the fintech industry, payment players need to **evolve beyond offering solutions for payment acceptance to managing the entire money flow (from acceptance to disbursements and everything in between). Hence, it is of supreme importance to recognize a market (SMEs & Startups)**, identify challenges, and provide a holistic solution, at scale."
      },
      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "**Razorpay is committed to building the central nervous system of digital India.** The company aims to change how payments and banking are done for small businesses in India and wants to create a benchmark for the entire world to follow. Razorpay today is India’s leading and first full-stack financial solutions company that offers both payments and banking solutions for businesses on a single platform.  The founding team always wanted to build a platform like this because of the single goal **- to help businesses spend less time managing compliance and operations and more time creating new products, pursuing new ideas, and thinking about how to scale. The company’s vision continues to produce new idea and innovation that benefits millions of businesses even today.** Overall, the company wants to help make India economically more inclusive and is making strides toward that goal. Razorpay believes It’s an exciting time of change and is creating history. Digitization is the lifeblood of any business. It impacts EVERYTHING a business does - from cash flow & hiring to credit, investment & expansion. Businesses can no longer think of digitization as an afterthought! The digital payments landscape has multiplied over the last decade. India has globally positioned itself as a benchmark in digital payments owing to its resilient payment infrastructure, market practices, and proliferation of digital payments across various segments. The adoption of digital payments in the MSME space has unlocked several efficiencies that have driven end-to-end transformation in how small businesses conduct their operations. **India today is amongst the fastest growing Fintech markets in the world**, being the 3rd largest FinTech ecosystem, India has the highest Fintech adoption rate globally (87%). **Razorpay also believes & foresees Indian fintech as the default service provider for the world that can make a difference by bringing customized digital solutions for customers beyond the geographies clubbed with best-in-class fintech technologies.**"
      }
    ],
    "url": "https://www.ycombinator.com/companies/razorpay",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2015/razorpay.json",
    "year_founded": 2014,
    "city": "Bengaluru",
    "country": "IN",
    "linkedin_url": "https://www.linkedin.com/company/razorpay/",
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    "github_url": "https://github.com/razorpay",
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      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
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        "full_name": "Harshil Mathur",
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        "full_name": "Shashank Kumar",
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        "linkedin_url": "http://www.linkedin.com/in/kumarshashank",
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        "id": 77,
        "title": "Senior / Principal Engineers",
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        "location": "bangalore",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 6516,
        "title": "Senior Infrastructure Engineer",
        "url": "https://www.ycombinator.com/companies/razorpay/jobs/zUemCTA1N-senior-infrastructure-engineer",
        "location": "Bengaluru",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Devops",
        "salary_range": "",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 16046,
        "title": "Senior/Principal Engineer/Manager, Frontend Engineering",
        "url": "https://www.ycombinator.com/companies/razorpay/jobs/Xpdifpfmk-senior-principal-engineer-manager-frontend-engineering",
        "location": "Bangalore, Karnataka",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Frontend",
        "salary_range": "",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "JavaScript",
          "React",
          "React Native"
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      }
    ],
    "news": [
      {
        "title": "et startup of the year razorpay: ET Startup Awards 2022: Razorpay wins Startup of the Year award - The Economic Times",
        "url": "https://economictimes.indiatimes.com/tech/startups/et-startup-awards-2022-razorpay-wins-startup-of-the-year-award/articleshow/95185680.cms",
        "date": "Nov 07, 2022"
      },
      {
        "title": "Razorpay Helps FinTech HostBooks Raise $3M | PYMNTS.com",
        "url": "https://www.pymnts.com/news/investment-tracker/2022/razorpay-helps-fintech-hostbooks-raise-3m/",
        "date": "Jun 10, 2022"
      },
      {
        "title": "YC-backed Indian fintech unicorn enters SEA",
        "url": "https://www.techinasia.com/ycbacked-fintech-unicorn-razorpay-enters-sea",
        "date": "Feb 08, 2022"
      },
      {
        "title": "Indian fintech giant Razorpay valued at $7.5 billion in $375 million funding – TechCrunch",
        "url": "https://techcrunch.com/2021/12/19/indian-fintech-giant-razorpay-valued-at-7-5-billion-in-375-million-funding/",
        "date": "Dec 19, 2021"
      },
      {
        "title": "India’s Razorpay launches faster checkout feature, tops $60 billion TPV – TechCrunch",
        "url": "https://techcrunch.com/2021/12/08/india-razorpay-launches-faster-checkout-feature-tops-60-billion-tpv/",
        "date": "Dec 08, 2021"
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    ],
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  },
  {
    "id": 833,
    "name": "Tab",
    "slug": "tab",
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    "website": "https://www.tab.travel",
    "all_locations": "London, England, United Kingdom",
    "long_description": "At Tab, we’re revolutionising the way travellers discover, plan and book a trip.\r\n\r\nThe Guide lets travellers find and book anywhere — with helpful recommendations from friends & local experts, rather than bland listings with endless reviews. Planning your trip should be a joy, not a chore! We help people to travel responsibly, by booking direct instead of using traditional booking sites. Travellers get the best price and they help local businesses avoid unnecessary fees. \r\n\r\nTravel experts, content creators and the friends you always ask for recommendations can use The Guide to showcase their favourite places to stay and things to do. When you book one of their recommendations, you’ll get a discount from the business and they receive bonus credit to say thanks.\r\n\r\nThe Tab platform gives independent tourism businesses the tools to improve their online presence, be discovered, take direct bookings — and also to take payments. Our payment platform is uniquely designed for tourism businesses, handling over 100 currencies natively, and every payment type securely and easily.\r\n\r\nAs travel returns after a difficult period, it’s time for a fresh approach. That’s why we’re building a social commerce platform for tourism — helping to spread the benefits of tourism far and wide, and helping travellers make the most of their precious time abroad. \r\n\r\nWe're headquartered in London, and backed by Y Combinator (the investors behind Airbnb, Dropbox and Stripe).",
    "one_liner": "Revolutionising the way travellers discover, plan and book a trip",
    "team_size": 9,
    "industry": "Consumer",
    "subindustry": "Consumer -> Travel, Leisure and Tourism",
    "launched_at": 1416311007,
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      "Fintech",
      "Marketplace",
      "Travel"
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2015",
    "status": "Active",
    "industries": [
      "Consumer",
      "Travel, Leisure and Tourism"
    ],
    "regions": [
      "United Kingdom",
      "Europe",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/tab",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2015/tab.json",
    "year_founded": 2015,
    "city": "London",
    "country": "GB",
    "linkedin_url": "https://www.linkedin.com/company/9397300/",
    "x_url": "https://twitter.com/Tab_HQ",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/tab-5",
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      {
        "user_id": 5148,
        "full_name": "Mark Datta",
        "title": "Founder/CEO",
        "founder_bio": "Mark worked in the finance industry, and at travel and fintech startups before founding Tab. He has an MBA from Harvard Business School.",
        "is_active": true,
        "linkedin_url": "http://uk.linkedin.com/in/markdatta",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b64f94f5fc08af17cc1ba886a1e2eabf7f358eb6.jpg"
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        "id": 55414,
        "title": "Product Engineer",
        "url": "https://www.ycombinator.com/companies/tab/jobs/7kyEqxA-product-engineer",
        "location": "London, UK",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "£60K - £80K GBP",
        "equity_range": "0.20% - 0.40%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": [
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          "Flask",
          "Python",
          "Svelte"
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      },
      {
        "id": 108064,
        "title": "Growth Marketing Lead",
        "url": "https://www.ycombinator.com/companies/tab/jobs/MwKltMw-growth-marketing-lead",
        "location": "London, England, GB",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "£50K - £80K GBP",
        "equity_range": "0.10% - 0.25%",
        "experience": "6+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 116109,
        "title": "Customer Success and Operations Associate (EN/ES)",
        "url": "https://www.ycombinator.com/companies/tab/jobs/ZAb1T1E-customer-success-and-operations-associate-en-es",
        "location": "England, GB",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "£32K - £37K GBP",
        "equity_range": "0.15%",
        "experience": "1+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      }
    ],
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  {
    "id": 856,
    "name": "Mashgin",
    "slug": "mashgin",
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    "website": "http://mashgin.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Mashgin creates better retail experiences through visual automation. \r\n\r\nWe’ve built a self-checkout kiosk that uses computer vision to scan multiple items without barcodes, reducing checkout time by 10x. We’re completely recreating the checkout experience in an industry that’s had little innovation in decades.\r\n\r\nOur clients see dramatic reductions in lines and revenue increases of as much as 400% as a result.",
    "one_liner": "Self-Checkout using Computer Vision.",
    "team_size": 150,
    "industry": "B2B",
    "subindustry": "B2B -> Retail",
    "launched_at": 1421189374,
    "tags": [
      "Cashierless Checkout",
      "Deep Learning",
      "Hardware",
      "Computer Vision",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2015",
    "status": "Active",
    "industries": [
      "B2B",
      "Retail"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Growth",
    "app_video_public": false,
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    "question_answers": [
      {
        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "Back in the early 2010s, Mukul was hard at work helping Toyota determine how computers could use cameras to interpret and interact with the world. But Mukul had a problem - every day, he would go to get his lunch, and every day he’d spend most of that time (30-40 minutes) waiting in line in his corporate cafeteria. He decided to take a closer look at the issue and decided that computer vision could be the answer. After some initial testing, Mukul felt the idea was a big opportunity and flew to California to pitch his idea.There he reconnected with Abhinai, who was his classmate in the same dorm at IIT Delhi. He created an early demo that was so impressive that it convinced Abhinai to join him.Having worked in large companies and created some enormously successful projects, we were disheartened by the fact that when a project became successful, several people came in at the final stages to take credit. We decided to be founders and create a company that valued people’s contributions honestly and cut through the corporate bullshit.After successfully cold-calling head executives from some of the largest corporate cafeteria operators on the planet, we received many enthusiastic responses to our description of Mashgin’s Touchless Checkout System. He then set out to actually build it.After successfully building and demoing a Mashgin prototype to the YC team, Mashgin went from “project” to “company” over the course of the Winter 15 Batch."
      },
      {
        "question": "How did you decide to apply to Y Combinator? What was your experience applying, going through the batch, and fundraising at demo day?",
        "answer": "We applied to YC very late, just a few days before the start of W15 batch. We were in the middle of raising a seed round and through our suboptimal interactions with investors, we realized that we needed YC guidance to help us raise a round on good terms. Our YC experience was amazing, if a bit overwhelming at times. YC partners forced us to think clearly about the next steps. At one point they had us go door to door to every business in Mountain View downtown to try and sell our product. We made our first sale that day and we’ll never forget that experience! Fundraising post YC was every bit what we imagined it to be. It made the entire process super smooth and easy."
      },
      {
        "question": "What's the history of your company from getting started until the present day? What were the big inflection points?",
        "answer": "When we started the company in 2014, our initial goal was to improve the checkout experience in corporate dining facilities, cafeterias, and sports stadiums. We aimed to use computer vision and machine learning technology to create a much more efficient and convenient experience for customers. Entering YC and getting to demo day with a major letter of intent was a big moment for the company, giving us the experience and fundraising to make Mashgin market-ready over the following few years.However, with the outbreak of COVID-19 in 2020 and the subsequent lockdowns, we had to pivot our focus to the convenience store space as corporate offices closed and retail demand for self-checkout solutions skyrocketed.During the pandemic we were able to secure an enormous deal with Circle K, one of the largest convenience store chains in the world, for 10,000 kiosks across their global portfolio of stores. This elevated us from a burgeoning player in AI to the most market-tested solution in the world.In May 2022, we were able to announce a Series B funding round of $62.5 million with a valuation of $1.5 billion, earning us the title of “unicorn” company. The round was led by NEA, a global venture capital firm that’s invested in other successful startups like Cloudflare, Patreon Plaid, and Robinhood, with additional support from our existing investor, Matrix Partners.Today Mashgin continues to expand within the convenience, sports, and corporate dining industries while beginning to explore adjacent opportunities in spaces like ski resorts, quick service restaurants, and drug stores."
      },
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        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "Online retail has gone through several iterations in the past few decades and the experience today is extremely frictionless. Physical retail on the other hand has not seen the same level of innovation and the experience hasn’t changed much since the early 90s. We want to use the latest advances in AI and Computer Vision to make physical retail as easy and frictionless as online retail.More specifically, Mashgin solves the problem of long wait times and checkout bottlenecks. Customers often experience frustration and dissatisfaction when they have to wait in long lines to check out, and retailers also face the challenge of managing and staffing checkouts. This is a big problem because lines are a waste of time for everyone involved. Over the course of a lifetime, the average person will spend years waiting in lines. And those lines aren’t just wasted time for consumers, they result in lost sales for retailers. Studies by Forrester and BlueDot have shown that retailers lose as much as 57% of their sales when customers perceive the line as long (which in a convenience store is 3 people).Besides being frustrated by our own lunch lines, we decided to work on this problem because we saw an opportunity to use computer vision and machine learning to create a more efficient and convenient shopping experience for customers across industries."
      },
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        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "At Mashgin, our long-term vision is to create a world where the shopping experience is completely seamless and frictionless. If we succeed, waiting in line to purchase goods will be a thing of the past. Consumers will have more time to do the things that they love with a faster, more convenient, and less stressful experience in retail and dining spaces.  For retailers and concessionaires the technology will free up time and resources, allowing them to focus staff on other key areas of the business like stocking, cooking, cleaning, and customer service."
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    "all_locations": "New York City, NY, USA; New York, NY, USA",
    "long_description": "We’re a customized beauty brand at the intersection of tech and beauty, setting out to democratize custom beauty and truly empower individuality. There’s no one size fits all with us.",
    "one_liner": "Customizable beauty for hair, skin, and body care products.",
    "team_size": 300,
    "industry": "Consumer",
    "subindustry": "Consumer -> Apparel and Cosmetics",
    "launched_at": 1447567515,
    "tags": [
      "Beauty",
      "Personalization",
      "E-commerce"
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2016",
    "status": "Active",
    "industries": [
      "Consumer",
      "Apparel and Cosmetics"
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    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Growth",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": [
      {
        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "Function of Beauty was created by beauty outsiders: two MIT grads and a chemist who believed that everyone deserves a custom product and should be empowered to create their own beauty journey. Engineer and MIT grad Zahir Dossa was trained to see problems as equations to be solved. But when he looked at the beauty industry, what he saw didn’t add up—real people were more than broad categories like “curls” or “dry,” so cookie-cutter solutions could never deliver transformational results. No wonder consumers never saw the results they were after. But making effective, customized products at scale was thought to be impossible.   Zahir teamed up with fellow MIT grad Josh Maciejewski and cosmetic chemist Hien Nguyen, combining their expertise in supply chain, sustainability, and data science to create something revolutionary in the beauty industry. They imagined enabling every consumer to create their own product based on a totally customized set of variables, made to order with bespoke craftsmanship and care. They imagined an algorithm-based approach that would let them constantly iterate and improve every formula. The most important variable at the center of their equation was the consumer, who—for the first time—could be honored with formulas as one-of-a-kind as they were."
      },
      {
        "question": "What's the history of your company from getting started until the present day? What were the big inflection points?",
        "answer": "We built a pioneering production facility and algorithm that allowed customers to co-create perfect, freshly crafted hair care formulas.  We focus on select, targeted, high-performing ingredients, expertly combined to work for optimal efficacy. We deliver freshly formulated, customized hair care right to customers, minimizing waste and ensuring you get everything they need  — and nothing they don’t.After building a successful DTC business, we set out to become an omni-channel pioneer and bring customization to the brick and mortar environment. In 2020, we designed and introduced a new concept and behavior for consumers - giving them options to mix their own custom shampoo and conditioner at home."
      },
      {
        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "At Function of Beauty, our mission is to truly empower individuality and we are the first brand to deliver on this promise by offering a fully personalized response to the vast diversity of hair and skin goals that women and men have. There is no one size fits all product, and we believe customization is the ultimate response to consuming more sustainably by having the perfect product made just for you. Customization is a challenging task that most beauty brands have not been able to figure out. We developed a unique technology and manufacturing capability which allows us to create custom formulas at scale.  We saw an opportunity to make a difference."
      },
      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "We often get the question about how big is big for customization. We believe we are at the beginning of a fundamental evolution of customer behavior. Customization is  the future of beauty. It is a sustainable response to the consumer evolution and changing complexity of their beauty needs.  Today, nearly everyone can have access to custom formulas for their unique hair, skin and body needs. We want to continue to democratize access to custom beauty products over the next few years."
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    "url": "https://www.ycombinator.com/companies/function-of-beauty",
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    "year_founded": 2015,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/10877282",
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        "full_name": "Zahir Dossa",
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        "linkedin_url": "https://www.linkedin.com/in/dossa/",
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        "full_name": "Hien Kaplan",
        "title": "Founder/Chief Scientist",
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        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/hientnguyen",
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        "full_name": "Joshua Maciejewski",
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        "is_active": true,
        "linkedin_url": "http://www.linkedin.com/in/joshuamac",
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        "title": "Graphic Designer",
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        "location": "New York, NY, US",
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        "role_type": "Brand/graphic design",
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        "equity_range": "",
        "experience": "3+ years",
        "visa": "Will sponsor",
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    "id": 1042,
    "name": "Podium",
    "slug": "podium",
    "former_names": [],
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    "website": "https://podium.com",
    "all_locations": "Lehi, UT, USA",
    "long_description": "Podium is the all-in-one AI-powered lead management and communication platform used by more than 100,000 businesses to acquire and convert new customers. At the forefront of Podium’s innovation is its AI employee, who ensures businesses respond to leads instantly, anytime of the day or night—significantly increasing lead conversion rates and revenue.\r\nPodium helps businesses obtain more reviews, rank higher on Google, and consolidate lead channels. Businesses can call and text customers from the web and/or mobile app, send payment links, drive repeat business through bulk messages, and more—all managed and delivered from one easy-to-use dashboard. Additionally, with Podium’s AI Employee and automations, businesses can efficiently handle customer inquiries seamlessly across all communication channels, providing timely and accurate responses that drive sales.\r\nPodium’s innovative work has gained recognition on top industry lists, such as Forbes’ Next Billion Dollar Startups, Forbes’ Cloud 100, the Inc. 5000, and Fast Company’s World’s Most Innovative Companies.\r\nPodium was founded in 2014 and is headquartered in Lehi, Utah. It is currently backed by Accel, Summit Partners, GV (formerly Google Ventures), and Y Combinator.",
    "one_liner": "Get more leads. Make more money. ",
    "team_size": 1000,
    "industry": "B2B",
    "subindustry": "B2B -> Retail",
    "launched_at": 1447568415,
    "tags": [
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      "SaaS",
      "B2B",
      "AI"
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    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2016",
    "status": "Active",
    "industries": [
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      "Retail"
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    "regions": [
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      "America / Canada",
      "Remote",
      "Partly Remote"
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    "stage": "Growth",
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    "question_answers": [
      {
        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "I grew up working at my dad’s tire shop, which taught me the ins and outs of operating a small business. Fast forward to college, and I was generating $80K in revenue from running an iPad accessory business on Shopify, a software platform for e-commerce. I started to ask myself why my dorm-room side hustle had access to 10x better technology than my dad’s tire shop, a much more complex operation that did $3.5M in gross revenue. This realization—that no one was building software for brick-and-mortar local businesses—ultimately led Dennis and me to start Podium. Along the way, many investors told us to focus on Enterprise, given the price sensitivity and volatility of the SMB customer segment. While we were tempted to pivot when we got to Y-Combinator, our unwavering belief in small businesses and dedication to helping them grow became the core of Podium’s success. We believe the greatest opportunities for impact are often found in underserved, unglamorous markets that most people overlook."
      },
      {
        "question": "How did you decide to apply to Y Combinator? What was your experience applying, going through the batch, and fundraising at demo day?",
        "answer": "When starting Podium, we read every single essay from Paul Graham and used them as the blueprint for building Podium in the early days. It was a dream of ours to get into YC one day. Even though we started the business in 2014, we didn’t apply until the winter 2016 batch because we initially thought that our SMB reviews product wasn’t a big enough idea for YC. We were amazed and excited when we were accepted into the W16 batch. During the batch, we grew from $1M to $3.5M ARR. At one point, we considered pivoting the product in a more trendy direction, but Dalton and Aaron (our group partners) told us that we were insane since we had a product people wanted and were buying like crazy. Staying the course turned out to be excellent advice. Due to our explosive revenue growth, we had a lot of investor interest on demo day. However, we had enough capital so we decided to wait until the end of the year to raise. We ended up raising our Series A in early 2017 at a $100M valuation from investors we had met on demo day. Being a company based outside of the Bay Area, Y Combinator was invaluable to us since it gave us the support and exposure to top-tier investors we needed to continue building Podium into a world-changing company."
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    "url": "https://www.ycombinator.com/companies/podium",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2016/podium.json",
    "year_founded": 2014,
    "city": "Lehi",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/podium/",
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    "fb_url": "https://www.facebook.com/Podium/",
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        "full_name": "Eric Rea",
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        "linkedin_url": "https://www.linkedin.com/in/ericrea",
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        "full_name": "Dennis Steele",
        "title": "Founder",
        "founder_bio": "Co-founder of Podium\n\n1,100 employees\n$400M+ Raised (Accel, IVP, YC Continuity, GV)\n100,000 Businesses on Podium",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/steeledennis",
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        "title": "Senior AI Engineer - Utah",
        "url": "https://www.ycombinator.com/companies/podium/jobs/pp9fqBd-senior-ai-engineer-utah",
        "location": "Lehi, UT, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$180K - $230K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
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        "id": 88045,
        "title": "Staff AI Engineer - Utah",
        "url": "https://www.ycombinator.com/companies/podium/jobs/l8BTq6f-staff-ai-engineer-utah",
        "location": "Lehi, UT, US",
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        "experience": "11+ years",
        "visa": "US citizen/visa only",
        "skills": []
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        "id": 88046,
        "title": "Staff AI Engineer - USA",
        "url": "https://www.ycombinator.com/companies/podium/jobs/qgKxAEM-staff-ai-engineer-usa",
        "location": "Lehi, UT, US / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
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        "experience": "11+ years",
        "visa": "US citizen/visa only",
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    "news": [
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        "title": "Podium’s Valuation Doubles to $3 Billion in Latest Fundraising Round",
        "url": "https://www.bloomberg.com/news/articles/2021-11-15/podium-s-valuation-doubles-to-3-billion-in-latest-fundraising",
        "date": "Nov 15, 2021"
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    "id": 1044,
    "name": "Apollo.io",
    "slug": "apollo-io",
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    "website": "https://www.apollo.io/",
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    "long_description": "Founded in 2015, Apollo.io is a lead intelligence and sales engagement platform trusted by nearly 9,000 paying customers, from rapidly growing startups to some of the largest global enterprises. Our community-based approach to crowdsourcing data gives users maximum coverage while ensuring data accuracy. Our advanced algorithms and unique data acquisition methods help over 500,000 sales professionals enrich and analyze prospects' data to increase quality conversations and opportunities.\r\n\r\nWe have notable investors: Y Combinator and Nexus Venture Partners. We recently completed a Series B financing to fuel our next growth phase. We have reached and maintained profitability for the last 18 months.\r\n\r\nOur growth and customer feedback set us apart from competitors.  Apollo had over one million sign-ups for its platform in the past year, and the number of weekly active users increased by over 400%.  We are a top-ranking G2 Crowd vendor in the Sales Intelligence, Lead Intelligence, Marketing Account Intelligence, and Sales Engagement categories.  Our highest scores are in the B2B data space for accuracy and ROI based on customer reviews. ",
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    "industry": "B2B",
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    "year_founded": 2015,
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    "country": "US",
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        "full_name": "Ray Li",
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        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/raysiruili",
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    "jobs": [
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        "id": 7343,
        "title": "Senior Fullstack Software Engineer (Remote)",
        "url": "https://www.ycombinator.com/companies/apollo-io/jobs/vRi7OomEN-senior-fullstack-software-engineer-remote",
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        "experience": "6+ years",
        "visa": "US citizen/visa only",
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          "JavaScript",
          "Node.js",
          "React",
          "Ruby",
          "Ruby on Rails"
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      },
      {
        "id": 7345,
        "title": "Senior Backend Software Engineer (Remote)",
        "url": "https://www.ycombinator.com/companies/apollo-io/jobs/bpP1Hez4x-senior-backend-software-engineer-remote",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
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        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
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          "JavaScript",
          "Ruby",
          "Ruby on Rails"
        ]
      },
      {
        "id": 7547,
        "title": "Senior DevOps Engineer (Remote)",
        "url": "https://www.ycombinator.com/companies/apollo-io/jobs/b8xshtC6C-senior-devops-engineer-remote",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Devops",
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        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
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          "Docker"
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    ],
    "news": [
      {
        "title": "Apollo.io, a full-stack sales tech platform, bags $100M at a $1.6B valuation | TechCrunch",
        "url": "https://techcrunch.com/2023/08/29/apollo-io-a-full-stack-sales-tech-platform-bags-100m-at-a-1-6b-valuation/",
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        "title": "Apollo.io raises $110M as its crosses 16K paying users of its sales intelligence platform – TechCrunch",
        "url": "https://techcrunch.com/2022/03/03/apollo-io-raises-110m-as-its-crosses-16k-paying-users-of-its-sales-intelligence-platform/",
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      },
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        "title": "Apollo.io taps $32M to make the process of B2B sales more intelligent – TechCrunch",
        "url": "https://techcrunch.com/2021/11/01/apollo-io-taps-32m-to-make-the-process-of-b2b-sales-more-intelligent/",
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    "id": 1047,
    "name": "Thunkable",
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    "website": "http://thunkable.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "From MIT's App Inventor and YCombinator's W2016 batch, Thunkable allows anyone to build powerful native apps. With Thunkable, it's simple to design, and simple to code-- simply drag and drop to create fast, native, reliable apps.\r\n\r\nYou don't need to download large development suites, command-line kits, or simulators. You can use the many built-in app templates as they are, or make changes. Make your changes online and see them on your device instantly with the Thunkable mobile app. Upload your apps directly to the Play Store or App Store or send them to friends!",
    "one_liner": "Thunkable is the no-code platform to build powerful native mobile apps",
    "team_size": 40,
    "industry": "B2B",
    "subindustry": "B2B -> Marketing",
    "launched_at": 1447653016,
    "tags": [
      "Developer Tools",
      "SaaS",
      "Design Tools"
    ],
    "tags_highlighted": [],
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    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2016",
    "status": "Active",
    "industries": [
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      "Marketing"
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    "regions": [
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      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Growth",
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        "full_name": "Arun Saigal",
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        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "Troy and Jake met in at Grove City College outside of Pittsburgh. They lived in the same dorm, played sports together and enjoyed frequent conversations about the world. After initially bootstrapping Gecko, Jake and Troy reconnected and saw the same vision of building a robotics company to solve real challenges in the built world."
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        "question": "How did you decide to apply to Y Combinator? What was your experience applying, going through the batch, and fundraising at demo day?",
        "answer": "Jake was unfamiliar with YC before they applied. In the fall of 2016, Troy learned that Kevin Hale was scheduled to be in Pittsburgh promoting the next cohort. Jake and Troy met him and talked through the vision for how Gecko could scale. At the time Gecko was making money but wasn’t yet focused on raising money or the traction it would take to turn the company into a scalable business. Kevin, Jake and Troy talked through that path and Jake and Troy turned in their application almost immediately afterwards. Going through the batch was formative for helping Jake and Troy chart Gecko’s path forward. As the batch was starting they were weighing an acquisition offer but, thanks in large part to the advice they were getting at YC, they decided to reject the offer and build the company together."
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      {
        "question": "How have you kept in touch with the YC community and continued to use YC resources & programs since the batch ended?",
        "answer": "Yes. Mostly through interactions with Kevin Hale, Jared Friedman, Sam Altman and Jon Levy. "
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      {
        "question": "What's the history of your company from getting started until the present day? What were the big inflection points?",
        "answer": "Jake built the world’s first wall-climbing ultrasonic testing robot in 2012. Soon after we were making money but weren’t sure on the path to scale. Going though YC was a key inflection point that lead us to our model for scaling Gecko. The decision to turn down early acquisition attempts and investments in favor of building the company we wanted build to was another key inflection point. Gecko turned down offers right before demo day from investors in favor of walking. Fast forward to today and Gecko is closing deals with some of the biggest energy providers on the planet as well as global institutions like the U.S. Air Force and U.S. Navy."
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        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "Jake visited a power plant while in college. The owner talked about how assets at the plant just fail and the plant shuts down regularly and that was seen as just the cost of doing business. That seemed wrong to Jake. It made him think about the importance of the built world and how much we rely on physical assets to provide power, water, safety and other critical services. Yet at the same time they are aging and starting to breakdown - Jake thought he had found a problem hiding in plain sight. Jake and Troy talked a lot about that in the early days of Gecko and committed the company on a path to deploy advanced robotics to solve this critical problem that no one else seemed to be working on."
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        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "The long-term vision for Gecko Robotics is to transform the world’s most important industries that have been left behind in the digitalization movement. Gecko aims to be one of the first truly impactful robotics companies and prove that the best way to build incredible hardware and software is around solving real world problems and creating impactful outcomes for customers. "
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        "location": "New York, NY, US / Boston, MA, US",
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        "title": "US Navy Awards Contract to Gecko Robotics to Inspect Ships - Bloomberg",
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        "date": "Jun 12, 2025"
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        "date": "Sep 04, 2024"
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        "title": "Pittsburgh Robotics Firm Lands Major Middle East Oil Contract - Blue Sky News",
        "url": "https://blueskypit.com/pittsburgh-robotics-firm-lands-middle-east-oil-contract/",
        "date": "May 13, 2024"
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        "url": "https://www.ycombinator.com/companies/astranis/jobs/mCEcFek-cad-engineer-associate-winter-2027",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$100K",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 109831,
        "title": "CAD Engineer Intern (Spring 2027)",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/T1jU6hz-cad-engineer-intern-spring-2027",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$29 / hourly",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 109832,
        "title": "CAD Engineer Intern (Summer 2027)",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/jtd6MWs-cad-engineer-intern-summer-2027",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$29 / hourly",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 109833,
        "title": "CAD Engineer Intern (Winter 2027)",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/gXJ97kx-cad-engineer-intern-winter-2027",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$29 / hourly",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 109836,
        "title": "Electrical Test Specialist ",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/zTzP9Mj-electrical-test-specialist",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$48 - $55 / hourly",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 109839,
        "title": "Environmental Test Engineer",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/yVmFC8R-environmental-test-engineer",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $130K",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 109840,
        "title": "FPGA Engineer",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/peZlOfL-fpga-engineer",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$140K - $205K",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 109841,
        "title": "Government Contracts Manager",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/5mtZCJS-government-contracts-manager",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$115K - $160K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 109842,
        "title": "Hardware Integration Test Engineer",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/tJf50Tk-hardware-integration-test-engineer",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $215K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 109844,
        "title": "HITL Test Engineer",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/SLMuwAk-hitl-test-engineer",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $215K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 109846,
        "title": "Mechanical Associate Engineer (Spring 2027)",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/XGbcWWZ-mechanical-associate-engineer-spring-2027",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 109847,
        "title": "Mechanical Associate Engineer (Summer 2027)",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/Cw20RXr-mechanical-associate-engineer-summer-2027",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 109848,
        "title": "Mechanical Associate Engineer (Winter 2027)",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/BNwNKe6-mechanical-associate-engineer-winter-2027",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 109849,
        "title": "Mechanical Engineer Intern (Spring 2027)",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/ZezsZRj-mechanical-engineer-intern-spring-2027",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
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        "skills": []
      },
      {
        "id": 109850,
        "title": "Mechanical Engineer Intern (Summer 2027)",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/3miFkYa-mechanical-engineer-intern-summer-2027",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
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        "skills": []
      },
      {
        "id": 109851,
        "title": "Mechanical Engineer Intern (Winter 2027)",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/3g4NigJ-mechanical-engineer-intern-winter-2027",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
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        "equity_range": "",
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        "skills": []
      },
      {
        "id": 109853,
        "title": "PCBA SMT Technician",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/m7mAeL4-pcba-smt-technician",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
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        "skills": []
      },
      {
        "id": 109857,
        "title": "Product Security Engineer ",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/CaeQZua-product-security-engineer",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 109858,
        "title": "Propulsion Manufacturing Engineer",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/VFbXUVE-propulsion-manufacturing-engineer",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 109862,
        "title": "RF Integration Team Lead ",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/EiiaNeA-rf-integration-team-lead",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 109863,
        "title": "Sales Director - Central Asia and Europe",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/Snd9oH7-sales-director-central-asia-and-europe",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 109864,
        "title": "Sales Director - International Government ",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/bzEKsKm-sales-director-international-government",
        "location": "Remote",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 109865,
        "title": "Satellite Operator ",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/j7n8zx3-satellite-operator",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 109867,
        "title": "Senior Electrical Reliability Engineer",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/aKFKA3j-senior-electrical-reliability-engineer",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 109868,
        "title": "Senior Harness Design Engineer",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/MW0GhBg-senior-harness-design-engineer",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 109869,
        "title": "Senior Motion Designer & Editor ",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/duiLR9F-senior-motion-designer-editor",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Design",
        "role_type": "Web design",
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 109871,
        "title": "Senior Product Security Engineer (Applications)",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/nxfyJ8a-senior-product-security-engineer-applications",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 109873,
        "title": "Senior Hardware Test Engineer",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/W6aPIUI-senior-hardware-test-engineer",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 109874,
        "title": "Senior Software Engineer - Flight Software",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/GaHUN0y-senior-software-engineer-flight-software",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 109876,
        "title": "Senior Technical Recruiter",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/ogban84-senior-technical-recruiter",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Recruiting & HR",
        "role_type": "Recruiter",
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 109877,
        "title": "Senior Technical Sourcer ",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/as1MBCG-senior-technical-sourcer",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 109880,
        "title": "Supply Chain Manager - Payload/GNC/Electro-mechanical",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/kcL22JL-supply-chain-manager-payload-gnc-electro-mechanical",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 109883,
        "title": "Technical Program Manager, USG Space Relays",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/15mAyw0-technical-program-manager-usg-space-relays",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 109884,
        "title": "Technical Recruiter",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/tkRItnP-technical-recruiter",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Recruiting & HR",
        "role_type": "Recruiter",
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 109885,
        "title": "Trade and Regulatory Compliance Manager",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/11CmhDa-trade-and-regulatory-compliance-manager",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 109886,
        "title": "Vehicle Test Software Team Lead",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/QPyREb4-vehicle-test-software-team-lead",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 110007,
        "title": "Electronics Engineering Manager",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/qLBg89X-electronics-engineering-manager",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 110008,
        "title": "Flight Software Engineer ",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/HIPwdpj-flight-software-engineer",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 110010,
        "title": "Mechanical Engineer, Electronics Packaging & RF Components",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/o9hkrRK-mechanical-engineer-electronics-packaging-rf-components",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 110011,
        "title": "Senior Embedded Software Engineer",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/gVQW05M-senior-embedded-software-engineer",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 110012,
        "title": "Senior FPGA Engineer",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/YLB0yKU-senior-fpga-engineer",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 110013,
        "title": "Senior Ground Station Systems Engineer",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/bj2LnLl-senior-ground-station-systems-engineer",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 110015,
        "title": "Senior Mechanical Engineer, Electronics Packaging & RF Components",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/RAPJZVb-senior-mechanical-engineer-electronics-packaging-rf-components",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 110838,
        "title": "Recruiting Coordinator Associate",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/K6EDUGE-recruiting-coordinator-associate",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Recruiting & HR",
        "role_type": "Recruiter",
        "salary_range": "",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 110839,
        "title": "Senior Software Engineer - Vehicle Test",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/Ni8grEz-senior-software-engineer-vehicle-test",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 110840,
        "title": "Senior Thermal Engineer ",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/Z4QQkBK-senior-thermal-engineer",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 110841,
        "title": "Software Engineer - Vehicle Test",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/otEk8BM-software-engineer-vehicle-test",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
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        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 111000,
        "title": "Avionics Engineer",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/VQVjhVu-avionics-engineer",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
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        "experience": "Any (new grads ok)",
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        "skills": []
      },
      {
        "id": 111001,
        "title": "Electrical Engineer",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/3UvoPWe-electrical-engineer",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
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        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 111002,
        "title": "Environmental Test Engineer Associate (Winter 2027)",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/Zt6Ga9j-environmental-test-engineer-associate-winter-2027",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
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        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 111003,
        "title": "Environmental Test Engineer Intern (Winter 2027)",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/INZYINY-environmental-test-engineer-intern-winter-2027",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
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        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 111004,
        "title": "Finance Systems Associate (Winter 2027)",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/Cmgj02z-finance-systems-associate-winter-2027",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "",
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        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 111005,
        "title": "Harness Manufacturing Associate (Summer 2027)",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/IN5XMpz-harness-manufacturing-associate-summer-2027",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
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        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 111006,
        "title": "Harness Manufacturing Intern (Summer 2027)",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/BqrKrVd-harness-manufacturing-intern-summer-2027",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 111007,
        "title": "Network Planning Sales Engineer Associate (Winter 2027)",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/eUEnh7T-network-planning-sales-engineer-associate-winter-2027",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 111008,
        "title": "Network Planning Sales Engineer Intern (Winter 2027)",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/GJAmkZP-network-planning-sales-engineer-intern-winter-2027",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 111009,
        "title": "Production Quality Intern (Summer 2027)",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/QybLS2b-production-quality-intern-summer-2027",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 111010,
        "title": "Production Quality Intern (Winter 2027)",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/b3p8Ikc-production-quality-intern-winter-2027",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 111011,
        "title": "Propulsion Manufacturing Intern (Summer 2027)",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/TsfbC3g-propulsion-manufacturing-intern-summer-2027",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 111012,
        "title": "Propulsion Manufacturing Intern (Winter 2027)",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/BpBd4Dj-propulsion-manufacturing-intern-winter-2027",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 111013,
        "title": "Senior Avionics Engineer",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/gqWqZPN-senior-avionics-engineer",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 111014,
        "title": "Senior Data Platform Engineer - Enterprise Systems",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/aeoneeQ-senior-data-platform-engineer-enterprise-systems",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 111015,
        "title": "Senior Electrical Engineer",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/BzPCytT-senior-electrical-engineer",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 111395,
        "title": "Assembly, Integration, and Test Intern (Summer 2027)",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/l9SbW3b-assembly-integration-and-test-intern-summer-2027",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 111396,
        "title": "Assembly, Integration, and Test Intern (Winter 2027)",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/jbCZVd3-assembly-integration-and-test-intern-winter-2027",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 111397,
        "title": "Camera Operator Intern (Fall 2026)",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/5APHHJc-camera-operator-intern-fall-2026",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 111564,
        "title": "Antenna Associate (Summer 2027)",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/2WQH89Q-antenna-associate-summer-2027",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 111565,
        "title": "Antenna Associate (Winter 2027)",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/JZ0drBa-antenna-associate-winter-2027",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 111566,
        "title": "Antenna Intern (Summer 2027)",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/CEinOB1-antenna-intern-summer-2027",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 111567,
        "title": "Antenna Intern (Winter 2027)",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/A0rYO06-antenna-intern-winter-2027",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 111568,
        "title": "Avionics Associate Engineer (Summer 2027)",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/VoO0Acb-avionics-associate-engineer-summer-2027",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 111569,
        "title": "Avionics Associate Engineer (Winter 2027)",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/kH9iG0k-avionics-associate-engineer-winter-2027",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 111570,
        "title": "Avionics Intern (Summer 2027)",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/PQ0Itn4-avionics-intern-summer-2027",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 111571,
        "title": "Avionics Intern (Winter 2027)",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/vf6nnzM-avionics-intern-winter-2027",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 111572,
        "title": "Electrical Reliability Associate (Summer 2027)",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/madXgUg-electrical-reliability-associate-summer-2027",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 111573,
        "title": "Electrical Reliability Associate (Winter 2027)",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/DmhiMta-electrical-reliability-associate-winter-2027",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 111574,
        "title": "Electrical Reliability Intern (Summer 2027)",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/jPv6uGW-electrical-reliability-intern-summer-2027",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 111575,
        "title": "Electrical Reliability Intern (Winter 2027)",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/WOpsHuG-electrical-reliability-intern-winter-2027",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 111576,
        "title": "Flight Software Associate (Summer 2027)",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/TlPs9gG-flight-software-associate-summer-2027",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 111577,
        "title": "Flight Software Associate (Winter 2027)",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/TZaJ4Na-flight-software-associate-winter-2027",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 111578,
        "title": "Flight Software Intern (Summer 2027)",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/dE3E5e6-flight-software-intern-summer-2027",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
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        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 111579,
        "title": "Flight Software Intern (Winter 2027)",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/GzpqDwj-flight-software-intern-winter-2027",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 111580,
        "title": "Guidance, Navigation, and Control Associate (Summer 2027)",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/1VTEbrz-guidance-navigation-and-control-associate-summer-2027",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 111581,
        "title": "Guidance, Navigation, and Control Intern (Summer 2027)",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/uGnEsA9-guidance-navigation-and-control-intern-summer-2027",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 111582,
        "title": "Hardware Test Intern (Winter 2027)",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/upfD2t9-hardware-test-intern-winter-2027",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 111583,
        "title": "Power Electronics Intern (Summer 2027)",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/nmlgimN-power-electronics-intern-summer-2027",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 111584,
        "title": "Power Electronics Intern (Winter 2027)",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/IDS4Wwg-power-electronics-intern-winter-2027",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 111585,
        "title": "Propulsion Test Intern (Summer 2027)",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/Tj3qiOI-propulsion-test-intern-summer-2027",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 111588,
        "title": "Software Engineer Backend Intern (Summer 2027)",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/r6oLHqJ-software-engineer-backend-intern-summer-2027",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 111589,
        "title": "Software Engineer - Enterprise Systems Intern (Summer 2027)",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/kGxyySC-software-engineer-enterprise-systems-intern-summer-2027",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 111956,
        "title": "Assembly, Integration, and Test Technician",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/edIB0lW-assembly-integration-and-test-technician",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 111957,
        "title": "Avionics Integration Engineer ",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/X0XwGJU-avionics-integration-engineer",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
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        "skills": []
      },
      {
        "id": 111958,
        "title": "Business Development Associate",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/54d5F45-business-development-associate",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
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        "skills": []
      },
      {
        "id": 111959,
        "title": "FPGA Associate (Summer 2027)",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/Tsovig0-fpga-associate-summer-2027",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Operations",
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        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 111960,
        "title": "FPGA Associate (Winter 2027)",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/8cmPgsF-fpga-associate-winter-2027",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Operations",
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        "salary_range": "",
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        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 111961,
        "title": "FPGA Intern (Summer 2027)",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/eLTHlTK-fpga-intern-summer-2027",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Operations",
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        "skills": []
      },
      {
        "id": 111962,
        "title": "FPGA Intern (Winter 2027)",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/0nIDkyl-fpga-intern-winter-2027",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
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        "skills": []
      },
      {
        "id": 111963,
        "title": "Production Scheduler ",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/P8wJxgD-production-scheduler",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
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        "skills": []
      },
      {
        "id": 111964,
        "title": "Propulsion Engineer Intern (Summer 2027)",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/ur6uYC6-propulsion-engineer-intern-summer-2027",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
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        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 111965,
        "title": "Propulsion Engineer Intern (Winter 2027)",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/kDuEypM-propulsion-engineer-intern-winter-2027",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
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        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 111967,
        "title": "Software Defined Radio Hardware Associate (Summer 2027)",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/k8Oq6pb-software-defined-radio-hardware-associate-summer-2027",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
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        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 111968,
        "title": "Software Defined Radio Hardware Associate (Winter 2027)",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/KIcXeYZ-software-defined-radio-hardware-associate-winter-2027",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
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        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 111969,
        "title": "Software Defined Radio Hardware Intern (Summer 2027)",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/dEJU7xq-software-defined-radio-hardware-intern-summer-2027",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
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        "skills": []
      },
      {
        "id": 111970,
        "title": "Software Defined Radio Hardware Intern (Winter 2027)",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/qo6SgIG-software-defined-radio-hardware-intern-winter-2027",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
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        "skills": []
      },
      {
        "id": 111971,
        "title": "Technical Project Management Intern (Summer 2027)",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/Dixz00d-technical-project-management-intern-summer-2027",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
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        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 111972,
        "title": "Technical Project Management Intern (Winter 2027)",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/Oc65v6G-technical-project-management-intern-winter-2027",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
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        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 112062,
        "title": "Electrical Integration Associate - RF (Summer 2027)",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/6eznV1n-electrical-integration-associate-rf-summer-2027",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 112063,
        "title": "Electrical Integration Intern - RF (Summer 2027)",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/Ya340L6-electrical-integration-intern-rf-summer-2027",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 112064,
        "title": "Harness Design Engineer Intern (Summer 2027)",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/E4ZuJOt-harness-design-engineer-intern-summer-2027",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 112065,
        "title": "Harness Design Engineer Intern (Winter 2027)",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/5IOhQPC-harness-design-engineer-intern-winter-2027",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 112066,
        "title": "IT Support Technician Associate (Winter 2027)",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/zaE5VKU-it-support-technician-associate-winter-2027",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Support",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 112067,
        "title": "RF Validation Intern (Summer 2027)",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/FkMdplr-rf-validation-intern-summer-2027",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
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        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 112068,
        "title": "RF Validation Intern (Winter 2027)",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/iWSFN4S-rf-validation-intern-winter-2027",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
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        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 112069,
        "title": "Software Developer, Network Software Associate (Summer 2027)",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/5SCFGFw-software-developer-network-software-associate-summer-2027",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
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        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 112070,
        "title": "Software Developer, Network Software Associate (Winter 2027)",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/pm4ijGq-software-developer-network-software-associate-winter-2027",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 112071,
        "title": "Software Developer, Network Software Intern (Summer 2027)",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/PpdhkD0-software-developer-network-software-intern-summer-2027",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
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        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 112072,
        "title": "Software Developer, Network Software Intern (Winter 2027)",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/35xc1G0-software-developer-network-software-intern-winter-2027",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
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        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 112073,
        "title": "Supplier Quality Engineer Associate (Winter 2027)",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/2MRClCb-supplier-quality-engineer-associate-winter-2027",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 112074,
        "title": "Supplier Quality Engineer Intern (Winter 2027)",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/UAnWQ2Y-supplier-quality-engineer-intern-winter-2027",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 112075,
        "title": "Thermal Associate Engineer (Summer 2027)",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/wzlpcHf-thermal-associate-engineer-summer-2027",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 112076,
        "title": "Thermal Associate Engineer (Winter 2027)",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/yfn3mJ1-thermal-associate-engineer-winter-2027",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 112077,
        "title": "Thermal Intern (Summer 2027)",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/MDDYvTQ-thermal-intern-summer-2027",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
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        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 112078,
        "title": "Thermal Intern (Winter 2027)",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/eNQznhQ-thermal-intern-winter-2027",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
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        "skills": []
      },
      {
        "id": 112079,
        "title": "Wire Harness Technician",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/kzmNog1-wire-harness-technician",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 112189,
        "title": "Electrical Integration Associate - Avionics (Winter 2027)",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/a9e3Nkb-electrical-integration-associate-avionics-winter-2027",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 112190,
        "title": "Electrical Integration Intern - Avionics (Winter 2027)",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/cOv5Zrg-electrical-integration-intern-avionics-winter-2027",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 112191,
        "title": "Project Manager, Configuration Management",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/RzZeJCB-project-manager-configuration-management",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 112192,
        "title": "RF Validation Associate (Summer 2027)",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/cyrooIh-rf-validation-associate-summer-2027",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 112193,
        "title": "RF Validation Associate (Winter 2027)",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/nHDWLBz-rf-validation-associate-winter-2027",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 112194,
        "title": "Team Lead - Propulsion Manufacturing",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/QVX0USR-team-lead-propulsion-manufacturing",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 112796,
        "title": "Financial Analyst",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/89h2T4z-financial-analyst",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 113280,
        "title": "Automation & Controls Engineering Associate (Summer 2027)",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/HExHJcs-automation-controls-engineering-associate-summer-2027",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 113281,
        "title": "Automation & Controls Engineering Associate (Winter 2027)",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/LhwHOET-automation-controls-engineering-associate-winter-2027",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 113282,
        "title": "Automation & Controls Engineering Intern (Summer 2027)",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/O35gDSf-automation-controls-engineering-intern-summer-2027",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 113283,
        "title": "Automation & Controls Engineering Intern (Winter 2027)",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/SsaD4W8-automation-controls-engineering-intern-winter-2027",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 113284,
        "title": "Electrical Engineering Team Lead",
        "url": "https://www.ycombinator.com/companies/astranis/jobs/np43Ypx-electrical-engineering-team-lead",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
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        "answer": "Meesho – short for Meri Shop (My Shop) – was founded by Vidit Aatery and Sanjeev Barnwal in 2015. Vidit and Sanjeev were wing mates at the Indian Institute of Technology (IIT) Delhi hostel, with their rooms located diagonally opposite each other. Upon completion of their engineering, Vidit worked with Indian consumer goods major ITC for a couple of years, followed by a year-long stint at ad-tech startup InMobi. Sanjeev joined Sony in Japan, contributing to the camera technology for DSLRs and mobiles. **\\**\\The duo got back in touch in May 2015 and decided to start up. For them, two things were clear.  One, it was a great time to be a tech entrepreneur in India – doing anything else would mean not living up to their potential. Two, solving a large-scale problem that affects more than 100 million people and something they can relate to. \\\\Soon, Vidit and Sanjeev realized that most small businesses in India were still offline. They only sold within their communities and localities, which limited their earning potential. \\\\On the consumer side, traditional e-commerce companies focused on the metros and relatively affluent consumers, leaving smaller cities and those with lower incomes out of the internet commerce revolution. Vidit and Sanjeev wanted to take the benefits of e-commerce to this cohort of consumers, democratizing internet commerce for everyone. \\\\To that end, Vidit and Sanjeev gauged the immense potential of social networks as a sales channel early on. They created a platform that enabled millions of people, including homemakers, to become entrepreneurs and resell products in their network via WhatsAp. Meesho pioneered social commerce in India and it now has \\~16 million entrepreneurs on the platform, of which over 10 million are women. \\\\What started as an idea to digitize India’s unorganized retail is now a $4.9B e-commerce company, a single thriving ecosystem of sellers, entrepreneurs and consumers. Meesho’s evolution from pure play social commerce to e-commerce is a testament to how the company is transforming the industry and making e-commerce accessible to the masses. With a vision to enable 100 million small businesses to succeed online, Meesho is continuously facilitating MSMEs’ transition from the offline to the online world."
      },
      {
        "question": "How did you decide to apply to Y Combinator? What was your experience applying, going through the batch, and fundraising at demo day?",
        "answer": "Put simply, Vidit and Sanjeev decided to apply to Y Combinator because they were fans of Paul Graham's iconic essays 🙂They were hungry to learn how to start up from great mentors and other entrepreneurs in Silicon Valley – the global hub of tech innovations and startups. Y Combinator’s application process made Vidit and Sanjeev think hard about what they were building, what unique insight they had that no one else did, etc. Some of these fundamental questions helped refine their thinking a great deal. While going through the batch, they learned a lot about growth and user behavior from other startups. At the same time, Y Combinator partners connected them to other entrepreneurs like Twitch co-founder Emmett Shear, who shared valuable advice with Vidit and Sanjeev on how to get insights from users to build products."
      },
      {
        "question": "How have you kept in touch with the YC community and continued to use YC resources & programs since the batch ended?",
        "answer": "The Y Combinator community is very active, both in India as well as globally. Vidit and Sanjeev are now close friends with some of the other Y Combinator founders. They often brainstorm together on the challenges they are working on, always learning something new in the process. "
      },
      {
        "question": "What's the history of your company from getting started until the present day? What were the big inflection points?",
        "answer": "When Sanjeev and Vidit got together in July 2015, they were looking at building a hyperlocal platform for fashion. During the early days, the founders did everything from taking shop inventories to cataloging them on the app to making the deliveries themselves – listening intently to feedback from users and suppliers all this while. A couple of iterations later, Meesho became a social commerce platform where resellers used WhatsApp, Facebook and Instagram to become a bridge between suppliers and consumers. Millions of resellers, most of them women, were able to supplement their household income by starting virtual stores on social channels without any investment and selling to their community. In the process, they achieved financial independence – besides a sense of accomplishment and identity. While Meesho pioneered the concept of social commerce in India, e-commerce adoption tailwinds from COVID-19 saw many consumers become more comfortable with directly shopping online. This was a huge opportunity for Meesho to tap and the company has been operating a marketplace connecting sellers and consumers (in addition to WhatsApp-led reselling) for over 1.5 years now. Direct sales on the platform now account for 80% of Meesho’s business. **Funding:** In July 2016, Meesho was selected by Y Combinator for a three-month summer program. In October 2017, the company raised $3.1 million in a [Series A round](https://en.wikipedia.org/wiki/Series_A_round) from investors led by Elevation Capital (formerly SAIF Partners), following it up with a Series B round of $11.5 million in June 2018. Five months later, Meesho closed its Series C round of $50 million at a valuation of $200-250 million. Soon, Meta (formerly Facebook) came aboard as an investor in August 2019 and the company raised 125 million, becoming India’s first startup to be backed by the social network. In April 2021, Meesho turned a [unicor](https://www.moneycontrol.com/news/business/meesho-raises-300-million-led-by-softbank-enters-unicorn-club-6729831.html)n with SoftBank leading a $300 million funding round that valued the company at $2.1 billion. Later in the year, Meesho raised [$570 million](https://www.moneycontrol.com/news/business/meesho-raises-570-million-from-fidelity-b-capital-others-at-4-9-billion-valuation-7524951.html) in its Series F round, doubling its valuation to $4.9 billion. The company has so far raised $1.06 billion from marquee investors including Prosus Ventures, Elevation Capital, Sequoia Capital, Good Capital and Symphony International. **Growth and scale:** 2021 and 2022 were breakout years for Meesho with the business growing exponentially and witnessing strong momentum on several fronts. Meesho became the world’s most downloaded e-commerce app globally in October 2021, as per [data.ai](http://data.ai). It repeated the feat in the first half of 2022, logging record downloads, according to Apptopia. During the calendar year 2022, the Meesho app recorded the highest Monthly Active Users worldwide, as per [data.ai](http://data.ai). In 2022, the company saw 910 million orders, with nearly 80% of them coming from small towns,  showcasing how the company’s value proposition of affordability continues to be a significant differentiator. Affordable, relatable merchandise mirroring local markets has helped Meesho make inroads into homes of first-time internet users across the country. The company’s 85 million+ active product listings and strong value prop of everyday low prices has resulted in 140 million annual transacting users. On the seller side, the company’s relentless focus on digitizing small businesses is bearing fruit. Driven by industry-first initiatives such as zero commission and by ensuring there’s no private label play or tiering of sellers, Meesho’s supplier base has grown to over 825,000. Three in five of them are new-to-e-commerce and selling on Meesho for the first time. One of the reasons Meesho is able to deliver on its promise of everyday low prices is because of its asset-light structure, wherein it works with third-party logistics players for order fulfillment. Meesho is the single-largest contributor to India’s fast-growing third-party logistics industry, accounting for \\~35% of all shipments delivered by national players. **Inflection points:** The landmark entry of telecom operator Reliance Jio revolutionized India’s internet landscape. The availability of fast data, almost free of cost, catalyzed internet penetration, taking it to the deepest and remotest corners of the country. As other telecom companies followed suit, almost all of India became the Target Addressable Market in one fell swoop – opening the doors of opportunity for e-commerce companies. Additionally, the Covid-19 pandemic paved the way for a huge transformation in India’s retail landscape. Widespread adoption of e-commerce by millions of consumers across the country marked a record shift from offline to online. At the same time, millions of sellers discovered the potential of e-commerce platforms and embarked on their online journey."
      },
      {
        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "Meesho — India’s only true online marketplace — is altering the status quo with an asset-light business model to make e-commerce inclusive and accessible for the next billion users in India.Over the last 15 years, e-commerce in India evolved with a focus on convenience-seeking customers in metros and Tier 1 cities with enough purchasing power. Much less attention was paid to residents of smaller towns and those from lower income groups with different needs around selection and affordability. Meesho is constantly working towards enabling access for this cohort of customers, reimagining the internet commerce journey for them. Over the last seven years, the company has built a simple and easy-to-use e-commerce platform that’s helped millions of new-to-ecommerce users come online. The company currently has close to \\~140 million annual transacting customers. Additionally, Meesho’s vision is to enable the smallest of sellers in India to digitize their business and reap the benefits of online commerce: a much bigger market, higher incomes, a digital footprint, et al. Driven by this vision, Meesho has routinely identified and solved the challenges that potentially deter sellers from embracing e-commerce. The company launched disruptive, industry-first initiatives like zero seller commission that leave more money in the hands of suppliers and allow them to expand their business. As India’s only true e-commerce marketplace, Meesho does not differentiate between sellers on the basis of tiers, nor does it have private labels or an inventory-led play. Meesho was built on the core principle of democratization of internet commerce for the smallest of sellers across the country."
      },
      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "Creating a level playing field for small businesses to succeed online while catering to underserved, price-sensitive users — Meesho is on a mission to democratize internet commerce for everyone. India’s unorganized retail is estimated to account for 85% of the overall retail sector, indicating a huge opportunity for small businesses and consumers to come online. All that is required is the right platform and opportunity, a little bit of resources and some hand holding. Additionally, of the \\~700M active internet users in India, only 216M transact online. There is a large chunk of people in tier 2+ cities who do not transact online. Meesho’s vision is to bring underserved users into the e-commerce fold by leveraging technology, its wide reach and strong understanding of how India shops. If Meesho truly succeeds, small businesses will be empowered to sell their wares across the country, earn more and generate employment at scale, taking India closer to its goal of a $5 trillion economy. On the other hand, consumers will be able to access affordable, relatable merchandise from all corners of the country, fulfilling their aspirations."
      }
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        "visa": "Will sponsor",
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      {
        "id": 96881,
        "title": "Provider-Only Clinical Account Executive",
        "url": "https://www.ycombinator.com/companies/athelas/jobs/uLHfZ4Y-provider-only-clinical-account-executive",
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        "type": "Full-time",
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        "id": 96882,
        "title": "Senior Engineering Manager, Platform Infrastructure Engineering",
        "url": "https://www.ycombinator.com/companies/athelas/jobs/kYJblx6-senior-engineering-manager-platform-infrastructure-engineering",
        "location": "Mountain View, CA / San Francisco, CA / Los Angeles, CA / Remote (US)",
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        "role": "Engineering",
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        "id": 96883,
        "title": "Implementation Consultant",
        "url": "https://www.ycombinator.com/companies/athelas/jobs/oygAgnE-implementation-consultant",
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        "role_type": null,
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        "title": " Onboarding Manager",
        "url": "https://www.ycombinator.com/companies/athelas/jobs/v2dF8t3-onboarding-manager",
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        "id": 96885,
        "title": "Implementation Manager, RCM Launch",
        "url": "https://www.ycombinator.com/companies/athelas/jobs/dhcvHet-implementation-manager-rcm-launch",
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        "type": "Full-time",
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        "id": 96886,
        "title": "Enterprise Account Executive, Strongline ",
        "url": "https://www.ycombinator.com/companies/athelas/jobs/WyfmG4a-enterprise-account-executive-strongline",
        "location": "Remote (US)",
        "type": "Full-time",
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        "role_type": null,
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        "id": 96888,
        "title": "Enterprise Sales Director, RCM",
        "url": "https://www.ycombinator.com/companies/athelas/jobs/6ScTPnm-enterprise-sales-director-rcm",
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        "type": "Full-time",
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        "id": 96889,
        "title": "HR Compliance, Risk & Policy Lead",
        "url": "https://www.ycombinator.com/companies/athelas/jobs/irjrWuP-hr-compliance-risk-policy-lead",
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        "id": 96890,
        "title": "Senior Analyst, Denial Management (India)",
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        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
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        "experience": "5+ years",
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        "id": 96891,
        "title": "Senior Analyst, Rejection Management (India)",
        "url": "https://www.ycombinator.com/companies/athelas/jobs/ytX9AvZ-senior-analyst-rejection-management-india",
        "location": "Gurugram, India",
        "type": "Full-time",
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        "role_type": null,
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        "experience": "5+ years",
        "visa": "US citizen/visa only",
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        "id": 96892,
        "title": "Data Operation Analyst (India)",
        "url": "https://www.ycombinator.com/companies/athelas/jobs/SH6TOk1-data-operation-analyst-india",
        "location": "Gurugram, India",
        "type": "Full-time",
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        "role_type": null,
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        "id": 96893,
        "title": "Senior Manager, FP&A & Strategic Finance",
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        "location": "Mountain View, CA / Remote (US)",
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        "role": "Sales",
        "role_type": null,
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        "experience": "5+ years",
        "visa": "US citizen/visa only",
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        "id": 96894,
        "title": "Data Operations Analyst (Bangladesh)",
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        "role": "Operations",
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        "id": 96895,
        "title": "Senior Medical Coder (India)",
        "url": "https://www.ycombinator.com/companies/athelas/jobs/vIccpOL-senior-medical-coder-india",
        "location": "Gurugram, India",
        "type": "Full-time",
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        "role_type": null,
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        "experience": "5+ years",
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        "id": 96896,
        "title": "Technical Operations Manager, Enterprise Central Ops",
        "url": "https://www.ycombinator.com/companies/athelas/jobs/TLyS5Du-technical-operations-manager-enterprise-central-ops",
        "location": "Mountain View, CA",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
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        "experience": "5+ years",
        "visa": "US citizen/visa only",
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        "id": 96897,
        "title": "Senior Operations Manager, Rules & Automation",
        "url": "https://www.ycombinator.com/companies/athelas/jobs/AVR4xxE-senior-operations-manager-rules-automation",
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        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
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        "experience": "5+ years",
        "visa": "US citizen/visa only",
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        "id": 96898,
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        "type": "Full-time",
        "role": "Sales",
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        "experience": "Any (new grads ok)",
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        "id": 96899,
        "title": "Strategic Operations Manager, Accounts",
        "url": "https://www.ycombinator.com/companies/athelas/jobs/JNbAkAE-strategic-operations-manager-accounts",
        "location": "Remote (US)",
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        "role_type": null,
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        "experience": "5+ years",
        "visa": "US citizen/visa only",
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        "id": 96900,
        "title": "GTM Chief of Staff",
        "url": "https://www.ycombinator.com/companies/athelas/jobs/4kjfHqW-gtm-chief-of-staff",
        "location": "Mountain View, CA",
        "type": "Full-time",
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        "salary_range": "",
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        "visa": "US citizen/visa only",
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        "id": 96902,
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        "type": "Full-time",
        "role": "Engineering",
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        "visa": "US citizen/visa only",
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        "title": "Director, Growth Marketing",
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        "type": "Full-time",
        "role": "Marketing",
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        "salary_range": "",
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        "experience": "5+ years",
        "visa": "US citizen/visa only",
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        "id": 96904,
        "title": "Product Support Specialist (Bangladesh)",
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        "id": 96906,
        "title": "Senior Revenue Accountant",
        "url": "https://www.ycombinator.com/companies/athelas/jobs/4aWMIhA-senior-revenue-accountant",
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        "type": "Full-time",
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        "role_type": null,
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        "experience": "5+ years",
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        "id": 96907,
        "title": "Assistant Manager, RCM Operations (Bangladesh)",
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        "location": "Dhaka, Bangladesh",
        "type": "Full-time",
        "role": "Operations",
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        "visa": "US citizen/visa only",
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        "id": 96908,
        "title": "Software Engineer, EHR Platform & Data (India)",
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        "location": "Gurugram, India",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
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        "experience": "Any (new grads ok)",
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        "skills": []
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        "id": 96909,
        "title": "Senior Backend Engineer, RCM AI",
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        "location": "Mountain View, CA / San Francisco, CA / Los Angeles, CA / New York City, NY",
        "type": "Full-time",
        "role": "Engineering",
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        "experience": "5+ years",
        "visa": "US citizen/visa only",
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        "id": 96910,
        "title": "Senior Operations Manager, Infrastructure",
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        "location": "Mountain View, CA",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
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        "experience": "5+ years",
        "visa": "US citizen/visa only",
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        "id": 96911,
        "title": "Operations Manager, Patient Experience",
        "url": "https://www.ycombinator.com/companies/athelas/jobs/A3nqxNW-operations-manager-patient-experience",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
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        "experience": "5+ years",
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        "id": 96912,
        "title": "Operations Manager, Infrastructure",
        "url": "https://www.ycombinator.com/companies/athelas/jobs/x5gm2kl-operations-manager-infrastructure",
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        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
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        "experience": "5+ years",
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        "skills": []
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        "id": 96913,
        "title": "Manager, Revenue Accounting",
        "url": "https://www.ycombinator.com/companies/athelas/jobs/Hg5FeVC-manager-revenue-accounting",
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        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "",
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        "experience": "5+ years",
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        "id": 96914,
        "title": "Senior Technical Recruiter",
        "url": "https://www.ycombinator.com/companies/athelas/jobs/eC9Shzt-senior-technical-recruiter",
        "location": "Mountain View, CA",
        "type": "Full-time",
        "role": "Recruiting & HR",
        "role_type": "Recruiter",
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        "experience": "5+ years",
        "visa": "US citizen/visa only",
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        "id": 96916,
        "title": "Clinical Implementation Specialist",
        "url": "https://www.ycombinator.com/companies/athelas/jobs/iJguzdQ-clinical-implementation-specialist",
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        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
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        "id": 96917,
        "title": "Senior HR Compliance Manager",
        "url": "https://www.ycombinator.com/companies/athelas/jobs/bsE2MOT-senior-hr-compliance-manager",
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        "type": "Full-time",
        "role": "Recruiting & HR",
        "role_type": "Recruiter",
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        "experience": "5+ years",
        "visa": "US citizen/visa only",
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        "id": 96918,
        "title": "Account Executive, Scribe Growth",
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        "location": "Mountain View, CA / San Francisco, CA",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
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        "id": 96919,
        "title": "Systems Operations Manager",
        "url": "https://www.ycombinator.com/companies/athelas/jobs/AnuUkPs-systems-operations-manager",
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        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
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        "experience": "5+ years",
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        "skills": []
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        "id": 96920,
        "title": "Technical Recruiter (Contract)",
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        "location": "Mountain View, CA / San Francisco, CA",
        "type": "Contract",
        "role": "Recruiting & HR",
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        "id": 96921,
        "title": "Senior Operations Manager, Account Operations",
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        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
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        "experience": "5+ years",
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        "skills": []
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        "id": 96922,
        "title": "Senior Operations Manager, Accounts (West)",
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        "location": "Mountain View, CA",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
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        "experience": "5+ years",
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        "id": 96923,
        "title": "Backend Engineer, Ambient AI",
        "url": "https://www.ycombinator.com/companies/athelas/jobs/r4OgJGR-backend-engineer-ambient-ai",
        "location": "Mountain View, CA / San Francisco, CA / New York City, NY",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
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        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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        "id": 96924,
        "title": "Senior Software Engineer, Evals and AI Infra",
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        "location": "Mountain View, CA / Los Angeles, CA / San Francisco, CA / New York City, NY",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
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        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
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        "id": 96925,
        "title": "Engineering Manager, Frontend Platform (Ambient AI)",
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        "location": "Mountain View, CA / San Francisco, CA / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
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        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
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        "id": 96926,
        "title": "Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/athelas/jobs/aYWuAIe-forward-deployed-engineer",
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        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
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        "experience": "Any (new grads ok)",
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        "skills": []
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        "id": 96927,
        "title": "Software Engineer, Ambient AI",
        "url": "https://www.ycombinator.com/companies/athelas/jobs/wzgDA0T-software-engineer-ambient-ai",
        "location": "Mountain View, CA / San Francisco, CA / New York City, NY",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
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        "id": 96928,
        "title": "Senior Software Engineer, Ambient AI",
        "url": "https://www.ycombinator.com/companies/athelas/jobs/SiVbZyb-senior-software-engineer-ambient-ai",
        "location": "Mountain View, CA / San Francisco, CA / New York City, NY",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
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        "experience": "5+ years",
        "visa": "US citizen/visa only",
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        "id": 96929,
        "title": "Fullstack Engineer, AI Integrations",
        "url": "https://www.ycombinator.com/companies/athelas/jobs/aYfD08t-fullstack-engineer-ai-integrations",
        "location": "Mountain View, CA / San Francisco, CA / Los Angeles, CA / New York City, NY / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
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        "experience": "Any (new grads ok)",
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        "id": 96930,
        "title": "Senior Fullstack Engineer, RCM AI Product",
        "url": "https://www.ycombinator.com/companies/athelas/jobs/JcibvmI-senior-fullstack-engineer-rcm-ai-product",
        "location": "Mountain View, CA / San Francisco, CA / Los Angeles, CA / New York City, NY",
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        "id": 96931,
        "title": "Senior Software Engineer, AI Agents",
        "url": "https://www.ycombinator.com/companies/athelas/jobs/AmtwZhE-senior-software-engineer-ai-agents",
        "location": "Mountain View, CA / San Francisco, CA / Los Angeles, CA / New York City, NY",
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        "id": 96932,
        "title": "Senior Fullstack Engineer, PatientKeeper",
        "url": "https://www.ycombinator.com/companies/athelas/jobs/45Lhv7g-senior-fullstack-engineer-patientkeeper",
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        "url": "https://www.ycombinator.com/companies/athelas/jobs/us5zFsR-product-designer",
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        "title": "Senior Product Manager, Ambient",
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        "title": "Senior Mobile Infrastructure Engineer, Ambient AI",
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        "title": "Software Engineer, Athelas Home",
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        "title": "Senior Manager, FP&A & Strategic Finance",
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        "location": "Mountain View, CA / Remote (US)",
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        "id": 96939,
        "title": "Senior Medical Coder (India)",
        "url": "https://www.ycombinator.com/companies/athelas/jobs/43d2KRS-senior-medical-coder-india",
        "location": "Gurugram, India",
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        "title": "Technical Operations Manager, Enterprise Central Ops",
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        "location": "Mountain View, CA",
        "type": "Full-time",
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        "title": "Senior Operations Manager, Rules & Automation",
        "url": "https://www.ycombinator.com/companies/athelas/jobs/n795USP-senior-operations-manager-rules-automation",
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        "id": 96942,
        "title": "Sales Development Representative, Commure Agents  ",
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        "type": "Full-time",
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        "title": "Strategic Operations Manager, Accounts",
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        "title": "GTM Chief of Staff",
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        "id": 96945,
        "title": "Staff Backend Engineer",
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        "role": "Engineering",
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        "id": 96946,
        "title": "Director, Growth Marketing",
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        "experience": "5+ years",
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        "id": 96947,
        "title": "Senior Revenue Accountant",
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        "experience": "5+ years",
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        "id": 96948,
        "title": "Senior Backend Engineer, RCM AI",
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        "role": "Engineering",
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        "visa": "US citizen/visa only",
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        "id": 96949,
        "title": "Senior Operations Manager, Infrastructure",
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        "type": "Full-time",
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        "role_type": null,
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        "title": "Operations Manager, Patient Experience",
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        "id": 96951,
        "title": "Operations Manager, Infrastructure",
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        "type": "Full-time",
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        "id": 96952,
        "title": "Manager, Revenue Accounting",
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        "type": "Full-time",
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        "id": 96953,
        "title": "Senior Technical Recruiter",
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        "type": "Full-time",
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        "role_type": "Recruiter",
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        "visa": "US citizen/visa only",
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        "title": "Clinical Implementation Specialist",
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        "type": "Full-time",
        "role": "Operations",
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        "id": 96955,
        "title": "Senior HR Compliance Manager",
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        "location": "Mountain View, CA",
        "type": "Full-time",
        "role": "Recruiting & HR",
        "role_type": "Recruiter",
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        "experience": "5+ years",
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        "id": 96956,
        "title": "Account Executive, Scribe Growth",
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        "location": "Mountain View, CA / San Francisco, CA",
        "type": "Full-time",
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        "role_type": null,
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        "id": 96957,
        "title": "Systems Operations Manager",
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        "experience": "5+ years",
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        "id": 96958,
        "title": "Technical Recruiter (Contract)",
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        "id": 96959,
        "title": "Senior Operations Manager, Account Operations",
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        "id": 96960,
        "title": "Senior Operations Manager, Accounts (West)",
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        "id": 96961,
        "title": "Backend Engineer, Ambient AI",
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        "role": "Engineering",
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        "id": 96962,
        "title": "Senior Software Engineer, Evals and AI Infra",
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        "id": 96963,
        "title": "Engineering Manager, Frontend Platform (Ambient AI)",
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        "type": "Full-time",
        "role": "Engineering",
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        "id": 96964,
        "title": "Forward Deployed Engineer",
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        "type": "Full-time",
        "role": "Engineering",
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        "id": 96965,
        "title": "Software Engineer, Ambient AI",
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        "id": 96966,
        "title": "Senior Software Engineer, Ambient AI",
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        "id": 96967,
        "title": "Fullstack Engineer, AI Integrations",
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        "id": 96968,
        "title": "Senior Fullstack Engineer, RCM AI Product",
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        "id": 96969,
        "title": "Senior Software Engineer, AI Agents",
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        "id": 96970,
        "title": "Senior Fullstack Engineer, PatientKeeper",
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        "type": "Full-time",
        "role": "Engineering",
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        "id": 96971,
        "title": "Product Designer",
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        "type": "Full-time",
        "role": "Design",
        "role_type": "Web design",
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        "experience": "Any (new grads ok)",
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        "id": 96972,
        "title": "Senior Product Manager, Ambient",
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        "id": 96973,
        "title": "Senior Mobile Infrastructure Engineer, Ambient AI",
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        "location": "Mountain View, CA / San Francisco, CA / Los Angeles, CA / New York City, NY",
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        "role": "Engineering",
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        "id": 96974,
        "title": "Software Engineer, Athelas Home",
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        "type": "Full-time",
        "role": "Engineering",
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        "id": 96975,
        "title": "Senior Technical Product Manager",
        "url": "https://www.ycombinator.com/companies/athelas/jobs/HPoBSAd-senior-technical-product-manager",
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        "type": "Full-time",
        "role": "Product",
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        "experience": "5+ years",
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        "skills": []
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        "id": 96976,
        "title": "Strategic Sales Associate  ",
        "url": "https://www.ycombinator.com/companies/athelas/jobs/50eRwYz-strategic-sales-associate",
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    "long_description": "SafeButler is a free comparison tool that searches hundreds of insurance websites at once to find the information you need to make the right decisions on insurance",
    "one_liner": "Your chief servant for shopping insurance",
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    "fb_url": "https://www.facebook.com/SafeButler-1389857461160463/",
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        "full_name": "Vincent Wei",
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        "user_id": 5585,
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    "id": 1616,
    "name": "Flock Safety",
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    "long_description": "Flock Safety provides the first public safety operating system that empowers private communities and law enforcement to work together to eliminate crime. We are committed to protecting human privacy and mitigating bias in policing with the development of best-in-class technology rooted in ethical design, which unites civilians and public servants in pursuit of a safer, more equitable society. \r\n\r\nOur Safety-as-a-Service approach includes affordable devices powered by LTE and solar that can be installed anywhere.  Our technology detects and captures objective details, decodes evidence in real-time and delivers investigative leads into the hands of those who matter. \r\n\r\nWhile safety is a serious business, we are a supportive team that is optimizing the remote experience to create strong and fun relationships even when we are physically apart. Our flock of hard-working employees thrive in a positive and inclusive environment, where a bias towards action is rewarded. Flock Safety is headquartered in Atlanta and operates nationwide. We have raised $150M in our Series E led by Tiger Global at a $3.5B valuation.",
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        "question": "How did you decide to apply to Y Combinator? What was your experience applying, going through the batch, and fundraising at demo day?",
        "answer": "From the moment we started Flock Safety, we had an incredibly clear, boldly audacious mission. This wouldn’t be a company that focused on nice-to-haves, or that helped other businesses cut costs or generate leads. We provide a life-or-death product, a mission-critical system for cities, that dramatically changes a community for the better. I viewed leading this company as a privilege, but also a real burden and responsibility. In the early days, when considering a partner that would help us build this kind of generational company, we saw Y Combinator as the organization that could dramatically increase the odds of our vision coming true. It hit home during YC when we heard that we had helped police in our hometown of Atlanta solve the first crime with Flock Safety devices. We knew from that moment that this idea was not just an abstraction — Flock was going to work. Throughout YC, the founding team is guided to build their company at _as face a pace as is possible_, as speed is an undeniable competitive advantage. When Demo Day was over, after we had booked meetings with investors and were well on our way to our first fundraising round, YC set the tone for scaling Flock doggedly, purposefully, and with consistent velocity, for years to come. "
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    "id": 1629,
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        "role": "Engineering",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "[CoinTracker](https://www.cointracker.io) makes cryptocurrency portfolio tracking and tax compliance simple. CoinTracker enables consumers and businesses to seamlessly track their cryptocurrency portfolio, investment performance, taxes, and more. We are a globally distributed team on a mission to enable everyone in the world to use crypto with peace of mind. [Learn more](https://www.notion.so/cointracker/CoinTracker-is-Hiring-7308c712493940a3b6e62257d283dad8) about our mission, culture, and hiring process.",
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        "full_name": "Jon Lerner",
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        "title": "CoinTracker raises $100M Series A",
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        "date": "Jan 27, 2022"
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      {
        "title": "CCH Axcess and ProSystem fx Have Crypto Tools",
        "url": "https://www.accountingweb.com/technology/accounting-software-news/cch-axcess-and-prosystem-fx-have-crypto-tools",
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        "url": "https://cointelegraph.com/news/cointracker-passes-100k-users-announces-six-new-partners",
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      {
        "title": "Cryptocurrency and the IRS: What No One Knew About Taxes",
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        "title": "CoinTracker Adds 6 Industry Partnerships for Its Crypto Tax Reporting Tool",
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        "id": 104994,
        "title": "Nino: a family office for the rest of us",
        "tagline": "A dedicated CFP and CPA team, backed by AI that connects your taxes, equity, investments, cash, and real estate into one always-current plan.",
        "body": "Jon here, co-founder and CEO of CoinTracker (W18). Today we're launching **Nino** in beta: a dedicated CFP and CPA team, backed by an AI platform that sees your whole financial picture. The advice that used to require a family office, for the rest of us.\n\n<https://www.youtube.com/watch?v=uTzNKlaG9a0>\n\n**The backstory**\n\nIn 2014, I pitched a panel of YC partners on an idea I called Nino: a personal assistant that could actually get things done for you. They passed; Justin Kan told me it was a little too early, and he was right. The detour to make it buildable became CoinTracker, now the market leader in crypto tax with 100k+ paying subscribers. Twelve years later, AI can finally be the agent, and after twelve years inside people's financial data, we know exactly what to build.\n\n**The problem**\n\nMy CPA saw last year's return and my financial advisor didn't touch taxes. Nobody saw my whole picture, and nobody kept a plan current as my life and the tax rules changed. That default costs real money: missed exercise windows on stock options, surprise AMT bills, deductions nobody caught.\n\n**How it works**\n\nEvery account connects in one place: investments, equity comp, cash, real estate, retirement, and crypto via CoinTracker. The AI models your net worth and simulates decisions like exercising ISOs or buying a home against your real numbers. A dedicated CPA and CFP review everything with you and plan year-round, not just in April. The AI does the modeling; licensed humans bring the judgment.\n\nExplore more at <https://www.usenino.com/demo/>\n\n**Who it's for**\n\nFounders and startup employees with ISOs or RSUs, executives, and anyone whose financial picture has outgrown a single professional. Flat fee, no AUM.\n\n**The ask**\n\nWe're onboarding early customers from our waitlist as capacity allows. **Sign up at [usenino.com](http://usenino.com)** — and I'd love your feedback.\n\n**Screenshots**\n\n![uploaded image](/media/?type=post&id=104994&key=user_uploads/42566/fe718e32-cdbc-422d-967d-1c3de0cc7776)\n\n![uploaded image](/media/?type=post&id=104994&key=user_uploads/42566/badc0e57-9f7e-490b-80af-2b59c310bafa)\n\n![uploaded image](/media/?type=post&id=104994&key=user_uploads/42566/f41fa406-3ef8-45a6-b94e-a6e2a8b2b5b7)\n\n![uploaded image](/media/?type=post&id=104994&key=user_uploads/42566/2a354915-549e-4c84-8b1f-c6700cd811a0)\n\n![uploaded image](/media/?type=post&id=104994&key=user_uploads/42566/781d93a8-15a9-4b97-9897-1cec88205669)\n\n",
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        "votes": 4,
        "created_at": "2026-07-08T17:24:41.800Z"
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    "id": 1769,
    "name": "Promise",
    "slug": "promise",
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    "website": "http://promise-pay.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Promise modernizes government payments helping agencies recover more revenue while giving residents flexible, humane ways to pay. We replace broken systems with tech that actually works for everyone.",
    "one_liner": "Better payment systems for governments and the communities they serve.",
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        "id": 117037,
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        "experience": "Any (new grads ok)",
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        "title": "RevenueCat: Powering Subscriptions for the App Economy",
        "url": "https://www.youtube.com/watch?v=gz4AKzSBwTk",
        "date": "Oct 01, 2025"
      },
      {
        "title": "RevenueCat raises $12M Series C as it expands its subscription management to the web | TechCrunch",
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        "title": "iOS Subscriptions are Hard | RevenueCat",
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    "founders": [
      {
        "user_id": 78090,
        "full_name": "Davit Buniatyan",
        "title": "Founder",
        "founder_bio": "Founding CEO Activeloop, PhD on leave from Princeton, AI/ML, Data and Infra, Y Combinator S18, UCL 16’ Working on Data 2.0",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/davidbuniatyan",
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        "id": 79215,
        "title": "Member of Technical Staff",
        "url": "https://www.ycombinator.com/companies/activeloop/jobs/zn1plZe-member-of-technical-staff",
        "location": "Mountain View",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $250K",
        "equity_range": "0.50% - 1.50%",
        "experience": "Any (new grads ok)",
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    "news": [
      {
        "title": "Activeloop-L0: Agentic Reasoning on Your Multimodal Data",
        "url": "https://www.activeloop.ai/resources/activeloop-l-0-agentic-reasoning-on-your-multimodal-data/",
        "date": "May 04, 2025"
      },
      {
        "title": "Introducing Deep Research for Your Multi-Modal Data",
        "url": "https://www.activeloop.ai/resources/introducing-deep-research-for-your-multi-modal-data/",
        "date": "Feb 10, 2025"
      },
      {
        "title": "Releasing Deep Lake 4.0: The Fastest Multi-Modal AI Search on Data Lakes",
        "url": "https://www.activeloop.ai/resources/deep-lake-4-0-the-fastest-multi-modal-ai-search-on-data-lakes/",
        "date": "Oct 17, 2024"
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      {
        "title": "Activeloop Named 2024 Gartner Cool Vendor in Data Management",
        "url": "https://www.activeloop.ai/resources/gartner-cool-vendor/",
        "date": "May 31, 2024"
      },
      {
        "title": "Activeloop raises $11M to grow its specialized tensor database for AI training and inference - SiliconANGLE",
        "url": "https://siliconangle.com/2024/03/26/activeloop-raises-11m-grow-specialized-database-ai-training-inference/",
        "date": "Mar 26, 2024"
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    "launches": [
      {
        "id": 102722,
        "title": "Hivemind: Continual Learning for Coding Agents",
        "tagline": "Capture every coding agent interaction across your team, train it into reusable skills, and propagate those skills to every agent in your org. On your cloud storage.",
        "body": "Hey 👋 Davit here, founder of Activeloop.\n\nToday we are introducing something we believe will reshape how engineering teams work with coding agents.\n\n**Hivemind is a continual learning layer for coding agents. It works across Claude Code, Codex, Cursor, OpenClaw, Hermes, and pi, and it stores all your data on your cloud.**\n\n<https://youtu.be/rja1DfjUdww>\n\n### The Problem: Coding Agents Don't Learn\n\nEvery engineering team building with AI agents already knows the issues.\n\n* Your senior engineer's agent debugs a tricky bug Monday. Your junior engineer hits the same bug Tuesday and starts from zero.\n* Every session begins with re-explaining your codebase and your conventions.\n* Architectural decisions made in code review evaporate the moment the session ends.\n* Your team is solving the same problems over and over, paying for the same compute every time.\n\nCoding agents do not communicate with each other out of the box. Hivemind closes the gap. An agent figures something out, every agent inherits it. Your worst run starts from your best.\n\nThe tools tackling this treat it as a memory problem. They give each agent a personal notepad. Siloed. Invisible to the rest of the team. And most of them do it by shipping your code and context to their servers.\n\nBut memory without learning doesn't make agents better.\n\n**We decided to go beyond memory.**\n\n![uploaded image](/media/?type=post&id=102722&key=user_uploads/78090/51dc4451-7936-4e37-a0ad-e8139a646430)\n\n### Introducing Hivemind: Continual Learning for Coding Agents\n\nHivemind runs on a simple chain: **capture, codify, optimize, propagate.**\n\n**1. Trace capture.** Every agent interaction (prompts, tool calls, file reads, reasoning chains, outputs) is captured automatically as a structured trace.\n\n**2. Skill codification.** Repeated patterns across traces get codified into reusable skills. Mix of automatic detection and LLM-assisted extraction, with workspace-level scoping so skills don't leak between teams.\n\n**3. Skill optimization.** This is new today. Skills get trained and optimized. We've implemented SkillOpt (a text-space optimizer out of Microsoft, Shanghai Jiao Tong, and Fudan) directly into Hivemind. It improves each skill the way you'd tune a model, keeping only the edits that prove out on a held-out test.\n\nThat approach lifts agent accuracy by +19.1 points inside Claude Code and +24.8 inside Codex, and wins or ties on all 52 setups tested. It runs offline, so it adds zero cost at inference. Your skills get sharper over time instead of bloating.\n\n**4. Skill propagation.** Optimized skills flow into every agent's context at inference time, across every Hivemind-connected agent in your workspace.\n\nWorks across:\n\n* Claude Code\n* Codex\n* Cursor\n* OpenClaw\n* Hermes\n* pi\n\n![uploaded image](/media/?type=post&id=102722&key=user_uploads/78090/e1bddec6-5c2c-4409-aa2a-dd28fd8b2405)\n\n### On Your Cloud\n\nThis is the part our customers care about most. Your traces, your skills, your cloud storage. The other tools in this space treat your codebase as their training data. We don't. Hivemind store data on your cloud storage bucket, which is the only way a continual learning layer should ever touch your source.\n\n### **Codebase knowledge graph:**\n\n* Hivemind builds a graph of your codebase\n* Agents reason over how files, functions, patterns, and prior fixes connect\n* Structure beats keyword search: agents retrieve relevant context instead of grepping blindly\n\n![uploaded image](/media/?type=post&id=102722&key=user_uploads/78090/414a60d3-f2b1-4da0-8bec-236e44f16042)\n\n### Example\n\n> Your senior engineer's agent figures out a tricky migration pattern in your payment service on Monday.\n>\n> Tuesday, your junior engineer's agent hits the same migration shape in a related service. The skill has already crystallized, and SkillOpt has already sharpened it against the cases where the first version fell down. The agent executes it in one shot.\n\nRepeat work stops being repeat work.\n\n### The Results: 25% Lower Cost, 41% Fewer Tokens\n\nWe benchmarked Hivemind against memory tools using LoCoMo, the standard evaluation for long-horizon agent memory.\n\nHivemind matches Mem0 on accuracy.\n\n* **25% lower cost per 100 QA**\n* **41% fewer output tokens**\n* **31% fewer agent turns**\n\nSingle-agent benchmarks understate the real story. The compounding effect of org-wide skill propagation isn't captured in these numbers. In production, the gap widens every week as your trace library grows.\n\n![uploaded image](/media/?type=post&id=102722&key=user_uploads/78090/3df657fa-e32b-4329-a667-d055d39d93be)\n\nFull methodology: [deeplake.ai/hivemind](http://deeplake.ai/hivemind)\n\n### Why This Matters\n\nMost developer tools deliver linear value. Hivemind compounds.\n\n* **Week 1:** your agents stop repeating mistakes.\n* **Month 1:** they're learning from each other.\n* **Quarter 1:** your whole engineering org is operating with capability that survives team changes, onboarding cycles, and turnover.\n\nYour team's hard-won knowledge accumulates.\n\n![uploaded image](/media/?type=post&id=102722&key=user_uploads/78090/6dfbd341-418b-4bd6-bd63-0d191625378c)\n\n### What's Next: From Skills to Custom Models\n\nBecause we store trajectories in Deeplake's tensor format, traces are ready as PyTorch datasets. A handful of advanced customers are already fine-tuning their own open-source models on the trajectories their Claude and Codex agents generated last week.\n\nSame data layer. Two paths to continual learning.\n\nFull tutorial and public examples shipping in the coming weeks.\n\n### Get Started\n\nTry Hivemind: [deeplake.ai/hivemind](http://deeplake.ai/hivemind)\n\nGitHub: [github.com/activeloopai/hivemind](http://github.com/activeloopai/hivemind)\n\nSkillOpt paper: [arxiv.org/pdf/2605.23904](http://arxiv.org/pdf/2605.23904)\n\nThree commands and your team's agents share one brain by end of day.",
        "url": "https://www.ycombinator.com/launches/Qio-hivemind-continual-learning-for-coding-agents",
        "votes": 9,
        "created_at": "2026-06-08T23:07:52.598Z"
      },
      {
        "id": 95919,
        "title": "Activeloop Scientific Discover: The AI Analyst for Scientific Research",
        "tagline": "Search, reason, and discover across 450M+ pages and 175TB of scientific research papers. Not just text, but charts, molecules, formulas, and tables.",
        "body": "Hey 👋 Davit here, founder of Activeloop.\n\nToday we are introducing something we believe will fundamentally reshape how scientific discovery happens.\n\n**Activeloop’s Scientific Discover, an intelligence agent built on one of the largest datasets of indexed scientific research. Here are the details:**\n\nhttps://www.youtube.com/watch?v=x8Lv5-C9ntw\n\n## The Problem: Scientific Data Is Broken\n\nEvery scientist already knows the pain.\n\n* Critical insights are buried across PDFs, images, tables, and supplementary files.\n* Key figures live inside screenshots, not structured databases.\n* Twenty years of research is trapped in incompatible formats and outdated systems.\n* Every new project begins with weeks of manual data wrangling.\n\nThe White House recently launched the Genesis Mission, recognizing that fragmented scientific data is one of the biggest blockers to breakthroughs in drug discovery, materials science, climate modeling, and more.\n\nThe Genesis Mission aims to build an integrated AI platform that harnesses Federal scientific datasets. The goal is to train scientific foundation models and create AI agents that test hypotheses, automate research workflows, and accelerate scientific breakthroughs.\n\nThe country is trying to unify scientific data for AI.\n\n**We decided to show what that future looks like.**\n\n## Introducing L1: The Scientific Data Agent\n\nTo demonstrate what becomes possible when scientific data is indexed natively for AI, we built **Activeloop L1**, a multimodal scientific research agent running on top of:\n\n* 25M open access papers\n* 450M+ plus pages\n* 175TB of fully visual indexed scientific data\n\nUnlike traditional NLP or paper search, **L1 sees science**.\n\nIt understands:\n\n* charts\n* molecules\n* protein structures\n* equations\n* experimental tables\n* clinical graphs\n* and the text that surrounds them\n\nThis allows L1 to answer questions no text only model can touch.\n\n## The Results: A New State of the Art **48% SOTA on Humanity’s Last Exam with Tools**\n\n![uploaded image](/media/?type=post&id=95919&key=user_uploads/78090/453774e7-7cc6-47de-a344-76a9f7ca2460)\n\nL1 (Gemini 3 Pro) outperforms top models including Grok Heavy with tools, and GPT 5 Pro with tools.\n\n### **Multimodal scientific reasoning**\n\nL1 synthesizes biochemical structures with clinical findings to answer end-to end research questions.\n\n### Example Query\n\n> Which compounds show novel synergy with metformin for treating type 2 diabetes?\n\nL1 scans molecular structures, clinical outcomes, and experimental tables at the same time and produces grounded, citation linked answers.\n\n## Why This Matters\n\nMultimodal scientific agents unlock capabilities that were not possible before.\n\nThis extends far beyond drug discovery. It applies to materials science, climate research, algorithmic innovation, and more.\n\nThe applications are enormous.\n\n**Try L1 Today with Our OpenAI Compatible API**\n\n![uploaded image](/media/?type=post&id=95919&key=user_uploads/78090/f45683d6-c74b-4994-88e7-d54bda796ba0)\n\n## Get Started\n\nTry the Science Agent: https://chat.activeloop.ai/science\n\nDocs and API: https://docs.activeloop.ai\n\nBuild with the OpenAI compatible API today.",
        "url": "https://www.ycombinator.com/launches/Ox5-activeloop-scientific-discover-the-ai-analyst-for-scientific-research",
        "votes": 29,
        "created_at": "2025-12-02T15:44:42.819Z"
      },
      {
        "id": 94768,
        "title": "Activeloop - Unlock AI Data Analysis for GTM",
        "tagline": "Less Time in CRM, More Sales. Get instant insights across your entire stack from CRMs/ERPs to sales decks and product analytics. ",
        "body": "Hey 👋! Founder of Activeloop here. I am excited to introduce Activeloop AI Data Analysis for GTM operations. It lets you drill down from an executive dashboard to a single data point with just-in-time intelligence.\n\nWe didn’t built yet another dashboarding tool. It’s a solution to the single biggest bottleneck holding back your commercial strategy. The endless cycle of manual data preparation, integration, and reconciliation.\n\nhttps://www.youtube.com/watch?v=4Ua3Llox2HE\n\n### The Problem: You’re Drowning in Data Chaos\n\nThe story is always the same:\n\n* **Analysts as Data Janitors:** Your most valuable analysts are buried in manual work, stitching together data from multiple CRMs, reconciling Salesforce with SAP, and cleaning up messy, inconsistent fields.\n* **Reporting Backlogs:** A simple request for a new report kicks off a multi-week process. By the time it’s ready, the moment has passed and leadership doesn't trust the numbers anyway.\n* **Sales Reps Suffer:** Reps waste 4-6 hours every week just hunting for information and doing administrative work instead of selling.\n\nYou're tasked with driving strategy, but you're stuck managing data chaos.\n\n![uploaded image](/media/?type=post&id=94768&key=user_uploads/78090/e282c1b1-d361-4f5a-a4ac-3a721b21d96d)\n\n### Our Solution: The AI Analyst that Vibes Intelligence\n\nActiveloop is an AI Data Analyst for your operations team. We automate the painful, time-consuming data work that currently consumes 70%+ of your team's time.\n\nInstead of fighting with brittle integrations, we connect your fragmented sources such as CRMs, ERPs, product analytics, databases, data warehouses, even unstructured contracts and call transcripts, into a unified, queryable resource.\n\n![uploaded image](/media/?type=post&id=94768&key=user_uploads/78090/342debf4-c4fb-4a02-8480-ea5b128e26c9)\n\n### From Weeks to Minutes: Deliver “Just-in-Time” Intelligence\n\nActiveloop eliminates the wait, empowering your team with true self-service analytics.\n\n* **For Leadership:** In a forecast meeting, infinitely drill down into the data with simple questions like, \"Why did this region's deal cycle lengthen last quarter?\" Get immediate answers, without ever having to say, \"We'll get back to you.\"\n* **For Operations:** Free your analysts from being \"report builders\" and empower them to be strategists. They can finally focus on high-impact projects, confident that the underlying data is unified and trusted.\n\n![uploaded image](/media/?type=post&id=94768&key=user_uploads/78090/f5a7e592-3655-494e-a620-f92e99dc74e9)\n\n### We Tackle Your Messy Data Head-On\n\nYou’re probably thinking: \"How can AI possibly navigate our messy data? We have 50 different fields for the same metric.\"\n\nYou're right. That's the biggest blocker for any data initiative. That’s why our platform includes an **AI-assisted data mapping and taxonomy management layer**. It helps you harmonize your complex environment to build a clean data foundation that generates insights everyone trusts.\n\n![uploaded image](/media/?type=post&id=94768&key=user_uploads/78090/22c38e19-0d94-49cb-9485-e5de80ce8e3d)\n\n### Let's Solve Data Chaos Together\n\nIf you’re tired of seeing your team buried in manual data work, we want to talk to you.\n\n**Book a Call:** https://activeloop.ai/sales/\n\n\\\n**Get Started Now:** https://chat.activeloop.ai",
        "url": "https://www.ycombinator.com/launches/OeW-activeloop-unlock-ai-data-analysis-for-gtm",
        "votes": 107,
        "created_at": "2025-10-20T15:41:53.206Z"
      },
      {
        "id": 90294,
        "title": "Activeloop L0: State-of-the-Art RAG Accuracy on Your Data",
        "tagline": "Turn PDFs, images & tables into instant, cited answers. Agentic RAG that just works.",
        "body": "Hey! Davit here form Activeloop. While working on [Deep Lake](https://github.com/activeloopai/deeplake), I have seen many RAG systems collapse when exposed to production-scale corporate data. They often rely on predefined loops, custom logic and rigid agent scaffolds. Activeloop-L0 provides your agent with highly precise and answers grounded on your multimodal data.\n\nhttps://youtu.be/pnU9yd4KWy0\n\n**Why can’t we reliably analyze corporate documents?**\n\n* **Architectural hurdles**: messy data integrations, unexpected infra costs, and reliability/safety constraints.\n* **Commodity RAG** lacks depth for multimodal enterprise data (documents, images, audio).\n* **Infrastructure burden**: parsing, chunking, embeddings, indexing, vector DBs, and agent loops slow teams.\n\n**But wait, is RAG still relevant despite large context models?**\n\nLet’s consider four extensive NASA documents \\[[1](https://www.nasa.gov/wp-content/uploads/2022/03/sls-reference-guide-2022-v2-508-0.pdf), [2](https://www.nasa.gov/wp-content/uploads/2023/02/orion-reference-guide-111022.pdf), [3](https://www.lpi.usra.edu/lunar/artemis/Artemis-I-Reference-Guide_NP-2022-03-3045-HQ.pdf), [4](https://www.ulalaunch.com/docs/default-source/rockets/2023_vulcan_user_guide.pdf)\\], each between 80 to 100 pages, containing visual descriptions, and pose a highly complex question.\n\n![uploaded image](/media/?type=post&id=90294&key=user_uploads/78090/c7a09db6-f7f7-46a4-a347-5b52154e6fc1)\n\nChatGPT with o3, despite having full PDFs in context, failed after 11 minutes of reasoning. Now, imagine you have thousands of corporate documents that can’t be contained in a context. In contrast, Activeloop-L0 provided the correct answer in 4 minutes and can scale to a million documents.\n\n**What is Activeloop-L0?**\n\n**Activeloop-L0** is a compound AI system that ingests your unstructured data and returns grounded answers. Behind the scenes, [Deep Lake](https://github.com/activeloopai/deeplake) indexes neural representations at scale, then fuses “thinking tokens” with high-precision retrieval for fast multi-hop reasoning.\n\nIt is available on [**chat.activeloop.ai**](http://chat.activeloop.ai) now.\n\n![uploaded image](/media/?type=post&id=90294&key=user_uploads/78090/64161f83-f7ba-46eb-9445-5688f55506ab)\n\n**How is it different compared to a traditional RAG?**\n\n* **Multimodal:** Built-in support for images, PDFs, audio, and spreadsheets.\n* **Integrated Reasoning & Retrieval:** Eliminates the need for loops.\n* **Deep Indexing:** Cost-effective multi-layer indexing for richer context early on.\n* **Simple:** Focus on innovation, not maintaining infrastructure.\n* **Grounded and Accurate:** Clear citations for trustworthy insights.\n\n**How accurate is Activeloop-L0?**\n\nActiveloop-L0 achieves overall 85.6% state-of-the-art accuracy on 1,142 multimodal questions (292 PDFs, 5.5K pages). It outperforms text only RAG by +20%, visual RAG by +10%, and Alibaba’s ViDoRAG by +6% on their own ViDoSeek benchmark.\n\n![uploaded image](/media/?type=post&id=90294&key=user_uploads/78090/8275782e-ffde-4351-bdc8-0d1c40918169)\n\n**Is there an OpenAI-compliant API?**\n\nYes, Activeloop-L0 is available with an OpenAI-compliant API. You can easily plug into your agents for providing high relevant context. You can get started here. https://docs.activeloop.ai/setup/quickstart\n\n![uploaded image](/media/?type=post&id=90294&key=user_uploads/78090/996c0193-4dab-49eb-ab85-6e78828b19ec)\n\n**Ready to Deploy on Your Data?**\n\nActiveloop is trusted by F500 including the likes of [**Bayer**](https://www.activeloop.ai/usecase/bayer/), [**Flagship Pioneering**](https://www.activeloop.ai/usecase/flagshippioneering/), [Matterport](https://www.activeloop.ai/usecase/matterport/) (W12 acquired by CoStar).\n\n* **Your Cloud**: Deploy on your cloud, ensuring data never leaves your infrastructure.\n* **Your Models**: Integrate your LLMs.\n* **Your Security**: SOC2 compliance, fine-grained access control, and SSO.\n\n[**Book a call**](https://www.activeloop.ai/contact/) to discuss enterprise deployment.",
        "url": "https://www.ycombinator.com/launches/NUM-activeloop-l0-state-of-the-art-rag-accuracy-on-your-data",
        "votes": 34,
        "created_at": "2025-05-12T16:26:50.543Z"
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        "full_name": "Alexandra Griffon",
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        "title": "BlueCargo reduces logistics late fees by tracking containers in port terminals | TechCrunch",
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    "id": 1970,
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    "all_locations": "Boston, MA, USA",
    "long_description": "Alpha Vantage provides enterprise-grade financial market data through a set of powerful and developer-friendly data APIs and spreadsheets. Whether you need traditional asset classes (e.g., stocks, ETFs, commodities), economic metrics, foreign exchange rates, cryptocurrencies, fundamental data or even technical indicators, Alpha Vantage is your one-stop shop for global market data delivered through REST APIs.",
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        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "Alpha Vantage began as a passion project started by the founders while they were attending grad school together. The idea was conceived through a shared interest in the stock markets and investing as well as a fundamental desire to make something that the founders themselves would want to use. Truthfully, the founders did not originally build Alpha Vantage with the intention of creating a business out of it, but the exponential user adoption and intensity of usage made the decision to start a business natural and obvious - as well as the best way for us to serve our users (and eventually paying customers)."
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      {
        "question": "How did you decide to apply to Y Combinator? What was your experience applying, going through the batch, and fundraising at demo day?",
        "answer": "A close friend and classmate in graduate school, Lee Lin, encouraged us to apply. Lee went through YC in S09 (incidentally, the same batch as Stripe!) and supported us throughout our entire YC journey by providing valuable feedback on our application, giving us practical advice on the interview, and even flying into California just to attend our Demo Day! The written application itself was very straightforward. YC makes it extremely easy with their online application. If you are working on a startup or even just an idea, you having absolutely nothing to lose by writing and submitting an application! I will admit that the interview (in-person at YC’s HQ in Mountain View, CA) was quite stressful. The nervous energy that permeated the air of the lobby and lounge area, mere steps away from the rooms in which interviews were taking place, was palpable. Naturally, the interview was the classic 10-min rapid fire format. I recall one of the first questions we were asked was quite pointed: “Many have tried to build what you two are doing and failed. How are you guys different?” Deep breathe. Do not get defensive. Answer the question succinctly and confidently. The 10 min were over before we knew it. It was stressful, but fair. Afterwards, we went to Castro street in downtown Mountain View to have dinner. In the middle of dinner, we received the call that would forever change our lives (“We would love to fund you guys!”). We immediately accepted YC’s offer of funding over the phone. We ended up having about a month from our acceptance into YC until the actual start of the batch. In the interim, there were some housekeeping items to attend to such as sending copies of our startup’s incorporation documents and other legal documents to YC’s Legal team and Finance team for review so we could receive YC’s investment! While still in the Bay Area, shortly after our interview, I remember attending a pre-batch kick-off event where Michael Seibel welcomed us to YC. I recall Michael said (paraphrasing), “So, technically the ‘batch’ has not started yet officially… but ‘YC itself’ has already started. So… I suggest you all get started! Like, right now! You can literally start booking office hours today! Start building and talking to your customers! We’ll see you this summer!”) Before long the summer came and the formal programming of the batch began. Things moved fast and we quickly settled into what would become a familiar rhythm: Write code. Talk to customers. Write more code. Talk to more customers. Write even more code. Talk to even more customers. Rinse and repeat. The weekly small group office hours and dinner events were highlights of each week that served to inspire and invigorate. The first dinner event featured the co-founder of Airbnb as a guest speaker, and subsequent dinner guests included Garry Tan (now president of YC!), Brian Armstrong (Coinbase), and even a special guest appearance from the legends themselves - Paul Graham and Jessica Livingston! Demo Day and fundraising were the culmination of our three months of hard work during the batch. The event would be split over two days and held at the venerable Computer History Museum in Mountain View, CA. Sadly, our batch (S18) would be the last batch to be hosted by the museum for Demo Day (due to the larger sizes of subsequent batches). Much like the lobby and lounge of YC’s HQ on interview day, the nervous energy in the backstage green room of the Computer History Museum auditorium was palpable with people pacing back and forth, meditating, or silently rehearsing their pitch one last time. Before long, it was our turn, and the Batch Director fitted the one of us who would be speaking (Olivier) with a microphone and sent us out on stage. The pitch exceeded our own expectations and was delivered with gravitas, poise, and even a touch of humor. The successful pitch was all thanks to the generous time and support of many partners, most notably our group partners Aaron Harris, Adora Cheung, and Yuri Sagalov, but also other partners including Dalton Caldwell. As soon as we finished our pitch, the “likes” from investors came flooding in through the Demo Day software. Fundraising is usually a tough slog and one has to usually deal with many rejections for every “yes” that they receive. The whole process can take several months to upwards of an entire year. We were very fortunate to be in the top-third of our batch in terms of ease of fundraising, with far more “yes” than “no” responses and we were ultimately able to wrap up our fundraising in less than a week. I will note that success in fundraising at Demo Day is not necessarily predictive of future success as a company - so do not get lulled into a false sense of security just because fundraising comes relatively easier to you at Demo Day. There is a quite a vast distance between the moment that one decides to start a company and the moment that one actually sees it get off the ground. Unfortunately, the reality of startup life is that the journey across this distance (and beyond) can often be emotionally brutal; rife with feelings of intense loneliness which have to be balanced against a massive faith in what you are doing – a faith that is hard to sustain alone. We can truly think of no other partner we would want more than YC in embarking on such a journey. Special thanks to our group partners Aaron Harris, Adora Cheung, and Yuri Sagalov. They did NOT read drafts of this write-up, but we can unequivocally say that we would not have made it this far if it were not for their support and wise counsel."
      },
      {
        "question": "How have you kept in touch with the YC community and continued to use YC resources & programs since the batch ended?",
        "answer": "After our YC batch formally concluded in Sep 2018, we have kept in touch with the YC community through YC’s internal social network Bookface (think of it as a combination of LinkedIn, Quora, and Wikipedia). > Olivier: “I check Bookface at least once a day and it has been an invaluable source of knowledge, tips & tricks, and sometimes much needed humor/relief from the occasional ennui that comes with the territory of being a founder.”Alumni Demo Days (a dress rehearsal / practice-run of Demo Day in which the audience is made up of YC alumni / affiliates instead of professional investors) are also another excellent way for alumni to remained connected with the YC community. > Olivier: “I have attended every single Alumni Demo Day since becoming an alum. For the W19 and S19 batches, I was fortunate to attend in-person in San Francisco. These were very fun, well organized events and doubled as a kind of ‘YC mini-reunion’ of sorts - I miss them greatly. All subsequent batches (W20, S20, W21, S21, W22, S22) I have attended were done remotely through Zoom. Remote Demo Days have also been well organized (and with great music!), but naturally, they cannot compete with the experience of being in-person!”"
      },
      {
        "question": "What's the history of your company from getting started until the present day? What were the big inflection points?",
        "answer": "Alpha Vantage began as a passion project created over winter break while the co-founders were in grad school together. Our first major inflection point came less than two months after Alpha Vantage went live, when a large incumbent/competitor called Yahoo Finance abruptly pulled the plug on their market data API, resulting in a massive influx of self-proclaimed “Yahoo Finance shipwreck survivors” (users who were previously using the Yahoo Finance market data API) coming to Alpha Vantage. Seemingly overnight the number of our active users and the number of API queries processed jumped by over 10x. We have never looked back since."
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        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "High quality financial market information (e.g. stock price data of publicly traded companies) has traditionally been available only to large organizations/institutions and generally inaccessible (or very high friction to access) for individual end users. Companies such as Bloomberg and Thomson Reuters have created multi-billion dollar businesses catering to these large organizations/institutions and a specific type of user: the Wall Street trader. Traders in the modern day; however, are different. Traders today more closely resemble software developers who would prefer to access data via API as opposed to a closed-system such as a Bloomberg terminal (an expensive piece of financial hardware that one would find in virtually every financial institution). We know this for a fact because the exponential adoption and the intensity of usage of our APIs from the earliest days of our company all the way to the present have proven this time and time again."
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        "title": "The Best MCP Servers for Stock Market Data in 2026 | API.market",
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        "body": "[Launch video](https://youtu.be/YIvQ-lQGQCw?si=w3PRVeTR8UKof41J)\\\n\\\nPIE (Prodigal Intelligence Engine) is the data integration and intelligence layer that powers our specialized AI agents for consumer finance.\n\n## The Problem We're Solving\n\nAgentic AI for consumer finance is a core part of our offering. We built AI solutions for the industry long before the AI boom, gaining a deep understanding of its regulations and company-specific challenges. With the rapid evolution of GenAI, we’ve focused on building AI agents tailored for this space.\n\nWe realized that for any vertical AI agent to succeed, companies need a foundational platform that unifies data silos, structures varied data formats, and enables real-time inferencing. That’s why we built PIE.\n\nA specialized platform like PIE is crucial for AI agents in consumer finance because they must:\n\n* Understand business logic across systems, products, customer interactions, and company policies\n* Execute actions based on insights derived from unified data\n* Navigate complex federal, state, and company-specific compliance requirements\n\nConsumer finance lenders and collections companies operate with fragmented tech stacks - CRMs, Lending Management Systems, payment processors, dialers, email and SMS softwares. This results in siloed data, leading to lost insights and limited automation capabilities. Without unified data, AI agents remain one-dimensional and fail to reach their full potential.\n\n## What PIE Does\n\nAt its core, PIE is a robust data integration and intelligence platform that:\n\n* Connects to all of a company’s existing systems\n* Normalizes and structures disparate data formats into a unified schema\n* Enriches internal data with relevant external sources\n* Maintains real-time synchronization across all systems\n* Generates inferences and insights that are directly usable by applications and AI agents\n* Provides a standardized intelligence layer for AI applications\n\n## Why This Matters\n\nThis unified data foundation enables our AI agents (ProAgent, ScoreGenie, and more) to access complete context for every customer interaction. With PIE, an AI agent handling a collections call can simultaneously understand:\n\n* Account delinquency history\n* Previous payment patterns\n* Cross-channel interaction records\n* Demographic information\n* Communication preferences\n* Regulatory requirements\n* Propensity to pay scoring\n* Affinity for settlements, offers, and discounts\n* Channel affinity\n\nThe result: Consumer finance AI agents built on PIE have full situational awareness, enabling personalized interactions that drive results and seamlessly automate complex workflows across systems. \n\n## How It Works\n\nWe've built PIE as a modular system with:\n\n* Flexible connectors for all major systems in collections and consumer finance, leveraging our deep industry expertise to build scalable integrations quickly\n* A scalable data processing pipeline handling millions of records\n* A secure multi-tenant architecture with strict data isolation\n* Real-time bidirectional sync to maintain system integrity\n* Custom inference models for consumer finance and collections-specific insights\n\nPIE connects to all customer systems, standardizes incoming data, analyzes millions of records, and generates actionable insights that help collections specialisits and AI agents to implement novel strategies and maximize payments.\n\n![uploaded image](/media/?type=post&id=88664&key=user_uploads/78759/f6ef8576-fbe7-4519-9108-5b22beac3b64)\n\n",
        "url": "https://www.ycombinator.com/launches/N44-pie-prodigal-intelligence-engine",
        "votes": 6,
        "created_at": "2025-03-16T20:21:51.960Z"
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    "city": "New York City",
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        "linkedin_url": "https://www.linkedin.com/in/nikhilmat",
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      {
        "user_id": 220306,
        "full_name": "Jaleh Rezaei",
        "title": "Founder",
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        "is_active": true,
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      {
        "id": 86219,
        "title": "Senior Software Engineer (AI Products)",
        "url": "https://www.ycombinator.com/companies/mutiny/jobs/5bChWtF-senior-software-engineer-ai-products",
        "location": "New York, NY, US",
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        "role_type": "Full stack",
        "salary_range": "$180K - $250K",
        "equity_range": "0.10% - 0.30%",
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        "visa": "Will sponsor",
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        "url": "https://www.adweek.com/brand-marketing/b2b-ai-mutiny-cmo-ceo/",
        "date": "Apr 19, 2023"
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        "title": "43 Startups You Can Bet Your Career on in 2023 - Business Insider",
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        "id": 103964,
        "title": "Mutiny: Your AI agent to take your accounts from cold to closed",
        "tagline": "Your AI agent to take your accounts from cold to closed",
        "body": "**TL;DR:** Mutiny is your AI agent for taking accounts from cold to closed.\n\nRippling, Snowflake, and Uber are among 3,000 companies using Mutiny to automate their day to day and create beautiful customer-facing experiences that win more deals.\n\n<https://youtu.be/hRISyK2SSt4>\n\n## The problem: Generic AI like Claude are not built for GTM\n\nGeneral purpose agents are not optimized for GTM.\n\n* **Require GTM engineers.** You build everything yourself. Takes weeks of setup and GTM engineers to deliver quality.\n* **Inconsistent output.** Output such as assets is only as good as the rep's prompting. Near impossible to generate high quality output consistently.\n* **Designed for solo work.** Chat and projects are optimized for individual work. Requires Github repos for sharing skills across the team.\n\n## The solution: one agent to take accounts from cold to closed\n\nIn April, we shipped the industry’s leading AI experience builder, letting founders and reps create on-brand, personalized decks, deal rooms, landing pages, and more. 9 out of 10 reps told us it gave them an edge in competitive deals.\n\n**Today, we're launching the automation and collaboration layer around all of it. One agent that takes an account from cold to closed.**\n\nMutiny can now:\n\n1. **Access all your data and tools to automate workflows.** Mutiny connects to your email, calendar, CRM, call recordings, Slack, and 50+ other tools to extract context it needs and then do the work on your behalf.\n2. **Create buying experiences and track engagement.** Mutiny stores your brand and marketing content, builds assets for every deal, and shows you exactly how buyers engage.\n3. **Works out of the box for any rep, not just the AI experts.** We pre-built the highest-leverage skills and routines for reps and marketers, so everyone gets expert output on day one.\n\n![uploaded image](/media/?type=post&id=103964&key=user_uploads/220306/be9b21e6-7623-4201-9800-49e87ed1fe28)\n\nIn practice, this means Mutiny helps you:\n\n* Create deal rooms and update CRM records after every prospect call\n* Draft meeting prep and personalized decks ready for tomorrow's call\n* Map buying committees, with a personalized market report for each persona in their inbox\n* Surface top ABM accounts, with personalized sites and sequences ready to send\n\nOne person with Mutiny can now run the motion that used to take a full team.\n\n## The best GTM teams already run on it\n\nRippling, Snowflake, Uber, and GitLab are among the 3,000 companies using Mutiny to win deals.\n\n> We've always invested heavily in personalized content for our enterprise accounts, but we can't do that for every deal. Mutiny lets our commercial reps create that same caliber of content on their own. Our sales team was genuinely shocked at the quality. Turning call transcripts into something slick and deal-ready is a huge unlock for our reps.”\n>\n> \\- Hillary Carpio, VP of Marketing, Snowflake\n\n> It's been game-changing to give our sellers Mutiny's design capabilities. Right off the bat, it's reducing dependency on marketing and expediting time to publish significantly.”\n>\n> \\- Gabriel Ginorio, Senior Growth Manager, Rippling\n\n> I was blown away by the new Mutiny agent. I can create personalized content for my deals in minutes without waiting on anyone. It's a game changer for sellers.”\n>\n> \\- Celeste Cote, Account Executive, Vanta\n\n## Differentiation: Ship quality work on day one, with fewer tools\n\n1. **Great at the work customers see.** Most tools only shuffle data behind the scenes. Mutiny creates the assets that move the deal, and automates the work around them.\n2. **Pre-loaded with GTM playbooks.** Get to quality output really quickly without being a GTM or AI expert.\n3. **Full visibility.** Most of the buying process happens behind closed doors. Mutiny shows who opened your assets and what they read, so you can sell even when you're not in the room and engage new stakeholders with context.\n4. **Run by anyone on the team.** AEs, BDRs, marketers, and CSMs use Mutiny in self-serve mode, not through a marketing or design queue. That changes the volume economics of personalization.\n5. **One agent, not a stack.** Mutiny consolidates ABM, sales enablement, and AI sales agents into a single agent built to help reps and the marketers who support them.\n\n## Get started today for free\n\nSign up for free at [MutinyHQ.com](http://MutinyHQ.com). Plans are Free, Business, and Enterprise.\n\nComment \"Mutiny\" on our [X](https://x.com/jalehr/status/2070160245863899264?s=20) or [LinkedIn](https://www.linkedin.com/posts/jalehr_our-launch-today-blows-up-the-entire-gtm-ugcPost-7475925252183703552-rWe_/) post and we'll triple your credits for free.\n\nEmail us: [jaleh@mutinyhq.com](mailto:jaleh@mutinyhq.com), [nikhil@mutinyhq.com](mailto:nikhil@mutinyhq.com)\n\nIf you know AEs, sales leaders, or marketing leaders at fast-moving B2B companies, we'd love an intro.\n\n![uploaded image](/media/?type=post&id=103964&key=user_uploads/220306/8f22d528-bb55-4c6a-b4e1-001c780bc3b3)\n\n",
        "url": "https://www.ycombinator.com/launches/R2q-mutiny-your-ai-agent-to-take-your-accounts-from-cold-to-closed",
        "votes": 6,
        "created_at": "2026-06-25T16:18:20.467Z"
      },
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        "id": 99529,
        "title": "Mutiny: Your AI Agent for Creating Anything Customer-Facing (used by Uber & Rippling)",
        "tagline": "An agent purpose-built for sales and marketing to create beautiful, on-brand assets in minutes, and track engagement. ",
        "body": "**TL;DR:** Mutiny is the first AI agent for sales and marketing to create polished, on-brand assets that close deals.\n\n**Figma, Rippling and Uber** already use our agent to create ABM campaigns and move deals forward with tailored business cases, deal rooms, case studies and more.\n\n**Comment “Mutiny” on our [LinkedIn](https://www.linkedin.com/posts/jalehr_we-raised-72m-from-sequoiayc-and-hit-8-activity-7447310976070283264-1NRa?utm_source=share&utm_medium=member_desktop&rcm=ACoAACKHswAB8YARQchGlnITcnK7Y_raTYmZGAE) or [X post](https://x.com/jalehr/status/2041546131709292586?s=20) & we’ll triple your AI credits for free.**\n\nLaunch video: <https://youtu.be/_OfqWVrQj3s>\n\n**The Problem: Dependencies are the #1 killer of revenue.**\n\nA decade of leading GTM teams taught me that dependencies are the biggest blocker to growth. Too many great ideas die waiting for resources: design, content, ops. We started Mutiny to let sellers and marketers move at the speed of their ideas, building experiences that wow buyers and close deals.\n\nMutiny 1.0 started as a big success: $72M from tier 1 investors like Sequoia/YC, 8-figures in ARR, and beloved by the best GTM teams in the world. But it was built on a SaaS foundation, which puts the execution onus on humans. No matter how much we injected AI, we couldn’t unlock the real power of automation.\n\nSo we killed the SaaS product and rebuilt the whole thing from scratch, this time agent-first and with even bigger ambitions.\n\n**The solution: Meet the new Mutiny.**\n\nMutiny is the first AI agent that gives GTM teams full autonomy to create whatever they need to hit their goals, on brand and personalized.\n\nYou can overcome every challenge when prospecting and closing deals:\n\n* A tailored prospecting page for a senior exec at your target account.\n* A polished business case that sells for you when you're not in the room.\n* A curated customer story that creates urgency.\n* A competitor comparison that takes your rival off the table.\n* A deal room your champion is proud to share, .\n\nOne person with Mutiny can do more in an afternoon than a team in a month.\n\n**The best GTM teams love the new Mutiny already.**\n\n30,000+ assets published. Users from Rippling, Snowflake & startups say:\n\n* Speed: 4.5X faster to create assets\n* Quality: 100% said it meets or exceeds their design bar\n* Impact: 4 out of 5 reps are more likely to hit quota with Mutiny\n* Edge: 89% say it gives them an edge in competitive deals\n\n**Differentiation: Quality is what sets Mutiny apart. It’s 100% on brand.**\n\n1. **On-brand, every time.** Mutiny extracts your colors, fonts and visual style from your website to set the guardrails, so every asset looks and sounds like you.\n2. **Personalized, automatically.** Mutiny researches your prospect and pulls in your CRM data and call transcripts, so every asset is instantly tailored to the account. Their challenges, relevant metrics, case studies, industry messaging and logo are all personalized.\n3. **Full visibility.** Most of the buying process happens behind closed doors. Your champion is forwarding decks & pitching you in meetings. Mutiny shows who opened your assets & what they read, so you can sell even when you're not in the room & engage new stakeholders w/ context.\n4. **Proven GTM best practices.** Our agent has analyzed top-performing GTM assets and frameworks and built templates for every deal stage. The agent applies your brand and context so you get a polished asset in minutes.\n\n**Sign up for free:** [MutinyHQ.com](http://MutinyHQ.com)\n\n**Comment “Mutiny” on our X or LinkedIn post & we’ll triple your credits for free.**\n\nEmail us: [jaleh@mutinyhq.com](mailto:jaleh@mutinyhq.com), [nikhil@mutinyhq.com](mailto:nikhil@mutinyhq.com)\n\nIf you know AEs, sales leaders, or marketing leaders at fast-moving B2B companies, we'd love an intro.",
        "url": "https://www.ycombinator.com/launches/PtJ-mutiny-your-ai-agent-for-creating-anything-customer-facing-used-by-uber-rippling",
        "votes": 18,
        "created_at": "2026-04-15T15:33:43.131Z"
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    "website": "https://www.leena.ai",
    "all_locations": "New York City, NY, USA; New Delhi, DL, India",
    "long_description": "HR/IT/Finance professionals spend 50% of their time answering employees' questions and tickets. It’s even worse on the employee side, they have to wait for a long time for simple answers.\r\n\r\nWe are live with 500 customers like Coca-Cola, Sony, Puma, Vodafone, Nestle, P&G, Airbnb, etc. We have raised over $40M from top VCs like Bessemer, Greycroft, Elad Gil, etc.\r\n\r\nLeena AI consumes company’s enterprise knowledge & starts answering all employee questions just like a human would. It can even answer complex personalized questions like Why is my salary less this month?\r\n\r\nEmployees can access Leena AI from commonly used UIs like MS Teams or Slack.",
    "one_liner": "We at Leena AI build a virtual assistant that answers employee's…",
    "team_size": 500,
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    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2018/leena-ai.json",
    "year_founded": null,
    "city": "New York City",
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    "linkedin_url": "https://www.linkedin.com/company/l-e-e-n-a/",
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      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
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        "user_id": 134818,
        "full_name": "Mayank Goyal",
        "title": "Founder",
        "founder_bio": null,
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/mayankzuppit",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/539387785047fd5d5c280fdba5391d0499bf96e8.jpg"
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      {
        "user_id": 170359,
        "full_name": "Adit Jain",
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        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/adit-jain-75713b5a",
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        "user_id": 171226,
        "full_name": "Anand Kumar Prajapati",
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        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/akprats",
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        "title": "Sales Manager",
        "url": "https://www.ycombinator.com/companies/leena-ai/jobs/9h67pWNCQ-sales-manager",
        "location": "New York, San Francisco / Remote (US)",
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        "title": "leena ai: With tech, Leena AI tries to test the limits of human resource management - The Economic Times",
        "url": "https://economictimes.indiatimes.com/small-biz/entrepreneurship/with-tech-leena-ai-tries-to-test-the-limits-of-human-resource-management/articleshow/94672764.cms",
        "date": "Oct 06, 2022"
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        "title": "HRTech Leena AI Raises $30 Mn From Bessemer, B Capital",
        "url": "https://inc42.com/buzz/hrtech-leena-ai-raises-30-mn-from-bessemer-b-capital-to-expand-siri-for-employees-application/",
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    "name": "JuziBot",
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    "all_locations": "Beijing, Beijing, China",
    "long_description": "JuziBot is a startup that provides smart marketing and sales services for customers on WeChat platform, the company helps SMBs build secure and stable key opinion customer (KOC) channels, as well as helps corporate clients with customer acquisition and sales conversion. JuziBot currently serves customers in education, insurance, healthcare, and a few other industries, some of the clients include Meituan Dianping, Digital China, Zuoyebang, etc., and 80% of these existing customers have been acquired through word of mouth. JuziBot's products have been known to improve the sales experience for one million sales professionals on a daily basis. \r\n\r\nThe company is invested by a number of leading VCs including PreAngel, Plug and Play, Y Combinator, TSVC, and Alpha Startups. JuziBot received the CCFA Retail Technology Rising Enterprise Award in 2018. In 2018 and 2019, respectively, the company won the 1st place in both of the task-based human-machine dialogue response naturalness, and the chat-type human-machine dialogue assessment in the SMP Chinese Human-Machine Dialogue Technology Evaluation held by the Chinese Information Processing Society of China (CIPSC).",
    "one_liner": "Intercom for WeChat, help companies to acquire,  engage, retain…",
    "team_size": 34,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1527048483,
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      "Customer Support"
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    "batch": "Winter 2019",
    "status": "Active",
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    "regions": [
      "China",
      "East Asia",
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      "Partly Remote"
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    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/juzibot",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2019/juzibot.json",
    "year_founded": 2019,
    "city": "Beijing",
    "country": "CN",
    "linkedin_url": "https://www.linkedin.com/company/14510851/",
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    "cb_url": null,
    "github_url": "https://github.com/juzibot",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f06ad45b7f49712e329e6cfd50db0616164f6ce0.png",
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    "founders": [
      {
        "user_id": 254638,
        "full_name": "Yuan Gao",
        "title": "Founder",
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    "name": "Intelline",
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    "website": "https://www.intelline.ca/",
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    "long_description": "Intelline makes fuel agnostic engines for practical, clean, and low-cost industrial power. Our first customers are in data center energy infrastructure and oil & gas production. Our engine generate electricity with even the most difficult fuels like flare gas, while reducing fuel OPEX by 40%.\r\n\r\nThere are 1,000,000 new heavy duty engines produced per year, and at an average $50k per heavy duty engine this is a $50B market opportunity.\r\n\r\nOur generator can efficiently run emerging fuel types that traditional diesel engines can't use (flare gas, syngas, ammonia, hydrogen), and can switch between fossil fuels and any other liquid/gaseous fuel while running. Full size running prototype successfully tested April 2025.",
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        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "Chris and I (Kyle) have known each-other since elementary school. In high school we built an electric car together with a small team of students, and we both went on to study at the University of Waterloo. Chris went into math & accounting, I went into mechanical engineering. \r\n\r\nThe first spark of an idea came in 2017, with EV adoption on the rise. I’ve always been fascinated by all things complicated, difficult, and physical, and naturally was drawn to the energy and automotive space. There is beauty in the things that power our world in the background, unnoticed, unglamorous, but essential. I was drawn to the problem not so much in the spotlight, aging and ever strained grid infrastructure. The constant need for more efficient hardware with practical implementation. Through a rabbit hole of research I was fascinated with the potential of superconducting technologies, saw the barrier in the high cost of cryocooling, and had an idea for more cost effective cryocoolers. I went to my trusted friend Chris with the idea, and Intelline was born. People ask about the name, its a word we made up from latin, ‘intelligent in nature’.\r\n\r\nFast forward to 2019, we had a lovely multi-layered pulse tube cryocooler prototype designed and fabricated from scratch, along with our own linear helium compressor to power it. Unfortunately there wasn’t a huge market for it and we would have to move mountains as a tiny startup to bring together all the stakeholders for any meaningfully sized superconductor project. Over the holidays at the end of that year, we came across an article on diesel generators, highlighting their terrible inefficiency, yet they remain the only effective option for heavy duty industrial power. We were sitting beside our compressor prototype and that was the lightbulb - “Hey, this compressor design would make a really great engine”. I was always a huge car nerd, and have been sketching designs for engines and car parts since high-school, so the prospect of contributing a game-changing engine to the world was very exciting. We modified the compressor design with piston-mounted valves and added on the necessary combustion hardware, filed the patents, quickly machined a small cross-sectioned prototype, and carted it off to a mining equipment conference in Toronto where it was an instant hit. Customers were so excited even at that stage, and it was clear to us we were building something that customers have been begging for with no one answering the call. Today, we have a real running prototype of our groundbreaking engine design, and are preparing for first customer deliveries at a time when this technology is critical for growing power demand. We’ve come a long way, it’s difficult and painful, but since day 1 I’ve had the same fascination with unnoticed, unglamorous, essential hardware, and I’m eternally grateful to have the chance to contribute to that world of important energy hardware.\r\n\r\nI don’t think I ever decided to be a founder. My path is more driven by a need to do something, and a company is just the vehicle to bring vision into reality. "
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    "long_description": "Kalshi (www.kalshi.com) is the first federally regulated exchange where you can trade on the outcome of events.  We built Kalshi because we believe that people should be able to capitalize on what they know and have opinions on. We make this possible by expanding what people can trade on and allowing them trade in the domain of everyday knowledge. \r\n\r\nKalshi is developing a new asset class, “event contracts,” and a financial exchange for trading on the outcome of events: we are federally regulated by the CFTC as the first-ever legal futures exchange in the U.S. for trading on a broad category of events.",
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        "full_name": "Tarek Mansour",
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        "salary_range": "$148K - $250K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Ruby on Rails"
        ]
      },
      {
        "id": 88917,
        "title": " Account Manager, Enterprise Banking",
        "url": "https://www.ycombinator.com/companies/middesk/jobs/0Zx8Cau-account-manager-enterprise-banking",
        "location": "New York",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$200K - $220K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 88920,
        "title": "Account Manager, Mid-Market",
        "url": "https://www.ycombinator.com/companies/middesk/jobs/ofC93uF-account-manager-mid-market",
        "location": "New York",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$135K - $180K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 88921,
        "title": "Software Engineer, Infrastructure ",
        "url": "https://www.ycombinator.com/companies/middesk/jobs/SfxFAIW-software-engineer-infrastructure",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$148K - $230K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 88922,
        "title": "Account Executive ",
        "url": "https://www.ycombinator.com/companies/middesk/jobs/dH7gMLF-account-executive",
        "location": "New York",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$200K - $340K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 88923,
        "title": "Partner Manager",
        "url": "https://www.ycombinator.com/companies/middesk/jobs/H3TEsXy-partner-manager",
        "location": "San Francisco / New York, NY, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$170K - $230K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 88927,
        "title": "Solutions Architect",
        "url": "https://www.ycombinator.com/companies/middesk/jobs/0xQklf6-solutions-architect",
        "location": "New York",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$145K - $200K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 88930,
        "title": "Enterprise Account Executive ",
        "url": "https://www.ycombinator.com/companies/middesk/jobs/lbYj41J-enterprise-account-executive",
        "location": "New York",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$200K - $340K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 88937,
        "title": "Enterprise Account Executive ",
        "url": "https://www.ycombinator.com/companies/middesk/jobs/KoVL7IY-enterprise-account-executive",
        "location": "New York, NY, US / San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$300 - $330",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 116208,
        "title": "Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/middesk/jobs/YbgL2zq-forward-deployed-engineer",
        "location": "San Francisco, CA, US / New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$148K - $255K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 116211,
        "title": "Data Scientist ",
        "url": "https://www.ycombinator.com/companies/middesk/jobs/pjpHqfM-data-scientist",
        "location": "San Francisco, CA, US / New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Data science",
        "salary_range": "$175K - $210K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Python",
          "SQL"
        ]
      },
      {
        "id": 116212,
        "title": "Lead Data Scientist",
        "url": "https://www.ycombinator.com/companies/middesk/jobs/tsM4BKa-lead-data-scientist",
        "location": "San Francisco, CA, US / New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Data science",
        "salary_range": "$210K - $250K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Python",
          "SQL"
        ]
      }
    ],
    "news": [
      {
        "title": "Announcing our $57M Series B",
        "url": "https://www.middesk.com/blog/announcing-our-57m-series-b",
        "date": "Jun 09, 2022"
      }
    ],
    "launches": []
  },
  {
    "id": 11984,
    "name": "GoLinks",
    "slug": "golinks",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/afc06ceb5b91f55a715f39051c3426043e5094c8.png",
    "website": "https://www.golinks.io",
    "all_locations": "San Francisco, CA, USA; San Jose, CA, USA; Remote",
    "long_description": "GoLinks allows you to create internal links for your company that are so easy to remember and share, you don't have to bookmark or copy and paste them in emails. For example, teams use GoLinks to keep track of their dashboard at go/metrics or an employee directory at go/directory - powered by AI. These internal link systems have been a standard for productivity boost within companies like Google, Yahoo, Linkedin, Twitter, and Airbnb for years. GoLinks is the first company building this as a service for everyone else. 75% of all employees at all of our customers use GoLinks every single month.\r\n\r\n\r\n\r\nIn 2023, GoLinks, launched two new productivity solutions to build off of their vision of building a Gen AI productivity suite:\r\n\r\n\r\n- GoSearch (www.gosearch.ai):  An enterprise workplace search solution powered by AI.\r\n\r\n\r\n- GoProfiles (www.goprofiles.io): A hub for your team to find shared connections, celebrate wins, and boost company culture — powered by gen AI!",
    "one_liner": "Intuitive, easy-to-remember short links - powered by AI.",
    "team_size": 70,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1541192582,
    "tags": [
      "SaaS",
      "Productivity",
      "Collaboration"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2019",
    "status": "Active",
    "industries": [
      "B2B",
      "Productivity"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Fully Remote"
    ],
    "stage": "Growth",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/golinks",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2019/golinks.json",
    "year_founded": null,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/golinks",
    "x_url": "https://twitter.com/golinks",
    "fb_url": "https://www.facebook.com/golinksio/",
    "cb_url": "https://www.crunchbase.com/organization/golinks",
    "github_url": "https://github.com/GoLinks",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/afc06ceb5b91f55a715f39051c3426043e5094c8.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
    },
    "founders": [
      {
        "user_id": 213767,
        "full_name": "Jorge Zamora",
        "title": "Founder",
        "founder_bio": "",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/mrjorgezamora",
        "x_url": "https://www.twitter.com/mrjorgezamora",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8e783d8b0e4cb2b83905c23b0b266d640994b121.jpg"
      }
    ],
    "jobs": [
      {
        "id": 68558,
        "title": "Sr. Sales Development Representative",
        "url": "https://www.ycombinator.com/companies/golinks/jobs/1Tgtfmi-sr-sales-development-representative",
        "location": "San Jose, CA, US / Remote (US)",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$55K",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 77764,
        "title": "Sales Development Representative (Remote)",
        "url": "https://www.ycombinator.com/companies/golinks/jobs/5q6sRn1-sales-development-representative-remote",
        "location": "US / Remote (US)",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$45K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 94751,
        "title": "Account Executive, Mid-Market (Remote)",
        "url": "https://www.ycombinator.com/companies/golinks/jobs/Jfya0Rm-account-executive-mid-market-remote",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 94752,
        "title": "Sr. Sales Development Representative (Remote)",
        "url": "https://www.ycombinator.com/companies/golinks/jobs/iuE20vT-sr-sales-development-representative-remote",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 94753,
        "title": "Sales Development Representative (Hybrid)",
        "url": "https://www.ycombinator.com/companies/golinks/jobs/Bzikyvg-sales-development-representative-hybrid",
        "location": "San Jose, CA - HQ / Remote (US)",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 94754,
        "title": "Account Executive, Mid-Market (Hybrid)",
        "url": "https://www.ycombinator.com/companies/golinks/jobs/8k6Zvj9-account-executive-mid-market-hybrid",
        "location": "San Jose, CA - HQ / Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "GoLinks unveils GoSearch, an AI-powered search tool for the modern enterprise | VentureBeat",
        "url": "https://venturebeat.com/ai/golinks-unveils-gosearch-an-ai-powered-search-tool-for-the-modern-enterprise/",
        "date": "Dec 13, 2023"
      },
      {
        "title": "GoLinks raises $27 Million Series A funding    ",
        "url": "https://www.golinks.com/blog/golinks-raises-series-a/",
        "date": "Feb 01, 2022"
      }
    ],
    "launches": [
      {
        "id": 93717,
        "title": "GoSearch Free: Personal Enterprise Search & AI Agents",
        "tagline": "First free-forever agentic enterprise search solution for personal apps.",
        "body": "### **TLDR**\n\nGoSearch is agentic enterprise search that unifies knowledge across 100+ apps, lets you choose between federated or indexed search, and powers no-code AI agents that take action.\n\nToday, we’re launching **GoSearch Free**, a free-forever plan for individuals to try semantic search, GoAI assistant, and custom agents.\n\n### **❌ The Problem**\n\nAI and enterprise search tools are exploding right now, but IT leaders are cautious.\n\n* Most tools take risky approaches to data management\n* Apps are increasingly locking down API access\n* Centralized indexing struggles to keep up with modern enterprise needs\n\n### **✅ The Solution: GoSearch**\n\nGoSearch connects to your tools, understands context and roles, and takes action. Unlike most, it supports both **federated search** and **traditional indexing** for flexible data management.\n\nWhat you can do:\n\n* Semantic search across 100+ apps (Slack, Jira, Drive, etc.)\n* Hybrid flexibility with full indexing controls + federated search\n* Agentic AI that summarizes docs, extracts data, and answers questions\n* No-code custom agents to automate workflows (file tickets, send invites, etc.)\n\n### **👀 What’s New: GoSearch Free**\n\nFree-forever, personal tier with:\n\n* Full semantic search across Gmail, Drive, Slack, and more\n* GoAI assistant for summarization, Q&A, and data extraction\n\n  ![uploaded image](/media/?type=post&id=93717&key=user_uploads/213767/74b0aefb-f1e3-4747-bb99-dcf266f6a7ef)\n\n* Custom, no-code agents for recurring tasks\n* Easy scaling to Pro/Enterprise as your team grows\n\n  ![uploaded image](/media/?type=post&id=93717&key=user_uploads/213767/631b0f30-be42-45bb-80cc-ea9552509b27)\n\n\n### **🔗 Links**\n\n👉[ Sign up free here](https://gosearch.ai)\n\n🗞️ [Read the press release](https://www.prweb.com/releases/gosearch-launches-free-forever-personal-enterprise-search-and-ai-agent-platform-302547859.html)\n\n### **🙏 Our Ask**\n\n* Try GoSearch Free and let us know what you think!\n* Found a bug or edge case? Tell us, we’re shipping fast.\n\nReach out at [**jorge@golinks.io**](mailto:jorge@golinks.io).",
        "url": "https://www.ycombinator.com/launches/ONZ-gosearch-free-personal-enterprise-search-ai-agents",
        "votes": 28,
        "created_at": "2025-09-09T15:51:46.747Z"
      },
      {
        "id": 80241,
        "title": "👥🤖 GoProfiles - GenAI people platform for distributed workforces",
        "tagline": "A hub for your team to find shared connections, celebrate wins, and boost company culture — powered by gen AI!",
        "body": "## **TLDR:**\n\n[GoProfiles](https://www.goprofiles.io) (from the makers of [GoLinks](https://www.golinks.io) and [GoSearch](https://www.gosearch.ai)) is an AI people platform built for employees everywhere—created for the new way of work. With GoProfiles, teams celebrate achievements, foster strong bonds, and gain the context needed to collaborate and connect. \n\nWe combined the best parts of employee directories and peer recognition to build a totally new kind of people platform. Increase employee productivity and collaboration through GoProfiles.\n\n## **🎬 Trailer**\n\n<https://www.youtube.com/watch?v=YhngNnFMnV8>\n\n## **❌ The Problem**\n\nRemote teams are increasingly disconnected, and it’s hurting company morale and productivity:\n\n* 52% of remote workers feel less connected to their peers\n* 68% of employees feel disengaged at work\n* This equates to $1.9 trillion in lost productivity due to burnout\n\n## **✅ The Solution**\n\nHappy, engaged employees are productive employees. \n\n[GoProfiles](https://www.goprofiles.io), from the makers of [GoLinks](https://www.golinks.io), is an AI people platform that increases employee engagement, collaboration, and productivity. With features that include:\n\n* AI people search to connect with like-minded folks (\"Who likes spring and lives in California\")\n* Peer recognition through Bravos, groups, and interests to connect on common interests\n* Interactive employee maps, rich employee profiles\n* Interactive org chart, job hierarchy, birthdays and anniversaries\n* And so much more.\n\n![](https://lh7-us.googleusercontent.com/jtWzZjT39J6C5SRh2gEPAAZRl8V-7JYiHEz8GIG7uFoK9rMVA5ahrkiT2FwaMIDJGafhBvuvfFqmlUJwxhUCMYOUlHT-oPUm66OfRA11ZawKa_P1Jos2rq8TgBO4giID_7Roa3t-1XPyZsteKvSCvVY)\n\n**Make people data personal — beyond names and titles**\\\nSpotlight employees with rich profiles that showcase their achievements, personalities, and history with your company.\n\n**Discover employee connections with AI**\\\nAI-powered search and chat make asking questions like, “Do we have employees in Colorado?” and “Who is the newest hire to join the Design team?” possible.\n\n<https://www.youtube.com/watch?v=og8yekr1WMA>\n\n**Cultivate a positive culture of peer appreciation**\\\nGive employees an easy way to recognize their peers with sociable Bravos that celebrate achievement.\n\n**Visualize your distributed team on a global map**\\\nUnderstand the geography of your remote colleagues — whether a couple of cities over or across the pond.\n\n**Get clarity into teams and reporting hierarchy**\\\nEmpower teammates to explore connections across your company with an org chart, directory, and employee map.\n\n**Auto-populate employee records from any HRIS**\\\nConnect one—or many—HRIS platforms to effortlessly integrate employee data and keep it current with automatic syncs.\n\n## **🙏Our Ask**\n\n* [Learn more](https://www.goprofiles.io) about GoProfiles.\n* Try GoProfiles for free. [Sign up now.](https://www.goprofiles.io/signup)\n\nIf you are interested in seeing GoProfiles in action, [let’s chat!](https://www.goprofiles.io/sales)\n\n![](https://lh7-us.googleusercontent.com/tpVE01GTseQL42Q8iQ1ljGUfg_3NyA4FhIAKZMAZJAvKuZJ4tAzzGZRITt8OJfKOxYdIVRdAUk3YQmmAmtaktJozrM6GqhXCztXwgi5GvH3-QGEhgRFjG-rVluVtIf9sPlAGVnOJM1aSvhthoobdaUA)\n\n",
        "url": "https://www.ycombinator.com/launches/KsD-goprofiles-genai-people-platform-for-distributed-workforces",
        "votes": 44,
        "created_at": "2024-04-17T15:30:22.661Z"
      },
      {
        "id": 76914,
        "title": "🔎🤖 GoSearch - GenAI Enterprise Search",
        "tagline": "Search across workplace apps with multimodal-AI enterprise search. ",
        "body": "## TLDR:\n\n[GoSearch](https://www.gosearch.ai/?utm_source=YC-Launch&utm_medium=referral&utm_campaign=gosearch-launch&utm_content=landing) is the first multimodal genAI enterprise search solution, leveraging GPT4-Turbo-Vision to deliver more precise and context-aware workplace search results across 100+ apps.   \n\n## 🎬 Trailer\n\n[See GoSearch in action.](https://www.youtube.com/watch?v=ALNmN0wO_zI) 👇\n\n## ❌ The Problem\n\n* Companies face information sprawl across an ever-growing stack of apps — 137 in the average org. \n* Teams lose valuable productivity time — 5 weeks per year — searching for the information they need to do their jobs.\n* When employees aren’t connected to the right resources and people, work is duplicated or slowed, outcomes are worsened, and burnout increases.\n\n \n\n## ✅ The Solution\n\n* Introducing [GoSearch](https://www.gosearch.ai/?utm_source=YC-Launch&utm_medium=referral&utm_campaign=gosearch-launch&utm_content=landing), a generative AI enterprise search platform from the makers of [GoLinks](https://www.golinks.io?utm_source=YC-Launch&utm_medium=referral&utm_campaign=gosearch-launch&utm_content=landing).\n* Whether the query is password reset, q4 roadmap, or a screenshot, GoSearch works like Google to surface resources from across apps and provide answers summarized by AI.\n\n \n\n#### **Unify knowledge**\n\nConnect 100+ personal and company SaaS apps into a single, unified search interface.\n\n#### **Avoid workflow interruptions**\n\nSearch directly from a new tab with announcements, recently used apps, and meetings.\n\n![uploaded image](/media/?type=post&id=76914&key=user_uploads/213767/93363b0d-b757-4d00-af9f-19715d471026)\n\n#### **Connect resources and people**\n\nAnswer people-specific queries with support for 40+ HRIS integrations.\n\n#### **Experience an AI assistant**\n\nChat with AI to surface insights and answers summarized from multiple sources.\n\n![uploaded image](/media/?type=post&id=76914&key=user_uploads/213767/af68f123-d8b2-4c9f-9b5d-391896efe14f)\n\n## 🙏 Our Ask\n\n* [Sign up for a demo](https://www.gosearch.ai/sales?utm_source=YC-launch&utm_medium=YC&utm_campaign=YC-post&utm_content=demo) today.\n* [Learn more](https://www.gosearch.ai/?utm_source=YC-Launch&utm_medium=referral&utm_campaign=gosearch-launch&utm_content=landing), and let’s chat!\n\n ",
        "url": "https://www.ycombinator.com/launches/K0Y-gosearch-genai-enterprise-search",
        "votes": 67,
        "created_at": "2023-12-14T16:12:41.810Z"
      }
    ]
  },
  {
    "id": 11991,
    "name": "Community Phone Company",
    "slug": "community-phone-company",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d3c595ee7c5413925a33801ac0a98d0dff17082b.png",
    "website": "https://www.communityphone.org/",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "Community Phone is building the peace-of-mind layer for aging in America. Our phone works out of the box with no setup required, our AI-powered check-in calls surface how seniors are really doing, and our family app replaces daily anxiety with genuine safety and connection. There are 55 million Americans over 65 living at home. We are building the product their families have needed for years. We are well into 8-figure ARR, pacing to 9 figures, backed by Y Combinator, YC Continuity, and SNR.vc.",
    "one_liner": "The phone that gives families peace of mind about aging parents",
    "team_size": 101,
    "industry": "Consumer",
    "subindustry": "Consumer -> Home and Personal",
    "launched_at": 1541192585,
    "tags": [
      "SaaS",
      "B2B",
      "Customer Support",
      "Telecommunications",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2019",
    "status": "Active",
    "industries": [
      "Consumer",
      "Home and Personal"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Fully Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/community-phone-company",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2019/community-phone-company.json",
    "year_founded": 2018,
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        "title": "Gordian Software Raises $25 Million for Airline Cross-Selling Tools",
        "url": "https://skift.com/blog/gordian-software-raises-25-million-for-airline-cross-selling-tools/",
        "date": "Jul 19, 2022"
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      {
        "title": "The Startup Turbocharging the Airline Upsell Game at Online Travel Agencies – Skift",
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        "date": "Jul 01, 2021"
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    "id": 12067,
    "name": "PNOĒ",
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    "long_description": "PNOĒ enables health professionals to provide science-backed bio-optimization through breath analysis. For 100+ years, breath analysis (AKA metabolic testing, VO2max) has been the gold standard in anti-aging quantification, nutrition prescription, and evaluation of most critical systems, including the heart, lungs, cells, and nervous system. Until recently, it was only available in sophisticated clinics and regarded as the most valuable but underutilized assessment in medicine. PNOĒ changed that through the first easy-to-use clinical-grade breath analysis device, proprietary software package, and dedicated metabolic expert support. Through a non-invasive 10 min breath test, PNOĒ analyzes the human breath and prescribes a personalized nutrition, exercise, breathwork, and bio-optimization (i.e., red light therapy, hyperbaric chamber, IV therapy, etc.) program based on one’s biological limitations. 3,000+ health professionals trust PNOĒ because it personalizes the clients’ journey through their clinics, builds retention by quantifying progress, and enables the upsell of personalized nutrition and breathwork. All this without any effort, time commitment, or upfront cost. PNOĒ has been independently validated by Georgetown University, VA in Maryland, and Rutgers University and is trusted by leading institutions including Cenegenics, Dais Cove, MIT, UCLA, Pan Pacific, CLMBR, UCS, OURA, TONAL, Spartan Racing, and Paris Saint Germain. ",
    "one_liner": "Enabling health professionals to prescribe clinical-grade wellness…",
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    "industry": "Healthcare",
    "subindustry": "Healthcare -> Healthcare Services",
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    "year_founded": 2016,
    "city": "Athens",
    "country": "GR",
    "linkedin_url": "https://www.linkedin.com/company/pnoe/mycompany/",
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      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
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        "full_name": "Apostolos Atsalakis",
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        "is_active": true,
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    "id": 12074,
    "name": "Caribou",
    "slug": "caribou",
    "former_names": [
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    "all_locations": "Lisbon, Lisbon, Portugal",
    "long_description": "Going global is now the norm. But the moment you set up an entity in another country, you inherit a tax and legal mess that compounds with every hire and every invoice. \r\n\r\nFor example, one jurisdiction has to be profitable, cash has to move between entities compliantly, and every cross-border decision has to be audit-ready, which today means a different law firm in each country, a tax advisor on top of that, and you coordinating the chaos.\r\n\r\nThe real expertise is locked up inside the Big Four. The world's largest companies pay millions a year for access. Everyone else gets selective coverage and hefty legal bills to half-solve the problem.\r\n\r\nCaribou is the first autonomous tax firm. No lengthy workshops, no months of back-and-fort; connect your finance and HR systems and we graph your business — every entity, process, and employee — into a model we call the Atlas. \r\n\r\nFrom there we check transfer pricing, surface legal risks you didn't know you had, maximise your R&D credits, and monitor for accidental taxes as your shape changes.\r\n\r\nAnd we don't just hand you a report. We speak to your accountants, draft the legal agreements, and implement the fix ourselves. We've turned an \r\neight-week engagement into three hours.\r\n\r\nWhy work with three firms when one does the job?\r\n\r\nWe're already working with fast-growing companies like Butternut Box, OpenFX, Encord, Vertice, Omnea, and Hadrian - we've saved them hundreds of thousands on legal fees and surprise tax bills.",
    "one_liner": "The autonomous tax firm",
    "team_size": 10,
    "industry": "B2B",
    "subindustry": "B2B -> Finance and Accounting",
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        "answer": "From international banking, to international taxes.\\\r\n\\\r\nCaribou was formerly rebank (W19). rebank was the first open banking product for global businesses. We integrated banks across Europe & the US, allowed you to send money globally, and monitor your financial metrics from one dashboard.\r\n\r\n\\\r\nBuilding rebank taught us that companies were going global earlier, and law/accounting firms couldn’t keep up with their cross-border needs. That insight led us to pivot to Caribou in 2024."
      },
      {
        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "The way startups scale has gone global. Even the smallest teams now operate across borders—with a Delaware C-Corp, a UK subsidiary, and contractors in three countries. But the tax system hasn’t kept up. Every multinational, no matter how small, is legally required to follow _transfer pricing_ rules—complex regulations designed for giants like Google and Apple.\r\n\r\nThat means founders suddenly have to deal with one of the most complicated areas of tax, law, and accounting: proving that the way their entities share profits, people, and IP is fair and compliant. Getting it wrong can cost them everything—from lost R&D credits and double taxation to failed funding rounds and audits they can’t afford.\r\n\r\nUntil now, there’s been no solution for this. Big Four firms charge six figures for what early-stage startups need to do, while accountants and lawyers are guessing—or skipping it entirely. We saw founders “flying blind” and leaving huge amounts of cash on the table, not because they didn’t care, but because the system wasn’t built for them.\r\n\r\nCaribou changes that. We automate the hardest parts of transfer pricing by collecting and structuring messy business context with AI. What used to take consultants months now takes minutes, and with greater accuracy.\r\n\r\nWe’re solving this because global ambitions shouldn’t be punished by complexity. Caribou makes international tax compliance simple, affordable, and scalable—so ambitious startups can grow like multinationals, without the pain of becoming one."
      },
      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "To build the first autonomous tax firm.\r\n\r\nFor global to feel as frictionless as local."
      }
    ],
    "url": "https://www.ycombinator.com/companies/caribou",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2019/caribou.json",
    "year_founded": 2024,
    "city": "Lisbon",
    "country": "PT",
    "linkedin_url": "https://www.linkedin.com/company/usecaribou/",
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        "full_name": "Juan Andrade",
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        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/isjuanonline/",
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        "location": "London, England, GB",
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        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
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  {
    "id": 12085,
    "name": "Volta Labs, Inc.",
    "slug": "volta-labs-inc",
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    "website": "http://voltalabs.com",
    "all_locations": "Boston, MA, USA; Cambridge, MA, USA",
    "long_description": "Volta Labs is a genomics applications company that has developed a cutting-edge digital fluidics platform to maximize performance and scalability of sample preparation in genomics while providing unparalleled consistency. Volta is transforming the way biological research and analyses are performed, allowing scientists to focus on what they do best -- pushing the boundaries of biology.\r\n\r\nAs a collective of scientists and builders working at the intersection of engineering and biology, we imagine a world where extracting vital information from biological samples is as simple as pressing a button. That's our vision, and we're turning it into reality.\r\n\r\nOur HQ is in Boston’s Seaport, where we develop and manufacture our technology. We believe in cross-functional collaboration and continuous learning –  whether your interest is in biology, MechEng, CompEng, or simply joining a fast-growing startup striving to make the world a better place, we'd love to welcome you to our team. Check out some of our blog posts to learn more about work life at Volta.  ",
    "one_liner": "Unlocking the utility of genomics for the world.",
    "team_size": 50,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Industrial Bio",
    "launched_at": 1607278601,
    "tags": [
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      "Hardware",
      "Robotics",
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    "top_company": false,
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    "nonprofit": false,
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    "status": "Active",
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    "stage": "Growth",
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    "app_answers": [
      {
        "question": "Describe what your company does in 50 characters or less.\n",
        "answer": "We build Integrated circuits for biology workflows"
      },
      {
        "question": "What is your company going to make? Please describe your product and what it does or will do.\n",
        "answer": "A high throughput automation system for Next-Generation Sequencing (NGS) sample preparation using digital microfluidic chip technology."
      }
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    "question_answers": [
      {
        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "In 2018, Volta Labs was born in the halls of MIT with a clear mission: to unlock the utility of genomics for the world.\\\\Previously nestled in the vibrant hub of Kendall Square, known as \"the most innovative square mile on the planet,\" we quickly became immersed in the dynamic biotech culture. After numerous conversations with other scientists and hours of research, we discovered that trailblazing biologists were being held back by the constraints of existing automation tools, particularly in the realm of DNA sequencing. While DNA readout technologies surged ahead, the upstream steps of sample preparation (sample prep) lagged behind.\\\\During Founder Udayan Umapathi’s graduate stint at the MIT Media Lab, what began as a humble printed circuit board to manipulate colorful droplets soon evolved into a solutionfor the notorious \"sample prep bottleneck.\" Propelled into action, we secured funding from top-tier VCs and got to work."
      },
      {
        "question": "What's the history of your company from getting started until the present day? What were the big inflection points?",
        "answer": "Since the company was funded coming our YC in Winter 2019, our focus has been laser-sharp in the lab, where we've been busy inventing and constructing groundbreaking fluidic and sample manipulation technologies. We embrace an anti-disciplinary approach, tackling the toughest challenges by seamlessly integrating instrumentation, fluidics, software, biology, and chemistry. While we're currently channelling our energies into sequencing sample prep, our grand vision extends beyond – envisioning a future where a single universal machine automates the lion's share of biological workflows in genomics, proteomics, and synthetic biology.\\\\At Volta, we're not just shaping the future of genomics; we're engineering it. Join us in harnessing the power of biology and technology to change the world."
      },
      {
        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "We are in the midst of a genomic revolution. From 1999 to 2000, the Human Genome Project generated the first “draft” human genome, which cost \\~$300 million across 20 labs worldwide. It took another three years, and hundreds of millions of dollars, to produce a human genome that was \\~90% complete, as complete as the technologies for sequencing DNA allowed at the time. In 2023, a scientist can sequence a genome at a bench for hundreds of dollars in a day. The adoption of sequencing technologies across new applications only continues to accelerate as it becomes easier, faster, and cheaper. \\\\Despite these advancements, preparing samples for sequencing remains a significant bottleneck. We believe that disruptive innovations are needed in sample prep to unlock the true utility of genomics. With the new reality of the $200 genome (sequencing cost alone), sample prep is becoming a more significant burden on labs than ever before. "
      }
    ],
    "url": "https://www.ycombinator.com/companies/volta-labs-inc",
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    "year_founded": 2018,
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    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/volta-labs-inc",
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        "full_name": "Udayan Umapathi",
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        "founder_bio": "As the founder and CEO of Volta Labs, Inc., I have over five years of experience in creating and scaling a company that is transforming the field of sequencing sample prep. With a background in entrepreneurship, engineering, design and biology, I have a unique perspective and skill set that enables me to bridge the gap between different disciplines and domains.\n\nAt Volta Labs, we are building a disruptive product that streamlines the entire process of preparing samples for any sequencing technol",
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        "linkedin_url": "http://linkedin.com/in/udayanu/",
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        "title": "Volta Labs Launches Electrowetting-Based Automated NGS Sample Prep Platform | GenomeWeb",
        "url": "https://www.genomeweb.com/sequencing/volta-labs-launches-electrowetting-based-automated-ngs-sample-prep-platform",
        "date": "Feb 07, 2024"
      },
      {
        "title": "Volta Labs and Integrated DNA Technologies Partner to Advance Target Enrichment Workflows",
        "url": "https://www.prnewswire.com/news-releases/volta-labs-and-integrated-dna-technologies-partner-to-advance-target-enrichment-workflows-302052365.html?tc=eml_cleartime",
        "date": "Feb 06, 2024"
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      {
        "title": "Volta Labs and Watchmaker Genomics Partner to Simplify and Optimize NGS Library Prep",
        "url": "https://www.prnewswire.com/news-releases/volta-labs-and-watchmaker-genomics-partner-to-simplify-and-optimize-ngs-library-prep-302052367.html?tc=eml_cleartime",
        "date": "Feb 05, 2024"
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      {
        "title": "Volta Labs Launches Callisto to Revolutionize Genomics and Sample Prep",
        "url": "https://www.prnewswire.com/news-releases/volta-labs-launches-callisto-to-revolutionize-genomics-and-sample-prep-302049915.html",
        "date": "Feb 01, 2024"
      },
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        "title": "Volta Labs grabs $20 million to address a growing genomics bottleneck – TechCrunch",
        "url": "https://techcrunch.com/2022/03/18/volta-labs-grabs-20-million-to-address-a-growing-genomics-bottleneck/",
        "date": "Mar 18, 2022"
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      {
        "id": 78341,
        "title": "Volta Labs - A genomics applications company revolutionizing sample prep",
        "tagline": "Unlocking the utility of genomics for the world",
        "body": "**_tl;dr_** - Volta Labs introduces Callisto, a groundbreaking genomics sample preparation system. With its push-button simplicity, Callisto transforms sample prep unlike anything else in the past 15 years, offering a revolutionary and hands-free experience. Checkout the [**_product here._**](https://www.voltalabs.com/product)\n\n[Volta Labs](https://www.voltalabs.com/product) is a group of antidisciplinary scientists and builders working at the intersection of engineering and biology. With the release of Callisto, we brought to life a sequencer agnostic platform that spans from the raw biological sample to sequenceable molecules. We have done this by reinventing the full stack — hardware, software, chemistry, and biology. At Volta, we’re not just shaping the future of genomics, we are engineering it.\n\n![uploaded image](/media/?type=post&id=78341&key=user_uploads/11802/3c27fa33-e647-497c-997f-4c09284f47b6)\n\n\\\n[🤔](https://emojipedia.org/thinking-face) **The Problem** \n\nGenomic sequencing has made remarkable strides since its inception in 1990, with continuous advancements in both sequencing and data analysis over the past three decades. However, the process of preparing samples for sequencing has seen limited innovation during this time. Despite the tremendous progress in sequencing technologies, the sample preparation phase remains a bottleneck, often taking multiple days and requiring skilled lab technicians and expensive instruments.\n\n**✅ The Solution - The CallistoTM Sample Prep System**\n\nAt Volta, we aim to reduce time and complexity with the introduction of our flagship product, Callisto – a benchtop instrument with many pre-optimized applications that reduces operational requirements and costs in the laboratory and clinic that were previously cost-prohibitive. This innovation addresses the longstanding challenges that have hindered efficiency and accessibility in genomics, making it a game-changer for the industry.\n\n![uploaded image](/media/?type=post&id=78341&key=user_uploads/11802/ae8be7a4-5028-465f-a3f4-ea4d05dabc30)\n\n![uploaded image](/media/?type=post&id=78341&key=user_uploads/11802/da90f1f1-fd22-49a5-b025-5814ed501736)\n\n![uploaded image](/media/?type=post&id=78341&key=user_uploads/11802/c2fd28d3-6988-410b-a677-d20a6f0c1eae)\n\n**✨ Benefits**\n\nCallisto is set to revolutionize laboratories, seamlessly combining efficient nucleic acid extraction with push-button library creation. Explore some of the many advantages that Callisto introduces to the field of genomics sequencing:\n\n* Can be operated without specialized training and takes minutes to set up\n* Sequencer agnostic\n* All-in-one, benchtop solution that allows users to press start and walk away\n* Speeds up and simplifies both short- and long-read sequencing preparations\n* Out of the box, pre-optimized applications\n\n<https://youtu.be/38WfBjteI2E>\n\n🤝 **Our Ask**\n\n* **Connect us with companies and individuals in life sciences and beyond.** Feel free to connect on [LinkedIn](https://www.linkedin.com/in/udayanu) or [send me an email directly](mailto:hello@voltalabs.co)\n* Volta is growing fast and looking for talented engineers as we ramp up production - software, mechanical and electrical. **Our immediate need is for a Software Engineering Lead, Electrical Lead and a Head of Manufacturing.**  [Apply here](https://www.voltalabs.com/careers) or [send me an email](https://hello@voltalabs.co) directly if you want to refer a friend.",
        "url": "https://www.ycombinator.com/launches/KNZ-volta-labs-a-genomics-applications-company-revolutionizing-sample-prep",
        "votes": 4,
        "created_at": "2024-02-12T03:20:46.409Z"
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    "id": 12095,
    "name": "Upsolve",
    "slug": "upsolve",
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        "id": 84634,
        "title": "Dover: Recruiting partners",
        "tagline": "World-class, on-demand fractional recruiters.",
        "body": "# tl;dr:\n\n• Today, Dover is launching Recruiting Partners, connecting you with seasoned recruiters who work as an extension of your team.\n\n• Get flexible, on-demand recruiting help from pros with 10-15 years of experience who've worked with top startups and tech companies.\n\n• Scale your recruiting efforts up or down as needed, without the overhead of a full-time hire.\n\n• Most companies spend an average of $80/hour. Start with as little as $800 (fully refundable deposit).\n\n✨ If you're hiring, get matched with a recruiter at [dover.com/recruiter](http://dover.com/recruiter) ✨\n\n# Dover Recruiting Partners\n\nWe're thrilled to launch Dover Recruiting Partners – our biggest update yet to how startups can hit their hiring goals and hire the best talent.\n\nOver the past 5 years, Dover has helped 1500+ companies like Stripe, Scale AI, OpenSea, Benchling, and Vanta attract and hire top talent. Now, we’re introducing our most flexible and full-service hiring solution for startups: Dover Recruiting Partners.\n\n# 🚀 What are Dover Recruiting Partners?\n\nDover Recruiting Partners are vetted fractional recruiters who can work as an extension of your team. We only accept the top 2% of recruiters.\n\n![uploaded image](/media/?type=post&id=84634&key=user_uploads/5516/5b78d9d2-2b56-4bf3-8c70-9d233f4a3396)\n\n# Key features\n\n1️⃣ On-demand expertise: Get help from experienced recruiters when you need it, without the overhead of a full-time hire. Perfect for startups and companies with variable hiring needs.\n\n2️⃣ Flexible pricing: Ramp up or down based on your hiring needs – pay only for the hours you use.\n\n3️⃣ Tech-enabled efficiency: Recruiters can use Dover’s ATS, Sourcing Extension, and other tools so they can focus on strategic work and keep their costs low.\n\n4️⃣ Transparent metrics: We share cost-per-hire and fill rates for our recruiters before you hire them so you can find the perfect recruiter for you.\n\n# 🤔 Why did we build this?\n\nRecruiting consistently ranks as a top 3 problem for startups, regardless of their stage or industry. Before companies are big enough to justify hiring a full-time recruiter, they often have to resort to agencies.\n\nWe like to say with agencies, \"You'll be unhappy either way\"—either you won't make a hire and waste time, or you will make a hire and pay $30k+ per placement. There’s a reason you don’t hire engineers or marketers on “contingency.”\n\nWe wanted to provide a more flexible, higher-quality solution. Dover Recruiting Partners gives you access to top-tier recruiting talent without the long-term commitment or exorbitant fees. Our fractional recruiting model allows you to work with a separate expert recruiter for each role you're hiring for, whether it's a senior engineer, a sales leader, or a product manager.\n\n# 💰 How much does it cost?\n\nMost companies spend an average of $80 per hour, depending on the services they use. The cost per hire across the platform varies, but it usually ends up being between $4 and $7k.\n\n# 🚀 How do I get started?\n\nHead to [dover.com/recruiter](http://dover.com/recruiter) and click \"Get matched with a recruiter\". We'll set you up with a free call to understand your needs and match you with the perfect Recruiting Partner.\n\nWe're excited to help companies of all sizes build amazing teams. If you have any questions, drop them in the comments or email me directly at [max@dover.com](mailto:max@dover.com).\n\nRead more about how we got here on our blog: <https://www.dover.com/blog/introducing-dover-recruiting-partners>\n\nHappy hiring! 🎉",
        "url": "https://www.ycombinator.com/launches/M14-dover-recruiting-partners",
        "votes": 11,
        "created_at": "2024-10-09T20:37:06.566Z"
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        "id": 76737,
        "title": "AI Applicant Sorting by Dover",
        "tagline": "Chat-powered assistant to help you review resumes 10x faster",
        "body": "<https://www.youtube.com/watch?v=XDETxEtJiCQ&t=1s>\n\nApplicant volume for roles in tech has risen 2.4x in 2023 from last year’s averages. Yet it’s harder to filter down to top candidates and you can’t get back to everyone. It sucks for candidates too — they never hear back, and candidate experience takes a hit.\n\nThe proprietary tech that powers our automated outbound sourcing engine is now applied to reveal top applicants across all your job boards. Use extremely powerful filters and chat to find candidates matching exactly what you’re looking for and review resumes 10x faster — for free.\n\n**What is Dover?**\n\nOver the last five years, Dover (YC S19) has enabled Scale AI, OpenSea, Benchling, Vanta, Stripe, and 500+ other startups to make thousands of hires. You may have seen some of our other launches like our [Applicant Tracking System](https://www.producthunt.com/products/dover#free-ats-by-dover) and [Sourcing Autopilot](https://www.producthunt.com/posts/dover-autopilot).\n\n**What’s different from other resume review tools?**\n\nDover’s AI Applicant Sorting goes far beyond keywords. Dover has a knowledge graph of companies, industries, skillsets, and more.\n\nAI Applicant Sorting allows you to use super powerful filters and chat to find candidates based on exactly what you’re looking for.\n\nAs you review candidates, quickly approve or reject with a click. Take bulk actions to send the next steps in a fraction of the time. Use hotkeys to speed up review time even more.\n\n**What kinds of queries can I sort or filter by?**\n\nIt’s AI-powered, so you can get pretty nuanced:\n\n* “6+ years experience”\n* “based in the US or Canada”\n* “candidates with a fintech background”\n* \"people with experience at B2C startups”\n* “people who have worked on scalable systems”\n* “full stack engineers or people with similar titles”\n* “applicants who worked at well-reputed companies”\n* \"account executives with experience at SaaS startups\"\n* “product managers working in healthcare in San Francisco\"\n* “candidates with FAANG experience who went to a top school”\n* \"software engineers with at least 5 years of experience with React or Typescript experience\"\n\n**How hard is it to set up?**\n\nImport existing applicants from your Applicant Tracking System or get new candidates by posting a job for free with Dover’s ATS, which has everything startups need to build a great recruiting process and candidate experience. It costs $0 and takes 10 minutes to set up.\n\nJust want to try it out? Start using the tool with sample candidates in only a few minutes.\n\n**How much does it cost?**\n\nDover’s AI Applicant Sorting is totally free to use, just like our Applicant Tracking System.\n\n**Why is Dover releasing this for free?**\n\nDover’s mission is to help every company run an incredible hiring process and every candidate has a great experience. The best way to do this is by building easy-to-use tools to help every company get the basics right.\n\nWe make money by selling [Sourcing Autopilot](http://dover.com/sourcing-autopilot) and [Embedded Recruiter](http://dover.com/embedded-recruiter) to companies that need help with sourcing or full-cycle recruiting.\n\n**How do you ensure the AI doesn’t create bias?**\n\nIf you throw AI at a problem, bias can be created. We’ve built this model by inputting specific data and criteria and examining what’s happening with the AI output. We use AI to make it faster and easier.\n\nWe built this feature to make sure you find people who should get a second look and to ensure everyone hears back from you. AI is used to sort candidates, Dover doesn’t autoreject based on its output.\n\n**How do I get started?**\n\nGet started [**here**](https://www.dover.com/ai-sorting?utm_source=bookface&utm_campaign=ai_sorting_bfwww.dover.com/ai-sorting?utm_source=bookface&utm_campaign=ai_sorting_bf).\n\nIf you’re interested in a demo or a white-glove onboarding, email [hello@dover.com](https://www.producthunt.com/products/dover#free-ats-by-dover)",
        "url": "https://www.ycombinator.com/launches/Jxh-ai-applicant-sorting-by-dover",
        "votes": 10,
        "created_at": "2023-12-07T17:18:51.315Z"
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        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
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          "Amazon Web Services (AWS)",
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      {
        "id": 92849,
        "title": "Founding Security Engineer",
        "url": "https://www.ycombinator.com/companies/porter/jobs/UdlFqlr-founding-security-engineer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
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        "experience": "3+ years",
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    "news": [
      {
        "title": "Platform as a service startup Porter aims to become go-to for deploying, managing cloud-based apps – TechCrunch",
        "url": "https://techcrunch.com/2021/07/30/platform-as-a-service-startup-porter-aims-to-become-go-to-platform-for-deploying-managing-cloud-based-apps/",
        "date": "Jul 30, 2021"
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      {
        "id": 71916,
        "title": "Porter - Turn your AWS account into Heroku",
        "tagline": "Porter brings the magical experience of deploying applications with a few clicks into your own cloud account.",
        "body": "**TLDR -** [Porter](https://porter.run) is a Platform as a Service (PaaS) that runs in your own cloud. It brings the magical experience of deploying your applications with a few clicks into your own cloud account. After a year since we closed down our self-serve flow, we are opening Porter back up for self-serve today.\n\n* [Sign up here](https://dashboard.getporter.dev) and start deploying applications on your own infrastructure that scales with you.\n* [Claim $10,000 in credits](https://gcpjnf9adme.typeform.com/to/lHMQdJYb) if your company is enrolled in YC Startup School. Along with the AWS credits you can claim from Startup School, this deal effectively lets you deploy on a PaaS for free - it’s like using Heroku with your AWS credits!\n\n![uploaded image](/media/?type=post&id=71916&key=user_uploads/323071/cc2f3fac-340f-4f39-9e4d-533f7ab40053)\n\n## **What is Porter?**\n\nHi everyone,\n\nWe are Trevor and Justin from [Porter](https://porter.run/). We first launched Porter almost 2 years ago - a lot has happened since then, and today we’re excited to re-launch our product and share our story so far.\n\n**For those of you who aren’t familiar:**\n\n_Porter is a Platform as a Service (PaaS) that runs in your own cloud. You just link up your Git Repository, and Porter will deploy it into your own AWS/GCP/Azure account. Under the hood, it runs your apps on a Kubernetes cluster that’s been battle-tested against real life incidents so you can scale on the same kind of infrastructure that growth-stage companies run without any DevOps work._\n\n## **The PaaS Graduation Problem**\n\nMany startups first get started on a PaaS like Heroku to move quickly without worrying about infrastructure. However, most of these companies end up migrating to their own cloud infrastructure at some point, because their applications need more flexibility as they scale (they “graduate” from their PaaS provider). Moving off production applications off a PaaS is time-consuming and difficult, and hosting all of your infrastructure on in-house solutions of a single PaaS vendor comes with the risk of getting locked in.\n\nPorter hits the sweet spot between simplicity and flexibility by allowing startups to deploy into their own cloud infrastructure with the convenience of a PaaS. Get started on Porter just as easily as you would on a traditional PaaS, then customize your infrastructure freely as you grow. Under the hood, Porter runs a Kubernetes cluster with the same kind of architecture that growth-stage companies build out with an army of infra engineers, so you don’t have to worry about outgrowing the infrastructure.\n\n## **Opening back up for self-serve**\n\n**Porter was originally open for self-serve when we first launched.** We onboarded a lot of companies through the self-serve flow in the beginning, but after a few months quickly realized that we didn’t have the resources to properly manage the Kubernetes clusters that are distributed across different cloud accounts at scale.\n\nThis led us to the difficult decision of shutting down our self-serve function and focusing on larger growth-stage companies that warrant the scalability of Kubernetes. This strategy worked well - we incrementally moved upmarket, quickly grew our revenue, and even onboarded a few public companies.\n\nAfter a year since the initial launch, however, something fascinating started happening; some of the seed-stage companies we’ve onboarded in the beginning started to reach true scale on Porter. [Writesonic](https://www.ycombinator.com/companies/writesonic) (YC S21), who first started on Porter during their YC batch, now runs a Kubernetes cluster with 1.5 _Terabytes_ of RAM without a single full-time infra engineer. [Memberstack](https://www.ycombinator.com/companies/memberstack) (S20) routinely handles more than a million requests a day processing >$5M in payments every month, and [OneShop](https://www.ycombinator.com/companies/oneshop) (S21) runs 60 different integration services on Porter. The list goes on.\n\nBecause we had been building a product for larger companies, our platform evolved on many axes to accommodate projects that are running at true scale - and we have lived long enough to witness companies who initially had tiny workloads on Porter organically grow into a scale that we’ve never even imagined.\n\nWe took the learnings from this experience and are opening Porter back up for self-serve with two key improvements:\n\n1. With a new onboarding and deployment flow, getting started on Porter is truly just as easy as using a traditional PaaS like Heroku or Render. **The only difference** is that you need to connect your cloud account and wait 30 minutes for infrastructure to be provisioned.\n\n   ![](https://www.ycombinator.com/media/?type=post&id=71916&key=user_uploads/323071/890e143d-5d10-4138-9c8e-aeb05a89d420)\n\n2. We’ve built out an internal system that oversees and manages the Kubernetes clusters that are distributed across different cloud accounts, so we are now ready to support a self-serve motion at scale.\n\nYou can [get started here](https://dashboard.getporter.dev). If you’re enrolled in YC Startup School, [claim $10k in credits here](https://gcpjnf9adme.typeform.com/to/lHMQdJYb).",
        "url": "https://www.ycombinator.com/launches/Ihw-porter-turn-your-aws-account-into-heroku",
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        "created_at": "2023-05-30T18:48:51.452Z"
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        "url": "https://www.forbes.com/sites/hanktucker/2024/02/16/the-serial-entrepreneur-who-doesnt-need-to-be-first-to-win/?sh=5322f1ab3071",
        "date": "Feb 16, 2024"
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        "url": "https://techcrunch.com/2022/07/13/founders-fund-pulley-series-b-equity/",
        "date": "Jul 13, 2022"
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        "title": "Pulley Announces $40m Series B Led by Founders Fund",
        "url": "https://pulley.com/blog-posts/note-from-the-founder",
        "date": "Jul 13, 2022"
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      {
        "id": 64206,
        "title": "Pulley - Cap table management for founders & employees",
        "tagline": "Pulley provides the tools and insights to make smarter decisions about your equity",
        "body": "Traditional cap tables have been siloed in spreadsheets and managed by legal teams. Pulley is the cap table and equity management platform purpose-built for founders and employees. We give companies the tools and insights to make smarter, more informed decisions about their equity.\n\n### **Why equity management?**\n\nEquity is a company's single most important asset. This means the best cap table solution must be more than just a record-keeper. Pulley gives companies insights into their ownership, so they can make smarter decisions around hiring and fundraising, while proactively staying ahead of tax filings and accounting.\n\n### **How does Pulley work?**\n\nFor early stage companies, Pulley helps founders avoid expensive equity mistakes and save thousands on legal fees. With Pulley, you can compare different funding scenarios, raise capital, and set up equity grants for employees. This means you can get started on fundraising and hiring _before your first round._\n\nOur tools help companies answer important questions such as:\n\n* How much of the company will I own after my next round.\n* How will pro-rata rights impact my ownership in future rounds?\n* How do I explain the value of equity to candidates?\n\nAs your company grows, we help employees understand the value of equity and handle complex tax paperwork. We also help companies save time by streamlining complex workflows, reducing the need for other tools, and eliminating the need for manual updates.\n\n### **What next?**\n\nPulley is on a mission to make it easier for anyone to start a company and envisions a future with more founder-led companies and employee-owners.\n\n_Want to join our mission?_ Learn more about [our culture here](https://twitter.com/yinyinwu/status/1334957013558673408), and view open positions at <https://jobs.ashbyhq.com/Pulley>\n\n_Want us to build your cap table?_ Visit us at <https://www.pulley.com>\n\n![uploaded image](/media/?type=post&id=64206&key=user_uploads/26455/73ccd8fb-3ed8-4b30-9f57-59c90a377c6c)\n\n",
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        "votes": 36,
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    "long_description": "Ophelia helps people quit opioids without going to rehab. We offer online doctor’s visits, withdrawal medication prescriptions, and support for long-term recovery, using a protocol 6x more effective than most rehabs (2/3rds of which don't have doctors).\r\n\r\nMore than 3 million Americans are addicted to opioids, but 80% are not getting help, due to jobs, families, and privacy concerns. Meanwhile, there's a proven treatment that increases survival rates by 600%, and it's low cost, discreet, and convenient. It's called MAT, and it looks like treatment for anxiety or depression: medication plus therapy. However, doctors need a special waiver to prescribe the medication, which fewer than 5% of them have, so it's difficult to get, and most people are buying it on the street. Sadly, drug dealers aren't doctors: every 11 minutes another American dies of an opioid overdose, now the #1 cause of death for Americans under 50.\r\n\r\nOphelia is replacing rehab with telemedicine, using proven science and a consumer-first approach. The opioid treatment market in the U.S. is $15B, and 85% of opioid addicts have insurance that pays for it. We're treating roughly 400 patients with thousands more waiting.\r\n\r\nZack started Ophelia after losing his girlfriend to an opioid overdose, who found it easier to get medication from a drug dealer than a doctor. We are raising money to help patients in waiting, grow our footprint, save lives, and earn venture-level returns for investors.",
    "one_liner": "Medication & support to beat opioid addiction from home",
    "team_size": 250,
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    "long_description": "Taiv puts business TVs on autopilot, automatically switching between cable, our own streaming channels, digital signage, and trivia.  Our proprietary AI model analyzes the live video feed and intelligently switches sources during commercial breaks, show changes, or based on the time of day, to show the best possible content & ads for any environment.\r\n\r\nWe offer this for free to venues and make money by selling ads, which we rev-share back with the venue, turning their TVs from a cost center to a profit center. ",
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        "full_name": "Jordan Davis",
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        "full_name": "Avi Stoller",
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    "subindustry": "Real Estate and Construction -> Construction",
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    "city": "Austin",
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        "full_name": "Dmitry Alexin",
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        "founder_bio": "I am the CEO & Founder of Handoff. Previously, I led the ML team at CloudKitchens as one of the founding employees. Before that I worked for a global macro hedge fund and the IMF.",
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        "title": "Account Executive",
        "url": "https://www.ycombinator.com/companies/handoff/jobs/wPWUYMh-account-executive",
        "location": "Austin, TX, US",
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        "id": 105419,
        "title": "Senior Product Manager",
        "url": "https://www.ycombinator.com/companies/handoff/jobs/TyN2pBE-senior-product-manager",
        "location": "Austin, TX, US",
        "type": "Full-time",
        "role": "Product",
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    ],
    "news": [
      {
        "title": "As inflation fears spike, 1build raises $14M to help construction firms optimize their cost estimates – TechCrunch",
        "url": "https://techcrunch.com/2021/09/22/1build-series-a/",
        "date": "Sep 22, 2021"
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    ],
    "launches": [
      {
        "id": 106241,
        "title": "Handoff H1: a takeoff model that outperforms human estimators",
        "tagline": "Autonomous takeoffs, available today via API",
        "body": "**TL;DR:** H1 reads construction blueprints and produces a complete material takeoff autonomously, from the raw PDF. It scores 81.6% on our benchmark — ahead of human estimators (77.6%) and \\~20 points clear of the best frontier model. It runs in \\~2 hours vs. up to a week for a human.\n\n![uploaded image](/media/?type=post&id=106241&key=user_uploads/428748/ccaeb6b3-ba3f-4330-acd0-8e8ff779cca2)\n\n\n**The problem**\n\nBefore a contractor can bid a job, someone has to do a takeoff: read every sheet, count materials trade by trade, measure walls and roofs, cross-reference dimensions that live on different pages. It takes an experienced estimator 8–20 hours per project and years of training to do at all. It's the tax on every bid in a huge, fragmented industry.\n\nYou'd think a frontier model could do this now. It can't. Foundation models today aren't capable of understanding construction drawings to a level that is actually useful for a construction business. So this massive $2 trillion industry still runs on blueprints that are being analyzed by humans pretty much the same way they have been for the last few hundred years.\n\n**What we built**\n\nHandoff has developed H1: an AI model that understands and analyzes blueprints better than a human estimator, thus resolving this manual bottleneck once and for all.\n\n![uploaded image](/media/?type=post&id=106241&key=user_uploads/428748/e3a9fd8f-cdf2-48f1-b4d6-9e30aa807ec5)\n\nH1 has three layers:\n\n* **Scope analysis** — a detailed, trade-by-trade breakdown of what the project actually involves, read straight from the drawings.\n* **Takeoff with quantities** — a complete material quantity list per trade: framing members, sheets, linear and square footage, counts, all with units.\n* **Localized construction costs** — accurate pricing on those quantities, localized to your ZIP code.\n\nAll of it programmatic and autonomous. No human needs to be involved in the process of creating the entire takeoff. You can simply upload plans and get structured scope, quantities, and costed output back.\n\n**The benchmark (TakeoffBench-V1)**\n\nAs part of this, we are also releasing the industry's first takeoff benchmark that enables us and anybody else in the research community to compare models against 15 real, permissioned, PII-stripped residential blueprint sets, each paired with a consensus-validated expert takeoff.\n\n![uploaded image](/media/?type=post&id=106241&key=user_uploads/428748/b4f0b802-c841-403e-8867-5b1ac2e9fcb2)\n\n![uploaded image](/media/?type=post&id=106241&key=user_uploads/428748/abdfeb2b-4ed7-4764-bc47-a6305f6d8ff9)\n\nHere's how we performed on the benchmark:\n\n* Handoff-H1: 81.6%\n* human estimator (with takeoff software): 77.6%\n* best frontier model (Claude Fable): 61.4%\n\nThe rest cluster in the low-to-mid 50s (gpt-5.6, Claude, Kimi) down to 34.7% (DeepSeek-V4-Pro).\n\n**Try it**\n\nH1 is live in the [Handoff](https://handoff.ai) product and on the API. We have one of the world's largest suppliers already using our model in every one of their locations across the country, including thousands of projects every month.\n\nIf you're looking for an intelligence layer to extract detailed structured data from blueprints with construction costs priced out to the nearest cent, hit us up at [api@handoff.ai](mailto:api@handoff.ai)",
        "url": "https://www.ycombinator.com/launches/RdZ-handoff-h1-a-takeoff-model-that-outperforms-human-estimators",
        "votes": 7,
        "created_at": "2026-07-22T20:04:49.600Z"
      },
      {
        "id": 93974,
        "title": "Handoff - AI Agent for Residential Contractors",
        "tagline": "Handoff makes you more money, saves time, and runs your residential contracting business with AI.",
        "body": "### **The Problem**\n\nThere are 1.2M+ residential contractors (remodelers, home builders, etc.) in the US. They are severely understaffed and overworked:\n\n* 40% of their time goes to paperwork instead of building.\n* They rely on pen & paper or outdated software.\n* The US needs 4.7 million new homes (and contractors need to keep up with that demand).\n\nhttps://www.youtube.com/watch?v=jd85wN1hhBo\n\n### **The Solution: Handoff AI Agent**\n\nHandoff is the AI agent that helps owners of residential construction businesses automate their back office with AI.\n\nHere are some of the things Handoff can do:\n\n* Generate accurate construction estimates from short project descriptions and files (blueprints, photos, videos).\n* Automatically create material shopping lists (with links to purchase).\n* Send invoices, accept payments, and issue consumer loans.\n* Build project schedules, subcontractor bid invites, daily logs, and more.\n\nHandoff takes on the roles of:\n\n1. Cost estimator\n2. Project coordinator\n3. Admin assistant\n\nThis reduces the operational burden of scaling a construction business by $500k+/year, at a price point of just $149/month.\n\n![uploaded image](/media/?type=post&id=93974&key=user_uploads/428748/c2abd311-42d3-4f56-aed6-87253717f18e)\n\n![uploaded image](/media/?type=post&id=93974&key=user_uploads/428748/69f03428-53c5-4f46-9def-875366b532d9)\n\n### **The Secret Sauce**\n\nHow did we build Handoff? In short, we became obsessed with creating the world’s most accurate API for construction costs and a knowledge base of construction logic.\n\nWe work directly with top suppliers like Home Depot and Lowe’s to integrate their catalogs into Handoff, giving our customers real-time pricing and inventory.\n\nWe’ve also trained Handoff on 10,000+ construction cost estimates we completed by hand while running a manual cost estimating service in our early days.\n\n![uploaded image](/media/?type=post&id=93974&key=user_uploads/428748/9349123e-4a79-47c3-a7b6-7cb7d0575a47)\n\n### **Send This to Your Contractor**\n\nAre you getting some remodeling work done?\n\nGet a free account on [Handoff](https://handoff.ai/) and generate an estimate for your project. Share it with remodelers bidding on your job and ask them to explain any cost variance versus Handoff’s numbers.\n\nYou might be able to save yourself some money and help us generate more leads!",
        "url": "https://www.ycombinator.com/launches/ORi-handoff-ai-agent-for-residential-contractors",
        "votes": 14,
        "created_at": "2025-09-19T20:14:46.930Z"
      },
      {
        "id": 70854,
        "title": "🏗️ 1build - Plaid for construction cost data",
        "tagline": "Track live pricing on 68M datapoints for construction materials, labor, and equipment in the US.",
        "body": "**TL;DR: 1build is launching the API for construction pricing data. Developers can use our API to access up-to-date information on construction costs for workflows like construction estimating, procurement, and loan/insurance underwriting. The API can be either queried with GraphQL or easily integrated into any application with one line of HTML.**\n\n﻿📚﻿ **Backstory**\n\nAs wild as it sounds, the construction industry still uses actual books that are published once a year to track construction market pricing. I previously ran the data science team at CloudKitchens where I needed an API for tracking live construction pricing data--but instead of an API I had to deal with these cost books.\n\n![](https://t4207102.p.clickup-attachments.com/t4207102/24e83b10-e8f3-4b04-b043-a050c01c2eb1/image.png)\n\n﻿📊﻿ **Problem**\n\nConstruction costs have been extremely volatile over the last several years. For example, lumber prices skyrocketed 400% and then crashed in 2021. At the same time, the construction tech space is booming ($5B+ is invested annually), but it still lacks its own \"Plaid\" for mission-critical market pricing data.\n\n﻿🛠️﻿ **Our solution**\n\n1build has an easy-to-use API as well as a JavaScript embed widget that gives you access to live pricing data on 68 million construction materials, labor, and equipment anywhere in the US.\n\n﻿🚀﻿ **How it works**\n\nYou can either use our GraphQL API ([docs](https://developer.1build.com/1build-api-reference)) or JavaScript embed widget ([docs](https://developer.1build.com/1build-widget-reference/)) to integrate construction pricing data into your application. Sign up [here](https://app2.1build.com/public/register?signupType=SOFTWARE_DEVELOPER) to get your API key.\n\nHere are just some of the use cases for our data:\n\n* Your contractor sent you an estimate and you want to validate their quote vs market rates.\n* You're serving bank underwriters who need to check whether their client's construction loan application has an accurate budget.\n* You're working with insurance brokers who need to approve a quote for home repairs.\n\n![uploaded image](/media/?type=post&id=70854&key=user_uploads/428748/7736013a-63ee-4a2c-ae3e-72873fb8f515)\n\n**Features**\n\n﻿⚫﻿ Search or browse our catalog of 68 million construction items and assemblies localized to your project. Include labor to get all-in installation costs.\n\n![](https://t4207102.p.clickup-attachments.com/t4207102/d8aac21a-8be8-46b3-813c-1b71484d5362/image.png)\n\n﻿⚫﻿ Add this line of HTML in your app to embed our construction pricing catalog:\n\n![](https://t4207102.p.clickup-attachments.com/t4207102/31a4f86e-5567-4937-926c-452f8f6274aa/image.png)\n\n﻿⚫﻿ Or query our API with GraphQL:\n\n![](https://t4207102.p.clickup-attachments.com/t4207102/5c1a6e76-3c97-4ed2-ae2d-2273f8357b79/image.png)\n\n﻿👷 ﻿**Asks**\n\nTry [1build](http://1build.com) now! [Get your API keys](https://app2.1build.com/public/register?signupType=SOFTWARE_DEVELOPER) or [contact us](https://meetings.hubspot.com/dmitry-alexin/30-min) to embed live construction data into your application or ML model.\n\nWe are hoping to discover new use cases and applications for our data, so don't hesitate to reach if you want to bounce around a few ideas.\n\nWe are also looking for feedback on the API / JS widget's ease of use, so let us know about your experience with our docs/integration.",
        "url": "https://www.ycombinator.com/launches/IQo-1build-plaid-for-construction-cost-data",
        "votes": 24,
        "created_at": "2023-04-10T19:14:40.977Z"
      }
    ]
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    "id": 13149,
    "name": "Haven",
    "slug": "haven",
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        "title": "Category Lead, UK ",
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        "title": "Category Manager, Australia - Sports",
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        "location": "Sydney, Australia / Melbourne, Australia",
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        "title": "Category Manager, Japan",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/heTjxOW-category-manager-japan",
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        "title": "Creator Marketing Manager (French-speaking)",
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        "title": "Customer Experience Agent, 2025-27 New Grad",
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        "title": "Customer Experience Agent  (French Speaking)",
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        "title": "Customer Experience Agent (German Speaking)",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/092lBIh-customer-experience-agent-german-speaking",
        "location": "Dublin, Ireland",
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        "title": "Customer Experience Agent, High Value Items",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/vMv3RM9-customer-experience-agent-high-value-items",
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        "title": "Customer Experience Agent (Japanese Speaking)",
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        "title": "Customer Experience Agent (Whatnot Sellers as Agents)",
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        "title": "Fullstack Engineer, Ads",
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        "title": "Fullstack Engineer, App Platform",
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        "id": 110319,
        "title": "Senior Software Engineer, Infrastructure Traffic",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/QqHuRTm-senior-software-engineer-infrastructure-traffic",
        "location": "Remote (US)",
        "type": "Full-time",
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        "title": "International Strategy & Operations Senior Manager, Commerce",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/AU7wFe6-international-strategy-operations-senior-manager-commerce",
        "location": "London, UK / Dublin, Ireland",
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        "id": 110321,
        "title": "International Strategy & Operations Senior Manager, Commerce (French Speaking)",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/q5HbSqp-international-strategy-operations-senior-manager-commerce-french-speaking",
        "location": "London, UK / Dublin, Ireland",
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        "id": 110322,
        "title": "International Strategy & Operations Senior Manager, Commerce (German-speaking)",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/yVLJV4B-international-strategy-operations-senior-manager-commerce-german-speaking",
        "location": "London, UK / Dublin, Ireland / Berlin, Germany",
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        "title": "Staff iOS Engineer, App Platform",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/4vBRA1n-staff-ios-engineer-app-platform",
        "location": "Remote (US)",
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        "role": "Engineering",
        "role_type": "Full stack",
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        "title": "IT Systems & Ops Engineer",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/vLYiSuz-it-systems-ops-engineer",
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        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
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        "title": "Software Engineer, Core Machine Learning",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/4E0qaCY-software-engineer-core-machine-learning",
        "location": "San Francisco, CA / Seattle, WA / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
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        "title": "Machine Learning Engineer, Discovery",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/TnoDtpW-machine-learning-engineer-discovery",
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        "role_type": "Full stack",
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        "title": "Machine Learning Engineer, Growth",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/jbUKQac-machine-learning-engineer-growth",
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        "type": "Full-time",
        "role": "Engineering",
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        "title": "Machine Learning Platform Engineer",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/zG7UlQq-machine-learning-platform-engineer",
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        "role": "Engineering",
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        "title": "Manager, Workforce Operations",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/ROlkdBm-manager-workforce-operations",
        "location": "Phoenix, AZ / New York, NY / San Francisco, CA / Los Angeles, CA / Remote (US)",
        "type": "Full-time",
        "role": "Operations",
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        "title": "Marketing Manager",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/Yer08Ru-marketing-manager",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Marketing",
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        "salary_range": "$126K - $140K",
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        "title": "Marketing Operations Manager, Growth Marketing",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/yWQXXaD-marketing-operations-manager-growth-marketing",
        "location": "Los Angeles, CA / New York, NY / San Francisco, CA / Remote (US)",
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        "title": "Market Intelligence Manager / Sr Manager",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/HQ2ZHn4-market-intelligence-manager-sr-manager",
        "location": "Remote (US)",
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        "title": "Partnerships Associate, Australia ",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/KeQnFK1-partnerships-associate-australia",
        "location": "Sydney, Australia / Melbourne, Australia",
        "type": "Full-time",
        "role": "Sales",
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        "title": "Payroll Analyst",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/3x4XHTm-payroll-analyst",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
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        "title": "People Operations Partner ",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/GxtIlaH-people-operations-partner",
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        "type": "Full-time",
        "role": "Operations",
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        "salary_range": "$95K - $125K",
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        "title": "Performance Creative Lead, Europe",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/jIJa0R8-performance-creative-lead-europe",
        "location": "London, UK / Berlin, Germany",
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        "experience": "5+ years",
        "visa": "US citizen/visa only",
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        "title": "Product Counsel, EMEA",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/XqyLoyq-product-counsel-emea",
        "location": "Dublin, Ireland / London, UK",
        "type": "Full-time",
        "role": "Operations",
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        "salary_range": "€173K - €235K EUR",
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        "id": 110344,
        "title": "Product Designer",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/bmZkO3f-product-designer",
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        "type": "Full-time",
        "role": "Design",
        "role_type": "Web design",
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        "id": 110346,
        "title": "Product Designer, Payments",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/oOL97eh-product-designer-payments",
        "location": "San Francisco, CA / New York, NY / Los Angeles, CA / Seattle, WA / Remote (US)",
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        "role": "Design",
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        "title": "Product Designer, Trust & Risk",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/TZjyr3n-product-designer-trust-risk",
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        "role": "Design",
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        "title": " Product Manager, Logistics",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/h7FovFG-product-manager-logistics",
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        "type": "Full-time",
        "role": "Product",
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        "title": "Strategy & Operations Manager, Compensation ",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/kbAqsqw-strategy-operations-manager-compensation",
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        "type": "Full-time",
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        "title": "Revenue Operations Manger - Australia",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/oTHiV1f-revenue-operations-manger-australia",
        "location": "Sydney, Australia / Melbourne, Australia / Remote (US)",
        "type": "Full-time",
        "role": "Operations",
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        "salary_range": "$180K - $220K",
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        "id": 110351,
        "title": "Sales Development Representative ",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/KBKV4Er-sales-development-representative",
        "location": "New York, NY / San Francisco, CA / Los Angeles, CA / Remote (US)",
        "type": "Full-time",
        "role": "Sales",
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        "salary_range": "$80K - $90K",
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        "id": 110352,
        "title": "Sales Manager ",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/h3n5e8W-sales-manager",
        "location": "Los Angeles, CA / New York, NY / San Francisco, CA / Remote (US)",
        "type": "Full-time",
        "role": "Sales",
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        "experience": "5+ years",
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        "id": 110353,
        "title": "Sales Manager (German-speaking)",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/a7UBQDc-sales-manager-german-speaking",
        "location": "Berlin, Germany / Remote (US)",
        "type": "Full-time",
        "role": "Sales",
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        "salary_range": "",
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        "experience": "5+ years",
        "visa": "US citizen/visa only",
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        "id": 110354,
        "title": "Security Engineer (GRC)",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/g26Ltld-security-engineer-grc",
        "location": "San Francisco, CA / New York, NY / Los Angeles, CA / Seattle, WA / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
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        "experience": "Any (new grads ok)",
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        "id": 110355,
        "title": "Senior Android Engineer - China",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/5QHGSSW-senior-android-engineer-china",
        "location": "China / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
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        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 110356,
        "title": "Senior Art Director, 2D Illustration",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/oPwNjd8-senior-art-director-2d-illustration",
        "location": "New York, NY / San Francisco, CA / Los Angeles, CA / Seattle, WA / Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$158K - $200K",
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        "experience": "5+ years",
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      {
        "id": 110357,
        "title": "Senior Backend Engineer, International Engineering",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/w5JQdWG-senior-backend-engineer-international-engineering",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
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        "experience": "5+ years",
        "visa": "US citizen/visa only",
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      {
        "id": 110358,
        "title": "Senior Communications Manager, Australia ",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/Cw2NqHT-senior-communications-manager-australia",
        "location": "Sydney, Australia / Melbourne, Australia",
        "type": "Full-time",
        "role": "Operations",
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        "salary_range": "$200K - $235K",
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        "id": 110359,
        "title": "Senior Frontend Engineer - China",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/wJaJzx1-senior-frontend-engineer-china",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
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        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
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      {
        "id": 110360,
        "title": "Senior Fullstack Engineer - China",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/DUslSyS-senior-fullstack-engineer-china",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
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        "experience": "5+ years",
        "visa": "US citizen/visa only",
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      {
        "id": 110361,
        "title": "Senior iOS Engineer - China",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/jsjkyKJ-senior-ios-engineer-china",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
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        "experience": "5+ years",
        "visa": "US citizen/visa only",
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      {
        "id": 110362,
        "title": "Senior Manager, Accounts Payable",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/LGn9q60-senior-manager-accounts-payable",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$162K - $190K",
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      {
        "id": 110364,
        "title": "Senior People Business Partner, Operations",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/TZNTzJx-senior-people-business-partner-operations",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$174K - $240K",
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        "experience": "5+ years",
        "visa": "US citizen/visa only",
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      {
        "id": 110365,
        "title": "Senior Production Engineer",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/6lSkB4n-senior-production-engineer",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
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        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 110366,
        "title": "Senior Production Engineer",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/L1BbWP2-senior-production-engineer",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
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        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 110367,
        "title": "Senior Program Manager, Creative Ops",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/m5k0ghj-senior-program-manager-creative-ops",
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        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$158K - $175K",
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        "experience": "5+ years",
        "visa": "US citizen/visa only",
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      {
        "id": 110368,
        "title": "Senior Software Engineer",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/IjVbXVC-senior-software-engineer",
        "location": "San Francisco, CA / New York, NY / Los Angeles, CA / Seattle, WA / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
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        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
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      {
        "id": 110369,
        "title": "Senior Software Engineer, CX",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/ZvXzkhP-senior-software-engineer-cx",
        "location": "San Francisco, CA / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
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      {
        "id": 110370,
        "title": "Senior Software Engineer, Observability ",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/TzJpXKl-senior-software-engineer-observability",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
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        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 110371,
        "title": "Social Media Manager, Germany (m/f/d)",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/ot2Yzap-social-media-manager-germany-m-f-d",
        "location": "Berlin, Germany",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "€86K - €108K EUR",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 110372,
        "title": "Software Engineer, 2027 New Grad",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/0hr76hr-software-engineer-2027-new-grad",
        "location": "New York, NY / San Francisco, CA / Los Angeles, CA / Seattle, WA",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$155K - $160K",
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        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 110373,
        "title": "Software Engineer, Ads",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/L781k69-software-engineer-ads",
        "location": "New York, NY / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$170K - $230K",
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        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 110374,
        "title": "Software Engineer, Data Developer Platform",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/qqW5amq-software-engineer-data-developer-platform",
        "location": "San Francisco, CA / New York, NY / Los Angeles, CA / Seattle, WA / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$200K - $275K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 110375,
        "title": "Software Engineer, Data Platform",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/o8xBite-software-engineer-data-platform",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$190K - $270K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 110376,
        "title": "Software Engineer, Design Systems",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/FLBpH4R-software-engineer-design-systems",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$207K - $230K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 110378,
        "title": "Software Engineer, Financial Platform",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/NHcBKbj-software-engineer-financial-platform",
        "location": "Dublin, Ireland",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "€99K - €145K EUR",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 110379,
        "title": "Software Engineer Intern (Summer 2027)",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/6tf1cBH-software-engineer-intern-summer-2027",
        "location": "San Francisco, CA / New York, NY",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$65 / hourly",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 110380,
        "title": "Software Engineer, Logistics Platform",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/VIJRZmU-software-engineer-logistics-platform",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$190K - $230K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 110381,
        "title": "Software Engineer, Messaging Platform",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/2tiDqoQ-software-engineer-messaging-platform",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$170K - $230K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 110382,
        "title": "Software Engineer, Safety Experience",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/TTSIua2-software-engineer-safety-experience",
        "location": "New York, NY / Los Angeles, CA / Seattle, WA / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$170K - $230K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 110383,
        "title": "Software Engineer, Seller Growth",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/pNrfpFk-software-engineer-seller-growth",
        "location": "New York, NY / San Francisco, CA / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$205K - $290K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 110384,
        "title": "Software Engineer, Trust Experience",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/5qUXjEj-software-engineer-trust-experience",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$170K - $230K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 110385,
        "title": "Software Engineer, Video",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/KkoADeC-software-engineer-video",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$190K - $260K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 110386,
        "title": "Sr. Creative Strategist, Performance Marketing",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/ksmJdOM-sr-creative-strategist-performance-marketing",
        "location": "Los Angeles, CA / New York, NY / San Francisco, CA / Seattle, WA / Remote (US)",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$158K - $175K",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 110388,
        "title": "Staff Machine Learning Engineer, Ads",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/aG3yghp-staff-machine-learning-engineer-ads",
        "location": "New York, NY / Kraków, Poland",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$245K - $300K",
        "equity_range": "",
        "experience": "8+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 110389,
        "title": "Staff Software Engineer",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/U4eg6sk-staff-software-engineer",
        "location": "San Francisco, CA / New York, NY / Los Angeles, CA / Seattle, WA / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$230K - $290K",
        "equity_range": "",
        "experience": "8+ years",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 110390,
        "title": "Staff Software Engineer, Ads",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/ML1dYYa-staff-software-engineer-ads",
        "location": "New York, NY / Kraków, Poland / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$245K - $290K",
        "equity_range": "",
        "experience": "8+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 110391,
        "title": "Software Engineer, Data Developer Platform",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/ibpgRRr-software-engineer-data-developer-platform",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$207K - $290K",
        "equity_range": "",
        "experience": "8+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 110392,
        "title": "Staff Software Engineer - Japan",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/X6zvv2Y-staff-software-engineer-japan",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$19M - $26M",
        "equity_range": "",
        "experience": "8+ years",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 110393,
        "title": "Strategic Development Manager",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/u0qIJol-strategic-development-manager",
        "location": "New York, NY / San Francisco, CA / Los Angeles, CA",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$140K - $155K",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 110394,
        "title": "Strategic Development Manager, France",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/9hT5sfh-strategic-development-manager-france",
        "location": "London, UK / Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 110395,
        "title": "Strategic Development Manager, UK",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/09h363F-strategic-development-manager-uk",
        "location": "London, UK / Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 110396,
        "title": "Strategic Partnerships Manager",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/liwVQwK-strategic-partnerships-manager",
        "location": "New York, NY / San Francisco, CA / Los Angeles, CA",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$167K - $185K",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 110397,
        "title": "Strategic Partnerships Manager",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/UwqX7W7-strategic-partnerships-manager",
        "location": "London, UK / Remote (US)",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$167K - $185K",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 110398,
        "title": "Strategy and Operations Manager, Revenue Operations",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/AwCAz8u-strategy-and-operations-manager-revenue-operations",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$167K - $185K",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 110399,
        "title": "Strategy & Operations Manager/Senior Manager, Commerce",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/9VqjpRG-strategy-operations-manager-senior-manager-commerce",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$167K - $275K",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 110400,
        "title": "Strategy & Operations Senior Manager, Australia",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/ggmGsAb-strategy-operations-senior-manager-australia",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$204K - $240K",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 110401,
        "title": "Strategy & Operations Senior Manager, Japan",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/5beUTmI-strategy-operations-senior-manager-japan",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 110402,
        "title": "Technical Program Manager",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/YggYPbX-technical-program-manager",
        "location": "San Francisco, CA / New York, NY / Los Angeles, CA / Seattle, WA / Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$190K - $250K",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 110403,
        "title": "Threat Detection and Response Engineer",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/Bt8vv9F-threat-detection-and-response-engineer",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$165K - $260K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 110404,
        "title": "Trust and Safety Team Lead, International",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/3IKbD28-trust-and-safety-team-lead-international",
        "location": "Dublin, Ireland / Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "€63K - €70K EUR",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 110406,
        "title": "Trust & Risk Agent (French Speaking)",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/SHOUUeC-trust-risk-agent-french-speaking",
        "location": "Dublin, Ireland",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "€35K - €42.5K EUR",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 110407,
        "title": "Trust & Risk Agent (German Speaking)",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/XFRzS4P-trust-risk-agent-german-speaking",
        "location": "Dublin, Ireland",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "€35K - €42.5K EUR",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 110408,
        "title": "Trust & Risk Agent, Japan",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/D4kOs9P-trust-risk-agent-japan",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 110409,
        "title": "Trust & Safety Agent",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/MXD6uqf-trust-safety-agent",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$24 - $28 / hourly",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 110410,
        "title": "Trust & Safety Agent, 2025-27 New Grad",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/NnKwcff-trust-safety-agent-2025-27-new-grad",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$24 / hourly",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 110411,
        "title": "Warehouse Agent - FTC",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/ibHmw0M-warehouse-agent-ftc",
        "location": "Phoenix, AZ / Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$26",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 110412,
        "title": "Workplace Operations & Experience Manager",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/z42TXnd-workplace-operations-experience-manager",
        "location": "San Francisco, CA",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$174K - $205K",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 110575,
        "title": "Contracts Manager",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/Netx1YT-contracts-manager",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$144K - $190K",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 110576,
        "title": "Trust & Risk Agent (Dutch Speaking)",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/kS67NOH-trust-risk-agent-dutch-speaking",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "€35K - €42.5K EUR",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 110842,
        "title": "Machine Learning Engineer, Applied Research",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/rQ9Bdof-machine-learning-engineer-applied-research",
        "location": "New York, NY",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$210K - $300K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 110843,
        "title": "Software Engineer, Ads ",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/a4afTfL-software-engineer-ads",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 111973,
        "title": "Product Manager, Payments",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/V4XAD00-product-manager-payments",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Product",
        "role_type": null,
        "salary_range": "$240K - $344K",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 112195,
        "title": "Head of Tax & Treasury",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/CoE0sk1-head-of-tax-treasury",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$336K - $395K",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 112196,
        "title": "Recruiting Coordinator - 6 Month Contract",
        "url": "https://www.ycombinator.com/companies/whatnot/jobs/aoVxufV-recruiting-coordinator-6-month-contract",
        "location": "Los Angeles, CA / San Francisco, CA / Seattle, WA / Remote (US)",
        "type": "Full-time",
        "role": "Recruiting & HR",
        "role_type": "Recruiter",
        "salary_range": "$39 / hourly",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
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        "title": "AI Engineering Lead at AIOS — Remote, $200-$400k/yr + equity",
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    "long_description": "📬 Stable is a virtual address & mailroom for startups, and the only solution on the market that guides you through switching your business address compliantly\r\n\r\n- 🏢 1 permanent business address for all of your company documents and mail\r\n- 👩‍🏫 Guidance on compliantly switching your address with the IRS, state, banks, payroll, etc\r\n- 📨 Open, view, forward, and shred your mail securely without physically entering a mailroom\r\n- ⚡ Integrations with the tools you love to use (Slack, Dropbox, Drive, etc)\r\n- 💻 Modern platform with encrypted file storage, optical character recognition, and more\r\n",
    "one_liner": "A virtual address + mailbox for business",
    "team_size": 60,
    "industry": "B2B",
    "subindustry": "B2B -> Office Management",
    "launched_at": 1584214989,
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        "full_name": "Collin Pham",
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        "is_active": true,
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        "title": "Processing Center Specialist",
        "url": "https://www.ycombinator.com/companies/stable/jobs/G4g3U5Q-processing-center-specialist",
        "location": "Dallas",
        "type": "Full-time",
        "role": "Operations",
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    "launches": [
      {
        "id": 71235,
        "title": "📬 Stable: A virtual business address & mailbox (now live in Texas and Florida)",
        "tagline": "Stable provides a business address & virtual mailbox that can be used with the IRS, government entities, banks, and more.",
        "body": "👋 Hey YC!\n\nSarah here — I’m a co-founder at Stable, and we provide companies with a business address and virtual mailbox so they can manage their mail online. \n\nToday we’re thrilled to share that we’ve launched in Texas and Florida (+ with a special deal)! \n\n![uploaded image](/media/?type=post&id=71235&key=user_uploads/89898/eccd3582-fed8-444e-aed8-ab2015d0a242)\n\n**📬 About Stable** \n\nWe launched Stable in the middle of the pandemic when companies were shutting down offices and going fully remote but still needed a physical address to use with the government, IRS, banks, and other vendors.\n\nBut after working with more than 1400 companies like Jeeves, Indiegogo, and Airbyte, we’ve realized that no one likes managing physical mail – whether they’re remote or working out of an office. \n\nSo in addition to helping companies open, view, forward and shred mail online, we’ve built features that save companies dozens of hours every month – from startups that just need a business address to incorporate to growth stage businesses processing 1000s of pieces of mail a month. \n\nHere’s what we’ve launched recently.\n\n* Search across all mail by sender, receiver, or anything on the envelope\n* Auto-scan received mail & auto-deposit checks\n* Get notified when mail is assigned to you or your department\n* Auto-route mail to the right department\n* Control mail access with roles and permissions\n\nNow, we're excited to be able to help even more companies by launching Stable in two highly-requested locations – Texas and Florida! \n\n![uploaded image](/media/?type=post&id=71235&key=user_uploads/89898/c7760542-7fa2-4df6-9c09-9ee48e418428)\n\n💰 **Special Deal**\n\nGet a $25 monthly discount ($300 annual) when you sign up for an address in Texas or Florida with the code “texas” or “florida”.\n\nYou can get your address set up in less than 3 minutes [here](https://dashboard.usestable.com/onboard/begin?utm_source=bookface&utm_medium=post&utm_campaign=fl-tx-launch).  \n\nIf you’d like to learn more or have questions, leave a comment, check out our website, or shoot us an email at [hello@useStable.com](mailto:hello@useStable.com).",
        "url": "https://www.ycombinator.com/launches/IWx-stable-a-virtual-business-address-mailbox-now-live-in-texas-and-florida",
        "votes": 20,
        "created_at": "2023-04-27T15:01:13.772Z"
      },
      {
        "id": 64747,
        "title": "📬 Stable: a virtual business address & mailbox (now live in Delaware)",
        "tagline": "Stable provides a permanent business address & virtual mailbox which can be used with the IRS, government entities, banks, and more",
        "body": "Hi all 👋!\n\nWe're Sarah & Collin, the founders of [Stable](https://www.usestable.com/?utm_source=launch-yc&utm_medium=post&utm_campaign=de-launch) and today we’re excited to announce our new address in Dover, Delaware!      \n\n&nbsp;\n\n### **📬 What is Stable?**\n\n[Stable](https://www.usestable.com/?utm_source=launch-yc&utm_medium=post&utm_campaign=de-launch) is a virtual address and mailbox for business — companies like Robinhood, Lugg, and Indiegogo use Stable to maintain their business address, digitize their mailbox, and manage their company from anywhere in the world.\n\nWe work with 100s of YC startups and as part of our DE launch, we're offering $300 off of any plan (or $25 / month) for the first year. Get started [here](https://dashboard.usestable.com/onboard/begin?promoCode=delaware) (more info below). \n\n**Why businesses use Stable:**\n\n🏢 A permanent business address to use with the IRS, government entities, banks, etc\n\n📨 Open, view, forward, and shred your mail securely without physically entering a mailroom\n\n📍 Guidance on compliantly switching your address for taxes, registrations, payroll + more\n\n⚡ Integrations with the tools you love to use (Slack, Drive, etc)\n\n💻 Modern platform with automations, encrypted file storage, optical character recognition, and more\n\nWe make establishing a permanent US business address easy, so you can manage your business from anywhere and never have to worry about changing addresses again.      \n\n&nbsp;\n\n### **🏇Why Delaware?**\n\nSince we’ve launched Stable, we’ve had the opportunity to:\n\n\\- Work with 1000s of businesses across the globe\n\n\\- Process tens of thousands of pieces of mail + packages\n\n\\- Deposit millions of dollars in checks\n\n\\- Launch a Registered Agent service in all 50 states\n\nTo date, we haven’t had a great solution for Delaware businesses that want an address where they are incorporated — whether that be because they are completely distributed, based entirely overseas, or something else. Launching in Delaware changes this and allows us to service almost every venture backed startup :).\n\n&nbsp;\n\n### **💰 Special DE Deal**\n\n\\- Use the referral code “Delaware” to get $25 off / month ($300 annually) for your first year  \n\n\\- Valid for any new DE customer — redeem [here](https://dashboard.usestable.com/onboard/begin?promoCode=delaware)  \n\n\\- Must sign up by July 31, 2022\n\n\\\nIf you’d like to learn more or have questions, leave a comment, check out [our website](https://www.usestable.com/?utm_source=launch-yc&utm_medium=post&utm_campaign=de-launch), or shoot us an email at [hello@useStable.com](mailto:hello@useStable.com) 💌",
        "url": "https://www.ycombinator.com/launches/GqJ-stable-a-virtual-business-address-mailbox-now-live-in-delaware",
        "votes": 71,
        "created_at": "2022-07-20T01:51:13.006Z"
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    "id": 13519,
    "name": "Recall.ai",
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    "long_description": "Recall.ai is the API to get recordings, transcripts, and metadata from meetings. We offer several form factors to capture this data: \r\n1. Meetings bots\r\n2. A desktop recording SDK\r\n3. A mobile recording SDK\r\n\r\nWe integrate with meeting platforms like Zoom, Google Meet, Microsoft Teams, and more, as well as in-person meetings.\r\n\r\nOver 3000 companies rely on our API today to process millions of hours of meeting data. We provide stable infrastructure that typically takes engineering teams 6+ months of time to build, and help our customers get up and running in days instead of months.",
    "one_liner": "The API to get recordings, transcripts, and metadata from meetings",
    "team_size": 30,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1616094217,
    "tags": [
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    "status": "Active",
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    "regions": [
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    "stage": "Growth",
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    "url": "https://www.ycombinator.com/companies/recall-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2020/recall-ai.json",
    "year_founded": 2022,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/recall-ai/",
    "x_url": "https://twitter.com/recallai",
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    "github_url": "https://github.com/recallai/",
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    "primary_partner": {
      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
    },
    "founders": [
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        "user_id": 316225,
        "full_name": "David Gu",
        "title": "Founder",
        "founder_bio": "Co-founder and CEO of Recall.ai",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/david-gu/",
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        "full_name": "Amanda Zhu",
        "title": "Founder",
        "founder_bio": "Co-founder and COO at Recall.ai",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/zhu-amanda/",
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    "jobs": [
      {
        "id": 62373,
        "title": "Developer Experience Engineer [In Person, SF]",
        "url": "https://www.ycombinator.com/companies/recall-ai/jobs/wWqvjDn-developer-experience-engineer-in-person-sf",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
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        "title": "Systems Engineer [In Person, SF]",
        "url": "https://www.ycombinator.com/companies/recall-ai/jobs/B8CE5Xc-systems-engineer-in-person-sf",
        "location": "San Francisco, CA, US / Remote",
        "type": "Full-time",
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        "salary_range": "$265K",
        "equity_range": "0.12%",
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        "visa": "Will sponsor",
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      },
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        "id": 101688,
        "title": "Strategic Customer Success Manager (Founding) ",
        "url": "https://www.ycombinator.com/companies/recall-ai/jobs/vVOdAgx-strategic-customer-success-manager-founding",
        "location": "San Francisco, CA, US",
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        "role": "Sales",
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        "title": "Recall.ai: Unlocking the World’s Conversations",
        "url": "https://www.youtube.com/watch?v=IGXKIL57uwc",
        "date": "Sep 10, 2025"
      },
      {
        "title": "Recall.ai Series B: The API for Meeting Recording",
        "url": "https://www.recall.ai/blog/recall-ai-series-b-the-api-for-meeting-recording",
        "date": "Sep 04, 2025"
      },
      {
        "title": "YC-backed Recall.ai gets $10M Series A to help companies use virtual meeting data | TechCrunch",
        "url": "https://techcrunch.com/2024/05/16/yc-backed-recall-ai-gets-10m-series-a-to-help-companies-utilize-virtual-meeting-data/",
        "date": "May 16, 2024"
      },
      {
        "title": "Recall.ai helps companies make the most of virtual meeting data • TechCrunch",
        "url": "https://techcrunch.com/2022/12/29/recall-ai/",
        "date": "Dec 29, 2022"
      }
    ],
    "launches": [
      {
        "id": 88317,
        "title": "Slack Huddles API by Recall.ai",
        "tagline": "Programmatic access to Slack Huddles data",
        "body": "Hey everyone!\n\nWe just launched an API that lets developers programmatically access Slack Huddles data, making it possible to build apps that capture, analyze, and integrate Slack Huddles conversations.\n\n**Why we built this**\n\nSlack Huddles are great for quick discussions, but they don’t provide a way to retrieve transcripts, recordings, or speaker data. Once a huddle ends, the conversation is gone.\n\n**What developers can build with the Slack Huddle API**\n\nWith a single API call, you can:\n\n* Retrieve transcripts, recordings, and speaker timelines from Slack Huddles\n* Automate workflows for incident management, support escalations, and team handoffs\n* Integrate Slack Huddles data into CRMs, analytics platforms, and knowledge bases\n* Build AI-powered tools for summarization, insights, or search on top of huddle data\n\n**Get access**\n\nCheck out the [Slack Huddles API documentation](https://www.recall.ai/product/slack-huddles-api) and get started [here](https://www.recall.ai/get-started).\n\n![uploaded image](/media/?type=post&id=88317&key=user_uploads/316225/0c06a860-4f67-4669-98c0-3786623228ce)\n\n",
        "url": "https://www.ycombinator.com/launches/MyT-slack-huddles-api-by-recall-ai",
        "votes": 6,
        "created_at": "2025-03-06T21:37:51.273Z"
      },
      {
        "id": 85723,
        "title": "Recall.ai Desktop Recording SDK: Access real-time meeting data without bots 🚫🤖",
        "tagline": "Integrates with Electron applications in under 5 minutes",
        "body": "<https://youtu.be/stsH9jv715g>\n\nToday, we’re excited to introduce the [Recall.ai](https://www.recall.ai) **Desktop Recording SDK**. Built to simplify meeting data integration, this SDK allows you to get the recording, transcript and metadata directly within your desktop app — without the need for bots. Integrates with Electron applications in under 5 minutes to provide live data from platforms like Zoom, Google Meet, and Microsoft Teams.\n\n### **Why we built this**\n\nMany industries have strict compliance requirements that limit the use of bots, and sometimes bots may make people uncomfortable. \n\nTo address this, we developed an SDK that provides direct access to live meeting data, letting you build features that leverage this data, such as:\n\n* Lightweight note-taking\n* Speech coaching\n* Telehealth appointment recorders\n* Financial advisor calls\n* Real-time sales coaching\n\n### **Get started**\n\nCheck out the Desktop Recording SDK documentation [here](https://docs.recall.ai/docs/desktop-sdk-beta) for setup instructions and more details on how to get started.\n\nLet us know your thoughts — we’re eager to hear how the Desktop Recording SDK fits into your app and your use cases.\n\n![uploaded image](/media/?type=post&id=85723&key=user_uploads/316225/d873ac6f-9125-4204-9293-7dbd0cfcfb7b)\n\n",
        "url": "https://www.ycombinator.com/launches/MId-recall-ai-desktop-recording-sdk-access-real-time-meeting-data-without-bots",
        "votes": 20,
        "created_at": "2024-11-20T16:19:22.890Z"
      },
      {
        "id": 85172,
        "title": "Recall.ai: Output Media API - AI agents that talk in meetings 🤖",
        "tagline": "Use our Output Media API to build AI agents that join video conferences on Zoom, Meet, Teams, and Webex.",
        "body": "TLDR - [Recall.ai](https://www.recall.ai)’s Output Media API lets you build AI agents that join video conferences on Zoom, Meet, Teams, and Webex. These agents can output audio and video, listen, and respond like real participants. \n\n<https://youtu.be/YzzzqPpL47o>\n\nToday, we're excited to introduce the Output Media API. With this API, you can easily build live, interactive AI agents that can listen and react to meetings in real time. \n\n### 📈 The Problem and Solution\n\nFor developers, building AI agents have become much easier with APIs like the [OpenAI realtime API](https://openai.com/index/introducing-the-realtime-api/). The difficult part is actually getting your AI agent into a video conference. This is because there are no APIs to send and receive low-latency video streams from Zoom, MS Teams, Google Meet etc.\n\nThe solution is to use a service like [Recall.ai](https://www.recall.ai) which provides an API to create virtual participants that can join video conferences, receive the real-time data from the conference, and display the agent as a participant in the meeting. \n\n### 🤖 AI Agents as a Web App\n\nThe Output Media API works by rendering any web app into ultra-low-latency audio and video, and streaming that into your video conference through a bot.\n\nThis functionality makes it possible to develop AI agents that listen to the meeting audio and react in real-time, in just a few steps:\n\n1. Develop a webpage that listens to and reacts to audio coming from the microphone (e.g. via [getUserMedia](https://developer.mozilla.org/en-US/docs/Web/API/MediaDevices/getUserMedia))\n   * [Recall.ai](http://Recall.ai) sends the mixed audio of the meeting to the webpage microphone so your agent can listen to what’s being said\n2. Send a [Recall.ai](http://Recall.ai) bot to a meeting and configure it to show the webpage you developed\n\n```\n// POST /api/v1/bot/\n{\n  \"meeting_url\": \"https://us02web.zoom.us/j/1234567890\",\n  \"bot_name\": \"Recall.ai Notetaker\",\n  \"output_media\": {\n    \"camera\": {\n      \"kind\": \"webpage\",\n      \"config\": {\n        \"url\": \"https://{YOUR_WEBPAGE_URL}\"\n      }\n    }\n  }\n}\n```\n\n### 🚀 Getting Started:\n\n* Check out our [Output Media Guide](https://docs.recall.ai/docs/stream-media).\n* We’ve built 2 sample apps using Output Media, with walkthroughs of how they’re built.\n  * 💻 [Voice Agent Demo](https://github.com/recallai/voice-agent-demo) lets the bot have a conversation with meeting participants, using OpenAI’s [realtime API](https://openai.com/index/introducing-the-realtime-api/).\n  * 💻 [Real-time Translator](https://github.com/recallai/real-time-translator-demo) displays live meeting translations on screen for a spoken conversation.\n\n![uploaded image](/media/?type=post&id=85172&key=user_uploads/316225/39433a6c-c885-402b-922f-5d477117fde6)\n\n",
        "url": "https://www.ycombinator.com/launches/M9k-recall-ai-output-media-api-ai-agents-that-talk-in-meetings",
        "votes": 13,
        "created_at": "2024-10-31T03:20:30.529Z"
      },
      {
        "id": 75617,
        "title": "Recall.ai — The universal API for meeting bots",
        "tagline": "A single API for meeting bots on Zoom, Google Meet, Microsoft Teams, Slack and more.",
        "body": "Hey all!\n\nWe’re building [Recall.ai](https://www.recall.ai), a single API for you to get meeting data from Zoom, Google Meet, Microsoft Teams, Slack, and more.\n\n![uploaded image](/media/?type=post&id=75617&key=user_uploads/316225/e4c4cc37-13fb-493d-900f-fb8124655197)\n\nThe data you receive includes:\n\n* Video recording\n* Audio recording\n* Transcription\n* Participant names\n* When people spoke in the meeting\n* When people joined/left the meeting\n* When people turned their cameras on/off in the meeting\n* What device someone is joining from\n* …and 10+ more pieces of meeting data.\n\n🎥 [**Click to watch our 2 min demo**](https://www.loom.com/share/60a7500d2a8c40c3b05a88dca376107e)\n\n## The Problem\n\n* Building robust meeting bots takes 1000s of engineering hours.\n* Running the infrastructure is a big operational burden, and complicates your architecture.\n* Companies like Gong have a team of 5 engineers dedicated to running this infrastructure to be stable and scalable.\n* People are building hacky workarounds like bots that screen-record Zoom in a web browser, but this breaks frequently.\n* Some meeting platforms (eg. Google Meet, Slack) don’t even have APIs.\n\n## The Solution\n\nWe provide 1 simple API that abstracts over differences between meeting platforms (even for platforms that don’t have an API). We run, monitor, and scale the complex real-time video infrastructure - so you can focus on building your core product.\n\nThis allows our customers to get into production in a week instead of a year.\n\n## Use Cases\n\nWe work with 150+ companies today that ingest meeting data, like Grain, Apollo.io, BrightHire, Fellow, and more. Some examples of products our customers are building with Recall:\n\n* Meeting productivity tools\n* Sales conversation intelligence tools\n* Interview intelligence tools\n* User research tools\n* Customer success tools\n* Financial advisor tools\n* Virtual deposition tools\n* Meeting translation tools\n* Video editing tools\n* Edtech tools\n\n## Can I try it?\n\nYes! We’d love to have you try [Recall.ai](https://www.recall.ai). Sign up and [get started for free](https://www.recall.ai/signup).",
        "url": "https://www.ycombinator.com/launches/Jfd-recall-ai-the-universal-api-for-meeting-bots",
        "votes": 23,
        "created_at": "2023-10-18T04:13:47.733Z"
      }
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    "id": 13520,
    "name": "borong",
    "slug": "borong",
    "former_names": [
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    "website": "https://www.borong.com/",
    "all_locations": "Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia",
    "long_description": "Our mission is to help local independent retailers find their best-sellers investors by matching them with the right supplier and brands.\r\n\r\nWe believe that today's evolution of the wholesale industry has stifled the growth of many SME businesses. The supply-chain in Malaysia and across Southeast Asia lacks meaningful real-time connectivity between suppliers and retailers. Hence we are determined to transform this industry by providing businesses the right tools to grow.\r\n\r\nOur modern, digital approach to the wholesale industry allows retailers to discover, purchase, and manage inventories for their store - all on a single marketplace platform. And our software tool for suppliers helps businesses to deal with all the pain points of growing customer database, from ordering to payments.\r\n\r\nWith our data-driven approach, we connects local, independent retailers with the right brands, distributors, and wholesalers to stock their store with the best products. This saves retailers and suppliers time and money, allowing them to focus on what's most important: building and running their business.\r\n\r\nborong is headquartered in Kuala Lumpur, Malaysia.",
    "one_liner": "borong is a SaaS-enabled marketplace that connects brands like…",
    "team_size": 80,
    "industry": "B2B",
    "subindustry": "B2B -> Retail",
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    "regions": [
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/borong",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2020/borong.json",
    "year_founded": 2017,
    "city": "Kuala Lumpur",
    "country": "MY",
    "linkedin_url": "https://www.linkedin.com/company/borong-malaysia/",
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        "full_name": "Aizat Rahim",
        "title": "Founder",
        "founder_bio": "I am the managing director of Borong (formerly known as Dropee), a regional B2B eProcurement marketplace with embedded financing funded by YC and top VCs across various countries. Previously, I was the co-founder of Infinite Ventures (2014-2016), a venture-building company that was acquired by US Kern Technology. I also served as the director of Job4Locum, a medical job portal company, from 2014 to 2016, until MIMS acquired it. ",
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        "id": 61440,
        "title": "Full-Stack Developer ",
        "url": "https://www.ycombinator.com/companies/borong/jobs/MzCEKdi-full-stack-developer",
        "location": "Kuala Lumpur, Federal Territory of Kuala Lumpur, MY",
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        "role": "Engineering",
        "role_type": "Full stack",
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        "equity_range": "",
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      },
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        "title": "CTO",
        "url": "https://www.ycombinator.com/companies/borong/jobs/ppFEe5z-cto",
        "location": "Kuala Lumpur, Federal Territory of Kuala Lumpur, MY",
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        "role": "Product",
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    ],
    "news": [
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        "title": "YC alum Dropee, a Malaysia B2B wholesale platform, lands $7M Series A – TechCrunch",
        "url": "https://techcrunch.com/2022/01/19/yc-alum-dropee-a-malaysia-b2b-wholesale-platform-lands-7m-series-a/",
        "date": "Jan 19, 2022"
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    "id": 13523,
    "name": "99minutos",
    "slug": "99minutos",
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    "website": "https://99minutos.com",
    "all_locations": "Mexico City, CDMX, Mexico; Santiago, Santiago Metropolitan Region, Chile; Bogotá, Bogota, Colombia; Lima, Callao Region, Peru",
    "long_description": "We're an e-commerce logistics solution for e-commerce in Latin America.\r\nBuy online and receive it in less than 99 minutes, same day, next day or choose our new green delivery with zero emissions. We deliver within 52 cities in Mexico, 6 in Chile, 6 in Colombia, and 4 in Peru. Flat rate, live tracking, flexible routes, and plugins for every e-commerce.\r\n\r\n\r\n99minutos: Delivery\r\nFulfill99: Fulfillment centers\r\nRuta99: Saas for routing solutions\r\nPunto99: Pudo network",
    "one_liner": "The fastest shipping for online shopping ",
    "team_size": 5000,
    "industry": "B2B",
    "subindustry": "B2B -> Supply Chain and Logistics",
    "launched_at": 1578508388,
    "tags": [
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    "batch": "Winter 2020",
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    "stage": "Growth",
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        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "99minutos idea came when 2 friends and I went to a hookah bar and have some beers. When we got there they told us they ran out of charcoal for the hookah, so we said “We came here for that, is there anywhere we can order and receive it now?”, that is when we realized that the concept of fast delivery for e-commerce didn’t exist not only in mexico but in the world. So next day we launched an e-commerce store called 99minutos where anything you bought there got delivered in less than 99 minutes within mexico city. A couples of months later my 2 friends left the company so i remained as solo founder and the pivot the company, got rid of the e-commerce and focused only in the delivery."
      },
      {
        "question": "How did you decide to apply to Y Combinator? What was your experience applying, going through the batch, and fundraising at demo day?",
        "answer": "Applying to YC was game changer for our company. We applied for W20 even though the company had already 5 years up and running, at the time the company’s value was much higher than the 7% that YC gets if you enter. But at that time as Latin founder it was nearly imposible to raise more than 2M in mexico without external or US funds, so getting in was a strategy to gain traction with VC’s that had more than 2M.The batch was amazing, the group and mentors where great and we raised 5M that we needed in 3 days out of zoom calls and SAFE’s which was absolutely surreal for me. "
      },
      {
        "question": "How have you kept in touch with the YC community and continued to use YC resources & programs since the batch ended?",
        "answer": "We have several chats where all the companies are and everybody get’s in touch through there. Quite easy"
      },
      {
        "question": "What's the history of your company from getting started until the present day? What were the big inflection points?",
        "answer": "We started as an ecommerce 8 years ago trying to solve quick delivery but the ecommerce was the seller that we needed to offer fast delivery, the we decided to get rid of the ecommerce because it was already a market difficult to compete in. We started creating all the technological advances in a delivery experience that non of the huge delivery companies have not even today. 1 year later after creating the base for the company we received a 1M investment from a logistic consultant company…. this is a long story but to make it short we almost went bankrupt for 3 years due to this investor until in 2018 we were able to buy our shared back from them and that is when the company really kicked off. For me those 3 years were the years i most learned of my bad decisions, but it helped the company have great margins due to the fact that our investor was going bankrupt and couldn’t pay us for the sales we made. So 2018 the company grew to chile, started opening more cities and not only operating them locally but also connecting them. 2019 we tried to raise a 5M round already selling more than 5M a year and having positive ebitda, but back in 2019 there where no international investor or at least active for mexico so it was very difficult to raise money, we decided to apply to yc and got in. We raised 5M in 3 days in Safe’e something that was really new for us. 2020 we continued our growth, 2021 we raised 25M from kaszek and Prosus, opened 4 more verticals: fulfill99, ruta99, punto99 and Cash99. 2022 we raised 82M from Oak hcSo now we have operations in 4 countries, more than 70 cities combined, more than 8k employees, still growing 3X every year ."
      },
      {
        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "Have a prime experience in any logistical solution from your ecommerce. At first is was just fast, cheap and reliable, when we launch the average delivery time in mexico was 12 days. Now most companies have fast delivery but 99minutos give the entire logistics circle for ecommerce so you can give your customers a amazon prime style delivery without selling in those marketplaces. Where we will handle their inventory, delivery in hours, full visibility, more drop off pick up points than all delivery companies combined, we offer cash on delivery, saas for routing tools, etc."
      },
      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "Being the best ecommerce logistics solution in latin america. When we succeed we will have first world solution for a 3rd world coountries."
      }
    ],
    "url": "https://www.ycombinator.com/companies/99minutos",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2020/99minutos.json",
    "year_founded": 2014,
    "city": "Mexico City",
    "country": "MX",
    "linkedin_url": "https://www.linkedin.com/company/8061652/admin/",
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    "cb_url": "https://www.crunchbase.com/organization/99-minutos",
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        "full_name": "Alexis Patjane",
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        "title": "Strategic Finance Lead",
        "url": "https://www.ycombinator.com/companies/99minutos/jobs/jhG9Z0c-strategic-finance-lead",
        "location": "Mexico City, CDMX, MX",
        "type": "Full-time",
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        "salary_range": "$30K - $42K",
        "equity_range": "0.10%",
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        "url": "https://techcrunch.com/2022/03/02/99minutos-logistics-infrastructure-latin-america/",
        "date": "Mar 02, 2022"
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        "date": "Jun 07, 2021"
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    "id": 13532,
    "name": "Living Carbon",
    "slug": "living-carbon",
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    "website": "https://www.livingcarbon.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "transforming degraded land into high quality environmental assets using end to end operational expertise and precision breeding.",
    "one_liner": "maximizing biomass on low quality land",
    "team_size": 40,
    "industry": "Industrials",
    "subindustry": "Industrials -> Climate",
    "launched_at": 1628292917,
    "tags": [
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      "Agriculture"
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    "nonprofit": false,
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    "status": "Active",
    "industries": [
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    ],
    "regions": [
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      "Remote",
      "Partly Remote"
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    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/living-carbon",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2020/living-carbon.json",
    "year_founded": 2019,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/living-carbon",
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        "full_name": "Maddie Hall",
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        "linkedin_url": "https://www.linkedin.com/in/maddie-hall-76293135/",
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        "title": "Living Carbon Announces Agreement with Microsoft for 1.4 Million Tonnes of Carbon Removal from Reforestation of Former Mine Lands in Appalachia",
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    "name": "Belvo",
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    "website": "https://belvo.com",
    "all_locations": "São Paulo, SP, Brazil",
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    "one_liner": "Open Finance API platform for Latam.",
    "team_size": 100,
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    "year_founded": 2019,
    "city": "São Paulo",
    "country": "BR",
    "linkedin_url": "https://www.linkedin.com/company/belvofinance",
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        "full_name": "Oriol Tintore",
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        "title": "Belvo secures $15 million in new round of funding to power the next phase of Open Finance growth in Latin America - Belvo",
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        "date": "Apr 16, 2025"
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    "id": 13620,
    "name": "LFcarry",
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        "title": "Software Engineer, Core Infrastructure (Mid-Senior level) ",
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        "title": "Senior Technical Enablement Manager",
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        "title": "Senior Manager, Commercial Sales",
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        "id": 115079,
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        "title": "Senior ERP Solutions Consultant ",
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        "id": 115081,
        "title": "Technical Solutions Consultant - AUS",
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        "type": "Full-time",
        "role": "Operations",
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      {
        "id": 115082,
        "title": "Senior Software Engineer, Developer Platform",
        "url": "https://www.ycombinator.com/companies/zip/jobs/TpHIETh-senior-software-engineer-developer-platform",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
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      {
        "id": 115084,
        "title": "Solution Integrations Architect - Oracle ",
        "url": "https://www.ycombinator.com/companies/zip/jobs/xFs4S2T-solution-integrations-architect-oracle",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
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        "id": 115085,
        "title": "Solutions Integration Architect - SAP Ariba",
        "url": "https://www.ycombinator.com/companies/zip/jobs/He4tCmj-solutions-integration-architect-sap-ariba",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
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        "experience": "Any (new grads ok)",
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        "skills": []
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        "id": 115086,
        "title": "Solutions Integration Architect - SAP",
        "url": "https://www.ycombinator.com/companies/zip/jobs/sucnx2Y-solutions-integration-architect-sap",
        "location": "London",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
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        "skills": []
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      {
        "id": 115087,
        "title": "Software Engineer, Core Infrastructure (Mid-Senior level) ",
        "url": "https://www.ycombinator.com/companies/zip/jobs/kGrxxcy-software-engineer-core-infrastructure-mid-senior-level",
        "location": "Toronto",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
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        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
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        "id": 115088,
        "title": "Enterprise Architect",
        "url": "https://www.ycombinator.com/companies/zip/jobs/lxQWpuQ-enterprise-architect",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
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        "skills": []
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        "id": 115089,
        "title": "Principal Product Manager, AI",
        "url": "https://www.ycombinator.com/companies/zip/jobs/SIgnRMD-principal-product-manager-ai",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Product",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "8+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115091,
        "title": "Solution Architect - Oracle",
        "url": "https://www.ycombinator.com/companies/zip/jobs/kUWHhwd-solution-architect-oracle",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
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        "skills": []
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      {
        "id": 115092,
        "title": "Solutions Integration Architect - SAP Ariba",
        "url": "https://www.ycombinator.com/companies/zip/jobs/1p1RcKw-solutions-integration-architect-sap-ariba",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
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        "experience": "Any (new grads ok)",
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        "skills": []
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        "id": 115095,
        "title": "Marketing Development Representative",
        "url": "https://www.ycombinator.com/companies/zip/jobs/Bljjhn6-marketing-development-representative",
        "location": "London",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 115096,
        "title": "Senior Solutions Consultant - Project Manager",
        "url": "https://www.ycombinator.com/companies/zip/jobs/LRJJVpx-senior-solutions-consultant-project-manager",
        "location": "London",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 115097,
        "title": "VP, Namer Strategic Sales",
        "url": "https://www.ycombinator.com/companies/zip/jobs/68oxhZO-vp-namer-strategic-sales",
        "location": "New York City / Remote - Jacksonville / Remote - Washington DC / Remote - Philadelphia / Remote - Charlotte / Remote - Atlanta / Remote - Boston",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
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        "id": 115099,
        "title": "Senior Product Designer, Global Payments",
        "url": "https://www.ycombinator.com/companies/zip/jobs/gDwTlH3-senior-product-designer-global-payments",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Design",
        "role_type": "Web design",
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
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        "id": 115100,
        "title": "Head of Business Data",
        "url": "https://www.ycombinator.com/companies/zip/jobs/gWrQrPH-head-of-business-data",
        "location": "San Francisco / New York City",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
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        "id": 115101,
        "title": "Solutions Director",
        "url": "https://www.ycombinator.com/companies/zip/jobs/4iosHNt-solutions-director",
        "location": "London",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
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        "id": 115102,
        "title": "Marketing Development Representative",
        "url": "https://www.ycombinator.com/companies/zip/jobs/DsIVEpP-marketing-development-representative",
        "location": "Australia",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "",
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        "experience": "Any (new grads ok)",
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        "skills": []
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        "id": 115103,
        "title": "Enterprise Account Executive",
        "url": "https://www.ycombinator.com/companies/zip/jobs/HnfwJWS-enterprise-account-executive",
        "location": "Remote - Dallas / Remote - Houston / Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
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        "skills": []
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        "id": 115104,
        "title": "Enterprise Account Executive - Southeast",
        "url": "https://www.ycombinator.com/companies/zip/jobs/pJJIQ8J-enterprise-account-executive-southeast",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
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        "skills": []
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      {
        "id": 115105,
        "title": "Business Development Representative",
        "url": "https://www.ycombinator.com/companies/zip/jobs/7HtuIE9-business-development-representative",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
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        "id": 115106,
        "title": "Strategic Account Executive - East Coast",
        "url": "https://www.ycombinator.com/companies/zip/jobs/ZYrR4KA-strategic-account-executive-east-coast",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
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        "id": 115107,
        "title": "Strategic Account Executive - Central ",
        "url": "https://www.ycombinator.com/companies/zip/jobs/0BWbEjm-strategic-account-executive-central",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 115108,
        "title": "Demo Engineer",
        "url": "https://www.ycombinator.com/companies/zip/jobs/nVAcZNt-demo-engineer",
        "location": "London",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
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        "id": 115109,
        "title": "Solutions Manager",
        "url": "https://www.ycombinator.com/companies/zip/jobs/2GkIrhz-solutions-manager",
        "location": "London",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 115110,
        "title": "Head of InfoSec and IT Ops",
        "url": "https://www.ycombinator.com/companies/zip/jobs/NGkJXpk-head-of-infosec-and-it-ops",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
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        "id": 115111,
        "title": "Commercial Account Manager",
        "url": "https://www.ycombinator.com/companies/zip/jobs/r7RI5RT-commercial-account-manager",
        "location": "Toronto",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 115112,
        "title": "Commercial Account Manager",
        "url": "https://www.ycombinator.com/companies/zip/jobs/r7sT1Sn-commercial-account-manager",
        "location": "New York City",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
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        "id": 115114,
        "title": "Commercial Account Executive",
        "url": "https://www.ycombinator.com/companies/zip/jobs/ksVqB9T-commercial-account-executive",
        "location": "London",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 115115,
        "title": "Senior ERP Solutions Consultant",
        "url": "https://www.ycombinator.com/companies/zip/jobs/g8iBcLV-senior-erp-solutions-consultant",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 115116,
        "title": "Business Development Representative",
        "url": "https://www.ycombinator.com/companies/zip/jobs/dzNMSq1-business-development-representative",
        "location": "Toronto",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
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        "id": 115117,
        "title": "Senior / Principal Product Manager, Contract Orchestration",
        "url": "https://www.ycombinator.com/companies/zip/jobs/wDewwx3-senior-principal-product-manager-contract-orchestration",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Product",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "8+ years",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 115118,
        "title": "Product Operations Manager",
        "url": "https://www.ycombinator.com/companies/zip/jobs/0phqQHm-product-operations-manager",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
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        "id": 115119,
        "title": "GTM Strategy & Operations Manager, Pre-Sales",
        "url": "https://www.ycombinator.com/companies/zip/jobs/P6v20iH-gtm-strategy-operations-manager-pre-sales",
        "location": "New York City",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
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        "id": 115120,
        "title": "GTM Strategy & Operations Manager, Post-Sales",
        "url": "https://www.ycombinator.com/companies/zip/jobs/cVgyFYe-gtm-strategy-operations-manager-post-sales",
        "location": "San Francisco / New York City",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 115121,
        "title": "Enterprise Account Executive",
        "url": "https://www.ycombinator.com/companies/zip/jobs/VZS1TSn-enterprise-account-executive",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
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        "id": 115122,
        "title": "GTM Strategy & Operations Manager, Post-Sales",
        "url": "https://www.ycombinator.com/companies/zip/jobs/H5uMWy6-gtm-strategy-operations-manager-post-sales",
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        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
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        "id": 115123,
        "title": "Recruiting Coordinator",
        "url": "https://www.ycombinator.com/companies/zip/jobs/85yboNY-recruiting-coordinator",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Recruiting & HR",
        "role_type": "Recruiter",
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115124,
        "title": "Staff Product Designer, AI Agents & Chat",
        "url": "https://www.ycombinator.com/companies/zip/jobs/ckPFvc9-staff-product-designer-ai-agents-chat",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Design",
        "role_type": "Web design",
        "salary_range": "",
        "equity_range": "",
        "experience": "8+ years",
        "visa": "US citizen/visa only",
        "skills": []
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        "id": 115125,
        "title": "Product Designer, Contract Orchestration",
        "url": "https://www.ycombinator.com/companies/zip/jobs/rA6SA53-product-designer-contract-orchestration",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Design",
        "role_type": "Web design",
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
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        "id": 115126,
        "title": "Senior Product Designer",
        "url": "https://www.ycombinator.com/companies/zip/jobs/RcE6ynZ-senior-product-designer",
        "location": "New York City",
        "type": "Full-time",
        "role": "Design",
        "role_type": "Web design",
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
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        "id": 115127,
        "title": "Senior Product Designer",
        "url": "https://www.ycombinator.com/companies/zip/jobs/HYFxx6Q-senior-product-designer",
        "location": "Toronto",
        "type": "Full-time",
        "role": "Design",
        "role_type": "Web design",
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 115128,
        "title": "Lead Product Marketing Manager, Compete",
        "url": "https://www.ycombinator.com/companies/zip/jobs/Uo0Vz3M-lead-product-marketing-manager-compete",
        "location": "San Francisco / New York City",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 115129,
        "title": "Principal Business Value Consultant",
        "url": "https://www.ycombinator.com/companies/zip/jobs/oamNuH2-principal-business-value-consultant",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "8+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115130,
        "title": "Account Manager",
        "url": "https://www.ycombinator.com/companies/zip/jobs/ZvI2hYJ-account-manager",
        "location": "London",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115131,
        "title": "Software Engineer, Forward Deployed (Mid - Senior Level)",
        "url": "https://www.ycombinator.com/companies/zip/jobs/kY2Jqru-software-engineer-forward-deployed-mid-senior-level",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 115133,
        "title": "Strategic Account Executive",
        "url": "https://www.ycombinator.com/companies/zip/jobs/l2wWsQB-strategic-account-executive",
        "location": "London",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115134,
        "title": "Senior Commercial Sales Manager, Account Executive/Account Management",
        "url": "https://www.ycombinator.com/companies/zip/jobs/BXTlhjF-senior-commercial-sales-manager-account-executive-account-management",
        "location": "London",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115135,
        "title": "Director of EMEA Field Marketing",
        "url": "https://www.ycombinator.com/companies/zip/jobs/MBsFV0Y-director-of-emea-field-marketing",
        "location": "London",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115136,
        "title": "Senior Customer Success Manager - Technical Account Management",
        "url": "https://www.ycombinator.com/companies/zip/jobs/NdGk81Z-senior-customer-success-manager-technical-account-management",
        "location": "Toronto",
        "type": "Full-time",
        "role": "Support",
        "role_type": null,
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    "website": "https://explorex.co",
    "all_locations": "Bengaluru, KA, India",
    "long_description": "Explorex — The Memory Layer for Physical Commerce\r\n\r\n~90% of Indian retail happens in person, yet offline venues have no memory of their customers. Restaurants run on disconnected tools, and every visit ends with zero data captured. Explorex fixes this by owning both sides of the dining transaction.\r\n\r\nAt the center is Elite, our consumer app that is redefining how people dine out. Diners see live table availability, browse dynamic menus, order, and self-checkout instantly — no waiting, no interruptions. Behind it sits our infrastructure stack: Bridge OS (the full-stack restaurant operating system), Clyro (WhatsApp-native CRM), and ReserveX — all feeding a single behavioral data layer.\r\n\r\nThat data layer is what makes Explorex fundamentally different. Delivery platforms only see orders. We capture real-world, in-venue behavior — what people order, how long they stay, how groups behave, how menus perform, how experiences shape spending. Because we operate the restaurant OS and the consumer touchpoint, this data is irreplicable.\r\n\r\nWe're now building Elara, an AI dining concierge that turns this data into real-time decision-making — factoring intent, context, availability, and historical behavior. This moves us beyond discovery into becoming the intelligence layer for offline commerce.\r\n\r\nToday, Explorex powers 250+ partner restaurants and 3M+ diners across Bangalore and Hyderabad, processing 8M+ transactions annually (18M+ lifetime), and operates at breakeven.\r\n\r\nExplorex is not a SaaS tool — it is the infrastructure layer for offline dining, with AI and consumer experience at its core. Think Shopify for restaurants, on its way to becoming the UPI of restaurant operations.",
    "one_liner": "Ecosystem Platform for Restaurants in India",
    "team_size": 25,
    "industry": "Consumer",
    "subindustry": "Consumer",
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    "tags": [
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      "Consumer"
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    "question_answers": [
      {
        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "Pritam and I met at IIT Kharagpur and became close friends long before we became co-founders. What pulled us into building together was a shared frustration: the biggest problems around us weren't hidden — they were so normalized that nobody saw them anymore.\r\n\r\nDining out was the perfect example. Waving down staff to order, waiting for the bill, restaurants running on disconnected tools with zero memory of their customers — everyone had accepted this as just \"how restaurants work.\" We couldn't unsee it. The entire offline dining experience was broken, and because it had always been broken, no one was fixing it.\r\n\r\nWe decided to become founders because these status-quo problems don't get solved by incumbents — they require someone naive enough to question the default. That conviction became Explorex."
      },
      {
        "question": "How did you decide to apply to Y Combinator? What was your experience applying, going through the batch, and fundraising at demo day?",
        "answer": "We decided to Apply to YC because we were very much inspired by Airbnb. We applied 4 times total and got rejected 3 times, each of those rejections only kept making us better and helped us understand our business and customers better."
      },
      {
        "question": "How have you kept in touch with the YC community and continued to use YC resources & programs since the batch ended?",
        "answer": "Yes."
      },
      {
        "question": "What's the history of your company from getting started until the present day? What were the big inflection points?",
        "answer": "We have come a long way, became profitable, seen every phase succeed so far. "
      },
      {
        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "\\~90% of Indian retail happens in person, yet offline venues have no memory of their customers. A restaurant that has served someone fifty times knows less about them than an e-commerce site they visited once. This is the core problem: offline commerce is data-blind.\r\n\r\nFor restaurants, this means running on disconnected tools — one system for billing, another for reservations, spreadsheets for everything else — with no way to know who their customers are, what they love, or why they stopped coming. For diners, it means friction everywhere: flagging down staff to order, waiting for the bill, and a dining experience that hasn't fundamentally changed in decades.\r\n\r\nIt's a big problem because of the sheer scale of what's being left on the table. Food services in India is a massive market, and it operates with almost none of the intelligence that transformed online commerce. Delivery platforms captured the \\~10% of eating that happens at home; the 90% that happens inside venues remains a black box.\r\n\r\nWe decided to work on it because the problem was obvious but invisible — it had been the status quo for so long that nobody questioned it. We realized that solving it requires owning both sides: the restaurant's operating system and the consumer's touchpoint. That's hard, which is exactly why it hasn't been done — and why it becomes an irreplicable moat once you do."
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        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "Our vision is to build the memory layer for physical commerce — starting with dining.\r\n\r\nIf we truly succeed, walking into a restaurant will feel like the internet already works: the venue knows you, the experience is personalized, ordering and paying are frictionless, and an AI concierge (Elara) guides you to the best possible experience before you even decide where to go. Discovery, decision, and transaction collapse into one intelligent layer.\r\n\r\nFor restaurants, success means every independent venue in India operates with the data sophistication of an e-commerce giant — understanding their customers, optimizing their menus, and reaching high-intent diners directly instead of renting them from aggregators at punishing take rates. Think Shopify for restaurants: infrastructure that makes the merchant more powerful, not more dependent.\r\n\r\nAnd dining is just the beachhead. The same problem — physical venues with no memory of their customers — exists across all of offline retail. If we win dining, we become the intelligence layer for offline commerce broadly: the UPI of physical retail operations, a shared infrastructure that makes the real world as smart as the digital one.\r\n\r\nThe world that results is one where the 90% of commerce that happens in person is no longer invisible — where physical businesses finally compete on equal footing with digital ones."
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        "full_name": "Mainak Sarkar",
        "title": "Founder/CEO",
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        "url": "https://www.ycombinator.com/companies/explorex/jobs/vDCZJJr-graphic-designer",
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        "url": "https://yourstory.com/2022/05/explorex-revolutionise-restaurant-industry-full-stack-solution/amp",
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      {
        "title": "The Generative AI Revolution Is Creating The Next Phase Of Autonomous Enterprise",
        "url": "https://www.forbes.com/sites/markminevich/2023/01/29/the-generative-ai-revolution-is-creating-the-next-phase-of-autonomous-enterprise/?sh=7ef0c6ba1bc1",
        "date": "Jan 29, 2023"
      },
      {
        "title": "The dawn of creative AI: How this startup is revolutionising the industry",
        "url": "https://e27.co/the-dawn-of-creative-ai-how-this-block71-startup-is-revolutionising-the-creative-industry-20210202/",
        "date": "Nov 26, 2022"
      }
    ],
    "launches": []
  },
  {
    "id": 21885,
    "name": "Swif.ai",
    "slug": "swif-ai",
    "former_names": [
      "BlaBla EdTech",
      "BlaBla Live",
      "Swifteam",
      "Inc.",
      "Swifteam",
      "Swif"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3f00f6931229f64701cd737b9839f92f72e20005.png",
    "website": "https://www.swif.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Swif.ai is the Unified Agent & Endpoint Management (UAEM)\r\n\r\nManage every device. Govern every AI agent.\r\n\r\nOne control plane for device management, AI-agent governance, continuous enforcement, and autonomous remediation.",
    "one_liner": "Manage every device. Govern every AI agent.",
    "team_size": 20,
    "industry": "B2B",
    "subindustry": "B2B -> Security",
    "launched_at": 1597360094,
    "tags": [
      "SaaS",
      "B2B",
      "Compliance",
      "Security",
      "Enterprise"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2020",
    "status": "Active",
    "industries": [
      "B2B",
      "Security"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": [
      {
        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "We have 10 people on the team. I was the co-founder of LeadIQ, the leading sales intelligence platform. I managed a fast-growing team of 50 remote employees and onboarded everyone while creating a platform that handled millions of dollars every year. Mert is the CTO and he has over 10 years of experience building device security. Mert and I have both experienced issues of device security and Mert has been building a similar solution for the past 5 years. Jeremy is our sales. He was a former YC founder and recently joined us to drive our sales. He used to host virtual YC demo days."
      },
      {
        "question": "How did you decide to apply to Y Combinator? What was your experience applying, going through the batch, and fundraising at demo day?",
        "answer": "Our batch mentor guided us on product iteration and helped us with pitch practices. We genuinely appreciate Tim, Aaron, and Kevin’s mentorship to help us grow!"
      },
      {
        "question": "How have you kept in touch with the YC community and continued to use YC resources & programs since the batch ended?",
        "answer": "We worked with many YC companies to help with their device management and compliance needs. We also launched our own YC deal to help new YC batch companies can quickly ramp up their remote device management."
      },
      {
        "question": "What's the history of your company from getting started until the present day? What were the big inflection points?",
        "answer": "In 2022, we discovered the power of ChatGPT and realized that we can leverage its platform to simplify device management and remote employee management. This was the pivot point of our product."
      },
      {
        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "Swif is revolutionizing device security with AI,  we are the first to eliminate the Shadow IT problem—empowering businesses with complete control, visibility, and security."
      },
      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "Revolutionizing device security with AI, we are the first to eliminate the Shadow IT problem—empowering businesses with complete control, visibility, and security."
      }
    ],
    "url": "https://www.ycombinator.com/companies/swif-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2020/swif-ai.json",
    "year_founded": 2022,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://linkedin.com/company/swifai",
    "x_url": "https://twitter.com/swif_ai",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3f00f6931229f64701cd737b9839f92f72e20005.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [
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    ],
    "primary_partner": null,
    "founders": [
      {
        "user_id": 28055,
        "full_name": "Angelo (KC) Huang",
        "title": "Founder",
        "founder_bio": "Swif.ai is the Security & Compliance UEM.\n\nEvery other MDM is great if you have basic requirements, but if you have security concerns and real compliance requirements, you need something more sophisticated that can handle that.\n\nSwif UEM for when you have real security and compliance concerns.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/angelokh",
        "x_url": "https://twitter.com/angeloh",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ec27dd6866a09d79b48f7388daef8f230c28296f.jpg"
      }
    ],
    "jobs": [
      {
        "id": 45031,
        "title": "Backend Developer (Scala/Java)",
        "url": "https://www.ycombinator.com/companies/swif-ai/jobs/VoDI7UY-backend-developer-scala-java",
        "location": "Taiwan / United States / Canada / Singapore / VN / ID / Remote (Taiwan; United States; Canada; Singapore; VN; ID)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$40K - $70K",
        "equity_range": "0.10% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": [
          "Java",
          "MongoDB",
          "Python",
          "Redis",
          "Scala",
          "Docker"
        ]
      },
      {
        "id": 49868,
        "title": "DevOps Engineer",
        "url": "https://www.ycombinator.com/companies/swif-ai/jobs/094hpfh-devops-engineer",
        "location": "Taiwan / VN / ID / TR / Remote (Taiwan; VN; ID; TR)",
        "type": "Contract",
        "role": "Engineering",
        "role_type": "Devops",
        "salary_range": "$30K - $50K",
        "equity_range": "0.10% - 0.50%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Amazon Web Services (AWS)",
          "Git",
          "Google Cloud",
          "Kubernetes",
          "Docker"
        ]
      },
      {
        "id": 50579,
        "title": "Frontend Engineer (Vue, Browser Extensions, AI Agent)",
        "url": "https://www.ycombinator.com/companies/swif-ai/jobs/aDnRu3L-frontend-engineer-vue-browser-extensions-ai-agent",
        "location": "TW / CA / VN / JP / KR / ID / Remote (TW; CA; VN; JP; KR; ID)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Frontend",
        "salary_range": "$40K - $60K",
        "equity_range": "0.10% - 0.50%",
        "experience": "1+ years",
        "visa": "US citizenship/visa not required",
        "skills": [
          "CSS",
          "HTML",
          "JavaScript",
          "React",
          "Vue.js"
        ]
      },
      {
        "id": 53124,
        "title": "Backend Engineer (Golang)",
        "url": "https://www.ycombinator.com/companies/swif-ai/jobs/bAPaF28-backend-engineer-golang",
        "location": "TW / US / CA / SG / ID / VN / MY / TR / Remote (TW; US; CA; SG; ID; VN; MY; TR)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$40K - $70K",
        "equity_range": "0.10% - 0.25%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": [
          "Go",
          "Distributed Systems"
        ]
      },
      {
        "id": 55001,
        "title": "Software Testing Engineer (QA)",
        "url": "https://www.ycombinator.com/companies/swif-ai/jobs/rm6wwJu-software-testing-engineer-qa",
        "location": "TW / VN / Remote (TW; VN)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "QA engineer",
        "salary_range": "$30K - $50K",
        "equity_range": "0.10% - 0.50%",
        "experience": "1+ years",
        "visa": "US citizenship/visa not required",
        "skills": [
          "GraphQL",
          "Linux",
          "Windows",
          "MacOS"
        ]
      },
      {
        "id": 55966,
        "title": "Full-Cycle Sales AE",
        "url": "https://www.ycombinator.com/companies/swif-ai/jobs/9H1KM0B-full-cycle-sales-ae",
        "location": "Sunnyvale, CA, US / Remote (US)",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$30K - $60K",
        "equity_range": "0.50% - 1.00%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 61955,
        "title": "Sales Intern [Summer 2026]",
        "url": "https://www.ycombinator.com/companies/swif-ai/jobs/iz7AKOn-sales-intern-summer-2026",
        "location": "US / Remote (US)",
        "type": "Internship",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$300 - $1K",
        "equity_range": "0.01%",
        "experience": null,
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 62132,
        "title": "Full Stack Software Engineer Intern [Summer 2026]",
        "url": "https://www.ycombinator.com/companies/swif-ai/jobs/dcyipuS-full-stack-software-engineer-intern-summer-2026",
        "location": "US / TW / Remote (US; TW)",
        "type": "Internship",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$500 - $2K / monthly",
        "equity_range": "0.01%",
        "experience": null,
        "visa": "US citizen/visa only",
        "skills": [
          "Linux",
          "Windows",
          "MacOS"
        ]
      },
      {
        "id": 77904,
        "title": "Sales Development Representative (SDR)",
        "url": "https://www.ycombinator.com/companies/swif-ai/jobs/lbbQXJj-sales-development-representative-sdr",
        "location": "US / CA / Remote (US; CA)",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$40K - $80K",
        "equity_range": "0.01%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "What's New: TrustClaw Consumer Onboarding",
        "url": "https://feedback.swif.ai/changelog/whats-new-trustclaw-consumer-onboarding",
        "date": "Jun 23, 2026"
      },
      {
        "title": "TrustClaw Enterprise Onboarding",
        "url": "https://feedback.swif.ai/changelog/trustclaw-enterprise-onboarding",
        "date": "Jun 23, 2026"
      },
      {
        "title": "Founder Note: Swif.ai Statement on Stryker's Microsoft Intune MDM Attacks Wiping 200,000 devices",
        "url": "https://news.swif.ai/p/founder-note-swif-statement-on-the-stryker-intune-attacks-wiping-200-000-devices",
        "date": "Mar 22, 2026"
      },
      {
        "title": "Swif.ai Is Now Live in the EU 🇪🇺 — EU Data Residency Is Here",
        "url": "https://news.swif.ai/p/swif-ai-is-now-live-in-the-eu-eu-data-residency-is-here",
        "date": "Mar 16, 2026"
      },
      {
        "title": "The Stryker Wipe: What 200,000 Lost Devices Teach Us About MDM Blast Radius Protection | Swif",
        "url": "https://www.swif.ai/blog/stryker-wipe-lessons-about-mdm-blast-radius-protection",
        "date": "Mar 13, 2026"
      }
    ],
    "launches": [
      {
        "id": 84069,
        "title": "Swif: Solve Shadow IT with our Chrome extension",
        "tagline": "Gain full control over Shadow IT—track, secure, and manage unauthorized apps with ease using Swif's Chrome Extension.",
        "body": "![uploaded image](/media/?type=post&id=84069&key=user_uploads/28055/554bc23e-0c52-44e5-b8e5-d956361fc467)\n\nHey, YC community! We’re the team at [Swif](https://www.swif.ai?utm_source=yclaunch), and we're excited to introduce our **Swif Chrome Extension**, designed to solve the growing issue of Shadow IT in organizations. As businesses scale, it's easy for employees to start using unauthorized SaaS apps, creating security and compliance risks that IT teams struggle to monitor.\n\n**What’s the problem?** Shadow IT refers to apps and services used by employees without IT’s knowledge or approval. This often leads to unmonitored data access, increasing the risk of breaches, non-compliance, and lost productivity. Even well-managed IT teams find it hard to track all software being used across departments.\n\n**How does Swif’s Chrome Extension fix this?** Our Chrome Extension helps you automatically identify and monitor employee access to unauthorized SaaS apps. With **real-time visibility**, Swif detects email and password sign-ups to unapproved apps, enabling IT teams to track usage, ensure compliance, and take action quickly—before a security risk escalates. The extension fits seamlessly into your existing IT workflow, providing a single dashboard for comprehensive oversight.\n\nSwif’s strength lies in its automation. Instead of manually hunting down unapproved apps, our extension monitors usage, generates compliance reports, and offers automated solutions for securing access. This gives you control without adding complexity, saving both time and resources.\n\n![uploaded image](/media/?type=post&id=84069&key=user_uploads/28055/13b44543-ebbc-4d61-ad14-5dd5150a1dd1)\n\n**Why did we build it?** The idea came from our experience working with companies overwhelmed by Shadow IT problems. We saw firsthand how much of a challenge it is to maintain visibility over what employees are using, especially in remote and hybrid work environments. Our mission was to create a tool that does the heavy lifting for IT departments, making it easier to manage without sacrificing security or efficiency.\n\n**What’s next?** We’re excited to offer early access to the Swif Chrome Extension! If you’re managing a fleet of devices or overseeing IT security, sign up to be among the first to try our solution and take control of Shadow IT.\n\n**Call to Action**: Ready to tackle Shadow IT? [Create a Swif account](https://app.swif.ai/chromeextension?utm_source=yclaunch), download the extension, and start managing your apps with ease!",
        "url": "https://www.ycombinator.com/launches/Lrx-swif-solve-shadow-it-with-our-chrome-extension",
        "votes": 6,
        "created_at": "2024-09-17T02:14:17.061Z"
      },
      {
        "id": 70930,
        "title": "Swif.ai - Compliance-First Device Security",
        "tagline": "The YC's Get Start Package for MDM & Compliance Automation",
        "body": "### **⛔️The problem**\n\n1. Fragmented device management across multiple operating systems and locations.\n2. Time-consuming manual compliance checks and reporting for various regulatory standards.\n3. Inefficient onboarding and offboarding processes for remote and global teams.\n4. Lack of visibility into shadow IT and unauthorized SaaS application usage.\n\n### **🚀The solution**\n\n[Swif.ai](http://Swif.ai) offers a comprehensive solution for device security, compliance management, and IT administration across Linux, Windows, and macOS. It automates patch management for various compliance frameworks, provides real-time compliance status reports, and enables remote device control. Swif's all-in-one platform integrates with HR systems, simplifying employee onboarding and offboarding processes while offering cost-effective access management compared to traditional SSO solutions.\n\n**Customer Benefits**\n\n1. Unified visibility and control over all organizational devices, regardless of operating system or location.\n2. Significant time savings through automated compliance readiness checks and real-time reporting.\n3. Enhanced security posture with the ability to instantly lock or wipe compromised devices remotely.\n4. Reduced IT overhead by consolidating device management, access control, and compliance tools into a single platform.\n\n### **🛠️How it works**\n\nThe setup is extremely easy. Here is 1 min get started video.\n\n![uploaded image](/media/?type=post&id=70930&key=user_uploads/28055/12d9aeea-cdbe-4734-a6d9-441a31135956)\n\n### **✅Our asks**\n\n* Check out our [**website**](https://www.swif.ai) – play around with our **interactive demo**\n* [**Sign up**](https://app.swif.ai/) and use Swif — it’s free.\n* [**Reach out**](https://www.swif.ai/) if you’re interested in a live demo",
        "url": "https://www.ycombinator.com/launches/IS2-swif-ai-compliance-first-device-security",
        "votes": 17,
        "created_at": "2023-04-13T00:24:25.556Z"
      },
      {
        "id": 66625,
        "title": "Swif - One-stop device management and security",
        "tagline": "Order, equip, manage your devices for your distributed teams",
        "body": "Hello, everyone! This is [Angelo](https://www.linkedin.com/in/angelokh/) here to introduce [Swif](https://www.swif.ai?utm_source=yc&utm_medium=launch&utm_campaign=yc_launch)!\n\n❌ **The Problem**\n\nIn my last startup LeadIQ, I managed 2 remote teams in the US and Singapore. It was really painful to manage devices and cloud app access for employees in different locations. We wanted a better understanding of company devices and employee’s cloud app access, and we used a giant Excel sheet to solve this problem, only to find that the solution can not scale. We took time to find solutions to set up, configure, and then discover that the capabilities of each solution were incomplete or buggy. Companies were wasting money and time. The challenges were real, painful and increased company risks. Employee onboarding and offboarding were a nightmare.\n\n✨ **Our Solution**\n\nSwif helps distributed teams manage their devices, purchase new ones, and retrieve them when employees leave the company. \n\n![uploaded image](/media/?type=post&id=66625&key=user_uploads/28055/4b87f21a-cf0d-4381-b7ba-286c4c293b40)\n\nWhy do we need a new solution for device management?\n\nYou might work in California but have team members distributed in Texas, New York, Paris, and Singapore. Things like these might occur to you:\n\n1. Sending, retrieving, and storing devices for remote teams is painful. \n2. Losing data for security risks could keep you up at night.\n3. Employee data is across multiple platforms, eg. Gusto and Deel, and have no audit trails of who owns which devices.\n\n👉 **Next steps**\n\n1. Sign up for [Swif](https://www.swif.ai?utm_source=yc&utm_medium=launch&utm_campaign=yc_launch) and subscribe with promo code ‘ycdeal’ to enjoy one-year free premium features.\n2. Import your employees from your HRIS. We currently support 30 HRIS connections!\n3. Follow the Quick Start to set up your system to enroll devices and link us to your Apple business manager.\n\nWant to start taking control of your remote fleet? \n\nVisit us at <https://www.swif.ai> or reach out to us at [support@swif.ai](https://mailto:support@swif.ai).",
        "url": "https://www.ycombinator.com/launches/HKb-swif-one-stop-device-management-and-security",
        "votes": 32,
        "created_at": "2022-10-11T17:09:59.715Z"
      }
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    "id": 21902,
    "name": "Blissway",
    "slug": "blissway",
    "former_names": [
      "Blissway",
      "BLISSWAY"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/41fb64af0fedc089c69c9af82b6619dfece6ffd3.png",
    "website": "https://www.blissway.com/",
    "all_locations": "Denver, CO, USA",
    "long_description": "",
    "one_liner": "The tolling industry’s prime tech infrastructure",
    "team_size": 22,
    "industry": "Government",
    "subindustry": "Government",
    "launched_at": 1597711066,
    "tags": [
      "Hardware",
      "Machine Learning",
      "SaaS",
      "IoT",
      "Transportation"
    ],
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2020",
    "status": "Active",
    "industries": [
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    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/blissway",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2020/blissway.json",
    "year_founded": 2019,
    "city": "Denver",
    "country": "US",
    "linkedin_url": "",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/41fb64af0fedc089c69c9af82b6619dfece6ffd3.png",
    "app_video_url": null,
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    "company_photos": [],
    "primary_partner": {
      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
    },
    "founders": [
      {
        "user_id": 413210,
        "full_name": "Francisco Torrealba",
        "title": "Founder",
        "founder_bio": "Jack of all trades – entrepreneur, dad of three, hard sci-fi author, backcountry skier. Stanford MS & MBA.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ftorrealba/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/02a915d76015fade36dee3dacbe48ca9542af43b.jpg"
      },
      {
        "user_id": 332479,
        "full_name": "Felipe Kettlun",
        "title": "Founder",
        "founder_bio": "Electrical Engineer and MS in Computer Science (AI) from Stanford with vast experience in IoT and machine learning.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/felipekettlun/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e04981efd7a4d20bc17044d956ae97479a1bcfb3.jpg"
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    "jobs": [],
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    "launches": []
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  {
    "id": 21903,
    "name": "doola",
    "slug": "doola",
    "former_names": [
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      "StartPack",
      "doola (formerly StartPack)"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ef8a47a4ac0a3c3a1af8da2743a4bee6aa5bb8fb.png",
    "website": "https://www.doola.com/",
    "all_locations": "New York City, NY, USA; New York, NY, USA",
    "long_description": "doola is a “Business-in-a-Box” for creators. We take care of everything creators need to form an LLC, set up their bank account, accept payments, and manage ongoing compliance and tax filings. We realized how difficult it was to set up the full stack of software and accounts you need to get a business off the ground. This is the same problem faced by online businesses, who begin their business as a side hustle, and just want to focus on growing their business, not annoying administrative work. That’s why we built doola: to take care of it all. Today, people on every continent have launched companies with doola. (HQ: New York)",
    "one_liner": "Business-in-a-Box™ for LLCs",
    "team_size": 43,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1614820150,
    "tags": [
      "Fintech",
      "SaaS"
    ],
    "tags_highlighted": [],
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    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2020",
    "status": "Active",
    "industries": [
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      "Productivity"
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    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/doola",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2020/doola.json",
    "year_founded": 2020,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/doolaHQ",
    "x_url": "https://twitter.com/doolaHQ",
    "fb_url": "https://www.facebook.com/doolaHQ",
    "cb_url": "https://www.crunchbase.com/organization/doola",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ef8a47a4ac0a3c3a1af8da2743a4bee6aa5bb8fb.png",
    "app_video_url": null,
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    "company_photos": [],
    "primary_partner": {
      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
    },
    "founders": [
      {
        "user_id": 306058,
        "full_name": "Arjun Mahadevan",
        "title": "Founder",
        "founder_bio": "CEO @doolaHQ (YC S20) | Helping 1M people start their dream biz with doola.com (a “business-in-a-box” for LLCs) | Slowly turning into my alter ego: Mr. LLC 🇺🇸",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/mahadevanarjun/",
        "x_url": "https://www.twitter.com/arjunmahadevan",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bbe8b6eaafbda2393adfc2476e44cd869ca1e0de.jpg"
      }
    ],
    "jobs": [
      {
        "id": 50671,
        "title": "Pitch Us on a Role",
        "url": "https://www.ycombinator.com/companies/doola/jobs/cmnbzur-pitch-us-on-a-role",
        "location": "New York, New York",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 70268,
        "title": "Bookkeeper (Bangalore, India)",
        "url": "https://www.ycombinator.com/companies/doola/jobs/EiVa7yS-bookkeeper-bangalore-india",
        "location": "Bangalore / Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 70269,
        "title": "CPA, Tax Professional (Bangalore, India)",
        "url": "https://www.ycombinator.com/companies/doola/jobs/nqtfSsq-cpa-tax-professional-bangalore-india",
        "location": "Bangalore",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 70270,
        "title": "Tax Preparer (Bangalore, India)",
        "url": "https://www.ycombinator.com/companies/doola/jobs/JIGwcQ0-tax-preparer-bangalore-india",
        "location": "Bangalore",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 71187,
        "title": "Bookkeeper (Client Success)",
        "url": "https://www.ycombinator.com/companies/doola/jobs/o7evMBB-bookkeeper-client-success",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$55K - $80K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 76458,
        "title": "Account Management Team Lead",
        "url": "https://www.ycombinator.com/companies/doola/jobs/yriS1CQ-account-management-team-lead",
        "location": "Remote in Philippines / Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 76460,
        "title": "IRS / EIN Specialist",
        "url": "https://www.ycombinator.com/companies/doola/jobs/ucJFSNZ-irs-ein-specialist",
        "location": "Bangalore / Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 76461,
        "title": "Operations Agent",
        "url": "https://www.ycombinator.com/companies/doola/jobs/HdlyBJp-operations-agent",
        "location": "Remote in Philippines / Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 76463,
        "title": "Tax Team Lead",
        "url": "https://www.ycombinator.com/companies/doola/jobs/6xGUxW3-tax-team-lead",
        "location": "Remote in Philippines / Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "Doola nurses new capital for its ‘business in a box’ tool targeting global founders • TechCrunch",
        "url": "https://techcrunch.com/2022/11/08/doola-nurses-new-capital-for-its-business-in-a-box-tool-targeting-global-founders/",
        "date": "Nov 08, 2022"
      },
      {
        "title": "The New Doola Company Formation API Could Help Manage An Influx of U.S. LLC, DAO LLC, and C Corp Incorporations",
        "url": "https://www.ibtimes.com/new-doola-company-formation-api-could-help-manage-influx-us-llc-dao-llc-c-corp-3488864",
        "date": "Apr 28, 2022"
      },
      {
        "title": "Doola raises $3M to help global founders launch an LLC in the US – TechCrunch",
        "url": "https://techcrunch.com/2021/11/15/doola-raises-3m-to-help-global-entrepreneurs-launch-an-llc-in-the-u-s/",
        "date": "Nov 15, 2021"
      }
    ],
    "launches": [
      {
        "id": 100594,
        "title": "doola MCP + API for US LLC Formation",
        "tagline": "Start a business from inside Claude, Replit or your platform via our API.",
        "body": "Hey everyone,\n\nArjun here, CEO of doola (YC S20).\n\nWe just launched the doola MCP and wanted to share it with the YC community.\n\n**What we built:** You can now start a Wyoming LLC inside Claude or Replit without leaving the platform. An AI agent collects the required information, passes it to our formation API, and hands the founder off to complete payment on doola.\n\n**We are the first business formation and compliance platform to offer LLC formation via the Model Context Protocol standard**.\n\n![uploaded image](/media/?type=post&id=100594&key=user_uploads/306058/50d183f0-47b7-4600-94b9-bd9e44f1deb3)\n\n**Why we did this now:** A few months ago, I posted here when we opened our Formation API. We received 20+ inbound partnership messages from that post alone. The appetite for callable formation infrastructure is real and growing fast. MCP felt like the right next step.\n\n![uploaded image](/media/?type=post&id=100594&key=user_uploads/306058/004ae590-12e6-4034-a962-2134cf65b54a)\n\nThe API + MCP we have built can now empower businesses of all types and sizes to **offer whitelabeled US LLC formation and ongoing compliance at scale, fully powered by doola.** This now allows companies to use the tech we’ve built to:\n\n* Streamline operations and outsource formations and filings to doola’s automation.\n\n\n* Drive new revenue streams by offering a new product to your customer base (white-labeled or powered by doola).\n\nWe’re excited to continue empowering founders across the globe to turn their dream idea into their dream US businesses.\n\n**Ask: If you're at a company considering embedding LLC formation or compliance infrastructure into your product, I'd love to talk. We’re actively onboarding new partners (more info below in PS on how to get in touch).**\n\nWe’ve helped 15,000+ founders across 175+ countries start U.S. LLCs. MCP is what the future of LLC formation looks like in an agentic world.\n\nHappy to answer any questions here.\n\nLets doola it ⚡\n\nPS: If you’d like to partner with us to offer formation in your platform via MCP or API, please email me at [arjun@doola.com](mailto:arjun@doola.com) or you can grab some time to chat and [learn more about accessing our MCP + Formation API here.](https://www.doola.com/business-solutions/company-formation-api/)",
        "url": "https://www.ycombinator.com/launches/QAU-doola-mcp-api-for-us-llc-formation",
        "votes": 5,
        "created_at": "2026-04-30T14:42:12.425Z"
      },
      {
        "id": 93361,
        "title": "doola: AI Co-Founder",
        "tagline": "The First AI Business-in-a-Box™ for E-Commerce Entrepreneurs",
        "body": "[doola: AI Co-Founder](https://www.youtube.com/watch?v=63utsvP5Hx8&t=1s)\n\nIntroducing doola’s [AI Co-Founder](https://www.doola.com/ai-cofounder/?utm_source=yc&utm_medium=social&utm_campaign=ai-cofounder&htrafficsource=yc&el=yc_08272025), the first intelligent partner built for global e-commerce entrepreneurs that cuts back-office work from hours per week to just minutes. So you can focus on building your brand and making sales.\n\n![uploaded image](/media/?type=post&id=93361&key=user_uploads/306058/df83bf9e-c5f7-4708-8d34-e5064c8fb5a6)\n\nGlobal e-commerce entrepreneurs were telling us the same story. That starting a Shopify or Amazon store is easy, but running and managing one is overwhelming.\n\nThat’s why we built [doola's AI Co-Founder](https://www.doola.com/ai-cofounder/?utm_source=yc&utm_medium=social&utm_campaign=ai-cofounder&htrafficsource=yc&el=yc_08272025), the intelligent partner that takes care of your back-office tasks.\n\n![uploaded image](/media/?type=post&id=93361&key=user_uploads/306058/4cb6bc40-e222-49fd-96c6-0cdf662db309)\n\nE-Commerce entrepreneurs don’t want ten browser tabs and five service providers. They want one trusted partner who gets the job done. Our [AI Co-Founder](https://www.doola.com/ai-cofounder/?utm_source=yc&utm_medium=social&utm_campaign=ai-cofounder&htrafficsource=yc&el=yc_08272025) is your business partner that never sleeps, is available 24/7, fluent in 175+ countries’ unique challenges, and gets smarter with every interaction.\n\n**What AI Co-Founder Delivers Today**\n\nUnlike generic chatbots, [AI Co-Founder is built for e-commerce entrepreneurs](https://www.doola.com/ai-cofounder/?utm_source=yc&utm_medium=social&utm_campaign=ai-cofounder&htrafficsource=yc&el=yc_08272025) and automates tasks that usually drain founders' time:\n\n* **Banking & Payments:** Helps founders globally set up U.S. accounts and Shopify Payments quickly.\n* **Compliance & Filings:** Tracks state deadlines and fees, sending reminders before obligations are due.\n* **Bookkeeping & Accounting:** Advises on accounting methods and expense categorization to keep your books clean.\n\n**U.S. Tax Guidance:** Explains filing requirements based on a founder's home country and U.S. business structure.\n\n![uploaded image](/media/?type=post&id=93361&key=user_uploads/306058/01ea07eb-326f-4160-9c00-076b598a7e29)\n\ndoola isn’t just a formation service. We’re building the first [AI Business-in-a-Box™ for E-Commerce](https://www.doola.com/ai-cofounder/?utm_source=yc&utm_medium=social&utm_campaign=ai-cofounder&htrafficsource=yc&el=yc_08272025).\n\nOur AI Co-Founder is the first step toward an intelligent, automated back-office that works for you, so you can focus on what you do best, while doola handles the rest.",
        "url": "https://www.ycombinator.com/launches/OHp-doola-ai-co-founder",
        "votes": 11,
        "created_at": "2025-08-27T14:02:51.947Z"
      },
      {
        "id": 89198,
        "title": "doola: Business-in-a-Box™ for E-Commerce",
        "tagline": "Your E-Commerce back office. Simplified.",
        "body": "[Introducing Business-in-a-Box™: The Back Office of E-Commerce is Finally Here](https://youtu.be/OROIndmHTQw?si=HIDSwQhQHiQj2RjB)\n\nThe front end of E-Commerce is Shopify and Amazon. The back-end has been fragmented and missing… until now.\n\nToday is one of the most important days in doola's history.\n\nWe're launching [doola Business-in-a-Box™ for E-Commerce](https://www.doola.com/?utm_source=yc&utm_medium=social&utm_campaign=businessinabox&htrafficsource=yc&el=doola_yc) - the first solution that brings the entire back-end of E-Commerce into one place.\n\n![uploaded image](/media/?type=post&id=89198&key=user_uploads/306058/15876394-8954-4de9-9cd4-6ef713e518e8)\n\n## E-Commerce Do'ers, you know the struggle:\n\n* Entity formation, compliance, and multi-state tax rules\n* Bookkeeping and financials that ensure you don't overpay the IRS\n* Business analytics to understand profitability across all your channels\n\nFor too long, you've been forced to stitch together a back-end solution from fragmented services, thinking that's just the way it had to be.\n\nWe built the solution E-Commerce founders deserve.\n\n## With doola, you get:\n\n✅ LLC formation and business banking set up the right way from day one\n\n✅ Bookkeeping and tax filings are handled (by humans) so you don't leave money on the table\n\n✅ Initial sales tax registration and reseller certificate? We got you covered.\n\n✅ Business analytics integrated to track profits across Shopify, Amazon, and beyond\n\n## Why this matters:\n\n* E-Commerce is exploding—online sales will surpass $6 trillion globally in 2025\n* Founders don't want five different vendors to manage their back-end\n* You should be focused on selling and scaling—not juggling compliance tasks\n\nThe best part? No U.S. Social Security Number is required. We've already helped 10,000+ entrepreneurs from 175+ countries turn their E-Commerce dreams into reality and scale to 7 figures and beyond.\n\n![uploaded image](/media/?type=post&id=89198&key=user_uploads/306058/9e1a4c84-9bfb-434a-85f1-c72c6efd480a)\n\nEverything you need is now in one place, [built specifically for E-Commerce.](https://www.doola.com/?utm_source=yc&utm_medium=social&utm_campaign=businessinabox&htrafficsource=yc&el=doola_yc) All the unsexy yet critical and required things you need to do—doola takes care of them for you.\n\nStop managing back-end tasks manually. Focus on what you do best while doola handle the rest.\n\n[Schedule a demo today.](https://www.doola.com/?utm_source=yc&utm_medium=social&utm_campaign=businessinabox&htrafficsource=yc&el=doola_yc)\n\nLet's doola this ⚡️",
        "url": "https://www.ycombinator.com/launches/NCg-doola-business-in-a-box-for-e-commerce",
        "votes": 11,
        "created_at": "2025-04-02T12:31:18.046Z"
      },
      {
        "id": 84459,
        "title": "doola White Label Bookkeeping and Tax API",
        "tagline": "Add bookkeeping and tax filings to your product suite via API.",
        "body": "Hey everyone! 👋\n\nWe’re excited to announce the expansion of our API offerings to the YC community with the launch of the doola White Label Bookkeeping and Tax API. 🎉\n\nAt doola, we’ve always been on a mission to empower entrepreneurs to run their US business seamlessly, no matter where they are in the world. \n\nIt all started with our [**Company Formation API**](https://www.doola.com/business-solutions/company-formation-api/?utm_source=launchyc&utm_medium=listing&utm_campaign=formationapi): a solution designed to help founder s launch their US companies in minutes, fully remote, and hassle-free. Our API enabled platforms to offer a seamless US company formation experience, outsourcing all the filings and compliance to doola's automation — and unlocking new revenue streams for those platforms.\n\n![uploaded image](/media/?type=post&id=84459&key=user_uploads/306058/c0bc5c09-1648-47f8-9395-bbc8bcadb7a6)\n\nBut our vision didn’t stop at formation.\n\nToday, we’re excited to build on that foundation with our new [**White Label Bookkeeping and Tax API**](https://doola.com/bookkeeping/white-label-bookkeeping-tax-api?utm_source=launchyc&utm_medium=listing&utm_campaign=bookkeepingtaxapi), allowing platforms to offer not just company formation but also ongoing bookkeeping, financial statements, and tax compliance services, fully powered by doola.\n\n![uploaded image](/media/?type=post&id=84459&key=user_uploads/306058/2dca792c-361f-499f-9010-ca14df3d7bcf)\n\nHere’s what the API can do for you:\n\n⚙️ **Streamline Operations**: Automate formation, bookkeeping, and tax compliance for your users, simplifying their back-office needs from start to finish — all while we handle the complexities.\n\n📈 **Unlock New Revenue Opportunities**: Whitelabel doola’s comprehensive services or integrate them into your platform, giving your customers a full-suite solution and adding new revenue streams to your business. \n\nImagine your platform being the place where users can form their US LLCs, stay compliant, and handle all their bookkeeping and tax filings, without lifting a finger. Whether you're helping e-commerce sellers, SaaS entrepreneurs, or creators, our API equips you to offer this seamlessly.\n\n**Interested in partnering with doola?**\n\n[Talk to our team today](https://doola.com/bookkeeping/white-label-bookkeeping-tax-api), and let's team up to help more founders start, run, and grow their dream businesses.",
        "url": "https://www.ycombinator.com/launches/LyF-doola-white-label-bookkeeping-and-tax-api",
        "votes": 6,
        "created_at": "2024-10-02T15:11:11.664Z"
      },
      {
        "id": 78385,
        "title": "💸 doola Money - Start an LLC, store $USD, and move money globally in minutes",
        "tagline": "We empower global founders by helping them set up a US business without handling any complex paperwork.",
        "body": "Hey everyone! 👋\n\nWe’re thrilled to announce doola’s new fintech product for global entrepreneurs, which is now open to the YC community.\n\n![uploaded image](/media/?type=post&id=78385&key=user_uploads/306058/da2575af-7711-44ef-9f55-536803a6edab)\n\nAt doola, our mission is to empower global founders by helping them set up a US business without handling any complex paperwork.\n\nIn addition to business formation and tax compliance, doola’s new product will now allow global businesses and founders to deposit $USD and move money internationally from any continent, with no US Social Security Number required.\n\ndoola Money is a payment account that enables users to do a few things, including:\n\n* depositing and storing US dollars\n* making ACH and wire payments in the US\n* send money internationally using FX or currency exchange transactions\n* use your doola Money account for payouts from processors like Stripe or PayPal\n\nWhether you’re a seasoned entrepreneur or a first-time business owner, doola Money opens doors to international transactions without the hassles of social security numbers or credit histories.\n\nWe’re excited to continue empowering founders across the globe to turn their dream idea into their dream US businesses.\n\nYC companies can get early access to [doola Money](https://doola.com/money) today! 🚀\n\nYou can read and watch all about how to use doola Money here on [doola University](https://www.doola.com/university/a-guide-to-using-doola-money/).\n\nYou can check us out on [Product Hunt](https://www.producthunt.com/posts/doola-money).\n\nAnd you can see the coverage on social here ([LinkedIn](https://www.linkedin.com/posts/mahadevanarjun_doolas-biggest-announcement-of-the-year-activity-7163166871607840768-L5ZO?utm_source=share&utm_medium=member_desktop) | [Twitter](https://twitter.com/ArjunMahadevan/status/1757403567294435728?s=20)).",
        "url": "https://www.ycombinator.com/launches/KOH-doola-money-start-an-llc-store-usd-and-move-money-globally-in-minutes",
        "votes": 7,
        "created_at": "2024-02-13T15:33:58.929Z"
      },
      {
        "id": 67380,
        "title": "doola Company Formation API 🔮",
        "tagline": "Create a US company from the command line and unlock a new revenue stream.",
        "body": "Hey everyone! 👋\n\nWe’re excited to open our [Company Formation API](https://www.doola.com/company-formation-api?utm_source=launchyc&utm_medium=listing&utm_campaign=formationapi) up to the YC community. 🥳\n\nAt doola, our mission is to help anyone turn their dream idea into their dream US business from anywhere in the world. To enable this for founders meant handling all the complex paperwork — something we spent hours manually filing forms with the state and IRS.\n\nThere had to be a better way. So we built a Formation API in-house. Today, we can file companies with the state in minutes upon receiving information from a founder. And we can do this for founders, 100% remotely, from anywhere in the world.\n\n![uploaded image](/media/?type=post&id=67380&key=user_uploads/306058/5cf78b55-cc08-4719-96e1-e41eb621a5c8)\n\nThe API we have built can now empower businesses of all types and sizes to offer US company formation and ongoing compliance at scale, fully powered by doola.\n\nThis now allows companies to use the tech we’ve built to:\n\n* ⚙️ Streamline operations and outsource formations and filings to doola’s automation.\n* 📈 Drive new revenue streams by offering a new product to your customer base (white-labeled or powered by doola).\n\nWe’re excited to continue empowering founders across the globe to turn their dream idea into their dream US businesses.\n\nYC companies can [access our API today,](https://www.doola.com/company-formation-api) and be sure to read through our [API docs](https://www.doola.com/company-formation-api) as well! 🚀\n\nYou can read all about how we’re building our API [here](https://www.doola.com/blog/doola-company-formation-api) on our company blog.",
        "url": "https://www.ycombinator.com/launches/HWm-doola-company-formation-api",
        "votes": 44,
        "created_at": "2022-11-17T14:26:22.378Z"
      },
      {
        "id": 67114,
        "title": "doola Banking",
        "tagline": "A new way for LLCs to bank and build credit in the US",
        "body": "Hey everyone! 👋\n\nWe’re so excited to share the launch of [doola Banking](https://www.producthunt.com/posts/doola-banking)! 🏦\n\n[doola](https://www.doola.com) helps global entrepreneurs form U.S. LLCs and DAO LLCs by supporting customers through the incorporation process so they can confidently collect payments, build credibility, stay legal, and make more money.\n\nTo date, doola has provided company formation, an EIN, a U.S. address, access to U.S. payments, tax consultations, U.S. tax support, $50,000 in startup perks, and today…\n\n… access to a US business bank account.\n\n![uploaded image](/media/?type=post&id=67114&key=user_uploads/306058/0cdb4068-a0de-4d8e-99ef-62def675c5c4)\n\n**We’re essentially enabling a new way for LLCs to bank and build credit in the US.**\n\nOur strategy is to deliver a seamless experience to help businesses on their path to growth. We’re engaging our customers with personalized insights, timely recommendations, cash management, team management, account tracking, and financial content, all to optimize daily financial operations — using the superpowers of a feature-rich digital bank.\n\n![uploaded image](/media/?type=post&id=67114&key=user_uploads/306058/db2e4e4f-2497-42bf-bd1e-ed92dd9e4f13)\n\nWe are now an all-in-one platform to:\n\n* 🗂 Register your US LLC or DAO LLC\n* 🏦 Open your US bank account\n* ✅ Keep your LLC compliant with Total Compliance (State Filings, IRS Filings, and Bookkeeping).\n\nAll. In. One. Go. No US SSN required.\n\nWe’re excited to continue empowering founders across the globe to turn their dream idea into their dream US business.\n\n[Check out doola Banking on Product Hunt as well!](https://www.producthunt.com/posts/doola-banking)",
        "url": "https://www.ycombinator.com/launches/HSU-doola-banking",
        "votes": 17,
        "created_at": "2022-11-03T19:34:35.214Z"
      }
    ]
  },
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        "date": "Jul 19, 2024"
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        "url": "https://www.inquirer.com/business/health/vitable-philadelphia-primary-care-joseph-kitonga-first-round-capital-20211226.html",
        "date": "Dec 27, 2021"
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        "url": "https://www.forbes.com/sites/jairhilburn/2021/10/28/this-startup-just-raised-72-million-to-provide-healthcare-for-hourly-workers/",
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        "full_name": "ASHUTOSH SINGLA",
        "title": "Founder",
        "founder_bio": "Passionate about programming and solving problems with the use of technology. ",
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        "linkedin_url": "https://www.linkedin.com/in/ashu1461/",
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        "id": 94820,
        "title": "Bik.ai: World’s First AI Commerce Agents Marketplace",
        "tagline": "Today, we’re launching the world’s first AI Commerce Agents Marketplace - built for every eCommerce brand that’s tired of stacking 20+ eCommerce plugins.",
        "body": "![uploaded image](/media/?type=post&id=94820&key=user_uploads/341432/0db1a090-c5b5-453d-8732-d1b4142ae1d2)\n\n**TL;DR** eCommerce Brands, → its time to say good bye to Shopify plugins. :)\n\ninstead of investing heavily on multiple tools and plugins to handle your acquisition, support, retention, can now just spin off **AI commerce agents** for their Brand.\\\n\\\nNo need to onboard 20+ tools or hire 5 new people to scale your eComm Brand.\\\n\\\nNo tools. No humans.\n\n### Problem & the Solution.\n\n**Example** : Trouble with **refunds** because of size issue? \\\n**Solution** : Enable **Size Guide AI** agent to help your shoppers from our marketplace.\n\n**Example** : Struggling to handle inbounds from Influencers on Insta DM?\\\n**Solution** : Build an **Influencer shortlisting DM agent** using our Agent studio builder\n\n**Drum rolls 🥁.**\n\nHere is a sneak peak of how it looks :\n\n![uploaded image](/media/?type=post&id=94820&key=user_uploads/341432/9473b2ad-3c69-4da3-9699-78284c1a23ff)\n\nhttps://www.youtube.com/watch?v=PF4TnsHh2nI\n\n### How to works?\n\nThe crazy part? → Its amazingly easy to set it up.\n\nJust type in your prompt for :\n\n1. **Goal** → **(Reduce support load, increase revenue by xx%)**\n2. **Instructions**\n3. **Success criteria**\n\nGet realtime updates on the Agent’s performance: 👇🏼\n\n![uploaded image](/media/?type=post&id=94820&key=user_uploads/341432/6c9edeb5-28b7-4f19-b93d-842e68882d8a)\n\nYou don’t need to train AI at multiple places, because BIK.ai takes care of everything when it comes to marketing & support for eCommerce Brands.\n\n![uploaded image](/media/?type=post&id=94820&key=user_uploads/341432/d6e63f5c-48ee-43f6-a21b-490a013532d5)\n\n**Train it once.**\n\n**Deploy it everywhere** (email, text, Instagram, messenger, whatsapp) or on website.\n\n**Relax for a lifetime.**\n\n### Ask:\n\nGive it a shot if not already, you can onboard us\n\n✅ No contracts\\\n✅ No onboarding cost\\\n✅ Begin with 1 agent — scale as you grow\\\n✅ Setup: 100% white-glove service — my team trains your AI and takes it live\n\nCheck it out here - https://getmanifest.ai/ai-commerce-agents\n\nWrite me at [sonakshi@bik.ai](mailto:sonakshi@bik.ai) if you would like to take your 1st step towards future today.",
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        "title": "⭐️ 💖 Manifest AI - Introducing AI Shopping Pages",
        "tagline": "Manifest AI helps brand deploy AI shopping assistants. Today, we're launching AI shopping pages.",
        "body": "TL;DR eCommerce Brands, instead of getting their visitors to their static storefronts, can now how have a dedicated landing page with an AI shopping experience— trained on their eCommerce store + Sales data.\n\n—\n\nHey Fam, we're Sonakshi and Ashutosh, and we're founders of [Manifest AI](https://getmanifest.ai) (it’s a product by [BIK](https://bik.ai)). We're on a mission to re-imagine how eCommerce is done today using Generative AI.\n\n**❓The Problem**\\\n96% of online visitors drop off after visiting a Brand’s website because of multiple reasons, such as not getting what they wanted or not knowing where and how to find what they want.\n\n**⭐️ Solution**\n\n[Manifest AI](https://getmanifest.ai)’s shopping page allows brands to have a fully personalised AI shopping experience for each visitor where they can ask what they want, for example, “I have a date night, pls suggest something in black?” Manifest AI enables product recommendation, engagement & purchase depending upon the intent of the visitor.\n\n**⚙️ How it works**\n\nAs soon as you sign up for [Manifest AI](https://getmanifest.ai), the LLMs gets trained on your eCommerce store & sales data, and generates an AI shopping page, the page can have different URLs depending upon the ads campaign making the AI shopping page to give a very personalised experience to each user. It takes care of search, product recommendation, and support on your storefront. It acts like a human sales agent on your eCommerce website.\n\n👉🏼 Watch the full video [here](https://www.youtube.com/watch?v=K4K_uE0RkQI)\n\n**💙 Manifest AI is contributing to real sales**\n\n![uploaded image](/media/?type=post&id=81809&key=user_uploads/341432/647489df-7448-48a0-a5b1-9123db34bf0d)\n\n**👉** You also get the Training quality score of your AI on the Manifest Dashboard.\n\n![uploaded image](/media/?type=post&id=81809&key=user_uploads/341432/80378219-9406-4ab5-acf8-cdb66f063c1f)\n\n👉 You can set up different URLs & experiences for your ads campaign.\n\n![uploaded image](/media/?type=post&id=81809&key=user_uploads/341432/bb32fc2d-fac8-46cf-9a18-ea4a162ad4ba)\n\nAI also has the capability to generate real-time quizzes based on intent, keeping the visitors engaged.\n\n![uploaded image](/media/?type=post&id=81809&key=user_uploads/341432/afd9ca35-ec7f-44bc-bbe1-a94f7fb0dcc8)\n\n**🙏 Asks**\n\nIf you have any eCommerce brands in your network, request them to try [Manifest AI](https://getmanifest.ai)!\n\nFollow us on [Linkedin](https://www.linkedin.com/company/getmanifestai) 😊\n\nIf you have 30 minutes to chat about Manifest AI, please book a time with me [here](https://bit.ly/4cluvJH) or [DM me here](https://www.linkedin.com/in/sonakshi-nathani-473abb41/)",
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      {
        "title": "Heron Raises $16.6M to Automate Document Workflows with AI",
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        "date": "Jul 18, 2025"
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    "name": "SiPhox Health",
    "slug": "siphox-health",
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      "SiPhox"
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    "website": "https://www.siphoxhealth.com",
    "all_locations": "Boston, MA, USA",
    "long_description": "We are developing a new paradigm for consumer health tech wearables by replacing a 100lb optical instrument with an area of silicon smaller than a postage stamp.",
    "one_liner": "At-Home health monitoring with silicon photonic chips for data centers",
    "team_size": 63,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Consumer Health and Wellness",
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    "tags": [
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    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2020",
    "status": "Active",
    "industries": [
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/siphox-health",
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    "year_founded": 2020,
    "city": "Boston",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/siphox-inc",
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    "cb_url": "https://www.crunchbase.com/organization/siphox",
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    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
    },
    "founders": [
      {
        "user_id": 520037,
        "full_name": "Michael Dubrovsky",
        "title": "Founder",
        "founder_bio": "I'm a serial entrepreneur interested in challenging myself and changing the world with nanotechnology. \n\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/michael-dubrovsky/",
        "x_url": "https://twitter.com/MikeDubrovsky",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a47345422c196ac4b189f2685f9e4ec6d5a883dd.jpg"
      },
      {
        "user_id": 496434,
        "full_name": "Diedrik Vermeulen",
        "title": "Founder",
        "founder_bio": "Diedrik is one of the founders of SiPhox and serves as its Chief Executive Officer. Diedrik brings to SiPhox extensive expertise and experience in the development of optical systems on a chip. Prior to joining SiPhox, Diedrik was the director of engineering at Analog Photonics and a research scientist at the Massachusetts Institute of Technology. Diedrik has 28 patents and 108 publications and is recognized as the world expert in optical fiber, free-space and chip-to-chip coupling.\n\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/diedrik-vermeulen-a32361a/",
        "x_url": null,
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c35f9ceddd80e7657d2e139ca9c373d1ae39cf76.jpg"
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    ],
    "jobs": [
      {
        "id": 91395,
        "title": "Technical Product Manager",
        "url": "https://www.ycombinator.com/companies/siphox-health/jobs/YC0wnPa-technical-product-manager",
        "location": "Boston, MA, US",
        "type": "Full-time",
        "role": "Product",
        "role_type": null,
        "salary_range": "$100K - $150K",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Amazon Web Services (AWS)",
          "Python",
          "React",
          "React Native",
          "Figma",
          "Prompt Engineering"
        ]
      },
      {
        "id": 100104,
        "title": "Wartime Operations and Product Lead ",
        "url": "https://www.ycombinator.com/companies/siphox-health/jobs/MidPrDz-wartime-operations-and-product-lead",
        "location": "Boston, MA, US",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$160K - $200K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 100105,
        "title": "Full-Stack Software Development Lead",
        "url": "https://www.ycombinator.com/companies/siphox-health/jobs/JJWtH1J-full-stack-software-development-lead",
        "location": "Remote",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Engineering manager",
        "salary_range": "$80K - $120K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 104395,
        "title": "Product Manager, Mail-In Blood Testing",
        "url": "https://www.ycombinator.com/companies/siphox-health/jobs/kVeUyK3-product-manager-mail-in-blood-testing",
        "location": "Boston, MA, US",
        "type": "Full-time",
        "role": "Product",
        "role_type": null,
        "salary_range": "$140K - $200K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
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      },
      {
        "id": 109475,
        "title": "Head of Consumer Experience; Home blood testing",
        "url": "https://www.ycombinator.com/companies/siphox-health/jobs/N05WFT7-head-of-consumer-experience-home-blood-testing",
        "location": "Boston, MA, US / Remote (US)",
        "type": "Full-time",
        "role": "Product",
        "role_type": null,
        "salary_range": "$130K - $200K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 111653,
        "title": "Senior Mechanical Design Engineer",
        "url": "https://www.ycombinator.com/companies/siphox-health/jobs/5QdtcSb-senior-mechanical-design-engineer",
        "location": "Burlington, MA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Mechanical",
        "salary_range": "$100K - $200K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "CAD Design"
        ]
      },
      {
        "id": 111719,
        "title": "System Integration & Test Engineer",
        "url": "https://www.ycombinator.com/companies/siphox-health/jobs/cKtyUtt-system-integration-test-engineer",
        "location": "Burlington, MA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Hardware",
        "salary_range": "$70K - $120K",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 117042,
        "title": "Customer Support Lead",
        "url": "https://www.ycombinator.com/companies/siphox-health/jobs/M5tpvKo-customer-support-lead",
        "location": "Burlington, MA, US / Remote",
        "type": "Full-time",
        "role": "Support",
        "role_type": null,
        "salary_range": "$70K - $90K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 117102,
        "title": "Senior Customer Support Specialist and Trainer",
        "url": "https://www.ycombinator.com/companies/siphox-health/jobs/vXAeAvZ-senior-customer-support-specialist-and-trainer",
        "location": "Burlington, MA / Remote",
        "type": "Full-time",
        "role": "Support",
        "role_type": null,
        "salary_range": "$55K - $70K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 117132,
        "title": "Manager, Clinical & Product Operations",
        "url": "https://www.ycombinator.com/companies/siphox-health/jobs/0IOwcU4-manager-clinical-product-operations",
        "location": "Burlington, MA",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$80K - $110K",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "Bringing lab testing to the home | MIT News | Massachusetts Institute of Technology",
        "url": "https://news.mit.edu/2024/siphox-brings-lab-testing-home-1114",
        "date": "Nov 13, 2024"
      },
      {
        "title": "Intel Capital, Khosla lead $27M investment into SiPhox Health’s at-home blood-testing tech | TechCrunch",
        "url": "https://techcrunch.com/2023/07/19/intel-khosla-27m-siphox-health-at-home-blood-test-healthcare/",
        "date": "Jul 19, 2023"
      },
      {
        "title": "At-home Blood Testing Just Got A Whole Lot Better",
        "url": "https://neo.life/2022/12/at-home-blood-testing-just-got-a-whole-lot-better/",
        "date": "Dec 20, 2022"
      }
    ],
    "launches": [
      {
        "id": 102471,
        "title": "💉 🩸SiPhox Health GLP Monitoring",
        "tagline": "At-Home Blood Testing Built for GLP Therapy",
        "body": "**TL;DR: We've launched the SiPhox Health GLP Monitoring Panel: at-home blood testing and body composition tracking built specifically for people on GLP-based therapy (Ozempic, Zepbound, Retatrutide, etc.).**\n\n✅ 40+ lab markers covering metabolism, lipids, liver, kidney, thyroid, hormones, and nutrition\n\n✅ Painless upper arm patch at-home collection — no lab visits, no appointments, no finger pricks\n\n✅ In-app body-composition scanner to track fat loss vs. muscle preservation\n\n✅ GLP Tolerance Score — built from your labs, body comp, and symptom check-ins\n\n✅ Symptom check-ins for fatigue, brain fog, hair shedding, GI issues, and muscle loss\n\n✅ Wearable integration — Apple Health, Oura, Whoop, Dexcom, Libre, etc.\n\n✅ Upload third-party labs (Quest, Labcorp, etc.) for a complete picture in one dashboard\n\n✅ $199 — HSA/FSA eligible\n\n🔗 **Start monitoring:** <http://siphoxhealth.com/glp-monitoring>\n\n![uploaded image](/media/?type=post&id=102471&key=user_uploads/520037/2235ba82-46fe-42ad-a38b-c5fb7f65c2cd)\n\n### 🔨 Why We Built This\n\n# We're Getting Into the GLP Game — But Not With a Me-Too Product\n\n30 million Americans are currently on GLP drugs. That number is going up. Access is getting easier, prices are falling, and the longevity research on low-dose GLP therapy is compelling enough that it's not hard to imagine most adults cycling on and off these medications eventually, not just for weight loss, but for metabolic health and lifespan.\n\nThere are plenty of places to buy Ozempic, but the monitoring and optimization infrastructure is not there yet. The biology of GLP therapy is more complicated than the weight loss headline suggests:\n\n🚫 **Muscle loss is hidden by the scale.** Fast weight loss often means lean mass loss, not just fat. Standard weight tracking can't tell the difference.\n\n🚫 **Side effects are downstream signals.** Fatigue, brain fog, hair shedding, and constipation aren't random — they're often markers of caloric under-fueling, nutrient depletion, or dehydration pressure that bloodwork would catch early.\n\n🚫 **Prescribers don't monitor the full picture.** Most GLP patients get minimal follow-up labs, if any. HbA1c, ApoB, ferritin, B12, testosterone, thyroid — none of these are standard-of-care during treatment.\n\n🚫 **Weight alone is a bad success metric.** Losing 24 lbs while losing 6 lbs of muscle and depleting your ferritin is not the same as losing 24 lbs of fat.\n\n# The Solution: A Monitoring Loop Built for GLP Therapy\n\nWe've served 50,000+ users with at-home blood testing. GLP users are a distinct population with distinct needs, so we built a product specifically for them. The SiPhox GLP Monitoring Panel connects labs, body composition, and symptom tracking into one continuous loop so you can see what the drug is actually doing to your biology and course-correct before small problems become bigger ones.\n\n---\n\n### 💡 What You Get\n\n**✅ 40+ Lab Markers — GLP-Specific Panel**\n\nNot a generic wellness panel. Built around the markers that matter when appetite, weight, hydration, and body composition are actively changing:\n\n* **Metabolism:** HbA1c, eAG, C-Peptide\n* **Lipids &amp; heart:** ApoB, LDL, HDL, Triglycerides, hsCRP\n* **Liver:** ALT, AST, ALP, bilirubin, albumin\n* **Kidney &amp; hydration:** BUN, creatinine, eGFR, BUN:Cr ratio\n* **Thyroid:** TSH, Free T4\n* **Hormones:** Testosterone (total + free + %), SHBG, cortisol\n* **Nutrition:** Vitamin D, B12, folate, ferritin, iron studies (Iron, UIBC, TIBC, Iron Saturation), total protein\n\n**✅ Painless At-Home Collection**\n\nCollected via our Easydraw arm patch, no venous draw, no finger prick, no lab visit. Mail it back, and the results appear in your dashboard.\n\n**✅ Body-Composition Scanning**\n\nIn-app scanner tracks fat loss vs. lean mass preservation between tests.\n\n**✅ GLP Tolerance Score**\n\nA composite score built from labs, body comp, and symptom check-ins. Tracks how well your body is handling therapy at each stage: baseline → titration → maintenance.\n\n**✅ Symptom &amp; Side-Effect Tracking**\n\nTrack fatigue, brain fog, hair shedding, GI issues, and muscle soreness between tests. Connects subjective experience to objective lab data.\n\n**✅ Detailed Analysis &amp; Personalized Insights**\n\nInterpret what's moving in the right direction, what deserves a conversation with your prescriber, and what to adjust in diet, training, or supplementation built around your specific results.\n\n🔗 **Start monitoring:** <http://siphoxhealth.com/glp-monitoring>\n\n---\n\n---\n\n### 📈 Why Now?\n\nGLP drugs are the fastest-growing drug class in history. Next-gen peptides like retatrutide, orforglipron, cagrilintide are coming. The longevity use case is expanding the addressable population well beyond obesity treatment. And monitoring has not kept pace with any of it.\n\nMost patients are flying blind. Prescribers don't have the bandwidth for individualized follow-up. Labs are ordered inconsistently, if at all. No one is connecting weight, body composition, symptoms, and biomarkers in a single continuous view.\n\n\\_____________________________________________________________________\\_\n\n### 🏢 For Businesses: White-Label the GLP Monitoring\n\nRunning a GLP prescribing platform, a metabolic health clinic, a wellness app, or a supplement brand with a GLP-adjacent audience? You can white-label or co-brand the entire monitoring program.\n\n**What the partner program gives you:**\n\n✅ White-label or co-branded kit and dashboard under your brand\n\n✅ Full panel access + API integration for embedding results in your own product\n\n✅ Partner dashboard to track your clients' health journeys and customize next steps with real biomarker data\n\n✅ Pre/post protocol testing to prove efficacy and reduce churn\n\n✅ CLIA/CAP-accredited lab processing — same quality as traditional venous draws\n\n✅ Account management, biomarker interpretation training, and marketing support\n\nPatients are 3x more likely to stay engaged with a health program backed by real biomarker data.\n\n🔗 **Partner inquiry:** [siphoxhealth.com/partner](https://siphoxhealth.com/partner)\n\n\\_____________________________________________________________________\\_\n\n---\n\n### 🤝 For Health Coaches: Refer and Earn\n\nIf you work with people on GLP therapy as a health coach, personal trainer, or content creator, our affiliate program is built for you.\n\nNo cost to join. No hidden fees. Your referrals get a better monitoring product and better outcomes; you get a meaningful revenue stream.\n\n🔗 **Join the affiliate program:** [siphoxhealth.com/affiliate-program](https://siphoxhealth.com/affiliate-program)\n\n---\n\n\\_____________________________________________________________________\\_\n\n### About SiPhox Health\n\nSiPhox Health, backed by Khosla Ventures, Intel Capital, and Y Combinator, is a full-stack home blood testing company founded at MIT. We've tested 1M+ biomarkers across 50,000+ users. Our long-term mission is SiPhox Home — a silicon photonic chip that delivers instant blood test results from home. The GLP Monitoring Panel runs on our existing CLIA/CAP-accredited lab infrastructure and Easydraw arm collection patch.",
        "url": "https://www.ycombinator.com/launches/Qel-siphox-health-glp-monitoring",
        "votes": 31,
        "created_at": "2026-06-03T00:19:59.999Z"
      },
      {
        "id": 93544,
        "title": "SiPhox Health🩸Painless, At-Home Thyroid Testing",
        "tagline": "Test a comprehensive, lab-grade thyroid panel in minutes painlessly from home",
        "body": "### TL;DR\n\n**SiPhox Health is launching a first-of-its-kind at-home thyroid test.** Affordable, painless, comprehensive, and clinical-grade. Test as often as needed for $79/month—no lab visits required, results in minutes.\n\n**Join the waitlist here:** https://siphoxhealth.com/thyroid-waitlist\n\n## SiPhox Home: The Future of At-Home Thyroid Testing\n\n![uploaded image](/media/?type=post&id=93544&key=user_uploads/520037/72114357-e921-4bf9-98a6-2f5ec4cc6dde)\n\n### About SiPhox\n\nWe are a **YC, Khosla Ventures, and Intel Capital-backed** startup empowering everyday people to test their blood biomarkers painlessly at home and live healthier, longer.\n\nSiPhox is the **highest-rated self-testing company** on the market. We have delivered **300k+ biomarker test results** to date with our innovative mail-in tests via the SiPhox DTC wellness testing service and enterprise white-label platform.\n\n### What’s New\n\nWe're launching a **waitlist** for our **comprehensive, clinical-grade at-home thyroid testing** platform. For **$79/month**, users can test TSH, Free T4, Free T3, TPOAb, TGAb, and TG\n\n**No needles, no labs**— just use our painless Easydraw arm collector patch, collect a small blood sample, and place it into the device.\n\n---\n\n![uploaded image](/media/?type=post&id=93544&key=user_uploads/520037/117e1cb8-f4af-48ec-b22f-e5f50b1c1216)\n\n### Why It Matters\n\n**The numbers:** \\~20M Americans are living with hypothyroidism, and more with subclinical hypothyroidism. 1M+ have had their thyroid removed (\\~40-50k new thyroid cancer cases each year).\n\n**Completely at-home:** no more travel, scheduling, or needle draws. Just a quick 5-10 minute sample collection vs. 2‑hour lab appointments.\n\n**Robust panel, affordable pricing**: deeper insight at a lower cost relative to traditional labs (\\~$150/test).\n\n**Seamless doctor integration**: sync results with your doctor easily, and manage across devices via our dashboard.\n\n**Telehealth support if you need it:** work with a SiPhox-affiliated telehealth support team to optimize your thyroid health.\n\n**All-in-one health dashboard:** track your results in a modern dashboard where you can connect your wearable devices, upload past test results from any lab, and chat with an in-context health coaching AI.\n\n**High accuracy, future-ready tech**: SiPhox leverages silicon photonics, the tech that powers datacenter optical communication chips, to miniaturize a lab-grade blood testing instrument and cut the cost 300x without compromising on performance.\n\n**See our R&D facility here:**\n\nhttps://www.youtube.com/watch?v=kvNqRBW-MKI&ab_channel=SiPhoxInternal\n\n### How to get access\n\n**Join the waitlist here:** https://siphoxhealth.com/thyroid-waitlist\n\nPartner with us: https://siphoxhealth.com/partner\n\n---\n\n---\n\n---\n\n### What’s Next\n\nAfter we receive FDA clearance for thyroid testing, we’ll be focusing on launching sex hormone panels, an advanced cardiac and inflammation panel (ApoB, hsCRP, etc.), and more. These will all be compatible with the same device.\n\nThe SiPhox Home can measure up to 20 proteins and hormones in a single cartridge.\n\n\\_________________________________________________________________\\_\n\n**_Fine print:_**\n\n\\-_The SiPhox Home device is currently only available for investigational use. Joining the waitlist ensures you are first in line to access the device once we receive our FDA clearance (expected 2026)_\n\n\\-_The SiPhox Home will only be available with a doctor’s prescription, either through SiPhox telehealth or through your preferred provider._\n\n---\n\n### ",
        "url": "https://www.ycombinator.com/launches/OKm-siphox-health-painless-at-home-thyroid-testing",
        "votes": 39,
        "created_at": "2025-09-03T15:44:08.993Z"
      },
      {
        "id": 90232,
        "title": "Sai: Cursor for Lab Test Results",
        "tagline": "Your free lab test and health optimization copilot ",
        "body": "**TLDR:**\n\n1. SiPhox, already the best option for home blood testing, is launching Sai, an AI lab test analyzer that lives directly in the SiPhox dashboard, just like the Cursor chat lives inside the IDE.\n2. You can use it with your SiPhox results or upload your own PDFs/screenshots of lab tests, they will be automatically parsed and added to the dashboard for discussion with Sai.\n3. Link here to try for free: https://siphoxhealth.com/try-sai\n\n> “AI will cure all diseases in the next 10 years.” – Demis Hassabis, CEO of DeepMind (CBS 60 Minutes)\n\n![uploaded image](/media/?type=post&id=90232&key=user_uploads/520037/884209a7-485e-4a4f-8533-9904a6d38f8f)\n\nBig claim. Maybe _too_ big.\n\nSomething more practical: AI + friction-free diagnostics can wipe out **a significant portion of preventable disease** if we give people the right tools.\n\nThat’s exactly what we’re shipping an early version of **today**.\n\n---\n\n### **What’s new**\n\n# 1. **Cursor-style Copilot for Your Labs (Beta)**\n\nUpload any lab report—PDF, photo, whatever—and **Sai**, our GPT-powered assistant, appears as a cursor-style sidebar in your dashboard.\n\nAsk it anything:\n\n* “Why is my ApoB high if my LDL looks fine?”\n* “Show me habits that would drop my Trig/HDL under 2.”\n* “Review my last several years of test data to see if I might be developing perimenopause.”\n* “Generate a doctor-ready summary of my results.”\n\nOr **highlight any section** in your dashboard and click _Ask Sai_\n\nhttps://youtu.be/B7PZ3QvIEuI\n\n# 2. **Zero-friction At-Home Blood Testing**\n\n* Upper-arm collector (comfortable, collects the sample painlessly in a few minutes)\n* Industry-leading, up to **50 biomarkers** in a single kit\n* Overnight return shipping to lab for fast results.\n\n  ![uploaded image](/media/?type=post&id=90232&key=user_uploads/520037/c7d623a3-5648-489a-a0db-2d8b4b0e55d1)\n\n\n# 3. **Integrated Expert Review**\n\nEvery report is reviewed by health experts. Insights come from a proprietary database developed by SiPhox experts and clinical advisors based on years of longitudinal testing by thousands of users. You still get human nuance + the flexibility of discussing your results with Sai.\n\n# 4. **Free Biological-Age & Heart-Age Scores**\n\nBecause a comprehensive dashboard is nice, but **north-star metrics** make it easier to take action and track progress. We built these scores using proprietary models based on public datasets and years of SiPhox user data.\n\n# 5. **Open Uploads**\n\nNot ready to buy a kit? Start by dumping old Quest/Labcorp PDFs into the dashboard for **free**. We’ve had this feature available for a few months now, and uploads are growing exponentially.\n\n---\n\n### **One More Thing 🫀**\n\n# **Heart & Metabolic Program** (launched quietly six months ago, now public)\n\n* **Most complete at-home panel** for cardiometabolic risk (advanced lipids + insulin resistance markers).\n* **Phenotype scoring** that fuses glucose-metabolism and lipid data\n* American Heart Association risk score and SiPhox **Heart-Age** score so you (and your doctor) can see your heart health status at a glance.\n* Access to titrated **lipid-lowering medications** when needed via telemedicine\n* Full Sai access, of course.\n\n---\n\n### **Why We’re Doing This**\n\n* **Doctors are time-constrained**. They glance at your test results and say “looks normal” even though “normal” ranges are based on lack of active disease, not disease prevention\n* **Patients are guessing**. Reddit threads and WebMD are too generic\n* **AI is finally good enough** to translate raw biomarker data into clear, day-to-day actions.\n* **Existing doctor-AI tools** are focused on symptom analysis and diagnosis, not on labs and long-term disease prevention\n* **60% of Americans have a chronic disease.** We want to help these people manage or even reverse their conditions and help the other 40% stay healthy long into old age.\n\n### **“There’s a new AI agent/chatbot launching every day. Why does the world need another one?”**\n\n1. It’s 100% true that anyone can upload their lab results to ChatGPT or another LLM interface and have a passable conversation about them. Based on our real-world experience with the SiPhox user-base, having a single health dashboard where all of your health data lives makes all the difference. **It’s the same reason Cursor is more useful for coding than ChatGPT…** the assistant in the IDE and has all the necessary context to collaborate with the user. This is something we wanted to experiment with (and we are looking to get as much feedback as possible on the UI).\n2. ChatGPT and other chatbots do great on generic medical exams but just like a typical primary care physician, they are less trained to handle health optimization and advanced bloodwork. Selecting “deep research” gives better results, but the output still requires an expert to confirm.\n3. SiPhox customized Sai using years of experience repeatedly testing, and coaching tens of thousands of users. This kind of dataset of frequent, comprehensive testing and coaching doesn’t exist publicly (or privately, as far as we know) for LLMs to train on.\n4. We are not an AI company building in a vacuum; we are a hardware and clinical product company building, integrating AI to serve the needs of active users who partner with us every day to improve their health.\n\n**Transparently, we are not convinced that this form factor (a chatbot)** is the final iteration, but given the state of AI today (latency vs. accuracy and intelligence tradeoffs), this is where we are starting.\n\n---\n\n### [TALK TO SAI](https://siphoxhealth.com/try-sai)\n\n1. **Don’t forget to upload past labs** → your data and trends are analyzed and displayed in a clear dashboard with the Sai sidebar\\_: [https://siphoxhealth.com/try-sai](https://siphoxhealth.com/try-sai%5C)\n2. **Sign up for a home blood test kit subscription** → 20 % off for the YC community with code [LAUNCHYC20](https://siphoxhealth.com/?discount=LAUNCHYC20)\n3. Are you a business, healthtech startup, clinic, physician or coach? You can utilize all of these features in SiPhox Enterprise, co-branded or white-labeled: https://siphoxhealth.com/partner\n\n---\n\nTen years to cure all diseases is optimistic, but giving everyone a personal lab analyst today is how we start making progress.\n\nSee you in the dashboard,\n\nThe SiPhox Health team\n\n\\_________________________________________________________________\\_\n\n### **How is my data handled?**\n\nSiPhox does not sell or share your personal data. SiPhox maintains compliance with industry grade security and best data privacy standards.\n\n\\_________________________________________________________________\\_\n\n### **The disclaimer:**\n\nSai is an AI-powered assistant (Beta) developed by SiPhox to provide general informational and educational responses based on its training data. Like other AI models (e.g., ChatGPT, Gemini), Sai may occasionally generate incomplete, outdated, or inaccurate information. We are actively working to improve its performance and reliability.\n\nSai does **not** provide medical advice, diagnosis, or treatment, and it is **not** a substitute for professional medical guidance. The use of Sai does **not** create a doctor-patient relationship. Any health-related content generated by Sai should not be acted upon without first consulting a qualified healthcare provider.\n\nSiPhox disclaims any liability for decisions made based on information provided by Sai. By using Sai, you acknowledge and agree to these limitations and to our Terms of Service and Privacy Policy.",
        "url": "https://www.ycombinator.com/launches/NTM-sai-cursor-for-lab-test-results",
        "votes": 36,
        "created_at": "2025-05-09T15:22:45.474Z"
      },
      {
        "id": 87455,
        "title": "🩸 SiPhox Health Ultimate Program – Comprehensive & Painless At-Home Blood Testing",
        "tagline": "Track 100+ blood biomarkers from home",
        "body": "### **TL;DR: We’ve launched the SiPhox Health Ultimate Program, a next-generation at-home blood testing and health tracking platform.**\n\n✅ 50+ biomarkers tracked painlessly from home\n\n✅ No venous draws, fingerpricks, traveling, appointments, or waiting rooms. Collect from home with the painless Easydraw arm collector device\n\n✅ 100+ total biomarkers when paired with yearly primary care lab result\n\n✅ Upload all your past lab tests (any lab) to track everything in one dashboard\n\n✅ AI-powered body fat % estimation using your phone camera (validated against DEXA scan)\n\n✅ Seamless integration with wearables & glucose monitors\n\n✅ Expert-driven, actionable, personalized insights\n\n✅ $498/year – less than $42/month for full health tracking — 50+ biomarker home tests twice per year\n\n🔗 **Try it now:** [siphoxhealth.com/ultimate-program](https://siphoxhealth.com/ultimate-program?utm_source=yc&utm_medium=article&utm_campaign=ultimate-launch)\n\n---\n\n### **🔨 Why We Built This**\n\n# **The Problem: Blood Testing Is Stuck in the Past**\n\nWe live in a world where wearables track heart rate, sleep, and glucose 24/7, yet blood testing—the most critical health data source—is still:\n\n🚫 **Infrequent** – Most people only test once per year at a doctor's visit.\n\n🚫 **Incomplete** – Many key biomarkers are not tested until symptoms appear.\n\n🚫 **Inconvenient** – Booking an appointment, traveling to a lab, and waiting weeks for results is a hassle.\n\n🚫 **Painful** – Finger pricks and venous blood draws deter regular tracking.\n\n🚫 **Fragmented** – No easy way to combine biomarker data with wearables or look at trends in past blood test data.\n\nMeanwhile, people want more and better **insights into their health**, whether for **longevity, athletic performance, metabolic health, hormonal balance, chronic disease prevention, or chronic disease management.**\n\n# **The Solution: Convenient Biomarker Tracking + Personalized Health Insights**\n\n🔬 We spent the last **2.5 years** **experimenting** with at-home blood test kit offerings to solve this problem and **tested tens of thousands of people**.\n\nWith the **SiPhox Health Ultimate Program**, we brought blood biomarker tracking, painless home sample collection, advanced biomarkers, personalized insights, body composition, and wearable integration into one seamless platform—so you can take control of your health without paperwork, clinics, finger pricks, or expensive lab tests.\n\n![uploaded image](/media/?type=post&id=87455&key=user_uploads/520037/8ea35ddb-b0ed-49ad-8fe6-1a39abf649eb)\n\n### **💡 What did we learn since our last launch**\n\nWe launched our service in beta September of 2022 🚀\n\n![uploaded image](/media/?type=post&id=87455&key=user_uploads/520037/18182bcb-e16e-4037-8d76-d14d009e28a0)\n\nWe’ve since served **10s of thousands** of users. Here are our **learnings**:\n\n1. More biomarkers = Better insights\n   * Larger panels are more likely to uncover issues before they become serious\n   * Users can handle (and often crave) more health data as long as it’s placed in proper context and made easy to understand\n   * Biomarkers like ApoB, Ferritin, C-Peptide, Testosterone and others that are normally not tested without symptoms can often reveal early warning signs that can be reversed with low-effort interventions\n2. Finger pricks don't work for everybody. Some people don’t mind them at all but they deter many from maintaining regular testing.\n3. Comprehensive home blood testing can make a big difference in people’s lives. A few examples below in the words of our users:\n\n![uploaded image](/media/?type=post&id=87455&key=user_uploads/520037/b9dce2a7-78a1-46d5-ba3e-13ed5594e215)\n\n![uploaded image](/media/?type=post&id=87455&key=user_uploads/520037/07fcc565-3131-435d-b56b-ded73ebbdab4)\n\n![uploaded image](/media/?type=post&id=87455&key=user_uploads/520037/d9745e3b-0cbf-4868-bd20-5aeb61d19065)\n\n<https://www.youtube.com/watch?v=vHC_5CRaMN0>\n\n### **💡 What You Get**\n\n✅ **At-Home Blood Testing – No Finger Pricks Required**\n\nWe've launched **Easydraw**, a **painless upper-arm blood collection patch** that allows you to test **50+ biomarkers** from home.\n\n![uploaded image](/media/?type=post&id=87455&key=user_uploads/520037/b03d31fb-e658-4d1c-ae36-4316da2d42b0)\n\n✅ **100+ Biomarkers with Your Annual Primary Care Lab Results**\n\nEasily **upload previous blood test results** from any lab (e.g., Quest, Labcorp) to **build the most complete biomarker dataset possible.** A typical annual wellness blood test contains a Complete Blood Count, Complete Metabolic Panel, and a Urine test. Add these to the SiPhox panel for a more complete picture of your health.\n\n![uploaded image](/media/?type=post&id=87455&key=user_uploads/520037/78cf4613-c1de-434f-b38b-a62eadd72733)\n\n✅ **AI-Powered Body Fat % Estimation**\n\nUsing just your phone camera, our app **analyzes body composition with AI**—giving you an accurate **body fat % estimate validated against Dexascan**.\n\n![uploaded image](/media/?type=post&id=87455&key=user_uploads/520037/36289b67-aab1-4b69-946d-b515743689c8)\n\n✅ **Wearable Integration + Continuous Health Tracking**\n\nSyncs seamlessly with **Apple Health, Oura, Whoop, Abbot Libre, Dexcom, and more** to combine biomarker testing with **sleep, activity, HRV, and glucose data.**\n\n✅ **Expert-driven, actionable, personalized insights and action plans**\n\n![uploaded image](/media/?type=post&id=87455&key=user_uploads/520037/b26827e0-45ee-41ac-a694-a9f24fd42df5)\n\n**✅ Scientists**\n\nOur team is made up of experts, Ph.D.s, MDs, and engineers, who are passionate about blood testing and health optimization. SiPhox is the only direct-to-consumer (DTC) home blood testing company developing its own hardware.\n\n**✅ More value for your money**\n\nWe avoid costly partnerships with celebrities and focus on shipping new features as our main driver of growth.\n\n### **📈 Why Now?**\n\n---\n\n6 out of 10 Americans have at least one chronic disease. Getting and staying healthy is more of a priority than ever before. Wearables, CGMs, and health tracking are becoming mainstream, but **blood testing is stuck in the past**—it’s inconvenient, painful, and limited to annual checkups.\n\nSiPhox Health bridges the gap, combining **at-home biomarker testing** with a **seamless, full-featured health dashboard.**\n\n---\n\n🩸 **Sign up today:** [siphoxhealth.com/ultimate-program](https://siphoxhealth.com/ultimate-program?utm_source=yc&utm_medium=article&utm_campaign=ultimate-launch)\n\n---\n\n### 🔗 **About SiPhox Health**\n\n---\n\nSiPhox Health, backed by Khosla Ventures, Intel Capital, and Y Combinator, is a full-stack home blood testing company currently offering consumers and businesses mail-in test kits to conveniently measure a broad range of biomarkers. Founded at MIT, our mission is to commercialize SiPhox Home—a silicon photonic chip-based device that delivers instant blood test results at home, making biomarker testing easier, smarter, and more accessible than ever.",
        "url": "https://www.ycombinator.com/launches/MkZ-siphox-health-ultimate-program-comprehensive-painless-at-home-blood-testing",
        "votes": 39,
        "created_at": "2025-02-05T22:23:17.832Z"
      },
      {
        "id": 83565,
        "title": "🩸SiPhox Health BiomarkerAI: Transform your PDF blood test results into simple, actionable insights",
        "tagline": "Upload your recent blood test results for free and receive a clear, easy-to-understand analysis of your health data.",
        "body": "## **TL; DR:**\n\nTrying to understand your blood test results shouldn't be a confusing or frustrating experience. At SiPhox Health, we simplify your lab results, offering clear insights into your health, actionable steps to improve it, and affordable at-home tests to track your progress. Say goodbye to cluttered, overwhelming reports, and hello to a healthier, more informed you.\n\n**🔗Link to try it out:** <https://siphoxhealth.com/understand-your-test-results>\n\n## **🚨 The Problem**\n\n![uploaded image](/media/?type=post&id=83565&key=user_uploads/520037/b16be89b-06df-4b1c-8919-382ec764ecf1)\n\n**60% of American adults** are living with at least one chronic illness, and **40%** are living with two or more. Regular blood tests are vital for identifying and managing these conditions, but the traditional reports often add to the confusion.\n\nInstead of offering clarity, you're met with pages of numbers, confusing medical jargon, and reference ranges that merely tell you if you’re “in” or “out”. If you're lucky enough to discuss the results with your doctor, you might gain some clarity and a prescription, but you’re unlikely to fully understand the status of your body, and feel like you have a clear plan to improve your health.\n\nWhat's more, as long as your results aren't drastically abnormal, you might not receive any feedback from your doctor at all. This can lead to the neglect of critical signals—issues that may only become apparent when they escalate, often surfacing only a year later in your next annual blood test.\n\n## 💡 **The SiPhox Solution**\n\n![uploaded image](/media/?type=post&id=83565&key=user_uploads/520037/a84c1e65-96d2-494d-aab4-d8d097d3908f)\n\nCheck out a demo of the dashboard here: <https://app.siphoxhealth.com/reports/demo-siphox-dashboard>\n\nWe’ve developed a platform that turns your blood test results into actionable insights, empowering you to understand your body, make informed changes to improve your health and track your progress over time.\n\n1. Understand your body\n   * Simple explanations for each test, and insights to help you understand what your result for that test means.\n2. Make changes.\n   * Personalized diet, lifestyle, and supplement recommendations based on your blood test results and health goals. Our bodies are unique, complex systems, for which general recommendations will not suffice. Your action plan will be made custom for you.\n3. Track progress.\n   * How do you know if the changes have been effective? Take another blood test with a SiPhox at-home testing kit. SiPhox offers the most comprehensive and inexpensive at-home blood test kit on the market.\n   * Visualize how your biomarkers are trending on simple, intuitive graphs.\n\n![uploaded image](/media/?type=post&id=83565&key=user_uploads/520037/a67fa2bf-4ccc-453f-8ede-b5db1b40f41e)\n\n## **How did we develop our algorithms:**\n\nWe run a mail-in blood testing subscription service ([$165 for quarterly testing](https://siphoxhealth.com)) that enables users to test 17 key blood biomarkers from home with a painless self-collected sample. We trained an AI algorithm on the massive amount of biomarker data we’ve collected over the years, coupled with all the insights our clinical team delivered to our subscribers.\n\n## **How it works:**\n\n1. **Upload Your Results:** You can upload blood test results from any doctor or provider by either uploading a file or manually entering them.\n2. **Help us understand your goals:** Take a short questionnaire to help us understand your current lifestyle and what your health goals are. For example, you’re currently fairly sedentary and would like to boost your energy and mood.\n3. **Receive your Insights:** We use a combination of AI and our experts to generate personalized, actionable insights for you. Within two days of submitting your report, you’ll be able to view these insights in your dashboard.\n4. **Take another blood test:** After implementing your health protocols, take another blood test to see how your biomarkers have adapted. Then, you can view the state of each biomarker with intuitive graphs and scores.\n5. **For bonus points:** Connect your wearable device to combine sleep, activity, and heart rate data with your blood biomarkers in the same dashboard.\n\n<https://www.loom.com/share/cf58b874538249bc91026d074a38fdde?sid=baaee4a9-710c-4626-ae12-b2361cf94515>\n\n## **⚡️ Real Results, Real Impact:**\n\nWith hundreds of thousands of blood biomarker results delivered, SiPhox is already transforming how people understand, track, and improve their health. Whether it's identifying nutritional gaps or optimizing fitness, our users are making data-driven decisions that lead to tangible improvements in their well-being.\n\nJoin a growing community of health-seekers by uploading your blood test results today.\n\n## 🤝 **Quick ask**\n\n* [Click here to try it out!](https://siphoxhealth.com/understand-your-test-results)\n* If you find the product helpful, share it with your friends, family, and social media followers.\n* We welcome feedback on SiPhox’s product and encourage you to suggest new features.\n\n**Talk to us** - Interested in working, learning more, or collaborating? Email [team@siphoxhealth.com](mailto:team@siphoxhealth.com) or visit our [partner](https://my.siphoxhealth.com/pages/partner) and [career](https://my.siphoxhealth.com/pages/careers) pages.\n\n## 🦊**About SiPhox**\n\n[SiPhox](https://www.siphoxhealth.com/) Health, Inc. is a venture-backed startup in Greater Boston that integrates microfluidics, biochemistry, and Silicon Photonics to miniaturize proteomics. It was founded in February 2020. We are building lab-quality blood testing and advanced primary care for the home to help prevent and manage chronic disease.\n\nThe SiPhox team has extensive experience translating cutting-edge optical chip technology into mass-produced products used worldwide. It is bringing the same proven approach to the next frontier for integrated photonics. This new frontier is biology.\n\nSiPhox has [raised](https://techcrunch.com/2023/07/19/intel-khosla-27m-siphox-health-at-home-blood-test-healthcare/?guccounter=1) $29M to date and is backed by Y Combinator, Intel Capital, Metaplanet, and Khosla Ventures.\n\n![uploaded image](/media/?type=post&id=83565&key=user_uploads/520037/83d647ea-a0c1-491c-bd8c-7d9dcb635796)\n\n## **📝Disclaimer:**\n\nThis free service is meant for informational and educational purposes only. The reference ranges and insights presented in the SiPhox Health dashboard are meant to improve readability and provide context; however, you should consult with your physician for a more formal interpretation of your results. No communication from SiPhox Health is meant to be or should be taken as medical advice. SiPhox Health is a wellness-only service and is not designed to diagnose, prevent, or treat any disease. If you are concerned about any of the data in your dashboard, please consult your physician immediately.",
        "url": "https://www.ycombinator.com/launches/Ljp-siphox-health-biomarkerai-transform-your-pdf-blood-test-results-into-simple-actionable-insights",
        "votes": 32,
        "created_at": "2024-08-28T23:32:55.194Z"
      },
      {
        "id": 66235,
        "title": "SiPhox Health - Convenient at-home health tracking",
        "tagline": "At-home health testing is too expensive and slow. We’re fixing that.",
        "body": "SiPhox is building at-home blood testing hardware using silicon photonic chips. Our hardware product is currently in development and we plan to start beta testing it in users’ homes in 2023. ([Watch Lab Tour](https://youtu.be/u6oF_lyUsII)).\n\n**The average American lifespan has plateaued over the last 2 decades:**\n\n![uploaded image](/media/?type=post&id=66235&key=user_uploads/520037/ae9a0197-58ee-4f23-884b-e894463751d3)\n\nWe believe that every human is unique. Biomarker tracking is required to know whether a particular lifestyle or health intervention is working. At scale, we envision that frequent population biomarker tracking will enable humans to live longer and healthier lives.\n\n**To enable this future, our team is working to decrease the cost of at-home testing by 10x and make results available immediately.**\n\n**SiPhox just launched Quantify, an at-home test kit service that enables users to track 17 health tests ($95/test)** 🩸 **+ sleep, activity, and heart rate data from your wearable device ⌚ in a single dashboard.** [JOIN QUANTIFY (10% off)](https://getquantify.io/pages/tier-page?utm_source=YC-launch&utm_medium=post&utm_campaign=YC-launch&utm_id=YC-launch)\n\n### About Quantify\n\n* Quantify was created to empower individuals to take control of their health journey.\n* Quantify is a simple, convenient, low-cost, and comprehensive way to track your health and minimize chronic disease risk.\n* We measure inflammation, metabolic fitness, hormonal + nutritional balance, and cardiovascular health. These are shown in a comprehensive, easy-to-understand wellness dashboard ([sample dashboard](https://app.getquantify.io/reports/d3e8b07917dba)) with personalized insights so you can track and improve over time.\n* For now, all the tests are done via **mail-in,** **self-collected samples** at a **gold standard CLIA-certified lab**, SiPhox hardware will be phased in next year.\n* **Over the last 3 months, our alpha users discovered and improved things like low Vit. D, high inflammation (hsCRP), low Testosterone, High ApoB/LDL cholesterol, high fasting Insulin, poor sleep, and more.**\n* We want this sort of tracking to be broadly accessible to those that can’t afford concierge medicine. **At $95/kit for the monthly membership (before discount) we set the lowest price on the market (compare to $250 for Insidetracker InnerAge 2.0).**\n* Use this link for a 10% discount on your first 3 test kits: [JOIN QUANTIFY](https://getquantify.io/pages/tier-page?utm_source=YC-launch&utm_medium=post&utm_campaign=YC-launch&utm_id=YC-launch)\n\n# \n\n![uploaded image](/media/?type=post&id=66235&key=user_uploads/520037/03fb9c15-7e73-4c12-afb5-acc75306264b)\n\n# **How it works** ⚙️\n\n1. Subscribe to Quantify\n2. (optional) Connect your wearable devices (8sleep, Fitbit, Whoop, Oura, etc.)\n3. Receive an at-home collection kit to self-collect a blood sample (see picture above)\n4. Join our weekly webinar for a guided self-collection if you have never done it before. You will be a pro in 10 minutes 🙂\n5. Mail in your sample (USPS pickup) and view the results in your intuitive wellness dashboard ([sample dashboard](https://app.getquantify.io/reports/d3e8b07917dba))\n6. Receive customized insights based on your blood biomarker and wearable data\n7. Do your own experiments (diet, supplements, exercise, biohacking, etc.)\n8. Test again and track your results over time\n9. Compare your scores against Quantify user averages\n\n**Get in touch** ✉️\n\n1. Feel free to contact us at [hello@getquantify.io](mailto:hello@getquantify.io) with any questions or suggestions about the service\n2. If you are interested in integrating Quantify into your product offering, please get in touch via [info@siphox.com](mailto:info@siphox.com)\n\n### Use this link for a 10% discount on your first 3 test kits: [JOIN QUANTIFY](https://getquantify.io/pages/tier-page?utm_source=YC-launch&utm_medium=post&utm_campaign=YC-launch&utm_id=YC-launch)\n\n### ",
        "url": "https://www.ycombinator.com/launches/HEJ-siphox-health-convenient-at-home-health-tracking",
        "votes": 61,
        "created_at": "2022-09-22T16:18:57.138Z"
      }
    ]
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    "id": 22327,
    "name": "Matter",
    "slug": "matter",
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    "website": "https://getmatter.app",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "Matter is a powerful, modern reading app that lets you save media from anywhere, pulls in your newsletters, lets you listen to your articles in a natural voice, and much more.",
    "one_liner": "Building the future of reading",
    "team_size": 7,
    "industry": "Consumer",
    "subindustry": "Consumer -> Content",
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    "batch": "Summer 2020",
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    "regions": [
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    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/matter",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2020/matter.json",
    "year_founded": 2019,
    "city": "San Francisco",
    "country": "US",
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    "x_url": "https://twitter.com/getmatterapp",
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    "founders": [
      {
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        "full_name": "Ben Springwater",
        "title": "Founder",
        "founder_bio": null,
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/benspringwater/",
        "x_url": "https://twitter.com/benspringwater",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6b1777b902a7b661178ce3df7ab3fbb9704e21c2.jpg"
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      {
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        "full_name": "Robert Mackenzie",
        "title": "Founder",
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        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/robert-n-mackenzie",
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    "jobs": [
      {
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        "title": "Software Engineer, Backend",
        "url": "https://www.ycombinator.com/companies/matter/jobs/X1HSDvK-software-engineer-backend",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
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        "title": "📲 ⏪ Mobile Rollbacks by Runway",
        "tagline": "Undo a bad native app release with a single click.",
        "body": "## Mobile Rollbacks ensure your team is always just one click away from addressing critical bugs in production. \n\nNo one is immune from shipping critical bugs to production. No matter how extensive your test coverage, no matter how thorough your QA, no matter how much you put behind feature flags — your mobile team _will_ ship irreversibly-bad updates that break things and upset your users. \n\nThis is especially problematic for mobile because you can’t roll back immediately like your web or backend friends can. Rather, you have to triage the issue and assign it to the right team members, implement fixes (or carefully revert the offending changes), compile one or more RCs, upload to the stores, submit for review, then cross your fingers and pray to the store review gods for a speedy review. And the negative impacts of even just a few hours with a critically broken app can be eye-watering: tens or hundreds of thousands of dollars in lost revenue, a flood of negative user reviews, and overwhelmed CX or ops folks.   \n\nBut what if it didn’t have to be that way? What if you could instantly resolve a critical issue in prod, with a single click? Now, you can. \n\n### Recover from production issues in zero time — literally\n\nCritical issue? Roll back instantly. In the background of every normal release cycle, Runway automatically re-signs your last live production build and preps it for a possible rollback release — including preemptive submission for review (iOS only) — to remove all possible sources of delay. Should something go wrong in prod, there’s always a corresponding rollback build ready and waiting for single-click release in Runway. \n\n![](https://assets-global.website-files.com/5ef1f28e08458502ba614d85/6555b0344379d5700b526a01_deploy-rollback-button.png)\n\nHere’s how the rollback flow works in a bit more detail:\n\n1. Your team is busy getting your next regularly-scheduled release out the door. Let’s call it version 1.2.0.\n2. In the background, Runway takes your latest live build in production — say, 1.1.0 — and re-signs it, bumping the version to 1.2.1 and incrementing the build number as necessary.\n3. Your team releases 1.2.0 as scheduled. Nice!\n4. The 1.2.1 rollback release is surfaced in Runway, just in case. For iOS, we also preemptively create a new version for the possible rollback in App Store Connect and submit the rollback build for review.\n5. Your team is monitoring the rollout of 1.2.0 and identifies a critical issue 🚨You halt the rollout.\n6. Right next to the button you used to halt the rollout, there’s another button to release the rollback build that’s ready and waiting. Click that, and you’re all set.\n\nWith rollback builds primed and ready to go, your team can address critical bugs in prod with a single click — cutting out all the lead time needed to investigate and implement a fix, get builds compiled and uploaded, and make it through the store review process.\n\n### Take the pressure out of hotfixes; triage more fully and fix more confidently\n\nEven if you ship a rollback to address an issue in prod, it doesn’t mean you’ll necessarily wait until your next regularly-scheduled release to issue a fix. In fact, it’s likely you’ll use rollbacks in conjunction with roll-forward hotfixes — and those hotfixes will be better as a result. Because rollbacks allow you to instantly stabilize a critical situation, you can take your time in triaging, investigating, implementing fixes, and then working through your hotfix release process.\n\n![](https://assets-global.website-files.com/5ef1f28e08458502ba614d85/6555b0ce132292bf3747a1af_rolllout-rollbacks-final.gif)\n\n### More predictable resolution timelines & fewer unanswerable questions from stakeholders\n\nEvery team knows the feeling of dread that hits when you’ve shipped a breaking change and leadership shows up in your #mobile Slack channel. _Is the fix in yet? Is the build approved by Apple? How about now?_ With rollbacks in Runway, you can actually respond to these kinds of asks, and give stakeholders confidence that the situation is under control.\n\n![](https://assets-global.website-files.com/5ef1f28e08458502ba614d85/6555b15743d1af6cfd9dcf50_slack-popup.png)\n\n### When you need a rollback, it’s there for you (batteries included). When you don’t, we’ll handle all the cleanup.\n\nRunway’s rollbacks functionality encompasses quite a few dependencies and steps which, if approximated manually each and every release, would require a lot of work — not just to prepare each rollback, but also to clean up unused rollbacks along the way. Now, you no longer have to choose between investing huge amounts of time and effort into setting up rollbacks manually or else forfeiting the safety net rollbacks provide.\n\n![](https://assets-global.website-files.com/5ef1f28e08458502ba614d85/6555b18d930993fe03666aaa_rollback-settings.png)\n\nWith rollbacks, Runway gives your mobile team _the quickest_ possible way to respond to critical issues in production. Instead of scrambling to identify, implement, and ship a fix, you can immediately “stem the bleeding” and resolve things with a single click. Stakeholders won’t hover wondering when a resolution will land, and your team can triage and implement fixes more confidently, without all the pressure that typically accompanies hotfix situations. Plus, rollbacks mitigate the serious negative impact to revenue and app store reviews that comes with a buggy app being in users’ hands for even just a couple of hours.\n\n### How to give Rollbacks a try\n\nYou can sign up for free on the [Runway site](http://runway.team), no credit card required, and we’re always available to give you a guided walkthrough — just get in touch!",
        "url": "https://www.ycombinator.com/launches/JqL-mobile-rollbacks-by-runway",
        "votes": 9,
        "created_at": "2023-11-16T17:50:09.865Z"
      },
      {
        "id": 71808,
        "title": "📲 🚀 Build Distro by Runway",
        "tagline": "Better mobile build distribution for teams",
        "body": "## Build Distro makes it dead simple to get the right app builds into the right teammates’ hands\n\nMobile build distribution is hard. There’s the provisioning and signing gauntlet, of course, but the challenges don’t end there. Getting the right builds in front of the right teammates takes constant effort and shepherding, and creating an install flow that’s pain-free is difficult. Existing tooling options tend to jumble all different kinds of builds together and offer half-baked installation flows; the “human factors” aspect of build distribution is secondary, or ignored altogether.\n\nWe set about building a better, more foolproof and human-centric way.\n\n### What is Build Distro?\n\nBuild Distro allows you to clearly define and group the different types of mobile builds your team distributes – from one-offs and work-in-progress dev builds, to staging builds, to release candidates. You can avoid the usual jumbled pile of builds that folks have to carefully sift through, and give technical and non-technical team members alike an easier way to grab builds, with streamlined installation via QR or Slack link. With hassle-free distribution, your team can check out builds earlier and more often, improving collaboration and app quality.\n\nHere are some highlights:\n\n📲 **Get the right builds into the right people’s hands**\n\nBuild Distro introduces the idea of build buckets to allow you to clearly define and group different flavors of builds. Instead of having all distributed builds landing in that jumbled pile, you can now separate different kinds of builds using definitions based on branch, CI workflow, or some combination of both — or using more freeform, ad hoc buckets. Not only are build flavors logically separated into buckets, but you can set up targeted notifications and scope access per bucket to ensure the right people are aware of and able to seamlessly install new builds relevant to them.\n\n![uploaded image](/media/?type=post&id=71808&key=user_uploads/562880/830900f0-fe8a-4c8e-b050-5b86956de7d5)\n\n**✨ Share one-offs & early test builds more easily**\n\nWith branch-based and ad hoc, personal build buckets, Runway makes it much easier to share work-in-progress builds. You can create dedicated buckets for test builds and nightlies on your main development branch or any feature branches, and everyone on your team can also have their own personal buckets to drop updates into as they work. Product managers, QA, designers, and other engineers and stakeholders can now easily grab any WIP builds, earlier and more often during the development cycle, helping your mobile org improve quality and shift left.\n\n![uploaded image](/media/?type=post&id=71808&key=user_uploads/562880/e0e69e93-f6bd-4497-a3ed-7d50a23c68df)\n\n🔒 **Make it impossible to ship the wrong build to prod**\n\nOne of the worst failure modes around build distribution has to do with test or staging builds getting accidentally shipped to production. It may be rare, but when it happens, it can be devastating. Confusion around distributed build flavors is often to blame, and Runway’s build buckets remove this risk. Clearly delineate prod and pre-prod builds, and scope access accordingly.\n\n![uploaded image](/media/?type=post&id=71808&key=user_uploads/562880/5c3d452c-2760-44b9-98c6-eb3b97edef2d)\n\n**📥 Install app builds with less hassle, and more context**\n\nEven once someone has tracked down a build they want to check out, actually getting it onto their device comes with its own hassles. Runway makes installation foolproof and seamless: with each build, you can install directly by scanning a QR code or sending yourself a link in Slack. Plus, alongside each build you can see full context on the build flavor and exactly what work it contains — no more guesswork, pinging build numbers back and forth and hoping you’re grabbing the right version of the app.\n\n![uploaded image](/media/?type=post&id=71808&key=user_uploads/562880/a26f0045-ebdb-4b8b-9048-82f90457d415)\n\n⚙️ **Integrate with your existing tools for zero extra overhead**\n\nGetting up and running is simple: connect your existing CI and… that’s it. Once you’re connected, Runway will get you started with a few default shared buckets for development and RC builds, and anyone on your team can easily create scoped personal buckets. To define a new shared bucket, simply select a workflow (from among any defined in your CI, automatically pulled in by Runway), a branch, or some combination of both.\n\n![uploaded image](/media/?type=post&id=71808&key=user_uploads/562880/1bef9a17-07df-4d74-8d39-b1607e832e8e)\n\n🤝 **Standalone or tightly integrated with the rest of Runway**\n\nExactly how you leverage Build Distro is up to your team. You can spin up Build Distro by itself and use it as a standalone tool. Or, for a tightly integrated experience across the entire dev and release cycle, Build Distro plugs seamlessly into Runway’s end-to-end release management platform as a beta integration, allowing you to manage everything to do with pre-prod builds and testers alongside the rest of the release context. \n\n![uploaded image](/media/?type=post&id=71808&key=user_uploads/562880/21fcb35f-06ec-4ee9-8b97-529a179561bc)\n\n### Who is Build Distro for?\n\nBuild Distro is for mobile teams of all sizes who care about getting builds into the hands of team members and testers early and often. \n\nThere are a few team members that might be especially excited about Build Distro:\n\n* Mobile engineers who want to get more eyes on their in-progress work, well before it makes its way to the team’s main branch\n* PMs who care about checking out product work as it’s being developed, without having to hunt around for specific builds\n* QA folks who want to stay on top of testing without the volley of unintelligible build numbers over Slack\n* Anyone on the team, technical or non-technical, who cares about the product and wants to check out and help test builds pre-production\n\n \n\n### How to give Build Distro a try\n\nYou can sign up for free on the [Runway site](https://app.runway.team/signup?intent=buildDistro), no credit card required, and we’re always available to give folks a guided walkthrough as well – just get in touch!",
        "url": "https://www.ycombinator.com/launches/IgC-build-distro-by-runway",
        "votes": 9,
        "created_at": "2023-05-24T15:53:19.752Z"
      },
      {
        "id": 67143,
        "title": "📲 📈 Rollouts by Runway",
        "tagline": "Automate app rollouts with a full picture of release health",
        "body": "# A single source of truth for mobile release health, instantly understandable – and actionable\n\nAs former mobile engineers ourselves, the Runway team and I have experienced the challenge of rollouts firsthand  — and now, we’ve built something that can help. We’re excited to announce [_Rollouts_](https://www.runway.team/blog/introducing-rollouts-by-runway), a new part of the Runway platform that helps your team navigate rollouts with less collective stress, and more confidence. _Rollouts_ allows you to easily keep tabs on release health in just one place instead of many, alerts you whenever configured metrics become unhealthy, and safeguards release health by automatically halting rollouts based on thresholds you define.\n\n# What is _Rollouts_?\n\nHere are some highlights:\n\n### 🗺 The only complete picture of release health\n\nRollouts integrates with the mix of different tools you use to measure app health – crash reporting, observability & product analytics, the app stores (for per-version user ratings) – to create a single source of truth and unified dashboard that gives your team a holistic and instantly understandable view of release health at a glance. No more context-switching, no more mental overhead.\n\n![uploaded image](/media/?type=post&id=67143&key=user_uploads/562880/098822f9-93e6-4ac4-a612-c13ce50f187e)\n\n### 🌡 You define exactly what “healthy” means for your team\n\nAcross all tools and every metric, you can configure granular thresholds that together define what “healthy” looks like for your team. Runway will surface a crystal clear view of how each release is tracking relative to that definition. With expectations around health codified this way, there’s no room for ambiguity or hand-waving when it comes to your team’s standards for quality of the product you’re shipping.\n\n![uploaded image](/media/?type=post&id=67143&key=user_uploads/562880/479df881-d88e-4e1e-9cc2-d4ac27941bc4)\n\n### 🚨 Avoid blind spots and delays with instant alerting\n\nThe moment any of your configured metrics become unhealthy during a rollout, Runway will alert your team, in specific channels of your choosing and with full context on which metrics are problematic. You can be confident that no bad trends will go unnoticed – and that they can be acted on more quickly.\n\n![uploaded image](/media/?type=post&id=67143&key=user_uploads/562880/115d18e8-0167-47e6-8ce4-630bed0f564a)\n\n### 🛑 Automatically halt unhealthy rollouts\n\nBuilding on the custom thresholds you define, Runway can automatically halt unhealthy releases. With this automation enabled, if certain metrics of your choosing fall afoul of your acceptable thresholds during a rollout, Runway will automatically stop the rollout and alert your team. This prevents delays and human error, saving you from the negative consequences of a bad release making it out to even more users.\n\n_(Available on the Runway Pro plan and above.)_\n\n![uploaded image](/media/?type=post&id=67143&key=user_uploads/562880/7f6156eb-df96-4332-b4d7-c432c4aac58f)\n\n### 💨 Automatically accelerate healthy rollouts\n\nIf all of your metrics are looking good and your rollout has reached a minimum number of users you define, Runway can accelerate things and release to all users immediately. Getting a good release out to all users more quickly can be just as impactful as halting a bad release!\n\n_(Available on the Runway Pro plan and above.)_\n\n![uploaded image](/media/?type=post&id=67143&key=user_uploads/562880/9088b19a-3ce0-467f-a390-2368f4c92464)\n\n# Who is _Rollouts_ for?\n\n_Rollouts_ is for mobile teams of all sizes who care about the quality and health of the apps they ship. If you want to ensure you’re not shipping bad product and your users are having the best possible experience, without painstaking babysitting, _Rollouts_ is for you.\n\nThere are a few folks _Rollouts_ might resonate with especially:\n\n* Release captains/drivers/pilots who want to de-stress and de-risk the experience of being in the driving seat during a rollout\n* Mobile engineers who are tired of poking PMs to check on key events in some analytics dashboard they don’t have access to or don’t understand\n* PMs who are tired of said mobile engineers poking them all the time\n* Mobile leads or EMs who want to be sure their entire team has the full picture of release health, to foster a healthy sense of ownership and accountability\n* Engineering leadership who care about keeping tabs on their mobile org, easily and noise-free\n* Anyone and everyone who cares about app health and preventing bad releases from making it out to even more users\n\n \n\n# How to give _Rollouts_ a try\n\nYou can sign up for a free trial via the [Runway site](https://www.runway.team), no credit card required, and we’re available to give folks a guided walkthrough as well – just get in touch!\n\nFor indies, small teams, and YC fam, we’re happy to talk discounting too.",
        "url": "https://www.ycombinator.com/launches/HSx-rollouts-by-runway",
        "votes": 18,
        "created_at": "2022-11-04T20:56:59.348Z"
      }
    ]
  },
  {
    "id": 22627,
    "name": "Atomic Industries",
    "slug": "atomic-industries",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ad99a50e946cb78af9f253ab66655f1d1e1b158c.png",
    "website": "http://atomic.industries",
    "all_locations": "Cleveland, OH, USA",
    "long_description": "Atomic is a vertically integrated plastics supplier. To offer parts better, cheaper, and faster than anyone on Earth, we became the best mold makers using AI. Our software helps us design and build the best possible mold for each unique geometry, with the goal of moving into production more rapidly than existing supply chains.",
    "one_liner": "Software orchestrated mass production of plastics",
    "team_size": 60,
    "industry": "Industrials",
    "subindustry": "Industrials -> Manufacturing and Robotics",
    "launched_at": 1649630827,
    "tags": [
      "Hard Tech",
      "Manufacturing",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2021",
    "status": "Active",
    "industries": [
      "Industrials",
      "Manufacturing and Robotics"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/atomic-industries",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2021/atomic-industries.json",
    "year_founded": 2021,
    "city": "Cleveland",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/atomicindustries",
    "x_url": "https://twitter.com/atomic_inc",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ad99a50e946cb78af9f253ab66655f1d1e1b158c.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
    },
    "founders": [
      {
        "user_id": 1631,
        "full_name": "Aaron Slodov",
        "title": "Founder",
        "founder_bio": "",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/abslodov",
        "x_url": "https://twitter.com/aphysicist",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fcbeec608a70e4d3eee68a6eae1bf21a33d2230c.jpg"
      }
    ],
    "jobs": [
      {
        "id": 51833,
        "title": "General Engineering Applicant",
        "url": "https://www.ycombinator.com/companies/atomic-industries/jobs/sF4kWiZ-general-engineering-applicant",
        "location": "Detroit, MI, US / Cleveland, OH, US / Los Angeles, CA, US / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Mechanical",
        "salary_range": "$95K - $225K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "C++",
          "Python",
          "Deep Learning",
          "Reinforcement learning (RL)",
          "CUDA",
          "Machine learning"
        ]
      },
      {
        "id": 83480,
        "title": "Computational Geometer",
        "url": "https://www.ycombinator.com/companies/atomic-industries/jobs/kWGsO9w-computational-geometer",
        "location": "Detroit",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 83481,
        "title": "Purchasing & Finance Coordinator",
        "url": "https://www.ycombinator.com/companies/atomic-industries/jobs/n6uYSMe-purchasing-finance-coordinator",
        "location": "Detroit",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 83486,
        "title": "General Applicant",
        "url": "https://www.ycombinator.com/companies/atomic-industries/jobs/IFuEO0T-general-applicant",
        "location": "Detroit",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 83487,
        "title": "Manufacturing Engineer",
        "url": "https://www.ycombinator.com/companies/atomic-industries/jobs/pbkQwrq-manufacturing-engineer",
        "location": "Detroit",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 83488,
        "title": "Simulation Engineer",
        "url": "https://www.ycombinator.com/companies/atomic-industries/jobs/j1Kbugr-simulation-engineer",
        "location": "Detroit",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 83489,
        "title": "Senior Software Engineer",
        "url": "https://www.ycombinator.com/companies/atomic-industries/jobs/jjEnHsC-senior-software-engineer",
        "location": "Detroit",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 83490,
        "title": "Infrastructure Engineer",
        "url": "https://www.ycombinator.com/companies/atomic-industries/jobs/ayGa7kZ-infrastructure-engineer",
        "location": "Remote / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 83492,
        "title": "Accounting Manager",
        "url": "https://www.ycombinator.com/companies/atomic-industries/jobs/mkOsOnN-accounting-manager",
        "location": "Detroit",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "Atomic Industries closes $17M seed to exascale America’s industrial base | TechCrunch",
        "url": "https://techcrunch.com/2023/12/04/atomic-industries-closes-17m-seed-to-exascale-americas-industrial-base/",
        "date": "Dec 04, 2023"
      },
      {
        "title": "Tool and Die Software: Our Investment in Atomic Industries | by Toyota Ventures | Toyota Ventures | Medium",
        "url": "https://medium.com/toyota-ventures/tool-and-die-software-our-investment-in-atomic-industries-16f0127c58a2",
        "date": "Apr 05, 2022"
      },
      {
        "title": "Atomic Industries wants to change how your plastics are made | TechCrunch",
        "url": "https://techcrunch.com/2022/04/05/atomic-industries-pre-seed-funding/",
        "date": "Apr 05, 2022"
      }
    ],
    "launches": []
  },
  {
    "id": 22632,
    "name": "authzed",
    "slug": "authzed",
    "former_names": [
      "Petricorp",
      "Inc."
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ee578b781cb190a51362b9fda6dc57b36d74972d.png",
    "website": "https://authzed.com",
    "all_locations": "New York City, NY, USA; Remote",
    "long_description": "We build the tools companies need to provide performant and scalable authorization for their applications.\r\n\r\nWe’re founded by 3 successful entrepreneurs with expertise in enterprise software, most recently as leaders at Red Hat. Jake and Joey met on the APIs team at Google in 2010. They went on to found Quay, where Jimmy joined as their first hire. Over the past decade, they’ve changed the landscape for building and deploying software.",
    "one_liner": "Authorization Infrastructure securing AI at OpenAI, Zoom, & more",
    "team_size": 31,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1624982412,
    "tags": [
      "Developer Tools",
      "Security",
      "Open Source",
      "Data Engineering",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2021",
    "status": "Active",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Fully Remote"
    ],
    "stage": "Growth",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/authzed",
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        "body": "Hey folks 👋\n\nWe are thrilled to share SigNoz with the YC community today!\n\n[SigNoz](https://signoz.io?utm_source=launchYC&utm_medium=homepage) is an open source alternative to DataDog, New Relic which helps developers monitor their applications, trouble shoot problems and get proactive alerts\n\nWe have quite an active dev community with **11,000+** github stars, **1800+** members in our slack community and **80+** contributors across our repos.\n\n**😫 Problem**\n\n* Engineering teams are frustrated with using different tools for different telemetry signals like metrics, traces and logs. Correlating across different tools is super critical for teams to get value out of their telemetry data and solve issues faster.\n* Using proprietary vendor instrumentation code, locks you in to a vendor as it is difficult to change your instrumentation at a later stage.\n* Sending all data to vendor cloud may have privacy and security concerns for some users esp. who have customer PII data or have to maintain a tighter security posture\n\n**🚀 Why SigNoz?**\n\n1. Single pane of glass for metrics, traces and logs in a single application. Ability to correlate across different telemetry signals very easily.\n2. Natively based on [OpenTelemetry](https://opentelemetry.io) - and emerging open source standard for instrumentation and telemetry collection.\n3. Uses OLAP datastore (ClickHouse) which makes aggregation queries 10x faster compared to traditional DBs. \\\n   More than 50-60% of observability related queries are aggregation queries like group by, sum, count where users want to aggregate their data\n4. Can be self hosted easily. Keep all observability data in your own cloud.\n\n💻 **Demo**\n\nHere’s a quick demo of the product\n\n[Demo Video](https://youtu.be/Tl3Cz8tz4R8)\n\n💪 **Logs Performance Benchmark**\n\nWe also published a performance benchmark recently on how SigNoz logs product performs compared to other open source logs solutions like Elastic\n\n[https://signoz.io/blog/logs-performance-benchmark/](https://signoz.io/blog/logs-performance-benchmark/?utm_source=launchYC&utm_medium=logs-benchmark)\\\n\\\n**🙏 Asks**\n\nTry out SigNoz and share your feedback on how it can be improved. Here’s our github repo - <https://github.com/signoz/signoz>\n\nHave any questions? Join our [slack community](https://signoz.io/slack?utm_source=launchYC&utm_medium=slack-community) and drop a note\n\n😎 **What do we do for fun?**\n\nWe are a lean team constantly re-imagining the future of observability. Here’s a picture of our team from a recent workation at Goa\n\n![uploaded image](/media/?type=post&id=68621&key=user_uploads/95650/4a4d8bd7-7975-4e43-bc1e-394c7859d63d)\n\n![uploaded image](/media/?type=post&id=68621&key=user_uploads/95650/02c70ae9-d6a7-4fc3-97d5-5edd635dc5b9)\n\n",
        "url": "https://www.ycombinator.com/launches/Hqn-signoz-open-source-alternative-to-datadog-new-relic",
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        "created_at": "2023-01-23T13:19:49.300Z"
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        "title": "With a focus on patients with chronic illness, Nourish hopes to help Americans eat better • TechCrunch",
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        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 106708,
        "title": "Principal Product Architect",
        "url": "https://www.ycombinator.com/companies/cyble/jobs/hJ0oibW-principal-product-architect",
        "location": "US / TX, US / Remote (US; TX, US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $200K",
        "equity_range": "",
        "experience": "11+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 110598,
        "title": "Technical Support Lead",
        "url": "https://www.ycombinator.com/companies/cyble/jobs/88jXu8s-technical-support-lead",
        "location": "Bengaluru, KA, IN / Bengaluru, Karnataka, IN",
        "type": "Full-time",
        "role": "Engineering",
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        "visa": "US citizen/visa only",
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        "id": 110762,
        "title": "QA Engineer",
        "url": "https://www.ycombinator.com/companies/cyble/jobs/4Vsfqmq-qa-engineer",
        "location": "Bengaluru, KA, IN / Bengaluru, Karnataka, IN",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$15K - $25K",
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        "experience": "3+ years",
        "visa": "US citizen/visa only",
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      },
      {
        "id": 110828,
        "title": "Customer Success Manager (Associate)",
        "url": "https://www.ycombinator.com/companies/cyble/jobs/PIjWfjW-customer-success-manager-associate",
        "location": "AU / Remote (AU)",
        "type": "Full-time",
        "role": "Support",
        "role_type": null,
        "salary_range": "$80K - $100K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
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    "news": [
      {
        "title": "Threat intelligence startup Cyble lands $24M investment | TechCrunch",
        "url": "https://techcrunch.com/2023/07/31/threat-intelligence-startup-cyble-lands-24m-investment/",
        "date": "Jul 31, 2023"
      },
      {
        "title": "Darkweb And Cybercrime Monitoring Startup Cyble Announces US $10 Million in Series A Funding | Business Wire",
        "url": "https://www.businesswire.com/news/home/20220215006151/en/Darkweb-And-Cybercrime-Monitoring-Startup-Cyble-Announces-US-10-Million-in-Series-A-Funding",
        "date": "Feb 22, 2022"
      }
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    "launches": [
      {
        "id": 112785,
        "title": "MalwareAnalyzer: Static scanning, real detonation, an interactive live VM, and a threat graph you can pivot through",
        "tagline": "We just crossed 500K samples analyzed - free for anyone here.",
        "body": "Hey all - Cyble (YC W21) here. We've been heads-down on MalwareAnalyzer (<https://malwareanalyzer.com>): a public malware analysis and threat intelligence platform. Submit a file, a URL, or a hash and get a verdict backed by real evidence. Public analysis is free and unlimited, and no account is required.\n\nWe just crossed 500,000 samples analyzed, which felt like a reasonable excuse to finally post here.\n\n**What's actually in it**\n\n**Multi-engine static scanning.** Free and open engines (ClamAV, YARA, hash feeds, static tooling) run locally; third-party AV engines run on an isolated in-VPC Windows scanner. The report shows only the engines that actually ran — no padded vendor list.\n\n**Real sandbox detonation.** We execute the sample, not just scan it. Full behavior capture across process, file, registry and network activity.\n\n**Interactive live-VM analysis.** Take the wheel mid-detonation: click through installers, dismiss dialogs, trigger the behavior that only fires on user interaction. Choose your guest OS, network mode and engine — and diff two builds side by side.\n\n**URL and phishing analysis.** Paste a link and get the redirect chain, hosting and verdict without touching it yourself.\n\n**Queryable threat-intelligence graph.** Pivot from a sample out to infrastructure, families and related samples. Search the whole corpus by content, indicator, MITRE technique or family — then save it as a standing hunt and get notified when something new matches.\n\n**ATT&amp;CK mapping with receipts.** Every technique is attributed to its source (static capa rule vs. observed at runtime) with confidence weights, plus rule-set hashes so a report is reproducible.\n\n**Reports that admit what they don't know.** If an analysis tier fails to complete, the report is marked degraded and queued for re-analysis rather than presented as clean coverage. A report with no findings _and_ no degradation notice is a real negative result.\n\n**An API with no key required.**\n\n\\`\\`\\`\n\ncurl -X POST <https://malwareanalyzer.com/v1/submit> \\\\\n\n  -H 'content-type: application/json' \\\\\n\n  -d \"{\\\\\"fileName\\\\\":\\\\\"sample.bin\\\\\",\\\\\"fileBase64\\\\\":\\\\\"$(base64 &lt; sample.bin | tr -d '\\\\n')\\\\\"}\"\n\n\\`\\`\\`\n\nReturns a task id and a report URL. Submissions are unlimited; lookups are capped at 1,000/day per IP.\n\n**Why this might matter even if you're not a security company**\n\nSomeone on your team is eventually going to get a strange attachment, an unsigned installer from a vendor, or a \"recruiter\" link that smells wrong. Drop it in and get an answer in about a minute - better than a Slack thread of guesses.\n\nFree covers submissions and full reports. Premium compute (private analysis, deep URL scans, the AI assistant) runs on credits, and every account starts with a free grant.\n\nHappy to go deep on any of this - the interactive sandbox was by far the hardest part to get right. Feedback, bug reports and \"your report was wrong about my file\" all very welcome.",
        "url": "https://www.ycombinator.com/launches/TL7-malwareanalyzer-static-scanning-real-detonation-an-interactive-live-vm-and-a-threat-graph-you-can-pivot-through",
        "votes": 2,
        "created_at": "2026-08-31T15:04:07.208Z"
      },
      {
        "id": 80316,
        "title": "AmIBreached.com by Cyble: The ultimate data breach monitoring solution 🔒",
        "tagline": "Your AI-powered sentinel against data breaches.",
        "body": "👋 We're thrilled to announce the launch of AmIBreached.com, the most advanced and comprehensive data breach detection and monitoring platform on the market.\n\nAs data breaches continue to rise, we've been working tirelessly to develop a solution that empowers individuals and businesses to safeguard their sensitive information. With AmIBreached.com, you can now have peace of mind knowing that your data is secure.\n\n🔍 Key Features of AmIBreached.com:\n\n* Advanced breach detection algorithms that continuously scan the web for compromised data 🚨\n* Intuitive dashboard for easy monitoring and management of your data security 📊\n* Real-time alerts to keep you informed of any potential breaches 📩⚡\n* Seamless integration with popular tools and platforms for a streamlined workflow 🔧🤝\n* Customizable security settings to fit your unique needs 🎚️🔐\n\n👨‍💻👩‍💻 Whether you're an individual looking to protect your personal information or a business aiming to secure your organization's data, AmIBreached has got you covered.\n\n🌍 Join the thousands of satisfied users who trust AmIBreached to keep their data safe and secure. Our cutting-edge technology and dedicated support team are here to ensure your peace of mind in the digital world.\n\n[**Try it out today**](http://amibreached.com/)**. We'd love to hear your thoughts and feedback! Don't hesitate to reach out to our team with any questions or suggestions.**",
        "url": "https://www.ycombinator.com/launches/KtQ-amibreached-com-by-cyble-the-ultimate-data-breach-monitoring-solution",
        "votes": 92,
        "created_at": "2024-04-22T15:23:29.341Z"
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      {
        "id": 73802,
        "title": "Odin - Attack surface monitoring and internet scanning for everyone",
        "tagline": "Proactively uncover security risks in your public-facing infrastructure before cybercriminals can exploit them.",
        "body": "We're excited to share that we launched [Odin](https://getodin.com), our new attack surface monitoring capability!🎉 It's available to try out now at [**getodin.com**](http://getodin.com).\n\n**About**: With its ability to scan the entire IPv4 space, Odin delivers unprecedented visibility into your external attack surface. 🕵️‍♂️\n\n**Key benefits:**\n\n✔️ Catalogs over 100+ internet-facing services to reveal your complete digital footprint\n\n✔️ Builds a comprehensive inventory of hosts, domains, subdomains, certificates, images and more\n\n✔️ Enables easy discovery of unknown assets, misconfigurations, risks\n\n✔️ Provides continuous monitoring for any changes\n\n✔️ Identifies vulnerabilities before attackers can exploit them ⚠️\n\nBy leveraging Odin's unmatched coverage, organizations gain total visibility and control over their attack surface. 💪\n\nOdin represents a significant breakthrough in empowering teams to proactively secure external assets before threats emerge. 🔒\n\nBy signing up, you can:\n\n✅ Test drive the capabilities\n\n✅ Provide key insights to improve the product\n\n✅ Help shape Odin's future\n\n✅ Access SDK: [**https://github.com/cybledev/odin-sdk-go**](https://github.com/cybledev/odin-sdk-go)\\\n[**https://github.com/cybledev/odin-sdk-python**](https://github.com/cybledev/odin-sdk-python)\n\nWe can't wait for you to be among the first to kick the tires on Odin, and let us know your thoughts. Please sign up and play around with the product. 🙏\n\nAnd if you find Odin useful, we'd really appreciate you sharing it with your network as we gear up for the official launch.🚀\n\nLet us know if you have any questions! Excited to hear what you think.\n\nThank you!\n\nCyble Team ([www.cyble.com](http://www.cyble.com))",
        "url": "https://www.ycombinator.com/launches/JCM-odin-attack-surface-monitoring-and-internet-scanning-for-everyone",
        "votes": 90,
        "created_at": "2023-08-04T03:35:23.921Z"
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    "long_description": "Gridware exists to enhance and protect the mother of all networks: the electrical grid. The grid touches everyone and makes our modern economy possible. But it’s also fragile. When the grid is compromised, everything grinds to a halt, and the consequences can be dire: wildfires burn, land is destroyed, property is damaged, progress stops, and lives are lost.  \r\n\r\nOur team builds smart sensors that help utility companies to immediately detect, find, and fix outages and take steps to prevent new outages, and other related disasters, from happening at all. The need for power will only increase. We protect the grid of today while we build the grid of tomorrow.  \r\n\r\nGridware is privately held and backed by the best climate-tech and Silicon Valley investors. We are headquartered in San Francisco",
    "one_liner": "Protecting the grid today, preparing the grid for tomorrow",
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    "industry": "Industrials",
    "subindustry": "Industrials -> Energy",
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        "answer": "Gridware is solving the critical problem of detecting faults in the electrical grid, particularly in remote areas where infrastructure is aging and climate risks are increasing. Faults like downed power lines and equipment failures can lead to devastating consequences, including wildfires, outages, and costly repairs. Traditional monitoring systems are slow, inaccurate, and expensive to maintain, which is why we developed advanced sensors to detect and mitigate these issues in real-time. We decided to work on this because the grid is the backbone of modern society, and improving its safety and reliability is essential for meeting growing energy demands and combating the increasing threat of extreme weather."
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        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "Gridware’s long-term vision is to create a world where the electrical grid is resilient and adaptable to the demands of the future. By providing real-time fault detection and predictive insights, we aim to prevent outages, reduce wildfire risks, and enhance grid reliability. If we succeed, communities will experience fewer disruptions, safer environments, and a grid that can sustainably support the increasing demands of electrification and renewable energy integration. Our success means a future where the grid not only powers progress but also protects lives and infrastructure."
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    "url": "https://www.ycombinator.com/companies/gridware",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2021/gridware.json",
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    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/gridwareinc",
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        "full_name": "Tim Barat",
        "title": "Founder",
        "founder_bio": "Former Lineman, Electrician, Engineer, now Entrepreneur working on California's wildfire problem.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/timothybarat/",
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        "full_name": "Omar B",
        "title": "Founder",
        "founder_bio": "Co-founder @Gridware",
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        "linkedin_url": "https://www.linkedin.com/in/abdulrahman-bin-omar-42330bb2/",
        "x_url": "https://twitter.com/A_binomar1",
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        "full_name": "Hall Chen",
        "title": "Founder/CTO",
        "founder_bio": "Building the grid of the future",
        "is_active": true,
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        "title": "Senior Software Engineer, Fleet Management",
        "url": "https://www.ycombinator.com/companies/gridware/jobs/NIqociw-senior-software-engineer-fleet-management",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
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        "experience": "6+ years",
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      {
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        "title": "Senior Software Engineer, Backend",
        "url": "https://www.ycombinator.com/companies/gridware/jobs/K6L1r6R-senior-software-engineer-backend",
        "location": "San Francisco, CA, US",
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        "experience": "6+ years",
        "visa": "US citizen/visa only",
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        "title": "Senior Software Engineer, Frontend",
        "url": "https://www.ycombinator.com/companies/gridware/jobs/iH7i7Na-senior-software-engineer-frontend",
        "location": "San Francisco, CA, US",
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        "title": "Senior Software Engineer, Active Grid Response",
        "url": "https://www.ycombinator.com/companies/gridware/jobs/b0994Oy-senior-software-engineer-active-grid-response",
        "location": "San Francisco, CA, US",
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        "title": "Senior Firmware Engineer, Wireless Communications ",
        "url": "https://www.ycombinator.com/companies/gridware/jobs/C1f3KuA-senior-firmware-engineer-wireless-communications",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
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        "experience": "6+ years",
        "visa": "Will sponsor",
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        "title": "Gridware Raises $55 Million Growth Round to Accelerate U.S. Deployments and Support Global Expansion",
        "url": "https://www.gridware.io/news/gridware-raises-55-million-growth-round-to-accelerate-u-s-deployments-and-support-global-expansion",
        "date": "Nov 17, 2025"
      },
      {
        "title": "Gridware Raises $5.3 Million In Seed Round For Its Tech To Eliminate Suburban Wildfires | CleanTechnica",
        "url": "https://cleantechnica.com/2021/06/01/gridware-raises-5-3-million-in-seed-round-for-its-tech-to-eliminate-suburban-wildfires/",
        "date": "Jun 01, 2021"
      },
      {
        "title": "In a YC ‘power’ play, Gridware girds $5.3M to save humanity from weather – TechCrunch",
        "url": "https://techcrunch.com/2021/05/24/gridware-seed/",
        "date": "May 24, 2021"
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        "title": "Gridware is building early-detection sensors for power grid failures and wildfires – TechCrunch",
        "url": "https://techcrunch.com/2021/02/17/gridware-is-building-early-detection-sensors-for-power-grid-failures-and-wildfires/",
        "date": "Feb 17, 2021"
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    "name": "Firstbase.io",
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    "all_locations": "New York City, NY, USA; Remote",
    "long_description": "Incorporation, compliance, bookkeeping, and taxes – all in one place.",
    "one_liner": "The all-in-one startup operating system",
    "team_size": 50,
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    "url": "https://www.ycombinator.com/companies/firstbase-io",
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    "year_founded": 2019,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/firstbase-io",
    "x_url": "https://twitter.com/tryfirstbase",
    "fb_url": "https://www.facebook.com/firstbaseio",
    "cb_url": "https://www.crunchbase.com/organization/firstbase-bf54",
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        "full_name": "Mark Milastsivy",
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        "founder_bio": "Founder&CEO of Firstbase.io. Based in NYC. ",
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        "linkedin_url": "https://www.linkedin.com/in/markmilastsivy/",
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        "location": "New York",
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        "id": 71545,
        "title": "Senior Front End Engineer",
        "url": "https://www.ycombinator.com/companies/firstbase-io/jobs/haeGk4f-senior-front-end-engineer",
        "location": "BR / MX / AR / CL / CO / UY / Remote (BR; MX; AR; CL; CO; UY)",
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        "salary_range": "$55K - $75K",
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      {
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        "url": "https://www.ycombinator.com/companies/firstbase-io/jobs/znQwk9j-growth-manager-paid-and-lifecycle",
        "location": "New York",
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        "url": "https://www.ycombinator.com/companies/firstbase-io/jobs/CU4bxwN-content-strategy-lead",
        "location": "New York",
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        "id": 82672,
        "title": "Head of Revenue",
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        "experience": "3+ years",
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        "id": 82679,
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        "location": "Remote / Remote (US)",
        "type": "Full-time",
        "role": "Finance",
        "role_type": null,
        "salary_range": "$30K - $36K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
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      {
        "id": 82681,
        "title": "Full Stack Engineer",
        "url": "https://www.ycombinator.com/companies/firstbase-io/jobs/KikfhC5-full-stack-engineer",
        "location": "Remote (LatAm) / Remote (US)",
        "type": "Full-time",
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    "news": [],
    "launches": [
      {
        "id": 79631,
        "title": "Agent Intro — Automate ongoing state compliance, free of charge",
        "tagline": "Monitor compliance, file reports, and register for payroll — all in one platform",
        "body": "A year and a half ago, we launched [Firstbase Agent](https://www.firstbase.io/agent) —  our all-in-one state compliance solution for startups. You appoint Firstbase as your registered agent in every state where you operate or have employees, and we receive and view notices from the government, give you reminders about compliance events, and monitor your compliance status in each state, file annual reports, BOI reports, and franchise taxes. We will also help you register and maintain your payroll accounts in any state where you want to hire any employee — this way, you can avoid paying extremely high EOR fees (often around \\~$700/employee/month) and instead hire an employee through your own entity. And, of course, we help you fulfill the legal obligation of having a registered agent in every state where you operate. \\\n\\\nOne huge difference between us and other state compliance providers is that we actually own and operate our own entities in all 50 states as a licensed commercial registered agent. So we have direct contact with the state and don’t have to rely on any third parties for anything.\n\nWhy it’s important: to give an example, if you hire an employee in a new state and need payroll accounts, your payroll tax registration partner will typically work with a network of registered agents in different states and won’t really have control over anything. They’ll often need that third party to sign off on forms, which slows things down and often leads to operational nightmares.\n\nNow, almost 15,000 companies are using Firstbase Agent, and we have decided to do something nice and give part of the functionality **_free of charge_**.\n\n![uploaded image](/media/?type=post&id=79631&key=user_uploads/604873/0ace0f6e-0c19-40fb-8a7c-5df9da57e478)\n\n\\\nMeet [**_Firstbase Agent Intro_**](https://firstbase.io/agent-intro?utm_source=bookface&utm_medium=organic-social&utm_campaign=bookface_V1) — the simplest way to manage state compliance. We’d love to get your feedback. And again, it’s free.\n\nAgent Intro is designed for founders who currently manage their business compliance outside of the Firstbase platform, and use a different commercial registered agent. Agent Intro includes three awesome features:\n\n1. 📁 **Initial beneficial ownership information (BOI) filing**: The U.S. Financial Crimes Enforcement Network requires all companies to file this on an ongoing basis, and we’ll take care of it for you!\n2. 2\\. 🚥 **Firstbase command center**: Get an instant overview of your compliance status in every state where your business operates.\n3. 3\\. ✅ **State compliance reminders**: We’ll track your deadlines and let you know about any required actions.\n\n![uploaded image](/media/?type=post&id=79631&key=user_uploads/604873/860e4f94-e0f4-46a7-9185-6d84d5748c93)\n\nNo more scrolling through different state websites to find due dates — we make it easy to track everything in one place.\n\nWe’ll be launching Agent Intro soon, and we would love to see you among its first users! Just visit the link below and join the waitlist to guarantee your spot.\n\nMuch love [❤️](https://emojipedia.org/red-heart)\n\n[https://firstbase.io/agent-intro?utm_source=launchyc&utm_medium=organic-social&utm_campaign=bookface_V1](https://firstbase.io/agent-intro?utm_source=bookface&utm_medium=organic-social&utm_campaign=bookface_V1)",
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        "title": "Firstbase Agent – Payroll Tax Registration & Ongoing Compliance for startups",
        "tagline": "Compliance-in-the-box for scaling companies: automate annual reports, franchise tax filings, payroll tax registrations, and get help with federal tax filings.",
        "body": "Hi YC! I’m so excited to announce the launch of our new product.\\\n\\\nFirstbase Agent handles your company's ongoing compliance in every state, so you can focus on scaling.\\\n\\\n_We are launching with three new plans:_\\\n\\\n**Agent Light ($99/year)** – appoint Firstbase as your registered agent in every state where you operate, receive and view notices from the government, and get reminders about compliance events, such as annual reports, franchise tax filings, and more. It’s a better, more automated registered agent product for growing startups. \\\n\\\nNeed more that just reminders? Meet Agent Autopilot and Agent Payroll!\\\n\\\n**Agent Autopilot ($299/year)** – get everything from Agent Light + put all ongoing filings on autopilot. Firstbase will generate and file your annual reports, franchise tax reports, and more.\n\n![](https://lh3.googleusercontent.com/VG5iPduzy864stPMJaqgDAFkNPbEAUNMXmLIvcw_oBeqEe-TEDLAm04J8EXHX_KtvPNYHYXKZAxg6XkKl483opBm8PNtjkwydVy2qkxU2tcJqN9VVZdvVRxuCiMfOoZMDi9VPzmmN0ZEhjmI94bzmek_E56inCPYm3tdEiJUwW4gJht5CQPhFPE2JJP2tA)\n\n\\\n_Special offer for foreign founders_: if you purchase Autopilot, and appoint us as your Agent in the state of incorporation, you will get access to a self-service tool for forms 5472 & pro-forma Form 1120 for FREE! So if you are a foreign-owned US entity with filing obligations in the US, you will be able to file it directly from your Firstbase dashboard!\\\n\\\n\\\n**Agent Payroll ($599/year)** – register for payroll in any of the 50 states to hire employees compliantly. Get payroll account numbers. Put ongoing compliance – and all filings – in each of those states on autopilot.  \\\n\\\nAgent Payroll also includes a feature called Track (launching in Q1 2023) – we will retrieve all notices, balances and more, directly from your online accounts with each of the states and display them in your Firstbase dashboard.\n\n![](https://lh6.googleusercontent.com/-mlHwHmVUjf-zPkgmJvAitqhht6by0e3P13BPWYzel5zS0g7pUy47fLJcfJ7ncexagzFJ5EKyxd4QCTCj4Bxw8re1eGZSj8kpqf4ziAUrEbJ-3RbqSdYyI41gjXdoqAUC-qe1anJ0IMB2sY3OSsSqLiBdH5gtdyr7CQX4CqQaIZT-2goD_GHy5hY9FXXVg)\n\n\\\n\\\nSign up as an existing business here: <https://www.firstbase.io/agent> or use Firstbase Start to launch a new company:)\\\n\\\nAlso email me with any questions: [mark@firstbase.io](mailto:mark@firstbase.io)\\\n\\\n_PS Each plan will require you to appoint us as your registered agent so we can process filings on your behalf, take care of your compliance, and give you access to all features. If you already appointed someone as your registered agent in one of the states where you are purchasing Agent, we will take care of the change-of-agent paperwork during onboarding, free of charge._",
        "url": "https://www.ycombinator.com/launches/HiM-firstbase-agent-payroll-tax-registration-ongoing-compliance-for-startups",
        "votes": 13,
        "created_at": "2022-12-28T16:55:06.329Z"
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    "all_locations": "New York City, NY, USA; Remote",
    "long_description": "Restaurants today rely on dozens of disconnected tools to manage ordering, loyalty, marketing, and operations. Per Diem replaces that fragmented software stack with AI agents that build and maintain branded apps, run marketing campaigns, manage loyalty, automate operations, and help restaurants grow first-party sales. Built natively on Square, 800+ brands use Per Diem to power more than 500,000 monthly orders as their operating system for commerce, customer retention, and growth.",
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        "full_name": "Tomer Molovinsky",
        "title": "Founder",
        "founder_bio": "After building products at OpenTable and Resy, I co-founded Per Diem (YC W21) to bring Starbucks-level mobile apps to independent restaurants. We launch branded apps in hours and use AI to automate loyalty, marketing, and growth. Per Diem is now the top-rated loyalty app on Square, trusted by Oakberry, Chip City, and 500+ brands.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/tomermolo",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/46c783e9276012a049c24e0cd675935d3145dfc0.jpg"
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        "full_name": "Doron Segal",
        "title": "Founder",
        "founder_bio": "Hey, I’m Doron, co-founder and CTO of Per Diem.\nPer Diem is the AI OS for brick-and-mortar businesses, giving local operators CTO and CMO as a service through ordering, loyalty, marketing, etc...\nI love building products that move from idea to real usage, especially when they help small businesses operate better.\nBefore Per Diem, I worked at Saildrone, OpenTable, Apple, Beats Music, Ubiquiti.\nI’m also a dad and traveler. Always happy to meet new people and help other YC founders where I can.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/doronsegal/",
        "x_url": "https://twitter.com/segaldoron",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/86795113a369405c5916cc96d6c8bcf324102a49.jpg"
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        "id": 71011,
        "title": "Per Diem is expending and looking for a React Native experience developer ",
        "url": "https://www.ycombinator.com/companies/per-diem/jobs/yTpvIRZ-per-diem-is-expending-and-looking-for-a-react-native-experience-developer",
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        "url": "https://www.ycombinator.com/companies/per-diem/jobs/Ep5mOGJ-per-diem-is-expanding-and-looking-for-a-next-js-experience-developer",
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    "website": "https://www.camber.health/",
    "all_locations": "New York City, NY, USA",
    "long_description": "We’re on a mission to make behavioral health more available and accessible. We're backed by a16z, YCombinator, Craft, and many others to make this dream a reality.\r\n\r\nAt Camber, we build software for clinicians to improve quality of care. We streamline and replace manual efforts so clinicians can focus on what they do best: providing high-quality care.\r\n\r\n—\r\n\r\nHealthcare is broken. We think this is a problem worth solving, and we think we know how to solve it. Interested? Check out https://jobs.ashbyhq.com/camber.\r\n",
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    "team_size": 101,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Healthcare IT",
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    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2021/camber-2.json",
    "year_founded": 2021,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/camberhealth",
    "x_url": "https://twitter.com/juniperplatform",
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    "founders": [
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        "user_id": 238842,
        "full_name": "Christophe Rimann",
        "title": "Founder",
        "founder_bio": "Likes cooking. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/christopherimann/",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cebcc5d274ac48c465fe0cf16e2da829120a43dc.jpg"
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        "user_id": 587668,
        "full_name": "Celina Qi",
        "title": "Founder",
        "founder_bio": "Former health care consultant at McKinsey. Harvard '19. Aspiring home baker. ",
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        "linkedin_url": "https://www.linkedin.com/in/celinaqi/",
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      {
        "user_id": 586382,
        "full_name": "Nathan Lee",
        "title": "Founder",
        "founder_bio": " ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/nathanlee-145/",
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        "id": 51104,
        "title": "Senior Software Engineer",
        "url": "https://www.ycombinator.com/companies/camber-2/jobs/umDRrTM-senior-software-engineer",
        "location": "New York, NY",
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        "role_type": "Full stack",
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        "location": "New York, NY",
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        "role_type": "Full stack",
        "salary_range": "$210K - $225K",
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        "experience": "6+ years",
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      {
        "id": 84625,
        "title": "Operations Lead",
        "url": "https://www.ycombinator.com/companies/camber-2/jobs/XS8PScV-operations-lead",
        "location": "New York, NY",
        "type": "Full-time",
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        "equity_range": "",
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      {
        "id": 88197,
        "title": "Sales Development Representative",
        "url": "https://www.ycombinator.com/companies/camber-2/jobs/7NrcOor-sales-development-representative",
        "location": "New York, NY",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$60K",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
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      },
      {
        "id": 88198,
        "title": "Account Executive",
        "url": "https://www.ycombinator.com/companies/camber-2/jobs/DxYF8Sx-account-executive",
        "location": "New York, NY",
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        "role": "Sales",
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        "salary_range": "$100K - $240K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
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      },
      {
        "id": 92486,
        "title": "Senior Data Engineer",
        "url": "https://www.ycombinator.com/companies/camber-2/jobs/hS3soqw-senior-data-engineer",
        "location": "New York, NY",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$180K - $230K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 96218,
        "title": "Software Engineer",
        "url": "https://www.ycombinator.com/companies/camber-2/jobs/39Cu2cT-software-engineer",
        "location": "New York, NY",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $190K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 103076,
        "title": "Technical Recruiter",
        "url": "https://www.ycombinator.com/companies/camber-2/jobs/38ATrZE-technical-recruiter",
        "location": "New York, NY",
        "type": "Full-time",
        "role": "Recruiting & HR",
        "role_type": "Recruiter",
        "salary_range": "$120K - $150K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 107154,
        "title": "Enterprise Insurance Operations Lead",
        "url": "https://www.ycombinator.com/companies/camber-2/jobs/H87Eoid-enterprise-insurance-operations-lead",
        "location": "New York, NY",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$125K - $160K",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
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      {
        "id": 95162,
        "title": "Popl - Make Conferences & Events Your Best GTM Channel",
        "tagline": "Imagine one AI-powered lead capture platform that finally makes your events worth it.",
        "body": "# ⚡️ **TLDR**\n\n[Popl](https://hubs.ly/Q03RBCTQ0) is the universal lead capture platform for in-person events. Scan any event badge, business card, or QR code, instantly enrich the lead with accurate data, and sync it into your CRM with full attribution. Events have been stuck with outdated tools for too long. We’re bringing AI-powered enrichment and modern technology to a world ready for disruption.\n\n\\\nHey everyone! 👋\\\n\\\nI’m [Jason](https://www.linkedin.com/in/jasonalco/), co-founder & CEO at [Popl](https://hubs.ly/Q03RBCTQ0). We’re building the **universal lead capture and enrichment platform for in-person events** — helping companies instantly turn real-world conversations into measurable sales pipeline.\n\n# 🔥 **The Problem**\n\nCompanies (and startups, see data below!) spend **$20K–$1M+** per booth at conferences.\n\nThey send their best reps and team members. They fly the team out, book hotels, pay for meals, etc. They invest in beautiful booths and marketing.\n\nBut when it comes to capturing leads, most still rely on:\n\n* Clunky badge scanner apps that barely work\n* Writing info down in Apple notes or collecting LinkedIns\n* CSVs from event organizer delivered _weeks_ after the event\n* No CRM integrations meaning slow speed to lead/follow-ups\n\n![uploaded image](/media/?type=post&id=95162&key=user_uploads/479381/85854025-5908-4824-bf0e-80d2b029de7f)\n\nThe result?\n\n**Slow follow-ups (leading to your competitors winning more), lost leads, and lower ROI on events.**\n\nWhat if there was a platform that solved all of this, that GTM teams could set up once and then use across every single event…\n\n# 🚀 **Our Solution**\n\nPopl provides your company with a unified in-person GTM platform that:\n\n* Scans any event badge, business card, or LinkedIn QR with the same app every time.\n* Enriches each scan with accurate contact + company data (work email, phone numbers, LinkedIn, company revenue, tech stack, HQ location, etc.)\n* Allows you to add context like notes, qualifying questions, and tags to each lead.\n* Syncs it automatically to your CRM in seconds — HubSpot, Salesforce, Marketo, Zoho, Dynamics, Monday, Slack, etc all natively supported.\n* Manage everything through event campaigns which also show leaderboards, pipeline generated, and ROI.\n\n**All while your team members stay focused on their conversations, not the tools. Plus no more waiting for CSV uploads, manual data entry, or other post-event headaches.**\n\nhttps://www.youtube.com/watch?v=HVAza1f74MU\n\n![uploaded image](/media/?type=post&id=95162&key=user_uploads/479381/4c32029c-d3b5-4bc1-8740-f89166adf1e4)\n\n![uploaded image](/media/?type=post&id=95162&key=user_uploads/479381/2eec6c29-0795-4dbe-bca9-354b185f75b6)\n\n# **🤔 Is This For Us?**\n\nNow some might assume events are only for big, legacy companies and not for startups or mid-market companies. But here’s what we’re seeing:\n\n1️⃣ With AI flooding channels like cold email and cold calling, in-person GTM is surging. People still want to buy from people (and especially not from AI), and when digital outreach feels saturated and impersonal, meeting potential buyers face-to-face gives you a real edge.\n\n2️⃣ The GTM data on startup companies shared by [@Richard Lee](https://www.linkedin.com/in/zrlee/) showed a hidden insight that “Attending conferences” is the 3rd most popular growth strategy for YC startups. This shows events are not just a nice-to-have, they are a core growth lever.\n\n3️⃣ We’re already seeing modern, fast-growing companies adopt Popl — like Square, Hammerspace, MavenAGI, Turing, Vercel, and Wiz. Events aren’t just for legacy enterprises; they’re becoming a key channel for the next generation of breakout startups.\n\n![uploaded image](/media/?type=post&id=95162&key=user_uploads/479381/58dc8dbf-aec3-4f44-b902-15d055feeecd)\n\n# 🤝 **Next Steps**\n\nIf you want to get started with Popl, or are interested in learning more, book a demo with us here:[ ](https://popl.co/pages/request-a-demo)[**Book a Demo**](https://hubs.ly/Q03RBCTQ0)\n\nWe especially love providing value to the YC community, so let us know on your demo that you came from this Launch YC post and we’ll give you a significant discount!\n\n**THANK YOU! 🚀**",
        "url": "https://www.ycombinator.com/launches/Oks-popl-make-conferences-events-your-best-gtm-channel",
        "votes": 102,
        "created_at": "2025-11-13T18:39:43.622Z"
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        "title": "Moonvalley.ai - Generate cinematic videos with AI",
        "tagline": "Generate HD, 16:9 cinematic film quality footage from text prompts",
        "body": "**TL;DR**\n\nHey YC - thrilled to introduce you to Moonvalley ([moonvalley.ai](https://moonvalley.ai/)), the most powerful text-to-video AI model ever built.\n\n**What is it?**\n\nY’all remember the holodeck in Star Trek? We’re on a mission to build it.\n\nIf you’re familiar with Stable Diffusion, Dall-E or Midjourney, we’re the video counterpunch to them. We’re proud to unveil the fruit of many months of blood, sweat, tears and GPUs - the most powerful AI video generation engine ever built.\n\nWith Moonvalley, you can:\n\n* Generate HD, 16:9 cinematic film quality footage from text prompts\n* Choose from several different styles, from hyperrealism, to anime, to fantasy, & more\n* Prompt engineer and compose clips to your liking\n\nIn Beta, Moonvalley is completely free, so hop on over to our Discord and join us: <https://discord.gg/moonvalley>\n\n**Community examples**\n\nHere are a few community-generated videos (see our website for HD versions): <https://moonvalley.ai>\n\n![uploaded image](/media/?type=post&id=75337&key=user_uploads/292348/2441ac5f-4ed3-4b1f-b16c-a42ae1f7cf5b)\n\n![uploaded image](/media/?type=post&id=75337&key=user_uploads/292348/9fd01ae5-a39c-4105-94fc-2440783c0ed9)\n\n![uploaded image](/media/?type=post&id=75337&key=user_uploads/292348/6e1adf70-302d-4a19-9e33-6de6e20b3300)\n\n**Our Journey**\n\nYou may know us from [draft.co](http://draft.co/). We’ve spent years in generative AI for content creation (primarily text and graphics).\n\nOnce we saw text-to-video progress in the market wasn’t happening nearly fast enough, we threw all of our time and resources into building a world class AI team and going after the problem ourselves.\n\n---\n\n**What We're Looking For**\n\n* Test drive [**Moonvalley.ai**](https://moonvalley.ai)\n* Share it on social - plz help us amplify\n* Offer us your candid feedback. Good generations, bad generations, help!\n* If you know key people in entertainment who might be interested in collaborating, introductions would be invaluable.\n\n---\n\n**Contact**\n\nFor inquiries or collaborations, reach out directly at [**founders@moonvalley.ai**](mailto:founders@moonvalley.ai)",
        "url": "https://www.ycombinator.com/launches/Jb7-moonvalley-ai-generate-cinematic-videos-with-ai",
        "votes": 24,
        "created_at": "2023-10-03T20:20:11.396Z"
      }
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    "id": 23530,
    "name": "Waydev",
    "slug": "waydev",
    "former_names": [
      "Waydev",
      "Waydev AI"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/90694f4bdb7eb8f17b02f85faee3e3455edb365b.png",
    "website": "https://waydev.co/",
    "all_locations": "Bucharest, Romania; Remote",
    "long_description": "Waydev maps AI velocity across the SDLC — built on DORA, SPACE, and DX — turning developer tool data into board-ready evidence of adoption, impact, and ROI.",
    "one_liner": "Engineering intelligence for AI transformation",
    "team_size": 13,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1616455133,
    "tags": [
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      "Analytics",
      "AI",
      "AI Assistant"
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    "isHiring": true,
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    "batch": "Winter 2021",
    "status": "Active",
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    "regions": [
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      "Europe",
      "Remote",
      "Fully Remote"
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    "stage": "Growth",
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    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": [
      {
        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "I started my entrepreneurial journey early, building my first company in Romania at 21. Over the next decade I launched multiple products and learned how hard it is for engineering teams to explain the value they create. The idea for Waydev came from firsthand frustration while trying to understand developer output beyond gut feelings and subjective dashboards. There was no clear way to measure engineering performance using system data, so I decided to build it myself. "
      },
      {
        "question": "How did you decide to apply to Y Combinator? What was your experience applying, going through the batch, and fundraising at demo day?",
        "answer": "I applied to YC because I believed Waydev could become a category defining product and I wanted to sharpen our execution with the best early stage accelerator in the world. It wasn’t an easy path. I applied 13 times before being accepted, and each rejection forced me to refine the idea, tighten the pitch, and improve the product. When we finally joined YC, the experience was transformative. The batch pushed us to move faster, simplify our messaging, and talk to customers every day. Demo Day helped us raise capital and accelerate our trajectory. More importantly, YC gave us a mindset of relentless iteration that still defines how we operate."
      },
      {
        "question": "How have you kept in touch with the YC community and continued to use YC resources & programs since the batch ended?",
        "answer": "YC has remained a core part of our company. I’m active in Bookface, talking to other founders about growth, engineering metrics, and the future of AI driven development. Many of our customers and partners come through YC referrals. We share learnings with other B2B and infra founders, and we rely on YC’s internal forums, templates, and tools for fundraising, hiring, and pricing decisions. YC helped us get started, but the community is what continues to compound our progress."
      },
      {
        "question": "What's the history of your company from getting started until the present day? What were the big inflection points?",
        "answer": "Waydev started as a simple tool to analyze Git activity. The product evolved quickly as customers pushed us toward deeper insights and enterprise scale. Key moments included securing our first Fortune 500 customers, launching integrations with GitHub, GitLab, Bitbucket, and Azure DevOps, and building out enterprise features like SSO, RBAC, and advanced reporting.\r\n\r\nA major inflection point came when we recognized that engineering intelligence needed an AI native interface. This led to the launch of Waydev AI, our conversational layer that lets leaders ask questions and get insights instantly without dashboards. Today, we support both large enterprises and fast growing teams, and we continue to integrate AI deeply into how engineering work is analyzed and measured."
      },
      {
        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "Engineering is the most expensive function in modern companies, but historically it has been the hardest to measure. Leaders rely on anecdotal feedback, siloed dashboards, or lagging indicators that fail to capture the full picture of productivity, quality, and delivery. This lack of visibility leads to poor decisions, misalignment, reactive planning, and inefficient budgets.\r\n\r\nWe solve this by giving teams a unified intelligence layer that turns system data into clear, actionable insights. The problem is huge because every company depends on software, and engineering performance directly affects speed, cost, and competitiveness. I decided to work on this because I experienced the pain myself as a founder and saw thousands of teams navigating the same challenge."
      },
      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "Our long term vision is to build the intelligence engine behind every engineering organization. If we succeed, companies will understand their engineering health as clearly as they understand revenue or churn. Leaders will make better decisions, teams will work in a more predictable and balanced way, and engineering will become a transparent, measurable, and optimized function. In the future we imagine, every company will be able to ask one question, “What is happening in engineering and what should we do next?” and Waydev will deliver the answer instantly."
      }
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    "url": "https://www.ycombinator.com/companies/waydev",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2021/waydev.json",
    "year_founded": 2017,
    "city": null,
    "country": "RO",
    "linkedin_url": "https://www.linkedin.com/company/waydev",
    "x_url": "https://twitter.com/waydevco",
    "fb_url": "https://www.facebook.com/waydevco",
    "cb_url": "https://www.crunchbase.com/organization/waydev",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/90694f4bdb7eb8f17b02f85faee3e3455edb365b.png",
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    "company_photos": [
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    "primary_partner": null,
    "founders": [
      {
        "user_id": 22643,
        "full_name": "Alex Circei",
        "title": "Founder",
        "founder_bio": "I'm Alex Circei, co-founder and CEO of Waydev (YC W21). I started my first company in Romania at 21 and have spent 18+ years building startups. In 2017 I launched Waydev, defining the Software Engineering Intelligence category — bootstrapped to profitability, recognized by Gartner and G2, and trusted by Fortune 500 teams at American Express, Caterpillar, Dropbox, and PwC.",
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        "linkedin_url": "https://www.linkedin.com/in/alexcircei",
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        "id": 43959,
        "title": "Head of Sales",
        "url": "https://www.ycombinator.com/companies/waydev/jobs/BFA4rwl-head-of-sales",
        "location": "Remote (RO; Austin, TX, US; San Francisco, CA, US)",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$50K - $140K",
        "equity_range": "0.10% - 0.20%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 85262,
        "title": "Head of Growth",
        "url": "https://www.ycombinator.com/companies/waydev/jobs/ecnmEt7-head-of-growth",
        "location": "Menlo Park, CA, US / Remote (US)",
        "type": "Contract",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$50 - $250 / hourly",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
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    "news": [
      {
        "title": "The question AI providers hope VPs of Engineering never ask",
        "url": "https://thenextweb.com/news/the-question-ai-providers-hope-vps-of-engineering-never-ask",
        "date": "Apr 20, 2026"
      },
      {
        "title": "'Tokenmaxxing' is making developers less productive than they think | TechCrunch",
        "url": "https://techcrunch.com/2026/04/17/tokenmaxxing-is-making-developers-less-productive-than-they-think/",
        "date": "Apr 17, 2026"
      },
      {
        "title": "Waydev Adds Ability to Track How Much AI Code Winds Up in Production - DevOps.com",
        "url": "https://devops.com/waydev-adds-ability-to-track-how-much-ai-code-winds-up-in-production/",
        "date": "Apr 16, 2026"
      },
      {
        "title": "How to Measure AI ROI on Your Engineering Team",
        "url": "https://waydev.co/how-to-measure-ai-roi-on-your-engineering-team/",
        "date": "Mar 17, 2026"
      },
      {
        "title": "How to Measure Engineering Productivity When AI Writes Code",
        "url": "https://waydev.co/when-ai-writes-the-code-what-do-we-measure/",
        "date": "Feb 17, 2026"
      }
    ],
    "launches": [
      {
        "id": 94663,
        "title": "Waydev AI: The ChatGPT for Engineering Intelligence",
        "tagline": "The first AI-native conversational platform that helps engineering leaders measure performance, track AI adoption, and understand how AI impacts delivery.",
        "body": "Hey, we’re Waydev, and we’re launching Waydev AI on YC and [ProductHunt.](https://www.producthunt.com/products/waydev?launch=waydev-ai)\n\n![uploaded image](/media/?type=post&id=94663&key=user_uploads/22643/9cf132dd-67ec-4ece-bed1-d5c53f6c5981)\n\n### https://youtu.be/0Pz5mRiLpzE?si=rIQV4WzzaGLLB31M\n\n### Problem\n\nEngineering leaders struggle to understand performance, delivery, and the real impact of AI across their teams. Traditional engineering intelligence tools require endless dashboard setup, data interpretation, and manual correlation between GitHub, Jira, and other sources.\n\nThese legacy platforms were never built for the AI era - making it hard to measure AI adoption, productivity, and team impact in a way that feels natural or conversational. Even newer tools are bolting on “AI features” rather than rethinking the experience from the ground up.\n\n### Solution\n\nWe built **Waydev AI**, the first **AI-native conversational platform for Engineering Intelligence**, designed so leaders can stop analyzing dashboards and start asking questions.\n\nWaydev AI transforms how engineering teams understand performance and delivery. Just connect your tools - GitHub, Jira, Cursor, and more—and start asking in plain English:\n\n* “What’s our AI adoption rate this quarter?”\n* “Which teams improved their cycle time the most?”\n* “How has AI impacted our delivery and bug rates?”\n\n#### Key Features\n\n💬 **Conversational Interface:** Chat directly with your data instead of digging through dashboards.\\\n🤖 **AI-Native Insights:** Instantly generate reports, visual charts, and performance breakdowns from natural-language questions.\\\n🔌 **Connect Your Stack:** Integrate GitHub, Jira, Cursor, and more in seconds.\\\n📈 **Dynamic Reports:** Save and share real-time insights that update automatically as your teams ship.\\\n🔍 **AI Adoption Metrics:** Track how generative AI tools like Copilot or Cursor are influencing developer productivity.\n\n### Our Asks\n\n🎯 Try **Waydev AI** today! Sign up at [waydev.co/ai](https://waydev.co/ai) and start asking your data.\\\n🚀 Support our [Product Hunt launch on October 15, 2025](https://www.producthunt.com/products/waydev?launch=waydev-ai)\\\n💼 We’re hiring engineers and AI researchers passionate about transforming the future of Software Engineering Intelligence.",
        "url": "https://www.ycombinator.com/launches/Ocp-waydev-ai-the-chatgpt-for-engineering-intelligence",
        "votes": 28,
        "created_at": "2025-10-15T07:14:08.221Z"
      }
    ]
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    "id": 23531,
    "name": "Authologic",
    "slug": "authologic",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c3450b6c428a44cabbdb63fad99fdd8860317192.png",
    "website": "https://authologic.com",
    "all_locations": "Warsaw, Masovian Voivodeship, Poland; Remote",
    "long_description": "Authologic is an orchestration and aggregation layer for local KYC & AML methods. We allow businesses to check the identity of their clients online using video/biometrics, banking data, and government issued digital IDs. Our API  allows a flexible definition of verification scenarios based on the risk profile of the client or risk involved in the given process.",
    "one_liner": "Stripe for online identity verification",
    "team_size": 44,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1616831029,
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    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2021",
    "status": "Active",
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      "Engineering, Product and Design"
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    "regions": [
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      "Europe",
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      "Fully Remote"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/authologic",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2021/authologic.json",
    "year_founded": 2020,
    "city": "Warsaw",
    "country": "PL",
    "linkedin_url": "https://www.linkedin.com/company/authologic",
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    "fb_url": null,
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    "founders": [
      {
        "user_id": 19997,
        "full_name": "Jarek Sygitowicz",
        "title": "Founder",
        "founder_bio": "Previously co-founder of ZenCard, acquired by the largest bank in Central Eastern Europe.\nCurrently co-founder of Authologic responsible for client relations, design, and UX.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/sygitowicz/",
        "x_url": "https://twitter.com/jareksyg",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3b7f3ef586c121faa7d05975c566929c919e9df8.jpg"
      },
      {
        "user_id": 547892,
        "full_name": "Krzysztof Klimczak",
        "title": "Founder",
        "founder_bio": "2020-now - Co-founder and CEO of Authologic - the stripe for online identity verification.\n2013-2020 - Co-founder and CEO of ZenCard - Polish deep fin-tech startup that was sold in 2017 to the biggest Polish bank.\n2006-2013 - COO, Board Member, of the Toyota Financial Services in Poland. Responsible for IT & Operation including AML.\n1995-2006 - IT Specialist, Head of IT Exploitation, Deputy CIO at Societe Generale in Poland. Member of the world wide skill team of Societe Generale.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/krzysztofklimczak/",
        "x_url": "https://twitter.com/krzysztklimczak",
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      {
        "user_id": 547928,
        "full_name": "Marek Rogoziński",
        "title": "Founder",
        "founder_bio": "Co-founder and CTO of Authologic - Stripe for online identity verification.\nPreviously co-founder of ZenCard, whitch lets you use your regular payment card as  loyalty program identifier.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/marek-rogozinski/",
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    "jobs": [
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        "id": 114854,
        "title": "Campaign Manager (GTM, ABM & Events)",
        "url": "https://www.ycombinator.com/companies/authologic/jobs/K6TgbdT-campaign-manager-gtm-abm-events",
        "location": "Warsaw, Masovian Voivodeship, PL / London, England, GB / Remote (Warsaw, Masovian Voivodeship, PL; London, England, GB)",
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        "role": "Marketing",
        "role_type": null,
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    "news": [
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        "title": "Authologic raises $8.2M for unified e-ID verification platform - Tech.eu",
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    "id": 23539,
    "name": "Triomics",
    "slug": "triomics",
    "former_names": [
      "Triomics Healthcare Private Limited"
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    "website": "https://triomics.com/",
    "all_locations": "New York City, NY, USA",
    "long_description": "Triomics is building the AI infrastructure for modern oncology. Across the U.S., cancer care providers rely on highly trained staff to manually review unstructured patient records such as pathology reports, clinical notes, genomic panels, and scanned faxes to support workflows like clinical trial matching, visit preparation, and quality reporting. We replace that manual work with task-driven AI agents embedded directly into clinical workflows, automatically processing medical records at scale and in real time.\r\n\r\nOur platform is trusted by 4 of the top 10 Best Hospitals for Cancer ranked by U.S. News, as well as several of the largest community oncology practices.",
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    "team_size": 50,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Healthcare Services",
    "launched_at": 1614650207,
    "tags": [
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      "Healthcare IT"
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    "isHiring": true,
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    "url": "https://www.ycombinator.com/companies/triomics",
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    "year_founded": 2021,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/triomics/",
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    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
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      {
        "user_id": 570939,
        "full_name": "Sarim Khan",
        "title": "Founder",
        "founder_bio": "I am a chemical engineer with previous research experience in tissue engineering and neuroscience. The lack of vertical integration in the clinical trial space inspired me to work on Triomics.  ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/sarim-khan-b54485137/",
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      {
        "user_id": 678966,
        "full_name": "Hrituraj Singh",
        "title": "Founder",
        "founder_bio": "Before starting Triomics, I was a Researcher at Adobe Research, where I worked on language models and reinforcement learning problems. I now use the same technologies to interpret oncology patient charts.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/hrituraj1997",
        "x_url": "https://twitter.com/hrituraj1997",
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    ],
    "jobs": [
      {
        "id": 92810,
        "title": "Senior Talent Recruiter",
        "url": "https://www.ycombinator.com/companies/triomics/jobs/6QE0TYt-senior-talent-recruiter",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Recruiting & HR",
        "role_type": "Recruiting lead",
        "salary_range": "$110K - $140K",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 92980,
        "title": "Site Reliability Engineer",
        "url": "https://www.ycombinator.com/companies/triomics/jobs/Zy1Ydsu-site-reliability-engineer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$150K - $200K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
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          "Microsoft Azure",
          "Hibernate",
          "Java",
          "Kubernetes",
          "Docker"
        ]
      },
      {
        "id": 92981,
        "title": "Forward Deployed ML Engineer",
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        "title": "Tyran: AI Health Agents for your app",
        "tagline": "Create health agents with any data source, and connect to your app",
        "body": "Hey 👋 We are building [Tyran](https://tyran.ai), the AI Health Agents.\n\n**tl;dr:** Build **AI health agents** on top of any data — wearables, labs, sleep, HRV. Detect jet lag, catch illness before symptoms, spot sleep apnea, flag overtraining — and plug it all into your app in minutes, without a line of code.\n\nhttps://www.youtube.com/watch?v=VXDRR_qU250\n\n## **What you can use Tyran AI for**\n\nSome early examples\n\n* Detect jet lag\n* Detect signs of potential asthma (NOT medical diagnosis, obviously!)\n* Detect the upcoming menstrual cycle\n* Understand recovery\n* Run multiple experiments: test different workout timings or rest protocols per user segment.\n\n## **How it works**\n\n1. Sign up, connect health data sources via plug-and-play auth widget.\n2. Pick an agent template (or prompt the agent).\n3. Define schedule + outcomes (alerts, notifications, adjusted plans).\n4. Get validated outputs (typed JSON), export via webhooks, or integrate directly into your product.\n\n## **What’s new**\n\n* 🚀 **Fast feature build** - From idea to working health insights in **minutes**\n* 🔗 **Connect any health source** - 500+ metrics from wearables, labs, nutrition, sleep, HRV, etc.\n* 📚 **Templates & agent types** - Prebuilt agents for recovery optimization, risk detection, women’s health, root-cause analysis, experimental health logic.\n* ⚙️ **Custom logic + actions** - Go beyond dashboards: trigger alerts, notifications, update workout plans, or send recommendations programmatically.\n* 🛠 **Full agent lifecycle tools** - scheduling, versioning, monitoring; typed output (JSON) so downstream systems / UIs stay reliable.\n* **📝 Memory -** Agents remembering information and improving over time\n\n![uploaded image](/media/?type=post&id=94347&key=user_uploads/356569/43654838-a834-42b0-b3f1-d13639d6f526)\n\n",
        "url": "https://www.ycombinator.com/launches/OXj-tyran-ai-health-agents-for-your-app",
        "votes": 26,
        "created_at": "2025-10-03T15:44:22.728Z"
      },
      {
        "id": 81615,
        "title": "Health Scores for developers",
        "tagline": "The easiest way to add Sleep, Stress, Heart and health scores for developers",
        "body": "[Health Scores](https://www.youtube.com/watch?v=frTfSO39e10)\n\nWe are launching today Health Scores: The easiest way for developers to integrate and display scores such as Sleep, Stress, Heart Health, Training Load and many more.\n\nThis provides a seamless way to show critical data points such as Sleep, Stress, Heart Health, Training Load, and much more to end users. \n\n**Launching Today: The Sleep Score**\n\nThe first available feature, the Sleep Score, is now live. \n\nThis score analyzes various aspects of a user’s sleep, including REM, Deep, Light, and Awake stages, along with HRV, RHR, respiration, and body temperature, to provide a comprehensive sleep quality assessment.\n\n**Customizable Scoring Model**\n\nAs a Developer, you can easily customise this and create proprietary models using a simple drag-and-drop interface, assigning different weights to various metrics to tailor the scores according to specific needs.\n\n[Click to get started](https://dashboard.tryterra.co)\n\n![uploaded image](/media/?type=post&id=81615&key=user_uploads/356569/fe0ade75-50c9-4bd5-808a-1ea55604a35d)\n\n",
        "url": "https://www.ycombinator.com/launches/LEN-health-scores-for-developers",
        "votes": 12,
        "created_at": "2024-06-19T16:48:14.926Z"
      },
      {
        "id": 80833,
        "title": "Terra API: Easily create AI health agents with wearable data",
        "tagline": "The easiest way for developers to create health agents with health data",
        "body": "**tl;dr:** Terra API allows you to connect health data with AI, such as GPT-4o and Claude 3, and develop health AI agents.\n\n**The story**\n\nOver the last year, hundreds of developers have used [Terra](https://tryterra.co) to create AI solutions. We’ve seen solutions for fitness, sleep, nutrition, telemedicine, longevity, and more.\n\nWe decided to reduce the complexity fully and embed all the AI experience within the dashboard so you can easily develop such solutions.\n\n![uploaded image](/media/?type=post&id=80833&key=user_uploads/356569/dac1c7ed-4d5d-4b2b-a337-d4e46ee93b8d)\n\n**How it works:**\n\n* Choose the wearables and health apps you want connected\n* Choose the AI you want, from GPT-4o to Claude 3.\n* Prompt the model\n* Choose your destination to receive the data\n\n**What’s coming next:**\n\n* More integrations with Perplexity, Llama and others\n* More destinations to store data\n* Improvement in prompting\n* Availability of voice, camera and more\n\n**Getting Started**\n\nCreate an account [here](https://dashboard.tryterra.co/) and choose your AI of choices from the processes.\n\n[ ](https://www.youtube.com/watch?v=PA2FR_A1pc0)",
        "url": "https://www.ycombinator.com/launches/L1l-terra-api-easily-create-ai-health-agents-with-wearable-data",
        "votes": 20,
        "created_at": "2024-05-14T16:46:02.256Z"
      },
      {
        "id": 71969,
        "title": "OdinAI by Terra",
        "tagline": "Generate health recommendations for any app",
        "body": "### **TLDR**:\n\nTo date, it has been super difficult to generate health insights and recommendations for your application.\n\nWith [OdinAI](https://tryterra.co/products/odinai), we make it super easy for you to add health recommendations to your app! We built all the necessary software tools and help you deliver these recommendations through ChatGPT!\n\n* Get started [here](https://tryterra.co/products/odinai?ref=producthunt)\n\n![uploaded image](/media/?type=post&id=71969&key=user_uploads/356569/bfda54d3-5766-4a7f-bf4f-c68ce32581d8)\n\n### What is [Terra](https://tryterra.co)\n\nAn API that makes it super easy for apps to connect to wearables and sensors.\n\nMany of our customers have been asking for an easy way to generate recommendations, so we connected with ChatGPT and made it possible.\n\n### The way it works:\n\n1\\. You upload your recommendations\n\n2\\. We prompt ML models and optimize them for your app\n\n3\\. You receive the recommendations through our API\n\nThis can be for your sleep, mental health, nutrition, training, and overall health app!\n\n[OdinGPT Private Alpha Release - Watch Video](https://www.loom.com/share/247f12f4519340278426b86cfc5ca148)\n\n![](https://cdn.loom.com/sessions/thumbnails/247f12f4519340278426b86cfc5ca148-with-play.gif)\n\n\n### What's coming in the upcoming updates:\n\n\\- Granular level responses\n\n\\- Chatbot to install for your app\n\n\\- Optimised recommendations for specific categories,\n\n\\- and many more!\n\nWould love to hear your thoughts, and feel free to ask for features you'd like to see!",
        "url": "https://www.ycombinator.com/launches/Iin-odinai-by-terra",
        "votes": 12,
        "created_at": "2023-06-01T13:45:02.528Z"
      },
      {
        "id": 64219,
        "title": "Terra: API to connect your app to wearables",
        "tagline": "New product: Connect your app to real-time wearable data.  Garmin, Fitbit, Oura, Peloton and others, through a single source",
        "body": "![uploaded image](/media/?type=post&id=64219&key=user_uploads/356569/73457b9e-0593-4ecd-b5e1-f6d5fc70f490)\n\n### The problem:\n\nConnecting to wearables such as Garmin, Fitbit, Oura, Wahoo, etc is a very long process. You need to deal with partnerships and poorly written docs and create an internal DevOps team.\n\n### What we do\n\n[Terra](https://tryterra.co/) is an **API** that makes it easy for apps to connect to all wearables.\n\nWe already have all the [integrations](https://tryterra.co/integrations) you need, such as Apple, Garmin, Peloton, Zwift, Freestyle Libre, Samsung, and the list goes on.\n\nOne integration is all that matters 😀\n\n### The new product\n\nWe just released our **new** beta product: **Real-time streaming** of wearable data, through our Websocket API! You can now connect any app, through your heart rate belt, be it from Polar, Suunto, Garmin or anything that supports BLE 🎉🎉\n\n* More about Terra [here](https://tryterra.co)\n* More about the real-time streaming [here](https://blog.tryterra.co/realtime-data-streaming-3db7a5a207ae)\n* More about the docs [here](https://docs.tryterra.co)\n* and some [stories](https://blog.tryterra.co/startup-spotlight/home) from our customers\n\n![uploaded image](/media/?type=post&id=64219&key=user_uploads/356569/226e3640-0d81-4cc3-a05a-26c352b56fe1)\n\n",
        "url": "https://www.ycombinator.com/launches/Ghn-terra-api-to-connect-your-app-to-wearables",
        "votes": 51,
        "created_at": "2022-06-30T09:24:13.771Z"
      }
    ]
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    "id": 23780,
    "name": "PaletteHQ",
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    "website": "https://palettehq.com/en",
    "all_locations": "Paris, Île-de-France, France; Remote",
    "long_description": "PaletteHQ makes it easy for B2B companies to calculate sales commissions and boost sales performance.\r\n\r\nWe built a SaaS platform that non tech people can implement in a day, connect to their CRM, accounting software or ERPs, and calculate commissions automatically instead of using excel spreadsheets or BI tools.",
    "one_liner": "Manage sales commissions and sales performance",
    "team_size": 14,
    "industry": "B2B",
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    "nonprofit": false,
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    "regions": [
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      "Europe",
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      "Fully Remote"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/palettehq",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2021/palettehq.json",
    "year_founded": 2020,
    "city": "Paris",
    "country": "FR",
    "linkedin_url": "https://www.linkedin.com/company/69507540",
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    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/palette-a00d",
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    "founders": [
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        "full_name": "Jean-Edern Lorillon",
        "title": "Founder",
        "founder_bio": "I've been working in the SaaS industry for the past 6 years. Before founding PaletteHQ, I participated in the growth of Algolia from 200 to 8,500 customers. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jeanedernlorillon/",
        "x_url": "https://twitter.com/jeanedern_",
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        "title": "Open position - wildcard",
        "url": "https://www.ycombinator.com/companies/palettehq/jobs/qCyvrN9-open-position-wildcard",
        "location": "Paris, IDF, FR",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "€40K - €90K EUR",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
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      },
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        "id": 61073,
        "title": "Software Engineer",
        "url": "https://www.ycombinator.com/companies/palettehq/jobs/xLrlp89-software-engineer",
        "location": "Paris, IDF, FR",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "€45K - €100K EUR",
        "equity_range": "0.10% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": [
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          "TypeScript"
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        "title": "Palette sells a sales commission tool for modern sales teams – TechCrunch",
        "url": "https://techcrunch.com/2022/05/18/palette-sells-a-sales-commission-tool-for-modern-sales-teams/",
        "date": "May 18, 2022"
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    ],
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    "id": 23796,
    "name": "Slope",
    "slug": "slope",
    "former_names": [
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/bb362ee6e3bfce450e6a8196b555db1534feef1b.png",
    "website": "http://www.slopepay.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Accept and reconcile B2B payments seamlessly.",
    "one_liner": "The B2B Payments Platform ",
    "team_size": 16,
    "industry": "Fintech",
    "subindustry": "Fintech -> Payments",
    "launched_at": 1625009192,
    "tags": [
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      "Fraud Detection",
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
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    "status": "Active",
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    "regions": [
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      "America / Canada"
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    "stage": "Growth",
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    "url": "https://www.ycombinator.com/companies/slope",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2021/slope.json",
    "year_founded": 2021,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/slope-tech/",
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      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
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    "founders": [
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        "user_id": 135035,
        "full_name": "Lawrence Lin Murata",
        "title": "Founder",
        "founder_bio": "Lawrence Lin Murata, co-founder and CEO. Lawrence's family spent 3 decades in wholesale, which inspired us to build Slope. Previously, Lawrence founded Newton Technologies (acq by Nauto), which used AI to analyze smartphone data and help people drive better. Later, he led AI Platforms & Data Science at Nauto, a 200-people autonomous driving company. Lawrence is a Stanford grad, where he led and co-founded CS+Social Good, a tech for impact organization.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/lawrencelm",
        "x_url": "https://twitter.com/LawLM",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4781d65c774c5fe5630c27ecead08f8215673dfb.jpg"
      },
      {
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        "full_name": "Alice Deng",
        "title": "Founder",
        "founder_bio": "Co-founder & CPO of Slope. Previously, Alice co-founded Glisten AI (YC W20), providing e-commerce product categorization using CV and NLP. Prior to Glisten, she was a product manager at Dropbox. Alice is a UC Berkeley grad, where she led Blueprint, a tech for impact organization and was named under the Forbes 30 Under 30 list in 2023.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/alicedeng/",
        "x_url": "https://twitter.com/alicevdeng",
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        "id": 111261,
        "title": "Senior Backend Engineer",
        "url": "https://www.ycombinator.com/companies/slope/jobs/O4fxXXJ-senior-backend-engineer",
        "location": "San Francisco / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$200K - $250K",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115247,
        "title": "Senior Accountant / Accounting Manager",
        "url": "https://www.ycombinator.com/companies/slope/jobs/K4yJj4A-senior-accountant-accounting-manager",
        "location": "San Francisco / Remote (US)",
        "type": "Full-time",
        "role": "Finance",
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    "news": [
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        "title": "Slope Announces New Round of Funding from J.P. Morgan | by Lawrence Lin Murata | Slope Stories | Jul, 2024 | Medium",
        "url": "https://medium.com/slope-stories/slope-announces-new-round-of-funding-from-j-p-morgan-070b204f2ac3",
        "date": "Jul 17, 2024"
      },
      {
        "title": "Payments Startup Slope Raises $30 Million From Sam Altman And Others To Ramp Up AI Tools",
        "url": "https://www.forbes.com/sites/alexyork/2023/09/27/payments-startup-slope-raises-30-million-from-sam-altman-and-others-to-ramp-up-ai-tools/",
        "date": "Sep 27, 2023"
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      {
        "title": "Inside Silicon Valley Bank's bet on buy now/pay later for businesses | PaymentsSource | American Banker",
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        "date": "Sep 30, 2022"
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        "title": "Slope takes in first capital with visions of being ‘Stripe for global B2B payments’ – TechCrunch",
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    "team_size": 12,
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    "subindustry": "B2B -> Operations",
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      "B2B",
      "Enterprise Software"
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    "url": "https://www.ycombinator.com/companies/epsilon3-inc",
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    "year_founded": 2021,
    "city": "Los Angeles",
    "country": "US",
    "linkedin_url": "http://linkedin.com/company/epsilon3inc",
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      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
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      {
        "user_id": 696513,
        "full_name": "Laura Crabtree",
        "title": "Founder",
        "founder_bio": "15+ years satellite and spacecraft operations, lead trainer + CORE operator for SpaceX Demo-2 Astronauts. Leader, innovator & deeply passionate about space, exploration and the future of mankind.",
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        "url": "https://www.ycombinator.com/companies/legion-health/jobs/GKL2Lyn-medical-director-psychiatry-backed-by-y-combinator-5m-arr-23m-raised",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$180K - $375K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 97167,
        "title": "Consumer AI Lifecycle Product and Marketing Leader (backed by Y Combinator, $5M+ ARR, $23M+ raised)",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/TYDqQPO-consumer-ai-lifecycle-product-and-marketing-leader-backed-by-y-combinator-5m-arr-23m-raised",
        "location": "San Francisco / Remote (US)",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$140K - $260K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 97168,
        "title": "Virtual Executive Assistant — Patient Success Operations [Remote]",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/JpTi1mH-virtual-executive-assistant-patient-success-operations-remote",
        "location": "US / Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$5 - $15 / hourly",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 97173,
        "title": "Technical Product Manager, Consumer + AI (backed by Y Combinator, $5M+ ARR, $23M+ raised)",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/6CmcOn0-technical-product-manager-consumer-ai-backed-by-y-combinator-5m-arr-23m-raised",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Product",
        "role_type": null,
        "salary_range": "$150K - $240K",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 97174,
        "title": "Office of the Founders (backed by Y Combinator, $5M+ ARR, $23M+ raised)",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/C7K2l9b-office-of-the-founders-backed-by-y-combinator-5m-arr-23m-raised",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$120K - $210K",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 100202,
        "title": "Provider Data and Payer Directory Operations Lead (backed by Y Combinator, $5M+ ARR, $23M+ raised)",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/gl0yBd0-provider-data-and-payer-directory-operations-lead-backed-by-y-combinator-5m-arr-23m-raised",
        "location": "US / Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$30K - $100K",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 100204,
        "title": "Founding People and Talent Leader (backed by Y Combinator, $5M+ ARR, $23M+ raised)",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/BzIIJNH-founding-people-and-talent-leader-backed-by-y-combinator-5m-arr-23m-raised",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Recruiting & HR",
        "role_type": "Recruiter",
        "salary_range": "$170K - $260K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 101885,
        "title": "Go-to-Market (GTM) Engineer (backed by Y Combinator, $5M+ ARR, $23M+ raised)",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/KPlIlQz-go-to-market-gtm-engineer-backed-by-y-combinator-5m-arr-23m-raised",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$140K - $260K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 104261,
        "title": "Software Engineer — Patient Products (backed by Y Combinator, $5M+ ARR, $23M+ raised)",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/1PA2w4w-software-engineer-patient-products-backed-by-y-combinator-5m-arr-23m-raised",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$160K - $325K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 104262,
        "title": "Insurance Billing Lead (backed by Y Combinator, $5M+ ARR, $23M+ raised)",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/CYxIHoE-insurance-billing-lead-backed-by-y-combinator-5m-arr-23m-raised",
        "location": "Remote",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$5 - $15 / hourly",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 104263,
        "title": "Credentialing and Payer Contracting Lead (backed by Y Combinator, $5M+ ARR, $23M+ raised)",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/Hl0pmH0-credentialing-and-payer-contracting-lead-backed-by-y-combinator-5m-arr-23m-raised",
        "location": "Remote",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$5 - $15 / hourly",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 104266,
        "title": "Provider Partnership Manager (backed by Y Combinator, $5M+ ARR, $23M+ raised)",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/znM834O-provider-partnership-manager-backed-by-y-combinator-5m-arr-23m-raised",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$120K - $180K",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104938,
        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | Virginia",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/jjCioy0-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-virginia",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$150K - $300K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104939,
        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | Wyoming",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/w5CN0xl-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-wyoming",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$150K - $300K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104940,
        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | District of Columbia",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/y444GLu-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-district-of-columbia",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$150K - $300K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104941,
        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | American Samoa",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/LP9w1nX-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-american-samoa",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$150K - $300K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104942,
        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | Guam",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/imkUmk7-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-guam",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$150K - $300K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104943,
        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | Commonwealth of the Northern Mariana Islands",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/y5dpLpE-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-commonwealth-of-the-northern-mariana-islands",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$150K - $300K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104944,
        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | Puerto Rico",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/gEAY0tI-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-puerto-rico",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$150K - $300K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104945,
        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | U.S. Virgin Islands",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/RzUKXlJ-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-u-s-virgin-islands",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$150K - $300K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104946,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | Alaska",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/wvL0UOJ-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-alaska",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$300K - $500K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104947,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | Arizona",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/9vq3Zfq-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-arizona",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$300K - $500K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104948,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | Arkansas",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/7DLSbTk-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-arkansas",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$300K - $500K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104949,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | California",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/Aw7HwEH-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-california",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$300K - $500K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104950,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | Colorado",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/soAc8OX-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-colorado",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$300K - $500K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104951,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | Connecticut",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/2KhGe8V-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-connecticut",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$300K - $500K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104952,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | Delaware",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/12Crs0z-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-delaware",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$300K - $500K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104953,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | Florida",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/0OtPmXi-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-florida",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$300K - $500K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104954,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | Georgia",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/jzBtwKd-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-georgia",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$300K - $500K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104955,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | Hawaii",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/tFyPzIV-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-hawaii",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$300K - $500K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104956,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | Idaho",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/B7EG8s7-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-idaho",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$300K - $500K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104957,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | Illinois",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/muC46wQ-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-illinois",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$300K - $500K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104958,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | Indiana",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/e5tbk0R-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-indiana",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$300K - $500K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104959,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | Iowa",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/aqqmupj-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-iowa",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$300K - $500K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104960,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | Kansas",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/j65oO4J-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-kansas",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$300K - $500K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104961,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | Kentucky",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/rdiFS63-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-kentucky",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$300K - $500K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104962,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | Louisiana",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/LsnHhBU-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-louisiana",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$300K - $500K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104963,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | Maine",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/BM4wS9N-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-maine",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
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        "salary_range": "$300K - $500K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104964,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | Maryland",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/jBohWDy-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-maryland",
        "location": "Remote (US)",
        "type": "Full-time",
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        "salary_range": "$300K - $500K",
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        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104965,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | Massachusetts",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/lQoCOuh-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-massachusetts",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
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        "salary_range": "$300K - $500K",
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        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104966,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | Michigan",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/mHGnfUV-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-michigan",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
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        "salary_range": "$300K - $500K",
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        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104967,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | Minnesota",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/UOr27Bd-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-minnesota",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$300K - $500K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104968,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | Mississippi",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/OVdTTex-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-mississippi",
        "location": "Remote (US)",
        "type": "Full-time",
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        "salary_range": "$300K - $500K",
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        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104969,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | Missouri",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/fvDrvoM-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-missouri",
        "location": "Remote (US)",
        "type": "Full-time",
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        "salary_range": "$300K - $500K",
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        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104970,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | Montana",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/6LisWNK-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-montana",
        "location": "Remote (US)",
        "type": "Full-time",
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        "salary_range": "$300K - $500K",
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        "visa": "US citizen/visa only",
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      },
      {
        "id": 104971,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | Nebraska",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/JyjOUT1-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-nebraska",
        "location": "Remote (US)",
        "type": "Full-time",
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        "salary_range": "$300K - $500K",
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        "visa": "US citizen/visa only",
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      },
      {
        "id": 104972,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | Nevada",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/hE4eyHL-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-nevada",
        "location": "Remote (US)",
        "type": "Full-time",
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        "visa": "US citizen/visa only",
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      },
      {
        "id": 104973,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | New Hampshire",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/ys9JEgC-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-new-hampshire",
        "location": "Remote (US)",
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        "salary_range": "$300K - $500K",
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        "visa": "US citizen/visa only",
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      },
      {
        "id": 104974,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | New Jersey",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/WDKwrVf-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-new-jersey",
        "location": "Remote (US)",
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        "salary_range": "$300K - $500K",
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        "visa": "US citizen/visa only",
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      },
      {
        "id": 104975,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | New Mexico",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/9hbRdZ3-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-new-mexico",
        "location": "Remote (US)",
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        "salary_range": "$300K - $500K",
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        "visa": "US citizen/visa only",
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      },
      {
        "id": 104976,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | New York",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/RqYKrEp-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-new-york",
        "location": "Remote (US)",
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        "role": "Operations",
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        "salary_range": "$300K - $500K",
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        "visa": "US citizen/visa only",
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      },
      {
        "id": 104977,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | North Carolina",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/LmBlYRh-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-north-carolina",
        "location": "Remote (US)",
        "type": "Full-time",
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        "salary_range": "$300K - $500K",
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        "visa": "US citizen/visa only",
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      },
      {
        "id": 104978,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | North Dakota",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/Dm3ReM0-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-north-dakota",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$300K - $500K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104979,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | Ohio",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/LRU1M7N-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-ohio",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
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        "salary_range": "$300K - $500K",
        "equity_range": "",
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        "visa": "US citizen/visa only",
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      },
      {
        "id": 104980,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | Oklahoma",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/Tu7I8Br-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-oklahoma",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
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        "salary_range": "$300K - $500K",
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        "visa": "US citizen/visa only",
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      },
      {
        "id": 104981,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | Oregon",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/JXUOpVP-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-oregon",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
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        "salary_range": "$300K - $500K",
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        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104982,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | Pennsylvania",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/Xw5REwO-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-pennsylvania",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
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        "salary_range": "$300K - $500K",
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        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104983,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | Rhode Island",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/Tvu6kEu-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-rhode-island",
        "location": "Remote (US)",
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        "role": "Operations",
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        "salary_range": "$300K - $500K",
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        "visa": "US citizen/visa only",
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      },
      {
        "id": 104984,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | South Carolina",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/rFxJLfL-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-south-carolina",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
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        "salary_range": "$300K - $500K",
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      },
      {
        "id": 104985,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | South Dakota",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/ZuI4yvH-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-south-dakota",
        "location": "Remote (US)",
        "type": "Full-time",
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        "salary_range": "$300K - $500K",
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      },
      {
        "id": 104986,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | Tennessee",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/MlE4aLr-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-tennessee",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
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        "salary_range": "$300K - $500K",
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        "skills": []
      },
      {
        "id": 104987,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | Texas",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/Jdu5zcJ-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-texas",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
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        "salary_range": "$300K - $500K",
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        "skills": []
      },
      {
        "id": 104988,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | Utah",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/8cSGPkQ-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-utah",
        "location": "Remote (US)",
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        "role": "Operations",
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        "salary_range": "$300K - $500K",
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        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104989,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | Vermont",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/68iWOAq-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-vermont",
        "location": "Remote (US)",
        "type": "Full-time",
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        "salary_range": "$300K - $500K",
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        "skills": []
      },
      {
        "id": 104990,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | Virginia",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/rwhvRcq-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-virginia",
        "location": "Remote (US)",
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        "role": "Operations",
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        "salary_range": "$300K - $500K",
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      },
      {
        "id": 104991,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | Washington",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/JuZvkW8-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-washington",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$300K - $500K",
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        "skills": []
      },
      {
        "id": 104992,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | West Virginia",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/0zaXYge-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-west-virginia",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$300K - $500K",
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        "skills": []
      },
      {
        "id": 104993,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | Wisconsin",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/iLLKzq7-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-wisconsin",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$300K - $500K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104994,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | Wyoming",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/dp7L14W-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-wyoming",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$300K - $500K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104995,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | District of Columbia",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/656tpMx-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-district-of-columbia",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$300K - $500K",
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        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104996,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | American Samoa",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/z5tEg1j-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-american-samoa",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$300K - $500K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104997,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | Guam",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/ApYAPDf-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-guam",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$300K - $500K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104998,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | Commonwealth of the Northern Mariana Islands",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/eDxJvs7-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-commonwealth-of-the-northern-mariana-islands",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$300K - $500K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104999,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | Puerto Rico",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/rCy9VcY-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-puerto-rico",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
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        "salary_range": "$300K - $500K",
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        "visa": "US citizen/visa only",
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      },
      {
        "id": 105000,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | U.S. Virgin Islands",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/8kHCuQQ-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-u-s-virgin-islands",
        "location": "Remote (US)",
        "type": "Full-time",
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      },
      {
        "id": 105001,
        "title": "Collaborating Psychiatrist / Supervising Physician (MD or DO) — Remote | Telehealth | Part-Time | Alabama",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/4EsyZQV-collaborating-psychiatrist-supervising-physician-md-or-do-remote-telehealth-part-time-alabama",
        "location": "Remote (US)",
        "type": "Contract",
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        "salary_range": "$50K - $150K",
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        "visa": "US citizen/visa only",
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      },
      {
        "id": 105002,
        "title": "Collaborating Psychiatrist / Supervising Physician (MD or DO) — Remote | Telehealth | Part-Time | Florida",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/v8nnp4A-collaborating-psychiatrist-supervising-physician-md-or-do-remote-telehealth-part-time-florida",
        "location": "Remote (US)",
        "type": "Contract",
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        "salary_range": "$50K - $150K",
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        "visa": "US citizen/visa only",
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      },
      {
        "id": 105003,
        "title": "Collaborating Psychiatrist / Supervising Physician (MD or DO) — Remote | Telehealth | Part-Time | Georgia",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/srfOk3D-collaborating-psychiatrist-supervising-physician-md-or-do-remote-telehealth-part-time-georgia",
        "location": "Remote (US)",
        "type": "Contract",
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        "salary_range": "$50K - $150K",
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        "visa": "US citizen/visa only",
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      },
      {
        "id": 105004,
        "title": "Collaborating Psychiatrist / Supervising Physician (MD or DO) — Remote | Telehealth | Part-Time | Louisiana",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/hVRk4Dx-collaborating-psychiatrist-supervising-physician-md-or-do-remote-telehealth-part-time-louisiana",
        "location": "Remote (US)",
        "type": "Contract",
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        "salary_range": "$50K - $150K",
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        "visa": "US citizen/visa only",
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      },
      {
        "id": 105005,
        "title": "Collaborating Psychiatrist / Supervising Physician (MD or DO) — Remote | Telehealth | Part-Time | Mississippi",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/6lnOWuU-collaborating-psychiatrist-supervising-physician-md-or-do-remote-telehealth-part-time-mississippi",
        "location": "Remote (US)",
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        "salary_range": "$50K - $150K",
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      },
      {
        "id": 105006,
        "title": "Collaborating Psychiatrist / Supervising Physician (MD or DO) — Remote | Telehealth | Part-Time | Missouri",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/VjCRZUK-collaborating-psychiatrist-supervising-physician-md-or-do-remote-telehealth-part-time-missouri",
        "location": "Remote (US)",
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        "salary_range": "$50K - $150K",
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      },
      {
        "id": 105007,
        "title": "Collaborating Psychiatrist / Supervising Physician (MD or DO) — Remote | Telehealth | Part-Time | North Carolina",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/afJ3KfX-collaborating-psychiatrist-supervising-physician-md-or-do-remote-telehealth-part-time-north-carolina",
        "location": "Remote (US)",
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        "salary_range": "$50K - $150K",
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      },
      {
        "id": 105008,
        "title": "Collaborating Psychiatrist / Supervising Physician (MD or DO) — Remote | Telehealth | Part-Time | Ohio",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/ssoS0TR-collaborating-psychiatrist-supervising-physician-md-or-do-remote-telehealth-part-time-ohio",
        "location": "Remote (US)",
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        "salary_range": "$50K - $150K",
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      },
      {
        "id": 105009,
        "title": "Collaborating Psychiatrist / Supervising Physician (MD or DO) — Remote | Telehealth | Part-Time | Pennsylvania",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/uSpfR7h-collaborating-psychiatrist-supervising-physician-md-or-do-remote-telehealth-part-time-pennsylvania",
        "location": "Remote (US)",
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        "salary_range": "$50K - $150K",
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      },
      {
        "id": 105010,
        "title": "Collaborating Psychiatrist / Supervising Physician (MD or DO) — Remote | Telehealth | Part-Time | South Carolina",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/1kMVtWm-collaborating-psychiatrist-supervising-physician-md-or-do-remote-telehealth-part-time-south-carolina",
        "location": "Remote (US)",
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        "salary_range": "$50K - $150K",
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        "visa": "US citizen/visa only",
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      },
      {
        "id": 105011,
        "title": "Collaborating Psychiatrist / Supervising Physician (MD or DO) — Remote | Telehealth | Part-Time | Texas",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/MnbS9ru-collaborating-psychiatrist-supervising-physician-md-or-do-remote-telehealth-part-time-texas",
        "location": "Remote (US)",
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        "salary_range": "$50K - $150K",
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      },
      {
        "id": 105012,
        "title": "Collaborating Psychiatrist / Supervising Physician (MD or DO) — Remote | Telehealth | Part-Time | Wisconsin",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/1sJmbyW-collaborating-psychiatrist-supervising-physician-md-or-do-remote-telehealth-part-time-wisconsin",
        "location": "Remote (US)",
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        "salary_range": "$50K - $150K",
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      },
      {
        "id": 105013,
        "title": "Collaborating Psychiatrist / Supervising Physician (MD or DO) — Remote | Telehealth | Part-Time | Connecticut",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/4qKELwk-collaborating-psychiatrist-supervising-physician-md-or-do-remote-telehealth-part-time-connecticut",
        "location": "Remote (US)",
        "type": "Contract",
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        "salary_range": "$50K - $150K",
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        "visa": "US citizen/visa only",
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      },
      {
        "id": 105014,
        "title": "Collaborating Psychiatrist / Supervising Physician (MD or DO) — Remote | Telehealth | Part-Time | Kentucky",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/CU2oOo3-collaborating-psychiatrist-supervising-physician-md-or-do-remote-telehealth-part-time-kentucky",
        "location": "Remote (US)",
        "type": "Contract",
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        "role_type": null,
        "salary_range": "$50K - $150K",
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        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 105015,
        "title": "Collaborating Psychiatrist / Supervising Physician (MD or DO) — Remote | Telehealth | Part-Time | New Jersey",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/ROsOt14-collaborating-psychiatrist-supervising-physician-md-or-do-remote-telehealth-part-time-new-jersey",
        "location": "Remote (US)",
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        "salary_range": "$50K - $150K",
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      },
      {
        "id": 105016,
        "title": "Collaborating Psychiatrist / Supervising Physician (MD or DO) — Remote | Telehealth | Part-Time | New York",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/65jaAuq-collaborating-psychiatrist-supervising-physician-md-or-do-remote-telehealth-part-time-new-york",
        "location": "Remote (US)",
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        "salary_range": "$50K - $150K",
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      },
      {
        "id": 105017,
        "title": "Collaborating Psychiatrist / Supervising Physician (MD or DO) — Remote | Telehealth | Part-Time | Oklahoma",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/w1bJzmc-collaborating-psychiatrist-supervising-physician-md-or-do-remote-telehealth-part-time-oklahoma",
        "location": "Remote (US)",
        "type": "Contract",
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        "role_type": null,
        "salary_range": "$50K - $150K",
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      },
      {
        "id": 105018,
        "title": "Collaborating Psychiatrist / Supervising Physician (MD or DO) — Remote | Telehealth | Part-Time | Virginia",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/HyiBQb3-collaborating-psychiatrist-supervising-physician-md-or-do-remote-telehealth-part-time-virginia",
        "location": "Remote (US)",
        "type": "Contract",
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        "salary_range": "$50K - $150K",
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      },
      {
        "id": 105019,
        "title": "Collaborating Psychiatrist / Supervising Physician (MD or DO) — Remote | Telehealth | Part-Time | Arkansas",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/dhOydo0-collaborating-psychiatrist-supervising-physician-md-or-do-remote-telehealth-part-time-arkansas",
        "location": "Remote (US)",
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        "salary_range": "$50K - $150K",
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      },
      {
        "id": 105020,
        "title": "Collaborating Psychiatrist / Supervising Physician (MD or DO) — Remote | Telehealth | Part-Time | Illinois",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/efr6ZP9-collaborating-psychiatrist-supervising-physician-md-or-do-remote-telehealth-part-time-illinois",
        "location": "Remote (US)",
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        "salary_range": "$50K - $150K",
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      },
      {
        "id": 105021,
        "title": "Collaborating Psychiatrist / Supervising Physician (MD or DO) — Remote | Telehealth | Part-Time | Indiana",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/gh3VBxf-collaborating-psychiatrist-supervising-physician-md-or-do-remote-telehealth-part-time-indiana",
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      },
      {
        "id": 105022,
        "title": "Collaborating Psychiatrist / Supervising Physician (MD or DO) — Remote | Telehealth | Part-Time | Michigan",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/wVVmV1Y-collaborating-psychiatrist-supervising-physician-md-or-do-remote-telehealth-part-time-michigan",
        "location": "Remote (US)",
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      },
      {
        "id": 105023,
        "title": "Collaborating Psychiatrist / Supervising Physician (MD or DO) — Remote | Telehealth | Part-Time | Nevada",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/InxU9da-collaborating-psychiatrist-supervising-physician-md-or-do-remote-telehealth-part-time-nevada",
        "location": "Remote (US)",
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      },
      {
        "id": 105024,
        "title": "Collaborating Psychiatrist / Supervising Physician (MD or DO) — Remote | Telehealth | Part-Time | Tennessee",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/qMxqktX-collaborating-psychiatrist-supervising-physician-md-or-do-remote-telehealth-part-time-tennessee",
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      },
      {
        "id": 105025,
        "title": "Collaborating Psychiatrist / Supervising Physician (MD or DO) — Remote | Telehealth | Part-Time | West Virginia",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/SlXgHmb-collaborating-psychiatrist-supervising-physician-md-or-do-remote-telehealth-part-time-west-virginia",
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        "salary_range": "$50K - $150K",
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      },
      {
        "id": 105026,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | Multiple States",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/Z3a9Xdj-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-multiple-states",
        "location": "Remote (US)",
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        "salary_range": "$300K - $500K",
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      },
      {
        "id": 105027,
        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | Arkansas",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/8Yr3i80-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-arkansas",
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        "salary_range": "$150K - $300K",
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      },
      {
        "id": 105028,
        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | Alabama",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/s9Ex925-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-alabama",
        "location": "Remote (US)",
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        "salary_range": "$150K - $300K",
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      },
      {
        "id": 105029,
        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | Alaska",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/q8bO8tH-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-alaska",
        "location": "Remote (US)",
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        "salary_range": "$150K - $300K",
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      },
      {
        "id": 105030,
        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | California",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/C7vKUwN-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-california",
        "location": "Remote (US)",
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        "salary_range": "$150K - $300K",
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      },
      {
        "id": 105031,
        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | Connecticut",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/cZOZB1k-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-connecticut",
        "location": "Remote (US)",
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        "salary_range": "$150K - $300K",
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      },
      {
        "id": 105032,
        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | Colorado",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/20mvLsl-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-colorado",
        "location": "Remote (US)",
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        "salary_range": "$150K - $300K",
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      },
      {
        "id": 105033,
        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | Arizona",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/acfUyZy-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-arizona",
        "location": "Remote (US)",
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        "salary_range": "$150K - $300K",
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      },
      {
        "id": 105034,
        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | Illinois",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/sXyMQMv-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-illinois",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$150K - $300K",
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      },
      {
        "id": 105035,
        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | Georgia",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/6Soy5ir-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-georgia",
        "location": "Remote (US)",
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        "visa": "US citizen/visa only",
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      },
      {
        "id": 105036,
        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | Hawaii",
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      {
        "id": 105037,
        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | Idaho",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/fKBWfaq-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-idaho",
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      {
        "id": 105038,
        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | Florida",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/6znIgZy-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-florida",
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      {
        "id": 105039,
        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | Delaware",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/SECXoHF-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-delaware",
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      {
        "id": 105040,
        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | Indiana",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/nxh4qEu-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-indiana",
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        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | Iowa",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/rDSiCEZ-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-iowa",
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        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | Kansas",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/IB3ZEck-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-kansas",
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        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | Kentucky",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/RgHQBA4-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-kentucky",
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        "id": 105044,
        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | Maryland",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/jYkOIOn-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-maryland",
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      {
        "id": 105045,
        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | Massachusetts",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/rsthatj-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-massachusetts",
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        "id": 105046,
        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | Maine",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/xXHKdls-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-maine",
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        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | Louisiana",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/tm6LwO8-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-louisiana",
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        "id": 105048,
        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | Missouri",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/9DVu80I-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-missouri",
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        "id": 105049,
        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | Nebraska",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/PFtpgtA-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-nebraska",
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      {
        "id": 105050,
        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | Minnesota",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/MZnE5Q9-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-minnesota",
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        "salary_range": "$150K - $300K",
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      },
      {
        "id": 105051,
        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | Michigan",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/6NyfYUj-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-michigan",
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      {
        "id": 105052,
        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | Mississippi",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/4SfiQE3-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-mississippi",
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      {
        "id": 105053,
        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | Nevada",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/60cdIWW-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-nevada",
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      {
        "id": 105054,
        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | New Hampshire",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/lxBHu0J-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-new-hampshire",
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      {
        "id": 105055,
        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | Montana",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/EmuEcYT-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-montana",
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      {
        "id": 105056,
        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | New Mexico",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/2nc6PZU-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-new-mexico",
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      {
        "id": 105057,
        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | New York",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/k7NRPet-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-new-york",
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      {
        "id": 105058,
        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | New Jersey",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/wDwcd7c-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-new-jersey",
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      {
        "id": 105059,
        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | North Carolina",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/65WugQH-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-north-carolina",
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      {
        "id": 105060,
        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | Ohio",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/s5zQfzv-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-ohio",
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      {
        "id": 105061,
        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | Oregon",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/stijs74-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-oregon",
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      {
        "id": 105062,
        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | North Dakota",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/33Xi6vk-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-north-dakota",
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      {
        "id": 105063,
        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | Oklahoma",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/ekZihQZ-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-oklahoma",
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      {
        "id": 105064,
        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | South Carolina",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/eXNiM9I-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-south-carolina",
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      {
        "id": 105065,
        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | South Dakota",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/XKy9YFH-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-south-dakota",
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        "salary_range": "$150K - $300K",
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      {
        "id": 105066,
        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | Pennsylvania",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/nCg63sa-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-pennsylvania",
        "location": "Remote (US)",
        "type": "Full-time",
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        "salary_range": "$150K - $300K",
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      {
        "id": 105067,
        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | Rhode Island",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/ie6zCJY-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-rhode-island",
        "location": "Remote (US)",
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        "salary_range": "$150K - $300K",
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      {
        "id": 105068,
        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | Texas",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/yQ1RxXH-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-texas",
        "location": "Remote (US)",
        "type": "Full-time",
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        "salary_range": "$150K - $300K",
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      {
        "id": 105069,
        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | Tennessee",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/UWm8LWZ-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-tennessee",
        "location": "Remote (US)",
        "type": "Full-time",
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        "salary_range": "$150K - $300K",
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      },
      {
        "id": 105070,
        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | Vermont",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/dKaKRkj-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-vermont",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$150K - $300K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 105071,
        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | Utah",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/FxUlsUI-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-utah",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$150K - $300K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 105072,
        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | Wisconsin",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/TAU1dgw-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-wisconsin",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$150K - $300K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 105073,
        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | Washington",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/2yNonMa-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-washington",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$150K - $300K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 105074,
        "title": "Staff Psychiatric Mental Health Nurse Practitioner (PMHNP) — Remote | Telehealth | Full-Time or Part-Time | West Virginia",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/mDffzRr-staff-psychiatric-mental-health-nurse-practitioner-pmhnp-remote-telehealth-full-time-or-part-time-west-virginia",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$150K - $300K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 105075,
        "title": "Staff Psychiatrist (MD or DO) — Remote | Telehealth | Full-Time or Part-Time | Alabama",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/0I6uvXI-staff-psychiatrist-md-or-do-remote-telehealth-full-time-or-part-time-alabama",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$300K - $500K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 107528,
        "title": "Principal Engineer (backed by Y Combinator, $5M+ ARR, $23M+ raised)",
        "url": "https://www.ycombinator.com/companies/legion-health/jobs/ntRNuwO-principal-engineer-backed-by-y-combinator-5m-arr-23m-raised",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$250K - $400K",
        "equity_range": "",
        "experience": "8+ years",
        "visa": "US citizen/visa only",
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    "news": [],
    "launches": [
      {
        "id": 99205,
        "title": "Legion Health — Autonomous medical care, starting with fully AI-powered psychiatric medication prescriptions",
        "tagline": "Legion is building full-stack, AI-native care delivery system for medicine: from an AI-native clinic, to semi-autonomous care with clinician supervision, to fully autonomous care",
        "body": "Hi Y Combinator Community! We’re Yash, Danny, and Arthur, the founders of Legion Health.\n\nAt Legion, **we’re building autonomous medical care**, starting in psychiatry.\n\n![uploaded image](/media/?type=post&id=99205&key=user_uploads/616238/f421f535-9738-4e44-ab44-05bd70f7c1f1)\n\nWe previously launched Legion as an AI-native psychiatry clinic ([see here](https://www.ycombinator.com/launches/LT4-legion-health-world-class-ai-enabled-psychiatry-covered-by-insurance)). We’re relaunching now because we recently crossed an important threshold: Legion has received regulatory authorization for fully AI-powered renewals of psychiatric maintenance medications. To our knowledge, this makes Legion the first mental health company ever to have approval to let AI provide actual medical care.\n\nThis is a meaningful product update for us because it is the first time AI in Legion can directly execute a real clinical workflow in production. Until now, most of the value we created came from making the clinic itself dramatically more efficient by automating 95%+ of the admin work. This is different. This is AI-native care delivery moving from support work into clinical action inside a live, regulated system.\n\n# TL;DR\n\nLegion Health is building autonomous medical care. We started by building an AI-native psychiatry clinic, and we’re now launching the next step: in Utah, Legion has received regulatory authorization for AI-led renewals of eligible psychiatric maintenance medications.\n\nWe think this is an important proof point that medical care can move from clinician-led workflows, to AI-led workflows with supervision, and eventually to fully autonomous care in well-scoped pathways.\n\n# The problem\n\n![uploaded image](/media/?type=post&id=99205&key=user_uploads/616238/55fd5ce0-2b67-4eef-9477-8c6e0841bb56)\n\nPsychiatry (mental health + medicine) is one of the clearest categories where a new site of care is needed.\n\nThe issue is not that people do not want care. It is that the system cannot deliver enough of it. There are too few psychiatric providers, too much administrative overhead, and too much friction between a patient needing help and a patient actually getting actionable clinical resolution.\n\nEven in the simplest cases, the system breaks down. A patient who is stable on a medication that is already working can still be forced to wait days or weeks, book a visit, incur costs, chase the pharmacy, and spend time and energy navigating the process instead of getting better. That is not a small inconvenience. It is a direct consequence of a care model built around scarce clinician minutes and fragmented operations.\n\nBut continuity is the unit, not visits. Mental health care works best when care is longitudinal, not episodic; when the system can follow the patient over time, resolve routine needs quickly, and escalate humans when something truly requires human judgment.\n\nThat is why we believe psychiatry (and medicine in general) needs a new digital front door to care: one that is always available, clinically actionable, and connected to licensed clinicians whenever escalation is needed.\n\n# Our progression: AI-native clinic -> semi-autonomous care -> fully autonomous care\n\n![uploaded image](/media/?type=post&id=99205&key=user_uploads/616238/949a0a17-f47b-466c-9948-e66ad8e57741)\n\nWe have always thought the path to autonomy matters just as much as the destination.\n\n### Phase 1: AI-native psychiatry clinic\n\nPhase 1 was the AI-native clinic. We built a real psychiatry clinic where human psychiatrists and AI agents work together to provide high-quality care directly to patients. That forced us to solve the hard, messy parts of the real world first: intake, scheduling, medical records, pharmacy coordination, prior authorizations, reimbursement, follow-up, and clinical escalation. In the process, we built a clinical + operational + reimbursement + regulatory stack in one system.\n\n**Demo:** Garry Tan recently featured Legion on Y Combinator’s YouTube, and here we show our AI operating system that allows us to take care of a huge clinic with an extremely small admin team, using automations and agents.\n\n<https://www.youtube.com/watch?v=rWUWfj_PqmM&amp;t=273s>\n\nThe Legion segment starts around 4:33.\n\n### Phase 2: Semi-autonomous care with clinician supervision (today)\n\nPhase 2 is what we are launching now: semi-autonomous care with clinician supervision. In this model, AI handles the default workflow in narrow, safety-scoped pathways, and clinicians supervise exceptions, ambiguity, and higher-complexity cases. The Utah renewals workflow is our first real example of this. It is the bridge from AI assisting clinicians to AI executing narrowly scoped clinical work, with clinician escalation when needed.\n\n**Our social media and press launch for our first-ever pilot in mental health:**\n\nLinkedIn: <https://www.linkedin.com/posts/yashmpatel1_today-we-took-another-huge-step-toward-truly-activity-7443320080760942592-27FX?utm_source=share&amp;utm_medium=member_desktop&amp;rcm=ACoAACKkTu8BFJG1YHsaT6kWOskKDexaBBvfIn8>\n\nX: <https://x.com/ArthurMacwaters/status/2037479229294874918?s=20>\n\nPress release: <https://nypost.com/2026/03/27/business/artificial-intelligence-can-now-prescribe-mental-health-drugs>\n\n### Phase 3: Fully autonomous care\n\nPhase 3 is fully autonomous care in the future. Over time, we believe more workflows will move from clinician-led to AI-led with supervision, to fully autonomous in well-scoped pathways with hard guardrails, continuous auditing, and mandatory escalation when appropriate.\n\nWe do not think medicine jumps from zero to full autonomy overnight. We think it gets there one real workflow at a time.\n\n# What we launched\n\n![uploaded image](/media/?type=post&id=99205&key=user_uploads/616238/7dafbb1d-8746-47cb-b95c-2f59185fd011)\n\nIn Utah, Legion is rolling out AI-led renewals for eligible lower-risk psychiatric maintenance medications.\n\nThe workflow is intentionally narrow and safety-scoped. Patients explicitly opt in, are clearly told they are interacting with AI, go through identity verification, and complete a focused safety review grounded in medication and chart context. If anything is ambiguous, higher-risk, or out of scope, the case escalates to a clinician. Patients can also request human review at any point.\n\nWe started with renewals because renewals are a perfect example of what is broken in mental healthcare today, and because they are exactly the kind of routine, high-friction workflow that should eventually become software-handled by default inside a real care-delivery system.\n\n# Why is this such an important step in healthcare AI?\n\nAt first glance, a refill may sound narrow. We think that is exactly why it matters.\n\nIf AI cannot safely take on a constrained, repetitive, clinically meaningful workflow like renewals, then talk of autonomous care is still mostly theory. But if AI can safely execute a narrow clinical workflow in production, under explicit guardrails, with clinician escalation when needed, then the future starts to become concrete.\n\nThat is what this launch represents.\n\nIt is not just a faster refill. It is a proof point that care can start moving:\n\n* from information to clinical action\n* from copilot to autopilot\n* from clinician-led workflows everywhere to clinician-led exceptions where they matter most\n* from scarcity-based care to a system that can eventually support abundance\n\nWe think this is the next important step toward the real solution: medical care that is always available, high-frequency, longitudinal, more personalized, more consistent, and able to scale far beyond clinician supply alone.\n\n# Why we had to build a clinic first\n\nWe did not start with a chatbot. We started by building the clinic.\n\nThat gave us something much more valuable than a thin AI layer: a unified data layer across records, prescriptions, scheduling, messaging, and follow-up; real operational feedback loops; clinician escalation pathways; and the infrastructure required to turn AI into actionable clinical resolution in the real world.\n\nWe think that is the real moat here.\n\nThe company that wins this category will not just have impressive models. It will own the default entry point to care, the patient relationship, the workflows, the regulatory trust, and the feedback loops required to make AI-native care delivery safe and real.\n\n# Why we started Legion Health\n\nMy co-founders and I have known each other for 12 years and were roommates at Princeton. I ([Yash](https://www.linkedin.com/in/yashmpatel1/)) worked on Medicare and Medicaid payment policy at the Congressional Budget Office, [Danny](https://www.linkedin.com/in/danielgwilson/) brings deep AI and engineering experience from Microsoft, and [Arthur](https://www.linkedin.com/in/arthur-macwaters/) brings product and operations depth from McKinsey.\n\nThis problem is also deeply personal to us. We started Legion because we have seen how broken the medical system can feel when someone actually needs help, and we want to build the kind of system we wish existed for people we love.\n\n![uploaded image](/media/?type=post&id=99205&key=user_uploads/616238/0d9011ba-2414-4482-8dfa-b481fdf51a5c)\n\n# Call to action\n\nIf you’re a **cracked engineer**, and you care about working on hard problems that impact real humans, we want to hear from you.\n\nIf you’re an **investor** who believes in a future where humans and AI work together to solve humanity’s biggest problems, we want to hear from you.\n\nIf you work in **digital health, payer partnerships, state/federal government, or AI-native care delivery** and want to talk, we want to hear from you.\n\nContact: [yash@legionhealth.com](mailto:yash@legionhealth.com)",
        "url": "https://www.ycombinator.com/launches/Po5-legion-health-autonomous-medical-care-starting-with-fully-ai-powered-psychiatric-medication-prescriptions",
        "votes": 12,
        "created_at": "2026-03-30T00:36:43.759Z"
      },
      {
        "id": 82526,
        "title": "🧠 Legion Health — World-class, AI-enabled psychiatry covered by insurance",
        "tagline": "We use AI and accept insurance so our psychiatric providers can take better care of more patients. ",
        "body": "# **🔍 TL;DR:**\n\nFor patients, we deliver world-class psychiatric care covered by insurance. For providers, our tech + LLM agents reduce administrative burden, increase payments, and enable high-quality care at scale. Check us out on our [website](https://legionhealth.com/)—if you’re in Texas and need care, we’d love to help.\n\nHi everyone! We’re [Yash](https://www.linkedin.com/in/yashmpatel1/), [Danny](https://www.linkedin.com/in/danielgwilson/), and [Arthur](https://www.linkedin.com/in/arthur-macwaters/)— and we're on a mission to build the largest network of psychiatric providers in the country and integrate LLMs into every facet of delivering care, ensuring patients can access high-quality, affordable treatment at scale.\n\n![uploaded image](/media/?type=post&id=82526&key=user_uploads/616238/b8caac8c-b744-4be6-9f78-c1e7cba87314)\n\n# **💔 Problem: Finding an available psychiatrist who accepts insurance can be brutal**\n\nIn the United States, only [around half of psychiatrists](https://jamanetwork.com/journals/jamapsychiatry/fullarticle/1785174) accept commercial health insurance, compared to over 90% of other medical specialists. This rate is [even lower](https://www.healthaffairs.org/doi/10.1377/hlthaff.2017.0325) for specific insurance plans. Moreover, [less than 20%](https://www.notion.so/Transcript-Patient-Messaging-11fb811d9b614ea5bf55b52445aee739?pvs=21) of psychiatrists are accepting new patients. For those who are, the median wait time for an in-person initial appointment is over 60 days.\n\nMany psychiatrists avoid taking insurance because the financial and administrative burdens outweigh the benefits. After covering administrative staff (scheduling, billing, patient support), paying for office space, and disputing insurance denials and underpayments, little profit remains for the psychiatrist.\n\nFor patients with serious mental health concerns, this lack of access and affordability can literally cost lives. The three of us deeply care about mental health and have personally experienced the difficulty of finding high-quality, affordable psychiatric care for ourselves, our family, and our friends.\n\n# **🌱 Opportunity: A huge and growing need**\n\nPost-COVID, [around 32% of U.S. adults](https://www.kff.org/other/state-indicator/adults-reporting-symptoms-of-anxiety-or-depressive-disorder-during-covid-19-pandemic/?currentTimeframe=0&selectedRows=%7B%22states%22:%7B%22all%22:%7B%7D%7D,%22wrapups%22:%7B%22united-states%22:%7B%7D%7D%7D&sortModel=%7B%22colId%22:%22Location%22,%22sort%22:%22asc%22%7D) experience mental health conditions annually, equating to about 83 million people. [Approximately 50%](https://www.samhsa.gov/data/sites/default/files/reports/rpt39443/2021NSDUHFFRRev010323.pdf) of these individuals, or 42 million, do not receive necessary treatment. About 25% of those with mental health issues, or 10 million people, require psychiatric care (rather than perhaps just therapy). With a conservative annual cost of $2,500 per patient, this translates to an unmet market opportunity of approximately $25 billion. The demand for psychiatric services is growing at [about 4.1% annually](https://www.grandviewresearch.com/industry-analysis/us-psychiatry-clinic-market-report). Additionally, [over 60% of U.S. counties](https://www.aamc.org/news/growing-psychiatrist-shortage-enormous-demand-mental-health-services) lack a psychiatrist, leaving these areas particularly underserved.\n\n# **💡 Solution: Using tech + AI to make high-quality psychiatric care viable and scalable**\n\nLegion Health is a network of psychiatric providers delivering world-class care to insured patients. Our software and AI dramatically reduce costs by minimizing capital expenses through telehealth and lowering operational costs with AI agents that enhance workflows and manage patient care with minimal human intervention.\n\nBy directly hiring our providers, we can quickly implement technology in a sandbox environment. Furthermore, as we scale, our stacking LLM agents continuously improve, enhancing care quality and patient experience. Unlike other VC-backed mental health companies (e.g., Betterhelp, Cerebral), we 1) accept insurance, 2) emphasize high-quality and ethical care, and 3) have genuine AI expertise.\n\nAt Legion Health, most patients:\n\n* See a psychiatric provider within a week.\n* Pay $30 or less out of pocket.\n* Pick up their medication from the pharmacy within 24 hours.\n* Receive rapid responses to messages from their provider or our front desk.\n* Actually see an improvement in their mental health due to high-quality treatment.\n\n![uploaded image](/media/?type=post&id=82526&key=user_uploads/616238/76d1fa28-a33e-4de9-bc7c-901e11d31105)\n\n# **📢 Asks**\n\n1. If you or someone you know in Texas needs psychiatric care, we'd love to help and gather feedback for product improvement.\n   * Sign up or refer patients using this link: [access this link](https://legionhealth.com/)\n2. We're hiring mission-driven, world-class individuals for the following roles. We’d love introductions to any potential candidates in your network:\n   * AI Engineer (preferably with experience in autonomous driving or machine learning)\n   * [Technical Growth/Product Marketing Lead](https://www.ycombinator.com/companies/legion-health/jobs/9JHdQqJ-technical-product-marketing-lead-legion-health-y-combinator-startup) (preferably consumer-focused)\n   * Product Designer (preferably consumer-focused)\n   * [Founding Clinical Operations Lead](https://www.squarepeghires.com/jobs/r410jr/founding-clinical-operations-lead-lcsw-legion-health-remote-preference-for-texas) (ideally, a tech-savvy mental health leader)\n3. Share this post! Please help spread the word, as many people struggle to find accessible, high-quality psychiatric care.\n4. Connect us with **Providers** (psychiatrists, psychiatric nurse practitioners), **Patients**, and **Payer Leadership** in Texas.\n   * _quick blurb to copy and paste:_ A team of psychiatrists and Princeton alums is building Legion Health, a high-quality, AI-enabled psychiatry network where patients can receive care from a provider who takes their insurance. Check them out and contact founders@legionhealth.com for more.",
        "url": "https://www.ycombinator.com/launches/LT4-legion-health-world-class-ai-enabled-psychiatry-covered-by-insurance",
        "votes": 23,
        "created_at": "2024-07-29T18:01:59.447Z"
      }
    ]
  },
  {
    "id": 23947,
    "name": "Odys Aviation",
    "slug": "odys-aviation",
    "former_names": [
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/bb92431faab2c13dd67bdb6a4ab666997707e604.png",
    "website": "https://www.odysaviation.com/",
    "all_locations": "Los Angeles, CA, USA",
    "long_description": "Odys Aviation (formerly Craft Aero) builds vertical take-off and landing aircraft for major airlines. We cut travel time in half on the world’s busiest routes by using city helipads and local airports.  The company founders are electric propulsion and automotive manufacturing experts who have spent their careers electrifying transportation systems at Virgin Hyperloop, GoogleX, Volvo, and Fisker Automotive. We’ve won two USAF Agility Prime contracts, have pre-orders and options for more than 1,000 aircraft.",
    "one_liner": "Vertical takeoff and landing aircraft for major airlines",
    "team_size": 11,
    "industry": "Industrials",
    "subindustry": "Industrials -> Aviation and Space",
    "launched_at": 1629562883,
    "tags": [
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    "batch": "Summer 2021",
    "status": "Active",
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    "regions": [
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    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/odys-aviation",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2021/odys-aviation.json",
    "year_founded": 2019,
    "city": "Los Angeles",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/odys-aviation/",
    "x_url": "https://twitter.com/OdysAviation",
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    "app_video_url": null,
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    "primary_partner": {
      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
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    "founders": [
      {
        "user_id": 687373,
        "full_name": "James Dorris",
        "title": "Founder",
        "founder_bio": "Prior to founding Odys Aviation (formerly Craft Aero), James held leadership roles at GoogleX, Virgin Hyperloop One, and Arrivo. He started his career in Fusion Energy Research at the MIT PSFC and has long been passionate about improving sustainability and efficiency of transportation systems. As employee 20 at Virgin Hyperloop One, he was responsible for building & leading the propulsion and levitation teams & tech. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jdorris3/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c3494258d7810be63d8f6109c90afa18f2333539.jpg"
      },
      {
        "user_id": 696561,
        "full_name": "Axel Radermacher",
        "title": "Founder",
        "founder_bio": "Axel Radermacher has spent his career advancing transportation by bringing together technology, design, and business.  At Odys, his core mission is assuring the product and the company exceed the needs of the customer and the market.  Previously, as Karma's Chief Vehicle Engineer for EV Platforms, he found the perfect balance between technology, comfort, and beauty.  In other roles, he electrified and redefined sports cars, trucks, and off-road vehicles.  ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/axel-radermacher/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4a7df5c605fd549321ac8bf1b17d966e7ca13b78.jpg"
      }
    ],
    "jobs": [
      {
        "id": 79778,
        "title": "Sr. Propulsion Controls & Simulation Engineer",
        "url": "https://www.ycombinator.com/companies/odys-aviation/jobs/tjJOAJj-sr-propulsion-controls-simulation-engineer",
        "location": "Long Beach CA",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 85713,
        "title": "Software Engineer – Systems Integration ",
        "url": "https://www.ycombinator.com/companies/odys-aviation/jobs/fQ20qqw-software-engineer-systems-integration",
        "location": "Long Beach CA",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 87738,
        "title": "Electrical Engineer [Propulsion]",
        "url": "https://www.ycombinator.com/companies/odys-aviation/jobs/IqwETu9-electrical-engineer-propulsion",
        "location": "Long Beach CA",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 91290,
        "title": "Sr. Power Electronics Engineer [Hardware]",
        "url": "https://www.ycombinator.com/companies/odys-aviation/jobs/NFwKROg-sr-power-electronics-engineer-hardware",
        "location": "Long Beach CA",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "",
        "visa": "US citizen/visa only",
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      },
      {
        "title": "Rootly nabs $3.2M seed to build SRE incident management solution inside Slack – TechCrunch",
        "url": "https://techcrunch.com/2021/07/08/rootly-nabs-3-2m-seed-to-build-sre-incident-management-solution-inside-slack/",
        "date": "Jul 08, 2021"
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        "id": 66512,
        "title": "🚒 Rootly - AI SRE, On-Call, Status Pages",
        "tagline": "Top YC companies like DoorDash, Webflow, Dropbox, Replit, and 100s more all trust Rootly.",
        "body": "## **TL;DR**\n\nRootly is the AI-native on-call and incident management platform that helps teams detect, manage, learn from, and resolve incidents faster—without leaving Slack or MS Teams. It brings Incident Response, On-Call, AI SRE agents, Status Pages, and Retrospectives into one purpose-built, end-to-end platform.\n\n![uploaded image](/media/?type=post&id=66512&key=user_uploads/642689/d1b534a4-b1f0-444d-b767-aab1d221e1cb)\n\n## **Problem**\n\nWe met at Instacart 🥕—where Quentin was the first SRE and JJ was leading product management efforts. As Instacart grew from a $1B to a $40B company, everything had to scale with it: infrastructure, teams, and the processes that keep the business running when things go wrong. With millions of orders flowing through the platform, incidents weren’t rare edge cases—they were an inevitable part of operating at that level. Checkout issues, platform outages, weird cascading failures at the worst possible times… we saw it all.\n\nWhat surprised us wasn’t that incidents happened. It was how quickly the _process_ broke down under pressure. Our manual way of responding—jumping between Slack, PagerDuty, Datadog, and a dozen dashboards—just wasn’t enough. Every incident started with the same scramble: spinning up channels, pulling people in, figuring out who’s running point, trying to keep comms coherent, and stitching together context from different tools and threads. It worked when the team was small and the system was simpler. At scale, it turned chaotic and inconsistent.\n\nAnd the hardest part wasn’t even the debugging. It was the inconsistency. You’d rely on runbook checklists and tribal knowledge, hoping someone remembered what to do next—who to page, which workflow to follow, how to communicate internally and externally, what steps to capture for the retrospective. In the moment, that’s a lot to ask. Afterward, it meant retros were slow (or skipped), action items drifted, and the same classes of incidents kept coming back because learning didn’t keep pace with growth.\n\n## **Solution**\n\nRootly gives you an end-to-end incident lifecycle—from first page to resolution to post-incident learning—built where teams actually operate (Slack & MS Teams), and it’s all powered by AI.\n\n<https://www.youtube.com/watch?v=56oyjjeNzqY>\n\n**Incident Response**\n\nRootly helps you declare incidents, spin up the right Slack channels and roles, coordinate responders, track tasks, and keep communication structured—while automating the operational “busywork” that normally slows teams down.\n\n**On-Call**\n\nRootly On-Call is built to notify the right person the first time, with scheduling and escalation that scales from a small team to a global org. It’s designed to be reliable and easy to use, with a beautiful mobile experience that makes getting paged somewhat enjoyable.\n\n**AI SRE Agents**\n\nRootly’s AI SRE agents help teams move faster during incidents by connecting the dots across signals like recent code changes, telemetry, and past incidents. Instead of starting from scratch every time, responders can quickly narrow in on probable causes, understand what changed, and get suggestions for fixes and next steps—along with the reasoning behind them.\n\n**Status Pages**\n\nRootly makes it easy to keep customers and stakeholders updated with public and private status pages, so incident comms don’t become another manual process during a high-stress event.\n\n**Retrospectives**\n\nRootly helps you turn incidents into learning. Create collaborative retros that teams can edit together, draft timelines and summaries faster, and track action items so the work actually gets done—not just written down.\n\n**AI everywhere responders actually feel it**\n\nDuring incidents, the biggest tax is cognitive load: listening, typing, summarizing, updating, and repeating yourself. Rootly uses AI to take that off the responder:\n\n* **AI Meeting Bot scribing:** Rootly can join your incident bridge, transcribe in real time, and capture key context so nothing gets lost.\n* **Instant catch-up:** Tag **@Rootly** in the incident channel to get a private, personalized summary of what’s happened so far, what’s been tried, and what’s next.\n* **Draft updates that match the audience:** Generate incident updates tailored to the recipient—customer-friendly language for external comms, crisp executive summaries for leadership, or detailed handoffs for engineering—so you’re not rewriting the same update five different ways.\n* **AI-generated retros:** Auto-draft retrospectives with timelines and context, then collaboratively refine and track action items to completion.\n* **Automated RCA:** Alerts, code changes, past incidents all analyzed at the speed of AI to determine probable root cause in minutes.\n\n**A full platform, or just what you need**\n\nUse Rootly as a complete incident management platform—or adopt products individually based on where you are today (Incident Response, On-Call, AI SRE, Status Pages, Retrospectives).\n\n## **Offer & Ask**\n\n* If you want to see how Rootly modernizes incident management end-to-end, book a demo and we’ll tailor it to your current stack and workflows.\n* If you’re a team with **&lt;25 employees**, we also offer **Pay What You Can** so you can get world-class incident management without the “enterprise price tag.”",
        "url": "https://www.ycombinator.com/launches/HIm-rootly-ai-sre-on-call-status-pages",
        "votes": 86,
        "created_at": "2022-10-05T05:45:37.027Z"
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        "title": "Head of Growth - Mexico ",
        "url": "https://www.ycombinator.com/companies/arq/jobs/mEqDTFn-head-of-growth-mexico",
        "location": "Mexico City / Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
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        "id": 94369,
        "title": "Content Manager Brazil",
        "url": "https://www.ycombinator.com/companies/arq/jobs/tYtn8F1-content-manager-brazil",
        "location": "São Paulo / Remote (US)",
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        "salary_range": "",
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        "id": 94370,
        "title": "Senior Android Engineer",
        "url": "https://www.ycombinator.com/companies/arq/jobs/hPHzPBm-senior-android-engineer",
        "location": "Krakow / London / New York / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
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        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
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        "id": 94371,
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        "location": "London / Krakow / Buenos Aires / Bogota / New York / Remote (US)",
        "type": "Full-time",
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        "role_type": "Full stack",
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        "experience": "Any (new grads ok)",
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        "id": 94372,
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        "url": "https://www.ycombinator.com/companies/arq/jobs/LsY0KD1-ciso-argentina",
        "location": "Buenos Aires / Remote (US)",
        "type": "Full-time",
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        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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        "id": 94374,
        "title": "Payment Operations Manager",
        "url": "https://www.ycombinator.com/companies/arq/jobs/rKYYS5U-payment-operations-manager",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
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        "id": 94375,
        "title": "Head of Growth - Colombia",
        "url": "https://www.ycombinator.com/companies/arq/jobs/6ZUvB4e-head-of-growth-colombia",
        "location": "Bogota / Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
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        "id": 94376,
        "title": "Recruiter",
        "url": "https://www.ycombinator.com/companies/arq/jobs/pVxHdVw-recruiter",
        "location": "New York / London / Remote (US)",
        "type": "Full-time",
        "role": "Recruiting & HR",
        "role_type": "Recruiter",
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
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        "id": 94377,
        "title": "Backend Engineer - London",
        "url": "https://www.ycombinator.com/companies/arq/jobs/qgevyFH-backend-engineer-london",
        "location": "London / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
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        "id": 94378,
        "title": "Junior Data Analyst - Krakow",
        "url": "https://www.ycombinator.com/companies/arq/jobs/m45Amrz-junior-data-analyst-krakow",
        "location": "Krakow / Remote (US)",
        "type": "Full-time",
        "role": "Operations",
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        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
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        "id": 94379,
        "title": "Junior Data Analyst - New York",
        "url": "https://www.ycombinator.com/companies/arq/jobs/fAL7pnu-junior-data-analyst-new-york",
        "location": "New York / Remote (US)",
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        "id": 94380,
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        "url": "https://www.ycombinator.com/companies/arq/jobs/vR0oGMw-platform-engineer-krakow",
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        "id": 94381,
        "title": "Senior Software Engineer (Platform) - Krakow ",
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        "title": "Latin America's Global Bank",
        "url": "https://www.youtube.com/watch?v=cA6g0iWBQpY",
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      {
        "title": "Tras inyección de capital por US$70 millones, DolarApp cambiará su nombre a ARQ",
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        "id": 66120,
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        "body": "Hello all! We are [Zach](https://www.linkedin.com/in/zachgarman/), [Alvaro](https://www.linkedin.com/in/alvaro-correa/) and [Fernando](https://www.linkedin.com/in/fterres/) and we are proud to officially launch [DolarApp](https://www.dolarapp.com/) – the global account for Mexico, Argentina, Colombia, and Brazil. With DolarApp you can\n\n* Dollarize your savings and earn 4% APY\n* Get your own US bank account details (ACH and Routing Number) and get paid without hassle\n* Spend internationally at the best rates, without hidden fees\n\n![uploaded image](/media/?type=post&id=66120&key=user_uploads/730279/e6f7d8b1-3fb0-4984-82a6-49584c992071)\n\n\\\n**Why did we build DolarApp?**\n\nThe three of us have spent a lot of time in Latin America and made great friends there. Friends who, simply because of where they were born, see their financial freedom limited: hyperinflation, bans on saving in USD, nightmares trying to move money in/out of their country and crazy fees when paying with a card when traveling.\n\nAfter spending a couple of years at Revolut, we learned that Fintech as we know it today is constrained by traditional financial systems, partners, and regulatory frameworks. We realized we could end those constraints by offering people in LatAm a better account for their everyday finances built on stablecoins, with focus on simplicity and away from typical crypto jargon and complexity.\n\n**Key benefits of DolarApp**\n\nWith DolarApp, you will be able to:\n\n* 🇺🇸 Get US bank account details without a Social Security Number\n* 📥 Pay and get paid from local bank accounts, receiving / withdrawing USDc immediately\n* 🌎 Spend internationally without hassle, at the best exchange rates\n* 💲 Dollarize your savings\n* 📈 Earn 4% on your balance annually, paid out second by second\n\n![uploaded image](/media/?type=post&id=66120&key=user_uploads/730279/65678393-8d08-4404-9375-bf98561c98ca)\n\n**The ask**\n\n* If you live in Mexico / Brazil / Colombia / Argentina, join DolarApp [here](https://dolarapp.onelink.me/SVAM/fnlwxe4b)\n* If you have employees/family/friends in those countries who could benefit of having DolarApp, share this link with them!",
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        "linkedin_url": "https://www.linkedin.com/in/harshit016/",
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        "full_name": "Santanu Mondal",
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        "title": "Senior Full Stack Developer",
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        "body": "### [**Rivia.AI**](http://Rivia.AI) **helps sales and marketing teams to create interactive video demos for their product with zero engineering effort.**\n\n### [**Check out the sample demo**](https://tours.rivia.ai/acc3Rr3VGKKB7/dem8PjfqNnxc2)\n\n![uploaded image](/media/?type=post&id=67356&key=user_uploads/471664/794d8f7c-f041-46b9-84b2-c21217e1cb66)\n\n**Problem**\n\n* For a lot of products, it’s super difficult for the prospects to understand how the product solves their problem\n* Product videos are the most commonly used solution but they don’t help prospects really experience the product.\n* Click-through demos aren’t engaging because prospects have to go through a lot of text and drop off quickly (or worse, click next without reading).\n\n**Solution**\n\n* We have combined the best of both worlds. Using [Rivia.AI](http://Rivia.AI), you can add a Loom-like personal explanation of your product while maintaining its interactivity.\n* Just clone your product using our chrome extension.\n* Record loom-like videos on top of your clone using the [Rivia.AI](http://Rivia.AI) editor.\n* Share instantly using a link or embed the demo on your website.\n\n**Ask:**\n\nIf this is helpful for you, we would love to have you onboard our beta program. To join the beta:\n\n* Schedule a quick 30 min call [here](https://calendly.com/samay-jain/intro-call-30-mins).\n* Or fill up [this](https://airtable.com/shrsAHGQDvspkr8js) form and we will get back with the access details.\n* Or feel free to drop an email at [samay@rivia.ai](mailto:samay@rivia.ai)",
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        "title": "Zen AirPods - Track and Correct your Posture with your AirPods 🧘🏽‍♀️🎧",
        "tagline": "Zen uses the motion sensor in your AirPods to track and correct your posture",
        "body": "### **Problem:**\n\nPosture impacts the way we think, look, feel, and act. Unfortunately, most of us spend the majority of our workdays hunched over a computer, leading to back and joint pain, headaches, and even long-term heart disease.\n\n### **How Zen AirPods Can Help:**\n\n![uploaded image](https://bookface.ycombinator.com/media/?type=post&id=66567&key=user_uploads/819571/c1ef6098-6893-4b54-92ba-eb3ba129248b)\n\n_Real-time Slouch Alerts -_ Zen uses the motion sensor in your AirPods (3rd generation, AirPods Pro, AirPods Max, Beats Fit Pro, and other headphones that can send motion data to your iPhone) to mirror your posture in real-time and gently alerts you (via phone vibration, audio alert, and/or a message notification), whenever you’re slouching for an extended period of time.\n\n![uploaded image](https://bookface.ycombinator.com/media/?type=post&id=66567&key=user_uploads/819571/7e971e8b-1da3-4fb1-a81c-26e3c1441ebf)\n\n_Background Mode_ - Zen runs completely in the background. With Background Mode you can get slouch alerts even when your phone is locked or if you’re using another app.\\\n\\\nZen can still send you gentle slouch alerts (via phone vibration, audio alerts, and/or a message notification). You can completely customize your Zen experience.\n\n![uploaded image](https://bookface.ycombinator.com/media/?type=post&id=66567&key=user_uploads/819571/18e79b59-58c5-4a48-bc93-2b19a8a7b7b3)\n\nZenInsights - Get detailed posture insights, including a posture score. See how much you’re Upright vs. Slouching throughout the day.\n\n![uploaded image](https://bookface.ycombinator.com/media/?type=post&id=66567&key=user_uploads/819571/86c7e691-f699-4dc4-a886-107734d663df)\n\nPosture & Workstation Tips - Learn how to sit and stand in comfort, get WFH office product recommendations, and more.\n\n## **Offer & Ask**\n\n* Sign up for a 7-day Free Trial here: <https://lnkd.in/dgH2xxBJ>",
        "url": "https://www.ycombinator.com/launches/HJf-zen-airpods-track-and-correct-your-posture-with-your-airpods",
        "votes": 19,
        "created_at": "2022-10-06T21:28:58.101Z"
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    "id": 24161,
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    "website": "https://www.tavus.io",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "At Tavus, we're building the human layer of AI. Our mission is to make human-AI interaction as natural as face-to-face interaction, enabling the human touch where it has been previously unscalable. We achieve this through pioneering research in multi-modal AI models for human perception and understanding, combined with state-of-the-art human avatar rendering and conversation models that we make accessible to developers worldwide. Our models and APIs power everything from text-to-video AI avatars to real-time conversational video experiences across industries like healthcare, recruiting, sales, education, and more. By enabling AI to see, hear, and communicate with human-like authenticity, we're creating the foundation for developers to create the next generation of AI employees, assistants, and companions.",
    "one_liner": "Building the human layer of AI",
    "team_size": 75,
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    "subindustry": "B2B",
    "launched_at": 1625678589,
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      "Video",
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      "AI"
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      "United States of America",
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      "Partly Remote"
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    "url": "https://www.ycombinator.com/companies/tavus",
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    "year_founded": 2021,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/tavus-io/",
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    "primary_partner": {
      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
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        "user_id": 731428,
        "full_name": "Hassaan Raza",
        "title": "Founder",
        "founder_bio": "Building the human layer of AI ",
        "is_active": true,
        "linkedin_url": "http://linkedin.com/in/hassaanraza/",
        "x_url": "https://twitter.com/hassaanraza97",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/26ecaa2e5e1c768401051e8b64ad701e8936d76a.jpg"
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        "user_id": 731467,
        "full_name": "Quinn Favret",
        "title": "Founder",
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        "id": 79584,
        "title": "Senior Software Engineer (Infrastructure)",
        "url": "https://www.ycombinator.com/companies/tavus/jobs/Wy7lub3-senior-software-engineer-infrastructure",
        "location": "San Francisco, CA, US / Remote (US)",
        "type": "Full-time",
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        "role_type": "Devops",
        "salary_range": "$160K - $250K",
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        "experience": "3+ years",
        "visa": "Will sponsor",
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        "id": 92526,
        "title": "Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/tavus/jobs/IjHCBZB-forward-deployed-engineer",
        "location": "San Francisco, CA, US",
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        "role_type": "Full stack",
        "salary_range": "",
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        "experience": "",
        "visa": "US citizen/visa only",
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        "id": 92819,
        "title": "Data Engineer ",
        "url": "https://www.ycombinator.com/companies/tavus/jobs/YxnA0Pd-data-engineer",
        "location": "Remote / Remote (US)",
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        "visa": "US citizen/visa only",
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        "id": 94046,
        "title": "Marketer (Brand, Product, Storytelling)",
        "url": "https://www.ycombinator.com/companies/tavus/jobs/jB6gyYb-marketer-brand-product-storytelling",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$120K - $150K",
        "equity_range": "",
        "experience": "3+ years",
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        "role": "Design",
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        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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        "url": "https://www.ycombinator.com/companies/tavus/jobs/D3tKARq-enterprise-account-executive",
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        "url": "https://www.ycombinator.com/companies/tavus/jobs/pVtHurX-product-manager",
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        "id": 106804,
        "title": "Business Development Representative",
        "url": "https://www.ycombinator.com/companies/tavus/jobs/Q2J5Kgn-business-development-representative",
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        "title": "Vibe Growth Marketer",
        "url": "https://www.ycombinator.com/companies/tavus/jobs/UDVRbcD-vibe-growth-marketer",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Operations",
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        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
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        "id": 106806,
        "title": "Senior Software Engineer (CVI)",
        "url": "https://www.ycombinator.com/companies/tavus/jobs/DzSZEjy-senior-software-engineer-cvi",
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        "experience": "5+ years",
        "visa": "US citizen/visa only",
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    ],
    "news": [
      {
        "title": "Tavus: The AI Human Platform",
        "url": "https://www.youtube.com/watch?v=6yPs2nDpYZo",
        "date": "Nov 14, 2025"
      },
      {
        "title": "Tavus raises $40M for more lifelike AI agents",
        "url": "https://www.axios.com/pro/enterprise-software-deals/2025/11/12/agentic-ai-tavus-human-40-milion-crv",
        "date": "Nov 12, 2025"
      },
      {
        "title": "Tavus raises $18M to bring face and voice cloning to any app",
        "url": "https://techcrunch.com/2024/03/12/generative-ai-video-startup-tavus-raises-18m-to-bring-face-and-voice-cloning-to-any-app/",
        "date": "Mar 12, 2024"
      },
      {
        "title": "Tavus taps generative AI to power personalized videos with voice and face cloning | TechCrunch",
        "url": "https://techcrunch.com/2023/03/20/tavus-taps-generative-ai-to-power-personalized-videos-with-voice-and-face-cloning/",
        "date": "Mar 20, 2023"
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      {
        "id": 83220,
        "title": "Conversational Replicas by Tavus",
        "tagline": "Build with real-time digital twins that speak, see, and hear",
        "body": "Hey everyone!\\\n\\\nWe're Quinn and Hassaan, co-founders of Tavus. At Tavus, we build AI models and APIs to empower development teams to build digital twin experiences with video generation and, now, real-time conversational video.\n\nWith the _Conversational Video Interface_, developers can build live video conversations with digital twins that speak, see, and hear. It's the world's only end-to-end conversational pipeline with less than a second of latency.\\\n\\\n**Live Demo**\n\n» Try talk to Carter, our demo Digital Twin, today at [www.tavus.io](http://www.tavus.io)\n\n![uploaded image](/media/?type=post&id=83220&key=user_uploads/731467/1e35574a-dbe4-425d-b9f3-f83d2d0e2752)\n\n**Challenge?** Consumers are feeling more isolated and detached than ever with the saturation of digital products and services, and they seek connectedness.\\\n\\\n**What are we launching?** Tavus is launching the Conversational Video Interface. It provides developers with all the tools they need to easily build innovative, immersive, and highly engaging conversational video experiences with digital twins that mimic real-life interactions.\n\nThis brings a human face, voice, emotion, and intelligence to daily digital interactions via life-like digital twins.\n\n![uploaded image](/media/?type=post&id=83220&key=user_uploads/731467/d6a855ad-878d-48c2-a98b-75e758c9fd38)\n\n**Use Cases**\n\nImagine getting live help from a human-like digital twin when buying something online, dealing with the DMV website, making a doctor's appointment, or booking travel.\n\nOr imagine speaking to an expert's digital twin, someone you otherwise couldn’t access.\n\nThese are the types of conversational video experiences you can build with the power of real-time digital twins and AI agents.\n\n**Try the LIVE DEMO!**\n\nSee the magic for yourself…\n\nChat with our demo digital twin, Carter. You can find him at [www.tavus.io.](http://www.tavus.io/)\n\n**Feedback welcome**\n\nWe’re excited to see what you build, and hear what you think!\n\n**Message us with feedback**\n\nDM on X:\\\n<https://x.com/hassaanraza97> \\\n<https://x.com/qfav95>\\\n<https://x.com/heytavus>\\\nDiscord Community:\\\n<https://discord.gg/mFHMcFKn>\n\nAppreciate your support!\\\nQuinn & Hassaan",
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        "votes": 29,
        "created_at": "2024-08-20T14:57:47.178Z"
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "",
    "one_liner": "First ECG AI to go beyond diagnostics and recommend treatment",
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        "full_name": "Rachita Navara",
        "title": "Founder",
        "founder_bio": "Dr. Navara is an EP cardiologist and bioengineer internationally recognized for her contributions to heart rhythm research and medical innovation. While caring for patients in the hospital, she identified the need to expand access to patients starting heart drugs. To solve this problem, she assembled a multi-disciplinary team including heart rhythm physicians, data scientists, AI engineers, clinical trialists, and regulatory experts. Her passion is to use engineering to transform heart health.",
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        "title": "Sales Development Representative",
        "url": "https://www.ycombinator.com/companies/safebeat/jobs/5oIH4QQ-sales-development-representative",
        "location": "CA, US / Remote (US; San Francisco, CA, US; Atlanta, GA, US; Austin, TX, US; Chicago, IL, US; New York, NY, US; Miami, FL, US; Philadelphia, PA, US; Memphis, TN, US; Detroit, MI, US)",
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    "website": "https://www.kodexglobal.com",
    "all_locations": "Boston, MA, USA; Remote",
    "long_description": "Kodex makes it easy for companies to process, and respond to, subpoenas from governments around the world. Agencies, like the FBI, subpoena user data from customers like Coinbase, and thousands of other companies - without Kodex, companies largely rely on email, fax, and spreadsheets to manage them.\r\n\r\nKodex is a SaaS tool that helps private sector companies manage relationships, workflows, and secure file transfer with government agencies who are seeking confidential information on a company's users. We streamline compliance operations, protect the privacy of their users, reduce error, and validate the legitimacy of government agents who are requesting information.",
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    "subindustry": "B2B -> Legal",
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        "full_name": "Matt Donahue",
        "title": "Founder",
        "founder_bio": "Formerly Counterterrorism Intelligence for the FBI. While in the FBI, Matt often saw multi-billion dollar companies struggle to comply with legal orders. He left the FBI in order to fix the way in which the public and private sectors engage/collaborate with one another by creating Kodex.",
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        "founder_bio": "Co-founder and CTO @ Kodex",
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        "body": "**TL;DR:** Rinse marries tech and hospitality to make routine mouth care easy, awesome, and way more effective. We’re just a few days away from opening our first location at 1763 Union St. San Francisco ([map](https://goo.gl/maps/JcPoM1wDaGX6FAma8)). You can now book instantly [online](https://rinse.page.link/aL7u) or in the Rinse [iOS app](https://rinse.page.link/vyJw)!\n\nHello 👋 I’m [Casey](https://www.linkedin.com/in/caseyharlin/), the founder of [Rinse](https://rinse.page.link/aL7u). I’m an engineer turned healthcare exec that spent 8 years leading product at Delta Dental, the world’s largest Dental insurance company.\n\n### **The problem… Going to the dentist sucks 😩**\n\nYour typical dental office offers inconvenient hours, antiquated tech, and a vibe straight out of the 90s. Likewise, with [little to no standard of care in dentistry](https://www.theatlantic.com/magazine/archive/2019/05/the-trouble-with-dentistry/586039/), we can only hope we’ve found an honest dentist who will focus on preventing, even reversing disease, not succumb to the perverse incentives of an industry optimized for ‘drilling, filling, and billing’.\n\n**The result…** 2 in 3 adults simply do not go to the dentist. A cycle of which leads to systemic oral health issues known to impact your overall health, confidence, and ultimately lead to costly (and painful) procedures we’d all rather avoid.\n\n### **Rinse makes it easy to get great mouth care 🙌**\n\nWe’re a technology enabled dental studio designed to make your routine mouth care easy, awesome, and way more effective!\n\n![uploaded image](/media/?type=post&id=67480&key=user_uploads/691376/e44970f8-c696-4c87-829a-0783691aec6d)\n\n![uploaded image](/media/?type=post&id=67480&key=user_uploads/691376/51e5395c-3bb9-47ab-b0ad-934ef2e0f95b)\n\n### **Our Ask 🙏**\n\n1. If you’re in the San Francisco Bay Area…**Book a visit**\n2. **Share this post!** Please help spread the word, especially with those you might know in the San Francisco Bay Area. \n\n_\\*\\* quick blurb to copy & paste_: A former Delta Dental exec recently launched the One Medical for dental in San Francisco. [Check them out](https://rinse.page.link/aL7u) and contact [founders@rinse.dental](mailto:founders@rinse.dental) for more! ",
        "url": "https://www.ycombinator.com/launches/HYO-rinse-building-the-one-medical-for-dental",
        "votes": 28,
        "created_at": "2022-11-22T20:19:25.910Z"
      }
    ]
  },
  {
    "id": 24206,
    "name": "Hyperbrowser",
    "slug": "hyperbrowser",
    "former_names": [
      "Supernote",
      "MetricFlow",
      "Metlo"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f3b213c6492ebfd585bec4644b94f381db09e0e4.png",
    "website": "https://hyperbrowser.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Hyperbrowser.ai is the internet infrastructure for AI agents. We provide instant, scalable browser infra with built-in CAPTCHA solving, proxy management, and anti-bot detection. \r\n\r\nDevelopers use us to power their AI agents for data collection, testing, and web automation at scale. We're backed by YC, Accel, SV Angel, and others.",
    "one_liner": "Web infra for AI agents",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Security",
    "launched_at": 1628188883,
    "tags": [
      "Developer Tools",
      "B2B",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2021",
    "status": "Active",
    "industries": [
      "B2B",
      "Security"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/hyperbrowser",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2021/hyperbrowser.json",
    "year_founded": 2021,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/hyperbrowser",
    "x_url": "https://x.com/hyperbrowser",
    "fb_url": null,
    "cb_url": null,
    "github_url": "https://github.com/hyperbrowserai",
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    "app_video_url": null,
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    "primary_partner": {
      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
    },
    "founders": [
      {
        "user_id": 233736,
        "full_name": "Shri Sukhani",
        "title": "Founder",
        "founder_bio": "Founder, CEO @ Hyperbrowser. Previously, Eng at Meta.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/shrisukhani",
        "x_url": "https://twitter.com/SukhaniShri",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2f3240bc666e1dfca46ebfcd404ae37b74a306a7.jpg"
      },
      {
        "user_id": 556017,
        "full_name": "Akshay Shekhawat",
        "title": "Founder",
        "founder_bio": "Founder @ hyperbrowser.ai",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/akshay-shekhawat/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/58c28996848605d8a210a90cbcc336cdf54ac647.jpg"
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    ],
    "jobs": [
      {
        "id": 75560,
        "title": "Growth Engineer Intern",
        "url": "https://www.ycombinator.com/companies/hyperbrowser/jobs/1LZDDAF-growth-engineer-intern",
        "location": "IN / Remote (IN)",
        "type": "Internship",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "₹25K - ₹200K INR",
        "equity_range": "",
        "experience": null,
        "visa": "US citizen/visa only",
        "skills": [
          "JavaScript",
          "Python",
          "React",
          "TypeScript",
          "Growth design",
          "Next.js"
        ]
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 89908,
        "title": "HyperAgent: Open Source AI Browser Automation Framework",
        "tagline": "Automate the Web with LLMs",
        "body": "**TL;DR / Summary:**\n\nHyperagent is the AI-native browser automation framework - think Playwright supercharged with AI. No more brittle scripts, just powerful natural language commands.\n\nHyperAgent gives you:\n\n* 🤖 **AI Commands**: Simple APIs like [page.ai](http://page.ai)(), page.extract() and executeTask() for any AI automation\n* ⚡ **Fallback to Regular Playwright**: Use regular Playwright when you don’t need AI\n* 🥷 **Stealth Mode** – Avoid detection with built-in anti-bot patches\n* ☁️ **Cloud Ready** – Instantly scale to hundreds of sessions via [Hyperbrowser](https://app.hyperbrowser.ai/)\n* 🔌 **MCP Client** – Connect to external tools for full workflows (e.g. writing web data to Google Sheets)\n\n⭐ **Check it out and give it a star on Github!**\n\n<https://github.com/hyperbrowserai/HyperAgent>\\\n\\\n<https://www.youtube.com/watch?v=0bHC1i1aRhI>\\\n\\\n**Browser Automation Is Broken**\n\nWe built HyperAgent because **browser automation is broken.** We've all been there – spending hours writing scripts that shatter the moment a website changes. With AI agents becoming mainstream, we need automation that's as adaptive as they are, and doesn’t break every time a css class changes.\n\nWith HyperAgent, we’re adding AI to your existing toolkit, wrapping playwright in simple, natural language commands that just work. So you can have the best of both worlds - keep what you love about playwright and automate the rest with AI.\n\n**HyperAgent Quickstart**\n\nTo use HyperAgent on an existing page, you can simply call [**page.ai**](http://page.ai):\n\n```\nawait page.ai(\"Find a route from Miami to New Orleans, and provide the detailed route information.\")\n```\n\n![uploaded image](/media/?type=post&id=89908&key=user_uploads/556017/f6d70ca6-70cf-4dff-a206-9263341cd681)\n\nThis will go to google maps, enter in the origin and destination, then return the route back.\n\nTo extract information from a page, call **page.extract:**\n\n```\nawait page.extract(“find the major cities that this path goes through\")\n```\n\n![uploaded image](/media/?type=post&id=89908&key=user_uploads/556017/2ca8cdba-b651-44e4-af20-9bdc7d1e0393)\n\n**Built-in Stealth Mode**\n\nHyperAgent comes with patches for stealth browsing so you don’t have to worry about getting blocked. For maximum stealth, use Hyperbrowser - it’s free to start.\n\n**Infinitely Extensible with MCP servers**\n\nWant to give HyperAgent access to custom tools or integrate with other apps? HyperAgent is an MCP client and offers infinite extensibility with any MCP server.\n\n**Scale to 100s of Concurrent Agents**\n\nUsing HyperAgent on HyperBrowser you can scale to 100s of concurrent agent runs in seconds. No need to worry about the underlying infrastructure.\n\n# Try It Today\n\n🚀 GitHub: <https://github.com/hyperbrowserai/hyperagent>\n\n![uploaded image](/media/?type=post&id=89908&key=user_uploads/556017/6aa560db-eee6-4bb6-9a9c-38c51fadb03d)\n\n",
        "url": "https://www.ycombinator.com/launches/NO8-hyperagent-open-source-ai-browser-automation-framework",
        "votes": 19,
        "created_at": "2025-04-28T15:08:07.451Z"
      },
      {
        "id": 89020,
        "title": "Hyperpilot: AI Browser Agent Playground by Hyperbrowser",
        "tagline": "Experience the future of the Agentic Web for Free with HyperPilot",
        "body": "# **TL;DR / Summary:**\n\nAI Browser Agents are powerful but costly/hard to access. HyperPilot lets you try all the leading browser agents (CUA, Claude CU, Browser Use) for free. It's built on Hyperbrowser, our infra that lets you build agents with a free API key + 5 lines of code.\n\n<https://www.youtube.com/watch?v=1AbjFhf2T0k>\n\n**Why**\n\nAI browser agents like OpenAI's CUA and Anthropic's Claude Computer Use promise to revolutionize web automation. But getting hands-on experience is tough. Tools are limited, complex, or expensive – OpenAI's Operator preview costs $200/month just to try. How can you explore this future without breaking the bank?\n\n# **What**\n\nWe're launching [HyperPilot](http://pilot.hyperbrowser.ai): A free, easy-to-use playground where you can directly interact with and compare different AI browser agent models. See firsthand what they can really do.\n\nHyperPilot isn't just a demo; it’s a fully functional browser agent playground that runs entirely on [Hyperbrowser](https://hyperbrowser.ai) - our robust and scalable browser infrastructure designed specifically for AI agents.\n\n# **Who is this for? What should you do with it?**\n\n### **Everyone**\n\nTry it out for yourself. See what the future of Browser Agents actually holds. Check out Claude Computer Use, OpenAI’s CUA, and more. If you get inspired by what you see, we’d love to hear from you and help in any way we can! Reach out to us at [founders@hyperbrowser.ai](mailto:founders@hyperbrowser.ai)\n\n_(Hyperbrowser booking Kendrick Lamar concert tickets)_\n\n![uploaded image](/media/?type=post&id=89020&key=user_uploads/233736/c8e39379-b378-45a7-a97b-7caafc1df810)\n\n### **Developers**\n\nUse HyperPilot to rapidly prototype your agents, prompts, and automations. Everything you see in HyperPilot is powered by Hyperbrowser infrastructure along with OpenAI, Anthropic, and Google DeepMind’s models.\n\nWant to build this magic into your own apps? With Hyperbrowser, you can get started using OpenAI’s CUA, Anthropic’s Claude Computer Use, and more with just a free API key and 5 lines of code.\n\nCheck out the docs here:\n\n* [Claude Computer Use on Hyperbrowser](https://docs.hyperbrowser.ai/agents/claude-computer-use)\n* [OpenAI CUA on Hyperbrowser](https://docs.hyperbrowser.ai/agents/openai-cua)\n\nGet your free API key here: <https://hyperbrowser.ai>\n\n_(Claude computer use on Hyperbrowser in 5 lines of code)_\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXcqYG4wQaP9VTtLxvuXkLewpbDHxUCaWa2JU8rfhb9HYJBzLjuSViGyIoV-0jhpI8-w113eSxlPbYeQpQveCIKKX25CKV1DkgyCJ9DN1PTeoQf9cU1PX-T-QvuimhOskpAY1aIF?key=SWtClCBzkj7TSIatblqhIGY5)\n\n# **Our Asks**\n\n🆓 Try the leading AI browser agents for FREE on HyperPilot: [pilot.hyperbrowser.ai](http://pilot.hyperbrowser.ai)\\\n🛠️ Developers, get your free API key and start building: <https://hyperbrowser.ai>\\\n🔥 Share your favorite models and use cases with us on [LinkedIn](http://linkedin.com/company/hyperbrowser) and [X](http://x.com/hyperbrowser)",
        "url": "https://www.ycombinator.com/launches/N9o-hyperpilot-ai-browser-agent-playground-by-hyperbrowser",
        "votes": 78,
        "created_at": "2025-03-26T21:21:30.836Z"
      },
      {
        "id": 88849,
        "title": "Hyperbrowser MCP Server - Connecting AI to the Web 🌐 🤖",
        "tagline": "Connect LLMs to the web for research, coding, and automation",
        "body": "**TL;DR:**\n\nGive your LLMs / IDEs superpowers by connecting them to the web with Hyperbrowser's MCP. Unlock deep research, coding with live documentation, data extraction, and browser automation capabilities in 2 minutes. Install in seconds with `npx -y hyperbrowser-mcp` and use with Claude Desktop, Cursor, Windsurf, or your favorite MCP client.\n\n**ASK:** Building AI agents, developer tools, or research applications? Email us at [shri@hyperbrowser.ai](mailto:shri@hyperbrowser.ai) or [akshay@hyperbrowser.ai](mailto:akshay@hyperbrowser.ai)\n\n<https://www.youtube.com/watch?v=HUA4uPwcS8U>\n\n## ❌ The Problem\n\nLLMs are powerful but isolated. They can't:\n\n* Access real-time web information\n* Interact with websites to complete tasks\n* Generate code using up-to-date documentation (even OpenAI API calls are sometimes botched)\n* Extract structured data from multiple sources in real-time\n\n## 🛠️ Our Solution\n\nHyperbrowser MCP Server connects LLMs directly to the web through Anthropic's Model Context Protocol.\n\n`$ npx -y hyperbrowser-mcp`\n\n**Our MCP Server exposes 7 powerful tools:**\n\n\\- **Web data tools:** scrape_webpage, crawl_webpages, extract_structured_data, search_with_bing\n\n\\- **Browser automation:** browser_use_agent, openai_computer_use_agent, claude_computer_use_agent\n\nYour favorite MCP client can use the web data tools to surf the web for real-time information and data + use the browser automation tools to take actions like ordering a pizza or commenting on a GitHub pull request.\n\n## 💡 What You Can Build\n\n* **Deep Research in Cursor:** Claude, Cursor, and Windsurf can use Hyperbrowser's MCP server to do extremely deep research on any topic. No need for $200/mo ChatGPT Pro.\n* **Faster coding with AI:** Generate working code with current API docs, automate code reviews, build integrations\n* **Extract Data:** Convert web content to structured datasets, right in your claude app\n* **Automate Tasks:** Test applications, submit forms, automate UI tests\n\nCheck out this video of my cofounder vibe coding a whole game with Cursor and Hyperbrowser's MCP Server:\n\n<https://www.youtube.com/watch?v=wT89pY6zW4o>\n\n## 🙏 Our Asks\n\n* **Try it out!** Get a free API key at [app.hyperbrowser.ai](http://app.hyperbrowser.ai) and install in your clients (instructions here - [github.com/hyperbrowserai/mcp](http://github.com/hyperbrowserai/mcp))\n* **Share this post** with AI devs and researchers\n* **Connect with us** at [shri@hyperbrowser.ai](mailto:shri@hyperbrowser.ai) and [akshay@hyperbrowser.ai](mailto:akshay@hyperbrowser.ai)\n* **Follow us** at [x.com/hyperbrowser](http://x.com/hyperbrowser) and [linkedin.com/company/hyperbrowser](http://linkedin.com/company/hyperbrowser)\n* **Join our community** on Discord - <https://discord.gg/zsYzsgVRjh>\n\n![uploaded image](/media/?type=post&id=88849&key=user_uploads/233736/98d7ef01-89f4-475b-af5b-90679a5f3097)\n\n",
        "url": "https://www.ycombinator.com/launches/N73-hyperbrowser-mcp-server-connecting-ai-to-the-web",
        "votes": 93,
        "created_at": "2025-03-21T00:51:31.528Z"
      },
      {
        "id": 87074,
        "title": "Hyperbrowser - Web infrastructure for AI agents",
        "tagline": "AI’s Gateway to the Web",
        "body": "## TL;DR\n\nHyperbrowser is AI's gateway to the web. We make it dead simple to give your AI agents reliable, scalable scraping and browser automation capabilities without getting blocked or dealing with infra headaches. One API call to HB gives you a browser session with built-in stealth mode, proxy rotation, automatic CAPTCHA solving, session management, session recordings etc. Hyperbrowser is the only browser platform that lets your agents spin up 100s of concurrent browsers with sub-second start times.\n\n<https://www.youtube.com/watch?v=LZIPzjyEuGU>\n\n## Why is this important? And why now?\n\nThe web wasn't built for AI—but AI needs the web. In 2025, Agents are finally here. We've met so many companies building web-based agents who keep running into the same problems:\n\n* They keep getting blocked\n  * Websites detect and shut down automation, making it hard to scale AI-driven browsing.\n* Web automation at scale is a nightmare to manage\n  * Managing browser infrastructure is expensive, slow, and unreliable—especially when running thousands of concurrent sessions\n* High latency\n  * High latency creates a terrible user experience and leads to frustration\n\nThe future is AI-driven agents that browse, transact, and take action. Hyperbrowser enables Agents to reliably interact with the web.\n\n## Our Solution\n\n**Core Infrastructure**\n\n* Launch thousands of undetectable browsers in <1s\n* Built-in anti-detection & stealth mode - bypasses anti-bot systems and fingerprinting\n* Automated CAPTCHA solving\n* Ultra-low latency globally distributed infrastructure\n\n**Developer Experience**\n\n* Multiple levels of abstraction:\n\n```\n// High-level API for instant results\nconst data = await client.scrape.startAndWait({\n  url: \"https://example.com\",\n  solveCaptchas: true\n});\n\n// Or fine-grained control when you need it\nconst session = await client.sessions.create();\nconst browser = await connect({ \n  browserWSEndpoint: session.wsEndpoint \n});\n```\n\n* Full compatibility with Puppeteer, Playwright, and Selenium\n* Comprehensive session management and monitoring\n* Live stream APIs for real-time session data\n* Native integrations with LangChain, LlamaIndex, and more\n\n**Infrastructure & Scaling**\n\n* Instant browser session startup (<1s)\n* Scale from 1 to 1000s of concurrent sessions\n* Flexible pricing tiers to match your needs\n* No infrastructure management required\n\n## What People Are Building with Hyperbrowser\n\n* Web research agents automating sales and marketing research\n* AI agents booking flights and analyzing markets in real-time\n* Testing teams running 500+ concurrent browser sessions\n* Companies collecting training data for AI models at scale\n* Automated KYC/KYB processes with built-in compliance\n\n## Get Started\n\n* Try it free at <https://hyperbrowser.ai> \n* Join our Discord - <https://discord.com/invite/zsYzsgVRjh>\n* Follow us on X - [x.com/hyperbrowser](http://x.com/hyperbrowser)\n* Follow us on LinkedIn - [linkedin.com/company/hyperbrowser](http://linkedin.com/company/hyperbrowser)\n* Email us directly: [akshay@hyperbrowser.ai](mailto:akshay@hyperbrowser.ai) or [shri@hyperbrowser.ai](mailto:shri@hyperbrowser.ai)\n\n![uploaded image](/media/?type=post&id=87074&key=user_uploads/556017/8dc23770-3861-4ce3-8426-ef5be417d5d6)\n\n",
        "url": "https://www.ycombinator.com/launches/MeQ-hyperbrowser-web-infrastructure-for-ai-agents",
        "votes": 92,
        "created_at": "2025-01-23T02:44:54.888Z"
      }
    ]
  },
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    "id": 24244,
    "name": "Bree",
    "slug": "bree",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e2b8508bb1fae945934f1e926c40a84cd261322b.png",
    "website": "https://www.trybree.com/",
    "all_locations": "Vancouver, BC, Canada",
    "long_description": "Bree is building a challenger bank for the 11 million Canadians living paycheck to paycheck, starting with interest-free cash advances. We make money through tips and an optional, same-day express fee. By solving our customers' most urgent problem—illiquidity between paychecks —our cash advance business is a cheap, but profitable and repeatable hook that builds distribution for a broader challenger bank. This represents a $9 billion revenue opportunity in Canada.",
    "one_liner": "Chime for Canada, starting with cash advances",
    "team_size": 2,
    "industry": "Fintech",
    "subindustry": "Fintech -> Consumer Finance",
    "launched_at": 1626365097,
    "tags": [
      "Fintech"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2021",
    "status": "Active",
    "industries": [
      "Fintech",
      "Consumer Finance"
    ],
    "regions": [
      "Canada",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/bree",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2021/bree.json",
    "year_founded": 2021,
    "city": "Vancouver",
    "country": "CA",
    "linkedin_url": "",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e2b8508bb1fae945934f1e926c40a84cd261322b.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": null,
    "founders": [
      {
        "user_id": 574251,
        "full_name": "Alexander Li",
        "title": "Founder",
        "founder_bio": "Born in China, raised in Canada and currently based out of Vancouver. Studied CS + Business in college and did 2 years of investment banking at JP Morgan in San Francisco prior to working on start-ups. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/alexander-li-19900783/",
        "x_url": "https://twitter.com/alexli00",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7b081a3fbfc6698e2e9fe5b6b3fe5d87697fa1ce.jpg"
      },
      {
        "user_id": 546256,
        "full_name": "Adam Kang",
        "title": "Founder",
        "founder_bio": "Founder at Bree. Previously worked in investment banking at J.P. Morgan and as a software engineer at Darkstore.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/adamkang/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/947dd99a79861834e6f730ff7caff16e9ab9ed30.jpg"
      }
    ],
    "jobs": [
      {
        "id": 70301,
        "title": "Software Engineer, Mobile",
        "url": "https://www.ycombinator.com/companies/bree/jobs/fHGAxiQ-software-engineer-mobile",
        "location": "Toronto, ON, CA / Remote (CA)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Android",
        "salary_range": "$120K - $220K CAD",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
          "React",
          "React Native"
        ]
      },
      {
        "id": 85886,
        "title": "Creative Strategist",
        "url": "https://www.ycombinator.com/companies/bree/jobs/OyMSrxP-creative-strategist",
        "location": "Toronto, ON, CA / Toronto, Ontario, CA / Remote (Toronto, ON, CA; Toronto, Ontario, CA)",
        "type": "Contract",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$40 CAD / hourly",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 91143,
        "title": "Senior Product Designer",
        "url": "https://www.ycombinator.com/companies/bree/jobs/hwptDyB-senior-product-designer",
        "location": "Toronto, ON, CA / Toronto, Ontario, CA / Remote (Toronto, ON, CA; Toronto, Ontario, CA)",
        "type": "Full-time",
        "role": "Product",
        "role_type": null,
        "salary_range": "$100K - $150K CAD",
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        "title": "Full Stack AI Engineer",
        "url": "https://www.ycombinator.com/companies/scispot-io/jobs/SuXlbFO-full-stack-ai-engineer",
        "location": "US / GB / DE / ES / PL / NL / IN / Remote (US; GB; DE; ES; PL; NL; IN)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$80K - $120K",
        "equity_range": "0.10%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Amazon Web Services (AWS)",
          "Kubernetes",
          "Python",
          "React",
          "Elasticsearch",
          "RDS/Aurora",
          "LLMs",
          "AI Agents"
        ]
      },
      {
        "id": 97376,
        "title": "Senior Backend & Infrastructure Engineer",
        "url": "https://www.ycombinator.com/companies/scispot-io/jobs/QX1c0xf-senior-backend-infrastructure-engineer",
        "location": "US / ES / DE / GB / PL / IN / CA / Remote (US; ES; DE; GB; PL; IN; CA)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$100K - $175K",
        "equity_range": "0.10%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Amazon Web Services (AWS)",
          "Microsoft Azure",
          "Kubernetes",
          "PostgreSQL",
          "Python",
          "RabbitMQ",
          "Elasticsearch",
          "Jenkins",
          "Software Security",
          "Microservices",
          "Terraform",
          "LLMs",
          "AI Agents"
        ]
      }
    ],
    "news": [
      {
        "title": "Scispot closes $8-million USD Series A to become the operating layer for life sciences labs | BetaKit",
        "url": "https://betakit.com/scispot-closes-8-million-usd-series-a-to-become-the-operating-layer-for-life-sciences-labs/",
        "date": "Jun 04, 2026"
      },
      {
        "title": "Scispot Launches Scibot™: An AI Agent on Its Lab Operating System",
        "url": "https://www.prweb.com/releases/scispot-launches-scibot-an-ai-agent-on-its-lab-operating-system-302164534.html",
        "date": "Jun 05, 2024"
      },
      {
        "title": "From Expedia to Scispot: A startup founder’s journey to build data infrastructure for biotech – GeekWire",
        "url": "https://www.geekwire.com/2024/from-expedia-to-scispot-a-startup-founders-journey-to-build-data-infrastructure-for-biotech/",
        "date": "May 30, 2024"
      },
      {
        "title": "Scispot Introduces Lab Operating System and GLUE on AWS Marketplace",
        "url": "https://www.prweb.com/releases/scispot-introduces-lab-operating-system-and-glue-on-aws-marketplace-302038310.html",
        "date": "Jan 18, 2024"
      },
      {
        "title": "Indee Labs adopts Scispot to operate as a digital biotech company - Communitech",
        "url": "https://communitech.ca/technews/indee-labs-adopts-scispot-to-operate-as-a-digital-biotech-company.html",
        "date": "May 26, 2023"
      }
    ],
    "launches": [
      {
        "id": 107928,
        "title": "Scispot Smart Actions",
        "tagline": "We stopped connecting instruments and started letting them make decisions",
        "body": "![uploaded image](/media/?type=post&id=107928&key=user_uploads/697526/3baf4e61-60db-413e-a024-a596c1cf70d1)\n\nAt 11:40pm, an analyst at a biotech we work with was staring at a plate of 96 ELISpot wells, trying to figure out why three \"positive\" results didn't match the raw counts. She'd already re-typed the spot counts into a spreadsheet once. She was about to do it again, by hand, to double-check herself because the instrument doesn't know what a \"positive\" is. It just counts spots. Someone has to turn that count into a decision, and that someone was her, at midnight, for the fourth night that week.\n\nThat's not a story about one analyst. That's the entire industry's relationship with lab data, and it hasn't meaningfully changed in a decade.\n\n## **The part everyone stops short of**\n\nMost labs eventually solve the easy problem: getting a file off an instrument and into some kind of system of record. That's plumbing, and plumbing gets built. What almost nobody automates is the step after deciding whether a result is even valid.\n\nDoes it clear the CV threshold?\n\nIs this well too confluent to trust (TNTC)?\n\nWhat's the right baseline to compare against? Is this a Positive, a Negative, or a QC Fail?\n\nThat judgment still lives in someone's head and someone's spreadsheet, redone by hand, every single run.\n\nWe think that's the real bottleneck in lab data - not moving files around, but making trustworthy calls on what's inside them, fast enough to keep up with how fast science actually moves.\n\n## **The infrastructure that makes this possible: GLUE**\n\nNone of this works without a real connectivity layer underneath it, so we built one. [Scispot GLUE](https://www.scispot.com/glue) is our API-first integration backbone with hundreds of connectors, native HL7/ASTM support, and webhooks — that plugs into instruments, LIMS-like entities, and external systems without custom code for every new device.\n\nGLUE is the nervous system; Smart Actions are the brain sitting on top of it, deciding what every signal actually means.\n\nThat distinction matters. A lot of \"lab automation\" stops at GLUE's job: get the file, map the fields, store the record. We built Smart Actions specifically because moving the data was never the finish line — it was the prerequisite.\n\n## **What we actually built**\n\n[Smart Actions](https://www.scispot.com/smart-actions) are AI-agent workflows inside Scispot that don't stop at moving data - they interpret it.\n\nA Smart Action parses a raw instrument export, maps every well to the right sample and treatment condition, applies your lab's QC rules automatically (CV thresholds, LLOQ cutoffs, TNTC handling), computes the real statistics — averages, fold change against baseline — and writes the _decision_, not just the number, straight into your Labsheets.\n\nThe ELISpot plate our analyst stayed up for?\n\nToday that run finishes, and by the time she opens her laptop, the QC-gated summary is already sitting in the [Scispot Labsheet](https://www.scispot.com/labsheets) - Positive, Negative, Indeterminate, or QC Fail, each one traceable back to exactly why. Not a spreadsheet she has to trust blindly. A decision she can audit in one click.\n\n## **Why this is a bigger bet than \"faster data transport\"**\n\nMoving data fast, which is what GLUE gives you, is table stakes. The hard, valuable problem is the judgment layer on top of it is this result real, does it pass QC, what does it mean for the next experiment. That's what Smart Actions own, permanently, for every run, not just the one someone remembered to check carefully.\n\nSmart Actions are composable, build one for ELISpot, reuse the same pattern for a plate-reader screen routing hits into follow-up assays, chain them together across protocols, all running on top of GLUE's connectivity. And they're callable by [Scibot Omega](https://www.scispot.com/product-releases/scibot-omega), our AI orchestrator, so a scientist can just say \"clean this run, QC it, summarize it for the sponsor\" and the right Smart Actions execute end to end.\n\n## **Why we're telling you this now**\n\nWe've launched Scispot on YC before as a platform, and GLUE as our connectivity layer.\n\nThis time we wanted to talk about the layer built on top of it that our customers actually thank us for - the layer that means their best analyst stops being a human QC script running at midnight, and starts being a scientist again.\n\nIf you've ever stared at a spreadsheet at 11pm trying to figure out why a result doesn't add up, we built this for you.\n\n👉 **scispot.com/demo**\n\n<https://www.youtube.com/watch?v=_BFoFo_0zHk>",
        "url": "https://www.ycombinator.com/launches/S4m-scispot-smart-actions",
        "votes": 14,
        "created_at": "2026-07-27T23:39:25.957Z"
      },
      {
        "id": 101995,
        "title": "Scispot MCP 🧠 Run Claude inside your governed lifescience lab data",
        "tagline": "27 MCP tools that let Claude, Cursor, and ChatGPT act on samples, lineage, and lab workflows with full RBAC and audit.",
        "body": "![uploaded image](/media/?type=post&id=101995&key=user_uploads/697526/0294af99-be72-4dcf-8f4f-4ff0d65f9e6f)\n\n📝 **TL;DR**\n\nScispot is the governed operating system for sample-centric labs. We just shipped an MCP server with 27 tools so Claude, Cursor, Claude Code, and ChatGPT can act directly on your live lab data with the same role permissions and audit trail as a human in the UI.\n\nHey everyone 👋\n\nI'm Satya, co-founder of [**Scispot**](https://scispot.com/). Today we're launching the **Scispot MCP Server**, the first MCP server built for the governed lab operating system that scaling biotech, diagnostics, and regulated CROs run on.\n\n🎯 **The problem**\n\nLabs that are growing past 20–500 people don't have an \"ELN or LIMS problem\"; they have a fragmentation problem. Samples live in one system, results in another, instruments in a third, methods in Google Docs, and the answer to \"which lot did this come from\" lives in a person's head.\n\nThat fragmentation has three consequences AI makes worse, not better:\n\n* **Shadow workflows.** Scientists copy sample data into Claude, ask it to find anomalies, paste the answer back, and (hopefully) update inventory. QA can't audit it.\n* **Governance leaks.** A general-purpose agent has no idea a CRO coordinator shouldn't see another sponsor's samples, or that a clinical reviewer's role limits what they can edit.\n* **AI initiatives stall.** Leadership wants AI outcomes. The data foundation isn't ready. CAP/CLIA and GxP teams say no until it is.\n\n📈 **Scispot's solution**\n\nWe built Scispot as the **governed operating system for sample-centric labs**: sample-first data model, RBAC, audit, approvals, and a single API surface across every workflow a lab actually runs. The MCP server makes that operating system addressable by any agent:\n\n* **27 tools** spanning sample search and lineage, structured tables, methods and protocols, freezer and inventory state, lab flows, and image retrieval — all consistent under one auth and audit model.\n* **RBAC at the tool layer.** Every call resolves the calling user's role. A CRO coordinator can't see another sponsor's samples through the agent. **This is what unblocks regulated buyers.**\n* **Audit + approvals inherited.** Every MCP action lands in the same activity stream as a UI action, with actor, timestamp, and diff. Sensitive writes route through the same approval steps. The agent isn't a back door for CAP/CLIA or GxP.\n* **OAuth 2.0 + PKCE** on top of a Scispot. Compatible with Claude Desktop, Claude Code, Claude Web, Perplexity, Cursor, and ChatGPT.\n* **One system, not five.** Most customers retire 3–5 disconnected tools (LIMS, ELN, freezer, inventory, spreadsheets) on the way in. MCP gets one auth model, not five integrations.\n\n🚀 **Traction**\n\n* **Live in production** with 100+ labs\n* **27 production tools** shipped, with usage metering\n\n🙋 **What customers are doing with it**\n\n* **pharma R&amp;D:** retiring a GraphPad + Claude + manual reporting stack. Their go-to prompt: _\"summarize all experiments linked to samples where Reagent Lot is XX-007.\"_ Answered against governed data, not a stale CSV.\n* **process development labs (e.g. fermentation) :** asking Claude to walk sample lineage and storage state: \"which box, which rack, which plate, which lineage\" without learning the Scispot menu hierarchy.\n* **translational teams:** wiring LaTeX-based methods writing to live experiments, so the methods section assembles itself from the actual run record. The next reader is a sponsor or regulator.\n* **AI/ML &amp; Informatics teams:** treating MCP as the programmatic spine of an ML pipeline instead of maintaining yet another export script. Sample-first data model, no separate warehouse to keep in sync.\n\n📚 **Backstory**\n\nWe started Scispot because we watched scaling biotechs, molecular diagnostics labs, and regulated CROs lose weeks to fragmentation; every minute saved on the bench got eaten back at the spreadsheet. When MCP shipped, the standard finally let us put AI inside the governed system instead of beside it. We shipped MCP to the first cohort in March 2026.\n\n🚀 **Our ask**\n\n1. **If you run a sample-centric lab** — scaling biotech, molecular diagnostics, or regulated CRO — try the MCP server. Beta opt-in: [**survey.scispot.io/mcp**](https://survey.scispot.io/mcp)\n2. **Intros welcome** to Heads of Lab Ops, Informatics, or QA at labs feeling IND / CAP-CLIA / sponsor pressure. Email me directly: [**satya@scispot.io**](mailto:satya@scispot.io).\n\n   **See it in context:** [**top 5 use cases**](https://www.scispot.com/blog/top-5-scispot-mcp-use-cases) · [**press release**](https://www.prweb.com/releases/scispot-launches-mcp-server-to-bring-governed-ai-actions-to-live-lab-workflows-302719006.html).",
        "url": "https://www.ycombinator.com/launches/QX5-scispot-mcp-run-claude-inside-your-governed-lifescience-lab-data",
        "votes": 15,
        "created_at": "2026-05-26T21:48:47.952Z"
      },
      {
        "id": 95334,
        "title": "GLUE Robo: Lab automation layer for robots & instruments",
        "tagline": "An event‑driven automation layer for high‑throughput life science labs",
        "body": "Hey everyone! This is [Satya](https://www.linkedin.com/in/satyaravisingh/) & [Guru](https://www.linkedin.com/in/iamguru/) from Scispot. We just launched [Scispot GLUE Robo](https://www.scispot.com/blog/glue-robo-automation-transforming-lab-efficiency) - lab automation layer that seamlessly connects high throughput plate movements with Scispot LIMS.\n\nTL;DR: GLUE Robo connects lab instruments, robots, and data systems so results flow into [Scispot labsheets](https://www.scispot.com/labsheets) and databases in real time. No manual copy‑paste. No brittle scripts. Researchers get cleaner data. Heads of Data get lineage and control. Teams get time back.\n\n🚨**The problem:**\n\nModern labs live between hardware, software, and complex protocols. Manual steps slow them down. Data gets siloed. Errors creep in.\n\nTake an example of a high throughput lab tracking plate movements.\n\nHigh throughput plate movements refers to the challenge of verifying and tracking the large volume of rapid, automated operations occurring in laboratory environments. When plates are moved frequently and at scale, it becomes difficult to maintain a consistently accurate record of each transaction, ensure none are missed or duplicated, and verify that every action is valid for downstream lab and data processes.\n\n💡**The solution:**\n\nhttps://www.youtube.com/watch?v=osUdOo5COJQ\n\nScispot webhooks (offered by GLUE Robo) are essential in this context because they capture real-time, reliable updates for every eligible system call from the robot to Scispot. This enables seamless integration, error-catching, and audibility across platforms, ensuring data integrity and full traceability as throughput increases. Here are the key highlights of Glue Robo:\n\n* **Event‑Driven Automation.** GLUE Robo listens for lab events—plate movement, data capture, file drops, status changes—and reacts instantly.\n* **Instrument‑Agnostic.** Works with leading robots and instruments (e.g., Automata, Hamilton, and more). Connect once. Scale as you add hardware.\n* **No‑Code Workflows.** Build rules that match protocols, QC gates, or regulatory steps. Reconfigure as methods evolve.\n* **Auditable by Default.** Every action is logged. You get traceability, reproducibility, and peace of mind.\n* **Built for Throughput.** Designed to keep pace with overnight screens and multi‑run genomics pipelines.\n\n⚡**Impact:**\\\nScispot provides high throughput labs with real-time data synchronization, automation, and auditability for operations, ensuring accurate tracking and seamless integration across lab systems.\n\n**🤝 Our Ask:**\n\nWe’re looking to connect with high throughput labs who currently leverage one or all of the following at scale:\n\n* Automata LINQ\n* Hamilton STAR\n* qPCR systems\n* Plate readers\n\nScispot provides webhooks to seamlessly capture events from such systems so you can connect your computational workflows with wet lab.\n\n![uploaded image](/media/?type=post&id=95334&key=user_uploads/697526/5a103264-9e5d-46d5-992e-697f2b67b700)\n\n",
        "url": "https://www.ycombinator.com/launches/One-glue-robo-lab-automation-layer-for-robots-instruments",
        "votes": 24,
        "created_at": "2025-11-11T14:56:11.717Z"
      },
      {
        "id": 85309,
        "title": "Plato - Scispot's multi-well plate agent",
        "tagline": "Connect your plate readers, Tecan, Hamilton using Scispot’s AI agent.",
        "body": "Scispot is launching the world’s first agent for multi-well plates called Plato.\n\n**Plato has the wisdom of plate automation not philosophy.**\n\nA multi-well plate is basically a lab tool with multiple tiny \"wells\" or slots in one single tray. Each well can hold a separate sample, letting you run lots of tests at once—ideal for experiments like drug screening or diagnostics. It’s like having a mini grid of test tubes all in one place, so you can work faster and more efficiently.\n\n**Plato is the agent that helps wet lab scientists design, load, integrate and run their multi-well plates using natural language.** It understands the input and output from various plate readers such as **BMG Clariostar** for your assays. It also seamlessly integrates with **Tecan** and **Hamilton** for dilution.\n\nWhile designing your experiments, scientists can use Plato to create controls— standards for their assays— using AI.\n\n![uploaded image](/media/?type=post&id=85309&key=user_uploads/697526/7c482e2c-a2a5-4cb1-b775-4f670c58c10c)\n\n### **Problem**\n\nA wet lab scientist typically follows the journey of\n\n* Designing a plate in excel\n* Enter sample details such as IDs, concentration, standards and controls\n* Prepare samples in plate according to layout and execute experiment\n* Get the readings\n* Add the raw data back to their ELN or LIMS system\n* Cross-check data for errors and manually correct if needed\n\nThis process is not only time consuming, but labor intensive and leaves room for a lot of errors. It also doesn’t create a complete chain of custody for your plate data. You end up compromising your data integrity.\n\n**In a high throughput lab you cannot follow this process for 100s of plates!**\n\n![uploaded image](/media/?type=post&id=85309&key=user_uploads/697526/e90e3342-c5e5-4eb7-b5bb-ad4ce911a5ab)\n\n### **Solution**\n\nWith Scispot’s AI-powered Plato, the process finally shifts to where it should be: automated. Plate configurations happen at the click of a button, data flows directly into Scispot (ELN/LIMS), and error-checking is automatic. The time saved here isn’t just convenient; it maintains the complete chain of custody. You can also create plates in bulk using Plato while automating the logistics of moving, and transferring data.\n\nOnce you have this data in one place called Scispot Labsheets (Scispot data lake), you can then easily run regression or analytics.\n\nAs a result, you save a LOT of time while being compliant with 21 CFR Part 11 compliance controls.\n\n<https://youtu.be/4Y009dnwg8Q>\n\n### **Our Ask**\n\n* If you run a Biotech lab, join us for the official launch of Plato this Thursday, 7th November 2024. More details here: <https://lu.ma/uj7djz2b?tk=i4NxSp>\n* If you are a YC bio company, you get Plato for free along with 50% off on your first year with Scispot YC deal - <https://www.scispot.com/yc-offer>",
        "url": "https://www.ycombinator.com/launches/MBx-plato-scispot-s-multi-well-plate-agent",
        "votes": 32,
        "created_at": "2024-11-05T23:22:50.545Z"
      },
      {
        "id": 81624,
        "title": "🧪+🤖 Scibot - AI lab assistant to accelerate your biotech R&D",
        "tagline": "Use natural language to design experiments, get at-the-bench assistance, search, discover, and analyze data.",
        "body": "**tl;dr:** Introducing Scibot, your AI Lab Assistant that supercharges biotech R&D. Simplify experiment design, get real-time insights, and streamline data management—all with natural language commands.\n\n---\n\n### Problems Scientists Face:\n\n* Managing and integrating vast amounts of structured and unstructured lab data.\n* Spending too much time on repetitive data entry and analysis tasks.\n* Needing quick, reliable assistance while conducting experiments at the bench.\n* Difficulty in visualizing complex data relationships and generating actionable insights.\n\nDisconnected lab data is stored across disparate systems, and it is super hard to make it AI-ready.\n\n### Solution: Scibot\n\n**Scibot - Your AI Lab Assistant to Accelerate Biotech R&D**\n\nFour years ago, we launched Scispot, the first ELN + LIMS alternative—a modern data lake that integrates both structured data (experiment metadata, instrument results) and unstructured data (lab notes, protocol deviations). Our goal: create the ultimate Lab Operating System (LOS) for biotech companies.\n\nNow, we’re taking it a step further with Scibot. Leveraging generative AI trained on scientific data and workflows, Scibot enhances your lab operations by:\n\n**1\\. Create Your Unified R&D Data Model Using Labsheets:** Standardize your data model based on workflows and data types. Labsheets link entities through relationships, making it easy to manage and visualize data. For instance:\n\n* Create a Labsheet to store and visualize LCMS data.\n* Manage cell line stocks with an inventory Labsheet.\n* Convert your notebook entries into structured data\n\n**2\\. Talk to Your Data:** Interact with your data using natural language. Ask Scibot to summarize key findings or perform complex analyses with simple commands. For example:\n\n* \"Summarize the key findings from samples submitted by customer ABC Biotech”\n* \"Display the heat map for ADME data to identify the best hit molecules based on solubility and permeability.\"\n* \"Summarize the key ADME properties of the top-performing compounds from my recent experiments.\"\n\n![uploaded image](/media/?type=post&id=81624&key=user_uploads/697526/025c395c-f3ab-43bc-9570-f452b571307c)\n\n**3\\. Get At-the-Bench Assistance:** Scibot offers one-click support for capturing protocol deviations, checking inventory status, tracking samples, and performing calculations—all while your hands and eyes are busy with experiments.\n\n**4\\. Generate Real-Time Insights:** Get actionable insights to optimize experiments. Ask Scibot for recommendations based on historical data or to identify trends and patterns. For example:\n\n* \"What are the recommended parameters for improving the yield in my protein expression experiments?\"\n* \"Show trends in gene expression levels from my RNA-seq data over the past six months.\"\n\n![uploaded image](/media/?type=post&id=81624&key=user_uploads/697526/4704f337-e098-41af-9770-eb831e984f45)\n\nThe real-time insights can be saved as “widgets” so you can create your own dashboard.\n\n![uploaded image](/media/?type=post&id=81624&key=user_uploads/697526/c50fd70a-dcc7-40ac-8d2f-380f39193255)\n\n**5\\. Convert Your Google Sheets, Excel, PDFs, and Docs to Notebook Entries and Registries:** Scibot integrates various data formats into your ELN and LIMS, converting data from Google Sheets, Excel files, PDFs, and Word documents into Labsheets. This centralizes and streamlines data management.\n\n![uploaded image](/media/?type=post&id=81624&key=user_uploads/697526/9f113306-0449-4812-b577-4d937ac7105f)\n\n**6\\. Maintain your security and privacy while using Scispot AI (Scibot)**\n\n* Customer data never leaves your Scispot instance.\n* We do not train any models on customer data.\n* Scispot AI upholds all enterprise-grade security and compliance requirements while fulfilling SOC 2 and HIPAA controls.\n* Customers can choose to switch off Scispot AI functionalities in their account if they prefer not to use them.\n\n### Ask:\n\n* Join our launch event today - <https://lu.ma/1r5afh0e>\n* We’d love to chat if you use any ELN or LIMS system or want to explore new ELN or LIMS for your lab! Reach out at [team@scispot.io](mailto:team@scispot.io) or book a demo directly [here](https://www.scispot.com/demo).\n* We’d also appreciate sharing our launch and following us on [LinkedIn](https://www.linkedin.com/company/scispot-com).",
        "url": "https://www.ycombinator.com/launches/LEW-scibot-ai-lab-assistant-to-accelerate-your-biotech-r-d",
        "votes": 39,
        "created_at": "2024-06-20T14:35:52.031Z"
      },
      {
        "id": 74769,
        "title": "🚀 Scispot's Lab-as-Code solution: Turn your biotech into an AI powerhouse",
        "tagline": "Think of it as Zapier + Snowflake of biotech",
        "body": "Hello YC Community,\n\nWe're thrilled to introduce [**Scispot’s Lab-as-Code solution**](https://www.scispot.com/), the best data infrastructure for biotech. Think of it as the Zapier + Snowflake of biotech.\n\n🔗 **Three Pillars of Scispot** 🔗\n\n1️⃣ **Self-Serve Integrations**\n\n* **Problem**: Labs struggle with integrating data from platforms and lab instruments, causing inefficiencies.\n* **Solution**: Integrate with Benchling, Snowflake, LabVantage, Veeva, and lab instruments.\n* **Real Example**: A client integrated Snowflake, Benchling, and mass spectrometer data, cutting data prep time by 50%.\n\n![uploaded image](/media/?type=post&id=74769&key=user_uploads/453596/078d26ca-a01d-4978-ac6d-0b6af72167d9)\n\n2️⃣ **Data Readiness for AI**\n\n* **Problem**: Raw data is messy, hindering effective AI applications.\n* **Solution**: Staging lakehouse with embedded Jupyter Notebook and R Studio for data cleaning and transformation.\n* **Real Example**: A client standardized genomic data, boosting predictive model accuracy by 20%.\n\n![uploaded image](/media/?type=post&id=74769&key=user_uploads/453596/2f23ec82-b0aa-48d7-8af7-b9429f9200e0)\n\n3️⃣ **API-First ELN & LIMS**\n\n* **Problem**: Traditional ELN and LIMS don't meet modern computational demands.\n* **Solution**: Our [API-First](https://docs.scispot.com/) ELN & LIMS add-on is designed for computational teams.\n* **Real Example**: A genomics lab automated 80% of workflows using our add-on.\n\n![uploaded image](/media/?type=post&id=74769&key=user_uploads/453596/151f63ab-ea24-4fcc-86e0-a47f07719880)\n\nJoin us in revolutionizing biotech with AI. Let's make science faster, smarter, and more efficient. \\\n\\\nYou can **book a free consultation call **[**here**](https://www.scispot.com/demo)**.**",
        "url": "https://www.ycombinator.com/launches/JRx-scispot-s-lab-as-code-solution-turn-your-biotech-into-an-ai-powerhouse",
        "votes": 57,
        "created_at": "2023-09-11T22:33:50.203Z"
      },
      {
        "id": 70891,
        "title": "Scispot GLUE - Stitch your biotech R&D data",
        "tagline": "Say goodbye to data graveyards and hello to faster R&D progress with GLUE!",
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        "tagline": "Build, operate and track money movements of any size and shape on a solid and open-source system-of-record (ledger)",
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        "title": "Indy: AI support tool for ADHD",
        "tagline": "AI support system that helps with ADHD, not just your to-do list",
        "body": "tl;dr: _After supporting adults with ADHD across 80,000+ coaching sessions, we kept seeing the same gap: people gain clarity about what matters, but struggle to hold onto it in everyday life. Indy is a free, AI-powered ADHD support app designed to help people stay oriented to what matters and translate that clarity into daily action, without relying on productivity pressure or generic AI advice._\n\n_—_\n\nHi YC family! 👋\n\nWe’re Chris & Vikram, and we’re building Shimmer. Our mission is for every individual with ADHD to reach their full potential, their way. Shimmer began after I (Chris) was diagnosed with ADHD and struggled to access affordable, high-quality behavioral support. Since then, we’ve grown into the #1 ADHD coaching platform recommended by clinicians across North America.\n\nAs large language models became viable, we saw a clear opportunity. ADHD isn’t a problem of knowledge, it’s a problem of continuity. Insight is available, but support disappears between moments. AI, for the first time, makes it possible to provide consistent, personalized scaffolding in the flow of daily life.\n\nThat opportunity is what led us to build Indy.\n\n### **❌ The Challenge**\n\nAcross tens of thousands of ADHD coaching sessions, one pattern shows up again and again.\n\nBreakthroughs don’t fail because people forget what they learned. They fail because daily life takes over.\n\nPeople leave a session with clarity about what matters and where they want to go. Then the week happens. Context shifts. Energy fluctuates. Emotions spike. Urgency crowds out direction.\n\nFor ADHDers, this breakdown is predictable:\n\n1. **🧠 Executive function is state-dependent**: What feels obvious in one moment is inaccessible in another. Memory, motivation, and prioritization fluctuate with energy and emotion.\n2. **🕳 The future fades quickly**: When goals are not emotionally present, the present always wins. ADHD brains respond to what feels salient now.\n3. **⏳ Support is episodic and constrained by human capacity**: Coaching, therapy, etc. work primarily during sessions, but disappear when real decisions are being made.\n\nExisting tools don’t address this well. General AI gives answers. Productivity apps manage tasks. Neither maintains orientation or adapts as conditions change.\n\n### **✨ The AI Opportunity**\n\nAI changes what’s possible here.\n\nFor the first time, software can:\n\n* Hold personal context over time\n* Reflect patterns back to users\n* Adapt support based on energy, emotion, and behavior\n* Provide lightweight scaffolding between human interactions\n\nThis is especially powerful for ADHD, where the problem isn’t knowing what to do, but staying connected to why and when to do it.\n\n### **✨ The Solution**\n\nIndy is a daily AI-powered ADHD support system designed to help people stay oriented to what matters and translate that clarity into everyday action.\n\n![uploaded image](/media/?type=post&id=96820&key=user_uploads/608519/4f19593d-f653-4231-9af2-dec8ee54418c)\n\nHere’s how it works:\n\n1. **Future mapping**: Users map key moments from their past, present, and future to anchor what they care about and where they’re headed.\n\n   ![uploaded image](/media/?type=post&id=96820&key=user_uploads/608519/ca3c694c-2405-4ab4-a880-4248696f0539)\n\n2. **Daily and weekly check-ins**: Indy helps users set lightweight intentions, anticipate obstacles, and reflect without pressure.\n\n   ![uploaded image](/media/?type=post&id=96820&key=user_uploads/608519/01183d22-d2fc-4650-a66e-74ae3a1d3886)\n\n3. **Insights over time**: Indy turns check-ins into pattern visibility. Users start to see what drains them, what helps, where momentum shows up, and what keeps derailing progress, so they can adjust earlier.\n\n   ![uploaded image](/media/?type=post&id=96820&key=user_uploads/608519/00ed985f-2290-48c7-9c15-9ae24d10e742)\n\n4. **Problem-solving when stuck**: When friction shows up, Indy uses science-backed frameworks to help users identify what’s actually blocking progress and choose a small next step.\n\n   ![uploaded image](/media/?type=post&id=96820&key=user_uploads/608519/9faff07a-2505-4abb-9067-17aee2dbc862)\n\n5. **Progress made visible**: Wins, effort, and insights are tracked so progress doesn’t disappear just because it wasn’t perfect.\n\n   ![uploaded image](/media/?type=post&id=96820&key=user_uploads/608519/7bbaa3f4-f6a9-4c49-9161-cdd848e8de8a)\n\n\nAI gives us a chance to rethink how behavioral support works for ADHD. Indy is our first step toward making that support continuous, accessible, and humane. Check out Indy to see it in practice! And [here](https://www.shimmer.care/blog/indy-app-for-adhd-wellbeing) is the full blog post!\n\n**🙏 Asks**\n\n* Try **Indy** for free: [**https://www.shimmer.care/indy-redirect**](https://www.shimmer.care/indy-redirect)",
        "url": "https://www.ycombinator.com/launches/PBc-indy-ai-support-tool-for-adhd",
        "votes": 12,
        "created_at": "2026-01-15T08:57:37.592Z"
      },
      {
        "id": 87083,
        "title": "Shimmer 2.0: AI-assisted ADHD Coaching",
        "tagline": "The #1 ADHD Coaching Platform is now AI-enhanced",
        "body": "tl;dr: _After facilitating over 45,000 1:1 ADHD Coaching sessions, we’ve designed Shimmer 2.0, a suite of AI features to support the coaching journey. This isn’t another chatbot or copilot, it’s a suite of embedded AI tools that amplifies the human connection between member & coach—helping members get more out of sessions and between sessions._\n\n—\n\n---\n\nHi YC family! 👋\n\nWe’re Chris & Vikram, and we’re building [Shimmer](http://www.shimmer.care). Our mission is for every individual with ADHD to reach their full potential, _their way_. Shimmer ADHD Coaching was born in 2022 after I (Chris) was diagnosed with ADHD and was frustrated with the lack of affordable, quality behavioral coaching solutions. Since then, we’ve grown tremendously, building the #1 ADHD Coaching Platform recommended by HCPs, therapists, and psychiatrists across North America.\n\n<https://www.youtube.com/watch?v=kHXzu0JYVtg&t=1s>\n\n### **❌ The Challenge**\n\nAt Shimmer, we’ve run over 45,000 ADHD coaching sessions. Each session is packed with “aha” moments—but as soon as they’re over, life pulls you in a million directions and those insights slip away. To add to this, the week is often lost from lack of accountability and members come into sessions scrambling to remember the past week. Overall, for people with ADHD, it’s hard to _consistently_ hold onto what you learn, recognize bigger patterns, or stay on track day to day. Why?\n\n1. 🚧 **Our working memory challenges makes it hard to remember sessions**. Even the best breakthroughs vanish without a simple way to capture and revisit them.\n2. 👹 **We’re focused on the present & don’t always see the bigger picture (or future)**. Without a clear record, it’s tough to connect recurring themes or measure real progress.\n3. 🍬 **We lose momentum between sessions**. A coach can’t be there 24/7—and ADHD brains need constant nudges to stay motivated.\n\n### **✨ The Solution**\n\n![uploaded image](/media/?type=post&id=87083&key=user_uploads/608519/53f337be-252d-4135-9f36-9b78d22d1d5b)\n\n**Shimmer 2.0** is our new AI-powered “second brain,” doing what ADHD brains were never designed to do. Shimmer 2.0 automatically captures and organizes all your coaching insights, so you can finally spot the patterns, stay accountable, and turn each breakthrough into real-world action—even when your coach isn’t around. Here’s a bit on how it works:\n\n1. **AI-Powered Session Summaries:** Shimmer 2.0’s AI automatically recaps each session’s main points and action items, so you can easily revisit breakthroughs without piecing together scattered notes.\n\n   ![uploaded image](/media/?type=post&id=87083&key=user_uploads/608519/57f4600f-1280-4249-842b-1ee892aaa488)\n\n2. **Action Insights & Progress Tracking:** Visually map out your weekly actions, highlight patterns, and keep yourself accountable.\n\n   ![uploaded image](/media/?type=post&id=87083&key=user_uploads/608519/367d604b-cd7d-465d-ae02-9fef4addd3fa)\n\n3. **History (Second Brain):** View your entire journey in one place & instantly look up specific topics from past sessions and spot recurring themes at a glance.\n\n   ![uploaded image](/media/?type=post&id=87083&key=user_uploads/608519/ac9d5072-a251-4a37-8c1e-ae4dc05890ae)\n\n4. **Smart Search:** Lastly, my personal favorite—Ask your “second brain” the hard questions, like: “What strategies have worked for me?”, “What did my coach say about procrastination?”, “What should I be proud of”?\n\n   ![uploaded image](/media/?type=post&id=87083&key=user_uploads/608519/af1c2807-67a0-4141-922f-e2dc168185fa)\n\n\nCheck out how Shimmer 2.0 weaves **AI** into your everyday coaching experience, amplifying the power of expert human coaching.\n\n### **🙏 ASKS**\n\n* Try Shimmer (or share w/ a friend), start with an ADHD coach [here](http://www.shimmer.care/). 25% off your first month (e-mail [chris@shimmer.care](mailto:chris@shimmer.care) if you want a founder-focused coach)\n* Read [our full blog post](https://www.shimmer.care/blog/adhd-coaching-2-ai-launch) and support [our Product Hunt Launch](https://www.producthunt.com/posts/shimmer-2-0)",
        "url": "https://www.ycombinator.com/launches/MeZ-shimmer-2-0-ai-assisted-adhd-coaching",
        "votes": 12,
        "created_at": "2025-01-23T16:31:30.051Z"
      },
      {
        "id": 83793,
        "title": "✨ Shimmer Body Doubling - Get things done, the ADHD way",
        "tagline": "The #1 ADHD Coaching Platform now offers Body Doubling",
        "body": "tl;dr: _After facilitating over 31,000 1:1 ADHD Coaching sessions, Shimmer members have access to the first multi-player community feature on the Platform—Body Doubling! Shimmer’s Body Doubling experience takes the popular ADHD co-working strategy and infuses the 6 ADHD motivators to help our members get more things done, the ADHD way._\n\n---\n\nHi YC family! 👋\n\nWe’re Chris & Vikram, and we’re building [**Shimmer**](http://www.shimmer.care/). Our mission is for every individual with ADHD to reach their full potential, _their way_. Shimmer ADHD Coaching was born in 2022 after I (Chris) was diagnosed with ADHD and was frustrated with the lack of affordable, quality behavioral coaching solutions. Since then, we’ve grown tremendously, building the #1 ADHD Coaching Platform recommended by HCPs, therapists, and psychiatrists across North America.\n\n### **❌ The Challenge**\n\nBody doubling is a popular strategy for people with ADHD (it works for neurotypical people too!) to get things done. It’s basically when you work in the presence of others, and the mere existence of them gives you positive accountability to get it done. It comes in many forms, and can even look like you doing laundry while chatting with your boyfriend while he cooks.\n\nThe challenge for people with ADHD, is that they don’t do these things consistently. Why?\n\n1. 🚧 **There’s too many hurdles**. They need to coordinate with people, it’s inconsistent, and people are unreliable\n2. 👹 **They’re ashamed**. Many body doubling apps exist already, but people with ADHD feel ashamed needing this tool just for their laundry, or to cook, or to do something else that seems mundane. Imagine showing up to a session and you can barely brush your teeth, and the other person says “I’m going to finish emailing back 10 investors on closing my round and launch our new podcast to Spotify”\n3. 🍬 **There’s not enough dopamine**. Isn’t this always the challenge with ADHD?! Whatever solution is out there, it’s not built to motivate ADHD brains.\n\n### **✨ The Solution**\n\n![uploaded image](/media/?type=post&id=83793&key=user_uploads/608519/dd6ff9c4-77bc-4531-9e74-ef8e34bf9129)\n\nShimmer Body Doubling (only available to Shimmer coaching members) is an ADHD-adapted Body Doubling experience that harnesses the power of the 6 ADHD motivators—interest, urgency, newness, accountability, challenge, and community, to help people with ADHD get things done.\n\n1. Before kicking off ADHD Body Doubling sessions, check-in with your feelings & connect with those of others.\n\n   ![uploaded image](/media/?type=post&id=83793&key=user_uploads/608519/ba3ef126-616c-448d-817e-a8b7359131a1)\n\n2. Commit to discrete tasks to stay accountable and get dopamine from checking things off!\n\n   ![uploaded image](/media/?type=post&id=83793&key=user_uploads/608519/8dd2a99e-920e-47bc-adeb-71c8a80adc5a)\n\n3. Get inspired by other people’s tasks and progress. Motivation is contagious!\n\n   ![uploaded image](/media/?type=post&id=83793&key=user_uploads/608519/b3e57121-c5dc-46d8-9759-2ec7f5a59743)\n\n4. Visualize time passing (key for ADHD brains!) and beat the clock\n\n   ![uploaded image](/media/?type=post&id=83793&key=user_uploads/608519/d5776eb8-0d96-44cc-bc73-d74d8c75ebce)\n\n5. Learn something new in the 5 min break as each ADHD Coach brings their own flare\n\n   ![uploaded image](/media/?type=post&id=83793&key=user_uploads/608519/879d8e04-3b90-4cfe-bc46-2c17eed45d0f)\n\n6. If you have a challenge or problem, your community and an expert ADHD coach will be there to help you out!\n\n   ![uploaded image](/media/?type=post&id=83793&key=user_uploads/608519/d4270fef-5134-488c-b32d-e8febd7c71a8)\n\n\n### **🙏 Asks**\n\n* Try Shimmer (or share w/ a friend), start with an ADHD coach [**here**](http://www.shimmer.care/). 25% off your first month (e-mail [**chris@shimmer.care**](mailto:chris@shimmer.care) if you want a founder-focused coach)\n* We’re on [PH today](https://shimmer.care/bodydoublinglaunch) (Thu Sep 5) if you want to head over there to support 👀",
        "url": "https://www.ycombinator.com/launches/LnV-shimmer-body-doubling-get-things-done-the-adhd-way",
        "votes": 15,
        "created_at": "2024-09-05T18:37:37.628Z"
      },
      {
        "id": 73989,
        "title": "✨ Shimmer - 1:1 ADHD coaching that’s 5-10X more affordable than alternatives",
        "tagline": "The #1 ADHD Coaching Platform is now cross-platform!",
        "body": "tl;dr: _After serving 1,200+ clients since mobile launch 9 mo. ago, Shimmer Members can finally access their Coaching Journey across devices. Now members access our sleek ADHD-adapted flows to manage their ADHD and reach their full potential._\n\n\\-\n\n---\n\nWe’re Chris & Vikram, and we’re building [Shimmer](http://www.shimmer.care). Our mission is for every individual with ADHD to reach their full potential, _their way_. Shimmer ADHD Coaching was born last year after I (Chris) was diagnosed with ADHD and was frustrated with the lack of affordable, quality behavioral coaching solutions. Since then, we’ve grown tremendously, building the #1 ADHD Coaching Platform recommended by HCPs, therapists, and psychiatrists across North America.\n\n### **❌ The Challenge**\n\nAfter working closely with 1,200+ adults with ADHD, 25+ expert ADHD coaches, and top ADHD experts, we watched first-hand the challenges ADHD-ers have in reaching their best life:\n\n1. **🔭 Direction**: Not setting behavioral goals or having a “vision” future state in mind\n2. **🪓 Action**: Not making actions (consistently) that are actually in line with their goals\n3. **🤿 Depth**: Picking up and dropping productivity apps that don’t help them get to their core issue.\n\n### **✨ The Solution**\n\nThe Shimmer Web App (in conjunction with the mobile app) is the guiding tissue between our members and their full potential. Facilitated by their expert ADHD coach, members:\n\n1. Set vision and assess starting state with our Shimmer Mastery Assessment\n\n   ![uploaded image](/media/?type=post&id=73989&key=user_uploads/608519/2e0e2f4a-3966-4c47-988f-9e1fab064c81)\n\n2. Set goals right with the goal setting wizard\n\n   ![uploaded image](/media/?type=post&id=73989&key=user_uploads/608519/69b99e89-dd47-46b6-86c6-48efc8af6ac0)\n\n3. Complete actions, reflect, and celebrate\n\n   ![uploaded image](/media/?type=post&id=73989&key=user_uploads/608519/5ebd35c5-7748-48b2-87c9-841aeb16ffdb)\n\n4. Get coach support and stay accountable through shared task lists\n\n   ![uploaded image](/media/?type=post&id=73989&key=user_uploads/608519/6c506b71-0f24-453e-bde2-2230d86719ea)\n\n5. Continue learning\n\n   ![uploaded image](/media/?type=post&id=73989&key=user_uploads/608519/6405db79-0833-4f21-9bd5-037de348df00)\n\n\n### **🙏 Asks**\n\n* Try Shimmer (or share w/ a friend), start with an ADHD coach [here](http://www.shimmer.care/) and give us feedback! 30% off your first month\n\nCurious to learn more? Read our [**full blog post**](https://www.shimmer.care/blog/web-launch-adhd-coaching) and our [**Product Hunt launch**](https://www.producthunt.com/posts/shimmer-web-app)",
        "url": "https://www.ycombinator.com/launches/JFN-shimmer-1-1-adhd-coaching-that-s-5-10x-more-affordable-than-alternatives",
        "votes": 21,
        "created_at": "2023-08-10T02:16:38.837Z"
      },
      {
        "id": 66665,
        "title": "✨ Shimmer: 1:1 ADHD Coaching | 5-10X more affordable than alternatives",
        "tagline": "Meet Shimmer, your new trusted partner in your ADHD journey",
        "body": "**tl;dr:** We match individuals with **expert ADHD coaches for 1:1 coaching** at a price never offered before.\n\nHi YC family! 👋 We’re Chris & Vikram, and we’re building [Shimmer](http://www.shimmer.care). Our mission is for every individual with ADHD to reach their full potential, _their way_.\n\n**❌ The Problem**\n\nADHD is a neurodevelopmental condition that affects 5% of adults (13M in US), but most are still struggling to get their symptoms in check.\n\n* **It’s not a lack of knowledge, it’s action**: People with ADHD know to make a list, they just don’t do it. We need practice, experimentation, and accountability.\n* **Good behavioral interventions price most people out:** Quality ADHD coaching costs $300-600+/mo. This prices out, well, the people who need it most.\n* **The process is cumbersome & not fit for ADHD**: I’ve been there (Chris): dozens of consultation calls, not knowing what to ask, dated technology, confusing e-mail chains, scared to pull the trigger, the list goes on.\n\n**✨ Our Solution**\n\nShimmer is a platform that connects expert ADHD coaches with members, facilitates weekly calls, and offers accountability and support via our iOS & Android apps. By truncating or “chunking” the sessions, offering asynchronous tools & resources, and streamlining coaches’ back-end tasks, we offer coaching at 5-10X more affordable than alternatives.\n\n**⚙️ How it works**\n\n1. **Join Shimmer**—Members start with an intake form that helps kick off their personalized journey. This helps the coach choose 1 of our 3 science-backed tracks to go down.\n\n   ![uploaded image](/media/?type=post&id=66665&key=user_uploads/608519/e7fbca25-1704-4a84-82b0-76385ed12955)\n\n2. **Meet your coach**—Members meet weekly (for 15- or 45-min meetings) over video or audio to review progress, unpack topics, and set goals for the upcoming week.\n\n   ![uploaded image](/media/?type=post&id=66665&key=user_uploads/608519/4f638136-5381-46f7-8b50-3df1e27fdbb3)\n\n3. **Weekly actionable plans**—The real work happens between sessions. Members are laser-focused on the few tasks they’ve chosen for the week. The coach & app provides accountability & support throughout.\n\n   ![uploaded image](/media/?type=post&id=66665&key=user_uploads/608519/1df8635b-896d-48c3-a5d0-4ce5d9d2934d)\n\n\n**🙏 Asks**\n\n* Try Shimmer, start with an ADHD coach [here](http://www.shimmer.care). 40% off your first month.\n* Not ready yet? [Join our newsletter](http://www.shimmer.care) by October 21st for [10 days of freebies](https://www.shimmer.care/blog/10-ways-to-shimmer-intro) from our launch partners: ADDA, [Flow Club](https://www.flow.club/home-flow-club) ([S21](https://bookface.ycombinator.com/company/23972)), [Joon](https://www.joonapp.io/) ([W22](https://bookface.ycombinator.com/company/25907)), [Ruth Health](https://ruthhealth.com/) ([S21](https://bookface.ycombinator.com/company/24669)), [Zen](https://www.yayzen.com/) ([S21](https://bookface.ycombinator.com/company/24160)), [Agape](https://www.getdailyagape.com/) ([S21](https://bookface.ycombinator.com/company/23845)) and more!",
        "url": "https://www.ycombinator.com/launches/HLF-shimmer-1-1-adhd-coaching-5-10x-more-affordable-than-alternatives",
        "votes": 18,
        "created_at": "2022-10-12T16:01:48.849Z"
      }
    ]
  },
  {
    "id": 24407,
    "name": "Stardex",
    "slug": "stardex",
    "former_names": [
      "Dots",
      "Wharf"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/cd7356f24d69fa13135ed28c88da1003ba785b9f.png",
    "website": "https://www.stardex.com",
    "all_locations": "New York City, NY, USA",
    "long_description": "Stardex is an AI native ATS and CRM executive firms and professional recruiting firms. We are AI first designed specifically for modern recruiting firms. It has a powerful client collaboration feature that helps you execute searches faster with clients. It also streamlines your searches by automating repetitive tasks, allowing you to dedicate more time to building meaningful relationships.﻿",
    "one_liner": "AI native ATS + CRM for executive search firms",
    "team_size": 7,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1627928818,
    "tags": [
      "SaaS",
      "Productivity"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2021",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/stardex",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2021/stardex.json",
    "year_founded": 2021,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/stardexhq",
    "x_url": "https://twitter.com/stardexhq",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/cd7356f24d69fa13135ed28c88da1003ba785b9f.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": null,
    "founders": [
      {
        "user_id": 74037,
        "full_name": "Sanket Chauhan",
        "title": "Founder",
        "founder_bio": "Building the best vertical agent for recruiters - Stardex is the agentic ATS / CRM for executive search firms. \n\nPrev: digital product strategy @ McKinsey. Studied Electrical engineering @ USC and spent some time working on a dental analytics startup\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/sanketchauhan",
        "x_url": "https://twitter.com/sanketchauhan",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0b64dd6fc111c659de33377b889804054352977b.jpg"
      },
      {
        "user_id": 461511,
        "full_name": "Pranav Badami",
        "title": "Founder",
        "founder_bio": "Full-stack software engineer that likes to build fast. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/pranavbadami/",
        "x_url": "https://twitter.com/pranav_badami",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6168fc4496f8bf05d75edc65cd8688e6ef3e47c9.jpg"
      }
    ],
    "jobs": [
      {
        "id": 76236,
        "title": "Full Stack Engineer",
        "url": "https://www.ycombinator.com/companies/stardex/jobs/4oOXnyY-full-stack-engineer",
        "location": "CO / AR / CL / IN / MX / PE / PL / Remote (CO; AR; CL; IN; MX; PE; PL)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$30K - $50K",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Node.js",
          "React",
          "TypeScript"
        ]
      },
      {
        "id": 90487,
        "title": "Customer Success Engineer (AI & Data Migration)",
        "url": "https://www.ycombinator.com/companies/stardex/jobs/lag1C1P-customer-success-engineer-ai-data-migration",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$45K - $75K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 90537,
        "title": "Forward Deploy Engineer (FDE)",
        "url": "https://www.ycombinator.com/companies/stardex/jobs/MHHdoC9-forward-deploy-engineer-fde",
        "location": "CA / US / GB / PT / FR / DE / CH / Amsterdam, NH, NL / Amsterdam, North Holland, NL / Remote (CA; US; GB; PT; FR; DE; CH; Amsterdam, NH, NL; Amsterdam, North Holland, NL)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Data science",
        "salary_range": "$60K - $90K",
        "equity_range": "0.10% - 0.75%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
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        "url": "https://www.geoweeknews.com/sponsored/mach9-unveils-an-ai-assisted-workflow-focused-on-trust-and-control-at-scale",
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        "url": "https://www.geoweeknews.com/news/tech-reality-capture-mach9-launches-new-geospatial-software-platform-aimed-at-infrastructure-space?utm_source=social&utm_medium=linkedin&utm_campaign=5msocial",
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        "tagline": "We help infrastructure survey and engineering teams turn raw point cloud data into engineering-ready CAD/GIS deliverables up to 100x faster.",
        "body": "Hi everyone! \n\nWe’re [Alex](https://www.linkedin.com/in/alexbaikovitz/), [Zach](https://www.linkedin.com/in/zachsussman/), [Haowen](https://www.linkedin.com/in/haowensh/), and [Michael ](https://www.linkedin.com/in/mmong/)- co-founders of [Mach9](https://mach9.ai/). \n\n**📍TLDR**: \n\nMach9's Digital Surveyor 2 is a geospatial platform that turns LiDAR point clouds into engineering-ready deliverables up to 100x faster. Its AI-powered extraction engine identifies and extracts linear features — including curbs, pavement edges, guardrails, and barriers — and learns from each user's edits to improve accuracy over time.\n\nSurvey and engineering teams at Langan, Olsson, HDR, Woolpert, Michael Baker International, and major utilities and state DOTs already use it in production.\n\nCheck out our Digital Surveyor 2 Launch Video:\n\n[**https://youtu.be/XoISK5nx87E?si=mzcrxg5uI3hynSm2**](https://youtu.be/XoISK5nx87E?si=mzcrxg5uI3hynSm2)\n\n**❌ The Problem**\n\nEvery road, bridge, fiber network, and utility corridor project starts with a survey. Increasingly, that survey is done with LiDAR scans encompassing millions of points.\n\n**But here's the thing**: Collecting data isn't the hard part anymore, turning it into engineering ready deliverables is. Today, that work is being done manually. Skilled technicians sit in front of a screen and trace features one by one across potentially thousands of features. Paint lines, curbs, poles, signs, guardrails. Mile after mile.\n\n**As a result**: Firms turn down work they could win, deadlines slip, and the most expensive bottleneck of the workflow is the part that hasn't changed in 20 years.\n\n**✅ Our Solution**\n\nDigital Surveyor 2 is a web-based CAD application where AI works alongside drafters to extract features from point cloud data dramatically faster — without sacrificing the precision their clients require.\n\nHere's what makes it different:\n\n🔹 **AI that drafts with you**. \n\nThe feature extraction engine in Digital Surveyor 2 suggests linear features, such as curbs, pavement edges, guardrails, and barriers directly from LiDAR point clouds — and adapts to the user’s drawing patterns. As users draw, the software picks up on their patterns and refines its suggestions in real time.\n\n![uploaded image](/media/?type=post&id=99241&key=user_uploads/311199/ca66f2e8-267b-4693-83ec-81b92eabb558)\n\n🔹 **Field-to-finish in one environment**. \n\nIngest point cloud data from any system such as RIEGL, Trimble, or Leica scanners. Extract features with AI-assisted workflows and precision tools. Easily QA everything in 3D. Export directly into AutoCAD, MicroStation, or ESRI. No switching between tools. No preprocessing pipeline.\n\n🔹 **Built for the people who do this work**. \n\nDS2 was designed so that a surveyor who knows where points go in the field can be productive on day one. Surveyors, field techs, and project managers can easily be working in it with minimal ramp time or CAD expertise.\n\n![uploaded image](/media/?type=post&id=99241&key=user_uploads/311199/e5e82676-f1fd-4bcd-bd86-fcca46636e29)\n\n🙏 **Our Ask**\n\n* **👉 Follow us** — Stay up to date with what we're building. Follow Mach9 on[ ](https://www.linkedin.com/company/mach9)[LinkedIn](https://www.linkedin.com/company/mach9geo).\n* **🔗 Intro us** — Know someone at a electric / telecom utility, data center owner, DOT, or survey/engineering firm that works with LiDAR or mobile mapping data? A warm intro goes a long way. We're especially looking to connect with survey and engineering leaders, mobile mapping teams, CAD/GIS technicians, and geospatial production leads.\n* **🚀 Try it yourself** — If your team is turning point clouds into deliverables today, we'd love to show you what DS2 can do. [Get started here](http://mach9.ai/get-started?utm_source=YC&utm_medium=article&utm_campaign=launch_post).\n* 💼 **We're hiring** — We're building engineering software to transform the $3 trillion global infrastructure industry. If you want to work on hard problems at the intersection of AI, geospatial, and computer graphics, we're scaling across GTM, engineering, and operations. Check out our open roles [here](https://jobs.ashbyhq.com/mach9).\n\n![uploaded image](/media/?type=post&id=99241&key=user_uploads/311199/d7592b72-f824-4cf8-9921-48b5b14674fc)\n\n",
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        "body": "### **TLDR**\n\nIt usually takes less than 20 minutes to build your first internal tool with Noloco, without writing a line of code. We’d love to help other startups improve their internal tooling while freeing up their developer resources. Try Noloco today and check out our YC Deal for the current batch and alumni.\n\n* [Sign up](https://portals.noloco.io/register?utm_source=yc&utm_medium=forum&utm_campaign=launch)\n* [YC Deal](https://bookface.ycombinator.com/deals/1610)\n* [Guides](https://guides.noloco.io/?utm_source=yc&utm_medium=forum&utm_campaign=launch)\n* [Video Tutorials](https://noloco.io/video-tutorials?utm_source=yc&utm_medium=forum&utm_campaign=launch)\n\n![uploaded image](/media/?type=post&id=68486&key=user_uploads/567509/236105a3-2bbd-4c56-be5a-5d37f5edd08e)\n\n### **🤔 What’s the problem?**\n\nMany of us have experienced the pains of internal tooling in startups and scale-ups. From a management point of view, engineering resources dedicated to internal tooling are wasted as they should be focusing on customer-facing products. For developers, it’s a chore to work on unloved parts of the codebase that aren’t a priority for the business. And for other stakeholders in Product, Ops and Support, there’s never enough capacity to build the tools they desperately need, while the ones they have are slow, cluttered and the UX is often poor. \n\n### **🙌 How does Noloco help?**\n\n[Noloco](https://noloco.io?utm_source=bookface&utm_medium=forum&utm_campaign=postgres) is the no-code platform for teams to instantly create internal tools from databases like PostgreSQL, MySQL, Airtable & Google Sheets.\n\nOnce you connect your data source (e.g. PostgreSQL), Noloco automatically builds an app for you from your chosen tables including collection views (e.g. tables and kanban boards), record pages to view individual records and forms to add new records.\n\nNoloco provides a totally no-code builder. This genuinely makes building and configuring internal tools 10x faster. With our no-code first approach, Noloco also removes the reliance on engineers whenever your Ops, Customer Support, Product or Sales team want to make any changes or add new tools.\n\n![uploaded image](/media/?type=post&id=68486&key=user_uploads/567509/8fb689b6-3b51-4d51-8691-67e67803b002)\n\n### **🛠️ What can I build with Noloco?**\n\nCustomers around the world have built hundreds of internal tools with Noloco for a variety of use cases, including:\n\n* Internal tool for your customer support team to update customer plans\n* CRM to keep customer info up to date and trigger automated workflows\n* Dashboards to monitor product usage, sign-ups and converted customers\n* Project management tool for your Ops team \n\n### **⏰ Build your first internal tool in 20 minutes**\n\nMost customers find that they can build a functional, useful tool for their teammates to view or update data in their database within 20 minutes. This is because Noloco does so much of the work for you in building the basic structure and pages of your app. \n\nIf you’d like to try building internal tools for your team without writing a line of code, you can [sign up here](https://portals.noloco.io/register?utm_source=yc&utm_medium=forum&utm_campaign=launch).\n\nWe also have lots of useful resources to help you:\n\n* [Guides](https://guides.noloco.io/?utm_source=yc&utm_medium=forum&utm_campaign=launch)\n* [Video Tutorials](https://noloco.io/video-tutorials?utm_source=yc&utm_medium=forum&utm_campaign=launch) \n\n### **💸 YC Deal**\n\nWe’ve published our first YC Deal - see [redemption instructions](https://bookface.ycombinator.com/deals/1610) here.\n\nCurrent batch:\n\n* Free during the batch\n* 50% off all paid plans for your first 6 months after the batch\n\nAlumni:\n\n* 50% off all paid plans for your first 6 months \n\n### **🙏 Asks**\n\n[Sign up](https://portals.noloco.io/register?utm_source=yc&utm_medium=forum&utm_campaign=launch) and see how quickly you can build internal tools for your team with Noloco.",
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      {
        "title": "\n    Jobs program for the formerly incarcerated seeks to address U.S. trucking industry shortage - CBS News",
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        "title": "Program gives incarcerated people CDL training in Massachusetts",
        "url": "https://www.bostonglobe.com/2025/01/08/business/emerge-career-jail-cdl-jobs-driving-trucks/",
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        "title": "Emerging From Incarceration: The Future Of Reentry",
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      },
      {
        "title": "Emerge Career's pre-release job training lands $3.2M seed and new state contracts • TechCrunch",
        "url": "https://techcrunch.com/2022/11/04/emerge-careers-pre-release-job-training-lands-3-2m-seed-and-new-state-contracts/",
        "date": "Nov 04, 2022"
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    "id": 25075,
    "name": "Attack Capital",
    "slug": "attack-capital",
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      "Attack Capital",
      "SNR Audio",
      "Swades AI",
      "Joinarena",
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        "title": "🔒 Strac Zendesk Redactor",
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        "body": "Hi YC!\n\nI'm [**Aatish**](https://www.linkedin.com/in/aatishmandelecha/) and today we're excited to launch **Strac’s Zendesk Redactor!**\n\n## **Problem 😠**\n\nCustomers post sensitive personal information (PII or PHI) on zendesk tickets for a given business function. Some of the burning reasons on why your Zendesk account needs to be protected:\n\n* **Data Leaks:** All organizations are subject to security attacks. Zendesk is also not immune. In 2016 Zendesk was subject to a [data breach exposing 10,000 Zendesk accounts](https://support.zendesk.com/hc/en-us/articles/4408824583578-Updated-FAQ-regarding-2016-Security-Incident-) where sensitive PII (Personally Identifiable Information) was accessed.\n* **Insider Attacks:** Between 2018 and 2020, there was a [47% increase in insider threat incidents](https://www.tessian.com/blog/insider-threat-statistics/). This includes malicious data exfiltration and accidental data loss.‍\n* **Compliance:** Every day government legislation is passing Consumer Privacy laws geared to protect consumer data from malicious entities. California and Illinois have been the latest to introduce these laws, including a Biometric Information Privacy Act. For many organizations, data can be spread across a wide range of systems, which can be challenging to keep up with Privacy law enactments. It is a nightmare for companies to do manual cleanup of those sensitive messages sitting within your employee's zendesk account as deep inspection is time consuming and error-prone. At the same time, you need to stay compliant and prevent exfiltration of sensitive data.\n\n## **Solution** 🚀\n\nStrac Zendesk App is a Data Loss Prevention (DLP) software. It masks (aka redacts) sensitive comments and attachments while still giving the opportunity to authorized users to view those zendesk tickets in Strac UI Vault. A business can configure a list of sensitive data elements (SSN, DoB, DL, Passport, CC#, Debit Card, API Keys, etc.) to redact. Compliance, Risk and Security officers will get audit reports of who accessed what messages.\n\nBelow is a sample list of sensitive data elements that will be detected & redacted:\n\n* PII: Name, Address, Email, Phone, DoB, Age, Gender, Ethnicity, etc.\n* Identification: Drivers License, Passport, SSN (Social Security Number), etc.\n* Payments: Credit Card, Debit Card, Bank Account, Routing Numbers, etc.\n* Credentials: API Keys, Passwords, Passphrases etc.\n* Crypto Secrets: Bitcoin, Ethereum, Litecoin Addresses, etc.\n* PHI: PII data, Medical Record Number (MRN), Medical Notes, etc.\n* Physical Network: IP Addresses, MAC Address, etc.\n* Custom: Create your own rules or use regex\n\nPlease checkout our demo: <https://youtu.be/pto-VdAsCTs>\n\n### **YC Offer 🎉**\n\n1. FREE Redaction for your entire Zendesk account\n2. Book a Demo on our website: <https://strac.io> ",
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        "salary_range": "$150K - $300K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 75777,
        "title": "Applied Research Engineer",
        "url": "https://www.ycombinator.com/companies/sieve/jobs/epe3f1w-applied-research-engineer",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $300K",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
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        "id": 81029,
        "title": "Software Engineer",
        "url": "https://www.ycombinator.com/companies/sieve/jobs/8viV0w4-software-engineer",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $300K",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
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        "title": "Product & Ops Lead ",
        "url": "https://www.ycombinator.com/companies/sieve/jobs/QO2KXMO-product-ops-lead",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$130K - $250K",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
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        "id": 89312,
        "title": "Product Engineer",
        "url": "https://www.ycombinator.com/companies/sieve/jobs/R7esADT-product-engineer",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $300K",
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        "experience": "1+ years",
        "visa": "US citizen/visa only",
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        "id": 89313,
        "title": "Recruiting",
        "url": "https://www.ycombinator.com/companies/sieve/jobs/4vb50L5-recruiting",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Recruiting & HR",
        "role_type": "Recruiter",
        "salary_range": "$120K - $200K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
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        "id": 89736,
        "title": "Reliability Engineer",
        "url": "https://www.ycombinator.com/companies/sieve/jobs/2mp3sT5-reliability-engineer",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $300K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 91896,
        "title": "Data Operations Lead",
        "url": "https://www.ycombinator.com/companies/sieve/jobs/gpArec4-data-operations-lead",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$130K - $250K",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
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    "news": [
      {
        "title": "Sieve's Video AI API Beta and ~$4M Raise | Sieve Blog - Video AI | Sieve",
        "url": "https://www.sievedata.com/blog/launch",
        "date": "Nov 14, 2022"
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  },
  {
    "id": 25315,
    "name": "Rebill",
    "slug": "rebill",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ac317d3596d742abd3e551f40119a6ba9a7f3d40.png",
    "website": "https://www.rebill.com",
    "all_locations": "Buenos Aires, CABA, Argentina",
    "long_description": "Rebill is the financial infrastructure platform for the Americas.\r\n\r\nThe companies shaping software, AI, travel, and digital services use Rebill to operate across Brazil, Mexico, Argentina, Colombia, Chile, and the United States.\r\n\r\nRebill brings local payments, installments, recurring billing, stablecoin rails, treasury, global payouts, and financial operations into one platform built for how money actually works across the Americas.\r\n\r\nEvery market is different. Rebill makes the infrastructure consistent. Engineering, finance, and operations teams can manage local currency acceptance, market-specific payment behavior, funds, and financial workflows from the same platform.\r\n\r\nCompanies can launch in Latin America in as little as a day and expand across markets without rebuilding their financial stack country by country.\r\n\r\nBuilt locally. Designed to scale globally.",
    "one_liner": "Financial infrastructure for the Americas",
    "team_size": 11,
    "industry": "Fintech",
    "subindustry": "Fintech -> Payments",
    "launched_at": 1645553649,
    "tags": [
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      "SaaS",
      "Payments",
      "B2B",
      "Subscriptions"
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2022",
    "status": "Active",
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    "regions": [
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      "Latin America",
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      "Partly Remote"
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    "stage": "Early",
    "app_video_public": false,
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    "question_answers": [
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        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "Rebill started from a clear problem: companies wanted to sell in Latin America, but payments were too fragmented to scale efficiently. Approval rates were weak, local methods were missing, subscriptions were hard to manage, and every country required a different setup.\r\n\r\nWe began by solving that pain directly, helping merchants collect more effectively across the region. As we went deeper, it became obvious that the real gap was not just billing software, but infrastructure. Companies needed a single platform that could abstract away local complexity and let them operate across markets with speed.\r\n\r\nThat is how Rebill evolved from solving recurring payments into building payments infrastructure."
      },
      {
        "question": "How did you decide to apply to Y Combinator? What was your experience applying, going through the batch, and fundraising at demo day?",
        "answer": "We applied to YC because we were building in a category with a much bigger opportunity than people usually assumed. We did not want to build a regional tool. We wanted to build infrastructure with global relevance.\r\n\r\nYC helped us sharpen the story, move faster, and think much more clearly about category, ambition, and execution. It pushed us to simplify the message and focus on what truly mattered.\r\n\r\nThe batch and Demo Day helped us position Rebill as a company solving a fundamental infrastructure problem, starting with LATAM and expanding beyond it."
      },
      {
        "question": "How have you kept in touch with the YC community and continued to use YC resources & programs since the batch ended?",
        "answer": "We stay active in the YC community through Bookface, founder relationships, and ongoing use of YC resources across fundraising, hiring, product, and tactical problem solving.\r\n\r\nWhat continues to matter most is access to founders who are building with intensity and clarity. YC remains part of our operating environment, not just part of our history."
      },
      {
        "question": "What's the history of your company from getting started until the present day? What were the big inflection points?",
        "answer": "Rebill started by addressing recurring billing and payment problems for companies operating in Latin America. Early on, we focused on helping merchants navigate subscriptions, collections, and the operational complexity of the region.\r\n\r\nThe first major inflection point was realizing that software alone was not enough. The deeper problem was payment infrastructure itself: local rails, local methods, acquiring, recovery, and settlement.\r\n\r\nThe second major inflection point came when we moved closer to the rails and began building direct infrastructure instead of depending only on third parties. That changed the economics, product depth, and strategic value of the business.\r\n\r\nToday, Rebill is building a broader payments infrastructure layer for LATAM and the US, with the long-term goal of becoming the financial infrastructure for underserved markets."
      },
      {
        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "The core problem is that companies expanding across LATAM and similar markets face fragmented payment infrastructure.\r\n\r\nThey need local methods, better conversion, subscription support, transparent settlement, and a fast path to launch, but the market is still dominated by patchwork solutions, slow enterprise processes, and country-by-country complexity.\r\n\r\nThis is a big problem because payment performance directly affects growth. Poor infrastructure means lower approval rates, less access to local demand, slower launches, and lost revenue.\r\n\r\nWe decided to work on it because we saw firsthand how large the gap was and how few companies were actually productizing a solution that developers and operators could use quickly."
      },
      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "Our long-term vision is to build the financial infrastructure layer for underserved markets.\r\n\r\nWe are starting with payments in LATAM and the US because that is where companies feel the pain most immediately: collecting money, scaling across markets, and doing it without operational chaos. Over time, we want to make entering complex markets as simple as launching in the most developed ones.\r\n\r\nIf we succeed, companies will no longer need to assemble fragmented providers, local entities, and manual workflows just to operate internationally. They will integrate once and scale across markets through infrastructure that makes difficult geographies feel simple."
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    "url": "https://www.ycombinator.com/companies/rebill",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/rebill.json",
    "year_founded": 2020,
    "city": "Buenos Aires",
    "country": "AR",
    "linkedin_url": "https://www.linkedin.com/company/rebill",
    "x_url": "https://twitter.com/rebillteam",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/rebill-inc",
    "github_url": null,
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    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
    },
    "founders": [
      {
        "user_id": 43569,
        "full_name": "Nahuel Candia",
        "title": "Founder/CEO",
        "founder_bio": "Nahuel is the Founder and CEO of Rebill, building financial infrastructure for global companies in LATAM and the US.\nHe is an MIT-recognized entrepreneur who built 3 companies before 30.\nDeveloper since 14, he remains highly hands-on across product, engineering, and execution.\nBefore Rebill, he founded Shovel Apps and was CTO of Ando.la, later acquired by Moova.",
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        "linkedin_url": "https://www.linkedin.com/in/nahuelcandia/",
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      {
        "user_id": 598544,
        "full_name": "Ariel Diaz Ailan",
        "title": "Founder",
        "founder_bio": "Building the financial infrastructure platform for the Americas at Rebill. We help global software, AI, travel, and digital services companies operate across Latin America and the US with local payments, billing, treasury, and payouts. 16 years in e-commerce, 12 in software, and 6 in fintech. Happy to compare notes on payments, financial infrastructure, and international expansion.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/diazailan",
        "x_url": "https://www.twitter.com/diazailan",
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    "jobs": [
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        "id": 109740,
        "title": "VP of Sales",
        "url": "https://www.ycombinator.com/companies/rebill/jobs/3xYpdc9-vp-of-sales",
        "location": "Miami, FL, US / Buenos Aires, Buenos Aires, AR / Bogotá, Bogota, CO / Remote",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$90K - $120K",
        "equity_range": "0.30% - 0.60%",
        "experience": "6+ years",
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      {
        "id": 109741,
        "title": "Head of Growth",
        "url": "https://www.ycombinator.com/companies/rebill/jobs/rNjIwYH-head-of-growth",
        "location": "Miami, FL, US / Buenos Aires, Buenos Aires, AR / Bogotá, Bogota, CO / Remote",
        "type": "Full-time",
        "role": "Marketing",
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        "salary_range": "$100K - $160K",
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        "experience": "3+ years",
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        "skills": []
      },
      {
        "id": 109742,
        "title": "Head of Engineering",
        "url": "https://www.ycombinator.com/companies/rebill/jobs/HOM79GY-head-of-engineering",
        "location": "Miami, FL, US / Buenos Aires, Buenos Aires, AR / Bogotá, Bogota, CO / Remote",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Engineering manager",
        "salary_range": "$120K - $180K",
        "equity_range": "0.30% - 0.50%",
        "experience": "6+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 113402,
        "title": "Head of Marketing, B2B Payments",
        "url": "https://www.ycombinator.com/companies/rebill/jobs/4zDmYmC-head-of-marketing-b2b-payments",
        "location": "Miami, FL, US / Buenos Aires, Buenos Aires, AR / Bogotá, Bogota, CO / Remote (Mexico City, CDMX, MX; Mexico City, Mexico City, MX; São Paulo, SP, BR; São Paulo, São Paulo, BR)",
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        "role_type": null,
        "salary_range": "$90K - $140K",
        "equity_range": "0.30% - 0.50%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
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    ],
    "news": [
      {
        "title": "Una startup argentina de pagos online conquistó a ejecutivos de SpaceX y cerró una nueva ronda: ya levantó u$s 9 millones",
        "url": "https://www.cronista.com/negocios/una-startup-argentina-de-pagos-online-conquisto-a-ejecutivos-de-spacex-y-cerro-una-ronda-por-us-54-millones/",
        "date": "Oct 19, 2026"
      },
      {
        "title": "Francisco León se une a Rebill como Co-Founder y Chief Strategy Officer para escalar la nueva generación de pagos en América Latina",
        "url": "https://www.latamfintech.co/articles/francisco-leon-se-une-a-rebill-como-co-founder-y-chief-strategy-officer-para-escalar-la-nueva-generacion-de-pagos-en-america-latina",
        "date": "Jul 29, 2025"
      },
      {
        "title": "Rebill.com launches 1-Click Checkout  - LatamList",
        "url": "https://latamlist.com/rebill-com-launches-1-click-checkout/",
        "date": "Mar 26, 2024"
      },
      {
        "title": "Rebill launches cross-border payment gateway - LatamList",
        "url": "https://latamlist.com/rebill-launches-cross-border-payment-gateway/",
        "date": "Dec 07, 2023"
      },
      {
        "title": "La startup latina Rebill recaudó $3.6 millones de dólares con participación de inversionista de Facebook, LinkedIn y Spotify",
        "url": "https://www.entrepreneur.com/es/finanzas/la-startup-latina-rebill-recaudo-36-millones-de-dolares/434623",
        "date": "Sep 02, 2022"
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    "id": 25316,
    "name": "Trébol",
    "slug": "trebol",
    "former_names": [
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4338ad0a706ff34d600a9fbfcb0f2e931607a17a.png",
    "website": "https://gotrebol.com/",
    "all_locations": "Bogotá, Bogota, Colombia",
    "long_description": "Trébol provides the document AI infrastructure for modern financial services - from KYB to mortgage underwriting - turning weeks of manual processing into minutes.",
    "one_liner": "Your back-office, on autopilot",
    "team_size": 14,
    "industry": "B2B",
    "subindustry": "B2B -> Finance and Accounting",
    "launched_at": 1642535849,
    "tags": [
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      "SaaS",
      "B2B",
      "Legal",
      "Enterprise"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2022",
    "status": "Active",
    "industries": [
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    "regions": [
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      "Latin America",
      "Remote",
      "Partly Remote"
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    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/trebol",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/trebol.json",
    "year_founded": 2021,
    "city": "Bogotá",
    "country": "CO",
    "linkedin_url": "https://www.linkedin.com/company/trebolhq",
    "x_url": "https://twitter.com/TrebolHQ",
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4338ad0a706ff34d600a9fbfcb0f2e931607a17a.png",
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    "primary_partner": {
      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
    },
    "founders": [
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        "user_id": 673083,
        "full_name": "Fabian Torres",
        "title": "Founder",
        "founder_bio": "Before Trébol, I led product a product team for a fintech co. I started my career in finance doing investments in Latam.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/torresfabian/",
        "x_url": "https://twitter.com/torresfabian",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/26edd760a5c29bd2e88bbe17d4efeffd06dbcedd.jpg"
      },
      {
        "user_id": 461720,
        "full_name": "Luis Sebastian Buitrago León",
        "title": "Founder",
        "founder_bio": "Early employee @Lernico, a seed-stage ed-tech company. CFO for two family-owned businesses operating in healthcare services and real estate. Managed the construction of commercial real estate of >5,000 square meters. Optimized capital structure of the business group. Revamped accounting and controlling processes. Data analyst at the largest colombian pension fund where executed capital on real estate assets from $25M to $150M+.",
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        "title": "Growth Associate",
        "url": "https://www.ycombinator.com/companies/trebol/jobs/f5ZjCU7-growth-associate",
        "location": "Bogotá, Bogota, CO / Mexico City, CDMX, MX / Mexico City, Mexico City, MX / SP, BR / State of São Paulo, BR / Medellín, Antioquia, CO / Monterrey, N.L., MX / Monterrey, Nuevo Leon, MX / Guadalajara, Jal., MX / Guadalajara, Jalisco, MX / Buenos Aires, Buenos Aires, AR / Remote (Bogotá, Bogota, CO; Mexico City, CDMX, MX; Mexico City, Mexico City, MX; SP, BR; State of São Paulo, BR; Medellín, Antioquia, CO; Monterrey, N.L., MX; Monterrey, Nuevo Leon, MX; Guadalajara, Jal., MX; Guadalajara, Jalisco, MX; Buenos Aires, Buenos Aires, AR)",
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        "salary_range": "$1.5K - $2K / monthly",
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        "experience": "3+ years",
        "visa": "US citizen/visa only",
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        "id": 83478,
        "title": "Sales Account Executive",
        "url": "https://www.ycombinator.com/companies/trebol/jobs/fYXj7T7-sales-account-executive",
        "location": "Mexico City, CDMX, MX / Mexico City, Mexico City, MX",
        "type": "Full-time",
        "role": "Sales",
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        "salary_range": "$3K - $5K / monthly",
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    "id": 25317,
    "name": "Peakflo",
    "slug": "peakflo",
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    "website": "https://peakflo.co",
    "all_locations": "Singapore, Singapore",
    "long_description": "Peakflo, with its Agentic Workflows and one-click ERP integrations, helps finance teams eliminate manual work across the entire invoice-to-cash, procure-to-pay, travel and expense reimbursement, and operations. 100+ businesses—from scale-ups to enterprises, use Peakflo each to:\r\n\r\n✅ Save 1000 man-hours/month on finance ops\r\n✅ Get paid faster on customer invoices by 15-25 days\r\n✅ Cut vendor bill payment time by 50%\r\n✅ Automate three-way matching",
    "one_liner": "Agentic workflows that automate your back‑office operations",
    "team_size": 45,
    "industry": "Fintech",
    "subindustry": "Fintech -> Payments",
    "launched_at": 1644787148,
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      "SaaS",
      "B2B"
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2022",
    "status": "Active",
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    "regions": [
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      "Southeast Asia",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/peakflo",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/peakflo.json",
    "year_founded": 2021,
    "city": "Singapore",
    "country": "SG",
    "linkedin_url": "https://www.linkedin.com/company/peakflo/",
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        "url": "https://www.ycombinator.com/companies/cozmo-ai/jobs/sgwDFZc-agent-product-manager",
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        "url": "https://www.ycombinator.com/companies/cozmo-ai/jobs/YFtovo3-applied-ml-engineer",
        "location": "New York, NY, US / Bengaluru, KA, IN / Bengaluru, Karnataka, IN / Dubai, Dubai, AE",
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        "title": "YC-backed Zywa, a neobank for Gen Z, raises $3M to expand across MENA – TechCrunch",
        "url": "https://techcrunch.com/2022/08/23/yc-backed-zywa-a-neobank-for-gen-z-raises-3m-to-expand-across-mena/",
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        "id": 98015,
        "title": "Cozmo AI: The system of work for enterprises in financial services and insurance",
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        "body": "Hey everyone, we’re [Nuha](https://www.linkedin.com/in/nuhahashem/) and [Alok](https://www.linkedin.com/in/alokhk/) from [Cozmo AI](https://cozmox.ai?utm_source=yc-launch&utm_medium=listing&utm_campaign=launch).\n\n**TL;DR** \n\nWe help banks, insurers and lenders deploy multimodal AI employees that interpret documents and videos, speak with customers in real time, think using your policies and do the work in your core systems.\n\nCheck out our [launch video](https://youtu.be/IGypdMioyIo).\n\n**❌ The problem**\n\nIf you’ve ever seen how a real customer operation gets handled inside a large company, you’ll notice the conversation is usually the shortest part. Most of the time goes into opening 6-10 tools, finding history, checking documents, verifying details and recording what happened afterwards.\n\nWe ran into such issues while building a fintech product and spending months embedded with support and operations teams. 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They talk to customers, read documents, interpret videos, apply company policies and update systems like Guidewire, Temenos and Salesforce, pulling humans into the loop only when real judgment or escalation is needed.\n\nEvery decision the AI employee makes is logged, including its reasoning and policy reference, providing a complete audit trail for compliance and operations without additional manual effort. This is managed by our proprietary Agent Protocol Engine (APE), the control layer that keeps shared context, enforces policy and ensures every step is tracked for regulated industries.\n\nCozmo is live with 10+ enterprises, including Fortune Global 500s like Nestlé, and has already handled over 1M production calls and 10M interactions; cutting costs by up to 70% and turning roughly 1 in 13 conversations into revenue.\n\n[Watch Cozmo in action.](https://youtu.be/ek8eE1bXOnU)\n\n**🧬 What’s unique about Cozmo**\n\nMost AI tools are just prompt trees with a UI. They’re fine for neat, repetitive tasks; but they fall apart the moment operations get messy, ending in half‑filled tickets, off‑script collection calls and disputes scattered across systems.\n\nCozmo is built for that mess:\n\n* **Multimodal by default:** One platform to spin up AI employees that handle inbound and outbound calls, read PDFs and scanned forms, understand video and talk to customers in a single, continuous flow.\n* **Runs on intent, not prompts:** You give it responsibilities and policies like a new hire, instead of maintaining endless prompt chains. As new case patterns appear, the AI employee adapts behavior without you rewriting a graph of scripts.\n* **APE-powered coordination:** A single Cozmo “employee” is actually a coordinated team of agents, driven by our Agent Protocol Engine (APE), running an internal loop: planning, delegating, checking and rechecking across systems until the case is closed, not just until a workflow box is ticked.\n\nSo instead of a scripted bot, you get something that behaves much closer to a high‑performing operations hire: it keeps context, chases down loose ends and keeps pushing the work forward without you needing to orchestrate every move.\n\n**🚀 Our story**\n\nNuha and Alok have been friends for over 11 years. We scaled a regulated fintech together in Dubai, navigating one of the most demanding regulatory environments in the world. When the regulations and market changed, we were forced to shut it down. We built AI employees to manage the fintech ourselves on cockroach mode, handling communications and documentation across every affected account. \n\nThat system worked, and when a partner saw it, they asked to buy it instead. So we moved from Dubai to San Francisco to build Cozmo. \n\nThree years, two countries, 180 pivot, and we’re still going.\n\n![uploaded image](/media/?type=post&id=98015&key=user_uploads/714894/4501b459-03fa-4135-9389-d407946bd5ec)\n\n 🎯 **Our Ask**\n\nWe’re onboarding new enterprise customers in financial services and insurance. 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        "full_name": "Moran Snir",
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        "founder_bio": "I'm dedicated to increasing access to genetic information. My previous company Clear Genetics was acquired NVTA in 2019, where I led the Software and Data organization. I also founded MorNetware, which developed Genometer a software that screens 90% of Israeli pregnancies for ethnic-based carrier screening since 2005. I was an officer in the IDF Elite software unit and studied Biomedical Engineering for my BA M.Sc. I have an MBA from the Wharton Business School and am a 2-time Y Combinator Alum.",
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        "full_name": "Guy Snir",
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        "linkedin_url": "https://www.linkedin.com/in/guysnir",
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        "full_name": "David Chew",
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        "url": "https://www.ycombinator.com/companies/axross-pte-ltd/jobs/EKMxfZA-data-scientist",
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    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "Gym Class is a social platform where you can play games, make friends, and create and share your own experiences. Join a community of millions across virtual reality and mobile.",
    "one_liner": "Connecting the world by simulating it",
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    "industry": "Consumer",
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        "full_name": "Thomas Mazimann",
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      {
        "id": 76274,
        "title": "TeamOut | The offsite revolution for small groups",
        "tagline": "Book everything for your offsite in one place",
        "body": "**TL;DR** \n\nTeamOut's latest update makes it easy for teams under 20 people to plan a team offsite. Choose among a selection of thousands of villas and hotels, add food, activities, and transportation in one click. Don’t delay your next offsite; make it happen today.\n\n![uploaded image](/media/?type=post&id=76274&key=user_uploads/707520/27bfaff0-7165-436e-8b54-630a0605f1b5)\n\n**Problem**\n\nAll team offsites require the same ingredients: accommodation, food, activity, and transportation. Unfortunately, today no platform exists to do everything in one place, and you end up spending hours looking for an affordable house or a hotel close to the airport. Then you have to make 50 phone calls to find a good catering company, activity, and so on. You're basically reinventing the wheel every single time, and as a result, your team is not meeting enough.\n\n\\\n**Solution**\n\n* Thousands of houses and hotels close to airports, curated for team offsites.\n* Food, activity, and transportation options available for each venue.\n* A team of dedicated trip designers to help you find the perfect match for your team.\n* Optional event planning services to put your planning on autopilot and remove the stress of planning an event.\n* Tools and resources to manage RSVPs, suggest team-building activities, icebreakers, and templated itineraries.\n* A solution used by companies like Netflix, Brex, Kayak, Cloudflare, and more\n\nExplore our selection of properties [here.](https://app.teamout.com/ai?utm_source=YC) \n\n![uploaded image](/media/?type=post&id=76274&key=user_uploads/707520/49190e59-8ada-482e-8a56-545b9e052361)\n\n\\\n**Backstory:**\n\nBefore getting into YC, we had spent hours planning offsites for our previous companies and realized how complex the search for a venue and the planning process were. \\\n\\\nSince then, we have talked to thousands of startups and companies from YC who expressed the same feeling: the process of planning an offsite is complex because the current supply of vendors is fragmented and not curated specifically for remote-first companies spread out across the country. \\\n\\\nWe figured there had to be a better way.\\\n\\\n**Interested?**\n\n![uploaded image](/media/?type=post&id=76274&key=user_uploads/707520/963dd510-37ac-4996-8654-b924e7bcf5dd)\n\nSpecial launch offer: get 33% off our event planning services for your first event with the code YC33.\\\n\\\nIf you’d like to give [TeamOut a shot,](https://app.teamout.com/ai?utm_source=YC) book a call with us. We’ll personally walk you through our catalog of properties and help you find the perfect accommodation and package for your team.\n\nOffsites start at $900 per person. \\\n\\\nWe’re also live on [Product Hunt](https://www.producthunt.com/posts/teamout-for-small-groups) today if you want to show some love 🥳",
        "url": "https://www.ycombinator.com/launches/JqE-teamout-the-offsite-revolution-for-small-groups",
        "votes": 11,
        "created_at": "2023-11-16T15:51:12.475Z"
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      {
        "id": 70601,
        "title": "TeamOut 🏝, the retreat planning platform",
        "tagline": "Meet TeamOut, where retreat planning becomes a walk in the park.",
        "body": "### 🌎 TL;DR\n\nTeamOut is the go-to platform for hassle-free offsite team planning. Explore thousands of curated retreat venues and vendors, receive personalized recommendations, gather quotes, and access exclusive deals – all in one place.\n\nSave hundreds of hours on research and negotiation with TeamOut's venue sourcing plan, available for free. Make offsite planning a breeze with TeamOut!\n\nHi everyone! We're Thomas and Vincent, co-founders of TeamOut. ⛷ 🛶\n\n![uploaded image](/media/?type=post&id=70601&key=user_uploads/707520/16736d39-f752-4d1a-be11-c46165c55697)\n\n### 🤔 Why are we the right ones to work on this?\n\n[Thomas](https://www.linkedin.com/in/thomas-mazimann), a former professional kayaker, has spent his life designing unforgettable experiences and adventures that bring people together. He was an early employee at Voxeet, contributing to their acquisition by (NYSE: DOLBY).\n\n[Vincent](https://www.linkedin.com/in/vincent-albouy-71132a92/), a former professional ski athlete and software engineer, has traveled to 50 countries and built large-scale applications for startups ([Vant.ai](http://Vant.ai)) and enterprise employers (IBM).\n\n### ❌ What's the problem?\n\n![uploaded image](/media/?type=post&id=70601&key=user_uploads/707520/7da530d7-45b8-432b-9836-83ca8901beab)\n\nPlanning team offsites is often a headache. Finding the perfect location for distributed teams, vetting vendors, collecting quotes, and organizing the event can be a full-time job.\n\n### 👨🏼‍💻 What have we built?\n\n[Watch our demo!](https://www.youtube.com/watch?v=8H5x0MwO8mU&ab_channel=TeamOut)\n\nTeamOut streamlines offsite planning by offering a single platform to explore thousands of retreat properties, collect quotes, create travel itineraries with activities and transportation, and manage essential event tasks.\n\n### 👋 Asks:\n\nAre you planning an offsite for your team (15+ people) or know someone who is? Feel free to reach out to us at [**founders@teamout.com**](mailto:founders@teamout.com) or book a meeting with us [here](https://calendly.com/teamout/teamout-intro-call-yc). We'd love to connect and help you plan more effective offsites with ease.",
        "url": "https://www.ycombinator.com/launches/IMj-teamout-the-retreat-planning-platform",
        "votes": 29,
        "created_at": "2023-03-28T22:28:41.581Z"
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        "linkedin_url": "https://www.linkedin.com/in/vaikkunth/",
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        "id": 90407,
        "title": "ML Research Scientist Intern – Dynamo Guard / Dynamo Eval / AgentWarden",
        "url": "https://www.ycombinator.com/companies/dynamo-ai/jobs/fM78FTT-ml-research-scientist-intern-dynamo-guard-dynamo-eval-agentwarden",
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        "id": 90418,
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        "id": 98725,
        "title": "Product Analyst",
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        "body": "TL;DR: Happl saves you time and money all whilst managing all of your people engagement and recognition initiatives. For leaders, we handle flexible benefits, allowances, insurance, and manager-to-employee gifting, all whilst ensuring you’re staying compliant. For employees, we use benefits as communities within your existing stack to engage, as well as understand them on a personal and inclusive level through interests and goals.\n\n![uploaded image](/media/?type=post&id=67761&key=user_uploads/401900/adb698a0-abe5-447b-a433-7efa64ed283e)\n\n**🤯 The problem**\n\nEmployees are not offered personal and inclusive benefits that have an impact, resulting in poor uptake, whilst often founders aren’t sure how to engage their global teams effectively.\n\nCompanies often roll out company-wide benefits such as a meditation app, or learning platform, in the hope that it’s going to magnificently fix their engagement and retention problems. We hate to break it to you, but that isn’t cutting it.\n\n**Our solution? Flip traditional benefits on their head ⬇️**\n\n* Flexible spend allowances, with controls and international support\n* A marketplace fo recommendations and discounts of quality over quantity\n* Community benefits, connect over shared benefits within slack\n* Personal and inclusive employee profiles for impactful recommendations\n* Manager engagement budgets with prompts and reminders for employee gifting\n\n![uploaded image](/media/?type=post&id=67761&key=user_uploads/401900/e2d3eb7b-274d-433d-8e17-b3c4c4d9dc14)\n\n**Who’s it for? 🌍**\n\nWe know what it’s like firsthand to scale a company with the weight of ensuring your team is engaged, and it’s not easy. Many of our users, who we like to call Happling’s (we’re working on that) have employees in many regions and simply want to consolidate their benefit allowance and roll it out with ease. Others want to make sure they’re getting the best prices and save money through benchmarking.\n\nWe support start-ups from 5 employees or more, all the way through to more mature companies with thousands of employees like Google, NatWest Bank, The Metropolitan Police, and more.\n\n![uploaded image](/media/?type=post&id=67761&key=user_uploads/401900/68a6073b-3a03-4904-931c-1b839f8f041c)\n\n**How it works 💡**\n\nWe handle everything from the get-go, with a speedy onboarding process through connecting with your HRIS and Accounting software. Rolling out spend allowances or manager expense cards is as simple as choosing an amount. We automatically detect multiple locations and convert the allowances so it’s fair for all employees.\n\nEmployees can sign up with SSO and curate a profile that's personal and inclusive to them. We can share this information with managers prior to gifting or organising a team event to engage.\n\n![uploaded image](/media/?type=post&id=67761&key=user_uploads/401900/91d47b14-2cea-4925-8b3e-8cf5127451c0)\n\n**How to get on it 🖥️**\n\nTake advantage of our YC Deal email me at [ben@happl.com](mailto:ben@happl.com)\n\n![uploaded image](/media/?type=post&id=67761&key=user_uploads/401900/07b30ce0-15a9-4a7e-badc-30b4dbfead31)\n\n",
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    "long_description": "Auto parts retailers get product data from hundreds of manufacturers that is inaccurate and inconsistent, often with big gaps in key values. They currently have a team of \"catalog managers\" who are required to process and enhance this data line by line, resulting in a week to months long lag between receiving product data and actually being able to start generating revenue from those products. \r\n\r\nVersable leverages AI to scan the web for tens of millions of auto parts listings, and uses a fine-tuned LLM with RAG to instantly process, enhance, and transform data. With just a part number, Versable is able to generate market-ready titles, product descriptions, and specs, in any format that's needed. ",
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        "id": 90121,
        "title": "Versable - Generate your auto parts catalog with AI",
        "tagline": "Designed for complexity, built for scale",
        "body": "Hi everyone! I’m [Christina](https://www.linkedin.com/in/christinaseong/), founder of [Versable](https://versableai.com/).\n\nVersable uses AI fix sparse and messy catalogs in high-value, high pain legacy industries. Our first focus is the $500B auto aftermarket.\n\n### 🧩 **The problem: bad product data costs sales and is hard to fix**\n\n* Bad product data leads to **lost sales, slow time to market, and high return rates**, especially in the aftermarket where accuracy is critical.\n* Most aftermarket catalogs were built decades ago and are not designed for modern digital demands. Product data lives in silos, lacks standardization, and requires deep domain expertise to classify correctly.\n* Today, teams of catalog managers manually onboard, audit, and update product content for millions of SKUs, causing **weeks of delay before a part can start generating sales**.\n\n---\n\n### 🔧 **Why Versable solves this 10x better than status quo**\n\n* Versable is the **only tool built specifically to accommodate the technical complexity and massive scale required in industrial and aftermarket applications**. We use context aware and domain specific AI to automatically clean, standardize, and enrich product data with precision.\n\n![uploaded image](/media/?type=post&id=90121&key=user_uploads/581453/4c8ca459-6498-484b-a2a2-dbe5855e41f5)\n\n* With just a part number, Versable generates market-ready titles, product descriptions, and specs in any required format. This means our customers are able to sell more, faster, and across more platforms than ever before.\n\n![uploaded image](/media/?type=post&id=90121&key=user_uploads/581453/b8baa292-22ab-4890-afad-8799b1ce1b5b)\n\n### **🙏** **Our Ask**\n\nWe’d love any intros to anyone managing ecommerce data at scale, especially\n\n1. Sellers managing industrial products like auto parts\n2. Sellers managing multiple marketplaces and platforms (eBay, Walmart, Amazon, etc.)\n3. Service providers supporting these sellers (PIM systems/ecommerce syndicators, etc.)\n\nShoot me an email at [tina@versable.ai](mailto:tina@versable.ai)!",
        "url": "https://www.ycombinator.com/launches/NRZ-versable-generate-your-auto-parts-catalog-with-ai",
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        "title": "Versable - AI-powered product data enhancement for the auto parts space",
        "tagline": "🚀 Supercharge your product data to help you sell more, faster.",
        "body": "Hi everyone! My name is [Christina](https://www.linkedin.com/in/christinaseong/), and I’m building [Versable](https://www.versable.ai/). We use AI to help auto parts manufacturers, retailers, and distributors generate market-ready product listings at scale.\n\n**The data problem in auto parts**\n\nAuto parts retailers get product data from hundreds of manufacturers, often riddled with inaccuracies, inconsistencies, and missing key values. This forces companies today to manually process and enhance this data line by line, causing a weeks to months long lag between receiving product data and actually being able to start generating revenue from those products.\n\nThis bottleneck means companies are slower to market and unable to onboard new products at the scale they want. Manufacturers also face challenges with data requirements, which limits their ability to sell across multiple retailers or even consider listing their own products on online marketplaces like Amazon or eBay, which have even stricter platform-specific content guidelines.\n\n**How Versable solves this 10x better than the status quo**\n\nVersable leverages AI to scan the web for tens of millions of auto parts listings and uses a fine-tuned LLM with RAG to instantly process, enhance, and transform product data. With just a part number, Versable generates market-ready titles, product descriptions, and specs in any required format. This means our customers are able to sell more, faster, and across more platforms than ever before.\n\nBy incorporating brand-specific voices and relevant SEO keywords, Versable ensures that in a market filled with near-perfectly competitive products, our customers can come out on top.\n\n![uploaded image](/media/?type=post&id=82840&key=user_uploads/581453/07aaedb4-ceef-4c5d-a8a5-270ac0c5e65e)\n\n**Our Ask**\n\n1. Connect us with companies dealing with auto parts (distributors, manufacturers, retailers)\n2. Reach out if you work with any e-commerce product data at scale! Always looking to connect with founders building other cool tools in the space. [tina@versable.ai](mailto:tina@versable.ai)\n3. Follow us on [LinkedIn](https://www.linkedin.com/company/versableai)!\n\n# ",
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    "country": "US",
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      },
      {
        "id": 99577,
        "title": "Applied AI Research Engineer",
        "url": "https://www.ycombinator.com/companies/beam/jobs/AQyjV6c-applied-ai-research-engineer",
        "location": "New York, NY, US / San Francisco, CA, US / Remote (US)",
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        "skills": [
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      },
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        "id": 113699,
        "title": "Chief of Staff",
        "url": "https://www.ycombinator.com/companies/beam/jobs/RZW9Xu8-chief-of-staff",
        "location": "New York, NY, US",
        "type": "Full-time",
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        "salary_range": "$90K - $140K",
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        "id": 114260,
        "title": "GPU Cluster Infrastructure Engineer",
        "url": "https://www.ycombinator.com/companies/beam/jobs/tK37WS7-gpu-cluster-infrastructure-engineer",
        "location": "New York, NY, US / San Francisco, CA, US / Remote (US)",
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        "title": "Product Engineer",
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        "location": "New York, NY, US",
        "type": "Full-time",
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        "role_type": "Full stack",
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        "id": 116405,
        "title": "Head of Compute Operations",
        "url": "https://www.ycombinator.com/companies/beam/jobs/qwLlBWJ-head-of-compute-operations",
        "location": "New York, NY, US",
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        "id": 117101,
        "title": "Compute Trader",
        "url": "https://www.ycombinator.com/companies/beam/jobs/V4JS1as-compute-trader",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
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    "news": [
      {
        "title": "Slai makes intelligent choices around machine learning setups for developers – TechCrunch",
        "url": "https://techcrunch.com/2022/05/10/slai-seed-round/",
        "date": "May 10, 2022"
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    "launches": [
      {
        "id": 95756,
        "title": "Beam - Open Source Modal Alternative",
        "tagline": "Run GPU inference, background jobs, and sandboxes with ultrafast boot times and no vendor lock-in.",
        "body": "**Hey all!**\n\n**We’re [Eli](https://www.linkedin.com/in/mernit/) and [Luke](https://www.linkedin.com/in/luke-lombardi-2165968b/) – co-founders of [Beam](https://beam.cloud).** \n\n**TL;DR**\n\n[Beam](https://beam.cloud) is an open source alternative to Modal for running AI apps. Coca Cola, Magellan AI, Shippabo, and Stratum use Beam for serverless inference, sandboxes, and background jobs. We're 100% open source and self-hostable.\n\nhttps://www.youtube.com/watch?v=Itu_jCnyfJc\n\n**The Problem**\n\nIf you're building an AI product, you need a fast serverless platform to run your code, whether that's GPU inference, background jobs, or sandboxes for agents. \n\nExisting cloud platforms either lock you in (Modal) or aren't optimized for serverless AI workloads (Lambda, SageMaker, Kubernetes). Various sandbox providers exist (e2b, Daytona) but don’t support a full range of AI compute workloads.\n\n**Our Solution** \n\nBeam is your all-in-one serverless cloud for AI applications. You can run inference endpoints, background jobs, sandboxes, and more – all with a simple decorator in your Python or Typescript code. There’s no YAML and no configuration required. \n\nhttps://youtu.be/UxQ9O8pVVKk\n\nThis is possible thanks to a custom container runtime and distributed storage layer we built to run large container images with low cold start. We provide the security and isolation with gVisor, and build and launch new container images lightning fast.\n\nSome of the features we support include:\n\n* Fast image builds\n* GPU support\n* Memory/file system snapshotting\n* GPU checkpoint restore (stop and resume sandboxes while preserving running processes)\n* File system operations\n* Run long sessions that last over 24h\n* Open source and self-hostable\n\n **The Team**\n\nEli and Luke were college roommates and have been building products together pretty much since then.\n\nBefore starting Beam, Eli and Luke frequently attended hackathons and built a serverless framework to quickly ship web apps onto the cloud. When they started tinkering with AI, they realized that no serverless framework existed to make it easy to deploy AI models on the cloud. They decided to build it.\n\n![uploaded image](/media/?type=post&id=95756&key=user_uploads/313369/0bd4a323-556b-441a-ac00-7c61bf0c69c7)\n\n**Our Ask**\n\n* Try Beam here: [beam.cloud](http://beam.cloud)\n* Star us on Github: https://github.com/beam-cloud/beta9\n\nIf this post resonated with you, we’d love to connect: [founders@beam.cloud](mailto:founders@beam.cloud)",
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        "created_at": "2025-11-25T16:15:38.074Z"
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        "full_name": "Milad Malek",
        "title": "Founder",
        "founder_bio": "I'm a co-founder at Dart helping to build the most intelligent project management tool.\n\nPreviously I studied physics at Stanford. After that I was an investor at Plug and Play Ventures where I led ventures activities in the Smart Cities vertical focused on energy and sustainability. I also worked with major corporations on their innovation strategies, and I helped to launch various international offices.",
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        "linkedin_url": "https://www.linkedin.com/in/miladmalek/",
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        "user_id": 850776,
        "full_name": "Zack Swafford",
        "title": "Technical Cofounder",
        "founder_bio": "I'm a cofounder at Dart, which is the ultimate agent and work management tool!\n\nBefore Dart I was at Stanford, then Plenty. As the first engineer there I laid the groundwork for our full stack application suite, data pipelines, and ML and CV models. We grew very quickly so I hired out a full team, building and managing an org of dozens of engineers, product managers, and others.\n\nWould love to chat about Dart (which typically saves teams about a third of their PM time) or anything else--ping me!",
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        "title": "Frontend Engineer",
        "url": "https://www.ycombinator.com/companies/dart/jobs/AMpkzCj-frontend-engineer",
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        "title": "Backend Engineer",
        "url": "https://www.ycombinator.com/companies/dart/jobs/fY0s284-backend-engineer",
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      {
        "id": 93995,
        "title": "🎯 Dart: Cursor for Project management",
        "tagline": "Plan projects by chatting with Dart, then hand tasks to AI agents to get things done.",
        "body": "Hey, we’re Dart, and we’re launching AI Chat and Agents on YC and [ProductHunt.](https://www.producthunt.com/products/dartai)\n\nhttps://youtu.be/wdOTDKvaZS0\n\n# **Problem**\n\nProject management involves many hurdles. Tasks falling through cracks, team members wondering what they should be working on, and PM work that takes up more time than the projects themselves. Most project management tools force you to spend an inordinate amount of time on the “management” side instead of talking to users and building products.\n\nLegacy productivity and PM tools have been slow to adapt to LLMs, and even the newer, better ones have only recently begun clumsily tacking on AI features in an attempt to keep up with the trend.\n\n# **Solution**\n\nWe built Dart with AI incorporated from the ground up so teams stop managing logistics and start delivering outcomes. Most PM tools add “AI features.” Dart is fundamentally designed around AI: chat is the UI and agents are first-class collaborators.\n\n* **AI Chat:** Chat to create projects, tasks, subtasks, timelines, specs, and reports. Then conversationally manage your projects as you go\n* **AI Agents:** Invite our built-in or third-party custom agents to handle tasks across all roles such as marketing, design, sales, and coding\n* **Plug into your stack:** Connect all your tools like ChatGPT, Claude, Cursor, n8n, Slack, Discord, GitHub and more\n\n# **Our asks**\n\n* 🎯 Try out Dart today! Sign up at [dartai.com](https://dartai.com/) and leave us some feedback.\n* 😻 Support [our Product Hunt launch](https://www.producthunt.com/products/dartai)\n* We’re hiring for dev and marketing roles! [Apply here.](https://www.ycombinator.com/companies/dart/jobs)",
        "url": "https://www.ycombinator.com/launches/OS3-dart-cursor-for-project-management",
        "votes": 286,
        "created_at": "2025-09-20T10:56:55.553Z"
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      {
        "id": 78558,
        "title": "Dart - AI-powered project management",
        "tagline": "The AI tool that will save you seven hours per week in project management overhead",
        "body": "# tl;dr\n\n[Dart](https://www.dartai.com) is a fully-featured project management tool that uses AI to assist with roadmap planning, report generation, breaking tasks into subtasks, and executing on basic writing and design tasks. Teams use Dart in order to plan better and eliminate regular PM chores from their schedule, freeing up seven hours per week to focus on other work.\n\n![uploaded image](/media/?type=post&id=78558&key=user_uploads/850757/7bf68dfc-c1d3-409b-8b7d-995cca92e54c)\n\n# The problem\n\nIt's critical for teams to have some sort of project management system that works in order to stay organized and keep making progress. The issues arise when that project management process begins to take up an undue amount of time. Common processes like filling out and categorizing tasks, writing PRDs, cleaning out the backlog, and other ‘work about work’ are seen as simply the cost of doing business when using legacy tools.\n\n# Solution\n\nDart provides a more intelligent project management suite that will save each person on your team seven hours a week in standard PM busywork. In addition to best-in-class management for tasks, documents, roadmaps, calendars, and more, Dart also boosts your productivity with a suite of helpful AI enhancements.\n\nhttps://youtu.be/CMsBAv9CCyU\n\nThese AI functions include:\n\n\\- Automatic standup, changelog, and project report generation\n\n\\- Roadmap planning\n\n\\- Duplicate task detection\n\n\\- Subtask generation\n\n\\- Automatic Task execution with agents (currently for writing and design tasks)\n\n\\- Task categorization and filling (e.g. automatically assigning tasks to the right person)\n\n\\- AI-powered brainstorming\n\n\\- ChatGPT integration\n\n# Our Ask\n\nTry it out! [Dart is freely available](https://app.dartai.com/sign-up) to use now and start managing tasks with your team. We'd love to support and are always welcome to ideas or feedback.",
        "url": "https://www.ycombinator.com/launches/KR4-dart-ai-powered-project-management",
        "votes": 424,
        "created_at": "2024-02-20T16:06:22.408Z"
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    "subindustry": "B2B -> Marketing",
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    "city": null,
    "country": "VN",
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        "full_name": "Robert Huynh",
        "title": "Founder",
        "founder_bio": "Robert is the co-founder and CEO of Reforged Labs. Previously, he was at some of the world's largest tech companies (X the moonshot lab/Google/Microsoft) before starting his MBA at Harvard Business School.",
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        "title": "Software Engineer, AI Systems",
        "url": "https://www.ycombinator.com/companies/reforged-labs/jobs/MNhGZV1-software-engineer-ai-systems",
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        "url": "https://www.ycombinator.com/companies/reforged-labs/jobs/EUk5TFZ-product-manager-enterprise",
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    "news": [
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        "title": "Reforged Labs begins open beta for generative AI-created mobile game ads following $3.9m investment | PocketGamer.biz",
        "url": "https://www.pocketgamer.biz/reforged-labs-begins-open-beta-for-generative-ai-created-mobile-game-ads-following-39m-investment/",
        "date": "Nov 19, 2024"
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        "url": "https://venturebeat.com/games/reforged-labs-launches-ai-ad-creation-service-for-mobile-games-in-open-beta/",
        "date": "Nov 15, 2024"
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      {
        "title": "Reforged Labs secures $3.9 million for gaming ads with GenAI | PocketGamer.biz",
        "url": "https://www.pocketgamer.biz/reforged-labs-secures-39-million-for-gaming-ads-with-genai/",
        "date": "Aug 18, 2024"
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      {
        "title": "You can’t spell gaming without AI | Tech in Asia",
        "url": "https://www.techinasia.com/spell-gaming-ai",
        "date": "Aug 13, 2024"
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      {
        "title": "Reforged Labs Raises $3.9 Million",
        "url": "https://reforgedlabs.com/blog/reforged-labs-raises-3-9-million-to-transform-gaming-ads-with-genai",
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        "title": "Reforged Labs - Generate and optimize video ad campaigns",
        "tagline": "Generate and optimize video ad campaigns at superhuman speed",
        "body": "![uploaded image](/media/?type=post&id=78942&key=user_uploads/844410/a67b3219-3d42-44ad-b0fc-77040bc0eb90)\n\n**TL;DR:** [Reforged Labs](https://reforgedlabs.com/) is automating the full marketing cycle for mobile game studios with GenAI. Our text-to-ad creation and campaign performance solutions will slash time spent on ad creatives and help game developers get more mileage out of their game ad budgets.\n\n😤 **THE PROBLEM**:\n\nMarketing games is expensive and challenging. Mobile game studios spend >50% of their budgets on marketing - more than on development itself - to acquire and retain players. Today, your marketing workflow likely consists of this:\n\n* Design up to thousands of image, video, and playable ad units per campaign - for multiple campaigns across multiple ad networks\n* Analyze how each ad unit performs - then try your best to figure out which aspects of your ads made them hit or miss (because your reporting tools won’t be giving you that data)\n* Revise your ads and design new ones based on your best guess on what makes your players tick, without knowing whether your experimentation will pay off\n* Manually replace old and low-performing ads with new ones, and repeat the process across all your ad channels\n\n🤩 **THE SOLUTION**:\n\nWe make marketing campaigns substantially faster to run + deliver higher returns on your ad spend. Upload your game images and footage, enter simple text prompts for the ads you’d like to see, and we’ll extract the relevant visual assets and create your ads using a proprietary combination of LLMs, machine perception, and computer vision. Automatically resize finished creatives to fit multi-platform specs and export them as campaign-ready ad units.\n\nReduce your ad development time from days / weeks / months to minutes.\n\n![uploaded image](/media/?type=post&id=78942&key=user_uploads/844410/179c886c-ad78-41b9-bc44-f9c4d354a183)\n\nOnce your campaign is up and running, our models analyze and identify which attributes likely made certain ads more effective. Our self-improving models will\n\n🎨 Improve your existing ads by adjusting visual elements to include performance-lifting attributes\n\n🌟 Create new & original ads based on re-scanning your uploaded assets\n\n🚀 Automatically push new & improved ads to your x-channel campaigns and retire low-performers\n\nIncrease the ROI on your biggest expense with continuous, data-driven optimization.\n\n![uploaded image](/media/?type=post&id=78942&key=user_uploads/844410/03f5587d-e3e3-4796-88f5-5b8aa2871c30)\n\n🎮 **OUR STORY**:\n\n[**Oscar**](https://www.linkedin.com/in/oscarxingluo) and I ([**Robert**](https://www.linkedin.com/in/huynhrobert/)) met over two years ago as serial founders who shared a love for gaming (and countless hours of duo-queuing in League of Legends). We wanted to put our data science and GenAI/deep learning backgrounds to work on solving one of the biggest problems in a space we’re deeply passionate about - and that’s how Reforged Labs was founded six months ago. We’ve since formed a guild of ex-Googlers, ex-Rioters, ex-Microsofties, and a rolodex of indie and multinational clients, to join us on our journey to innovate game marketing!\n\n![uploaded image](/media/?type=post&id=78942&key=user_uploads/844410/d5a46d9b-d785-4a88-aea3-c26aa725589a)\n\n🙏 OUR ASK:\n\n* **Warm intros!** Share our post with mobile game developers, publishers, agencies, or marketers who’d like to explore what GenAI can do for them - we’d love to connect! Our waitlist is [**here**](https://reforgedlabs.com/) and our inbox is always open at [**founders@reforgedlabs.com**](mailto:robert@reforgedlabs.com)\n* **Ideas and feedback!** We’re constantly looking to connect with people with expertise in gaming, martech, and AI. Hit us up through our [**Calendly**](https://calendly.com/reforged/meet-robert) to let us know what would make you want to use a product like Reforged, or just to chat!\n\n**Meet with us in person at GDC March 18-22.** We’ll be around the corner of the Moscone Center and ready to mingle!",
        "url": "https://www.ycombinator.com/launches/KXG-reforged-labs-generate-and-optimize-video-ad-campaigns",
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        "created_at": "2024-03-01T14:10:59.180Z"
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        "title": "HOKALI: Reshaping after-school programming and unlocking children’s full potential - Digital Journal",
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        "title": "Streamlining After-School Programs: A Comprehensive Solution for Schools, Parents and Children in SF & LA - LA Weekly",
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    "long_description": "Flagright helps fintechs & banks monitor, screen, investigate, and report their transactions & customers against financial crime risks with a best-in-class AML compliance software. Catering to a diverse clientele across various financial sectors, we serve customers across 6 continents. Flagright is a pioneer in the application of generative AI for AML compliance operations with its AI suite, Flagright AI, delivering unmatched scalability and extreme performance. Our products are designed to help our customers scale volume without scaling headcount and grow faster.",
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        "full_name": "Baran Özkan",
        "title": "Founder",
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        "full_name": "Madhu G Nadig",
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        "id": 94656,
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        "url": "https://www.ycombinator.com/companies/flagright/jobs/VNxJzs3-marketing-associate-intern-singapore",
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        "experience": "Any (new grads ok)",
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    ],
    "news": [
      {
        "title": "Flagright Raises $4.3 Million in Seed Funding to Advance AI-Native AML Compliance and Risk Management Solutions",
        "url": "https://www.flagright.com/post/flagright-raises-4-3-million-in-seed-funding-to-advance-ai-native-aml-compliance-and-risk-management-solutions",
        "date": "Apr 01, 2025"
      },
      {
        "title": "Flagright makes Notion VC B2B 100 List",
        "url": "https://twitter.com/FlagrightHQ/status/1630174439466840064",
        "date": "Jan 01, 2023"
      },
      {
        "title": "Flagright offers transaction monitoring with usage-based pricing – TechCrunch",
        "url": "https://techcrunch.com/2022/06/28/flagright-offers-transaction-monitoring-with-usage-based-pricing/",
        "date": "Jun 28, 2022"
      }
    ],
    "launches": [
      {
        "id": 76102,
        "title": "Flagright AI Forensics 🛡️  AI-native AML investigations for fintechs & banks",
        "tagline": "We increase the quality and speed of financial crime investigations through natural language queries & AI agents",
        "body": "tl;dr: AI Forensics supercharges AML compliance & fraud team performance with a 90% productivity boost by harnessing natural language queries and AI-native analysis. [Watch it](https://www.youtube.com/watch?v=xRBKj2RLUvc&t=1s) in action 👇🏼.\n\nHi everyone, we are Madhu and Baran, from [Flagright](https://flagright.com).\n\n# 🚀 Introducing Flagright AI Forensics: The modern standard in AML compliance\n\nAt Flagright, we've created a powerhouse tool that enhances the speed and quality of financial crime investigations. By blending natural language processing with robust AI agents, we transform how fintechs and banks stay compliant and prevent financial crime.\n\n# 🔍 The Problem\n\nFinancial crime investigations take too long. Fintechs & banks cannot scale volume and grow without hiring a proportional amount of headcount into AML and fraud departments. This is because data is silo’d, teams have to access data on many different tools, and process/manipulate this data to investigate the suspicious activity as they reach a conclusion. As a result, they are always limited by the time it takes to conduct these tasks every single day for every single alert.\n\n# ✨ The Solution\n\nAI Forensics delivers extreme performance through natural language queries and AI-native analysis of suspicious activity. It can learn from a company’s internal policies, procedures, or continuous usage of the platform such as how past investigations were conducted.\n\n![uploaded image](/media/?type=post&id=76102&key=user_uploads/672295/67c58686-2cad-4bf5-83dd-29cef4e17321)\n\nIt is build on top Flagright’s centralized data infrastructure and data processing pipelines with LLMs and algorithms. That’s how it’s able to deliver accurate, cohesive analysis across a wide variety of use cases. Unlike pure LLM solutions, it can accurately make factual analysis, calculations, and display charts & tables instantly.\n\n# 🛠 How It Works\n\n<https://www.youtube.com/watch?v=xRBKj2RLUvc&t=1s>\n\n# 📣 Ask\n\nBe part of our journey in building the next generation anti financial crime infrastructure for fintechs & banks globally:\n\n* Follow us on LinkedIn to stay posted on our latest updates at <https://www.linkedin.com/company/flagright>\n* Get in touch for a live demo and to learn more at <https://www.flagright.com/contact>",
        "url": "https://www.ycombinator.com/launches/JnS-flagright-ai-forensics-ai-native-aml-investigations-for-fintechs-banks",
        "votes": 11,
        "created_at": "2023-11-09T09:47:36.523Z"
      },
      {
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        "title": "Flagright AI: A GPT-powered AI toolkit for AML compliance ops",
        "tagline": "Supercharge your financial crime prevention & AML compliance with Flagright AI & GPT",
        "body": "Hi there, this is [Baran](https://www.linkedin.com/in/baranozkan/) and [Madhu](https://www.linkedin.com/in/madhugnadig/) from [Flagright](https://flagright.com/)! 👋🏼\n\nFlagright provides an all-in-one software for financial institutions to manage financial crime risk and meet AML compliance regulations 🕵🏼. Our unified API delivers the essential (and mandatory) capabilities for regulatory compliance such as transaction monitoring, risk scoring, sanctions screening, case management and more, all managed via a no-code, flexible, and intuitive interface by the operational teams.. Flagright offers the fastest integration times globally: 4 days on average across all integrations with fintechs in 6 continents.\n\n![uploaded image](/media/?type=post&id=71272&key=user_uploads/89898/43eea7a5-9a88-4233-b405-f0a70bc36ebe)\n\n> # \n>\n> # **The launch: Flagright AI 🤖**\n>\n> Financial crime ops teams spend a lot of time doing research on customers and investigating suspicious activity on a daily basis. The mundane tasks are the main driver of inefficiency and headcount for financial institutions and fincrime teams 😩. Flagright AI **automates these tasks and even eliminates it entirely** for certain use cases such as merchant monitoring 🔎.\n\nIn addition to our proprietary technology, Flagright AI leverages the GPT API for specific features. **This is the first time the power of GPT is brought to AML compliance teams at scale, globally!** 🚀\n\nHere's an overview of the newest capabilities:\n\n1. **Merchant monitoring and alerting 🔎:** The GPT-powered merchant monitoring and alerting module enables Flagright customers to monitor merchants across multiple sources and channels with zero manual input. It eliminates 100% of manual monitoring efforts and improves fincrime operations while ensuring fast response times and maximum risk-mitigation.\n2. **Salesforce, Zendesk, and Hubspot integrations + GPT summaries ✉️:** The CRM integrations will consolidate your CRM correspondence within the Flagright case management system, with Flagright AI summarizing the highlights of customer correspondence. It eliminates the need to comb through tens of emails and messages for each customer correspondence. As a result, it saves analysts 15% of their time each day, improving operational efficiency and accuracy.\n3. **Case and alert narrative generator ✍️:** Our AI Narrative Writer drastically improves analyst performance, decreasing the time it takes to write a contextual narrative for each suspicious activity by 90+%. Flagright AI captures an analyst’s writing style, sentiment, user information, case closing reason, and specific suspicious activity.\n4. **AML AI risk score ⚠️:** AML Compliance Officers can now leverage AI to risk score their customers as a complementary mechanism to their traditional risk assessment (CRA) approach. The combination of heuristics & AI delivers maximum operational efficiency while maintaining explainability for regulators.\n5. **SAR generator 📇:** Our Suspicious Activity Report generator leverages GPT and can automatically create a SAR for any suspicious activity flagged by our platform's monitoring systems, reducing the time spent by 99%. Flagright AI ensures that SARs are generated consistently and accurately and reduces the risk of errors in manual SAR creation.\n\nFlagright AI represents a significant milestone in our journey to empower financial institutions with best-in-class operational tooling for AML compliance and fraud prevention.\n\nWe are excited to see the impact that Flagright AI will have on our customers and building a safer, more secure financial ecosystem. [Contact us](https://www.flagright.com/contact) to schedule a free demo if you are interested in learning more.\n\n# Launch deal\n\n* 50% discount on Flagright AI suite for the next 5 customers that sign up. First come, first serve! Get a demo now by clicking [here](https://www.flagright.com/contact)!\n* Y Combinator companies have additional discounts apply [here](https://deals.ycombinator.com/deals/1159).",
        "url": "https://www.ycombinator.com/launches/IXY-flagright-ai-a-gpt-powered-ai-toolkit-for-aml-compliance-ops",
        "votes": 34,
        "created_at": "2023-04-30T07:17:27.843Z"
      },
      {
        "id": 67971,
        "title": "Flagright Launchpad 🚀: Radically simplify fintech licensing & BaaS onboarding",
        "tagline": "A faster & cheaper alternative for fintechs to do BaaS onboarding, apply for a license, or create AML compliance policies.",
        "body": "[Flagright Launchpad](https://www.flagright.com/professional-services) helps starting or scaling fintechs simplify regulatory licensing and BaaS onboarding.\n\n![uploaded image](/media/?type=post&id=67971&key=user_uploads/672295/3bafeb6a-2d0c-437c-b1b6-7df426efba53)\n\nIt’s currently available in the UK 🇬🇧, Canada 🇨🇦, Singapore 🇸🇬, Kenya 🇰🇪, and the EU 🇪🇺, with new jurisdictions launching soon. With Launchpad, you can 👇:\n\n1. **Onboard with BaaS providers** of your choice or connect with our partners like CurrencyCloud, Rapyd, ClearJunction and more. 🏦\n2. Create **customized AML compliance policies** for each jurisdiction & use case. 📜\n3. **Apply for fintech license** in each jurisdiction for specific license types. 💼\n4. Get **advisory services for AML compliance** or fraud-related questions. 🛎\n\n![uploaded image](/media/?type=post&id=67971&key=user_uploads/672295/306bdf29-b01e-43c2-8a22-285d31b3e501)\n\n### **Expert Team** 🦸\n\nLaunchpad is built by fintech operators and led by ex Group MLRO of Revolut with 15+ years of experience in regulatory relationships, AML compliance, and banking.\n\n### **What we don’t do** ⛔\n\nFlagright team does not provide legal advice.\n\n### **How to get in touch** 🤙\n\nSchedule a call & get started at <https://www.flagright.com/professional-services>",
        "url": "https://www.ycombinator.com/launches/HgJ-flagright-launchpad-radically-simplify-fintech-licensing-baas-onboarding",
        "votes": 30,
        "created_at": "2022-12-19T16:06:45.111Z"
      }
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    "id": 25613,
    "name": "Gauss",
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      "Gauss Money"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/47cb34b7397c027f788b4eed1a3ea9abfcb1c1df.png",
    "website": "https://gauss.money",
    "all_locations": "New York City, NY, USA",
    "long_description": "Gauss is building an AI credit agent that automatically lowers the cost of consumers’ debt.\r\n\r\nThe product connects to a user’s credit profile, continuously monitors balances and available offers, and executes refinances or restructurings when it can materially improve terms.\r\n\r\nFor credit card debt, Gauss can track and automatically pay off any expensive balance on connected cards from an instantly originated line of credit, saving users thousands of dollars on interest charges and helping them pay off faster.",
    "one_liner": "AI agent that helps consumers lower the cost of debt automatically",
    "team_size": 16,
    "industry": "Fintech",
    "subindustry": "Fintech -> Consumer Finance",
    "launched_at": 1646153163,
    "tags": [
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      "Consumer"
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    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2022",
    "status": "Active",
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    "regions": [
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      "America / Canada",
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/gauss",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/gauss.json",
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    "city": "New York City",
    "country": "US",
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        "full_name": "Alex Matsenov",
        "title": "Founder",
        "founder_bio": "Alex is the co-founder and CEO of Gauss Money. Alex led credit at Nordea Bank and MDM Bank. He's a 3x founder, 2x YC. Alex has an advance degree in machine learning, was a late stage venture investor in the machine learning space, and is a huge fan of fundamental physics and artificial intelligence research.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/alexmatsenov/",
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      {
        "user_id": 593870,
        "full_name": "Abdullo Akhadov",
        "title": "Founder",
        "founder_bio": "Abdullo is the co-founder and COO of Gauss. He has a 17+ years management tenure in credit risk, compliance, operations, and technology with the largest financial institutions in Europe and the Asia Pacific (JPK, ASEAN, ANZ, Greater China).",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/abdulloakhadov/",
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    "jobs": [
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        "id": 112580,
        "title": "Growth Marketing Lead for a consumer fintech",
        "url": "https://www.ycombinator.com/companies/gauss/jobs/HzUwVAi-growth-marketing-lead-for-a-consumer-fintech",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$80K - $180K",
        "equity_range": "0.25%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
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    "news": [],
    "launches": []
  },
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    "id": 25618,
    "name": "Sphere",
    "slug": "sphere",
    "former_names": [
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fc0d294f87bf92591068b7be31f9764d53248760.png",
    "website": "https://www.getsphere.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Sphere is an AI-powered cross-border compliance platform. \r\n\r\nWe help companies like Lovable, Eleven Labs, Replit and Windsurf automate their sales tax, VAT, GST compliance obligations. \r\n\r\nWhat makes us different to other vendors on the market is: \r\n\r\n1. we have spent the last 1.5 years building local rails into 100+ tax authorities in both the US and internationally to properly automate compliance processes, and \r\n2. we've built the world's first AI-native tax engine which ingests, codifies and monitors tax law globally.",
    "one_liner": "AI-powered sales tax, VAT and GST compliance",
    "team_size": 7,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1640146843,
    "tags": [
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      "B2B",
      "AI"
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    "batch": "Winter 2022",
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    "regions": [
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      "America / Canada"
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    "stage": "Growth",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/sphere",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/sphere.json",
    "year_founded": 2021,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/school/getsphere/",
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    "app_video_url": null,
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    "primary_partner": {
      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
    },
    "founders": [
      {
        "user_id": 516489,
        "full_name": "Nicholas Rudder",
        "title": "Founder",
        "founder_bio": "I'm the Co-Founder and CEO of Sphere, living in SF but originally hailing from the sunny shores of Sydney, Australia. My background is in both tech and finance. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/nicholasrudder/",
        "x_url": "https://twitter.com/nrudder_",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f089b0517fa5a4e2b9a6121cb05e78ef6b6d0e1e.jpg"
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    "jobs": [
      {
        "id": 79071,
        "title": "Senior Product Engineer",
        "url": "https://www.ycombinator.com/companies/sphere/jobs/bbaPgMs-senior-product-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$180K - $250K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "React",
          "Figma"
        ]
      },
      {
        "id": 80565,
        "title": "Senior Full Stack Engineer",
        "url": "https://www.ycombinator.com/companies/sphere/jobs/m1e8VIc-senior-full-stack-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$180K - $250K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Django",
          "Python",
          "React"
        ]
      },
      {
        "id": 80567,
        "title": "Senior Backend Engineer (Infrastructure)",
        "url": "https://www.ycombinator.com/companies/sphere/jobs/vReUfAx-senior-backend-engineer-infrastructure",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Devops",
        "salary_range": "$180K - $250K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Amazon Web Services (AWS)",
          "Kubernetes",
          "PostgreSQL",
          "Python"
        ]
      },
      {
        "id": 80568,
        "title": "Senior Backend Engineer (Data)",
        "url": "https://www.ycombinator.com/companies/sphere/jobs/RWOPvIp-senior-backend-engineer-data",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$180K - $250K",
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        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
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          "Python",
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          "Data Warehousing",
          "Data Modeling"
        ]
      },
      {
        "id": 80988,
        "title": "Founding Account Executive",
        "url": "https://www.ycombinator.com/companies/sphere/jobs/3V9MbbG-founding-account-executive",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$220 - $260",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
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      },
      {
        "id": 86405,
        "title": "AI Engineer",
        "url": "https://www.ycombinator.com/companies/sphere/jobs/5CBpoL3-ai-engineer",
        "location": "San Francisco HQ",
        "type": "Full-time",
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        "id": 94681,
        "title": "Founding Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/sphere/jobs/janritJ-founding-forward-deployed-engineer",
        "location": "San Francisco HQ",
        "type": "Full-time",
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        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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    ],
    "news": [
      {
        "title": "Sphere: The Global Tax Compliance Platform",
        "url": "https://www.youtube.com/watch?v=L_UjKHUfN7E",
        "date": "Nov 19, 2025"
      },
      {
        "title": "a16z leads $21M Series A into AI-native tax compliance software Sphere | TechCrunch",
        "url": "https://techcrunch.com/2025/11/18/a16z-leads-21m-series-a-into-tax-compliance-platform-sphere/",
        "date": "Nov 18, 2025"
      }
    ],
    "launches": [
      {
        "id": 83117,
        "title": "Sphere - Global sales tax / VAT / GST compliance powered by LLMs  🌎",
        "tagline": "We help US companies sell anywhere in the world while remaining compliant.",
        "body": "### **TLDR**\n\n[Sphere](https://www.getsphere.com/?utm_source=yclaunch&utm_medium=launchpost) puts global indirect tax compliance (i.e., sales tax, VAT, and GST) on autopilot - everything from nexus monitoring, registration, calculation / collection, filing, and remittance. Our AI-powered tax engine helps tech companies like Runway AI, Sierra AI and Codieum remain in compliance when selling to customers around the world. Want an estimate on your global indirect tax liability free of charge? [Talk to the Sphere team today](https://calendly.com/d/44n-bjc-wq7/meeting-with-sphere-team).\n\n### **The problem**\n\nWhen I ran [my last business](https://www.businessinsider.com/y-combinator-edtech-startup-sphere-seed-round-workplace-training-2022-8), we sold our product globally from day 1 and had a number of challenges with domestic and international tax compliance.\n\nSpecifically, we didn’t even know where/when we needed to pay sales tax, VAT, or GST, and even when we did, dealing with archaic government portals and filing on a regular basis was a royal pain in the behind. \n\nAfter talking to hundreds of finance leaders, we found similar pain points, and when it comes to indirect tax, companies either:\n\n* **Ignore it,** but their tax liabilities accrue, and eventually, they have to pay the liability out of pocket, which can block future fundraises. Additionally, it is becoming increasingly difficult to ignore as tax authorities pass new regulations to clamp down on indirect tax evasion, especially for tech companies. \n* **Use an incumbent tax automation tool** (e.g. Avalara), but they don’t provide functionality for international coverage, are old/clunky, very expensive, and offer terrible support\n* **Use local tax advisors,** which becomes incredibly expensive as you scale\n\n### **Our solution**\n\nSphere’s platform puts international indirect tax compliance (i.e., sales tax, VAT, and GST) on autopilot:\n\n_Step 1_: We integrate with your payment, billing, and HR solutions to help you see where in the world you’ve triggered economic or physical nexus and how big your indirect tax liability is.\n\n![uploaded image](/media/?type=post&id=83117&key=user_uploads/516489/d64c617f-1911-4b9d-a509-aa38218c8d7a)\n\n_Step 2_: Once you know where you’re exposed you can register in any jurisdiction via our integrations with local tax authorities. We’ve done the heavy lifting of building these integrations to provide a holistic and superior customer experience (unlike other solutions that will push you to one of their international advisory partners)\n\n![uploaded image](/media/?type=post&id=83117&key=user_uploads/516489/2fd26632-aa74-4117-a949-691ba98a4c19)\n\n_Step 3_: We leverage scraping technology and LLMs to collect, monitor, and process tax code data around the world (which is then verified by tax experts). Our AI tax engine integrates with your payment and billing provider to ensure you’re calculating and collecting tax correctly for your transactions based on 1. the product being sold and 2. the customer's location.  \n\n![uploaded image](/media/?type=post&id=83117&key=user_uploads/516489/b171ff6b-e556-4bb0-9aee-9652ca25ea98)\n\n_Step 4:_ We then file your tax returns in each jurisdiction and remit tax collected to local authorities - on time, every time.\n\n![uploaded image](/media/?type=post&id=83117&key=user_uploads/516489/92a2e99e-18c3-4a94-bf6b-2909ffe49c48)\n\n### **How we are different** \n\n* **True global coverage**: We’ve built out integrations with tax authorities around the world and are building a proprietary system that uses AI to collect and monitor tax data globally, providing compliance across sales tax, VAT, and GST. Other vendors will say they are ‘global’ but will offload you to an international partner for VAT / GST (which means a disjointed experience, more work for you, and more $$$ spent)\n* **We're focused on fast-growing software / AI companies:** We are an extremely developer-friendly product (easy implementation, broad set of integrations, flexible APIs) and have the most transparent and reasonable pricing on the market ($100 / region/month all-inclusive)\n* **Built with AI at the core**: Our tax engine is powered by an LLM trained on local + global tax legislation and tax rate data to ensure all your transactions are in compliance wherever you sell (other vendors do this research manually, which is hard to scale globally and prone to errors!).\n\n### **Team** \n\n[Nick](https://www.linkedin.com/in/nicholasrudder/) comes from a finance background in the TMT sector (PwC, Macquarie) and experienced the pain of dealing with indirect tax firsthand in his last business, which was a B2C marketplace selling across the world. \n\n[Mehmood](https://www.linkedin.com/in/meshde/) and [Miguel](https://www.linkedin.com/in/miguelribeironeto/) built and optimized many of the cross-border compliance systems at Deel and were previously the founding engineers at Capbase (founded by YC alums), which helped businesses with entity setup and administrative compliance around the world.\n\nWe’re also lucky to have a team of indirect tax experts from companies like Uber, Avalara, and more. \n\n### **Vision** \n\nWe are building an AI-powered cross-border compliance platform so that businesses can transact seamlessly around the world. \n\nAs our engine ingests more compliance legislation from each region and becomes more robust with each customer, we will layer in additional cross-border services, including withholding tax, e-invoicing, and payments services, to further help businesses go global from day 1.    \n\n**_We want to be the Deel for international billing._** \n\nBy abstracting away compliance and cross-border payment admin, we believe this: \n\n* Levels the playing field for startups to compete against global incumbents\n* Helps governments and local economies benefit more from international trade\n\n### **Asks** \n\n* Want to better understand your tax liability? [Onboard with Sphere for free,](https://calendly.com/d/44n-bjc-wq7/meeting-with-sphere-team) and we’ll show you where you’re exposed and provide an estimate of your tax liability (we only charge once you register and file for a jurisdiction) \n* Know a CEO or finance leader who needs help with sales tax / VAT / GST or hates their current solution? Please reach out to me at [nicholas@getsphere.com](mailto:nicholas@getsphere.com) or feel free to send the below blurb to them.\n\n\\*\\*\\*\\*\\*\\*\\*\\*\\*\\*\\\nA YC company called [Sphere](https://www.getsphere.com/?utm_source=yclaunch&utm_medium=referralblurb) has built an AI-powered indirect tax compliance platform that offers global coverage, easy implementation, and stellar support, all for a flat fee per region per month. They’re already helping global software and AI businesses like Runway AI, Sierra AI, Codeium, and many more. Book a time with them [here](https://calendly.com/d/44n-bjc-wq7/meeting-with-sphere-team).\n\n![uploaded image](/media/?type=post&id=83117&key=user_uploads/516489/50763454-8047-46b2-8320-4903d0c66473)\n\n",
        "url": "https://www.ycombinator.com/launches/Lcb-sphere-global-sales-tax-vat-gst-compliance-powered-by-llms",
        "votes": 54,
        "created_at": "2024-08-16T14:34:53.765Z"
      }
    ]
  },
  {
    "id": 25634,
    "name": "IOMETE",
    "slug": "iomete",
    "former_names": [
      "iomete"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d0597230dc5b69128c0f3bcea1b68ac1fa6181fa.png",
    "website": "https://www.iomete.com/",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "The IOMETE self-hosted data lakehouse platform unifies all data - regardless of where the data resides - enabling large-scale analytics (BI/ML/AI) on the entire data set. IOMETE runs always in the customer's environment, whether on premises, on public cloud or private cloud thereby maximizing data security, data privacy and data ownership while reducing cost.",
    "one_liner": "Self-hosted data lakehouse platform",
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        "title": "Software Engineer (Frontend)",
        "url": "https://www.ycombinator.com/companies/velt/jobs/B263s2e-software-engineer-frontend",
        "location": "IN / Remote (IN)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "₹2M - ₹3M INR",
        "equity_range": "0.50% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Angular",
          "Node.js",
          "TypeScript"
        ]
      }
    ],
    "news": [
      {
        "title": "A Y Combinator-backed startup called Velt wants to make more apps collaborative",
        "url": "https://techcrunch.com/2023/12/04/a-y-combinator-backed-startup-called-velt-wants-to-make-more-apps-collaborative/",
        "date": "Dec 04, 2023"
      }
    ],
    "launches": [
      {
        "id": 111289,
        "title": "Superflow AI: QA agents for your website",
        "tagline": "AI agents that QA every page of your website",
        "body": "## TL;DR\n\nAI made creating websites fast. Checking still costs what it always did. [Superflow](https://usesuperflow.ai/) closes that gap: it turns your QA checklist into AI agents.\n\n* They sweep every page of your site and handle the black and white issues: a dead link, a typo, a form that doesn't submit, a layout that breaks a written brand guideline.\n* You handle taste: the calls with no reference to check against, like whether a design direction is right or a page is good enough to ship. An agent can flag a page. Only a person can approve one.\n* They learn from every review, so the hundredth site gets checked better than the first.\n* Teams tell us the agents catch about 90% of what they used to find by hand. The other 10% needed a person all along.\n\n## Demo\n\n<https://www.youtube.com/watch?v=x8g5jZ2vKno>\n\n## The problem\n\nAn agency founder told us, \"We're never changing our QA process. It's tight.\"\n\nThen he sent us the checklist: 400 rows. Ten people clicking through every page by hand.\n\nWe ran our agents on one of his live sites. First finding: placeholder text, live for months. It was on the checklist. Row 212.\n\nChecklists don't fail because they're wrong. They fail because a human is on row 212 at 9pm on a Friday.\n\nAnd the misses that hurt aren't broken links:\n\n* A phone number in the header that doesn't match the footer.\n* \"Award winning\" on a site with no award. In dental, that's a regulator problem.\n* A previous client's name in a testimonial because the page was cloned.\n\nCreating a site collapsed to an afternoon. Checking it didn't budge.\n\n## How it works\n\n* Upload your checklist as is: spreadsheet, PDF, or doc. No reformatting.\n* Superflow turns it into a set of agents, including any custom checks on your list.\n* They run in parallel on every page, phone and desktop. A full site takes minutes.\n* Every finding is pinned on the page with a screenshot, so if the layout shifts later you still have the picture.\n* It fits your process: custom statuses, private team comments (agent findings stay team-only until you clear them), two way sync with your task tool, and a daily recap.\n* Agents learn. Reject a finding and it stops coming back. Catch a miss yourself and it becomes a check on every site after.\n\n## Backstory\n\nLast week we moved our own site from Framer to Next.js.\n\nThe step that used to eat the timeline, clicking through every page to catch what silently broke, our own agents did before sign off.\n\nThe build took a week. We were live in two, start to finish.\n\nCreating done by AI. Checking done by agents. Judgment kept by people.\n\n## Ask\n\nTry [Superflow](https://usesuperflow.ai/) on one page of your own site. No card, no login for reviewers.",
        "url": "https://www.ycombinator.com/launches/Swz-superflow-ai-qa-agents-for-your-website",
        "votes": 2,
        "created_at": "2026-08-18T15:55:44.561Z"
      },
      {
        "id": 99540,
        "title": "Velt Cursor plugin: Add Real-Time Collaboration to your App in 10 mins",
        "tagline": "/install-velt. One command. Add CRDT, comments, activity logs, and notifications to your app in one command.",
        "body": "Type **/install-velt**. The agent reads your codebase, asks which features you want, and scaffolds everything.\n\nComments that attach to specific elements. Real-time editing (CRDT). Presence. Cursors. Notifications. Activity logs. All wired up. Working app.\n\nAdding collaboration features looks like a weekend project. It's not.\n\nComments that anchor to elements. CRDT editing that doesn't corrupt data. Live cursors. Notifications. Activity logs. Each one is simple alone. Together they touch auth, state, routing, permissions, websockets. Get the order wrong and nothing works.\n\nMost teams skip it or spend months on it. Regret both.\n\nWe encoded 140+ implementation rules into the plugin so the agent doesn't make those mistakes. It also includes two MCP servers and a velt-expert agent persona for architecture questions.\n\n→ Watch the demo: <https://www.youtube.com/watch?v=-7we6P5w6I8>\n\n→ Cursor Directory: <https://cursor.directory/plugins/velt>\n\n→ Cursor plugin: <https://github.com/velt-js/velt-plugin-cursor>\n\n→ Claude Code plugin: <https://github.com/velt-js/velt-plugin-claude>\n\n→ Docs: <https://docs.velt.dev/get-started/plugins>\n\nIf you try **/install-velt** on an existing project and something breaks, tell us. That's the case we most want to stress test.",
        "url": "https://www.ycombinator.com/launches/PtU-velt-cursor-plugin-add-real-time-collaboration-to-your-app-in-10-mins",
        "votes": 6,
        "created_at": "2026-04-07T20:19:13.619Z"
      },
      {
        "id": 99380,
        "title": "Velt Activity Logs: Audit trail for humans and AI agents",
        "tagline": "One audit trail for every action in your product. Who did what, and when.",
        "body": "\n![uploaded image](/media/?type=post&id=99380&key=user_uploads/195692/08763c82-d915-4369-8e0d-2d5a820be7de)\n\nRight now, most products have no idea what their AI agents did yesterday.\n\nThat's going to seem crazy in two years.\n\nEvery SaaS product is adding AI agents that write, edit, and approve things. But only human actions produce an audit trail. AI agents just act. No record. No attribution. No proof a human reviewed the output.\n\nThis breaks the moment a customer's compliance team asks one question: \"Did a human approve this?\"\n\n**What we built:**\n\nVelt is a collaboration infrastructure SDK. Comments, presence, real-time editing (CRDT), recording, notifications. Activity Logs is the newest piece.\n\n→ Auto-captures comments, reactions, recordings, CRDT edits. Zero config. \n\n→ createActivity() for your own events. One function call. \n\n→ AI agents produce the same record as humans. Same schema. Same attribution. \n\n→ Immutable by default. SOC 2 Type II. HIPAA with BAA.\n\nAgent acted → Human reviewed → Decision recorded. The pair is the proof.\n\n**Ask:**\n\nIf your enterprise buyers are asking for proof of human oversight over AI, we built this for you. Try it and tell us what's missing.\n\n<https://velt.dev/activity-logs>",
        "url": "https://www.ycombinator.com/launches/Pqu-velt-activity-logs-audit-trail-for-humans-and-ai-agents",
        "votes": 5,
        "created_at": "2026-04-02T19:32:54.147Z"
      },
      {
        "id": 98498,
        "title": "Velt Claude plugin: Add Real-Time Collaboration to your App in 10 mins",
        "tagline": "Claude Code plugin that adds CRDT, comments, presence, and notifications to your app in one command.",
        "body": "Building collaboration features from scratch is one of those problems that looks simple and isn't.\n\nCRDT for live sync. Presence to show who's online. Comments that attach to specific elements. Notifications. Permissions. \n\nIt compounds fast. Most teams either skip it or spend months on it and regret both decisions.\n\nWe've been building this infrastructure for 4 years. Varonis, Pendo, HeyGen, Freshworks, Trumpet already use it in production.\n\nToday we're launching a Claude Code plugin that installs all of it in under 10 minutes.\n\nYou run one command. It asks which features you want. \n\nYou give it your API key. It installs, configures, and wires everything together.\n\nThat's it.\n\n→ Watch the demo: <https://www.youtube.com/watch?v=JpfKRu65DTk>\n\n→ Get started: <https://velt.dev/>\n\n→ Docs: <https://docs.velt.dev/get-started/plugins>\n\nWe're a small team and we read every message. \n\nIf you try it and something doesn't work, tell us.",
        "url": "https://www.ycombinator.com/launches/Pcg-velt-claude-plugin-add-real-time-collaboration-to-your-app-in-10-mins",
        "votes": 3,
        "created_at": "2026-03-05T17:38:44.587Z"
      },
      {
        "id": 94308,
        "title": "Velt: Multiplayer Editing Toolkit for React Flow (Build Multiplayer Agent Workflows)",
        "tagline": "Add multiplayer editing capability in minutes.",
        "body": "If you are building AI agents and AI workflow builders inside your product, then you are most likely using[ React Flow](https://reactflow.dev/) to power these experiences. Now with[ Velt](https://www.linkedin.com/company/veltjs/), within a few minutes you could make these workflows multiplayer just like Figma's FigJam! We’ve created a purpose-built plugin for React Flow that makes any react flow implementation multiplayer out of the box.\n\n![uploaded image](/media/?type=post&id=94308&key=user_uploads/195692/38bab09b-d530-458b-9c03-25444a9d5758)\n\n**Velt does the heavy lifting:**\n\n* fully managed ultra low latency backend\n* real-time merges and conflict resolution (CRDT via Yjs)\n* offline support\n* presence indicators\n* slack-style huddle\n* figma-style comments and notifications\n* custom encryption for additional security\n\nYou can focus on delivering epic value to your users. No more building complex infra from scratch.\n\n**Demo**\n\n* [Demo video](https://www.youtube.com/watch?v=mgz0jOCLyUA)\n* [Live Demo](https://velt-reactflow-crdt-demo.vercel.app/)\n* [Sample code](https://github.com/velt-js/velt-reactflow-crdt-demo)\n* [Docs](https://docs.velt.dev/realtime-collaboration/crdt/setup/reactflow)\n\n**Customers**\n\nWe power multiplayer experiences for companies like **Heygen**, **Pendo**, **Runway**, **Vellum** etc\n\n### [**Try today**](https://velt.dev/multiplayer-editing)",
        "url": "https://www.ycombinator.com/launches/OX6-velt-multiplayer-editing-toolkit-for-react-flow-build-multiplayer-agent-workflows",
        "votes": 8,
        "created_at": "2025-10-03T01:06:50.117Z"
      },
      {
        "id": 84853,
        "title": "Velt: Tiptap Comments",
        "tagline": "Enable comments and collaboration in your Tiptap editor.",
        "body": "With [**Tiptap Comments Extension**](https://www.npmjs.com/package/@veltdev/tiptap-velt-comments), you can add Google Docs-style overlay comments to your Tiptap editor. Here is a [**demo video.**](https://www.youtube.com/watch?v=PIWBwV3IHok) You can [**try it here.**](https://documentation-app-demo.vercel.app/)\n\n![](https://bookface.ycombinator.com/media/?type=post&id=84853&key=user_uploads/195692/d711f012-f784-4ed9-b481-5ee328b75f07)\n\nIt's fully customizable and comes with a lot of powerful built-in features like attachments, mentions, recording, notifications and more.\n\nAdding comments and notification features have shown to boost engagement and growth with platforms. If you use Tiptap in your product, you could enable powerful collaborative experiences using [Velt](https://velt.dev/).\n\n### **Installation**\n\nYou can install the NPM package [here.](https://www.npmjs.com/package/@veltdev/tiptap-velt-comments)\n\n### **Supported Frameworks**\n\nAll major JS frameworks like React, Next, Angular, Vue, Svelte.\n\n### **More about Velt SDK**\n\nWith Velt SDK you can add powerful collaboration features to your product extremely fast.\n\nThe SDK provides **fullstack components**:\n\n* UI and behavior are fully customizable to match your product's needs\n* fully-managed on a scalable realtime backend\n\nFeatures include:\n\n* **Comments** like Figma, [Frame.io](http://Frame.io), Google Docs, Sheets and more\n* **Recording** like Loom (audio, video, screen)\n* **Huddle** like Slack (audio, video, screensharing)\n* In-app and off-app **notifications**\n* **@mentions** and assignment\n* **Presence**, **Cursors**, **Live Selection**\n* **Live state sync** with Single Editor mode\n* **Multiplayer editing** with conflict resolution\n* **Follow mode** like Figma\n* ... and so much more",
        "url": "https://www.ycombinator.com/launches/M4b-velt-tiptap-comments",
        "votes": 14,
        "created_at": "2024-10-17T22:07:51.992Z"
      },
      {
        "id": 84000,
        "title": "Embedded Recording SDK by Velt",
        "tagline": "Add AI powered Loom-style recording to your product!",
        "body": "We're excited to launch [**Embedded Recording in the Velt SDK**](https://velt.dev/recording). Build AI-powered Loom-style recording features (voice, video, and screen) **into your product** in minutes. It automatically generates summaries and transcriptions.\n\n![uploaded image](/media/?type=post&id=84000&key=user_uploads/195692/5f8d698a-2c7e-4d5e-bba5-4add9671cbee)\n\n# **Why this matters:**\n\nYour users are probably already using tools like Loom to communicate. That's time and data they could be spending in your product. Keep your users in your product with native communication features and boost engagement. It's a win for everyone.\n\n# **Products that benefit:**\n\n* Ticketing tools _(Jira, Linear)_\n* Project management tools _(Asana, ClickUp)_\n* Email marketing tools _(Apollo, Customer.io )_\n* Sales tools _(Salesforce, Hubspot)_\n* Development tools _(Github for code reviews)_\n\n# **How it works:**\n\nVelt is a JS SDK that handles everything—UI/UX, full functionality, backend server, and storage. No configuration is needed. You can fully customize it to fit your brand. It works with Next.js, React, Angular, and more.\n\n4 easy steps to get started (see [docs](https://docs.velt.dev/async-collaboration/recorder/setup)):\n\n1. Initialize Velt SDK\n2. Add the recorder components\n3. Customize\n4. That's it!\n\n# **Key Features:**\n\n* Native voice, video, and screen recording\n* AI transcriptions and summaries\n* Built-in recording and playback UI\n* Cross-browser and device compatibility\n* Fully customizable\n* Fully managed and scalable storage and backend",
        "url": "https://www.ycombinator.com/launches/Lqq-embedded-recording-sdk-by-velt",
        "votes": 10,
        "created_at": "2024-09-13T02:03:03.103Z"
      },
      {
        "id": 79688,
        "title": "Velt: Full-stack Comments SDK",
        "tagline": "Build powerful commenting features into your SaaS product crazy fast.",
        "body": "**TL;DR:** Build powerful commenting features into your SaaS product crazy fast. Make it just as collaborative as the big dogs—Google Docs, Sheets, Figma, Frame io... Keep your users collaborating in your app instead of Slack or Zoom. Watch your engagement soar.\n\n[**Demo Video**](https://www.youtube.com/watch?v=27tIG8jEAbc)\n\n![uploaded image](/media/?type=post&id=79688&key=user_uploads/195692/3b9b3bc9-6a81-4e98-82e8-abb2d917f9b5)\n\n### **🤔 Why?**\n\nYour customers want to have discussions within your product – feedback, questions, ideas. Since they can’t do it in your product, they move off-platform to slack, emails, zoom etc.. It's friction for your customers (and you'll watch their engagement drop.)\n\nLuckily, the solution is simple. Add a comment layer across your product. Let customers comment and discuss anywhere, without opening up Slack or Gmail.\\\n\\\nI know what you're thinking. \"How am I going to build that? That's months of engineering and product effort we haven't scoped in.\"\n\n### **✅ Solution**\n\nWe built a complete full-stack Comments feature components for any SaaS product. Embed it anywhere and enable experiences you see in your favorite products like Google Docs, Figma, Sheets and more.\n\nBackend, Frontend - all included.\n\n### **✅ Products that benefit from commenting**\n\n* _Video tools: Frame-by-frame feedback on videos_\n* Documentation tools: Inline comments for better edits\n* _Analytics / Data tools: Questions answered directly on charts and tables_\n* Design tools: Review design assets\n* Form builders, CRMs and so many more\n\n### **🚀 Key Features**\n\n* Commenting Styles: Google Sheets, Google Docs, Notion, Figma, [Frame.io](http://Frame.io), Charts, etc.\n* Loom-style audio, video, screen recording\n* Task management: Statuses, Priority, approval, @ mention\n* Intelligence: AI categorization, AI transcription\n* Customize layout, css & behavior\n* In-app notifications, email notifications, realtime Webhooks\n* Performant and Robust: Buttery smooth. Binds and adapts to changes in your DOM and data.\n\n### **🚀 Try here:** [**https://velt.dev/comments**](https://velt.dev/comments)",
        "url": "https://www.ycombinator.com/launches/KjI-velt-full-stack-comments-sdk",
        "votes": 8,
        "created_at": "2024-03-25T21:40:45.302Z"
      },
      {
        "id": 79200,
        "title": "Superflow: Frame by frame review on Lottie files",
        "tagline": "Get approvals with fewer rounds of reviews and ship more assets fast!",
        "body": "We fixed the mess of Lottie animation reviews. Frame-by-frame comments mean you ship more animations faster. [Here](https://drive.usesuperflow.com/lottie?id=YVUxTXhLUDByY2EyVVh3S2k4YmxfXzMzYmQzYjg3ZWM3ZjI2NTUxOTQxYjMyMjQ2ZjJhOTAxX19sb3R0aWU%3D&version=v1&_gl=1\\*59beb5\\*_gcl_au\\*MTc5OTQ4OTk4OS4xNzA3NzA3MTc4) is a live demo.\n\n![uploaded image](/media/?type=post&id=79200&key=user_uploads/195692/caa35638-b3e5-4704-9cf3-be7fc8e57db9)\n\nOur mission is to make every creator 10x. We believe creators build the future and your time is precious. Superflow makes you a 10x creator: create 10x more, create 10x better work, grow 10x.\n\n**🤔 Why are we building this?**\n\nWe built this because the old way sucked. Screenshots, endless emails, live meetings just to tweak an animation... that's not how things should work in 2024. So we fixed it!\n\n**✅ Solution**\n\nSuperflow lets creative teams review and provide frame-by-frame feedback on Lottie files.\n\nThis enables you to get approvals with fewer rounds of reviews so that you can get back to animating. With Superflow, you deliver more beautiful animations at light speed.\n\n**🚀 Key Features**\n\n* Pinpoint feedback on frames and individual elements.\n* Voice, Video + AI notes for when typing is too slow.\n* Built-in task management to streamline the process.\n* Works on all devices and browsers.\n* Integrates with your existing tools: Asana, ClickUp, Monday, Slack, you name it.\n* Built-in approval flow just like Docusign.\n* Share easily with a click and get notified when someone visits.\n\n[**Get started**](https://usesuperflow.com/lottie-files-review), it’s free.",
        "url": "https://www.ycombinator.com/launches/KbQ-superflow-frame-by-frame-review-on-lottie-files",
        "votes": 7,
        "created_at": "2024-03-08T03:28:50.378Z"
      },
      {
        "id": 66899,
        "title": "Superflow: Comment and collaborate directly on your product!",
        "tagline": "Comment and collaborate on your staging and prod websites.",
        "body": "![uploaded image](/media/?type=post&id=66899&key=user_uploads/195692/536286e1-bb3b-475f-a06a-b7a9d275aac7)\n\n_(_[_demo video)_](https://www.youtube.com/watch?v=cdnfBEw8TfI)\n\n[SuperFlow](https://usesuperflow.com/) makes it super easy to comment on live websites just like you comment on Figma. You can use is to get Copy or UI feedback right on the website you are building. Feedback can be provided in rich formats like audio and video. The best part is that you and your clients don’t need a browser extension.\n\nSuperFlow brings collaboration to wherever you are. Everything is just weaved into one cohesive experience. We have curated the best features of top products like Slack, Loom, Figma into one tool.\n\n### **👩🏼‍💻Who this is for**\n\nWeb agencies, freelancers, product or design teams.\n\n### **Key problems**\n\n* Scattered feedback across emails, slack etc.\n* Endless back and forth, screenshots, unnecessary meetings etc.\n* Clients have to install & learn new tools.\n\n### **📝 Use cases**\n\n* Get copy or UI feedback from clients.\n* Assign tasks to internal team members.\n\n### **💵 Value**\n\n* Reduce website review cycles and ship faster.\n\n### **🙏 Our ask**\n\n* Try our product [**usesuperflow.com**](http://usesuperflow.com) before 31st oct and get 40% off for a year.\n* Share this post with web agencies or freelancers you know build websites.\n\n### **Setup**\n\n**Step 1: Install JS tag on client website in 10 secs.**\n\nYou can just install a JS tag in the footer of the website. \n\n![image.png](https://codahosted.io/docs/TJ6E9cySHQ/blobs/bl-XGbnRxc0Ty/6140d41636b973449d24659aeacab52fd67900c5654c7c113ffc4ad3bf5306eeed19b1162a8b3ccde2cfa635c642722135a4d4a2a87642b35d5f4ec7b6325a88fecd86969d39bd8043dde97a4cf4f9c00515efb075c175855fcb3da704047bd6edbd9efc)\n\n**Step 2: Turn on review mode by adding ?review=true to the URL.**\n\nYou can then turn the review mode on or off on demand by adding **“?review=true”** to the URL. The comments will not be visible to a regular website visitor.\n\n![image.png](https://codahosted.io/docs/TJ6E9cySHQ/blobs/bl-WB9sVT7ZmM/5570471db96e4ea68d9d74f0835939d91e707a467094fd00c51b9eb97542df4a9a84996faeccd683f74aab60fda711f099cf8e9568c42c86c9dd28eef6ef1b80a1ac503d3fb04104fa11b10b749058363a6b3ad58d51f58a20f1483ca8f276fe07d44cfc)\n\n### **🔥 Top features**\n\n**1. Comment on live website, just like Figma:**\n\n![image.png](https://codahosted.io/docs/TJ6E9cySHQ/blobs/bl-NDI5rEj4Ae/8c9caf47c3a53155af4d62231f4d767096816c6d91ba0306fce57e04b642ecb3e5bd70514556c11fb51189d028ea5cb34356c5a0eeff686a40289176667f86af011dd92122307ac44176b1b46c7d7c449652d008714c34e435bc8b41f9fa0bb810973eb3)\n\n**2. Record your screen & camera just like Loom (& attach it to a DOM element).**\n\n![image.png](https://codahosted.io/docs/TJ6E9cySHQ/blobs/bl-JCblThJt6X/57029764bf3d09a31f0a0d1bcaadfac8a927f26b8a63a34ab1236ca4490454ad7c70a081861e6e4b277d5e920e409af0c7a18a6db1be2ac823ba50e3cfc9a5a957bf8ae09430389015c9c72d969ff467cbc01a75320a63735e073d370371dc2d59dc52e9)\n\n**3. Manage tasks across projects in one place.**\n\n![image.png](https://codahosted.io/docs/TJ6E9cySHQ/blobs/bl-eFWGPbIP0M/2e74eaed9a5b399778c9521b9c65a0682fdd12c879322c8dcf4a8ce5e403f5a9b53516680ed1f4b1ad3655c55820b95a233b0a9e074aa9c8fcd4b56fa355607e6648216389a985f7a0a240dd0a55840bbb78b2225e2fea42c0970ace85763b76f8785c7e)\n\n**4. Start live audio/video huddle or screensharing just like Slack.**\n\n![image.png](https://codahosted.io/docs/TJ6E9cySHQ/blobs/bl-XBrG5e-yJd/fa5e98c2123e926dd9f3199da059dbc03e0dfd31c1f25ffdfa582150df6b53b92847bd8a7c005cfdba9c1cdbf0b375e0a757e59679d39f62c465c6a3f0b4936077e41ba5155058db8dae976623f327f1f68288483a1eef47751f1d252e09fb9712d85c8c)\n\n**5. Personalized Slack & email notifications.**\n\n![image.png](https://codahosted.io/docs/TJ6E9cySHQ/blobs/bl-OkDBML4l8F/f1bb3bd394f220a23f2e7b454de8ec767c322dac395eddbffdcf0beece7775d08797d40c89282e889abb5e5915b492b8db98cb12a1847492859dfc18bafa94fd06df75266314f7e71aa5b7a8bcc122e919cbc5f5280aceb9b31c90e13f32a269da77cef5)\n\n**6. Add internal comments for team & external ones for clients.**\n\n![image.png](https://codahosted.io/docs/TJ6E9cySHQ/blobs/bl-ECwdHMSTuh/81021b5d9a38077d7650507ff098d256af6cee5751f22b1c0da8f08b027eb0ef49ba9545316ee9b4ed4d70c17f7e0f98c41d78a7524437b660e213ba2f623b0e01834ef467c04069952f603cc48837e657130abd66a548c3e92ba6a5812574862ec11e5e)\n\n",
        "url": "https://www.ycombinator.com/launches/HP1-superflow-comment-and-collaborate-directly-on-your-product",
        "votes": 14,
        "created_at": "2022-10-25T03:03:03.856Z"
      }
    ]
  },
  {
    "id": 25672,
    "name": "Cogram",
    "slug": "cogram",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9e67ec6dcc40ad110095fd4caf4f77334ee70a01.png",
    "website": "https://cogram.com",
    "all_locations": "New York City, NY, USA",
    "long_description": "The software architects and engineers rely on is decades old, hard to use, and built for a pre-AI world. Since 2021, Cogram is building the alternative: AI-native tools that leading firms use to deliver projects.",
    "one_liner": "The AI Platform for Architects and Engineers",
    "team_size": 15,
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        "full_name": "Amir Tarighat",
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    "name": "Prembly (formerly Identitypass)",
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We understand that building a product/company is incredibly challenging and we want to take as much off your plate as possible.\n\n.\n\n### What problem is User Insights solving?\n\nWhen we first started out a few years ago, all of our customers were other early stage startups.\n\nAs an early stage startup, the first thing you want to do is just get your product live immediately - get your MVP in front of users, get feedback, and hear if you are headed in the right direction or not.\n\nOur role there is pretty straightforward - we need to provide the simplest authentication story possible to help our customers get in front of their users.\n\nHowever, as our customers have grown in both number of MAUs and headcount, we’ve realized that they all tend to shift from “the most important thing is getting in front of people” to “how can we pour fuel on this fire?”\n\nPut differently, it’s not enough to simply get users signed up - you need to know more about them.\n\n.\n\n### What is User Insights?\n\nWith User Insights by PropelAuth, you can quickly get an understanding of:\n\n* Who your power users are\n* Which users and organizations are at risk for churn\n* Where your users are coming from\n* Which of your organizations are growing\n\n.\n\n### 💪 Identifying Power Users\n\nForming relationships with your power users is key to growth. They’re potential advocates, potential logos for your marketing site, and will likely have the best feedback for you about your product experience. Plus… they’re the most willing to pay if they’re not already!\n\n![uploaded image](/media/?type=post&id=77445&key=user_uploads/609048/dc0abe3f-a561-4f33-9e50-aae735e8698b)\n\nIf you’re curious about an individual users usage, we also provide a visualization on their user page, like this user who clearly is a big fan:\n\n![uploaded image](/media/?type=post&id=77445&key=user_uploads/609048/fd4cd0e9-606d-4347-ae5a-3db7277cdc90)\n\nOr this user… who you might want to check in with:\n\n![uploaded image](/media/?type=post&id=77445&key=user_uploads/609048/73f6b3fa-144f-4936-91b5-d75a2d90ea15)\n\n.\n\n### ⚠️ Proactively identifying Churn Risk\n\nSpeaking of proactively checking in with customers, we wanted to make that easier as well.\n\nWhile it’s exciting to see your user count go up, that’s not the end of the work you have to do: you also have to make sure to retain as many of those users as possible.\n\nWith our Churn reports, you can easily see which of your users and organizations haven’t been active in your product for awhile:\n\n![uploaded image](/media/?type=post&id=77445&key=user_uploads/609048/a61c595f-f9ed-4e7e-ab71-0d7fe00d1cd9)\n\nWe also provide re-engagement reports so you can see how your efforts are going to get these users back into your product.\n\n.\n\n### 🔍 Understanding where users came from\n\n![uploaded image](/media/?type=post&id=77445&key=user_uploads/609048/04f77928-72fa-42eb-a877-d66af61e2821)\n\nUnderstanding where your users are coming from is the easiest way to make sure your marketing efforts aren’t going to waste. Now, any URL query parameters that users have on sign up will be stored. You’ll be able to get both an aggregate report (see above) or take a look at a specific user’s profile page:\n\n![uploaded image](/media/?type=post&id=77445&key=user_uploads/609048/3fcb54a2-6c4d-4a72-a7bc-6ba6afb2a3d6)\n\n.\n\n### 📈 See how quickly your customers are expanding\n\nOne of the most exciting moments for any B2B company is watching one of your customers onboard more employees to your product.\n\nAnd keeping an eye on which of your organizations are growing quickly can make it easy to target efforts around upselling. The Organization Growth report lets you see that at a glance:\n\n![uploaded image](/media/?type=post&id=77445&key=user_uploads/609048/1f730d81-6c2c-40d8-83b5-5288eda8a207)\n\nYou can also quickly see which of your users is responsible for growth with the Top Inviters report. We recommend keeping in touch with these users - they’re your biggest advocates!\n\n![uploaded image](/media/?type=post&id=77445&key=user_uploads/609048/a86b1605-0100-43f4-b58b-5c58479162aa)\n\n.\n\n### And more…\n\nThere are also more reports to discover, charts to visualize how you are doing, and stats to see how this month compares to previous months. We’re also working on a few integrations so you can sync this data to your own analytics platform for even deeper analysis.\n\n.\n\n### Our asks\n\n* Ready to set up your B2B auth flow and gain a better understanding of your users? [Sign up for PropelAuth here.](https://www.propelauth.com/?utm_source=launchyc)\n* Want to keep up to date with our product updates? Follow us on [LinkedIn](https://www.linkedin.com/company/propelauth) or [Twitter](https://twitter.com/PropelAuth)!\n* Have an idea/request for something that you didn’t see above? Send us an email at [support@propelauth.com](mailto:support@propelauth.com)\n\nThanks,\n\nThe PropelAuth Team",
        "url": "https://www.ycombinator.com/launches/K97-user-insights-by-propelauth-don-t-just-acquire-your-users-understand-them",
        "votes": 20,
        "created_at": "2024-01-11T18:56:39.083Z"
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    "name": "Spade",
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    "website": "https://www.spade.com",
    "all_locations": "New York City, NY, USA",
    "long_description": "We take messy transaction data and turn it into structured, verified records — with a platform, models, and tooling that help our customers use it everywhere it matters.",
    "one_liner": "Spade is the data and AI platform for modern finance.",
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    "industry": "Fintech",
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    "url": "https://www.ycombinator.com/companies/spade",
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        "full_name": "Oban MacTavish",
        "title": "Founder",
        "founder_bio": "Oban MacTavish is the CEO of Spade. Before starting Spade Oban co-founded Hubly - a vertical SaaS platform for independent RIAs. ",
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        "linkedin_url": "https://www.linkedin.com/in/oban/",
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        "title": "Backend Engineer (Mid/Sr)",
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        "location": "New York, NY",
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        "title": "Finance Lead",
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        "title": "Spade raises $40M for transaction data enrichment",
        "url": "https://www.axios.com/pro/fintech-deals/2026/03/24/spade-40m-bank-transaction-data-tools",
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        "title": "Fintech Spade's Series a Pitch Deck Used to Raise $10 Million",
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    "id": 25973,
    "name": "BelozFi",
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    "long_description": "We are a Y Combinator / Latitud backed financial health focused micro-lending platform in Mexico led by people from companies such as Capital One, Bain, Konfio, DiDi etc. We are hyper focused on making sure our users understand and improve their financial health through their relationship with us. In a very short time, we have achieved significant traction with very good consumer outcomes and unit economics. We have built a solid AI foundation in product development, data science and lending operations that powers our product. Our goal is to build the biggest AI enabled financial health platform in Mexico and eventually LatAm.",
    "one_liner": "Financial health focused micro-lender in Mexico",
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    "city": "Mexico City",
    "country": "MX",
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        "full_name": "Debashish Bhadra",
        "title": "Founder",
        "founder_bio": "Past experience: fintech, VC / IB / PE\nDirector / Head of Credit at Konfio, Mexico City\nSr Mgr Credit at Capital One Bank, Washington DC\nPreviously in venture capital (Ribbit Capital), private equity (Warburg Pincus) and investment banking (J.P. Morgan)",
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        "linkedin_url": "https://www.linkedin.com/in/debashish-bhadra-9b14362a/",
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        "full_name": "Gianfranco Gentille",
        "title": "Founder",
        "founder_bio": "Married with 1 small kid and a dog. Very diverse experience in operations, strategy, product and finance (trading and investments) at DiDi, Bain, Deloitte, BBVA and Central Bank of Peru. Strategist, project manager, entrepreneur excited about starting things out. Building the next grocery inventory procurement B2B ecommerce. ",
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    "id": 25977,
    "name": "yhangry",
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    "long_description": "Yhangry is a private chef marketplace, where you can book a chef whenever you want to socialize at home.\r\n\r\nFor $40pp, you can book a 3-course feast in just a few clicks. On the supply side, we help chefs earn 3 times as much as working in a restaurant.",
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        "full_name": "Heinin Zhang",
        "title": "Founder",
        "founder_bio": "I'm the Co-founder and Co-CEO of yhangry. I grew up in Germany and China and I studied Philosophy and Economics at the London School of Economics, before starting my career on the trading floor at Goldman Sachs. I'm a big foodie and wine-lover but always too busy to cook for my friends, hence yhangry to the rescue. In my free time, I compete my horse in eventing.",
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        "linkedin_url": "https://www.linkedin.com/in/heininzhang/",
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        "full_name": "Siddhi Mittal",
        "title": "Founder",
        "founder_bio": "I'm the Co-Founder and Co CEO of yhangry. I grew up in India, studied Computer Science (Artificial Intelligence) @ Columbia University in New York, and love to solve real-life problems using technology. Before yhangry, I was a credit trader for over six years, running over $700m of credit risk (across mortgages and financial credit). I'm also a (competitive) Bollywood dancer and a major coffee addict that brews her own barista coffee. ",
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        "linkedin_url": "https://www.linkedin.com/in/siddhi-mittal-aa169636/",
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        "title": "Senior Performance Marketer (FT, remote European timezone)",
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    "year_founded": 2021,
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    "country": "GB",
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        "user_id": 920370,
        "full_name": "Abhi Arora",
        "title": "Founder",
        "founder_bio": "Abhi has scaled startups in San Francisco, Berlin, and London. Most recently, he co-founded a video AI startup for media creators. Before that, he was an early employee at Dubsmash and led growth to 300M users (acquired by Reddit). Abhi has a BS from Berkeley and an MBA from Cambridge. \n",
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        "linkedin_url": "https://www.linkedin.com/in/abhishekarora7/",
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        "user_id": 809217,
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        "title": "Arpari – Multibank treasury management",
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        "body": "# [**👋**](https://emojipedia.org/waving-hand) Hi YC,\n\nI’m Alex, founder of [Arpari](https://www.arpari.com/). Over the past 3 years, we’ve been working with commercial real estate finance teams to streamline their bank account data. We’ve built a multibank dashboard to provide a single login to teams working with hundreds of accounts across 10+ banks. \n\n💸 Today we’ve launched **multibank payments**, further reducing the need for teams to log into separate bank portals. Now, teams can fully manage their account inventory, reconcile transactions, and make transfers in a single dashboard.  \n\n🚀 Recently, we have **expanded our focus beyond** real estate to satisfy all entity structures. Whether you are a small finance team with a simple account structure or you deal with hundreds of subsidiaries and entities and the complexity that brings, Arpari makes it easy to streamline your bank-related processes. \n\n# **TL;DR**\n\n* Arpari centralizes account inventory, balances, and transactions across all your accounts, making month-end processes a breeze\n* Our dashboard works with any number of banks and complex entity structures \n* Today, we launched payments so your team just needs to log into a single portal to set up and approve all payments to vendors, investors and anyone else\n* Do you know any finance teams that work with more than one bank? Please introduce us! Email [Alexandra.zwiener@arpari.com](mailto:Alexandra.zwiener@arpari.com) or [book a demo here](https://www.arpari.com/book-demo)\n\n  \n\n# **❌ The Problem**\n\n![uploaded image](/media/?type=post&id=89175&key=user_uploads/859217/57361321-c472-4677-955d-e6feecc21f04)\n\nFinance teams who are responsible for balance reporting and transaction reconciliation often scramble at month end, don’t report at the frequency they’d like, or sacrifice reporting accuracy altogether.   \n\n1. **ACCOUNT INVENTORY**: Using multiple banks can mean liquidity is an unknown, especially for teams who work with many accounts. Bank accounts tracked in Excel—many unnamed or vaguely labeled—makes effective management nearly impossible. Often accounts are missed, and cash misplaced. \n2. **MANAGING ACCESS**: Financial operations are severely hindered by fragmented bank access scattered across multiple team members. Accountants regularly need separate logins, deal with constant lockouts, and navigate multiple security code requests, reducing productivity. Add in payment approval workflows, and you have duplicate, complex permissions to manage across multiple portals. \n3. **DATA NORMALIZATION**: Beyond data access, when teams finally gather transaction data across banks, the data comes through in various formats. Many banks only offer PDF downloads, some banks don’t even provide export.  \n4. **TRANSFER MONITORING**: Teams need to log into multiple portals to monitor pending transactions and approvals. Additionally, when vendor or investor bank details change, they need to update the information across multiple portals.\n\n \n\nTeams who have tried to solve this problem have found treasury software that doesn’t work for multibank users. Incumbent solutions price with bank-by-bank implementation, which doesn’t work for users who have hundreds of accounts across 10+ banks, with their account and bank list constantly in flux. \n\n  \n\n# 👩‍💻  **Our Solution: One login for all finance teams needs**\n\n![uploaded image](/media/?type=post&id=89175&key=user_uploads/859217/7bf3d96a-04c3-4687-b9a6-6d369a929170)\n\n  \n\nWe’ve built a dashboard for finance teams to interact in one place. When teams are doing the same manual tasks 10+ times, why not do them once? \n\n### STABLE CONNECTIONS\n\nWe leverage various connection methods to banks to provide stable, usable data daily to our customers. The account, balance, and activity information is the foundation to all workflows for our customers; unifying this information into a single place gives them back time for month-end reporting, peace of mind, and full transparency of their true cash flow.  \n\n### DASHBOARD CUSTOMIZATION\n\nWe offer added customization to help organize account, balance, and activity data. Our dashboard is built around teams with complex fund and entity structures and prioritizes easy navigation according to how our users think about their bank information. \n\n### SINGLE PORTAL ACCESS\n\nWith payment approval workflows and read-only access, finance teams no longer need to permission non-account signers into bank portals. 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Please share this post! \n* Learn more at [arpari.com](http://arpari.com)\n\n \n\n👉 Contact me at [Alexandra.zwiener@arpari.com](mailto:Alexandra.zwiener@arpari.com)   \n\n![uploaded image](/media/?type=post&id=89175&key=user_uploads/859217/b6f6aded-20b6-408e-bcc9-b11e63c20305)\n\n ",
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        "full_name": "Sammy Sidhu",
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        "full_name": "Jay Chia",
        "title": "Founder",
        "founder_bio": "Jay is based in San Francisco and graduated from Cornell University where he did research in deep learning and computational biology. He has worked in ML Infrastructure across biotech (Freenome) and autonomous driving (Lyft L5), building large-scale data and computing platforms for diverse industries. Jay is originally from Singapore and spent 2 years as a tank commander in the military and then as the head of recruiting at a unicorn Singapore startup.",
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        "url": "https://www.ycombinator.com/companies/eventual/jobs/AeLBWI3-research-engineer-multimodal-data",
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        "date": "Jun 24, 2025"
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        "title": "President Biden’s AI executive order has ‘dangerous limitations,’ says deepfake detection company CEO",
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        "url": "https://techcrunch.com/2023/10/17/reality-defender-raises-15m-to-detect-text-video-and-image-deepfakes/",
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        "tagline": "Medplum makes it fast and easy to build white-label medical apps that look good AND are compliant and integration-ready day one.",
        "body": "Reshma, Cody and Rahul 👋 - Medplum in YC announcement is extra special for us because this fall marks **10 years of YC** for our team.  We were the founding team of [MedXT](https://www.ycombinator.com/companies/medxt) (W13) and I (Reshma) spent 2021 as a [Visiting Group Partner](https://www.ycombinator.com/blog/welcome-w21-visiting-group-partners/) for the W21 and S21 batches.\n\n![uploaded image](/media/?type=post&id=65117&key=user_uploads/57511/44a369bc-67bc-49f9-ab2e-8f58c722e03d)\n\nWe are back and building [Medplum](https://www.medplum.com/)! Why?\n\n**Medical apps are notoriously hard to build and maintain**, largely due to all the stakeholders involved and the byzantine incentive system.  **We were inspired** by trailblazing open source YC companies [Gitlab](https://about.gitlab.com/), [PostHog](https://posthog.com/), [Airbyte](https://airbyte.com/) and [many others](https://www.ycombinator.com/companies/?tags=Open%20Source) who solve similar complex problems in other domains. We believe the open source model will be **especially impactful for healthcare**.\n\nOur ask: use us to build your next medical app!\n\n* Read our [docs](https://docs.medplum.com/)\n* Browse the [code](https://github.com/medplum)\n* A [sample app](https://foomedical.com/), with [source code](https://github.com/medplum/foomedical) \\\n  \\\n  \\- Reshma, Cody and Rahul\n\n![uploaded image](/media/?type=post&id=65117&key=user_uploads/57511/8928e216-9e5c-4b7b-9925-305011d6fa16)\n\n",
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        "skills": []
      },
      {
        "id": 84270,
        "title": "Lead QA Engineer",
        "url": "https://www.ycombinator.com/companies/clinikally/jobs/KZWxqGW-lead-qa-engineer",
        "location": "Gurugram, HR, IN / Gurugram, Haryana, IN",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "QA engineer",
        "salary_range": "₹1M - ₹1.6M INR",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 88703,
        "title": "Senior Social Media Manager ",
        "url": "https://www.ycombinator.com/companies/clinikally/jobs/PI5Z614-senior-social-media-manager",
        "location": "DL, IN / Delhi, IN",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "₹800K - ₹1.5M INR",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 89941,
        "title": "Executive - Accounts Payable (Finance Operations)",
        "url": "https://www.ycombinator.com/companies/clinikally/jobs/Afdy6n8-executive-accounts-payable-finance-operations",
        "location": "Gurugram, HR, IN / Gurugram, Haryana, IN",
        "type": "Full-time",
        "role": "Finance",
        "role_type": null,
        "salary_range": "₹500K - ₹800K INR",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 89943,
        "title": "Business Central Developer",
        "url": "https://www.ycombinator.com/companies/clinikally/jobs/kkk4F90-business-central-developer",
        "location": "Gurugram, HR, IN / Gurugram, Haryana, IN",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "₹600K - ₹900K INR",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 89944,
        "title": "Business Central Functional Consultant",
        "url": "https://www.ycombinator.com/companies/clinikally/jobs/nVsybUv-business-central-functional-consultant",
        "location": "Gurugram, HR, IN / Gurugram, Haryana, IN",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "₹1.2M - ₹1.7M INR",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 96209,
        "title": "Associate Product Manager",
        "url": "https://www.ycombinator.com/companies/clinikally/jobs/rKlJrDo-associate-product-manager",
        "location": "Gurugram, HR, IN / Gurugram, Haryana, IN",
        "type": "Full-time",
        "role": "Product",
        "role_type": null,
        "salary_range": "₹50K - ₹60K INR / monthly",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 97958,
        "title": "Category Executive",
        "url": "https://www.ycombinator.com/companies/clinikally/jobs/6JSahr3-category-executive",
        "location": "Gurugram, HR, IN / Gurugram, Haryana, IN",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "₹35K - ₹45K INR / monthly",
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        "experience": "1+ years",
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        "skills": []
      },
      {
        "id": 99713,
        "title": "New Product Development Specialist",
        "url": "https://www.ycombinator.com/companies/clinikally/jobs/uEMxPCw-new-product-development-specialist",
        "location": "Gurugram, HR, IN / Gurugram, Haryana, IN",
        "type": "Full-time",
        "role": "Science",
        "role_type": "Healthcare",
        "salary_range": "₹600K - ₹800K INR",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 105713,
        "title": "Frontend Engineer",
        "url": "https://www.ycombinator.com/companies/clinikally/jobs/sHSh8zw-frontend-engineer",
        "location": "Gurugram, HR, IN",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Frontend",
        "salary_range": "₹10 - ₹15 INR",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
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          "TypeScript"
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      },
      {
        "id": 105714,
        "title": "DevSecOps Engineer",
        "url": "https://www.ycombinator.com/companies/clinikally/jobs/HIphxS7-devsecops-engineer",
        "location": "Gurugram, HR, IN",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Devops",
        "salary_range": "₹5 - ₹6 INR",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 108155,
        "title": "Legal Intern",
        "url": "https://www.ycombinator.com/companies/clinikally/jobs/ZioGNR4-legal-intern",
        "location": "Gurugram, HR, IN / Gurugram, Haryana, IN",
        "type": "Internship",
        "role": "Legal",
        "role_type": null,
        "salary_range": "₹20K INR / monthly",
        "equity_range": "",
        "experience": null,
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 108158,
        "title": "HR Ops Executive",
        "url": "https://www.ycombinator.com/companies/clinikally/jobs/VSMZ4tZ-hr-ops-executive",
        "location": "Gurugram, HR, IN",
        "type": "Full-time",
        "role": "Recruiting & HR",
        "role_type": "Operations",
        "salary_range": "₹400K - ₹550K INR",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 108914,
        "title": "Social Media Executive",
        "url": "https://www.ycombinator.com/companies/clinikally/jobs/2NNLMJa-social-media-executive",
        "location": "Gurugram, HR, IN",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "₹35K - ₹45K INR / monthly",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 112710,
        "title": "Quality & Training Manager (Customer Support)",
        "url": "https://www.ycombinator.com/companies/clinikally/jobs/CrY6GXA-quality-training-manager-customer-support",
        "location": "Gurugram, HR, IN",
        "type": "Full-time",
        "role": "Support",
        "role_type": null,
        "salary_range": "₹600K - ₹900K INR",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 112743,
        "title": "YouTube Channel Manager",
        "url": "https://www.ycombinator.com/companies/clinikally/jobs/AflArgH-youtube-channel-manager",
        "location": "Gurugram, Haryana, IN",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "₹500K - ₹700K INR",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115547,
        "title": "Consultant Dermatologist – Part-Time",
        "url": "https://www.ycombinator.com/companies/clinikally/jobs/cWrzhzA-consultant-dermatologist-part-time",
        "location": "Gurugram, HR, IN",
        "type": "Full-time",
        "role": "Science",
        "role_type": "Pharmacology",
        "salary_range": "₹80K - ₹90K INR / monthly",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 116354,
        "title": " Teleconsultation Coordinator ",
        "url": "https://www.ycombinator.com/companies/clinikally/jobs/7XY3Zjk-teleconsultation-coordinator",
        "location": "Gurugram, HR, IN / Gurugram, Haryana, IN",
        "type": "Full-time",
        "role": "Support",
        "role_type": null,
        "salary_range": "₹30K - ₹40K INR / monthly",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 116605,
        "title": "E-commerce Manager",
        "url": "https://www.ycombinator.com/companies/clinikally/jobs/JgGiajn-e-commerce-manager",
        "location": "Gurugram, HR, IN / Gurugram, Haryana, IN",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "₹700K - ₹1M INR",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
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    ],
    "news": [
      {
        "title": "Clinically Becomes First Indian Startup Featured by Perplexity with Sonar API Integration",
        "url": "https://digitalterminal.in/startup/clinically-becomes-first-indian-startup-featured-by-perplexity-with-sonar-api-integration",
        "date": "Jul 23, 2025"
      },
      {
        "title": "AI-powered Skin Care: Clinikally Revolutionizes Dermatology with AI Technology, ETRetail",
        "url": "https://retail.economictimes.indiatimes.com/news/health-and-beauty/clinikally-revolutionizes-dermatology-with-ai-technology/122859426",
        "date": "Jul 22, 2025"
      },
      {
        "title": "Clinikally - Perplexity API Platform",
        "url": "https://www.perplexity.ai/api-platform/case-studies/clinikally",
        "date": "Apr 08, 2025"
      },
      {
        "title": "Clinikally raises $2.6 Mn from Y Combinator, Tribe Capital, others",
        "url": "https://entrackr.com/2023/09/clinikally-raises-2-6-mn-from-y-combinator-tribe-capital-and-others/",
        "date": "Sep 28, 2023"
      },
      {
        "title": "Soteri Skin And Clinikally Partner To Launch Into $27 Billion Indian Beauty Market - Daily Retail News",
        "url": "https://retailboss.co/soteri-skin-and-clinikally-india-market-partnership/",
        "date": "May 24, 2023"
      }
    ],
    "launches": [
      {
        "id": 90878,
        "title": "Clara by Clinikally: Your Full-Stack AI Assistant for Skin & Hair Health",
        "tagline": "Meet Clara, the AI dermatologist assistant that helps you analyze concerns, build routines, decode prescriptions, and discover the right products, all in one conversation.",
        "body": "**TL;DR**\n\nOver the last 3 years, Clinikally has helped millions of users make better skin and hair health decisions through its **dermatology-led commerce and care platform**. Clara started as an AI skin analysis product, and today it has evolved into a **full-stack AI assistant for dermatology**; combining analysis, guidance, product discovery, routine building, and prescription support in one experience.\n\n![uploaded image](/media/?type=post&id=90878&key=user_uploads/480320/ca033475-82fe-42d1-a02f-c81449db06f5)\n\n## 🤕 The Problem\n\n**The global challenge:** 3 billion people face skin issues, yet 90% can't access dermatologists due to cost and availability barriers.\n\nSkin and hair care decisions are still fragmented. Users jump between social media advice, search results, product catalogs, prescriptions they don’t fully understand, and doctor visits that are too expensive or too hard to access regularly.\n\n**India's crisis:**\n\n* 1 [dermatologist](https://clinikally.com/products/video-consult-with-a-skin-hair-specialist?utm_source=yc&utm_medium=blog&utm_campaign=290525+yc_launch_post) per 100,000 people\n* Consultations often require long journeys + weeks of waiting + month's skincare budget in fees\n* 70% of Indians live with untreated chronic skin concerns\n\nEven when people know they need help, they usually don’t know where to begin: What is this concern? Which products are right for me? How do I build a routine? What does my prescription actually do? **Clara is built for that exact gap.**\n\n## 💡 Our Solution\n\nClara is your **AI assistant for skin and hair health**. You can start with a face or hair analysis, ask Clara questions in chat, get tailored routines, receive product recommendations, and even upload a prescription to understand what it means and which products match it.\n\nInstead of giving users a static report and leaving them there, Clara helps them move all the way from confusion to clarity to action. That makes Clara useful not just once, but every time someone has a skincare or haircare decision to make.\n\n![uploaded image](/media/?type=post&id=90878&key=user_uploads/480320/9c355c2d-b7dd-4382-a40e-9f99ee36597d)\n\n**What Clara can do:**\n\n* Analyze face and hair concerns with AI-powered flows.\n* Recommend personalized routines based on user concerns.\n* Suggest relevant products with dermatology-backed guidance.\n* Explain prescriptions and match them to useful products.\n* Answer ongoing skin and hair questions in a conversational interface\n\n## 💡 How Clara Works\n\n1. Start with your concern. Scan your face, choose hair/scalp analysis, upload a prescription, or just ask a question in chat.\n2. Clara understands the context and gives you structured guidance instead of generic internet advice.\n3. You get personalized recommendations across routines, products, and next steps.\n4. When needed, Clara can work as the intelligent layer connecting users to Clinikally’s broader dermatology ecosystem.\n\n## **Why this matters**\n\nMost skincare tools do one thing well: analysis, product discovery, or consultation intake. Clara is designed to unify those moments into one assistant experience. The result is a product that feels less like a calculator and more like an always-available dermatologist copilot.\n\nFor users, that means faster decisions and better clarity. For us, it means Clara can become the highest-intent entry point into personalized dermatology journeys across Clinikally.\n\n## **Try Clara**\n\nYou can now use Clara to:\n\n* Analyze your skin or hair\n* Ask dermatology questions\n* Build a customized routine\n* Get product suggestions\n* Upload a prescription for instant guidance\n\n**⭐⭐ Try Clara here:** [clara.clinikally.com](https://clara.clinikally.com) **⭐⭐**\\\n**Open the assistant directly:** [clara.clinikally.com/chat](https://clara.clinikally.com/chat)\n\n**More exciting features are coming**: Scalp scanning and cross-platform mobile apps for our full-stack e-pharmacy and [dermatologist consult](https://clinikally.com/products/video-consult-with-a-skin-hair-specialist?utm_source=yc&utm_medium=blog&utm_campaign=290525+yc_launch_post) platform launching later this year. Stay tuned!\n\n_— Arjun & the Clinikally Team_\n\n## 🚀 Our Ask\n\nWe’d love feedback on where Clara feels most valuable: analysis, routine generation, product guidance, prescription understanding, or conversational support. We’re especially interested in edge cases where users move between multiple needs in one journey, because that is exactly the behavior we are building Clara around.\n\nCheck Clara out at[ ](https://withjanus.com/)[clara.clinikally.com](https://clara.clinikally.com)\n\nEmail us with feedback, thoughts and suggestions at [developers@clinikally.com](mailto:team@withjanus.com)",
        "url": "https://www.ycombinator.com/launches/Ndm-clara-by-clinikally-your-full-stack-ai-assistant-for-skin-hair-health",
        "votes": 76,
        "created_at": "2025-05-30T14:05:32.615Z"
      },
      {
        "id": 65659,
        "title": "Clinikally: India's one-stop Telemedicine Platform & Online Pharmacy for Dermatology Care",
        "tagline": "Multi-condition health platform with Telehealth, AI-powered treatment plans, and Rx-grade products in a single place!",
        "body": "![uploaded image](/media/?type=post&id=65659&key=user_uploads/480320/228dc38a-82d9-4fe0-a4d5-7c71f908272a)\n\n### **What is** [**Clinikally**](https://www.clinikally.com)**?**\n\nA new kind of digital health, Clinikally is India’s one-stop platform for telehealth & doctor-recommended products in Dermatology, Nutrition and Overall Wellness.\n\nWe routinely treat leading indications like eczema, acne, hyperpigmentation, and pattern alopecia across 500 cities in India.\n\n### **How does it work?**\n\n* Connect with a specialty provider in under 30 minutes (next-day appointments available as well)\n* Receive doorstep delivery of a personalized treatment plan\n* Get products from our in-house [online pharmacy](https://www.clinikally.com/collections/all)\n* Your treatment plan will include award-winning, patented solutions like a unique DMS technology-based [moisturising cream](https://www.clinikally.com/products/clinikally-hydrasoothe-moisturiser) and [pigmentation cream](https://www.clinikally.com/products/clinikally-pigment-corrector-cream).\n\nOur virtual care is entirely science-based and personalized to each patient, based on previous prescription history, medical parameters, family history, lifestyle, surroundings and preexisting health issues.\n\n**📈 Milestones**\n\n* 30 months since launch: Over 1,000,000 users across 500 cities\n* 50% users from Tier 2 & 3 cities, where dermatology care & nutrition remains grossly underserved **🇮🇳**\n* 4.75 NPS for Telemedicine 👩‍⚕️👨‍⚕️\n\n**⚡️ The Problem & Our Mission**\n\n300 million Indians face some skin/hair issue, and there is only 1 dermatologist available for every 200,000. While large numbers of patients often visit major dermatology clinics in cities like Delhi, Mumbai and Bengaluru from far and wide, it becomes cost-prohibitive and inconvenient to consistently follow up in-person.\n\nMoreover, the acceleration of digital health driven by COVID lockdowns has further demonstrated to physicians and patients alike that a growing number of derma conditions can be treated through a combination of telehealth and a preset number of dermatologist-recommended products.\n\nWe are democratizing dermatology in India like never before, condition by condition, and shipping solutions that actually work.\n\n👋 **Team**\n\nFounder is a **Stanford CS Grad + Stanford Med Researcher**; Chief Medical Officer is a **Cambridge-trained dermatologist** who runs one of India’s largest dermatology practices; Head of Ops has 15+ years at **Allergan.**\n\nWe are approaching this problem with extensive experience from the multi-faceted angles of digital health, clinical dermatology, and pharma.\n\n**🤝 Quick Ask**\n\n* Follow us on [Instagram](https://www.instagram.com/clinikallyofficial/?hl=en) & [Twitter](https://twitter.com/weareclinikally), where we constantly disseminate highly informational & scientific content.\n* Conditions or products that you’d like us to expand coverage for?\n* Feedback on the [www.clinikally.com](http://www.clinikally.com) UI/UX is always welcome!\n\n**Talk to us** - Interested in working, learning more, researching or collaborating? Email [arjunsoin@clinikally.com](mailto:arjunsoin@clinikally.com) or visit [**www.clinikally.com**](http://www.clinikally.com)",
        "url": "https://www.ycombinator.com/launches/H51-clinikally-india-s-one-stop-telemedicine-platform-online-pharmacy-for-dermatology-care",
        "votes": 675,
        "created_at": "2022-08-27T10:18:25.303Z"
      }
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    "website": "http://www.stream.claims",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "At Stream, we’re on a mission to modernize the insurance industry. Our product—the Stream AI Claims Workbench—uses custom AI agents to turn a constant stream of PDFs into automated workflows and high-value signals. This helps claims teams focus on the human work—getting people the medical treatment they need and the benefits they’re owed—while reducing costs for insurance companies.",
    "one_liner": "The AI Claims Workbench automating insurance claims ",
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    "industry": "Fintech",
    "subindustry": "Fintech -> Insurance",
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    "batch": "Summer 2022",
    "status": "Active",
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/stream",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/stream.json",
    "year_founded": 2022,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/streamclaims/",
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    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [
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    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
    },
    "founders": [
      {
        "user_id": 986387,
        "full_name": "Eilam Levitov",
        "title": "Founder",
        "founder_bio": "Co-founder and CTO of Stream Claims, the AI platform for insurance defense. ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/eilamlevitov",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/03f8cd6b78b61ea29f348cf34437350494e0d99c.jpg"
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    ],
    "jobs": [
      {
        "id": 65425,
        "title": "Staff Software Engineer ",
        "url": "https://www.ycombinator.com/companies/stream/jobs/YHRZT8i-staff-software-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$210K - $265K",
        "equity_range": "0.25% - 0.75%",
        "experience": "6+ years",
        "visa": "Will sponsor",
        "skills": [
          "Amazon Web Services (AWS)",
          "Python",
          "TypeScript",
          "DynamoDB",
          "Machine Learning",
          "Serverless"
        ]
      }
    ],
    "news": [
      {
        "title": "Stream secures $5.3M seed for workers compensation documentation",
        "url": "https://www.axios.com/pro/health-tech-deals/2024/10/09/stream-seed-workers-compensation",
        "date": "Oct 09, 2024"
      }
    ],
    "launches": [
      {
        "id": 65582,
        "title": "Stream ~ modernizing the workers' comp claim process",
        "tagline": "Automating claim adjuster workflows and producing better claim outcomes",
        "body": "Hey there 👋 We’re [@Eric Yen](https://www.linkedin.com/in/yeneric/) & [@Eilam Levitov](https://www.linkedin.com/in/eilamlevitov/) founders of [Stream](https://www.stream.claims/) (S22).\n\n**tl;dr**\n\nThe two of us are insurance and tech veterans innovating in commercial insurance claims. At Stream we automate the high-touch workflows workers’ comp claims adjusters do on a daily basis. Our platform saves adjuster time spent on repetitive tasks like calling and faxing, allowing the adjuster to focus on the high-value claim activities that improve the injured workers’ claim experience and optimize financial outcomes for insurance companies.\n\n**The Problem** 🤕\n\nWorkers’ Compensation (WC) insurance is a government-mandated program that provides benefits to workers who get hurt on the job. When a workplace injury occurs, a claim is filed on behalf of the injured worker. This claim pays out for the wages and medical treatment needed to get the employee back to work.\n\nToday, claim adjudication is a grossly manual process which involves adjusters spending the majority of their day either on the phone tracking down information or entering unstructured notes into legacy systems. The average adjuster handles 140 cases at any single time and takes 5 business days to respond to inquiries from injured workers.\n\nConsequently, the Injured worker is left alone to navigate an unfamiliar and complex claims process. Imagine feeling vulnerable with no clue how your bills will be paid. This pushes injured workers to the brink and inevitably to the front door of their local injury lawyer. In states like CA & FL, over one third of all WC claims are litigated - and the moment an attorney gets involved, that claim balloons 5x in cost.\n\n**\\~ Stream**\n\n![uploaded image](/media/?type=post&id=65582&key=user_uploads/986387/9172c9b2-5a9e-4064-80b6-d180a335c129)\n\nThe two of us met at Next Insurance, where Eric led WC product and Eilam led Risk Engineering. Eric also previously worked at Liberty Mutual as a WC claims adjuster for 5 years. At Next, we realized nothing has changed since Eric’s days as an adjuster and none of the automation we were building for the underwriting side exists in claims management today. That’s why we left to build Stream.\n\n![uploaded image](/media/?type=post&id=65582&key=user_uploads/986387/9c055997-8925-4c23-b75b-7117213d6550)\n\n![uploaded image](/media/?type=post&id=65582&key=user_uploads/986387/b33699f2-0c61-43aa-a3fc-a98ddeca5c3f)\n\nStream saves up to 40% of an adjuster’s time spent on the phone, sending faxes, and manually typing notes into their claim system. Moreover, we also improve the claim experience for the injured worker by providing real-time information such as claim status and financial updates, and help facilitate services such as transportation to doctors offices - all via text.\n\n**Our ask**\n\nKnow anyone working in commercial insurance or with experience in claims processing? We’d love an intro!\n\n\\\nFeel free to reach out to us - [founders@stream.claims](mailto:founders@stream.claims)\n\n\\\nThanks,\n\nEric & Eilam\n\n[www.stream.claims](http://www.stream.claims)",
        "url": "https://www.ycombinator.com/launches/H3m-stream-modernizing-the-workers-comp-claim-process",
        "votes": 34,
        "created_at": "2022-08-23T19:30:31.281Z"
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    "long_description": "Energy demand is skyrocketing, and renewable energy is the most scalable path forward. But today’s development process can’t move fast enough to meet global goals.\r\n\r\nPaces exists to change that. We are building AI agents, software and services to accelerate power and data center deployment and lower costs - unlocking one of the greatest opportunities of our time: transforming how infrastructure gets built and ensuring it’s built with renewable energy.\r\n\r\nPaces automates early-stage due diligence and provides the expertise to accelerate late-stage diligence, fast-tracking projects from siting to construction-ready. Our platform supports renewable energy and data center developers, real estate firms, and more by streamlining siting, interconnection, and permitting. With Paces, teams can de-risk decisions, shorten timelines, and get more renewable energy projects built.",
    "one_liner": "Agentic AI for Power Projects and AI Infrastructure",
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        "full_name": "James McWalter",
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        "founder_bio": "I’m the co-founder and CEO of Paces. Originally from Ireland, previously I was the founder of Hale, a personal training marketplace and held senior roles at Google acquired ML startup Hello Vera, B2B marketplace Respondent and fintech giant FactSet. ",
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        "full_name": "Charles Bai",
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        "tagline": "Paces is software for green infrastructure developers to identify the best places to build and manage their projects",
        "body": "### **The Problem**\n\n[80% of](https://www.canarymedia.com/articles/transmission/lbnls-nationwide-interconnection-survey-has-good-news-and-bad-news-for-clean-energy) clean energy projects **developers** start never actually get built because most projects are started without deep due diligence on zoning and interconnection due to the cost of collecting that data. This means $17B worth of cancelled projects per year.\n\n### **The Solution**\n\nPaces is software for green infrastructure developers to identify the best places to build and manage their projects.\n\nFirst we collect environmental, permitting, zoning, energy grid data from various different sources; then we analyze the data and use AI to identify the best places for developers to build their next projects. \n\n### **Our Vision**\n\nOur long term vision for Paces is for it to be the **go-to software platform to enable the climate positive development of every piece of land on earth**. With Paces:\n\n* Solar developers can find and track all the sites for their projects.\n* EV charging developers can easily get a ranked list of the best nearby sites to deploy their next 20 charging stations\n* Heavy energy users like Data Centers, Direct Air Capture and Hydrogen plants can find locations with excess electricity\n* Financial firms can evaluate the value and risks of green assets around the world\n\n### **About Us**\n\nPaces was founded by Charles and James in early 2022.\n\n* James is our CEO! He grew up on an organic farm in Ireland and across a 15 year tech career he was employee 1 at an Google acquired AI startup and has millions in career SaaS sales.\n* Charles is our CTO! He grew up in Beijing and completed a CS degree at Cornell. Before Paces, he led AI efficiency at Facebook AI and built [metrics to track power/carbon cost of AI models](https://arxiv.org/pdf/2111.00364.pdf).\n\n### **Contact Us**\n\nIf you are building in the physical worlds, such as solar, wind, battery storage, hydrogen, EV charging, real estate and data centers, please reach out to us at [team@paces.com!](mailto:team@paces.com)",
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        "title": "🌟SolStar - Venmo for Discord - The easiest way to send crypto in a community",
        "tagline": "Our tech makes it easy, free, and secure to send crypto to your friends - no wallet required.",
        "body": "Hey YC community! 👋 We’re Ryan and Drew, and we’re building SolStar 🌟\n\nSolStar builds easy-to-use crypto tools for Discord communities. Our first product, SolStar Tip Bot, is like Venmo for Discord: send crypto to your friends with just a few clicks.\n\n![](https://lh6.googleusercontent.com/wIoPpjcf2tmVmuPZyaImGkOiYAZ7lQe8CzbPV8lArJdlQekgqnL8nkvZFru0Gf6PDT2FKH-R3_TNgh-ZEBvgwPmE4MYIP3pLSNe_J0FKMPS5CuDW2irjeyj9UhBrIaABn0okVds-gmfSEKKPCt8ZLsI)\n\n**The problem with crypto**\n\nCrypto is confusing and intimidating, with no clear entry point for beginners. To purchase crypto from scratch, a new user needs to:\n\n* Know what a crypto wallet is\n* Know where to sign up for one\n* Understand KYC and buy crypto on an exchange\n* Transfer from exchange to wallet\n* Manage to not lose their seed phrase\n\nIf these steps confuse you, you’re not alone. It’s even confusing to experts. This is ridiculous, and it leaves out 99.9% of internet users who aren’t heavy technical adopters. \n\n**SolStar makes crypto easy 🌟**\n\nSolStar makes it possible for anyone to use crypto—even your grandpa!\n\nAll you need to get started is a credit card. Skip the confusing steps above and dive in right away with a secure, approachable tool that makes crypto fun. You can add SolStar Tip Bot to your Discord, check your balance, and send a tip to a friend all within a few minutes.\n\nWhen you use SolStar, you’ll get a secure custodial wallet and easy access to your balance on our site.\n\n![](https://lh3.googleusercontent.com/tsVnxrqhqXvhpCffMLIPy_AlF4LSxutr3E2X8kfxEQ8VxrDdNdAae4fq5po1GycpQ5NclXNcsZxPxS04BBY7CAD6xYyGAS1YVFDT-wL7xR8JwHnvXx3fzhP0CSIi8YZNuPp5BVp1BS-w-_AyUvfWtVo)\n\nAnother feature we’re excited about - you can now buy tokens directly in Discord! Make it easy to join your community - no crypto experience required.\n\n![](https://lh4.googleusercontent.com/CWak0ftirYZiVuZrqzSW_gaVtLibcCt2VAqVeHgkX4c14K1dTMJkF3cg_OI56KzVNmD55j-mM9VkBJWypGC7CuLNtjikFmBSCzQ_Q-QpTpok8G-43LAOg4P8be0yqRxOltCzWvQG9HOzcVg-NAJjTg8)\n\nAs an added bonus, you can interact with our Ask an AI tool, which features various personalities, including Antagonistic Viking, Honorable Julius Caesar, or Confused Isaac Newton.\n\n![](https://lh3.googleusercontent.com/IwDm6-BbUGw3_hccj_gJ7CGyOtYOAIrL1iiffZYehQL94uU1w-B_OtvSIQsQhJDfsKayaL_tkHtLxlnUyZhM-xEWTNDTUNzQ73Cxm0j5aOK0EnJ4e6mQEcrTywU1jl7lpstok9QpF2YJiKsKUq_ik8w)\n\n**How It All Began ✨**\n\nWe’re a couple of software engineers who love crypto and gaming. We’ve spent more all-nighters than we can count hanging out in Discord, and we’re big fans of how it’s a user-friendly space to build community.\n\nWe wanted crypto to be more accessible and fun. There’s no better way to onboard people to crypto than to create a simple way for them to start using it in their own communities.\n\nWe wished we had something like SolStar, so we built it ourselves. \n\n**How you can help 💗**\n\n1. If you have a Discord Community, add SolStar for free: <https://solstar.finance/tip-bot-invite> \n2. If you belong to a Discord Community, tell your admin or community manager to check out SolStar: <https://solstar.finance/tip-bot-invite> \n3. Follow us on Twitter to see our dank memes [@SolStarFinance](https://twitter.com/SolStarFinance)\n4. We love feedback! Let us know what you think below or hit us up at [founders@solstar.finance](mailto:founders@solstar.finance) :)\n5. Join our Discord Community and stay updated on our latest features: <https://discord.gg/gMyX7wRRUA> \n6. If you care about making crypto more accessible, we’d appreciate the up-vote!",
        "url": "https://www.ycombinator.com/launches/H3i-solstar-venmo-for-discord-the-easiest-way-to-send-crypto-in-a-community",
        "votes": 50,
        "created_at": "2022-08-23T18:56:28.418Z"
      }
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    "id": 26670,
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    "website": "https://julius.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Julius is an AI workspace that turns ideas and data into finished work. Analyze spreadsheets and files with AI data analysis, turn research and insights into editable slides with the AI presentation maker, or bring ideas to life with the AI website builder, all in one interface.",
    "one_liner": "Build and analyze things with AI",
    "team_size": 10,
    "industry": "B2B",
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    "launched_at": 1662143498,
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    "url": "https://www.ycombinator.com/companies/julius",
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    "year_founded": 2022,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/julius-ai/",
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    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
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    "founders": [
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        "user_id": 235259,
        "full_name": "Rahul Sonwalkar",
        "title": "Founder",
        "founder_bio": "I'm the Founder and CEO of Julius AI. Previously, I worked at Uber on the rider pricing team and at Facebook on the misinformation team. In college, I built and launched Waterview (http://waterview.xyz) and scaled it to 17,000 developers\n\n",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/rahulsonwalkar23",
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        "id": 76881,
        "title": "Growth Marketing Manager",
        "url": "https://www.ycombinator.com/companies/julius/jobs/1pKwFDg-growth-marketing-manager",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$100K - $150K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
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        "id": 93231,
        "title": "Software Engineer - Infrastructure (Mid - Senior)",
        "url": "https://www.ycombinator.com/companies/julius/jobs/8tpSLnb-software-engineer-infrastructure-mid-senior",
        "location": "San Francisco, CA / Remote (US; CA)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Devops",
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        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
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          "Kubernetes",
          "PostgreSQL",
          "Distributed Systems",
          "Docker",
          "Terraform"
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      },
      {
        "id": 93233,
        "title": "Software Engineer - Product (Mid to Senior)",
        "url": "https://www.ycombinator.com/companies/julius/jobs/fBEKQtW-software-engineer-product-mid-to-senior",
        "location": "San Francisco, CA",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
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        "id": 93234,
        "title": "Software Engineer - Product (New Grad)",
        "url": "https://www.ycombinator.com/companies/julius/jobs/mJvspKN-software-engineer-product-new-grad",
        "location": "San Francisco, CA",
        "type": "Full-time",
        "role": "Engineering",
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    "id": 26671,
    "name": "Ciro",
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    "website": "https://www.ciro.io/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Ciro is an AI agent that finds prospects, researches their buying signals, and drafts personalized outreach, all from Slack.\r\n\r\nTell it who you sell to. It finds the right people, figures out why now is the right time to reach out, and writes outreach that sounds like your best rep did 30 minutes of research.\r\n\r\nWelcome to the future of selling.",
    "one_liner": "GTM AI that books you 5-8 meetings/week",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Sales",
    "launched_at": 1656551400,
    "tags": [
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      "Sales",
      "AI"
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    "isHiring": true,
    "nonprofit": false,
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    "status": "Active",
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    "regions": [
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      "America / Canada"
    ],
    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/ciro",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/ciro.json",
    "year_founded": 2022,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/ciro-io/",
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    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
    },
    "founders": [
      {
        "user_id": 928465,
        "full_name": "Ross Geiger",
        "title": "Founder",
        "founder_bio": "Ross is a Co-Founder and President at Ciro. Before starting Ciro with two of his best friends from Brown University, he built the sales function as VP of Sales at a dental software company (YAPI) and implemented S&M technologies while an operating partner at a software investment firm (M33 Growth). Ross holds a BA in Economics and East Asian Studies from Brown University.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/rossgeiger1",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/19d4b31d53628ad9606383b7f863c5bde5fa3b3c.jpg"
      },
      {
        "user_id": 503100,
        "full_name": "Richard Lee",
        "title": "Founder",
        "founder_bio": "Richard is CEO at Ciro. Previously, he was COO at BuildZoom (W13), one of the world's largest marketplaces for remodeling and construction, and a consultant at Bain & Company. He graduated with a degree in Applied Mathematics & Economics from Brown University, and currently is on leave from Stanford's Graduate School of Business.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/zrlee",
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      {
        "user_id": 234378,
        "full_name": "David Winer",
        "title": "Founder",
        "founder_bio": "David is CTO at Ciro. Before starting Ciro, he was a product manager for the Kotlin programming language at Google. Before that, he worked as a software engineer and product manager at various startups and as a management consultant at Bain & Co. He has a bachelor's degree in Applied Math from Brown University, a Master's in Electrical Engineering & Computer Science from Berkeley, and an MBA from Stanford.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/david-winer",
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    "jobs": [
      {
        "id": 72439,
        "title": "Software Engineer",
        "url": "https://www.ycombinator.com/companies/ciro/jobs/c7NK9Eu-software-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$140K - $200K",
        "equity_range": "0.75% - 1.50%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": [
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          "GraphQL",
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    "news": [
      {
        "title": "Ciro Raises $3.8 Million Round from CRV, Y Combinator, and SV Angel",
        "url": "https://www.ciro.io/blog/ciro-raises-3-8-million-round-from-crv-y-combinator-and-sv-angel",
        "date": "Oct 25, 2022"
      },
      {
        "title": "#PowerToTheSalesperson CRV’s Investment in Ciro: Connecting Sales Teams to the Right Small Businesses at the Right Time | by CRV | Team CRV | Oct, 2022 | Medium",
        "url": "https://medium.com/crv-insights/powertothesalesperson-crvs-investment-in-ciro-connecting-sales-teams-to-the-right-small-f61a99dddb57",
        "date": "Oct 25, 2022"
      }
    ],
    "launches": [
      {
        "id": 90130,
        "title": "Ciro - A Prospecting Autopilot for Sales 🚀",
        "tagline": "Build the perfect prospect list in <5 min with AI",
        "body": "**TL;DR:** Ciro’s new Prospecting Autopilot uses AI to build the perfect prospect list — so you don’t have to.\n\n![uploaded image](/media/?type=post&id=90130&key=user_uploads/503100/6de1c5c1-df62-43ec-8866-ae15b658be32)\n\nAfter much tinkering, we built the sales tool we always wanted — an AI agent that can build your lead list for you.\n\n### **Here’s how it works:**\n\n* **First, Ciro scans your website** to learn about your Ideal Customer Profile and the products you sell\n* **Then, it agentically tests multiple search strategies** (combinations of job titles, geography / headcount filters, industries, vector vs. keyword search over the universe of companies) to determine the best way to surface prospects within a universe of 500m+ profiles\n* **Next, it performs the best-performing search**, reviews each profile, and scores them individually to ensure fit with your Ideal Customer Profile\n* **Finally, it enriches contacts with verified emails & mobile numbers** from 15+ sources and dedupes/pushes relevant contacts to your CRM in one click\n\n### **Why we built Autopilot**\n\n* Founders & sales reps need a repeatable way to find decision-makers, without taking hours every day\n* Contractors and virtual assistants cost $$ and can’t keep pace with shifting ICPs\n* Users told us they wanted one button that _thinks_ through the search—and then just does it\n* 👉 Our vision is friction-free prospecting from “Who should I target?” to “Meeting booked” — and we think Ciro Autopilot is a big step toward that future\n\n### **Try it out**\n\n* Create your account on [Ciro](https://ciro.io)\n* Tell us in chat that you came from Launch YC — we’ll send you a bunch of bonus credits to get started!\n\n![uploaded image](/media/?type=post&id=90130&key=user_uploads/503100/c93a8653-90e1-4d70-98c6-d98c6bafdb60)\n\n",
        "url": "https://www.ycombinator.com/launches/NRi-ciro-a-prospecting-autopilot-for-sales",
        "votes": 11,
        "created_at": "2025-05-06T09:26:20.489Z"
      },
      {
        "id": 87107,
        "title": "Ciro - 10x Your Prospecting on LinkedIn Sales Navigator",
        "tagline": "Meet Ciro, your new Autopilot for sales prospecting on LinkedIn",
        "body": "**TL;DR** — LinkedIn has the best data for B2B sales but **zero automation**. Founders and sales reps waste TONS of time manually searching, qualifying, and engaging leads on the platform.\n\nCiro makes prospecting on LinkedIn 10x easier:\n\n* **Ciro Autopilot** scans profiles (in Sales Navigator), qualifies them against your ideal customer profile, and builds a ready-to-contact list in minutes\n* **Ciro Enrich** instantly reveals phone numbers and emails on profiles — whether you’re on a free or paid LinkedIn account (from our network of 13 high-quality data providers)\n\n[Here’s a video](https://youtu.be/z0dYm46MfsM) of me using Ciro & watching Netflix with Ciro’s CEO, Richard.\n\n### **The Problem:**\n\n1. **A huge time commitment.** Sales reps (and Founders!) lose hours each week sifting through Sales Navigator searches, poking around profiles for the right fit\n2. **Hard to filter out unqualified leads.** A great title alone doesn’t always mean they’re a great prospect — context matters, and double checking is a chore\n3. **Zero contact info.** You’ll find the perfect lead, then pay for yet another tool just to get their email or phone\n4. **Expensive integrations + data providers.** Connecting to LinkedIn so you can push to CRM? That’s $1600 annually, per seat. A license to Zoominfo? $10k a year. It adds up!\n\n### **Why We Built Ciro**\n\nLike many YC companies, Ciro’s customers operate on lean budgets but expect high quality output from their sales teams. The only way to bridge that gap is to arm them with great tools. We saw a few common problems:\n\n* **Bottlenecks** **form** when companies rely on humans to parse information — revenue growth is gated on executing manual, repetitive tasks\n* **Many products do too little** (simple browser extensions) or **require** **complicated orchestration** that takes forever to set up\n* **Finding great contact data** is expensive and usually requires several additional subscriptions\n\n### **Our Ask (Try It!) + How It Works**\n\n_(for LinkedIn Sales Navigator subscribers)_\n\n1. **Install** [**Ciro**](https://app.ciro.io/)\n2. Edit the AI-generated Persona & Sales Navigator filters\n3. Click Run! Watch the magic 🪄\n4. Review contacts & enrich with emails + phone numbers\n5. Push contacts directly to your CRM or download CSV\n\nWe’re excited to see how much you’ll accomplish with Ciro Autopilot at your side — and how many more deals you close!\n\n![uploaded image](/media/?type=post&id=87107&key=user_uploads/928465/b390a939-694c-48b6-8276-6a7cf8e1e96d)\n\n",
        "url": "https://www.ycombinator.com/launches/Mex-ciro-10x-your-prospecting-on-linkedin-sales-navigator",
        "votes": 15,
        "created_at": "2025-01-23T19:02:27.063Z"
      },
      {
        "id": 64232,
        "title": "Ciro 🚀 The GTM Platform for companies selling to SMB and Local businesses",
        "tagline": "Ciro helps companies selling to SMB and Local businesses close more revenue by making it easy to find good leads for their business.",
        "body": "### **What’s the Problem?**\n\nIf you run a business selling to an SMB vertical, you’ve probably found it **impossible to** **find rich data on the prospects in your market…** and that existing data solutions are rife with missing records, infrequent updates, and incorrect contact information.\n\n### **What’s the Solution?**\n\nCiro handles prospect list building so you don’t have to.\n\n![uploaded image](/media/?type=post&id=64232&key=user_uploads/928465/3ca9d271-95f9-45da-80ce-a085a8052544)\n\nOur solution combines hundreds of vertical-specific web crawlers that run every day, plus a data ingestion engine that joins dozens of public and proprietary data sources. Through these tools we provide our customers with a complete prospect database, plus vertical-specific “signals” to focus their outreach.\n\nExamples of these “signals” include:\n\n* Changes to a prospect’s **tech stack** (e.g. a doctor’s office uninstalls ZocDoc)\n* **New company formation** (e.g. a newly-registered construction license)\n* **Ownership changes** (e.g. change-of-control updates to company reporting docs)",
        "url": "https://www.ycombinator.com/launches/Gi0-ciro-the-gtm-platform-for-companies-selling-to-smb-and-local-businesses",
        "votes": 31,
        "created_at": "2022-06-30T15:28:24.577Z"
      }
    ]
  },
  {
    "id": 26704,
    "name": "Two Dots",
    "slug": "two-dots",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/06c738449ceac7bc3068c3a0510a285b6078503d.png",
    "website": "https://www.twodots.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We're building an AI consumer underwriting automation agent. ",
    "one_liner": "AI fraud prevention and underwriting agent",
    "team_size": 28,
    "industry": "Fintech",
    "subindustry": "Fintech -> Consumer Finance",
    "launched_at": 1652906962,
    "tags": [
      "Fintech",
      "Real Estate",
      "B2B",
      "AI",
      "ML"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2022",
    "status": "Active",
    "industries": [
      "Fintech",
      "Consumer Finance"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Growth",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": [
      {
        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "Max and I have known each other since we were best friends at a middle school for gifted children in the Bay Area.After a four-year stint in the Foreign Exchange trading group covering Hedge Funds at Goldman, I spent two years as the fourth employee selling software to property managers. That experience taught me that every property manager’s biggest problem in their business was leasing, and no one had solved it. I called my old friend Max, who was working on the search team at Google, and asked him for advice on solving income verification for rentals. He responded that he had spent years working on this problem in the Mortgage space for Blend (now public), and that the transformers AI revolution finally made an end-to-end solution possible.Max resigned from Google a few months later, and we were working on Two Dots. Still hard to believe the serendipity sometimes."
      }
    ],
    "url": "https://www.ycombinator.com/companies/two-dots",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/two-dots.json",
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    "long_description": "Tailor is the headless ERP that gives fast-growing retail brands a composable, API-first platform to run operations with speed, flexibility, and control.\r\n\r\n🧱 Legacy ERP is too rigid: Systems like NetSuite and SAP take months (or years) to implement and break with every change. Tailor is modular, headless, and easy to adapt.\r\n🧩 Point solutions don’t scale: Tools like inventory or order management software solve one problem, but can’t talk to each other or keep up with growth.\r\n📊 Spreadsheets are everywhere: From demand planning to purchase orders, even $100M+ brands still rely on Excel. Tailor replaces duct-taped workflows with ops modules you can tweak, combine, or scale\r\n⚡️ Complex workflows need custom logic: Whether it's multi-location inventory, DTC + B2B orders, or light manufacturing (like kitting or lot tracking), Tailor supports flexible automations out of the box.\r\n👟 Operators can move faster: Launch backend modules in minutes, not months. Tailor's low-code tools let teams build, automate, and adapt without waiting on engineering or implementation agencies.\r\n\r\n\r\nBuilt for composable retail:\r\n- Headless backend with GraphQL APIs\r\n- 50+ integrations (Shopify, QuickBooks, 3PLs, etc.)\r\n- Custom automations via Pipelines, Functions, and Event Triggers\r\n- State machines for approvals and multi-step workflows\r\n- AI features like OCR and vector search built in\r\n\r\nTailor is already powering operations at fast-growing omnichannel brands and modern manufacturers.\r\nWe’re proud to be the first Japan-based company to join Y Combinator. \r\n\r\nLearn more at [tailor.tech](https://www.tailor.tech)\r\n",
    "one_liner": "Headless ERP for retail operations",
    "team_size": 40,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1654046243,
    "tags": [
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    "url": "https://www.ycombinator.com/companies/tailor",
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    "city": "Tokyo",
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    "linkedin_url": "https://www.linkedin.com/company/76263236/",
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    "cb_url": "https://www.crunchbase.com/organization/tailor-a768",
    "github_url": "https://github.com/tailor-platform",
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    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
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    "founders": [
      {
        "user_id": 965414,
        "full_name": "Yo Shibata",
        "title": "Founder",
        "founder_bio": "Yo Shibata is co-founder/CEO of Tailor. Previously, Yo founded Smapo (Acquired by Rakuten, RetailTech), Shoppi (Acquired by IMJ, mobile app),  co-founded Funds (FinTech), and Watashikampo (HealthTech). Prior to being a serial entrepreneur, he worked for McKinsey.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/yo-shibata-12742621/",
        "x_url": "https://twitter.com/yoyoshibata",
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      },
      {
        "user_id": 1013665,
        "full_name": "Misato Takahashi",
        "title": "Founder",
        "founder_bio": "Co-founder/CTO of Tailor, previously co-founder/CTO of Speee (TSE IPO in 2020), CTO of Spotlight (Acquired by Rakuten), engineer at Rakuten and GREE, and head of R4D, a research institute at Mercari.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/mistat/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4e3b88574477d4937352052125fd54dd174acafa.jpg"
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    ],
    "jobs": [
      {
        "id": 93457,
        "title": "Senior Bilingual Software Engineer (English/Japanese) – West Coast (U.S.)",
        "url": "https://www.ycombinator.com/companies/tailor/jobs/BFTH1SA-senior-bilingual-software-engineer-english-japanese-west-coast-u-s",
        "location": "US / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $200K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 99383,
        "title": "Full-Stack Software Engineer (Remote, US West Timezone Overlap)",
        "url": "https://www.ycombinator.com/companies/tailor/jobs/ab7OqFM-full-stack-software-engineer-remote-us-west-timezone-overlap",
        "location": "Remote (US)",
        "type": "Full-time",
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        "experience": "3+ years",
        "visa": "US citizen/visa only",
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      },
      {
        "id": 111460,
        "title": "Associate Forward-Deployed Product Manager",
        "url": "https://www.ycombinator.com/companies/tailor/jobs/E8miCF1-associate-forward-deployed-product-manager",
        "location": "US / Remote (US)",
        "type": "Full-time",
        "role": "Product",
        "role_type": null,
        "salary_range": "$100K - $130K",
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        "experience": "3+ years",
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    "news": [
      {
        "title": "Y Combinator, Global Brain back Tailor, a Japanese headless ERP startup • TechCrunch",
        "url": "https://techcrunch.com/2022/09/05/y-combinator-global-brain-back-tailor-a-japanese-headless-erp-startup/",
        "date": "Sep 05, 2022"
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    ],
    "launches": [
      {
        "id": 91217,
        "title": "Tailor Omakase: Curated, Headless ERP for Fast-Growing Retail Brands",
        "tagline": "🛍️We help fast-growing retail brands replace rigid legacy systems, brittle point solutions and spreadsheet hell",
        "body": "Hello YC from Yo, Misato, and the team at Tailor 👋 We built Tailor as the headless ERP to replace monolithic, legacy tools — and today we’re launching Tailor Omakase. \n\n# **TL;DR**\n\nTailor Omakase is an opinionated, lightning-fast “ERP lite” for retail operators tired of rigid legacy systems, brittle point solutions and spreadsheet hell. \n\nSee how it works in this demo: [**https://youtu.be/tzSZw3MEIk0?feature=shared**](https://youtu.be/tzSZw3MEIk0?feature=shared)\n\n### **❌ The Problem: Retail ops software is stuck in the 90s**\n\nLegacy ERP software (think Netsuite and SAP) is rigid, monolithic, and difficult to implement and customize. This hits **retail operations** especially hard because of the industry’s unique operational makeup of supply chains, online marketplaces, and varying sales channels. \n\n![uploaded image](/media/?type=post&id=91217&key=user_uploads/965414/c28e51ee-4b3f-4f22-80b3-8ac011720893)\n\nRetail operators basically must choose between:\n\n* **Legacy ERP**: Bulky, monolithic systems that take several months or years to implement.\n* **Point solutions that don’t scale**: Tools for inventory, order management, or light manufacturing can solve short-term pain but aren’t API-first and break easily ops need to scale.\n* **Spreadsheets or homegrown**: Even fast-growing brands run core ops on Google Sheets, Airtable, or in-house tools held together by duct tape.\n\n \n\n### **✅ The Solution: Tailor Omakase**\n\n**Tailor Omakase** is a curated, customizable ERP lite built for fast-growing retail brands. It helps operations teams manage purchasing, inventory, and orders across DTC, wholesale, and 3PL — without needing a full-time ERP admin, multi-year contracts, or expensive agency support.\n\n[Product Demo](https://youtu.be/tzSZw3MEIk0)\n\n🟣 **Fast to deploy:** Launch your first module in weeks — not months or years — with preconfigured views for purchasing, inventory, and order workflows \n\n🟣 **API-first & low-code:** Seamlessly integrate with any tool like Shopify or ShipStation, or easily build custom modules.\n\n🟣 **Flexible**: Don’t change your operations to accommodate your software. Whether you're juggling DTC + wholesale orders or creating products in-house, Tailor’s modular and headless architecture adapts to you.\n\n🟣 **Modern UI**: An intuitive frontend that ops teams love to use, plus the flexibility to ship beautiful customer-facing experiences \n\n**HubSpot** filled a gap for SMBs who couldn’t compete with **marketing** from enterprise giants using enterprise tools and budgets. **Tailor Omakase** does the same for **retail and ecommerce brands** when it comes to **operations**.\n\n### **🔧 What’s under the hood**\n\nTailor Omakase runs on the same powerful [platform](https://www.tailor.tech/platform) we use to build internal tools and custom workflows for global enterprises.\n\n* **Instant CRUD APIs**: Generate GraphQL/REST APIs from schema definitions in seconds, complete with validation, filtering, pagination, and relationships.\n* **Composable backend**: Launch headless apps with custom logic, workflows, and event triggers without writing boilerplate code.\n* **50+ pre-built integrations**: Seamlessly connect to Shopify, QuickBooks, 3PLs, and more using Tailor’s API-first architecture.\n* **Automation-ready**: Use Pipelines, Functions, and Event Triggers to automate business logic and cross-system workflows.\n* **State machine support**: Handle complex approval flows and record-level transitions using schema-defined states.\n* **AI-native tools**: Enable vector search, parse documents with OCR, and integrate LLMs from OpenAI, Anthropic, or open-source models like Llama.\n* **_Coming soon —_** **_Fabrix_**: Auto-generate UI components from GraphQL schemas using Tailor’s open-source framework, Fabrix\n\n### **🏅 Our early customers**\n\n* A strategic textile supplier to a $20B+ global clothing retailer\n* A Japan-based hospitality company generating nearly $1B in annual revenue\n* A custom jewelry company growing sales across Shopify, Pinterest, Etsy, TikTok and Amazon\n\n### **🙏 Asks**\n\nKnow a **retail brand** trying to scale operations and growth? Send them our way at [yo@tailor.tech](mailto:yo@tailor.tech) or [patrick@tailor.tech](mailto:patrick@tailor.tech), share this post or book a demo [here](https://www.tailor.tech/demo)!\n\n🎁 We’re offering Tailor Omakase **free for the first year** (core modules) to any company that mentions they heard about us from YC.\n\nTailor Omakase is especially helpful for:\n\n* Companies **managing inventory** and orders in spreadsheets or Airtable\n* **Shopify** stores selling both DTC and wholesale/B2B\n* **Light manufacturing** or **kitting** **operations** (think skincare, make-up, customizable apparel/jewelry, made-to-order products)\n* Teams using **QuickBooks** that need better financial visibility into COGS, PO, or inventory",
        "url": "https://www.ycombinator.com/launches/NjF-tailor-omakase-curated-headless-erp-for-fast-growing-retail-brands",
        "votes": 28,
        "created_at": "2025-06-11T14:07:08.560Z"
      }
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  },
  {
    "id": 26712,
    "name": "Bunting Labs",
    "slug": "bunting-labs",
    "former_names": [
      "Bunting Labs",
      "Atonomo",
      "CodeCanary"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/56779177435211428fc3b60658c5b05d7288f710.png",
    "website": "https://buntinglabs.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Bunting Labs researches and develops custom AI models for surveying and GIS.",
    "one_liner": "AI Models for GIS",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1659469853,
    "tags": [
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      "Geographic Information System",
      "B2B",
      "Web Development",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2022",
    "status": "Active",
    "industries": [
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/bunting-labs",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/bunting-labs.json",
    "year_founded": 2022,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/code-canary/",
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    "founders": [
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        "user_id": 786838,
        "full_name": "Michael Egan",
        "title": "Founder",
        "founder_bio": "Co-founder of Bunting Labs, training custom AI models for GIS",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/michael-egan-4941a4145/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/de1f5ca9527b98ffd46f3831e344b731c5337b55.jpg"
      },
      {
        "user_id": 572884,
        "full_name": "Brendan Ashworth",
        "title": "Founder",
        "founder_bio": "Brendan studied physics + AI at MIT ('22). Previously: Software @ IBM, Minio, Node.js core team.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/brendanashworth/",
        "x_url": "https://twitter.com/normconstant",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8f2b36903c21cccc6596ffebc13cc0dfc1a6b12f.jpg"
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    ],
    "jobs": [
      {
        "id": 102299,
        "title": "GIS Technician ",
        "url": "https://www.ycombinator.com/companies/bunting-labs/jobs/4LB2UmX-gis-technician",
        "location": "Remote",
        "type": "Contract",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$10K - $40K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
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    "launches": [
      {
        "id": 99155,
        "title": "CodeCanary 🐤 Your AI Product Engineer",
        "tagline": "CodeCanary uses session replays to fix bugs, boost conversion, monitor leads and customers, and answer any question.",
        "body": "CodeCanary connects coding agents to your product analytics to find and fix bugs, improve conversion, track leads and customers, and answer anything about your product. CodeCanary runs autonomously and lives in Slack. \n\n![uploaded image](/media/?type=post&id=99155&key=user_uploads/786838/893e9400-0075-43e6-ae0b-f3fc42a3d1a6)\n\n# Problem\n\nYour product analytics are a rich source of information, but it’s hard to always be getting the most out of them. There are not enough hours in the day to watch every session replay, catch every bug your users face, and always be running experiments on your bottlenecks. \n\n# Solution\n\nCodeCanary is [always watching your product](https://www.codecanary.ai/blog/watching-session-replays-with-ai) to see where it can help. For example, CodeCanary:\n\n1\\. Spots users who interact with bugs, looks through your code for the cause, and submits a PR with a fix. It also can tell you who was impacted.\n\n\\\n2. Identifies conversion bottlenecks, creates A/B experiments, and submits the variant as a PR. CodeCanary can also run low-risk experiments on autopilot directly on your website without any human oversight, as desired.\n\n3\\. Tracks and reports back on high value prospects, however you define them.\n\n\\\n4. Answers any other questions you might have about your users and how they interact with your product (e.g. \"in the reduce landing page interactivity experiment can you please break down the demo booked results by device type?\").\n\n# Try CodeCanary\n\nYou can sign up for CodeCanary here! <https://www.codecanary.ai> \n\n![uploaded image](/media/?type=post&id=99155&key=user_uploads/786838/424e65f8-a2a4-4871-b442-75d9f2b3ecbf)\n\n",
        "url": "https://www.ycombinator.com/launches/PnH-codecanary-your-ai-product-engineer",
        "votes": 8,
        "created_at": "2026-03-28T16:11:44.647Z"
      },
      {
        "id": 91491,
        "title": "Mundi 🗺️ The Open Source GIS Built for AI",
        "tagline": "Mundi is the first GIS designed for users to collaborate with an AI agent",
        "body": "# Mundi, the first open source, AI-native GIS\n\nMundi is an open source web GIS built to help people use LLMs in their geospatial work. In Mundi, you collaborate with Kue, our AI GIS agent, to edit your map, rather than physically interacting with tools as you would in a legacy GIS.\n\n![uploaded image](/media/?type=post&id=91491&key=user_uploads/786838/49388e35-2edf-4711-8aa7-f22aed832b08)\n\n# Here’s how Mundi is bringing AI to GIS:\n\n**Mundi makes PostGIS much more accessible 📂** \\\n\\\nWhen you connect a PostGIS database to your project, Kue digests it and builds you a wiki to better understand its contents and how everything relates together. Then, if you want to add some data, all you have to do is tell Kue what data you want and it will figure out what is best and add it to your project.\n\n![uploaded image](/media/?type=post&id=91491&key=user_uploads/786838/585270c1-b025-4ebf-953d-09a0aef2417f)\n\n\\\n**You can run QGIS geoprocessing in the cloud ⚙️**\\\n\\\nKue has access to all of the QGIS geoprocessing algorithms so you get the power of a desktop GIS with the power of cloud processing. All you have to do is tell Kue what you want done with your data and it will pick the right geoprocessing algorithm, run it, and give you the output. And, because it’s run in the cloud, it’s much faster and does not need a powerful computer.\\\n\\\n**Mundi can edit symbology for you 🎨** \\\n\\\nKue has the ability to change the symbology of your data in any way you want. If you have a specific request, it can handle it for you. Or, if you want Kue to decide how a layer should be styled, we’ve given it the ability to “see” symbology and iterate on what to improve. So, if you have a drought layer, Kue can understand that it should be a red gradient, see how it’s styled, and make improvements until Kue is satisfied.\n\n![uploaded image](/media/?type=post&id=91491&key=user_uploads/786838/7074999f-e6f5-42f0-9516-b5d07e176e94)\n\n**You can work with your whole team on Mundi 🤝** \\\n\\\nWe’re building Mundi to allow you to edit maps with your whole team and send viewable links to anyone who wants to see it. Since we built Mundi to make it easier for anyone to make maps, we wanted to make it easy for all these new mappers to work together.\n\n**We’ve made it open source 🐧** \\\n\\\nIn addition to hosted Mundi, we’re launching an open source version. If you want to try out AI locally or change Mundi to your exact needs (an exciting trend we saw at the QGIS user conference), we wanted to be sure that this was an option.\n\n### How to try mundi:\n\nYou can sign up for Mundi at [app.mundi.ai](http://app.mundi.ai) and read the docs at [docs.mundi.ai](http://docs.mundi.ai)!\n\nIf you want to see the open source version, you can find it here: https://github.com/BuntingLabs/mundi.ai",
        "url": "https://www.ycombinator.com/launches/Nnf-mundi-the-open-source-gis-built-for-ai",
        "votes": 10,
        "created_at": "2025-06-21T01:04:41.033Z"
      },
      {
        "id": 65769,
        "title": "Bunting Labs 🐦 No-code geospatial data pipelines",
        "tagline": "Meet Bunting, the easiest way to work with geospatial data",
        "body": "**TL;DR Bunting helps developers import, store, and analyze geospatial data. We replace months of writing Python scripts with our drag-and-drop data importer.**\n\nHi everyone! [Brendan](https://www.linkedin.com/in/brendanashworth/) and [Michael](https://www.linkedin.com/in/michael-egan-4941a4145/) here to introduce [Bunting Labs](https://buntinglabs.com).\n\n🗺 **Problem**\n\nIf you want to implement spatial data into your software, you need to use a spatial database. But, because spatial data is heterogenous, creating the ETL scripts, cloud infrastructure, and analysis pipelines to use it takes months—something we saw ourselves.\n\nWe spent a year trying to analyze real estate with AI, and the first three months were dedicated to building these data pipelines. We realized every company that wants to use spatial databases suffers from the same problems.\n\n**🔧 Solution**\n\nWe handle the pipeline and the database for you. Behind the scenes we do all the leg work to work with spatial data so you can focus on building your product. For example, we automatically [convert addresses in CSVs into a PostGIS table via geocoding](https://buntinglabs.com/flows/import-csv-geocode-into-postgis). Here’s how managing spatial data on bunting would look like for you:\n\n1. Upload any data file, and we’ll automatically recognize how it relates to the Earth. We currently support [KML](https://buntinglabs.com/flows/import-csv-geocode-into-postgis), [CSV](https://buntinglabs.com/flows/import-csv-geocode-into-postgis), [GeoJSON](https://buntinglabs.com/flows/importing-geojson-files-into-postgis), [GeoPackage](https://buntinglabs.com/flows/upload-geopackage-contents-to-postgis), and [Excel](https://buntinglabs.com/flows/load-excel-file-into-postgis).\n2. We’ll save it to a managed PostGIS instance (on Amazon RDS) and give you SELECT permissions to your tables.\n\n![uploaded image](/media/?type=post&id=65769&key=user_uploads/786838/6daa1005-b597-472c-90ad-b16067886c47)\n\nComing soon: low-code spatial analysis tool and purpose-built spatial data labeling. Everything you need to build an app with spatial data.\n\n**👉 Ask**\n\nDo you work with spatial data and are willing to share your experiences? Shoot us an email at [founders@buntinglabs.com](mailto:founders@buntinglabs.com), we would love to talk.\n\nDo you work at a company that is working on implementing or wants to implement any spatial features? Email us at [founders@buntinglabs.com](mailto:founders@buntinglabs.com), we would love to work with you to do whatever it takes to make your vision a reality!\n\n**💻 Open Source**\n\nBunting is built on open source and sponsors development of [mundipy, a Python framework for geospatial data](https://docs.mundi.ai/).",
        "url": "https://www.ycombinator.com/launches/H6n-bunting-labs-no-code-geospatial-data-pipelines",
        "votes": 62,
        "created_at": "2022-09-01T14:38:28.498Z"
      }
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  {
    "id": 26713,
    "name": "Pasito",
    "slug": "pasito",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/99d6144bd15df315cd76d735be86467d893d772a.png",
    "website": "https://pasito.ai",
    "all_locations": "New York City, NY, USA; Remote",
    "long_description": "Pasito builds AI agents for insurance and benefits—transforming how benefits are built, delivered, and experienced.\r\n\r\nOur Core AI ingests and understands plan documents and employee census data to build structured benefit intelligence.\r\n\r\nOur Engagement AI Agents orchestrate complex workflows—powering decision support, plan comparisons, guides, highlight sheets, microsites, communications, claims reminders, RFP management, document audits, translations, and more—all from a single intelligent database.\r\n\r\nWith Pasito, carriers, brokers, and benefits vendors eliminate manual work, accelerate growth, and deliver the personalized benefits experiences employees deserve—all powered by compliant, scalable AI systems.\r\n\r\nBacked by Y Combinator, Core Innovation Capital, and other leading investors.",
    "one_liner": "AI agents for insurance and benefits",
    "team_size": 20,
    "industry": "Fintech",
    "subindustry": "Fintech -> Insurance",
    "launched_at": 1657142710,
    "tags": [
      "Health Tech",
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        "full_name": "Pauline Roteta",
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      {
        "id": 65910,
        "title": "Pasito - Saving companies and employees money on healthcare and payroll",
        "tagline": "We integrate payroll, financial, and claims data to optimize employee benefits coverage and utilization",
        "body": "**_Tl;dr:_** _Pasito uses personal health, payroll, and financial data to guide employees to elect and use their health and voluntary benefits. For companies, we drastically cut avoidable healthcare and payroll spending. For employees, we provide personalized guidance on their healthcare and benefits and save them time and money._ [_Connect with Pasito today._](https://joinpasito.com/)\n\n\\\nHi everyone, we are Pauline, Ignacio, and Julie and we're on a mission to improve financial and health outcomes for individuals and their families through smarter employee benefits elections and engagement.\n\n![](https://lh3.googleusercontent.com/7giIUNKO13jrLMyDx0uPrK4RUw-1oydIUD2hU9OKBjnmzA3uzPgvNQwBbwHEcanedgG8yBM3p_dO6c9USZ6rEfo6IipFoTHz0c1dL1hSu2tKXyxXL38uLZlB_q8q8aa_1rGz8Ks5say1sNxvJGsJOfkoyePM4h7xfJXO9bY6ZxoisJ7o065yFKY6ng)\n\n### **🧨 The Problem: Health and wealth benefits are a maze**\n\nEmployees blindly select their health and wealth benefits which means employees are often over-insured while under-saving for retirement. \n\nTake our client Sarah as an example. Sarah elects her company’s PPO health plan because she isn’t sure which option to choose. Based on her family’s income and health data, Sarah could have saved over $2,000 by electing and using an HSA-eligible health plan. These savings could have gone to paying for medical expenses, paying down debt, or saving for retirement.\n\nSince Sarah’s company pays 80% of health insurance premiums, they have also overspent $3,000+. \n\n### 🎉 **The Solution: Personalized benefits selection and engagement at scale**\n\nPasito saves companies money on healthcare and payroll by guiding their employees to make better and more efficient health and retirement benefits decisions. Our webapp uses company and personal data to optimize benefits coverage and help employees use their benefits year-round including: \n\n💼 Payroll data \n\n❤️ Health data \n\n🪙 Financial data \n\n👱🏽 Family data \n\n🏢 Benefits data \n\n![](https://lh4.googleusercontent.com/030tk1g9d968V-120hXBe5m-jxZMg2LhKWbhIU7CpTjlr_liNMDTlpgYYk0ehI7u2RSS2Wb8vpT_LAetNf1xRUMT5W9RQ1FIH69eTw21Uf87dEBGqVsG3veqIy7X6E7emdnCUaO71M2Wh41Dvc05bkU)\n\nUsing Pasito, **employees**: \n\n✔️ Save $2,000+ on average \n\n✔️ Finallyyyy understand how to use their benefits \n\nAnd **companies**: \n\n✔️ Save thousands (if not millions) of dollars on premiums, healthcare expenses, and payroll taxes \n\n✔️ Show the value of their full benefits package to employees and candidates\n\n✔️ Reduce the personal questions received from employees \n\n### \n\n### 💲**Opportunity: The thrilling scope and impact of our market**\n\nThere are 300 Sarahs in every company of 1,000 employees. That’s almost $1m in wasted health and benefits spend for Sarah’s company. \n\nAcross the US there are 48 million Sarahs and a mind-shattering $200+ billion is wasted each year from poor health insurance and benefits elections. This capital could instead be invested to deliver better financial and health outcomes, and to reduce the $190+ billion in US medical debt. \n\n \n\n### **👋** **Ask: How you can help**\n\n* Connect us to CFOs and HR leaders in your network. [Click here](mailto:pauline@joinpasito.com?subject=Connecting%20you%20to%20Pauline%20at%20Pasito). \n* Connect us to your insurance broker. [Click here](mailto:pauline@joinpasito.com?subject=Connecting%20you%20to%20Pauline%20at%20Pasito). \n* Give us product feedback as an employee user. Book a [15 minute demo here](https://calendly.com/juliescotland/15-minutes-pasito-demo-launch-yc?from=slack).",
        "url": "https://www.ycombinator.com/launches/H94-pasito-saving-companies-and-employees-money-on-healthcare-and-payroll",
        "votes": 274,
        "created_at": "2022-09-07T20:23:52.636Z"
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        "full_name": "Nikolay Kobyshev",
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        "title": "Cerrion raises $18M for factory intelligence platform",
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        "date": "Nov 25, 2025"
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        "title": "Y Combinator-backed Cerrion raises $5 million in funding to boost AI Video tech in manufacturing - Tech.eu",
        "url": "https://tech.eu/2024/09/11/y-combinator-backed-cerrion-raises-5-million-in-funding-to-boost-ai-video-tech-in-manufacturing/",
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        "title": "Cerrion ⚡️ Computer Vision to automatically detect problems on production lines",
        "tagline": "Cerrion helps manufacturers automatically detect problems on their production lines using Computer Vision.",
        "body": "Hi everyone 👋 we are Karim, Nikolay and Michael, co-founders of [Cerrion](https://cerrion.com).\\\n\\\nWe help production teams understand when, where and why losses are happening on their production lines. Enabling them to act on problems faster, implement targeted improvement actions and understand the root cause of problems in a matter of minutes.\n\n**The problem: Production teams today struggle to track and eliminate deviations on their production lines**\n\nLack of transparency leads to around $1 trillion in annual preventable losses for the global manufacturing industry. Production teams today struggle to understand when losses on their production lines will happen and why they happen. To stay on top of your production a lot of trained and experienced eyes are needed. Given that today there is a 40% labor shortage in the US manufacturing industry alone, it is now more important than ever to help the existing workforce eliminate deviations on their production lines\n\n**The solution: Automatically monitor production lines for deviations**\n\nOur plug and play visual AI learns how a manufacturing process looks when things are going well and can automatically detect and track problems in real-time. This:\n\n\\- Eliminates the need for human monitoring;\\\n\\-Allows to detect subtle issues on the production line  before they become big;\\\n\\-Facilitates root cause analysis remotely and in a matter of minutes.\n\n![uploaded image](/media/?type=post&id=65196&key=user_uploads/1001364/919f2fc1-c895-4acd-ad72-16c22c3d17fc)\n\nOur AI in action ^\n\n**Can I deploy Cerrion in my production?**\\\nYes! Cerrion is already deployed in 4 countries and we are expanding. You can reach me at [karim@cerrion.com](mailto:karim@cerrion.com) to make it happen.",
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    "name": "TrueBiz",
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    "industry": "B2B",
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    "country": "US",
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      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
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        "user_id": 156422,
        "full_name": "Danny Hakimian",
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        "title": "Senior Software Engineer, Core Team",
        "url": "https://www.ycombinator.com/companies/truebiz/jobs/XkFCIG0-senior-software-engineer-core-team",
        "location": "Remote (US)",
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        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$125K - $180K",
        "equity_range": "0.10% - 0.25%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
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        "title": "Head of Sales",
        "url": "https://www.ycombinator.com/companies/truebiz/jobs/t99tSBy-head-of-sales",
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        "title": "Growth Lead, Enterprise Outbound",
        "url": "https://www.ycombinator.com/companies/truebiz/jobs/4H4zIAD-growth-lead-enterprise-outbound",
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        "title": "SDR Manager, Enterprise Outbound",
        "url": "https://www.ycombinator.com/companies/truebiz/jobs/zM0fBqy-sdr-manager-enterprise-outbound",
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        "title": "TrueBiz aims to help financial services providers onboard business customers faster, avoid fraud • TechCrunch",
        "url": "https://techcrunch.com/2023/01/31/yc-alum-truebiz-raises-2-4m-to-help-financial-services-providers-onboard-business-customers-faster-avoid-fraud/",
        "date": "Jan 31, 2023"
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        "id": 64085,
        "title": "TrueBiz - Reduce Dropout During KYB",
        "tagline": "TrueBiz helps fintechs onboard business accounts faster by automating the processing of documents & data for KYB",
        "body": "# What We Do\n\nTrueBiz verifies business identity by combining the processing of company documents, together with searches in best-in-class data sources.\n\n# Who Has This Problem\n\nFinancial services companies onboarding business accounts often **revert to manual review because existing data sources can not provide a complete picture of the business.**\n\nAs a result, companies often rely on the business to provide supporting documentation — which is then manually reviewed. During the process they might review:\n\n* An Articles of Incorporation to verify business identity\n* A By Laws document to verify the shareholder structure\n* An invoice to validate the nature of the business\n\nThe back and forth to capture the correct documents can go on for weeks. **This slows down onboarding and creates a frustrating customer experience.**\n\n# How TrueBiz Solves KYB\n\nTrueBiz validates the different documents required for each step of the verification process. This is combined with searches in best-in-class data sources. This range of tools enables our clients to convert more customers, with less effort.\n\n![uploaded image](/media/?type=post&id=64085&key=user_uploads/156422/f72085b1-1265-4782-8183-a68c792b9f90)\n\nFor our clients, this results in:\n\n1. **Speed up time to activation:** we validate documents in seconds, preventing a slow back-and-forth to capture the correct paperwork. This shaves days off revenue realization.\n2. **Reduce manual review:** we help identify the \\~10% of cases that actually need further attention. You can redeploy the majority of your human analysts’ time and skill elsewhere.\n3. **Scale:** we remove friction from the onboarding process, so you can grow faster.\n\nOur process takes seconds – not days, so Financial Institutions can efficiently meet Know Your Business requirements and onboard new businesses faster.\n\n# Book a demo\n\nIf you’re a fintech looking to optimize your business onboarding process, [schedule a demo here](https://calendly.com/dannyhak/truebiz-demo?month=2022-06).",
        "url": "https://www.ycombinator.com/launches/Gfd-truebiz-reduce-dropout-during-kyb",
        "votes": 24,
        "created_at": "2022-06-26T23:51:25.936Z"
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    "id": 26740,
    "name": "BlueHill Payments",
    "slug": "bluehill-payments",
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    "website": "https://www.useBlueHill.com/",
    "all_locations": "Chicago, IL, USA",
    "long_description": "BlueHill replaces the patchwork of tools you use to manage clients. Instead of bouncing between a project management app, a shared inbox, a portal solution, and a spreadsheet to track onboarding — BlueHill brings it all into one platform. Your team gets built-in email, structured onboarding workflows, project management, and a complete history of every client interaction. No more lost context, no more switching between tabs, and no more wondering who said what to which client.\r\n\r\nYour clients get a branded portal experience where they can communicate with your team, track progress, and access everything they need — without the confusion of scattered tools and login links. Whether you're onboarding a new client, managing an ongoing project, or following up on a conversation from three months ago, BlueHill keeps everything connected so your team stays aligned and every client feels taken care of.",
    "one_liner": "Client management, communication, and projects in one platform.",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1653075430,
    "tags": [
      "Payments",
      "Productivity",
      "Operations"
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2022",
    "status": "Active",
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    "regions": [
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      "America / Canada",
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    "year_founded": 2022,
    "city": "Chicago",
    "country": "US",
    "linkedin_url": "https://linkedin.com/company/bluehill-payments",
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        "body": "## **TL;DR:**\n\nBlueHill makes it easy to connect to different payment service providers and start taking digital payments. We do this by integrating with different payment gateways and offering you the best rates across all payment options for each transaction.\n\n## **🤕 The Problem:**\n\n* As businesses scale, they begin to outgrow their payment systems, leaving them to use multiple tools and software to manage their revenue operations.\n* Maintaining multiple systems increases vendor lock-in and forces businesses to spend more on fees when accepting digital payments.\n* It’s difficult to get lifecycle analytics across multiple payment service providers\n\n## **🤩 The Solution - BlueHill**\n\n![uploaded image](/media/?type=post&id=64913&key=user_uploads/927793/19dd5cc9-72bb-4988-97ea-999e0bfdec8c)\n\n* ✅  Manage all of your revenue and transactions in one place\n* ✅  Use your existing payment service providers\n* ✅  See customer transaction history, LTV, and revenue graphs in real time\n* ✅  Save time and increase billing efficiency\n\n### **🧠 Intelligent Routing Platform:**\n\nBlueHill can support all your payment-related business needs, whether its fast settlement, lower fees or tiered billing with an easy-to-use Dashboard or API. Route transactions to service providers based on rates and business priorities.\n\n![uploaded image](/media/?type=post&id=64913&key=user_uploads/927793/b3438206-ff38-46e7-9479-7456c3247e52)\n\n## **🚀 Our Ask - Join our Pilot**\n\n* We want you! Interested in BlueHill’s solution? Contact us at [founders@bluehillpayments.com](mailto:founders@bluehillpayments.com) or go to <https://bluehillpayments.com>\n* Additionally, **if you know any businesses looking to streamline their complex payment operations** and are willing to make an intro please **email us directly**. Any help is appreciated.",
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        "full_name": "Max Lu",
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        "date": "Mar 21, 2023"
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        "title": "7 AI startups that stood out in YC's Summer '22 batch",
        "url": "https://techcrunch.com/2022/09/08/7-ai-startups-that-stood-out-in-ycs-summer-22-batch/",
        "date": "Sep 08, 2022"
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        "title": "Pilot AI - turns your sales calls into CRM data, automatically",
        "tagline": "Never update a CRM record again - turns every sales calls into detailed notes and structured data that updates your CRM directly.",
        "body": "**tl;dr** [Pilot](https://www.getpilot.ai/) produces detailed notes and field updates that directly update the CRM after every sales call. For reps, this eliminates hours of admin work a week spent reviewing calls and updating the CRM (instead of selling). For sales leaders, this is the only way to ensure that high-quality data is produced and logged from every sales call.\n\nHi everyone, I’m Max - the founder of Pilot AI.\n\nI’ve previously worked as a software engineer at Salesforce, built and scaled Tech & Product at Clipboard Health (W17), and then built out Revenue Operations at Welcome (S20), where it was my job to chase down sales reps every week to update Salesforce. Our reps could spend two hours a day going back through calls to take detailed notes and update the CRM - they all complained loudly about it, and they could have spent that time selling more.\n\nPilot frees up all of this wasted time through automation and makes it possible to maintain a clean CRM that can be used to produce accurate forecasts.\n\n![uploaded image](/media/?type=post&id=65138&key=user_uploads/1028295/b95d6aca-12e8-4c0f-b641-c01c8d281c49)\n\n## **What’s the problem?**\n\nSalespeople can spend 25% of their day writing up notes and updating the CRM, which they could spend generating more revenue. Every salesperson despises this part so much that frequently, they just don’t do it. This causes numerous problems including making deals difficult to review, handoffs impossible and forecasting inaccurate.\n\n## **The Solution?**\n\n**Stop relying on salespeople to take notes and update the CRM**.\n\nPilot is an AI assistant that generates detailed notes and structured data that call that updates the CRM for every call. The notes are easy to read and don’t include the rambling, small talk and pauses of the conversation but instead capture the most important points. \n\nForm every conversation, Pilot produces:\n\n1. A scannable summary\n2. Datapoints that map to CRM fields\n3. Every question asked by the rep and the most important parts of the prospect's answer\n4. Additional essential points that the prospect made during the call\n\n## **We'd love to hear from you!**\n\nIf you’re facing this problem in your organization - we’d love to show you our magic trick. [Schedule a demo!](https://calendly.com/max-pilot-ai/30min)\n\nIf you’re thinking of a sales leader that this would help, we’d love an intro! [max@getpilot.ai](mailto:max@getpilot.ai)\n\nWe’re always interested in talking to reps as well; send me an email if you’d like to use Pilot!\\\n\\\n<https://www.getpilot.ai/>\\\n[max@getpilot.ai](mailto:max@getpilot.ai)",
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        "title": "A simple PCR to predict the effectiveness of chemotherapy (translated)",
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        "body": "**tl;dr:** Signatur Biosciences is a B2B molecular diagnostics design company. Our technology expands PCR testing to a whole new range of conditions. We design smart PCR kits that can detect complex diseases as easily as a COVID test, using standard qPCR machines. Our tests seamlessly integrate into existing clinical workflows and ubiquitous laboratory instruments, empowering us to become _the_ enabling technology platform for a $20B industry.\n\n👋 Hey everyone! We’re Celestin and John. We are determined to transform the state of medical diagnostics. We set out to find a solution that delivers state-of-the art diagnosis on ubiquitous instrumentation to put cutting-edge healthcare within the reach of everyone, everywhere.\n\n### **The Problem.**\n\nRight now, PCR testing is limited to simple diseases. Covid is a good example. You take a sample from a patient and look for one biomarker. If the biomarker is there, the patient has the disease; no biomarker, no disease. Simple.\n\nBut most conditions aren't that simple. There’s a $20B industry using _patterns_ of multiple biomarkers that diagnose complex diseases, but to deploy their tests they’re relying on legacy technologies that are too slow and expensive to really help people, limiting their market reach.\n\n### **🧬 Signatur Biosciences’s solution.**\n\nOur platform expands PCR testing to a whole new range of conditions, beyond just infectious disease to include everything from chronic diseases, treatment selection, and disease monitoring.\n\nWe have re-engineered the molecular architecture of the polymerase chain reaction, empowering it to process the information from multiple biomarkers simultaneously. We combine the power of gene signature diagnosis with the **_ease and familiarity of a single PCR reaction._**\n\nEvery biomedical lab in the planet is equipped with PCR machines. This was true before the pandemic. But as a response to the pandemic, the PCR testing capacity in the US has increased by 5500% (3000% in the UK). We are giving those machines something new to do.\n\n### **🚀 How can Signatur Biosciences help me?**\n\nWe are partnering with companies to design our platform around their biomarker panels, offering broader market reach bringing such tests to more patients.\n\nIn parallel, we are building our own assay portfolio. We are developing our own internal pipeline of tests to tackle diseases that can only be interrogated by our technology.\n\n### **How you can help.**\n\nWe are looking for introductions to companies in the molecular diagnostics space. This could be companies developing portable hardware. Specifically developing genomic testing, or assays based on gene expression analysis.",
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    "long_description": "Novig is building America's #1 sports prediction market. Founded by Jacob Fortinsky and Kelechi Ukah, we are the only platform to offer commission-free sports trading. We deliver better pricing, full transparency, and a more efficient market structure for users by eliminating the traditional sportsbook model.\r\n\r\nBacked by the best - Novig has raised over $100M from some of Silicon Valley’s top investors including Pantera, Forerunner, Lux, NFX, Paul Graham, and Joe Montana.",
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        "title": "Voltic: electric cargo ships",
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        "body": "**tl;dr** - We’re building electric cargo ships that are **zero-emission** and **3x more profitable** than existing ships.\n\n![](https://lh4.googleusercontent.com/dkaLepTBHoVkqrWaRvHNwTdAZFsxsTB86Y7rsG1EaFYoe8_SUB2t_vp4E3_NprRzl6N4aFUIRIX-Ee9PDjYzsHP5W_0tJhcxThcywcYB3hIeFLW4dOe4qvlLMztbUKpVJKUT6d-Y9s_4yqvpvApJDFE)\n\nHey everyone! This is Prosser from [Voltic](https://volticshipping.com/). We’re creating electric cargo ships that are greener and cheaper than current options. \n\n### 🚢 **THE PROBLEM**\n\nShipping is a massive industry that contributes **2\\.2%** of the world’s CO2 emissions, 15% of the world’s NOx emissions and 13% of the world’s SOx emissions ([Source](https://clearseas.org/en/air-pollution/)). In other words, approximately 816,640,000,000 kg (.8 gigatons) of carbon dioxide is emitted by ships every year ([Source](https://ourworldindata.org/co2-emissions)). There is currently no generally accepted path to full sustainability for the industry. \n\nAt the same time, fuel is an enormous operating cost for ships. Ranging from **50%** at shipping’s most efficient to **75%** on fast or heavy routes when fuel prices are high, cargo prices are highly dependent on fuel prices ([Source](https://www.sciencedirect.com/science/article/abs/pii/S1361920920306817)). This means our ships will not only be great for the environment but also sustainably cheaper than current alternatives. \n\n### **⚡ OUR SOLUTION**\n\nSupported by grants from the Department of Energy, we designed a solar and battery tech stack that can completely power a container ship at standard operating speeds. Unlike most hardware startups working on difficult engineering problems, we do not have a multi-year, multi-round path to profitability. We already have our first customer, and expect our first ship to be operational in the near future. This will be the first step towards building out a fleet of zero-emission vessels. Long term, we want to fully power the shipping industry via electricity, operating a fleet that can serve any route in the world. 🚢 🚢 🚢 \n\nEmail [contact@volticshipping.com](mailto:founders@volticshipping.com) for inquiries or contacts.\n\nAnd give our [LinkedIn page](https://www.linkedin.com/company/voltic-shipping/) a follow :)",
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        "full_name": "Ruben Fiszel",
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        "founder_bio": "Ruben was top of his class MSc in CS at EPFL, did research on compilers from Scala to Hardware at Stanford, built the first open-source library for reinforcement learning for Java, , built distributed systems at scale at Palantir and ran the engineering team at a Multi-Party Computation startup. He is now building Windmill, an  open-source alternative to Retool, Pipedream, Airplane that contains the infra to run it and that you can deploy at scale.",
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        "url": "https://www.ycombinator.com/companies/windmill/jobs/aXpL7BC-product-software-engineer",
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        "id": 65264,
        "title": "Windmill: Turn scripts into internal apps and workflows",
        "tagline": "Fully open-source developer platform to turn any python, typescript, SQL into internal apps, integrations and workflows",
        "body": "## Developer platform for APIs, background jobs, workflows and UIs\n\nWindmill is an open-source developer platform to quickly build production-grade internal apps, workflows and integrations from scripts in Python, Typescript, Go, Bash, SQL.\n\nOpen-source alternative to Airplane and Pipedream. Simplified Temporal with automatic app generation. Usable as a self-hosted AWS Lambda.\n\nSync your scripts from your GitHub repo or write them directly on Windmill, have them be converted to apps and no-code modules automatically. Use those apps as standalone (triggered on demand, by webhook or schedule) or build powerful flows using those scripts. The experience is similar to no-code tools except that at any point, any module can have its code inspected and tweaked. Leveraging the open-source community, we will build an exhaustive library of scripts for all APIs and generic tasks on [hub.windmill.dev](https://hub.windmill.dev/).\n\nYou may also wrap Windmill with your own frontend to provide automation as a feature on top of your own SaaS.\n\nFocus on your business logic for all kind of flows, Windmill is the platform to build, share and run them.\n\n## Active Founders\n\n**Ruben Fiszel**\n\nRuben was top of his class MSc in CS at EPFL, did research on compilers from Scala to Hardware at Stanford, built the first open-source library for reinforcement learning for Java, built distributed systems at scale at Palantir and ran the engineering team at a Multi-Party Computation startup. He is now building Windmill, an open-source alternative to Retool, Pipedream, Airplane that contains the infra to run it and that you can deploy at scale.\n\n### The sweet spot between low-code and code from scratch\n\n### Open-source and self-hostable alternative to Pipedream and Airplane. Simplified Temporal\n\nTo build internal apps for ops, integrations between services that cannot talk to each other directly, or to run background jobs that run your business logic and analytics, the two main options today are no-code solutions and old-fashioned, roll-your-own scripting. Both have problems, and our goal with Windmill is to find a new sweet spot between the two. No-code solutions are productive _if_ your problem matches the tool exactly - but if not, they are rigid, hard to extend and quickly become tech debt, annihilating their initial time advantage. Indeed, no-code is just code but made by an opinionated someone else and hidden as a blackbox with an UI.\n\nThe alternative is to do it the old-fashioned way, writing everything from scratch, both backend and frontend, perhaps deploying it on the latest flavor of serverless, and pray to never have to touch it again because that took way too much time and it has now became a burden that the ops and business team might poke you about regularly.\n\nFurthermore, the landscape of SaaS is specialized tools for everything—alerting, data analytics, administration panels, support management, integration between services—when it feels like a few scripts and some SQL would have been as good or even better and spared you the need of depending on one yet another tool. This could be even further facilitated if there was a way to import the right bunch of scripts from a fellow community of engineers, tweak it and deploy it like you can do in communities where automation can be shared as simple JSON files, for instance in the node-red or home assistant community… That’s the idea of Windmill: to bring back the power of scripting in an easy but high-scale production-grade way.\n\n## What are good use cases for Windmill\n\n1\\. The biggest pain we solve is to turn scripts that you would run on your own laptop as internal apps that you can share with your team.\n\n2\\. Avoid SQL queries to production in favor of templatized SQL made into apps instead (automatically!). Making live SQL queries is common in DevOps, support and ops in general. It can be very error-prone, stressful and inconvenient.\n\n3\\. Integrations between tools you already use but that are unable to talk to each other.\n\n4\\. Workflows, background jobs: code that runs very frequently to react to new events, transform data and run your business logic. Many companies are a frontend on top of a database, and that database is updated in the background. We make it possible to build those workflows from simple scripts so that you can build it faster, more reliable and easier to maintain.\n\n5\\. The last one only apply if you are a SaaS that wants to provide automation as a feature of your product, or a no-code tools yourself. Because we focused very much on the hard-engineering of orchestration and specs for workflows, you might simply want to wrap Windmill to offer it to your own clients.\n\n### Where is the catch, how do you make money\n\nWe make money from support, dual licensing of commercial licenses (for SaaS wrapping Windmill or for clients requiring it) and the hosted solution. On self-hosted, our Enterprise plan embedds:\n\n* SLA & Priority Support 24/7\n* Design partners for roadmap (priority on feature requests)\n* Enterprise-specific features (Audit logs, Distributed dependency cache backed by S3, SAML support etc.)\n\nWe are workflows experts and would be happy to support you to transition to clean code working on open-source software.\n\nYou can however self-host it for free forever as long as you do not go against the AGPL license (keep open-source or do not provide it as your service).\n\n![uploaded image](/media/?type=post&id=65264&key=user_uploads/229730/0fe6dab5-5378-4e2e-ad66-930378bbe8ac)\n\n![uploaded image](/media/?type=post&id=65264&key=user_uploads/229730/5d176de7-2303-49de-adb4-9bb98c559506)\n\n![uploaded image](/media/?type=post&id=65264&key=user_uploads/229730/e1d39016-bd36-4241-b0df-a5f7799ef4f5)\n\n**Docs:** [https://windmill.dev](https://windmill.dev/)\n\n**Hosted app:** [https://app.windmill.dev](https://app.windmill.dev/)\n\n**Self-host (star us!):** <https://github.com/windmill-labs/windmill#how-to-self-host>\n\n**Discord to chat with the team/community:** <https://discord.com/invite/V7PM2YHsPB>\n\n**Schedule a demo:** <https://www.windmill.dev/book-demo>\n\n**Windmill on HackerNews:**\n\n* [Aug 9 2022, HN Launch](https://news.ycombinator.com/item?id=32400849)\n* [May 12 2023, Before v2](https://news.ycombinator.com/item?id=35920082)\n* [Nov 22 2023, Why Windmill is the fastest self-hostable workflow engine?](https://news.ycombinator.com/item?id=38383138)",
        "url": "https://www.ycombinator.com/launches/Gye-windmill-turn-scripts-into-internal-apps-and-workflows",
        "votes": 17,
        "created_at": "2022-08-10T13:00:24.836Z"
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      {
        "title": "Trucking fintech company Tank Payments nets economic empowerment prize - FreightWaves",
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        "title": "Tank Payments: The neobank built for trucking businesses",
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        "body": "We’re Dane, Jad, and Matt, and we’re excited to introduce Tank Payments.\n\n### **❌ The Problem**\n\nWhen truckers haul loads, shippers stipulate 30 to 90 day payment terms, which is too long for many trucking companies that operate on thin margins. To access cash faster (1-3 days), trucking companies sell their invoices to financing companies called “factors” for a 2-5% fee. Many truckers end up paying up to $40 in fees per invoice to wire money from their factors if they need cash from their factors immediately, meaning that **some truckers give up close to 10% of their income to get access to the money they’ve already earned.**\n\nMoney movement in freight is not efficient, causing truckers to stitch together a variety of tools (Cash App, local commercial banks, factoring, fuel cards, and more) to manage their businesses. Even the business that pay truckers (e.g. factors) use dated payments infrastructure, exacerbating delays. This leaves an opportunity for software that addresses these financial needs in a way that’s purpose-built for the freight industry.\n\n## **✨ Our Solution**\n\n![uploaded image](/media/?type=post&id=65088&key=user_uploads/793427/be064c4e-46a5-4172-8c84-dd10830f6b9a)\n\n**Tank Payments is a banking experience specifically designed for the freight industry, and its first feature allows truckers to get paid faster.** We give truckers instant access to their money by putting factors and truckers on the same financial infrastructure. Factoring companies partner with Tank because our infrastructure reduces their time spent on accounts payable, and helps them retain customers by offering a better funding experience.\n\nOver time, the Tank Payments will become the finance department for trucking SMBs, supporting the many unique financial requirements of freight businesses. We’ve pinpointed payroll, expense management, insurance, and P2P payments as areas of priority that our neobank is well-positioned to serve.\n\n![uploaded image](/media/?type=post&id=65088&key=user_uploads/793427/e85b3331-683f-4031-bd75-51747ce4bb4c)\n\nOur team worked together for the past 7 years, first at a startup (Graphiq, acq. 2017) and then at Amazon Alexa AI. We bring experience in financial services, data analytics, digital security, and natural language processing to a freight industry in the midst of a tech adoption boom.\n\n### **🙏 Asks**\n\n1. We would love to connect with founders and teams that have **experience embedding 1) payroll, 2) card rewards (e.g. fuel discounts), and 3) insurance into their software**.\n2. Tank wants to expand and distribute its neobank through entities that pay truckers, beyond factors. We want to learn more about how players like international freighters (e.g. Maersk), freight forwarding companies (e.g. Flexport), domestic shippers (e.g. Kroger’s Markets), and third-party logistics providers (e.g. C.H. Robinson) **perform payouts and if they could benefit from payment speed and/or coordination.**",
        "url": "https://www.ycombinator.com/launches/Gvo-tank-payments-the-neobank-built-for-trucking-businesses",
        "votes": 39,
        "created_at": "2022-08-03T05:00:27.064Z"
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        "full_name": "Mika Eddy",
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        "full_name": "Ed Adjei",
        "title": "Founder",
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        "full_name": "Gladys Adjei",
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        "title": "Aragorn AI: Sync millions of HR data with vendors",
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        "body": "Hello YC,\n\nWe are Ed, Gladys and Eric, and we’re jazzed to launch [Aragorn AI](https://www.aragorn.ai/)!\n\n# **TL;DR:**\n\n[Aragorn](https://www.aragorn.ai/) helps enterprises sync their HR data with their vendor systems seamlessly.\n\n# **What is the problem and who is this for?**\n\nMost companies with employees between 500 and 10,000+ waste at least $400,000 and over 8,000 hours per year managing inefficient HRIS data integrations between their vendors. This is a very painful and arduous process for HR leaders and teams.\n\nCurrent attempts to simplify integrations have mostly failed because they are generally custom 1:1 solutions that do not scale, require enterprises to replace their existing HR systems, and are not specifically designed to handle HR data. HR leaders who adopt these integration platforms generally experience incremental costs and long implementation times (at least 3-months) per vendor.\n\n# **How it works**\n\nWe’ve built a [solution](https://www.aragorn.ai/) where enterprises transfer their HRIS data to [Aragorn’s platform](https://www.aragorn.ai/) through encrypted means, map out attributes of the data to specific vendor formats programmed in [Aragorn](https://www.aragorn.ai/) and automatically share authorized data required by their vendors in a few hours. Our implementation time for HR leaders and organizations take days not months.\n\n![uploaded image](/media/?type=post&id=64263&key=user_uploads/694314/5d8bc48e-2c9e-4a66-84bb-3c74aa869f8d)\n\n# **Why we built** [**Aragorn AI**](https://www.aragorn.ai/)\n\nWe grew up as siblings and worked at organizations that manually formatted big data and scheduled transfers to multiple vendors (donations, learning management, 401(k), health insurance, etc.). Ed, ex-VP of Engineering at YourCause and Director of Software Development built and oversaw over 700 HR data integrations in attempt to solve this problem. We knew there has to be an effective and efficient way for HR leaders and teams to deal with this problem.\n\n# **How you can support us**\n\nWe would appreciate it if you can make introductions to your network of companies that have over 500 employees. Please contact us at [founders@aragorn.ai](mailto:founders@aragorn.ai) and we’ll send you a personalized email to forward on.",
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          "Figma"
        ]
      },
      {
        "id": 71163,
        "title": "Founding Applied AI Engineer - Flair Labs",
        "url": "https://www.ycombinator.com/companies/flair-labs/jobs/a9J4t3c-founding-applied-ai-engineer-flair-labs",
        "location": "San Francisco, CA, US / Remote (Palo Alto, CA, US; San Francisco, CA, US; Santa Clara, CA, US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$100K - $150K",
        "equity_range": "0.50% - 2.00%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": [
          "Google Cloud",
          "Python",
          "Docker",
          "Prompt Engineering"
        ]
      },
      {
        "id": 89500,
        "title": "Forward Deployed Engineer - Flair Labs",
        "url": "https://www.ycombinator.com/companies/flair-labs/jobs/fyXhYIj-forward-deployed-engineer-flair-labs",
        "location": "San Francisco, CA, US / Remote",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$100K - $150K",
        "equity_range": "0.50%",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
        "skills": [
          "Google Cloud",
          "Kubernetes",
          "Python"
        ]
      },
      {
        "id": 89512,
        "title": "Founding Infrastructure Engineer - Flair Labs",
        "url": "https://www.ycombinator.com/companies/flair-labs/jobs/0X4W8Kx-founding-infrastructure-engineer-flair-labs",
        "location": "San Francisco, CA, US / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$120K - $160K",
        "equity_range": "0.50%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Google Cloud",
          "Kubernetes",
          "Python",
          "Redis",
          "Firebase",
          "Docker"
        ]
      }
    ],
    "news": [
      {
        "title": "AI Voice Agents: 2025 Update | Andreessen Horowitz",
        "url": "https://a16z.com/ai-voice-agents-2025-update/",
        "date": "Jan 29, 2025"
      }
    ],
    "launches": [
      {
        "id": 86082,
        "title": "Flair Labs: Digital Concierge for Real Estate and Lending",
        "tagline": "Lifelike Voice AI. For Real Estate. Now.",
        "body": "**tl;dr**: Real estate and mortgage brokerages lose billions in commissions yearly in missed opportunities with prospective home buyers and sellers. Flair lets any team deploy their own fleet of digital assistants - tailored to real estate workflows - that allows brokerages to multiply their active conversations.\n\n<https://www.loom.com/share/5e54f4095c7a4841acd070036df437ca?sid=44286c27-98ba-4374-bce1-fb199062002b>\n\n—\n\n### **❌ The Problem**\n\n**Real estate and lending teams lack resources to properly manage client communications.**\n\nEvery day brokerages leave millions of dollars on the table. Why?\n\n* Communication in real estate quickly becomes overwhelming, especially when there aren’t enough hands to stay on top of every client\n* They, therefore, miss over half their phone calls and follow-ups\n* Today - 300,000+ loan officers and 1.6m+ realtors spend hours on the phone getting applicants to complete applications or gathering additional information before they churn to competitors.\n* 85% of the time when a call is missed, clients don’t call back; they often go with another realtor\n\n**Existing alternatives are either expensive or inefficient.** Even small to midsize brokerages can make and receive hundreds, if not thousands, of calls per day\n\n* Receptionists (both virtual & non-virtual) are costly, not 24/7 and operational on the weekend, require months of onboarding, and have high variance in terms of performance\n* Call centers are costly (few dollars / minute), inconsistent, and don’t integrate with business systems (e.g., CRMs)\n\n### **✨ Our Solution**\n\n[Flair Labs](https://flairlabs.ai) allows brokerages to set up their own **digital concierge** that automates client communication and relationship nurturing\n\n![uploaded image](/media/?type=post&id=86082&key=user_uploads/986377/994c9276-0ffe-44b0-b080-5416a5dc294b)\n\n**Speed-to-lead**\n\n* 24/7 availability - automate follow-ups from inbound inquiries to nail down appointment times and collect necessary information\n* Pick up and reengage clients that dropped off online forms or applications\n* Multi-channel sequences through call, sms and email ensure to reach clients where they prefer most\n\n**Lead reactivation**\n\n* Booking confirmations to minimize cancellations / no-shows\n* Follow-ups with previous leads to gather updated information and changes in timelines\n\n**Live transfer & callback scheduling**\n\n* Warm transfer hot leads directly to realtors or mortgage brokers\n* Connect with calendar and CRM to set up times to call back\n\n### **🏆 Team**\n\n[Samir Sen](https://www.linkedin.com/in/samir-sen-3a2b72123/) - Stanford BS/MS in Computer Science. Prev. Apple ML\n\n[Eddie Wu](https://www.linkedin.com/in/eddie-chao-ping-wu-604a98145/) - Stanford GSB. Prev. Citi Group - Director, Mortgages & Lending\n\n![uploaded image](/media/?type=post&id=86082&key=user_uploads/986377/fcf62135-766e-4334-8472-b75191a9e261)\n\n### **🙏 Asks**\n\n* 📣 Sharing: Please share this announcement with your network and follow us on [LinkedIn](https://www.linkedin.com/company/flair-labs-ai/)!\n* 👥 Referrals: If you know of anyone who owns a real estate and mortgage brokerage and could benefit, please connect us [samir@flairlabs.ai](mailto:samir@flairlabs.ai)",
        "url": "https://www.ycombinator.com/launches/MOQ-flair-labs-digital-concierge-for-real-estate-and-lending",
        "votes": 8,
        "created_at": "2024-12-05T20:46:37.420Z"
      }
    ]
  },
  {
    "id": 26860,
    "name": "NewsCatcher",
    "slug": "newscatcher",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4e6df1d33e5151e6b36a83a91e94b8bb2550c930.png",
    "website": "https://newscatcherapi.com/",
    "all_locations": "Kyiv, Ukraine; Remote",
    "long_description": "CatchAll by NewsCatcher is a recall-first web search API built for queries where the results are spread across hundreds or thousands of pages on the web. Instead of returning the top ranked links like traditional search engines, CatchAll retrieves a large candidate set from the web, validates which pages actually match the query, and extracts structured records of real-world events.\r\n\r\nDevelopers and data teams use CatchAll to answer “long-list” questions such as tracking regulatory actions, funding rounds, product launches, corporate expansions, or cybersecurity incidents. The output is not just links but clean, deduplicated datasets that can power AI agents, monitoring systems, analytics pipelines, and market intelligence workflows.\r\n\r\nCatchAll runs on the data infrastructure developed by NewsCatcher, which continuously indexes millions of articles and public web pages across a global network of sources.",
    "one_liner": "Turning the web into a structured database of real world events.",
    "team_size": 22,
    "industry": "B2B",
    "subindustry": "B2B -> Analytics",
    "launched_at": 1659698356,
    "tags": [
      "SaaS",
      "Enterprise",
      "Big Data",
      "Enterprise Software",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2022",
    "status": "Active",
    "industries": [
      "B2B",
      "Analytics"
    ],
    "regions": [
      "Ukraine",
      "Europe",
      "Remote",
      "Fully Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": [
      {
        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "Me (Artem) and Maksym, childhood pals since school days and university companions, teamed up to launch NewsCatcher in February 2020. Both Data Engineers with a knack for problem-solving, we were fed up with the status quo but passionate about data, laying the groundwork for our startup. Embracing the ethos of rapid iteration, we wasted no time, kicking off our journey by creating a Telegram chat dubbed \"First million\".Following Y Combinator's mantra of swift action, we rolled out our beta in April 2020, fuelled by AWS credits from YC Startup School. Our early strides were apparent when a Python package we crafted gained traction on Reddit, attracting a flurry of sign-ups. By June 2020, we debuted our V1 product on RapidAPI, landing our first paying customer—a serendipitous encounter with a US student bound for YC W24 batch. Our trajectory continued with applications to accelerators like TinySeed and YC, ultimately opting for TinySeed's rapid application process, albeit declining YC's offer later on. With strategic hires and laser-focused growth, we had a revenue surge from $3,000 to $25,000 MRR within a year. We circled back to YC, securing entry in May 2022 with $300,000 ARR. Despite hurdles, like my temporary detour to aid the Armed Forces of Ukraine, we thrived, clinching enterprise contracts and elevating ARR to $450,000 by Demo Day. Post-YC, while grappling with revenue challenges hindering our progress, we gleaned valuable insights into customer alignment, reaffirming our dedication to efficient growth and customer-centricity."
      },
      {
        "question": "How did you decide to apply to Y Combinator? What was your experience applying, going through the batch, and fundraising at demo day?",
        "answer": "Deciding to apply to Y Combinator was a big step for us. We wanted to take NewsCatcher to the next level, and YC seemed like the perfect fit with its reputation for helping startups succeed. In early 2021, we applied to TinySeed, Alchemist Accelerator, and YC for the third time. TinySeed offered us a spot, which we accepted, even though we also got an interview invitation from YC. We had a monthly revenue of $3,000 at that time. Over the next year, we hired Aditya, Aakash, and Ibrahim and grew our monthly revenue to $25,000. This encouraged us to apply to YC again. In May 2022, despite the challenges of the Ukraine conflict and Artem's temporary absence to help the Armed Forces, we decided to reapply to YC. Our dream came true when Michael Seibel interviewed us, and we got in. Joining YC with around $300,000 in yearly revenue, we embraced their focus on fast growth and solving real problems. Throughout the program, we learned a lot from mentors and other founders. By Demo Day, our yearly revenue had grown to $450,000. After YC, Artem spent two days fundraising and found a great investor in Uncommon Capital, led by Jamie Quint. We also got support from other YC alums."
      },
      {
        "question": "How have you kept in touch with the YC community and continued to use YC resources & programs since the batch ended?",
        "answer": "Staying connected with the YC community has been super important for us as we figure out life after our time in the batch with NewsCatcher. We've been using all the cool stuff YC offers to help us grow and get better. Their knowledge base has been a goldmine of tips and tricks that have really helped us make NewsCatcher bigger and better.We've also been talking to other folks in the YC community for advice on running our business and bouncing around ideas. It's been awesome to have a bunch of other founders and experienced mentors cheering us on and giving us advice as we tackle the challenges of starting up.Plus, we've been taking advantage of discounts YC offers for different services, which has been a huge help in making our operations smoother and saving us some money. The YC community has been super generous in sharing their resources and expertise, and we're really grateful for all the support and camaraderie. It's been a big part of our journey as founders, and we couldn't have done it without them!"
      },
      {
        "question": "What's the history of your company from getting started until the present day? What were the big inflection points?",
        "answer": "**February 2020:** me and Maksym, both Data Engineers, co-found NewsCatcher driven by a shared passion for data and dissatisfaction with existing solutions. **April 2020:** Launch of NewsCatcher's beta, followed by the release of V1 product on RapidAPI in June, attracting first paying customers. **January-February 2021:** Joining TinySeed accelerates growth, leading to rapid revenue increase and team expansion. **May 2022:** Reapplication and acceptance into Y Combinator highlight commitment to excellence and innovation. **2023:** NewsCatcher experiences significant growth, achieving an ARR of $1.13 million. **2024:** Setting ambitious goals, aiming to grow ARR to $3.7 million. Focus on building scalable customer success processes to maximize retention and upsells. Additionally, hiring first Account Executives to drive sales growth and expand market reach."
      },
      {
        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "NewsCatcher is all about tackling the big challenge of making real-time news data easy to access from a wide range of sources. Many businesses and researchers struggle to get up-to-date info for things like market analysis, trend tracking, and content creation. It's a pain to manually gather news from lots of places—it takes forever and isn't very efficient. We decided to tackle this problem because, as Data Engineers ourselves, we know the frustration of trying to get good news data for projects. We realized that making this info more accessible could have a huge impact, so we decided to use our skills to do something about it.With NewsCatcher, our goal is to make real-time news data available to everyone. We've gathered news from over 70,000 sources and made it easy and affordable for anyone who needs it. We believe that by solving this problem, we can help spark innovation and improve decision-making.We're all about prioritizing data quality, adaptability, great customer service, and keeping things simple. That way, our customers can always count on getting the news they need to succeed."
      },
      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "Our long-term vision for NewsCatcher is to change the game when it comes to how businesses get and use news data, making the business world more informed and connected. If we truly succeed:\\* Businesses of all sizes will have equal access to real-time news data.\\* Decision-making across industries will be more informed and agile.\\* Innovation will be accelerated, driving economic growth.\\* Transparency and accountability in business operations will be enhanced.\\* Global connectivity and collaboration among businesses will be strengthened.Basically, we want to give businesses the tools they need to succeed in today's fast-paced and interconnected global market."
      }
    ],
    "url": "https://www.ycombinator.com/companies/newscatcher",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/newscatcher.json",
    "year_founded": 2021,
    "city": "Kyiv",
    "country": "UA",
    "linkedin_url": "https://www.linkedin.com/company/newscatcherapi/?viewAsMember=true",
    "x_url": "https://twitter.com/newscatcherapi",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4e6df1d33e5151e6b36a83a91e94b8bb2550c930.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": null,
    "founders": [
      {
        "user_id": 444913,
        "full_name": "Artem Bugara",
        "title": "Founder",
        "founder_bio": "Artem Bugara is the co-founder, CEO of NewsCatcher. Artem works with data and risk teams to help them integrate actionable signals from online news. Previously he ran a team of data engineers for one of the largest underwriting companies within the aviation, energy, and space insurance sectors.\n\nHe earned a degree in Econometrics from Toulouse School of Economics. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/artem-bugara/",
        "x_url": "https://twitter.com/bugaralife",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/717c77848f35ff3f50a1978f5ec2430ab5b55273.jpg"
      },
      {
        "user_id": 472880,
        "full_name": "Maksym Sugonyaka",
        "title": "Founder",
        "founder_bio": "Maksym Sugonyaka is the co-founder and CTO of NewsCatcher. After one year of a stable job, Maksym understood that the only place where he could realize his potential was entrepreneurship. Now in NewsCatcher, Maksym is the one to take key strategic and technical decisions in order to make the best News API on the market. \n\nHe has a Master's Degree in Data Science and Finance from Paris Sorbonne. But then,  he became a self-taught Data Engineer.  \n\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/msugonyaka/",
        "x_url": "https://twitter.com/kizy625",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0d3748b7ed0c74799452205a4a62beb4d707d66b.jpg"
      }
    ],
    "jobs": [
      {
        "id": 92394,
        "title": "Software Engineer (Backend & LLM)",
        "url": "https://www.ycombinator.com/companies/newscatcher/jobs/cuGf2UW-software-engineer-backend-llm",
        "location": "LB / UA / PL / LT / RO / Remote (LB; UA; PL; LT; RO)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$60K - $85K",
        "equity_range": "0.10% - 0.30%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": [
          "Kubernetes",
          "Python",
          "Docker"
        ]
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 99812,
        "title": "CatchAll: Recall-first web search API",
        "tagline": "Turning the web into a structured database of real-world events",
        "body": "Hello, hackers! We’re Artem and Maksym, founders of NewsCatcher.\\\n\\\nWe’re building a structured, event-centric index of what happens in the real world. Today, that starts with CatchAll — a recall-first search API that finds all relevant matches to a query, extracts structured facts, and delivers clean, ready-to-use datasets.\\\n\\\n<https://www.youtube.com/watch?v=GPfVdNRoDsA>\\\n\\\n**The problem**\\\nTraditional web search — and most search APIs — were designed for humans. They optimize for **speed and ranking**, which works well when one page contains the answer:\n\n* “Who is the CEO of a company?”\n* “What’s the latest acquisition in X?”\n\nBut many high-stakes questions don’t have a single answer:\n\n* _All_ regulatory actions affecting an industry\n* _Every_ cybersecurity incident in a given week\n* _All_ funding rounds, policy changes, or facility expansions\n\nIn these cases, **recall is everything**.\\\nIf 200 valid events exist and your system surfaces 5, your recall is 2.5%. No amount of prompting or post-processing fixes that.\n\nLLMs and “deep research agents” haven’t solved this. They still open and read pages one by one, hit context limits, and end up sampling rather than exhausting a topic.\n\n\\\n**The solution**\\\nCatchAll is a recall-first web search API built for long-list answers — answers distributed across the open web.\n\nCatchAll:\n\n* Pulls a large candidate set from NewsCatcher’s proprietary web index (often tens of thousands of pages)\n* Validates which pages actually match the criteria\n* Extracts structured fields (companies, dates, locations, actions, amounts — defined by the user)\n* Normalizes and deduplicates everything into clean records\n\nThe output isn’t links.\\\nIt’s a dataset that didn’t exist before — and can be kept up to date by turning the query into a **live monitor**.\n\nFor teams, the end result is fewer searches and more reliable alerts.\\\n\\\n**Backstory**\\\nMaksym and I have known each other for almost 20 years. NewsCatcher is our first startup — we've been building it since 2020. It started as a bootstrapped self-serve news API for startups, and then grew into custom enterprise solutions (powering the US Department of State, Transparency International, Samsung, 50+ enterprise clients). CatchAll is us coming back to self-serve: same infrastructure, now optimized for the AI agent ecosystem.\\\n\\\nSign up [here](https://platform.newscatcherapi.com/catchall?utm_source=launch_yc&utm_medium=social&utm_campaign=Launch_YC_CatchAll&utm_id=catch_all_YC), test CatchAll (for free), and give us feedback (we’ll 5x your credits!).\\\n\\\nShare your use-cases:\\\n[artem@newscatcherapi.com](mailto:artem@newscatcherapi.com) or DM on [https://www.linkedin.com/in/artem-bugara](https://www.linkedin.com/in/artem-bugara/)\n\n![uploaded image](/media/?type=post&id=99812&key=user_uploads/444913/74de4236-76fc-4c2b-8ef4-d02248dd0837)\n\n",
        "url": "https://www.ycombinator.com/launches/Pxs-catchall-recall-first-web-search-api",
        "votes": 5,
        "created_at": "2026-04-16T15:13:11.193Z"
      },
      {
        "id": 65153,
        "title": "NewsCatcher - News API for risk and data teams",
        "tagline": "We help data and risk enterprise teams get instant access to machine-readable news from over 40,000 online news sources",
        "body": "**tl;dr:** We make it easy for data, market research, and risk teams to integrate machine-readable news feed into their internal analytics system. \\\n\\\nHey Fam, we're [Artem](https://www.linkedin.com/in/artem-bugara/) and [Maksym](https://www.linkedin.com/in/msugonyaka/) and we're building [NewsCatcher](https://newscatcherapi.com/). We're on a mission to empower data-driven organizations with the highest quality and easiest-to-use News API. \\\n\\\n**❌ The Problem**\n\nIt’s easy to consume news as a human: you open Google News and read.\n\nNow, imagine:\n\n* you work for a bank, and you have to perform negative news searches for all new & existing accounts for anti-money laundering & financial crime checks\n* you work for a PR firm that has to monitor news mentions on your clients and their competitors\n* you’re an analyst in an investment firm, and you need to calculate news sentiment for each company on the market over the past N years\n* you want to show relevant news to the users on your app to make them spend more time on it\n\n“Humans reading the news” is not a scalable way to resolve a problem anymore, and it’s expensive.\n\n**✨ Our Solution**\n\nSearch and integrate news with code. Find news articles by any topic, country, language, website, or keyword with REST JSON News API.\\\n**Go ahead, and make some API calls on our** [**demo page**](https://demo.newscatcherapi.com/)**.**\n\nWe’ve built a generic news crawler that automatically finds new articles, normalizes them, and indexes them. So, you can now automate the news consumption and analysis via an API.\n\nYou can read more over this [link](https://docs.newscatcherapi.com/knowledge-base/how-newscatcher-works) from our knowledge base.\n\nHere is how an article would look in our search:\n\n![uploaded image](/media/?type=post&id=65153&key=user_uploads/444913/1c4d6e37-3e46-4c2a-a864-a969a80279e4)\n\n\\\nTop 3 use cases from our clients:\n\n* **risk intelligence**: find insights in the news before they get visible in financial reports days or months later\n* **integrate news** into your app\n* **media monitoring** on millions of companies all around the world\n\n\\\n\\\n**🙏 Asks**\n\n1. Try our News API: claim your [API key](https://app.newscatcherapi.com/auth/register), or/and [book a technical session with us](https://savvycal.com/newscatcher/chat)\n2. Are you experienced with extracting data from HTML, or you’re an NLP expert? We’d love to chat!",
        "url": "https://www.ycombinator.com/launches/Gwr-newscatcher-news-api-for-risk-and-data-teams",
        "votes": 46,
        "created_at": "2022-08-05T13:27:00.532Z"
      }
    ]
  },
  {
    "id": 26863,
    "name": "Provision",
    "slug": "provision",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/385a0231f7ab5d980e79ffdfbfa16bc2183b283d.png",
    "website": "https://provision.com",
    "all_locations": "Toronto, ON, Canada",
    "long_description": "Provision is building the AI Estimator for construction. We identify risks and obligations in contracts, specs, and drawings so contractors can reduce time spent reviewing documents and focus on winning and delivering projects profitably. Backed by Y Combinator (S22).",
    "one_liner": "Ironclad for construction",
    "team_size": 15,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1653315975,
    "tags": [
      "Documents",
      "Machine Learning",
      "Construction",
      "Productivity",
      "NLP"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2022",
    "status": "Active",
    "industries": [
      "B2B",
      "Infrastructure"
    ],
    "regions": [
      "Canada",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/provision",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/provision.json",
    "year_founded": 2022,
    "city": "Toronto",
    "country": "CA",
    "linkedin_url": "https://www.linkedin.com/company/provision-software-co",
    "x_url": "https://twitter.com/UseProvision",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/provision-1d32",
    "github_url": "https://github.com/provisionsoftwarecorporation",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/385a0231f7ab5d980e79ffdfbfa16bc2183b283d.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
    },
    "founders": [
      {
        "user_id": 351083,
        "full_name": "Luigi La Corte",
        "title": "Founder",
        "founder_bio": "Luigi is the co-founder and CEO of Provision. Before co-founding Provision, he worked in the construction industry for seven years between Arup (a multi-disciplinary engineering design firm) as a civil engineer and Plenary (infrastructure developer) as a Director. He managed $3B+ of large infrastructure projects with some of the most sophisticated stakeholders across the value chain (owners, GCs, sub-contractors, facility managers). ",
        "is_active": true,
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        "id": 69811,
        "title": "Account Executive (Mid-Market, Toronto)",
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        "salary_range": "$140K - $170K CAD",
        "equity_range": "0.20% - 0.65%",
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        "url": "https://www.ycombinator.com/companies/provision/jobs/dseNXSQ-senior-machine-learning-engineer",
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        "role": "Engineering",
        "role_type": "Machine learning",
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        "id": 65358,
        "title": "Provision 🏗️📃 - Ironclad for construction",
        "tagline": "Provision helps owners and constructors understand their commercial documents, collaborate with team members, and reduce risk, increasing profits by 5-10%. ",
        "body": "We’re Brendan and Luigi and we’re the co-founders of Provision.\n\n**Problem**\\\nThe construction industry spends $500B annually (\\~4% of market value) on issues stemming from document complexity. Documents are becoming longer, harder to read, and contain obligations that go unchecked eroding profitability. Currently, people use CTRL+F to navigate thousands of pages and Excel to extract information, often resulting in missed obligations, and unexpected costs.\n\n![uploaded image](/media/?type=post&id=65358&key=user_uploads/280788/8f4cc15a-b090-4ac2-a0d5-a9eee38cc0eb)\n\n\n**Need**\\\nConstruction professionals need to understand and manage all of the requirements held within these documents, because missing them means delays, budget overruns and even failed projects.\n\n**Enter Provision**\\\nProvision ingests contracts, specs and drawings, and gives users tools to manage risks, obligations and compliance.\n\n![uploaded image](/media/?type=post&id=65358&key=user_uploads/280788/edbcd4d6-2298-48c2-9025-edcd7959b3d4)\n\n\n**Backstory**\\\nBoth Luigi and Brendan worked in the construction industry for years before starting Provision. Brendan left the industry, and built two startups over a couple of years but always had aspirations to go back to construction. Luigi worked as a Director at an infrastructure developer for 6 years, where he saw even the most sophisticated constructors fail to understand their documents. We came together in December of 2021 through YC to build something impactful. \n\n![uploaded image](/media/?type=post&id=65358&key=user_uploads/280788/dc0bd0eb-5339-4efa-9159-cd50050156cb)\n\n\\\n**Ask**\\\nUpvote this post! :)\n\nAnd if anyone has any warm connections to GCs or subcontractors in North America who builds big projects (50M+), we would love an intro. [founders@getprovision.co](mailto:founders@getprovision.co)\n\nAlso, we’re hiring for Data Engineer and SWE roles. [careers@getprovision.co](mailto:careers@getprovision.co) \n\nFollow us on [LinkedIn](https://www.linkedin.com/company/86033411), and drop us a line if you want to chat.\n\nThanks!",
        "url": "https://www.ycombinator.com/launches/H0A-provision-ironclad-for-construction",
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    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/thera.json",
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    "city": "New York City",
    "country": "US",
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        "full_name": "Akhil Reddy",
        "title": "Founder/CEO",
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        "title": "Content Creator (Copy Writer)",
        "url": "https://www.ycombinator.com/companies/thera/jobs/oEU6oCR-content-creator-copy-writer",
        "location": "NYC or Remote / Remote (US)",
        "type": "Full-time",
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        "role_type": null,
        "salary_range": "$70K - $90K",
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        "experience": "Any (new grads ok)",
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        "full_name": "Nikita Ermoshkin",
        "title": "Founder",
        "founder_bio": "Nikita Ermoshkin is an electrical and systems engineer with a degree in Electrical and Computer Engineering from Cornell University. Nikita was an avionics systems engineer at SpaceX, where he worked on Falcon 9 Fairing recovery, Falcon 9 Payload design, Falcon 9 Stage 2 avionics, and several other projects. Prior to SpaceX and Cornell, Nikita was a co-founder and systems architect at Carbon, where he worked on the development of Carbon's 3D printing technology and printer architecture.",
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        "location": "Long Beach, CA, US",
        "type": "Full-time",
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        "role_type": "Hardware",
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        "location": "Long Beach, CA, US",
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        "role_type": "Electrical",
        "salary_range": "$105K - $135K",
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        "title": "Super-simplified aircraft promises pilots a car-like flying experience",
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        "title": "✈️ Airhart Sling: The first fly-by-wire personal airplane",
        "tagline": "Airhart is making airplanes that anyone can fly. Our advanced flight control systems make flying to Tahoe as easy as driving to the grocery store.",
        "body": "At Airhart, we are building airplanes anyone can fly. We’ve been working on our vehicle for close to a year now and are thrilled to announce we are working with Sling Aircraft in developing our first fully fly-by-wire and easy-to-fly airplane: the **Airhart Sling**!\n\n![](https://uploads-ssl.webflow.com/64085db05268829a421ce823/6462978da8bca97ce08640ac_OUTDOOR%20A%20RED.png)\n\n**Why are we building airplanes?**\n\nCommon small planes today look, feel, and fly the same way a car from the 1960’s looks, feels, and drives because they were designed and built in that same time. Today, many people don’t see themselves being able to drive a 1960’s manual transmission car, much less a plane from the same era.\n\nLearning the motor skills required to fly a plane today like this adds time, costs, and training complexity. Around [70 to 80%](https://download.aopa.org/epilot/2011/AOPA_Research-The_Flight_Training_Experience.pdf) of aspiring pilots drop out before getting their Private Pilot License citing these as reasons.\n\n**What is the Airhart Sling?**\n\nBased on the [Sling TSi](https://slingaircraft.com/aircraft/sling-tsi/), it will possess all the excellent features typical of a TSi:\n\n* capacity for four people (including the pilot)\n* a cruise speed of 148 KTAS,\n* a range of 800 nautical miles\n* only burning 7.4 gallons of fuel per hour.\n\nThe Airhart Sling will feature Airhart’s easy-to-fly controls, creating a safe and user-friendly airplane that anyone can fly.\n\nRead more about the Airhart Sling on our website: <https://www.airhartaero.com/airhart-sling>\n\n**Asks**\n\n* Interested in getting an Airhart Sling when it is released or know someone who would be? **Reserve your spot** with a deposit: <https://www.airhartaero.com/reserve-your-spot>\n* Just think airplanes are cool? **Sign up to receive updates** on our blog as we make progress: <https://www.airhartaero.com/blog>\n* **Share us** with your airplane-loving friends!",
        "url": "https://www.ycombinator.com/launches/IdP-airhart-sling-the-first-fly-by-wire-personal-airplane",
        "votes": 8,
        "created_at": "2024-01-09T22:13:27.818Z"
      },
      {
        "id": 64872,
        "title": "✈️ Airhart Aeronautics - Airplanes Anyone Can Fly",
        "tagline": "Airhart is making airplanes that anyone can fly. Our advanced flight control systems make flying to Tahoe as easy as driving to the grocery store.",
        "body": "We are [Nikita](https://www.linkedin.com/in/nikita-ermoshkin-0727357b/) and [Brendan](https://www.linkedin.com/in/brendanjohnquinn/) and we are excited to launch [Airhart Aeronautics](https://www.airhartaero.com/). \n\nAirhart is making **airplanes that anyone can fly**. Our advanced flight control systems make flying to Tahoe as easy as driving to the grocery store. \n\n**Our Story** \n\n![uploaded image](/media/?type=post&id=64872&key=user_uploads/1013063/00953193-9c63-431f-a09f-165a2d6a2b4e)\n\nNikita worked at SpaceX on Falcon and Brendan worked at Apple on the M1. We met at Cornell and led a project team building small unmanned air systems capable of autonomous takeoff, navigation, landing, target recognition, and obstacle avoidance for an international competition. \n\nWhen we were learning how to fly, Brendan was flying the classic Cessna 172 and Nikita was flying a Cirrus SR20 with a glass cockpit. We had built advanced control systems before and knew what it could and should feel like – these were not it. \n\n**The Problem**\n\nCommon small planes today look, feel, and fly the same way a car from the 1960’s looks, feels, and drives because they were designed and built in that same time. Today, many people don’t see themselves being able to drive a 1960’s manual transmission car, much less a plane from the same era. \n\nLearning the motor skills required to fly a plane today like this adds time, costs, and training complexity. Around [70 to 80%](https://download.aopa.org/epilot/2011/AOPA_Research-The_Flight_Training_Experience.pdf) of aspiring pilots drop out before getting their Private Pilot License citing these as reasons.  \n\n**Our Product**\n\nAirhart is building modern airplanes with advanced flight controls that enable anyone to fly safely and with ease. Our aircraft are built with intuitive fly-by-wire controls to expertly fly your plane where you direct it to go. Safety features constantly monitor for the most common causes of accidents and stop issues before they start. Fault-tolerant electronics maintain functionality even if components fail. \n\nThis summer we are going to fly an experimental airplane equipped with our advanced flight controls and demonstrate what flying should be. We will be documenting our efforts on [our blog](https://www.airhartaero.com/post/the-airhart-promise).\n\n**Our Ask** \n\n1. **Share us** with your friends who are **pilots** and **those would want to fly a safer plane.** \n2. For **Investors**, reach out to us at [founders@airhartaero.com](mailto:founders@airhartaero.com)\n3. **Reserve your spot in line** to purchase an Airhart A1 at : <https://www.airhartaero.com/reservation>",
        "url": "https://www.ycombinator.com/launches/GsK-airhart-aeronautics-airplanes-anyone-can-fly",
        "votes": 36,
        "created_at": "2022-07-25T19:00:18.825Z"
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    "id": 26882,
    "name": "Coris",
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    "long_description": "Coris is the AI platform for payments risk and operations. We work with the most ambitious companies around the globe such as GoFundMe, Kajabi, Clio and Cherry to automate merchant onboarding, monitoring, and payment operations. What risk teams only imagined two years ago, Coris is delivering today with our risk platform and AI agents.\r\n\r\nWe’re backed by Y Combinator, Lux Capital, Pathlight Ventures, and other world-class investors — and we’re just getting started !",
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        "title": "Forward Deployed Product Engineer",
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        "url": "https://www.ycombinator.com/companies/quindar/jobs/vSfqxjM-backend-engineer",
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        "title": "🛰 Quindar - Automated Satellite Operations",
        "tagline": "Satellite Mission Management as a Service",
        "body": "Hey everyone! **Today we’re launching** [**Quindar**](https://www.quindar.space/), **a web app used by satellite owners to track, contact, monitor and operate** **satellites from deployment into space until end-of-life.** For example, NASA could use Quindar to test and operate their satellites with minimal human intervention.\n\n![uploaded image](/media/?type=post&id=64358&key=user_uploads/1003779/68b30bb5-43ce-4cfc-87f5-ebfafd3e3cdc)\n\nWe’re six former [OneWeb](https://oneweb.net/) engineers who helped build the software that operates the second largest satellite constellation today – at 428 and counting. After OneWeb, we built another operations center for an earth imaging constellation but today we are building a unified platform for every satellite owner.\n\n### **The Satellite Industry Problem**\n\nCurrent satellite mission software solutions are a mix of COTS products that was built over 20 years ago.\n\n* ☁️  Not cloud native\n* 🛰  Created for a handful of satellites\n* 🔐  Outdated security\n* 💽  Rarely web native\n\nThere are 4,500 active satellites in orbit today however **1,700 will be launched** **each year** through 2030. The space industry is shifting from companies launching a handful of satellites over a decade, to launching hundreds of satellites in just a few years.\n\n**The traditional model of many engineers operating a few satellites doesn’t scale.**\n\n### **The Quindar Solution**\n\nQuindar provides satellite mission management as a service. Our platform:\n\n* Allows only a single engineer to operate hundreds of satellites.\n* Includes the software to track, contact, and monitor satellites. No installation required.\n* Integrates seamlessly with AWS and Atlas antennas (more to come).\n* Aggregates and analyzes satellite, antenna, and infrastructure anomalies.\n* Accessible from any phone or computer.\n* Built on AWS GovCloud with the latest FedRAMP and NIST security controls.\n\n### **Why the world needs Quindar**\n\nOur mission is to democratize space. To be the IT for what are essentially flying servers. Customers need to focus on their mission - image collection and resolution, docking to another spacecraft, landing on an asteroid, or broadband from space and let us manage the infrastructure and software utility that supports it.\n\n### **How you can help**\n\n**If you, your friends, or colleagues are trying to launch a satellite please reach out to us at** [**founders@quindar.space**](mailto:founders@quindar.space)**.** We’d love to save them the pain of building and managing a software team and all the gotcha’s that come with satellite ops! Friends don’t let friends build their own mission ops 🙅.\n\nEmail: [founders@quindar.space](mailto:founders@quindar.space)\n\nWebsite: <https://quindar.space/>\n\nAd Astra,\n\n[@Nate Hamet](https://www.linkedin.com/in/nathanhamet/), [@Matt Regan](https://linkedin.com/in/matthew-regan-a0a45238), [@David Lawrence](https://www.linkedin.com/in/david-lawrence-58663691/), [@Sunny Bhagavathula](https://www.linkedin.com/in/sandilya-sunny-bhagavathula-13780b47/), [@Shaishav Parekh](https://www.linkedin.com/in/shaishavparekh), Zach Meza",
        "url": "https://www.ycombinator.com/launches/Gk2-quindar-automated-satellite-operations",
        "votes": 21,
        "created_at": "2022-07-06T00:59:39.013Z"
      }
    ]
  },
  {
    "id": 27054,
    "name": "Ekho",
    "slug": "ekho",
    "former_names": [
      "Ekho",
      "AirDealer",
      "Airdealer",
      "Ekho Dealer"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ba6801f432e8bfe7e4b8428c160da89816133ee9.png",
    "website": "https://www.ekho.com",
    "all_locations": "New York City, NY, USA",
    "long_description": "Ekho's end-to-end vehicle commerce platform powers compliant, digital sales of titled vehicles. Our platform handles checkout, financing, titling, registration, signature collection, and taxes—so dealers and OEMs can sell nationwide with a seamless, Tesla-like experience. Dealers use Ekho Dealer as a “dealership-in-a-box” to capture online sales and automate in-store deals without needing large back-office teams, while OEMs use Ekho Access and Omni to extend their reach and unify dealers across sales channels.",
    "one_liner": "Shopify for vehicles",
    "team_size": 30,
    "industry": "B2B",
    "subindustry": "B2B -> Supply Chain and Logistics",
    "launched_at": 1677784119,
    "tags": [
      "Auto Commerce",
      "Fintech",
      "Compliance",
      "Automotive"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2022",
    "status": "Active",
    "industries": [
      "B2B",
      "Supply Chain and Logistics"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Growth",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/ekho",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/ekho.json",
    "year_founded": 2022,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/ekho-dealer",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ba6801f432e8bfe7e4b8428c160da89816133ee9.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
    },
    "founders": [
      {
        "user_id": 775955,
        "full_name": "Christopher Howard",
        "title": "Founder",
        "founder_bio": "Cofounder at Ekho Dealer. Previously ML at Meta. Stanford computer science bachelors and masters.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/chris-g-howard/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/215707100d957b9b847d17616d485c338596cf64.jpg"
      },
      {
        "user_id": 772580,
        "full_name": "Rowan Mockler",
        "title": "Founder",
        "founder_bio": "Cofounder at Ekho Dealer. Previously product at Duolingo. Stanford computer science grad.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/rowan-mockler-198218128/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ea056ef597e8dd2f59617ed3f56adb5d15144cbc.jpg"
      }
    ],
    "jobs": [
      {
        "id": 69955,
        "title": "Solutions Architect",
        "url": "https://www.ycombinator.com/companies/ekho/jobs/oCLZbVi-solutions-architect",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $190K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 73383,
        "title": "Full-stack Engineer",
        "url": "https://www.ycombinator.com/companies/ekho/jobs/CWY25sq-full-stack-engineer",
        "location": "New York City HQ",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "Ekho Raises $17.3M from Activant, JPMorgan Payments, Winnebago Industries, YC",
        "url": "https://www.ekho.com/case-studies/ekho-raises-17-3m-from-activant-jpmorgan-payments-winnebago-and-yc",
        "date": "Jul 09, 2025"
      }
    ],
    "launches": [
      {
        "id": 69887,
        "title": "Ekho Dealer: Enabling manufacturers to sell their vehicles online",
        "tagline": "A licensed dealership that manufacturers can integrate into their own website.",
        "body": "**TL;DR We’re a licensed, full-stack distribution solution enabling OEMs to compliantly sell vehicles in the U.S. through their websites, instantly unlocking market coverage.**\n\nHi everyone, we’re [Rowan](https://www.linkedin.com/in/rowan-mockler-198218128/) and [Chris](https://www.linkedin.com/in/chris-g-howard/) - the team behind Ekho Dealer!\n\n![uploaded image](/media/?type=post&id=69887&key=user_uploads/772580/4558af4e-0b89-4496-93c6-51333867f0f9)\n\n# \n\n# **The problem ❌**\n\nIt's legally and logistically complex for vehicle manufacturers and distributors to sell their vehicles online:\n\n* **Franchise laws** mandate that new vehicle sales must be made through a licensed dealer\n* **Traditional dealers** lack online sales support and take 20-30%+ commission\n* **It is illegal** for manufacturers to sell vehicles directly to consumers in most states\n* **In states allowing direct sales**, it’s expensive and difficult to operate compliantly\n\n# **Our solution 🏁**\n\nEkho Dealer enables manufacturers to **compliantly sell their vehicles online** by making it **easy to integrate** our **licensed, full-stack distribution solution**  into their websites.\n\nWith Ekho Dealer enabled, vehicle buyers are able to select a vehicle on a manufacturer’s website and complete the entire purchase process online in minutes. This includes financing, insurance, titling, registering, and scheduling the delivery of their new vehicle (all without visiting a physical dealership).\n\n![uploaded image](/media/?type=post&id=69887&key=user_uploads/772580/5063ac06-f7d3-48a1-8087-1a47418caa42)\n\n# **How it works 🛠️**\n\nOn the backend, we take care of all the complicated regulatory requirements that come with selling vehicles online. This includes calculating and collecting sales tax, filing registration/titling forms and fees with the DMV, maintaining a portfolio of licenses, and complying with lending regulations when providing financing. On the front end, our website integrations leverage our infrastructure to compliantly process vehicle sales.\n\n# **Our backstory 🪞**\n\n* Rowan and Chris met at Stanford where they both studied computer science\n* They built a bunch of fun stuff together while in college\n* Rowan is from South Africa, is a world champion public speaker, and previously worked on the product team at Duolingo\n* Chris is from Atlanta, is a published researcher, and previously worked as a Machine Learning Engineer at Meta\n\n![uploaded image](/media/?type=post&id=69887&key=user_uploads/772580/355353b5-9c41-4e77-bd8d-cafabab91b78)\n\n# **Our ask 🙏**\n\n1. **If you know someone in vehicle manufacturing** (motorcycles, cars, RVs, trailers, ATVs, UTVs, LEVs, NEVs, golf carts, snowmobiles, etc.), ping us at [founders@ekhodealer.com](mailto:founders@ekhodealer.com) or direct them to our [inbound form](https://www.ekhodealer.com/#website-inbound) if you think they’ll find this interesting\n2. If you like what we are building, share and upvote!",
        "url": "https://www.ycombinator.com/launches/IBD-ekho-dealer-enabling-manufacturers-to-sell-their-vehicles-online",
        "votes": 214,
        "created_at": "2023-03-02T21:40:12.000Z"
      }
    ]
  },
  {
    "id": 27055,
    "name": "Vinci Games",
    "slug": "vinci-games",
    "former_names": [
      "Vinci Games",
      "Blacktop Hoops by Vinci Games",
      "Vinci Games",
      "Blacktop Hoops (by Vinci Games)",
      "Blacktop Hoops by Vinci Games"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b8b2e08cc80100af4f7f9161d33c4a5f1a59e6dd.png",
    "website": "https://ruffnauts.com/",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "Vinci Games (YC S22) is building the next generation of social multiplayer VR games.\r\n\r\nOur first title, Blacktop Hoops, became one of the highest-rated sports games on Meta Quest with a passionate global community and critical acclaim.\r\n\r\nOur second title, Ruffnauts, is already one of the fastest growing F2P releases of 2025 on Meta Quest, with 30K+ reviews at 4.9 stars in its first month of Alpha Early Access. Ruffnauts combines creature catching, chaotic physics, and Gorilla Tag style locomotion into a groundbreaking VR adventure.\r\n\r\nThe company is led by CEO Nathaniel Ventura (ex-Oculus, Google, Meta) and CTO Maciej Szcześnik, former lead gameplay designer at CD Projekt Red for The Witcher series. Our mission is to create genre-defining VR experiences that bring millions of players together.",
    "one_liner": "Creating genre-defining multiplayer VR games.",
    "team_size": 7,
    "industry": "Consumer",
    "subindustry": "Consumer -> Gaming",
    "launched_at": 1658286946,
    "tags": [
      "Virtual Reality",
      "Consumer",
      "Gaming",
      "Metaverse"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2022",
    "status": "Active",
    "industries": [
      "Consumer",
      "Gaming"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Fully Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/vinci-games",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/vinci-games.json",
    "year_founded": 2021,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/76188044",
    "x_url": "https://twitter.com/blacktophoopsvr",
    "fb_url": "https://www.facebook.com/BlacktopHoops/",
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b8b2e08cc80100af4f7f9161d33c4a5f1a59e6dd.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
    },
    "founders": [
      {
        "user_id": 701640,
        "full_name": "Nathaniel Ventura",
        "title": "Founder",
        "founder_bio": "Nathan Ventura is the co-founder and CEO of Vinci Games, which he started with Maciej Szcześnik in 2021. Nathan oversees product, marketing, and business development for the company. He spent his career leading world-class developer programs at Facebook, Google, and Unity. Currently he is focused on building the next generation of AAA competitive sports for virtual reality with Blacktop Hoops.\n\n\n",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/nathanielventura",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bad14271401b69fca81e1881b82d1dc51832f270.jpg"
      },
      {
        "user_id": 1002203,
        "full_name": "Maciej Szcześnik",
        "title": "Founder",
        "founder_bio": "Maciej Szcześnik is the co-founder and CTO of Vinci Games. He is responsible for game design and development. He studied physics (BSc) and computer science (MSc) and started his game dev career in 2004. Former lead gameplay designer on The Witcher 1, 2, and 3 at CD Projekt Red and Lead Designer at 11 Bit Studios. Former Vice-Rector and author of Video Game Development course at Warsaw Film School. Maciej started working on VR games and apps in 2015. Won Unity Neon Challenge in 2018. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/mszczesnik/",
        "x_url": "https://twitter.com/MaciejSzczesnik",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8a38e1cc4bec6c04fc28bfb9b503c6d97507ad37.jpg"
      }
    ],
    "jobs": [
      {
        "id": 94923,
        "title": "Senior World / Level Designer & Artist - Social VR ",
        "url": "https://www.ycombinator.com/companies/vinci-games/jobs/Dj5VYTN-senior-world-level-designer-artist-social-vr",
        "location": "San Francisco, CA, US / Remote (US)",
        "type": "Contract",
        "role": "Engineering",
        "role_type": "Android",
        "salary_range": "$50 - $100 / hourly",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "C#",
          "Unreal Engine",
          "Unity",
          "Blender",
          "Autodesk Maya"
        ]
      },
      {
        "id": 94924,
        "title": "Lead 3D Artist - Social VR",
        "url": "https://www.ycombinator.com/companies/vinci-games/jobs/6y7i0vY-lead-3d-artist-social-vr",
        "location": "San Francisco, CA, US / Remote (US)",
        "type": "Contract",
        "role": "Design",
        "role_type": "3D/AR/VR",
        "salary_range": "$50 - $100 / hourly",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Unity",
          "Photoshop",
          "Blender",
          "Autodesk Maya"
        ]
      },
      {
        "id": 94925,
        "title": "Senior Technical Artist, VFX & Interaction Systems - Social VR",
        "url": "https://www.ycombinator.com/companies/vinci-games/jobs/dzOP6Dg-senior-technical-artist-vfx-interaction-systems-social-vr",
        "location": "San Francisco, CA, US / Remote (US)",
        "type": "Contract",
        "role": "Design",
        "role_type": "3D/AR/VR",
        "salary_range": "$75 - $125 / hourly",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Unreal Engine",
          "Unity",
          "Blender",
          "Autodesk Maya"
        ]
      }
    ],
    "news": [
      {
        "title": "Blacktop Hoops debuts as VR basketball game | VentureBeat",
        "url": "https://venturebeat.com/games/blacktop-hoops-debuts-as-vr-basketball-game/",
        "date": "May 16, 2024"
      },
      {
        "title": "'Blacktop Hoops' Studio Announces $5.1M Funding Round, Open Beta Now Live – Road to VR",
        "url": "https://www.roadtovr.com/vr-basketball-5-1m-funding-quest-2-steam/",
        "date": "Apr 18, 2023"
      }
    ],
    "launches": [
      {
        "id": 80895,
        "title": "🔥🤾Blacktop Hoops 2.0 - NBA 2K for AR/VR",
        "tagline": "Blacktop Hoops, the ultimate single player and multiplayer AR/VR basketball game. ",
        "body": "![uploaded image](/media/?type=post&id=80895&key=user_uploads/89898/e5538a15-e8ae-40a9-b9b3-088d1457c12f)\n\n# **TL;DR**\n\nBlacktop Hoops is the ultimate VR basketball game and sports experience. Embark on a hoops journey in career mode, ball against bots, hang out with friends in online courts, or climb the rankings in competitive pickup games. Design your perfect avatar with millions of unique combinations. Do you have what it takes to become the GOAT? 🐐\n\n[**Blacktop Hoops has exited Beta and has launched**](https://www.meta.com/experiences/blacktop-hoops/4416817901687071/) launched on **Meta Quest**, **Pico**, and **Steam and is available for purchase for $29.99**!\\\n🥽 [**Play on Meta Quest:**](https://www.meta.com/en-gb/experiences/blacktop-hoops/4416817901687071/)\n\n[**🖥️**](https://www.meta.com/en-gb/experiences/blacktop-hoops/4416817901687071/)  [**Buy on Steam:**](https://store.steampowered.com/app/1945250/Blacktop_Hoops/)\n\n![](https://lh7-us.googleusercontent.com/3SfRQBX5Ax-UbqsFUnWU8S5qv2Q3B0JkSsytyKD8uAxb3VjY9Pdm9HorEHfyZlLnP1X7GkmsiuKdcmBVOtATz0BtVYnS9iosJJE9bDykiopHvz8u_yU8rSXwHqIu8Lvx2optoJwRqoyfrSXeEIaC9f0)\n\n[**🏀WATCH THE BLACKTOP HOOPS TRAILER HERE**](https://www.meta.com/en-gb/experiences/blacktop-hoops/4416817901687071/)\n\n[**😩Problem**](https://www.meta.com/en-gb/experiences/blacktop-hoops/4416817901687071/)\n\nMeta Quest has a similar trajectory to the iPhone but has **60x less apps per user available**. There is a massive gap in high-quality games and application on the platform. \n\n[The most popula](https://store.steampowered.com/app/1945250/Blacktop_Hoops/)r and highest retention genres for VR currently on Quest are competitive first person shooters, social virtual reality experiences, and sports/fitness.\n\nNo one has built a truly all-in-one sports game like NBA 2K, Madden, or FIFA for VR with a career mode, casual lobbies, and ranked competitive play.\n\n![](https://lh7-us.googleusercontent.com/TSn_kUARMCWrpee_nT52Zhf28KPmqiMIrsWWgwspJsFCit0JueFzqQ8iAYf4UivY-eDhR2w8RU8iFV8tFmgtwposkkj8vrqV8GnCVmCWmrH2bI0Ld6qsenweWZThn434DkTSnNZW-iJU48MqGLypC8k)\n\n⛹🏿‍♂️**Solution**⛹🏻‍♀️\n\nBlacktop Hoops was a breakout hit on Meta’s App Lab as the #1 rated App Lab title with over **16,000 reviews**, a **4\\.9 rating** and over **1 million players** across Steam and Quest pre-launch. \n\nIn Blacktop Hoops, players partake in an epic campaign mode featuring 12 unique streetball legends across four iconic streetball courts in Oakland, Los Angeles, New York and Athens. At the end of their journey to become the GOAT, players have a final showdown [against world dunk champion Jordan Kilganon](https://www.youtube.com/watch?v=1dTEXh4lxfA&t=155s&pp=ygUPam9yZGFuIGtpbGdhbm9u). \n\nFor multiplayer fans, players can hit the courts in casual 1vs1, 2vs2, 3vs3 or 4vs4 matches or climb the rankings in skill-based matchmaking across 9 ranks and 21 divisions.\n\n![](https://lh7-us.googleusercontent.com/sMARIlq83DjNfEYaDAghMSfOjmXt76LmQjeeKwrg3DwmJP1Tbn2aLYZqjMzep9vvbl8-_uAeGZT6iTQ29mZ3xW8eUj037Cs5TjkNb6qNGgq7ffSAY54C7GUTVNJylksMlEKNZteiIJYEUQruhB8Czks)\n\nOne of the biggest additions to Blacktop Hoops is its new customizable avatar system. Players have access to over 600 customizations including body type, faces, skin color, shirts, emotes,  sneakers, glasses, shirts and more. Players can mix and match cosmetics to build their perfect avatar with millions of possible combinations.\n\n![](https://lh7-us.googleusercontent.com/79PAptBHjdfZrcQOJkRFY1-MyN2gi1DJkPspQt-hupQchpGyHVXji2HTgCqKkEWmRoAakdkQBoJzQ7mJhyJCDEHNyC1CYkpKOz7ZfUA8ndroRx3eXma6I1Sw1zyuklk_JttEBwL_87SQ6VkbdseH2zU)\n\nBlacktop Hoops will also be coming soon to Playstation VR 2 and Apple Vision pro. \n\n![](https://lh7-us.googleusercontent.com/AFjzN7GkfZlKEPuqYZLtXIRK59QilOfbtbNM61ydvBuo6ByazUuE-2bXnWG9V1ErkDbygorlFJipuGKDuARQHNaMNRfqT4IB__N7RKpppnaguJJBLP1DLxZpyf3oXip3a5rXskTas80wTxRfJKOyC9I)\n\n**We need your help! Please reshare our trailer and announcements below.** \n\n1. [**📹Share Blacktop Hoops Launch trailer**](https://youtu.be/CsNGnDF5nfg?si=fNZ81Ut2FKShBz_r)\n2. 👨‍💼[**Share launch announcement on Linkedin**](https://www.linkedin.com/posts/nathanielventura_virtualreality-blacktophoopsvr-metaquest-activity-7196887160568905728-hT_W?utm_source=share&utm_medium=member_desktop)\n3. [🐦**Share launch announcement on X/Twitter**](https://twitter.com/blacktophoopsVR/status/1791121677155221833)\n4. 👴[**Share launch announcement on Facebook**](https://www.facebook.com/BlacktopHoopsVR/videos/276253088816960/)\n5. 📷[**Share launch announcement on Instagram**](https://www.instagram.com/reel/C7CJve7PS3q/)\n6. 😄[**Share launch announcement on TikTok**](https://www.tiktok.com/@blacktophoopsvr/video/7369643065579015467)\n\nIn addition, if you know of any consumer brands (i.e Nike, Adidas), location-based entertainment partners/arcades, or athletes that would be interested in partnership with the game please send me an email at [**n@vinci-games.com**](mailto:n@vinci-games.com). \\\n\\\nThank you for the support!",
        "url": "https://www.ycombinator.com/launches/L2l-blacktop-hoops-2-0-nba-2k-for-ar-vr",
        "votes": 99,
        "created_at": "2024-05-16T17:53:47.347Z"
      },
      {
        "id": 64750,
        "title": "🔥🏀 Blacktop Hoops - Multiplayer VR Basketball for the Metaverse",
        "tagline": "Blacktop Hoops is a competitive VR basketball game. Think NBA Jam meets NBA 2K in VR. ",
        "body": "**TL:DR** [Blacktop Hoops](https://www.youtube.com/watch?v=F2jBJ-Hnqp8) is a streetball-inspired multiplayer VR basketball game with the most natural basketball mechanics ever designed for virtual reality. It’s built for VR with plans for full cross-platform play across console, mobile, and desktop. \n\nHi we’re Nathan and Maciej, founders of [Vinci Games](https://www.ycombinator.com/companies/blacktop-hoops-by-vinci-games) and developer of Blacktop Hoops. We’re building the first AAA single player and multiplayer basketball game for VR. It’s built with intuitive mechanics so you can shoot just like Steph Curry and dunk like Lebron James.\n\n### **Problem**\n\nOver the last decade sports games have been monopolized across all major platforms with an extremely limited selection of games for players. Games like NBA 2K, FIFA, and Madden release games each year with extremely poor user reviews and limited innovation. With the rapid growth of VR adoption, no true AAA competitive sports franchises exist on VR. \n\n**Solution** \n\nBlacktop Hoops is designed with ultra-natural mechanics which allow players to chain together flashy dribble tricks, shots, and high-flying dunks to finish off AI or real-world opponents in epic games of arcade basketball.\n\nWe’ve worked with pro streetball players and dunkers like [King Handles](https://www.youtube.com/watch?v=BkU86a4MUmo) and [Jordan Kilganon](https://www.instagram.com/jordankilganon/?hl=en) for mocap animations for the game so opponents feel realistic and respond dynamically to how you play.\n\nWe also brought on world-class voiceover talent including [Bobbito Garcia](https://en.wikipedia.org/wiki/Bobbito_Garcia) (NBA Street), [Dante Basco](https://www.youtube.com/watch?v=Hm5o3NFV5OM) (Avatar the Last Airbender), and [Renee Montgomery](https://en.wikipedia.org/wiki/Renee_Montgomery) (ex-WNBA Allstar).\n\n### **Founders Backstory**\n\nLast year we had a crazy idea: could you build a VR basketball game that felt as natural as playing in real life? I spent my entire life playing basketball and previously worked at Oculus and Unity. Our CTO Maciej had spent 18 years at CD Projekt RED as the lead game designer on Witcher 1 - 3. Early last year we spent two months building a prototype of a VR streetball game. After we released it on Reddit, it hit the frontpage of every major VR subreddit including /r/Gaming, /r/Virtualreality /r/Oculus, /r/SteamVR, /r/PSVR, and /r/Playstation. From that point we knew we were onto something big.\n\n### **Our Ask**\n\n1. Download and play **Blacktop Hoops - Alpha** on Quest or Steam. Share your feedback with us at [founders@vinci-games.com](mailto:founders@vinci-games.com). \n   1. [**Play on Oculus**](https://www.oculus.com/experiences/quest/4416817901687071/) or [**Play on Steam**](https://store.steampowered.com/app/1945250/Blacktop_Hoops/)\n2. For **Investors** shoot us an email at [founders@vinci-games.com](mailto:founders@vinci-games.com).\n3. For **Collaborators** with ties to the NBA, sportswear brands (i.e. Nike, Adidas), games, VR, and the music industry send us an email at [n@vinci-games.com](mailto:n@vinci-games.com) if you’d like to partner. \n4. **Share this post!** Please help spread the word about Blacktop Hoops and [join our Discord community.](https://discord.com/invite/jggbR6QDUB)\n\n[Check out our most recent Alpha launch trailer.](https://www.youtube.com/watch?v=l1d5vzLtjxs)\n\nLearn more at → <https://www.blacktophoopsvr.com/> \n\n![uploaded image](/media/?type=post&id=64750&key=user_uploads/701640/33ac53e3-590a-43af-8216-6695641d39c1)\n\n![uploaded image](/media/?type=post&id=64750&key=user_uploads/701640/d23ea271-5846-4996-93c2-526fa66f848f)\n\n",
        "url": "https://www.ycombinator.com/launches/GqM-blacktop-hoops-multiplayer-vr-basketball-for-the-metaverse",
        "votes": 326,
        "created_at": "2022-07-20T03:28:21.596Z"
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    "one_liner": "Creating viral AI consumer apps and games",
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      {
        "id": 65554,
        "title": "Roforco — The game studio without hit-risk.",
        "tagline": "We create consistent hits by mass-producing games, starting on Roblox.",
        "body": "> **TL;DR:** [Roforco](https://www.roforco.com/) is a Roblox game studio that creates consistent hits by mass producing games - like a game factory! We acquire and complete unfinished projects, then cross promote them within our portfolio.\\\n> \\\n> Hey ! [👋](https://emojipedia.org/waving-hand/#:\\~:text=A%20hand%20waving%20most%20commonly,to%20Emoji%201.0%20in%202015.) [Tom](https://www.linkedin.com/in/tom-middleton-22950a212/) and [Brain](https://www.linkedin.com/in/brain-xiang-75b033217/) (aka. the Roblox guys) here to introduce [Roforco](https://www.roforco.com/)!\n\n### 🧨 **The Problem**\n\nThere’s over 200bn$ in (video) gaming. Individual games can pull in hundreds of millions annually. Investors love this opportunity, but **it’s impossible to predict if a studio’s next title will be popular**, make money back or land well. \\\n\\\nGames are expensive to make and are inconsistently successful.\\\n**This is called hit based risk, or as we dubbed it ‘hit-risk’**\n\n### 🤔 **Why Roblox?**\n\n**There will always be at least one popular platform people make games for**. At the moment, it’s Roblox with a 2bn$ market and over 200mm MAU. We’re also deeply familiar with the platform, having **previously built an agency that grossed 500k$ of revenue in 6 mo** and partnered with brands including Unilever.\n\n### 🔎 **The Insight**\n\nIndie game developers **have a tendency to never finish projects they start.** After doing the fun parts like the game loop, closing out the game for release is often too difficult, boring and resource intensive. Every game developer (on Roblox) that we know has  at least 2 unfinished or abandoned projects.\\\n\\\n**There are 10 million developers registered on Roblox in comparison to 44k on Steam.** Compared to the years AAA takes to produce one title (or 6-18 months in mobile), **on Roblox the average time to develop a game can be as little as 2-3 months.**\n\n### 🎉 **There's a Solution!**\n\nWe work with these unfinished/abandoned games and we’re able to acquire/ receive **a share of these projects**, while **partnering with the original developer** who is usually **glad to work together** just to see their vision come to life.\n\nThis gives us a much bigger market of unfinished games to acquire and mass **produce for faster and cheaper.** Meanwhile, the original developer gets to make money back from their idea at a fraction of the time and effort.\\\n\\\nEffectively - it’s the revenue of gaming with the predictability of B2B SaaS!\n\n### 🤯 **What next?**\n\nOnce at least a game takes off, it **proves the validity of it’s idea.** Then we can dedicate larger, longterm resources and grow the game’s IP exponentially, turning it into a **multimedia franchise (movies, toys, etc) building more revenue streams beyond the game.**\n\n### 📊 **Our Stats & Games:**\n\n* **51,828,645** total play sessions\n* **84.6%** average like ratio\n* **497,554,992** hours of engagement (#roadto1B)\n* **190,608** daily active users\n* **331,595** favourites\n* **4** original games\n* **3** brand partnership games\n\n![uploaded image](/media/?type=post&id=65554&key=user_uploads/1016774/a3806f6e-88a8-4d52-b9d5-a7e31b799d62)\n\n![uploaded image](/media/?type=post&id=65554&key=user_uploads/1016774/3f72a0a1-34b7-4448-9df1-77b690ad92b5)\n\nThanks so much! \\\n[tom@roforco.com](mailto:tom@roforco.com)\\\n[roforco.com](http://roforco.com)",
        "url": "https://www.ycombinator.com/launches/H3K-roforco-the-game-studio-without-hit-risk",
        "votes": 37,
        "created_at": "2022-08-22T20:39:17.973Z"
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    "long_description": "Verify your customers globally with a single platform. Get 800+ data points on each business and 100+ data points on each individual and onboard with confidence.",
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        "full_name": "Chaitanya Sarda",
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        "id": 95322,
        "title": "Software Engineer III (Bangalore, India)",
        "url": "https://www.ycombinator.com/companies/aiprise/jobs/HWXS4fS-software-engineer-iii-bangalore-india",
        "location": "Bengaluru, KA, IN / Bengaluru, Karnataka, IN",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "₹3M - ₹5M INR",
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        "experience": "6+ years",
        "visa": "US citizenship/visa not required",
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        "id": 96243,
        "title": "Software Engineer II",
        "url": "https://www.ycombinator.com/companies/aiprise/jobs/QDwmfaa-software-engineer-ii",
        "location": "San Jose",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
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        "id": 96244,
        "title": "Account Executive  - US",
        "url": "https://www.ycombinator.com/companies/aiprise/jobs/xrNmumL-account-executive-us",
        "location": "Remote (US)",
        "type": "Full-time",
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        "id": 100235,
        "title": "Head of Customer Engineering",
        "url": "https://www.ycombinator.com/companies/aiprise/jobs/ISn5LBS-head-of-customer-engineering",
        "location": "San Jose",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$175K - $225K",
        "equity_range": "",
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      {
        "id": 100236,
        "title": "Software Engineer III - Senior Engineer",
        "url": "https://www.ycombinator.com/companies/aiprise/jobs/oqyXQsq-software-engineer-iii-senior-engineer",
        "location": "San Jose",
        "type": "Full-time",
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      {
        "id": 100238,
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        "url": "https://www.ycombinator.com/companies/aiprise/jobs/JdEk95s-enterprise-account-manager-us",
        "location": "Remote (US)",
        "type": "Full-time",
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        "salary_range": "$110K - $120K",
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        "title": "Security Architect (Bangalore, India)",
        "url": "https://www.ycombinator.com/companies/aiprise/jobs/Qc7W486-security-architect-bangalore-india",
        "location": "Bengaluru, KA, IN / Bengaluru, Karnataka, IN",
        "type": "Full-time",
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        "salary_range": "₹5M - ₹8M INR",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizenship/visa not required",
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      {
        "id": 104681,
        "title": "Software Engineer I (Bangalore, India)",
        "url": "https://www.ycombinator.com/companies/aiprise/jobs/FwgWNWb-software-engineer-i-bangalore-india",
        "location": "Bengaluru, KA, IN / Bengaluru, Karnataka, IN",
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      {
        "id": 105469,
        "title": "Senior Content Marketing Manager",
        "url": "https://www.ycombinator.com/companies/aiprise/jobs/7bvL6nM-senior-content-marketing-manager",
        "location": "San Jose / New York City",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$100K - $150K",
        "equity_range": "",
        "experience": "5+ years",
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      {
        "id": 105470,
        "title": "Product Designer II",
        "url": "https://www.ycombinator.com/companies/aiprise/jobs/cu6W9ZM-product-designer-ii",
        "location": "Bengaluru",
        "type": "Full-time",
        "role": "Design",
        "role_type": "Web design",
        "salary_range": "₹2.5M - ₹3.5M INR",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 106409,
        "title": "Security Architect (Bangalore, India)",
        "url": "https://www.ycombinator.com/companies/aiprise/jobs/tYFN1nA-security-architect-bangalore-india",
        "location": "Bengaluru",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "₹3M - ₹5M INR",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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      },
      {
        "id": 106410,
        "title": "Software Engineer III (Bangalore, India)",
        "url": "https://www.ycombinator.com/companies/aiprise/jobs/Mc2WTCt-software-engineer-iii-bangalore-india",
        "location": "Bengaluru",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "₹5M - ₹8M INR",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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      },
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        "id": 106411,
        "title": "Software Engineer II (Bangalore, India)",
        "url": "https://www.ycombinator.com/companies/aiprise/jobs/xwWg5UF-software-engineer-ii-bangalore-india",
        "location": "Bengaluru",
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        "role_type": "Full stack",
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        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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        "id": 106412,
        "title": "Software Engineer I (Bangalore, India)",
        "url": "https://www.ycombinator.com/companies/aiprise/jobs/Yy2ZIqq-software-engineer-i-bangalore-india",
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        "id": 108189,
        "title": "Software Engineer I",
        "url": "https://www.ycombinator.com/companies/aiprise/jobs/F9rwzmT-software-engineer-i",
        "location": "San Jose",
        "type": "Full-time",
        "role": "Engineering",
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        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
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        "id": 109183,
        "title": "Bilingual Forward Deployed Engineer (English/Spanish)",
        "url": "https://www.ycombinator.com/companies/aiprise/jobs/AGXNOXK-bilingual-forward-deployed-engineer-english-spanish",
        "location": "San Jose",
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        "title": "Senior Manager, Revenue Partnerships",
        "url": "https://www.ycombinator.com/companies/aiprise/jobs/GsZq5xU-senior-manager-revenue-partnerships",
        "location": "San Jose, CA, US / Remote (New York, NY, US; Atlanta, GA, US; San Jose, CA, US)",
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        "title": "Performance Marketing Manager",
        "url": "https://www.ycombinator.com/companies/aiprise/jobs/enmJTWS-performance-marketing-manager",
        "location": "San Jose, CA / New York City",
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        "experience": "5+ years",
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        "title": "Senior Product Marketing Manager",
        "url": "https://www.ycombinator.com/companies/aiprise/jobs/xKvR9Zl-senior-product-marketing-manager",
        "location": "San Jose",
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        "salary_range": "$140K - $170K",
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        "title": "Senior Manager, Revenue Partnerships",
        "url": "https://www.ycombinator.com/companies/aiprise/jobs/dNoy89t-senior-manager-revenue-partnerships",
        "location": "Remote (US)",
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        "role": "Sales",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
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        "id": 116447,
        "title": "Software Engineer II, Frontend (Bangalore, India)",
        "url": "https://www.ycombinator.com/companies/aiprise/jobs/Oj00FKI-software-engineer-ii-frontend-bangalore-india",
        "location": "Bengaluru",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "₹3M - ₹5M INR",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 116451,
        "title": "Software Engineer II, Full Stack (Frontend Focused) (Bangalore, India)",
        "url": "https://www.ycombinator.com/companies/aiprise/jobs/zrL3BmH-software-engineer-ii-full-stack-frontend-focused-bangalore-india",
        "location": "Bengaluru",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "₹3M - ₹5M INR",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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    ],
    "news": [
      {
        "title": "AiPrise raises $12.5M to unify global KYB",
        "url": "https://www.axios.com/pro/fintech-deals/2025/10/08/aiprise-12-million-global-compliance",
        "date": "Oct 08, 2025"
      },
      {
        "title": "Announcing our $2M raise | AiPrise",
        "url": "https://aiprise.com/blog/post/announcing-our-2-m-raise",
        "date": "Nov 01, 2022"
      }
    ],
    "launches": [
      {
        "id": 77760,
        "title": "BusinessID by AiPrise 🚀 - Onboarding and verifying businesses made easy",
        "tagline": "Say goodbye to cumbersome onboarding processes and welcome a streamlined approach to business verification.",
        "body": "At [AiPrise](https://aiprise.com/), we are thrilled to unveil BusinessID, an innovative solution set to transform Know Your Business (KYB) checks, ushering in a new era of speed and efficiency. Say goodbye to cumbersome onboarding processes and welcome a streamlined approach to business verification.\n\n### **Why?**\n\nImagine you want to onboard a business on your platform. Here is what the traditional verification setup looks like - \n\n**Step 0:** Design a complicated Typeform (Requires 7-10 days)\n\n**Step 1:** Send a Google / Typeform link to the business/merchant to collect the following information about the company -\n\n* Name & Tax ID\n* Legal Information\n* UBO Information / Ownership Structure\n* Website Information\n* Registration documents \n* Address Proof\n* UBO Identity documents\n\n**Step 2:** Semi-automated validation of the above information (4-5 days)\n\n* Lookup business Tax ID and name in the local business registry\n* Order OFAC/AML/Sanctions/Adverse Media checks on the business\n* Document verification / KYC checks on each UBO + Legal Representative\n* Order OFAC/AML/Sanctions/Adverse Media checks on each UBO\n* Manually verify address proof\n* Follow up with customer for any missing information\n\n**Step 3:** Risk Analysis (0.5-1 hour)\n\n* Manually go through the website\n* Lookup business information and employee count on LinkedIn\n* Google search of the business to get insights on customer reviews/news articles, etc.\n* Manually go through provided documents and completely rely on intuition to spot fraudulent documents\n\n**Challenges of Traditional Verification:**\n\n* Time-consuming\n* Relies on inconsistent data sources\n* Difficulty scaling with diverse regulations across multiple geographies\n* Prone to fraud due to manual verification errors\n\n### **What is BusinessID?**\n\nBusinessID is a robust, comprehensive tool that drastically cuts down the time spent on verifying companies. This platform has a customizable onboarding UI, risk-based workflows, a case management tool, and country-specific templates.\n\n* **Customizable Onboarding Experience:** Tailored UI for efficient and brand-aligned verification.\n* **Comprehensive Verification Suite:** Streamlined business registry lookups, tax/VAT checks, and beneficial owner verification.\n* **Global Coverage with Local Precision:** Services in over 100 countries, ensuring compliance and thorough verification.\n* **Enhanced Risk Mitigation**: Advanced tools for fraud prevention and thorough due diligence.\n* **UBO Verification**: Seamless KYC on ultimate beneficial owners\n* **Access to Government Registries:** Where accessible, for authentic documentation\n\n### **How does it work?**\n\n[Watch BusinessID in action](https://youtu.be/wv7gybUpR2s)\n\n🤖 **Automated Verification at Its Finest**\n\nBusinessID conducts thorough checks within minutes, including:\n\n* Business registry lookup\n* Tax/VAT number verification\n* Beneficial owner verification\n* Address, phone, email, and website verification\n* Online presence analysis\n* Registration document verification\n* Document extraction from government registries \n* Occupation/nature of business checks\n* Sanctions, PEP, and adverse media checks\n\n**🚀 Elevate Your Business with BusinessID**\n\nBusinessID is more than a tool – it's a transformative solution for businesses seeking efficiency, security, and compliance. Don't let outdated KYB processes hold you back.\n\n**👉 Ready to Experience the Future of KYB Checks?**\n\nVisit us at [AiPrise](https://aiprise.com) to schedule your demo and see how BusinessID can revolutionize your business verification process.",
        "url": "https://www.ycombinator.com/launches/KEC-businessid-by-aiprise-onboarding-and-verifying-businesses-made-easy",
        "votes": 16,
        "created_at": "2024-01-23T15:00:37.955Z"
      },
      {
        "id": 65290,
        "title": "AiPrise: Identity Verification Made Simple",
        "tagline": "Harness the power of all identity vendors through one platform",
        "body": "tl;dr We let you ensure that your users are really who they claim to be. We do this by integrating with multiple vendors and exposing them all through one single platform.\n\nHey everyone, Rushabh & Chaitanya here. We’re a team of enthusiastic product builders. Chaitanya brings 4+ years of experience in the Trust and Safety space as a tech lead from Google, while Rushabh brings an in-depth experience in building developer focussed products through his role as a Staff Engineer at Meta. We are super excited to publicly announce the launch of AiPrise. **We officially went live with our first few customers in just under 45 days!**\n\n### **⚠️ Problem**\n\nDoes your platform require you to know who your customers are (aka - KYC / identity verification)?\n\nPeople who have hunted for KYC/KYB providers in the past are probably already thinking - “Oh ok - here goes one more KYX provider”.\n\n_Hint: We aren’t yet another KYX provider_\n\nTrue identity verification is super challenging. **No one** provider is usually sufficient to meet all your needs. Each country has different compliance requirements, each platform has a different risk appetite, and simply checking the KYC boxes is usually not enough to prevent real fraud on a platform.\n\nOn an average, a company ends up integrating with **10+ identity providers** over time. Layering multiple vendors is not just more fraud proof, but also cost effective in certain cases.\n\nInteresting stuff we heard from other companies:\n\n1. **Cost Optimization** Local providers tend to be cheaper for a given region, but have limited coverage. Use a local provider for requests from a certain country, if it fails - fall back to a more expensive global provider.\n2. **Device Attributes:** Regular KYC checks have become too easy for fraudsters. In one case, fraudulent users gained access to legitimate IDs, but the attack was thwarted as all the requests came in with a specific screen resolution set by a bot farm.\n\nWe can go on and on about the list here, But the gist is that on an average, a company ends up writing **100+ rules** using a varied combination of APIs just to prevent account opening scams.\n\nThink about the complexity of the decision engine over time and the resources it takes to maintain them!\\\n\\\n**💡 Solution**\n\nMeet AiPrise: AiPrise provides companies with a single platform with pre-integrated APIs to pick and choose from and easily manage their identity stack.\n\nYou can quickly drag and drop the vendors that best suit your needs into a workflow, add conditional logic on top of it and voila! You are done!\n\nNo more talking to 10 different vendors and negotiating contracts with them. No more reading through the docs of 10 different vendors and integrating them one by one. **You only need to integrate with us once, and get access to all the APIs you need on the go!**\n\nWe already have 15+ vendors integrated on our platform - enabling not just the usual documentary checks, but also KYB and fraud detection.\n\n![uploaded image](https://bookface.ycombinator.com/media/?type=post&id=65290&key=user_uploads/991872/05cd0a28-d59c-41ed-bda5-673ef156fd3c)\n\n_Glimpse of how you can manage your identity stack with AiPrise_\n\n**What’s more?**\n\n1. We also provide a client-side SDK with completely customizable onboarding screens, that you can integrate with in less than a day.\n2. AiPrise also comes with a set of predefined templates to get you compliance ready super quickly!\n3. Don’t see the API you need? Just shoot us an email and we will work with the API provider to make it available for you.\n\nAt AiPrise, we believe that identity verification is essential to establishing trust on any platform, and that it should be available to startups and big enterprises alike. Hence - **our platform has 0 upfront costs**!\n\n## **Asks**\n\n1. If you are using an existing KYC provider or are looking for one, we can help you future proof your compliance needs. Do reach out! \n2. If you have insights / experience in this space - we would love to learn from you! Please drop a comment and we will reach out to you.\n\nPlease reach out to us at [founders@aiprise.com](mailto:founders@aiprise.com) and we are happy to help set up your compliance and customer onboarding policy.\n\n**Thanks**\n\nFeel free schedule a chat/demo with us at <https://calendly.com/d/dxd-2rr-p24/meet-aiprise>. Feedback is very welcome!",
        "url": "https://www.ycombinator.com/launches/Gz4-aiprise-identity-verification-made-simple",
        "votes": 35,
        "created_at": "2022-08-11T06:42:56.668Z"
      }
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    "name": "nsave",
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    "all_locations": "London, England, United Kingdom",
    "long_description": "nsave is a fintech that provides trusted $€£ accounts abroad for people from countries where inflation is high and banking is broken.",
    "one_liner": "Trusted $€£ accounts abroad for people from unstable economies.",
    "team_size": 20,
    "industry": "Fintech",
    "subindustry": "Fintech",
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    "batch": "Summer 2022",
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    "stage": "Growth",
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    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/nsave.json",
    "year_founded": 2022,
    "city": "London",
    "country": "GB",
    "linkedin_url": "https://www.linkedin.com/company/nsavecom",
    "x_url": "https://twitter.com/withnsave",
    "fb_url": "https://www.facebook.com/nsavecom",
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    "founders": [
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        "user_id": 794827,
        "full_name": "Amer Baroudi",
        "title": "Founder",
        "founder_bio": "Syrian-born entrepreneur and Rhodes Scholar, Amer holds two degrees from the University of Oxford and is a governance, policy, and finance expert. He co-founded award-winning international companies, built properties in Europe, served as the founding president of the Oxford Syria Society, and advised clients ranging from government authorities to a Premier League FC. He is a tireless optimist, an expert problem solver, and, secretly, a music composer.\n\nAmer is co-founder & CEO at nsave.",
        "is_active": true,
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        "user_id": 577114,
        "full_name": "Abdallah AbuHashem",
        "title": "Founder",
        "founder_bio": "Abdallah is the Co-founder of Masref. He is a Rhodes Scholar from Gaza, Palestine and a Stanford alum having worked at a number of Silicon Valley companies and startups. In his free time, Abdallah plays chess (yes because of the Queen's Gambit), reads books, and repeats watching the same 3 TV shows.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/aabuhash/",
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        "title": "Backend Engineer",
        "url": "https://www.ycombinator.com/companies/nsave/jobs/aaWByx1-backend-engineer",
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        "title": "Sequoia, Y Combinator Join Fundraising by UK-Swiss Fintech Startup Nsave - Bloomberg",
        "url": "https://www.bloomberg.com/news/articles/2025-01-10/sequoia-y-combinator-join-fundraising-by-uk-swiss-fintech-startup-nsave",
        "date": "Jan 10, 2025"
      },
      {
        "title": "Swiss fintech nsave gets $4M to enable people from unstable economies open offshore accounts | TechCrunch",
        "url": "https://techcrunch.com/2024/03/22/nsave-gets-4m-seed-funding/",
        "date": "Mar 22, 2024"
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      {
        "id": 79615,
        "title": "🇨🇭nsave 🔒 - Trusted $€£ account abroad for people from unstable economies.",
        "tagline": "Helping people from countries where inflation in high and banking is broken protect their money and access safe financial services.",
        "body": "Hello! Amer from [nsave](https://www.nsave.com) here.\n\n[nsave](https://www.nsave.com) opens a trusted $€£ account abroad for people from unstable economies.\n\n![uploaded image](/media/?type=post&id=79615&key=user_uploads/794827/4e721169-1c41-4ff6-bfb8-c98bdce7309e)\n\n**Why?** 🔥\n\nI grew up in Syria and saw my family lose their life savings due to inflation and the inability to open a safe bank account abroad after the war.\n\nUnfortunately, when you come from a distressed country, banks label you as a \"high-risk\" client and, in most cases, refuse to provide banking services.\n\nI worked abroad in the black market for two years, and when I had to move again, I traveled with my savings in cash, literally strapped to my body.\n\nI had no choice. And like me, there are 700 million people globally who don't have access to safe banking purely because of their origin. This is wrong.\n\nThat's why we started nsave. Because everyone deserves the right to protect their hard-earned money in a safe place, regardless of where they come from.\n\n**Who are we?** 😃\n\n[Amer](https://www.linkedin.com/in/amer-baroudi/) (CEO), and [Abdallah](https://www.linkedin.com/in/aabuhash/) (CTO), two Rhodes Scholars who grew up in Damascus and Gaza and had destiny bring us to meet in Oxford. Together with an incredible team, we are on a mission to build a more inclusive global financial system.\n\nCollectively, we have experience in banking, regulatory compliance, and fintech and have worked for Morgan Stanley, Revolut, EY, Checkout, BNYM, Microsoft, and Robinhood.\n\n![uploaded image](/media/?type=post&id=79615&key=user_uploads/794827/946ee2f8-89c1-4ee7-8711-1588765b4059)\n\n**Our ask** 🙏\n\n* **Help spread the word:** tell your friends from **Lebanon** 🇱🇧, **Egypt** 🇪🇬, **Argentina** 🇦🇷, or similar countries 🌍 that suffer from high inflation about [nsave](https://www.nsave.com).\n  * Quick blurb to copy & paste: _The nsave team 🇨🇭 is on a mission to provide trusted $€£ accounts abroad to people from unstable economies. Check them out at _[_www.nsave.com_](http://www.nsave.com/)_._\n* Show some love on social media: [LinkedIn](https://www.linkedin.com/company/nsavecom/), [Instagram](https://www.instagram.com/nsavecom/), [Twitter](https://twitter.com/withnsave), [Facebook](https://www.facebook.com/nsavecom).\n\nOur hope is to help as many people as possible. And if you are among the fortunate ones who don't need an nsave account, I hope you will support us in our endeavour.\n\nSincerely,\n\nAmer\n\nCo-Founder & CEO",
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        "id": 64175,
        "title": "HOMLI - Sell, rent, and buy real estate in Europe",
        "tagline": "HOMLI is a modern brokerage that helps consumers sell, rent, and buy real estate in Europe",
        "body": "HOMLI is a modern brokerage that helps consumers sell, rent, and buy real estate in Europe. We introduce innovative tech to finally create a client-first, scalable brokerage experience and provide transparency through Europe’s very first “Zestimate” platform.\n\n**Problem**\n\nReal estate brokerage has by far the lowest consumer satisfaction among all industries in Europe. With real estate accounting for more than half of most Europeans’ household assets, this is a problem that affects us all and it does so in major ways. Yet innovation in the space has been rather limited leaving consumers with offerings that haven’t evolved in decades.\n\n**Solution**\n\n![uploaded image](/media/?type=post&id=64175&key=user_uploads/930002/8c2c5e97-05a1-4d5f-9d3a-c7e39832b71c)\n\nWe are re-gaining consumers’ trust by building Europe’s first “Zestimate” platform through which currently tens of thousands of people every month get transparency around the value of any property they are interested in.\n\nWe couple that with an in-house next-generation brokerage team that is more effective, more productive, and more pleasant to work with.\n\n**Context**\n\nWe have been working on variations of this for almost 3 years now: initially as a hobby to guide some personal investments and full-time in the last few months.\n\nWe are particularly passionate about European Real Estate so if anyone has had first-hand experience, we’d love to hear possible challenges you encountered!",
        "url": "https://www.ycombinator.com/launches/Gh5-homli-sell-rent-and-buy-real-estate-in-europe",
        "votes": 71,
        "created_at": "2022-06-29T14:06:35.631Z"
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    "country": "IN",
    "linkedin_url": "https://www.linkedin.com/company/primevault",
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    "primary_partner": {
      "name": "Harj Taggar",
      "url": "https://www.ycombinator.com/people/harj-taggar"
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    "founders": [
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        "user_id": 982839,
        "full_name": "Prashant Upadhyay",
        "title": "Founder",
        "founder_bio": "Co-founder @ PrimeVault - turnkey technology platform for enterprises and financial institutions to launch and scale their digital assets use case: stablecoin-powered payments and issuance, RWA tokenization, crypto trading / brokerage and more. Formerly, first PM @ Rippling (YC W17) building and scaling payroll, payments, compliance, risk and accounting products. Math, payments and travel nerd.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/prashant-upadhyay/",
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        "full_name": "Vivek Kumar",
        "title": "Founder",
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        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/vivek-kumar-578013119/",
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        "title": "Full-time Backend Engineer",
        "url": "https://www.ycombinator.com/companies/primevault/jobs/zH4amoV-full-time-backend-engineer",
        "location": "IN / Remote (IN)",
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        "id": 79609,
        "title": "Marketing & Growth Lead ",
        "url": "https://www.ycombinator.com/companies/primevault/jobs/3FXwQzR-marketing-growth-lead",
        "location": "Bengaluru, KA, IN / Bengaluru, Karnataka, IN / Dubai, Dubai, AE",
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        "title": "YC-backed PrimeVault Builds the Future of Institutional DeFi - Decrypt",
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      {
        "title": "Enterprise insights from YC S22 Demo Day | Wing Venture Capital",
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        "date": "Sep 15, 2022"
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        "title": "Crypto and web3 stands out in the YC Summer 2022 batch",
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        "full_name": "JP Montoya",
        "title": "Founder",
        "founder_bio": "Building the tool I wish I had when scaling my own practice (20,000 patients). Passionate about simplifying therapy operations with AI Automations.",
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        "title": "Forward Deployed Engineer (FDE)",
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        "id": 117299,
        "title": "Founnding Forward Deployed Engineer (FDE) - Healthcare Operations",
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        "role_type": "AI engineer",
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    "news": [
      {
        "title": "Momentu será la única startup colombiana en la cohorte de verano de Y Combinator",
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      },
      {
        "title": "Momentu, la plataforma colombiana que busca democratizar el acceso a la salud mental",
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        "date": "Feb 27, 2022"
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      {
        "title": "Momentu, la startup que quiere cuidar tu salud mental",
        "url": "https://www.forbes.com.mx/momentu-startup-cuidar-salud-mental/",
        "date": "Jun 22, 2021"
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        "title": "Momentu: democratizing mental health in Latin America",
        "tagline": "Momentu is a corporate mental health platform for LATAM",
        "body": "Hey! \n\nWe are JP Montoya and Noam Grebler and we are democratizing mental health access in LATAM. \n\n**Why does it matter?**\n\n75% of LATAM employees are facing a mental health challenge, but unfortunately, less than 25% are able to get the support they need.\n\n**This is what we do better than anyone else**\n\nWe address mental health challenges in employees by providing them 1-1 coaching, therapy, digital content, and more. As a result, we improve employee productivity, satisfaction and we reduce turnover.\n\nIn just 1 year since launching, we are already working with top companies in LATAM such as La Haus, Clara, Grupo Ecopetrol, Grupo Bolivar and Axa Colpatria, covering employees in +11 countries.\n\n**Why on earth did we decide to build this?**\n\nMental health is really close to us. JP evidenced how seeking support was a difficult challenge when he almost lost his best friend due to mental health challenges, while Noam started 6 years ago a mental health organization that provided peer to peer support to college students in USA. A Mental Health VC introduced us a year ago. Working on democratizing mental health in LATAM was a no brainer for us.\n\n**How to get started**\n\nWe are offering YC Companies 1 free month access to our platform + 15 1-1 sessions (therapy & coaching)\n\nPlease drop us a message to [jpmontoya@momentu.co](mailto:jpmontoya@momentu.co) and I will personally onboard your company into our Momentu Experience.",
        "url": "https://www.ycombinator.com/launches/Gpz-momentu-democratizing-mental-health-in-latin-america",
        "votes": 20,
        "created_at": "2022-07-19T11:17:38.816Z"
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        "experience": "Any (new grads ok)",
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        "title": "Research Engineer - Benchmarks",
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        "title": "Introducing Alexandria and our $75M Series B",
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        "date": "Sep 22, 2026"
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      {
        "title": "AI crawler Firecrawl raises $14.5M, is still looking to hire agents as employees | TechCrunch",
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        "date": "Aug 19, 2025"
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        "title": "/extract by Firecrawl - Get structured website data with just a prompt",
        "tagline": " Turn entire websites into structured data with AI",
        "body": "Hey everyone! We’re Eric, Caleb, and Nick from Firecrawl (S22). Today, we’re launching **/extract** — an endpoint that turns entire websites into structured data with a prompt.\n\n**TL;DR**\n\nWith Firecrawls' new /extract endpoint, any website can be turned into structured data with a simple API call and prompt. We handle the complexity so you can focus on building your company.\\\n\\\n**The Problem.**\n\nIf you need to pull data from websites - maybe to enrich your CRM, track competitors, or onboard users - you're stuck with:\n\n1. Manually researching and copy-pasting from multiple sources \\\\\n2. Building and maintaining scrapers that break at the slightest site change\n3. Stitching together scraping services and complex LLM pipelines with limited context windows\\\n   \\\n   Each approach wastes the engineering time you could spend shipping a product. :\n\n## **Our Solution:**\n\n/extract is an API that turns a prompt into structured web data.\n\n![uploaded image](/media/?type=post&id=86973&key=user_uploads/1045172/62c44a11-9011-4ae0-82ac-8151a9c57c1b)\n\nHere's how to use it: \n\n1. **Give us URLs + Prompt**\\\n   Write what data you want, and point us at websites. Use wildcards like [example.com/\\*](http://example.com/\\*) to scan entire sites.\n2. **We Find Relevant Content**\\\n   Our crawler finds and ranks the pages that matter, automatically.\n3. **AI Extracts Data**\\\n   Intelligent agents split, search and parallelize the work, handling sites of any size.\n4. **Get Clean JSON**\\\n   Receive structured data ready to use - no post-processing needed.\n5. **Integrate anywhere via API**\\\n   With our API, you can use firecrawl anywhere, whether its in your applications or no-code tools like Zapier\n\n## **Why It Works**\n\n* **Handle Any Website:** Built on proven scraping infrastructure that just works\n* **Natural Language Input:** Describe what you want in plain English - we figure out the schema\n* **No Size Limits:** Process massive sites by automatically splitting the work\n* **Use It Anywhere:** Full API + ready-made integrations for Python, Node, and Zapier\n\n## **Limitations - (and the road ahead)**\n\nLet's be honest - while /extract is pretty awesome at grabbing web data, it's not perfect yet. Here's what we're still working on:\n\n1. Big sites are tricky - It can't (yet!) grab every single product on Amazon in one go\n2. Complex searches need work - Things like \"find all posts posted after 2024\" aren't quite there\n3. Sometimes, it's a bit quirky - Results can vary between runs, though it usually gets what you need\n\nBut here's the exciting part: we're seeing the future of web scraping take shape. \n\n## **Get Started**\n\n1. **Try the Open Beta**\n   * For a limited time, get **500,000 free** tokens to get you started\n   * Explore the [www.firecrawl.dev/playground?mode=extract](http://www.firecrawl.dev/playground?mode=extract) \n   * Read the docs => <https://docs.firecrawl.dev/features/extract>\n2. **Join Our Community**\n   * Star us on [www.github.com/mendableai/firecrawl](http://www.github.com/mendableai/firecrawl) - we're open-source!\n   * Share your use cases and feedback.\n\nReady to turn web data into your competitive advantage? Get started in less than 5 minutes.\n\nGet your API key at [www.firecrawl.dev/app](http://www.firecrawl.dev/app)\n\n— Eric, Caleb, and Nick at Firecrawl 🔥",
        "url": "https://www.ycombinator.com/launches/Mcn-extract-by-firecrawl-get-structured-website-data-with-just-a-prompt",
        "votes": 14,
        "created_at": "2025-01-20T16:54:10.692Z"
      },
      {
        "id": 82563,
        "title": "Firecrawl 🔥: Open source crawling and scraping for AI-ready web data",
        "tagline": "The easiest way to connect web data to your AI apps",
        "body": "Hey everyone! We're Caleb, Nick, and Eric, the founders behind [Firecrawl](https://www.firecrawl.dev/) - an all-in-one developer platform for crawling & scraping web data for AI applications.\n\n**TLDR:** Firecrawl is an open source API that transforms any web data into a clean, LLM-ready format for RAG, agentic tasks, or training. Since launching in April we gained 8000 stars on GitHub ⭐️\n\n![uploaded image](/media/?type=post&id=82563&key=user_uploads/1045172/59b29329-b168-42b9-9642-0e11f99699de)\n\n\\\n**The Problem:** Our story began while building [Mendable.ai](http://Mendable.ai), one of the first managed RAG platforms used by companies like Coinbase, Snap, and MongoDB. We quickly discovered that web data was not only a popular source for AI applications but that its quality was crucial for successful deployments.\n\nBuilding a reliable stack that worked for almost any URL presented numerous challenges, and as we expanded, we encountered countless edge cases. While some great tools existed, none handled the entire process reliably. We envisioned an API that could take a URL, crawl its pages, and provide up-to-date, easy-to-use markdown.\n\nConversations with industry peers revealed that they were rebuilding similar infrastructure. This inspired us to create Firecrawl— a developer-friendly solution we wish we'd had from the start.\n\nWe launched a cloud offering over a weekend in April, and in just three months, we've garnered over 8,000 GitHub stars and empowered thousands of developers to transform web content into AI-ready data.\n\n**Our Solution:**\n\n![uploaded image](/media/?type=post&id=82563&key=user_uploads/1045172/14099b5d-73e8-4661-8ce4-65bb4623852f)\n\nOur open-source, developer-focused platform simplifies scraping & crawling for AI apps by handling:\n\n* Bypassing JavaScript rendering\n* Enriching metadata\n* Crawling without consistent sitemaps\n* Parallel scraping jobs\n* Hosting headless browsers and managing proxies\n* Bot blocking\n* Formatting LLM-friendly markdown\n\nWith Firecrawl, developers at companies like [Gamma](https://gamma.app/), [StackAI](https://www.stack-ai.com/), and [Zapier](https://zapier.com/) are delegating scraping to us so they can focus on their core tasks - be it RAG, agents, or data processing.\\\n\\\nNow scraping a whole website and retrieving the markdown is as simple as this:\n\n![uploaded image](/media/?type=post&id=82563&key=user_uploads/1045172/0c55112e-cd7a-4420-bd79-cbb07e4acaf3)\n\n**Our Asks:**\n\n* Give [Firecrawl](https://www.firecrawl.dev/) a try 🧑‍💻\n* Explore our [GitHub repository](https://github.com/mendableai/firecrawl) and consider leaving a star ⭐️\n* Drop me a line at [eric@firecrawl.com](mailto:eric@firecrawl.com) if you want to chat (we are super excited about collaborations) 🔥",
        "url": "https://www.ycombinator.com/launches/LTf-firecrawl-open-source-crawling-and-scraping-for-ai-ready-web-data",
        "votes": 60,
        "created_at": "2024-07-30T17:47:16.926Z"
      },
      {
        "id": 69730,
        "title": "🔍 Mendable - Embeddable chat powered search for your developer products",
        "tagline": "An easily embeddable search component that allows developers to search and chat, trained on your docs and resources. ",
        "body": "Hey YC!\n\nIt’s Garrett, Eric, Caleb, and Nick from SideGuide - Today we are launching Mendable, a chat-powered search tool embeddable in your docs, product, or community to answer developer questions and reduce their time to hello world. Check out our [live search demo with LangChain](https://hwchase17.github.io/langchainjs/docs/modules/indexes/document/) and shoot us a message at [garrett@sideguide.dev](mailto:garrett@sideguide.dev) if you want to chat! :)\n\n**Problem:**\n\nWe’ve spent over a year in the developer experience space, building tools to make the lives of founders and developer relations folks easier. During this journey, we learned developers have a hard time navigating documentation and understanding the capabilities of a product in an efficient way. In response, developer communities and support forums become overloaded with questions, and dropoffs and onboarding times grow.\n\n**Solution:**\n\nWe’re building [Mendable](https://www.mendable.ai/), a chat-powered search tool leveraging cutting edge LLM models to accelerate a developer’s time to hello world and improve developer experience. We ingest your company’s resources (documentation, support forums, community messages, etc.) and give developers custom responses to their questions with direct links to sources via a chat interface. This interface can be easily embedded anywhere via a javascript component or accessed via slack/discord, allowing our search to be put in your docs, product, community, or wherever else you see fit.\n\n**What does it look like?**\n\n![uploaded image](/media/?type=post&id=69730&key=user_uploads/1045324/4b531b27-de01-4e68-abea-2014a4088e8c)\n\n* **Continuous Improvements -** With our intuitive thumbs-up and down rating system and the ability for admins to edit answers, Mendable's search functionality continually learns and improves.\n* **Integrates Everywhere -** Mendable offers a chat-powered search bar to add anywhere in your docs or website. Support for Discord, Slack, Github, and more is coming soon.\n* **Resources Condensed** - Mendable’s generations are based on your resources - including docs, support Q/A, and community messages - condensed into powerful answers.\n\n**The ask:**\n\nInterested? Shoot us a message at [garrett@sideguide.dev](mailto:garrett@sideguide.dev) or schedule a meeting with us [here](https://calendly.com/garrett-sideguide)!",
        "url": "https://www.ycombinator.com/launches/I8g-mendable-embeddable-chat-powered-search-for-your-developer-products",
        "votes": 43,
        "created_at": "2023-02-27T21:51:26.203Z"
      },
      {
        "id": 65638,
        "title": "🚀 SideGuide - Let developers test-drive your API with an online editor",
        "tagline": "Embeddable code editors designed to show developers why your product rocks",
        "body": "Hi YC!\n\nIt’s Eric, Caleb, Nick, and Garrett from SideGuide - We are building a lightweight, embeddable, online code environment that lets developers play with your API use cases and tutorials with zero setup. Interested? Check out our [live example with Hyperbeam here](https://app.sideguide.dev/hyperbeam/threejs/) and shoot us a note at [founders@sideguide.dev](mailto:founders@sideguide.dev) to chat :)\n\n**Problem:**\n\nDuring college, we started SideGuide as a B2C coding education platform, where we watched hundreds of developers struggle to learn from API documentation, then waste hours re-inventing the wheel instead of using an off-the-shelf solution. We found that API and SDK documentation is often, to be frank, not engaging. This leads to an incomplete understanding of the implementation process and product value, resulting in lost sales. Basically, developers forget your product instead of falling in love with it.\n\nIt’s 2022, developers and technical PMs should be able to quickly play with the real code before investing time and money in a product. That is why we built SideGuide.\n\n**Solution:**\n\nWe are building SideGuide: a lightweight, embeddable, online code editor that lets developers play with your API without **setup.** Our format integrates guides directly into the editor, giving users the context they need to understand your use-cases while experimenting immediately. We give developers and technical PMs an easy way to test, understand and evaluate your products. As a bonus, we also provide analytics and insights from sessions so you can improve the implementation process and understand your customers.\n\n**What does it look like?**\n\n![uploaded image](/media/?type=post&id=65638&key=user_uploads/1045172/1e47388e-3f04-4540-b374-1d1bad6b1dc2)\n\n* **Fully interactive** - Our web-based sandbox makes it quick and easy for developers to try your examples out with minimal friction.\n* **Integrated tutorial - Step-by-step instructions for different sections of the code.**\n* **Trackable - See how users are interacting with your use-cases so you can identify avenues for improvement** \n* **Embed anywhere - Embed in your docs or send via link.**\n\nCheck out our updated website at <https://sideguide.dev> and the live example using Hyperbeam’s amazing API here: <https://app.sideguide.dev/hyperbeam/threejs/>\n\n**The Ask:**\n\nInterested? Shoot us a note at [founders@sideguide.dev](mailto:founders@sideguide.dev) or schedule a meeting with us [here](https://calendly.com/eric-ciarla)! We are looking for launch partners for demo day :)",
        "url": "https://www.ycombinator.com/launches/H4g-sideguide-let-developers-test-drive-your-api-with-an-online-editor",
        "votes": 217,
        "created_at": "2022-08-26T16:51:14.086Z"
      }
    ]
  },
  {
    "id": 27162,
    "name": "Oneleet",
    "slug": "oneleet",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/35b93ab2671a1397037aa92e0703d5f6c2ec0fba.png",
    "website": "https://www.oneleet.com/?utm_source=yc&utm_medium=bookface",
    "all_locations": "Amsterdam, NH, Netherlands",
    "long_description": "Oneleet helps companies become secure and compliant through an all-in-one solution that combines automated tools and human expertise.\r\n\r\nOneleet has built the second generation of security compliance automation software, providing tools that go beyond what is classically provided for just compliance alone. Tools like a code security scanner, attack-surface management, access reviews and trust portal are all built in.\r\n\r\nAs the most popular, highest rated and most frequently used platform in the YC community, Oneleet has quickly established itself as the preferred and superior alternative to other incumbents.\r\n\r\nThe founder behind Oneleet has spent the past 10+ years helping companies become more secure by performing penetration tests.",
    "one_liner": "YC's most popular security compliance platform (SOC 2, ISO 27001,…",
    "team_size": 75,
    "industry": "B2B",
    "subindustry": "B2B -> Security",
    "launched_at": 1657281241,
    "tags": [
      "SaaS",
      "B2B",
      "Compliance",
      "Security",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2022",
    "status": "Active",
    "industries": [
      "B2B",
      "Security"
    ],
    "regions": [
      "Netherlands",
      "Europe",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Growth",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/oneleet",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/oneleet.json",
    "year_founded": 2022,
    "city": "Amsterdam",
    "country": "NL",
    "linkedin_url": "https://linkedin.com/company/oneleet",
    "x_url": "https://x.com/oneleet",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/35b93ab2671a1397037aa92e0703d5f6c2ec0fba.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [
      "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/2eb8754aa0adaf58ef29f06c353b4975a0c1291e.png",
      "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/9279569ea68c6a5ecb53edad2ba2b3ca96f8c467.png"
    ],
    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
    },
    "founders": [
      {
        "user_id": 233375,
        "full_name": "Bryan Onel",
        "title": "Founder",
        "founder_bio": "Penetration Tester with 10+ years of experience helping companies become more secure by simulating advanced attacks. Has experience leading security teams and architecting offensive and defensive security solutions.\n\nBefore pursuing a career in hacking, Bryan studied AI and Medicine.",
        "is_active": true,
        "linkedin_url": "https://nl.linkedin.com/in/bryan-onel/",
        "x_url": "https://twitter.com/bryanonel86",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9c0799c948a5d9d9a59974cd6427476817e4a497.jpg"
      },
      {
        "user_id": 968809,
        "full_name": "Ora Onel",
        "title": "Founder",
        "founder_bio": "I have a background in medical genetics. I developed a passion for cybersecurity and decided to start a security company together with my husband.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ora-touitou/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f2cc3ca2245b2980e81032f7787eb8e81ce60c8b.jpg"
      }
    ],
    "jobs": [
      {
        "id": 91603,
        "title": "Senior Product Designer",
        "url": "https://www.ycombinator.com/companies/oneleet/jobs/1vpHh5M-senior-product-designer",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Product",
        "role_type": null,
        "salary_range": "$120K - $190K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 91970,
        "title": "Community Event & Engagement Manager - San Francisco, CA",
        "url": "https://www.ycombinator.com/companies/oneleet/jobs/CMtrf5F-community-event-engagement-manager-san-francisco-ca",
        "location": "San Francisco, CA, US / Remote (San Francisco, CA, US)",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$100K - $150K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 97504,
        "title": "Product Manager",
        "url": "https://www.ycombinator.com/companies/oneleet/jobs/YXCqogN-product-manager",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Product",
        "role_type": null,
        "salary_range": "$130K - $180K",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 97508,
        "title": "Security Program Manager",
        "url": "https://www.ycombinator.com/companies/oneleet/jobs/umdbAFP-security-program-manager",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$75K - $140K",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 97509,
        "title": "Senior Product Designer",
        "url": "https://www.ycombinator.com/companies/oneleet/jobs/eJbx6wR-senior-product-designer",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Design",
        "role_type": "Web design",
        "salary_range": "$130K - $165K",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 97510,
        "title": "Fullstack Engineer, AI Implementation",
        "url": "https://www.ycombinator.com/companies/oneleet/jobs/LIybTCA-fullstack-engineer-ai-implementation",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$110K - $180K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 97511,
        "title": "Application Security Engineer",
        "url": "https://www.ycombinator.com/companies/oneleet/jobs/qKwsUvP-application-security-engineer",
        "location": "US / GB / NL / Remote (US; GB; NL)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$160K - $220K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 97512,
        "title": "Fullstack Engineer",
        "url": "https://www.ycombinator.com/companies/oneleet/jobs/oR8tXgm-fullstack-engineer",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $180K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "Oneleet raises $33M to shake up the world of security compliance | TechCrunch",
        "url": "https://techcrunch.com/2025/10/02/oneleet-raises-33m-to-shake-up-the-world-of-security-compliance/",
        "date": "Oct 02, 2025"
      }
    ],
    "launches": [
      {
        "id": 84326,
        "title": "Oneleet - Compliance without Security Theater",
        "tagline": "The all-in-one Security and Compliance platform for SOC 2, ISO, HIPAA, and more.",
        "body": "![uploaded image](/media/?type=post&id=84326&key=user_uploads/233375/6e14f2e5-0ed9-4b12-98f8-e194071f08d4)\n\n# **What is Oneleet in a nutshell?**\n\n[Oneleet](https://www.oneleet.com/) helps companies build genuine security and achieve compliance without the usual security theater BS.\n\nWe provide a comprehensive all-in-one solution for SOC 2, ISO 27001, HIPAA, GDPR, & PCI compliance, including automation, penetration testing, audit support, and continuous monitoring.\n\nOur hands-on approach and in-house security expertise have quickly made us the #1 choice for compliance in the YC community.\n\n[Book a call with us if you’re in the market for compliance](https://calendly.com/d/cwr7-ztb-xxq/oneleet-introduction?preview_source=et_card)\n\nㅤ\n\n# **Why We Built Oneleet**\n\nHey! I’m Bryan Onel, the CEO of Oneleet. I co-founded Oneleet with my wife, Ora Onel, and my best friend, Erik Vogelzang, with one mission: to help startups build genuine security without the nonsense.\n\nAfter spending a decade as a penetration tester and security program manager, I grew frustrated with platforms that claimed to help with compliance but were really just about ticking boxes. They weren't helping businesses _become_ secure—they were just pretending.\n\nThat’s why we built Oneleet: to be the solution that truly focuses on security, not just compliance theater.\n\nㅤ\n\n# **The Problem**\n\nLet's be honest… most compliance platforms are all about security theater:\n\n* Ticking boxes instead of building actual security, making you waste time on useless things that are irrelevant to security\n* Dumping checklists on you and wishing you good luck\n* Making you juggle countless tools and vendors\n* Leaving you to deal with external auditors who don't understand real security\n* Hitting you with unpredictable pricing that keeps changing\n\nㅤ\n\n# **Our Solution**\n\n![uploaded image](/media/?type=post&id=84326&key=user_uploads/233375/e8d1a05a-7731-463b-97f6-6dad7407b58e)\n\nOneleet is here to change the game:\n\n* We build real-world security controls that actually protect your business\n* We take ownership of the entire process, from start to finish\n* We provide everything you need in one place, no vendor juggling required. Even code scanning and attack surface management are built in\n* We deal with external auditors, so you don't have to, speaking their language when needed\n* We act as an extension of your team, providing ongoing expert security help\n\nㅤ\n\n# **How It Works**\n\n1. **Scoping** – We assess your infrastructure, security concerns, and compliance needs\n2. **Custom Program** – We craft security that fits your size and needs\n3. **Expert Setup** – Our team of security and compliance experts guides you through implementation minus the jargon\n4. **Penetration Testing** – OSCE-certified experts find your weak spots\n5. **Compliance Automation** – We streamline SOC 2, ISO 27001, HIPAA, and more\n6. **Auditor Wrangling** – We battle incompetent external auditors so you don't have to\n7. **24/7 Protection** – Continuous monitoring keeps you secure, always\n\nㅤ\n\n# **What We Offer**\n\n![uploaded image](/media/?type=post&id=84326&key=user_uploads/233375/ddd8e80c-171f-45c2-a7bb-ce6baba122f5)\n\n* Compliance automation that actually works (SOC 2, ISO 27001, HIPAA, GDPR, & PCI)\n* OSCE-certified penetration testing\n* Third-party auditing with external auditors who get security\n* vCISO services\n* Employee Portal\n* Code security scanning\n* Attack surface monitoring\n* Mobile Device Management (MDM)\n\nㅤ\n\n## **Ready to Ditch Security Theater?**\n\nIf you're tired of pretending to be secure and want the real deal:\n\n* Book a call: https://calendly.com/d/cwr7-ztb-xxq/oneleet-introduction\n* Email us: [founders@oneleet.com](mailto:founders@oneleet.com)\n\nStuck with another platform? We can often help you get out of a contract and migrate everything to Oneleet. [Book a call with us to explore your options.](https://calendly.com/d/cwr7-ztb-xxq/oneleet-introduction)",
        "url": "https://www.ycombinator.com/launches/Lw6-oneleet-compliance-without-security-theater",
        "votes": 2097,
        "created_at": "2024-09-26T21:17:12.076Z"
      }
    ]
  },
  {
    "id": 27178,
    "name": "Pump.co",
    "slug": "pump-co",
    "former_names": [
      "Pump"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2e52daa194550c954ede0338084d6994d0aeefde.png",
    "website": "https://www.pump.co/",
    "all_locations": "San Francisco, CA, USA",
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        "full_name": "Spandana Nakka",
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        "type": "Full-time",
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      {
        "id": 69858,
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        "url": "https://www.ycombinator.com/companies/pump-co/jobs/qPjM5lP-frontend-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
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        "id": 70932,
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        "url": "https://www.ycombinator.com/companies/pump-co/jobs/sVIZja5-solutions-architect",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
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        "role_type": "Full stack",
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        "id": 77044,
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        "url": "https://www.ycombinator.com/companies/pump-co/jobs/uVGN9qX-senior-frontend-engineer",
        "location": "San Francisco, CA, US",
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        "equity_range": "",
        "experience": "3+ years",
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        "id": 77323,
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        "url": "https://www.ycombinator.com/companies/pump-co/jobs/Ny4eT9d-backend-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
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        "experience": "3+ years",
        "visa": "US citizen/visa only",
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      },
      {
        "id": 80181,
        "title": "Channel Partnerships Manager—GCP",
        "url": "https://www.ycombinator.com/companies/pump-co/jobs/wukMaym-channel-partnerships-manager-gcp",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$110K - $160K",
        "equity_range": "0.05% - 0.20%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
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        ]
      },
      {
        "id": 80182,
        "title": "Channel Partnerships Manager- AWS",
        "url": "https://www.ycombinator.com/companies/pump-co/jobs/BHk6it8-channel-partnerships-manager-aws",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
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        "salary_range": "$110K - $160K",
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        "visa": "US citizen/visa only",
        "skills": [
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      },
      {
        "id": 97372,
        "title": "DevOps Engineer",
        "url": "https://www.ycombinator.com/companies/pump-co/jobs/saieOA4-devops-engineer",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$140K - $200K",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": [
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          "Terraform"
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      },
      {
        "id": 103203,
        "title": "Brand Designer",
        "url": "https://www.ycombinator.com/companies/pump-co/jobs/u4TAJkO-brand-designer",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Design",
        "role_type": "Web design",
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        "experience": "Any (new grads ok)",
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        "location": "San Francisco, California, United States",
        "type": "Full-time",
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        "title": "Engineering Manager",
        "url": "https://www.ycombinator.com/companies/pump-co/jobs/GU634nt-engineering-manager",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
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        "experience": "5+ years",
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        "type": "Full-time",
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        "title": "Customer Success Manager",
        "url": "https://www.ycombinator.com/companies/pump-co/jobs/HZde7q3-customer-success-manager",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Support",
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        "id": 107335,
        "title": "Partnerships Lead",
        "url": "https://www.ycombinator.com/companies/pump-co/jobs/25KODLP-partnerships-lead",
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        "type": "Full-time",
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    "news": [
      {
        "title": "How Tech Startups Can Crack the Code of Cloud Infrastructure Costs | Inc.com",
        "url": "https://www.inc.com/sean-kim/how-tech-startups-can-crack-code-of-cloud-infrastructure-costs.html",
        "date": "Apr 13, 2024"
      },
      {
        "title": "The 18 most interesting startups from YC's Demo Day show we're in an AI bubble | TechCrunch",
        "url": "https://techcrunch.com/2024/04/03/ycs-winter-2024-demo-day-confirms-that-we-are-indeed-in-an-ai-bubble/",
        "date": "Apr 03, 2024"
      },
      {
        "title": "Pump: cutting cloud service expenses like no other platform can",
        "url": "https://www.digitaljournal.com/business/pump-cutting-cloud-service-expenses-like-no-other-platform-can",
        "date": "Nov 23, 2023"
      },
      {
        "title": "How Pump is redefining cloud cost savings | VentureBeat",
        "url": "https://venturebeat.com/business/how-pump-is-redefining-cloud-cost-savings/",
        "date": "Nov 20, 2023"
      },
      {
        "title": "Group Buying Brings Relief to Ever Rising Cloud Costs | Entrepreneur",
        "url": "https://www.entrepreneur.com/en-in/technology/group-buying-brings-relief-to-ever-rising-cloud-costs/464578",
        "date": "Oct 31, 2023"
      }
    ],
    "launches": [
      {
        "id": 75947,
        "title": "Pump India - Save 60% on AWS for free, now live in India 🇮🇳💚",
        "tagline": "With group buying and AI, startups can save like the big tech",
        "body": "**TL;DR -**\n\n[**Forbes called us ‘Costco of Cloud compute’ recently**](https://www.forbes.com/sites/davidprosser/2023/10/05/how-pump-promises-to-slash-your-runaway-cloud-computing-costs/). With group buying and AI, Pump can save you up to 60% on your AWS compute spend without any engineering effort or financial risk. We signed up over 250+ customers in the last 6 months, including over 50+ YC companies.\n\n![](https://bookface.ycombinator.com/media/?type=post&id=75947&key=user_uploads/1048566/a5968ddd-cd3b-4eb2-8a64-79f8ab7dea8f)\n\n**How does Pump work?**\n\nAWS incentivizes long term commitments, 1 year to 3 year with high discounts. Not only does this require careful planning & thorough future forecasting, but small startups are often not able to commit for such long periods. That’s where Pump comes in, we bring companies together under one umbrella - as long as there’s other companies within the same region and using the same instance as you, Pump rotates these commitments across Company A to B and so on; thus shrinking a 3 year commitment to just about a month; maximum savings and minimal risk 😀\n\n![](https://assets-global.website-files.com/634b9f9236d9ffdc11dc0eb6/65041ea8580984bf8c7e4065_pump-schema.webp)\n\n**What’s new with this launch?**\n\nPreviously, we could work with companies around the world with the exception of India (irony much?). For legal and tax reasons, AWS has set up a completely different entity for the country and to work with Indian customers, we ourselves had to setup a subsidiary in India. Our second highest traffic & signups always came from India since our launch in April, and given this strong pull we decided to go down this path even as a young company.\n\nWe are beyond PUMPED to go live in India and save Indian customers up to 60% on AWS costs!\n\n**Why this launch is important?**\n\nWhile adapting our product for India wasn’t that much work, we went through a grueling 4 months of copious paperwork, legalese and tests of patience.\n\nThere was just so much monumental effort that went in that we essentially had to package this as a launch :’)\n\n**How to get started?**\n\n![uploaded image](/media/?type=post&id=75947&key=user_uploads/1048566/7f11d87f-9555-44a2-bff9-a96ce9679e39)\n\n**🙏 Our ask:**\n\nIf you’re an Indian company (or otherwise too), sign up at [**app.pump.co**](https://www.forbes.com/sites/davidprosser/2023/10/05/how-pump-promises-to-slash-your-runaway-cloud-computing-costs/) and to see your estimated savings.\n\n[**https://youtu.be/5L5SEQaXlNw**](https://www.forbes.com/sites/davidprosser/2023/10/05/how-pump-promises-to-slash-your-runaway-cloud-computing-costs/)",
        "url": "https://www.ycombinator.com/launches/Jkx-pump-india-save-60-on-aws-for-free-now-live-in-india",
        "votes": 6,
        "created_at": "2023-11-02T14:55:14.978Z"
      },
      {
        "id": 71529,
        "title": "Pump: The fastest way to save 60% on AWS",
        "tagline": "Use AI to optimize your cloud savings on autopilot. Meet Pump, FinOps fully automated with AI.",
        "body": "[Pump](https://bit.ly/3ZeSLWM) is the FASTEST to save up to 60% on your AWS bills with zero engineering effort and financial risk.\n\n![uploaded image](/media/?type=post&id=71529&key=user_uploads/1048566/9e12619b-721e-4678-99f3-a8a18080e2ed)\n\n**🤖 How Pump saves so much:**\n\nPump’s AI to continuously optimizes AWS discount commitments, our customers get the best price without needing to constantly monitor and adjust their AWS usage. Our optimization algorithms identify which hourly commitments are most cost-effective for your specific usage patterns, so you never pay for more than you need. Additionally, we offer a group volume tier discount, similar to Groupon, based on combined usage across all our customers.\n\nList of all the AWS services we support is [here](https://help.pump.co/overview/list-of-aws-discounts). We are the **_ONLY_** company that has this breadth on market.\n\n![uploaded image](/media/?type=post&id=71529&key=user_uploads/1048566/18daa710-01d2-4183-b9b7-d6a5d5a6664f)\n\n**😎 Our Happy Customers:**\n\nSince we launched last month on Product Hunt as #1 of the day, we have had signups reaching up to over 100+ customers, saving them hundreds of thousands of dollars. Check out what they have to [say!](https://www.pump.co/#love)\n\n![uploaded image](/media/?type=post&id=71529&key=user_uploads/1048566/1cd2bdd1-d070-448b-88ba-6676f8a83804)\n\n**⚙️ How to get started:**\n\nJust 3 clicks to start saving and a fully self serve experience that doesn’t force you to talk to a human (unless you want to?)\n\n![uploaded image](/media/?type=post&id=71529&key=user_uploads/1048566/59c0d8ae-7374-44cc-8c5a-311c7a0f828d)\n\n**😎 Why we are a _no-brainer_:**\n\nPump monetizes through a small percentage from the volume discounts of the collective large spend achieved. 100% of our revenue comes from AWS. We believe saving costs should not be a cost in itself for our customers.\n\n![uploaded image](/media/?type=post&id=71529&key=user_uploads/1048566/9f098122-6f23-49a5-ba23-4cb3b31abd13)\n\n**🙏 Our ask:**\n\nSign up today at [www.pump.co](http://www.pump.co) to see your estimated savings even if you are already cost optimized, no obligation to use us if you don’t like that additional savings $ that Pump can save you! - if you have any questions please contact me at [sn@pump.co](mailto:sn@pump.co) :)\n\n![uploaded image](/media/?type=post&id=71529&key=user_uploads/1048566/fcf2b0e9-c942-4b1a-85e5-8e42a485bb00)\n\n",
        "url": "https://www.ycombinator.com/launches/Ibh-pump-the-fastest-way-to-save-60-on-aws",
        "votes": 158,
        "created_at": "2023-05-11T21:43:35.399Z"
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    "id": 27185,
    "name": "Knowtex",
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    "website": "http://www.knowtex.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We’re on a mission to leverage AI and voice technology to solve inefficiencies and revenue leakage in our healthcare system. With the rise of EHRs, the manual documentation burden on doctors has never been higher, leading to burnout and fatigue and high attrition rates. Assigning the correct diagnosis and billing codes is crucial for proper reimbursement and patient care, but medical coding is becoming more and more complex each year with growing numbers of codes (over 145,000 now), and doctors are unsupported by current technology to keep up with its ever increasing requirements. $125 billion is left on the table each year by healthcare organizations due to improper documentation and coding. \r\n\r\nKnowtex creates visit notes with up-to-date and accurate reimbursement codes from doctor-patient conversations, allowing the doctor to focus on patient care and preventing revenue leakage for hospital systems through standardized, transparent, and accurate documentation. ",
    "one_liner": "Making doctors 2x more efficient with AI note-taking & charge capture",
    "team_size": null,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Healthcare IT",
    "launched_at": 1658257873,
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      "Productivity",
      "Digital Health",
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    "batch": "Summer 2022",
    "status": "Active",
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      "America / Canada"
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    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/knowtex",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/knowtex.json",
    "year_founded": 2022,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/knowtexai",
    "x_url": "https://twitter.com/knowtexai",
    "fb_url": "https://www.facebook.com/knowtexai",
    "cb_url": "https://www.crunchbase.com/organization/knowtex",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f4dbfd0d7148fdd21093b73066565ae1d3a5d614.png",
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    "founders": [
      {
        "user_id": 432956,
        "full_name": "Caroline Zhang",
        "title": "Founder",
        "founder_bio": "Caroline is the CEO of Knowtex. Before Knowtex, she worked in biomedical research at the Salk Institute of Biological Studies, investment banking at Morgan Stanley, and AI research and policy initiatives at Schmidt Futures. Caroline graduated from Stanford University with her master’s degree in Computer Science (concentration in AI), and an undergraduate degree in Economics with a minor in International Relations.\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/czhang21/",
        "x_url": "https://twitter.com/CarolineCZhang",
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      {
        "user_id": 556751,
        "full_name": "Jocelyn Kang",
        "title": "Founder",
        "founder_bio": "Jocelyn is the CTO of Knowtex. Before Knowtex, she worked at several startups in a variety of positions ranging from product manager to product designer to software engineer. She was a founding member of the product team at Learn to Win and has worked on AI/ML teams. Jocelyn graduated Phi Beta Kappa and Summa Cum Laude from Stanford University while pursuing an interdisciplinary degree in CS + Linguistics/Psychology, and a minor in Philosophy.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jocelynkang/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a02f8d0613fb26a711269f429a755a08d7024edb.jpg"
      }
    ],
    "jobs": [
      {
        "id": 117578,
        "title": "Technical Product Manager",
        "url": "https://www.ycombinator.com/companies/knowtex/jobs/DZEAO6F-technical-product-manager",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Product",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 117579,
        "title": "ML Engineer, LLM's",
        "url": "https://www.ycombinator.com/companies/knowtex/jobs/X6FqYCv-ml-engineer-llm-s",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 117580,
        "title": "Integration Engineer",
        "url": "https://www.ycombinator.com/companies/knowtex/jobs/f8281Z9-integration-engineer",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "VA chooses finalists in health care worker burnout",
        "url": "https://news.va.gov/press-room/va-artificial-intelligence-tech-sprint-competition-finalists/",
        "date": "Mar 13, 2024"
      },
      {
        "title": "Knowtex and 4D EMR Announce Groundbreaking Partnership to Revolutionize Clinical Workflow with Specialty-Specific Voice and Generative AI EMR System",
        "url": "https://www.prweb.com/releases/knowtex-and-4d-emr-announce-groundbreaking-partnership-to-revolutionize-clinical-workflow-with-specialty-specific-voice-and-generative-ai-emr-system-302028004.html",
        "date": "Jan 08, 2024"
      },
      {
        "title": "INTEGRATED ONCOLOGY NETWORK AND KNOWTEX ANNOUNCE STRATEGIC PARTNERSHIP TO DEPLOY GENERATIVE AI TECHNOLOGY",
        "url": "https://www.prnewswire.com/news-releases/integrated-oncology-network-and-knowtex-announce-strategic-partnership-to-deploy-generative-ai-technology-301960648.html",
        "date": "Oct 18, 2023"
      },
      {
        "title": "AWS announces 21 startups selected for the AWS generative AI accelerator | AWS Startups Blog",
        "url": "https://aws.amazon.com/blogs/startups/aws-announces-21-startups-selected-for-the-aws-generative-ai-accelerator/",
        "date": "May 24, 2023"
      },
      {
        "title": "Summarizing conversations between doctors and patients with AI  (Nikkei xTECH) ",
        "url": "https://xtech.nikkei.com/atcl/nxt/column/18/00001/07725/?ST=ch_digitalhealth",
        "date": "Feb 20, 2023"
      }
    ],
    "launches": [
      {
        "id": 89160,
        "title": "Knowtex: Transparent, Explainable AI for Smarter Healthcare",
        "tagline": "Model Evaluation Platform for AI transparency, traceability, and reliability in clinical workflows.",
        "body": "[Knowtex](http://www.knowtex.ai/) is a voice AI platform built to empower healthcare organizations, turning real-time doctor-patient conversations into accurate clinical notes, ICD-10 and E&M codes tailored by medical specialty, including an admin dashboard for operations to save hours on admin work and billing.\n\n**Bringing Visibility to AI in Medicine**\n\nAI has the power to transform healthcare, but [black box decision-making](https://www.ama-assn.org/practice-management/digital/succeed-health-care-ai-get-rid-black-box) has no place in patient care. Knowtex is changing the game by making AI measurable and explainable, ensuring clinicians and healthcare systems can understand and trust every AI-driven recommendation.\n\n**What This Means for Healthcare Teams**\n\nWith the Model Evaluation Platform, Knowtex can now:\n\n* Evaluate AI performance in real-world clinical workflows for accuracy and reliability\n* Enhance traceability by surfacing insights into model predictions and decisions\n* Strengthen accountability with structured benchmarking and continuous monitoring\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXcWhj4wXNN6O4XKxH85tksdXx469QoqDrlorbk5r4Z_uuiwI_hTMzeAX4a4yfyikYpLGKwm4gel84baxTcEa6kILyK4y_nxq7MMnOFMmvAr7FmocYgGxsTPRuATxto9XWZU8fwnyg?key=S8aaCf-5dF0d1mRQ7mAPtwJR)\n\n**Trust, But Verify**\n\nInnovation in AI isn’t about chasing what’s new—it’s about measurable progress. Knowtex doesn’t just release updates; we test them against real-world clinical benchmarks to ensure every iteration is an improvement. Our benchmarking gauntlet allows us to pit the latest-and-greatest against our tried-and-true models, ensuring that Knowtex isn’t just keeping up—we’re leading the charge in rapid iteration and continuous improvement.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXetEQTUDcqPf954aHWHsmolvU5-QBqtMAEvsuA4RTcKUTNuaJ1M6-HPANSPkJuQR3d1PNvWqAVobaz0DLVgy--L3Qr7tgWx6EUT8Htdvlal64jbWI7LB-4ioma4clTtiQzdITqO9g?key=S8aaCf-5dF0d1mRQ7mAPtwJR)\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXesQhl_ORLRLMQn1ZAzQKnmHVyziix2px5YivuMSAO74X8TJ61Nh537JeDS8om07m4mGoIdVoIdpyF5fR8yN8km71y19eY-SFN2Z3Oaq21ARKZ0hWHnAZOcMRkQJie9fZGlBbr0Qg?key=S8aaCf-5dF0d1mRQ7mAPtwJR)\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXek2LkdtRHW22jTpy-JAtYsJeW-ZKkNhrayHjn4EqHnfKOJQww_o46SrsRLbNilTYPyz60OmZd8XLz4byR-8i0KdOMBHimNH5EoPuYEg_AxlNFWOFyy1jSM28t2pMkKC8IlTHwvVw?key=S8aaCf-5dF0d1mRQ7mAPtwJR)\n\nKnowtex’s benchmarks are built on insights from providers across multiple disciplines and focus on areas that matter most to them, such as:\n\n* **Style** – How well does the AI-generated note match the clinician’s voice? Over time, the model learns and adapts to improve precision.\n* **Note Length** – Does the AI capture the necessary details while avoiding unnecessary verbosity?\n* **Summarization Faithfulness** – How accurately does the summarized note convey the entirety of the clinical encounter?\n* **Structure** – Does the AI-generated note align with the expected template and clinical formatting?\n\nAt Knowtex, **AI isn’t just a tool—it’s a trusted partner in patient care.** Accuracy, clarity, and alignment with clinician needs are non-negotiable.\\\n\\\nThank you to Muhammad Khalifa and Nicholas Talbot for leading this project.\n\nStay tuned as we continue pushing the boundaries of explainable AI in healthcare!\n\nSimply head to [app-knowtex.com](http://app-knowtex.com) to create your account, and you’ll have full access to our voice AI documentation and coding solution supported by this Model Evaluation Platform. We’d love to hear your feedback, feature requests, and any suggestions you have at [demo@knowtex.ai.](mailto:demo@knowtex.ai)\n\nGet Started for Free → [app-knowtex.com](http://app-knowtex.com)",
        "url": "https://www.ycombinator.com/launches/NC4-knowtex-transparent-explainable-ai-for-smarter-healthcare",
        "votes": 32,
        "created_at": "2025-04-01T15:54:35.840Z"
      },
      {
        "id": 85532,
        "title": "Knowtex: Ambient Billing for Clinicians 🗣️💸",
        "tagline": "Personalized intelligent ambient documentation and billing solution for clinicians.",
        "body": "**Introducing Ambient Billing at Knowtex**\n\nAt Knowtex, we’re excited to launch a new way to capture every billing opportunity with zero added effort. Knowtex is built to empower healthcare clinics and systems, turning real-time doctor-patient conversations into accurate ICD-10, CPT, and HCC codes. Our ambient, AI-driven billing solution helps clinicians avoid leaving revenue on the table—all while keeping them focused on patient care, not paperwork.\n\nMedical coding is complex, and the rules and codes are constantly changing. Missed or inaccurate coding can dramatically impact a health system’s bottom line. That’s where Knowtex comes in. **Knowtex is a clinician’s partner in revenue:** capturing the full range of codes a visit is eligible for and keeping your documentation up-to-date with the latest standards. The result is an optimized, accurate billing workflow that catches every code, every time.\n\n**Unlike other solutions that simply analyze documentation to generate codes, we’ve spent the last two years developing Knowtex into a deeply integrated, personalized coding model based on the visit conversation that is tailored to clinicians and organizations. We create custom models trained on each clinic’s historic coding data so Knowtex tailors its suggestions to the unique needs of every clinician. This level of personalization allows Knowtex not only to generate accurate codes but also to prescriptively suggest coding updates that are finely tuned to the specific workflows and nuances of the practice.** \n\nKnowtex is a truly adaptive partner in coding at the point of care. It captures information correctly upfront and continuously improves and aligns with each clinic’s standards for maximized revenue and streamlined workflows.\n\n## Customer Results\n\nOne health system integrated Knowtex and observed significant improvement in revenue retention. With Knowtex identifying and correcting undercoded visits, they successfully capture approximately **$92,800 per month** in previously lost revenue.\n\nOne of our oncology practices with 50+ providers saw substantial improvement in billing outcomes with Knowtex. Before implementing Knowtex, their daily billing average was $7,101.60. Following integration, the mean daily billing rose to $7,893.70, an increase of almost **$800/provider/day**.\n\n## Features\n\n**🩺 Streamlined intelligent Code Selection**\n\nOur interface is designed for simplicity and speed and makes it easy for clinicians to confirm suggested codes instantly. As a clinician speaks with a patient, Knowtex listens, prompting relevant codes based on the conversation. For E&M codes, it analyzes encounter elements like time, medical decision-making complexity, risk, and data, guiding clinicians to the correct documentation with zero interruptions.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXcd1urRt3iovIjG_hdQrkbwJ0U0xMAQcrWNBMJvXj06EkCgVa7VeHot38yjpzGpMDDBPR0lRG_9jLd5bd2tIp2dB-GRbjIs8t723zatJ3OfZ3R8oPR2QKz7NPr7Jh59qYpFC11K?key=PrSNha-uknkZVns6FaLUE8yc)\n\nIn addition to live prompting, Knowtex provides targeted suggestions to help clinicians optimize coding accuracy. When assessing complexity, risk, or data documentation, Knowtex offers text snippets to update E&M codes based on the conversation info and historic data. These snippets guide providers by suggesting personalized updates that increase documentation complexity where applicable.\n\nFor example, with MDM:\n\n\\- Complexity: Knowtex can prompt providers to consider documenting any updates on the patient’s status under treatment with a pre-created snippet like “Patient is improving on current chemotherapy treatment but not yet at goal.”\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXcB9XivMlmiJrkMbi5KzqYfO-Lpw7SwG7zRg_xyeF8bzfkchHb1PmC2GLx7I3smiTrzp-jAdSVUO-AG9c4haq4U_iKAHBESxngh4YyXel7RnFHHk_l9k-_ACkd-i8RpvCIvjJqOow?key=PrSNha-uknkZVns6FaLUE8yc)\n\n\\- Risk: Knowtex may suggest inserting the text snippet, “reviewed liver function tests and discussed present chemotherapy effects with the patient,” to increase the documented level of decision-making complexity.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeXpD_K-hlG10Z0vGGn19NSs-AZsiDcePhUU0X70VZm0z8pwM2J7BovTaTPqum80I2l549WFgkPMTw8SO4z0XoogcljVNKSkbWNaXxA7VqsUfwin2gDF0jvxM-N0BkZB9JRLqalHw?key=PrSNha-uknkZVns6FaLUE8yc)\n\n\\- Data: If the clinician reviewed imaging during the conversation, Knowtex will identify this and suggest a clearer way of documenting it: “CT images were **personally reviewed and interpreted**.”\n\nThese real-time, customized tips help clinicians capture all relevant information to substantiate the appropriate billing codes.\\\n\\\n**🔍 Accurate & Personalized Diagnosis Capture and Search**\n\nImagine a clinician is treating anemia. Most physicians would code the patient with D50.9 (Iron deficiency anemia, unspecified). While this can be accepted by insurance and reimbursed, there can be more precise codes that would be a better choice based on the patient’s symptomatology and history. \n\nKnowtex can capture and synthesize conversation and EHR data in real time as the clinician talks through symptoms and treatment with the patient to suggest precise ICD-10 codes like D63.1 (Anemia in chronic kidney disease). \n\nWe also provide intelligent search functionality for clinicians that surfaces the best and most detailed ICD-10 code based on the conversation detail and EHR information.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXdYFAYWrvmJgndLiffAJCyQFPnu7fMM796mKPIZQKlQWSrlLdAD3Xoco727I2aEvOA82tfjAHm8-NwP-QKH9Ja9DjI0BSTH6xGxJCd6IoFsCnt-BzBsxaEfwAbxkEgFjEHBhhKn?key=PrSNha-uknkZVns6FaLUE8yc)\n\nKnowtex makes sure every detail is captured without breaking focus for clinicians, especially in complex specialties like hematology and oncology. It’s a seamless experience that helps practices keep up with fast-evolving coding standards and prevent revenue leakage.\n\n**📊 Complimentary Financial Gap Analysis**\n\n**We’re offering a free financial gap analysis to the first 10 new clinicians/organizations that sign up.** Knowtex will deeply analyze your last 3 months of billing data and pinpoint specific opportunities where Knowtex can capture missed revenue through optimized documentation and code selection. \n\nUsers will also get **free** **full** access to our state of the art, customizable, ambient scribing solution for those three months. \n\nContact [sales@knowtex.ai](mailto:sales@knowtex.ai) to learn more.\n\nThank you to our engineers Muhammad Khalifa, Andrea Green, and Azeem Ghumman for their work pioneering ambient billing at Knowtex.",
        "url": "https://www.ycombinator.com/launches/MFY-knowtex-ambient-billing-for-clinicians",
        "votes": 40,
        "created_at": "2024-11-13T16:48:55.533Z"
      },
      {
        "id": 65893,
        "title": "Knowtex: Creating Visit Notes from Doctor-Patient Conversations",
        "tagline": "Making doctors 2x more efficient with automating note-taking & charge capture",
        "body": "👋 We’re [Jocelyn](https://www.linkedin.com/in/jocelynkang/) and [Caroline](https://www.linkedin.com/in/czhang21/), the co-founders of [Knowtex](https://www.knowtex.ai/)!\n\n**tldr;** Knowtex automatically creates visit notes with billing codes from doctor-patient conversations. We built our ML solution in under two months and are working with healthcare organizations to save doctors time and prevent revenue leakage from improper documentation and coding. Our ask is for help connecting with private clinics (with 8+ doctors) in any specialty, digital healthcare companies with providers, and PE firms with medical roll-ups.\n\n### **The Problem:**\n\nDoctors are spending more time on taking notes than seeing patients, and aren’t taught how to code their notes optimally for proper reimbursement. This leads to physician burnout and revenue leakage for healthcare organizations (up to $125 billion a year in the US).\n\n### **Our Solution:**\n\nKnowtex creates visit notes with the proper codes for reimbursement automatically from doctor-patient conversation.\n\n![uploaded image](/media/?type=post&id=65893&key=user_uploads/556751/cbde38bb-69a5-49a9-b723-fc0b8bf65864)\n\n(The automatically generated note output from a conversation Caroline had in real-time with a cardiologist!)\n\n**Wait, doctors code?**\n\nWe’re not talking about software coding, but medical coding, which means assigning the right diagnostic (ICD-10) and procedural codes (CPT) to a note to allow a claim to be created and submitted to insurers for appropriate payment. Correct coding is also critical for demographic assessments and studies of disease prevalence, treatment outcomes and accountability-based reimbursement systems.\n\nWith Knowtex, we can cut the time doctors currently spend on admin work in half, and allow them to focus on what they love: patient care.\n\n### **Our Team**\n\nWe met day one of Stanford freshmen year. Caroline received her master's degree in Computer Science concentrating in AI and an undergraduate degree in Economics (in just 4 years!). Jocelyn received an interdisciplinary degree in CS specializing in Linguistics and has worked at startups in a variety of positions including leading AI/ML teams.\n\nAfter graduating during the COVID-19 pandemic, we wanted to apply our technical skills to build solutions for our healthcare system. We heard about the problem of physician burnout from medical documentation, and **became medical scribes ourselves to experience it firsthand. We’re the only medical scribes in the world with AI/ML backgrounds,** making us uniquely positioned to build this solution for doctors.\n\n### **Our Ask**\n\nWe’re looking to partner with\n\n* private clinics that have 8+ doctors in any specialty\n* digital health companies that offer healthcare provider services (ex. hybrid and virtual care, telemedicine platforms)\n* private equity companies with medical roll-ups\n\nHere’s a quick blurb you can send them about us:\n\n_Knowtex reduces physician documentation burden and increases coding efficiency and accuracy by automatically creating visit notes with billing codes from doctor-patient conversations. Our software captures natural conversation, identifies relevant medical information, and generates a pre-filled, structured note with ICD-10 and CPT codes for physician sign-off._\n\n_Founders Caroline and Jocelyn are Stanford CS grads who specialized in AI and previously worked as medical scribes. We're looking to speak to healthcare organizations to understand more about their doctors’ documentation workflows and coding requirements, and explore partnership opportunities with our product. You can reach us at_ [_founders@knowtex.ai_](mailto:founders@knowtex.ai)_._\n\nThank you!\n\n\\- Jocelyn and Caroline\n\n![uploaded image](/media/?type=post&id=65893&key=user_uploads/556751/d7306386-438d-4c47-ba29-4b230bbc3c29)\n\n",
        "url": "https://www.ycombinator.com/launches/H8n-knowtex-creating-visit-notes-from-doctor-patient-conversations",
        "votes": 215,
        "created_at": "2022-09-07T07:02:20.821Z"
      }
    ]
  },
  {
    "id": 27191,
    "name": "AlgoTest",
    "slug": "algotest",
    "former_names": [
      "Fintrix"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ee27828a872551486a5a61cefdc3f0f73dca1b91.png",
    "website": "https://algotest.in",
    "all_locations": "Delhi, DL, India",
    "long_description": "AlgoTest is an algorithmic options trading platform for Indian retail traders. For the first time ever, day traders will be able to trade using the same technology as the top hedge funds and high-frequency trading firms of the world.\r\n\r\nThe company is founded by Raghav Malik (Financial Engineering @ Columbia Univ), an HFT technologist and former options market-maker in the US.",
    "one_liner": "Ecosystem for options trading in India",
    "team_size": 40,
    "industry": "Fintech",
    "subindustry": "Fintech",
    "launched_at": 1658736780,
    "tags": [
      "Fintech",
      "No-code"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2022",
    "status": "Active",
    "industries": [
      "Fintech"
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    "regions": [
      "India",
      "South Asia"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/algotest",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/algotest.json",
    "year_founded": 2021,
    "city": "Delhi",
    "country": "IN",
    "linkedin_url": "https://www.linkedin.com/company/algotest",
    "x_url": "https://twitter.com/AlgoTest_in",
    "fb_url": "https://www.facebook.com/AlgoTestIndia/",
    "cb_url": "https://www.crunchbase.com/organization/fintrix",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ee27828a872551486a5a61cefdc3f0f73dca1b91.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
    },
    "founders": [
      {
        "user_id": 91048,
        "full_name": "Raghav Malik",
        "title": "Founder",
        "founder_bio": "Raghav (CEO) started his career as an options market-maker in New York. He then made the shift from trading to technology, building low-latency trading software from the ground up for Indian HFT firms.\n\nHe holds a bachelor’s degree in Mathematics from University of Waterloo and a Masters degree in Financial Engineering from Columbia University.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/raghav-malik-96a8932/",
        "x_url": "https://twitter.com/rogue_hft",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8e1658a99bca84e1aa088af76ea2bb7184cbb9fb.jpg"
      }
    ],
    "jobs": [
      {
        "id": 55672,
        "title": "Founding Frontend Engineer (ReactJS)",
        "url": "https://www.ycombinator.com/companies/algotest/jobs/Revs078-founding-frontend-engineer-reactjs",
        "location": "New Delhi, Delhi, India",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Frontend",
        "salary_range": "$15K - $25K",
        "equity_range": "0.10% - 0.35%",
        "experience": "1+ years",
        "visa": "US citizenship/visa not required",
        "skills": [
          "CSS",
          "JavaScript",
          "React"
        ]
      },
      {
        "id": 56643,
        "title": "Founding Full Stack Engineer",
        "url": "https://www.ycombinator.com/companies/algotest/jobs/8WmJHTX-founding-full-stack-engineer",
        "location": "DL, IN / Delhi, IN",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$10K - $30K",
        "equity_range": "0.10% - 0.50%",
        "experience": "1+ years",
        "visa": "US citizenship/visa not required",
        "skills": [
          "Flask",
          "JavaScript",
          "Python",
          "React",
          "Microservices"
        ]
      },
      {
        "id": 60856,
        "title": "Product Designer",
        "url": "https://www.ycombinator.com/companies/algotest/jobs/970JFzZ-product-designer",
        "location": "New Delhi, DL, IN",
        "type": "Full-time",
        "role": "Design",
        "role_type": "UI / UX",
        "salary_range": "₹600K - ₹1.2M INR",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizenship/visa not required",
        "skills": [
          "Figma"
        ]
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 64897,
        "title": "AlgoTest - Algorithmic Trading Platform for India's Day Traders",
        "tagline": "We bring cutting edge research and execution to India's day traders",
        "body": "### **tl;dr:** On AlgoTest, you can test your trading strategies for free and deploy them to the live market, without writing any code 😎😎\n\nWe’re [Raghav](https://www.linkedin.com/in/raghav-malik-96a8932/) and [Rajat](https://www.linkedin.com/in/jaiswal-rajat/), founders at [AlgoTest](https://algotest.in)!\n\n### **The Problem**\n\nOver the last 5 years, the number of day traders in India has 💥**EXPLODED💥**. Last year, more options traded in India’s National Stock Exchange than in all US exchanges combined!\n\nBUT, the tools that these day traders use to trade are **nascent**, **inefficient**, and **costly**.\n\n### **How do we help?**\n\nWe’ve built similar tools for institutions like hedge funds and HFT firms before. Our tools are **10x more powerful**, and **cost a fraction** of what retailers currently pay.\n\nOur first tool, a free options backtester with a no-code interface, now comes with a Live Execution Engine.\n\nThis means that any strategy you test with our backtester can now be deployed to the live market at the click of a button!\n\n### **The ASK**\n\nIf you have a trading account in India, check us out on [algotest.in](http://algotest.in), or give us a shoutout on [Twitter](https://twitter.com/algotest_in).",
        "url": "https://www.ycombinator.com/launches/Gsj-algotest-algorithmic-trading-platform-for-india-s-day-traders",
        "votes": 209,
        "created_at": "2022-07-26T15:00:54.937Z"
      }
    ]
  },
  {
    "id": 27194,
    "name": "REVER",
    "slug": "rever",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3a30a32b053472aa128b79b5f8e1a099aa963a1b.png",
    "website": "https://itsrever.com/",
    "all_locations": "Barcelona, CT, Spain; CT, Spain",
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        "url": "https://www.ycombinator.com/companies/rever/jobs/ejbx3Kj-founding-account-executive-german-speaking",
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        "title": "Four-month-old Rever revs up e-commerce returns, joins Y Combinator - Tech.eu",
        "url": "https://tech.eu/2022/07/20/four-month-old-rever-revs-up-e-commerce-returns-joins-y-combinator",
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      {
        "id": 64735,
        "title": "REVER: easy returns, faster refunds",
        "tagline": "We make eCommerce returns possible in 2 clicks and refunds in minutes",
        "body": "# **TLDR;**\n\n[REVER](https://www.itsrever.com) is a game-changing shopping experience that makes eCommerce returns possible in 2 clicks and refunds in 24h.\n\nIf you are an eCommerce and want to revolutionise your returns experience find out more at: [www.itsrever.com](http://www.itsrever.com)\n\n![uploaded image](/media/?type=post&id=64735&key=user_uploads/873036/be6533fe-8eb5-41ec-a6b3-5a4bafa6ebd7)\n\n# **What are we solving?**\n\nReturns are the new normal, reaching up to 30% of online sales in western markets, making reverse logistics a $500B/year industry globally. Moreover, margins and growth are at risk for eCommerces if they don't adapt:\n\n* **70% of customers** check the return policy before buying\n* **89% of customers won't buy again** after a bad return experience\n* **10 working days** is the average time it takes to get refunded after an online return\n\n# **Solution**\n\n1. A customizable whitelabel returns portal for eCommerce and retailers of the world, so that their end customers are able to request returns in **2 just clicks**\n2. Once a return request comes in, REVER has a **superfast** refund solution, that makes customers get refunded in less than **1 minute** (vs. 21 days today!)\n3. We are integrated with **+50 logistics carriers** to make the collection process easier and faster too, and centralize the information in a single dashboard (SaaS) that enables eComs to manage their returns more efficiently.\n\n# **Why are we doing this?**\n\nBecause returning should be as easy as buying. REVER is shaping the future of eCommerce bringing frictionless, superfast and sustainable returns to everyone, anytime, anywhere. Our's ambition is to dominate ALL eCommerce post-sale services by creating the world's first global platform for online returns.\n\nMarius, while at Glovo as Global Head of Logistics, was approached by multiple clients (Aliexpress, Apple, Nike, etc.) who wanted a solution for returns management, Glovo was offering them a Last Mile solution, but they also needed a solution for returns.\n\nOriol carried out the reverse logistics strategic plan USA's biggest carrier while at BCG and, working at Bank of America Merrill Lynch, participated a series of multi-billion deals involving the world's biggest fashion marketplaces and detected that returns are a critical part of the operations and financial performance for eCommerce.\n\n# **How to get started?**\n\nWe are offering a 1-month free trial to retailers that want to join the future of eCommerce. If you are struggling with your returns, send us an email at [sales@itsrever.com](mailto:sales@itsrever.com).",
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        "full_name": "Sneh Patel",
        "title": "Founder",
        "founder_bio": "Sneh has a Doctorate in Pharmacy and MBA from Harvard.  She previously worked at McKinsey and an NEA-backed startup. ",
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        "full_name": "Kimberly McManus",
        "title": "Founder",
        "founder_bio": "Kimberly’s expertise in consumer health comes from leading a data science team at 23andMe. She has a Bachelor’s degree from MIT, and a Master’s degree in Biomedical Informatics and a Ph.D. in Biology from Stanford University. She’s published over ten papers in genomics, healthcare and machine learning and holds one patent, with three patents pending.",
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        "title": "Healthcare Operations Associate - Part Time ",
        "url": "https://www.ycombinator.com/companies/delfino-ai/jobs/2HyErWK-healthcare-operations-associate-part-time",
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        "date": "Sep 26, 2024"
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        "title": "Hi, AI: Our Thesis on AI Voice Agents | Andreessen Horowitz",
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        "date": "May 29, 2024"
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      {
        "id": 64318,
        "title": "Be Golden helps measure and manage inflammation levels.",
        "tagline": "Learn more and pre-order here: https://www.begolden.online/ ",
        "body": "### **THE PROBLEM**\n\n\\>50% of American adults have high inflammation levels.  Chronic inflammation may lead to many negative outcomes including:\n\n* **Chronic disease (e.g., cancer, heart disease, Alzheimer’s)**\n* **Fatigue**\n* **Symptoms of IBS, migraine and pain (fibromyalgia and myofascial pain)**  \n* **Negative impact on IVF and IUI success**\n\n \n\n### **THE SOLUTION/HOW IT WORKS**\n\nBe Golden helps you measure and manage your inflammation levels using an at home finger prick based blood testing kit and a digital platform.  How it works:\n\n1. MEASURE your baseline inflammation levels; Receive your results and how they compare to other people like you\n2. TRY A NEW HABIT from our list of personalized options from the scientific literature (or something else) and track how often you complete it\n3. RE-MEASURE every 1-2 months and receive analytics on changes to your habits and inflammation scores\n\n**THE ASK**\n\nIf you or anyone you know has health goals related to the below, please sign up to learn more here: <https://www.begolden.online/>\n\n* Help **prevent** **disease** (e.g., cancer, heart disease, Alzheimer’s)\n* **Feel good** \n* Help reduce the frequency of **migraine** symptoms\n* Help prevent **irritable bowel syndrome (IBS)** symptoms \n* Help take control of your **fertility**\n\n \n\nIf you know any of the following experts, we would love a connection:\n\n* chronic inflammation experts that we can speak to about inflammation biomarkers\n* OB/GYNs \n* Gastroenterologists\n\n  ",
        "url": "https://www.ycombinator.com/launches/GjO-be-golden-helps-measure-and-manage-inflammation-levels",
        "votes": 30,
        "created_at": "2022-07-05T03:44:25.192Z"
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  },
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    "id": 27248,
    "name": "Cambio",
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        "title": "Axle: Plaid for Insurance",
        "tagline": "Axle is an open platform for insurance, enabling companies to instantly collect, verify, and monitor insurance through consumer-consented data. ",
        "body": "[Get started today!](https://axle.insure)\n\n### **What’s the problem?**\n\nToday, both **consumer services** - like rental car companies and lenders - and **gig services/ employers** - like rideshare and food delivery - rely on legacy systems, paper, and hours on the phone each day to verify insurance for their customers or contractors with no real way to monitor coverage after the fact. This leads to friction in the checkout/onboarding process, heavy manual overhead for operations teams, and gaps in coverage that result in painful subrogation or expensive claims against umbrella policies.\n\n![uploaded image](/media/?type=post&id=64702&key=user_uploads/1050387/634c242f-59c3-452a-aa6c-c29094d0d29f)\n\n### **How do we help?**\n\nAxle automates collection, verification, and monitoring of insurance - enabling you to make better-informed decisions in seconds instead of hours.\n\nAxle is built for both operations and product teams. You can get started verifying customers in minutes - no code required - using our Dashboard, or embed Axle’s consent interface directly into your application via our API for a seamless customer experience.\n\n![uploaded image](/media/?type=post&id=64702&key=user_uploads/1050387/7caae2e5-ef12-40e9-b0dc-2d9fedd000b5)\n\n### \n\n**Backstory**\n\nI (Cam) have spent the last 3 years building new ways to access (rental, subscription, etc.) and own (home delivery, service pickup and delivery, etc.) vehicles. Time and time again I’ve painfully collected unverified images of insurance cards and dec pages while leveraging tools like Microblink and Acuant to capture and verify identity documents.\n\nI reached out to a few more operators in our network and quickly validated that they were facing the same issue, so I partnered with Nihar to build Axle: a painless way for consumers to link their insurance data to companies they trust.\n\n### **Get started today!**\n\nLooking to save time on insurance verification & monitoring and offering a seamless experience for your customers?\n\nBook some [time](https://calendly.com/axle-cam/30min) with us for a demo and to discuss how Axle can change your insurance process.\n\nFor any other questions, feel free to send me an email at [cam@axle.insure](mailto:cam@axle.insure)!",
        "url": "https://www.ycombinator.com/launches/Gpa-axle-plaid-for-insurance",
        "votes": 44,
        "created_at": "2022-07-18T17:12:01.762Z"
      }
    ]
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        "location": "Hyderabad, TS, IN / Mumbai, MH, IN / Bengaluru, KA, IN / Chennai, TN, IN / DL, IN / Gurugram, HR, IN",
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      },
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        "url": "https://www.ycombinator.com/companies/landeed/jobs/HYva7F4-operations-lead",
        "location": "Mumbai, MH, IN / Bengaluru, KA, IN / Hyderabad, TS, IN / Gurugram, HR, IN / Gurugram, Haryana, IN",
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      },
      {
        "id": 65259,
        "title": "Support Executive",
        "url": "https://www.ycombinator.com/companies/landeed/jobs/SZyQjR3-support-executive",
        "location": "Hyderabad, TS, IN / Mumbai, MH, IN / Chennai, TN, IN / Bengaluru, KA, IN",
        "type": "Full-time",
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        "id": 79600,
        "title": "Senior/Staff Engineer: Backend (India)",
        "url": "https://www.ycombinator.com/companies/landeed/jobs/v9JBNfn-senior-staff-engineer-backend-india",
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        "location": "Chennai, TN, IN / Chennai, Tamil Nadu, IN / Bengaluru, KA, IN / Bengaluru, Karnataka, IN / Ahmedabad, GJ, IN / Ahmedabad, Gujarat, IN / Pune, MH, IN / Pune, Maharashtra, IN / Gurugram, HR, IN / Gurugram, Haryana, IN",
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        "id": 85313,
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        "url": "https://www.ycombinator.com/companies/landeed/jobs/fFYK3Hd-ex-founder-technical-india",
        "location": "Hyderabad, Telangana, India",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
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        "equity_range": "0.10% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
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      },
      {
        "id": 88432,
        "title": "Accountant",
        "url": "https://www.ycombinator.com/companies/landeed/jobs/tipcFfI-accountant",
        "location": "Hyderabad, TS, IN / Hyderabad, Telangana, IN",
        "type": "Full-time",
        "role": "Finance",
        "role_type": null,
        "salary_range": "₹360K - ₹420K INR",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 91926,
        "title": "Associate Solutions Engineer",
        "url": "https://www.ycombinator.com/companies/landeed/jobs/l7L0SeB-associate-solutions-engineer",
        "location": "Hyderabad, TS, IN / Hyderabad, Telangana, IN",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "₹600K - ₹800K INR",
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        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 95120,
        "title": "Customer Relationship Manager",
        "url": "https://www.ycombinator.com/companies/landeed/jobs/rwIYQSC-customer-relationship-manager",
        "location": "Hyderabad, TS, IN / Hyderabad, Telangana, IN",
        "type": "Full-time",
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        "role_type": null,
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        "id": 95121,
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        "url": "https://www.ycombinator.com/companies/landeed/jobs/WBenvVy-senior-customer-relationship-manager",
        "location": "Hyderabad, TS, IN / Hyderabad, Telangana, IN",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
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        "experience": "6+ years",
        "visa": "US citizenship/visa not required",
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      },
      {
        "id": 95828,
        "title": "Product Engineer",
        "url": "https://www.ycombinator.com/companies/landeed/jobs/5ER5jHm-product-engineer",
        "location": "Hyderabad, TS, IN / Hyderabad, Telangana, IN",
        "type": "Full-time",
        "role": "Product",
        "role_type": null,
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          "React",
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          "Data Analytics",
          "Evals"
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      },
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        "id": 95916,
        "title": "Member of Technical Staff - Post-Training Engineer",
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        "location": "Hyderabad, TS, IN / Hyderabad, Telangana, IN",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
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        "skills": [
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          "Torch/PyTorch",
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          "Reinforcement learning (RL)",
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          "Transformers",
          "Fine-tuning"
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      },
      {
        "id": 106709,
        "title": "Property Advisor - II",
        "url": "https://www.ycombinator.com/companies/landeed/jobs/Ay1U4eN-property-advisor-ii",
        "location": "Hyderabad, TS, IN / Hyderabad, Telangana, IN",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "₹730K - ₹1.01M INR",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 106710,
        "title": "VIP Client Advisor",
        "url": "https://www.ycombinator.com/companies/landeed/jobs/NV3HYUX-vip-client-advisor",
        "location": "Hyderabad, TS, IN / Hyderabad, Telangana, IN",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "₹880K - ₹1.22M INR",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 106711,
        "title": "Priority Case Manager",
        "url": "https://www.ycombinator.com/companies/landeed/jobs/MVVWBdh-priority-case-manager",
        "location": "Hyderabad, TS, IN / Hyderabad, Telangana, IN",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "₹780K - ₹1.06M INR",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 108452,
        "title": "People & Operations Associate (HR & Admin)",
        "url": "https://www.ycombinator.com/companies/landeed/jobs/SkrpiOU-people-operations-associate-hr-admin",
        "location": "Hyderabad, TS, IN / Hyderabad, Telangana, IN",
        "type": "Full-time",
        "role": "Recruiting & HR",
        "role_type": "Operations",
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        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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    "news": [
      {
        "title": "Building trust in India’s property system through digitisation",
        "url": "https://www.moneycontrol.com/news/opinion/building-trust-in-india-s-property-system-through-digitisation-13750337.html",
        "date": "Dec 31, 2025"
      },
      {
        "title": "Indian proptech at an inflection point: Panelists at VCCircle summit",
        "url": "https://www.vccircle.com/indianproptech-at-an-inflection-point-panelists-at-vccircle-summit",
        "date": "Oct 29, 2025"
      },
      {
        "title": "Landeed: Mapping ownership through AI",
        "url": "https://www.newindianexpress.com/cities/hyderabad/2025/Oct/09/landeed-mapping-ownership-through-ai",
        "date": "Oct 08, 2025"
      },
      {
        "title": "Landeed: Mapping ownership through AI",
        "url": "https://www.newindianexpress.com/cities/hyderabad/2025/Oct/09/landeed-mapping-ownership-through-ai",
        "date": "Oct 08, 2025"
      },
      {
        "title": "Landeed Introduces Zero-Fee Bill Payments Feature for Property Transactions",
        "url": "https://www.rprealtyplus.com/allied/landeed-introduces-zero-fee-bill-payments-feature-for-property-transactions-119421.html",
        "date": "Apr 03, 2025"
      }
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    "launches": [
      {
        "id": 100213,
        "title": "🏠 Terra: Turning Indian property from a who-you-know market into a what-you-know market.",
        "tagline": "Indian property, finally legible. ",
        "body": "Today we're launching Terra: the thing we've wanted to build since day one.. If you caught our original launch: <https://www.ycombinator.com/launches/GxK-landeed-do-you-own-your-property-in-india-are-you-sure-let-s-check> you know we've spent three years building India's property infrastructure. More than a million people use Landeed monthly searching millions of properties and growing at an increasing pace. The result of that work is Terra - India’s first and most intelligent property AI trained on 500M+ title documents. 24 states. 22 languages.\n\nEven more importantly, we built Terra on the foundations of our groundwork not guesswork. The answers are backed by verifiable records from regulatory registries and ground truth minimizing hallucination risks. Furthermore, this is the third major launch from Landeed Labs (our internal AI division) after AITSR our flagship product for enterprises which has now evolved into Terra Black.\n\nCheck it out below:\n\n<https://youtu.be/Zy3XsLzm9vY>\n\n**Here's what's broken.**\n\nIndia is two markets stitched together: _who you know_ and _what you know_. Most of India's economy has shifted toward what-you-know over the last twenty years. Real estate has not. It is the most extreme who-you-know market in the country.\n\nWho you know determines what you can buy, what price you pay, what risks you discover, and whether your title holds up in court. If you have the right cousin in the registrar's office, the right lawyer in the right city, the right broker who owes you a favor — you have edge. If you don't, you're flying blind with your life savings.\n\nThis is why India has $10 trillion in property and most of it is **dead capital** — Hernando de Soto's phrase. You own it but you can't prove it. You inherit it but you can't read it. You want to buy it but you can't verify it. Many call this dead capital but at Landeed we call this just another Tuesday. The data was always there. It was just illegible, scattered across 28 state systems, locked in 22 languages, and impossible to reason about.\n\n**Here's what we built.**\n\nTerra is the first product that makes data competitive with relationships in Indian property — and wins.\n\nYou just talk to it. In English, Hindi, Telugu, Tamil — whatever you think in.\n\n\"Find me 2BHK apartments in Gachibowli under 1 crore and with nice gym.\" Or drop the link or url from your favorite listing to explore more about the property in detail like guideline value or average rentals. Terra shows you real listings across all aggregated from listings platforms, helps you create watchlists, calculate price trends and check property risks all in one screen in real time in one conversation.\n\n![uploaded image](/media/?type=post&id=100213&key=user_uploads/95984/c59d4a61-5060-44eb-bdc9-ee30b31e2d74)\n\n![uploaded image](/media/?type=post&id=100213&key=user_uploads/95984/4a929008-2772-42f7-b0a8-bd7e19e4f86b)\n\n\"Who has owned that property since it was built?\" Ownership tree. Every transaction. Linked to source documents you can open.\n\n![uploaded image](/media/?type=post&id=100213&key=user_uploads/95984/6a4338fb-af05-4c24-bc80-0d5dc9e3b049)\n\n\"Are there any encumbrances or legal issues?\" Light diligence in minutes. Not a lawyer's 2-week report.\n\n![uploaded image](/media/?type=post&id=100213&key=user_uploads/95984/b035d906-223a-4a67-8b4f-3305132df9d4)\n\n\"Compare this to the one in Kondapur I was looking at yesterday.\" Side by side.\n\n![uploaded image](/media/?type=post&id=100213&key=user_uploads/95984/7914e052-0078-469a-9947-e2af051b4f7d)\n\nUnder the hood: a system of specialized AI agents working in parallel. Live integrations with 24 state governments. Proprietary OCR for 22 Indian languages including handwritten records from the 1980s. Terra doesn't guess. It reads the actual government records — the same ones a lawyer would read — and reasons about them in real time.\n\n**One moment that shows what this unlocks.**\n\nA user told Terra about his property next to a biryani shop in Chennai. Terra pulled the documents _and_ found a municipal announcement from that week — the user was now eligible to build additional square footage on his existing plot. He didn't know to ask. Terra found it anyway.\n\nThat's the point. Terra doesn't just answer questions. It tells you things you didn't know to ask.\n\n**Early traction.**\n\nSoft-launched on web a month ago. 50,000 users showed up without a rupee of paid acquisition.\n\n**Try it:** [https://web.landeed.com/terra](https://web.landeed.com/terra?thread=a3c27682-da8c-462a-8855-5d2ebcd80632) or download our app from play store or iOS\n\n**What we want from the community:**\n\n* Know anyone buying, selling, or inheriting property in India? Send them to Terra. Especially NRIs — they have the worst version of this problem.\n* Know a bank, NBFC, or real estate operator in India? We have Terra Black (enterprise API) already running with HDFC Bank, Hero FinCorp, Amazon India, Vastu Housing, and others. Warm intros welcome: [sanjay@landeed.com](mailto:sanjay@landeed.com)\n* Feedback, ideas, critiques — send them straight to us.\n\nIndia's property market has been a who-you-know game since the British left. Terra is how it finally becomes a what-you-know market. We make this inevitable. 🐂",
        "url": "https://www.ycombinator.com/launches/Q4L-terra-turning-indian-property-from-a-who-you-know-market-into-a-what-you-know-market",
        "votes": 107,
        "created_at": "2026-04-25T15:27:09.197Z"
      },
      {
        "id": 89737,
        "title": "Landeed Bill Pay: Property bills, tax, and documents — handled in one app",
        "tagline": "India's first property super-app: pay property tax, electricity, water & more — all linked to your property",
        "body": "**🏡 We’re Landeed — the fastest way to access property documents _and_ pay property-related bills in India**\n\nHey YC — we’re the team behind **Landeed**, a property super-app used by over 1 million people across India to instantly retrieve legal property documents like Encumbrance Certificates, Survey Maps, and Sale Deeds.\n\nToday we’re launching **Landeed Bill Payments** — a major upgrade that lets users instantly pay for all their property-related bills, directly in the same app.\n\n---\n\n### ❌ The Problem\n\nIndia’s government has digitized property documents — but property _bill payments_ are still a mess.\n\nEvery billing cycle, property owners deal with:\n\n* 3–5 broken government portals (BBMP, BESCOM, BWSSB, etc.)\n* Clunky UIs with mismatched property IDs and consumer numbers\n* OTP loops, failed UPI/card transactions, no real support\n* No central history or receipts\n\nIt’s painful for anyone — and 10x worse for landlords managing multiple properties across cities.\n\n---\n\n### 🧑‍💼 Meet Ramesh, a typical Bangalore landlord\n\n![uploaded image](/media/?type=post&id=89737&key=user_uploads/95984/6f635ff1-7dea-4270-bc01-3526f95f8022)\n\n### ✅ Our Solution\n\nWe built **Landeed Bill Payments** right into the same app our users already trust for property documents.\n\nNow users can:\n\n* 💡Instantly pay **Property Tax, Electricity, Water, Gas, Broadband**\n* 💳 Use **UPI, cards, or wallets**\n* 🏙️ Access **20+ utility boards** across India\n* 📂 Automatically save receipts per property\n* 📈 View full **payment history** across all properties\n\nNo logins, no portal hopping, no stress.\n\n---\n\n### 💡 Why Now\n\nIndia digitized land records — but not the ownership experience.\\\nYou can _see_ your property online. But you can’t act on it.\n\nWe’re building the **operating system for property ownership** — starting with documentation, and now enabling transactions.\n\n---\n\n### 🚀 Traction\n\n* 1M+ users across 400+ districts\n* Cover 24 states and union territories in India\n* Live integrations with 20+ major utilities & DISCOMs\n* Multi-lingual support and over 12 vernacular languages supported\n\n---\n\n### 🎥 Product Demo\n\n<https://youtube.com/shorts/17JhgiA_jgs?feature=share>\n\n> _See how Ramesh pays 3 bills in under 60 seconds, directly from his property dashboard._\n\n---\n\n### 🙌 What You Can Do\n\n* **Try it now**: <https://www.landeed.com/utility-bill-payment> — no fees, no logins\n* **Share this** with landlords, real estate operators, or civic tech folks\n* **Talk to us**: [founders@landeed.com](mailto:founders@landeed.com)\n\nThanks for checking us out — we’d love your feedback and intros.",
        "url": "https://www.ycombinator.com/launches/NLN-landeed-bill-pay-property-bills-tax-and-documents-handled-in-one-app",
        "votes": 100,
        "created_at": "2025-04-22T14:56:32.985Z"
      },
      {
        "id": 72566,
        "title": "Landeed XF (LXF): Founder's real estate concierge 🚀",
        "tagline": "Real Estate reimagined for Founders by Founders 🤝",
        "body": "# **Landeed XF (LXF): Your Ultimate Real Estate Ally!**\n\n**Quick Summary:** Landeed is thrilled to launch LXF! We present an all-encompassing real estate solution tailored for founders, ensuring hassle-free accommodation and workspace solutions, along with legal support for your company setup. No deposits, no brokerage fees, just an annual contract that bundles everything you need into a single monthly invoice.✨\n\n## **💥 What’s The Issue?**\n\nFounders are swamped with responsibilities and need to be laser-focused on their vision. Real estate complications, finding the perfect workspace, and dealing with legal requirements for company setup are all distractions that no founder needs. The market lacks an efficient, all-in-one solution that caters specifically to the founders' real estate and legal needs. Landeed XF is here to change that.\n\n## **🎯 Here’s What We Offer**\n\nLandeed XF is your one-stop solution, specially curated for founders looking to set their foot in India and vice versa. We’re here to enable you to hit the ground running.\n\n🧾 **Single Monthly Payment Mechanism**: Experience the simplicity of our financial structure. No deposits or brokerages; only transparent, all-inclusive monthly invoicing.\n\n🏡 **Move-in Ready Living Spaces**: No more endless apartment hunting or paperwork. Live comfortably in our fully-furnished apartments and enjoy single monthly payments sans any brokerage fees.\n\n👩‍💻 **Workspace That Matches Your Drive**: Choose from a range of coworking spaces and private offices, ensuring your workspace is conducive to your vision. We find the best locations for you and your team!\n\n👩‍⚖️ **Legal Entity Structuring**: Our expert partners will guide you through the complex maze of legal entity structuring between the US and India. We’ve negotiated discounted fees for you.\n\n🛂 **Hassle-free Company Setup**: We manage all the administrative tasks such as entity formation and government registrations, so you can focus on what matters most – your startup.\n\n⏩ **Fast-Track Your Launch**: Don’t let delays hinder your momentum. Our efficient lease negotiations and expedited legal processes mean you can be operational in just 2 weeks!\n\n## **📢 Landeed + YC Founders = Unstoppable Force**\n\nWe're on a mission to pave the way for your startup’s triumphant journey in India. With Landeed XF by your side, you can leave the real estate and legal complexities to us, and focus on what you do best – building and scaling your business.\n\n## **🎉 YC Exclusive Deal! 🎉**\n\nAs a special launch celebration, we’re excited to offer an exclusive deal for our YC community! Find out more about this limited-time offer [**here**](https://deals.ycombinator.com/deals/1847).\n\n## **🤝 Let’s Get Started**\n\nReady to take the leap? We’d love to hear from you. Reach out to [**namansrivastava@landeed.com**](mailto:namansrivastava@landeed.com) and let's explore how Landeed XF can propel your startup to new heights.\n\nJoin us on this exciting journey. Landeed XF is here to revolutionize real estate for founders! 🚀💡🏢",
        "url": "https://www.ycombinator.com/launches/IsQ-landeed-xf-lxf-founder-s-real-estate-concierge",
        "votes": 90,
        "created_at": "2024-01-09T22:13:42.397Z"
      },
      {
        "id": 65182,
        "title": "🌆Landeed: Do you own your property in India? Are you sure? Let's check 🕵🏽",
        "tagline": "Landeed is India's first, fastest and only multi-state property title checker🥇  ",
        "body": "**TL; DR We make it easy for real estate agents, owners, developers, bankers and legal advisors to instantly check property titles. Our Landeed** [**app**](https://www.landeed.com/) **retrieves government generated Encumbrance Certificate (EC) within seconds. This document summarizes all present and past transactions pertaining to a property going back multiple decades.**\n\nNamaste 🙏🏽 we are Jonathan, ZJ and Sanjay, the three musketeers fighting for your land rights. This is our second YC startup together and have known one another for 7 (lucky) years.\n\n### **💀** **Serious Problem 🚨**\n\nApproximately 67% of all court cases in India deal with land-related disputes. This is due to India’s legal framework of “presumptive ownership.” Under this model, the due diligence on property purchases falls on the buyer with government claiming no responsibility. Furthermore, there is no concept of a single “title document” leading to prolonged due diligence phase ranging from 2-6 months whereas most property transactions in US can be concluded in 2-4 days.\n\n### 🧪**Landeed Solution ⚡**\n\nLandeed is a national property title search engine. Use our [app](https://www.landeed.com/) and check property transaction ledger going back 20 years in 2 seconds. Think of it as “Google of real estate titles.” We built a standardized interface simplifying the multiple search methods across states into an intuitive and fluid user experience. Next up, Landeed for the world not just India!\n\n### 🪄**Let’s talk about the magic 👏🏽**\n\nLandeed weaves together multiple government departments across various states producing a “plaid-like” property summary data. Whereas government platforms focus on taxing users for civic micro-services and document generation, our product is built around specific user profiles that have strong intent to transact. The end-result of this approach is a consumer-centric product with enterprise capabilities. Search property titles 10x faster guaranteed or money back ! (it’s free for YC)\n\n### 🤵🏽**Damn I look good (the app)** 📲\n\n![landeed app encumbrance certificate screenshot 1](https://static.wixstatic.com/media/acf78d_f957a692fca24048b10ea00073c1a49a~mv2.png/v1/crop/x_736,y_180,w_1037,h_2120/fill/w_238,h_488,al_c,q_85,usm_0.66_1.00_0.01,enc_auto/ec_details_portrait.png)\n\n![landeed app encumbrance certificate screenshot 2](https://static.wixstatic.com/media/acf78d_92d55dce18e54a0e8c491f12cceb502a~mv2.png/v1/crop/x_731,y_171,w_1041,h_2128/fill/w_238,h_488,al_c,q_85,usm_0.66_1.00_0.01,enc_auto/webview_portrait.png)\n\n🗺️And yes, we support multiple states (Home court advantage: TS 🏏)\n\n🙏🏽Asks\n\n1. Download Landeed [app](https://www.landeed.com/) if you or anyone that you know have property in India\n2. Request a state to launch if we are not currently covering it! We have a high demand waitlist and are constructing our build plans accordingly\n3. Follow us on [twitter](https://twitter.com/LandeedInc?s=20&t=nWcLlnd9LyDH_vTopux4wA) and give us your feedback. It’s still day zero at Landeed.\n4. If you have any other feedback, we’d love to hear it at [founders@landeed.com](mailto:founders@landeed.com)\n5. And of course, if you feel what we are building is impactful, we would appreciate the upvote!\n6. Full disclosure and request: Do not illegally trespass, set up meat shacks (it will be bulldozed 🐂) or try to sell our lands without our express written consent and permission\n7. Nothing to see here except it’s our lucky number and proof that some of you have read all the way to the end. If so, slack or email Jonathan, ZJ or Sanjay simply with the message “7\" and get a surprise gift from us 🧧🎁",
        "url": "https://www.ycombinator.com/launches/GxK-landeed-do-you-own-your-property-in-india-are-you-sure-let-s-check",
        "votes": 913,
        "created_at": "2022-08-07T08:56:12.741Z"
      }
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    "id": 27254,
    "name": "Chima",
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        "full_name": "Nikhara Nirghin",
        "title": "Founder",
        "founder_bio": "Nikhara Nirghin is co-founder and CEO at Chima. She started Chima with Kiara, her sister after working at both Goldman Sachs and Deloitte Consulting and understanding the difficulties of activating enterprise data with AI. Nikhara earned her MBA at London Business School and did her undergrad and postgrad in Mathematical Statistics and Actuarial Science. Awards: International best paper on stochastic data modeling by the Reinsurance Group of America. Email: nikhara@withchima.com.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/nikharanirghin/",
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    "jobs": [
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        "id": 67196,
        "title": "Frontend Engineer",
        "url": "https://www.ycombinator.com/companies/chima/jobs/vwGFPHy-frontend-engineer",
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        "type": "Full-time",
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        "id": 68898,
        "title": "Senior Sales Development Representative",
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    "id": 27260,
    "name": "Coverage Cat",
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    "long_description": "Coverage Cat, the AI-native insurance broker, fixes your coverage limits and finds cheaper premiums. \r\n\r\nWe provide both AI and human support so you can get fast answers on your policy and quickly get a response from a human agent so you can protect you assets or close on a new home. \r\n\r\nThe AI-first approach drives core search, support and shopping experiences to ensure you get the best prices with the correct coverage. ",
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        "full_name": "Max Cho",
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        "full_name": "Gabriel Botelho",
        "title": "Founder/CTO",
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        "title": "[PAUSED] Senior Engineer",
        "url": "https://www.ycombinator.com/companies/coverage-cat/jobs/rOkcL9B-paused-senior-engineer",
        "location": "CA, US / Remote (CA, US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$140K",
        "equity_range": "0.05% - 0.50%",
        "experience": "6+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
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      {
        "id": 88545,
        "title": "[PAUSED] Fractional Operations Specialist (Contract)",
        "url": "https://www.ycombinator.com/companies/coverage-cat/jobs/TH81d0Y-paused-fractional-operations-specialist-contract",
        "location": "Remote (US)",
        "type": "Contract",
        "role": "Operations",
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        "salary_range": "$10 - $15 / hourly",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 94308,
        "title": "[PAUSED] Growth Engineer (Contract)",
        "url": "https://www.ycombinator.com/companies/coverage-cat/jobs/NJXH199-paused-growth-engineer-contract",
        "location": "Remote",
        "type": "Contract",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$15 - $25 / hourly",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
        "skills": [
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    "news": [
      {
        "title": "How Silicon Valley Turned on Silicon Valley Bank - WSJ",
        "url": "https://www.wsj.com/articles/how-silicon-valley-turned-on-silicon-valley-bank-ee293ac9",
        "date": "Mar 12, 2023"
      },
      {
        "title": "The biggest moonshots in YC's S22 batch • TechCrunch",
        "url": "https://techcrunch.com/2022/09/08/the-biggest-moonshots-in-ycs-s22-batch/",
        "date": "Sep 08, 2022"
      },
      {
        "title": "Coverage Cat is backed by YC",
        "url": "https://www.coverager.com/coverager-cat-is-backed-by-yc/",
        "date": "Aug 03, 2022"
      }
    ],
    "launches": [
      {
        "id": 116242,
        "title": "Shop for umbrella insurance via your personal agent (Muse, Instinct, OpenClaw, Hermes, etc.)",
        "tagline": "Your agent + Coverage Cat's API/MCP = better insurance",
        "body": "![uploaded image](/media/?type=post&id=116242&key=user_uploads/123258/c95ab970-fa7e-4c6c-b106-0343c5321734)\n\nWe’re proud to release our agent-native solution for consumers to compare and shop for umbrella and home insurance.\n\nPoint your preferred agent (Instinct, Codex, ClaudeCode, OpenClaw, Hermes, Jo, etc.) or any tool-using assistant (ideally with access to your context). Just tell it to:\n\n`Shop for umbrella insurance with Coverage Cat`\n\nOr, point it at [coveragecat.com](http://coveragecat.com) and tell it to do the same. What used to be a week of forms, phone tag, and PDF underwriting shrinks to a minimal prompt, review of your information, and credit consent.\n\nYour agent gathers your context, calls the calculators, compares carriers, and delivers a bindable quote — the complex, cross-carrier judgment call happens where it belongs: inside the loop with you and your AI, not on hold with a sales person.\n\nIt will pre-fill applications from what it already knows about you, ask for your review and confirmation, then hand back a resumable checkout link — all in a single conversation.\n\nWant something more packaged? Check out other agentic interface access options below:\n\nBrowse the catalog at [coveragecat.com/ai/skills](https://www.) or the source at [github.com/Coverage-Cat/skills](https://github.com/Coverage-Cat/skills).\n\nWant to use our MCP? Install it up and get access to both the comparison/purchase tools as well as read-only calculators, agent finders, and estimate tools — discovery lives at [coveragecat.com/api/agent](https://www.coveragecat.com/api/agent), the OpenAPI spec is at [coveragecat.com/api/agent/openapi.yaml](https://www.coveragecat.com/api/agent/openapi.yaml).\n\nPower users can install the CLI for operators:\\\n`npm install -g @coveragecat/cli # npm`\n\nor via Homebrew\n\n```\nbrew tap Coverage-Cat/coveragecat && brew install coveragecat   # Homebrew\n```\n\nWant your agent to check out our broader developer portal? <https://www.coveragecat.com/llms-full.txt>.\n\nHappy shopping!",
        "url": "https://www.ycombinator.com/launches/UEs-shop-for-umbrella-insurance-via-your-personal-agent-muse-instinct-openclaw-hermes-etc",
        "votes": 4,
        "created_at": "2026-09-22T15:38:06.824Z"
      },
      {
        "id": 106902,
        "title": "Coverage Cat AI Insurance Leaderboard",
        "tagline": "How do frontier models perform on complex insurance tasks?",
        "body": "#  Coverage Cat AI Insurance Bench\n\nWe’re Coverage Cat. We built an AI insurance benchmark to measure how frontier models perform on real insurance workflows, not trivia or generic reasoning tasks.\n\n### TL;DR\n\n![uploaded image](/media/?type=post&id=106902&key=user_uploads/123258/e54c9091-f0a5-4500-b9f8-125255d46418)\n\nCoverage Cat’s AI Insurance Benchmark compares 7 frontier models on two insurance-specific evals:\n\n* Price estimation: can a model estimate umbrella insurance quote ranges accurately?\n* Brokerage/Agent task: can a model answer practical insurance questions the way a good broker or agent would?\n\nThe public leaderboard ranks models by Elo Rating, Win Rate, Quote Coverage, Quote MAPE, Winkler Loss, and judged brokerage-task quality.\n\nView it here: Coverage Cat AI Insurance Benchmark (<https://www.coveragecat.com/ai/leaderboard>)\n\n### The Problem\n\nMost AI benchmarks don’t tell you whether a model is useful inside a real insurance workflow or whether consumers can really trust it for insurance information.\n\nInsurance work is full of messy edge cases: pricing uncertainty, underwriting rules, coverage terminology, household risk factors, and questions where the answer needs to be both correct and concise.\n\nThere has been good prior work on insurance AI benchmarks, including UNDERWRITE, which evaluates multi-turn underwriting agents with domain experts, noisy tools, and simulated users. That work focuses on enterprise underwriting agent behavior and found meaningful gaps between general model performance and enterprise readiness.\n\nOur benchmark is different: it focuses on consumer insurance workflows Coverage Cat actually needs to automate, including umbrella quote estimation and broker/agent-style answers. It is also designed as a public, continuously updated leaderboard rather than a one-time research benchmark.\n\n### What We Built\n\nThe first public version includes:\n\n* 2,800+ price-estimation scenarios\n* 19,000+ quote model results\n* 1,200+ brokerage/agent task questions\n* 8900+ QA model results\n* 7 tested models\n\nThe benchmark uses anonymized eval data, no-retention/no-logging model platforms, and aggregate-only public snapshots. Customer data is not exposed to model providers.\n\n### What’s Next\n\nWe’ll update the leaderboard soon with newer frontier models as they become available through our approved model-provider paths. We also expect to expand the benchmark with more brokerage workflows, richer human review, and additional insurance product lines.\n\nOur goal is simple: make it obvious which AI models are actually good at insurance work and help those models improve.\n\nView the leaderboard: Coverage Cat AI Insurance Benchmark (<https://www.coveragecat.com/ai/leaderboard>)\n\nIf you’re shopping for umbrella coverage, you can also start here: Coverage Cat Umbrella Insurance (<https://www.coveragecat.com/insurance-types/umbrella-insurance>).",
        "url": "https://www.ycombinator.com/launches/RoE-coverage-cat-ai-insurance-leaderboard",
        "votes": 2,
        "created_at": "2026-07-22T22:45:07.812Z"
      },
      {
        "id": 92734,
        "title": "Coverage Cat: Your AI-Native Insurance Agent",
        "tagline": "Insurance questions cause headaches. Coverage Cat is the relief.",
        "body": "Coverage Cat, the AI insurance agent, answers any questions you might have about home, auto, umbrella, life, and disability insurance. No more waiting on hold or puzzling over policy jargon. Coverage Cat's assistant can help you figure out if you should buy that policy, file that claim, or shop around for a better price at the click of a button.\n\n---\n\n## Expert Answers for Home, Auto, and Umbrella Insurance\n\nCoverage Cat is trained to provide the right answers about personal lines coverage:\n\n* **Home Insurance**: Learn what your policy covers, from water damage to liability limits.\n* **Umbrella Insurance**: Understand when and how your extra liability protection kicks in.\n* **Auto Insurance**: Get clear explanations on coverage. Never worry about what collision or comprehensive mean again.\n\n---\n\n## Policy Reviews Powered by AI\n\nDon't get bamboozled by the fine print. Just upload your insurance documents, and Coverage Cat examines policy terms to highlight important coverage details.\n\n---\n\n## Estimates for Claims and Coverage\n\nCurious about how a claim or coverage change might impact your premiums? Coverage Cat can create estimates based on specialized tools tools to offer cost and claims insights. Understand your financial exposure before you make your decisions!\n\n---\n\n## Coverage Cat Saves You Time and Money\n\nComplexity benefits insurers, not policyholders. Coverage Cat leverages our rich insurance data sets to create price transparency, and put valuable information into your hands.\n\n---\n\n## Easy Insurance Conversations Start Now\n\nInsurance need not frustrate. Coverage Cat turns your questions into straightforward answers. Clarity makes all the difference when dealing with a stressful part of your personal finances.\n\n---\n\n## Try Coverage Cat Today!\n\nJust visit us at [coveragecat.com](http://coveragecat.com) where you can get answers and shop for insurance.\n\n![uploaded image](/media/?type=post&id=92734&key=user_uploads/123258/9fdcf95e-d78a-44c5-956f-5ea7d8728fed)\n\n",
        "url": "https://www.ycombinator.com/launches/O7i-coverage-cat-your-ai-native-insurance-agent",
        "votes": 13,
        "created_at": "2025-08-05T02:01:00.343Z"
      },
      {
        "id": 65072,
        "title": "Coverage Cat - Insurance For People Who Don't Believe In Insurance",
        "tagline": "The Best Way to Buy Umbrella/Home/Life/Disability/Auto Insurance",
        "body": "Do you have any of: a net worth over $1million; a house; a car; a high paying job? Then Coverage Cat is the best way to buy insurance. We provide **real quotes**, aggressively comparison shop for you across policy types, and **never sell your data**. The result is thousands of dollars saved and weeks of work and phone calls.\n\n![uploaded image](/media/?type=post&id=65072&key=user_uploads/123258/92e2c8d5-44e3-4cf8-9df6-2ddecf5f19a4)\n\n### Fill out one form and we handle the rest\n\nDon’t waste another minute getting harassed by spam/sales people or figuring out if you bought the right policy. We will shop for you, explain your options, and ensure you get you the best policy for your needs. \n\n* Need umbrella insurance? Shop and learn on our [explainer page!](https://www.coveragecat.com/umbrella-insurance)\n* Need home, car, life, or disability insurance? Visit our [homepage](https://coveragecat.com).\n* Want to learn more about insurance? Check out our [blog](https://www.coveragecat.com/blog).\n* Live in California or Florida and worried about a price jump or non-renewal on your homeowners insurance? See our reviews of carriers that are still underwriting in both states: [Delos \\[CA\\]](https://www.coveragecat.com/review/delos), [Bamboo \\[CA\\]](https://www.coveragecat.com/review/bamboo), [Kin \\[FL\\]](https://www.coveragecat.com/review/kin).\n\n👋 We’re Max & Gabriel, co-founders of Coverage Cat.\n\n### Opportunity: Insurance - An essential product, often poorly purchased\n\nInsurance is an all-time great financial innovation. It represents a way for people to pool and mitigate significant risks when events have shaken out for the worst. \n\nBut the way insurance is been bought and sold has generated a mismatch between the protection from risk that insurance products SHOULD provide. This forces tens of thousands of people to go bankrupt every year from risks that could be properly insured– Often while overpaying for coverage that doesn't protect them from catastrophic risk.\n\n### Problem: Insurance is complicated\n\nThe web of carriers, brokers, contracts, and claims that ensure your risks are properly handled can be an absolute nightmare for people who just want to feel like the things that are important to them are protected.\n\n### The Solution: A one-step process to find the best insurance\n\nWe collect information on how much you feel comfortable losing, in addition to standard insurance questions. Coverage Cat’s AI and team of specialists then searches across available carriers to find the policies and prices for your needs. If you’re in CA, FL, NY, TX, or WA we’d appreciate the opportunity to save you a bundle!\n\nCheers, Max & Gabriel 🐱",
        "url": "https://www.ycombinator.com/launches/GvY-coverage-cat-insurance-for-people-who-don-t-believe-in-insurance",
        "votes": 46,
        "created_at": "2022-08-02T16:06:51.203Z"
      }
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    "id": 27361,
    "name": "Polymath Robotics",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Polymath is building a general autonomy stack for cautious vehicles.  Our software allows any industrial vehicle - whether it's a tractor in a field or a bulldozer in a mine, drive itself.  We bundle together AI, ML, Controls, ROS, Safety and best-in-class deployment practices to enable our customers to tell automated vehicles to do via a REST API.\r\n\r\nWe're on more robots than we have engineers, are seeing our revenue (and robotic fleet) grow rapidly, and are looking for folks who want to help automate the world.",
    "one_liner": "General Autonomy for Industrial Vehicles",
    "team_size": 25,
    "industry": "Industrials",
    "subindustry": "Industrials -> Manufacturing and Robotics",
    "launched_at": 1659110769,
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    "batch": "Summer 2022",
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    "regions": [
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/polymath-robotics",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/polymath-robotics.json",
    "year_founded": 2021,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/polymath-robotics/",
    "x_url": "https://twitter.com/polymathrobots",
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    "cb_url": "https://www.crunchbase.com/organization/polymath-robotics",
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    "primary_partner": {
      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
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    "founders": [
      {
        "user_id": 136341,
        "full_name": "Stefan Seltz-Axmacher",
        "title": "Founder",
        "founder_bio": "Robots that are buildable and valuable are the most magical.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/stefanseltzaxmacher",
        "x_url": "https://twitter.com/stefanesa",
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      },
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        "user_id": 920849,
        "full_name": "Ilia Baranov",
        "title": "Founder/CTO",
        "founder_bio": "There is a certain enchanting magic that comes from working with robots;\nBy waving our hands, we can make machines seem alive.",
        "is_active": true,
        "linkedin_url": "http://linkedin.com/in/iliabaranov",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c64fc8a7f715908988488379782f0e67bf6d8b88.jpg"
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    ],
    "jobs": [
      {
        "id": 90535,
        "title": "Associate, Customer Program Management",
        "url": "https://www.ycombinator.com/companies/polymath-robotics/jobs/M1qC4rT-associate-customer-program-management",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Product",
        "role_type": null,
        "salary_range": "$100K - $125K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 94200,
        "title": "Senior Verification & Validation (V&V) Engineer - San Francisco",
        "url": "https://www.ycombinator.com/companies/polymath-robotics/jobs/izf2VxL-senior-verification-validation-v-v-engineer-san-francisco",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Robotics",
        "salary_range": "$150K - $200K",
        "equity_range": "0.02% - 0.05%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 112649,
        "title": "Account Executive",
        "url": "https://www.ycombinator.com/companies/polymath-robotics/jobs/8sCtro4-account-executive",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
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        "equity_range": "",
        "experience": "3+ years",
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        "id": 113108,
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        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Robotics",
        "salary_range": "$113K - $150K",
        "equity_range": "0.03% - 0.06%",
        "experience": "1+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 116081,
        "title": "Autonomous Vehicle Test Specialist – San Francisco",
        "url": "https://www.ycombinator.com/companies/polymath-robotics/jobs/KcVZbqK-autonomous-vehicle-test-specialist-san-francisco",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "QA engineer",
        "salary_range": "$70K - $100K",
        "equity_range": "0.01% - 0.03%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "The 30 Early-Stage Startups in 2026 Most Likely to Become Tech's Next Unicorns - Business Insider",
        "url": "https://www.businessinsider.com/the-30-early-stage-startups-in-2026-most-likely-to-become-techs-next-unicorns-2026-3#polymath-robotics-21",
        "date": "Mar 03, 2026"
      },
      {
        "title": "Case Study: Polymath Robotics and ConGlobal Collaboration",
        "url": "https://www.polymathrobotics.com/blog/case-study-polymath-and-conglobal",
        "date": "Feb 12, 2025"
      },
      {
        "title": "CES 2025: Self-driving cars were everywhere, plus other transportation tech trends | TechCrunch",
        "url": "https://techcrunch.com/2025/01/12/ces-2025-self-driving-cars-were-everywhere-plus-other-transportation-tech-trends/",
        "date": "Jan 12, 2025"
      },
      {
        "title": "Autonomous vehicles are having a moment and other vibes from CES 2025 | TechCrunch",
        "url": "https://techcrunch.com/2025/01/09/autonomous-vehicles-are-having-a-moment-and-other-vibes-from-ces-2025/",
        "date": "Jan 09, 2025"
      },
      {
        "title": "Polymath Robotics to share lessons learned as a SaaS-based startup at RoboBusiness - The Robot Report",
        "url": "https://www.therobotreport.com/polymath-robotics-to-share-lessons-learned-at-a-saas-based-startup-at-robobusiness/",
        "date": "Aug 14, 2024"
      }
    ],
    "launches": [
      {
        "id": 65002,
        "title": "📍 Polymath Robotics: plug & play autonomy for industrial vehicles",
        "tagline": "Polymath lets you easily add autonomy to any industrial vehicle, and build your own applications via Rest API.",
        "body": "Hey, we’re Stefan & Ilia, founders of Polymath Robotics.\n\n**Polymath makes autonomy software for industrial vehicles.**\n\nToday we’re excited to introduce **Caladan**: a set of simulated vehicles & environments you can use to build autonomous industrial vehicle applications via Rest API.\n\n### **The problem**\n\nBuilding an autonomous industrial vehicle is a multiyear, multimillion-dollar project. Just getting a vehicle to drive itself reliably takes 6 months of engineering effort at a minimum. Even then, the autonomy itself is often buggy and unreliable, and impossible to transfer across different vehicle types.\n\nAs a result, many autonomy companies run out of steam before they even have a reliably-working product … let alone product-market fit.\n\n### **Our solution: general autonomy software**\n\nPolymath software handles generalized basic autonomy — in other words, **driving around and not hitting stuff** — for any industrial vehicle in a controlled environment. That means autonomous industrial vehicle companies can have an autonomous vehicle on day 1.\n\nSince we’re _just_ working on autonomy, we can focus on making the system **stable and reliable.** No more battling with weird controls issues or buggy obstacle detection.\n\n### Caladan: build on Polymath autonomy in simulation\n\nCaladan makes it easy to build autonomous vehicle behaviors in sim. The tool is a set of simulated vehicles & environments you can use to interact with Polymath autonomy via Rest API.\n\nThat means you can program custom autonomous vehicle behaviors and applications using Python, not ROS. And when you’re ready, whatever you’ve built in Caladan can seamlessly transition to a physical vehicle.\n\n### Product demo / example application\n\nHere’s an example application you could build with Caladan (you can download the example code [here](https://github.com/polymathrobotics/caladan_examples)).\n\n<https://www.youtube.com/watch?v=sFSxBcWxsUU&feature=youtu.be>\n\nThe free version of Caladan comes with a simulated farm environment or simulated port environment. You can also reach out to us about a custom environment & vehicle in Caladan.\n\n### **Does Polymath autonomy work for my vehicle/use case?**\n\nPolymath autonomy is limited to industrial vehicles in closed environments, since the system will stop immediately if there’s trouble, and fall back on teleoperation in hazardous situations.\n\n**Use case examples:** ⛏ Mining trucks • 🚜 Agricultural vehicles • 🌲 Logging trucks • ✈️ Ground support equipment at airports • 🚢 Yard trucks\n\n### **Can I try it?**\n\nHeck yeah. You can try Caladan for free by signing up [here](http://polymathrobotics.com/product).",
        "url": "https://www.ycombinator.com/launches/GuQ-polymath-robotics-plug-play-autonomy-for-industrial-vehicles",
        "votes": 67,
        "created_at": "2022-07-29T15:56:38.207Z"
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        "full_name": "Aaron Cooper",
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        "type": "Full-time",
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        "role_type": "Full stack",
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        "title": "Account Executive (B2B)",
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        "title": "Frontend Engineer",
        "url": "https://www.ycombinator.com/companies/sameday/jobs/ylhHaMO-frontend-engineer",
        "location": "Lehi, UT, US",
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        "role": "Engineering",
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        "salary_range": "$125K - $150K",
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        "skills": [
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        "id": 66986,
        "title": "Backend Engineer",
        "url": "https://www.ycombinator.com/companies/sameday/jobs/n19CuRo-backend-engineer",
        "location": "Lehi, UT, US",
        "type": "Full-time",
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        "title": "Senior Backend Engineer",
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        "title": "Product Manager",
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        "equity_range": "0.01% - 0.30%",
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        "skills": [
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      },
      {
        "id": 84175,
        "title": "Revenue Operations Manager",
        "url": "https://www.ycombinator.com/companies/sameday/jobs/K7MDzAx-revenue-operations-manager",
        "location": "Pleasant Grove, UT, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$85K - $130K",
        "equity_range": "0.10% - 0.30%",
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    "news": [
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        "title": "Check Out 55 Generative AI Startups in Y Combinator's Latest Batch",
        "url": "https://www.businessinsider.com/generative-ai-startups-launch-ycombinator-demo-day-winter2023-2023-4#sameday-38",
        "date": "Apr 24, 2023"
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      {
        "id": 65994,
        "title": "📞 Sameday: Always be available.",
        "tagline": "Sameday answers any calls your sales team otherwise would miss and follows up until the sale is made.",
        "body": "Super thrilled to share Sameday with all of you!\n\nOur customers say they’ve never heard anything like it, and that’s the point. People love talking to Sameday’s virtual sales agents. Not only does Sameday sound ultra-human, but it acknowledges a customer’s pain, overcomes objections, and follows up until the sale is made. With a close rate of 80%. \n\nYes, you read that right.\n\n**Sameday’s virtual sales agent closes 80% of all sales calls it receives.**\n\n### **❌ The Problem**\n\nHome service businesses fail to answer 62% of phone calls.\n\nPaying 4X more per lead than any other industry, missing just one sales call costs $80 on average. \n\n**Third-party call centers are expensive.** Averaging several dollars per minute, they also fail schedule services effectively; resulting in low sold to service rates and an even higher cost per acquisition. (Most of Sameday’s customers switched from a third-party call center)\n\n**Staffing is difficult.** Most hire family and friends to answer the phone, while others attempt to answer it themselves…while on the job…covered in who knows what. Some have large call centers, struggling to balance an acceptable ROI and the turnover that comes with a call center. (Many Sameday customers have call centers with 50+ employees)\n\n### **✅ The Solution**\n\nA virtual sales agent that answers any phone calls your team would otherwise miss. But it doesn’t stop there…\n\n**Sameday follows up, initiating outbound calls on its own to ensure every lead gets on the schedule.**\n\nCombine that with Sameday’s ability to onboard new customers in seconds, ultra-human voice, which we call, “Pro Voice”, and the ability to overcome objections, Sameday eliminates all the common pitfalls of other AI solutions, resulting in our customers saying, “Wow”.\n\n**You can learn more at** [**gosameday.com**](https://www.gosameday.com/)\n\n![uploaded image](/media/?type=post&id=65994&key=user_uploads/902840/c08a1316-dc73-4e4e-9ceb-8e27c9800f3d)\n\n",
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        "votes": 29,
        "created_at": "2022-09-12T16:02:58.374Z"
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        "title": "🔎 Nucleus - LLM search across sales transcripts for Product Marketing teams",
        "tagline": "LLM powered conversational search engine over sales calls that helps product marketing teams discover what to build and pitch at the speed of thought. ",
        "body": "**tl;dr:** Product marketing teams spend hours listening to sales calls or using archaic keyword searches that often lead to false positives. We are building an LLM-powered search engine so Product Marketing teams can unlock the gold that exists in hundreds or thousands of sales calls. Nucleus automatically indexes and buckets hundreds of attributes per B2B client, such as objections, feature requests, and competitor mentions, to power your insights.\n\nHi everyone, we’re Akash, Nikhil, and Anirudh - the team behind Nucleus.\n\n![uploaded image](/media/?type=post&id=80334&key=user_uploads/583810/72ab75fc-307a-4e61-b6e9-bca1a0756bcb)\n\n# **🧨 The problem - hours spent listening to calls**\n\nProduct marketing teams spend hours listening to sales call recordings or painfully searching through transcripts by keywords to inform their sales pitch, marketing campaigns, upsells/cross-sells, and product roadmap. \n\nTake our client Jacob as an example. Jacob is a Product Marketing Manager who is responsible for positioning his product against competitors. He has to sit through call recordings to understand how prospects perceive competitors and how his company’s pitch is resonating with clients. He even hired a sales enablement analyst recently to organize calls and deliver insights to him.\n\n# 🎉 **The solution - ask Nucleus**\n\nNucleus empowers PMMs with **Revenue Reasoning** and **Revenue Observability** to convert thousands of sales calls into actionable insights.\n\nWith Nucleus Revenue Reasoning, product marketing teams can ask Nucleus a question in plain English like “Show me stage 1 prospects that were previously using Zoominfo for prospecting and what are their limitations with it?”. Nucleus will answer the question directly with LLM reasoning, along with supporting evidence from client calls.\n\n![uploaded image](/media/?type=post&id=80334&key=user_uploads/208653/ea5c36a8-aec6-4dac-828b-17f0abbcedb3)\n\nRather than relying on just keywords that often lead to false positives, with Nucleus Revenue Observability, Jacob can set up LLM-powered smart trackers that ping him in real-time when something he cares about happens in a call, such as when a prospect describes how they perceive a competitor. Nucleus’s LLMs go beyond archaic and often unfruitful keyword matching and instead reason over entire calls to deliver insights.\n\n![uploaded image](/media/?type=post&id=80334&key=user_uploads/208653/523b9be7-9531-457f-9e71-ea11e5c29e4b)\n\n# **👋 Asks**\n\n**Follow our journey on **[**Twitter**](https://twitter.com/NucleusLLM)** & **[**LinkedIn**](https://www.linkedin.com/company/nucleus-yc)**.**\n\n* If you are a B2B company that does more than 30 calls a week, [talk to us to see](https://calendly.com/akash-88/nucleus-ai) if we can be of help.\n* Share this post with your Product Marketing friends at B2B companies.\n\nThank You 🙏",
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        "votes": 24,
        "created_at": "2024-04-22T17:50:45.342Z"
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        "full_name": "Darren Hsu",
        "title": "Founder",
        "founder_bio": "COO, Co-Founder Rubbrband, UC Berkeley.\nBuilding creativity at Rubbrband",
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        "id": 92373,
        "title": "Creative Director, Video Ads",
        "url": "https://www.ycombinator.com/companies/rubbrband/jobs/bFh2bFy-creative-director-video-ads",
        "location": "San Francisco, CA, US / Remote",
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        "title": "Motion Graphics Designer, Video Ads",
        "url": "https://www.ycombinator.com/companies/rubbrband/jobs/MBqv06s-motion-graphics-designer-video-ads",
        "location": "San Francisco, CA, US / Remote (US)",
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        "role_type": "Animation",
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        "id": 92732,
        "title": "Motion Graphics Designer, Video Ads (Contract)",
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    "launches": [
      {
        "id": 93303,
        "title": "Rubbrband - Make movies using AI",
        "tagline": "Create movies from screenplay, while controlling dialogue, sound, and shots.",
        "body": "Hey YC, we’re Rubbrband from the W23 batch! We’re building a new way to make movies using AI.\n\nHere’s a quick demo:\n\nhttps://youtu.be/m48rxBNuhQc\n\n# What is Rubbrband?\n\nRubbrband helps you turn a script into a film.\n\nYou control **dialogue**, **sound**, and **shots**.\n\nHeres how it works:\n\nUpload a script. Lock in characters and costumes. Record or upload voices for each character. Generate OST. Export an MP4.\n\n![uploaded image](/media/?type=post&id=93303&key=user_uploads/270510/4e1366a9-3350-4d55-9ea1-54730355e673)\n\n---\n\n# Who are we?\n\nWe’re college roommates from UC Berkeley!\n\n* **Jeremy** — worked on ML + audio at CNMAT.\n* **Darren** — ML researcher (MRI focus) at Berkeley.\n* **Abhinav** — RL/ML at BAIR.\n\n---\n\n# The problem\n\nIt’s currently hard to make long-form movies using AI tools.\n\nFilmmakers need **one place** where the world, the shots, the voices, and the music stay in sync.\n\n![uploaded image](/media/?type=post&id=93303&key=user_uploads/270510/3862baa2-530a-4d40-b7aa-f0a043afdbef)\n\n---\n\n# Our solution\n\nA tool that keeps context on a film and lets you generate **inside** it.\n\n* **Script breakdown:** characters, scenes, dialogue.\n* **Character design:** bring your art or generate; lock a base look + costumes.\n* **Voices:** record or clone. One default voice per character.\n* **Shot list:** type, lens, angle, move.\n* **OST:** generate cues per scene; loopable; stems when supported.\n* **Final movie:** assemble into a timed cut with dialogue + music. Export MP4\n\n---\n\n# Our ask\n\n* **Comment me for early access** (we’re rolling seats out weekly) at [jeremy@rubbrband.com](mailto:jeremy@rubbrband.com)\n* Intros to directors, showrunners, or previz leads are welcome",
        "url": "https://www.ycombinator.com/launches/OGt-rubbrband-make-movies-using-ai",
        "votes": 11,
        "created_at": "2025-08-25T14:48:03.203Z"
      },
      {
        "id": 81865,
        "title": "Rubbrband - Generate images in your own style, repeatably",
        "tagline": "Rubbrband allow creatives to design steps for generating images in their unique style, repeatably.",
        "body": "Hi everyone! We’re the team behind [Rubbrband](https://rubbrband.com/). We’re building a highly controllable way to generate images.\n\n<https://www.youtube.com/watch?v=kbkMARYxdBI>\n\n**Problem:**\n\nGenerating images in your own unique style is difficult with the current AI tools. Creatives want specific controls over aspects of an image, like the color palette, as well as control over which model they’re using to generate images.\n\nAdditionally, consistently reproducing that style is difficult because AI models don’t have the ability to remember past interactions and preferences. This makes it hard for artists and designers to achieve their desired results repeatedly.\n\n**Solution:**\n\n**Rubbrband Workflows** allow creatives to design steps for generating images repeatably.\n\nBy setting up a workflow, you can define a sequence of steps that produce consistent results. This ensures that every image generated follows your specific style and preferences, eliminating the variability often encountered with other AI tools.\n\n![uploaded image](/media/?type=post&id=81865&key=user_uploads/270510/aa30399b-e4ee-4f76-b0db-35c223885eb4)\n\nRubbrband offers the following features:\n\n* 🎨 **Highly controllable**: Enjoy detailed control over color palettes, reference images, and other controls.\n* 🖼️ **Access to thousands of models**: Utilize any CivitAI checkpoint or LORA for your image generation needs.\n* 💡 **Smart Prompting**: Get suggestions for image styles in your prompts to enhance your creative process.\n* 🧩 **Extensive Node Library**: Access over 20 nodes, including SD, ControlNet, Masking nodes, GPT-4, and more.\n* 🛠️ **Simplified Playground Interface**: Use workflows in an intuitive, easy-to-navigate Playground page.\n* 🌐 **Community Sharing**: Share your workflows and discover others’ creations on the Community page.\n\n![uploaded image](/media/?type=post&id=81865&key=user_uploads/270510/aeb2f636-44ce-4e58-85fe-11d9a903513b)\n\nRubbrband is available to use [here](https://rubbrband.com)! \n\nWe would love to hear your feedback! Please send questions and comments to [contact@rubbrband.com](mailto:contact@rubbrband.com).",
        "url": "https://www.ycombinator.com/launches/LIP-rubbrband-generate-images-in-your-own-style-repeatably",
        "votes": 8,
        "created_at": "2024-07-11T14:16:52.528Z"
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      {
        "id": 69806,
        "title": "Rubbrband: Train open-source ML models in a line of code",
        "tagline": "Meet Rubbrband: The tool that enables users to rapidly train the latest ML models",
        "body": "### **What is Rubbrband?**\n\nRubbrband is a CLI tool that enables developers to rapidly experiment with and train the latest open-source ML models. For example, Rubbrband allows you to fine-tune your own version of Dreambooth’s Stable Diffusion in just 1 line of code:\n\n![uploaded image](/media/?type=post&id=69806&key=user_uploads/270510/85f6ebcc-2d0f-49ce-adb9-e2dbb7c23253)\n\n### **Who are we?**\n\nWe’re college roommates who met at orientation at UC Berkeley. Together we grappled with open-source ML projects that were very difficult to set up (due to CUDA and python dependency conflicts), and even more difficult to apply on our specific research problem. While the state-of-the-art looked magical, it always seemed to be out of reach.\n\n![uploaded image](/media/?type=post&id=69806&key=user_uploads/270510/8cdbfa6d-330c-459f-8d00-c6983ab47480)\n\n**Jeremy** (Left) - Former ML researcher at CNMAT at UC Berkeley.\n\n**Darren** (Middle) - Former ML researcher at UC Berkeley focused on MRI.\n\n**Abhinav** (Right) - Former RL/ML researcher at Berkeley AI Research Lab.\n\n### **The problem**\n\nThere’s a deluge of breakthroughs in Machine Learning every week.\n\nHowever, it’s extremely challenging for developers to leverage these open-source works to solve their own problems. _This is primarily due to the fact that researchers and ML developers optimize for development velocity, and not for reproducibility or extendibility._\n\nAs a result, the entire Machine Learning space seems to be held together with duct tape, as people throw together undocumented scripts to start training runs, which always seem to break one week later.\n\n### **The solution**\n\nWith Rubbrband, **we want to bring a world-class experience to training ML models**. By creating a simple Python library that abstracts away training environments (CUDA drivers, pip dependencies, and C libraries), and exposing a few commands of interest, _developers will be able to rapidly experiment with the bleeding edge in Machine Learning_. By doing so, developers will be able to solve hard problems that otherwise may have remained unsolved.\n\n### Our ask\n\n[Check out our open-source project, and give it a star! ⭐️](https://github.com/rubbrband/rubbrband)",
        "url": "https://www.ycombinator.com/launches/I9u-rubbrband-train-open-source-ml-models-in-a-line-of-code",
        "votes": 78,
        "created_at": "2023-03-01T13:59:08.494Z"
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    "id": 27655,
    "name": "Avoca",
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    "website": "https://www.avoca.ai/",
    "all_locations": "New York City, NY, USA",
    "long_description": "We specialize in voice and can close customers across every channel 24/7. ",
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        "full_name": "Apurva Shrivastava",
        "title": "Founder",
        "founder_bio": "Apurva is a 2nd time founder who studied CS at MIT and has worked on AI products at Apple, Sunshine, and was most recently at Retool where I did engineering. Growing up in Michigan, he helped his parents handle tiresome communications while establishing their own small business.\n",
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        "full_name": "Tyson Chen",
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        "url": "https://www.ycombinator.com/companies/avoca/jobs/82uMqgA-forward-deployed-engineer",
        "location": "New York HQ",
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      {
        "title": "The AI Agents Helping Home Services Book More Jobs",
        "url": "https://www.youtube.com/watch?v=EHp1HgwCo9I",
        "date": "Jun 29, 2026"
      }
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      {
        "id": 70104,
        "title": "Avoca – AI-powered communications platform for SMBs",
        "tagline": "We’re equipping every SMB with an intelligent, 24/7 customer communications platform so business owners can get back to focusing on their core business",
        "body": "# **TLDR;**\n\nSMBs lack the tools, people, and time to effectively capture customer intent, convert customer interest, and build customer loyalty. That’s where we come in. [Avoca](https://www.avoca.ai/) handles all customer inbound interest as well as outbound communications.\n\n### **We’re two good friends from college that love building AI-first products:**\n\n![uploaded image](/media/?type=post&id=70104&key=user_uploads/528003/f441ebc9-0779-465e-934c-9dfa37a0286b)\n\n[Apurva](https://www.linkedin.com/in/apurva-shrivastava-138b19a0/) is a 2nd time founder who studied CS at MIT and has worked on AI products at Apple and Sunshine. He most recently was an engineer at Retool where he worked with some of their largest customers. Growing up in Michigan, he helped his parents handle communications with their own small business.\n\n[Tyson](https://www.linkedin.com/in/tysonchen17/) studied CS at MIT where he worked on generative AI for drug discovery. Since then he’s worked on AI projects for F500 companies at BCG and as a PM at Nuro. He’s seen the problem first hand at home with his mom’s local acupuncture business.\n\n### **❌ The Problem**\n\n**SMBs lack the resources to properly manage their customer communications.**\n\n* They miss over half their phone calls \n* 85% of the time when a call is missed, the customers don’t leave voicemails or call back; they often choose a competitor\n* They have delayed responses to texts / emails\n* They lack organized ways to activate customer loyalty and create repeat business\n\n**Existing alternatives are either expensive or inefficient.**\n\n* Receptionists (both virtual & non-virtual) are costly, not 24/7, require days of onboarding time, and have high variance in terms of performance\n* Call centers are costly (few dollars / minute), inconsistent, don’t integrate with business systems (e.g., CRMs), and can only handle calls\n* Existing tech solutions are expensive and limited\n\n### **✨ Our Solution**\n\n[**Example**](https://www.youtube.com/watch?v=2IGVpM4JPUo)\n\n[Avoca](https://www.avoca.ai/) automates all inbound and outbound needs for every SMB.\n\n**Inbound**\n\n* 24/7 phone assistance so no calls are missed again - answer questions, book appointments, collect information\n* Personalized text and email handling - ensure existing and potential customers get fast responses\n\n**Outbound**\n\n* Booking confirmations to minimize cancellations / no-shows\n* Review sequences that boost a business’s Google and Yelp reviews after job completion\n* Follow-ups & promotions to previous customers to build loyalty\n\n### **🙏 Asks**\n\n* 📣 Sharing: Please share this announcement with your network and follow us on [LinkedIn](https://www.linkedin.com/company/avoca-ai/)!\n* 👥 Referrals: If you know of anyone who owns a local business and could benefit from Avoca, please connect us ([founders@avoca.ai](mailto:founders@avoca.ai)). Especially if they are in one of the following verticals: home services, property management, real estate, family medical practice (e.g., dentist, massage therapist), law.",
        "url": "https://www.ycombinator.com/launches/IEi-avoca-ai-powered-communications-platform-for-smbs",
        "votes": 502,
        "created_at": "2023-03-09T19:29:58.089Z"
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Infisical is the all-in-one security infrastructure platform for secrets, certificates, and privileged access management.\r\n\r\nInfisical stores your secrets and injects them back into your development workflow, CI/CD pipelines, and cloud infrastructure. It comes with secrets versioning, point-in-time recovery, audit logging, automatic secret rotation capabilities, and more.",
    "one_liner": "Security infrastructure for developers and agents",
    "team_size": 70,
    "industry": "B2B",
    "subindustry": "B2B -> Security",
    "launched_at": 1674066953,
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        "full_name": "Vlad Matsiiako",
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        "visa": "US citizenship/visa not required",
        "skills": [
          "JavaScript",
          "React",
          "TypeScript",
          "Figma"
        ]
      },
      {
        "id": 103074,
        "title": "Enterprise Account Executive ",
        "url": "https://www.ycombinator.com/companies/infisical/jobs/bqS2vGP-enterprise-account-executive",
        "location": "New York, NY, US / Seattle, WA, US / Chicago, IL, US / Boston, MA, US / San Francisco, CA, US / Remote (New York, NY, US; Seattle, WA, US; Chicago, IL, US; Boston, MA, US; San Francisco, CA, US)",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
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      },
      {
        "id": 103075,
        "title": "Solutions Engineer",
        "url": "https://www.ycombinator.com/companies/infisical/jobs/D4OujHu-solutions-engineer",
        "location": "New York, NY, US / Austin, TX, US / Atlanta, GA, US / Raleigh, NC, US / Washington, DC, US / Boston, MA, US / Remote (New York, NY, US; Austin, TX, US; Atlanta, GA, US; Raleigh, NC, US; Washington, DC, US; Boston, MA, US)",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
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        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
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      }
    ],
    "news": [
      {
        "title": "Infisical: The Open Source Security Stack",
        "url": "https://www.youtube.com/watch?v=qDumDlXcMkg",
        "date": "Jun 06, 2025"
      },
      {
        "title": "Infisical raises $16 million Series A led by Elad Gil to safeguard secrets | Fortune",
        "url": "https://fortune.com/2025/06/06/infisical-raises-16-million-series-a-led-by-elad-gil-to-safeguard-secrets/",
        "date": "Jun 06, 2025"
      },
      {
        "title": "Google's Gradient backs YC alum Infisical to solve secret sprawl | TechCrunch",
        "url": "https://techcrunch.com/2023/07/03/googles-gradient-backs-yc-alum-infisical-to-solve-secret-sprawl/",
        "date": "Jul 03, 2023"
      }
    ],
    "launches": [
      {
        "id": 69599,
        "title": "💚 Infisical - The open source secrets manager for developers",
        "tagline": "Open source, end-to-end encrypted tool that lets you securely sync secrets and configs across your team, devices, and infrastructure",
        "body": "Hey there, this is team Infisical 🏂\n\n[Infisical](https://infisical.com/) is an open-source, end-to-end encrypted platform for developers to centralize their application secrets and configs, and sync them across their whole development life cycle.\n\nWe launched 3 months ago, and already have 4.2K+ stars on GitHub, 50 contributors, and 220+ community members 🚀\n\n![uploaded image](/media/?type=post&id=69599&key=user_uploads/942802/00941739-4c42-44c8-92e8-e8fc55f7cb1b)\n\n\n**Imagine this**: You add a new environment variable to your team’s codebase, push it up to GitHub, and head out for dinner. Shortly after, your teammate pulls the latest changes and everything crashes because they're missing that variable.\n\nYou come back to angry messages from your teammate and quickly send them the variable over text, risking a security vulnerability. Everything seems to be working until the next day when you deploy to production, and once again, everything crashes because you forgot to add the environment variable to the production environment.\n\nSounds relatable?\n\n![uploaded image](/media/?type=post&id=69599&key=user_uploads/942802/d8e6a881-8412-4baf-8f54-b8defb0ecd46)\n\n\n## **Problem**\n\nSecrets play a critical role in every stage of the software development lifecycle, from local development to staging, testing, and production. Even so, teams routinely run into challenges dealing with secret management:\n\n* **Missing secrets across infrastructure**: Having secrets sprawled across infrastructure with no central visibility and control often leads to missing secrets. In turn, applications crash in production and developers lose precious time debugging what’s missing.\n* **Leaking secrets to source control**: Even the biggest companies accidentally expose hardcoded secrets and .env files. When it happens, the consequences are grave.\n* **Lacking self-hosted alternatives**: Many great solutions are not self-hostable or end-to-end encrypted, a challenge for companies requiring it. In a world where security and privacy are increasingly paramount, having these options are essential.\n\n## **Solution**\n\nInfisical provides an open-source, end-to-end encrypted platform for developers to manage their application secrets and sync them across their team and software development lifecycle.\n\nWith Infisical, you can:\n\n* **Securely store and deliver** application secrets to your infrastructure with integrations available for Docker, Kubernetes, AWS, Vercel, GitHub Actions, etc.\n* **Inject secrets** into applications instead of using .env files that often get leaked.\n* **Self-host** Infisical on your own infrastructure.\n* **Enhance observability** of secrets and teammates with secret versioning, rollbacks, and audit logs for every action taken.\n\n![uploaded image](/media/?type=post&id=69599&key=user_uploads/942802/afe74cca-1292-4f25-b0d5-03ae9fc21327)\n\n\n## **Asks**\n\n* Check out Infisical at <https://infisical.com>\n* Contact [tony@infisical.com](mailto:tony@infisical.com) if your company needs help with secret management\n* Intros to companies that in your experience may benefit from Infisical",
        "url": "https://www.ycombinator.com/launches/I6Z-infisical-the-open-source-secrets-manager-for-developers",
        "votes": 58,
        "created_at": "2023-02-23T15:39:57.107Z"
      }
    ]
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    "id": 27666,
    "name": "Middleware",
    "slug": "middleware",
    "former_names": [
      "Middleware Labs Inc"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/dc8d28e84cb985c9cc0b597aae845c99c32f9a23.png",
    "website": "https://www.middleware.io",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Middleware is a full-stack cloud observability platform. We allow the dev and ops teams to debug the issue faster by bringing all the metrics, logs, traces, and events to a single unified timeline and train data to AI so it can give better insight into infrastructure and application.  \r\n\r\n- Single command installation to collect all the metrics, logs, traces, and events.\r\n- AI-based anomaly and error detection \r\n- GPT 4-based error resolution\r\n- Support Infrastructure monitoring, Logs, APM, Kubernetes Monitoring, Synthetic Monitoring,  RUM, Custom dashboard, and Alerts. \r\n- Full-stack observability, observe any stack at any scale.\r\n\r\nWe are at Middleware and wanted to make cloud observability faster, cheaper, and better. \r\n",
    "one_liner": "AI-based full stack observability platform",
    "team_size": 40,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1674636018,
    "tags": [
      "AIOps",
      "SaaS",
      "AI"
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    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Active",
    "industries": [
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      "Infrastructure"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/middleware",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/middleware.json",
    "year_founded": 2022,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/middleware-labs/",
    "x_url": "https://twitter.com/middleware_labs/",
    "fb_url": "https://www.facebook.com/middlewarelabs/",
    "cb_url": "https://www.crunchbase.com/organization/middleware-4460",
    "github_url": "https://github.com/middleware-labs/",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/dc8d28e84cb985c9cc0b597aae845c99c32f9a23.png",
    "app_video_url": null,
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    "company_photos": [],
    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
    },
    "founders": [
      {
        "user_id": 1149383,
        "full_name": "Laduram Vishnoi",
        "title": "Founder",
        "founder_bio": "Founder & CEO at Middleware. Ex-founder of Acquire.io, a customer engagement platform, I took the company from just myself to 200 people and raised $57m in venture capital until the Series B round. Side angel investor and advisor. Born in a small town in India called Jodhpur, grew up in London and living in San Francisco since 2016. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/laduramvishnoi/",
        "x_url": "https://twitter.com/laduramvishnoi",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5bf15bbec75b9e381a0a4c9eee0983462e4d43a4.jpg"
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    ],
    "jobs": [
      {
        "id": 61083,
        "title": "Founding AI Engineer",
        "url": "https://www.ycombinator.com/companies/middleware/jobs/8l5TKYq-founding-ai-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$200K - $400K",
        "equity_range": "1.00% - 2.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Python",
          "TypeScript"
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      },
      {
        "id": 87983,
        "title": "Founding Account Executive ",
        "url": "https://www.ycombinator.com/companies/middleware/jobs/8i09BX9-founding-account-executive",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$250K - $400K",
        "equity_range": "0.50% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
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    ],
    "news": [
      {
        "title": "Middleware raises $6.5M in seed funding to transform cloud observability with AI | VentureBeat",
        "url": "https://venturebeat.com/business/middleware-raises-6-5m-to-simplify-cloud-monitoring-with-ai/",
        "date": "Aug 10, 2023"
      },
      {
        "title": "How observability has changed in recent years, and what's coming next | VentureBeat",
        "url": "https://venturebeat.com/data-infrastructure/how-observability-has-changed-in-recent-years-and-whats-coming-next/",
        "date": "Apr 03, 2023"
      },
      {
        "title": "Middleware Launches AI-powered observability platform for cloud native.",
        "url": "https://www.prnewswire.com/news-releases/middleware-launches-ai-powered-observability-platform-for-cloud-native-301740450.html",
        "date": "Feb 08, 2023"
      }
    ],
    "launches": [
      {
        "id": 91625,
        "title": "Ops AI by Middleware",
        "tagline": "Ops AI is an observability co-pilot that detects production issues across various sources, including APM traces, RUM, and logs. It then fixes these issues with a single click and generates a pull request in GitHub. ",
        "body": "I’m [Laduram](https://www.linkedin.com/in/laduramvishnoi/), founder and CEO of Middleware. \\\n**TL;DR** \\\nVery excited to introduce our latest launch: [Ops AI](https://middleware.io/product/ops-ai/) — your observability co-pilot that _not only detects_ issues in production, but actually _fixes_ them.\n\n![uploaded image](/media/?type=post&id=91625&key=user_uploads/1149383/7d2659aa-933b-4206-856a-f6107e930704)\n\nWith Ops AI, resolving production problems becomes as simple as clicking a button. When something breaks, you’ll get an alert. From there, just ask Ops AI for a fix — it analyzes the issue, identifies the affected code using GitHub’s MCP server, and automatically creates a pull request with the fix. No more digging through logs or guessing root causes.\n\nhttps://www.youtube.com/watch?v=29pzH-1_Dpc\n\n### Why Ops AI?\n\nMiddleware is a full-stack observability platform — we do infra monitoring, APM, Logs, RUM, Synthetic monitoring, and browser testing. That means we have complete context when something goes wrong and can resolve issues faster and smarter than traditional tools.\n\n# **🙏 Our Ask**\n\nTo celebrate our launch, we’re offering an exclusive **2 million free tokens** and [YC deal](https://bookface.ycombinator.com/deals/2598) to all the YC companies — just [sign up](https://app.middleware.io/auth/register?ga=enabled) and ask for the deal! Or [book a quick demo with me](https://cal.com/laduram/30min?user=laduram).\n\nWould love to hear what you think 💙",
        "url": "https://www.ycombinator.com/launches/Npp-ops-ai-by-middleware",
        "votes": 73,
        "created_at": "2025-06-25T15:14:51.809Z"
      },
      {
        "id": 68705,
        "title": "🚀 Middleware 📊 : A unified observability platform for cloud native, microservices and distributed apps",
        "tagline": "A real-time cloud-native observability platform to bring all metrics, logs, and traces in one unified timeline to debug issues faster.",
        "body": "Hey YC! 👋 \\\n\\\nI am super excited to launch [Middleware](https://middleware.io)—a **real-time observability platform** that brings all the **metrics, logs, traces, and events** into a single timeline so you can monitor your distributed apps and cloud native platforms in real time.\n\n![uploaded image](/media/?type=post&id=68705&key=user_uploads/1149383/7c01ff47-1f21-4647-9254-b2951dc8d1b8)\n\n### **Problem with existing legacy products**\n\nCurrent observability solutions are built to monitor monolith architectures, not distributed and microservices. This results in the following problems: \n\n* Surface-level information makes it **extremely hard to debug** issues. 🧐\n* Costs 💵 to monitor everything in the infrastructure and applications are **incredibly high**.\n* All the data live in separate apps like logs, metrics, traces, and events and can’t **correlate to causation**.\n\nBecause cloud native produces more data than ever, it’s become more challenging to understand what’s happening inside applications and infrastructure. Unfortunately, the result often **wastes engineering time** tracking incidents, creates alert fatigue, and, yes, costs a fortune.\n\n### **Why we founded Middleware**\n\nI faced this problem when building my last startup. While building out the backend, it was **challenging to monitor microservices and Kubernetes**, as there was no all-inclusive cloud monitoring tool available.\n\nMy few early engineers from **Splunk** and **Newrelic** faced this problem as well. After speaking to engineering and IT leaders at several other companies—and they were facing the same problem—we started to work on Middleware full-time.\n\n### **Our solution to cloud native observability**\n\nMiddleware is a **real-time observability platform** for cloud-native, microservices, and distributed apps that brings all the metrics, logs, traces, and events to a **single timeline**. This empowers **dev and ops teams** to find and debug issues faster. \n\n![uploaded image](/media/?type=post&id=68705&key=user_uploads/1149383/84b686ed-f3f2-4a40-9ad4-b4fec457d860)\n\nAdditionally, our **AI-powered algorithms** collect and analyze data from across your entire infrastructure to spot signs of potential problems before they even occur. \n\nMiddleware offers a wide range of observability from **infrastructure** monitoring, **logs** monitoring, application performance monitoring (**APM**), **synthetic** monitoring, **database** monitoring, and real-time **alerting** solution with cost-effective prices.\n\n### **What our customers say about us!**\n\nCliff from **Puresend** - \"_We migrated from Datadog to Middleware because we absolutely love their unified view. It's such a simple but incredibly useful tool. This, among other features, made it a no-brainer for us to migrate. We monitor our logs, metrics, and traces at a very affordable cost. I highly recommend Middleware as the best in class for cloud-native monitoring._\"\n\nEduardo from **Berliner Philharmoniker** - “The Digital Concert Hall only uses cutting-edge technology, and Middleware was able to provide that with its all-in-one monitoring solution and near real-time metrics.”\n\n### **Reinventing observability for the future 🔮**\n\nOur mission is to change how companies **observe infrastructure and applications** cost-effectively. Our tools provide everything you need to **remediate issues** faster while getting observability data growth under control. It provides real-time insight into your cloud-native infrastructure, applications, and business.\n\n* Vendor agnostic by using and contributing to **Open Telemetry**.\n* Store only the data that you need to save on **costs.** 💰\n* Correlate the traces from the **browser to the front end and back end** with logs and metrics.\n* Using **AI to predict** any anomaly and possible downtime.\n\n### **Our ask/ how to reach us with contact detail 🗓️**\n\n1. Try Middleware and give us feedback. We love to work with **YC companies**. [TRY AT LEAST FREE FOREVER PLAN!](https://app.middleware.io/auth/register)\n2. Tell us your use case; we love building solutions quickly. **Schedule 15 mins** to call me [here](https://calendly.com/middleware_io/15-min-quick-call).\n3. If you are paying too much for your Observability, we love to **cut costs by 2x to 3x.**",
        "url": "https://www.ycombinator.com/launches/Hs9-middleware-a-unified-observability-platform-for-cloud-native-microservices-and-distributed-apps",
        "votes": 217,
        "created_at": "2023-01-25T16:49:47.084Z"
      }
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  {
    "id": 27670,
    "name": "Finn",
    "slug": "finn",
    "former_names": [
      "Move",
      "Shyp",
      "Finvest"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9ac74ef17515332715cf66cdf6fe361837c44011.png",
    "website": "https://getfinn.us/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Finn is your personal wealth manager that knows your money, plans ahead, and gets things done.",
    "one_liner": "AI Wealth Manager",
    "team_size": 5,
    "industry": "Fintech",
    "subindustry": "Fintech -> Consumer Finance",
    "launched_at": 1678100153,
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    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Active",
    "industries": [
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      "Consumer Finance"
    ],
    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/finn",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/finn.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/getfinnnow/about/",
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    "primary_partner": {
      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
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    "founders": [
      {
        "user_id": 312220,
        "full_name": "Shivam Bharuka",
        "title": "Founder",
        "founder_bio": "Builder",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/shivambharuka/",
        "x_url": "https://twitter.com/shivambharuka",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3e688098b7c4e2860b8e5c5a9ec68b4a83f798fc.jpg"
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      {
        "id": 84571,
        "title": "Chief of Staff",
        "url": "https://www.ycombinator.com/companies/finn/jobs/Nfeg5mX-chief-of-staff",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$85K - $120K",
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        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": [
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    ],
    "news": [
      {
        "title": "Finvest app will have you invested in US Treasury Bills in minutes | TechCrunch",
        "url": "https://techcrunch.com/2024/01/31/finvest-app-treasury-bills-fintech/",
        "date": "Jan 31, 2024"
      }
    ],
    "launches": [
      {
        "id": 77435,
        "title": "Finvest: The easy way to buy US Treasury Bills",
        "tagline": "Buy Treasury Bills in a few clicks. Lock in up to 5.3% APY and pay no state taxes!",
        "body": "Hi Fintech nerds! This is Shivam - We are thrilled to introduce Finvest! 🎉\n\n**TL;DR:** Finvest is the easiest way to buy US Treasury Bills. Our mission is to enable everyone to grow their wealth in a stress-free way. You can **earn up to 5.3% APY** through Treasury Bills - an industry-leading rate to replace your savings account. Your interest is secured and locked-in even if the Fed lowers rates and **interest is exempt from state taxes, unlike your savings account**. Say goodbye to clunky platforms like TreasuryDirect and Fidelity 📉\n\nCheck out our website [**here**](https://www.getfinvest.com/) and download the app on the [**App Store**](https://apps.apple.com/us/app/finvest-invest-in-us-treasury/id6473599514) or [**Play Store.**](https://play.google.com/store/apps/details?id=com.bondgrid.bondgrid)\n\n[**Check our Product Demo Video**](https://www.youtube.com/watch?v=GfG73c2iRF4&t=2s)\n\n**Problem**\n\nInterest rates are at an all-time high since 2007. With interest rates at such unprecedented levels, we wanted to take advantage of the environment, but all the major banks gave us basically nothing on our cash. Chase only gives 0.01% interest on cash - it's a scam! With the high interest rates, you basically earn free money on idle cash through US Treasury Bills.\n\nBut there is no easy way to buy Treasury Bills today. You can buy them through the government website (Treasury Direct) - which is an experience from the 1990s or use the legacy brokerages like Fidelity, Charles Schwab. I would personally never use a Fidelity or Charles Schwab account - it’s non-transparent, opaque, and comes with a clunky user experience. Most modern fintech apps also don’t enable you to invest in underlying fixed income assets.\n\n**Why buy Treasury Bills?**\n\n🎉 Interest-rates are at all-time highs since 2007! In fact, the US Treasury Bill outperforms majority of US stocks\n\n🏝️ You pay no state or local taxes on interest earned on Treasury Bills. This is unlike your savings account. If you live in a high-tax state, this can make a HUGE difference!\n\n🔑 Locked-in rate: Your interest rate is locked in even if the Fed drops interest rates. Its a great time to invest in Treasury Bills because rates will drop soon!\n\n💰 Backed by the full faith of the US Government: Treasury Bills are one of the safest assets in the world\n\n![uploaded image](/media/?type=post&id=77435&key=user_uploads/312220/8b48aa44-adab-4aa2-b007-b1d9edba8511)\n\n**Solution**\n\nWe built a platform we wish we had - a simple way to invest in the fixed income assets like US Treasuries. We want to democratize access to the $130 Trillion fixed income market, which is 3x the size of the equity market.\n\nWe are launching with support for US Treasury Bills and plan to offer the entire set of fixed income products such as high-yield spend accounts, money-market funds, Treasury Notes and Bonds, Municipal Bonds, Certificates of Deposits, and International Bonds.\n\nWe want your idle cash to work for you, not the other way around. With interest rates this high, everyone should be able to grow their wealth in a stress-free way.\n\n![uploaded image](/media/?type=post&id=77435&key=user_uploads/312220/0c126c11-2185-4d6e-a41d-f85600d7f479)\n\n**How do you compare to alternatives?**\n\nIt is not even worth comparing with traditional banks such as Chase and Bank of America which offer less than 0.05% interest, make huge profit by investing our hard-earned money in Treasury Bills, and keeping the interest margin for themselves.\n\nHigh-yield cash account such as Robinhood Cash, Wealthfront, or Marcus give up to 5% interest which is still lower than what we would get by directly investing in Treasury Bills and **are not exempt from state taxes**. You can invest in money-market funds and bond ETFs - but these funds are exposed to short-term securities and their interest rate will fall once the Fed starts cutting rates.\n\nWith Treasury Bills, your interest rate is locked in when you hold them to maturity. So let’s say you buy a 12-month Treasury Bill today, your interest rate is locked in even if the Fed cuts rates. Moreover when you invest into US Treasuries directly, the interest you earn is exempt from any state or local taxes.\n\n![uploaded image](/media/?type=post&id=77435&key=user_uploads/312220/eab1a4b7-0508-43e7-9939-fbd9a8075b61)\n\n### \n\n**Is my money going to be locked in?**\n\nYou can sell your Treasury Bills anytime - it is one of the largest and most liquid financial markets in the world. You can withdraw money from your Finvest account anytime at no cost. :)\n\n### \n\n**How much do you charge?**\n\nUnlike other financial institutions, we want to be transparent about our fees. We charge a monthly fee of 0.03% on the average daily market value of your assets. So let’s say the average daily balance of the assets in your account is $1,000, we will charge you 30 cents per month. A single Starbucks latte costs $5 these days. Your net earnings on Finvest are still higher than your earnings on other investment platforms as shown in the table above.\n\n### \n\n**Is my money safe?**\n\nFinvest is a financial technology company, not a bank or an investment advisor. Finvest never directly holds your cash or investments. Your funds, investments, and Treasuries are securely held in custody and cleared through Pershing Advisor Solutions LLC, a subsidiary of the Bank of New York Mellon Corp.\n\nYour account is also covered by SIPC, which protects securities customers of its members up to $500,000 (including $250,000 for claims for cash). US Treasuries are considered to be one of the safest assets to park your cash since they are backed by the full faith and credit of the US government.\n\n**Ask**\n\n* Download the Finvest app and share your thoughts.\n* Show it to your friends and family!\n* Reach out at [**shivam@getfinvest.com**](mailto:shivam@getfinvest.com) if you would like to say hi!",
        "url": "https://www.ycombinator.com/launches/K8x-finvest-the-easy-way-to-buy-us-treasury-bills",
        "votes": 13,
        "created_at": "2024-01-11T18:00:06.713Z"
      }
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    "id": 27673,
    "name": "Reflex",
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    "website": "https://reflex.dev",
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    "long_description": "Reflex is the operating system for building mission-critical enterprise applications.\r\n\r\nToday’s enterprise stack is fragmented. Shipping an app requires stitching together multiple tools and coordinating across multiple roles. Reflex replaces that complexity with a single, unified platform to build, deploy, and manage production applications end-to-end.\r\n\r\nWe empower teams to own the entire lifecycle of their apps — from idea to production — without needing specialized infrastructure, DevOps, or platform teams. We do this by providing solid, reusable abstractions at both the framework and infrastructure layers. Because we own the underlying open-source framework and the platform it runs on, we can manage the full lifecycle of the application seamlessly.\r\n\r\nWith Reflex, teams securely connect to company data, use AI to build standardized applications on top of our open-source framework, and deploy with a single click to share across their organization.\r\n\r\nWe’re replacing the fragmented enterprise stack — and the organizational bottlenecks that come with it.\r\n\r\nFounded by Alek Petuskey and Nikhil Rao, Reflex has powered over 1 million applications, earned 28,000+ GitHub stars, and is used by 30% of Fortune 500 companies for internal tools and data-driven applications.",
    "one_liner": "The operating system for building mission-critical enterprise apps.",
    "team_size": 10,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1674447011,
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Active",
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/reflex",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/reflex.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/reflex-dev",
    "x_url": "https://twitter.com/getreflex",
    "fb_url": null,
    "cb_url": null,
    "github_url": "https://github.com/reflex-dev",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/677513c7f80f22199de3136c5024581799a126f2.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
    },
    "founders": [
      {
        "user_id": 1164088,
        "full_name": "Nikhil Rao",
        "title": "Founder",
        "founder_bio": "Building Reflex - a way to make web apps in pure Python.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/nrao95/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6d6d6d80493910dc4730348750093fa77d20924d.jpg"
      },
      {
        "user_id": 676253,
        "full_name": "Alek Petuskey",
        "title": "Founder",
        "founder_bio": "Cofounder @ Reflex",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/aleksanderpetuskey/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/53b72097f7f472d9ad35ff5a98a3d26ff81d5539.jpg"
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    "jobs": [
      {
        "id": 95191,
        "title": "Growth Lead",
        "url": "https://www.ycombinator.com/companies/reflex/jobs/KpOaIpx-growth-lead",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$150K - $200K",
        "equity_range": "0.35%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Python",
          "SQL",
          "LLMs"
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      {
        "id": 103944,
        "title": "Growth Engineer",
        "url": "https://www.ycombinator.com/companies/reflex/jobs/71x5GFb-growth-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$130K - $200K",
        "equity_range": "0.10% - 0.40%",
        "experience": "Any (new grads ok)",
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        "skills": [
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      {
        "id": 108783,
        "title": "Founding Sales Development Representative (SDR)",
        "url": "https://www.ycombinator.com/companies/reflex/jobs/0BmuKm6-founding-sales-development-representative-sdr",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$175 - $210K",
        "equity_range": "0.10%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
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    "news": [],
    "launches": [
      {
        "id": 94833,
        "title": "Reflex: AI app builder for creating production-grade web apps entirely in Python",
        "tagline": "Just connect your data and enter a prompt. Reflex generates production-ready apps that integrate any data source, API, or Python package.",
        "body": "[**Reflex**](https://www.linkedin.com/company/reflex-dev/) is an AI app builder for creating production-grade web apps entirely in Python, powered by its own open-source framework.\\\n\\\nPython is one of the most popular programming languages in the world, and web development is one of the most popular applications of programming. So why can’t we make full-stack web apps using just Python?\\\n\\\nWith Reflex, you just connect your data and enter a prompt. It generates production-ready apps that integrate any data source, API, or Python package.\\\n\\\nFounded by [**Nikhil Rao**](https://www.linkedin.com/in/nrao95/) and [**Alek Petuskey**](https://www.linkedin.com/in/aleksanderpetuskey/), Reflex has over 1 million apps created, 27k GitHub stars, and has been used by 30% of Fortune 500 companies for internal tools and data-driven applications.\\\n\\\nTry it at [**https://build.reflex.dev**](https://build.reflex.dev).\\\n\\\nhttps://www.youtube.com/watch?v=Hy3uhBVRdtk&feature=youtu.be",
        "url": "https://www.ycombinator.com/launches/OfZ-reflex-ai-app-builder-for-creating-production-grade-web-apps-entirely-in-python",
        "votes": 10,
        "created_at": "2025-10-22T18:11:26.021Z"
      },
      {
        "id": 68556,
        "title": "Pynecone: Web apps in pure Python 🐍",
        "tagline": "Build web apps in minutes. Deploy with a single command.",
        "body": "Hello! We’re Alek and Nikhil and we’re excited to launch [Pynecone](https://pynecone.io)!\n\n## **TL;DR:**\n\n**Pynecone is an open-source framework to build web apps in pure Python and deploy with a single command. This can be anything from a small data science/internal app to a large multi page web app.**\n\n![uploaded image](/media/?type=post&id=68556&key=user_uploads/1164088/65dd0f6c-0edd-4c0c-9f18-e4b78b06a443)\n\n[Here is an example](https://dalle.pynecone.app/) of a Dalle Pynecone App created in \\~50 lines of Python.\n\nYou can see how to install Pynecone and start building in minutes [here](https://pynecone.io/docs/getting-started/introduction).\n\n### **The Problem**\n\nPython is one of the most popular programming languages in the world. Webdev is one of the most popular applications of programming. So why can’t we make full-stack web apps using just Python?\n\nWe found that even skilled engineers who wanted to make a web app but didn’t know traditional frontend tools like Javascript / React found it too overwhelming and time consuming. And even after they made their app, deploying it was a nightmare. We wanted to provide them with a framework where they can leverage their existing Python skills to create and deploy apps, without compromising on flexibility or customization.\n\nRecent no code and low code alternatives have issues. No code solutions that save time in the development process lack the flexibility and robustness of traditional web development. Low code frameworks are often confusing and only solve part of the problem forcing you to use multiple tools to get the job done.\n\n# **Solution**\n\n## **1️⃣ Language For Your Web App**\n\nWith Pynecone we wanted to enable software engineers to build performant customizable web apps without the overhead of learning traditional webdev. You can make anything from a small data science project to a full-scale, multi page web app in Pynecone. We have over 60+ built-in components and are adding more.\n\n## **🔋Batteries-Included Hosting**\n\nOnce you have your app built, the next big challenge is deploying it. Learning to host on a cloud service can be confusing and time-consuming. On top of hosting your frontend/backend you need to learn how to configure and maintain SSL, CDNs, and monitoring/analytics.\n\nSince we specialize in hosting a single type of app, we can provide all of this out of the box with zero configuration. With a single `pc deploy` command we will automatically set up your infrastructure so you can get your ideas out faster. You can also host with your own cloud provider.\n\n## **🥞Empower Your Team**\n\nNow instead of having separate dedicated engineers for frontend, backend, and infra, every engineer can understand and work across the whole stack. This reduces communication overhead and lets your team go from idea to working product as efficiently as possible.\n\n## **💬 We’d love to talk to you:**\n\n* Do you or your team use Python and have any internal tools/customer facing web apps. We would love to chat to see if Pynecone can simplify your tech stack and provide value.\n* ⭐️ us on [GitHub](https://github.com/pynecone-io/pynecone) to keep up with releases and news.\n* Join [our Discord](https://discord.gg/T5WSbC2YtQ)!\n\n(A short video of a user reviewing Pynecone)\n\n<https://www.youtube.com/watch?v=47BL6WLZJ1g>",
        "url": "https://www.ycombinator.com/launches/Hpk-pynecone-web-apps-in-pure-python",
        "votes": 75,
        "created_at": "2023-01-19T21:01:27.254Z"
      }
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    "id": 27690,
    "name": "Credal.ai",
    "slug": "credal-ai",
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    "long_description": "Build, govern, and deploy enterprise AI agents and MCP servers \r\nPowered by your data, subject to enterprise controls",
    "one_liner": "The Control Plane for Enterprise Agents",
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    "subindustry": "B2B -> Productivity",
    "launched_at": 1669993072,
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    "linkedin_url": "https://www.linkedin.com/company/91502554/",
    "x_url": "https://twitter.com/credal_ai",
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      "url": "https://www.ycombinator.com/people/brad-flora"
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    "founders": [
      {
        "user_id": 1038471,
        "full_name": "Ravin Thambapillai",
        "title": "Founder",
        "founder_bio": "I hanker after an honorable Goddam skull. I worked at Google, TheHutGroup (now THG) at Series A, GoCardless at Series A, and most recently at Palantir for 7 years, where I led the building of significant parts of America's emergency-public-health infrastructure, including what Atlantic Magazine called \"America's most reliable Pandemic data.\"\n\nMy principles are listed here: https://docs.google.com/document/d/11-yFsiwOgYDUmHSWe8J0B2RU2a0JbO2yYUwqM2fjDbE",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ravin-thambapillai-77aa0a11/",
        "x_url": "https://twitter.com/ravin_tham",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/73231bf66d563b58e53bb5097e302dda57b8313a.jpg"
      },
      {
        "user_id": 1047303,
        "full_name": "Jack Fischer",
        "title": "Founder",
        "founder_bio": "Five years at Palantir in various technical capacities on projects ranging from airline reliability to defense computer vision. Palantir's US commercial hiring manager 2020-2022. \nWorked on several of the precursors to H1 (YC W20) and developed their early entity resolution algorithms.\nNow enabling secure AI!",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jackfischer11/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/30ac732fbe78f690991e5a10c38459b3adcba120.jpg"
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    "jobs": [
      {
        "id": 70840,
        "title": "Founding GTM - Deployment Strategist",
        "url": "https://www.ycombinator.com/companies/credal-ai/jobs/3OnqAVU-founding-gtm-deployment-strategist",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Operations",
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        "salary_range": "$120K - $150K",
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        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 81964,
        "title": "Founding Frontend/UX Software Engineer",
        "url": "https://www.ycombinator.com/companies/credal-ai/jobs/4hSv1Na-founding-frontend-ux-software-engineer",
        "location": "NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Frontend",
        "salary_range": "$190K - $250K",
        "equity_range": "0.20% - 0.90%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
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          "React Native",
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        "id": 99647,
        "title": "Founding Design Engineer",
        "url": "https://www.ycombinator.com/companies/credal-ai/jobs/8QpLF8h-founding-design-engineer",
        "location": "NY, US",
        "type": "Full-time",
        "role": "Design",
        "role_type": "UI / UX",
        "salary_range": "$170 - $230",
        "equity_range": "0.10% - 0.50%",
        "experience": "3+ years",
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        "id": 105583,
        "title": "Founding GTM Deployment Strategist",
        "url": "https://www.ycombinator.com/companies/credal-ai/jobs/JkwCCe6-founding-gtm-deployment-strategist",
        "location": "Credal HQ (Brooklyn, NY)",
        "type": "Full-time",
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        "role_type": null,
        "salary_range": "$120K - $150K",
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        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
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        "id": 105584,
        "title": "Forward Deployed Software Engineer",
        "url": "https://www.ycombinator.com/companies/credal-ai/jobs/UuUgcZc-forward-deployed-software-engineer",
        "location": "Credal HQ (Brooklyn, NY)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$140K - $220K",
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        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 105585,
        "title": "Customer Deployment Engineer",
        "url": "https://www.ycombinator.com/companies/credal-ai/jobs/d0PrRkz-customer-deployment-engineer",
        "location": "Credal HQ (Brooklyn, NY)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $160K",
        "equity_range": "0.07% - 0.30%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 105587,
        "title": "Business Development Representative",
        "url": "https://www.ycombinator.com/companies/credal-ai/jobs/88clofi-business-development-representative",
        "location": "Credal HQ (Brooklyn, NY)",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$90K - $120K",
        "equity_range": "0.05% - 0.20%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 114492,
        "title": "Software Engineer",
        "url": "https://www.ycombinator.com/companies/credal-ai/jobs/YYLdmmL-software-engineer",
        "location": "Credal HQ (Brooklyn, NY)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$190K - $250K",
        "equity_range": "0.20% - 0.90%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
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    ],
    "news": [
      {
        "title": "Credal aims to connect company data to LLMs 'securely' | TechCrunch",
        "url": "https://techcrunch.com/2023/10/26/credal-aims-to-connect-company-data-to-llms-securely/",
        "date": "Oct 26, 2023"
      }
    ],
    "launches": [
      {
        "id": 88742,
        "title": "Credal.ai: The Security-First Multi-Agent Collaboration Platform",
        "tagline": "The world's only multi-agent platform where Agents collaborate across your tools while respecting the data permissions in your systems",
        "body": "Ravin & Jack here from [Credal.ai](http://Credal.ai). Proud to announce the world’s only multi-agent platform in production at Enterprises that lets Agents collaborate across Enterprise systems like GSuite, Salesforce, and Slack while respecting the permissions of the end users across those tools. We’re in production at amazing Enterprise customers like Mongodb, Wise, Checkr, Lattice, and even at traditional Enterprises like Comcast, the US Federal Government (HHS), and the IFRS — and we’re now excited to bring it to the world.\\\n<https://youtu.be/hNhfq0vfei0>\n\n## The Problem\n\nAI can understand enterprise data and provide marginal productivity gains, but we know that “Chat with your data” doesn’t scale—especially in complex operations.\n\nGetting users to adopt AI for simple tasks, like improving email wording or summarizing meeting notes, is easy. But these small wins don’t fundamentally change how an organization operates. It’s no surprise that 74% of companies still struggle to achieve tangible value from generative AI in 2025; most companies remain stuck in the proof-of-concept phase.\n\nAI is not truly transformative at the enterprise level, and we at Credal want to change that. To solve for this problem, AI agents must integrate into enterprise operations—communicating with internal systems, other agents, and subject matter experts while ensuring security, governance, visibility, and ultimately real business impact.\n\n## 💡 Our Solution\n\n![uploaded image](/media/?type=post&id=88742&key=user_uploads/89898/75296e1a-0363-4079-9f82-0c5a9d786d1b)\n\nCredal enables enterprises to deploy secure, specialized AI Agents that collaborate to handle complex, multi-step workflows.\n\nEach Agent is designed by subject matter experts—your employees—for specific tasks like:\n\n* Researching a prospect and personalizing outreach\n* Conducting KYC and AML checks\n* Answering HR and IT helpdesk questions\n* Completing security and compliance questionnaires\n* Analyzing trends in revenue and churn and suggesting the next best action for Customer Success Managers or Account Executives.\n\nWhen a user or API call invokes an Agent, it can autonomously call other Agents for assistance, all while enforcing enterprise-grade governance, risk, and compliance (GRC) policies. This composability moves beyond single-agent AI, allowing for scalable, controllable, and secure AI adoption across complex workflows in the enterprise. AI can at last operate seamlessly across your systems while respecting permission boundaries.\n\n![uploaded image](/media/?type=post&id=88742&key=user_uploads/89898/2c33a821-eabf-402e-a866-a552b5ca4590)\n\n## How it Works\n\nEvery user request follows this pattern:\n\nThe request gets routed to a primary agent which decides whether to call any actions or other Agents based on:\n\n* The instructions you provide in the background prompt and feedback from previous interactions\n* The provided tools and agents, with their descriptions and associated RBAC settings\n* Access Controlled Data from Enterprise systems like Salesforce, Confluence, GDrive, Slack and Sharepoint.\n\nThe primary agent then:\n\n* Notifies the user of any actions it is calling\n* Parallelizes the submission of all relevant actions\n* Polls for responses\n* Notifies the user when responses come back\n\n## ⚙️ Use Cases\n\n✅ End-to-end Know Your Business (KYB) workflows:\n\n* Validate document authenticity\n* Cross-check business addresses\n* Detect politically exposed persons (PEPs)\n* Ensure company services comply with internal policies\n\n✅ Go-To-Market Automation\n\n* Deep research on prospects and target accounts\n* Identify intent signals and the right buyers\n* Automate personalized outreach and seller training\n* Suggest Next Best Actions and upsell opportunities\n\n✅ Security Questionnaires\n\n* Automate security and compliance questionnaire responses no matter what tool you have to upload your response in\n* Ensure regulatory alignment with minimal manual effort\n\n✅ HR & Performance Management\n\n* Draft and refine self-reviews\n* Validate manager reviews for consistency and bias\n\n…and much more, including vendor contract analysis, government agency rule-making, corporate standards setting, customer support automation, training across teams, and general-purpose “ask-anything” AI assistants.\n\n## Next Steps\n\nWith Credal, enterprises can finally operationalize AI at scale—securely, efficiently, and with full control.\n\nReady to power your business with intelligent AI Agents?\n\nLet’s talk. Contact us at [sales@credal.ai](mailto:sales@credal.ai) or book a demo at [credal.ai/get-started](http://credal.ai/get-started).",
        "url": "https://www.ycombinator.com/launches/N5K-credal-ai-the-security-first-multi-agent-collaboration-platform",
        "votes": 56,
        "created_at": "2025-03-18T14:24:46.451Z"
      },
      {
        "id": 70320,
        "title": "Credal: Control how AI uses your data",
        "tagline": "Credal protects your organization's sensitive data from AI that can surface it externally. Think Okta for AI.",
        "body": "Hi there! Ravin and Jack here from [Credal.ai](http://Credal.ai)\n\n**TL;dr:**\n\nCredal protects your sensitive data across all AI apps. We give everyone at your company access to the latest AI models via our secure Chat UI, integrated with your data, whilst management gets granular control over what data is shared with each provider.\n\n⚔️ **The Problem:**\n\nCEOs of every company from Microsoft to our YC W23 batchmates understand the massive productivity gains available through AI applications. But huge concerns exist over adopting these tools at the enterprise: what’s happening to our data once we hand it over to AI providers? The landscape of providers is already large and fast-growing. Many have terms of service that permit training general models on your data. As the usage of these tools explode, businesses risk losing control over what data has been shared with whom, when, and what technical and contractual safeguards are in place to protect that data from inadvertently ending up in the hands of competitors via an AI model’s training dataset.\n\n⚡ **Solution:**\n\nCredal is the gatekeeper for your data, ensuring that all data sent to AI is protected by 3 layers of security:\n\n1. Credal identifies sensitive data using our (self-hosted) detection models alongside your existing data classifications and lets you automatically redact, anonymize, block, or simply warn the user, if sensitive data is about to be sent over to a provider.\n2. For the major endpoints like chat or text completion, Credal allows you to seamlessly switch between providers: letting you take advantage of the latest models, or highest privacy models as they are released, without locking your company into a single vendor.\n3. Finally, Credal protects you with standardized Terms of Service and MSAs that ensure you have total control over your data. Credal links your audit logs to the specific provider associated with each request, allowing full transparency into both the technical and contractual safeguards that govern how any cut of data could be used.\n\nOur secure chat UI can automatically route your request to the best AI for your question (or you can specify manually)\n\n![uploaded image](/media/?type=post&id=70320&key=user_uploads/1038471/53a41cac-1a2c-4bc6-9441-cc87ed0ef0d3)\n\nWith granular audit logs on each request, per data source, including what was redacted:\n\n![uploaded image](/media/?type=post&id=70320&key=user_uploads/1038471/fb382a2e-54de-47ec-b03e-93cc332981a9)\n\n**Who needs this, and why did we build it?**\n\nOur current customers are security-conscious companies trying to use AI to get an edge in their operations and product. We noticed early on building AI applications that customers were really nervous about handing data over to AI models they didn’t fully understand. Many enterprises were turning ChatGPT off entirely, or banning its use on anything remotely sensitive. Today, our customers use Credal for a range of problems, from basic things like using ChatGPT for summarizing meeting notes, to using complicated combinations of AI (like Claude + GPT 4) to automatically structure company documents. Either way, Credal is giving our customers the confidence they need to use cutting-edge AI on sensitive data.\n\n**Meet the Team:**\n\n![uploaded image](/media/?type=post&id=70320&key=user_uploads/1038471/77898790-6a46-477b-8832-df0f5cecd528)\n\nJack and I met in 2019 when we co-led Palantir’s engagement with a multibillion-dollar Life Sciences conglomerate, steering it from an initial pilot to an enterprise deal so critical to their business that Palantir going bankrupt was mentioned as a risk on the customer’s S1 filing.\\\n\\\nI started my career at Google, and since then have been both in the trenches and leading teams at THG at Series A, GoCardless at Series A, and Palantir. Jack started his career at H1 (at pre-seed), before joining Palantir. We’ve both led highly acclaimed teams at Palantir: _Atlantic_ Magazine called the output of work I led for 18 months: “America’s most reliable pandemic data”\\[1\\] and the _Washington Post_ said of a team Jack led for a year: “With these systems aiding brave Ukrainian troops, the Russians probably cannot win”\\[2\\]\n\nWe’re bringing a wealth of expertise in handling the most sensitive data imaginable, into what we see as one of the central problems of our time: building trust in AI.\n\n**Interested?**\n\nIf you are an enterprise with sensitive data, but you want to be able to use that data with AI  - [grab time to chat with us](https://calendly.com/jack-fischer-credal/credal-ai-intro). Enterprises that sign up before Demo Day (April 5th) are eligible for 50% off!\\\n\\\nFootnotes:\n\n\\[1\\] <https://www.theatlantic.com/health/archive/2021/01/hhs-hospitalization-pandemic-data/617725/> (The article discusses whether the Biden administration would keep paying for the ‘vital system’ that HHS had procured under Trump. In case you’re wondering what happened, it did and even expanded the contract.\n\n\\[2\\] <https://www.washingtonpost.com/opinions/2022/12/19/palantir-algorithm-data-ukraine-war/>",
        "url": "https://www.ycombinator.com/launches/IIC-credal-control-how-ai-uses-your-data",
        "votes": 128,
        "created_at": "2023-03-15T20:22:38.701Z"
      }
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    "id": 27691,
    "name": "Magic Patterns",
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    "website": "https://www.magicpatterns.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Magic Patterns is an AI design tool used by 2,500+ product teams at companies like Vanta, Doordash, and Freedom Mortgage to iterate on product ideas, get user feedback, and deploy to a website.",
    "one_liner": "Go from idea to production with AI.",
    "team_size": 10,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1673915426,
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    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Active",
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    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/magic-patterns",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/magic-patterns.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/magicpatterns",
    "x_url": "https://twitter.com/magicpatterns",
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/102836faf8c777a7201bce15ad9d99bab17c4a16.png",
    "app_video_url": null,
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    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
    },
    "founders": [
      {
        "user_id": 1146847,
        "full_name": "Alex Danilowicz",
        "title": "Founder",
        "founder_bio": "Alex is a cofounder of Magic Patterns. Previously, he was the first employee at another YC startup. \n\nEntrepreneurship runs in the family: his grandpa founded a tortilleria in Tijuana, Mexico in the 1970s, which still exists to this day.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/alexanderdanilowicz/",
        "x_url": "https://twitter.com/alexdanilo99",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/daa89be2de2acbca2edd4dfaec689a67d91c55f3.jpg"
      },
      {
        "user_id": 1360756,
        "full_name": "Teddy Ni",
        "title": "Founder",
        "founder_bio": "Teddy is a cofounder of Magic Patterns. Prior to Magic Patterns, Teddy worked at Canopy (YC W19) as an early employee and Robinhood pre-IPO. At both companies, Teddy worked closely with design to build beautiful interfaces.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/teddy-ni/",
        "x_url": "https://twitter.com/Teddarific",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/806caf02c4aa7ff9e6c9d10647fa553cd5cb8ad2.jpg"
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    ],
    "jobs": [
      {
        "id": 84259,
        "title": "Member of Technical Staff",
        "url": "https://www.ycombinator.com/companies/magic-patterns/jobs/GEK5XLt-member-of-technical-staff",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 84260,
        "title": "Account Executive - Enterprise",
        "url": "https://www.ycombinator.com/companies/magic-patterns/jobs/ikafDBd-account-executive-enterprise",
        "location": "United States",
        "type": "Full-time",
        "role": "Operations",
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      {
        "id": 84261,
        "title": "Technical Account Manager - Enterprise",
        "url": "https://www.ycombinator.com/companies/magic-patterns/jobs/XxZVkQx-technical-account-manager-enterprise",
        "location": "United States",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 84262,
        "title": "Head of Community / Product Evangelist",
        "url": "https://www.ycombinator.com/companies/magic-patterns/jobs/Vhzz4lm-head-of-community-product-evangelist",
        "location": "United States",
        "type": "Full-time",
        "role": "Support",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 84263,
        "title": "Head of Growth",
        "url": "https://www.ycombinator.com/companies/magic-patterns/jobs/BePhlH4-head-of-growth",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "",
        "visa": "US citizen/visa only",
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    ],
    "news": [
      {
        "title": "Magic Patterns: The AI Design Tool for Product Teams",
        "url": "https://www.youtube.com/watch?v=-moAmKQk72A",
        "date": "Nov 12, 2025"
      },
      {
        "title": "Series A and Magic Patterns 2.0",
        "url": "https://www.magicpatterns.com/blog/series-a-and-magic-patterns-2-0",
        "date": "Nov 11, 2025"
      }
    ],
    "launches": [
      {
        "id": 78644,
        "title": "Magic Patterns - Prototype your Product Ideas with AI",
        "tagline": "Get design inspiration and generate React code from a simple text prompt.",
        "body": "**tldr;** [Magic Patterns](https://www.magicpatterns.com/) helps software teams prototype their product ideas.\n\n50,000+ developers and designers have used our beta so far and revenue is growing fast 📈. [**Start building today**](https://www.magicpatterns.com/)**.**\n\n### DEMO VIDEO\n\n[Demo Video - Generate UI](https://youtu.be/_LRBQjy4Z1g)\n\n### PROBLEM\n\n1. Getting design inspiration is hard — most people today use websites like Mobbin and Dribbble, but these tools don’t know what your specific product looks like. You need inspiration that actually looks like what you’re building.\n2. AI code assistants are not visual, but building UI is.\n\n### SOLUTION\n\nStart prompting in our visual editor. You can choose a publicly available design system for free.\n\nWe use AI models to help non-technical founders, engineers, and PMs speed up time to market.\n\n![uploaded image](/media/?type=post&id=78644&key=user_uploads/1146847/e5b9e2ee-f4bb-433d-8c37-4d96f7a0de39)\n\n### TRACTION\n\nTake our existing [customers](https://www.magicpatterns.com/customers):\n\n* [Designers](https://www.magicpatterns.com/teams/designers) use Magic Patterns to brainstorm and export to Figma\n* [Founders](https://www.magicpatterns.com/teams/startups) use Magic Patterns to generate production-ready code\n* [Product managers](https://www.magicpatterns.com/teams/product) use Magic Patterns to visually communicate their ideas\n\n### FOUNDERS\n\nWe’re [Alex](https://www.linkedin.com/in/alexanderdanilowicz/) and [Teddy](https://www.linkedin.com/in/teddy-ni/), two technical founders who have been building products for 10 years together. Here’s us on Alex’s wedding day, where Teddy gave the best man speech about being a “work husband.” (Alex’s wife found it very funny.)\n\n![uploaded image](/media/?type=post&id=78644&key=user_uploads/1146847/499dabe2-5fe3-40dd-8c7e-9e2b99535e34)\n\n### OUR ASK 👋\n\n1. Try us for free: [www.magicpatterns.com](http://www.magicpatterns.com)\n2. Want to ship faster? [Upgrade](https://www.magicpatterns.com/pricing) for higher messaging limits. You’ll join a community of startups and enterprises that are using Magic Patterns today.\n3. API access? Team discounts? [We have those too](https://www.magicpatterns.com/pricing). Chat with sales (a.k.a us – the founders!): [alex@magicpatterns.com](mailto:alex@magicpatterns.com)",
        "url": "https://www.ycombinator.com/launches/KSS-magic-patterns-prototype-your-product-ideas-with-ai",
        "votes": 39,
        "created_at": "2024-02-22T16:18:00.129Z"
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  {
    "id": 27692,
    "name": "Rollstack",
    "slug": "rollstack-2",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/65e417fdebdce3308c883861f6f1ce40282921ab.png",
    "website": "https://www.rollstack.com",
    "all_locations": "New York City, NY, USA; Remote",
    "long_description": "At Rollstack, we are revolutionizing the way businesses share and communicate data and insights. Organizations worldwide rely on slide decks and documents to make informed decisions, whether for leadership, clients, or partners. Yet, preparing these materials often consumes countless hours. Rollstack fully automates that.\r\n\r\nWe help some of the world's leading organizations—from mid-sized to public companies like SoFi, Zillow and Whirlpool—in automating their slide decks and documents. Headquartered in New York, we offer a remote-friendly workplace and are backed by Insight Partners and Y Combinator, the most successful startup incubator in the world that produced the likes of Airbnb, Twitch, Instacart, Dropbox, Reddit, Doordash, Stripe, Coinbase, etc.\r\n\r\nOur team operates with speed and focus to deliver outsized impacts for our customers. We approach every challenge with first principles, never assuming things have to be done a certain way. We are a diverse team that believes intelligence and kindness go hand in hand, welcoming individuals from all backgrounds. Our persistence and rapid execution define us as a category leader and a future generational company.",
    "one_liner": "Automate data-driven slide decks and documents with AI",
    "team_size": 30,
    "industry": "B2B",
    "subindustry": "B2B -> Analytics",
    "launched_at": 1664774205,
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    "app_answers": null,
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    "year_founded": 2023,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/rollstack",
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      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
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    "founders": [
      {
        "user_id": 946616,
        "full_name": "Nabil Jallouli",
        "title": "Founder/CEO",
        "founder_bio": "Automating PowerPoints and Documents.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/nabiljallouli/",
        "x_url": "https://twitter.com/nabs_jallouli",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7fc9f6bfcd05b04bec7f2d0eef2d3aad9790a563.jpg"
      },
      {
        "user_id": 1014460,
        "full_name": "Younes Jallouli",
        "title": "Founder/CPO",
        "founder_bio": "Building Rollstack, the last mile of the modern data stack. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/younesjallouli/",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1d8e6738cce26698f33b2b0425ed5deee1ddcc67.jpg"
      }
    ],
    "jobs": [
      {
        "id": 65525,
        "title": "Software Engineer (TypeScript) - UK & Portugal",
        "url": "https://www.ycombinator.com/companies/rollstack-2/jobs/8gY5JtV-software-engineer-typescript-uk-portugal",
        "location": "PT / GB / Remote (PT; GB)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "€60K - €120K EUR",
        "equity_range": "0.05% - 0.20%",
        "experience": "1+ years",
        "visa": "US citizenship/visa not required",
        "skills": [
          "Node.js",
          "React",
          "TypeScript"
        ]
      },
      {
        "id": 88426,
        "title": "Software Engineer (TypeScript) - Eastern US/ Eastern Canada",
        "url": "https://www.ycombinator.com/companies/rollstack-2/jobs/TzIAxqj-software-engineer-typescript-eastern-us-eastern-canada",
        "location": "SC, US / GA, US / VT, US / DE, US / RI, US / IN, US / NJ, US / CT, US / ME, US / FL, US / NH, US / MA, US / VA, US / WV, US / MI, US / PA, US / MD, US / NC, US / CA / Remote (SC, US; GA, US; VT, US; DE, US; RI, US; IN, US; NJ, US; CT, US; ME, US; FL, US; NH, US; MA, US; VA, US; WV, US; MI, US; PA, US; MD, US; NC, US; CA)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$140K - $240K",
        "equity_range": "0.05% - 0.20%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Node.js",
          "React",
          "TypeScript"
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      },
      {
        "id": 90999,
        "title": "Business Development Representative",
        "url": "https://www.ycombinator.com/companies/rollstack-2/jobs/CLefCMg-business-development-representative",
        "location": "Seattle, WA, US / Remote (Seattle, WA, US)",
        "type": "Full-time",
        "role": "Sales",
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        "full_name": "Brek Goin",
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        "id": 69825,
        "title": "Hammr — Rippling for the construction industry 🔨",
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        "body": "**TLDR: Contractors use Hammr for time tracking, payroll, benefits and compliance — in one place. Our customers save up to 10 hours of busy work per week by ditching multiple systems and spreadsheets and streamlining their workflow on our platform.**\n\n\\\nHey YC! We’re Brek and Sanket, co-founders of Hammr.\n\n![uploaded image](/media/?type=post&id=69825&key=user_uploads/379301/327bced9-c820-4195-a1ab-59ec82a2546f)\n\n### **🏆 Why us**\n\nBrek has built one of the largest construction media outlets and generated 500 million organic impressions via our social media accounts in 2022. Sanket was a founding engineer at Superhuman and has built software used by millions of users at MyFitnessPal. As a team, we have the unique combination of domain expertise, distribution and engineering to build this company and modernize workforce management for the construction industry.\n\n### **💡How it started**\n\nBefore YC, we were building a labor marketplace. Based on customer feedback, we pivoted, and landed our first 5 paying customers based on Figma mockups. \n\n### **🏗 How it’s going**\n\nDuring YC, we’ve built…\n\n1. **Time Tracking** — which has replaced paper time cards or generic time tracking apps for our customers\n2. **Payroll** — which has replaced generic payroll providers (QuickBooks, ADP, and Gusto)\n3. **Job Costing** — which has replaced our customers’ workflow of manually plugging project and hours data into spreadsheets\n\n![uploaded image](/media/?type=post&id=69825&key=user_uploads/379301/c72f491f-f084-484f-9ae7-1fa5eda1eb08)\n\n### \n\n### **🤬 Problem**\n\nContractors are not experts in running a business. They’re masters of their craft. They enjoy spending most of their time in the field with their crew and bidding on new projects. But today they spend 10+ hours every week in busy work just to keep the business running.\n\nThe root cause is tradition back office software is designed for a broad range of industries and contractors are tired of using point solutions with a mix of paper and spreadsheets to manage their workforce.\n\nThese point solutions include…\n\n👨🏻‍🏫 Payroll systems such as ADP or Quickbooks designed for a broad range of industries \n\n💬 Text messages for scheduling and reporting\n\n📊 Spreadsheets for job costing\n\n⏳ Generic time tracking apps\n\n### \n\n### **🔨 Solution**\n\nHammr is an all-in-one platform purpose-built for construction. We deeply understand the perspectives of field workers who build, foremen who manage the field, and business owners and admin staff who run the back-office.\n\nWe’ve combined the simplicity of consumer products into the flexibility and robustness of business software, and created a solution that’s native to how construction companies operate.\n\n![uploaded image](/media/?type=post&id=69825&key=user_uploads/379301/812fbc44-844d-4319-accf-525b2e179af8)\n\n\\\nOur platform seamlessly combines…\n\n🕦 **Time Tracking**: Accurately track time and attendance for the entire workforce with compliant overtime calculations\n\n💰 **Payroll**: Calculate payroll automatically for both W2s and 1099 workers and ensure compliance with labor laws and regulations\n\n📈 **Job Costing**: Real-time fully-burdened labor cost per job helps owners make decisions to drive productivity and profitability\n\n👥 **HR Management**: Manage employee records, benefits, and compliance all in one place\n\n\\\nWe’re on a mission to help contractors spend less time on admin work, so they can focus on growing their business and investing into their biggest asset — their people.\n\n### **🙏🏼 Our Asks**\n\n📣 **Sharing**: Please share this announcement with your network and follow us on [LinkedIn](https://www.linkedin.com/company/hammr/)!\\\n👥 **Referrals**: If you know anyone in the construction industry who could benefit from Hammr, please connect us.",
        "url": "https://www.ycombinator.com/launches/IAD-hammr-rippling-for-the-construction-industry",
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        "created_at": "2023-03-01T18:38:33.176Z"
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        "id": 88416,
        "title": "Nango: Embed 600+ integrations from 400+ APIs in your SaaS",
        "tagline": " The most comprehensive product integrations platform.",
        "body": "\n![uploaded image](/media/?type=post&id=88416&key=user_uploads/4587/c5bd7650-0750-4fc1-92cc-14148ceb7cbe)\n\n([API catalog](https://www.nango.dev/api-integrations) / [Docs](https://docs.nango.dev/) / [Repo](https://github.com/NangoHQ/nango) / [Try it](https://app.nango.dev))\n\nTwo years ago, we launched Nango as an [open-source OAuth handler](https://news.ycombinator.com/item?id=34693233) that simplified authorization for 40 APIs. Since then, we’ve expanded to become a full product integration platform for developers. We now support 400+ APIs, 600+ pre-built integrations, and custom integrations-as-code.\n\nDemo video: <https://www.youtube.com/watch?v=oTpWlmnv7dM>\n\nEach API in our catalog comes with auth handling (OAuth, API keys, etc.), two-way syncing, retries, rate limit management, pagination, webhooks, observability, etc.\n\nWe also have pre-built integrations for common use cases like fetching HubSpot contacts, creating GitHub issues, syncing Salesforce data, and hundreds more.\n\nIf an API or integration you need isn’t supported yet, you can implement it yourself on Nango (or ask us to prioritize it).\n\nEverything related to API authorization is free forever, and you can either self-host or use our cloud version.\n\n([API catalog](https://www.nango.dev/api-integrations) / [Docs](https://docs.nango.dev/) / [Repo](https://github.com/NangoHQ/nango) / [Try it](https://app.nango.dev))",
        "url": "https://www.ycombinator.com/launches/N04-nango-embed-600-integrations-from-400-apis-in-your-saas",
        "votes": 10,
        "created_at": "2025-03-11T14:52:52.000Z"
      },
      {
        "id": 70266,
        "title": "🔌 Nango: Get OAuth tokens for APIs. Fast & secure.",
        "tagline": "Pre-built OAuth flows & secure token management for 55+ APIs (and counting)",
        "body": "![uploaded image](/media/?type=post&id=70266&key=user_uploads/4364/21c7fde9-a308-4c66-9cde-8eacfc4ce237)\n\n## TL;DR\n\nPre-built OAuth flows & secure token management for 55+ APIs (and counting). 100% open source.\n\n## The problem: OAuth sucks.\n\n[OAuth is harder than it seems](https://www.nango.dev/blog/why-is-oauth-still-hard):\n\n* Every API has specific quirks & nuances - forcing you to read endless docs pages\n* OAuth libraries don’t solve redirects, adding callback endpoints, token storage, refresh logic etc.\n* When something goes wrong debugging is hard: Unspecific errors, non-compliant behaviours, missing details and a million possible root causes\n\nOn top of this, SOC 2 compliance & GDPR make storing plain-text tokens in your DB no longer a viable option.\n\n## The solution: Nango makes OAuth fast & secure.\n\nNango is a service that contains everything you need to work with APIs that use OAuth:\n\n* A full OAuth dance for 55+ APIs - no backend work needed\n* A tiny frontend SDK, with promises instead of confusing full-page redirects\n* Secure token storage, with automatic refresh as needed\n* Works with any API, programming language & framework\n\nIn your frontend easily trigger an OAuth flow with 1 line of code (full desktop & mobile support):\n\n```jsx\nnango.auth('salesforce', '<user-id>'); // Opens a modal for OAuth dance\n```\n\nThen get always fresh access tokens in your backend:\n\n```jsx\nlet accessToken = nango.getToken('salesforce', '<user-id>'); // Refreshed & ready\n```\n\nThat’s it.\n\n## Trusted in production, by startups and established companies\n\nNango is used in production by companies like Typeform, Crowd.dev, AppraisalInbox, Trigger.dev (YC W23), Blocktool (YC W23) and others.\n\n## Try it in 5 minutes\n\nNango is easy to try on your local machine (open source) or with our cloud option:\n\n* Try it on your local machine: <https://github.com/NangoHQ/nango>\n* Get started with [Nango Cloud](https://www.nango.dev)",
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        "votes": 56,
        "created_at": "2023-03-14T15:02:02.167Z"
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        "body": "TLDR: Numeral automates sales tax compliance for ecommerce stores. We do everything from registration to remittance.\n\n### **Problem**:\n\nIn 2018, the [Supreme Court ruled](https://en.wikipedia.org/wiki/South_Dakota_v._Wayfair,_Inc.) that states can require out-of-state merchants to charge sales tax.\n\nThis means Shopify stores are now required to register with up to 47 state agencies and potentially submit 47 monthly filings.\n\nAdditionally, there are over 13,000 local jurisdictions, each with their own complex set of rules and rates.\n\nIn Iowa, for example, Snickers bars are taxed, while Twix bars are tax-exempt because they contain flour. 🙄\n\nThe current solutions are confusing, self-serve products that offer little to no service.\n\n### **Solution:**\n\nNumeral automates the entire process for ecommerce sellers. Just connect your Shopify, Amazon, or other store and we handle the rest.\n\n* Registration: We can register companies in all 47 sales tax charging states.\n* Monitoring: We monitor for sales tax rate changes and automatically adjust your tax settings.\n* Filing: Lastly, we submit tax returns & payments on your behalf.\n\n![](https://lh5.googleusercontent.com/xkilm56kCWPHeUyHBIY4a-dsuiEyZgxaIoWV0bcsxo-WXl3fZxZ2qWf5D3I6xy0at4xZ8gvmkxmM245gEWXLIil-WFtvKERRMZmy22bsNB4A95owzOuA7mY1MC3FwQLB9A1gRsqPiG9o85HRpybvCaI)\n\n### **Why us?**\n\n**Kevin** - Kevin is a licensed CPA in the state of California. After working in Big 4 Accounting, Kevin went on to start multiple ecommerce businesses. Kevin and Sam co-own a Shopify brand that does $10M+ in annual revenue.\n\n**Sam** - Sam ran his own bootstrapped e-commerce studio that generated over $50M in revenue over the last 4 years. He previously worked in growth & product roles at Airbnb (W09) and Teespring (W13).\n\n### **Want to learn more?**\n\nIf you know any Shopify or ecommerce owners in general, we’d love to help get them compliant.\n\nSignup or book a demo here: <https://www.numeralhq.com/>",
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        "title": "Pair AI - Monetize your knowledge in a scalable way",
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        "body": "### **TL;DR:**\n\n[**Pair**](https://www.pairai.com/) **is the first truly mobile education platform.** We make learning as fun and engaging as watching a TikTok by enabling any creator to launch premium white-label mobile courses. As successful 7-figure course entrepreneurs ourselves, we have reimagined the course platform experience for the next generation of creators with best-in-class gamification tools and proprietary AI to maximize each student's learning. \n\n**⭐️ The Team:**\n\n![uploaded image](/media/?type=post&id=69766&key=user_uploads/1052399/03a2e5b1-eace-4b12-beff-4c2c8c8fb1d4)\n\n[**Parth Detroja**](https://www.linkedin.com/in/parthdetroja/) **(CEO)** is the global bestselling author of [Swipe to Unlock](https://www.amazon.com/Swipe-Unlock-Technology-Business-Strategy/dp/1976182190) and has launched multiple 7 figure courses. He spent the last 4 years as a Product Manager at Facebook where he patented half a dozen AI technologies. He graduated Summa Cum Laude from Cornell University.\n\n[**Jason Goodison**](https://www.linkedin.com/in/jasonlevigoodison/) **(CTO)** is a Software Engineer and [Tech YouTuber](https://www.youtube.com/@JasonGoodison) with 138k subscribers. Before YC, he worked at Microsoft for 3 years and graduated with distinction from the University of Waterloo.\n\n### **❌ The Problem**\n\n**The average completion rate for online courses is below 9%** because they are not designed for our short attention spans. Oftentimes courses are 20+ hours of content, but only contain 1-2 hours of actionable insights. Students don't want to consume long-winded lectures.\n\n**Today’s generation wants to learn from their favorite creators!** We asked over a hundred top creators what was holding them back from creating a course. The top cited reasons were:\n\n1. The time commitment required to script and film a traditional video course\n2. Not knowing where to start and how to effectively monetize a course\n3. Worries about piracy of video-on-demand courses\n4. Not being able to coach each student to the extent they’d like because their time doesn’t scale\n\n \n\nCourses allow creators massive monetization potential without dependence on advertisers; however, **many of the best creators are deterred from selling information products altogether because no platform today fits their needs.**\n\n## **✨ Our Solution**\n\n[**Pair**](https://www.pairai.com/) **is the first mobile video course platform built by creators, for creators.** We are removing all the barriers holding creators back from launching information products.\n\n**Our platform is specifically designed for structured learning through shorter**\\-**form video** with our average video length being about 5 minutes. We pride ourselves on offering more actionable insights through 2 hours of total video than traditional courses provide in 20 hours. Not only is this a much better experience for students, but it also lowers the burden on creators to launch their courses. \n\n![uploaded image](/media/?type=post&id=69766&key=user_uploads/1052399/1dddeb6d-e65d-4066-9654-71ce177db429)\n\n**Unlike other platforms, we only make money when our creators make money.** Creators keep a generous 90% of sales and we take 10%. With this alignment of incentives, our product roadmap prioritizes helping course creators maximize their long-term revenue above all else. Our out-of-box white label solution optimizes specifically for course sales and helps any creator seamlessly launch their course and craft a world-class sales funnel. We have handcrafted this experience after spending the last 4 years launching multiple 7 figure courses ourselves.  \n\n**Our platform also allows any creator or educator access to powerful engagement tools like streaks, badges, and leaderboards** to create daily habit and build a lucrative and retentive content business. These tools were previously reserved for unicorn companies like Duolingo, Calm, and Headspace with large in-house engineering teams until we decided to democratize them 🙂\n\n**Pair also offers robust tooling to prevent ripping of your content** and to actively search for and file takedown requests on the off chance piracy does occur. As course creators ourselves, we know firsthand how terrifying piracy is. A ripped copy of your course getting SEO’d to Google could cut your sales in half or worse overnight. Astonishingly, not a single course platform today offers even the most basic anti-piracy solutions—until now.\n\nAnd last but not least, **Pair offers best-in-class AI assistance to help you provide 1:1 coaching and personalized learning assistance to your students at scale.** We do this by ingesting a creator's entire back-catalog of content to craft a chatbot that is fine-tuned to sound exactly like them. Creators can also use this chat experience to deliver push notifications and live content updates to students to support their learning process!\n\n![uploaded image](/media/?type=post&id=69766&key=user_uploads/1052399/09f2a0b0-ad6e-40d5-bb6c-a55baa60ffe8)\n\n### **🙏 Ask**\n\n**If there’s someone in your network with a large audience who is looking to launch a course,** [**please introduce us.**](https://team@pairai.com)",
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        "votes": 1248,
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        "date": "Sep 11, 2023"
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      {
        "title": "Glass Health is building an AI for suggesting medical diagnoses | TechCrunch",
        "url": "https://techcrunch.com/2023/09/08/glass-health-is-building-an-ai-for-suggesting-medical-diagnoses/",
        "date": "Sep 08, 2023"
      },
      {
        "title": "Glass Health Raises Investment from Breyer Capital and Y Combinator for a New Generation of Clinical Software",
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        "id": 69950,
        "title": "Glass AI 2.0 Demo - \"ChatGPT for Doctors\"",
        "tagline": "We empower doctors with our platform for AI-assisted diagnosis and clinical-decision making.",
        "body": "**Glass AI 2.0** 🩺 **🦾**\n\nIn January, [Glass Health](https://glass.health) launched a new feature called Glass AI, which uses an LLM to generate a medical diagnosis or clinical plan from a patient summary. The launch of Glass AI led to >50K AI queries and more than 5K sign-ups for the Glass Health platform.\n\nWe used the feedback from those queries to create an entirely new clinical layer for Glass AI. In this new video [demo,](https://twitter.com/GlassHealthHQ/status/1631001866564927488?s=20) our AI creates a clinical plan for a patient with heart failure. Glass AI 2.0 has been created by a team of 20 physicians and outputs state-of-the-art clinical plans with up-to-date and accurate medical references.\n\n![uploaded image](/media/?type=post&id=69950&key=user_uploads/76099/27c5a00b-4805-4ede-8353-ff8a89cb6feb)\n\n**About Us**\n\n[Dereck Paul](https://www.ycombinator.com/companies/glass-health) is a physician who trained at the UCSF School of Medicine and Brigham and Women’s Hospital, Harvard Medical School. During his clinical training, he encountered the archaic software doctors use to practice medicine and became passionate about providing clinicians with a new generation of software. \n\n[Graham Ramsey](https://www.ycombinator.com/companies/glass-health) was an early engineer and product manager at Modern Fertility and built a telemedicine EHR at Plushcare, where he became passionate about building for clinicians.\n\nDuring the COVID-19 pandemic, we founded Glass Health because of our shared belief that technology should be fully leveraged to optimize the practice of medicine and improve patient outcomes. Please contact us at [founders@glass.health](mailto:founders@glass.health) to learn more about our mission or our Demo Day.\n\nIf you’re a clinician, we’d love to have you try our platform. Please sign up for the Glass AI 2.0 waitlist [here](https://docs.google.com/forms/d/e/1FAIpQLSdCdTtVQiufki0qZqDUiQRZ8TuVbjp9j0GwM5gk75jjBY_o-g/viewform).\n\nFollow us on Twitter at [@GlassHealthHQ](https://twitter.com/GlassHealthHQ) for more updates.",
        "url": "https://www.ycombinator.com/launches/ICE-glass-ai-2-0-demo-chatgpt-for-doctors",
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        "created_at": "2024-01-09T21:40:10.162Z"
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        "tagline": "We empower doctors with our platform for AI-assisted diagnosis and clinical decision-making.",
        "body": "**Glass AI** 🩺\n\nPhysicians spend 2x more time with the computer than they do with patients. Generative AI has the potential to assist doctors with their work, but base LLMs (e.g. ChatGPT) cannot be used in the clinical environment. Base LLMs can output incorrect and outdated treatment plans. \\\n\\\nWe combine a base LLM with a proprietary clinical knowledge database and human (physician) reinforcement training to help doctors diagnose patients and generate accurate clinical plans in seconds. \n\n![uploaded image](/media/?type=post&id=70581&key=user_uploads/76099/68c8b1d6-25ad-4fc3-a4e5-1aaaf32d5958)\n\n**About Us**\n\n[Dereck Paul, MD](https://www.ycombinator.com/companies/glass-health) is a physician who trained at the UCSF School of Medicine and Brigham and Women’s Hospital, Harvard Medical School. During his clinical training, he encountered the archaic software doctors use to practice medicine and became passionate about providing clinicians with a new generation of software. \n\n[Graham Ramsey](https://www.ycombinator.com/companies/glass-health) was an early engineer and product manager at Modern Fertility and built a telemedicine EHR at Plushcare, where he became passionate about building for clinicians.\n\nDuring the COVID-19 pandemic, we founded Glass Health because of our shared belief that technology should be fully leveraged to optimize the practice of medicine and improve patient outcomes. Please contact us at [founders@glass.health](mailto:founders@glass.health) to learn more about our mission or our Demo Day raise.\n\nIf you’re a clinician, we’d love to have you try our platform. Please sign up for the Glass [here](https://docs.google.com/forms/d/e/1FAIpQLSdCdTtVQiufki0qZqDUiQRZ8TuVbjp9j0GwM5gk75jjBY_o-g/viewform).\n\nFollow us on Twitter at[@GlassHealthHQ](https://twitter.com/GlassHealthHQ) for more updates.",
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        "created_at": "2023-03-28T14:36:11.359Z"
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        "id": 68710,
        "title": "Glass Health — Frictionless software for learning and practicing medicine 🩺",
        "tagline": "Glass is an AI-powered platform for medical knowledge management and clinical decision making that helps clinicians provide better patient care.",
        "body": "![uploaded image](/media/?type=post&id=68710&key=user_uploads/76099/471cfb16-bd60-47be-8b49-b60d0faa66a6)\n\n**🤔 PROBLEM**\n\nWe saw physicians struggling to manage an ever-expanding world of complex clinical information from heterogeneous sources. We also experienced this problem first-hand in the clinical environment. Our friends in medicine had phones and email accounts full of disorganized journal articles, tweets, clinical images, lecture slides. They could not easily reference these important digital assets when needed to enhance their care of patients.\n\n**🩺 SOLUTION**\n\nGlass is a medical knowledge management platform, aka “Notion for doctors.” Our platform is tailored to how clinicians capture, organize, store, and retrieve medical knowledge.\n\nWe’ve created medicine-specific knowledge management features, including:\n\n* Schemas, Scripts, and Cases: store content in special page templates tailored to common medical knowledge constructs.\n* Pearls: capture snippets of clinical knowledge encountered during patient care and later organize them in your notebook.\n* Linking and Visualizations: easily backlink pages and later view their relationships with medicine-specific visualizations.\n* Community Library: view and save pages published by others in the Glass Health Community.\n* Glass AI: draft differential diagnoses and clinical plans using generative AI. ([Glass AI Demo](https://glass.health/ai))\n* Team Collaboration (coming soon): track key information about patients in a HIPAA-compliant team collaboration environment.\n\n![uploaded image](/media/?type=post&id=68710&key=user_uploads/76099/ba37b973-9395-4320-b3dd-9771299ce305)\n\nThese features help clinicians bring all medical knowledge assets they encounter throughout their careers into one place. This helps them achieve clinical mastery faster and leverage their ever-growing digital external brains to better care for patients.\n\n**📖 FOUNDER BACKGROUNDS**\n\n[Dereck Paul, MD](https://twitter.com/dereckwpaul) was a resident physician in internal medicine at Brigham and Women’s Hospital, Harvard Medical School, and a medical student at the UCSF School of Medicine.\n\n[Graham Ramsey](https://www.linkedin.com/in/graham-ramsey/) interned at Watsi (YC W13) and designed and built the EHR at the telemedicine company PlushCare. He was an early product team member at Modern Fertility (YC S17) until its acquisition by Ro in 2021.\n\nContact us at [founders@glass.health](mailto:founders@glass.health).",
        "url": "https://www.ycombinator.com/launches/HsE-glass-health-frictionless-software-for-learning-and-practicing-medicine",
        "votes": 25,
        "created_at": "2023-01-25T17:58:38.335Z"
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        "full_name": "Ari Malik",
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        "title": "Deploy your product in your customer VPC  or Single-tenant SaaS or AirGapped",
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To learn more, see this blog: <https://omnistrate.com/blog/why-byoc-is-the-future-of-enterprise-software-deployment>\n\n**2. Build and distribute your Single-tenant SaaS  (or Hosted SaaS)**\n\nUse the same control plane to run your single-tenant SaaS across clouds, regions, tenancy models, and infrastructure configurations.\n\nStart with hosted SaaS to support simple dedicated deployments, add dedicated K8s, dedicated network, dedicated account, or multi-tenant your customers over the shared infrastructure.\n\nThis is particularly useful when your first few customers have very different requirements but you don't want to maintain separate platforms for every deployment configuration. Also - allows you to enable free trial cost-effectively or figure out the right distribution model as you unlock your GTM. To learn more, please see this blog: <https://omnistrate.com/blog/why-enterprise-saas-is-moving-toward-isolated-tenancy-models>\n\n**3. Sell through AWS, Azure, and Google Cloud Marketplaces**\n\nLaunch and transact through the major cloud marketplaces without building separate fulfillment and billing integrations for each provider.\n\nOmnistrate helps with the end-to-end motion including marketplace enablement, fulfillment, subscriptions, metering, billing, and integration with your product. We also work with you on the listing (we partner with Suger, another YC company) and cloud co-sell motion.\n\nTo learn more, please see this blog: <https://omnistrate.com/blog/the-hidden-fulfillment-problem-killing-your-cloud-marketplace>\n\n### **What Omnistrate handles**\n\nYour generated control plane can automate:\n\n* Infrastructure provisioning and configuration\n* Application deployment, scaling, and upgrades\n* Customer self-service deployments\n* Tenant and subscription management\n* Observability and health monitoring\n* Backups, recovery, drift detection, and Day-2 operations\n* Security, governance, RBAC, and auditability\n* Metering, billing, licensing, and entitlements\n* Cloud Marketplace fulfillment\n* Fleet-wide operations across customer environments\n* and more: [**https://docs.omnistrate.com/**](https://docs.omnistrate.com/)\n\n### **How does it work?**\n\nBring what you already have — container images, Docker Compose, Helm charts, Kustomize manifests, Kubernetes Operators, Terraform/IaC, or your existing deployment artifacts.\n\nDefine how your product should be deployed and operated in Claude (or your favorite codex), and we will translate that into a declarative spec and then use that to generate your **private-label control plane running in your account**.\n\nThat control plane manages the infrastructure and application lifecycle across your different customer environments.\n\nFor customer-hosted deployments, your customer's workloads and data stay in their environment. Your customers interact with your product and brand — not Omnistrate.\n\nAlready have a control plane or customer portal? You don't have to replace it. Omnistrate can extend what you already built to support additional clouds, BYOC, Kubernetes, on-prem, air-gapped environments, and operational capabilities.\n\n### **Our ASK:**\n\nIf you are looking to build one or would like to discuss more on the topic, we would love to chat more. Here is our calendly: <https://calendly.com/omnistrate>\n\nIf you would like to interested to learn more about Agent deployments, check out: <https://agentic-saas-talks.com/>",
        "url": "https://www.ycombinator.com/launches/VpF-deploy-your-product-in-your-customer-vpc-or-single-tenant-saas-or-airgapped",
        "votes": 6,
        "created_at": "2026-10-15T15:50:12.811Z"
      },
      {
        "id": 91525,
        "title": "Omnistrate: CoPilot for Platform teams to go from app to product in days, not years",
        "tagline": "Build software distribution aka Control Plane",
        "body": "Going from (Agentic) App to Product, organizations have to build multiple distribution engines. The Control Plane is nothing but an **operating system for those distribution models**.\n\nOmnistrate is a developer platform to build software distribution aka Control Plane — the \"operating system\" that powers deployment models like On-Prem / AirGapped, BYOC, PaaS, SaaS, AaaS distributions.\n\nWe achieve this by building and running your Control Plane in your account, so that you don't have to spend years to build and army to operate on undifferentiated things.\n\n![uploaded image](/media/?type=post&id=91525&key=user_uploads/1159729/a13a9237-8faa-4f5d-b232-b8fecb82ce62)\n\n### **What will your Control Plane do?**\n\n* OnPrem Installs: Packaging, versioning, deployment templatization, seamless upgrade paths, collecting basic troubleshooting data (logs/metrics), and enforcing licensing to prevent unauthorized use. Its effectively similar to building your terraform scripts for infrastructure, L5 K8s operator on top, writing the deployment script to stitch everything together.\n* BYOC CoPilot: If you want to extend OnPrem model by automating deployments within the customer’s cloud account — across any cloud or region. You have to automate deployments, build the ability to deploy in customers’ account, support Offline mode for security conscious customers\n* PaaS: If you want to extend OnPrem and BYOC to offer self-serve deployments (aka PLG motion) including tenant management, usage-based billing and, automated operations at massive scale — reliably, securely, and cost-effectively\n* SaaS: for companies looking to provide seamless experience by just giving an endpoint that just works. The endpoint is smart enough to handle a broad range of use cases and automatically adjust based on usage to optimize for the cost, scale, performance without compromising on the security or reliability\n* AaaS: If you are looking to build next-gen experience where each customer gets a **personalized experience** based on their organization, workloads, and data or distribute your agents\n\nTo learn more more about different distribution models, see this blog: https://blog.omnistrate.com/posts/152\n\nTo learn more on how we are different than CI/CD, IaC, or PaaS systems: https://omnistrate.com/control-plane-demystified\n\n### **Why we built Omnistrate:**\n\nGiven the complexities of Control Plane, most DIY control planes become fragile, siloed, and a blocker to innovation. Hence, we have built Omnistrate to build your control plane running in your account, so that you don't have to spend years to build and army to operate on undifferentiated things.\n\n### **How does it work:**\n\n![uploaded image](/media/?type=post&id=91525&key=user_uploads/1159729/b3f750a5-13d3-4db1-bded-a6dcc79a186f)\n\nWe take your container images and your cloud account id to run your control plane. From there you can provide the control plane specification using docker compose (we have added extensions) or use our native DSL (domain specific language) to describe your control plane.\n\nWhat if you already started? - No problem. You can start at any point in the journey very easily. We integrate with your existing control plane stack irrespective of your current state. You can keep control of the pieces you like, leave the rest on us and have the peace of freedom to expand into new areas with ease at one-tenth the cost. Examples:\n\n* We can import your Terraform (used for infrastructure management)\n* We can import your Helm, Kustomize, Operator (used for packaging, templatization,\n* We can take your existing automation for deployments to extend you across clouds or regions, build beautiful SaaS and AaaS experiences.\n* and much more..\n\nTo learn more, see our technical blogs:\n\n* https://blog.omnistrate.com/posts/151\n* https://blog.omnistrate.com/posts/150\n* https://blog.omnistrate.com/posts/149\n\nQuick Product Intro videos:\n\n* BYOC CoPilot: https://youtu.be/3D08uFN6ugc\n* PaaS: https://youtu.be/4vDdVf9x_nU, [https://youtu.be/\\_S0UXJh516M](https://youtu.be/_S0UXJh516M%EF%BF%BC-), https://youtu.be/8gUrqrMcjdM\n* For OnPrem, SaaS and AaaS demo, reach out to &lt;[support@omnistrate.com](mailto:support@omnistrate.com)&gt;\n\n### **Use-cases:**\n\n* Build OnPrem Installer, BYOC, PaaS, SaaS or AaaS Products as mentioned above.\n* BYOC CoPilot for your support teams to streamline deployments to accelerate customer onboarding, manage upgrades/versioning to keep track of your customers in an automated way, streamline operations to reduce MTTR and bring consistency in handling the issues. We also support offline mode for security conscious customers to only connect during operational time otherwise they can stay completely disconnected\n* Multi-cloud & BYOC expansion for teams with existing control planes to extend it across clouds — deploy globally and support any deployment model, including BYOC, to run seamlessly in your customers’ accounts\n* Open-source Project to Open-core: Monetize your open-source project without compromising your community-driven values by offering value-added services like streamlined deployments across any cloud/region in your own account or deploy in customers’ accounts, automated operations, seamless infrastructure management\n* Internal PaaS to save cost by using your cloud credits, streamlining deployments and operations, infra management\n\n### **Our ASK:**\n\nIf you are looking to build one or have any questions or would like to discuss more on the topic, we would love to chat more. Here is our calendly: https://calendly.com/omnistrate\n\nIf you would like to stay connected, follow us here: https://www.linkedin.com/company/omnistrate/ or join our community group: http://saasmondays.com/",
        "url": "https://www.ycombinator.com/launches/NoD-omnistrate-copilot-for-platform-teams-to-go-from-app-to-product-in-days-not-years",
        "votes": 17,
        "created_at": "2025-06-22T18:13:13.639Z"
      },
      {
        "id": 70134,
        "title": "Omnistrate - Cloud platform to SaaSify your open-source project 🚀",
        "tagline": "From your docker image to your multi-cloud SaaS in 1 minute",
        "body": "![uploaded image](/media/?type=post&id=70134&key=user_uploads/1159729/250b8d8a-7e84-40d5-80c6-deb4f4645c83)\n\n### **✨ TL;DR**\n\nOmnistrate is a control-plane as-a-service that **transforms your docker image into a multi-cloud SaaS service**. Let’s say you have an open-source software (e.g. MongoDB), and you want to monetize your invention by building a multi-cloud SaaS solution (e.g. MongoDB Atlas), you can either spend years doing it yourself, or use Omnistrate to do it in no time.\n\nHello everyone - it’s Kamal and Alok here introducing [Omnistrate](https://www.omnistrate.com)!\n\n### **🤯 Problem**\n\n* Going from Software to SaaS can **take months or even years**. Moreover, it can take several attempts for enterprises to find their product-market fit making it **extremely costly** to experiment.\n* Cloud is **complicated** with so many different services, cloud providers, and a rapidly evolving landscape.\n* Building a SaaS service from scratch to do undifferentiated heavy-lifting **distracts** enterprise from the core innovation and adds significant **risk** to their business.\n\n### **💡 Solution**\n\n* Omnistrate makes it **simple, quick** and **cost-effective**, saving years of development time and resources. And we do this, for every cloud provider across the globe out of the box.\n* Omnistrate abstracts away all the cloud complexities and make it **super** **easy** to build cloud-native services.\n* In a fast moving world, enterprises need a platform that allows them to **successfully experiment**, without shifting their focus or taking a massive business risk.\n\n### **📜 Our Story**\n\nI was part of the AWS founding team, and built **more than half-a-dozen cloud services** over the years (2007-2020) across different domains. During my early days at AWS, I was one of the **original authors of AWS control plane** that was used to host open-source technologies by numerous AWS services.\n\nAlok and I met at AWS Aurora when I was running the database engineering for a **billion dollar SaaS business**, managing millions of databases. Alok was the original technical author of Aurora Serverless, which revolutionized the data systems space. He then went to Cisco to scale networking pipeline (packets-per-second) on AWS by 10-15x.\n\nWe reunited again at Confluent in 2020 where I ran the Kafka engineering at Confluent and grew their multi-cloud Kafka offering to **200MM+ ARR business managing over 100,000 containers**. Alok played a key role there in scaling Kafka Cloud throughput by 5x, and reducing Kafka Cloud latencies by 10x to really distinguish Confluent Kafka offering from other vendors.\n\nWith Omnistrate, we want to **share our learnings into a fully automated platform** by getting rid of the undifferentiated work and making it simple for anyone to build a SaaS service.\n\n### **⚒️ How it works**\n\n![uploaded image](/media/?type=post&id=70134&key=user_uploads/1159729/57ff5a13-a71a-4853-8370-f46493442817)\n\nYou start by simply bringing your docker image. Omnistrate, from then on, will seamlessly build your SaaS and runs it on auto-pilot. At every step of the process, you retain full control, the ability to innovate on your product and the ability to integrate with your favorite tools or services.\n\n### **🫶 Ask**\n\nIf you are **looking to SaaSify your open-source (or any other software)**, please sign-up [here](https://omnistrate.com/demo) and we will create an account for you to provide a white glove experience. We will then come on a quick call to get you up and running in a few minutes.\n\nIf you know someone who could benefit, please reach out to us at: [founders@omnistrate.com](mailto:founders@omnistrate.com)\n\nIf you are excited about the SaaS space, please join our [Slack](https://join.slack.com/t/cloudnative-u5h1399/shared_invite/zt-1qf3cgi37-lCV1vKJlrBioqGuVjKBtyw) community\n\n### **⭐️ Our YC deal:**\n\nPlease see this: <https://bookface.ycombinator.com/deals/1677>\n\nFor any questions on the deal, please reach out to us at [yc@omnistrate.com](https://mailto:yc@omnistrate.com)\n\nThank you! Omnistrate Team ✌️\n\nCEO, Kamal Gupta",
        "url": "https://www.ycombinator.com/launches/IFC-omnistrate-cloud-platform-to-saasify-your-open-source-project",
        "votes": 560,
        "created_at": "2023-03-10T14:58:53.557Z"
      }
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    "website": "https://www.trynarrative.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Narrative is the easiest way to create end-to-end tests, replacing Playwright, Selenium, and Cypress with self-healing tests.\r\n\r\nRecord your user journeys to deploy tests in minutes, and let our agents handle flaky selectors and timing issues. When a test fails, you get a bug report in plain English that's easy to triage.\r\n\r\nTrusted by Nanonets, Commenda, Drumkit, Metal, and Vega.\r\n\r\nLearn more at www.trynarrative.com",
    "one_liner": "AI agents for end-to-end testing",
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    "subindustry": "B2B -> Engineering, Product and Design",
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    "url": "https://www.ycombinator.com/companies/narrative",
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    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/trynarrative/",
    "x_url": "https://twitter.com/trynarrative",
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    "primary_partner": {
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      "url": "https://www.ycombinator.com/people/aaron-epstein"
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        "user_id": 615477,
        "full_name": "Suchit Dubey",
        "title": "Founder",
        "founder_bio": "CEO@Narrative. Previously Uber Freight, Crew, Thumbtack, Palantir and Ridecell.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/dubeysuchit/",
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        "title": "Founding engineer (Backend + AI)",
        "url": "https://www.ycombinator.com/companies/narrative/jobs/AUF5OZd-founding-engineer-backend-ai",
        "location": "Bengaluru, KA, IN / Bengaluru, Karnataka, IN / Remote (IN)",
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        "salary_range": "$36 - $60",
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        "experience": "3+ years",
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    "id": 27817,
    "name": "loopfour",
    "slug": "loopfour",
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    "website": "https://www.loopfour.com",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "loopfour builds reliable, automated workflows across the tools your business already uses, including NetSuite, QuickBooks, Stripe, and Salesforce.\r\n\r\nNo fragile integrations. No AI hallucinations. Just financial operations that work, every time.\r\n\r\nWe also make JustPaid, our billing automation product.",
    "one_liner": "Workflow automation, without AI hallucinations.",
    "team_size": 20,
    "industry": "Fintech",
    "subindustry": "Fintech",
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        "full_name": "Daniel Kivatinos",
        "title": "Founder/CEO",
        "founder_bio": "loopfour CEO & cofounder.\n\nI’ve worked across multiple startups and raised millions of dollars of venture capital funding over the last several years for my startups.\n\nCofounded DrChrono, acquired in 2021, making DrChrono a top 1% YC exit.",
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        "full_name": "Anelya Grant",
        "title": "Founder",
        "founder_bio": "Immigrant founder solving B2B billing",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/anelya/",
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        "full_name": "Vinay Datta Pinnaka",
        "title": "Founder",
        "founder_bio": "Vinay is a co-founder and founding engineer at Loopfour with over 10 years of experience in building scalable web applications. He scaled the billing system for Drchrono to handle $4B+ worth transactions. Vinay holds a master's degree in Computer Science with a specialization in Human-Computer Interaction. He is responsible for overseeing Loopfour's technology strategy and product development",
        "is_active": true,
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        "id": 100479,
        "title": "Social Media Intern",
        "url": "https://www.ycombinator.com/companies/loopfour/jobs/j8cWw7Z-social-media-intern",
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    "news": [
      {
        "title": "Top 5 AI Workflow Automation Tools for Business Operations in 2026 | The AI Journal",
        "url": "https://aijourn.com/top-5-ai-workflow-automation-tools-for-business-operations-in-2026/",
        "date": "Aug 21, 2026"
      },
      {
        "title": "The startup JustPaid drew inspiration from the sitcom Silicon Valley gag into an AI engineer",
        "url": "https://www.rdworldonline.com/the-startup-justpaid-drew-inspiration-from-the-sitcom-silicon-valley-gag-into-an-ai-engineer/",
        "date": "Apr 28, 2026"
      },
      {
        "title": "Meet the Startup That Used AI and OpenClaw to Automate Its Own Developers",
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      },
      {
        "title": "JustPaid.ai - Automate your AR/AP, Amplify your Cash Flow",
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        "id": 84140,
        "title": "JustPaid.ai - Automate accounts receivable with the most powerful platform",
        "tagline": "Meet JustPaid.ai, the billing platform for complex B2B sales.",
        "body": "[JustPaid.ai](http://JustPaid.ai) is reimagining B2B accounts receivable workflows, stepping away from rigid legacy CPQs, and entering a new era of finance efficiency, connecting CRO and CFO in one place.\n\nWithin seconds, the platform converts fully executed complex sales contracts into dynamic revenue records (customer names, billing parameters, customer notes) - where the journey of each invoice is timely generated, payments are reconciled automatically, and human-like collections workflows guide the cash gently into your bank account.\n\nHere’s a preview: <https://youtu.be/baNem5HVYQQ>\n\nJustPaid.ai excels in managing complexity and effortlessly handling consumption, tiered plans, renewals, price discounts, and custom SLAs.\n\nIntegrations to support your workflows with:\n\n* API or CSV usage data upload \n* eSignature (Dropbox, PandaDoc, DocuSign, Box)\n* CRM (SalesForce, HubSpot, [Close.io](http://Close.io), PipeDrive, Attio)\n* ERP (Intuit, NetSuite, Xero, Sage)\n* Sales Tax (Avalara, TaxJar)\n* Payments Checkout (Bank payments and Credit Card)\n\n**JustPaid.ai is positioned to help any growing enterprise.**\n\n**Ready to step into the future and consolidate the tools you are using for billing? Email** [**sales@justpaid.ai**](mailto:sales@justpaid.ai)\n\n_Story on the founders:_\n\nJustPaid.ai is the brainchild of Anelya Grant, Daniel Kivatinos, and Vinay Pinnaka.\n\nAnelya is a two-time female founder with a profound understanding of accounting and finance. She led a top accounting practice for tech startups in Silicon Valley for 15 years.\n\nDaniel is a two-time founder and the co-founder of DrChrono, the first YC healthcare company and one of the YC’s top healthcare exits.\n\nVinay is an exceptional software talent with expertise in ML and AI and years of experience building complex billing architecture.\n\nAccounts Receivable is a massive multibillion-dollar market, with around 12%—15% projected growth over the next few years. With companies focusing on improving cash flow management, JustPaid.ai helps them step into the future and reduce the time spent on billing per month, payment reconciliation, and collections.\n\n![uploaded image](/media/?type=post&id=84140&key=user_uploads/75267/38fbbf8b-8120-4d9b-8817-bba675f4f414)\n\n",
        "url": "https://www.ycombinator.com/launches/Lt6-justpaid-ai-automate-accounts-receivable-with-the-most-powerful-platform",
        "votes": 51,
        "created_at": "2024-09-19T16:02:05.483Z"
      },
      {
        "id": 69443,
        "title": "JustPaid.io (Loopfour) - Spend confidently with smart financial tools",
        "tagline": "Automatically check bills and bank charges against contractual pricing from vendors to ensure there are no billing errors.",
        "body": "### TL;DR\n\n[JustPaid.io](http://JustPaid.io) is the AI-powered controller you wish you had earlier, so you will never have to worry about overpaying bills again.\n\n### Problem\n\nCompanies' current financial processes are disconnected from what you _agreed_ to pay vs. what you were _actually_ charged, even when your vendor makes a billing error. This is what we’re here to resolve.\n\nOn average, United States businesses lose over $300,000 per year alone from invoice fraud totaling $12B. Don’t be a statistic. \n\nWith expanding teams, a lot of vendor workflows are stuck in Slack and inboxes.  We are automating workflows to successfully manage vendors, including contracts, projected spend, W9/W8BEn collection, payment approval and remittance. \n\n### Solution\n\nSaving thousands of dollars in real-time overview of your usage and billing, [JustPaid.io](http://JustPaid.io) provides a centralized experience to automate and manage vendor relationships, overspending, and more to ensure no matter the stage of your organization, you are always in control.\n\nWe collect data from your contracts all in one dashboard and compare it to both your historical as well as ongoing spend. We work with your existing bill payment solution or you can leverage our multi-approval workflow.\n\n### Backstory\n\nOur backstory is founded on personal experience that is often shared by many in the YC Community:\n\n“_My firm and I were handling all the bookkeeping, accounting and controller functions for over 1,000 startups in the past 10 years. It’s the same issues with the lack of workflow. There is always the same persistent disconnect of management and finance teams. Endless emails between so many stakeholders due to the contract negotiation process with no meaningful control when the bill is due. Additionally, collecting W9/W8BEN forms, and setting up payment accounts.”_ \n\n_- Anelya Grant // Co-CEO_ [_JustPaid.io_](http://JustPaid.io) _(Loopfour)_\n\n_“As a second-time founder, I know it can be a burden to keep a daily eye on spend, yet it is a necessary part of running a successful startup looking into what is owed and what is paid. I wanted to create a tool I wish I had that gave real-time financial insights. Founders and their teams need a copilot providing a usable dashboard to make them certain about cash flow visibility into their company, giving financial insights real-time.”_\n\n_- Daniel Kivatinos // Co-CEO_  [_JustPaid.io_](http://JustPaid.io) _(Loopfour)_\n\n_“I want every founder out there to have accurate financial information at their fingertips so that every employee can feel secure.”_\n\n_- Vinay Pinnaka // Co-Founder and Founding Engineer_  [_JustPaid.io_](http://JustPaid.io) _(Loopfour)_\n\n![](https://lh6.googleusercontent.com/aaAXDhjlpZgFRCKiGdU36ksQkCeDyTb-2lNZJYaYrw3Dcle9U271Z_ic4GI8zI6E-Zz1a8MbEPerpl0I76302PBIhVIZVyyaw-Y2bN7FA3jLrCTkEcu0oeGtFV96yBDco3HngTqTXMuyGGGdzKOKhMs)\n\n### Asks\n\nFrom [_JustPaid.io_](http://JustPaid.io) _(Loopfour)_, YC members and others are able to easily self-onboard, connect bank accounts and provide contracts to jump-start the process of agreed vs. charged bill analysis and manage payments. We’re excited to welcome an early adoption of users to not only alleviate their current headaches but also create an open collaboration of feedback together to better advance our solution to exceed your expectations. We are also providing a 50% discount to all YC Companies.",
        "url": "https://www.ycombinator.com/launches/I43-justpaid-io-loopfour-spend-confidently-with-smart-financial-tools",
        "votes": 178,
        "created_at": "2023-02-20T18:34:57.555Z"
      }
    ]
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    "id": 27822,
    "name": "GovEagle",
    "slug": "goveagle",
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    "website": "https://www.goveagle.com/",
    "all_locations": "New York City, NY, USA",
    "long_description": "GovEagle is an AI-native platform built to help public sector teams find, win, and manage work.",
    "one_liner": "AI for Government Contractors",
    "team_size": 25,
    "industry": "Government",
    "subindustry": "Government",
    "launched_at": 1678919888,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Active",
    "industries": [
      "Government"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/goveagle",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/goveagle.json",
    "year_founded": 2022,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/goveagle1",
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    "app_video_url": null,
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    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
    },
    "founders": [
      {
        "user_id": 578463,
        "full_name": "Akash Mandavilli",
        "title": "Founder",
        "founder_bio": "Akash is currently the co-founder of GovEagle. Before GovEagle, Akash was a Product Manager at Meta working on virtual reality co-presence and WhatsApp ads. Akash also spent time at IBM working on federal sales operations and predictive analytics. Akash graduated from Johns Hopkins with a degree in Economics and Computer Science. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/akashmandavilli/",
        "x_url": "https://twitter.com/AkashMandavill4",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/dd411c24b3c0a21cd4410ab171cddcf237056c26.jpg"
      },
      {
        "user_id": 1856015,
        "full_name": "Gabe Villasana",
        "title": "Founder",
        "founder_bio": "Gabe is the cofounder and CTO of GovEagle, an AI platform to help government contractors win more awards. Prior to GovEagle, Gabe was the founding ML engineer for Stripe's Financial Crimes team and has led ML research at Johns Hopkins Wilmer Eye Institute.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/gabriel-villasana/",
        "x_url": "https://twitter.com/GabeVillasana",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e8519341d8c1410bd7670abceedf64f964861bd4.jpg"
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    "jobs": [
      {
        "id": 114986,
        "title": "Sales Development Representative (SDR)",
        "url": "https://www.ycombinator.com/companies/goveagle/jobs/uYPkFY4-sales-development-representative-sdr",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$70K - $120K",
        "equity_range": "0.01% - 0.10%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
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    "launches": [
      {
        "id": 84598,
        "title": "GovEagle - Win more government awards, faster",
        "tagline": "Government RFP to compliant first-draft in hours instead of days, powered by secure AI. ",
        "body": "**TL;DR:** \n\n[GovEagle](https://www.goveagle.com/) is an AI-powered proposal writer. GovEagle understands your past proposals, past performance, and more to generate a compliant first draft in your templates, voice, and style. GovEagle does all this in 60 minutes instead of 60 hours. \n\n# **The Problem:**\n\n* Government contractors spend weeks on each proposal they submit. These submissions are dozens of pages encompassing multiple volumes and appendices.  \n* Timelines for RFPs are often tight and unpredictable, leading to late nights/weekends at the best and forsaken opportunities at the worst. \n* Government solicitations have strict compliance requirements - missing simple things like the correct font size can lead to disqualification\n* Subject matter experts and program managers often spend more time on proposals and paperwork than on customer-facing work or developing new capabilities\n\n# **Our Solution**\n\n[GovEagle](http://www.goveagle.com) AI uses your past proposals, past performance, and more to generate a compliant first draft in < 60 minutes. The GovEagle platform produces a complete compliance matrix, generates a compliant outline, exports a first draft in your template, and supports compliance and quality reviews throughout the process.\n\n![uploaded image](/media/?type=post&id=84598&key=user_uploads/578463/1c59c85e-80bb-4871-b171-33eb0235bc70)\n\n### **Compliance Shred**\n\nGovEagle shreds the RFP, PWS/SOW, and any additional attachments provided with the solicitation. This goes beyond just ‘shall’ terms, GovEagle will find any requirement regardless of how it’s phrased. From here, you can filter and search to make a bid/no-bid decision. \n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXenZGySD30oO4iP22uJ_VUMuaImlsNYzih65YAJV2vKSMg8mAJ_7gIK45M5HtoBbIGCfnmpbX68_f8dhdn-Jt2p85R0QMv54S7RMAUWVh_q91A61nw2SvfWIxvMdCjQ8KgrzVlFE30pbJUEWiNCDR7lng6w?key=OrX_EzEPvEP3vPXbI5jRsw)\n\n### **Pink Team Draft (Compliant Outline)**\n\nGovEagle will “marry sections L and M” to give you a fully compliant outline with detailed writing plans that match the format requested in the RFP. GovEagle then finds relevant documents and excerpts from your past proposals, past performance, white papers, and more. Use GovEagle’s AI chat to find additional resources and add them to the compliant outline. \n\n![uploaded image](/media/?type=post&id=84598&key=user_uploads/578463/64377a29-1971-412c-ad21-2463c2b6daea)\n\n### **AI RFP Writer**\n\nUsing the pink-team draft and relevant content, GovEagle will generate a complete red-team draft in your style, template, and voice. Using our editing interface or our Microsoft Word Add-On, you can generate graphics and ask the AI for edits, redraft sections, and more. \n\n![uploaded image](/media/?type=post&id=84598&key=user_uploads/578463/be0b2e06-728f-4697-8e38-dffd6e5999f8)\n\n### **The Team**\n\nAkash and Gabe met at Johns Hopkins University 8 years ago, where they built their first startup together. Before GovEagle, Akash was the youngest product manager at Meta and Gabe was the lead machine learning engineer at Stripe’s financial crimes team. While living in the DMV area, they worked with multiple government contractors and saw the challenge of proposal development firsthand. Now, they’re on a mission to help government contractors turn proposals into a superpower instead of a bottleneck. \n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXdHKohiNwQrzZ4fZF5Usq4XcHLn228ETn0jFwFn3a8sqKOjX8DPnKjj_wNX-Po4oF3tY41N5RIF7zRWDMtlufxLvvf-yd16Mx5eYuIPQRrRcso_IoKCw-jYgGLTWbkJZYC_YxPRQd1Y9Zd6-Z91VklNff4I?key=OrX_EzEPvEP3vPXbI5jRsw)\n\n**Learn More:**\n\n* Email [akash@goveagle.com](mailto:akash@goveagle.com)\n* Book a demo at <https://calendly.com/akashgoveagle/goveagle-ai-consult>",
        "url": "https://www.ycombinator.com/launches/M0U-goveagle-win-more-government-awards-faster",
        "votes": 8,
        "created_at": "2024-10-08T15:45:43.277Z"
      }
    ]
  },
  {
    "id": 27824,
    "name": "Coperniq",
    "slug": "coperniq",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9213f506809754ff509502961f8e99070b3ed411.png",
    "website": "https://coperniq.io",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Coperniq is workflow software for solar & energy contractors.\r\n\r\nIt cuts soft cost per installation by $3K (17% of total cost) & accelerates project completion by 45 days (30% of project timeline).\r\n\r\nWe replace Salesforce, spreadsheets, pencil-&-paper, & other hacky workarounds with an industry-specific application for the underserved energy workforce. \r\n\r\nMain benefits for our customers \r\n1. Finish projects faster and cheaper: Our platform cuts 17% of soft costs, allowing contractors to deploy more projects, faster, and cheaper, with 5-star customer experience every time\r\n2. Turn costly (often unprofitable) service calls into a revenue engine: By integrating with hardware OEMs (Enphase, SolarEdge, etc...), Coperniq gives you real-time health checks for your install base, automates service tickets, & drives referral revenue\r\n\r\nCoperniq does all this and much more in one beautiful platform!\r\n\r\nAre you or someone you know running or thinking about starting a solar company? [Schedule a call with us :)](https://calendly.com/coperniq-sales/discovery-web-v2 )",
    "one_liner": "Workflow software for solar & energy contractors ☀️😎",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B -> Supply Chain and Logistics",
    "launched_at": 1677047552,
    "tags": [
      "SaaS",
      "Solar Power",
      "B2B",
      "Climate",
      "Renewable Energy"
    ],
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    "top_company": false,
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    "nonprofit": false,
    "batch": "Winter 2023",
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    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/coperniq",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/coperniq.json",
    "year_founded": 2021,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "http://www.linkedin.com/company/69833957",
    "x_url": "https://twitter.com/coperniqinc",
    "fb_url": "https://www.facebook.com/Coperniq",
    "cb_url": "https://www.crunchbase.com/organization/coperniq",
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    "primary_partner": {
      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
    },
    "founders": [
      {
        "user_id": 869130,
        "full_name": "Abdullah Al Zandani",
        "title": "Founder",
        "founder_bio": "sales&ops @ two solar companies || energy efficiency building auditor @ ADM | B.S. Energy Engineering Cal '21",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/azandani/",
        "x_url": "https://twitter.com/abdullahzandani",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/03c19e298002f8fccbcb6e82592d7ce534361c04.jpg"
      },
      {
        "user_id": 541919,
        "full_name": "Max Kazakov",
        "title": "Founder",
        "founder_bio": "Skills: Software, Data, UX/UI;\nEdu: CS & Philosophy @ UC Berkeley",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/mxkzk/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5257d5a23f9bd9afec90f725efb3640f93885630.jpg"
      }
    ],
    "jobs": [],
    "news": [
      {
        "title": "Coperniq raises $4M seed round to bring SaaS to solar installers | TechCrunch",
        "url": "https://techcrunch.com/2023/11/06/coperniq-seed-round",
        "date": "Nov 06, 2023"
      }
    ],
    "launches": [
      {
        "id": 69996,
        "title": "😎☀️ Coperniq — Workflow software for solar & energy contractors",
        "tagline": "Coperniq automates the entire solar workflow so contractors can focus on growing their business & helping more homeowners go solar!",
        "body": "What’s up YC 👻 , Max & Abdullah here - co-founders of [Coperniq](https://www.coperniq.io/) (W23).\n\n# **🏃‍♂️ TL;DR**\n\nCoperniq is workflow software for solar & energy contractors. It cuts soft cost per installation by **$3K (17% of total cost)** & accelerates projects by **45 days (30% of project timeline)**.\n\nIt automates the entire workflow so contractors can focus on growing their business & helping more homeowners go solar 😎☀️\n\n# **🤯 Problem**\n\nAbdullah used to work in the solar industry, first in the sales department, and later in operations management.\n\nHe witnessed first-hand that while **“going solar”** was a no-brainer and took consumers 5 minutes, the process of getting a solar system **turned on** was a nightmare for companies and customers alike, taking 6-9 months instead of the promised 90 days. \\\n\\\nThis is because despite being one of the most important industries of our lifetime, solar is in the dark ages technologically. Bloated Salesforce instances, spreadsheets with 300+ columns, and pencil-and-paper workflows in the field…\n\nThis results in project managers working 60-hour weeks, human error & delays at every step of the process, and some of the [worst customer experience](https://www.facebook.com/watch/?v=1877039252445470) in the entire home improvement sector.\n\n# **💡 Solution**\n\nCoperniq is the first industry-specific platform for the underserved energy workforce. It helps…\n\n## **1\\. Finish projects faster and cheaper**\n\nOur platform cuts up to 25% of soft costs, allowing contractors to deploy more projects, faster, and cheaper; with 5-star customer experience **every time**.\n\n![uploaded image](/media/?type=post&id=69996&key=user_uploads/541919/dc586ac8-2cc9-4216-a3ff-95737f8c9942)\n\n### **2\\. Turn costly (often unprofitable) service calls into a revenue engine**\n\nBy integrating with hardware OEMs (Enphase, SolarEdge, etc…), Coperniq gives you real-time health checks for your install base, automates service tickets, & drives referral revenue.\n\n![uploaded image](/media/?type=post&id=69996&key=user_uploads/541919/2e40aa5b-e1cd-4413-9efc-4780e32d1f28)\n\n# 🙏 **Ask**\n\nAre you or someone you know running (or thinking of starting) a solar company?\n\n* Email us at [team@coperniq.io](mailto:team@coperniq.io)\n* or [schedule a call here :)](https://calendly.com/coperniq-sales/discovery-web-v2)",
        "url": "https://www.ycombinator.com/launches/ICy-coperniq-workflow-software-for-solar-energy-contractors",
        "votes": 28,
        "created_at": "2023-03-07T05:46:34.556Z"
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  },
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    "id": 27827,
    "name": "Vooma",
    "slug": "vooma",
    "former_names": [
      "Vooma Automation"
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    "website": "https://www.vooma.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Vooma is the AI agent for logistics. We help our customers automate manual tasks and focus on work that drives business value.\r\n\r\nMike built self driving trucks as a founding engineer at Kodiak Robotics (prev. Uber, Otto) and led their motion planning and safety teams. Jesse grew a private equity backed logistics software company from $2M to $20M+ as CEO.",
    "one_liner": "Automation platform for logistics",
    "team_size": 40,
    "industry": "B2B",
    "subindustry": "B2B -> Supply Chain and Logistics",
    "launched_at": 1677551717,
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Active",
    "industries": [
      "B2B",
      "Supply Chain and Logistics"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Growth",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/vooma",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/vooma.json",
    "year_founded": 2022,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/vooma-inc",
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    "primary_partner": {
      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
    },
    "founders": [
      {
        "user_id": 887217,
        "full_name": "Jesse Buckingham",
        "title": "Founder",
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        "body": "**_tldr_**_: Vooma fully automates order taking from shippers for brokers and carriers. We help logistics companies scale with less headcount, reduce cost per load and eliminate data entry errors. Reach out at _[_www.vooma.ai_](http://www.vooma.ai)_._\n\nHello! We’re Mike and Jesse, and we’re building Vooma.\n\n### 🎊 Vooma: a backoffice automation platform for logistics\n\nVooma is a back-office automation platform for freight brokers and carriers that fully automates order taking from shippers.\n\n![uploaded image](/media/?type=post&id=69872&key=user_uploads/887217/2a8f7b68-4b35-46d5-9e22-852e63f32c67)\n\n### 😰 Taking orders from shippers is still extremely manual\n\nToday brokers and carriers receive 60% of orders (\\~$200BN of freight) over email text, spreadsheets and PDFs and key them into their systems manually. The industry spends \\~$750M per year in salaries alone on this problem.\n\nOnly a fraction of shippers have transportation management systems, and a smaller fraction can send orders digitally.\n\nThere’s no good solution for logistics companies. Some have tried robotic process automation, but the variety of file types makes RPA clunky, slow and not cost effective.\n\nFor brokers and carriers, building loads manually:\n\n* is expensive,\n* distracts from higher value tasks,\n* results in billing and operational errors, and\n* makes scaling without headcount hard.\n\n### 💡 How does Vooma work?\n\nIt’s simple.\n\n1. Reps forward order emails to Vooma\n2. Vooma extracts the load details\n3. Vooma pushes the load to the broker/carrier system through EDI / API\n\nWith Vooma, brokers and carriers can:\n\n* Scale with less headcount\n* Reduce cost per load\n* Eliminate data errors\n\n![uploaded image](/media/?type=post&id=69872&key=user_uploads/887217/0121e6db-796e-4a32-a721-c875b45b4c78)\n\nWe’ve successfully solved the order entry problem where others have failed by combining our computer vision expertise with today’s large language models.\n\n### 🧑‍🤝‍ 🧑 The Vooma team\n\nJesse and Mike were introduced by a close mutual friend and bonded over a love of logistics. \n\nMike had built self driving trucks as a founding engineer at Kodiak Robotics ($250M raised), establishing and leading their motion planning and safety teams. Prior to that he was an autonomy engineer at Uber ATG and Otto.\n\nJesse had grown a private equity backed logistics software company from $2M to $20M+ ARR as CEO, selling to brokers and truckers. He saw first hand that every logistics company struggled with order entry and no good solution existed.\n\nJesse and Mike teamed up and realized they were perfectly positioned to solve the order entry problem, combining a deep understanding of the businesses that feel this pain with the computer vision, AI, and automation expertise necessary to make it go away.\n\n### 🙌🏼 Our asks\n\nAre you a freight broker or carrier and want to experience the magic of automated order entry? \n\nOr have any brokers or carriers in your network? \n\nEmail us at [founders@vooma.ai](mailto:founders@vooma.ai) or visit us at [www.vooma.ai](http://www.vooma.ai) to connect.",
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        "body": "Hey YC!\n\nWe're Ari and Peter, co-founders of Pirros. Pirros is a detail management system for structural engineers and architects. Our goal is to make it easier to use the knowledge from previous projects to save time on future projects.\n\n### 😬 **The Problem**\n\nConstruction design companies (structural engineering and architectural firms) are wasting time redesigning the same detailing conditions. \"Details\" are the micro-level blueprints of a construction building, for example a beam to column connection, or a wall assembly (see below). Each construction project has 100s of details, half of which are recreated for each project. 90% of these detailing conditions have been encountered and designed on one of the company's previous projects, the designer just doesn't have easy access to them.\n\n![uploaded image](/media/?type=post&id=67836&key=user_uploads/1099489/4cc5fe6a-4748-482f-b0a0-2928c858a807)\n\n#### ✅ **Our Solution**\n\nOn our platform, companies store the details from all their previous projects in a single cloud-based location (see below). Now, engineers and architects can quickly access any detailing condition just as easily as a google search, instead digging through all their past projects on their file server looking for a needle in a haystack.\n\n![](https://t36258466.p.clickup-attachments.com/t36258466/cc2dcd32-cf02-4184-ae29-8275e69fa288/Website.png)\n\n#### ⚒️ **How it works**\n\nOur software integrates with Revit (the industry standard drawing production software), and extracts each detail and all the metadata associated with it, so that there is enough information automatically stored with each detail to make them searchable. Designers come to our website, search and filter down to find the detailing condition they need for their current project, and then download the detail straight into Revit.\n\n#### 🙏 **The Ask**\n\nWe are continuing to onboard new customers and would love warm intros to structural engineers or architects. Or, if YOU are a structural engineer or architect, please reach out to us and we would love to set up a demo.\n\nThanks!",
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        "title": "Senior Infrastructure Engineer",
        "url": "https://www.ycombinator.com/companies/cosine/jobs/yBOX3vI-senior-infrastructure-engineer",
        "location": "London, England, GB",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Devops",
        "salary_range": "£75K - £100K GBP",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Amazon Web Services (AWS)",
          "Kubernetes"
        ]
      },
      {
        "id": 85772,
        "title": "Product Engineer",
        "url": "https://www.ycombinator.com/companies/cosine/jobs/9KEolFw-product-engineer",
        "location": "London, England, GB",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$70K - $90K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 88029,
        "title": "Senior Developer Evangelist",
        "url": "https://www.ycombinator.com/companies/cosine/jobs/12jJ07r-senior-developer-evangelist",
        "location": "London, England, GB / Remote",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "£60K - £90K GBP",
        "equity_range": "0.10% - 0.20%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "Move over, Devin: Cosine's Genie takes the AI coding crown | VentureBeat",
        "url": "https://venturebeat.com/programming-development/move-over-devin-cosines-genie-takes-the-ai-coding-crown/",
        "date": "Aug 12, 2024"
      }
    ],
    "launches": [
      {
        "id": 99817,
        "title": "Cosine 3.0  - one coding agent across every surface your team uses",
        "tagline": " (use your existing Claude, OpenAI, Copilot subscription)",
        "body": "\n![uploaded image](/media/?type=post&id=99817&key=user_uploads/797223/28afdae8-76ad-49c1-a761-3e89100fea74)\n\nTLDR: Cosine is built for the point where coding agents usually start to break down: longer tasks, multiple threads of work, team handoff, and code you still need to maintain later.\n\nPS. you can use your Claude Code, OpenAI and Copilot subscriptions (Don’t tell OpenCode or OpenClaw :P )\n\n```\nFor OpenAI and Copilot subscriptions:\nLaunch Cosine CLI \nCtrl+p and choose ChatGPT or Copilot subscription model \nYou'll get redirected to ChatGPT or Copilot website for auth\n\n_____\n\nFor Claude: \nMake sure you have a Claude Pro or Max subscription and have it installed on your local environment\n\nInstall the Cosine CLI — cosine.sh/cli (mac, windows and Linux supported)\n\nCtrl+p and choose the Claude Max Subscription (it works with both Claude pro and max)\n\nYour Claude Code subscription is recognised automatically — Cosine uses the actual Claude Code binary, so no API key needed\n\nRun cos in any repo — your Claude subscription quota is used directly, no extra Cosine billing for model usage)\n```\n\n<https://youtu.be/F61PCXvXd3Y>\n\n**More info:**\n\nIf you’re already deep into AI coding tools, you probably know the feeling:\n\nYou start with quick wins in terminal, then pretty soon you want the same speed on bigger tasks, across more than one thread of work, without losing track of what the agent is actually doing or ending up with code your team has to clean up later.\n\nThat’s basically why we built Cosine 3.0\n\nCosine is one coding agent across CLI, VS Code, desktop, and cloud. So you can start with a quick local task, pick it up somewhere else later, or spin up parallel agents when the job gets bigger, without hopping between separate tools or losing context.\n\nWhat we kept caring about as we built it was pretty simple:\n\nWe wanted something that still feels fast and direct, but gives you more visibility and more control once the work stops being a toy problem.\n\nSo you can inspect changes properly.\n\nSo you can follow what happened.\n\nSo you can undo things cleanly.\n\nSo you can run multiple threads of work when one agent is not enough.\n\nSo the whole thing still makes sense when other people on your team have to touch the code.\n\nA lot of tools feel great right up until you want them to do more than one thing, in more than one place, on code that actually matters.\n\nWe wanted to build the version that keeps working after that point.",
        "url": "https://www.ycombinator.com/launches/Pxx-cosine-3-0-one-coding-agent-across-every-surface-your-team-uses",
        "votes": 5,
        "created_at": "2026-04-16T15:03:34.648Z"
      }
    ]
  },
  {
    "id": 27843,
    "name": "Gooseworks",
    "slug": "gooseworks",
    "former_names": [
      "Magik Labs",
      "Magik Labs - Fast Web3 Checkout",
      "Magik Labs - Fast NFT Checkout",
      "Magik Labs",
      "Magik",
      "Athina AI"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/be25b5e55711ba973cd7f6c514b56a10ab3da20e.png",
    "website": "https://gooseworks.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Goose is an AI marketing brain that understands your company's marketing context deeply and makes it accessible to agents. \r\n\r\nWe index your existing materials — videos, product shots, testimonials, ad performance data — into a context layer that AI agents can then use to make creatives, webpages, write emails, social content and more.\r\n\r\nThe engine compounds: the agent learns from campaign performance, competitors, trends, and human feedback, so your creative gets better every month.",
    "one_liner": "Self-Improving Marketing Harness",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Marketing",
    "launched_at": 1667592357,
    "tags": [
      "Video",
      "Marketing",
      "Advertising",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Active",
    "industries": [
      "B2B",
      "Marketing"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/gooseworks",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/gooseworks.json",
    "year_founded": 2022,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/gooseworks-ai",
    "x_url": "https://x.com/GooseworksAI",
    "fb_url": null,
    "cb_url": null,
    "github_url": "https://github.com/gooseworks-ai",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/be25b5e55711ba973cd7f6c514b56a10ab3da20e.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
    },
    "founders": [
      {
        "user_id": 739633,
        "full_name": "Himanshu Bamoria",
        "title": "Founder",
        "founder_bio": "Co-founder, Gooseworks AI (https://gooseworks.ai) - building creative engines for AI ads.\n\nPreviously co-founded Athina AI – an LLM engineering platform used by teams at Perplexity, Doximity, and Avalere Health.\n\nEarlier, scaled a startup from 0 → $8M in revenue.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/hbamoria/",
        "x_url": "https://www.twitter.com/0xhbam",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e69c7d483fcfb141f7e08b3852c41fee608af5f3.jpg"
      },
      {
        "user_id": 731066,
        "full_name": "Shiv Sakhuja",
        "title": "Founder",
        "founder_bio": "Co-founder, Gooseworks AI (https://gooseworks.ai) - building creative engines for AI ads.\n\nPreviously co-founded Athina AI (https://athina.ai), an LLM observability and evaluation platform used by AI teams at Perplexity, Doximity, You.com, Meesho, PhysicsWallah and hundreds of other teams.\n\nContent creator - got 20M+ impressions and 70k+ followers in 1 year.\nPreviously worked as an engineer at Google and Troops.ai (acq. by Salesforce), building natural language Slack chatbots for work.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/shivsakhuja/",
        "x_url": "https://twitter.com/shivsakhuja",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/db43ccec0497e1149ce70d0bd8b2b8fe18f6f7fb.jpg"
      }
    ],
    "jobs": [
      {
        "id": 104690,
        "title": "Founding Engineer / Builder",
        "url": "https://www.ycombinator.com/companies/gooseworks/jobs/UJ4vH2F-founding-engineer-builder",
        "location": "San Francisco, CA, US / Remote",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $250K",
        "equity_range": "0.50% - 2.00%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 104914,
        "title": "Founding Creative Engineer",
        "url": "https://www.ycombinator.com/companies/gooseworks/jobs/rfgY8La-founding-creative-engineer",
        "location": "San Francisco, CA, US / Remote",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$120K - $200K",
        "equity_range": "0.50% - 1.50%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 109409,
        "title": "Design Engineer",
        "url": "https://www.ycombinator.com/companies/gooseworks/jobs/XZRrah7-design-engineer",
        "location": "San Francisco, CA, US / Remote",
        "type": "Full-time",
        "role": "Design",
        "role_type": "UI / UX",
        "salary_range": "$50K - $200K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
        "skills": [
          "React",
          "Figma"
        ]
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 81492,
        "title": "Athina IDE: Experiment with AI pipelines in a spreadsheet-like UI",
        "tagline": "A collaborative editor for teams to prototype, evaluate, and experiment with AI pipelines",
        "body": "## **_TLDR; Athina IDE is a collaborative editor for teams to prototype, evaluate, and experiment with AI pipelines in a spreadsheet-like UI 🧪_**\n\n### 😢 The Problem\n\nBuilding AI-powered features comes with lots of new challenges:\n\n1\\. It's hard to evaluate and compare the quality of retrievals and responses.\n\n2\\. Non-technical users like PMs cannot prototype pipelines or run experiments effectively, creating a bottleneck on engineers.\n\n3\\. Managing experimenting is messy, requiring teams to maintain scripts and spreadsheets.\n\n.\n\n.\n\n### 😁 The Solution: Athina IDE\n\n**🧪 Athina IDE is a collaborative editor for AI teams to prototype, evaluate, and experiment with AI pipelines in a spreadsheet-like UI.**\n\n![uploaded image](/media/?type=post&id=81492&key=user_uploads/731066/d86504e7-ba8e-4b65-a872-a0dafeabfa0b)\n\n.\n\n### 🎯 Core Philosophies\n\n **1\\. Great AI products are a team effort:** PMs, Data Scientists, SWEs, MLEs, QA teams, etc., all have to come together to build something great  \n\n...so we made sure that **_non-technical users could experiment, prototype, and run tests on Athina just as easily as technical users._**   \n\n**2\\. Great AI products are built around great data**  \n\nThis is why the entire editor revolves around your data and gives you powerful controls like a spreadsheet.\n\n.\n\n.\n\n### _What can you do with Athina IDE?_\n\n.\n\n## **✨ Prototype Complex Pipelines with Dynamic Columns ✨**\n\n![](https://athina.ai/develop/prototype.png)\n\n**⚡️ Dynamic Columns** in Athina IDE let you prototype complex pipelines in a UI that feels like a spreadsheet. Dynamic columns can be used to:\n\n* Run prompts\n* Execute code\n* Retrieve data from a vector DB\n* Make API calls\n* Classify text / extract entities\n\n![uploaded image](/media/?type=post&id=81492&key=user_uploads/731066/1a18b5ba-2b6a-4a41-b5d5-7c702af3bd2d)\n\n.\n\n## **Run Evaluations**\n\nPlug in any eval from our library of over **50+ preset evals**, or use custom evals. Run evaluations in seconds with just a few clicks.\n\n![uploaded image](/media/?type=post&id=81492&key=user_uploads/731066/9288258e-9ce9-4e65-9f16-8de55405807c)\n\n.\n\n## **Run Experiments**\n\nIn just a few clicks, anyone can experiment with a different prompt, model, or retriever.\n\nIf you are technical, you can run even more powerful experiments.\n\n![uploaded image](/media/?type=post&id=81492&key=user_uploads/731066/7694a57b-ab7d-4444-b568-a2eb2944d503)\n\n.\n\n##### **Compare Everything Side-by-Side**\n\n* Compare datasets side-by-side with an optional diff-view!\n* Run evaluations on multiple datasets simultaneously and compare metrics!\n\n![uploaded image](/media/?type=post&id=81492&key=user_uploads/731066/131fe29f-828d-48d5-aae7-f9f7a470c9ce)\n\n.\n\n## **How can you use it?**\n\nYou can start using Athina IDE for free!\n\n* Create an account at <https://app.athina.ai> and go to the **Develop** tab.\n* For a personal demo and to learn more about how Athina IDE can accelerate your AI development, book a demo with us: <https://cal.com/shiv-athina/30min>.",
        "url": "https://www.ycombinator.com/launches/LCO-athina-ide-experiment-with-ai-pipelines-in-a-spreadsheet-like-ui",
        "votes": 33,
        "created_at": "2024-06-13T20:09:26.820Z"
      },
      {
        "id": 77263,
        "title": "Athina AI: The Ultimate Monitoring and Evaluation Platform for LLM Developers",
        "tagline": "A suite of tools to supercharge LLM development and help you ship high-performing, reliable AI applications",
        "body": "### **TL;DR: Athina helps you monitor and evaluate your LLM powered app. Plug and play evals in production. 5 minute setup.**\n\n—-\n\n👋 Hey everyone! We’re thrilled to announce the launch of [Athina AI](https://docs.athina.ai/), a suite of tools for LLM developers to ship and develop AI products with confidence.\n\n### What is Athina AI?\n\nAthina AI is a **Monitoring & Evaluation platform** for LLM developers.\n\n![uploaded image](/media/?type=post&id=77263&key=user_uploads/731066/30a27eb5-a787-46d2-8420-cb2c30da24e2)\n\nDevelopers use Athina’s evaluation framework and production monitoring platform to improve the performance and reliability of AI applications through real-time monitoring, analytics, and automatic evaluations.\n\n### 🔴 The Problem\n\n* It is difficult to measure the quality of Generative AI responses.\n* Eyeballing responses is tedious, leading to slow development cycles\n* No easy way to detect unreliable or bad outputs (especially in production).\n* Difficult to make changes to prompt or retrieval pipeline with confidence without introducing regressions.\n* Poor visibility into all the steps in your LLM inference pipeline\n\nLLM developers typically have to build and maintain lots of in-house infrastructure for monitoring and evaluation.\n\n### 🟢 Our Solution: Athina AI\n\n[Athina](https://docs.athina.ai) is a comprehensive suite of tools to supercharge your LLM development lifecycle and help you ship high-performing, reliable AI applications with confidence.\n\n* **Quick Setup**: [Get started](https://docs.athina.ai/logging/log_via_api) in just 5 minutes! The entire integration is 1 simple POST request _(and we don’t interfere with your LLM calls)_\n* **Comprehensive Monitoring Platform**: Full visibility into your LLM touchpoints. Search, sort, filter, compare, debug.\n* **Prebuilt Evaluations**:\n  * You can configure automatic evaluations in just a few clicks - use one of our preset evals or define a custom eval.\n  * These evals will run against logged inferences automatically.\n  * You can also use our [**open-source library**](http://github.com/athina-ai/athina-evals) to run evals and iterate rapidly during development.\n* **Granular Analytics**:\n  * Tracks usage metrics like response time, cost, token usage, feedback, and more.\n  * Athina also track metrics from the evals, like Faithfulness, Answer Relevance, Context Sufficiency, etc\n  * You can segment these metrics by any property: customer ID, environment, model, prompt, etc.\n  * For example, you could use Athina to see how **prompt/v4** is performing for customer ID **nike-usa** and how **gpt-4** performance compares to a **llama-finetune**.\n\n**Who is this for?**\n\nAthina is designed for developers building AI products.\n\nIf you’re in the prototyping or development stage, you can use Athina to get visibility and [rapidly test](https://docs.athina.ai/evals/develop_dashboard) the LLM generated responses.\n\n![](https://docs.athina.ai/develop-ui-results.png)\n\nIf you have launched your AI in production, you can use Athina to monitor and evaluate your LLM in production.\n\n### 🌟 Our Story\n\nAs a team of engineers and hackers, we spent a summer trying to build various LLM-powered applications for developers.\n\nWhile working with LLMs, we found that the most challenging part was evaluating the Generative AI output and systematically improving model performance.\n\nOn speaking with other AI developers, we discovered a major gap in the tools that engineers need to effectively build production grade applications using LLMs, and set out to solve this problem.\n\n### 🚀 Get Started\n\nAthina AI is a comprehensive suite of tools to supercharge your LLM development lifecycle and help you ship high-performing, reliable AI applications with confidence.\n\nHere’s how you can get started:\n\n* 🌟 Sign up for a free account at [app.athina.ai](https://bookface.ycombinator.com/knowledge/Eq-launch-yc#compose-your-launch-yc-post)\n* Log your inferences using [this guide](http://docs.athina.ai/logging/log_via_api).\n* Try our [open source evals](http://github.com/athina-ai/athina-evals).\n* [Schedule](https://cal.com/shiv-athina/30min) a call with us",
        "url": "https://www.ycombinator.com/launches/K6B-athina-ai-the-ultimate-monitoring-and-evaluation-platform-for-llm-developers",
        "votes": 28,
        "created_at": "2024-01-09T17:07:26.255Z"
      }
    ]
  },
  {
    "id": 27846,
    "name": "PoloTab",
    "slug": "polotab",
    "former_names": [
      "PoloPay",
      "Polo",
      "PoloPay",
      "Polo"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/125206d3d51ae1a0a9e8a0446836031dcecb557a.png",
    "website": "https://polotab.com",
    "all_locations": "Mexico City, CDMX, Mexico",
    "long_description": "The ecosystem coffee shops and restaurants in Mexico run on.\r\n\r\nFrom point of sale, to inventory management, payments and much more for the most demanding. \r\n\r\nOur tech is as user-friendly as an iPhone, yet powerful enough to power Starbucks. \r\n\r\nPoloTab is led by a team driven by the vision that things should be different, with the skills to make it happen. We were born from the food & beverage industry and are here to make a difference, not merely be part of the crowd.",
    "one_liner": "Restaurant software that actually works",
    "team_size": 18,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1673740327,
    "tags": [
      "SaaS",
      "Payments",
      "B2B",
      "Analytics",
      "Food Tech"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "Mexico",
      "Latin America"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/polotab",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/polotab.json",
    "year_founded": 2022,
    "city": "Mexico City",
    "country": "MX",
    "linkedin_url": "https://www.linkedin.com/company/81905131/admin/",
    "x_url": "",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/polopay",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/125206d3d51ae1a0a9e8a0446836031dcecb557a.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": null,
    "founders": [
      {
        "user_id": 961325,
        "full_name": "Andres Richardson",
        "title": "Founder",
        "founder_bio": "Co-Founder and COO at PoloPay (W23). Studied industrial engineering at the University of Michigan. Ex-Business Consultant. Enjoys playing and watching sports, traveling, and food.",
        "is_active": true,
        "linkedin_url": "http://www.linkedin.com/in/andres-richardson-41411a167",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c33731e5420344de5d69c0ebce4ff4f54fa198ee.jpg"
      },
      {
        "user_id": 432921,
        "full_name": "Juan Chomali",
        "title": "Founder",
        "founder_bio": "Co-Founder and CTO at Polo (W23). Chilean. Started coding at 12. Mechanical engineer and economist. Ex-Goldman. PNAS published author. Loves mountaineering and cooking.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jchomali",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/249c98b46e938865984b619e80c733ba9ddb4b4a.jpg"
      },
      {
        "user_id": 961294,
        "full_name": "Aldo Piaggio",
        "title": "Founder",
        "founder_bio": "Co-Founder and CEO at Polo (W23). I am a designer, an ex-Goldman Sachs IBD Analyst, and an industrial engineer from the University of Michigan. I love cigars, coffee, and LPs.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/aldo-piaggio-59227418b",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8820a2841b75bf6466eb2b9090656bdfcbb6fea7.jpg"
      }
    ],
    "jobs": [
      {
        "id": 88479,
        "title": "Sales & Business Development Representative",
        "url": "https://www.ycombinator.com/companies/polotab/jobs/nuykmZk-sales-business-development-representative",
        "location": "Mexico City, CDMX, MX / Mexico City, Mexico City, MX",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$15K - $72K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115427,
        "title": "Product Designer",
        "url": "https://www.ycombinator.com/companies/polotab/jobs/gmucbkK-product-designer",
        "location": "Mexico City, CDMX, MX / Mexico City, Mexico City, MX",
        "type": "Full-time",
        "role": "Design",
        "role_type": "Product design",
        "salary_range": "$1K - $5K / monthly",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizenship/visa not required",
        "skills": [
          "Figma",
          "Illustrator"
        ]
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 70252,
        "title": "🅿️PoloPay - Dynamic menus for LatAm restaurants and coffee shops",
        "tagline": "PoloPay is a dynamic menu, order and payment software for LatAm restaurants and coffee shops.",
        "body": "### ☕️**TL;DR:**\n\nPoloPay is a dynamic menu that allows guests to order food and drinks, split, tip, and pay the bill in seconds helping LatAm restaurants and coffee shops automate manual tasks and increase sales.\n\n![uploaded image](/media/?type=post&id=70252&key=user_uploads/961294/ea4d9bbb-cb80-4b59-92d7-cf405e76fe79)\n\n### 🌯**Founding Team**\n\nWe are Aldo, Andres, and Juan, the team behind PoloPay!\n\n[Aldo Piaggio](https://www.linkedin.com/in/aldo-piaggio-59227418b/) **(CEO)** is from Honduras, an Industrial Engineer from the University of Michigan with a minor in Economics, passed the CFA Level 1, an ex-Goldman Sachs IBD analyst, designs since the age of 14, and is the third-generation of a family involved in the food & beverage industry since 1972.\n\n[Andres Richardson](https://www.linkedin.com/in/andres-richardson-41411a167/) **(COO)** is from Mexico, a Summa Cum Laude Industrial Engineer from the University of Michigan, and an ex-business consultant whose work ranges from industrial production & logistics optimization to organizational restructuring in various industries.\n\n[Juan Chomali](https://www.linkedin.com/in/jchomali/) **(CTO)** is from Chile, creator of Boreal, the most downloaded and used Hacker News client for iPhone in 2016 until Apple took it down, a Mechanical Engineer and Economist from the University of Michigan, PNAS Co-Author, an ex-Goldman Sachs STRATS, and started coding at the age of 12. \n\n![uploaded image](/media/?type=post&id=70252&key=user_uploads/961294/ac91ccc3-b653-4211-8be3-a5f9f80943d9)\n\n### 👨🏼‍🍳**The “Why?”**\n\n**The dining experience** has been the same for decades. You sit down, stare at a menu, look around wondering what others at the venue like, and a few “Uhmmm”s later, staff comes around to take an order you are still not even sure about. Splitting and paying the bill is a tedious waiting game, and tipping staff is close enough to a math exam. **What could be done in a few seconds, takes several minutes.**\n\n**A coffee shop is no different**. Join the line and wait a few minutes until it's your turn to go “Uhmmm”, just like everyone before you. Finally you get to sit down, and start sipping. Did you just run out of that delicious matcha latte? Stand up, and wait on line again!\n\n**What’s frustrating for guests is wasteful for venues.** Restaurants, coffee shops, and hospitality venues alike have seen their margins shrink well before covid, especially small and medium venues. They operate in an industry where costs are highly volatile, staff turnover rate is a staggering 75% (higher than any other industry), and guest preferences are quickly changing. \n\nResources are limited, especially for these venues. **So how does PoloPay help?**\n\n### 🫗**Our approach**\n\nWe built an easy-to-use tool that **restaurants love**. PoloPay improves how teams and staff manage their menus, fulfill orders, and collect payments. \n\n**To help venues sell more,** our QR codes expose guests to beautiful pictures of dishes and the perfect drink pairing. PoloPay makes it as easy as possible to order that next dirty martini while giving staff a breather during peak hours; eliminating unattended parties and decreasing checkout times to seconds. **We seek to perfectly complement the warmth of hospitality.**\n\n![uploaded image](/media/?type=post&id=70252&key=user_uploads/961294/f79e41b8-9451-48d3-90f1-863eadda2878)\n\n**Are costs increasing?** Venues can adjust menu prices or food offerings, instantly charge for them, and forget the need to spend on reprints or waiting for new menus to arrive. **PoloPay also leverages data** to help capture guests' preferences, identify new areas of opportunity, and surprise guests on their next visit. Automatic language translations, powerful availability and pricing scheduling, 86-ing, and in-menu promos are a few other reasons why chefs, staff, and owners love us.\n\n![uploaded image](/media/?type=post&id=70252&key=user_uploads/961294/4d22eff1-056e-4079-a89d-0f201144c2a4)\n\nBeautiful experiences are at the core of what we build. We aim to grant guests a seamless experience and give much-needed control back to restaurant teams. We are not “X for LatAm”, **we are PoloPay**.\n\n### 🍽️**Our ask**\n\nIf you, or someone you might know, manages a restaurant or coffee shop, [reach out!](https://polopay.co/demo) **We would love to start working with your venue and would appreciate any warm intros too.** [Sign up](https://polopay.co/demo) before April 1st and enjoy a 50% discount during your first two months!",
        "url": "https://www.ycombinator.com/launches/IH6-polopay-dynamic-menus-for-latam-restaurants-and-coffee-shops",
        "votes": 498,
        "created_at": "2023-03-14T00:58:35.798Z"
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    "id": 27854,
    "name": "Suger",
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    "website": "https://www.suger.io/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "The cloud marketplaces on AWS, Azure, and GCP have become the App Store for B2B software products. It’s growing close to 100% year-over-year since it gives software sellers access to cloud budgets and makes procurement 40% faster. The core problem is the cloud marketplace is hard to navigate and requires an upfront technical investment without knowing the expected ROI. Suger eliminates the need to reinvent the wheel with your own engineering resource or spend a fortune on consulting-based solutions. ",
    "one_liner": "Salesforce for Cloud marketplaces on AWS, Azure, GCP",
    "team_size": 50,
    "industry": "B2B",
    "subindustry": "B2B -> Sales",
    "launched_at": 1671144584,
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    "url": "https://www.ycombinator.com/companies/suger",
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    "city": "San Francisco",
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      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
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        "full_name": "Chengjun Yuan",
        "title": "Founder",
        "founder_bio": "ex-Google, FB & Confluent",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/chengjunyuan/",
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        "full_name": "Jon Yoo",
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        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jongwoo-yoo-4861439a/",
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        "title": "Suger helps companies list and scale up on cloud marketplaces | TechCrunch",
        "url": "https://techcrunch.com/2025/02/12/suger-helps-companies-list-and-scale-up-on-cloud-marketplaces/",
        "date": "Feb 12, 2025"
      },
      {
        "title": "Seed Funding | Suger",
        "url": "https://www.suger.io/blog/seed-funding/",
        "date": "Nov 16, 2023"
      },
      {
        "title": "Suger Raises $3.5M in Funding to Propel Growth in Cloud Marketplaces - Intel Capital",
        "url": "https://www.intelcapital.com/suger-raises-3-5m-in-funding-to-propel-growth-in-cloud-marketplaces/",
        "date": "Nov 16, 2023"
      },
      {
        "title": "Our favorite startups from YC’s Winter 2023 Demo Day — Part 2 | TechCrunch",
        "url": "https://techcrunch.com/2023/04/06/y-combinator-demo-day-2023-favorites-part-two/",
        "date": "Apr 06, 2023"
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    "name": "Haven",
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    "website": "https://www.usehaven.ai/",
    "all_locations": "New York City, NY, USA",
    "long_description": "Haven is building AI Agents to automate property management operations. Our first Agent is automating the maintenance coordination process. This means answering the phone when tenants have a maintenance issue, diagnosing the issue, dispatching a technician, and then following up with tenants to make sure the issue is resolved.\r\n",
    "one_liner": "AI workforce for property management",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1680268835,
    "tags": [
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      "Real Estate",
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    "url": "https://www.ycombinator.com/companies/haven-2",
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    "year_founded": 2022,
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      "url": "https://www.ycombinator.com/people/harj-taggar"
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        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/haven-2/jobs/MUGkU8h-founding-engineer",
        "location": "New York, NY, US",
        "type": "Full-time",
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        "equity_range": "1.00% - 2.00%",
        "experience": "3+ years",
        "visa": "Will sponsor",
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    "id": 27858,
    "name": "Kivo Health",
    "slug": "kivo-health",
    "former_names": [
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      "Inc."
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    "website": "https://kivohealth.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Kivo Health provides AI-powered virtual care for seniors with chronic disease, starting with lung care. We keep people out of the hospital and save payers $8k+ on average per patient. We work with major health systems like Stanford, UCLA and Optum Health. We just raised our $10M Series A and are growing quickly.",
    "one_liner": "AI-powered care for seniors with chronic disease",
    "team_size": 40,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Healthcare Services",
    "launched_at": 1675703099,
    "tags": [
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      "Telehealth",
      "Digital Health",
      "Healthcare"
    ],
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    "isHiring": true,
    "nonprofit": false,
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    "stage": "Growth",
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        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "Pulmonary rehab is the gold standard for non-pharma treatment of COPD and other lung diseases. However, only 3% of eligible patients are getting this life-changing therapy, because they can’t access it: they live too far away from a rehab center, or just can’t get there in person without help. We founded Kivo Health to solve this access problem, by delivering rehab to patients over live video."
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    "url": "https://www.ycombinator.com/companies/kivo-health",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/kivo-health.json",
    "year_founded": 2021,
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    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/kivo-health/",
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    "fb_url": "https://www.facebook.com/kivohealth",
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      "url": "https://www.ycombinator.com/people/tom-blomfield"
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        "user_id": 1173569,
        "full_name": "Victor Sadauskas",
        "title": "Founder",
        "founder_bio": "I'm building Kivo Health - AI-powered virtual care for chronic lung disease. I finished medical residency at Stanford and have seen firsthand how poor access to care can lead to higher acuity illness over time. I'm passionate about using technology to help people stay healthier while reducing healthcare costs.",
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        "full_name": "Vaughn Koch",
        "title": "Founder/CTO",
        "founder_bio": "I'm building Kivo Health: we provide telehealth lung rehab for COPD patients. We just raised our $10m Series A.\n\nI'm a serial founder and technologist. I founded Movity in W2010 which exited to Trulia, and have built key tech at both startups and larger companies.",
        "is_active": true,
        "linkedin_url": "http://linkedin.com/in/vaughnkoch",
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      {
        "id": 100517,
        "title": "Senior Engineer",
        "url": "https://www.ycombinator.com/companies/kivo-health/jobs/2dlgyZO-senior-engineer",
        "location": "Seattle",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$200K - $260K",
        "equity_range": "0.15% - 0.25%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
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          "Python",
          "React",
          "React Native",
          "TypeScript",
          "LLMs",
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      },
      {
        "id": 101225,
        "title": "Full-Stack Engineer",
        "url": "https://www.ycombinator.com/companies/kivo-health/jobs/L6oQv63-full-stack-engineer",
        "location": "Seattle",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$160K - $220K",
        "equity_range": "0.10% - 0.15%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
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          "React",
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      {
        "id": 69058,
        "title": "Kivo Health - Telehealth lung rehab",
        "tagline": "We treat chronic lung disease patients with rehab over live video.",
        "body": "Hey YC, we're Vaughn and Victor, and we're excited to announce the public launch of [Kivo Health](https://kivohealth.com?utm_source=launch_yc&utm_medium=post&utm_id=launch&utm_content=toplink)!\n\n![uploaded image](/media/?type=post&id=69058&key=user_uploads/29150/dd09bb20-ff16-41d8-ac17-e02af5f068d4)\n\n![uploaded image](/media/?type=post&id=69058&key=user_uploads/29150/e395a0d4-305a-4d2c-b658-213602df0192)\n\n**We treat chronic lung disease with rehab over Zoom.** We offer an 8-week remote program that keeps people out of the hospital, and can save payers $6,000 per patient by reducing hospital stays.\n\n# How we help\n\nChronic lung disease affects 16M people in the US, resulting in $50B in annual spend due to recurrent hospitalizations.\n\nPulmonary rehab (PR) is like physical rehab for your lungs. It includes guided exercise, breathing techniques, and a full education program which teaches people to manage their lung condition.\n\nPR has strong clinical evidence: it can improve clinical outcomes, reduce hospital bed-days by 62%, save payers between $6-10k for every patient, and help patients feel better.\n\n![uploaded image](/media/?type=post&id=69058&key=user_uploads/29150/5bfdd176-ce16-4965-a9e6-82a8a5d7e4e9)\n\nThis life changing therapy has been around for decades, but tragically only 3% of eligible patients are getting it. Why? Access.\n\nOften, people with COPD or other lung disease find it challenging to walk up a flight of stairs. Traveling 30-45 minutes to a PR center twice a week is a lot harder, especially for people without transport or the ability to pay for gas and parking.\n\n**Kivo Health solves access by providing telehealth PR**, so patients can be treated comfortably at home.\n\n# **How it works**\n\nWe ship people our Kivo Kit, which has a cell-connected iPad, a Bluetooth pulse oximeter, and exercise equipment.\n\n![uploaded image](/media/?type=post&id=69058&key=user_uploads/29150/dd5cd6c7-0ead-424b-aa90-b30c62bedc77)\n\nPatients join live video sessions twice a week for 2 months, with one of our talented respiratory therapists.\n\nDuring the sessions, our therapists are:\n\n* Monitoring our patients with realtime pulse oximetry\n* Improving their lung function with exercise\n* Teaching them breathing techniques, inhaler use, and a lot of other key lessons.\n\n# **Wins**\n\nWe're building Kivo to help patients get access to pulmonary rehab. But it's the stories that make us feel great about what we're doing. Here's a few examples.\n\n1\\. One patient told us that she'd been using her inhaler wrong for over 20 years, until she learned proper technique from Kivo.\n\n2\\. Another patient told us that she loved Kivo so much, she wrote a letter to her pulmonologist telling him that he should refer all of his patients to our program.\n\n3\\. During our first cohort, we had a patient that was feeling the signs of a lung exacerbation one day. These are dangerous because people often end up in the ER, or even full hospitalization (which costs $19k on average!). Because she had learned from Kivo how to recognize the signs of an exacerbation, she immediately got a course of steroids from her doctor and felt better quickly. This could have made the difference between a hospital visit and relaxing at home.\n\n# **How you can help**\n\n* If you have a family member or friend with COPD or other lung disease, tell them about [Kivo Health](https://kivohealth.com?utm_source=launch_yc&utm_medium=post&utm_id=launch&utm_content=asks)! Note - patients need to be referred by their physician.\n* Also, we'd appreciate any intros to pulmonologists - email us at [hello@kivohealth.com](mailto:hello@kivohealth.com).\n\nMuch love, **Victor and Vaughn**\n\n![uploaded image](/media/?type=post&id=69058&key=user_uploads/29150/4d3d690e-3fe6-4ba3-bdd3-96c5597d68ed)\n\n# **Where to find us**\n\n![uploaded image](/media/?type=post&id=69058&key=user_uploads/29150/d07c5bf9-fae7-4973-8470-a13db1e96cec)\n\nWeb: <https://kivohealth.com>\n\nEmail: [hello@kivohealth.com](mailto:hello@kivohealth.com)\n\n[Twitter](https://twitter.com/kivohealth)\n\n[Facebook](https://facebook.com/kivohealth)\n\n[LinkedIn](https://www.linkedin.com/company/kivo-health/)",
        "url": "https://www.ycombinator.com/launches/Hxq-kivo-health-telehealth-lung-rehab",
        "votes": 40,
        "created_at": "2023-02-06T18:03:52.870Z"
      }
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    "id": 27874,
    "name": "Relace",
    "slug": "relace",
    "former_names": [
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c83e10451bd21c42a36788ca979818d811eb4cad.png",
    "website": "https://relace.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Relace makes it easy to deploy production-ready coding agents. Our models are co-optimized with infrastructure to achieve SoTA performance: 10k+ token/s code merging and retrieval across million-line repositories in seconds.",
    "one_liner": "Models and infra for coding agents",
    "team_size": 7,
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        "body": "Hey everyone 👋 -- we're Preston and Eitan, the cofounders of [Relace](https://relace.ai).\n\n**TL;DR:**\n\nRelace models are designed to slot naturally into most AI codegen products, making them faster, cheaper, and more reliable. We already have SOTA:\n\n* Embedding + Code Reranker models to retreive the relevant context from million-line codebases in \\~1-2s.\n* Instant Apply model that merges code snippets at &gt;4300 tok/s.\n\nWe're in production with **Lovable**, **Magic Patterns**, **Codebuff**, **Create**, **Tempo Labs**, and 20+ other AI codegen startups. Watch our Instant Apply model race against full file rewriting with Claude 3.7 Sonnet:\n\nhttps://www.youtube.com/watch?v=J0-oYyozUZw\n\n**Problem:**\n\nAgentic coding systems are easy to prototype, but hard to make robust. As users succeed at creating more complex designs/applications, you hit bottlenecks:\n\n* Larger codebases require efficient context management -- you can't pass everything to the AI agent.\n* Slow and expensive full file rewrites need to be replaced with abbreviated diff formats.\n\nFrontier models (like Claude 3.7, o3, etc.) are powerful, but overkill for these auxiliary functions like retrieval and merging. Costs start to add up, especially when every agent action hits an API with thousands of tokens in and out. Plus, non-technical users are easily frustrated by high latency, especially if they are trying to refine small aspects of the code they created.\n\n**Solution:**\n\nRelace models are trained to achieve order-of-magnitude improvements in both latency and cost without compromising on accuracy.\n\n_Instant Apply_\n\nReleased in February, this model merges semantic code snippets at 4,300 tokens/sec with an average end-to-end latency of \\~900ms across our users.\n\n![uploaded image](/media/?type=post&id=90339&key=user_uploads/1187298/38144690-e758-43dd-b591-be0481a47c33)\n\nInspired by Cursor's Fast Apply, the semantic diff format is chosen to be natural for all models to output. A simple prompt change combined with Instant Apply can reduce Claude 3.5/3.7 token usage by \\~40%.\n\nWe train on hundreds of thousands of code merges across dozens of different coding languages to achieve SOTA accuracy:\n\n![uploaded image](/media/?type=post&id=90339&key=user_uploads/1187298/3ed1d45b-1f70-4cc2-836e-d7c4a3dae817)\n\n_Embeddings and Reranker_\n\nOur embedding model + reranker can determine the relevance score for a user request against million-line codebases in \\~1-2s. By training on hundreds of thousands of query/code pairs, we can effectively filter out irrelevant files and cut input token usage by over 50%.\n\n![uploaded image](/media/?type=post&id=90339&key=user_uploads/1187298/884ed0af-04c3-49e1-a92b-7e53ca81ad1b)\n\nNot only does this save on cost, but cleaning up the context window significantly improves generation quality of the AI agent.\n\n**Try It Out:**\n\nBoth of these models are battle tested and running millions of times a week in production. You can read more and try it out for yourself with the links below.\n\nApp: [https://app.relace.ai](https://app.relace.ai%5C) Docs: https://docs.relace.ai\n\nWe have a free tier for small projects, and we offer discounted rates for open source partners like our friends at Continue.\n\nDon't hesitate to reach out if you're optimizing your coding agent — we would love to hear your thoughts, feedback, and what you're building!",
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        "full_name": "Nick Gomez",
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        "full_name": "Robert Tran",
        "title": "Founder",
        "founder_bio": "Robert Tran is a cofounder of inkeep. He studied CS & Math at MIT and has an extensive background in tech, including working with government, political organizations, financial firms, and logistics companies. Previously, Robert was an early employee then Head of Engineering at illumis — building software to aggregate thousands of public data sources that are locked in silos. illumis was acquired by ComplySci. Outside of inkeep, Robert is passionate about film & writing.",
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        "url": "https://www.forbes.com/sites/zoyahasan/2025/09/05/this-startup-just-raised-13-million-to-make-ai-agents-easy-for-any-team/",
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      {
        "id": 85650,
        "title": "Inkeep - AI support you can trust",
        "tagline": "All the AI tools you need to scale support - without losing the human touch",
        "body": "Hi everyone, we’re Nick and Robert - co-founders of [Inkeep](https://inkeep.com/).\n\n### TL;DR\n\nAs founders, we know that fast, quality support helps great products stand out.\n\nInkeep accelerates every step of support with:\n\n🔍 An AI assistant for end-users\n\n🎧 A copilot for support teams\n\n📚 Tools to fix content gaps\n\nInkeep works with any docs or support platform; see our [showcase](https://inkeep.com/showcase?example=anthropic&tab=aiForCustomers) for examples.\n\n![uploaded image](/media/?type=post&id=85650&key=user_uploads/1161446/2fab07e8-72a9-4e56-9fb9-e14f38f411c6)\n\n### Problem: today’s tools focus too much on automation\n\nUsers of modern products expect two things:\n\n(1) great self-serve experiences\n\n(2) fast human help when they need it\n\nAI support solutions often forget about this and end up feeling like a barrier to getting “real” help. \n\n### Solution - AI that builds trust\n\nOur approach is simple: build practical tools for every step of the support process with the end-user as the #1 priority.\n\n**Assistant for users**\n\nInkeep taps into your docs, help center, and other content to provide direct answers to user questions. Our assistant cites its sources, **admits when it doesn’t know**, and hands off to your support channels.\n\n![uploaded image](/media/?type=post&id=85650&key=user_uploads/1161446/66cc6667-df67-4209-baa3-6ea0e6b38fd3)\n\n**Copilot for support teams**\n\nWhen your support team needs to step in, our CX copilot:\n\n✍️ Drafts detailed answers\n\n🔗 Links to relevant docs and past tickets\n\n⚡ Summarizes long tickets \n\n🔔 Suggests to-dos and next steps\n\n[Demo:](https://youtu.be/4_yEpMkdua4)\n\n**Tools to fix content gaps**\n\nThe #1 way to improve support over time is to improve your content (or product).\\\nInkeep helps close that loop with:\n\n1. [AI reports](https://docs.inkeep.com/analytics/reports) that pinpoint and prioritize gaps in your content.\n2. A [Ticket to FAQ](https://go.inkeep.com/ticket-into-faq) tool to create new content from closed tickets.\n\n![uploaded image](/media/?type=post&id=85650&key=user_uploads/1161446/2a81cc6c-821f-4853-8630-a831a5144135)\n\n### **🙏 Our Ask**\n\n* Want to try an AI assistant powered by your content? Get a [self-serve demo](https://inkeep.com/demo?cta_id=yc_launch).\n* Thinking about adding AI to your entire support workflow? [Schedule a call](https://inkeep.com/demo?cta_id=pricing_enterprise_demo_cta).\n\nSocials: [LinkedIn](https://www.linkedin.com/company/inkeep), [𝕏.](https://x.com/inkeep_ai)",
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        "id": 69837,
        "title": "Inkeep - Conversational search for your developer product 💬🔍",
        "tagline": "Help developers do more with your product, faster.",
        "body": "> tl;dr: [Inkeep](https://www.inkeep.com/?utm_campaign=yc) provides conversational search for developer-focused companies. We use LLMs to understand a company’s docs, GitHub issues, Stack Overflow questions, and more to answer developer questions and increase customer activation.\n\n### **Our Team:**\n\nHi YC, we’re [Robert Tran](https://www.linkedin.com/in/robert-tran-profile/) and [Nick Gomez](https://www.linkedin.com/in/edwinngomez/) from Inkeep!\n\n![uploaded image](/media/?type=post&id=69837&key=user_uploads/1161457/4cbbe838-fb40-4508-89aa-8713f83d7755)\n\nWe met eight years ago at MIT as undergrads. After MIT, Nick was a Senior Product Manager working on developer experiences for Microsoft’s identity products. Robert was Head of Engineering at illlumis (acquired), building large-scale data aggregation pipelines for public datasets.\n\nWith years of experience building developer-focused products, we are excited to build Inkeep.\n\n### **Problem:** Any blocker or unanswered question is a drop-off point\n\nDevelopers evaluate a product by how easy it is to get started and use it for their use case. Optimizing this experience is the #1 goal for many developer-focused companies, but it’s hard to do well because:\n\n* Knowledge about the product is scattered across docs, GitHub issues, Stack Overflow, forums, private communities, and more.\n* Answering technical issues and questions at scale is hard.\n* Developers often prefer to self-troubleshoot.\n\n### **Solution:** Conversational search powered by all your existing content\n\n[Inkeep](https://www.inkeep.com/?utm_campaign=yc) automatically indexes all of a developer tool company’s content with zero effort required. We use fine-tuned LLMs that fully understand your product to power search and chat experiences tailored for developers.\n\nInkeep is embeddable as a:\n\n* Search bar for your docs\n* Chat widget for your app or landing page\n* Slack or Discord bot for your community\n\nYour developers can search or ask anything and get answers immediately. And you’ll be able to get insights on what they're getting stuck on.\n\n![uploaded image](/media/?type=post&id=69837&key=user_uploads/1161457/41100239-1ce3-4e5a-8349-4294e24a237d)\n\n\n### **Our asks:**\n\n* Interested in adding Inkeep to your developer product? We’d love to [show you a demo](https://calendly.com/nickgomez/inkeep-demo-20mins).\n* Connect us with folks who are obsessed with developer experience & activation.\n\nGet in touch at: [founders@inkeep.com](mailto:founders@inkeep.com) \\\nLearn more at: [Inkeep.com](https://www.inkeep.com/?utm_campaign=yc)",
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        "title": "Senior Software Engineer",
        "url": "https://www.ycombinator.com/companies/truewind/jobs/JCUv5Qg-senior-software-engineer",
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        "url": "https://www.ycombinator.com/companies/truewind/jobs/lwqSR2W-product-infrastructure-engineer-data-agent-systems",
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        "url": "https://www.ycombinator.com/companies/truewind/jobs/0naXaQ1-staff-software-engineer",
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        "title": "Senior Software Engineer - Backend & Agent Platform",
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        "date": "Dec 11, 2024"
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      {
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        "url": "https://www.axios.com/pro/fintech-deals/2024/01/19/thomson-reuters-accounting-ai-truewind",
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        "date": "Sep 18, 2023"
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      {
        "title": "AI Startup Founders Share the Top 3 Lessons Learned From Y Combinator",
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      {
        "id": 80520,
        "title": "⛵️ Truewind: AI-powered Accounting",
        "tagline": "Bringing generative AI to power accounting workflow automation",
        "body": "**Truewind is designed for accountants**\n\nTruewind is helping accounting firms increase the profits of their CAS practice. The solution that has helped over a hundred companies with their month-end close is now available for accounting firms and internal accounting teams.\n\n## **Introducing the next-generation AI-powered accounting solution**\n\nHow does an “AI-powered” accounting solution improve your current operations?\n\n**With the power of LLMs, you are able to:**\n\n* Auto-classify bank and credit card transactions with >90% accuracy\n* Identify accrual entries and auto-create a work paper in 1-click\n* Collect supporting documentation automatically with 0 intervention\n* Match supporting documentation to your accounting journal entries\n\nThink of Truewind as a **_digital accountant._** A digital accountant that does the repetitive work of categorizing transactions, finding supporting documentation, and closing the month-end books. A digital accountant that works while you sleep.\n\n![](https://bookface.ycombinator.com/media/?type=post&id=80520&key=user_uploads/391490/6cbbea13-2d87-450a-a42a-1fdb6484d02e)\n\n## **Most alternatives are service providers that are prone to manual errors and overhead costs**\n\nThere are many vendors that help startups with bookkeeping and accounting. These service companies are easy to start because, in the background, they have an army of operational staff who **manually** enter your data into an accounting system.\n\nIf the transaction is missing an invoice or receipt, they will **manually** follow up with you for that document. Accrual journal entries are **manually** tracked in an Excel sheet and **manually** updated monthly. Lastly, reports are **manually downloaded** and shipped to you for review.\n\nWhy is this problematic? The **manual**\\-intensive process is an error-prone one. The Excel file below is an example of how they manage this; now multiply this by 100 rows and 20 tabs. Maybe they get it right as high as 99% of the time. But inevitably, with humans **manually** going back and forth between Excel tabs and traditional legacy systems, it’s never going to be 100%.\n\n![](https://bookface.ycombinator.com/media/?type=post&id=80520&key=user_uploads/391490/8992ac60-7524-4111-83de-b92a2ca382f1)\n\n## **Month-End Close Powered by AI**\n\nTruewind helps accountants close their books faster without the administrative overhead costs that come with most month-end close management solutions.\n\nTraditional month-end close solutions’ is a checklist. Accountants dislike these solutions because they add administrative workload. Accountants track their month-end checklist in Excel or Google Sheets because it works, but because their company decided to purchase a month-end close software, they have to **manually** move their checklist into the software each month.\n\nTruewind is different in that we _actually do the work for you_. Truewind is a **_digital accountant_** that does the journal entry work while you rest. Each day, you get into the office with your morning queue of work prepared for you to review.\n\n![uploaded image](/media/?type=post&id=80520&key=user_uploads/391490/5b2c1d58-32c4-4d82-807c-468aa2ec6981)\n\n**Here are just a few examples:**\n\n* The AI model is trained on your client’s historical data so that bank and credit card transactions can be **auto-classified** to the correct account, payee, and department\n* By studying historical patterns, Truewind identifies prepaid expenses and **auto-capitalizes** the transaction as an asset. Each month, we **auto-update** the work paper and write the journal entry\n* By studying historical patterns, Truewind identifies and recognizes an accrued expense even though an invoice or payment is missing; when it arrives next month, we **auto-adjust** the journal entries\n* Rather than manually searching for supporting documentation, our integrated AI agents **auto-identify** the supporting documentation that is tied to each journal entry and transaction\n\n## **Visit us at AICPA Engage 24 - Silver Sponsors**\n\nIn addition to this product launch, I’m excited to announce that Truewind is a Silver Sponsor of the AICPA CIMA Engage 24 Conference 💎\n\nAICPA & CIMA Engage is the largest gathering of accountants and finance professionals in North America, with close to 4,000 attendees. And we are thrilled to be a Silver Sponsor for this event. In the coming weeks, we will post about how Truewind helps accounting firms and internal accounting teams close the books closer and get their life back.\n\nWe have many fun activities and talks planned. Follow us on [**LinkedIn**](https://www.linkedin.com/company/truewindai/) & [**Twitter**](https://twitter.com/truewindai/) to stay tuned for more.\n\n![uploaded image](/media/?type=post&id=80520&key=user_uploads/391490/1da64d47-c89b-4171-b484-2b7ea7df06ee)\n\n## **How to learn more and sign up**\n\nAll of these capabilities are available today for our early accounting firm partners and will be available broadly on June 1, 2024. Our accounting firm partners include fast-growing boutique firms and top 50 national firms.\n\nWe have room for 2-3 more accounting firms in our May onboarding batch. Then, in early June, we will be showcasing this and more at the Engage 24 conference.\n\n**If you’d like to see a live demo and potentially sign up:**\n\n1. **Fill out this **[**Tally form**](https://tally.so/r/3qA68k)** or**\n2. **Email** [**launchyc@trytruewind.com**](mailto:launchyc@trytruewind.com)\n\n## **Made with 💛 from our team**\n\nUnfortunately, Mochi 🐶 didn’t make this photo. During our Launch YC a year ago, Truewind was a team of three. Today, we’re 15 strong with over a hundred customers, including multiple top 50 accounting firms. From our team to everyone - Thank you to the many startups and accounting firms we get to work with day in and day out. We look forward to meeting many more of you.\n\n![](https://bookface.ycombinator.com/media/?type=post&id=80520&key=user_uploads/391490/c033be10-ba6d-4be4-bd50-045a6052e405)\n\n",
        "url": "https://www.ycombinator.com/launches/Kwi-truewind-ai-powered-accounting",
        "votes": 117,
        "created_at": "2024-04-30T16:34:41.677Z"
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      {
        "id": 69622,
        "title": "⛵️ Truewind: AI-powered bookkeeping and finance software for startups",
        "tagline": "Fast growing companies use our AI-bot to automate transaction labeling so they see fewer errors and faster monthly closes.",
        "body": "Let's get down to brass tacks. You need **bookkeeping to stay compliant** with Uncle Sam 🇺🇸 and you need a **financial model for fundraising**. That's what you need. And that's what we do for you.\n\nOn a lighter note, hey everyone! 👋\n\n### **What we do for you**\n\nI’m super excited to launch [**Truewind**](https://www.truewind.ai/) to all of you! **⛵️ Truewind is AI-powered Bookkeeping and Financial Modeling for Startups**\n\nThrough a combination of generative AI and concierge service, we deliver a delightful financial back office experience.\n\n* Reliable bookkeeping\n* Detailed financial models\n* Built exclusively for startups\n* Fast, responsive expertise\n\nBecause you need investor-ready financials. Your dedicated Truewind team prepares your monthly financial statements reliably and accurately, so you have investor-ready financials when you fundraise.\n\n![uploaded image](/media/?type=post&id=69622&key=user_uploads/391490/1f76d30b-864d-4cb1-a600-223fc9065871)\n\n### **We use Generative AI to capture the business context that only you have**\n\nWe are **delivering a 10x better experience to you, the operator**, by making it easier to provide business context.\n\n* We connect to your bank account and then auto-categorize the transactions that we recognize.\n* For the ones we don’t, we’ll send you a message notifying you that we do not recognize this transaction. You reply in **plain simple English** and we’ll handle the rest.\n* For accrual accounting, upload contracts and invoices on Truewind and our software will read those pdf files.\n* If we’re missing information, say we don’t know the duration, we’ll send you a message that we need more information. You reply in **plain simple English** that the duration is 12 months.\n\nFinance and accounting isn’t simply numbers, **it requires business context that only the operators have.** This is where Generative AI shines. We use GPT-3 to digest your natural language inputs, translate it into accounting journal entries, and learn from it so future journal entries can be automated.\n\n### **Most accounting & finance companies are service providers, prone to manual errors**\n\nThere are many vendors that help startups with bookkeeping and financial models. These services companies are easy to start because, in the background, they aren’t building **reliable** accounting and finance software.\n\nThese service providers have armies of operations staff who **manually** enter your data into an accounting system. Then, they **manually** download reports and ship it to you for review.\n\nWhen they don’t recognize a transaction, they ask _you_ to **manually** categorize the data. Then, next month, they’ll ask you to **manually recategorize** the same transaction. Without native accounting and finance software, they do not remember and learn from previous inputs.\n\nWhy is this service provider approach problematic for your company?\n\n**Service providers are error prone.**\n\nLet’s say a wire of $16K comes into your bank account but the memo says `[Online 13875836747 To Jayson (_########62846)]`\n\nWe don’t know what it is, nor do other accounting companies. So you, **the operator**, has to go thru a drop down of 50 items with words you barely understand and you’re expected to figure out what it should be categorized as. Half the time, you just pick something and move on 👎\n\n![uploaded image](https://bookface.ycombinator.com/media/?type=post&id=69622&key=user_uploads/391490/675a6b16-8efd-4ad7-bd94-61144b3ce66d)\n\n### **Our ask**\n\nIf you haven’t picked up a bookkeeping solution yet, give us a chance at winning your business! And even if you already did, give us a chance to change your mind 😆\n\n**Help us become the #1 recommended financial back-office provider for startups 🔥**\n\n**Truewind Customer Form:** <https://form.typeform.com/to/SrleFO1U>\n\nFill out this Typeform to get started with me, Alex. I’ll answer any questions you have on the call, get you onboarded, and even start on the financial model!\n\n### **Our Customers**\n\nYour finances are a delicate thing, I know. Many other fast-growing startups already work with us (listed below). Hopefully this gives you some confidence 🙂 Many of them YC, many of them not, and many of them current batchmates!\n\n![uploaded image](/media/?type=post&id=69622&key=user_uploads/391490/216923c2-b785-4af4-9414-d46873d95f67)\n\n### **A little bit about us and Mochi**\n\nIt feels weird introducing ourselves in a product launch but given we’ll be working with your financial data, I thought you should know about us.\n\n* I’m a second-time YC founder, ex-Boeing engineer, and ex-VC. As an ex-VC, I worked very closely with startup financial statements and I could build a financial model in my sleep.\n* My co-founder Tennison took a whirlwind of a journey: studying business in school → self taught developer → worked at Flexport Pinterest Alibaba → and now building a fintech startup\n* Mochi is our 2-year old Samoyed pup and the chief motivating officer. Kiddo doesn’t understand fiscal responsibility, all he wants is the best organic food.\n\n![uploaded image](https://bookface.ycombinator.com/media/?type=post&id=69622&key=user_uploads/391490/4837a8f8-f03f-4543-9d54-ab438664be98)\n\n### **Hit us up if we can help you!**\n\nWe published a **Y Combinator W23 Generative AI Landscape** on LinkedIn that has over 800K views - [check it out here](https://www.linkedin.com/posts/alexlee611_ai-startup-generativeai-activity-7033871151416164352-mMeR?utm_source=share&utm_medium=member_desktop).\n\nWe love working with founders, accountants, and finance leaders, so pls don’t be shy. Mochi would love to meet you 😁\n\n![uploaded image](https://bookface.ycombinator.com/media/?type=post&id=69622&key=user_uploads/391490/7af98c54-b696-4df4-b34f-5f15b55694cd)\n\n",
        "url": "https://www.ycombinator.com/launches/I6w-truewind-ai-powered-bookkeeping-and-finance-software-for-startups",
        "votes": 234,
        "created_at": "2023-02-23T21:26:20.125Z"
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    "all_locations": "Philadelphia, PA, USA; New York, NY, USA",
    "long_description": "Orchid is an AI-powered Electronic Health Record (EHR) for independent mental health professionals that saves them time, money, and frustration by integrating core administrative workflows, streamlining clinical processes, and automating manual flows.",
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    "team_size": 4,
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        "title": "Senior Backend Engineer",
        "url": "https://www.ycombinator.com/companies/orchid/jobs/No4g3BG-senior-backend-engineer",
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        "url": "https://www.hcinnovationgroup.com/analytics-ai/generative-ai/article/55248056/ehr-startup-targets-mental-health-clinicians-with-ai-scribe-technology",
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    "launches": [
      {
        "id": 69725,
        "title": "Orchid – The most efficient EHR for independent mental health professionals",
        "tagline": "We help mental health professionals automate and streamline their admin workflows.",
        "body": "### **Tl;dr:** _[_Orchid_](https://orchid.health) is an Electronic Health Record (EHR) for independent mental health professionals that saves clinicians’ time, money, and frustration. We do this by integrating core administrative workflows, streamlining clinical processes, and automating manual flows. Altogether, Orchid practitioners reclaim \\~500+ hours of their time spent on administrative work, with the potential to save $11B in healthcare costs annually._\n\n### _Would you or anyone in your network be interested in learning more or helping out? [**Connect with us**](mailto:founders@orchid.health)_\n\n \n\n### **The Problem** \n\nDid you know that **mental health professionals** spend more time on their EHR than they do with their patients? In fact, they **lose 500 hours a year** by clicking around terrible infrastructure and as a result the **healthcare industry loses $11 billion annually**.\n\nMental health clinicians face the following set of challenges:\n\n1. Subpar EHR solutions cost mental health clinicians \\~1,500 hours/year\n2. This admin time detracts from time spent with patients, translating into $10,000+ of lost revenue per clinician\n3. Lost revenue and less time with patients leads to stress and ultimately to clinician burnout \n\nNo wonder it’s so hard to find a therapist these days, and it all starts with clunky software! \n\nAt Orchid we believe the path to helping those seeking mental health care runs through helping mental health clinicians. We need to figure out an affordable way to buy back the time of these mental health professionals because every hour wasted is an hour not spent addressing the mountain of unmet demand in this market and results in billions wasted for our healthcare industry. \n\n### **The Solution**\n\nEnter Orchid. **We are an affordable EHR that seamlessly integrates the core functions of running a mental healthcare practice.** \n\nImagine an all-in-one platform that automates scheduling, billing, insurance credentialing, analytics, telehealth, and note-taking. By doing this **we reclaim 500 hours of each provider annually, and we potentially save the healthcare industry 11 billion dollars**. \n\nOrchid not only helps clinicians improve the mental health outcomes of their patients but also alleviates the supply-demand imbalance in the mental healthcare market by enabling clinicians to spend more time both onboarding new patients and focusing on their current patient roster.\n\n**Read what Orchid subscribers are saying about how Orchid reduces their admin work**:\n\n![uploaded image](/media/?type=post&id=69725&key=user_uploads/1179470/fddba9d9-d1b1-42f8-859c-c0ec794570c7)\n\n\n### **Make the world a better place**\n\n**If you or anyone in your network might be interested in learning more or helping out, we would love to chat.**  We're especially interested in talking with:\n\n* **Health insurance companies (payors)**, especially those interested in expanding their mental health offerings, in increasing their members’ access to mental healthcare, in decreasing their costs through efficient operations, and in improving their quality of care. **We have hundreds of vetted clinicians implementing measurement-based care.**\n* **Independent mental health professionals**: therapists, social workers, psychologists, and psychiatrists, even if they’re currently not in the market for a new EHR. You can also ask them to [sign up for a quick 15-minute demo](https://orchid.health). \n* **Nonprofits** with an interest in supporting mental health\n\nWe can be **reached at** [**founders@orchid.health**](mailto:founders@orchid.health)\n\nPlease **follow us on** [**LinkedIn**](https://linkedin.com/company/hey-orchid) and spread the love.",
        "url": "https://www.ycombinator.com/launches/I8b-orchid-the-most-efficient-ehr-for-independent-mental-health-professionals",
        "votes": 157,
        "created_at": "2023-02-27T21:50:35.839Z"
      }
    ]
  },
  {
    "id": 27906,
    "name": "1stCollab",
    "slug": "1stcollab",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/38bfe8c1abadf254cda7e353f68089f57109eaec.png",
    "website": "https://1stcollab.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "1stCollab is the first influencer platform that fully automates and optimizes every aspect of your influencer marketing program. We’ve helped hundreds of startups launch their first campaigns and enabled larger brands to scale to thousands of influencers, while saving them over $1M annually in influencer spend.\r\n\r\nWhat we offer:\r\n- Smart search & recommendations – Instantly connect with thousands of relevant influencers.\r\n- Full campaign automation – From outreach and negotiations to contracts, payments, and taxes, we handle it all.\r\n- Real-time performance tracking – Monitor conversions, revenue, and run A/B tests with detailed reporting.",
    "one_liner": "Performance-Optimized Influencer Marketing at Scale",
    "team_size": 11,
    "industry": "B2B",
    "subindustry": "B2B -> Marketing",
    "launched_at": 1671641116,
    "tags": [
      "Machine Learning",
      "Marketing",
      "Advertising",
      "Creator Economy",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Active",
    "industries": [
      "B2B",
      "Marketing"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": [
      {
        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "After working on creator-related products for three years at Pinterest—and talking with dozens of creators about the challenges they faced—Varun and Leon began brainstorming different ways creators could better monetize the enormous value they delivered to their audiences and to brands. After testing a number of concepts, they became excited by the idea of building better discovery experiences to help brands find creators for their campaigns. A mutual friend connected them with Carina, who was independently building something similar. Andrew had also previously worked with Varun and Leon on discovery at Pinterest, and joined the team as well. Soon after, 1stCollab was born!"
      },
      {
        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "We’re focused on solving a two-sided marketplace problem, for brands and creators. For brands, their biggest pain point with influencer marketing is discovering and sourcing creators. Platforms that exist today not only cost >$30k each year, but have very limited discovery capabilities. For instance, [Grin.co](http://Grin.co), one of the top two influencer marketing platforms today, does not surface any Instagram influencers as part of their sourcing tools. We’re going to be the first influencer marketing platform that prioritizes discovery and create the best discovery experience for brands by growing a network of authenticated creators and surfacing those creators through industry leading discovery algorithms and experiences. For creators, 99% of creators don’t get brand deals today, because creators don’t have a way to actively apply to relevant campaigns. By creating an open platform that has a broad set of brands, we can help creators apply to campaigns by showcasing those brands and their campaigns to relevant creators. Creators know their audience and content the best, and through encouraging creator participation, we can facilitate better matchmaking between brands and creators than any platform out there."
      },
      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "From working at social media companies, we know that users engage at much higher rates with sponsored creator content than organic ads. But the market for sponsored influencer content is being held back, because it’s hard to run influencer marketing campaigns and the tools out there today don’t make it much easier. 1stCollab will simplify and automate influencer marketing the same way that Facebook and Google transformed the digital ads market. If we’re successful, we’ll enable a new category of ad spend—helping more brands to leverage influencer marketing and shift more of their budgets towards it. That’s money that goes directly to creators, enabling orders of magnitude more people to make a living as full-time creators. We have the opportunity to make content creation a genuinely feasible career for many, many talented folks out there—and we’re excited to make it happen."
      }
    ],
    "url": "https://www.ycombinator.com/companies/1stcollab",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/1stcollab.json",
    "year_founded": 2022,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/1stcollab",
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      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
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    "founders": [
      {
        "user_id": 1168808,
        "full_name": "Leon Lin",
        "title": "Founder/CEO",
        "founder_bio": "Currently working on 1stCollab, the best platform for brands and creators to collaborate on influencer marketing campaigns. I was previously at Pinterest for over nine years, where I watched the company grow from 100 to 3k employees. Most recently, I was Head of Discovery product there where I led our Home, Search, and Pins teams and was responsible for user engagement. Before that, I was a tech lead on the Recommendations team.",
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        "linkedin_url": "https://www.linkedin.com/in/leonqlin/",
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      {
        "user_id": 1168810,
        "full_name": "Varun Bansal",
        "title": "Founder",
        "founder_bio": "Co-founder at 1stCollab, a platform for brands and creators to connect and run marketing campaigns together. Before 1stCollab, I worked at Pinterest, where I was a product manager for the homefeed recommendations team, the international growth team, and—most recently—the creator engagement and community teams.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/bansalvarunb/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3251e49676ec33cca771662e36818914ead68d75.jpg"
      },
      {
        "user_id": 1176814,
        "full_name": "Andrew Liu",
        "title": "Founder",
        "founder_bio": "Currently working on building a network for brands and creators to connect and launch marketing campaigns. Previously, I was a Tech Lead on search and recommendations at Coupang and Pinterest.\n\n\nIf you're interested in search, recommendations, or creators, please reach out :)!",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/zeyuliu/",
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      }
    ],
    "jobs": [
      {
        "id": 71585,
        "title": "Customer Success Manager (CSM)",
        "url": "https://www.ycombinator.com/companies/1stcollab/jobs/atezDBY-customer-success-manager-csm",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Support",
        "role_type": null,
        "salary_range": "$70K - $110K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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    "news": [],
    "launches": [
      {
        "id": 94796,
        "title": "1stCollab - Fully-automated, ROI-optimized influencer marketing",
        "tagline": "Build a community of thousands of creators for your brand–instantly",
        "body": "**tl;dr**: 1stCollab is the fastest way to test, optimize, and scale your influencer program. Instantly source thousands of creators, and let our platform handle everything — outreach, negotiations, contracting, payments, and taxes — all while maximizing ROI.\n\n**Product Demo:** https://www.youtube.com/watch?v=0KI3LN-xqdM\n\n**Ask**: Introduce [leon@1stcollab.com](mailto:leon@1stcollab.com) to companies interested in influencer marketing!\n\n## The Problem\n\nWe’ve spoken with hundreds of startups running influencer programs, and nearly all hit the same roadblocks:\n\n* **Low response rates.** They reach out to about 10-20 influencers and don’t get any responses. \n* **Time-consuming processes.** Even if some creators reply, sourcing, negotiating, contracting, and paying them quickly turns into a full-time job (or an agency retainer).\n* **Scaling is hard.** Early success is exciting, but optimizing and expanding campaigns takes costly tools, headcount, and process.\n\n## What 1stCollab does\n\n1stCollab helps you test out and scale your influencer marketing program to hundreds of creators with an hour of setup work. We do this by automating the exact same influencer process that the world’s best marketing teams run. \n\nHere’s how it works:\n\n**Step 1: Instantly source thousands of influencers**\n\nFree to try out! We’ve indexed all of TikTok, Instagram, and YouTube so you’ll quickly be able to find relevant creators using our search and recommendation tools.\n\n![uploaded image](/media/?type=post&id=94796&key=user_uploads/1168808/7c914441-b10e-4367-99c6-253a39f48bf6)\n\n**Step 2: We take care of outreach, negotiations, contracting and payments.** \n\nWe handle everything to bring the right creators on board at the right price. You’ll see the full negotiation history and campaign pipeline. Our pricing engine predicts ROI using real-time engagement signals and proprietary data from hundreds of thousands of deals.\n\n![uploaded image](/media/?type=post&id=94796&key=user_uploads/1168808/05e49138-75eb-4fdc-b941-e24044207a7d)\n\n**Step 3: (Optional) Review content**\n\nCreators submit concepts and draft videos for your approval. All revisions stay organized in one place. Once you give the green light, we take care of payouts and collect performance data.\n\n![uploaded image](/media/?type=post&id=94796&key=user_uploads/1168808/fc46b925-16b3-4ef8-82df-1380a85dec64)\n\n\\\n**Step 4: Analyze your metrics**\n\nAs creators are going live, we’ll report out on real time engagement and link click metrics. We’ll cut things by ad groups as well so you can experiment with different briefs and creator populations to understand what works well. \n\n![uploaded image](/media/?type=post&id=94796&key=user_uploads/1168808/90bbd692-5064-454d-a9c4-a20748bd411e)\n\n## Some of our campaigns\n\nWe’ve helped hundreds of startups start their influencer campaigns and scale up to **some of the largest campaigns on social media**. Some interesting case studies to check out include [Framer](https://brands.1stcollab.com/customers/framer), [Locket](https://brands.1stcollab.com/customers/locket), [Gamma](https://brands.1stcollab.com/customers/gamma) and [SnapCalorie](https://brands.1stcollab.com/customers/snapcalorie)!\n\n## How to get started\n\nStart [sourcing creators for free](https://brands.1stcollab.com/) or schedule [some time with Leon](https://calendar.app.google/Zd88eFtzJF3TKs3k6) so we can discuss campaign strategy and we can share with you best practices\n\nAlready running influencer campaigns? A/B test us against your current program — we’re confident we can improve your performance and efficiency!\n\n![uploaded image](/media/?type=post&id=94796&key=user_uploads/1168808/96f60d67-2c55-48e9-9d78-35dcdddb8e28)\n\n",
        "url": "https://www.ycombinator.com/launches/Oey-1stcollab-fully-automated-roi-optimized-influencer-marketing",
        "votes": 140,
        "created_at": "2025-10-21T19:13:55.295Z"
      },
      {
        "id": 70145,
        "title": "1stCollab — Run an influencer marketing campaign in less than 30 minutes 🎉",
        "tagline": "1stCollab is an AI-powered influencer marketing platform that automates the process of running an influencer marketing campaign.",
        "body": "### **TL;DR**\n\nInfluencer marketing is one of the most efficient ways to reach and acquire new customers, but it’s tedious to run campaigns. By leveraging machine learning and our prior campaign data, 1stCollab lets you run a campaign in under 30 minutes. Visit [1stcollab.com](http://1stcollab.com) to get started with your next influencer marketing campaign!\n\n### **Why is influencer marketing hard?**\n\nFrom our time working at large social media platforms, we know that influencer marketing consistently outperforms organic ads. Unfortunately, launching an influencer campaign is a manual and lengthy process. _Launching an influencer campaign takes weeks_, while launching Google ads takes just minutes. \n\nThe first step of every influencer campaign is to find the right creators to work with—which often takes over 50 hours per campaign. Existing solutions cost tens of thousands of dollars and operate off inaccurate data. As a result, the majority of influencer marketers spend hours manually searching on YouTube, TikTok, or Instagram. From there, they have to manually calculate stats, vet a creator’s audience, evaluate past partnerships, and negotiate rates and contract terms, review creatives, report out campaign metrics, and finally submit payments. This whole process often takes 2+ weeks for a single campaign.\n\n### **How does it work?**\n\n1stCollab lets you launch an influencer marketing campaign in minutes—not weeks. All you have to do is find a single influencer who's relevant to your brand and target customers. Then:\n\n1. Use our [influencer look-alike discovery tool](https://www.1stcollab.com/) to identify, vet, and save additional influencers you'd like to work with. We do what the best influencer marketers do: identify a single relevant creator, dig through that creator’s community, identify additional relevant creators, and repeat the process—but automatically.\n2. Send us your list of saved influencers and tell us about your campaign goals and budget.\n3. We'll take care of everything from there. All you have to do is approve the content that the influencers will post.\n\nWe support campaigns on all platforms. Our self-serve discovery tool currently supports YouTube, and we’re launching for Instagram and TikTok soon.\n\n![uploaded image](/media/?type=post&id=70145&key=user_uploads/1168808/a5397e58-9fda-4820-8ec8-945d2930f80d)\n\n### **Our Team**\n\n![uploaded image](/media/?type=post&id=70145&key=user_uploads/1168808/214846e7-6c27-47c6-9213-4ecac24313be)\n\nOur team has built some of the largest and most-used discovery and ML systems in the world, and has led industry-leading influencer marketing programs.\n\n* [Leon](https://www.linkedin.com/in/leonqlin/) spent nine years at Pinterest, where he was most recently Head of Discovery Product. \n* [Varun](https://www.linkedin.com/in/bansalvarunb/) was at Pinterest for five years, where he led product for both the Creator Engagement and Recommendations teams. \n* [Carina](https://www.linkedin.com/in/carina-cater/) led influencer marketing at Whatnot, Robinhood, and Curology.\n* [Andrew](https://www.linkedin.com/in/zeyu-liu/) was the tech lead for the Recommendations and Search team at Coupang and the Recommendations team at Pinterest.\n* [Kevin](https://www.linkedin.com/in/kevinlau93/) was a Founding Engineer and tech lead for the Machine Learning team at Abnormal Security and earlier, an engineer on the Recommendations team at Pinterest.\n\n### **Our Ask**\n\n* **Want to give influencer marketing a try?** We'd love to help! We're the easiest and fastest way to do it. Our discovery tool is free to try and we’re happy to help you run the rest of your campaign.\n* **Know someone doing influencer marketing?** We'd love to be connected. Even if our product isn't the right fit, we’d love to know how we can make their process faster and improve their performance.\n* **No plans to run an influencer marketing campaign?** Feel free to use our discovery tool and explore creators you might want to work with in the future! We'd love to get feedback on the discovery experience.\n\nIf you have any questions, shoot us an email at [hello@1stcollab.com](mailto:hello@1stcollab.com)!",
        "url": "https://www.ycombinator.com/launches/IFN-1stcollab-run-an-influencer-marketing-campaign-in-less-than-30-minutes",
        "votes": 28,
        "created_at": "2023-03-10T18:04:24.429Z"
      }
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  },
  {
    "id": 27907,
    "name": "Storyboarder",
    "slug": "storyboarder",
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fdaa90707265a548984bceb0ca01f4971e16d6c3.png",
    "website": "https://storyboarder.com",
    "all_locations": "New York City, NY, USA; Remote",
    "long_description": "Storyboarder is a tool and a platform for anyone to create, share, and sell webcomics.\r\n\r\n\r\nIn East Asia, the webcomic (or digital manga) industry is an $12B market and rapidly growing to the rest of the world. Webtoon, the largest company in the space, generates $100M / month in revenue. However, their addressable market is limited by their content creators, who need know how to draw. Readers are desperate for a greater variety of stories in webcomics.\r\n\r\n\r\nThrough years of working with filmmakers, we’ve built extremely easy to use storyboarding software  that has 700K users. We’re democratizing visual storytelling to everyone. We’re working on the next generation that, through advances in video game interfaces, ubiquitous 3D compute, and AI, will allow anyone to easily create scenes, pose characters, to create webcomics. \r\n\r\n\r\nStoryboarder is backed by Y Combinator (W23), David Karp (Tumblr Founder), Andrew Kortina (Venmo Founder), and other product focused investors.",
    "one_liner": "Tool and platform to create and sell webcomics",
    "team_size": 2,
    "industry": "Consumer",
    "subindustry": "Consumer -> Content",
    "launched_at": 1677558181,
    "tags": [
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      "Media",
      "Creator Economy"
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    "batch": "Winter 2023",
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    "url": "https://www.ycombinator.com/companies/storyboarder",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/storyboarder.json",
    "year_founded": 2022,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/storyboarder",
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    "primary_partner": {
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        "user_id": 73262,
        "full_name": "Charles Forman",
        "title": "Founder",
        "founder_bio": "Charles Forman is the co-founder of Storyboarder. With a background in computer science and design, Charles is passionate about building great product experiences that make the world a more enjoyable place. Prior to co-founding Storyboarder, Charles was the founder of OMGPOP (YCS06), a gaming startup that gained international recognition for its popular game \"Draw Something\". OMGPOP attracted millions of users and was ultimately acquired by Zynga for $210 million.",
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        "full_name": "Joe Watkins",
        "title": "Founder",
        "founder_bio": "Joe Watkins is the co-founder and CTO of Storyboarder. Prior to Storyboarder, Joe lead a computer vision/machine learning team at Google before working on generating maps with machine learning at Waymo.\nJoe's passion for web-native fiction played a significant role in inspiring Storyboarder's design. As a teenager, he was captivated by the potential of the internet to tell stories in new and exciting ways, and spent countless hours exploring different forms of digital storytelling.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/joe-watkins-06925295",
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        "id": 66669,
        "title": "Backend Engineer",
        "url": "https://www.ycombinator.com/companies/storyboarder/jobs/hmyhqGZ-backend-engineer",
        "location": "New York, NY, US",
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    "launches": [
      {
        "id": 69867,
        "title": "Storyboarder - Create, buy, and sell webcomics",
        "tagline": "Storyboarder is a tool and platform that enables anyone to create, buy, and sell webcomics.",
        "body": "# TLDR: Storyboarder is a tool and platform that enables anyone to create, buy, and sell webcomics. Over 650,000 users have used Storyboarder to make movies like Black Panther, Cruella, I Tonya, and Modern Family — and now we're expanding to webcomics.\n\nHi Everyone! We’re [Charles Forman](https://www.linkedin.com/in/iminlikewithyou/) and [Joe Watkins](https://www.linkedin.com/in/joe-watkins-06925295/), the founders of [Storyboarder](https://storyboarder.com/).\n\n![uploaded image](/media/?type=post&id=69867&key=user_uploads/73262/1d6bac9f-7694-4132-b0e9-b6f55630014f)\n\nIf you have an idea for a story, you can use Storyboarder to tell it by adding characters to a scene and typing in dialogue - the tool will automatically generate the shots you need to tell your story. You can post episodes of your story to the platform as part of a series, and other people can buy the episodes to read them.\n\n## 🤬 **Currently, it’s too hard to make webcomics - You have to be able to draw!**\n\nIn East Asia, the webcomic (or digital manga) industry is a $12B market - and it’s rapidly growing to the rest of the world. People are addicted to reading webcomics. For example, the largest company in the space, Webtoon, has 100M MAU and generates $1.2B in annual revenue. The problem is that the variety and appeal of webcomics is constrained by the number of webcomic artists - you need to know how to draw to make a webcomic.\n\n## 💜 **We make it easy for anyone to make webcomics!**\n\nStoryboarder is a 3D scene editor. You pick a scene. You add characters. You type in what they say. Storyboarder makes the panels for you, and then you can edit them as much as you want. We have a world class rendering system, so everything ends up looking absolutely beautiful!\n\nStoryboarder is also a platform for posting your comics as episodes in series. After your readers read 5 of your episodes, they can pay the equivalent of 20 cents to read additional episodes.\n\n## 🧔🧔‍♂️ **Why are we building this?**\n\nI, (Charles), was working on making a movie. I wanted the story to be good, but I had no experience. Pixar uses storyboarding as a tool to iterate on their stories. They can see each version of their movie and rapidly iterate on it. Being the creative / engineer that I am, I made a storyboarding tool so I could create storyboards without having to draw. I released the tool, Storyboarder, and 700K people use it to storyboard movies and tv shows like Black Panther, Cruella, I, Tonya, and Modern Family.\n\nWe were ready to start shooting my movie in March of 2020 - then the pandemic hit. We realized we wouldn’t be able to make the movie. So I focused on Storyboarder. Working with some of the best writers, directors, and storyboard artists in the world, I saw a bunch of fantastic storyboards for movies that would never be filmed. They were cancelled because of covid. I realized that there are tons of stories that never see the light of day because they can’t get made into movies.\n\nBeing depressed about COVID, I spent time on Clubhouse, where I met my cofounder Joe. We talked a lot about the world of online fiction and webcomics and how it relates to storyboarding. We learned that Webtoon is huge and makes tons of money, but very few of their stories appeal to us, or many people I know. Webtoon creators are a particular type of person that need to know how to draw.\n\nI used to make videogames. I started OMGPOP (YC06). We built 35 games and a game called “Draw Something” We sold the company for $200M. Joe was running a team of ML engineers at Google and worked on computer vision at Waymo. So we thought we could combine forces to build the next generation of storytelling with online 3D tech, game tech, and AI.\n\nJoe and I thought, what if we make a tool where anyone can make webcomics without having to draw? The stories created would appeal to so many more people. We did the math: 3 out of 10 Americans buy e-books: 100M people X $12 (ARPPU on Webtoon). That’s $1.2B. 10X Globally: $12B!\n\n## **Checks all the boxes:**\n\n✅ **Making stories is important and fun!** \\\n✅ **Huge Market: $12B.** \\\n✅ **Built in 650K Users.** \\\n✅ **Previous YC06 videogame company with success: $200M Exit.** **\\#29 Top YC Exit.**\\\n✅ **Investors include**: David Karp (**Tumblr Founder**), Andrew Kortina (**Venmo Founder**), **Jonathan Glick** (NYT), **Andy Artz** (Best man in the world), other top secret celebs and good looking rich people.\n\n![uploaded image](/media/?type=post&id=69867&key=user_uploads/73262/c4ddcafc-e38e-49f9-8259-b90af30cfb5c)\n\n_Various gingers: Laura (Joe’s partner), Joe, some freakishly tall guy, and Charles._\n\n### **The Ask:**\n\n🚀 Do you want in on this rocket ship? Interested in using our tool? 💌 Email us and we’ll add you to the waitlist or set up a call: [founders@storyboarder.com](mailto:founders@storyboarder.com)",
        "url": "https://www.ycombinator.com/launches/IAt-storyboarder-create-buy-and-sell-webcomics",
        "votes": 114,
        "created_at": "2023-03-02T15:10:31.514Z"
      }
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    "id": 27911,
    "name": "IcePanel",
    "slug": "icepanel",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/dbd813cd554f2fcf891554ea0c9a4e0eceff792e.png",
    "website": "https://icepanel.io",
    "all_locations": "North Vancouver, BC, Canada",
    "long_description": "IcePanel is a collaborative diagramming tool that helps software engineering and product teams align on technical decisions. Teams use IcePanel to create a map of their software systems, giving them full context about how it works.",
    "one_liner": "Design and explain complex software architecture.",
    "team_size": 9,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1669087724,
    "tags": [
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      "SaaS",
      "B2B",
      "Collaboration",
      "Enterprise"
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    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Active",
    "industries": [
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      "Engineering, Product and Design"
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/icepanel",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/icepanel.json",
    "year_founded": 2021,
    "city": "North Vancouver",
    "country": "CA",
    "linkedin_url": "https://www.linkedin.com/company/icepanel/",
    "x_url": "https://twitter.com/ice_panel",
    "fb_url": "https://www.facebook.com/icepanel",
    "cb_url": "https://www.crunchbase.com/organization/icepanel",
    "github_url": "https://github.com/IcePanel",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/dbd813cd554f2fcf891554ea0c9a4e0eceff792e.png",
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    "primary_partner": {
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      "url": "https://www.ycombinator.com/people/brad-flora"
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        "full_name": "Jacob Shadbolt",
        "title": "Founder/CEO",
        "founder_bio": "🧊 IcePanel Co-Founder | I am building a simpler (cooler) way to talk about system design and share technical knowledge. Before IcePanel, I was a UX Designer at Mastercard, working on greenfield real-time payment products, including monitoring and mobile payments. I prefer solving \"boring\" problems over jumping on hype trains. Stay chill.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jacob-shadbolt-design/",
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      {
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        "full_name": "Victor Leach",
        "title": "Founder",
        "founder_bio": "🧊 IcePanel Co-Founder | I have a passion for discovering and solving problems with technology, and my mission is to make products that people love!",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/victorleach/",
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    "jobs": [
      {
        "id": 72555,
        "title": "Senior Full Stack Engineer",
        "url": "https://www.ycombinator.com/companies/icepanel/jobs/KlI6KP6-senior-full-stack-engineer",
        "location": "Vancouver, BC, CA",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$170K CAD",
        "equity_range": "0.20% - 0.70%",
        "experience": "6+ years",
        "visa": "US citizenship/visa not required",
        "skills": [
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          "Node.js",
          "TypeScript",
          "Vue.js",
          "Tailwind"
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        "id": 67487,
        "title": "🧊 IcePanel - Collaborative system design; linked with reality",
        "tagline": "A lightweight visual approach to modelling software architecture, linked with resources in the real world.",
        "body": "### **⚡️TL;DR**\n\nCommunication of software systems is hard, visuals help but often lack consistency and are out-of-date within weeks.\n\nIcePanel is a SaaS tool for tech teams to collaborate on their software architecture design.\n\n### **👋 Who are we?**\n\nHey all, we’re [Victor](https://www.linkedin.com/in/victorleach/) and [Jacob](https://www.linkedin.com/in/jacob-shadbolt-design/), the founders of 🧊 [IcePanel](http://icepanel.io).\n\n### **🤬 Problem**\n\nSoftware teams currently use generic diagramming tools to communicate complex systems.\n\n* Software systems are becoming increasingly complex and are hard to explain.\n* Technical teams often find it challenging to tell the right story and gain alignment.\n* Technical diagrams are inconsistent, lack context and drift from reality - becoming out-of-date in a matter of weeks.\n* Engineering and product teams are often misaligned, especially in technical areas.\n\n💩 Bad communication across teams is time-consuming and expensive.\n\n### **🚀 Our solution**\n\nHelp humans visually communicate complex systems; linked to resources in reality.\n\n**1️⃣ Modelling**\n\n> * IcePanel is a collaborative modelling tool, that provides a single source of truth with reusable objects and relationships, keeping your diagrams in sync and up-to-date with changes.\n\n**2️⃣ Consistent language**\n\n* IcePanel is built upon the [C4 model](http://c4model.com), a lightweight layered approach designed for technical and non-technical audiences. This brings consistency to visual & verbal communication about software architecture.\n\n**3️⃣ Linked to reality**\n\n* IcePanel objects can be linked to resources in reality, such as files in Git, that flag as out-of-date if they no longer exist.\n\n### **🫣 Sneak peek**\n\n_Levelled diagramming_\n\n![uploaded image](/media/?type=post&id=67487&key=user_uploads/690358/af8b9aee-00f4-48c5-9215-1c5a75cbb7b9)\n\n_Dynamic flows_\n\n![uploaded image](/media/?type=post&id=67487&key=user_uploads/690358/ead5d78e-c923-41bb-b34a-74d8d03bb9b8)\n\nWant to see more? [Head over to IcePanel!](https://icepanel.io)\n\n### **🙌 Our ask**\n\n* [Try us out](http://icepanel.io) for free & let us know your feedback\n* Connect us with engineering teams who struggle to fully understand their systems\n* Share with your developer or product friends",
        "url": "https://www.ycombinator.com/launches/HYV-icepanel-collaborative-system-design-linked-with-reality",
        "votes": 26,
        "created_at": "2022-11-23T00:36:21.646Z"
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    "id": 27925,
    "name": "222",
    "slug": "222",
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    "website": "https://222.place",
    "all_locations": "New York City, NY, USA",
    "long_description": "an IRL marketplace facilitating social experiences at local venues/events through AI recommendations.",
    "one_liner": "the AI social facilitator for offline human to human interactions",
    "team_size": 28,
    "industry": "Consumer",
    "subindustry": "Consumer",
    "launched_at": 1668648558,
    "tags": [
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      "Consumer",
      "Social",
      "AI"
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Active",
    "industries": [
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/222",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/222.json",
    "year_founded": 2023,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/222place/",
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    "fb_url": null,
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2e693471ebf0087cdb9edcdba2657ef0066b1a88.png",
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    "primary_partner": {
      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
    },
    "founders": [
      {
        "user_id": 358820,
        "full_name": "Keyan Kazemian",
        "title": "Founder",
        "founder_bio": "accelerating chance social encounters @ www.222.place",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/kaaazemian",
        "x_url": "https://twitter.com/keyankazemian",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d8f95a34db333932504c444ea1dc29a1216c4543.jpg"
      },
      {
        "user_id": 821983,
        "full_name": "Danial Hashemi",
        "title": "Founder",
        "founder_bio": "Iranian immigrant building a new solution to social",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/danialhashemi/",
        "x_url": "https://twitter.com/danialhashemi4",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/447db14f2a4eb34a08dc0b78a2198aec842543af.jpg"
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      {
        "user_id": 485819,
        "full_name": "Arman Roshannai",
        "title": "Founder",
        "founder_bio": "engineering serendipity @ 222\n-\nexcited about tech that improves the human experience",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/arman-roshannai/",
        "x_url": "https://twitter.com/armanroshannai",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c6b68ebd5b85fb9003bf1fa5fa2de4d0db26b10a.jpg"
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        "id": 108551,
        "title": "Backend Engineer",
        "url": "https://www.ycombinator.com/companies/222/jobs/ixxLfJT-backend-engineer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$165K - $275K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
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    "news": [
      {
        "title": "In an Age of AI, This Startup Is Betting on IRL",
        "url": "https://www.wsj.com/articles/in-an-age-of-ai-this-startup-is-betting-on-irl-69608cd4?st=yG7Yiw",
        "date": "Dec 23, 2025"
      },
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        "title": "Social platform, 222 looks to connect strangers through AI - Fast Company",
        "url": "https://www.fastcompany.com/91356813/222-aims-to-end-loneliness-by-engineering-chance",
        "date": "Jun 27, 2025"
      },
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        "title": "222 Startup Wants to Bring Social Back to Real Life, Launches App",
        "url": "https://www.businessinsider.com/startup-shifting-social-to-real-life-funding-raise-app-launch-2024-2",
        "date": "Feb 05, 2024"
      },
      {
        "title": "It's hard to make friends in L.A. Can 222's AI help?  - Los Angeles Times",
        "url": "https://www.latimes.com/lifestyle/story/2023-10-18/can-ai-curate-a-better-night-out-in-los-angeles",
        "date": "Oct 18, 2023"
      },
      {
        "title": "222 wants to match perfect strangers for bespoke, real-life experiences • TechCrunch",
        "url": "https://techcrunch.com/2022/11/14/2440702/",
        "date": "Nov 14, 2022"
      }
    ],
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    "id": 27926,
    "name": "Variance",
    "slug": "variance",
    "former_names": [
      "Decoy",
      "Intrinsic"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e32d61652a6684aecf45080965c0897ba451022f.png",
    "website": "https://www.variance.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Variance builds AI agents for fraud, identity, and investigations for Fortune 500s, Marketplaces, and regulated financial services.",
    "one_liner": "AI Agents for Fraud Review and Investigations",
    "team_size": 12,
    "industry": "B2B",
    "subindustry": "B2B -> Security",
    "launched_at": 1677704898,
    "tags": [
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      "Cybersecurity",
      "Enterprise Software",
      "AI"
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    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Active",
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      "Security"
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/variance",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/variance.json",
    "year_founded": 2022,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/variancesafety",
    "x_url": "https://twitter.com/trustvariance",
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e32d61652a6684aecf45080965c0897ba451022f.png",
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    "primary_partner": {
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      "url": "https://www.ycombinator.com/people/jared-friedman"
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        "user_id": 544605,
        "full_name": "Karine Mellata",
        "title": "Founder",
        "founder_bio": "Co-Founder at Variance (fka Intrinsic).\n\nMaking the internet safer, one line of code at a time.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/karinemellata/",
        "x_url": "https://twitter.com/karinemellata",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7b6c8e84fc0d16df4298ba7d7a737691dfe019dd.jpg"
      },
      {
        "user_id": 1184751,
        "full_name": "Michael Lin",
        "title": "Founder",
        "founder_bio": "Co-founder of Variance. Working to scale AI agents for investigations and fraud reviews.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/michael-lin-2933a013b/",
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        "id": 67445,
        "title": "Forward Deployed AI Engineer",
        "url": "https://www.ycombinator.com/companies/variance/jobs/0BmwPv6-forward-deployed-ai-engineer",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$115K - $200K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 74151,
        "title": "Business Development Representative",
        "url": "https://www.ycombinator.com/companies/variance/jobs/bxFqv04-business-development-representative",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$65K - $120K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 93289,
        "title": "Enterprise Account Executive",
        "url": "https://www.ycombinator.com/companies/variance/jobs/F9eOW1L-enterprise-account-executive",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 93290,
        "title": "Senior Software Engineer",
        "url": "https://www.ycombinator.com/companies/variance/jobs/HZwc3gx-senior-software-engineer",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 93294,
        "title": "Research Engineer, Judgment Systems",
        "url": "https://www.ycombinator.com/companies/variance/jobs/o2Qfu8N-research-engineer-judgment-systems",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "",
        "visa": "US citizen/visa only",
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      },
      {
        "id": 93296,
        "title": "Research Engineer, Evals",
        "url": "https://www.ycombinator.com/companies/variance/jobs/Eok2YSs-research-engineer-evals",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
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        "visa": "US citizen/visa only",
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      },
      {
        "id": 93297,
        "title": "Enterprise Account Executive",
        "url": "https://www.ycombinator.com/companies/variance/jobs/unx03tA-enterprise-account-executive",
        "location": "New York",
        "type": "Full-time",
        "role": "Operations",
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        "id": 93298,
        "title": "Product Marketing Lead",
        "url": "https://www.ycombinator.com/companies/variance/jobs/HJStuvw-product-marketing-lead",
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        "title": "Variance raises $21.5M for AI risk investigations",
        "url": "https://www.axios.com/pro/fintech-deals/2026/03/31/variance-21-5m-series-a-ai-compliance-agents",
        "date": "Mar 31, 2026"
      },
      {
        "title": "Intrinsic Raises $3.1M in Seed Funding",
        "url": "https://www.finsmes.com/2024/01/intrinsic-raises-3-1m-in-seed-funding.html",
        "date": "Jan 02, 2024"
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      {
        "title": "Y Combinator-backed Intrinsic is building infrastructure for trust and safety teams | TechCrunch",
        "url": "https://techcrunch.com/2023/12/21/y-combinator-backed-intrinsic-is-building-infrastructure-for-trust-and-safety-teams/",
        "date": "Dec 21, 2023"
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      {
        "id": 69844,
        "title": "🌔 Intrinsic - Safety tooling for Trust & Safety teams",
        "tagline": "Maintain high quality content communities, monitor brand safety and keep your users safe",
        "body": "**tl;dr:** We make it easy to take care of safety so that you can focus on the product. Intrinsic integrates **policy management, data engineering, moderator workflow management, and content understanding** under one platform. [Ping us for a demo!](https://www.withintrinsic.com/contact)\n\n\\\nHey everyone! We’re Karine and Michael, the team behind Intrinsic.\n\nWe’re working to help connect safety teams with the best tools available to prevent abusive behaviour and tell better stories. We both come from Apple and Discord, where we worked on the Trust & Safety machine learning and data engineering infrastructure that was pivotal in protecting both platforms from large-scale abuse. We believe that a safer internet for everyone starts with more accessible safety tools.\n\n### **Who this is for**\n\n* Engineers implementing safety features into products\n* Product managers and directors of Trust & Safety teams\n\n### **Problem**\n\nTrust & Safety engineers are tasked with maintaining platform integrity and user safety in an era of evolving **fake accounts, illegal content, hate speech, misinformation, and child safety concerns.** Nobody wants this stuff on their platforms, but getting up and running with industry best practices is challenging.\n\nCurrently, there are two huge barriers to shipping safety-by-default products:\n\n* T&S teams are siloed from crucial data they need to evaluate safety risks and measure impact. Product and customer service teams own this data.\n* Data integration with either in-house or third-party detection services is costly.\n\nAs a result, safety engineers and data scientists are caught in an endless cycle of blindsided firefighting and doing tedious integrations.\n\n## **Solution**\n\nIntrinsic is a platform for Trust & Safety with a focus on scalability and composability of processes to help a company move faster in responding to evolving threats:\n\n* We handle setting up detection, enforcement, policy management, and integrating an observability platform designed for Trust and Safety.\n* We focus on helping you get up and running end-to-end in minutes for a new safety product integration.\n* We automatically make all Trust & Safety actions, whether banning users or flagging content for review, to be logged and measurable.\n* We can help diagnose failures by tracing safety stories that span disparate products, for example tracing a particular enforcement back to a specific clause of terms and conditions that was breached.\n\nTrust & Safety and Fraud are two problem domains that require rapidly evolving AI systems that start with machine learning and rules (proactive detection) and end with human decisioning (content moderation). We believe that by streamlining this process and closing the feedback loop — **the applications go far beyond Trust & Safety and into any domain that benefits from a rapidly evolving response**.\n\n## **Asks**\n\nIf you know anyone who’s ever had issues with the following,\n\n* Spam, fake accounts, bots\n* Low-quality content\n* High-harm content (bullying, child safety issues, violent speech)\n\nPing [Karine](https://www.linkedin.com/in/karinemellata/), [Michael](https://www.linkedin.com/in/michael-lin-2933a013b/) or [founders@withintrinsic.com](mailto:founders@withintrinsic.com), we would love to schedule a demo!",
        "url": "https://www.ycombinator.com/launches/IAW-intrinsic-safety-tooling-for-trust-safety-teams",
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        "created_at": "2023-03-01T20:45:32.177Z"
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    "id": 27936,
    "name": "ClickPe",
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        "user_id": 1043738,
        "full_name": "Shashwat Shrikhande",
        "title": "Founder",
        "founder_bio": "I enjoy working on problems related to the lending tech industry and want to help reduce the credit gap in the Indian economy.\n\nI graduated from IIT Kharagpur in 2021 and then worked at ICICI bank & Lenskart.com before starting up DailyPe.\n\nI am an ardent Chelsea football club fan, DM me anytime to discuss football 😁😎",
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        "user_id": 514038,
        "full_name": "Saurabh Gupta",
        "title": "Founder",
        "founder_bio": "Co-Founder of DailyPe. I have 2 years of experience building products in the lending tech domain at FinBox. I have created products such as Device Connect and Bank statement analyzer to evaluate New to Credit customers. During my college, I opened a glass bottle recycling factory. ",
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        "url": "https://www.ycombinator.com/companies/clickpe/jobs/N3kIxQj-backend-intern-python",
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        "tagline": "DailyPe is a marketplace for business loans, that are repaid daily.",
        "body": "Hey! We are [Saurabh](https://www.linkedin.com/in/saurabh-gupta2104/) and [Shashwat](https://www.linkedin.com/in/shashwat-shrikhande/), the founders of [DailyPe](https://dailype.in/). We met each other at IIT Kharagpur and have been friends for the past 7+ years. We’re building DailyPe — a marketplace for business loans that are paid in smaller, daily installments.\\\n—\n\n### **Problem 💸: Paying your loans in huge installments at once sucks.**\n\nSmall shop owners earn daily unlike salaried people, but when it comes to loan repayment both are asked to pay monthly. For these shop owners, it is difficult to calculate how much to save each day so that they will have the required installment amount at the end of the month. Also, at the time of repayment, they end up with a big hole in their working capital.\n\n### **Solution 💡: Reduce risk & pay small amounts daily.**\n\n**Borrower Side:** When you earn daily you pay daily and get away from the stress of huge one-time installments. Each day, a small amount of $X is deducted from your digital wallet which is on the auto-debit mandate and you don't need to worry about keeping your balance of $XXXX. You never default, and you also build your credit score. \n\n**Lender Side:** Discover defaulters early because right from the 2nd day onward, your collection data stops you from lending in that particular demographic and geographic location. These data points wouldn't be available in the traditional way of lending till at least the 3rd month. With DailyPe, lending decisions are much more informed leading to higher collection rates and lower NPAs.  \n\n![uploaded image](/media/?type=post&id=70455&key=user_uploads/514038/c1cbfb52-4486-4bf2-aa13-d39065cd0419)\n\n### \n\n### **Why us 😎**\n\nWe both have seen this problem firsthand when our fathers, who ran their own businesses, would stress out days before installment day — saying that they “\\*\\*need to save and transfer money from their secondary accounts to pay for the loan.\\*\\*” \n\nAlso, while working at FinBox and ICICI bank in the past, we built products in the **lending-tech industry.** This was something we had always wanted to build.\n\nFun fact: These loan products are called “**khandi Udhar**” which existed for a long time in the unorganized markets in India. We are making them organized 😁\n\n### **Ask** ❤️\n\n**Lending Partners**: If you can connect us with banks, NBFCs, and debt institutions in India who are open to becoming finance providers for our small business owners. \n\n**Data Points**: If you have worked on credit models, underwriting tech, risk analysis, or any sort of lending algorithm, please reach out to us at [founders@dailype.in](https://mailto:founders@dailype.in). It would be a pleasure to learn from you.             ",
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        "votes": 78,
        "created_at": "2023-03-21T20:51:49.508Z"
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    "name": "Boundary",
    "slug": "boundary",
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    "website": "https://www.boundaryml.com",
    "all_locations": "Seattle, WA, USA",
    "long_description": "Boundary is building BAML -- a programming language to build AI agents.\r\n\r\nWe used to code in assembly, and moved on to C.\r\nFrom C, we moved on to higher level languages like Python.\r\nNow we are going from Python to natural language.\r\n\r\nWhat does the code look like when 50% of the business decisions is decided by an AI agent / prompts? How do you test these AI components? We made BAML to address these problems.\r\n\r\nBAML helps has built-in tools to test, observe, and work with structured LLM outputs / tool calling natively in the language 10x faster. With BAML you can also instantly parallelize LLM Calls, or react to certain events or changes in your pipelines, without having to write any boilerplate. It's like using 'React' for AI.\r\n\r\nBAML code can used from any other language -- providing a standardized way to organize and declare any LLM or AI code.",
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    "team_size": 10,
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        "founder_bio": "Vaibhav is a software engineer with over 7 years of experience building innovative products. At Microsoft, he worked on realtime 3D reconstruction for HoloLens, gaining expertise in computer vision and 3D graphics. At Google, he led performance optimization on ARCore and Face ID, significantly improving latency and quality. Now he's bringing that same experience to help bring better quality and speed to Generative AI technology. For talking anything Computer Vision/AI/Performance, reach out!",
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        "title": "Gloo: Empower LLM’s with domain-specific knowledge",
        "tagline": "We help LLMs like ChatGPT connect to knowledgebases and add mechanisms to stop them from hallucinating..",
        "body": "**tl;dr** LLMs are awesome, but they have no knowledge about your data, and when you give it to them, they’re prone to make stuff up. We help developers build a searchable knowledgebase that LLMs can understand, and validate their responses are legit.\n\nHey everyone! We’re Aaron and Vaibhav from Gloo and we’re on a mission to help LLMs understand your data and get them to stop hallucinating all over the place.\n\n![uploaded image](/media/?type=post&id=70071&key=user_uploads/855521/fefa49cf-6a22-4913-ac9e-da9550da9e69)\n\n### **The problem**\n\nBuilding a knowledge graph isn’t as easy as calling OpenAI embeddings API, storing them in a VectorDB and calling it a day. Developers have to choose from a myriad of parameters like chunking algorithm, embedding type (even based on the content), vectorDB, whether to fine-tune or not, how to securely store the data — and the list goes on and on.\n\nOnce you feed everything into the LLM, you’re only halfway there, as getting rid of hallucinations is tricky, and confidently incorrect answers to customer questions will give you headaches in the long-term.\n\nOn top of that, you still have your actual customer problems to still fix: getting the customer data, building flows on top of the LLM, writing the right prompts, getting more customers.\n\n### **The solution**\n\nGloo is the managed solution to building your knowledge graph — built for LLM context-windows from the ground-up. **We stand up a search API for your data that supports both keyword and semantic search**, and we smartly index and compute embeddings for you based on the content type. Once that’s setup, you can call our **_Check-_GPT API to check LLM answers** against your knowledgebase to ensure trustworthiness.\n\n![uploaded image](/media/?type=post&id=70071&key=user_uploads/855521/4c3b7bd2-6924-427b-a1f6-6aa194ae500f)\n\nWe built our search with a security-first approach. Your data is always server-side encrypted, and never actually stored in 3rd party Vector DBs. We are also supporting new transformations search engines couldn’t do before, like generating document summaries (powered by LLMs!), so you don’t have to spend precious time computing this at query time.\n\nAll of your data is viewable in your own personal dashboard where you can track embedding jobs, play around with different search parameters, and search query performance and analytics.\n\n![uploaded image](/media/?type=post&id=70071&key=user_uploads/855521/3e191b7a-73b1-4b36-983c-8852002a646e)\n\n### **Asks**\n\nReach out to us at **founders@gloo.chat**\n\n* If your AI keeps making shit up ☠️\n* If you want your LLM to stop saying “Sorry I dont know 😵‍💫”\n* If you’re worried about data security and VectorDBs / LLMs 🔒",
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    "all_locations": "New York City, NY, USA",
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        "full_name": "Thomas Stewart",
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        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "₹3M - ₹4.5M INR",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "Alaan receives key in-principle approval from the Central Bank of the UAE for SVF and RPS licences | Khaleej Times",
        "url": "https://www.khaleejtimes.com/kt-network/alaan-receives-key-in-principle-approval-from-the-central-bank-of-the-uae-for-svf-and-rps-licences",
        "date": "Sep 02, 2026"
      },
      {
        "title": "Alaan launches UAE's first AI-native business bank account, powered by ruya",
        "url": "https://gulfnews.com/business/corporate-news/alaan-launches-uaes-first-ai-native-business-bank-account-powered-by-ruya-1.500577347",
        "date": "Jun 16, 2026"
      },
      {
        "title": "AI-powered fintech Alaan raises $48M, one of the largest Series A rounds in MENA | TechCrunch",
        "url": "https://techcrunch.com/2025/08/05/ai-powered-fintech-alaan-raises-48m-one-of-the-largest-series-a-rounds-in-mena/",
        "date": "Aug 05, 2025"
      },
      {
        "title": "Homegrown UAE startup ranks No. 1 globally for expense management on G2",
        "url": "https://gulfnews.com/friday/friday-partner/homegrown-uae-startup-ranks-no-1-globally-for-expense-management-on-g2-1.1714060677391",
        "date": "Apr 24, 2024"
      },
      {
        "title": "Visa and Alaan Partner on Expense Management in Middle East",
        "url": "https://www.pymnts.com/spend-management/2024/visa-and-alaan-partner-on-expense-management-in-middle-east/",
        "date": "Mar 28, 2024"
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    ],
    "launches": []
  },
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    "id": 27969,
    "name": "Vendah",
    "slug": "vendah",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ad5862d29bcc7cc0ab3ae533342705aa27636764.png",
    "website": "https://vendah.com.br/",
    "all_locations": "São Paulo, SP, Brazil",
    "long_description": "Vendah is building a marketplace that connects digital-first beauty brands to a network of individual sellers across Brazil, powered by embedded microcredit. Brazil is one of the largest beauty markets globally (~$30B), with millions of individuals already selling through fragmented, offline channels that lack modern infrastructure.\r\n\r\nAfter pivoting to a marketplace + credit model, traction has accelerated: GMV is growing ~30% MoM, we’re approaching 1,000 active sellers, and risk-adjusted margins are now positive and improving. We’re building a network of sellers powered by a proprietary credit engine.",
    "one_liner": "Vendah is building a Faire-style marketplace for LATAM’s +50M…",
    "team_size": 8,
    "industry": "Consumer",
    "subindustry": "Consumer",
    "launched_at": 1669128714,
    "tags": [
      "Marketplace"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Active",
    "industries": [
      "Consumer"
    ],
    "regions": [
      "Brazil",
      "Latin America",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/vendah",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/vendah.json",
    "year_founded": 2021,
    "city": "São Paulo",
    "country": "BR",
    "linkedin_url": "https://www.linkedin.com/company/vendah/",
    "x_url": "",
    "fb_url": "https://www.facebook.com/vendahbr",
    "cb_url": "https://www.crunchbase.com/organization/vendah",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ad5862d29bcc7cc0ab3ae533342705aa27636764.png",
    "app_video_url": null,
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    "company_photos": [
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    ],
    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
    },
    "founders": [
      {
        "user_id": 1147419,
        "full_name": "Luis Felipe Franco",
        "title": "Founder",
        "founder_bio": "Founder and CEO of Vendah. With more than 13 years of entrepreneurship experience, created the biggest acceleration program in LATAM at Endeavor Brazil (Scale-up Endeavor). Ran growth for Sallve, a DTC beauty brand in Brazil. Passionate about what's new and how tech can transform real world problems. Actually living in São Paulo/Brazil.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/luisfelipefranco/",
        "x_url": "https://twitter.com/francolfelipe",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ecb3a9fcdf8a7046dd460edd97ee867ebbac289c.jpg"
      },
      {
        "user_id": 1163588,
        "full_name": "Marcelo Canovas",
        "title": "Founder",
        "founder_bio": "As a co-founder and COO at Vendah, a platform connecting entrepreneurs and consumers, I bring a strong background in industrial engineering and a track record of successfully building and leading teams. Prior to Vendah, I co-founded Liv Up, where I was responsible for marketing and digital product development. I have also founded a software house that provided CTO and CPO services to startups and entrepreneurs. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/marcelocanovas/",
        "x_url": "https://twitter.com/marcelo_canovas",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6039d48804606b7b9e875ef8e02bc0d4650aad47.jpg"
      },
      {
        "user_id": 1163814,
        "full_name": "Ilana Nasser",
        "title": "Founder",
        "founder_bio": "Graduated in IR and entrepreneurship from the University of Southern California, I began my career in agencies managing  large clients. Before founding Vendah, I was Endeavor Brazil's Director of Network Engagement, responsible for the sales and relations team with big corps and ambassadors of the organization. At Vendah, I am responsible for the experience of our resellers, guaranteeing they are hooked, motivated and our retention is high. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ilana-nasser-8ba4b020/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f3dfa4fdd659b23c232aaa2481dfe37b2600f52d.jpg"
      },
      {
        "user_id": 1164602,
        "full_name": "Pedro Pedruzzi",
        "title": "Founder",
        "founder_bio": "Co-founder and CTO of Vendah. I'm an engineering leader very passionate about building stuff, solving problems, designing systems and coding. Wrote my first dozen programs in 2001 at the age of 15. My work experience is broad from low-level embedded software to distributed systems; from startups (Vendah and BigoClub) to big tech (Amazon). Let's build the future and change the world!",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/pedro-pedruzzi",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7b575aeb83812672f9f002dd39438c4a82891f0b.jpg"
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    ],
    "jobs": [
      {
        "id": 77512,
        "title": "Business Analyst",
        "url": "https://www.ycombinator.com/companies/vendah/jobs/kQ7ArBf-business-analyst",
        "location": "São Paulo, SP, BR / São Paulo, State of São Paulo, BR",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$15K - $20K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
        "skills": [
          "SQL"
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    ],
    "news": [
      {
        "title": "Vendah levanta seed de R$ 12 milhões com Y Combinator",
        "url": "https://startups.com.br/ecommerce/vendah-levanta-seed-de-r-12-milhoes-com-y-combinator/",
        "date": "Aug 24, 2023"
      },
      {
        "title": "Os poucos brasileiros na peneira da YC",
        "url": "https://pipelinevalor.globo.com/startups/noticia/os-poucos-brasileiros-na-peneira-da-yc.ghtml",
        "date": "Apr 07, 2023"
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    ],
    "launches": [
      {
        "id": 68355,
        "title": "Vendah - Sell products, make money 🤑",
        "tagline": "All-in-one app transforming the reselling space and lives in LATAM",
        "body": "**tl;dr** Vendah helps women in LATAM make extra money by reselling kitchen and homeware to neighbors and friends. A reseller can take orders and collect payments with our mobile app - we then ship bulked products at once to a single reseller, and she'll take care of the last mile delivery, making the economics super attractive. We've already got **15,000 women** selling on our platform growing revenue consistently at a **25% monthly** pace with double-digit **positive gross margin**. \\\n**Download** **the app on** [**GooglePlay**](https://play.google.com/store/apps/details?id=br.com.vendah.app&hl=pt_BR&gl=US&pli=1)\n\n# Meet Vendah\n\nDon’t forget to turn on the translated subtitles\n\n<https://www.youtube.com/watch?v=lbolXe-Za0k>\n\n### **The problem** 👩\n\nHigh unemployment rate in LATAM \\\n50M women out of the workforce just in Brazil \\\nNeed for extra-income alternatives (mainly digital)\n\n### **The opportunity** 📱\n\nSocial selling - formal and informal - is huge in LATAM\\\nLow e-commerce penetration in LATAM (<10% of retail)\\\nWhatsApp is king in the region\n\n### **The solution** 🤩\n\nWe are building a platform that enables anyone to start reselling products and services on social media - specially WhatsApp - and make extra-money without any investment.\n\nWe provide: \\\n✔️ 100% digital experience through an easy-to-use app\\\n✔️ product selection by sourcing directly from importers and local manufacturers\\\n✔️ fulfillment solutions\\\n✔️ payment solutions\\\n✔️ credit and other financial services (in the future)\n\n![uploaded image](/media/?type=post&id=68355&key=user_uploads/1147419/731b8b10-cd3c-4e80-bfad-43f866691119)\n\n### **What’s special about us** ⭐\n\n**Low operational cost model** - by bulking orders into resellers home and making them do the last mile deliver\\\n**Higher margins** - by working with high margin products and by being a retailer sourcing the best opportunities directly from suppliers\\\n**Low inventory model** - by working with few hundreds SKUs and stocking only high sales frequency products\\\n**Proprietary tech systems** - by building customer facing and operational proprietary tech systems\n\n### **Our traction** 🚀 \n\n⭐ **15,000** women selling in our platform\\\n⭐ **25%** revenue growth monthly\\\n⭐ **Positive margins** after marketing expenses\n\n### **Our ask** 😄\n\n1. [Download](https://play.google.com/store/apps/details?id=br.com.vendah.app&hl=pt_BR&gl=US&pli=1) our app and feel free to share feedbacks ([founders@vendah.com.br](mailto:founders@vendah.com.br))\n2. Plase share our [job board](https://vendah.notion.site/Mural-de-Vagas-job-board-1708009e87ee4ea9953b4334a439f82d) (Portuguese only) with talented people you know and who may be interested in working at Vendah\n3. Do you have a e-commerce, marketplace or any other background related to Vendah? Would love to connect and share experiences ([founders@vendah.com.br](https://mailto:founders@vendah.com.br))",
        "url": "https://www.ycombinator.com/launches/HmV-vendah-sell-products-make-money",
        "votes": 48,
        "created_at": "2023-01-11T18:51:04.341Z"
      }
    ]
  },
  {
    "id": 27978,
    "name": "SuperKalam",
    "slug": "superkalam",
    "former_names": [
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      "Shaktimaan",
      "Kalam"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3e158289890d2edaade7efd0948c8b53b8775a93.png",
    "website": "https://superkalam.com",
    "all_locations": "Bengaluru, KA, India",
    "long_description": "Every student deserve personal attention. With AI, we can infinitely scale personalised learning experience at scale to every student. That's what we are building at SuperKalam.\r\n\r\n",
    "one_liner": "AI-Powered Super Mentor for Test Prep",
    "team_size": 20,
    "industry": "Education",
    "subindustry": "Education",
    "launched_at": 1676451110,
    "tags": [
      "AI-Enhanced Learning",
      "Education",
      "Edtech",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Active",
    "industries": [
      "Education"
    ],
    "regions": [
      "India",
      "South Asia"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/superkalam",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/superkalam.json",
    "year_founded": 2023,
    "city": "Bengaluru",
    "country": "IN",
    "linkedin_url": "https://www.linkedin.com/company/superkalam",
    "x_url": "https://x.com/SuperKalam_",
    "fb_url": "https://www.facebook.com/superkalamofficial",
    "cb_url": "https://www.crunchbase.com/organization/kalam",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3e158289890d2edaade7efd0948c8b53b8775a93.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [
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    ],
    "primary_partner": {
      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
    },
    "founders": [
      {
        "user_id": 990441,
        "full_name": "Vimal Singh Rathore",
        "title": "Founder",
        "founder_bio": "Founder & CEO, SuperKalam,\npreviously bootstrapped coursavy to a multi-million exit,\nfounding team member & growth leader at unacademy,\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/vimalsinghrathore",
        "x_url": "https://twitter.com/vimal8rathore",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/397d8b10eb31c769a9aa0421acc41565c20e2edf.jpg"
      },
      {
        "user_id": 594687,
        "full_name": "Aseem Gupta",
        "title": "Founder/CTO",
        "founder_bio": "Founder & CTO at SuperKalam,\npreviously in early engineering team at razorpay,\nhave built consumer products grossing $3B+ in transaction volume\n\n\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/-aseemgupta/",
        "x_url": "https://twitter.com/aseemgupta_",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/644d454b63b4e4e02288d3fd0295d652a5f7f857.jpg"
      }
    ],
    "jobs": [
      {
        "id": 64551,
        "title": "AI applied engineer - Voice first (Internship)",
        "url": "https://www.ycombinator.com/companies/superkalam/jobs/DKwCjWa-ai-applied-engineer-voice-first-internship",
        "location": "IN / Remote (IN)",
        "type": "Internship",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "₹25K - ₹40K INR",
        "equity_range": "",
        "experience": null,
        "visa": "US citizenship/visa not required",
        "skills": [
          "Node.js",
          "Python",
          "Machine Learning"
        ]
      },
      {
        "id": 66020,
        "title": "Product Designer (Internship)",
        "url": "https://www.ycombinator.com/companies/superkalam/jobs/MW7xgR6-product-designer-internship",
        "location": "Bengaluru, KA, IN / Bengaluru, Karnataka, IN / Remote (IN)",
        "type": "Internship",
        "role": "Design",
        "role_type": "Product design",
        "salary_range": "₹25K - ₹40K INR",
        "equity_range": "",
        "experience": null,
        "visa": "US citizenship/visa not required",
        "skills": [
          "Figma"
        ]
      },
      {
        "id": 67538,
        "title": "Mobile Engineer - React Native (Internship)",
        "url": "https://www.ycombinator.com/companies/superkalam/jobs/Umo6XZ4-mobile-engineer-react-native-internship",
        "location": "Bengaluru, KA, IN / Remote (Bengaluru, KA, IN)",
        "type": "Internship",
        "role": "Engineering",
        "role_type": "Android",
        "salary_range": "₹25K - ₹40K INR",
        "equity_range": "",
        "experience": null,
        "visa": "US citizenship/visa not required",
        "skills": [
          "Android",
          "iOS",
          "JavaScript",
          "React Native"
        ]
      },
      {
        "id": 71445,
        "title": "Growth (& Marketing) - Full Time - Bangalore",
        "url": "https://www.ycombinator.com/companies/superkalam/jobs/TnD8stj-growth-marketing-full-time-bangalore",
        "location": "Bengaluru, KA, IN",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "₹1M - ₹1.5M INR",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 81534,
        "title": "Product Designer (2 - 4yrs experience)",
        "url": "https://www.ycombinator.com/companies/superkalam/jobs/gvVQ5BQ-product-designer-2-4yrs-experience",
        "location": "Bengaluru, KA, IN",
        "type": "Full-time",
        "role": "Design",
        "role_type": "Product design",
        "salary_range": "₹1.8M - ₹2.5M INR",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizenship/visa not required",
        "skills": [
          "Design systems",
          "Figma"
        ]
      },
      {
        "id": 88014,
        "title": "Growth (& Marketing) - Internship (to PPO) - Bangalore",
        "url": "https://www.ycombinator.com/companies/superkalam/jobs/2ue7xrO-growth-marketing-internship-to-ppo-bangalore",
        "location": "Bengaluru, KA, IN",
        "type": "Internship",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "₹25K - ₹40K INR / monthly",
        "equity_range": "",
        "experience": null,
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 89358,
        "title": "Creative Strategist - Script (Performance Marketing) - SuperKalam (Bangalore)",
        "url": "https://www.ycombinator.com/companies/superkalam/jobs/BrZT6CO-creative-strategist-script-performance-marketing-superkalam-bangalore",
        "location": "Bengaluru, KA, IN / Bengaluru, Karnataka, IN",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "₹600K - ₹900K INR",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 89359,
        "title": "Aptitude Educator for CSAT UPSC (JEE, CAT, BITSAT cleared students can apply)",
        "url": "https://www.ycombinator.com/companies/superkalam/jobs/DNKFJaJ-aptitude-educator-for-csat-upsc-jee-cat-bitsat-cleared-students-can-apply",
        "location": "Bengaluru, KA, IN / Bengaluru, Karnataka, IN / Remote (US)",
        "type": "Contract",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "₹50K - ₹75K INR / monthly",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 90951,
        "title": "Mobile Engineer (React Native + Fullstack)",
        "url": "https://www.ycombinator.com/companies/superkalam/jobs/2gkQmXq-mobile-engineer-react-native-fullstack",
        "location": "Bengaluru, KA, IN",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "₹1.5M - ₹3.5M INR",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizenship/visa not required",
        "skills": [
          "Express",
          "Node.js",
          "PostgreSQL",
          "React Native",
          "Redis",
          "TypeScript",
          "Elasticsearch"
        ]
      },
      {
        "id": 91614,
        "title": "Content Editor & Visual Storyteller",
        "url": "https://www.ycombinator.com/companies/superkalam/jobs/RiljovE-content-editor-visual-storyteller",
        "location": "Bengaluru, KA, IN / Bengaluru, Karnataka, IN",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "₹700K - ₹1.1M INR",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 91616,
        "title": "UPSC Research & Content Associate (Full Time, Bangalore, India)",
        "url": "https://www.ycombinator.com/companies/superkalam/jobs/bITeWtf-upsc-research-content-associate-full-time-bangalore-india",
        "location": "Bengaluru, KA, IN / Bengaluru, Karnataka, IN / Remote (IN)",
        "type": "Full-time",
        "role": "Product",
        "role_type": null,
        "salary_range": "₹700K - ₹1.2M INR",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 92808,
        "title": "Founding Product Manager",
        "url": "https://www.ycombinator.com/companies/superkalam/jobs/W6Eoh7m-founding-product-manager",
        "location": "Bengaluru, Karnataka, IN",
        "type": "Full-time",
        "role": "Product",
        "role_type": null,
        "salary_range": "₹1.2M - ₹1.6M INR",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
          "SQL",
          "Data Analytics"
        ]
      }
    ],
    "news": [
      {
        "title": "SuperKalam Raises $2 Mn To Enhance Its AI-Led Educational Platform",
        "url": "https://inc42.com/buzz/superkalam-raises-2-mn-to-enhance-its-ai-led-educational-platform/",
        "date": "May 22, 2024"
      }
    ],
    "launches": [
      {
        "id": 81539,
        "title": "SuperKalam IAS: AI-powered personal super mentor for the UPSC exam",
        "tagline": "Check UPSC 2024 prelims answer keys, attempt & analyze paper",
        "body": "On impact of AI in education, **Bill Gates** said:\n\n> AI will eventually “be as good a tutor as any human ever could.” He cited, for example, the fact that most students can’t afford one-on-one private tutoring, leaving them without someone who can understand and adapt to their individual needs. Technology will ultimately fill that gap, AI-driven software will know your interests and your learning style so it can tailor content that will keep you engaged. It will measure your understanding. It will give immediate feedback, he said.\n\n## **AI x Education = SuperKalam**\n\nWe have built SuperKalam by thinking how education & learning can be delivered in the AI-first world.\n\nAt SuperKalam, we harness AI to democratize education, making it affordable and tailored to each student's needs. As an AI-driven personal mentor, SuperKalam helps students excel in the highly competitive UPSC Civil Services Examination.\n\nGuided by India’s top educators and the latest AI models, SuperKalam has already become the favorite personal mentor.\n\n![uploaded image](/media/?type=post&id=81539&key=user_uploads/990441/393a67be-37ed-4037-815d-7e9eb074867a)\n\n### [**Join Us for a LIVE Session with SuperKalam to Decode UPSC Prelims 2024**](https://superkalam.com/upsc-prelims-2024-answer-key)\n\nThe UPSC Prelims 2024 is scheduled for June 16th. As soon as the exam concludes at 4:30 PM, we will be hosting a LIVE session with SuperKalam AI and our expert team.\n\nThis session is designed to provide students with the Answer Key for UPSC Prelims 2024, detailed explanations, and real-time doubt resolution, apart from Standard Sources of the UPSC Prelims 2024 GS Questions.\n\nImagine getting instant feedback on the Prelims answers for UPSC 2024, understanding the nuances behind each question, and analyzing previous years' trends to better prepare for future attempts. This session is not just about getting answers; it's about learning and growing with each step.\n\n> On June 16th at 5 PM, [**join here**](https://superkalam.com/upsc-prelims-2024-answer-key) for a one of a kind Free LIVE session where SuperKalam will solve the UPSC Prelims 2024 paper in real-time.\n\nIf you are UPSC 2024 or 2025/26 aspirant, [**click here**](https://superkalam.com/upsc-prelims-2024-answer-key) to:\n\n* **Get the Answer Key for UPSC Prelims 2024**: Accurate and immediate.\n* **Receive Detailed Explanations**: Understand the reasoning behind each answer.\n* **Resolve Your Doubts in Real-Time**: Ask questions and get instant responses.\n* **Analyze Trends**: Compare with previous years to spot patterns and prepare smarter.\n\n> Whether you are looking for the GS Paper I Answers 2024 Prelims or want to solidify your preparation strategy for UPSC 2025-26, SuperKalam is here to guide you. Let's decode the UPSC Prelims 2024 together and set the stage for your success.\n\nAll the best.\n\nContact: ask@kalam.in",
        "url": "https://www.ycombinator.com/launches/LD9-superkalam-ias-ai-powered-personal-super-mentor-for-the-upsc-exam",
        "votes": 18,
        "created_at": "2024-06-15T20:07:53.746Z"
      },
      {
        "id": 73599,
        "title": "SuperKalam: AI-Powered Learning, Human-Driven Success",
        "tagline": "Solving the challenges of affordability and accessibility to great teachers in India",
        "body": "In India, more than 5 million students set their sights on top careers in Engineering, Medicine, and Civil Services each year. However, they face significant hurdles in finding great mentors and teachers. [SuperKalam](https://superkalam.com/), a revolutionary AI-backed education initiative, comes to the rescue, empowering students with access to personalized mentorship in a discipline-inculcating learning ecosystem.\n\n> SuperKalam prepares study plans and sets daily targets based on a student's progress, keeping track of common mistakes, performance and time spent on specific concepts or subjects. This innovative approach is already working wonders, and the aim is to scale this to reach 5 million students in India, starting with the Indian Civil Services Examination (UPSC).\n\nRead on to discover the magical superpowers of SuperKalam!\n\n[Vimal](https://www.linkedin.com/in/vimalsinghrathore/), alongside [Aseem](https://www.linkedin.com/in/-aseemgupta/), is the driving force behind building superkalam.com\n\nVimal, one of India’s top educators for more than 7 years, has witnessed the rise of edtech from the unique perspective of both founder and teacher during his tenure at unacademy and subsequently while building out his first startup in education, [coursavy (acquired by unacademy)](https://inc42.com/buzz/edtech-unicorn-unacademy-acquires-upsc-test-prep-platform-coursavy/)\n\n![uploaded image](/media/?type=post&id=73599&key=user_uploads/990441/aa5fca7e-ed8d-4ee3-9485-5a3f8b486782)\n\nCurrent Edtech solutions primarily involve one-way content delivery, where thousands of students merely consume the content without engaging in effective discussions with the teacher. This leads to a loss of curiosity and, eventually, to poor learning outcomes. Furthermore, an excess of content leads to a multitude of choices, often resulting in confusion and chaotic, unplanned preparation.\n\n**SuperKalam steps in to solve these issues with simplicity and focus.** Vimal has championed this process through his education initiatives over the past decade. Now, leveraging the latest AI technology, SuperKalam is fully equipped to scale founder’s counter-intuitive insights and learnings to assist millions of students in India, starting with the UPSC exam.\n\n### **Solution**\n\nWondering about the superpowers of SuperKalam? Let's uncover the magic.\n\nIt assists in creating a **personalised timetable**, sending **daily targets**, and tracking progress throughout the learning journey.\n\n![uploaded image](/media/?type=post&id=73599&key=user_uploads/990441/42988042-7dd4-41a8-854a-36180d858340)\n\nIt helps resolve doubts, aids in mastering concepts, and can **evaluate** a UPSC student’s handwritten answer in less than 60 seconds — a process that typically takes 2-4 weeks in the current education market.\n\n![uploaded image](/media/?type=post&id=73599&key=user_uploads/990441/bb9f8270-0139-4d0a-9f06-e9f5a506b94c)\n\nIt conducts **mock tests**, identifies students' strengths and weaknesses, and provides **progress reports** that foster self-awareness, unlocking their full potential.\n\n![uploaded image](/media/?type=post&id=73599&key=user_uploads/990441/8b7f2fdc-f768-407c-8266-ae3bf70607ff)\n\nDo share your experience or feedback with us at [vimal@kalam.in](mailto:vimal@kalam.in)\n\nSocial Media Pages:\n\n[Youtube](https://www.youtube.com/@superkalam_?sub_confirmation=1)  |  [Twitter](https://twitter.com/SuperKalam_)  \\\n\\\n**Thankyou!**",
        "url": "https://www.ycombinator.com/launches/J95-superkalam-ai-powered-learning-human-driven-success",
        "votes": 155,
        "created_at": "2023-07-31T13:48:28.716Z"
      },
      {
        "id": 69590,
        "title": "qoohoo - monetize your audience across all platforms",
        "tagline": "experience swift monetization tools to scale your revenue as a creator.",
        "body": "**tl;dr:** qoohoo helps creators to grow, manage and monetise their audience across all platforms. Creators on qoohoo earn swiftly from their micro-content, courses & subscriptions directly on Whatsapp and Telegram unlocking massive growth potential. **Check out our** [**product**](https://qoohoo.in/)**.**\n\nHello everyone, we are [Aseem](https://bookface.ycombinator.com/user/594687) & [Vimal](https://bookface.ycombinator.com/user/990441), the team behind [qoohoo](https://qoohoo.in/).\n\n![uploaded image](/media/?type=post&id=69590&key=user_uploads/990441/0058114c-2b3e-4ddd-aeee-90f327d47b20)\n\n### **Problem**\n\nCommunities on Telegram and WhatsApp have been growing at a rapid pace, especially in the last few years. Creators tend to bring their audience from social media to messaging apps, but they don't have a way to monetize or manage them effectively. \n\nThey are currently managing their backend operations in a chaotic, error-prone, and time-consuming way, manually handling payments and adding/removing users separately.\n\n![uploaded image](/media/?type=post&id=69590&key=user_uploads/990441/010078e6-3abc-4907-9a23-f8702f004f53)\n\nBesides monetisation, creators need help with _audience growth, retention_, and _reactivation_. **They are missing critical audience insights, behaviour and nudges to grow their business effectively to their full potential.**\n\nThis problem was first faced by Vimal while running his edtech startup - coursavy, where communities of students & LIVE courses were the core. He used to create a telegram channel for each course and manually managed the operations. His brother is also a [_YouTuber in music learning_](https://www.youtube.com/@MusicwaleLessons/featured) facing similar issues while running classes on Whatsapp.\n\nThis experience gave us a ring-side view of the problem and the scale.\n\n### **Solution**\n\n![uploaded image](/media/?type=post&id=69590&key=user_uploads/990441/92fd5d84-0568-4e39-a74a-0af7b6787233)\n\nCreators on qoohoo can quickly launch their micro-content, courses & subscriptions directly on Whatsapp and Telegram unlocking massive growth potential.\n\nIf we take simplicity & speed into account, _what whatsapp is for personal communication, qoohoo is for creators. It’s that simple!_\n\nIn February alone, our creators are earning close to **$500K** in the field of Art, Music, Education and Finance.\n\n_One of our_ creators’ earnings has surged from **$10K** to **$125K** per month in just 10 months of using our product. She leverages YouTube for distribution and qoohoo for monetization.\n\n### **Ask & Deal**\n\nToday we are launching our global version, now anyone across any nation can use qoohoo easily. This is a beta release, we will keep on adding all the new tools going forward.\n\n**Check out our product** at <https://qoohoo.in/>\n\n* It will be super nice if you could use our product & share your experience, we are available at [founders@qoohoo.in](mailto:founders@qoohoo.in)\n* If you have creators or startups in your circle who are running their communities & courses, do connect us with them. (We have special offers for YC companies & referrals :)\n\nLet's keep building and moving forward! Thanks for your support. 🙏",
        "url": "https://www.ycombinator.com/launches/I6Q-qoohoo-monetize-your-audience-across-all-platforms",
        "votes": 366,
        "created_at": "2023-02-23T14:45:45.871Z"
      }
    ]
  },
  {
    "id": 27984,
    "name": "Sirdab",
    "slug": "sirdab",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/eada3acac55ff8d8af7dff49cd0248aa507d6317.png",
    "website": "https://sirdab.co/en",
    "all_locations": "Riyadh, Riyadh Province, Saudi Arabia",
    "long_description": "Sirdab is a tech-ops focused startup offering cloud warehousing and transportation / logistics solutions. We have built an end-to-end logistics platform that allows businesses to acquire dry, ambient, chilled and frozen warehousing space within 48 hours as well as manage, optimize and distribute inventory via a single platform.",
    "one_liner": "Cloud warehousing & supply chain platform in MENA",
    "team_size": null,
    "industry": "B2B",
    "subindustry": "B2B -> Supply Chain and Logistics",
    "launched_at": 1670529634,
    "tags": [
      "Warehouse Management Tech",
      "B2B",
      "Logistics"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Active",
    "industries": [
      "B2B",
      "Supply Chain and Logistics"
    ],
    "regions": [
      "Saudi Arabia",
      "Middle East and North Africa",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/sirdab",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/sirdab.json",
    "year_founded": 2022,
    "city": "Riyadh",
    "country": "SA",
    "linkedin_url": "https://www.linkedin.com/company/usesirdab",
    "x_url": "https://mobile.twitter.com/usesirdab",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/sirdab",
    "github_url": "https://github.com/sirdab",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/eada3acac55ff8d8af7dff49cd0248aa507d6317.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": null,
    "founders": [
      {
        "user_id": 456006,
        "full_name": "Naif Alzahri",
        "title": "Founder",
        "founder_bio": "",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/nayif/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/91eac320b364bcedd93b811d613737f6c9341a40.jpg"
      },
      {
        "user_id": 1151964,
        "full_name": "Abdulrahman Alnamlah",
        "title": "Founder",
        "founder_bio": "",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/abdulrahman-alnamlah/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fd3d9ac0f86b7b4e5ce9108b80564e82dde32ce7.jpg"
      }
    ],
    "jobs": [
      {
        "id": 61142,
        "title": "Operations Manager ",
        "url": "https://www.ycombinator.com/companies/sirdab/jobs/GhCW6uL-operations-manager",
        "location": "SA",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 61143,
        "title": "Fullstack Software Engineer",
        "url": "https://www.ycombinator.com/companies/sirdab/jobs/akz5rRe-fullstack-software-engineer",
        "location": "SA / Remote (EG)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizenship/visa not required",
        "skills": [
          "Ruby",
          "Ruby on Rails"
        ]
      },
      {
        "id": 61144,
        "title": "Business Development Specialist",
        "url": "https://www.ycombinator.com/companies/sirdab/jobs/Fl3AelN-business-development-specialist",
        "location": "SA",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 61147,
        "title": "Product Design ",
        "url": "https://www.ycombinator.com/companies/sirdab/jobs/4IEpJgf-product-design",
        "location": "SA / Remote",
        "type": "Full-time",
        "role": "Design",
        "role_type": "Product design",
        "salary_range": "",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 61999,
        "title": "Sr. Frontend Engineer",
        "url": "https://www.ycombinator.com/companies/sirdab/jobs/RaVdXYw-sr-frontend-engineer",
        "location": "Riyadh, Riyadh Province, SA / Remote",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Frontend",
        "salary_range": "",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 62158,
        "title": "Sr. Mobile Developer",
        "url": "https://www.ycombinator.com/companies/sirdab/jobs/pEZRFiY-sr-mobile-developer",
        "location": "Riyadh, Riyadh Province, SA / Remote",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "iOS",
        "salary_range": "",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 66264,
        "title": "Marketing Specialist / Intern ",
        "url": "https://www.ycombinator.com/companies/sirdab/jobs/kkBqgjK-marketing-specialist-intern",
        "location": "Remote (Riyadh, Riyadh Province, SA)",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 70086,
        "title": "Sirdab - Cloud warehousing & transportation services in MENA",
        "tagline": "The smartest way to store, manage, optimize, and distribute inventory in MENA",
        "body": "**👋 Hi everyone, we are Naif & Abdulrahman from Sirdab.**\n\n**TL;DR:** Sirdab makes it easy for businesses to acquire dry, ambient, chilled and frozen warehousing space and hire fleets to move inventory through a single dashboard. Today, we manage over 50 warehouses, totaling 400k square meters of space, in 8 cities in Saudi Arabia. \n\n**❌ Problem – Storing and moving inventory in MENA is challenging**  \n\n**1\\. Difficulty in finding suitable solutions:** The conventional approach for businesses is to rent, equip, and operate their own warehouses. The available options are often difficult to discover online and frequently surpass the actual space needs for the business, resulting in underutilized facilities. On the other hand, businesses seeking third-party logistics (3PL) services face a similar challenge in locating a reliable and trustworthy partner.\n\n**2\\. Lack of short-term options:** Regardless of whether a business opts to rent its own warehouse or utilize a third-party logistics provider, it will likely be bound by long-term agreements with limited flexibility.\n\n**3\\. Inefficient inventory management:** As businesses grow, managing inventory across multiple locations becomes increasingly complex and inefficient. Unfortunately, many businesses still resort to using spreadsheet-based methods to manage inventory, lacking a clear record of their inbound and outbound transactions.\n\n**4\\. Challenges in inventory distribution:** For both wholesale and store distribution in Saudi, businesses often face the dilemma of either committing to lengthy contracts or operating their own fleets with subpar utilization efficiency.\n\n**✨ Solution – Hassle-free cloud warehousing & transportation through one platform 🚛**\n\n**1\\. Variety of warehousing space options:** Quickly find and secure dry, ambient, chilled and frozen warehousing space across 8 cities in MENA within 48 hours, for any space you need, starting with 10 square meters.\n\n**2\\. Flexible short-term contracts:** Whether you need the space for a month or a year, we got you covered. Our contracts include options for month-to-month, 6-month, and 12-month durations.\n\n**3\\. Streamlined inventory management:** Have a 360-degree view on your inventory list, track all historical movements, analyze consumption and get notified on shortages. \n\n**4\\. Wide-ranging transportation offerings:** Access a range of FTL, LTL freight offerings as well as parcel and last-mile carriers for store distribution. \n\n![uploaded image](/media/?type=post&id=70086&key=user_uploads/456006/6865d6e7-e9e0-425f-8a92-a473933dbaea)\n\n**💵 Bottom line impact based on traction:** \n\n**Warehousing cost for merchants:** Based on 80+ active clients, Sirdab customers see an average reduction in warehousing costs by 27%. \n\n**Transportation for merchants:** Aside from enhancing delivery times & quality, Sirdab customers have experienced an average decrease in their bulk and last-mile transportation expenses by 12%.\n\n**Warehousing operations for partners:** Along with boosting income and maximizing use of space, our partners are able to streamline their operations, monitor the time needed for order preparation, and have automated billing processes. \n\n**🤝 Quick Ask**\n\n* Spread the word!\n* Follow our journey on [LinkedIn](https://www.linkedin.com/company/usesirdab/) & [Twitter](https://twitter.com/usesirdab?lang=en)\n* If you currently work with a 3PL in the region, or need warehousing space, we would love to chat with you or the appropriate person at your company. Email us at [naif@sirdab.co](mailto:naif@sirdab.co) / [abdulrahman@sirdab.co](mailto:abdulrahman@sirdab.co)",
        "url": "https://www.ycombinator.com/launches/IEQ-sirdab-cloud-warehousing-transportation-services-in-mena",
        "votes": 42,
        "created_at": "2023-03-09T07:32:22.536Z"
      }
    ]
  },
  {
    "id": 28019,
    "name": "inBuild",
    "slug": "inbuild",
    "former_names": [
      "inBuild, Inc."
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/565db1f58d2ff6409bb5c8eb3aefcdbc3f515329.png",
    "website": "https://www.inbuild.ai/",
    "all_locations": "Wilmington, DE, USA; San Francisco, CA, USA; Aspen, CO, USA",
    "long_description": "inBuild boosts revenue for home builders by automating the thousands of invoices they receive for every project.  For example, when a subcontractor sends an invoice for work they completed, inBuild checks the cost against the project budget, handles any approvals, pays the bill, and updates Quickbooks.",
    "one_liner": "Workflow Automation for Construction Finance ",
    "team_size": 12,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1671544099,
    "tags": [
      "AI-Enhanced Learning",
      "Fintech",
      "Payments",
      "Construction",
      "Proptech"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": [
      {
        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "After working as the financial controller for a large general contractor in Aspen, Ty concluded that construction finances have unusually complex life cycles and very antiquated and disparate solutions. He was frustrated after trying every software available in pursuit of solving the problem for the GC.  Ty went to his brother Ian who was assisting in the acquisition of Finvera, a San Francisco-based startup. He presented the idea of starting their own company to build a platform that solved the problems Ty felt firsthand. "
      },
      {
        "question": "How have you kept in touch with the YC community and continued to use YC resources & programs since the batch ended?",
        "answer": "We’re inspired and motivated by the success stories of Y Combinator alumni, like Stripe, PlanGrid, Balance, and so many others. Our goal is for inBuild to one day be as recognizable as these brands."
      }
    ],
    "url": "https://www.ycombinator.com/companies/inbuild",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/inbuild.json",
    "year_founded": 2021,
    "city": "Wilmington",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/inbuildai",
    "x_url": "https://twitter.com/inBuildai",
    "fb_url": "https://www.facebook.com/inbuildai/",
    "cb_url": "https://www.crunchbase.com/organization/inbuild",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/565db1f58d2ff6409bb5c8eb3aefcdbc3f515329.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [
      "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/875592d00dd8384733ae6195339cef74a9c83eee.png",
      "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/9adcf53414f51f23528554f41094d52b1bfc7721.png"
    ],
    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
    },
    "founders": [
      {
        "user_id": 1115776,
        "full_name": "Ty Sharp",
        "title": "Founder",
        "founder_bio": "Co-Founder & CEO at inBuild. \n\nPreviously CFO at Sweeney Development, an Aspen-based General Contractor building $350M in construction volume. \n\nExpressing my creativity through building things that people love. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ty-sharp-59b907123/",
        "x_url": "https://twitter.com/TySharp_iB",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0785b1afc15abda180559ab1e04b44c3910316f9.jpg"
      },
      {
        "user_id": 1128556,
        "full_name": "Ian Sharp",
        "title": "Founder",
        "founder_bio": "Co-Founder of inBuild. Supercharging financial management for builders.",
        "is_active": true,
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        "body": "Hi there! [Ty](https://twitter.com/tysharp_ib) and [Ian Sharp](https://twitter.com/iansharp_iB) here from [inBuild](https://www.inbuild.ai/).\n\nOur team is building a platform that automates the workflow of financial documents by plugging into email accounts, extracting incoming documents, and processing them all the way into existing accounting systems.\n\n![uploaded image](/media/?type=post&id=70189&key=user_uploads/1115776/47d121da-2a70-4dfb-b36e-9af7ab09ab36)\n\nOver the last 12 months, inBuild has processed over $450M of invoice volume with over $8M flowing through the platform daily.\n\nCustomers rave about inBuild saying:\n\n“You often hear 'under promise and over deliver'. I don't believe that is the business model of inBuild, but they continually over-deliver.“ - Joey Zikor, CFO at [Finbro Construction](https://www.finbroconstruction.com/)\n\n### Problem\n\nFinancial management should be seamless, but construction companies are faced with…\n\n* high document volumes.\n* no industry standardizations.\n* complicated approval workflows.\n* outdated legacy software (yuck 🤮)\n\n![uploaded image](/media/?type=post&id=70189&key=user_uploads/1115776/b71952c8-eb4d-4d6c-bc97-8c2b92c153df)\n\n### Solution\n\nA simple interface that works for you not against you, by…\n\n* ingesting incoming emails.\n* customizing account details.\n* learning from interaction.\n* automating document lifecycles.\n\n![uploaded image](/media/?type=post&id=70189&key=user_uploads/1115776/c39a25f3-9256-4a43-8e2d-ce0546f5c823)\n\n### Team\n\nTy was the CFO of a large luxury home builder and was working with real estate developers that collectively process over $250M in construction volume each year. His brother Ian was the Director of Growth at Gainfully, a Series A startup based in the Bay Area, and assisted in the company's successful acquisition.\n\nThe brothers teamed up to tackle this challenge after cold-calling over 2,000 home builders. What they learned was that a custom home takes 18-24 months to build and during that time the contractor will receive more than 18,000 invoices from vendors and subs, each with as many as 100 line items that all need to be verified and cross-checked to budgets and contracts. The process desperately needs to be automated and we have the backgrounds to make that happen.\n\n![uploaded image](/media/?type=post&id=70189&key=user_uploads/1115776/441f1209-cad6-4c31-a995-f7b161c267c0)\n\n### Asks\n\nPlease reach out if you know any…\n\n* [referrals to home builders](mailto:sales@inbuild.ai).\n* [talented individuals looking for work](https://www.ycombinator.com/companies/inbuild/jobs).\n* [connections to investors](mailto:founders@inbuild.ai).",
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        "url": "https://techcrunch.com/2024/08/28/pylon-lands-17m-investment-to-build-a-full-service-b2b-customer-service-platform/",
        "date": "Aug 28, 2024"
      },
      {
        "title": "Pylon wants to make it easier to manage B2B conversations in Slack | TechCrunch",
        "url": "https://techcrunch.com/2023/07/11/pylon-wants-to-make-it-easier-to-manage-b2b-conversations-in-slack/",
        "date": "Jul 11, 2023"
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    "name": "Clad",
    "slug": "clad",
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    "long_description": "Clad is project management and billing software for infrastructure.\r\n\r\nThe world is rebuilding its internet and power networks. The utilities, internet companies, and contractors tasked with this work face immense pressure to deliver.\r\n\r\nBut their tools haven’t caught up. Contractors struggle to grow, constrained by cashflow. Operators fly blind, lacking real time visibility into issues. \r\n\r\nClad unifies project operations and finance to automate project tracking, payments, and permitting.\r\n\r\nWith Clad, contractors grow faster and improve their margins. Operators execute smoothly. And everyone can focus on what’s most important - building.",
    "one_liner": "Project management software for building infrastructure.",
    "team_size": 7,
    "industry": "Real Estate and Construction",
    "subindustry": "Real Estate and Construction -> Construction",
    "launched_at": 1672801770,
    "tags": [
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    "country": "US",
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        "full_name": "Jason Rudin",
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      {
        "id": 93588,
        "title": "Clad Locates: AI for Infrastructure Contractors",
        "tagline": "Clad Locates helps excavators submit and track 811 tickets.",
        "body": "I’m excited to announce our newest product - [**Clad Locates**](https://www.withclad.com/locates/overview)\n\n**Clad Locates is an AI-assisted tool that helps contractors create and manage utility locate requests (811 tickets).** \n\nWe’re live in Alabama right now, and will expand to more states soon.\n\n### The Problem\n\nContractors dig all the time - to place internet cables, upgrade pipes, build fences, and more. \n\nBefore a contractor can begin excavating, they are required to call in a utility locate request. This is to make sure the contractor digs safely - that they won’t hit a gas pipe, for example.\n\n![uploaded image](/media/?type=post&id=93588&key=user_uploads/448610/eb053624-67ff-4b07-8abf-d10ece228cb4)\n\nFor contractors, handling these tickets is critically important, but a pain:\n\n1. Submitting tickets takes a lot of time and distracts project managers from higher value work.\n2. Making sure tickets don’t expire is also necessary, so contractors avoid a ‘down day’ (a day where they can’t work, due to an expired 811 request). \n\nWith 43M tickets submitted last year by tens of thousands of contractors, this is not a small problem.\n\nSo we decided to fix it.\n\n### We’ve made handling locates a breeze for contractors\n\nhttps://youtu.be/Y04NyOXGt2o\n\nWe built Clad Locates to make it fast and easy to submit and track 811 tickets.\n\n1. **AI-driven narratives -** We use AI to eliminate the most time consuming part of submitting a ticket, writing a ‘narrative,’ (to describe the path that a contractor will excavate.\n2. **Bulk Submission -** Clad connects with the state 811 systems to submit tickets automatically, 1 ticket at a time or 15 all at once.\n3. **Automated Tracking -** We get data from the state 811 systems to build an automated automated tracker to monitor when areas are ready to dig, and when tickets will be expiring.\n4. **Expiration Notifications** - To prevent ‘down days,’ Clad notifies contractors when tickets are expiring and need to be renewed. Soon, contractors will be able to renew tickets directly from Clad. \n\n### Join our waitlist and reach out!\n\nReach out to us at jason@withclad.com, or sign up on our [website](https://www.withclad.com/locates/overview) to learn more.",
        "url": "https://www.ycombinator.com/launches/OLU-clad-locates-ai-for-infrastructure-contractors",
        "votes": 11,
        "created_at": "2025-09-04T19:23:52.719Z"
      },
      {
        "id": 69535,
        "title": "Clad - Software to manage telecom subcontractors",
        "tagline": "We help telecom companies lay fiber faster with software to bid, manage, and pay their construction subcontractors.",
        "body": "> _tl;dr:_ [_Clad_](https://www.withclad.com?utm_source=launch_yc&utm_medium=link_in_post&utm_campaign=022223_launchyc) _is a subcontractor management platform. We help telecom companies construct their networks faster, cheaper, and with fewer costly issues. Clad does this by streamlining everything from bidding through payments, all in one system._ \n\n> _Know anyone who works at a telco or data center?_ [_Reach out_](mailto:jason@withclad.com)_!_\n\n### The Problem\n\nDemand for high speed internet is accelerating, driven by the rise of remote work alongside new public and private investment. As a result, ISPs, data centers, and other operators are rapidly expanding their networks. \n\nTelcos rely on contractors to get this construction done. And with the rapid growth in deployments, there’s more need for them than ever before. As a result, telcos are struggling to find and retain enough high quality contractors, putting budgets and timelines at risk.\n\nIt’s no surprise telcos are having a tough time - the way they work with their subcontractors is broken at every step of construction:\n\n![](https://lh6.googleusercontent.com/T6CNj3VYdBdETF7lwV9IKA95DtBujw8pMwGmLEi3qpbrgmZidTyIJwn-NEh1WiEjORDd6hCEmT7L6cKdGhuDOjE7EcBcb_WOQciZj0f9Fwbc2j6Y-8Abh8TomWsj7ScYzKpt7qyqKi8BZbo_Va3cByQ)\n\n### Enter: Clad\n\nClad is a subcontractor management platform tailor-made for telecom construction. We streamline how telecom companies bid out and qualify subcontractors, track construction progress, and create, approve, and pay invoices too.\n\nOur entire goal is to eliminate the time consuming back-office functions that come from working with subcontractors. \n\nCurious how? Take a look 👇\n\nWith Clad, telcos get out of email and spreadsheets - speeding projects up, saving money, and getting the insights to improve construction over time:\n\n![](https://lh3.googleusercontent.com/ZFyNTkN1ZWfSZ60KsUFm_ibKme0xQLMg600PJ1dR0nF3_sjSrhFZQyCw6jHCP6QOJX85VotA6K2sbE0u-mN6-FlJt-XlcrXmYAiOGXnmP34rvHK8nIoThCUeV6UumCuj3Rh0iGlg-Y4xq-CgTz_Yj7U)\n\n_I’m_ [_Jason_](https://www.linkedin.com/in/jasonrudin/)_, and I started Clad because growing up, I saw first-hand how time consuming and painful it can be to work with subcontractors. When I was younger, my mom worked at a telco. I’d regularly hear stories about projects that were delayed or over budget because of miscommunications or errors with contractors. Last year I met two friends in telco who were complaining about the same problems as my mom. Hearing that, I dug in to learn more, and was shocked to learn that not much had changed in the decades since then. I’m building Clad to change this status quo._\n\n_I’m excited to build Clad because today, it remains too hard to build new things. And with high quality effective tools, we can get more done, faster._\n\n### You can help!\n\n1. **Share this post** - you never know who knows someone in telecom\n2. **Connect** Clad to General Contractors, ISPs, data centers, or anyone else in telecom construction at [jason@withclad.com](mailto:jason@withclad.com)\n\n_Thanks!_",
        "url": "https://www.ycombinator.com/launches/I5X-clad-software-to-manage-telecom-subcontractors",
        "votes": 116,
        "created_at": "2023-02-22T14:42:46.583Z"
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    "website": "https://www.usehelios.ai/",
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    "long_description": "Helios builds AI-powered digital workers that automate B2B operations for companies.",
    "one_liner": "Create your AI workforce",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B",
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    "url": "https://www.ycombinator.com/companies/helios",
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        "full_name": "Eric Yáñez",
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        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ericyanezl/",
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        "url": "https://www.ycombinator.com/companies/helios/jobs/VTWZcNb-software-engineer-full-stack",
        "location": "Mexico City, CDMX, MX / Mexico City, Mexico City, MX",
        "type": "Full-time",
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        "equity_range": "0.50% - 1.00%",
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    "name": "Invopop",
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    "website": "https://www.invopop.com/",
    "all_locations": "Madrid, Community of Madrid, Spain",
    "long_description": "Invopop helps global companies like SumUp, Fever, and DeepL manage electronic invoicing across more than 25 countries through a single API.\r\n\r\nIn the next five years, over 40 countries—including all EU member states—will require businesses to issue invoices electronically and report them in real-time to tax authorities. Instead of building and maintaining numerous local integrations, global companies can integrate just once with Invopop, streamlining compliance and saving time.",
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    "year_founded": 2021,
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    "country": "ES",
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        "full_name": "Juan Moliner Malaxechevarría",
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        "is_active": true,
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        "full_name": "Sam Lown",
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        "founder_bio": "Software developer. CTO Founder of Cabify, Spain's first tech unicorn.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/samlown/",
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        "title": "Graduate Product Engineer",
        "url": "https://www.ycombinator.com/companies/invopop/jobs/Q4bZCh3-graduate-product-engineer",
        "location": "Madrid",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "€45K EUR",
        "equity_range": "0.10% - 0.50%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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        "id": 90372,
        "title": "Staff Product Engineer",
        "url": "https://www.ycombinator.com/companies/invopop/jobs/fc0Rc19-staff-product-engineer",
        "location": "Madrid",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "€90K - €140K EUR",
        "equity_range": "0.20% - 1.00%",
        "experience": "11+ years",
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        "id": 68825,
        "title": "Invopop - Global sales tax compliance with a single integration",
        "tagline": "Invopop helps companies comply with global Sales Tax/VAT reporting requirements.",
        "body": "Hey YC! 👋 \\\nWe are Sam and Juan, co-founders of [Invopop](https://www.invopop.com/), and we are on a mission to simplify Sales Tax/VAT compliance, globally.\n\n### **🧨 The problem: new sales reporting requirements**\n\nTax authorities around the world are starting to require that companies report **every sale**, in **real-time** for tax recording purposes. Yes, every **single transaction,** in real-time (i.e. **electronic invoicing**)\n\nThis is **already required** in most **LatAm** countries and India, and the majority of **European countries** are making it mandatory in the next **1-3 years**.\n\n![uploaded image](/media/?type=post&id=68825&key=user_uploads/1138452/fcc7d3af-be8e-41da-9e85-45dd7b4b4286)\n\n## **🎉  Our solution: one API, global compliance**\n\nOur API receives the information of a **sale in a simple open-source format** and **converts it to a locally-compliant invoice,** including\n\n* Sync with tax authorities reporting requirements (e-invoicing).\n* Generate a custom-branded PDF invoice and send it to customers.\n* Integrate with the company’s stack (e.g. ERP, billing, payments, reconciliation).\n\n![uploaded image](/media/?type=post&id=68825&key=user_uploads/1138452/457c38ec-ba3d-49b8-a18c-4f8e1ddc7fef)\n\nInvopop is already live in **Colombia, Spain & Portugal**. Many more coming soon: Mexico, Italy, Peru…\n\n### **🚀 Why we built Invopop**\n\n**Sam** was previously **co-founder & CTO of Cabify**, and as they expanded to LatAm, complying with the e-invoicing requirements became a nightmare. As he could not find a global provider to solve this, he built Invopop.\n\n**Juan** worked as a **consultant in Mexico** and was blown away by how complex the e-invoicing system was. When he learned this is becoming mandatory in Europe, he knew Invopop was needed!\n\n### **🙏🏼 Ask**\n\nIf you want to make sure your company complies with the new regulation: Schedule a demo with us [here](https://savvycal.com/juan-moliner/15min-public)!",
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        "created_at": "2023-01-30T01:47:23.981Z"
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    "launched_at": 1675129787,
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    "year_founded": 2022,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/rivet-gg",
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      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
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        "user_id": 1202740,
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        "body": "**TL;DR:** [_Rivet_](https://rivet.gg) makes it easy to run multiplayer games with managed game servers, matchmaking, and DDoS mitigation. Contact us at [_yc@rivet.gg_](mailto:yc@rivet.gg) to get access to the closed beta!\n\n![uploaded image](/media/?type=post&id=70240&key=user_uploads/1203698/e8281ea7-b796-4b7d-83e1-91367747b058)\n\n[**Rivet**](https://rivet.gg) **is trusted by publicly traded companies to indie studios to serve millions of monthly players on our infrastructure.**\n\n**The Team**\n\nIn high school, we procrastinated our homework by building and launching multiplayer games together for fun. We always wanted to make building multiplayer games more accessible, so we started Rivet to do exactly that.\n\n![uploaded image](/media/?type=post&id=70240&key=user_uploads/1203698/b4463d5c-b8d6-4fe2-9e89-268db904ebfa)\n\n**Together, we built a small game studio and launched 4 games with one acquisition.**\n\n[Nathan](https://www.linkedin.com/in/nathanflurry/) (right) independently built infrastructure serving over 15M MAU & 20k concurrent players while still in high school on games like [Krunker.io](http://Krunker.io) (acquired by FRVR). He was an Apple WWDC scholar from 2016-2018 and was featured in TechCrunch for his visual programming language.\n\n[Nicholas](https://www.linkedin.com/in/nicholaskissel/) (left) was a PM at the [Paradox.ai](http://Paradox.ai) R&D department to help built AI HR solutions for companies like McDonalds. He continued to work at Addicting Games as a PM on multiple multiplayer games and helped launch [Apes.io](http://Apes.io), a cutting-edge browser-based battle royale.\n\n**The Problem**\n\nModern games need game servers to support large lobbies, anti-cheat, low latency, and mobile platforms. **The need for game servers is growing, but** **studios have to build their own game server infrastructure from scratch.**\n\nTherefore, **studios spend more time building in-house game server infrastructure than adding content** when trying to launch games with game servers. This makes it unreasonably difficult for small to medium-sized studios to launch and maintain these types of games.\n\n**Our Solution**\n\n![uploaded image](/media/?type=post&id=70240&key=user_uploads/1203698/5918c6af-05a5-404b-943a-66c4ccc9c276)\n\n**We make it easy for game developers to run their game servers on **[**Rivet**](https://rivet.gg)**.** We take care of auto-scaling servers, matchmaking, and DDoS mitigation so the developer can focus on adding content. Rivet works with all major game engines and custom server code.\n\n**Integrating Rivet into a game takes 4 lines of code in any language.** We provide no-downtime deploys with easy rollbacks.\n\n![uploaded image](/media/?type=post&id=70240&key=user_uploads/1203698/49c025ec-b2b3-4148-8f08-55625dca99a6)\n\nOnce a game is up and running, Rivet provides a sleek dashboard for operating the game and streamlining DevOps. Developers can manage their lobbies, view analytics, rollback versions, diagnose crashes, and manage namespaces.\n\n![uploaded image](/media/?type=post&id=70240&key=user_uploads/1203698/3fe4f55a-dc32-42b0-a444-4de15f618120)\n\nWant to see Rivet in action? Watch our [3-minute crash course](https://www.youtube.com/watch?v=pBE7s-PK0j0)!\n\n**Our Ask**\n\nIf you or a friend is building a multiplayer game – even if it’s a hobby project – we’d love to chat! Contact us at [yc@rivet.gg](mailto:yc@rivet.gg).",
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        "body": "Hi everyone! Excited to launch [Dill](https://usedill.com/) 🤠\n\n**What we do**\n\nDill is a digital invoicing & payments tool for foodservice distributors. \n\n**The problem**\n\nFoodservice distributors are processing hundreds of invoices each day. Their biggest pain today is late payments. Restaurants often pay late due to missing invoices and proof of delivery. This is because of the way invoicing is done today – it’s still rooted in paper. \n\n**The solution**\n\nAt Dill, we’re bringing the invoicing & payments process online, and we’re built specifically for the unique workflows of the food supply chain. With us, our customers have gotten paid 20% faster and gotten 20 hours per week back on new sales & better customer service. \n\n![](https://lh6.googleusercontent.com/KxWNLoQzLq6zbnAe05wfz564uhonBCmELjcZ4TeLnGyEGShYsdLonW7UHcgb5pXlyZy0RpXwqaPeHsxc1Mn5LlxKZ7fcehZatJoVxEHrNlff0gjnUIVtnddmCEg933BdaJoobQCgRVvnrod2MpTSwQ)\n\n**Our backstory**\n\nI’m a second-time founder, and b2b commerce is my bread and butter. My last startup in b2b commerce was acquired, so this isn’t my first rodeo! I have always been passionate about the food supply chain – I previously was a PM at Yelp and have always been a huge foodie 😋\n\n**The asks**\n\n🥦 Would appreciate any **warm leads to foodservice distributors**. If you know someone or know someone who knows someone, reach out at [catherine@usedill.com](mailto:catherine@usedill.com)!\n\n💵 Ping me if you’re also building in AR/AP. Would love to bounce off ideas and share learnings.",
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        "title": "Untether Labs  ·  Smart scheduling for digital clinics",
        "tagline": "We help clinics schedule their doctors and patients, to improve margins and access to care.",
        "body": "Hey YC, this is @[@Aditya](https://linkedin.com/in/sharmaed) from [@UntetherLabs](https://untetherlabs.com/) launching!\n\n**TL;DR** Clinics are facing an existential problem - fix margins to survive. We’ve built a digital clinic, and seen the tech they need to improve margins. Now we’re bringing this tech back to other clinics. For our first customer, we’re projected to generate $2.5M in revenue.\n\n![uploaded image](/media/?type=post&id=70128&key=user_uploads/1154826/3a55bc0b-c7d4-4dde-8c7a-fb1ae202191c)\n\n# **🤯 PROBLEM · MARGIN**\n\n![uploaded image](/media/?type=post&id=70128&key=user_uploads/1154826/d963c99c-02d2-4450-a2ae-1c089cdfc873)\n\n**Doctors (MDs, nurses, therapists) spend less than 50% of their day seeing patients.** Yet you, as a patient, can’t get an appointment 4+ weeks out. Why? … archaic software.\n\n**Care models for digital clinics have evolved**. Care happens over calls, texts, at-home, in-person and over state lines covering insurance requirements. Scheduling the supply of doctors with the fluctuating patient demand is too complex for billion-dollar clinics to be coordinating out of spreadsheets. So while demand for healthcare has grown rapidly, **margins are poor**.\n\n# **💡 SOLUTION · SAAS**\n\nWe help clinics improve margins through an all-in-one tool that offers better scheduling, reporting, and forecasting.\n\n**Scheduling** to optimize doctors and appointments across specialties, regions, and insurance regulations:\n\n![uploaded image](/media/?type=post&id=70128&key=user_uploads/1154826/bb5c456b-6bd3-450f-97ef-22ec6b18dd3d)\n\n**Reporting**. One dashboard to track margin, patient demand, and doctor utilization.\n\n![uploaded image](/media/?type=post&id=70128&key=user_uploads/1154826/82445723-5549-4b51-96be-4fe4e323fc7c)\n\n**Forecasting** to help Clinics prepare for fluctuating demand, and scenarios.\n\n![](https://lh4.googleusercontent.com/zfBFMN1CovypldaZeRp2f-cQNnU5gntRFNhDA1ER14FlGtY7BaxdhyLRjGnOAJ5AhOPocejaKtfGdFcFFV4bxVGVyOyhMmTkKi_W4JGC-l3CbtvbfFbS68MBjtLaDbCGc5Pn7XR9YT-R1kJ2dA9NXR0)\n\n# **👥 TEAM · FOUNDER-MARKET FIT**\n\n[@Aditya](https://linkedin.com/in/sharmaed) is ex-Uber, ex-Headspace, Waterloo eng, and repeat founder. Team is filled with engineers who are ex-Uber, Meta, Apple, repeat founder.\n\n# **🫶 ASK**\n\nKnow someone in healthcare? Please tell them about us.\\\n[founders@untetherlabs.com](mailto:founders@untetherlabs.com)\n\n[UntetherLabs](https://untetherlabs.com/)",
        "url": "https://www.ycombinator.com/launches/IF6-untether-labs-smart-scheduling-for-digital-clinics",
        "votes": 168,
        "created_at": "2023-03-10T04:29:57.386Z"
      }
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  },
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    "id": 28160,
    "name": "Finni Health",
    "slug": "finni-health",
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    "website": "https://www.finnihealth.com/",
    "all_locations": "",
    "long_description": "Our platform is simple: we provide everything providers need to go independent, from scheduling and billing to marketing and client support.",
    "one_liner": "Empowering Autism Care Providers to Go Independent",
    "team_size": 40,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Consumer Health and Wellness",
    "launched_at": 1673586223,
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Active",
    "industries": [
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    "regions": [
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    "stage": "Growth",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/finni-health",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/finni-health.json",
    "year_founded": 2022,
    "city": null,
    "country": null,
    "linkedin_url": "https://www.linkedin.com/company/finni-health/",
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    "cb_url": "https://www.crunchbase.com/organization/journey-health-7bab",
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    "primary_partner": {
      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
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    "founders": [
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        "user_id": 307687,
        "full_name": "Bucky Khan",
        "title": "Founder",
        "founder_bio": "",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/bukhtarkhan/",
        "x_url": "https://twitter.com/BukhtarK",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/96d1293230c7987c69e33e60392ec50c26076701.jpg"
      },
      {
        "user_id": 486894,
        "full_name": "Yilun Chen",
        "title": "Founder",
        "founder_bio": "Helping providers at Finni :)",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/yilunc/",
        "x_url": "https://twitter.com/yilunch",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/394e686c2e90b657e5b7d2eb8611e92aa8cc2554.jpg"
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    ],
    "jobs": [
      {
        "id": 75960,
        "title": "Full-Stack Software Developer 2",
        "url": "https://www.ycombinator.com/companies/finni-health/jobs/ph1Y4Dp-full-stack-software-developer-2",
        "location": "San Francisco, CA, US / Toronto, ON, CA / Toronto, Ontario, CA / Remote (US; CA)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $160K",
        "equity_range": "0.05% - 0.10%",
        "experience": "1+ years",
        "visa": "Will sponsor",
        "skills": [
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          "Node.js",
          "React",
          "React Native",
          "TypeScript",
          "Firebase"
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      },
      {
        "id": 78266,
        "title": "Senior Full-Stack Software Developer",
        "url": "https://www.ycombinator.com/companies/finni-health/jobs/15yP0bE-senior-full-stack-software-developer",
        "location": "US Remote / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$140K - $210K",
        "equity_range": "0.10% - 0.50%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Express",
          "React",
          "React Native",
          "TypeScript"
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      },
      {
        "id": 104359,
        "title": "Head of Payor Strategy",
        "url": "https://www.ycombinator.com/companies/finni-health/jobs/DaMe5bF-head-of-payor-strategy",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$120K - $150K",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104360,
        "title": "Chief of Staff",
        "url": "https://www.ycombinator.com/companies/finni-health/jobs/VBPDtlL-chief-of-staff",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$150K - $200K",
        "equity_range": "0.10% - 0.40%",
        "experience": "8+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 106775,
        "title": "Payroll Manager",
        "url": "https://www.ycombinator.com/companies/finni-health/jobs/lcE7BnM-payroll-manager",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$90K - $110K",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 106777,
        "title": "Senior FP&A Analyst – Clinic Finance & Business Partner",
        "url": "https://www.ycombinator.com/companies/finni-health/jobs/Dbuo4sq-senior-fp-a-analyst-clinic-finance-business-partner",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$90K - $100K",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 107966,
        "title": "Senior Manager, Practice Operations",
        "url": "https://www.ycombinator.com/companies/finni-health/jobs/z2WYCdj-senior-manager-practice-operations",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$130K - $150K",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "Finni Health Raises $3.2M to Build the  Provider-Centric Future of Autism Care",
        "url": "https://www.finnihealth.com/finni-health-raises-3m-to-build-the-provider-centric-future-of-autism-care",
        "date": "Jun 11, 2023"
      },
      {
        "title": "Meet the Canadian startups participating in Y Combinator’s Winter 2023 Demo Day",
        "url": "https://betakit.com/meet-the-canadian-startups-participating-in-y-combinators-winter-2023-demo-day/",
        "date": "Apr 06, 2023"
      }
    ],
    "launches": [
      {
        "id": 69595,
        "title": "Finni Health - Platform for autism care providers 🦊",
        "tagline": "Finni Health empowers autism care providers to start, run, and grow their practices",
        "body": "We are [Bucky](https://www.linkedin.com/in/bukhtarkhan/) and [Yilun](https://www.linkedin.com/in/yilunc/), and we are excited to share how we are democratizing access to autism care. \n\n**tl;dr:** Finni Health helps autism care providers start, run, and grow their practices. We launched 7 months ago and already have $30K in monthly revenue growing 50% per month.\n\nToday, we have providers in New Mexico, South Carolina, Georgia, Illinois and Virginia. Soon, we will be across the country!\n\n# **Our Story**\n\nWe connected over a shared passion for improving access to healthcare. Bucky grew up providing in-home daycare to children with different abilities for over a decade with his mom. After sharing this personal story, Yilun suggested “What if providers had a platform that automated their operations and billing”. That idea got us our start, and within a couple weeks, we partnered with our first provider, Monique. \n\n![uploaded image](/media/?type=post&id=69595&key=user_uploads/307687/131f1c0b-b7c2-4ce5-8f29-43633dc37e78)\n\n# **The Problem**\n\nThe autism care industry is growing rapidly due to increasing diagnosis rates and landmark legislation requiring payors to cover care in every state. This has caused private equity to take over the market, with over 200 M&A deals in the past decade. This cash grab not only hurts providers, who are overworked and underpaid, it also hurts quality of care. Providers want a world where they can have the freedom to focus on their patients, but starting their own practice is costly. \n\n# **Our Solution**\n\nWe built the only platform designed for autism care providers to start, run, and grow their business. Providers with Finni can launch their own practice in 2 weeks. When they join, they instantly get access to our insurance network. From there, our platform allows them to manage patient data, schedule appointments, and get paid.\n\n![uploaded image](/media/?type=post&id=69595&key=user_uploads/307687/4df36730-8e4a-418c-9ee8-7fc85443c1b5)\n\n![uploaded image](/media/?type=post&id=69595&key=user_uploads/307687/ffdc08b0-4ca2-45f8-880e-0a0245694107)\n\n**Asks**\n\n* ABA Providers! If you have thought of starting your own practice, we want to talk to you! You can learn more here: <https://www.finnihealth.com/providers>\n* If you are an expert in insurance contracting, we would love to understand how to scale insurance contracts nation-wide",
        "url": "https://www.ycombinator.com/launches/I6V-finni-health-platform-for-autism-care-providers",
        "votes": 63,
        "created_at": "2023-02-23T15:12:57.896Z"
      }
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  },
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    "id": 28175,
    "name": "Pier",
    "slug": "pier",
    "former_names": [
      "Pier Fin",
      "Inc."
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    "website": "http://www.pier-finance.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We’re building an API for launching credit products. We enable companies to compliantly offer credit by handling the tech stack for origination, underwriting and loan management with just a few lines of code. We have built-in compliance guardrails to ensure that our customers comply with state and federal regulations and assist with licensing requirements and license management. ",
    "one_liner": "Stripe for Credit - Trusted Credit Compliance Partner",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1673342537,
    "tags": [
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      "SaaS",
      "B2B",
      "Compliance",
      "AI"
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    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Active",
    "industries": [
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/pier",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/pier.json",
    "year_founded": 2022,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/pier-finance/",
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    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
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    "founders": [
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        "user_id": 1218632,
        "full_name": "Jessica Zhang",
        "title": "Founder",
        "founder_bio": "Jessica is CEO & Co-Founder at Pier. Previously, CoS/PM at Stilt (YC W16, acq. by JGW) and founding team for Onbo, Stilt’s B2B credit API product. 2x founder (Oppti, acquired), ex-JPMorgan, ex-McDonald's. $7B+ underwriting/transaction experiences across private equity, investment banking and management consulting. She's a Cornell alum and has managed teams of 30+ ppl. Fun fact: she's a ski instructor and her goddaughter is a chihuahua-mix shelter adopt. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jessica-zhang-87967280/",
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        "id": 68560,
        "title": "Founding Engineer (Full Stack)",
        "url": "https://www.ycombinator.com/companies/pier/jobs/W6Bouqf-founding-engineer-full-stack",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$180K - $230K",
        "equity_range": "0.50% - 2.00%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
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      },
      {
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        "title": "Business Development Representative",
        "url": "https://www.ycombinator.com/companies/pier/jobs/e7WnWVP-business-development-representative",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$60K - $120K",
        "equity_range": "0.10% - 0.50%",
        "experience": "1+ years",
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    ],
    "news": [
      {
        "title": "Pier Raises $2.4 Million to Help Businesses Launch Credit Products | PYMNTS.com",
        "url": "https://www.pymnts.com/alternative-credit/2024/pier-raises-2-4-million-to-help-businesses-launch-credit-products/",
        "date": "Jan 11, 2024"
      },
      {
        "title": "Pier banks $2.4M to launch ‘Stripe for credit’ | TechCrunch",
        "url": "https://techcrunch.com/2024/01/11/pier-2-4m-stripe-for-credit-fintech",
        "date": "Jan 11, 2024"
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      {
        "id": 68537,
        "title": "Pier - The fastest way to ship your own loan products 🚀",
        "tagline": "Credit Infra API built for speed & flexibility ",
        "body": "👋🏻 Hey Alex & Jess here from W23 batch!\n\n## **✨ TLDR ✨**\n\nWe’re building an **API for launching credit products**. We enable any company to offer credit by handling origination, underwriting, compliance and servicing with just a few lines of code. Using Pier, our customers can offer credit to their borrowers/users without ever directing them outside their app, while Pier’s API powers the credit and compliance stack all under the hood.\n\n## **⛔️ The Problem ⛔️**\n\nLaunching a credit product in the US is extremely complex, expensive and time consuming — Companies have to build a lending function from scratch, pay millions of dollars for a bank charter, and spend months or years to implement. These combined factors often break the unit economics of a fast-growing company and are usually not part of a company’s core competency.\n\n## **✅ Our Solution ✅**\n\nPier enables companies to go live with their own credit product in weeks, not months!\n\n🔥 **Speed is our (and your) currency** - our platform and implementation process is designed to take you live in weeks, not months\n\n🚀 **Built for developers** - API driven, flexible modules to support innovative credit products\n\n📐 **Compliance partner** - leave the toughest compliance & licensing burdens to us, so you can focus on your customers. We help you understand your licensing and compliance needs, and provide you with compliance guardrails for long term sustainability. \n\n## **⚙️ How it works ⚙️**\n\n![uploaded image](/media/?type=post&id=68537&key=user_uploads/1218632/e12a53e0-8a14-4878-8362-da74840a0188)\n\n![uploaded image](/media/?type=post&id=68537&key=user_uploads/1218632/0a66540d-b85b-4903-868d-cb9b313be48d)\n\n## **🙏🏻 Our Asks 🙏🏻**\n\n* Reach out via our [contact us form](https://www.pier-finance.com/contact) if you’d like to use our solutions\n* Share this with folks you know building credit products\n* Give us an Upvote & share!",
        "url": "https://www.ycombinator.com/launches/HpR-pier-the-fastest-way-to-ship-your-own-loan-products",
        "votes": 255,
        "created_at": "2023-01-18T23:25:45.982Z"
      }
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    "id": 28178,
    "name": "Vector",
    "slug": "vector",
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    "website": "https://vector.co",
    "all_locations": "Boston, MA, USA",
    "long_description": "B2B advertising is broken: poor targeting, wasted ad spend, bot traffic, and 3rd party-cookies. Vector helps marketers drive pipeline with contact-level targeting and revealing who's seeing your ads (even if they never convert).",
    "one_liner": "Advertising for the new internet",
    "team_size": 20,
    "industry": "B2B",
    "subindustry": "B2B -> Marketing",
    "launched_at": 1675694302,
    "tags": [
      "Generative AI",
      "SaaS",
      "B2B",
      "Marketing",
      "Enterprise"
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    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Active",
    "industries": [
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      "Marketing"
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    "regions": [
      "United States of America",
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/vector",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/vector.json",
    "year_founded": 2022,
    "city": "Boston",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/getvector",
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      "url": "https://www.ycombinator.com/people/brad-flora"
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    "founders": [
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        "user_id": 187296,
        "full_name": "Joshua Perk",
        "title": "Founder",
        "founder_bio": "Hi 👋🏼 I'm Josh. Building, Vector to help founders find, prioritize, and track the accounts they're most likely to turn into their customers!\n\nPreviously:\n- Built the SC team @ Drift from Series B - Vista acquisition 🦄\n- Exited GrowthStack - A hybrid RevOps agency + SaaS company 🎉\n- Exited GoCable - A rapid prototyping SaaS for subsea cables 🐙\n- Served as an intel analyst in the USAF ✈️",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/joshuaperk/",
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      },
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        "user_id": 1125363,
        "full_name": "Nick Masters",
        "title": "Founder",
        "founder_bio": "Co-founder and COO of Vector, on a mission to revolutionize how marketing builds a contact based strategy.  A US Air Force Veteran and former Instructor Pilot with over 15 years of leadership experience building and training sales teams.  Previous to Vector, Co-founder and CEO Josh Perk and I served as executives in charge of Sales Engineering at Drift helping drive a $1.3B acquisition. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/nicholasamasters/",
        "x_url": "https://twitter.com/NickMasters83",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/54ad36463118c95a139ab093af42e779262427d4.jpg"
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    "jobs": [
      {
        "id": 99641,
        "title": "Account Executive",
        "url": "https://www.ycombinator.com/companies/vector/jobs/36g8Zd4-account-executive",
        "location": "Boston, MA, US / Remote (US)",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$180K - $215K",
        "equity_range": "0.02% - 0.10%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115244,
        "title": "Senior Data Engineer",
        "url": "https://www.ycombinator.com/companies/vector/jobs/MZ9Oh9B-senior-data-engineer",
        "location": "Boston, MA",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$180K - $230K",
        "equity_range": "0.08% - 0.15%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Node.js",
          "Python",
          "TypeScript",
          "SQL",
          "Vue.js",
          "dbt"
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    ],
    "news": [],
    "launches": [
      {
        "id": 77906,
        "title": "Vector: Turn your company's network into pipeline",
        "tagline": "Vector alerts sales teams when their executives, investors, and customers can intro them to their target accounts.",
        "body": "# **Problem: 74% of sales reps miss quota**\n\n👆This is why Pipeline Generation is today’s biggest problem CROs are facing!  \n\nB2B selling is hard. Buyers are inundated with noise. Modern “solutions” only automate the problem:\n\n* 2% cold call success = automated power dialers 🤮\n* 1% cold email success = mass sales engagement sequencers 👎🏼\n* Costly SDR team = AI prospecting + “virtual SDRs” that “personalize” at scale 🙅‍♂️\n\nPersonalization does not matter if no one opens your email or answers your call. There’s a monumental shift in the industry of B2B prospecting - and CROs are searching for a new playbook.\n\n# **Vector: Less Volume, More Quality**\n\nWe believe in an AI-enabled world where authentic relationships rule all.\n\nVector is the world’s only Relationship Intelligence platform — using AI to analyze 400M+ signals in real-time to identify meaningful relationships across your company’s entire network to win, retain, and expand deals.\n\n![](https://lh7-us.googleusercontent.com/V8oj_wAPmeAT7ayqDcRBSOPMM66QEMPMd0Tlwd-kgcEBr9ijOnSmtE-OOxC-4TOZQno7GE118BQwF2qJsA-Z1Mv8F-Pa7KY6Ver8YvvT4n6PnP_5I8Q1P5ahY4k7EziCs79zTJVDcEwddDbLvquKWok)\n\n# **The Shared Experience Graph™**\n\nAt Vector’s core is the Shared Experience Graph™ — a powerful data engine analyzing hundreds of signals _per relationship_ and a proprietary AI model purpose-built to find the most authentic relationships for your sales team.\n\nStop relying on manual spreadsheets, meaningless mutual LinkedIn connections, or expensive, glorified champion tracking tools that only tap a fraction of your network.\n\n![](https://lh7-us.googleusercontent.com/_WqZpni8euVAwRbQBinwgZW9xlhK3WKp3HX1mj8cppFi5ii6F_zgsONXutIpuwxqNgVbMzAe1s-F5SGaHh3aDvkKEhdMaCltw5a3Wki53OxLPpMn0-pALETUoDn1QqgZqEYqvenY8VySx8zrQ17qmOE)\n\nLet’s talk, because **84% of your B2B decision-makers start their buying process with a referral**, but finding the right trusted person to open the door for your team is extremely hard.\n\nFollow us, [Joshua](https://www.linkedin.com/in/joshuaperk/) and [Nick](https://www.linkedin.com/in/nicholasamasters/). We lived with this problem for years as GTM executives, and now we’re fixing it at [Vector.](https://vector.co/?utm_source=YC&utm_medium=Launch&utm_campaign=2024&utm_id=YC+Launch%2C+2024)",
        "url": "https://www.ycombinator.com/launches/KGY-vector-turn-your-company-s-network-into-pipeline",
        "votes": 90,
        "created_at": "2024-01-29T00:12:47.168Z"
      }
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  },
  {
    "id": 28183,
    "name": "Metal",
    "slug": "metal",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0bdcc8475801e999a95ad750970c80614d23f5c4.png",
    "website": "https://metal.ai/",
    "all_locations": "New York City, NY, USA",
    "long_description": "Firm proprietary data is only as sharp as the context around it. Metal is the context platform for private capital.\r\n\r\nIt structures everything a firm has touched, every deal, company, and figure, along with every decision the deal team has made, into one context graph. So the AI tools your deal teams already rely on, like Claude, ChatGPT, and Copilot, can reason with the firm's own knowledge. Every deal feeds back into the graph, so the firm's edge compounds: each decision sharpens the one that follows.\r\n\r\nMetal is purpose-built for private equity and private credit. We turn what a firm knows into how it wins.",
    "one_liner": "The AI context platform for private capital. Everything your firm…",
    "team_size": 17,
    "industry": "B2B",
    "subindustry": "B2B -> Finance and Accounting",
    "launched_at": 1674209670,
    "tags": [
      "Fintech",
      "SaaS",
      "Finance",
      "Investing",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Active",
    "industries": [
      "B2B",
      "Finance and Accounting"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/metal",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/metal.json",
    "year_founded": 2023,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/getmetal/about/",
    "x_url": "https://x.com/metal__ai",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/metal-6dfc",
    "github_url": "https://github.com/getmetal/",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0bdcc8475801e999a95ad750970c80614d23f5c4.png",
    "app_video_url": null,
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    "company_photos": [],
    "primary_partner": {
      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
    },
    "founders": [
      {
        "user_id": 1212950,
        "full_name": "Taylor Lowe",
        "title": "Founder",
        "founder_bio": "CEO of Metal. Product manager who started in sales. DC native. Big fan of New York so now I live there.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/taylorlowe11/",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fccb2375c2dc56e262189584fae495dfcca8f354.jpg"
      },
      {
        "user_id": 506814,
        "full_name": "James O'Dwyer",
        "title": "Founder",
        "founder_bio": "Co-Founder of Metal",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jamesxodwyer",
        "x_url": "https://twitter.com/softboyjimbo",
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      },
      {
        "user_id": 412427,
        "full_name": "Sergio Prada",
        "title": "Founder",
        "founder_bio": "Co founder of Metal (metal.ai)",
        "is_active": true,
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/45999f4d54ac6c1f6f59743235bf6af0659728ff.jpg"
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    ],
    "jobs": [
      {
        "id": 110016,
        "title": "Forward Deployed Engineer - Strategic Account",
        "url": "https://www.ycombinator.com/companies/metal/jobs/7zlvBO4-forward-deployed-engineer-strategic-account",
        "location": "New York City",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $240K",
        "equity_range": "0.10% - 0.25%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "Metal Raises $5M from Base10 Partners to Transform Private Market Investing with AI",
        "url": "https://www.metal.ai/blog/seed-fundraise-announcement",
        "date": "Sep 11, 2025"
      },
      {
        "title": "In the AI arms race, Metal aims for enterprise dominance with $2.5 million war chest | VentureBeat",
        "url": "https://venturebeat.com/ai/in-the-ai-arms-race-metal-aims-for-enterprise-dominance-with-2-5-million-war-chest/",
        "date": "Jun 22, 2023"
      }
    ],
    "launches": [
      {
        "id": 77440,
        "title": "Metal - Your deal team assistant 🤘",
        "tagline": "AI Accelerated Deal Flow and Portfolio Intelligence",
        "body": "⚡**TLDR**\n\n* [Metal](https://www.getmetal.io/) is relaunching as a SaaS application for financial services and funds, with a focus on buy-side deal teams and portfolio monitoring for fund managers 🤘\n* We make deal teams 10x faster by parsing data and assisting in diligence across relevant file types - transcripts, 10-Ks/Qs, financial statements, board decks, CIMs, and more\n* Portfolio data is structured and made queryable for fund managers to better understand their investments – from running instant comps to extracting quotes from a board meeting\n* We’re rolling out Metal on a fund by fund basis – if this sounds like you, please get in touch! [founders@getmetal.io](mailto:founders@getmetal.io) or [submit your contact info here](https://www.getmetal.io/contact) 🎸\n\n**👎The problem**\n\nDeal teams are overloaded with data, yet deals remain highly competitive and are lost with an inefficient diligence process. In early diligence alone, analysts spend days reading through expert call transcripts, 10-Ks, or financial statements just to get a basic understanding of a company. This is a highly manual process – and funds are paying analysts $200k/year and up to do it. \n\nOn top of this, fund managers lack insights into their portfolio company’s historic performance, areas of focus, and if they’re deviating from plan. Tracking this data down internally is often infeasible, so managers are left in the dark and their investments are put at risk.\n\n**👍Our solution**\n\nMetal accelerates fund workflows by integrating them with the advanced capabilities of LLMs. Here’s how:\n\n**1\\. Purpose built ingestion pipelines for financial documents.** Funds can upload documents and specify the values they want extracted from datasets. Metal does the heavy lifting from there.\n\n![uploaded image](/media/?type=post&id=77440&key=user_uploads/1212950/591aea10-3d61-4c10-be1f-4b47ea9f7930)\n\n**2\\. Diligence workflows rebuilt with generative AI.** Metal extracts relevant quotes, cites sources, browses the web and more when generating responses.\n\n![uploaded image](/media/?type=post&id=77440&key=user_uploads/1212950/71312968-12bc-4380-8b3e-4c37d8aadc8d)\n\n**3\\. Fully searchable portfolios.** We structure and make all fund data queryable – from memos to board decks to financials. Spot patterns across collections of data and query for deeper insights.\n\n![uploaded image](/media/?type=post&id=77440&key=user_uploads/1212950/29e0a3b7-250f-4071-9aad-30c7f54d7e83)\n\n**🙏 Asks**\n\nToday’s launch is an exciting first step, but we’ve got a lot planned for the next 6 months!\n\nWe are rolling out Metal on a per fund basis so we can dedicate more of our resources to each implementation – we’ll work side by side with your team to ensure success.\n\n**If you’re on a PE or VC deal team, or managing a fund** – here’s how you can reach us: [founders@getmetal.io](mailto:founders@getmetal.io) or [submit your info here](https://www.getmetal.io/contact)!\n\n🤘Taylor + James + Sergio🤘",
        "url": "https://www.ycombinator.com/launches/K92-metal-your-deal-team-assistant",
        "votes": 17,
        "created_at": "2024-01-11T18:57:23.238Z"
      },
      {
        "id": 71084,
        "title": "Motörhead - LLM memory server built in Rust",
        "tagline": "Motörhead is an open-source memory and information retrieval server for LLMs.",
        "body": "## Overview\n\n[Motörhead](https://github.com/getmetal/motorhead) is an open-source memory and information retrieval server for LLMs. Built and supported by [Metal](https://getmetal.io/).\n\nAs LLM usage becomes more widely adopted, modern software products must handle users' LLM interactions, chat sessions, and retrieval for relevant prompting context at scale. With much of the performance cost being on the prompting to APIs like OpenAI and other LLMs, contextual data retrieval is ideally as fast as possible.\n\n## Features\n\n* 🪄 Modern strategies to stay within the prompt window\n* 💬 Chat session management out of the box\n* 🦜 [Langchain integration](https://python.langchain.com/en/latest/modules/memory/examples/motorhead_memory.html)\n* 🧠 Automatic Embedding generation via OpenAI ADA\n* 🕸️ Redis Vector DB forto utilize RedisSearch (semantic)\n* 💽 Short-term & long-term storage\n* 🔥 Built in Rust for performance\n\n## Roadmap\n\n* User Authentication\n* Knowledge Graph Memory handling\n* Additional support for other Embedding Models\n* [Create an issue!](https://github.com/getmetal/motorhead/issues)\n\n## Resources\n\n* Check out [Motörhead on Github](https://github.com/getmetal/motorhead)\n* Join the [Motörhead Discord](https://discord.gg/sxbFX5dsQY)\n* Suggest a [feature for Motörhead](https://github.com/getmetal/motorhead/issues)",
        "url": "https://www.ycombinator.com/launches/IUW-mot-rhead-llm-memory-server-built-in-rust",
        "votes": 19,
        "created_at": "2023-04-20T14:09:32.416Z"
      },
      {
        "id": 69701,
        "title": "Metal: Helping developers easily implement machine learning embeddings",
        "tagline": "Embeddings as a service 🤘",
        "body": "tl;dr\n\n_Metal makes it easy for developers to implement machine learning embeddings. With embeddings, we help businesses create value from unstructured data like images, text documents, videos and more._\n\nHey everyone! We’re Taylor, James, and Sergio and we’re building [Metal.](https://www.getmetal.io/?utm_campaign=pre-launch&utm_medium=newsletter&utm_source=YC)\n\n![](https://lh4.googleusercontent.com/BAmRW6DjuFBKZwKTqlBZ3usUOyMeRtO_c34yip0WO65CQX-VCS3IeNXKPOE57AdV-HApI_CC0QjqVgurwEDxHJSDo9BxV5Pve7VXz20yulLPBNYbSKHQXqSxhLowmbYOUlQ7c3sln6lJ4eRTuVMRmL0)\n\n**What’s the problem?**\n\nEmbeddings are super powerful but they’re too hard to use. We learned this the hard way while building machine learning products at companies like Spotify and Meta. Getting to production for simple features (or so we thought) was incredibly painful.\n\nThe team would put weeks into offline training only for the data to be stale in production. It was difficult to iterate on models without versioning. Fine-tuning was highly inefficient. When we finally did get a model deployed there were immediate scaling concerns. It once took us 6 frustrating months to ship a simple embedding classification feature 🤦\n\nCompanies shouldn’t need to reinvent the wheel to use embeddings.\n\n**What’s the solution?**\n\nMetal gives you all the tools you need to quickly and easily implement embeddings against your data in production. \n\n* We integrate with your data sources\n* We generate and store your embeddings\n* We provide real time indexing and search APIs\n* We provide versioning\n* And we make it easier to fine tune embeddings via Metal’s API or SDKs\n\nYou can get started in as little as five minutes.\n\n![](https://lh5.googleusercontent.com/izlgcDfSdm-FgMwj8Cns-nsnN2GmkAuUtdsSCQKuLawBY0fcv3KZjgkjiwxa7yiOpbPOnNZs_uN9ERNmCS8ZVVP3IC-NY-qHBe1cuipof9D7JKskIn6FvN-BSuYULjJGJPb6xYyi3e47OUDZ2qm9c4U)\n\n![](https://lh4.googleusercontent.com/nOmwv8oD-qYgxa_m6enimIFMTirXP1olznsJv1UrojbT2lf69WdR0vxc2xLkX8TceIfAusPKPFopsM2vjXcGXIJMDMHQz9lgJhmxPr2qcOI3uS5_b7LI44k1HvaYeFSF2uGvHp1fpgMzuqVsU31sNaA)\n\n**Ok so it’s easy to use, but what about some real world use cases?**\n\n* Better personalization for your users through behavioral clustering\n* Search and compare similarities between data types, such as images or videos\n* Understand how your customers feel by classifying their free text reviews\n* Make the most of internal resources by supporting semantic search of text documents, PDFs, call notes and more\n\n**Our ask:**\n\n1. [**Sign up for early access**](https://www.getmetal.io/?utm_campaign=pre-launch&utm_medium=newsletter&utm_source=YC) and we will get in touch! [You can also book a time here to learn more](https://calendly.com/metal-taylor/metal-30-minutes-landing?utm_campaign=pre-launch&utm_medium=newsletter&utm_source=YC).\n2. **Introduce us to companies** who could use Metal. We mostly work with small to medium size companies (10-200 people) who have raised a series A. These companies have an embeddings use case but don’t want to spend the time/resources to build it from scratch.\n3. **Help us build the future** :) If you’re experienced with embeddings and want them to be simpler, then we’d love to hear from you. Please get in touch: [founders@getmetal.io](mailto:founders@getmetal.io)\n\nYou can also follow us on [Twitter](https://x.com/metal__ai) or [Linkedin](https://www.linkedin.com/company/getmetal?utm_campaign=pre-launch&utm_medium=newsletter&utm_source=YC) :) 🤘\n\nThank you!",
        "url": "https://www.ycombinator.com/launches/I8D-metal-helping-developers-easily-implement-machine-learning-embeddings",
        "votes": 179,
        "created_at": "2023-02-27T14:57:53.771Z"
      }
    ]
  },
  {
    "id": 28216,
    "name": "Escape",
    "slug": "escape",
    "former_names": [
      "Escape",
      "Escape - GraphQL Security",
      "Escape",
      "Escape - GraphQL Security",
      "Escape - Modern Application Security"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0210bbcb75b7ba7c4519705bd24c324666b9538b.png",
    "website": "https://escape.tech",
    "all_locations": "Paris, Île-de-France, France",
    "long_description": "Replace legacy scanners and manual offensive security processes with AI agents that discover, test, and remediate directly in your engineering workflows.",
    "one_liner": "Offensive security for the teams that are 100x outnumbered",
    "team_size": 29,
    "industry": "B2B",
    "subindustry": "B2B -> Security",
    "launched_at": 1674779031,
    "tags": [
      "Developer Tools",
      "Security",
      "API",
      "GraphQL"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Active",
    "industries": [
      "B2B",
      "Security"
    ],
    "regions": [
      "France",
      "Europe",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Growth",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/escape",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/escape.json",
    "year_founded": 2020,
    "city": "Paris",
    "country": "FR",
    "linkedin_url": "https://www.linkedin.com/company/escapetech",
    "x_url": "https://twitter.com/escapetechhq",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/escape-b74e",
    "github_url": "https://github.com/Escape-Technologies/",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0210bbcb75b7ba7c4519705bd24c324666b9538b.png",
    "app_video_url": null,
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    "company_photos": [
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    ],
    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
    },
    "founders": [
      {
        "user_id": 1709764,
        "full_name": "Tristan Kalos",
        "title": "Founder",
        "founder_bio": "Building Escape (YC W23) to help AppSec and Engineering teams secure their Single Page Apps, APIs, and Microservices. Previously ML engineer at source{d} and researcher at UC Berkeley. Passionate about solving complex business problems with creative technology or user experiences. ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/tkalos",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/974be13b71b658127ab50adf890409c4b115df2e.jpg"
      },
      {
        "user_id": 1167886,
        "full_name": "Antoine Carossio",
        "title": "Founder",
        "founder_bio": "🇫🇷 • Engineer • UC Berkeley • Apple",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/acarossio",
        "x_url": "https://twitter.com/icarossio",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a423c0fb183e5b9696de588124a6cbdefe8c2193.jpg"
      }
    ],
    "jobs": [
      {
        "id": 84153,
        "title": "Head of Sales ",
        "url": "https://www.ycombinator.com/companies/escape/jobs/yfEXoM2-head-of-sales",
        "location": "New York, NY, US / Remote (US)",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$200K - $400K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "Escape raises $18M Series A to replace legacy scanners with AI agent-driven discovery, pentesting, and remediation",
        "url": "https://escape.tech/blog/escape-raises-18m-series-a/",
        "date": "Mar 09, 2026"
      },
      {
        "title": "New Security Research: We discovered over 2k high-impact vulnerabilities and PII in apps built with vibe coding platforms",
        "url": "https://escape.tech/blog/methodology-how-we-discovered-vulnerabilities-apps-built-with-vibe-coding/",
        "date": "Oct 29, 2025"
      },
      {
        "title": "Meet Escape Copilot: Automate App and Scan Management via MCP",
        "url": "https://escape.tech/blog/meet-escape-copilot-automate-app-and-scan-management-via-mcp/",
        "date": "Jun 05, 2025"
      },
      {
        "title": "Escape DAST Now in Beta: Front-End & SPA Testing Made Easy",
        "url": "https://escape.tech/blog/front-end-dast-beta/",
        "date": "Dec 10, 2024"
      },
      {
        "title": "Fortune 1000 at risk: How we discovered 100k vulnerabilities",
        "url": "https://escape.tech/blog/fortune-1000-at-risk-30k-exposed-apis-100k-vulnerabilities/",
        "date": "Nov 20, 2024"
      }
    ],
    "launches": [
      {
        "id": 69497,
        "title": "🛡 Escape - Secure your GraphQL APIs",
        "tagline": "We help companies create Fast, Secure, and Reliable GraphQL APIs",
        "body": "### **tl;dr:** **Securing GraphQL is hard.** Escape makes it easy for developers to build secure and reliable GraphQL APIs. **You can test it for free and get your results in seconds** using this link: <https://app.escape.tech/ycw23>\n\nHello everyone, we are Antoine and Tristan, the founding team behind Escape.\n\n![uploaded image](/media/?type=post&id=69497&key=user_uploads/1231138/4111cf07-557b-4da5-ad36-d2336aa3913a)\n\n🧠 **Tristan** (left) previously worked as a **GraphQL Developer** and experienced himself the need for better tooling in this ecosystem. 💪 **Antoine** (right) previously worked as a security engineer for the French Government and **Apple** 🍎 which led him to the journey of helping developers secure their code.\n\n### 🛡 Why are we building Escape?\n\nGraphQL has seen exponential growth in the past years and is now used by 20% of all developers. Companies like **Paypal**, **Walmart**, **Twitter**, and **Airbnb** are now all relying on GraphQL APIs for **their** **core businesses**.\n\nYet, we observed that most - as in like **95%** - of GraphQL APIs that exist today are insanely vulnerable to cyberattacks.\n\nThe reason is simple: GraphQL has an entirely different structure than traditional APIs like REST.\n\nExisting security tools do not support it, leaving GraphQL developers and organizations completely blind to the security of what they release and **putting their business at risk**.\n\n### 🎯 Our solution\n\nWe aimed to build the GraphQL Security Testing tool that devs would love. As developers ourselves, we think such a tool would\n\n*  _be_ **fast to run in CI/CD**\n*  _be super_ **easy to set up** and maintain\n*  _give_ **relevant results**\n\nExisting tools fail at achieving the latter because they rely on brute-forcing API requests. Thus, most requests are blocked at the validation layer, failing to test the actual code.\n\nAt Escape, **we developed a new approach called _feedback-driven API exploration_**. We crafted a graph traversal algorithm that learns from the API's responses how to generate requests that actually make sense from a business standpoint.\n\n![uploaded image](/media/?type=post&id=69497&key=user_uploads/1231138/4d4ffbf4-e5af-46b9-927d-904530700300)\n\n_Requests generated by bruteforce (left) vs. **Escape’s feedback-driven exploration** (right)_\n\nUsing this technique, we are able to pass the validation layer and test the code of the application at a deeper level than previous solutions. So far, we have achieved **more than 80% coverage** in most applications without fine-tuning.\n\n### 🚀 let us assess the security of your GraphQL API for free in seconds\n\nIn only 6 months, we partnered with **Snyk** and **Postman**, got into the GraphQL foundation, and worked with companies like **Neo4j** and **ArangoDB**.\n\n👉 If you are using GraphQL yourself, you are welcome to try our platform and **get your application's security report for free**, as **we unlocked all the features for the YC community**: <https://app.escape.tech/ycw23>!",
        "url": "https://www.ycombinator.com/launches/I4v-escape-secure-your-graphql-apis",
        "votes": 1096,
        "created_at": "2023-02-21T19:45:54.930Z"
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    "id": 28218,
    "name": "Kyber",
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    "website": "https://askkyber.com",
    "all_locations": "New York City, NY, USA",
    "long_description": "With Kyber, companies operating in regulated industries can quickly draft, review, and send complex regulatory notices. For example, when Branch Insurance's claims team has to settle a claim, instead of spending hours piecing together evidence to draft a complex notice, they can simply upload the details of the claim to Kyber, auto-generate multiple best in-class drafts, easily assign reviewers, collaborate on notices in real-time, and then send the letter to the individual the notice is for. Kyber not only saves these teams time, but significantly improves consistency, compliance, and personalization. ",
    "one_liner": "Instantly draft, review, and send complex regulatory notices.",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1677372539,
    "tags": [
      "Generative AI",
      "SaaS",
      "Insurance",
      "Enterprise",
      "Regtech"
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    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Active",
    "industries": [
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      "Operations"
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    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
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    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/kyber",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/kyber.json",
    "year_founded": 2022,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/ask-kyber/",
    "x_url": "https://twitter.com/AskKyber",
    "fb_url": null,
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3004c4a72b716a80763763b95bf3e212c448756e.png",
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    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
    },
    "founders": [
      {
        "user_id": 271067,
        "full_name": "Arvind Sontha",
        "title": "Founder",
        "founder_bio": "Arvind Sontha is Founder & CEO of Kyber. He is a repeat founder with an entrepreneurial spirit that started in his childhood, when he started a local pet care business. Since then, his entrepreneurial endeavors have taken him across numerous industries, building in EdTech, Dating, Insurtech, and AI. During this time, Arvind also signed full-time with Google at 19, founded Subtle Curry Dating (~250k members on Facebook), and became a licensed insurance agent.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/arvind-sontha/",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6db185fb8a67fa875d1775d6725f3f8cc2776327.jpg"
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    "jobs": [
      {
        "id": 110021,
        "title": "Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/kyber/jobs/eturrAR-forward-deployed-engineer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$110K - $150K",
        "equity_range": "0.05% - 0.15%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": [
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    "news": [],
    "launches": [
      {
        "id": 79877,
        "title": "Kyber LetterGen 📝 Compose and send complex claim notices",
        "tagline": "We help claims teams instantly draft, review, and send complex notices.",
        "body": "**_tldr;_** _We make it simple for claims teams to instantly draft, review, and send complex notices to insureds, claimants, and third parties (like attorneys). With GenAI draft generation, real-time collaborative editing, integrated review workflows, and omnichannel delivery, Kyber’s LetterGen is able to supercharge the process of creating claim denial, partial denial, and settlement notices for even the most complex claims._ **Book a demo on our [website](https://askkyber.com?utm_source=ycombinator&utm_medium=launch&utm_campaign=claims_launch_yc) to learn more!**\n\n**—**\n\n# **🧨 Problem: Regulated notices are tedious and high-risk.**\n\nFor claims teams, state departments of insurance typically have very clear guidelines around the specific types of notices an insurer is supposed to provide to the parties involved. These include notices like claim acknowledgment, status updates, proactive reservations of rights, and finally, either a claim denial, partial denial, or settlement letter detailing what finally is or isn’t covered.\n\nWhile that may seem straightforward, many organizations fail to meet these requirements as adjustors struggle to efficiently write notices up to the required quality bar. Numerous carriers we’ve talked to and currently work with have audited their claims organizations and found that their teams spend upwards of **30% of their working hours** just handling these notices.\n\nWhy? Many times, these notices end up in a court of law where an unhappy claimant will sue the insurer, arguing that the notice was ambiguous.\n\n# **🎉 Solution: One platform to consolidate, collaborate, and send notices.**\n\nKyber’s LetterGen helps companies streamline their notice creation process, removing tedious overhead and minimizing risk from claimants suing companies for acting in bad faith.\n\n![](https://www.ycombinator.com/media/?type=post&id=79877&key=user_uploads/271067/33ede188-d105-4957-a9e3-5f109a3b9320)\n\nOut of the box, Kyber’s LetterGen comes with:\n\n* Automatic policy language extraction 🔍\n* Personalized draft creation powered by GenAI 🤖\n* Integrated review workflow ⭐\n* Real-time collaborative editing and commenting 💬\n* Full history and version tracking support 🕗\n* Basic template creation and management 📄\n* Progress tracking across your notice funnel 📊\n* Pre-built integrations into claims systems and mailing systems ✉️\n\n### **Our ask 🙏**\n\n* Connect us with Operations or Claims leaders at TPAs, Carriers, MGAs, or Reinsurers ➡️ [sav@askkyber.com](https://mailto:sav@askkyber.com).\n* If you or your organization operate in a regulated industry (Healthcare, Loans, Banking, Utilities, etc.) and are required to generate similar notices for third parties, we’d love to learn more ➡️ [founders@askkyber.com](mailto:founders@askkyber.com)",
        "url": "https://www.ycombinator.com/launches/KmL-kyber-lettergen-compose-and-send-complex-claim-notices",
        "votes": 21,
        "created_at": "2024-04-02T15:41:18.646Z"
      },
      {
        "id": 69780,
        "title": "Kyber - ChatGPT for enterprise support",
        "tagline": "Kyber embeds AI intelligence into enterprise support workflows to accelerate customer success teams.",
        "body": "# TL;DR Instead of digging across resources to find the right answer, Kyber provides highly specific and accurate answers right at your fingertips.\n\n### Who Is It For?\n\nAny company/enterprise that gets repeat questions about the same thing over and over again that they’ve already documented or answered.\n\n### How It Works\n\n⚡ Install our **Slack/Discord/Front/Intercom** Apps each in **two clicks**\n\n**⚙️** We’ll ingest your knowledge base (typically public documentation) and configure them into your preferred access channels\n\n**❓** Go to town asking Kyber for help on questions about your knowledge base\n\n🔍 Gain important insights into user questions and team questions, which you can then use to further refine your knowledge base\n\n🚀 Accelerate support, onboarding, and more at speed of AI\n\nDirect Response Flow:\n\n![uploaded image](https://bookface.ycombinator.com/media/?type=post&id=69780&key=user_uploads/271067/061a2882-761b-4b9d-83cf-edf2fc8ba501)\n\nHidden Response Flow:\n\n![uploaded image](/media/?type=post&id=69780&key=user_uploads/271067/98d2c6ea-889d-45a7-a4bc-33b6d11a4626)\n\n# Why We Built Kyber\n\n🤔 We started Kyber because we were frustrated with the tradeoffs that different resources and support channels provide today. At the end of the day, we realized that end users just want factually correct answers and they want them NOW.\n\nExisting resources each make tradeoffs between speed, relevance, and trust:\n\n* Documentation (Immediately available, but not easy to search or always up to date): \n  * Speed ✅\n  * Relevance ❌\n  * Trust ✅\n* Community (Friendly, but not sure if answers are trustworthy):\n  * Speed ✅\n  * Relevance ✅\n  * Trust ❌\n* Support Staff (Relevant and trustworthy answers, but usually very slow):\n  * Speed ❌\n  * Relevance ✅\n  * Trust  ✅\n\nWe help bridge these gaps by either providing your users a direct interface for help or by enabling your CX teams to quickly search and generate answers using our flows.\n\n# How Can I Try It?\n\nEmail us at [founders@askkyber.com](mailto:founders@askkyber.com)\n\nWe’ll set up a custom demo where you’ll be able to try it out firsthand on top of your chosen knowledge base. Once you’re happy, we’ll give you and your team a white-glove onboarding experience.\n\nHave any additional flows, knowledge base sources, or integrations in mind? Let us know! We’re more than happy to support it and already have a few more exciting features planned for the future (stay tuned 😉).",
        "url": "https://www.ycombinator.com/launches/I9U-kyber-chatgpt-for-enterprise-support",
        "votes": 32,
        "created_at": "2023-02-28T20:08:07.488Z"
      }
    ]
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    "id": 28303,
    "name": "Scout",
    "slug": "thedailyscout",
    "former_names": [
      "Meru",
      "PromptBidder",
      "Prompt",
      "Social Radar"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/62066a9f835dfb54435fdb72d9510ec33510d68f.png",
    "website": "https://thedailyscout.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Scout features 10 minute long generative podcasts that update you about your industry and interests while you are at the gym or in the car. We currently have 58% D7 retention, 35% D30 retention, and 24% DAU/MAU. ",
    "one_liner": "Scout is an AI news aggregator that turns your role, industry, and…",
    "team_size": 3,
    "industry": "Consumer",
    "subindustry": "Consumer",
    "launched_at": 1674851057,
    "tags": [],
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Active",
    "industries": [
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/thedailyscout",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/thedailyscout.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
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    "primary_partner": {
      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
    },
    "founders": [
      {
        "user_id": 317283,
        "full_name": "Rohan Arora",
        "title": "Founder",
        "founder_bio": "Previously worked at JHU APL on MLOps and modeling for the Covid-19 National Health Mission & built technology to track animal mice. Studied Bioengineering at Berkeley. ",
        "is_active": true,
        "linkedin_url": "http://www.linkedin.com/in/meetrohanarora",
        "x_url": "https://twitter.com/rohanarora_",
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      },
      {
        "user_id": 324661,
        "full_name": "Venkat Krishnan",
        "title": "Founder",
        "founder_bio": "CTO, Social Radar. Prev worked at Tesla Autopilot AI. Studied Computer Engineering at UCSB, where I researched adversarial robustness and hardware acceleration of transformer models.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/venkatvkrishnan/",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2c796bfc46198fc2675ca4d5d35b0421b0bfe670.jpg"
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    ],
    "jobs": [
      {
        "id": 60385,
        "title": "Software Engineer",
        "url": "https://www.ycombinator.com/companies/thedailyscout/jobs/Pq0LIUw-software-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$100K - $140K",
        "equity_range": "0.50% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
          "Amazon Web Services (AWS)",
          "Python",
          "Torch/PyTorch",
          "Deep Learning",
          "Reinforcement learning (RL)"
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      },
      {
        "id": 61901,
        "title": "Machine Learning Architect",
        "url": "https://www.ycombinator.com/companies/thedailyscout/jobs/Hn3I354-machine-learning-architect",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$100K - $150K",
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        "experience": "Any (new grads ok)",
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    "id": 28329,
    "name": "Type",
    "slug": "type",
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    "website": "https://type.ai",
    "all_locations": "New York City, NY, USA",
    "long_description": "Type.ai is the AI-native storytelling studio for independent authors and creators. We help people craft books, novels, screenplays, and other types of long-form, creative fiction.",
    "one_liner": "AI-native storytelling studio.",
    "team_size": 5,
    "industry": "Consumer",
    "subindustry": "Consumer",
    "launched_at": 1675912711,
    "tags": [
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      "Consumer",
      "Productivity",
      "AI"
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    "nonprofit": false,
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      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/type",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/type.json",
    "year_founded": 2023,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/type-ai",
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      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
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    "founders": [
      {
        "user_id": 211874,
        "full_name": "Stew Fortier",
        "title": "Founder",
        "founder_bio": "Co-founder & CEO at Type.ai (W23). Previously co-founded Foster (W21). Before that, I served as the CTO of Banzai and an EIR at the Allen Institute for Artificial Intelligence.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/stew-fortier-7422b829/",
        "x_url": "https://twitter.com/stewfortier",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d05e60f63691ac1c2a67ef4991b448a2ed3c7ab1.jpg"
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    ],
    "jobs": [
      {
        "id": 77152,
        "title": "Founding Product Engineer",
        "url": "https://www.ycombinator.com/companies/type/jobs/1idOunL-founding-product-engineer",
        "location": "NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$140K - $230K",
        "equity_range": "0.50% - 5.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "MongoDB",
          "React",
          "TypeScript"
        ]
      }
    ],
    "news": [
      {
        "title": "Type raises $2.8M to build a new kind of document editor",
        "url": "https://type.ai/blog/type-seed-round",
        "date": "Jun 14, 2023"
      }
    ],
    "launches": [
      {
        "id": 69329,
        "title": "Type – an AI-first document editor",
        "tagline": "Type is an AI-first document editor that helps you write faster.",
        "body": "Hi there –\n\n[Stew](https://www.linkedin.com/in/stew-fortier/) and [Stefan](https://www.linkedin.com/in/stefanli/) here. We're building Type.ai.\n\nType.ai is an [AI writing tool](https://type.ai). We help marketers and creators write high-quality content remarkably fast.\n\nType makes it effortless to access the most powerful capabilities of today’s large language models. Type’s AI can instantly generate and transform any text – it picks up on your intent and the context of your document as you write.\n\nWe’d love to give you early access [here](https://type.ai/).\n\n## The problem\n\nCompanies spend billions of dollars on content marketing each year, but creating great content is hard. Finding compelling ideas and articulating them in a way that will resonate with an audience requires constant experimentation and iteration.\n\nAI will radically reduce this friction by making it easier to generate and refine ideas, but it's still hard to get today’s large language models to give you what you need.\n\nYou must either become a “prompt engineer” or use AI writing tools with rigid, template-based interfaces that constrain creativity and produce mediocre content.\n\n### The solution\n\nWe've built a flexible, fast document editor that lets a user quickly surface powerful AI commands by hitting cmd + k as they write.\n\nType’s AI commands help with the slowest parts of writing, from generating drafts to rewriting content to suggesting what to create next.\n\nThe more you write, the better Type’s suggestions get. Type’s AI understands the context of a document – it can generate or transform text quickly and accurately. \n\nWe combine the flexibility of a product like ChatGPT with a powerful document editor. The result: Type is fun to write in!\n\n### The founders\n\nWe started building this because we were surprised nobody else had. Writing is not a “one-shot” activity! You need a flexible canvas for refining your ideas as you write.\n\n[Stew](https://www.linkedin.com/in/stew-fortier/) (CEO) is an entrepreneur with a lifelong passion for writing. [Stefan](https://www.linkedin.com/in/stefanli/) (CTO) is a software engineer with previous experience building advanced document editors.\n\n### Start writing with Type\n\nIf you are planning to write a bunch this year, please drop your info below and we will send you an invite ASAP:\n\n👉 [Request an invite](https://type.ai/)\n\nThanks!\n\nStew & Stefan",
        "url": "https://www.ycombinator.com/launches/I2D-type-an-ai-first-document-editor",
        "votes": 32,
        "created_at": "2023-02-15T23:16:56.973Z"
      },
      {
        "id": 64183,
        "title": "Foster – a better way to write.",
        "tagline": "Tap a button in Google Docs and watch your writing transform.",
        "body": "Hi, everyone!\n\nStew and Dan here from [Foster](https://foster.co/).\n\nFoster is a button that lives inside Google Docs. Writers can tap it to get collaborative support on their writing within 24 hours.\n\nBehind the scenes, we’ve built a collective of writers, editors, and experts who love jumping into first drafts and helping improve them.\n\nFoster contributors do much more than spot a missing comma; they can give you ideas on how to make a story funnier or how to make an argument air-tight.\n\n### **Quality writing wins**\n\n**Writing on the Internet follows a power law.** The _best_ piece of writing on a topic tends to have an exponentially larger impact than the average piece.\n\n**But writing great stuff is hard.** Most writers publish into the void, hoping for constructive feedback that never comes.\n\n### **We help writers and content teams produce better writing**\n\nFoster’s [Chrome extension](https://foster.co) lets anyone summon editors and experts to appear directly inside of their work and help them produce something great.\n\nAll drafts on Foster are privately routed to vetted contributors who we believe will be able to push them forward.\n\nMost automated writing and grammar tools can only catch relatively minor errors. We’re focused on what we consider to be the harder part of the process: how do you turn a rough draft into something timeless?\n\n### **Foster is easy to use**\n\nWriters never have to leave Google Docs to use Foster.\n\nHere’s what the process looks like:\n\n1. Write.\n2. Share the draft with Foster.\n3. Receive constructive suggestions.\n4. Rewrite and incorporate the best feedback.\n5. Publish.\n\n### **Writers love it**\n\nThe most common word we hear from our early users is “[Amazing](https://share.cleanshot.com/NNMuxM).”\n\nCoincidentally, many of our early users are YC founders or Hacker News regulars. Both of these drafts were sent through Foster prior to being submitted to HN: [We need a middle class for startups](https://news.ycombinator.com/item?id=31327219),  [What's the Future of IDEs?](https://news.ycombinator.com/item?id=29304667)\n\nAnd while it’s exciting to see individual pieces improve, many writers tell us that using Foster has elevated their writing skills generally ([Tweet](https://twitter.com/tomcritchlow/status/1535404631123173376)) and motivated them to write more ([Tweet](https://twitter.com/liuxi/status/1511191555796729862)).\n\n### **We’re ready to support your writing**\n\nToday, we’re ready to help everyone produce better writing.\n\n**You can sign up for one of our new plans and get high-quality support on your next draft here:**\n\n<https://foster.co>\n\nYou can use the code “FIRSTDRAFT” for a free month of the Hobbyist or Basic plan.",
        "url": "https://www.ycombinator.com/launches/GhD-foster-a-better-way-to-write",
        "votes": 38,
        "created_at": "2022-06-29T16:10:15.154Z"
      }
    ]
  },
  {
    "id": 28366,
    "name": "Vendora",
    "slug": "vendora",
    "former_names": [
      "Jaldi"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c7be06dcb8a54a9986497faea1a7a0198198f052.png",
    "website": "https://www.vendora.io/",
    "all_locations": "New York City, NY, USA",
    "long_description": "Vendora is building a generational company in one of the largest industries out there - grocery. We build software to serve the $1 trillion dollar (over 3% of US GDP) grocery industry. This ranges from point of sale, payments, e-commerce, inventory management, loyalty, and advanced analytics with more on the horizon. \r\n\r\nWe’re taking bleeding edge technology and an AI-focused approach to modernizing an industry stuck in legacy software and practices. Backed by Y Combinator and investors with deep expertise in retail, we are a team of operators from Amazon, Uber, Tesla, Figma and McKinsey in transforming a sector that touches us all.\r\n\r\n",
    "one_liner": "All-in-One Software for the $1T Grocery Industry",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Retail",
    "launched_at": 1677283319,
    "tags": [
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      "Payments",
      "B2B",
      "Retail",
      "AI"
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Active",
    "industries": [
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      "America / Canada",
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    "stage": "Early",
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    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/vendora",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/vendora.json",
    "year_founded": 2022,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/getvendora",
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    "company_photos": [],
    "primary_partner": {
      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
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    "founders": [
      {
        "user_id": 1224770,
        "full_name": "Sunny Singh",
        "title": "Founder",
        "founder_bio": "Sunny Singh grew up in supermarkets - his family owns and operates a mid-sized chain in the US. He has carried a passion for food and retail throughout his career. Prior to founding Vendora, Sunny was the Head of US Strategy & Expansion for Uber Grocery/Cornershop. He joined Cornershop from Amazon, where he spent years across their grocery businesses, speciality fulfillment, and search science and AI teams. Sunny graduated from Columbia University and is a proud native New Yorker. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/sunnysng/",
        "x_url": "https://twitter.com/yetanothersunny",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3816805d2f3c62d2f009311ab8030ad9621922c9.jpg"
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    ],
    "jobs": [
      {
        "id": 69135,
        "title": "Full Stack Software Engineer at Vendora (W23)",
        "url": "https://www.ycombinator.com/companies/vendora/jobs/HFjtfzf-full-stack-software-engineer-at-vendora-w23",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$70K - $160K",
        "equity_range": "0.15% - 0.80%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
          "Express",
          "JavaScript",
          "MongoDB",
          "Node.js",
          "PostgreSQL",
          "React",
          "React Native",
          "TypeScript",
          "Next.js"
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    ],
    "news": [
      {
        "title": "Our favorite startups from YC's Summer 2023 Demo Day, Day 1 | TechCrunch",
        "url": "https://techcrunch.com/2023/09/06/ycombinator-demo-day-one-summer-2023/",
        "date": "Sep 06, 2023"
      }
    ],
    "launches": [
      {
        "id": 74433,
        "title": "🛒 Vendora - Ecommerce enablement for grocery",
        "tagline": "Vendora is a vertical saas platform that enables grocers to earn more revenue and better manage their operations online.",
        "body": "Hey all! I’m Sunny, the founder of [Vendora](https://www.vendora.io/).\n\n**tl;dr** At Vendora, we build vertical saas for the grocery industry - today we focus on e-commerce enablement, helping grocers make the most of their digital channels. Think of us as Shopify Meets Toast for supermarkets.  \n\n### Problem\n\nA monumental $800B grocery industry runs on outdated systems and manual processes. In an age where 12% of grocery sales have gone online, many grocers are getting left behind, lacking the tools to adapt and make the most of this emerging channel. Grocers need to adapt to compete with the Amazon and Walmarts of the world.\n\n### Solution\n\nVendora is solving this problem by being the one platform grocers need to engage with customers digitally. We make it easy for them to succeed online. \n\nBy connecting with their existing stack, we ingest their data, augment it through our AI powered workflows, and set up accurate, enhanced data feeds to their third parties. We also give them their own storefront (website and app) so they can own more of the customer relationship. Along with all this, we give them the tools to easily manage these channels, optimize their performance, and engage with their customers.  \n\n### Who am I?\n\n![uploaded image](/media/?type=post&id=74433&key=user_uploads/1224770/f850f527-6a20-494e-be39-33fa37d566cb)\n\nI’ve quite literally have been in the grocery space for my entire life. \n\nI grew up in grocery stores, working in my family’s supermarkets, seeing it go from a single 500 sq ft family store in Queens, NY to a chain of stores. I’ve seen it all first hand (stocking, the register, backoffice, you name it). \n\nProfessionally, I was the Head of US Strategy at Uber Grocery coming in through Uber’s acquisition of Cornershop, where I earned my startup stripes. I began my career at Amazon's US Grocery team, worked on ops for Amazon Fresh, and then the Search Science and AI team. I’ve seen how some of the best companies on the planet run things and I’m channeling that expertise into Vendora. \n\n### Ask\n\nKnow any grocers that want to start selling online or earn even more on existing channels? Send them our way. [founders@vendora.io](mailto:founders@vendora.io)",
        "url": "https://www.ycombinator.com/launches/JMX-vendora-ecommerce-enablement-for-grocery",
        "votes": 25,
        "created_at": "2023-08-28T14:59:06.995Z"
      },
      {
        "id": 69777,
        "title": "🛒🥭 Jaldi – South Asian Groceries Delivered!",
        "tagline": "Jaldi is the online supermarket for South Asians living in the US",
        "body": "Hey everyone!  Sunny here from [Jaldi](https://getjaldi.com/). \n\nTL;DR: **Jaldi delivers your favorite South Asian groceries, household items, and beauty products right to your door**. Give us a try (use discount code LaunchYC at checkout or [click here to have it autoapply](https://getjaldi.com/discount/LaunchYC)) and share with your friends (<https://linktr.ee/getjaldi>). \n\n### 🛒 **What is Jaldi?**\n\nJaldi is the online supermarket for South Asians living in the US. We deliver thousands of South Asian grocery, beauty, and household products right to customers’ doors through nationwide and same-day local delivery. Available at [getjaldi.com](http://getjaldi.com) and on [our mobile apps](https://getjaldi.onelink.me/0mSJ/j3y5iudn), we offer the most seamless shopping experience for anyone looking to explore the rich cultural diversity of South Asia or simply get a taste of home. \n\n![uploaded image](/media/?type=post&id=69777&key=user_uploads/1224770/0bf887ba-cb0f-499b-a287-d9447dfe5536)\n\nCurrently we offer nationwide shipping of non-perishable items (get your [Kurkure](https://getjaldi.com/products/kurkure-masala-munch-82g/?variant=%2044438553690429), [Thums Up](https://getjaldi.com/products/thumps-up-300-ml/?variant=%2044141331218749), [Dals](https://getjaldi.com/pages/dal-beans?filter.p.tag=Nationwide), etc.) and local same-day delivery of a full selection of South Asian groceries ([dahi](https://getjaldi.com/products/0rganic-whole-milk-dahi-2-l?variant=44141385253181), fruits & vegetables, frozen meals, etc.) in New Jersey. \n\n### 🤔 **Why does Jaldi exist?**\n\nWhile the last five years saw a fivefold increase in US online grocery penetration, little has changed for South Asians living in the US. Few South Asian supermarkets offer delivery and often struggle on inventory and quality when they do. Selection online can often be expensive, elusive, and leave the customer wanting for more. \n\n**The South Asian consumer deserves better. That’s why I started Jaldi.** \n\nSouth Asians in the US are the highest earning and fastest growing ethnic demographic - yet there are few shopping experiences that cater specifically to them. Jaldi is building the first-class e-commerce experience for the South Asian diaspora. The next wave in retail will be cultural commerce, how communities shop and interact with what they buy. Jaldi is leading the way in this emerging space. \n\n### 🧔🏻‍♂️ **Why am I the one building this?**\n\nI’ve spent my life in this space. I grew up in South Asian supermarkets - my family runs a large chain in the US. My first job out of college was working on Amazon’s grocery business, wearing many hats over the few years I spent there. Most recently, I was the Head of US Strategy & Expansion for Uber’s Grocery business. I’ve seen the grocery industry (and specifically the South Asian consumables space) from multiple angles and see the opportunity to build an amazing customer experience here. \n\n### 💥 **The Deal**\n\nOrder! Browse the site ([check out our Popular Picks](https://getjaldi.com/pages/popular-picks) if you can’t make up your mind).You can use the discount code LaunchYC at checkout for 10% off and free shipping on your first $50 order. \n\n* [Download the app](https://getjaldi.onelink.me/0mSJ/j3y5iudn)\n* [Go straight to](https://getjaldi.com/) [getjaldi.com](http://getjaldi.com)\n\n### 🙏🏽 **Our Ask**\n\nFollow us and share! We’ll be highlighting some of our favorite products and special deals on our socials, help us spread the word!\n\n* [Facebook](https://www.facebook.com/getjaldiofficial)\n* [Instagram](https://www.instagram.com/getjaldi/)\n* [Twitter](https://twitter.com/getjaldi)\n* [Pinterest](https://www.pinterest.com/getJaldi/)\n* [Linkedin](https://www.linkedin.com/company/getjaldi)\n\n### 🗣️ **What are customers are saying?**\n\n_I love your service. Please accept few more orders in future._ \\[He bought all of our inventory on a product\\]_. Great work! Thank you for your business_ \n\n_Sunny!!! I got the groceries. Seamless process, actually so smooth._\n\n_Honestly, I had never stepped foot into a South Asian supermarket and didn't know what to expect. Ordered some of the recommended products, now I can't get enough of Thums Up and Kurkure!_\n\n![uploaded image](/media/?type=post&id=69777&key=user_uploads/1224770/6576e5fd-0ca9-4e38-93d8-1ad4934e03ac)\n\n_Screenshot shared by an enthusiastic batchmate and Jaldi fan!_",
        "url": "https://www.ycombinator.com/launches/I9R-jaldi-south-asian-groceries-delivered",
        "votes": 159,
        "created_at": "2023-02-28T20:07:14.007Z"
      }
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    "id": 28409,
    "name": "LiteLLM",
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      "BerriAI"
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    "one_liner": "Call every LLM API like it's OpenAI [100+ LLMs]",
    "team_size": 20,
    "industry": "B2B",
    "subindustry": "B2B",
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    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/litellm",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/litellm.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/berri-ai/",
    "x_url": "https://twitter.com/LiteLLM",
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    "github_url": "https://github.com/BerriAI/litellm",
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    "primary_partner": {
      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
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    "founders": [
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        "full_name": "Krrish Dholakia",
        "title": "Founder",
        "founder_bio": "",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/krish-d-959044116/",
        "x_url": "https://twitter.com/krrish_dh",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f1bfcbb699a14e3d5bfb786ec2e197310b0d5aa8.jpg"
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      {
        "user_id": 1083928,
        "full_name": "Ishaan Jaffer",
        "title": "Founder",
        "founder_bio": "",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/reffajnaahsi/",
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        "id": 81269,
        "title": "Backend Performance Engineer",
        "url": "https://www.ycombinator.com/companies/litellm/jobs/vopbPrG-backend-performance-engineer",
        "location": "San Francisco, CA, US / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$150 - $200",
        "equity_range": "0.50% - 3.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
          "Python",
          "Rust"
        ]
      },
      {
        "id": 84038,
        "title": "Technical Support Engineer",
        "url": "https://www.ycombinator.com/companies/litellm/jobs/ooYRlW4-technical-support-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Support",
        "role_type": null,
        "salary_range": "$80K - $100K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 102150,
        "title": "Senior Security Engineer",
        "url": "https://www.ycombinator.com/companies/litellm/jobs/LBkjpsF-senior-security-engineer",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$220K - $260K",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 102151,
        "title": "Senior Backend Engineer",
        "url": "https://www.ycombinator.com/companies/litellm/jobs/qwvhKQ3-senior-backend-engineer",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$200K - $260K",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 102152,
        "title": "Head of Engineering",
        "url": "https://www.ycombinator.com/companies/litellm/jobs/pvPak4L-head-of-engineering",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$250K - $300K",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 102153,
        "title": "Rust Engineer",
        "url": "https://www.ycombinator.com/companies/litellm/jobs/pEr48ZR-rust-engineer",
        "location": "San Francisco / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$220K - $280K",
        "equity_range": "0.10% - 0.30%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
          "C",
          "C++",
          "Elixir",
          "Rust"
        ]
      },
      {
        "id": 102154,
        "title": "Senior Support Engineer",
        "url": "https://www.ycombinator.com/companies/litellm/jobs/d7mRzGE-senior-support-engineer",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $170K",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 102155,
        "title": "Product Engineer ",
        "url": "https://www.ycombinator.com/companies/litellm/jobs/2gwsUNT-product-engineer",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$200K - $260K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 102156,
        "title": "Senior Support Engineer - Brazil",
        "url": "https://www.ycombinator.com/companies/litellm/jobs/QDeS0F3-senior-support-engineer-brazil",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
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        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 102157,
        "title": "Senior Support Engineer - India",
        "url": "https://www.ycombinator.com/companies/litellm/jobs/gxtoDSb-senior-support-engineer-india",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 102158,
        "title": "Security Engineer",
        "url": "https://www.ycombinator.com/companies/litellm/jobs/ixoSdM3-security-engineer",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$200K - $230K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 102159,
        "title": "Staff Engineer",
        "url": "https://www.ycombinator.com/companies/litellm/jobs/XVj6hFt-staff-engineer",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$240K - $270K",
        "equity_range": "",
        "experience": "8+ years",
        "visa": "US citizen/visa only",
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        "id": 102358,
        "title": "AI Engineer",
        "url": "https://www.ycombinator.com/companies/litellm/jobs/Go3e4fQ-ai-engineer",
        "location": "San Francisco",
        "type": "Full-time",
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        "role_type": "Full stack",
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        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 102359,
        "title": "Founding Developer Relations",
        "url": "https://www.ycombinator.com/companies/litellm/jobs/k3JohCT-founding-developer-relations",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$150K - $220K",
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        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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      },
      {
        "id": 103305,
        "title": "Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/litellm/jobs/XgKWHmI-forward-deployed-engineer",
        "location": "United States",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$200K - $250K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 103536,
        "title": "Technical Account Manager",
        "url": "https://www.ycombinator.com/companies/litellm/jobs/ueVWwAV-technical-account-manager",
        "location": "United States / San Francisco",
        "type": "Full-time",
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        "role_type": null,
        "salary_range": "$150K - $220K",
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        "experience": "5+ years",
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        "id": 104626,
        "title": "Forward Deployed Engineer (New Grad)",
        "url": "https://www.ycombinator.com/companies/litellm/jobs/y6DQJrA-forward-deployed-engineer-new-grad",
        "location": "United States",
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      {
        "id": 104756,
        "title": "Forward Deployed Engineer - India",
        "url": "https://www.ycombinator.com/companies/litellm/jobs/8ya5TlZ-forward-deployed-engineer-india",
        "location": "Remote (US)",
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        "role_type": "Full stack",
        "salary_range": "$50K - $90K",
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        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
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        "id": 105548,
        "title": "VP of Sales",
        "url": "https://www.ycombinator.com/companies/litellm/jobs/gRSMQEO-vp-of-sales",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
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    "launches": [
      {
        "id": 74316,
        "title": "🚅 LiteLLM - Call all LLM APIs using the OpenAI format [Llama2, Anthropic, Huggingface, etc.]",
        "tagline": "Add 100+ new LLMs to your application, with a drop-in replacement for the openai chat completion call.",
        "body": "Hello, I’m Ishaan - one of the maintainers of [LiteLLM.](https://github.com/BerriAI/litellm/)\n\n**TLDR; LiteLLM let’s you call all LLM APIs (Azure, Anthropic, Replicate, etc.) using the OpenAI format. We translate the inputs, standardize exceptions, and guarantee consistent outputs for completion() and embedding() calls**\n\n![uploaded image](/media/?type=post&id=74316&key=user_uploads/1083928/3b30d01e-433a-48e1-9a58-10a34913d45d)\n\n### **Problem ❌: Multiple LLM APIs - Hard to debug**\n\nCalling LLM APIs involved **multiple \\~100 line if/else statements** which made our **debugging problems explode.**\n\nI remember when we added Azure and Cohere to our chatbot. Azure’s API calls would fail so we implemented model fallbacks - (e.g. if Azure fails, try Cohere then OpenAI etc.). However, provider-specific logic meant our code became increasingly complex and hard to debug.\n\n# **Solution 💡**\n\n# 1️⃣ Simplify calling existing LLM APIs\n\nThat’s when we decided to abstract our LLM calls behind a [single package - LiteLLM.](https://github.com/BerriAI/litellm) We needed I/O that just worked, so we could spend time improving other parts of our system (error-handling/model-fallback logic, etc.).\n\n[LiteLLM](https://github.com/BerriAI/litellm) does 3 things really well:\n\n* **Consistent I/O:** It removes the need for multiple if/else statements.\n* **Reliable**: Extensively tested with 50+ cases and used in our production environment.\n* **Observable**: Integrations with Sentry, Posthog, Helicone, etc.\n\n### 2️⃣ Easily add new LLM APIS - [LiteLLM UI](https://docs.litellm.ai/docs/debugging/hosted_debugging)\n\n![uploaded image](/media/?type=post&id=74316&key=user_uploads/1083928/8624880b-20dc-4f39-8b40-1537c91a5380)\n\nThe next big challenge was adding new LLM APIs. Each addition involved 3 changes:\n\n* Update list of available models users can call from\n* Adding key to our secret manager / .env file\n* Mapping the model name - e.g. `replicate/llama2-chat-...` to a user-facing alias `llama2`.\n\nSince LiteLLM integrates with every LLM API - we provide all of this out of the box with zero configuration. With a single environment variable - `LITELLM_EMAIL` you can automatically add 100+ new LLM API integrations into your production server, **without modifying code / redeploying changes 👉** [LiteLLM UI](https://docs.litellm.ai/docs/debugging/hosted_debugging)\n\n## Ask 👀:\n\n* Adding new LLM providers? Contact us at [krrish@berri.ai](mailto:krrish@berri.ai) if you need help!\n* ⭐️ us on [GitHub](https://github.com/BerriAI/litellm) to keep up with releases and news.\n* Join [our Discord](https://discord.com/invite/wuPM9dRgDw)!",
        "url": "https://www.ycombinator.com/launches/JKe-litellm-call-all-llm-apis-using-the-openai-format-llama2-anthropic-huggingface-etc",
        "votes": 26,
        "created_at": "2023-08-22T19:05:23.350Z"
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    "id": 28410,
    "name": "Finta",
    "slug": "finta",
    "former_names": [
      "Porter"
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    "website": "https://www.finta.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Automated bookkeeping, effortless tax filing, real‑time insights.\r\n\r\nSet up in 10 mins and get back to building.",
    "one_liner": "Magically simplify accounting and taxes",
    "team_size": 2,
    "industry": "B2B",
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    "top_company": false,
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    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Active",
    "industries": [
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    "regions": [
      "United States of America",
      "America / Canada",
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    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/finta",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/finta.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/finta/",
    "x_url": "https://x.com/finta",
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        "full_name": "Andy Wang",
        "title": "Founder",
        "founder_bio": "Founder at Finta",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/a27wang/",
        "x_url": "https://www.twitter.com/andywang",
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    "jobs": [
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        "id": 66636,
        "title": "Founding Designer",
        "url": "https://www.ycombinator.com/companies/finta/jobs/awUE3Ik-founding-designer",
        "location": "San Francisco, CA, US / Remote",
        "type": "Full-time",
        "role": "Design",
        "role_type": "Product design",
        "salary_range": "$140K - $220K",
        "equity_range": "1.00% - 5.00%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 81583,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/finta/jobs/vg5fXEw-founding-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
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        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
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      },
      {
        "id": 91067,
        "title": "Founding Design Engineer",
        "url": "https://www.ycombinator.com/companies/finta/jobs/4PPf5gR-founding-design-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Frontend",
        "salary_range": "$100K - $180K",
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        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": [
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        "id": 96605,
        "title": "Community/Events Lead",
        "url": "https://www.ycombinator.com/companies/finta/jobs/q0zw6lg-community-events-lead",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$120K - $160K",
        "equity_range": "1.00%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 116637,
        "title": "Founding Account Executive",
        "url": "https://www.ycombinator.com/companies/finta/jobs/sHWPMUf-founding-account-executive",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
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        "experience": "3+ years",
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        "id": 116638,
        "title": "Partnerships Lead",
        "url": "https://www.ycombinator.com/companies/finta/jobs/TwH2Nxi-partnerships-lead",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$165K - $190K",
        "equity_range": "",
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    "news": [
      {
        "title": "From student investor to startup success | Waterloo News | University of Waterloo",
        "url": "https://uwaterloo.ca/news/arts/student-investor-startup-success",
        "date": "Jan 11, 2024"
      },
      {
        "title": "TechCrunch Disrupt 2023 Startup Battlefield",
        "url": "https://techcrunch.com/2023/08/24/introducing-the-startup-battlefield-200-companies-at-techcrunch-disrupt-2023/",
        "date": "Aug 24, 2023"
      },
      {
        "title": "Finta is carrying accounting software's bags to the curb",
        "url": "https://thefounderspack.beehiiv.com/p/porter-carrying-accounting-softwares-bags-curb",
        "date": "May 18, 2023"
      },
      {
        "title": "Enterprise trends from YC W23 Demo Day",
        "url": "https://www.wing.vc/content/enterprise-trends-from-yc-w23-demo-day",
        "date": "Apr 14, 2023"
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        "id": 73364,
        "title": "📘Finta: Accounting Platform for Startups",
        "tagline": "Manage bookkeeping, taxes, and get financial insights in one app",
        "body": "### **TL;DR**\n\n[Finta](https://www.finta.com) is the simplest way for startup founders and operators to manage taxes, bookkeeping, and track financial metrics - all in one platform.\n\nFinta replaces expensive bookkeepers, Quickbooks, and Google Sheets.\n\n![uploaded image](/media/?type=post&id=73364&key=user_uploads/311901/9c32e2c7-32f6-420a-ba5d-8c1a020c2dc6)\n\n### **Problem**\n\n1\\. Expensive bookkeepers with deceptive billing practices\n\n* Starts at $700+/month for startups\n* Price goes up based on expenses, not value\n* Charge to bank account directly without notice\n\n2\\. Repeated questions, mistakes, and late results\n\n* Asks repeatedly simple about categorizing expenses\n* Asks accounting questions that they should be educating you on\n* Put you on tax extensions and don’t file by the April deadline\n* Deliver financial results 3 weeks after the month ended\n\n3\\. Dealing with multiple people and tools\n\n* Introduced to a new person on your account every month\n* Paying for Quickbooks, but you don’t use it\n\n4\\. After all this, still can’t understand your finances\n\n* Can’t get accurate results on cash, burn, runway\n* Don’t understand why financials went up or down\n* No visibility into your revenue or expenses\n\n![uploaded image](/media/?type=post&id=73364&key=user_uploads/311901/7a28573d-2d16-429d-a877-47d58256d1e6)\n\n### **Solution**\n\n1\\. Transparent and fairly-priced\n\n* Flat price per year, does not increase until your next funding round\n* Includes monthly bookkeeping, taxes, and insights\n\n2\\. Accurate results on time, and proactive on your taxes\n\n* No repeated or common-sense questions, unless we’re not sure\n* You’ll never do anything manually. We value your time.\n* Monthly bookkeeping within the first few days\n* Taxes are always on file time and get proactive notices\n\n3\\. All-in-one platform\n\n* We built accounting from the core, not a wrapper on Quickbooks\n* Actual software, not a form or messaging portal\n\n4\\. Source of truth for your financials\n\n* Easily connect with tools you already use\n* Modernize your finance tech stack\n\n![uploaded image](/media/?type=post&id=73364&key=user_uploads/311901/06a2b765-545e-4a30-b218-919c3650b315)\n\n### **Frequently Asked Questions**\n\n**How does Finta differ from bookkeepers like Pilot?**\n\nThey do your bookkeeping in Quickbooks. Finta replaces both bookkeeping and taxes, and gives you way more financial insights.\n\n**How does onboarding work for Finta?**\n\nSign up, integrate, and that’s it! It’s at most 10 minutes.\n\n**What if I already have a bookkeeper that manages Quickbooks?**\n\nIt’s the same process to onboard. Finta will actually enrich the data that Quickbooks can’t pull from your existing finance tools.\n\n**What’s the risk of not using Quickbooks?**\n\nNo VC or customer will ever require you to be on Quickbooks. In fact, no one likes Quickbooks.\n\nIf, for whatever reason, you need to go back to Quickbooks, we’ll provide white-glove service for free and help you migrate. However, you’ll lose transaction details because of Quickbooks’ limitations.\n\n**What taxes do you handle?**\n\nFinta handles everything from franchise and income taxes at the city, state, and federal levels. Finta also provides R&D tax credit services.\n\n**How frequently are my results?**\n\nWe’re aiming to give you a real-time dashboard. As of today, we deliver bookkeeping and financial reporting every month.\n\n### **Get Finta**\n\nVisit [www.finta.com](http://www.finta.com) or send me an email at andy at finta dot com",
        "url": "https://www.ycombinator.com/launches/J5I-finta-accounting-platform-for-startups",
        "votes": 63,
        "created_at": "2023-07-24T18:24:13.688Z"
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    "id": 28412,
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    "slug": "speedy-labs",
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    "website": "https://speedylabs.ai/",
    "all_locations": "Toronto, ON, Canada; Remote",
    "long_description": "Speedy Labs helps manufacturers and distributors ditch error-prone spreadsheets that cost them millions in missed rebate opportunities for an AI-powered solution that not only tracks rebate payments and their performance but also unlocks insights from their financial data silos that uplifts their bottom-line profit margins.\r\n\r\n$1 trillion worth of rebates are exchanged every year in North America alone.",
    "one_liner": "Maximize profits with AI-powered rebate management.",
    "team_size": 8,
    "industry": "B2B",
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    "launched_at": 1676873926,
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    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Active",
    "industries": [
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    "regions": [
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      "America / Canada",
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/speedy-labs",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/speedy-labs.json",
    "year_founded": 2023,
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    "country": "CA",
    "linkedin_url": "https://www.linkedin.com/company/89983427/",
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      "url": "https://www.ycombinator.com/people/harj-taggar"
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    "founders": [
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        "user_id": 1148352,
        "full_name": "Jatin Mehta",
        "title": "Founder",
        "founder_bio": "Having built AI algorithms for cancer detection from mammograms, I'm on a mission to apply AI for good at scale. 50% of the businesses fail in the first 5 years according to U.S. Bureau of Labor Statistics. Currently building Speedy Brand to democratize marketing for SMBs across the USA with generative AI to help support budding entrepreneurs establish their online presence and get their business a better chance at surviving.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jatinmehta1/",
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        "full_name": "Ranti Dev Sharma",
        "title": "Founder",
        "founder_bio": "Speedy, Vetan, Apple, Microsoft, AI",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/rantidevsharma/",
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        "full_name": "Ayush Jasuja",
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        "id": 83637,
        "title": "Software Engineer - Backend (Remote)",
        "url": "https://www.ycombinator.com/companies/speedy-labs/jobs/Ov3fOAY-software-engineer-backend-remote",
        "location": "IN / Remote (IN)",
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      {
        "id": 86410,
        "title": "Forward Deployed Engineer (Remote – US Time Zones)",
        "url": "https://www.ycombinator.com/companies/speedy-labs/jobs/O9XWRyK-forward-deployed-engineer-remote-us-time-zones",
        "location": "IN / Remote (IN)",
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        "role_type": "Backend",
        "salary_range": "₹1M - ₹2M INR",
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        "id": 89031,
        "title": "Founding Senior Business Development Representative",
        "url": "https://www.ycombinator.com/companies/speedy-labs/jobs/wTqml8O-founding-senior-business-development-representative",
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        "id": 113406,
        "title": "Customer Success Manager/Engineer",
        "url": "https://www.ycombinator.com/companies/speedy-labs/jobs/4KFowWQ-customer-success-manager-engineer",
        "location": "US / CA / Remote (US; CA)",
        "type": "Contract",
        "role": "Product",
        "role_type": null,
        "salary_range": "$60K - $120K",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "SpeedyBrand uses generative AI to create SEO-optimized content | TechCrunch",
        "url": "https://techcrunch.com/2023/07/07/speedybrand-generative-ai-marketing/",
        "date": "Jul 07, 2023"
      }
    ],
    "launches": [
      {
        "id": 69662,
        "title": "Speedy - Democratizing marketing to SMBs",
        "tagline": "Effective & affordable content marketing using Generative AI",
        "body": "**TL;DR**\\\nSpeedy gets traffic for SMBs at affordable prices through content creation that is 10x faster using Generative AI. We create a custom AI model for each business, that helps you curate hyper personalized content like blogs, socials and get organic traffic on your site.\n\n### **Problem**\n\n* SMBs cannot afford the high fees of digital marketing agencies that go into thousands of dollars per month.\n* Due to a limited marketing budget, they often lose traffic to more prominent companies.\n* They lack the time and resources to create and run content marketing campaigns.\n\n### **Solution**\n\nUsing Generative AI, Speedy creates SEO-optimized blogs and social media content, which SMBs can use to do effective marketing at a price that works for them.\n\n**How does it work?**\n\n1. Once you onboard to our monthly/annual plan, we conduct a branding workshop to feed into our models to help bring your brand’s voice to the content.\n2. For a monthly subscription, you get 4 blogs and 16 social media posts that are SEO-optimized.\n3. For an annual subscription, you get monthly benefits + a monthly newsletter + an annual content strategy.\n\n### **Backstory**\n\nWhile serving SMBs at Vetan (a payroll app), we realized they did not have the budget for the expensive marketing agencies. As an online business, having effective content around its products is crucial to get leads. At Speedy, we understand that creating engaging content can be time-consuming and expensive. That's why we offer affordable plans that include weekly SEO-optimized blog posts and social media posts for Facebook, Instagram, LinkedIn, and Twitter. And with our high-conversion ad copies for Google, Facebook, Instagram, and more, you can take your ad campaigns to the next level.\\\n\\\n**🙏 Asks**\\\n1\\. Checkout our demo for your website <https://speedybrand.io/> \\\n2\\. If you know an SMB/early-stage startup that might need us, happy to connect on [founders@speedybrand.io](mailto:founders@speedybrand.io)\\\n\\\n💰 **Deal**\\\nAs a YC company, **get 50% off** our monthly and annual plans.",
        "url": "https://www.ycombinator.com/launches/I7a-speedy-democratizing-marketing-to-smbs",
        "votes": 43,
        "created_at": "2023-02-24T20:43:03.543Z"
      }
    ]
  },
  {
    "id": 28414,
    "name": "Automat",
    "slug": "automat",
    "former_names": [
      "Lasso",
      "Automat (formerly lasso)"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/55c324c494df9a6e5d939b7ecdc8e94880f2d575.png",
    "website": "https://www.runautomat.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Automat is an AI automation company that replaces slow manual work and brittle legacy RPA with agents that understand context, recover from errors, and improve over time. Backed by a forward-deployed engineering team and enterprise-grade security (SOC 2, HIPAA, GDPR, ISO 27001), Automat runs reliable, human-in-the-loop automation for document-heavy industries — mortgage & lending, banking, insurance, healthcare, and manufacturing. It delivers this through two products: Automat Workforce and Automat Core.\r\n\r\nWorkforce - A digital teammate you onboard like a new hire. \r\nMeet Ace, a digital teammate with its own email, Slack, phone, and logins that works across the tools your team already uses. You reach it like a colleague (a text, a channel mention, an email, a doc comment) and it does the work end to end, asks when it needs judgment, and leaves an audit trail for everything it touches.\r\n\r\nLearn more here: https://runautomat.com/workforce \r\n\r\n\r\nCore - Managed agentic automation for enterprise \r\nManaged, AI-powered process automation for the enterprise. Automat Core replaces legacy RPA with self-healing agents that combine UI automation, AI document extraction (IDP), and API workflows in one platform. Automat's team builds, tests, and monitors every automation, so operations go live in days (not months), run reliably at scale, and cut operational costs — with human review wherever precision matters.\r\n\r\nLearn more here [https://runautomat.com/capabilities](https://runautomat.com/capabilities)",
    "one_liner": "Agentic automation that understands context, recovers, and improves.",
    "team_size": null,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1677178978,
    "tags": [
      "Documents",
      "Developer Tools",
      "Robotic Process Automation",
      "Automation",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Active",
    "industries": [
      "B2B",
      "Operations"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Growth",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/automat",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/automat.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/90558949/admin/",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/55c324c494df9a6e5d939b7ecdc8e94880f2d575.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
    },
    "founders": [
      {
        "user_id": 415306,
        "full_name": "Lucas Ochoa",
        "title": "Founder",
        "founder_bio": "CEO at Automat | Ex:Google & Microsoft",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/lucas-ochoa-51222678/",
        "x_url": "https://twitter.com/lucas0choa",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a3460bb02cae910a8167c7a514d4b7c6208771d6.jpg"
      },
      {
        "user_id": 249452,
        "full_name": "Gautam Bose",
        "title": "Founder",
        "founder_bio": "Open Laptop, an Open Mind",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/gautambose/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6cc3e7ee978641ccc9ae1932877dff2f101c8f69.jpg"
      }
    ],
    "jobs": [
      {
        "id": 77831,
        "title": "Applied AI Engineer",
        "url": "https://www.ycombinator.com/companies/automat/jobs/JyD9j1f-applied-ai-engineer",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$175K - $220K",
        "equity_range": "0.25% - 1.00%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 77834,
        "title": "Sales Development Representative",
        "url": "https://www.ycombinator.com/companies/automat/jobs/95CHPIW-sales-development-representative",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$90K - $130K",
        "equity_range": "0.02% - 0.05%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 77835,
        "title": "Enterprise Account Executive (Full Cycle)",
        "url": "https://www.ycombinator.com/companies/automat/jobs/WDGBMTs-enterprise-account-executive-full-cycle",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$90K - $140K",
        "equity_range": "0.02% - 0.05%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 79159,
        "title": "Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/automat/jobs/QfHWU1w-forward-deployed-engineer",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$145K - $185K",
        "equity_range": "0.05% - 0.20%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 81081,
        "title": "Senior Software Engineer",
        "url": "https://www.ycombinator.com/companies/automat/jobs/Uak8GDJ-senior-software-engineer",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$175K - $220K",
        "equity_range": "0.05% - 0.25%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "Automat Raises $15.5M Series A | Automat",
        "url": "https://www.runautomat.com/blog/automat-raises-15-5m-series-a",
        "date": "Nov 19, 2025"
      },
      {
        "title": "Y Combinator-backed Automat turns videos into workflow automations | TechCrunch",
        "url": "https://techcrunch.com/2023/09/06/y-combinator-backed-automat-turns-videos-into-workflow-automations/?guccounter=1&guce_referrer=aHR0cHM6Ly93d3cuZ29vZ2xlLmNvbS8&guce_referrer_sig=AQAAAMl7GrmIJwYOYFCoUcYfqNTrV0r82APvTlpVt0DMIEyjpjQS9MtJb9DFuiE2HtyaFOpOQzv4SZPUnB89Y9Lxdkdk1vXkAKBjYDjtkKkbSOpUGhc_GhcgUMy3aS5HO5L99OwXIn1t8_zFB9_NfDUPitSBQXBL-PWj4j52H5k2nzke",
        "date": "Sep 06, 2023"
      },
      {
        "title": "These Y Combinator-backed startups are trying to build 'ChatGPT for X'",
        "url": "https://techcrunch.com/2023/04/04/these-y-combinator-startups-are-trying-to-build-chatgpt-for-x/",
        "date": "Apr 04, 2023"
      },
      {
        "title": "The Top 34 Companies of the W23 Program with a focus on AI",
        "url": "https://www.cerebralvalley.com/post/a-synopsis-of-y-combinator-companies-in-the-w23-batch-of-startups",
        "date": "Mar 15, 2023"
      },
      {
        "title": "AI-led change means businesses must adopt more quickly.",
        "url": "https://russmalz.com/ai-led-change-is-forcing-businesses-to-adapt-quickly-and-the-pace-is-accelerating/",
        "date": "Feb 26, 2023"
      }
    ],
    "launches": [
      {
        "id": 117458,
        "title": "Ace from Automat: it's instinct, but for work",
        "tagline": "Hire an AI teammate with its own computer, phone number, inbox, and logins. It works inside the tools you already use and hands back finished work, not status updates.",
        "body": "Hi! Lucas here from Automat. Stoked to share what the team's been heads-down on: Ace. It's instinct, but for work. **The TL;DR: you can now hire an AI teammate.**\n\nEvery team we talk to wants AI teammates, but doesn't know how to actually put one to work. Maybe you've tried homebrewing OpenClaw or Hermes. The two usual options both whiff: traditional automation (UiPath) makes you sign up for a months-long integration project before it does one useful thing, and AI \"assistants\" hand you a wall of text, and you still go do the work yourself.\n\n**Ace is different.** You onboard it like any new hire, and it shows up where the work happens:\n\n• Forward it an email or cc its own inbox, and the draft lands in your Drive with the judgment calls left as comments.\n\n• @Ace in Slack after a call, and the summary + action items land on the opportunity.\n\n• Text it between meetings (\"move Thursday to Friday and tell them why\"), and it updates the invite, emails everyone, and confirms.\n\n• Ping it in a doc comment, or have it make a call on its own line.\n\nWhat comes back is finished work: CRM updated, email sent, invoice reconciled. When it hits a real fork in the road, it hands you the open questions instead of guessing.\n\n**Why trust it?** We spent two years automating high-volume work in mortgage, lending, and insurance, where a wrong answer is a compliance problem. Ace pairs a deterministic engine for must-be-identical work with AI for the fuzzy stuff. Every run is logged step by step, you set what needs approval, and you can revoke access like any employee's. SOC 2, encrypted credentials, role-based access.\n\n\"I really tried hard not to like this product, and I'm in love.\" — Asa Block, COO, Near Space Labs\n\n\"It's a no-brainer… Monday to Friday you won't believe how much more stuff you get done.\" — Jack Miller, President &amp; CEO, T3 Sixty\n\n## Our asks 🙏\n\n• Try Ace: One month free with unlimited usage for the YC community only. Sign up here:(<https://runautomat.com/workforce>) Use the promo code: ACEYC30\n\n• Intros: Know a team drowning in admin across a dozen systems? Send them our way.\n\n• We're hiring! <https://runautomat.com/careers#roles>",
        "url": "https://www.ycombinator.com/launches/UYU-ace-from-automat-it-s-instinct-but-for-work",
        "votes": 1,
        "created_at": "2026-09-30T16:33:11.033Z"
      },
      {
        "id": 69615,
        "title": "Automat RPA  - Robotic process automation for Chrome using ChatGPT and computer vision",
        "tagline": "Automate anything in Chrome using natural language",
        "body": "### **TLDR: Traditional automation software is slow and expensive, Automat is 10X faster and 1/10th the price. It lets operations teams automate using natural language.**\n\nHowdy y’all! Lucas here from [Automat](https://www.getlassoai.com/) - excited to share what my cofounder Gautam and I have been working on!\n\n**🧐 The problem: Traditional Robotic Process Automation is slow and expensive.**\n\nIt’s extremely time consuming and expensive to build out robot process automations using traditional tools like UiPath (\\~$66,000 per yearly license - Yikes!) not to mention the initial consultant setup fees which most people are forced to pay if they don’t have the resources in house (at the lowest end we’re talking $50,000+ per project - Double Yikes!!)\n\n💡 **Our Solution: Automat makes it 10X cheaper and faster to build any robotic process automation using natural language on chrome.**\n\nWe’re solving this by creating a platform that enables robotics process automation for Chrome using large language models and computer vision.\n\nCurrently our customers send us descriptions or videos of the processes they’d like us to automate and we use our internal tooling to quickly build out those automations.\n\nHere is one of our customer’s attended bots in action, scraping an email, looking through a prospecting tool, and saving it to a spreadsheet.\n\n![uploaded image](https://bookface.ycombinator.com/media/?type=post&id=69615&key=user_uploads/415306/a547a684-faee-4c6e-b3db-88cef800940a)\n\n\\\nWe want to let anyone regardless of timeline or budget automate the work they do by using natural language or simply sending Automat the workflow in a screen recording.\n\n**👯 A little more about us**\n\n![uploaded image](/media/?type=post&id=69615&key=user_uploads/415306/e82023cd-a7c1-4be3-8446-f2e0c2eae6f6)\n\nGautam and Lucas met on the first day of Design school at Carnegie Mellon University and have been roommates ever since:\n\n* At Google, their team was tasked with finding product applications of [LaMDA](https://blog.google/technology/ai/lamda/) in early 2020, and they built over 50+ prototypes integrating LaMDA across Google’s products and services. Eventually Gautam would go on to implement multiple demos for Google’s [first public Demonstration of LaMDA](https://www.theverge.com/2022/5/11/23065072/google-ai-app-test-kitchen-future-io-2022), the AI test kitchen.\n* They were hired together at Google’s Creative Lab as part of the [Creative Lab 5](https://www.creativelab5.com/), at Google they spent the following three years launching products like the [AI Test Kitchen](https://blog.google/technology/ai/join-us-in-the-ai-test-kitchen/), [Everyday Helper Robots](https://everydayrobots.com/), [Teachable Machine](https://teachablemachine.withgoogle.com/), the [Google Pixel Buds Pro](https://store.google.com/product/pixel_buds_pro?hl=en-US&pli=1), and most importantly a [high speed lucky charms cereal sorter](https://coral.ai/projects/teachable-sorter) 🍀\n* At Carnegie Mellon they studied Human Computer Interaction and Design. During their Junior year they created an adorable [AI robotic assistant](https://vimeo.com/270823057) that caught Google’s attention which awarded them a grant during their senior year to [research Robotics and AI](https://vimeo.com/393172151).\n\n**🙏 Our asks**\n\nAre you struggling in a deluge of repetitive or complex tasks that you wish you could hire someone for (or automate) but don’t have the budget? Send an email to [lucas@runautomat.com](https://lucas@runautomat.com) or submit a request on our [website](https://www.getlassoai.com/).\n\nDoes the above sound like someone you know? We’d appreciate intros to anyone. Let us know and we can send you over a quick intro blurb to make it an easy email to forward.\n\n**YC Special Offer:** For the first 10 YC companies that reach out we’ll waive the setup fee associated with building your automation!",
        "url": "https://www.ycombinator.com/launches/I6p-automat-rpa-robotic-process-automation-for-chrome-using-chatgpt-and-computer-vision",
        "votes": 91,
        "created_at": "2023-02-23T19:08:21.664Z"
      }
    ]
  },
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    "id": 28486,
    "name": "Y/n",
    "slug": "yn",
    "former_names": [
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      "Can of Soup"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0e36b8395f7d2041a4dee857e320994716af5a66.png",
    "website": "https://yn.app",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Y/n is the most entertaining app in the world.\r\n\r\nOn Y/n, you play a character in your story. Be a boarding school student and get the boys to fall in love with you, or plan a jailbreak with Sherlock Holmes.\r\n\r\nStories are made for you. Your texts change the plot and how characters feel about you, so no two playthroughs are the same (but you can rewind).\r\n\r\nThere's a Y/n story for every mood: romance, fanfiction, fluff, mystery, and more. Discover 10M+ stories created by the community.\r\n\r\nCan't find the one you want? Write and publish your own.",
    "one_liner": "Play your story",
    "team_size": 4,
    "industry": "Consumer",
    "subindustry": "Consumer -> Content",
    "launched_at": 1693199001,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
      "Consumer",
      "Content"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/yn",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/yn.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "",
    "x_url": "",
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    "app_video_url": null,
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    "company_photos": [],
    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
    },
    "founders": [
      {
        "user_id": 958909,
        "full_name": "Gabriel Birnbaum",
        "title": "Founder",
        "founder_bio": "I am building Y/n. Previously, I co-founded Can of Soup, researched plasma physics, and was the first product designer at Substack.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/gabriel-b-57ba3314a/",
        "x_url": "https://twitter.com/gabirnbaum",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/210e5e63b9f94d341a04173894e0158950b22ac5.jpg"
      },
      {
        "user_id": 312314,
        "full_name": "Eric Meier",
        "title": "Founder",
        "founder_bio": "Eric Meier is the co-founder of Can of Soup, the AI photo sharing app. Prior to that, Eric worked with collaborative text editors at Slite and Liveblocks. He studied computer science at the Karlsruhe Institute of Technology prior to going into industry.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/eric-meier-34257b148/",
        "x_url": "https://twitter.com/bitphinix",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fa6deaa46f1cd3591c0fcb4f375685366c0788cd.jpg"
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    ],
    "jobs": [
      {
        "id": 94749,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/yn/jobs/lDpeUr5-founding-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $300K",
        "equity_range": "0.50% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 97403,
        "title": "Software Engineer",
        "url": "https://www.ycombinator.com/companies/yn/jobs/vBQxHHP-software-engineer",
        "location": "San Francisco, CA, US / Remote (DE; GB; US; SE; FR; CH; AT)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $300K",
        "equity_range": "0.50% - 2.00%",
        "experience": "1+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 116903,
        "title": "Head of Growth",
        "url": "https://www.ycombinator.com/companies/yn/jobs/RiV3I8Z-head-of-growth",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$120K - $250K",
        "equity_range": "0.10% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "To Bring Socializing Back to Social Networks, Apps Try A.I. Imagery - The New York Times",
        "url": "https://www.nytimes.com/2023/09/27/technology/ai-images-social-media-sharing.html",
        "date": "Sep 27, 2023"
      }
    ],
    "launches": []
  },
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    "id": 28589,
    "name": "HockeyStack",
    "slug": "hockeystack",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/90725285723955c6a718c11c6de42fac109093c5.png",
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        "location": "Paris, France",
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        "location": "Paris, France",
        "type": "Full-time",
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        "id": 117451,
        "title": "Chauffeur super poids lourd (SPL) Dirigeable (H/F)",
        "url": "https://www.ycombinator.com/companies/hylight/jobs/6aZ4Bst-chauffeur-super-poids-lourd-spl-dirigeable-h-f",
        "location": "Paris, France",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 117452,
        "title": "Télépilote drone et chargé de réglementation",
        "url": "https://www.ycombinator.com/companies/hylight/jobs/EFu32H7-telepilote-drone-et-charge-de-reglementation",
        "location": "Paris, France",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 117453,
        "title": "Chief of Staff Associate Intern",
        "url": "https://www.ycombinator.com/companies/hylight/jobs/QQPRLmY-chief-of-staff-associate-intern",
        "location": "Paris, France",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "French startup HyLight raises €13 million to build autonomous airships",
        "url": "https://www.aerotime.aero/articles/french-startup-hylight-raises-e13-million-to-build-autonomous-airships",
        "date": "Oct 12, 2026"
      },
      {
        "title": "HyLight raises $4M for hydrogen-powered airship drones - Tech.eu",
        "url": "https://tech.eu/2024/04/15/hylight-raises-4m-for-hydrogen-powered-airship-drones/",
        "date": "Apr 15, 2024"
      }
    ],
    "launches": [
      {
        "id": 72609,
        "title": "HyLight 🎈 Hydrogen airships for long range monitoring",
        "tagline": "We help utility companies inspect their infrastructure in a sustainable & cost-effective way.",
        "body": "Hello everyone, we are [HyLight](https://www.hylight.aero/). We build small unmanned hydrogen airships to automatically gather massive amounts of precise data in a sustainable and cost-effective way.\n\n🚫 **The problem :**\n\nWe currently focus on:\n\n* 💨 Pipeline inspection to detect methane leaks (4% of global greenhouse gas emissions).\n* ⚡Power line inspection to prevent outages, reduce wildfire risks ($19 billion per year in the US), and ensure grid reliability.\n\nCurrent solutions (helicopters, airplanes, satellites and drones) are not adapted to make accurate, efficient and sustainable observations.\n\n✅ **Our solution** :\\\nOur solution is a crossover between drone and lighter than air technologies, using hydrogen as a lifting gas and power source.\n\n![uploaded image](/media/?type=post&id=72609&key=user_uploads/935793/71bfe7a3-7276-4501-a63f-19311f24fcb5)\n\nThis vehicle combines long range, high payload, and hovering capabilities\n\nWe have already built four prototypes, [two minimum viable products (MVPs)](https://youtu.be/MQLInmqLF7M), and are running a paid pilot with the largest power line company in Europe.\n\n🙏 **Our ask: How you can help**\n\n* **🤝 Refer:** If you know anyone that works in Oil&Gas or utilities please connect us ([thomas@hylight.aero](mailto:thoma@hylight.aero)).\n* **📣 Share:** Share this post with your network.\n* **🔔 Follow:** Follow us on [LinkedIn](https://www.linkedin.com/company/hylightaero).\n\nWe are building the perfect airborne platform to better observe, understand, and improve our world.\n\nJoin us for the flight!\n\n![uploaded image](/media/?type=post&id=72609&key=user_uploads/935793/56584ff9-a2da-41ab-985b-3a830e9f5f67)\n\n",
        "url": "https://www.ycombinator.com/launches/It7-hylight-hydrogen-airships-for-long-range-monitoring",
        "votes": 696,
        "created_at": "2023-06-28T14:55:01.605Z"
      }
    ]
  },
  {
    "id": 28650,
    "name": "Artie",
    "slug": "artie",
    "former_names": [
      "Artie Technologies"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/973d2f0c6c4d07505113e974a08d18864eb95d54.png",
    "website": "https://www.artie.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Artie is software that streams data from databases to data warehouses in real-time. Today, most companies run their ETL process every few hours or overnight, so their data warehouse is always out of date; with Artie, the warehouse always has live production data.",
    "one_liner": "Software that streams data from databases to warehouses in real-time",
    "team_size": 20,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1684375922,
    "tags": [
      "Developer Tools",
      "SaaS",
      "Data Engineering",
      "Enterprise Software"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
      "B2B",
      "Infrastructure"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Growth",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/artie",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/artie.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/artie-technologies/",
    "x_url": "https://x.com/artie_labs",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/artie-a438",
    "github_url": "https://github.com/artie-labs/transfer",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/973d2f0c6c4d07505113e974a08d18864eb95d54.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
    },
    "founders": [
      {
        "user_id": 1276059,
        "full_name": "Jacqueline Cheong",
        "title": "Founder",
        "founder_bio": "Co-founder and CEO at Artie. Building the real-time data streaming platform for AI. \n\nWe give companies the kind of streaming pipelines and deep observability that Netflix, DoorDash, and Instacart built in-house - without hiring 10+ engineers and spending 1-2 years on platform work. Artie automates the entire data ingestion lifecycle, from capturing changes to merges, backfills, and observability, and scales to billions of change events per day. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jacqueline-cheong/",
        "x_url": "https://x.com/JacquelineSYC19",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9ffed376cfde87489929309878adbde531752727.jpg"
      },
      {
        "user_id": 674147,
        "full_name": "Robin Tang",
        "title": "Founder",
        "founder_bio": "CTO @ Artie. Software engineer with a background in distributed systems.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/tang8330/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7cdcac4bb146b8aabcbb1bc6751fee1c6c37d9b5.jpg"
      }
    ],
    "jobs": [
      {
        "id": 85441,
        "title": "Enterprise Account Executive",
        "url": "https://www.ycombinator.com/companies/artie/jobs/HyaHWUs-enterprise-account-executive",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$240K - $320K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 94613,
        "title": "Solutions Engineer",
        "url": "https://www.ycombinator.com/companies/artie/jobs/APdtYeH-solutions-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$175K - $200K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": [
          "SQL Server",
          "Oracle",
          "Data Warehousing",
          "Kafka"
        ]
      },
      {
        "id": 99179,
        "title": "Product Engineer",
        "url": "https://www.ycombinator.com/companies/artie/jobs/A5udo6A-product-engineer",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $250K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 99181,
        "title": "Senior Software Engineer ",
        "url": "https://www.ycombinator.com/companies/artie/jobs/7KTFRRy-senior-software-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$150K - $250K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 100518,
        "title": "Senior Business Development Representative - Enterprise ",
        "url": "https://www.ycombinator.com/companies/artie/jobs/vv6SEu9-senior-business-development-representative-enterprise",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$115K - $150K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "Artie: Real Time Data Streaming For The AI Age",
        "url": "https://www.youtube.com/watch?v=M57MeOY-n3g",
        "date": "Jan 26, 2026"
      },
      {
        "title": "Artie helps companies put data to work faster with real time syncing | TechCrunch",
        "url": "https://techcrunch.com/2024/02/14/artie-helps-companies-put-data-to-work-faster-with-real-time-syncing/",
        "date": "Feb 14, 2024"
      }
    ],
    "launches": [
      {
        "id": 111491,
        "title": "Artie Free Plan: real-time data replication for $0/mo",
        "tagline": "Stream data to your warehouse or another database, free forever – up to 1M rows a month.",
        "body": "### TL;DR\n\nArtie streams production data into your warehouse or another database in real time, so your downstream systems and workflows never run on stale data.\n\nWe launched Artie’s Free plan so startups and solo builders can get real-time database replication without a card, sales call, or CDC infrastructure project.\n\n[Check out our launch video:](https://www.youtube.com/watch?v=jXPNzOyPVH0)\n\n### The problem\n\nA solo developer wiring Supabase or Postgres into a warehouse doesn’t want to take on a CDC project. A startup’s first data hire needs fresher data for a product workflow, payments, or support, but doesn’t have a data platform team to build it. A larger company wants to test a narrow use case before pulling in procurement and security.\n\nAll three have the same initial question: will this work with our database, our destination, and our data? Answering that should take less than an afternoon, without needing to put down a credit card or join a sales call.\n\nFor Keep, a fintech startup, setting up a connector on Artie took around 10 minutes. Their team wanted Postgres and MongoDB data in Snowflake, but didn’t want to spend months building and maintaining pipelines. Their CTO’s reason for that was straightforward: he wanted the team differentiating on product, not babysitting data infrastructure. [Read Keep’s story](https://www.artie.com/customer-stories/keep-enables-real-time-data-stack-and-audit-logs?utm_source=ycombinator&utm_medium=organic&utm_campaign=free_plan).\n\n### Why now\n\nStartups are building products and operating workflows around production data with smaller teams than ever. They want that data in their warehouse (or another database) in real time, but need a way to test a real workload without building and running Kafka, Debezium, connectors, and monitoring.\n\n### What's included\n\nArtie Free includes:\n\n* Two active pipelines\n* 1 million billable rows per month\n* Backfills, not counted toward the monthly row limit\n* Sources: Postgres, MySQL, MongoDB, DynamoDB, CockroachDB, DocumentDB, Amazon Keyspaces, and PlanetScale\n* Destinations: Snowflake, BigQuery, Redshift, Databricks, MotherDuck, Postgres, S3, GCS, and ClickHouse\n\n[See the full plan details](https://www.artie.com/pricing?utm_source=ycombinator&utm_medium=organic&utm_campaign=free_plan).\n\n### Artie’s MCP Server\n\nArtie also has [an MCP server,](http://mcp.artie.com/?utm_source=ycombinator&utm_medium=organic&utm_campaign=free_plan) so you can manage pipelines from Claude or Codex instead of switching to the dashboard. You can list and create pipelines, inspect schema changes, manage backfills and connectors, and search the Artie data catalog, all from a conversation.\n\nThe MCP server is now a [ChatGPT Plugin](https://chatgpt.com/plugins/plugin_asdk_app_6a62a153d4088191a5e551ec94e025da?q=artie) and listed in [Claude's connector directory](https://claude.ai/directory/artie). You can also use another MCP-compatible client, such as Cursor, by pointing it at `https://mcp.artie.com/mcp` with an API key from your Artie dashboard. [Full setup docs here](https://www.artie.com/docs/api/mcp?utm_source=ycombinator&utm_medium=organic&utm_campaign=free_plan).\n\n### Our ask\n\nIf you are a founder, solo developer, or first data hire, [try Artie’s Free plan](https://app.artie.com/signup?utm_source=ycombinator&utm_medium=organic&utm_campaign=free_plan) with one real workload. Tell us what gets in the way: permissions, configuration, schemas, or getting the first row through.",
        "url": "https://www.ycombinator.com/launches/T0F-artie-free-plan-real-time-data-replication-for-0-mo",
        "votes": 33,
        "created_at": "2026-08-20T16:50:12.222Z"
      },
      {
        "id": 102815,
        "title": "Artie - Real-time data replication to your data warehouse",
        "tagline": "Give your AI agents fresh data they can actually act on",
        "body": "**TL;DR:** Artie is a fully managed, real-time data replication tool that streams every row-level change from your production database to your warehouse in under 60 seconds. You can now sign up and start replicating today, no call required. Most teams run their first sync in under an hour.\n\n<https://www.youtube.com/watch?v=BYgz9NaIBLg>\n\n**The Problem**\n\nGetting data from your production database to your warehouse in real time has always meant picking your poison.\n\nYou build it yourself: Kafka, Debezium, custom merge logic, months of engineering, and years of maintenance as schemas evolve and the engineers who built it move on.\n\nYou use an existing CDC tool: usually something inherited, unreliable at scale, and not built for the warehouse destinations you're actually running.\n\nOr you accept stale data: dashboards refreshing every 3-24 hours, AI pipelines reasoning over yesterday's snapshot, analytics teams filing 9 am tickets asking why the numbers don't add up.\n\nMost teams are somewhere on this spectrum – either maintaining a pipeline they didn't want to build, or working around data they can't trust. That was a manageable problem when stale dashboards just annoyed your analytics team, but it becomes a bigger beast when AI agents are making pricing decisions, routing support tickets, and scoring risk off the same lagged data.\n\nA warehouse that's 12 hours behind isn't a minor inconvenience anymore – it's a liability.\n\n**The Solution**\n\nSee it work: <https://www.youtube.com/watch?v=xp0Yp77_Z9w>\n\nArtie handles the entire replication layer so you don't have to. No self-built Kafka stack to maintain, no unreliable CDC tool to babysit, no stale data to apologize for. Connect your source, choose your destination, and your warehouse stays in sync with production continuously.\n\nAI agents are only as good as the data they act on. If your warehouse is hours behind, your agents are too. Artie gives your AI layer what it actually needs: a warehouse that reflects production in real time, without engineering overhead.\n\n**How It Works**\n\nArtie uses change data capture (CDC) to read directly from your database's replication logs – capturing every insert, update, and delete as it happens. Those changes stream continuously to your warehouse, landing in under 60 seconds. There's no bulk export, no scheduled job, no polling. Just a live, accurate reflection of your production data.\n\nUnder the hood, Artie handles the operational complexity: schema changes propagate automatically, delivery is exactly-once even through failures, and your destination tables stay in sync without any pipeline code on your end. The things that take most teams a year or two to get right are already solved.\n\n**Sources:** PostgreSQL, Amazon Aurora/RDS, GCP CloudSQL, Supabase, MySQL, Microsoft SQL Server, MongoDB, DocumentDB, DynamoDB, Oracle, CockroachDB, Amazon Keyspaces (Cassandra), and an Events API\n\n**Destinations:** Snowflake, BigQuery, Redshift, Databricks, ClickHouse, PostgreSQL, MySQL, Microsoft SQL Server, MotherDuck, S3, GCS, Iceberg REST Catalog, and Amazon S3 Tables\n\n**The Team**\n\nRobin (co-founder and CTO) has been building large-scale data pipelines his entire career – from processing 14 billion daily events at [Outbound.io](http://Outbound.io), to filing patents on event streaming at Zendesk, to running data infrastructure at Opendoor. He started Artie because he kept hitting the same ceiling: pipelines that worked until they didn't, and teams spending years maintaining infrastructure that should have been solved.\n\nBefore co-founding Artie, I covered enterprise software at Bank of America and Balyasny Asset Management and kept running into the same gap: companies burning engineering cycles on data pipelines that shouldn't require a team to maintain. We've been building Artie together for three years, went through YC S23, and closed a $12M Series A led by Dalton Caldwell at Standard Capital.\n\n**Our Ask**\n\nIf you're a data engineer or engineering manager tired of stale warehouse data, [try it yourself](https://go.artie.com/launch) today. See real-time replication running in your own environment – not a demo, not a sandbox, but against your actual data.\n\nIf you need private networking, dedicated infrastructure, or compliance support, [book a demo](https://go.artie.com/2822ee) and we'll walk you through what an enterprise setup looks like.\n\n[Try Artie today](https://go.artie.com/launch)",
        "url": "https://www.ycombinator.com/launches/QkJ-artie-real-time-data-replication-to-your-data-warehouse",
        "votes": 43,
        "created_at": "2026-06-09T17:12:18.002Z"
      },
      {
        "id": 88730,
        "title": "🐘 Artie for Enterprise - Data Replication at Petabyte Scale",
        "tagline": "High-volume, low-latency data replication that scales effortlessly",
        "body": "# TL;DR\n\n[Artie](https://www.artie.com/?utm_campaign=launch-week-q125&utm_source=yc-launch) streams data from databases to data warehouses in real-time and more reliably than traditional ETL solutions. Many companies are still running their ETL process every few hours, so their data warehouse is constantly out of date; with Artie, the data warehouse always has live production data.\n\nArtie was founded to solve an enterprise data movement problem. Today, we’re launching Artie for Enterprise, for teams requiring high-volume, low-latency data replication that scales effortlessly. Whether dealing with massive volumes, strict security requirements, or mission-critical workloads, Artie ensures data is always live, accurate, and easy to manage. 🚀\n\n![uploaded image](/media/?type=post&id=88730&key=user_uploads/89898/675b1398-6b54-40a0-888f-a3f4f487ffc3)\n\n# Problem\n\nEnterprises need real-time, reliable, and secure data replication—but existing solutions make this far more painful than it should be.\n\nTraditional ETL pipelines often run on fixed schedules, updating data warehouses hours behind reality and leaving teams with outdated insights. Many replication tools try to brute-force data movement by running expensive, inefficient queries that **increase load on production databases**, slowing down applications and, in extreme cases, even **bringing them down entirely**. Scaling these systems across thousands of tables typically requires **manual, error-prone configurations**, forcing teams to spend countless hours debugging pipelines just to keep data flowing.\n\nOn top of that, many enterprises operate in highly regulated environments where data can’t be fully offloaded to the cloud. Traditional replication solutions struggle to support hybrid deployments, forcing teams to choose between security and ease-of-use.\n\n# Artie for Enterprise provides reliable, secure, and high-volume data replication\n\n### Terraform support\n\n_“Um, we have thousands of tables to configure. Do I really need to click thousands of times on your dashboard to get connectors set up?”_ We hear this question a lot and our answer is “**Absolutely not”**, which is where our Terraform provider comes in. \n\nJust because your data volume is high does not mean management needs to be equally complex. No more endless clicks—just code it, deploy it, and go.\n\n![uploaded image](/media/?type=post&id=88730&key=user_uploads/1276059/ed2daad8-2763-4dfc-aaad-ea336ba4daf0)\n\n### Multi-step merge\n\nMerging large, frequently updated tables can be expensive and slow. We wanted to solve this problem without forcing customers to increase compute costs or scale up their virtual data warehouses.\n\nWith multi-step merge, Artie now loads data into a staging table in multiple bursts, allowing updates to accumulate before merging into the target table. This reduces latency and improves efficiency. Customers can now control how often data lands in the staging table before triggering a final merge—giving them real-time syncs with more flexibility and cost savings.\n\n![uploaded image](/media/?type=post&id=88730&key=user_uploads/1276059/0dcc6696-60c9-4ab8-a301-9764abbb5756)\n\n### Hybrid deployment\n\nEnterprise-grade replication means deployment flexibility is non-negotiable. There are many organizations out there that handle data containing sensitive information and are required to operate under strict regulations.\n\nOur hybrid deployment model ensures the security of on-premise data processing with the ease of use of cloud services. What’s more? Artie’s fully-managed service allows for zero-maintenance, and removes the need to install and manage client-side agents.\n\n![uploaded image](/media/?type=post&id=88730&key=user_uploads/1276059/5464e25f-5c07-4bbc-8926-ea10fc6c48e1)\n\n### MySQL Connector upgrade\n\nWe’ve made major improvements to our MySQL connector, making it enterprise-grade with improved performance, efficiency, and automation. These updates streamline database operations, reduce disk usage and I/O load, and automates data synchronization without complex configuration requirements and management overhead. \n\nKey improvements include full DDL and gh-ost migration support for seamless, non-disruptive schema changes, automatic fan-in for partitioned tables, and GTID support for reliable transaction replication.\n\n### PostgreSQL CTID scanning\n\nBackfills can be disruptive and resource-intensive. That’s why Artie is built to seamlessly recover from errors and avoid backfills unless absolutely necessary. \n\nHowever, in the event that backfills are required, how do we minimize disruption? Enter PostgreSQL CTID; an alternative backfill method that is **10-20x faster** than traditional methods.\n\n### Datadog integration\n\nAt Artie, we’ve always been big on observability. What good are your data pipelines if nobody has visibility into them? We prioritize accurately monitoring your pipeline performance and making sure you know what’s up. \n\nWith our Datadog integration, you can now track all Artie-exposed metrics directly from your Datadog dashboard. This allows you to **proactively monitor pipeline performance, set up custom alerts**, and build dashboards for deeper insights.\n\nStay on top of your data pipeline health—effortlessly.\n\n![uploaded image](/media/?type=post&id=88730&key=user_uploads/1276059/38889e0e-30ca-495f-b777-4af640e9aa3b)\n\n# Curious to learn more?\n\nFollow our journey on [LinkedIn](https://www.linkedin.com/company/artie-technologies), [X](https://x.com/artie_tech) and reach out to us [here](https://www.artie.com/contact?utm_campaign=launch-week-q125&utm_source=yc-launch) to see how you can benefit from enterprise-grade replication!",
        "url": "https://www.ycombinator.com/launches/N58-artie-for-enterprise-data-replication-at-petabyte-scale",
        "votes": 17,
        "created_at": "2025-03-18T14:06:08.364Z"
      },
      {
        "id": 76461,
        "title": "Artie’s Analytics Portal - Real-time data pipeline observability",
        "tagline": "Real-time observability into database pipelines and peripheral infrastructure",
        "body": "# TL;DR\n\n[Artie](http://www.artie.so) is a real-time database replication solution. We leverage change data capture (CDC) and stream processing to perform data syncs in a more efficient way, which enables sub-minute latency and helps optimize compute costs. Today, we’re launching our Analytics Portal to provide visibility into our streaming pipelines and offer production-level monitoring for related system infrastructure out-of-the-box.\n\nWith the Analytics Portal, we hope to help alleviate some of the challenges that data teams face when running their data stack. By offering real-time observability into database pipelines and peripheral infrastructure, we hope companies can increase their understanding of how systems impact one another, reduce downtime/debug issues faster, and generate proactive alerts to maintain robust infrastructure. \n\n# **Visibility related to database replication is lacking**\n\nThe core of database replication is transferring data in a timely, accurate, and reliable manner. This is table stakes. In addition, there is a lot more happening in the peripheral, such as database monitoring, data pipeline visibility, data latency monitoring, and others. Data engineers need visibility to answer questions like: \n\n* How many rows have been synced in the past hour? How does that compare to the average/median/last month? \n* What is the data latency for our organization’s three most important tables? What are the factors that impact data latency and how are those metrics trending? \n* How are my systems performing?\n  * Are there any database permission errors that may cause my data pipeline to go down? \n  * Are my databases sized correctly? How is CPU, memory, and storage utilization? \n  * Is my replication slot growing? By how much?\n\n \n\nSetting up these metrics and monitors is important to help with debugging and maintaining a robust database replication solution. However, this requires expertise and domain knowledge that may not be accessible at every company. There is also no standardization of which metrics to track and what benchmarks to follow. To make matters worse, when it comes to adopting cloud solutions, database/pipeline visibility is severely limited. When pipelines break down, customers are often left in the dark, not knowing what broke, why it broke, and how to fix it. \n\n# **Artie’s Analytics Portal unlocks visibility & reduces MTTD**\n\nWe are extremely excited to announce our Analytics Portal to increase the visibility and observability of our streaming pipelines. This will provide insights into system-level infrastructure and help with monitoring database and pipeline health. When identifying and resolving issues, one of the most important metrics is to reduce MTTD (mean time to detection). With Artie’s streaming pipelines and periodic jobs like [Postgres Watcher](https://docs.artie.so/real-time-sources/postgresql#postgresql-watcher), metrics are being sent to our Analytics Portal in flight, as the underlying data is still being processed. \n\n![uploaded image](/media/?type=post&id=76461&key=user_uploads/1276059/f4fe85ba-5ced-4892-9653-ed030638826d)\n\nWith the first iteration of our Analytics Portal, we are providing industry-standard telemetry to streaming pipelines and related infrastructure. Data teams will be able to observe the following: \n\n* Data ingestion latency by table and database/deployment\n* Operation distribution by table and database/deployment\n* Rows synced by table and database/deployment\n* Database monitors that are related to and can impact pipeline performance: \n  * Permission errors that may interfere with data replication\n  * Replication slot size\n  * Free disk space\\*\n  * CPU utilization\\*\n  * Memory and Disk I/O (input/output)\\*\n  * Average transaction time\\*\n  * Existence of long-running queries\\*\n\n\\*coming soon\n\n# Production level monitoring out-of-the-box\n\nThe Analytics Portal initially comes with a set of pre-built charts and monitors. Customers are able to drill down to get deployment, database, and table-level statistics.\n\n![uploaded image](/media/?type=post&id=76461&key=user_uploads/1276059/bcbbd68a-9808-48c5-92e5-1f61b53f9d86)\n\n![uploaded image](/media/?type=post&id=76461&key=user_uploads/1276059/b5ec3d58-4f94-4af0-89d3-14ab920b2003)\n\nThe pre-built monitors that we are launching with include alerts for database permission errors and replication slot growth (for Postgres users). Over time, we will add alerting for the other monitors we mentioned above and more. This enables customers to have production-level monitoring set up out-of-the-box for their business-critical data. \n\nFor example, an e-commerce company might be watching its `online transactions` table closely during the holidays. Let’s say they observe data ingestion latency going up for `online transactions`. They zoom out and realize it’s not just the `online transactions` table that is experiencing higher latency, but all tables under their Postgres connector are impacted and very few rows have been synced in the past 5 minutes. To troubleshoot this, they look over to the database monitors and realize their database’s replication slot has been growing and the culprit is a long-running query that has locked the table and is preventing Postgres from advancing the replication slot. After a quick Slack message to their internal DevOps team, the query is killed and the issue is resolved. \n\n# Making the Analytics Portal more actionable & customizable over time\n\nOver time, we will make the data more actionable and customizable. In the near future, we plan to enable row-based monitoring such that customers can monitor custom business logic. In addition to the pre-built charts and monitors that we provide out-of-the-box, we want to allow customers to create custom charts and configure views based on metrics that matter to their business. \n\nFor example, say you are working at a Fintech company that wants to monitor live transactions to detect fraud and abuse on your platform. You have a `transactions` table and this table is being synced to your Snowflake instance. You should be able to generate a chart to plot the average, median, p95, and max transaction sizes across various lookback periods (30 minutes, 1 hour, 24 hours, 7 days, etc). Then you can set up business logic monitors such as:\n\n* Flag transactions that are 1.5 standard deviations above average coming from a merchant who signed up on the platform less than one week ago\n* Flag key accounts where transaction volume has increased above or fallen below a certain threshold in the past hour\n\n![uploaded image](/media/?type=post&id=76461&key=user_uploads/1276059/1a22097c-f925-43c4-9fac-c5bf5035b55d)\n\nDepending on how you’d like to be notified, Artie plans to support the following escalation channels:\n\n* Email\n* Slack\n* Webhooks\n\nIn this example, the escalation channel is a webhook to your API server so you can then run a more rigorous machine-learning fraud model against a particular merchant account or transaction.\n\n# **Contact us at **[**hi@artie.so**](http://www.artie.so)** to learn more!**",
        "url": "https://www.ycombinator.com/launches/JtF-artie-s-analytics-portal-real-time-data-pipeline-observability",
        "votes": 24,
        "created_at": "2023-11-27T17:42:21.200Z"
      },
      {
        "id": 72536,
        "title": "Artie - real-time data streaming for databases ⚡",
        "tagline": "We transfer data from databases to data warehouses in real-time with CDC streaming",
        "body": "# _TL;DR_\n\n_Artie is an open-source, streaming version of Fivetran - we transfer data from databases to data warehouses in real-time. Setting up a connector takes minutes and Artie leverages change data capture (CDC) to help companies reduce their data warehouse costs by 50%! We enable organizations to unlock real-time insights for better decision making. _[_Star us on GitHub_](https://github.com/artie-labs/transfer)_!_\n\n![uploaded image](/media/?type=post&id=72536&key=user_uploads/1276059/60958f68-f519-4d78-bb98-c2c33974cb39)\n\nHi everyone, we are Jacqueline and Robin and we’re the team behind [Artie](https://www.artie.so/?utm_source=YC&utm_medium=newsletter&utm_campaign=launchYC&utm_id=launchYC). We’re on a mission to eliminate data latency and make it easy for every company to enable real-time data streaming!\n\nData is typically synced from production databases to the data warehouse once every X hour(s)/day(s) - this is a constraint that companies have lived with for decades. Robin personally felt the pain of not having access to production data in real-time and there were no easy to use out-of-the-box solutions, so we decided to build one! \n\n# **❌ The Problem**\n\nDoes your company sync data to the data warehouse every 6 hours, or worse, once a day? Are your analytics always lagged and filled with stale insights? **Why settle for a data platform that’s barely good enough when you can have real time data AND reduce your data warehouse costs?!** Not to mention you can have Artie set up in minutes!\n\nTraditional ETLs are based on **batched processes** that operate on a cron schedule (DAGs, Airflow) and **cannot achieve real-time data syncs**.\n\nBuilding and managing streaming data pipelines is hard. Most companies have a small team of data engineers and they often spend all day maintaining their data pipelines, which is not productive.\n\nFactors companies should consider if they want to self-manage pipelines:\n\n* Can the solution scale to multiple different data sources?\n  * How easy is it to add new data sources?\n  * How easy is it to manage across all the data sources?\n* Can the solution scale to handle 1m+ queries per second?\n  * Is the solution horizontally scalable?\n  * Do workers require coordination? Or are they stateless and distributed?\n* How do you ensure there are no out of order or missing events (even when the system crashes)?\n* Can the solution handle schema evolution without creating breaking changes downstream?\n\n# **🎉 Solution**\n\nArtie leverages change data capture (CDC) and stream processing to achieve **sub-minute data latency (\\~typically 10-20 seconds)**. Since we **only transfer changed data**, Artie is more efficient than traditional ETLs and can help you **cut down on your data warehouse cost by 50%!**\n\nSetting up a connector requires no programming. Just follow the setup guide and deploy in minutes! After the initial snapshot, any changes in your database will be reflected in your data warehouse in real-time.\n\n![uploaded image](/media/?type=post&id=72536&key=user_uploads/1276059/879c552d-7c8a-402e-9378-56f55380308a)\n\n# **🎯 Who Needs Artie?**\n\n**Engineers** that are exhausted stitching together Airflow + AWS Glue + Apache Spark + AWS Kinesis/Kafka + Apache Flink 😵‍💫\n\n**Companies that are using traditional ETLs or batched processes**. Once you enable real-time, there is no going back (your data engineers/BI analysts won’t let you)! Think of all the previously unattainable use cases that you can now implement without data latency.\n\n**Companies that have a cost cutting initiative.** Adopt Artie’s CDC streaming capabilities to reduce your data warehouse costs!\n\n# **🙏 Ask**\n\nEmail [hi@artie.so](mailto:hi@artie.so) or sign up [here](https://artie.so/contact?utm_source=YC&utm_medium=newsletter&utm_campaign=launchYC&utm_id=launchYC) to try Artie today! \n\nWant to use open source? Install Artie at <https://github.com/artie-labs/transfer> (give us a ⭐!) and ping us on [Slack](http://artie.so/slack?utm_source=YC&utm_medium=newsletter&utm_campaign=launchYC&utm_id=launchYC), we’re happy to help you get started.",
        "url": "https://www.ycombinator.com/launches/Irw-artie-real-time-data-streaming-for-databases",
        "votes": 108,
        "created_at": "2023-06-26T15:13:53.399Z"
      }
    ]
  },
  {
    "id": 28663,
    "name": "kapa.ai",
    "slug": "kapa-ai",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/274c05ef6658ba8b2d341c95ee4d90f16444919c.png",
    "website": "https://www.kapa.ai",
    "all_locations": "Remote",
    "long_description": "kapa.ai makes it easy for technical companies to build AI support and onboarding bots for their users. Teams at +150 leading startups and enterprises incl. OpenAI, Mixpanel, Mapbox, Docker, Next.js and Prisma use kapa to level up their developer experience and reduce support.\r\n\r\nWe enable companies to use their existing technical knowledge sources incl. docs, tutorials, chat logs, and GitHub issues to generate AI bots that answers developer questions automatically. More than 750k developers have access to kapa.ai via website widgets, Slack/Discord bots, API integrations, or via Zendesk.",
    "one_liner": "The fastest way to build AI assistants on technical content",
    "team_size": 22,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1689019081,
    "tags": [
      "Generative AI",
      "AI",
      "Conversational AI",
      "AI Assistant"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
      "B2B",
      "Productivity"
    ],
    "regions": [
      "Remote",
      "Fully Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/kapa-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/kapa-ai.json",
    "year_founded": 2023,
    "city": null,
    "country": null,
    "linkedin_url": "https://www.linkedin.com/company/kapa-ai/",
    "x_url": "https://twitter.com/kapa_ai",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/274c05ef6658ba8b2d341c95ee4d90f16444919c.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
    },
    "founders": [
      {
        "user_id": 377661,
        "full_name": "Emil Soerensen",
        "title": "Founder",
        "founder_bio": "Emil is the co-founder and CEO of kapa.ai (S23). Previously worked as an Engagement Manager at McKinsey & Company. Holds an MSc in Computer Science from Imperial College London and an MSc in Finance from London School of Economics (both with Finn!). 👋",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/sorensenemil",
        "x_url": "https://twitter.com/emilsnotes",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6e147cef5274414bce9905c3d91fa9935b8bfb9e.jpg"
      },
      {
        "user_id": 1316966,
        "full_name": "Finn Bauer",
        "title": "Founder",
        "founder_bio": "Finn is the co-founder and CTO of kapa.ai (S23). Previously worked as a software engineer at Bloomberg. Holds an MSc in Computer Science from Imperial College London and an MSc in Finance from the London School of Economics (both with Emil!).",
        "is_active": true,
        "linkedin_url": "https://de.linkedin.com/in/finn-bauer-533bb0130",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/06dfb46eb6d6cd86292373df38f8a020a01716df.jpg"
      }
    ],
    "jobs": [
      {
        "id": 76640,
        "title": "Software Engineer (Full-stack)",
        "url": "https://www.ycombinator.com/companies/kapa-ai/jobs/JPE2ofG-software-engineer-full-stack",
        "location": "GB / EG / RU / UA / TR / FR / IT / ES / PL / RO / KZ / NL / BE / SE / CZ / GR / PT / HU / AT / CH / BG / DK / FI / NO / SK / LT / EE / DE / Remote (GB; EG; RU; UA; TR; FR; IT; ES; PL; RO; KZ; NL; BE; SE; CZ; GR; PT; HU; AT; CH; BG; DK; FI; NO; SK; LT; EE; DE)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$100K - $150K",
        "equity_range": "0.10% - 0.30%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": [
          "Python",
          "React"
        ]
      },
      {
        "id": 76641,
        "title": "Research Engineer, Applied AI",
        "url": "https://www.ycombinator.com/companies/kapa-ai/jobs/huRVu7n-research-engineer-applied-ai",
        "location": "GB / DE / FR / NO / DK / SE / FI / PT / ES / BE / NL / IT / CH / AT / CZ / PL / EE / LV / LT / SK / HU / SI / HR / RU / UA / Remote (GB; DE; FR; NO; DK; SE; FI; PT; ES; BE; NL; IT; CH; AT; CZ; PL; EE; LV; LT; SK; HU; SI; HR; RU; UA)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$100K - $170K",
        "equity_range": "0.10% - 0.20%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 84623,
        "title": "Marketing Lead",
        "url": "https://www.ycombinator.com/companies/kapa-ai/jobs/TZzJDh1-marketing-lead",
        "location": "DK",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$70K - $110K",
        "equity_range": "0.03% - 0.10%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": [
          "Data Analytics"
        ]
      },
      {
        "id": 88827,
        "title": "Business Development Representative (US)",
        "url": "https://www.ycombinator.com/companies/kapa-ai/jobs/aCsYP7G-business-development-representative-us",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$70K - $110K",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 90015,
        "title": "Senior Business Development Representative (US)",
        "url": "https://www.ycombinator.com/companies/kapa-ai/jobs/db5rGnR-senior-business-development-representative-us",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$80K - $120K",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 92252,
        "title": "Account Executive (US)",
        "url": "https://www.ycombinator.com/companies/kapa-ai/jobs/NxbHVIS-account-executive-us",
        "location": "New York, NY, US / Remote (US)",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$150K - $300K",
        "equity_range": "0.01% - 0.05%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 92254,
        "title": "Account Executive (Europe)",
        "url": "https://www.ycombinator.com/companies/kapa-ai/jobs/O7WYqau-account-executive-europe",
        "location": "DK / Remote",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$120K - $200K",
        "equity_range": "0.01% - 0.05%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 93115,
        "title": "GTM Associate (US)",
        "url": "https://www.ycombinator.com/companies/kapa-ai/jobs/HqFQ5xA-gtm-associate-us",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$70K - $120K",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 93116,
        "title": "Commercial Associate",
        "url": "https://www.ycombinator.com/companies/kapa-ai/jobs/HRn1sN0-commercial-associate",
        "location": "DK",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$60K - $100K",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "kapa.ai Secures $3.2M to Advance Technical AI Assistants - kapa.ai - Instant AI answers to technical questions",
        "url": "https://www.kapa.ai/blog/kapa-ai-secures-3-2m-to-advance-technical-ai-assistants",
        "date": "Oct 03, 2024"
      }
    ],
    "launches": [
      {
        "id": 72954,
        "title": "kapa.ai: ChatGPT for developer-facing products",
        "tagline": "We help companies improve developer experience and reduce technical support",
        "body": "**TL;DR:** We make it easy for developer-facing companies to **build AI support bots** for their community. Teams at **OpenAI, Airbyte** and **NextJS** use [kapa.ai](http://kapa.ai) to help onboard new users and reduce support.\n\nWe’re Finn and Emil, the co-founders of [kapa.ai](http://kapa.ai). 👋\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n![uploaded image](/media/?type=post&id=72954&key=user_uploads/377661/b1c2d0fe-221f-4319-8689-e8d1bef81e5f)\n\n### **The challenge:** Software has a discovery problem\n\n* **For users:** Have you ever struggled to find what you were looking for on a docs site? We have. And so have the [30 million](https://www.statista.com/statistics/627312/worldwide-developer-population/) other developers in the world.\n* **For maintainers**: Have you ever been pulled out of your work to respond to a customer question that could have been answered by your docs? We have. And so have engineers at the [\\+15,000](https://www.linkedin.com/) developer-facing companies in the world.\n\nThe idea to build [kapa.ai](http://kapa.ai) initially came from a friend that runs a developer-facing company complain about the amount of **“read the f’ing manual” questions** they get and how much of their **engineers’ time** that costs.\n\n### **How we’re solving it:** “ChatGPT” for your docs\n\nWe’ve built a full retrieval augmented generation stack that enables developer-facing companies to **ingest any technical sources into an LLM** and expose it to their community where they have questions.\n\nThe bread and butter of what we’ve been building is a super scalable and **state-of-the-art crawling infrastructure** to ensure high quality data is kept up to date and compatible with LLMs.\n\n![uploaded image](/media/?type=post&id=72954&key=user_uploads/377661/d137227b-004e-493e-bab0-699542312593)\n\nHere are a few examples of how companies are deploying [kapa.ai](http://kapa.ai):\n\n* [**Langchain:**](https://twitter.com/LangChainAI/status/1623752516705067008) **Discord** **bot** in community of 30k devs\n* [**Anyscale**](https://docs.ray.io/en/latest/): **Docs widget** on website of project with +25k stars\n* [**Netlify:**](https://twitter.com/Netlify/status/1651994857391681537) Custom built docs widget on top of **our API** available to their +1 million users\n\nIn addition to reducing support, we’re also helping companies **identify gaps in their documentation and products** by analyzing the answers of their [kapa.ai](http://kapa.ai) bot.\n\n### **Who’s building:** Emil and Finn 👋\n\n![uploaded image](/media/?type=post&id=72954&key=user_uploads/377661/d4aaa0f0-f347-494e-aae7-d4b5e537b114)\n\nWe met +6 years ago in London and ended up doing **two master’s degrees together**: (1) Finance at London School of Economics, and (2) Computer Science at Imperial College London.\n\nWhile building [kapa.ai](http://kapa.ai), Finn (CTO) leans towards doing most of the engineering, bringing his experience from building low-latency trading systems at Bloomberg, although he also did sales at Goldman Sachs and JPMorgan. Emil (CEO) handles most of the business, bringing his experience as an Engagement Manager at McKinsey & Company, but also ships, which he learnt while building applied AI systems at startups.\n\n### **The ask:** Want to reduce developer support?\n\nWe’d love to help your company deploy a [kapa.ai](http://kapa.ai) bot (takes less than 24hrs!). And we’re always looking to connect with folks at developer-facing companies if you’d be up for making an intro.\n\nReach us at [founders@kapa.ai](mailto:founders@kapa.ai) or [sign up for access here](https://www.kapa.ai/early-access) and mention “YC Launch” Thank you so much.",
        "url": "https://www.ycombinator.com/launches/Iyg-kapa-ai-chatgpt-for-developer-facing-products",
        "votes": 79,
        "created_at": "2023-07-11T19:05:10.691Z"
      }
    ]
  },
  {
    "id": 28707,
    "name": "Kino AI",
    "slug": "kino-ai",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a0a46950ff7350dee9729b6aa2da1c83cce56306.png",
    "website": "https://kino.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Kino is a web-native video editor where your footage, your team, and your AI agents work together — video editing never had its Figma moment, and it certainly never had its Cursor moment. We proved our platform on Hollywood's biggest shows, and soon it's free for everyone.",
    "one_liner": "Kino is an AI media manager and video editor for humans and agents.",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1689168813,
    "tags": [
      "Entertainment",
      "Video",
      "AI",
      "AI Assistant"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
      "B2B",
      "Productivity"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
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        "founder_bio": "Previously Head of Operations at OVO Energy, the largest renewable energy company ($2b revenue) in the UK.  Prior to that worked for four years at Rolls-Royce in the Head Office as an operations consultant.\n\nMBA from INSEAD",
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        "full_name": "Panos Stravopodis",
        "title": "Founder/CTO",
        "founder_bio": "Founder and CTO at Elyos. Software engineer by training with over 15 years of experience leading engineering teams across FinTech, MarTech, and Climate Tech. My prior roles include VP of Engineering at Bulb/Zoa, where I led a 150+ person engineering team delivering Smart Energy products across the UK. I've also held senior positions at Funding Circle, Bynder, and other high-growth companies.",
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        "id": 81350,
        "title": "Founding Software Engineer",
        "url": "https://www.ycombinator.com/companies/elyos-ai/jobs/hzgEESF-founding-software-engineer",
        "location": "London, England, GB",
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        "title": "Elyos AI",
        "url": "https://elyos.ai/blog/elyos-ai-raises-a-13m-series-a-to-build-ai-agents-trades",
        "date": "Feb 21, 2026"
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      {
        "id": 93408,
        "title": "Elyos AI 💥 AI Customer Service Reps, built for trades and field services 🛠️",
        "tagline": "Elyos AI is the first fully autonomous AI Customer Service Reps for trades and field services.",
        "body": "**Hey, we are Elyos AI. 👋**\n\n[**https://elyos.ai/**](https://elyos.ai/)\n\nWe’re building the first, fully autonomous AI Customer Service Reps, built specifically for trades and field services.\n\nWe are already working with leading trades and field services businesses across the world, taking thousands of calls daily with our fully autonomous AI Agents.\n\n**The Problem**\n\nOur founders have been working in the field services space for nearly a decade.  These last few years building Elyos AI have solidified the realisation: **the field services industry is still operating on archaic tech.**\n\nIn field services like installations, gas, plumbing and electrical, the business should be judged on how well they deliver the actual service, not how quickly they can answer the phone.\n\nUnfortunately, these businesses are running inflated offices to make up for the poor systems they have to deal with: \n\n* Booking is harder than it has to be\n* Leads are left on ‘seen’ and quotes go cold\n* Jobs are scheduled in the wrong place, and \n* Engineers are dispatched for simple to solve over the phone problems\n\nElyos AI is solving this.\n\n**The Solution**\n\nElyos AI is a fully autonomous AI Agent, built specifically for trades and field services businesses. \n\nThe AI Agents we offer:\n\n1. Cover your phone 24/7\n2. Schedule jobs, optimised for engineer location, skillset and customer preference\n3. Manage payments\n4. Book leads in seconds and chase quotes to keep your pipeline warm\n5. Run your on-call process, dispatching engineers and informing the team over phone and WhatsApp\n6. Confirm appointments so you never send an engineer to an empty job\n\n![uploaded image](/media/?type=post&id=93408&key=user_uploads/1307901/67335b11-c4cf-4bef-990f-b551666d54ea)\n\n**About Us**\n\nOur Founding Team has worked in Field Services for the best part of a decade.  \n\nPip and Panos used to work at OVO and Bulb Energy, two of the largest field services businesses in the UK. Pip was running operations of &gt;1000 engineers and Panos was building the operating system for those engineers.  Adrian, a second-time founder, has spent years optimising call centres with BCG.\n\n![uploaded image](/media/?type=post&id=93408&key=user_uploads/1307901/8834ef97-6502-45fe-9bb6-1c9be4409349)\n\n**The Ask**\n\nIf you know field service business owners in HVAC, plumbing, electrical, or similar trades, please intro us (use: [pip@elyos.ai](mailto:pip@elyos.ai))\n\n[**https://elyos.ai/**](https://elyos.ai/)",
        "url": "https://www.ycombinator.com/launches/OIa-elyos-ai-ai-customer-service-reps-built-for-trades-and-field-services",
        "votes": 9,
        "created_at": "2025-08-28T18:51:46.340Z"
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    "long_description": "Accend helps commercial banks and fintechs underwrite business customers faster, win more deals and increase revenue. We provide an end-to-end platform to automate document intake, financial statement / tax spreading, cash flow modeling, credit memos and portfolio management, with audit-ready AI and human-in-the-loop accuracy. Companies like Corpay, Brex, Rippling, Rho, Column, Settle, and many others have reduced application processing time by 80% with Accend, significantly enhancing their credit underwriting efficiency\r\n\r\nBefore starting Accend, the founders led Product & Engineering on the Risk team at Brex as well as at Deutsche Bank and Credit Suisse so they have firsthand experienced issues with operational efficiency in credit/underwriting teams. Accend has raised a $3.2M seed round from Y Combinator, Adverb Ventures, General Catalyst and 645 Ventures.",
    "one_liner": "AI agents for commercial underwriting at banks and fintechs",
    "team_size": 18,
    "industry": "Fintech",
    "subindustry": "Fintech",
    "launched_at": 1691559472,
    "tags": [
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    "linkedin_url": "https://www.linkedin.com/company/withaccend",
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      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
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    "founders": [
      {
        "user_id": 225420,
        "full_name": "Pranjal Daga",
        "title": "Founder",
        "founder_bio": "Currently, Cofounder of Accend. Previously, I led Product for AI initiatives, particularly in Risk at Brex. Before that, I dropped out of my PhD in AI/ML at Purdue University to help set up Cisco Innovation Labs where I grew the team from 1 to 35 in 4 years.  ",
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        "linkedin_url": "https://linkedin.com/in/pranjaldaga",
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      {
        "user_id": 290,
        "full_name": "Yutong Pei",
        "title": "Founder",
        "founder_bio": "Yutong Pei was most recently the Engineering Manager on the Fraud Risk team at Brex where he built the Disputes service, worked on fraud controls by managing engineers and data scientists. Previously, he has led Fraud Engineering and Security for IoTeX, Uber and Amazon.",
        "is_active": true,
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      {
        "user_id": 1375156,
        "full_name": "Joseph Zhou",
        "title": "Founder",
        "founder_bio": "I'm one of the Co-Founders of Accend. Previously, I served as the CFO of a mobile gaming startup with a 50M ARR. I established the company’s operation in Europe and scaled the team from 0 to 80 members.",
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    "jobs": [
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        "id": 69182,
        "title": "Full Stack Engineer",
        "url": "https://www.ycombinator.com/companies/accend/jobs/XxGbYZN-full-stack-engineer",
        "location": "San Francisco, CA, US / Remote (San Francisco, CA, US)",
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        "id": 90944,
        "title": "Founding GTM (Account Executive)",
        "url": "https://www.ycombinator.com/companies/accend/jobs/d6ggx1f-founding-gtm-account-executive",
        "location": "New York, NY, US",
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        "role": "Sales",
        "role_type": null,
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    "launches": [
      {
        "id": 99081,
        "title": "Accend For Banking",
        "tagline": "AI Infrastructure for End-to-End Credit Underwriting in Commercial Banks",
        "body": "```\nIntroduction\n```\n\nAccend for Banking is AI infrastructure that helps banks turn financial documents into structured financial models and credit insights — from hours to minutes.\n\nBuilt for commercial banks and CRE lenders, it sits inside existing credit workflows and removes the most manual parts of underwriting, so banks can move faster and win more deals.\n\n<https://youtu.be/ZZZYw-Q0XLQ>\n\n---\n\n```\nThe Problem\n```\n\nCredit underwriting in banks is slow because it still relies on legacy systems and outdated tools that haven’t evolved in decades.\n\nAcross most banks today:\n\n* Financial documents are collected across emails, portals, and shared drives\n* Borrowers upload tax returns, financials, and supporting documents across fragmented systems\n* Data is manually extracted and spread into Excel\n* Financial models are rebuilt repeatedly for each case\n* Credit memos are written from scratch every time\n* Monitoring and covenant tracking happen separately\n\nThese workflows are:\n\n* Fragmented across systems\n* Manual and time-intensive\n* Difficult to scale without adding headcount\n* Prone to inconsistencies and errors\n\nEven as lending demand has increased, the infrastructure supporting underwriting has remained largely unchanged for decades.\n\n---\n\n```\nWhat This Means for Banks\n```\n\nThe impact of these workflows goes beyond operations — it directly affects people, speed, and business outcomes.\n\n* Analysts spend hours on data preparation instead of credit decisions\n* Turnaround times slow down lending and delay decisions\n* Banks lose deals to faster competitors\n* Productivity is lost across the workflow due to repeated manual effort\n* Scaling requires adding headcount instead of improving systems\n\nAt a time when speed matters more than ever, these constraints make it harder for banks to compete.\n\n---\n\n```\nHow Accend Helps\n```\n\nAccend brings these fragmented steps into a single, structured workflow.\n\nWith Accend:\n\n* Borrowers upload tax and financial documents through a single secure link or connect their accounting systems\n* Automated requests and reminders keep document collection moving\n* Financial documents are parsed into structured, audit-ready data in minutes\n* Detailed schedules and supporting statements are captured with high accuracy\n* Property-level data (e.g., Schedule E, Form 8825) is broken down with full visibility\n* Cash flow models are generated instantly and mapped consistently\n* Credit insights and memos are built on top of structured data\n\nThis means:\n\n* Analysts spend time on credit decisions, not data preparation\n* Turnaround times shrink from hours to minutes\n* Teams can handle more volume without increasing headcount\n* Outputs remain consistent across deals\n\n---\n\n```\nHow Accend Works\n```\n\nAccend integrates into your existing credit workflow and processes each case end-to-end:\n\n**1. Document Intake**\n\nSend a secure link to borrowers to upload tax and financial documents, or connect directly to accounting systems. Automated requests and reminders ensure completeness.\n\n**2. Data Extraction & Structuring**\n\nAccend parses full tax packages in minutes — including 1040s, 1065s, 1120s, 1120-S, and supporting schedules — and converts them into structured, audit-ready data with source traceability.\n\n**3. Detailed Financial Spreading**\n\nFinancials are standardized across income statements, balance sheets, and cash flows. Supporting statements and add-backs are surfaced automatically.\n\n**4. Modeling & Analysis**\n\nData maps instantly into cash flow models. Teams can drill into sources, override values, run ratios, and leave notes — with every change tracked.\n\n**5. Configurable Financial Models**\n\nModels are configured to your bank’s policies — personal, business, global — ensuring consistency across teams while supporting complex analysis.\n\n**6. Monitoring & Covenant Tracking**\n\nOnce underwriting is complete, covenants are tracked automatically with scheduled tests, due dates, and alerts.\n\n---\n\n```\nGet Started\n```\n\nIf you work in credit, underwriting, risk, or lending operations, Accend helps you modernize your workflow without replacing your systems.\n\n[Schedule a call with Pranjal](https://calendly.com/pranjal-accend/30min), our co-founder, to learn more.\n\nOr explore Accend for Banking → <https://www.withaccend.com/banking>",
        "url": "https://www.ycombinator.com/launches/Pm5-accend-for-banking",
        "votes": 6,
        "created_at": "2026-03-25T15:22:34.058Z"
      },
      {
        "id": 91587,
        "title": "Accend 2.0: The Future of Credit Underwriting",
        "tagline": "Accend helps banks and fintechs collect, spread and analyze financial data for faster and more accurate underwriting using human-in-the-loop AI agents",
        "body": "Today we’re launching **Accend 2.0** — our most ambitious release yet, designed to help financial institutions modernize how they **collect**, **spread**, and **analyze** financial data for underwriting.\n\nOur goal is simple: make underwriting radically faster, more accurate, and effortless for credit teams at banks and fintechs.\n\nhttps://youtu.be/YT6u7ahsSJE\n\n```\n🧨 The Problem\n```\n\nUnderwriting commercial credit still relies on slow, manual workflows — especially when it comes to handling borrower financials.\n\nCredit teams spend days:\n\n* Chasing borrowers for PDFs, Excel files, and accounting access\n* Manually spreading financials into internal formats\n* Creating credit memos from scratch\n* Spotting anomalies by gut feel or Excel checks\n\nThis workflow is not just inefficient — it introduces real risk. Missed red flags, errors in classification, or simply moving too slowly can result in bad loans or lost deals.\n\n```\n🧑‍💻 Who Faces This Problem?\n```\n\nThis problem is felt most acutely by:\n\n* **Fintech lenders** scaling underwriting ops\n* **Banks modernizing** legacy credit infrastructure\n* **Credit risk and underwriting teams** who are overloaded and under-automated\n\n```\n💡 Our Solution: Accend 2.0\n```\n\nWith Accend 2.0, lenders get a single platform to do the following:\n\n## **1. Frictionless Financial Data Collection with Accend Link**\n\nCollecting financials from borrowers is where friction often begins. That’s why we’re launching **Accend Link** — a borrower-facing portal that streamlines data collection from day one.\n\nBorrowers can:\n\n* **Link accounting software directly** — like QuickBooks, Xero, or NetSuite\n* **Or simply upload financials manually** — PDFs, Excel, whatever works for them\n\n🧘‍♂️ No more chasing documents.\\\n🔄 No more back-and-forth.\\\n📁 Just clean, accurate data — in the format you need.\n\n---\n\n## **2. Deep, Accurate, and Customizable Financial Spreading**\n\nOnce the data is in, Accend gets to work.\n\n* **AI-powered line-item classification**\n* **Ratio calculation and benchmarking** against industry standards\n* **Full analyst control** — reclassify line items on the fly and build custom ratios tailored to your credit policy\n\n📋 No spreadsheets. No version control nightmares. Just clarity.\n\n---\n\n## **3. Next-Gen Credit Memos, Built in Minutes**\n\nThis is where Accend 2.0 truly shines.\n\nWe automatically generate **credit memos** that combine:\n\n* 📄 **Business model summaries**\n* 📰 **Real-time financial news**\n* 📊 **Financial health analysis** powered by ratio performance\n\nIt's like having your smartest analyst prepare every memo — in minutes, not days.\n\nYour team gets faster turnaround times and deeper insights — without lifting a finger.\n\n---\n\n## **4. Proactively Flag Risk with Case Signals**\n\nWe’re also launching **Case Signals**, a feature that catches issues before they become problems.\n\nWith over a dozen automated checks — including:\n\n* Reconciliation mismatches\n* Volatility spikes\n* Abnormal ratio patterns\n\nAccend flags anomalies the moment they appear — so your team can act fast and stay ahead of credit risk.\n\n```\n📞 Ready to Modernize Your Underwriting Stack?\n```\n\nIf you’re a lender, bank, or fintech working on credit workflows — we’d love to show you how Accend 2.0 can supercharge your underwriting. See it in action live [HERE](https://www.accend.io).\n\nOr reach out to me directly at [**pranjal@withaccend.com**](mailto:pranjal@withaccend.com) to discuss anything AI x Credit Underwriting. Happy to help.",
        "url": "https://www.ycombinator.com/launches/NpD-accend-2-0-the-future-of-credit-underwriting",
        "votes": 6,
        "created_at": "2025-06-24T16:42:02.932Z"
      },
      {
        "id": 88404,
        "title": "Accend - AI Credit Analyst For Business Underwriting",
        "tagline": "Human-in-the-loop AI Agents for Financial Statement Analysis",
        "body": "**TL;DR:** Accend is launching a new financial statement spreading and analysis, guaranteeing 100% accuracy powered by AI and human-in-the-loop review, saving time and costs.\n\n# **Why We're Building This?**\n\nCredit teams today face a massive problem: underwriting processes remain largely manual, painfully slow, and prone to costly errors. Across financial institutions, analysts spend hours manually spreading and analyzing financial statements, slowing down approvals and inflating operational costs. This isn’t just a minor inconvenience; it's a billion-dollar inefficiency affecting banks, fintechs, insurers and lenders globally.\n\nWe knew there had to be a better way—one where accuracy meets speed.\n\n# **Introducing Accend's Financial Statement Spreading & Analysis Solution**\n\n<https://youtu.be/0T6Yc15qxU4>\n\nWe are expanding Accend into Credit Analysis, starting with financial statement spreading. \n\n✔️ **AI does the heavy lifting**—spreading financials with high accuracy and generating credit memos quickly.\\\n✔️ **Human-in-the-loop**—to complement our AI analysis so you get 100% accuracy, guaranteed.\\\n✔️ **Your underwriting team moves 10x faster**—reducing costs, errors, and approval times.\n\n# **Customer Spotlight**\n\nRussell Gu, Head of Credit Risk at Slope, shares his experience:\n\n> Accend offers the best solution for data-driven credit teams looking to maximize insights from financial documents. Their API solution and onshore time zone support accelerate financial review more than 4x.\n\n# **Who is Accend for?**\n\nAccend is purpose-built for credit leaders who demand excellence: underwriting teams at financial institutions committed to driving efficiency and precision across their credit operations.\n\n# **Why It Matters?**\n\nAccend delivers measurable ROI from day one:\n\n* **100% Accuracy:** Highly accurate AI coupled with expert human in the loop analysis – every spread is reviewed and validated by expert eyes.\n* **Rapid Approvals:** Reduce your application processing times by up to 80%, accelerating credit decisions.\n* **Cost Efficiency:** Dramatically lower your cost-to-serve by automating routine tasks.\n* **AI-Powered Credit Analysis:** Generate credit memos up to 10x faster, enabling teams to focus on high-value activities.\n\n![uploaded image](/media/?type=post&id=88404&key=user_uploads/225420/00a68be6-db43-4660-85b0-68c6d7b864da)\n\n# **Ready to Experience Accend?**\n\nTo celebrate our launch, we're offering your **first financial spread and analysis completely FREE**. Email us at [pranjal@withaccend.com](mailto:pranjal@withaccend.com) or [Schedule a call](https://calendly.com/pranjal-accend/30min-demo) to experience firsthand how Accend can revolutionize your credit processes.\\\n\\\nYou can also read this story on our company blog [here.](https://www.withaccend.com/blog/accend-launches-ai-credit-analyst-faster-underwriting-human-verified-accuracy)",
        "url": "https://www.ycombinator.com/launches/Mzs-accend-ai-credit-analyst-for-business-underwriting",
        "votes": 7,
        "created_at": "2025-03-10T15:50:04.217Z"
      },
      {
        "id": 73980,
        "title": "Accend: Accelerate manual reviews for Fintech Ops & Compliance teams",
        "tagline": "Improve Ops Efficiency & Quality + Excel in Compliance with Accend",
        "body": "**TL;DR**\n\nAccend accelerates manual reviews and automatically generates regulatory reports for Ops & Compliance teams.\n\nB2B Fintechs and BaaS providers utilize Accend to save hours per manual process, such as KYB applications, Disputes, Transaction Monitoring, etc. \n\nIf you work in **Ops & Compliance at fintechs, we’d love to chat with you**. Please reach out at [**founders@withaccend.com**](mailto:founders@withaccend.com)\n\n![uploaded image](/media/?type=post&id=73980&key=user_uploads/225420/7582fece-a662-4123-b052-645eadcf2166)\n\n```\nHow we know this is a problem?\n```\n\nWhen we led Product & Engineering on Risk at Brex, we collaborated with Ops & Compliance teams on a daily basis. For Ops, one of the biggest pain points was declining Ops efficiency + quality of output. For Compliance, it was maintaining healthy relationships with banking partners and regulators. The reasons behind that were:\n\n1. **Complex Processes:** Expanding customer base led to complex reviews due to diverse profiles and services, complicating the process. Moreover, manual reviews are prone to errors and inefficiencies due to overwhelming data verification tasks.\n2. **Regulatory Compliance Burden:** Adhering to changing regulations in compliance (esp in KYC) required meticulous attention to detail, slowing down reviews.\n3. **Scaling via Outsourced Ops Teams:** We noticed a skills gap in outsourced teams regarding regulations and fintech processes, impacting review quality. Training them for consistency took significant time and investment.\n4. **Time-Consuming Regulatory Reports:** Creating detailed regulatory reports like Customer Due Diligence (CDD) and Enhanced Due Diligence (EDD) demanded significant time, complicated by language and cultural challenges, subsequently influencing the clarity and level of detail.\n\nThis posed \n\n1. **Business Risk** - suboptimal customer experience at the time of onboarding and worse, rejection of a legitimate customer, thereby losing revenue. \n2. **Compliance Risk** - hefty penalties (eg: Coinbase’s $100M fine), legal consequences, significant damage to the company's reputation, and even the potential loss of banking partnerships (existential crisis alert!).\n\nWe realized _Brex wasn’t the only fintech dealing with such risks tied to manual reviews_, and we started Accend to tackle these challenges head-on.\n\n```\nOur Solution \n```\n\nOur first use case is accelerating KYB manual reviews. It includes the following features:\n\n![uploaded image](/media/?type=post&id=73980&key=user_uploads/225420/324bc297-c392-4209-af77-19146a90b3e3)\n\n**Guided Review Workflow:** Accend simplifies the KYC procedure by converting the Standard Operating Procedure into a user-friendly, step-by-step guided review process for both internal and external Operations professionals.\n\n**Streamlined Online Research:** Instead of juggling numerous browser tabs to validate information about the business and its beneficial owners/controllers, Accend consolidates data through comprehensive web searches, presenting a summary for validation by Ops professionals.\n\n**Automated Due Diligence Reports:** Traditionally, crafting a CDD/EDD report can take up to 2 hours. Accend automates this process, generating high-quality narrative reports in the company's required template, thus saving valuable Operations time on a daily basis.\n\n**Audit Logs:** Accend establishes an audit trail for actions taken by Operations professionals and the automated processes during KYC manual reviews. This eliminates the need to scour various sources, extract logs, and document them, streamlining the auditing process\n\n```\nWhy Accend?\n```\n\nWith Accend, Fintechs can\n\n* Improve Ops’ quality of output with consistent procedures\n* Increase Ops’ efficiency with automation\n* Reduce cost in managing Ops teams \n* Maintain healthy relationships with banking partners and regulators\n\n```\nWho are we?\n```\n\n[Pranjal Daga](https://www.linkedin.com/in/pranjaldaga/) was most recently the Product Manager on the Risk team at Brex where he reduced fraud losses by $20M and worked on disputes, declines, login friction, etc. Before that, he dropped out of his PhD in AI/ML at Purdue University to help set up Cisco Innovation Labs where he grew the team from 1 to 35 in 4 years.\n\n[Yutong Pei](https://www.linkedin.com/in/yutong-pei-81006842/) was most recently the Engineering Manager on the Fraud Risk team at Brex where he built the Disputes service, and worked on fraud controls by managing engineers and data scientists. Previously, he has led Fraud Engineering and Security for IoTeX, Uber, and Amazon. \n\n[Joseph Zhou](https://www.linkedin.com/in/joseph-tianshi-zhou/) was most recently the CFO of a mobile gaming startup based in Singapore with a 50M ARR. He established the company’s licensed poker operation in Europe and scaled the team from 0 to 80 members, while also managing KYC, AML, compliance, responsible gaming, and fraud prevention.\n\n```\nOur ask \n```\n\nWe’re looking to connect with Ops & Compliance leaders at B2B Fintechs and BaaS providers to explore how Accend can help them improve Ops efficiency & quality and excel on compliance.\n\n```\nLaunch YC Promo\n```\n\nWe’re offering 60 days of free pilot for new customers through the end of August. \n\nWe will work with you regularly to learn about your process, create customized guided review workflows for your company and support you in every way while you’re using Accend.\n\n**Check us out at **[**https://www.withaccend.com/**](https://www.withaccend.com/)**, drop me a note at **[**pranjal@withaccend.com**](mailto:pranjal@withaccend.com)**, or **[**schedule a demo**](https://calendly.com/pranjal-accend/accend-design-partner-program)** to get started.**\n\nThank you 🙏",
        "url": "https://www.ycombinator.com/launches/JFE-accend-accelerate-manual-reviews-for-fintech-ops-compliance-teams",
        "votes": 57,
        "created_at": "2023-08-09T22:21:19.072Z"
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    "country": "US",
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      "url": "https://www.ycombinator.com/people/tom-blomfield"
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        "full_name": "Sriharsha Guduguntla",
        "title": "Founder",
        "founder_bio": "Call me Sai! CEO @ Hyperbound (https://hyperbound.ai/). I am self-learned full-stack engineer and designer with experience building products for 12+ years. Formerly a founding engineer @ Bloom (YC W21), engineering @ Salesforce Einstein, researcher @ UC Berkeley RISE Lab, and I'm a UC Berkeley alum 🐻 Go Bears! \n\nLove to talk music or basketball anytime. Fun fact: Lebron's the 🐐\n\n// sriharshaguduguntla.com",
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        "linkedin_url": "https://linkedin.com/in/sguduguntla",
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        "full_name": "Atul Raghunathan",
        "title": "Founder",
        "founder_bio": "CTO @ Hyperbound. I am an AI engineer and Language Model researcher with a strong background building enterprise-grade ML personalization systems currently used by billions of users. \n\nAlso a huge Mercedes F1 fan 🏎️ and avid rock climber 🧗. \n",
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        "title": "Senior Full-Stack Engineer, Product",
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        "location": "San Francisco, CA, US",
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        "title": "Hyperbound Raises USD 15 Mn to Expand AI Sales Training Platform | Entrepreneur",
        "url": "https://www.entrepreneur.com/en-in/news-and-trends/hyperbound-raises-usd-15-mn-to-expand-ai-sales-training/497218",
        "date": "Sep 17, 2025"
      },
      {
        "title": "YC-backed Hyperbound raises $15M from Peak XV | YourStory",
        "url": "https://yourstory.com/2025/09/funding-yc-backed-hyperbound-15m-peak-xv",
        "date": "Sep 16, 2025"
      },
      {
        "title": "Hyperbound Raises $15 Million Series A to Make Sales Coaching Scalable with AI Sales Roleplays",
        "url": "https://finance.yahoo.com/news/hyperbound-raises-15-million-series-191000599.html",
        "date": "Sep 16, 2025"
      },
      {
        "title": "AI sales tech startup Hyperbound raises $15 million from Peak XV Partners, others - The Economic Times",
        "url": "https://economictimes.indiatimes.com/tech/funding/ai-sales-tech-startup-hyberbound-raises-15-million-from-peak-xv-partners-others/articleshow/123923841.cms",
        "date": "Sep 16, 2025"
      },
      {
        "title": "Sales Upskilling Provider Hyperbound Raises $15 Million Series A",
        "url": "https://www.forbes.com/sites/dereknewton/2025/09/15/sales-upskilling-provider-hyerbound-raises-15-million-series-a/",
        "date": "Sep 15, 2025"
      }
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      {
        "id": 77356,
        "title": "🚀 Hyperbound: Sales Call Roleplay with Realistic AI buyers",
        "tagline": "Build your sales rep a sparring partner in under 20 minutes",
        "body": "### [Live Demo Link](https://app.hyperbound.ai/buyers?invite=aB4eCpXzR9)\n\n**TL;DR** Hyperbound is a simulated roleplay platform that turns your ICP descriptions into interactive AI agents in less than 20 minutes. Hyperbound ramps your reps faster and keeps them warmed up, increasing conversion rates on cold and discovery calls.\n\nTraditionally, it takes an average sales rep \\~400 cold call conversations to ramp up and consistently deliver the message in difficult situations. This organic process usually takes between 3 to 9 months. However, with Hyperbound, your reps can achieve that same level of proficiency in less than a week!\n\n![uploaded image](/media/?type=post&id=77356&key=user_uploads/1403843/780bdcd3-23a7-4344-9482-de3c29ab1272)\n\n### **Long ramp and low conversion for your sales reps**\n\nEven with a parallel dialer, the best reps can only manage about 20 connections per day, resulting in approximately 3-5 conversations.\n\nIt takes an average cold-calling sales representative around 400 conversations to start meeting their quota, which traditionally could take anywhere between 3 to 9 months.\n\nHowever, reps who engage in daily roleplays during training, and to warmup before their calls have shown to meet their quotas up to 3x faster, and have a higher conversion rate.\n\n### **Your reps are forced to practice on your prospects**\n\nMastering cold and discovery calls is a challenging task that requires regular practice and reinforcement.\n\nBut here's the catch with roleplay. It's just awkward, eats up your managers' time, and puts a cap on how many reps each manager can handle.\n\nMost organizations lack the practice they need, forcing their representatives to practice on the few prospects they manage to connect with each day.\n\n### **Solution: The Hyperbound Platform**\n\nHyperbound is a simulated roleplay platform that can transform your Ideal Customer Profile (ICP) descriptions into interactive AI agents in less than 20 minutes.\n\nOur simulations allow your representatives to ramp up quickly and stay prepared, increasing conversion rates on cold and discovery calls.\n\nWith Hyperbound, your representatives can reach the 400 conversations they need ramp up in under a week.\n\n![uploaded image](/media/?type=post&id=77356&key=user_uploads/1403843/71c68268-3c8e-4486-9311-799a2a94d815)\n\n### **Features**\n\n* Create bots in less than 20 minutes to give your reps access to the wide range of personas you sell to. These bots accurately reflect the personalities, objections, opinions, and pain points your reps encounter.\n* Custom scorecards analyze performance on each segment of the call. Their consistency helps you get a unbiased picture of how each reps performance changes over time.\n* Your Manager Dashboard and Rep Leaderboards let you quickly identify A-players and those who need extra help.\n* Create Assignments to set goals for onboarding reps or for those warming up at the start of the day.\n\n### **Our Team**\n\nOur team is built of Sales Coaches, AI engineers, and engineers from Salesforce’s Einstein. Our product has only been possible for a few months now, and we’re so excited to be on the cutting edge of this simulation tech.\n\n### **Your team could be live on Hyperbound tomorrow**\n\nGet access to start building your own agents\n\n* Try Our Live Demo → <https://app.hyperbound.ai/buyers?invite=aB4eCpXzR9>\n* Interested how this could work for your org? Let’s chat → [founders@hyperbound.ai](mailto:founders@hyperbound.ai)",
        "url": "https://www.ycombinator.com/launches/K7g-hyperbound-sales-call-roleplay-with-realistic-ai-buyers",
        "votes": 19,
        "created_at": "2024-01-09T21:04:35.250Z"
      },
      {
        "id": 73368,
        "title": "🚀 Hyperbound: Hyper-personalize your sales emails at scale",
        "tagline": "Research, generate, and launch hundreds of personalized email campaigns with one click.",
        "body": "TL;DR **Say goodbye to generic templates—hyper-personalize your sales emails at scale with Hyperbound. Instantly research your prospects and link your company’s value prop to their specific needs.**\n\nWe research prospects from 40+ web sources, including LinkedIn, Google, TechCrunch, Gartner, Crunchbase, etc., and organize domain-specific data from tools like 6sense, ZoomInfo, Clearbit, and your chosen CRM. Our AI creates individual personas for each prospect and customizes a personalized sales email campaign in your voice to address their pain points and preferred communication style. Strict guardrails ensure reliably high-quality output, ready to send with your sales enablement platforms (Outreach, Salesloft, Apollo, HubSpot, etc) without the need for additional review.\n\n### 🚀 Our Team:\n\nHello World! We’re Atul and Sriharsha, the team behind Hyperbound! We’ve been close friends since high school. We have worked on everything from the ML behind Meta’s Ad Personalization to Salesforce’s Einstein Chatbots. We’re putting all our Salestech and NLP research experience into building the next generation of content personalization!\n\n![uploaded image](/media/?type=post&id=73368&key=user_uploads/1403843/ab287a55-7651-44d2-81a9-93ea9fb14d14)\n\n### 🧨 The Problem: Personalization isn’t scalable\n\n* **Sales emails, especially for B2B sales, must be personalized** to stand out in a crowded inbox. In B2B sales, time spent at the outbound stage can have a massive ROI. More high-quality outbound emails → more chance of contacting the lead that will convert.\n* **Personalized sales emails have at least **[**double**](https://woodpecker.co/blog/cold-email-statistics/#double-your-email-reply-rate-with-advanced-personalization)** the response rate** as basic templated emails, but researching your prospects and drafting exceptional personalized sales emails takes time.\n\n### 💡Our Solution: Reliably High-quality Automatic Personalization\n\nBook a demo at: [hyperbound.ai](http://hyperbound.ai)\n\n![uploaded image](/media/?type=post&id=73368&key=user_uploads/1403843/32f0bfd5-7f8e-45d1-a0a5-907d38252e83)\n\n* Research, generate, and launch hundreds of personalized email campaigns with one click\n* Integrate with your sales enablement tools, industry-specific data enrichment, and CRM of choice (ex: Outreach, ZoomInfo, Salesforce)\n* Maintain your voice — your emails sound like you!\n* Automatically identify personas and adjust messaging experimentally\n\n  ![uploaded image](/media/?type=post&id=73368&key=user_uploads/1403843/0406c269-1d99-49ad-ab51-e781c3c7fd04)\n\n  * Connect your solution with the specific pain points of each prospect for optimal engagement\n  * Subject lines that are tuned to the psychology of each prospect\n  * Data-driven modeling adjusts email and subject wording for each persona\n* Improve your custom AI engine with natural language feedback\n\n  ![uploaded image](/media/?type=post&id=73368&key=user_uploads/1403843/84797afe-ef58-47cb-93df-dd22716c544f)\n\n* Enjoy tough guardrails — brand-safe messaging without hallucinations\n\n### 👋 Our Ask:\n\n* Reach out today to get access to our latest email personalization algorithm! Let us know if you’re interested in a pilot. Bonus points for feedback!\n* Have an outbound email campaign? Know anyone who does? Ask them to book a demo at [hyperbound.ai](http://hyperbound.ai) or drop us a note at [founders@hyperbound.ai](mailto:founders@hyperbound.ai)",
        "url": "https://www.ycombinator.com/launches/J5M-hyperbound-hyper-personalize-your-sales-emails-at-scale",
        "votes": 74,
        "created_at": "2023-07-24T19:12:59.775Z"
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    "name": "AIVideo.com",
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        "full_name": "Justin Harvey",
        "title": "Founder",
        "founder_bio": "Building superhuman video production as a service - AIVideo.com ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/justin-harvey-68a963b6",
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        "full_name": "Eduardo Faraday",
        "title": "Founder",
        "founder_bio": "Building AIVideo.com - Best AI for Video Production\n\nFormer founder at Workep. Scaled to +300k users. Prev. Product lead at Oasis, first AI Video Avatars. @BerkeleySkydeck | StanfordLB",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/edufaraday",
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        "full_name": "Orestis Lykouropoulos",
        "title": "Founder",
        "founder_bio": "Greek born, US based software engineer & composer.\nPassionate about language applications of ML (ex AWS AI, ex Alexa) and orchestral music.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/olykos",
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        "title": "Marketing Consultant (Meta Ads)",
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        "equity_range": "0.10% - 1.00%",
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    "all_locations": "New York City, NY, USA",
    "long_description": "Sweetspot is an all-in-one government sales platform, powered by AI. We help businesses find, manage, and respond to government opportunities.\r\n",
    "one_liner": "AI for Government Contracting.",
    "team_size": 10,
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    "year_founded": 2023,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/sweetspothq/",
    "x_url": "https://twitter.com/SweetspotHQ",
    "fb_url": "https://www.facebook.com/sweetspot.so",
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    "primary_partner": {
      "name": "Harj Taggar",
      "url": "https://www.ycombinator.com/people/harj-taggar"
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    "founders": [
      {
        "user_id": 1284150,
        "full_name": "Sachin Subramanian",
        "title": "Founder",
        "founder_bio": "CEO @ Sweetspot. Go Suns ☄️",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/sachinsubramanian/",
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      },
      {
        "user_id": 557251,
        "full_name": "Philip Kung",
        "title": "Founder",
        "founder_bio": "CTO @ Sweetspot. Previously founded Conduit Robotics, a startup that allowed truckers to \"remote control\" their vehicles.",
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      },
      {
        "user_id": 1522054,
        "full_name": "Andrew Arkhipov",
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    "jobs": [
      {
        "id": 70492,
        "title": "Backend/Data Engineer",
        "url": "https://www.ycombinator.com/companies/sweetspot/jobs/Sm1rZhR-backend-data-engineer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$130K - $200K",
        "equity_range": "0.25% - 1.50%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
          "Amazon Web Services (AWS)",
          "PostgreSQL",
          "Python",
          "Redis",
          "SQL",
          "Docker",
          "Data Modeling"
        ]
      },
      {
        "id": 70493,
        "title": "Frontend/Full-stack Engineer",
        "url": "https://www.ycombinator.com/companies/sweetspot/jobs/6yUef6i-frontend-full-stack-engineer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Frontend",
        "salary_range": "$130K - $200K",
        "equity_range": "0.25% - 1.50%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
          "Amazon Web Services (AWS)",
          "Python",
          "React",
          "TypeScript",
          "Chatbots",
          "Design systems",
          "Next.js"
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    ],
    "news": [
      {
        "title": "AI startup Sweetspot raises $2.2 million | Semafor",
        "url": "https://www.semafor.com/article/08/07/2024/ai-startup-sweetspot-raises-22-million",
        "date": "Aug 07, 2024"
      },
      {
        "title": "An AI search engine for the U.S. government contract maze | Semafor",
        "url": "https://www.semafor.com/article/08/04/2023/an-ai-search-engine-for-the-us-government-contract-maze",
        "date": "Aug 04, 2023"
      }
    ],
    "launches": [
      {
        "id": 92424,
        "title": "📝 Sweetspot AI Form Fill",
        "tagline": "Autonomous form completion for GovCon teams",
        "body": "# **Sweetspot AI Form Fill — Autonomous form completion for GovCon teams**\n\nLeverage AI to finish RFIs, PPQs, security questionnaires, vendor packets, and teaming agreements, so your capture & proposal teams can focus on winning.\n\n![uploaded image](/media/?type=post&id=92424&key=user_uploads/1284150/387d941f-5586-48ac-93c4-72297f4ba53e)\n\n### **TL;DR**\n\nSweetspot’s AI Form Fill is the first and only autonomous form-fill agent built for government contracting teams. Think of it as Cursor for forms: it finds every field (even unlabeled ones!) across _any_ document, then fills them with your validated company data and works with you to fill in the remaining gaps.\n\n![uploaded image](/media/?type=post&id=92424&key=user_uploads/1284150/3bbc2cef-b307-4a0c-8e52-f871c64ace8a)\n\n### **The Problem**\n\nGovCon BD teams spend shocking amounts of time re-typing boilerplate data into forms that all look different but ask for the same information:\n\n* 15-page RFIs that hide critical fields in footers\n* PPQs and security questionnaires where one missed checkbox triggers re-work\n* Vendor onboarding packets and teaming agreements that clog pipelines just when deadlines tighten\n\nManual entry steals hours from color reviews, strategy sessions, and pricing. Worse, each agency’s format changes just enough that no template sticks, and existing PDF tools don’t understand compliance nuance.\n\n![uploaded image](/media/?type=post&id=92424&key=user_uploads/1284150/d0b6afd9-19d3-46cc-92b6-aac5b9cc04ed)\n\n### **Our solution**\n\n**Sweetspot Form Fill** replaces the copy-paste slog with an AI copilot purpose-built for the public sector:\n\n1. **Autonomous field detection**\\\n   Our Form Fill agents scan the entire form, including headers, tables, annexes, and odd footnotes, to surface every required field, labeled or not.\n2. **Live, accurate population**\\\n   We pull from your company data library and reflect all changes in realtime in the browser. No context switching or separate PDF tools needed.\n3. **Ask-once memory**\\\n   If a field is unclear, Form Fill prompts you, stores the answer, and re-uses it automatically on future submissions. This means zero hallucinations and a full audit trail.\n4. **Built-in signatures & edits**\\\n   Add e-signatures, tweak language, and manually add or adjust any field you need. One tab from first click to final PDF.\n5. **Rapid-fire templates**\\\n   For truly repeatable workflows such as recurring state and local government bids, save a template and cut completion time to seconds.\n\n![uploaded image](/media/?type=post&id=92424&key=user_uploads/1284150/f84d23f3-5679-4ee6-9f78-72d8a78e06bf)\n\n### **How It Works Under the Hood**\n\n* **Semantic parsing engine** reads form structure, not just keywords, so Section M or SF33 blocks are never missed. It even works on poorly structured PDFs that don’t use annotations or native fields.\n* **Domain-trained models** tuned on hundreds of thousands of GovCon documents ensure terminology accuracy (CAGE codes, NAICS, JCP, export controls, etc.).\n* **DoD-Compliant architecture** means all of your data, answers, and content are stored securely.\n\n### **Traction & Early Results**\n\n* **12–18 hours saved per team per week** during beta across mid-market federal and SLED contractors.\n* **3× faster package turnaround**, giving users extra days for color reviews, price sharpening, and all the other important tasks that go into winning their next contract.\n* **Zero compliance rejections** to date; all of our users have been extremely happy with the results and have adopted Sweetspot Form Fill directly into their every day business processes.\n\n### **Try it out**\n\nSweetspot already powers proposal teams at Oshkosh, Vannevar Labs, Strider, and other public-sector innovators.\n\nReady to watch forms complete themselves?\n\n* **Book a demo:** [calendly.com/sachin-sweetspot/30min](http://calendly.com/sachin-sweetspot/30min%EF%BF%BC%EF%BF%BC)",
        "url": "https://www.ycombinator.com/launches/O2i-sweetspot-ai-form-fill",
        "votes": 26,
        "created_at": "2025-07-24T18:57:40.068Z"
      },
      {
        "id": 82512,
        "title": "Sweetspot - Introducing State, Local, and Education contracts",
        "tagline": "Leverage AI to win state, local, and education contracts",
        "body": "### \n\n![uploaded image](/media/?type=post&id=82512&key=user_uploads/1284150/4183ece5-910d-4a17-a284-f916476a30e1)\n\n### **TL;DR**\n\n[Sweetspot](https://www.sweetspot.so/) has added **200,000+** state, local, and education (SLED) contracts that span **17,000+ agencies** across **47 states**.\n\n### **The Problem**\n\nCurrently, SLED contract opportunities are spread out across thousands of different city, state, municipality, and county websites. Although some tools have made progress in aggregating this data, the bid-matching process remains suboptimal. These tools often rely solely on the brief descriptions provided, rather than analyzing the actual files and documents uploaded by the government.\n\nThe problem is that these descriptions are frequently missing important details or are too vague about the contract's specific requirements. As a result, small businesses are forced to manually review each opportunity's documentation to determine if it's a good fit for them. After conducting hundreds of market research calls, we reached the conclusion that this process is too time-consuming and inefficient.\n\nHere’s an example of a contract from Maryland asking for a Java Engineer with little to no information in the description. Since it doesn’t even mention the word software once, it is nearly impossible to discover this opportunity easily:\n\n![uploaded image](/media/?type=post&id=82512&key=user_uploads/1284150/53e49f39-3da3-4c53-b01f-a79a2ee451b4)\n\n### **Our Solution**\n\n[Sweetspot](https://www.sweetspot.so/) has leveraged AI to track and aggregate opportunity data across hundreds of disparate SLED data sources, with our coverage growing daily.\n\nOur AI doesn’t simply match keywords. It performs deep semantic analysis on over 20 billion tokens from every opportunity’s associated files and documents.\n\nUsing this information, it then generates a detail-rich description based on these files, and highlights exactly where its relevant to your search query along with providing you the file matches.\n\nFor example, here’s the same Maryland contract that was previously shown. You can clearly see how our AI was able to enrich this search result and present it as a viable opportunity to go after:\n\n![uploaded image](/media/?type=post&id=82512&key=user_uploads/1284150/7d6ed5ca-1504-4b1c-8fab-688876a284e4)\n\nOnce you’ve found a SLED contract you’d like to pursue, you can then use existing Sweetspot tools to analyze the RFx, estimate your probability of winning, assign tasks to teammates, and draft a proposal response.\n\n### **Try Out Sweetspot**\n\nSweetspot is already used by public sector teams at startups like Flexport, Groq, Vannevar Labs, and Strider.\n\n* Sign up for a free account at: [console.sweetspotgov.com](http://console.sweetspotgov.com/)\n* Book a demo at: [https://calendly.com/sachin-sweetspot/30min](https://calendly.com/sachin-sweetspot/30min?month=2024-04)",
        "url": "https://www.ycombinator.com/launches/LSq-sweetspot-introducing-state-local-and-education-contracts",
        "votes": 18,
        "created_at": "2024-07-29T03:51:05.554Z"
      },
      {
        "id": 79974,
        "title": "Sweetspot - AI for government contracting",
        "tagline": "All-in-one government sales platform, powered by AI.",
        "body": "### **TL;DR**\n\n[Sweetspot](https://www.sweetspot.so/) is an end-to-end AI-powered solution that helps users find, manage, and respond to government opportunities.\n\n### **The Problem**\n\nNavigating the complex landscape of government contracting by relying on existing tools is difficult. Both public and private sector solutions have disorganized user interfaces and lag in adopting technological advancements, contributing to numerous inefficiencies.\n\nBeyond user experience issues, there's a significant gap in the holistic support these tools provide. Many focus exclusively on specific parts of the contracting journey — such as search functionalities, proposal writing, or business intelligence — without addressing the need for a comprehensive solution. This siloed approach forces businesses to stitch together a patchwork of tools to navigate the federal contracting space, inadvertently increasing complexity and costs.\n\n### **Our Solution**\n\nSweetspot is an all-in-one platform that streamlines the entire government contracting process. Our solution brings together discovery, management, compliance, and proposal drafting — eliminating the need for multiple disjointed government contracting softwares. To achieve this, we’ve released four new products.\n\n#### **1\\. AI-Powered Search Engine**\n\nSweetspot leverages AI-powered search to ensure that users can discover opportunities that align with their capabilities and interests, even if the exact keywords do not match. This approach significantly reduces the time and effort required to find suitable government opportunities.\n\n_Here’s an example of our search engine easily surfacing construction projects that are on the East Coast:_\n\n![uploaded image](/media/?type=post&id=79974&key=user_uploads/1284150/ca6a4bac-ff02-42e5-b7a0-7fff5628a738)\n\n#### **2\\. Opportunity Chat**\n\nOpportunity Chat uses AI to interpret and answer questions directly from the content of solicitation documents. This allows users to gain insights into critical aspects of solicitations, such as evaluation criteria, pricing tables, and wage rates — facilitating faster and more informed bid/no-bid decisions.\n\n_Here’s an example of Sweetspot AI quickly summarizing a pricing table:_\n\n![uploaded image](/media/?type=post&id=79974&key=user_uploads/1284150/d394399e-d383-4f64-8583-43efa49117bb)\n\n#### **3\\. Pursuit Management**\n\nPursuit Management facilitates seamless collaboration within teams working on contract proposals. The tool allows users to create and assign tasks, comment on progress, and ensures that no internal and external deadlines unexpectedly creep up.\n\n![uploaded image](/media/?type=post&id=79974&key=user_uploads/1284150/04dc76f1-6f7c-498c-a1f2-b5bc80af158a)\n\n#### **4\\. Proposal Copilot**\n\nSweetspot's Proposal Copilot leverages AI to generate compliance matrices and draft competitive proposal responses by indexing user-uploaded information. This tool helps users stay compliant with requirements and reduces the time and effort traditionally required in proposal writing.\n\n![uploaded image](/media/?type=post&id=79974&key=user_uploads/1284150/f19df88f-e13d-4b08-a029-fddfff341a53)\n\n### **Our Team**\n\nSweetspot is built by a team of highly technical cofounders who have worked at companies such as Coinbase, Amazon, Meta, Nuro, Akuna Capital, and Chicago Trading Company. In a space like government contracting that has stuck with the status quo for decades, we bring the tech-forwardness that’s needed to successfully upend the industry.\n\n![uploaded image](/media/?type=post&id=79974&key=user_uploads/1284150/0da6cee3-680c-4c9a-b058-dd3393fcec31)\n\n### **Try Out Sweetspot**\n\n* Sign up for a free account at: [console.sweetspotgov.com](http://console.sweetspotgov.com)\n* Book a demo at: [https://calendly.com/sachin-sweetspot/30min](https://calendly.com/sachin-sweetspot/30min?month=2024-04)",
        "url": "https://www.ycombinator.com/launches/Knu-sweetspot-ai-for-government-contracting",
        "votes": 18,
        "created_at": "2024-04-06T04:49:38.202Z"
      },
      {
        "id": 73068,
        "title": "Sweetspot | AI-powered search engine for government contracts 🔍",
        "tagline": "Sweetspot connects your business to all available and relevant government contracts in just seconds.",
        "body": "### **📚 TL;DR**\n\n[**Sweetspot**](https://www.sweetspot.so) is an AI-powered search engine for businesses that bid on government contracts. Businesses can leverage Sweetspot to find relevant contracts in just seconds, instead of spending hours digging through [SAM.gov](http://SAM.gov).\n\n### **👬 The Team**\n\nHey everyone! We’re Sachin and Philip, the team building Sweetspot. Philip and I have known each other since freshman year of college. Since then, we’ve competed in a number of hackathons and even worked together at [Coinbase](https://www.coinbase.com/) prior to embarking on our startup journey! We came to work on this idea after we talked to our friend working at a real estate firm. His job was to find relevant federal real-estate contracts all day and he hated it due to the poor searching experience. Then, a lightbulb went off in our heads.\n\n![uploaded image](/media/?type=post&id=73068&key=user_uploads/1284150/5821fa8f-b9d4-4029-a4a4-937c2f8538ad)\n\n### **😵‍💫 The Problem**\n\nFinding government contracts on [SAM.gov](http://SAM.gov) is a nightmare, especially for small businesses. The current system is cluttered, hard to navigate, and relies heavily on keyword search, which often leads to irrelevant results - discouraging small businesses looking for contract opportunities. The clunky UI adds another layer of complexity, creating an overall frustrating experience.\n\nImagine you’re part of a landscaping company just getting into contract bidding. Just look at how poor a simple search for “lawn care” contracts on [SAM.gov](http://SAM.gov) is:\n\n![uploaded image](/media/?type=post&id=73068&key=user_uploads/1284150/bc3d52dd-a4d7-49a5-844b-f7fece3de702)\n\n### **💡 The Solution**\n\nSweetspot utilizes a combination of semantic and lexical search to streamline the process of searching for government contracts. Businesses can now find various relevant opportunities with just **one query**, eliminating the need for multiple keyword searches to do hours-long research.\n\nImagine you’re part of an upstart landscaping company (again). Look how many more relevant contracts you find in under a second for querying “lawn care”using Sweetspot:\n\n![uploaded image](/media/?type=post&id=73068&key=user_uploads/1284150/6aba66a2-7216-490f-ae57-70097b14ec01)\n\n### **🔮 The Future**\n\n* Automating queries so you get alerts every time a new contract drops\n* Expanding our dataset to include state and local contracts\n* Adding filters for more granular results\n* Adding lists to better manage your contracts you want to bid on\n* Business Intelligence and Analytics for contracts\n* AI proposal writing to help you draft responses to RFPs\n\n![uploaded image](/media/?type=post&id=73068&key=user_uploads/1284150/6114ea0d-5c67-4678-b531-c951ad7cb34b)\n\n![uploaded image](/media/?type=post&id=73068&key=user_uploads/1284150/c975695a-382d-4890-828c-6fb3415694f4)\n\n### **🙏 Our Asks**\n\n* Drop us a follow on [**LinkedIn**](https://www.linkedin.com/company/sweetspothq/) & [**Twitter**](https://twitter.com/SweetspotHQ)\n* Introductions to anybody with experience bidding on government contracts.\n* If you’re in the government contracting space or know any friends who may be interested, check out our [**website**](https://www.sweetspot.so/) and book a demo [**here.**](https://calendly.com/sachin-sweetspot/30min)",
        "url": "https://www.ycombinator.com/launches/J0W-sweetspot-ai-powered-search-engine-for-government-contracts",
        "votes": 45,
        "created_at": "2023-07-14T05:14:49.996Z"
      }
    ]
  },
  {
    "id": 28804,
    "name": "Bland AI",
    "slug": "bland-ai",
    "former_names": [
      "Intelliga Health",
      "Intellig",
      "Intelliga",
      "Intelliga Voice"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6ffd25772d0582e8800926759bd81a08cc8effb2.png",
    "website": "https://bland.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "",
    "one_liner": "The enterprise platform for AI phone calls",
    "team_size": 65,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1687738851,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
      "B2B",
      "Infrastructure"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Growth",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/bland-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/bland-ai.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/96359660/",
    "x_url": "https://x.com/usebland",
    "fb_url": null,
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6ffd25772d0582e8800926759bd81a08cc8effb2.png",
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    "primary_partner": {
      "name": "David Lieb",
      "url": "https://www.ycombinator.com/people/david-lieb"
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    "founders": [
      {
        "user_id": 1314105,
        "full_name": "Isaiah Granet",
        "title": "Founder",
        "founder_bio": "building things that talk back. \n\nno more waiting on hold, no more phone trees. \n\nthe future is bland.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/isaiah-n-granet",
        "x_url": "https://twitter.com/zaygranet",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5117c76167fa752c1755ae324a4653c493d32dd7.jpg"
      },
      {
        "user_id": 1312013,
        "full_name": "Sobhan Nejad",
        "title": "Founder",
        "founder_bio": "Co-founder of Bland AI. Building the enterprise platform for AI phone calling.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/sobhan-nejad-796129133",
        "x_url": "https://twitter.com/sobhan_nejad",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/82c3055a61cb54b193318e4a9bc38172e61b5abf.jpg"
      }
    ],
    "jobs": [
      {
        "id": 68953,
        "title": "Support Engineer",
        "url": "https://www.ycombinator.com/companies/bland-ai/jobs/AInt422-support-engineer",
        "location": "San Francisco, CA, US / Remote (US)",
        "type": "Full-time",
        "role": "Support",
        "role_type": null,
        "salary_range": "$140K - $170K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 68954,
        "title": "AI / ML Engineer",
        "url": "https://www.ycombinator.com/companies/bland-ai/jobs/sKOsJDQ-ai-ml-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$140K - $220K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 83033,
        "title": "Full Stack Engineer",
        "url": "https://www.ycombinator.com/companies/bland-ai/jobs/gnjM27L-full-stack-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $200K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Node.js",
          "PostgreSQL",
          "React",
          "TypeScript"
        ]
      }
    ],
    "news": [
      {
        "title": "Exclusive: Voice AI startup Bland raises $50 million after being rejected by 180 investors | Fortune",
        "url": "https://fortune.com/2026/06/16/voice-ai-bland-50-million-after-being-rejected-by-180-investors/",
        "date": "Jun 16, 2026"
      }
    ],
    "launches": [
      {
        "id": 83557,
        "title": "Bland AI: The enterprise platform for AI phone calls",
        "tagline": "Build, test, and scale AI phone agents, and integrate with our API.",
        "body": "### **TL;DR:**\n\n* 13\\.5 billion phone calls are made every single day. Hundreds of millions of those occur in call centers.\n* The call center economy is a >$30 billion industry that is growing >10% year over year.\n* Our customers use Bland to build AI phone agents that handle the bulk of their call volume. Whether these calls are for customer support, sales, or appointment setting, Bland makes these calls cheap and efficient.\n\n### **The Problem**\n\nMore than half of the population prefers talking on the phone with businesses instead of email and chat. The average cost per call for US-based companies is somewhere between $3.00 and $5.00. Enterprises need call centers– but they are impractical to run and difficult to affordably staff. \n\nCall center jobs have some of the highest turnover in the world. They are grueling, don’t pay well, and highly repetitive. This means:\n\n* High cost for training, onboarding, and recruiting\n* Agents that don’t have the context or education to handle moderately complex calls\n\n**These calls are the backbone of how enterprises interact with their customers. We’ve all been stuck on hold for hours, transferred through dozens of different organizations to get to the right supervisor, all to waste the bulk of a day fixing a simple problem.**  Customers hate this, get exasperated and angry, and the call center worker, two weeks into the job, has to deal with a rightfully frustrated customer. The business loses trust with the customer and has no real way to build a better process.\n\n### **Solution**\n\nUsing Bland, companies build AI phone agents that are hyper-educated, have strict guardrails, and integrate into every part of their tech stack. **By building a true end-to-end infrastructure, these agents have Enterprise-grade stability, sub-1 second latency, and the ability to infinitely scale. Companies build the agent, integrate it into their CRMs and databases, and expand the use case whenever they need to**.\n\n**To negate hallucinations** we’ve built out our own programming language called _Conversational Pathways_, which allows you to split prompts into unique nodes.\n\n**For best-in-class latency and security,** we built and hosted our own TTS, Inference, and Transcription models.\n\n**For observability,** we provide full transparency into what’s happening during every call, from real-time logs to post-call analysis.\n\nWe’re trusted by Sears, [Better.com](http://Better.com), and backed by investors like Scale Partners and Jeff Lawson to change the way enterprises interact with their customers forever.\n\n<https://youtu.be/kev5w-6WUyA>",
        "url": "https://www.ycombinator.com/launches/Ljh-bland-ai-the-enterprise-platform-for-ai-phone-calls",
        "votes": 25,
        "created_at": "2024-08-28T20:35:23.871Z"
      },
      {
        "id": 72612,
        "title": "Intelliga Health - Automating insurance workflows for medical practices",
        "tagline": "Helping patients get the treatments they need.",
        "body": "**TLDR**; At Intelliga Health, we use AI to streamline insurance workflows for medical practices. We integrate seamlessly with fax machines, digitize and organize inbound insurance communication, and write appeals back to insurance.\n\n### **Problem**\n\nManual workflows associated with running medical practices - like organizing faxes, scanning files, and dealing with insurance - distract doctors from the most important part of their days, caring for their patients.\n\nPrior Authorization, for example, costs an estimated 16 hours each week, while causing delays and sometimes denials to patients’ treatments.\n\n### **Solution**\n\nWe’re developing an AI-powered system to automate back-office operations for medical practices. Our first product, Appeal Suite, helps practices organize inbound faxes and win more prior authorization appeals. Try our public demo [here](https://appeals.intelligahealth.com/)!\n\n### **Product Snapshot**\n\nAfter receiving a fax from insurance, our system can:\n\nCategorize the fax by type, patient, and authorization case within an electronic inbox\n\n![uploaded image](/media/?type=post&id=72612&key=user_uploads/1312013/c11b5cae-8a02-4f20-b21a-5214b9d01701)\n\nGenerate a persuasive and evidence-based appeal letter to inbound denials\n\n![uploaded image](/media/?type=post&id=72612&key=user_uploads/1312013/7ad28ccd-c881-4df3-bc62-bc300e201c36)\n\n### **Why are we building it?**\n\nOne month ago my aunt passed away from pancreatic cancer. During her hospitalization insurance repeatedly denied treatment, preventing her from accessing chemotherapy because it wasn’t “medically necessary”.\n\nWe’re fighting every day to help other patients like my aunt get the life-saving treatments they need.\n\n### **Asks**\n\n* Share our [Appeal Portal](http://appeals.intelligahealth.com/) with the healthcare providers you know!\n* If you have experience selling to medical practices and/or hospitals, we’d love to meet with you.",
        "url": "https://www.ycombinator.com/launches/ItA-intelliga-health-automating-insurance-workflows-for-medical-practices",
        "votes": 21,
        "created_at": "2023-06-28T15:06:58.075Z"
      }
    ]
  },
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    "id": 28805,
    "name": "Diligent",
    "slug": "diligent",
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    "website": "https://godiligent.ai",
    "all_locations": "London, England, United Kingdom",
    "long_description": "We help fintech risk and AML compliance teams automate and strengthen routine customer due diligence tasks with LLMs. Our AI assistants slash cost-to-comply, improve risk detection and free up capacity for investigations that require human expertise and decision making. \r\n\r\nFintechs and banks use us to automate workflows like running thorough due diligence on a legal entity, reviewing customer documents like registry extracts, proofs of address etc and remediating false positive alerts from their AML systems.",
    "one_liner": "AI agents for fintech risk and compliance operations",
    "team_size": 10,
    "industry": "Fintech",
    "subindustry": "Fintech",
    "launched_at": 1706799734,
    "tags": [
      "Fintech",
      "Compliance",
      "Fraud Prevention",
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    "top_company": false,
    "isHiring": true,
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    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
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    "regions": [
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      "Europe"
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    "stage": "Early",
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    "app_answers": null,
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    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/diligent.json",
    "year_founded": 2023,
    "city": "London",
    "country": "GB",
    "linkedin_url": "https://www.linkedin.com/company/godiligentai",
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    "company_photos": [],
    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
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    "founders": [
      {
        "user_id": 727896,
        "full_name": "Edoardo Maschio",
        "title": "Founder",
        "founder_bio": "I was an investment associate and chief of staff @ Rocket Internet early-stage team. Incubated and invested multiple ventures with the fintech team. Previously worked as Junior associate @ Boston Consulting Group.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/edoardo-maschio-704",
        "x_url": "https://twitter.com/edoardo_maschio",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9bbf7e727118cc2a9f7e7adc6464f082dd00183c.jpg"
      },
      {
        "user_id": 1349429,
        "full_name": "Ahmed Gaber",
        "title": "Founder",
        "founder_bio": "I'm Co-founder and CTO at Diligent and I worked in Fintech for more than a decade.\nMost recently I was VP of engineering at Billie (Europe’s largest B2B BNPL) and led multiple engineering teams on various domains: business identification, fraud, credit, and AML risk. Previously I was a technical PM and software engineer at Funding Circle.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/ahmedsamygaber",
        "x_url": "https://twitter.com/i_sico",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f4c14ea6e2cf457d53acf7f0319eb38169b7b74b.jpg"
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    "jobs": [
      {
        "id": 85419,
        "title": "Founding ML engineer",
        "url": "https://www.ycombinator.com/companies/diligent/jobs/qq2XJ61-founding-ml-engineer",
        "location": "London, England, GB",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "£75K - £90K GBP",
        "equity_range": "0.50% - 1.00%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 98850,
        "title": "Go-To-Market associate",
        "url": "https://www.ycombinator.com/companies/diligent/jobs/b4JjjoO-go-to-market-associate",
        "location": "London, England, GB",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
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    "news": [
      {
        "title": "Diligent AI Raises $2.5M to Empower KYC and Anti-Money-Laundering teams with AI Agents",
        "url": "https://www.godiligent.ai/post/diligent-ai-raises-2-5m-to-empower-kyc-and-anti-money-laundering-teams-with-ai-agents",
        "date": "Mar 04, 2026"
      }
    ],
    "launches": [
      {
        "id": 96132,
        "title": "Diligent - Automate Sanction/PEP/Adverse Media alert reviews",
        "tagline": "KYC/AML teams use Diligent AI to reduce by 50% the time spent on AML alert handling",
        "body": "# **TL;DR**\n\nDiligent helps KYC/AML teams at fintechs and banks **automate the review of Sanctions / PEP / Adverse Media alerts** from their screening providers.\n\nThe agent, natively integrated with the world’s most popular AML screening providers (e.g., LexisNexis, WorldCheck, Dow Jones, etc.), reduces alert-handling time by over 50%. Trusted daily by **S&P 500 firms and global banks.**\n\nIf you’re a regulated financial institution… get in touch at [**founders@godiligent.ai**](mailto:founders@godiligent.ai).\n\n# **THE PROBLEM**\n\nSanctions, PEP, and Adverse Media screening is one of the most painful bottlenecks in KYC/AML operations. Every customer you onboard must be screened, and so must the counterparties of their transactions, to ensure no money flows to bad actors.\n\nScreening systems are essential for fighting financial crime, but they also generate a **huge volume of false positives**, especially for common names, transliterations, and partial matches. This pulls resources away from true investigations and forces analysts into repetitive work every day.\n\n# **THE SOLUTION**\n\nhttps://youtu.be/IMGAFRPFpM0\n\nWe built an **AML Screening AI Agent**: an AI agent that automatically investigates screening alerts and produces a final decision with a clear audit trail.\n\nIt works natively with all major screening providers (LexisNexis, WorldCheck, Dow Jones, etc.). Think of it as a new employee added to your account, no engineering effort required.\n\nIt opens every alert, reads hit details and articles, searches the web and other sources to enrich missing information, and recommends a disposition based on your own decisioning policy, with structured reasoning.\n\n**Result:** 40-70%+ reduction in alert-handling time, more consistent decisions, and a cleaner backlog.\n\n# **THE TEAM**\n\nWe’re [**Edo**](https://www.linkedin.com/in/edoardo-maschio-704/), [**Ahmed**](https://www.linkedin.com/in/ahmedsamygaber/?originalSubdomain=uk) and [**Chris**](https://www.linkedin.com/in/chris-leow-59856849/).\n\nAhmed led multiple teams as VP Engineering at Billie (Europe’s largest B2B BNPL), across business identification, fraud, credit, and AML risk. Previously he was a technical PM and software engineer at Funding Circle.\n\nEdo worked as an Investment Associate and Chief of Staff at Rocket Internet’s early-stage investment team and was previously a Junior Associate at Boston Consulting Group.\n\nChris was the founding member and 10yrs veteran of ComplyAdvantage - one of the world leading Anti-Money-Laundering software solutions and screening provider. He worked on their entity resolution and transaction monitoring capabilities.\n\n# **OUR ASK**\n\nIf you are a fintech or bank interested in exploring how AI agents can streamline your AML operations, or you know teams that might be interested, get in touch at [**founders@godiligent.ai**](mailto:founders@godiligent.ai) or find time to chat [**here**](https://cal.com/edoardo-maschio).\n\n\\\nYou can be up and running in a day!",
        "url": "https://www.ycombinator.com/launches/P0W-diligent-automate-sanction-pep-adverse-media-alert-reviews",
        "votes": 20,
        "created_at": "2025-12-11T17:43:50.529Z"
      },
      {
        "id": 78512,
        "title": "Diligent - GenAI assistant for KYC/AML compliance operations",
        "tagline": "We help AML compliance teams automate routine customer due diligence tasks with Large Language Models",
        "body": "### **TL;DR**\n\n[**Diligent**](https://www.godiligent.ai/) **helps fintech risk and AML compliance teams automate and strengthen customer due diligence with Generative AI.**\n\nFintechs and banks use us to automate tasks like running thorough due diligence on a legal entity, reviewing customer documents (e.g. certificates of incorporation, proofs of address etc) and remediating false positive alerts from AML systems.\n\nIf you’re a fintech or bank… get in touch at [founders@godiligent.ai.](mailto:founders@godiligent.ai)\n\n### **THE PROBLEM:**\n\n**Fraud and Anti Money Laundering (AML) controls** are key parts of the fintech and banking industry but generate significant back office workload. It's 2024 and **most of the work still involves human analysts running repetitive tasks** which are costly, error prone and take time away from real investigations that can move the needle for fincrime prevention and require expertise.\n\nThese manual tasks can include things like…\n\n* checking online presence to verify the legitimacy and nature of business of a customer\n* reviewing documents like registry extracts, proofs of address and bank statements to comply with onboarding requirements\n* sitting through thousands of false positive alerts from AML systems\n\n### **THE SOLUTION:**\n\nDiligent builds **AI assistants designed to automate routine tasks**, slashing cost-to-comply, strengthening risk detection and freeing up capacity for investigations that require human expertise and decision making.\n\nOur AI assistants follow your workflow policies, integrate with existing systems and output risk intelligence or reports with a clear audit trail.\n\n![uploaded image](/media/?type=post&id=78512&key=user_uploads/727896/7970904a-f049-42f7-91fe-3b0fc3400c50)\n\n**We built 3 AI assistant archetypes**\n\n* ⚠️ _Risk assistant:_ Investigates holistically the risk and nature of business of customers and transaction counterparties. E.g. is the legal information declared verified? what does this company actually do? do website and address look suspicious? what's the online reputation on socials, reviews etc?\n* 🔍 _Screening assistant:_ Investigates automatically alerts from screening systems and slashes time spent remediating false positives on Sanctions/PEP/Adverse Media\n* 📝 _KYB assistant:_ Verifies business information and instantly validates customer uploaded documents (register extract, proof of address, bank statements etc.) according to custom acceptance policy to remove back-office verification work and avoid customer friction\n\nHere is a quick demo on how they can work together to conduct due diligence on a legal entity by investigating its legitimacy online, checking documentation, and reviewing alerts for Sanctions/PEP/Adverse Media against it.\n\n![uploaded image](/media/?type=post&id=78512&key=user_uploads/727896/78a8d2d2-27bc-4aa4-b8fd-39b03e5acaec)\n\n### **THE TEAM:**\n\nWe’re [**Edo**](https://www.linkedin.com/in/edoardo-maschio-704/) and [**Ahmed**](https://www.linkedin.com/in/ahmedsamygaber/).\n\nAhmed led multiple teams as VP engineering at Billie (Europe’s largest B2B BNPL) across business identification, fraud, credit and aml risk. Previously he was a technical PM and software engineer at Funding Circle.\n\nEdo worked as Investment associate and chief of staff at Rocket Internet early stage investment team and previously was Junior Associate at Boston Consulting Group.\n\n### **OUR ASK:**\n\nIf you are a fintech and are interested in exploring how Generative AI can streamline your risk and compliance controls… get in touch at [founders@godiligent.ai](mailto:founders@godiligent.ai) or find time to chat [**here**](https://calendly.com/edoardomaschio/30min?month=2024-02)!",
        "url": "https://www.ycombinator.com/launches/KQK-diligent-genai-assistant-for-kyc-aml-compliance-operations",
        "votes": 80,
        "created_at": "2024-02-18T21:00:07.591Z"
      }
    ]
  },
  {
    "id": 28807,
    "name": "Pointhound",
    "slug": "pointhound",
    "former_names": [
      "Homies"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d2ca619520c27a962f58e863e40ff3811fb10853.png",
    "website": "http://www.pointhound.com",
    "all_locations": "Remote",
    "long_description": "Pointhound makes it easy to earn and redeem your credit card points for free flights. \r\n\r\nWe're driven by our mission to make the world more accessible through travel.",
    "one_liner": "Earn and redeem credit card points for free flights",
    "team_size": 5,
    "industry": "Consumer",
    "subindustry": "Consumer -> Travel, Leisure and Tourism",
    "launched_at": 1689084374,
    "tags": [
      "Fintech",
      "Consumer",
      "Travel",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
      "Consumer",
      "Travel, Leisure and Tourism"
    ],
    "regions": [
      "Remote",
      "Fully Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/pointhound",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/pointhound.json",
    "year_founded": 2023,
    "city": null,
    "country": null,
    "linkedin_url": "https://www.linkedin.com/company/pointhound",
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    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/pointhound",
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    "primary_partner": {
      "name": "Garry Tan",
      "url": "https://www.ycombinator.com/people/garry-tan"
    },
    "founders": [
      {
        "user_id": 190562,
        "full_name": "Jay Reno",
        "title": "Founder/CEO",
        "founder_bio": "Jay is the co-founder and CEO of Pointhound (S23) and previously founder and CEO of Feather (S17), a furniture rental company for living light. Feather raised $76m from Kleiner Perkins, Bain Capital Ventures, NEA, Spark, Cobalt, SV Angel and others and was acquired in 2022.\n\nJay is also a Co-founder & Partner at Spot VC, backing exceptional YC founders.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jayjreno",
        "x_url": "https://twitter.com/jayjreno",
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      {
        "user_id": 1402896,
        "full_name": "Jake Malone",
        "title": "Founder",
        "founder_bio": "I love to build great software and great engineering teams.\n\nCo-founder and CTO of Pointhound (S23) and previously CTO of Feather (S17), a furniture rental company that raised $76m and was acquired in 2022.",
        "is_active": true,
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      {
        "id": 73013,
        "title": "Frontend Engineer",
        "url": "https://www.ycombinator.com/companies/pointhound/jobs/G2tb7bB-frontend-engineer",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Frontend",
        "salary_range": "$100K - $150K",
        "equity_range": "0.20% - 1.50%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
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    "news": [],
    "launches": [
      {
        "id": 76419,
        "title": "✈️ Pointhound - earn and redeem credit card points for free flights 💳",
        "tagline": "Do you like free flights? We'll help you get *lots* of them in economy or business ",
        "body": "# **TL;DR**\n\n[Pointhound](https://pointhound.com) helps you earn and redeem your credit card points for free flights to amazing destinations 🛫🏝️🗼\n\nIf you’re like us and like the idea of getting free flights _for free_, read on! 👇\n\n# **🤫 The situation — and a big secret**\n\n120m Americans have credit cards, but almost none of us know how to use them or which one(s) to get. We think that cash back cards are the best because they give us, well, cash back.\n\nThe reality is, instead of cash back, earning **points** when you spend will get you _far, far_ greater ROI than cash back — upwards of 10-15x, in fact, when you use your points to book flights.\n\nBook flights with points, you say? How do I do that? Great question: by **transferring** **your points** from your credit card portal (like Amex) to an airline (like Delta) and booking with an airline.\n\nExample: let’s say you found a flight that retails for $1000. If you booked that flight through your credit card’s travel portal, it would cost you 100,000 points (or $0.01 per point — the industry standard). By transferring your points from your credit card’s portal to the airline flying the route, it might only cost you 90,000 points. Not bad.\n\nBut If you booked the Delta flight through their partner, Air France-KLM’s website, **it might only cost you 10,000 points** — 10x cheaper!\n\n_Yup, really._\n\n![](https://lh7-us.googleusercontent.com/Ybt3eTOD1Q5hY_qPmvTpU0Zr7PRHjgPk-esFb3v5pENdVIscLo6Nx1UQmHWCtw09Xl7m_Se3vOw4U-jXu-l7ChWZlejksxzGW-q-NmmL7Hm9YO5ECgCUfjRvBkq6TKvypbtIQpBDP0ozp8En53VjWSw)\n\n# **❌ The problem**\n\nOk, so now we understand that earning points are better than cash back, let’s talk about the problem:\n\n* Figuring out which point-earning credit card(s) to sign up for is complex.\n* Knowing which card you should use to maximize the points you **earn** is even more complex.\n* And figuring out how to **redeem** your hard-earned points for good, no, _great_ value may be the most complex.\n\nSure, there are the blogs and content-heavy websites that _try_ to help you navigate the world of points. But they require you to read and digest thousands of full-length articles to understand what to do.\n\nAnd there are a few companies who have built flight search tools for points, but none seem to holistically address the complexities of both **earning** points and **redeeming** those points. Oh, and they also charge you a monthly fee.\n\n# **✅ The solution — Pointhound**\n\n[Pointhound](http://pointhound.com) is a _completely free_ way to help you earn and redeem your points for free flights 🏝️☀️\n\nOur goal is simple: to simplify the complex world of credit card points and airline miles. We do this by providing our users with a few delightfully designed tools. Our tools help you:\n\n**Redeem your points**. Not sure how to use your hard-earned credit card points? You’re in luck! Our flight search engine searches over 140 airlines at once and surfaces incredible deals using your points and miles. And our [Top Flight Deals](https://pointhound.com/explore) page shows you the cheapest flights from your home airport to destinations all over the world.\n\nWe then tell you where you should transfer your points from (ex. Chase) and to (ex. Air France-KLM Flying Blue) to get the absolute best deal using your points.\n\nFor example, I just booked a flight from SFO to Tokyo in business class for only 60,000 points, when the retail price was $6500 – more than 10 times cheaper when booking with points! _Now you can too._\n\n![](https://lh7-us.googleusercontent.com/G-JvDBpItFU2r2HzbXVzxX3jmIAv9YP8nluGgDZ5aFrRdvs20-jrNVTM6ygH38DBfCst80WZOCxapnecQY207t-7zeaHSbkQIJk26v39PM_3QJWNfWmVsxv4NYv8faNMhB12r7c7n7h7xS8xQmS79yo)\n\n**Earn more points**. Newly obsessed with finding and booking free flights and want to get more points? Our personalized credit card algorithm helps you get the right card(s) for you so you can maximize the points you earn (and free flights you can get).\n\nOur goal is to equip the “points beginners” – many of us who have a card or two and would like a simple product to help us earn and redeem our points for free flights.\n\n![](https://lh7-us.googleusercontent.com/1Q51EUtGWI6LLfJtSPthI-q2QN2dSowTFKu_D8_KX5k957PRhe73c01FhSiEKK9wrrA2jymjG-bA-gUk5n91Ym-_-uV8Ywp9JkfrAlZMPWtgxot1uGm3BbNvMUZsEZh3i3B6CtFuWehXmDhbXKfk8eQ)\n\n# **👨‍👩‍👦‍👦 Why us**\n\nWe’re a mix of point junkies _and_ point beginners. We understand our user, because we _are_ our user.\n\nWe can relate, but we also ask questions and listen. Learning from our users directly is critical.\n\nWe’ve seen industries in need of a shake up — we’ve been here before. Our founding team previously founded and built the consumer startup, [Feather](https://livefeather.com/), a YC S17 company, where we raised $75 million from Kleiner, Bain and NEA, and sold the business.\n\n* [Jay Reno](https://www.linkedin.com/in/jayjreno/) 👨‍✈️ - Co-founder & CEO\n* [Jake Malone](https://www.linkedin.com/in/jakemalone/) 👨‍🏫 - Co-founder & CTO\n* [Samantha Clark](https://www.linkedin.com/in/clarksamantha/) 👩‍🎨 - Co-founder & CPO, Design, Brand\n* [Jeffrey Flynn](https://www.linkedin.com/in/jeffreynflynn/) 👨‍💻 - Founding Engineer\n\nWe’re combining our consumer experience building Feather with our passion for travel to build a once-in-a-generation travel business.\n\n# \n\n# **🙏 Asks**\n\n1. Find and book yourself a [free flight](https://www.pointhound.com/explore). _Is that a real ask?_ It sure is.\n2. Share with your friends who you think might love booking free flights! _Thanks in advance_.\n3. Please share feedback by sending an email to [founders@pointhound.com.](mailto:founders@pointhound.com) _But, like, pls don’t spam_ 🤞.\n\nWe’ve made Pointhound free for everyone, so if you find this at all valuable, your support and upvotes would be super valuable and motivating for us.\n\nHappy (free) flying! 🛫☀️",
        "url": "https://www.ycombinator.com/launches/JsZ-pointhound-earn-and-redeem-credit-card-points-for-free-flights",
        "votes": 81,
        "created_at": "2023-11-28T15:00:18.920Z"
      }
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    "id": 28809,
    "name": "Readily",
    "slug": "readily",
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    "website": "https://readily.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Readily uses AI to free 20 million healthcare professionals from manual compliance work so they can focus on patient care. We've helped $B healthcare organizations cut regulatory analysis, policy drafting, and audit work by up to 90%, reducing consulting spend and compliance risk.",
    "one_liner": "AI Compliance Platform for Healthcare Organizations",
    "team_size": 20,
    "industry": "Healthcare",
    "subindustry": "Healthcare",
    "launched_at": 1684821530,
    "tags": [
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      "Compliance",
      "Healthcare",
      "Regtech",
      "AI"
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
      "Healthcare"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Growth",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/readily",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/readily.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/92577707",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5dd41b10b33a2ecd2a476de413172d7d64e9de90.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
    },
    "founders": [
      {
        "user_id": 318129,
        "full_name": "Edward Tiong",
        "title": "Founder",
        "founder_bio": "CEO at Readily. Studied AI at Berkeley. Ex-Microsoft AI. 3x founder. Holds 2 patents.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/edwardtiong",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/52a1532f1722384a150fc482882f8e94a4511aea.jpg"
      }
    ],
    "jobs": [
      {
        "id": 82767,
        "title": "🚀 Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/readily/jobs/SEZ25wL-forward-deployed-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$110K - $170K",
        "equity_range": "0.10% - 0.40%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 82768,
        "title": "🚀 Full-Stack Engineer",
        "url": "https://www.ycombinator.com/companies/readily/jobs/hgS2kgL-full-stack-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$110K - $180K",
        "equity_range": "0.10% - 0.40%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 82769,
        "title": "🚀 Compliance Program Manager",
        "url": "https://www.ycombinator.com/companies/readily/jobs/oPocn1w-compliance-program-manager",
        "location": "San Francisco, CA, US / Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$130K - $160K",
        "equity_range": "0.01% - 0.20%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 92227,
        "title": "🚀 Senior Cloud DevSecOps Infrastructure Engineer",
        "url": "https://www.ycombinator.com/companies/readily/jobs/TNNdP3H-senior-cloud-devsecops-infrastructure-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Devops",
        "salary_range": "$120K - $180K",
        "equity_range": "0.10% - 0.30%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 92433,
        "title": "🚀 Senior Full-Stack Engineer",
        "url": "https://www.ycombinator.com/companies/readily/jobs/vrUSOY7-senior-full-stack-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $220K",
        "equity_range": "0.30% - 2.00%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 92455,
        "title": "🚀 Founding Account Executive",
        "url": "https://www.ycombinator.com/companies/readily/jobs/bZY5TDa-founding-account-executive",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$220K - $325K",
        "equity_range": "0.20% - 1.00%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 103198,
        "title": "🚀 Marketing Manager",
        "url": "https://www.ycombinator.com/companies/readily/jobs/VKVtK8S-marketing-manager",
        "location": "San Francisco, CA, US / Los Angeles, CA, US / Remote (US)",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$120K - $150K",
        "equity_range": "0.05% - 0.10%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "Readily raises $11M to help insurers stay compliant",
        "url": "https://endpoints.news/readily-raises-11m-to-help-insurers-stay-compliant/",
        "date": "Oct 13, 2026"
      }
    ],
    "launches": [
      {
        "id": 83298,
        "title": "Readily - Healthcare compliance made easy",
        "tagline": "We help healthcare organizations find and close compliance gaps in hours not weeks.",
        "body": "# **tl;dr:** Readily helps healthcare organizations stay compliant as requirements become more complex. We connect their policies with regulations, making it drastically easier to find and close gaps.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXctpwpG1HfM12TBrl0_RXm7AOCE4BaRe-5VI_V3OaXJhtS2HRILw_YIdECGRLAeM2kHq-1GF7dfHD5_oeI3QgXS80w4hiJGViuj4YcBAiWb7Dgb3Ld1_BP9Sx1XobQqgRUjNhHNwxgpJRu-wCJMQNEg09BN?key=WOtv3UHkF8eR-G9ONpZmyQ)\n\n# **Problem**\n\nHealthcare organizations face growing backlogs and [**fines of up to $55M**](https://www.dhcs.ca.gov/formsandpubs/publications/oc/Documents/DMHCDHCS-JointPressRelease-LACare-Accusation-030422.pdf). It's getting harder to stay compliant as **requirements increase 30% every year** - many of which are frustratingly vague, leaving staff overworked.\n\nStaff spend hours sifting through 100,000 pages of policies and regulations, finding specific references on how to stay compliant. But as their tasks grow in volume and complexity, **Excel and PDF search just don’t cut it anymore**.\n\n# **Solution**\n\nReadily makes **compliance straightforward** for healthcare organizations.\n\n![uploaded image](/media/?type=post&id=83298&key=user_uploads/318129/784c1efe-98f4-4579-ab1d-57a5f6055010)\n\nWe connect their policies with regulations and **surface pertinent information** as their staff conduct research, analyze gaps, or prepare for audits.\n\n> _It used to take me 10 hours to review an All Plan Letter, and a junior staff twice as long. This saved me hours!” - Manager, Regulatory Affairs_\n\nFor any new requirement, we identify which departments, policies, and procedures are impacted and **what actions are needed to stay compliant**. This saves them hours of work and helps prevent costly violations.\n\n# **Ask**\n\nShare Readily with anyone you know in facing similar challenges keeping up with healthcare compliance or reach out to us (founders@readily.co). We'd love to help.",
        "url": "https://www.ycombinator.com/launches/LfW-readily-healthcare-compliance-made-easy",
        "votes": 262,
        "created_at": "2024-08-21T22:25:28.616Z"
      }
    ]
  },
  {
    "id": 28811,
    "name": "Casca",
    "slug": "casca",
    "former_names": [
      "CORE Ai",
      "Cascading AI"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/db0a05cec73fa1efa5d096d33cfcc210c8930955.png",
    "website": "https://www.cascading.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Casca is building AGI for Banking.\r\n\r\nOur first product is an AI-native platform transforming small business lending by enabling banks and lenders to originate 10x more loans with 90% less manual effort. We’ve found product market fit already serving top 10 US banks and are scaling our team very quickly.\r\n\r\nSmall businesses are the heart of the American economy. Many banks shy away from providing funding because of the manual effort in pursuing those deals. With us, that changes. We unlock affordable, quick bank funding for the 30M+ small businesses in the US who would otherwise be subject to the high interest rates from predatory online lenders.\r\n\r\nWe are a world-class team of banking & AI experts from Stanford, MIT & Y Combinator. We like to win and we know that the only thing between us and the title is our own ability to improve every day.",
    "one_liner": "Make Banking Magical",
    "team_size": 40,
    "industry": "Fintech",
    "subindustry": "Fintech",
    "launched_at": 1691481257,
    "tags": [
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      "Fintech",
      "Machine Learning",
      "Finance",
      "AI"
    ],
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
      "Fintech"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Growth",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": [
      {
        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "**Banking IT is broken**: 30 year old legacy systems, failing RPA projects and millions of people doing manual repetitive work. Over years in the industry, we saw how the financial industry was struggling to deal with mountains of unstructured data and failed to live up to customer expectations. Loan applicants have to go through humiliatingly slow application processes when they really needed someone to count on (no wonder look-to-book churn rates are at 65-80%) - the mania of manual workflows has to end\\\\Money runs the world. Banks are critical and we need fresh talent to shake up a $25T industry."
      },
      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "**Unlocking $1T in value for global banks** and making banking magical for billions of customers"
      }
    ],
    "url": "https://www.ycombinator.com/companies/casca",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/casca.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/cascading-ai/?viewAsMember=true",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/db0a05cec73fa1efa5d096d33cfcc210c8930955.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
    },
    "founders": [
      {
        "user_id": 1361486,
        "full_name": "Lukas Haffer",
        "title": "Founder/CEO",
        "founder_bio": "Lukas is the CEO & Co-founder of Cascading AI. He previously served as Chief of Staff for the European Market at Avaloq (a globally leading provider of core banking software with $4 Trillion in Assets managed on the platform. Lukas holds an MBA from Stanford University, where he graduated as an Arjay-Miller Scholar (top 10%).",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/lukashaffer",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2a855142800aa28353a0259b59092eec00fa218b.jpg"
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    ],
    "jobs": [
      {
        "id": 79577,
        "title": "Don't See the Perfect Fit?",
        "url": "https://www.ycombinator.com/companies/casca/jobs/b5IKSoC-don-t-see-the-perfect-fit",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$100K - $200K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 97521,
        "title": "Technical Recruiter",
        "url": "https://www.ycombinator.com/companies/casca/jobs/7mHU8Y2-technical-recruiter",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Recruiting & HR",
        "role_type": "Recruiter",
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 97523,
        "title": "Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/casca/jobs/uDbuq7M-forward-deployed-engineer",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
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        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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      },
      {
        "id": 97524,
        "title": "Head of Security & Compliance",
        "url": "https://www.ycombinator.com/companies/casca/jobs/of4eYL1-head-of-security-compliance",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
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      },
      {
        "id": 97525,
        "title": "Director of Customer Support",
        "url": "https://www.ycombinator.com/companies/casca/jobs/KAmSBwh-director-of-customer-support",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Support",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
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    ],
    "news": [
      {
        "title": "Series A announcement",
        "url": "https://www.cascading.ai/company/series-a-announcement",
        "date": "Aug 19, 2025"
      },
      {
        "title": "FIs Explore GenAI in SMB Lending Despite Customer Concerns",
        "url": "https://www.pymnts.com/news/artificial-intelligence/2024/financial-institutions-explore-generative-ai-potential-small-business-lending-despite-customer-concerns/",
        "date": "Feb 12, 2024"
      },
      {
        "title": "Cascading AI Secures $3.9 Million in Pre-Seed Funding to Revolutionize the Banking Industry with its AI-native Loan Origination System",
        "url": "https://www.prnewswire.com/news-releases/cascading-ai-secures-3-9-million-in-pre-seed-funding-to-revolutionize-the-banking-industry-with-its-ai-native-loan-origination-system-302058481.html",
        "date": "Feb 09, 2024"
      },
      {
        "title": "Bankwell Bank pilots generative AI in small-business lending | American Banker",
        "url": "https://www.americanbanker.com/news/bankwell-bank-pilots-generative-ai-in-small-business-lending",
        "date": "Feb 08, 2024"
      }
    ],
    "launches": [
      {
        "id": 73899,
        "title": "🤖 Cascading AI - Automate manual banking processes",
        "tagline": "Lending, account opening, customer service, back-office processing ... ",
        "body": "Watch our launch video [here](https://youtu.be/NFJvgmm4lIs).\n\n**tl;dr**: _Banks, credit unions, and fintechs spend billions to train and employ staff to handle complex systems and ever-growing service portfolios. Our AI agents make your teams 10x faster by navigating existing systems, surfacing the right information, and even communicating compliantly with your customers._\n\n### **🏆THE TEAM**\n\n![uploaded image](/media/?type=post&id=73899&key=user_uploads/1361486/1a6a8344-6014-46dd-81da-a861bd539b7e)\n\n**Lukas Haffer** **(CEO, Stanford GSB 23)** spent the past 4 years deploying core banking systems and outsourcing banking processes as Chief of Staff for Europe at Avaloq (one of the world’s leading core banking system providers).\n\n**Isaiah Williams (CTO, Stanford CS 22)** spent the past 4 years building conversational AI and production ML applications as a Senior ML engineer at EliseAI (one of the world’s leading conversational AI companies).\n\n### \n\n### **WHAT CAN AI DO FOR BANKING?**\n\n**Lending & Onboarding**: 300,000+ loan officers spend hours on the phone or e-mail getting applicants to complete their applications before they churn to competitors - our AI agent Leo does not give up until he has all the documents he needs.\n\n> Even if we pre-qualify more applicants, we don’t close more loans - because my loan officers can only have one conversation at a time.\n\n![uploaded image](/media/?type=post&id=73899&key=user_uploads/1361486/3b366876-5474-45ab-ba82-ffd1d6a6d59b)\n\n**Customer service**: 30,000+ daily service requests present an insane challenge to the staff of a mid-sized bank, trying to navigate multiple outdated systems and product categories - our AI agent Tom navigates their systems, surfaces the right information, and drafts responses to your clients.\n\n> Customer support has become an insane job - my teams need to navigate 15 different systems just to help 1 customer.\n\n![uploaded image](/media/?type=post&id=73899&key=user_uploads/1361486/4cc6b719-7ac1-4321-95d1-e88f98d160d0)\n\n**Back-office**: at one bank 50,000+ payments are halted every day for reasons as simple as a typo in the recipient account ID - our AI agent Anna analyzes unstructured financial information to recommend resolutions.\n\n> Even with 99% STP-rates (straight through processing) in payments, we have to manually handle thousands of exceptions.\n\n![uploaded image](/media/?type=post&id=73899&key=user_uploads/1361486/c4385ccb-a65f-4e51-9c54-0f7b8ca54a54)\n\n### **❌ THE PROBLEM**\n\nAntiquated systems and manual exception handling slow down crucial banking processes, costing banks billions. Traditional robotic process automation (RPA) could not handle unstructured information. Traditional chatbots quickly reach their limits of usefulness. And custom ML applications take months (if not years) to develop from scratch.\n\n### **✅ OUR SOLUTION**\n\n_Cascading AI agents integrate with the bank's existing IT infrastructure (in their private cloud or on-premise), learn to use their systems, and work with unstructured financial data to automate core processes._\n\n### **HOW IT WORKS**\n\n1. **Our Agents have eyes**: we use computer vision to read documents & integrate with existing systems on a UI level in addition to your APIs\n2. **Our Agents can talk**: we use conversational AI to communicate with customers or colleagues via SMS, E-Mail, Slack, Teams, secure messaging, or ticket management systems\n3. **Our Agents know banking**: we monitor agents in human-in-the-loop systems and align them with banking regulation and compliance policies\n\n### **OUR ASK**\n\n* Connect us with Banks, Credit Unions, or Fintechs looking to automate manual processes and improve customer communication.\n* Book a [demo](https://calendly.com/lhaffer/30-min-meeting?month=2023-08) or email us at [lukas@cascading.ai](mailto:lukas@cascading.ai)\n* Follow Cascading AI on [LinkedIn](https://www.linkedin.com/company/cascading-ai)",
        "url": "https://www.ycombinator.com/launches/JDv-cascading-ai-automate-manual-banking-processes",
        "votes": 21,
        "created_at": "2023-08-08T15:24:50.943Z"
      }
    ]
  },
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    "id": 28812,
    "name": "Cedana",
    "slug": "cedana",
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    "website": "https://cedana.ai",
    "all_locations": "New York City, NY, USA; Remote",
    "long_description": "Cedana (YC S23) brings hyperscaler and frontier-lab orchestration capabilities for AI workflows. Our core capability is live migration for CPUs and GPUs workloads. This increases cost savings up to 80%, accelerates time to first token 2-10x, and enables stateful reliability of training jobs even through catastrophic GPU failures. We've integrated our solution into K8s, and support Kueue and Slurm for training distributed jobs, and Kserve for serving inference.    \r\n\r\nOpenAI, Meta and Microsoft have flavors of these capabilities internally and we’re bringing them to everyone. \r\n\r\nOur vision is to transform cloud compute into a real-time, arbitraged commodity. \r\n\r\nhttps://www.cedana.ai",
    "one_liner": "Fast, reliable, reproducible AI with GPU live migration",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1689189501,
    "tags": [
      "Deep Learning",
      "Developer Tools",
      "Cloud Computing",
      "Infrastructure",
      "AI"
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    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
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      "Infrastructure"
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    "regions": [
      "United States of America",
      "America / Canada",
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/cedana",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/cedana.json",
    "year_founded": 2023,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/cedanacorp/",
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    "primary_partner": {
      "name": "Garry Tan",
      "url": "https://www.ycombinator.com/people/garry-tan"
    },
    "founders": [
      {
        "user_id": 77597,
        "full_name": "Neel Master",
        "title": "Founder",
        "founder_bio": "CEO of Cedana. Previously  CEO/co-founder of Engooden, AI-powered chronic disease management  proven to improves outcomes and lower costs for patients (Series B).  VP of Corp Development for Petra Systems  (predictive smart grid/solar company) scaled from $0-$70M ARR.  At TL Ventures ($1.6B VC fund) investing across semi, software and systems.  Built a system for large-scale, automated ML and computer vision at MIT CSAIL.  Patents and publications in AI, computer vision.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/neelmaster1",
        "x_url": "https://twitter.com/neelmaster",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d563c8b75caf8e9bc463baf0be90836b8802c73f.jpg"
      },
      {
        "user_id": 297703,
        "full_name": "Niranjan Ravichandra",
        "title": "Founder",
        "founder_bio": "Co-founder/CTO at Cedana. Previously Robotics at Shopify. Previously previously Mech/Aero, published in control systems, neuromorphic computing and satellite formation flight. ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/niranjanravichandra",
        "x_url": "https://x.com/0xnravic",
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    "jobs": [
      {
        "id": 95527,
        "title": "Forward Deployed Engineer: AI + HPC",
        "url": "https://www.ycombinator.com/companies/cedana/jobs/d1vYocG-forward-deployed-engineer-ai-hpc",
        "location": "US / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$140K - $180K",
        "equity_range": "0.10% - 0.25%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 95761,
        "title": "Systems Engineer: Linux Kernel Test and Validation",
        "url": "https://www.ycombinator.com/companies/cedana/jobs/BntWOIg-systems-engineer-linux-kernel-test-and-validation",
        "location": "US / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$140K - $180K",
        "equity_range": "0.10% - 0.30%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 73681,
        "title": "Cedana - Real-time save, move and resume for compute",
        "tagline": "Solving critical GPU performance, reliability, capacity and cost problems",
        "body": "Hey, we’re Neel and Niranjan from [Cedana](https://cedana.ai/?utm_source=cedana&utm_medium=yc&utm_campaign=launch).\n\n![uploaded image](/media/?type=post&id=73681&key=user_uploads/77597/b1097aa9-66f2-4253-8243-63e63d5c23e9)\n\n### **The Problem**\n\nLosing work because of infra problems is painful. Imagine you have a long-running compute job and the instance fails. Your 20-hour job finished but because your pipeline was misconfigured you have to restart it from scratch.  \n\nBurning cash is stressful.  Poor utilization results in your inference jobs costing more.  If you’re managing a cluster of 1,000s of GPUs, poor utilization leaves money on the table even while demand is skyrocketing.    \n\nCold start times impact your customer satisfaction and their reliance on your solution.  \n\nLimited GPU access makes it difficult for you to innovate, and finding GPUs can be a full-time job of constantly identifying, evaluating, and adapting different vendors.    \n\n### **Our Solution**\n\nCedana is real-time migration for compute.  We automatically schedule and move workloads across instances and vendors without interrupting progress or breaking anything.\n\nThere are several critical benefits:\n\n* Utilization is maximized to save costs and eliminate idle resources.  \n* Job-level SLAs dynamically allocate compute between inference and training, prioritizing costs, latency, and performance based on preferences.  \n* Avoid re-running jobs from scratch due to infra, pipeline, or memory failures. Jobs continue their progress in the event of infra failure or spot revocation.\n* Access planet-scale compute through vendor aggregation\n* Solve the cold start problem by enabling fast auto-suspend-resume \n* Spot management that migrates and provisions new instances automatically upon revocation or failure.\n\n  \n\nOpenAI, Meta, Microsoft, and Databricks employ some of these methods internally and we’re bringing them to everyone.\n\n### **How it works**\n\n[Cedana](https://cedana.ai/?utm_source=cedana&utm_medium=yc&utm_campaign=launch) is available as an [open-source package](https://github.com/cedana/cedana-cli) and as a [managed service](https://www.ycombinator.com/launches/JAP-cedana-real-time-save-move-and-resume-for-compute). \n\n* Cedana needs no code modification and works with Linux processes or containers\n* Current use cases and customers range from AI Training and Inference, High-Performance Compute, DevTools, ML Ops platforms, and Computational Biology.\n* It automatically provisions and manages infra with your existing credentials. Our managed service can leverage our vendor relationships if preferred.\n\nHere’s a 1m30s [demo video](https://www.youtube.com/watch?v=KC4STzSQ_DU)\n\n### **Our Team**\n\nOur team has built real-world robotics and large-scale computer vision systems across a number of places including 6 River Systems/Shopify and MIT.  We’ve led the development, commercialization, and scale of NLP for clinical workflows used in the delivery of patient care.   Our team’s publications span computer vision, computer graphics, robotics optimization, and spacecraft/aerospace controls, with patents in AI use cases for grid energy management, optimal battery control, and healthcare. \n\n### **We kindly ask**\n\n* Give Cedana a try! [Check out our Github Repo](https://github.com/cedana/cedana-cli)\n* Please support us with a Github star",
        "url": "https://www.ycombinator.com/launches/JAP-cedana-real-time-save-move-and-resume-for-compute",
        "votes": 26,
        "created_at": "2023-08-01T22:03:04.520Z"
      }
    ]
  },
  {
    "id": 28817,
    "name": "Every",
    "slug": "every",
    "former_names": [
      "Every, Inc."
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d6d95a7e52c48aa0ca308da9a47334c29fb6c7a4.png",
    "website": "https://every.io/",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "Setup your entire back-office in one place.\r\n- Banking: Bank Accounts, Corporate Cards, Payments, Treasury\r\n- Bookkeeping & Tax: Keep you books in order and file income taxes at the end of the year\r\n- Payroll and Benefits: US Payroll in 50 states, US Contractors, International Contractors. Health, Vision, Dental, 401k Benefits",
    "one_liner": "Banking + Payroll/Benefits + Bookkeeping + Tax in one place",
    "team_size": 12,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1684370468,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Fully Remote"
    ],
    "stage": "Growth",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/every",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/every.json",
    "year_founded": 2021,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/everybanking/",
    "x_url": "https://twitter.com/EveryBanking",
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    "cb_url": null,
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d6d95a7e52c48aa0ca308da9a47334c29fb6c7a4.png",
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    "primary_partner": {
      "name": "Garry Tan",
      "url": "https://www.ycombinator.com/people/garry-tan"
    },
    "founders": [
      {
        "user_id": 886715,
        "full_name": "Rajeev Behera",
        "title": "Founder",
        "founder_bio": "Rajeev was the co-founder and CEO of Reflektive, where he raised $100 million in venture capital and built the organization to 250 employees. Reflektive was ranked the 13th fastest growing company in North America by Deloitte in terms of revenue growth.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/rajeevbehera",
        "x_url": "https://twitter.com/rajeevbehera",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/716b93c4143c2d509a3bb3dfbeb82078182ecfae.jpg"
      },
      {
        "user_id": 1360838,
        "full_name": "Barry Peterson",
        "title": "Founder",
        "founder_bio": "",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/barrympeterson",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/76c838afd58feaba649f80b2ded55e28e4bafbe8.jpg"
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    ],
    "jobs": [],
    "news": [
      {
        "title": "Full-stack back-office startup Every.io raises $9.5M",
        "url": "https://www.axios.com/pro/fintech-deals/2023/11/16/back-office-startup-everyio-9-million-seed",
        "date": "Nov 16, 2023"
      }
    ],
    "launches": [
      {
        "id": 105229,
        "title": "Every Benefits: Stop paying for health insurance your team doesn't use",
        "tagline": "The smarter way to offer great benefits — without overpaying for coverage employees don't need",
        "body": "**TLDR**\n\nHey all, I run Every, the all-in-one HR and Finance platform. We are currently serving 2100 customers, including over 300+ YC startups.\n\nToday we are launching Every Health Benefits. We combined our HR and Fintech stack to build a new way of funding health benefits that **saves the average startup $1,200 per employee per year** - while keeping the same carriers, networks, and employee experience.\n\nLaunch video: <https://www.youtube.com/watch?v=T59_0OouTEU&amp;feature=youtu.be>\n\n**Problem**\n\nHealthcare is the second largest cost for many startups behind payroll, and every year costs are increasing while insurance coverage is staying the same or decreasing. Costs have climbed 24% over the last five years, according to[ KFF's Employer Health Benefits Survey.](https://www.kff.org/health-costs/2024-employer-health-benefits-survey/)\n\nI have been the CEO at a startup for 10+ years now. The first few times I renewed benefits (at my previous startup) I thought my HR vendor was ripping me off. I don’t love being taken advantage of, so I got pretty upset and immediately started looking for a new vendor. When I did, I realized prices went up everywhere, and I was stuck paying thousands of dollars more for a product that wasn’t even improving.\n\nThe math is broken, and I was paying a lot of money is for benefits I knew my team was barely using.\n\nMost startup teams skew young and healthy. The average startup employee never comes close to hitting their deductible, but given the war for talent, startups have to offer expensive Gold and Platinum level plans.\n\n**Solution**\n\nEvery Benefits flips the model. Instead of paying higher premiums upfront to cover employee healthcare costs, employers choose a lower-premium plan and pair it with an employer-funded reimbursement arrangement. **Employees are reimbursed for eligible expenses as they're incurred**—so you are paying for benefits as costs are incurred, instead of before.\n\nThe result? Silver plan that feels like Gold. A Gold plan that feels like Platinum. Same carriers. Same networks. A $0 effective deductible experience for employees—at a meaningfully lower cost for employers.\n\n**Savings**\n\nFor a 25-person company with average characteristics, this reduces annual benefits spend from approximately $261,000 to $230,000—about $31,000 in a typical year.\n\n* **50 employees:** approximately $62,000 in typical-year savings\n* **100 employees:** approximately $125,000 in typical-year savings\n* **Average savings:** up to 12% on health benefits spend\n\n_Savings figures are based on a 25-employee company on a small group, fully insured Platinum PPO. Actual savings depend on plan selection and utilization and may vary. Every Benefits is available in select states; see [every.io](http://every.io) for current availability._\n\n**Ask**\n\nIf your company might be interested in this, I’d love to chat with you, please email me at [sales@every.io](mailto:sales@every.io).\n\n![uploaded image](/media/?type=post&id=105229&key=user_uploads/886715/ae7fade5-6ada-4e60-ac4c-dfc2329532d0)\n\n",
        "url": "https://www.ycombinator.com/launches/RNF-every-benefits-stop-paying-for-health-insurance-your-team-doesn-t-use",
        "votes": 43,
        "created_at": "2026-07-10T20:04:50.375Z"
      },
      {
        "id": 89698,
        "title": "Every: Payroll that saves founders billions of dollars in fines",
        "tagline": "Seamlessly hire in the US and 200+ countries around the world with compliance on autopilot",
        "body": "TLDR: We've built a [payroll platform](https://bit.ly/4jkjsUM) with built-in compliance\\*\\* that allows you to seamlessly hire in the US and 200+ countries around the world. Our platform frees founders from HR compliance headaches so they can focus on building their product.\n\n[Payroll Sizzle Reel](https://www.youtube.com/watch?v=CS8htsL6t_k)\n\n**The Problem**\n\n**Founders aren't payroll experts, but the IRS doesn't care. Each year, businesses pay billions in payroll penalties.** US business owners face \\~$6 billion in annual IRS penalties because most founders aren't payroll experts and struggle with compliance tasks.\\\n\\\n**The Every difference:** We perform manual compliance reviews before tax submission. After processing \\~$60M in payroll, our customers have paid $0 in late/incorrect tax penalties.\\\n\\\n**New state, new employee, new headache.** Hiring in a new state means hours navigating unfamiliar government websites and processes—often including frustrating phone calls—to set up tax accounts and foreign qualifications before your new hire can get paid.\n\n**The Every difference:** we set up your state tax accounts for you, and can also automate foreign qualifications, saving you many hours of painful busywork, ensuring not only that you are state tax accounts are registered properly, but proactively making sure your business is compliant, reducing unnecessary stress or possible fines\n\n**Incumbent payroll systems are built for traditional SMBs, not tech startups.** Incumbent solutions were designed for traditional businesses with conventional workforces—not for tech startups with distributed teams, complex equity structures, and growth trajectories that can take you from three employees to thirty in a matter of months.\n\n**The Every difference**: Built exclusively for tech startups, not restaurants or retailers. We've invested deeply in creating an intuitive experience that saves you time and provides clarity—something impossible for competitors trying to serve every industry at once.\n\n**Our Solution**\n\n![uploaded image](/media/?type=post&id=89698&key=user_uploads/886715/b2b84836-5cd9-440a-92f1-b86210b52c6d)\n\nWe provide a **comprehensive payroll solution** designed specifically for **tech startups**. We handle the complexity of payroll, compliance, and global hiring so you can put HR on autopilot.\n\n* **We handle all the compliance stuff automatically** - As founders ourselves, we built the solution we wished we had: payroll taxes, offer letters with CIAAs, W-9 collection, and 1099 filing—all on autopilot. No more administrative headaches stealing your focus or surprise fines derailing your momentum.\n* **We handle state tax account setup -** We handle state tax registrations and filings, saving our clients hours of work and helping them avoid penalties and paperwork.\n* **We've made international hiring simple** - As founders, we needed a simpler way to hire internationally. Now you can bring on team members in 200+ countries through our EOR solution or work with international contractors using country-specific contracts—all managed in one place. No legal research, no compliance surprises, just building your best team regardless of borders.\n* **We offer concierge support** - Every client gets their own Slack connect channel with our in-house specialists. These aren't outsourced support agents - they're actual payroll, benefits, and compliance experts who know your specific situation.\n* **Compete for talent, protect your runway** - Our tech-specific health benefits packages are built for the modern startup. We've navigated these waters ourselves and created options that match what the giants offer without their massive budgets. A dedicated specialist will help you find the sweet spot between competitive benefits and financial sustainability.\n\n**What YC Founders Say About Every:**\n\n> We had some complicated situations (e.g. payroll for contractors), and Every handled them super well. We were literally set up within an hour for contractors and within a day for W2 payroll\n\n> FYI we started with Rippling  but it was a nightmare to use. It's clearly not optimized for small teams with low overhead. We ended up switching to Every. Pricing is similar but you get a significantly simpler product and founder support, and you can email a human who responds promptly. Highly recommend!\n\n> I initially tried to do Rippling and Gusto but got turned off by the friction with onboarding or with state filings. Every was 10 minutes (probably less)\n\n> Haven't thought about payroll at all since onboarding onto Every. Rajeev and team are great!\n\n**Ready for Payroll That Actually Works for Founders? Get Started Today!**\n\nVisit [Every.io](https://bit.ly/4cGEESl) today to request a personalized tour. Getting started is remarkably fast—our dedicated experts will guide you through each step of setting up your tailored payroll system with built-in compliance, international capabilities, and ongoing support. From first click to fully operational in days, not weeks.\n\n**Our Ask + $150 Referral Bonus**\n\nKnow founders struggling with payroll headaches? Introduce them to Every! We'll give you a **$150 referral bonus** for every founder who signs up for our payroll service. Simply email [**sales@every.io**](mailto:sales@every.io) with your introduction. Help your founder friends save time while earning rewards!\n\n**About** [**Every.io**](https://bit.ly/4cGEESl)\n\n[Every.io](https://bit.ly/4cGEESl) is a Series A company that has raised $32 million in venture funding from Y Combinator and Redpoint. [Here’s an article](https://techcrunch.com/2024/09/12/why-y-combinator-companies-are-flocking-to-new-banking-hr-startup-every/) from Techcrunch for our $22.5 million Series A announcement.\n\nEvery was founded by Rajeev Behera and Barry Peterson.\n\nRajeev was the co-founder and CEO of Reflektive, an HR SAAS company that he scaled to 250 employees and raised $100M from a16z, Lightspeed, and TPG.\n\nBarry was the Director of Engineering at Reflektive and has decades of experience scaling engineering teams at startups and Fortune 500 tech companies.",
        "url": "https://www.ycombinator.com/launches/NKk-every-payroll-that-saves-founders-billions-of-dollars-in-fines",
        "votes": 24,
        "created_at": "2025-04-21T15:57:54.077Z"
      },
      {
        "id": 87009,
        "title": "Every.io: Incorporate your startup for $0",
        "tagline": "Lawyer-quality incorporation for free, in under a week.",
        "body": "TLDR: We’ve built a **completely free incorporation service** to help tech founders form their startups as Delaware C-Corps - without paying $5,000 in legal fees. We also handle your entire back-office setup (banking\\*, payroll, accounting, and taxes) in under two hours, saving you 20+ hours on average so you can focus on building your product.\n\n### **The Problem**\n\nMany first-time founders discover - often too late - that incorrect or incomplete incorporation documents can raise red flags and make you look unprofessional in front of investors. Fixing these mistakes can cost thousands of dollars, lead to major delays when raising capital, and damage your reputation right when you need investor confidence the most.\n\n### **Our Solution**\n\n![uploaded image](/media/?type=post&id=87009&key=user_uploads/886715/adbc5bc1-27bf-440a-a8a9-f2afbb222fde)\n\n**Every** provides **lawyer-quality** incorporation documents at no cost, ensuring your startup is **investor-ready** from day one. In addition, we set up your **entire back office**—bank account\\*, payroll & HR, accounting, and taxes—so you don’t waste time juggling multiple vendors.\n\n* **Lawyer-quality incorporation, for free.** Instead of paying $5,000 to incorporate your startup with a lawyer, you get the same quality - and it is free. We have already incorporated 50+ Y-Combinator and Antler companies that successfully received investment with zero issues or need for legal re-work.\n* **Structure your stock to maximize your returns.** We provide clear guidelines for founder vesting, including a double-trigger acceleration clause to protect your equity if your startup is acquired and you’re terminated. \n* **Amazing Deals.** Once you incorporate and open your account with Every, you unlock a **$3,000 bonus** if you raise **$500K or more**, plus **3% cashback** on all corporate card spend.\n* **Save 20+ hours setting up your entire back office.** [Every.io](https://www.every.io/?utm_campaign=6576190-Launch%20YC&utm_source=Launch%20YC) doesn’t just offer incorporation. We set up your bank account\\*, payroll & HR, accounting, and taxes—everything you need to run your startup for the first five years. Usually, you would need to setup four different vendors and spend 25+ hours to get it all up and running. With Every, it will take less than 2 hours to set up everything.\n\n### **How to get started**\n\n[Visit Every.io](https://www.every.io/contact?utm_campaign=6576190-Launch%20YC&utm_source=Launch%20YC) to see how you can form your tech startup for **$0** and streamline your entire back office.\n\n![uploaded image](/media/?type=post&id=87009&key=user_uploads/886715/bc0b5a47-9cf5-49ed-9d78-224beaffb6d9)\n\n### **Our Ask + $150 Referral Bonus**\n\nIf you have any friends starting a company that needs to be incorporated, please let them know about us!  If you introduce a founder friend who incorporates with us, we’ll give you a **$150 referral bonus**. Just email [**sales@every.io**](mailto:sales@every.io) to introduce them to us 🙂\n\n**About **[**Every.io**](https://www.every.io/?utm_campaign=6576190-Launch%20YC&utm_source=Launch%20YC)\n\n[Every.io](https://www.every.io/?utm_campaign=6576190-Launch%20YC&utm_source=Launch%20YC) is a Series A company that has raised $32 million in venture funding from Y Combinator and Redpoint. [Here’s an article](https://techcrunch.com/2024/09/12/why-y-combinator-companies-are-flocking-to-new-banking-hr-startup-every/) from Techcrunch for our $22.5 million Series A announcement.\n\nEvery was founded by Rajeev Behera and Barry Peterson.\n\nRajeev was the co-founder and CEO of Reflektive, an HR SAAS company that he scaled to 250 employees and raised $100M from a16z, Lightspeed, and TPG.\n\nBarry was the Director of Engineering at Reflektive and has decades of experience scaling engineering teams at startups and Fortune 500 tech companies.\n\n\\*Every is not a bank. Banking services are provided by Thread Bank, Member FDIC. The Every Visa Business Debit Card is issued by Thread Bank, pursuant to a license from Visa U.S.A. Inc., and may be used anywhere Visa cards are accepted.",
        "url": "https://www.ycombinator.com/launches/MdN-every-io-incorporate-your-startup-for-0",
        "votes": 58,
        "created_at": "2025-01-21T17:31:25.705Z"
      }
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    "long_description": "Prosper builds AI phone agents for healthcare providers. Our agents automate manual, time-intensive workflows like patient scheduling, balance reminders, claims status checks, benefit verification, and prior authorizations. We integrate with 80+ EHRs, go live in 3 weeks, and offer a no-code interface for customization.\r\n\r\nToday, Prosper handles thousands of daily calls for dozens of providers, reducing costs by 50% and tripling productivity. We’re building the AI-first operating system for healthcare to eliminate the $200B lost to administrative overhead every year.",
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        "full_name": "Xavier de Gracia",
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        "full_name": "Josep Mingot",
        "title": "Founder",
        "founder_bio": "Co-founder of Prosper,  building AI agents to fix healthcare's $200B admin burden. Previously Product leader at Coverwallet (acq. by Aon), where I led the Insurance Health initiative that drove the acquisition, scaling the team from 3 PMs to 40+ and 200+ engineers. Co-founder of Arcvi, an AI consulting firm across Insurance, Health and Banking - top 2% in the Data Science Bowl for lung cancer image prediction. Former MIT Computer Vision research assistant.",
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        "title": "Prosper AI lands $30M backed by Andreessen Horowitz to build AI workforce for healthcare operations | Fierce Healthcare",
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    "name": "Electric Air",
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    "long_description": "Electric Air is a tech-enabled contractor for heat pump installations that cuts costs by 60%. Heat pumps are the most efficient way to heat American homes with a $53B annual market opportunity. ",
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      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
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      {
        "user_id": 296984,
        "full_name": "Jeremy Osborne",
        "title": "Founder",
        "founder_bio": "Jeremy is the co-founder and CEO of Electric Air, on a mission to lower the cost of heat pumps for a brighter future. He is a renewable energy engineer with over a decade of experience working on heat pump systems. He's a two-time Y Combinator founder, having started Boundary Layer Technologies (W19). ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/jezosborne",
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      {
        "user_id": 1004734,
        "full_name": "Chris Mui",
        "title": "Founder",
        "founder_bio": "Former aerospace and Tesla engineer, passionate about building better residential heat pumps. ",
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        "title": "Senior Full stack Engineer",
        "url": "https://www.ycombinator.com/companies/electric-air-2/jobs/0zeoBWa-senior-full-stack-engineer",
        "location": "Redwood City, CA, US / Remote (CA; MX; BR; AR; US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$140 - $180",
        "equity_range": "0.25% - 1.00%",
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        "id": 97430,
        "title": "Heat Pump Sales Engineer",
        "url": "https://www.ycombinator.com/companies/electric-air-2/jobs/w95jORY-heat-pump-sales-engineer",
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        "location": "Redwood City / Remote (US)",
        "type": "Full-time",
        "role": "Operations",
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        "salary_range": "$100K - $250K",
        "equity_range": "0.50% - 5.00%",
        "experience": "5+ years",
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    "launches": [
      {
        "id": 73101,
        "title": "Helios - Affordable and efficient heat pump installations",
        "tagline": "Helios replaces your home's furnace with a heat pump, saving you money and helping the environment!",
        "body": "**tl;dr** - Heat pumps are the most efficient way to both heat and cool your home. [Helios](https://www.heliosclimate.io/?utm_source=Y+Combinator&utm_medium=Social&utm_campaign=launch_YC) installs high quality residential heat pump systems at an affordable price with a painless buying process. \n\nHey everyone, it’s Jeremy and Shreyas and we’re building [Helios](https://www.heliosclimate.io/?utm_source=Y+Combinator&utm_medium=Social&utm_campaign=launch_YC)!\n\n![](https://lh6.googleusercontent.com/Krmgi7AuLnqz1qafZo7MXpOzirhC_U7RftB6VAVKFXTdOPERsM39ULsH2KTh2DI1p8RFQIN3nPSxUBENVx_mRqUg_sCv86uaWCwQk7yW1nvr7f-rQ-VbYvTdDMfvbRORdpDyPKM33k5C4Pk3_-ni_A)\n\n**What are heat pumps and why do we need them?**\n\nUS Residential space heating alone represents roughly 1% of total global emissions. This is because the vast majority of homes in the US are still heated by burning dinosaurs in a gas furnace. Fortunately, heat pumps are a proven and mature technology to transition buildings to clean, renewable electricity.\n\nA heat pump is like an air conditioner that can run in reverse, both heating and cooling your home. Traditional air conditioners take heat from inside your home, transfer it into refrigerant, and exhaust it outside. Heat pumps have a special valve that allows them to do the opposite, transferring heat from outside your home to inside. They’re able to comfortably heat your home even when it’s incredibly cold outside. Because heat pumps move heat rather than generating it, they are mind bogglingly efficient - with efficiencies up to 400%! Not only are they better for the planet, but they can save you money on your energy bills.\n\nMost homeowners can replace their existing furnace with an efficient heat pump system today. They’re also a great way to add air conditioning to homes that previously didn’t have it.\n\n**Why don’t more homes have them?**\n\nCost is the largest barrier to heat pump adoption. Installing a heat pump system in a typical American home can cost $15-30k! At these prices, gas furnaces (which typically cost dramatically less) sadly remain the default choice.\n\nHowever, heat pumps are extremely common in the rest of the world. In Australia, a homeowner would pay around half the price for a similar system!\n\nMore than half of the cost for a heat pump in the US comes from installation. Fortunately, this is something that we are uniquely positioned to tackle. Helios is installing heat pumps in the US for a fraction of the cost.\n\n![](https://lh4.googleusercontent.com/6v-jet006MWaOi_8RCCUMCvrHgP4cVUol7e9z2qKPGg8Rd2RD3rDo5Ta2r7wAW_NCXZQD7BUcW4781cwNrXn2S6VrHCy_YZRVnQ9nWWSzLCbBM5SsAwtH-8P6lpoCrrWOFu65ClNoYATorVxLTHc2g)\n\n**Who are we?**\n\nJeremy is a repeat Y Combinator founder and spent 10 years designing and building heat pump systems. Shreyas is a former rocket propulsion engineer from Blue Origin and SpaceX, with experience dramatically decreasing the build time of complex rocket engine assemblies. \n\nWe’re applying these skills to the large-scale deployment of low cost heat pumps. We’re simplifying the installation process to enable non-specialized labor (think car mechanics or plumbers) to install these systems.  Prefabrication and kitting mean that the right tools and parts are staged for each part of the installation, and our technicians spend less time at the job site. All of these things translate into dramatically cheaper heat pumps for our customers.\n\n**Our ask**\n\nSign up for a heat pump installation with Helios. Please [**fill out our form**](https://www.heliosclimate.io/get-a-quote) and get started. \n\nYou might: \n\n* Have an aging furnace or air conditioner that is ready for replacement (typical lifespans are \\~15 years)\n* Be looking to add air conditioning for the first time\n* Be looking to increase comfort in a single room that gets too hot or cold\n* Care about the climate and want to transition away from fossil fuels!\n\n![](https://lh5.googleusercontent.com/ZuqdiiQiY4GFG6Mi2h7tKIXmr47AKlHqNDtqw6-H7iTIzsQflqaJpET4vLzFhrf3W4Uw-8RyrSAtMrpu6U-zTni6aA1gwqDirjvBFQiph53gx-uU_iDYKawuwzwcrsO5zZqyd6D_kQ6NAQ0jblHn9w)\n\nWe can heat and cool a studio or single room for a **flat price of $4,790** including all parts, labor, and permitting. Entire home heating and cooling packages start at **$14,990.** These systems can work with existing ducts. We are working in concert with our local contracting partners who are fully licensed and insured.\n\n**Please **[**fill out our form**](https://www.heliosclimate.io/get-a-quote)** if you are interested in installing a heat pump in your home, or pass it along to someone who might be! We have a limited number of installation slots for this summer that are quickly filling up.**",
        "url": "https://www.ycombinator.com/launches/J13-helios-affordable-and-efficient-heat-pump-installations",
        "votes": 43,
        "created_at": "2023-07-15T22:58:31.662Z"
      },
      {
        "id": 69884,
        "title": "⚡Electric Air - Tesla for heat pumps",
        "tagline": "Modern heat pump technology with HEPA, sold direct to homeowners",
        "body": "Hi YC! I'm Chris, founder of Electric Air.\n\nElectric Air is building the Tesla of home heating and cooling, with a complete solution of modern heat pump technology and direct-to-homeowner purchase and install experience.\n\n![uploaded image](/media/?type=post&id=69884&key=user_uploads/1004734/c74e4d4a-7304-4605-ac4c-aff2621f3b71)\n\nI’ve spent my whole career building and designing thermal systems - first in aerospace, then at Tesla working on Model 3 and Semi Truck, and most recently in vertical farming. I got really excited about residential heat pumps when I realized that we’re about to go through a huge transition where the 80M single family homes in the US replace their furnaces with heat pumps. \n\n**Interested? Check out the Electric Air launch site** [**electricair.io**](https://electricair.io?utm_source=yc&utm_medium=web&utm_id=launch_yc) **and pre-order a system for your home. I’d also love to hear from homeowners about your pain points around heating, cooling and ventilation. You can email me at **[**chris@electricair.io**](mailto:chris@electricair.io)** .**\n\n### **What’s a Heat Pump? 🌎**\n\nA heat pump is a really efficient, all electric replacement for your home’s furnace and air conditioner. It uses refrigerant and a compressor to move energy to and from your living spaces. Residential heating makes up 10% of US energy use, and heat pumps are the best option for shifting this segment from fossil fuels. Heat pumps can also save homeowners on their monthly utility bills vs heating with natural gas, propane, fuel oil, and electric resistance. And thanks to the popularity of vapor injection systems, heat pumps now work well even in the cold climates of the Northeast.\n\n### **The Problem**\n\n* The homeowner experience sucks because the integration of thermostat, heat pump equipment and air quality systems is terrible. (Nothing works together well, the best thermostats are not fully compatible with efficient heat pumps.)\n* The process of getting a heat pump is painful, including finding a trustworthy contractor, sorting out financing, and wading through rebates\n* Contractors struggle with installs because of the difficulty of properly sizing the system, and understanding if your duct work is compatible with a heat pump\n\n### **The Solution 🔥**\n\nElectric Air is a full software and hardware solution:\n\n* Smart thermostat with PM2.5 and CO2 monitoring that triggers whole-home HEPA filtration and fresh air intake \n* Thermostat algorithm uses grid, weather and time-of-use rate plan signals to reduce monthly utility bills\n* A more powerful air handler and contractor software allows for more ducted installs\n* A beautiful outdoor condenser means you don’t have to hide this device in an alley\n* Seamless online sales experience - homeowners can order the system from the Electric Air website and get connected with financing, rebates and a trusted contractor\n\n### **Questions?**\n\nShoot me a message at [chris@electricair.io](https://mailto:chris@electricair.io)",
        "url": "https://www.ycombinator.com/launches/IBA-electric-air-tesla-for-heat-pumps",
        "votes": 39,
        "created_at": "2023-03-02T21:07:30.661Z"
      }
    ]
  },
  {
    "id": 28823,
    "name": "Craftwork",
    "slug": "craftwork",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a808b8722de9d2ecbb9fc19cae6ba864f6358f23.png",
    "website": "https://craftwork.com/",
    "all_locations": "Charlotte, NC, USA",
    "long_description": "Craftwork is a full-service home painting company that uses software to dramatically improve the homeowner and operator experience.",
    "one_liner": "Digital-native home painting franchise",
    "team_size": 50,
    "industry": "Real Estate and Construction",
    "subindustry": "Real Estate and Construction -> Construction",
    "launched_at": 1689608644,
    "tags": [
      "Proptech",
      "Home Services",
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    "url": "https://www.ycombinator.com/companies/craftwork",
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        "title": "Charlotte tech startup at Y Combinator raises $4 million",
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        "id": 73128,
        "title": "🏠 Craftwork - The easy way to paint your home",
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        "body": "![uploaded image](/media/?type=post&id=73128&key=user_uploads/193855/6ebcaff5-3082-47ba-a81f-b42c8d54de57)\n\n[**Craftwork**](https://craftwork.com) is a home painting company that builds software to make it easy for homeowners to book and manage their home painting projects. We then deploy trained, full-time employees to paint our customers’ homes.\n\n**The Problem**\\\nToday, it’s hard for homeowners to locate and hire home service providers, because contractors don’t use technology and rely on outdated employment models to operate their businesses.\n\nAs a result, the process for homeowners to complete any home project is riddled with challenges - from tediously searching for a reputable contractor, to coordinating multiple walkthroughs of their home, reviewing quotes, selecting a provider, agreeing to terms, scheduling the work, and enduring price and timeline changes before the work is finally completed - each step is frustratingly manual, unpredictable, and outdated.\n\n**The Solution**\\\nAt Craftwork, our coupling of a vertically integrated business model with best-in-class software allows us to deliver an unparalleled experience to homeowners.\n\nOur unique approach puts homeowners in control - from getting an estimate online with transparent pricing, to scheduling their projects and exploring our color selection tools, to meeting the team that will paint their homes and understanding what to expect when we arrive - we’re establishing a standard of transparency, accountability, and trust that simply can’t be matched.\n\nAs homeowners we’ve experienced first-hand just how difficult it can be to hire quality contractors. We believe that by building software to simplify the homeowner experience and streamline internal operations, we’ll disrupt the $500B+ home services market and grow to become the largest residential general contractor in the country.\n\n**The Team**\\\nWe’re all former founders and early-stage team members with experience successfully scaling operations-heavy technology startups.\n\n* Tim is a two-time YC founder whose last startup [Odeko](https://bookface.ycombinator.com/company/12565) (S19) is currently #115 on Y Combinator’s list of [top companies](https://www.ycombinator.com/topcompanies/valuation).\n* Mike was the founder of [Smpl](https://www.crunchbase.com/organization/smpl-llc), a co-working management app that was acquired in 2020.\n* Suzanne led people operations at two YC startups - [Plato](https://bookface.ycombinator.com/company/1048) (W16) and [CareRev](https://bookface.ycombinator.com/company/1188) (S16) - where she managed large scale team growth.\n* Joey built and sold his OOH advertising company before scaling [Zoomo](https://www.crunchbase.com/organization/bolt-bikes) from a seed-stage company to the global leader in their category.\n\n**The Ask**\\\nIf you have friends or family in the Charlotte, NC area we would really appreciate you sharing Craftwork with them. We’re offering $100 off when homeowners book a project with us by August 31st - they can go to [craftwork.com/summer](http://craftwork.com/summer) to get an estimate for their projects!\n\n**Read more on** [**Axios**](https://charlotte.axios.com/334157/charlotte-tech-startup-at-y-combinator-raises-4-million/?fbclid=IwAR0Y850wsC9Weyxi1vKuQ4P3No9Wutt0bHxvZ8CiN9jct_ir9rs72o59144_aem_AVkl16No6389ZDQC1Dxg81tOtEZknW5_9D3uqrNuctS7ZyWOxUVX0Hic-xuW1qk3l2I&mibextid=Zxz2cZ)",
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        "title": "Solve Intelligence Raises $40M Series B to Build AI for Patents and Launches Charts.",
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      {
        "id": 72326,
        "title": "💡 Solve Intelligence - Write patents with AI",
        "tagline": "Reduce the cost and time to write patents.",
        "body": "**Tl;dr:** At [Solve Intelligence](https://www.solveintelligence.com/?utm_source=YC+Launch&utm_medium=Main&utm_campaign=Launch&utm_id=SolveIntelligence) we use AI to help you write high-quality patents quickly. We do this by providing a simple in-browser document editor that any patent attorney or inventor can start using straight away. [Connect with us today](https://www.solveintelligence.com/contact?utm_source=YC+Launch&utm_medium=Contact&utm_campaign=Launch&utm_id=SolveIntelligence).\n\n---\n\n![uploaded image](/media/?type=post&id=72326&key=user_uploads/1367673/ba232c74-2217-4a90-b551-4137904874ed)\n\nFrom left to right: [Solve Intelligence](https://www.solveintelligence.com/?utm_source=YC+Launch&utm_medium=Main&utm_campaign=Launch&utm_id=SolveIntelligence) co-founders [Angus](https://www.linkedin.com/in/angus-parsonson-24935914b/), [Sanj](https://www.linkedin.com/in/sanj-ahilan-844b33137/), and [Chris](https://www.linkedin.com/in/chris-parsonson-381830a3/) (Angus’ brother) in San Francisco.\n\n---\n\n### **What are we building?**\n\nWe are building an in-browser document editor powered by AI to help inventors and attorneys write patents. Our product can help with all stages of the patent life cycle, from drafting and filing to prosecution and opposition. For further details on what our product offers, refer to [this analysis on the top 5 AI tools for patents.](https://www.solveintelligence.com/blog-posts/top-patent-analysis-tools)\n\n### **Product Snapshot**\n\nGiven your tech and prior art, use AI to draft a patent:\n\n![uploaded image](/media/?type=post&id=72326&key=user_uploads/1367673/f221a3d5-21ff-4171-88e3-01301a84b9a7)\n\nChat with the AI and use it to help edit the patent:\n\n![uploaded image](/media/?type=post&id=72326&key=user_uploads/1367673/6707811a-c00a-4eb9-a729-94827e8bfefa)\n\n### **Why are we building it?**\n\nFrom drafting to grant, a worldwide patent costs $60K on average and can take years to obtain. If the patent is contentious, then costs can get much higher ($100K-1M+). It's a slow, complicated, and expensive process which can block innovation and delay time-to-market.\n\nThere's a need for software solutions which can make the patenting process more efficient.\n\nMost existing intellectual property software focuses on _search_ (finding related technology). However, the _generative_ steps of drafting a patent and responding to examiners and competitors make up 90%+ of the costs.\n\nEnter AI, which now has the ability to help with generative patent tasks. At Solve Intelligence, we have assembled a world-class team of AI researchers and software developers. Our goal? To leverage and build on recent AI breakthroughs to transform the patenting process.\n\n### **Who are we building for?**\n\nOur product is for any tech company or inventor striving for swift, high-quality patents at below-market rates. It’s also a valuable tool for patent law firms looking to increase their bandwidth, engage more personally with their clients, and ensure that the patents they file are of high quality. For further details on how our product can help with patent drafting, refer to [this analysis of the top 6 patent drafting tools](https://www.solveintelligence.com/blog-posts/best-ai-patent-drafting-tools).\n\n### **Our ask**\n\n[Contact us](https://www.solveintelligence.com/contact-us) to:\n\n* **book a full demo** and **give us your feedback**\n* connect us to **patent attorneys** in your network\n* connect us to **tech inventors** in your network\n\n---\n\n---",
        "url": "https://www.ycombinator.com/launches/IoY-solve-intelligence-write-patents-with-ai",
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        "title": "Airgoods – the wholesale marketplace for food & beverage",
        "tagline": "We connect specialty food stores with their next best selling products",
        "body": "**TLDR:** [**Airgoods**](https://airgoods.com/) is a wholesale marketplace that makes it easy for specialty food stores to buy their inventory in one place. Today, we focus on connecting these stores with over 1,000 non-alcoholic and functional beverage products.\n\nHi everyone! We’re Aaron, Elian and Paolo – the team behind Airgoods. We’re on a mission to level the playing field for specialty food stores by offering tools previously only available to big box chains.\n\n![uploaded image](/media/?type=post&id=73226&key=user_uploads/797737/38498184-4bb5-425f-8025-35e02960e710)\n\n### 🤔 **The Problem**\n\n* **Specialty food stores struggle to stay up to date on new and trending products.** Today, most rely on social media platforms like Instagram for discovery. Once they see a product they like, they send the brand a DM to ask for a sample – which can take weeks to months to receive.\n* **To purchase inventory, they have to manage dozens of direct brand relationships.** That means placing orders and coordinating payments over email, phone calls and texts.\n* **Best sellers often go out of stock.** At most specialty stores, reorders only happens when the buyer sees that the shelf is empty. This means there are days – if not weeks – that go by with best sellers being out of stock.\n* **Most brands don’t have the resources to run an in-house wholesale team.** They primarily rely on inbounds, and many relationships end because of limited resources to maintain the account over email, Instagram DMs, and texts.\n\n### **🧰 Our Solution**\n\nAirgoods makes it easy for specialty food stores to discover, sample and order inventory in one place. How?\n\n* **Curated marketplace views that align with store type.** This industry is unique in that the product mix is homogenous within the same store type. For example: an specialty cheese shop in New York offers the same kind of products as one in San Francisco. This allows us to show a business all of the products they want – and nothing they don’t – with high accuracy. For example, today liquor stores and NA bottle shops see the following.\n\n![uploaded image](/media/?type=post&id=73226&key=user_uploads/797737/653e9c5f-f193-4070-9c93-b6da89fddb52)\n\n* **Simplified sample requests.** On Airgoods, stores receive samples in days instead of weeks. We do this by making it easy for brands to track and fulfill samples with in-platform tools that embed the process into their daily order fulfillment workflows. By streamlining this process, we also help brands boost sample to order conversion rates.\n* **Data-driven recommendations and insights.** We provide our buyers with insight into what products are selling best in similar stores around the country. This adds transparency for an industry that traditionally relies on word-of-mouth recommendations.\n\n![uploaded image](/media/?type=post&id=73226&key=user_uploads/797737/015ce154-6e52-4ac5-b3ce-058e77460b29)\n\nWe also integrate with Shopify, which allows brands to fulfill orders from Airgoods without having to onboard to a new sales channel.\n\n### **🐶 Who are we?**\n\nWe are three Yale alums who have been close friends since our first year of college. Before starting Airgoods, Aaron and Elian worked together at an emerging VC fund in NYC, and Paolo and Elian were on Yale’s mens soccer team.\n\nAaron’s dad owns a brick and mortar shop in Maine, and he saw how challenges around ordering inventory put his small store at a major disadvantage to big box chains with dedicated buying teams.\n\n### **🙂 Our Ask**\n\n* Do you have any favorite non-alcoholic or functional beverage brands? Let us know! We’d love to onboard them [**🥂**](https://emojipedia.org/clinking-glasses/)\n* Connect us to anyone you may know in the specialty grocery / wholesale space (store owners, brand owners, service providers) – we’d love to chat at [**founders@airgoods.com**](mailto:founders@airgoods.com)",
        "url": "https://www.ycombinator.com/launches/J34-airgoods-the-wholesale-marketplace-for-food-beverage",
        "votes": 70,
        "created_at": "2023-07-19T16:18:15.129Z"
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        "location": "San Francisco, CA, US",
        "type": "Contract",
        "role": "Marketing",
        "role_type": null,
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      {
        "id": 73292,
        "title": "📈 Revamp: Smarter customer segmentation for eCommerce",
        "tagline": "Get to know your customers, for real.",
        "body": "## **⏳ TL;DR:**\n\nRevamp helps eCommerce brands and agencies understand customer behavior by creating smarter segments for targeted email and paid acquisition campaigns.\n\n**😣 What’s the problem?**\n\nEmail marketers and paid media buyers struggle to understand customer behavior because:\n\n* eCommerce data is fragmented across many platforms\n* Most brands and agencies are non-technical and struggle to stitch data together\n* Even if they stitch the data, analyzing it and acting on it is a struggle\n\nAs a result, email marketers default to generic customer segments and media buyers resort to using the bare minimum in their acquisition campaigns.\n\nThis translates to millions of unpersonalized emails sent every day and millions of dollars in wasted ad spend on mediocre customer segments.\n\n**👕 Why are we solving this?**\n\n![uploaded image](/media/?type=post&id=73292&key=user_uploads/1323620/c904f41c-40ee-4988-aa9c-271a0d7b0a77)\n\nWe’re [Amin Akhtar](https://www.linkedin.com/in/amin-akhtar-15048/) and [Stephen Campbell.](https://www.linkedin.com/in/stephenwcampbell/) We’ve been friends for years and will be co-founders for many more to come!\\\n\\\nLet me (Amin) tell you the story of how we got here 🙂 \\\n\\\nAs Chief Revenue Officer of a bootstrapped D2C brand, I found myself spending time I didn’t have wrangling customer data across an ever-expanding tech stack.\\\n\\\nAs a result, I, like most D2C marketers, resorted to using basic customer segments like “purchased in the last 30 days” in campaigns – that too without really knowing anything about their behavior besides the obvious. \\\n\\\nThe outcome? Declining revenue from over email and dropping conversion across paid acquisition campaigns that kept me up at night.\\\n\\\nTo solve my problem I built a prototype (read: series of massive spreadsheets) to create better segments which drove a near-instant 5% increase in revenue from email campaigns + improved performance on the acquisition side.\\\n\\\nAfter hearing my pain points for (at least) the hundredth time, Stephen decided to partner up with me and we got to building. Now we’re actively realizing our vision of a better future for eCommerce retention.\n\n**🔎 How are we solving it?**\n\nRevamp intelligently stitches data across Klaviyo and Shopify, automatically creates valuable customer segments and calculates metrics and insights specific to that segment. \\\n\\\nWe then give users the ability to flexibly analyze data and observe differences in behavior in seconds - a task that would’ve taken them days if not weeks to do without it!\n\n![uploaded image](/media/?type=post&id=73292&key=user_uploads/1323620/2eebc8ac-5659-44cd-9ead-cad50cb0fa8b)\n\nFinally, users can push our segments to Klaviyo with one click and Revamp does the heavy lifting of making sure everything’s synced up!\n\n![uploaded image](/media/?type=post&id=73292&key=user_uploads/1323620/a13b0278-c93c-4f6d-bc91-3e90cb23da5c)\n\n**🙏 How can you help us?**\n\n* Drop us a follow on [LinkedIn](https://www.linkedin.com/company/revamp-ai/) and follow our journey!\n* We’d greatly appreciate any intros to D2C brands, eCommerce agencies or anyone looking to improve their email marketing!\n\nIf you know anyone in the space feel free to reach out at [founders@getrevamp.ai](mailto:founders@getrevamp.ai)",
        "url": "https://www.ycombinator.com/launches/J48-revamp-smarter-customer-segmentation-for-ecommerce",
        "votes": 43,
        "created_at": "2023-07-21T15:16:54.213Z"
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        "id": 73123,
        "title": "Subsets – The AI retention co-pilot for subscription businesses",
        "tagline": "We help consumer subscription businesses improve retention and make subscribers stay longer.",
        "body": "⌛️ **TL;DR**: Subsets makes it simple to understand, engage, and retain subscribers by enabling personalized and proven retention initiatives based on AI. Our solution helps leading subscription businesses increase CLV by +20% and extend subscriber lifetime up to 6 months.\n\nHi everyone! We are Oliver, Martin, Matias, and Nikolai - the co-founders of [Subsets](http://www.subsets.com).\n\n![](https://lh5.googleusercontent.com/Yuh27xND-dD2BFgP7TFtBnzQLiE540bgly9YdC26PzZ0LSep6C6K3t4sm4TnxdQWM2mKwH0ZxlWjaTzWgaeHm3chv-cOZa9_0L6Rv2GxjEM5_MFG0KnIVK3uA26Qj_N9pioUE949cuSSLTyD7VyvacY)\n\n_from left to right._\n\n**_Oliver_** _leads machine learning and AI development; graduate in machine learning, previously worked as an ML engineer._\n\n**_Martin_** heads the company; graduate in machine Learning, worked in management consulting for two years helping companies scale AI applications. \n\n**_Matias_** carries engineering at Subsets; CS graduate, software engineer in both venture scale-up and big tech (Amazon and Microsoft). \n\n**_Nikolai_** _drives growth and operations; experience with growth (ABM & marketing automation) and revenue operations at a fast growing SaaS scale-up._\n\n**🫠 The Problem**\n\n* Healthy consumer subscription businesses lose 20-40% of their subscribers annually\n* Think about a subscription you have personally - subscribers are flooded with impersonal and irrelevant information which does not encourage active engagement\n* CRM teams do not have solutions available to figure out what the subscriber needs right now to make the most out of their subscription\n* Current AI retention solutions are built for engineers, not commercial people\n\n**💡 The Solution**\n\n_Subsets is The AI retention co-pilot for subscription businesses_\n\nWe enable CRM teams to understand, engage, and retain subscribers by enabling personalized and proven retention initiatives based on AI. Initiatives that work get automated and run continuously on dynamic subscriber audiences. By knowing what initiatives work across different subscription businesses, Subsets can recommend initiatives that give ROI fast.\n\n_Understand, engage, retain by learning from experimentation_\n\n![](https://lh4.googleusercontent.com/m_beqEsY3ABmu53JrkAj5YYaHcCNvJBwRDmlGqS6ofA6PLJecveNU8n5u0-_nUQ1fMHRmXyuzcsOdPtletoYUnsOgTyIEMvfVYmpUxzTEay1BEgMRvFmOYeRCpn9hXhU-Gu_jFqq74HuzZa6xaj6FLk)\n\n![](https://lh6.googleusercontent.com/ZzbJxXa23lKZAWO1Wioh6UHlU834Sf9__lovSz1ZxjZOaDSwEpwLFwVHGJoV0Xs1TeTRRb-Lf4vIxWEHNGy7CtD5zZWlBKhZvduP2kkYt98pobuvi078zfgZbgfokIfUaSK-mNY6kNo54Se7woMtjj4)\n\n![](https://lh5.googleusercontent.com/YnhYcAnQdgkZlMn_tzyB2QyHZkQBcv2sIHcxO3vLat6IPP602dPNlUmVHcujl7erjzHRk1syzYhPzMdu4IE1bF2kS_5m_6LXaRCzRAojnAItcCXvX8piINPg2KzOLaSVLtp4tEB8mYFI4qUkyhRuqBM)\n\nOur solution helps leading subscription businesses increase CLV by +20% and extend subscriber lifetime up to 6 months.\n\n**🙌 Our Ask:** Intros to consumer subscription businesses\n\n* **Users:** If you know anyone who works in consumer-focused subscription businesses, we would like to talk to them and share what we are building! You can introduce us at [martin.johnsen@subsets.ai](mailto:martin.johnsen@subsets.ai)\n* **Pilots:** If you are interested in using Subsets, feel free to sign up on [www.subsets.com](http://www.subsets.com) or reach out directly to the founders at [founders@subsets.com](mailto:founders@subsets.com)\n* Follow [Subsets on LinkedIn](https://www.linkedin.com/company/subsets/) if you find it interesting\n\n \n\nThanks a lot for reading!",
        "url": "https://www.ycombinator.com/launches/J1P-subsets-the-ai-retention-co-pilot-for-subscription-businesses",
        "votes": 34,
        "created_at": "2023-07-17T03:32:48.291Z"
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    "long_description": "Capi helps businesses in emerging markets make international payments. Importers in emerging markets pay up to 10% to settle invoices and wait weeks for payments to arrive. We’re on a mission to give businesses in emerging markets the same price and speed as we expect in the US and Europe.",
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        "id": 73937,
        "title": "Capi Money - International payments for importers in Africa",
        "tagline": "Helping businesses in Africa pay their international suppliers",
        "body": "Hey everyone, we’re [Capi Money](https://capimoney.com) and we help businesses in Africa pay their international suppliers. Importers in Africa pay up to 10% to settle international invoices and wait weeks for their payments to arrive. We’re giving businesses in Africa the same price and speed as we expect in the US and Europe.\n\n**We recently launched in Senegal** 🇸🇳 and have booked over $1.5m of payments in our first two weeks. We’re launching Cameroon this month and are currently scoping out Egypt.\n\n### **😫 The problem our first customer experienced**\n\nTwo weeks ago Mitch and Scott (2/3 of the founding team) were in Senegal visiting our local agent-distributor, and onboarding our first customers: a bookshop and an industrial soap-maker.\n\nThe former imports books from Europe and sells them in Dakar. All their revenue is in local currency (XOF) but their supplier invoices are in Euros. They’ve struggled to pay these invoices as:\n\n* Either the bank doesn’t have any Euros to sell them or if they can find Euros elsewhere (e.g. a broker), they pay 5%-10% in FX fees; and\n* They have to wait weeks and sometimes months for payments to reach their suppliers, which risks their being cut off by their supplier for late payment.\n\nWe provide an alternative source of foreign currency by finding organisations that are sending money into Senegal and therefore want XOF and are willing to trade Euros for it. All of this happens behind the scenes and all they need to do is create the transaction in our online platform and send us the XOF, just like a US business using Wise or Payoneer.\n\n### **👋 A bit about us**\n\n![uploaded image](/media/?type=post&id=73937&key=user_uploads/386554/aedb1a43-f231-4fb4-a6b4-4481c1ce0cc3)\n\nMitch (right) and Scott (middle) met at Taptap Send, a remittance app that sends billions into Africa and Asia every year. There they were COO/CFO and CRO/CMO, and have spent a decade each working in emerging markets. Tom (left) is a 3rd-time founder having been co-founder and CTO at Hubble (a B2B marketplace) and P4SD (a web3 NFT company).\n\n### **🙏 How you can help**\n\nGet in touch if you or anyone you know is:\n\n* A business in Africa making regular international payments;\n* An international exporter, selling goods or services into Africa;\n* A business regularly sending funds into Africa (e.g. remittance firm, HR/payroll company)\n\nYou can either sign up to transact on our website (<https://capimoney.com>), or reach out to us at [founders@capimoney.com](mailto:founders@capimoney.com)",
        "url": "https://www.ycombinator.com/launches/JEX-capi-money-international-payments-for-importers-in-africa",
        "votes": 34,
        "created_at": "2023-08-09T13:51:31.209Z"
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "SID is an AI research center based in San Francisco. We train models that can retrieve and reason over any data source.",
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    "team_size": 7,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1689093789,
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    "status": "Active",
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      "America / Canada"
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    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/sidai/",
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        "full_name": "Maximilian-David Rumpf",
        "title": "Founder",
        "founder_bio": "Max is the CEO of SID.ai. Previously, he was a researcher at ETH Zürich, where he worked on AI accelerator design with the professor who developed Google's TPU architecture. Max was awarded a German national excellence scholarship, awarded to 0.5% of German students.",
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        "full_name": "Lotte Seifert",
        "title": "Founder",
        "founder_bio": "Lotte is determined to let people use their data for their own good. She holds a degree in CS from ETH Zürich and a degree in Economics from the University of St. Gallen. ",
        "is_active": true,
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        "location": "San Francisco, CA, US",
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        "id": 94626,
        "title": "Research Engineer",
        "url": "https://www.ycombinator.com/companies/sid/jobs/3izpJe0-research-engineer",
        "location": "San Francisco, CA, US",
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        "title": "Is A.I. Startup Funding a Rerun of the Dot-Com Bubble? | Chicago Booth Review",
        "url": "https://www.chicagobooth.edu/review/is-ai-startup-funding-rerun-dotcom-bubble",
        "date": "Jul 14, 2023"
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      {
        "id": 72952,
        "title": "SID.ai – AI research lab for retrieval",
        "tagline": "AI research lab for retrieval",
        "body": "**Intelligence needs Context**\n\nAI is giving humanity a new computer: one that can learn, reason, and act. But intelligence and skills are inconsequential without context. _Context imposes the upper bound._ At SID, we're training models to provide this context. _To connect intelligence to the world._\n\n**Context needs Retrieval**\n\nTo provide the right context, you need to find it first: Humanity has known how to do search on the internet for a while. But great search over everything else has been elusive so far. We think _we have an angle to solve it once and for all_. [SID-1](https://www.sid.ai/research/sid-1), our first agentic retrieval model, doubles embedding-only accuracy and outperforms frontier models on the most complex retrieval tasks.\n\n![uploaded image](/media/?type=post&id=72952&key=user_uploads/1134710/cd8dc357-3db7-4db0-9476-265e176bb6bb)\n\n**SID-1**\n\n_SID-1 is our first model for agentic retrieval: 1.8x more likely to surface the right results than embedding-only search across general knowledge, finance, science, legal, and email. It is more accurate than agentic retrieval based on Gemini 3 Pro, Sonnet 4.5, and GPT-5.1 at its highest compute setting, while being 24x faster (144 vs 5.7 seconds)._\n\nTraditional retrieval pipelines pre-program each step: query rewriting, searching, reranking. SID-1 retrieves like a human would: it searches, reads results, and refines its queries, taking as many steps as needed. We trained SID-1 on questions that take human researchers over an hour to solve.\n\nSID-1 is drop-in compatible with existing retrieval systems. It is designed to work as a subagent with larger LLMs like GPT-5 or Sonnet. Teams running embedding-only retrieval or RAG can typically integrate it in an afternoon.\n\nStep-change improvements in retrieval create new winners. Claude Code was better at finding the right file, unlocking larger code bases and driving massive adoption for Anthropic. Open Evidence made retrieving over medical research easier and took doctors by storm. Looking back further, relational was better than hierarchical for databases, creating Oracle. Better web search created Google. [_We're working closely with a small group of companies who want that edge now for their domains._](https://tally.so/r/gDDVMd)\n\nGiven we're compute-limited, we're rolling SID-1 out slowly. We're offering SID-1 through our API, AWS Bedrock, and as a self-hosted model. _If you're interested in SID-1, please sign up to our [waitlist](https://tally.so/r/gDDVMd), follow us on [X](https://x.com/SID_AI), or read the [technical report](https://www.sid.ai/research/sid-1-technical-report) for more details._",
        "url": "https://www.ycombinator.com/launches/Iye-sid-ai-ai-research-lab-for-retrieval",
        "votes": 135,
        "created_at": "2023-07-11T18:57:41.923Z"
      }
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  },
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    "id": 28844,
    "name": "Alguna",
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    "long_description": "We are Alguna, building a modern platform that helps B2B companies price deals, send quotes, bill customers, and collect payments - all in one place.\r\n\r\nOur mission is to create the most efficient revenue engine for B2B SaaS.\r\n\r\nToday, many companies run these processes with spreadsheets and a patchwork of separate tools. That leads to slow approvals, manual work, mistakes, and missed revenue—especially as pricing gets more complex.\r\n\r\nAlguna replaces that mess by connecting the entire flow from **quote to cash**: what sales sells becomes what finance bills, automatically. We help teams automate invoicing, handle usage-based or custom pricing, and reduce back-and-forth between sales, finance, and engineering.\r\n\r\nThe result: growth-stage startups and enterprises can close deals faster, bill accurately, and scale revenue operations without adding headcount or building internal systems.\r\n",
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        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "**What is the core problem that Alguna solves?**\r\n\r\nB2B companies struggle to turn what sales sells into what finance can reliably bill and collect.\r\n\r\nPricing, quoting, contracts, usage, invoicing, and payments often live in different tools—and the “glue” is spreadsheets, manual approvals, and one-off engineering work. As soon as a company introduces custom terms (discounts, ramps, multi-year deals, usage-based pricing, credits, multi-entity billing), the process breaks down: quotes don’t match invoices, billing becomes manual, and finance is stuck cleaning up exceptions every month.\r\n\r\nAlguna solves this by providing a single platform that unifies **pricing, CPQ, billing, invoicing, payments, usage metering, and collections automation** into one **quote-to-revenue** system.\r\n\r\n**Why is this a big problem?**\r\n\r\nBecause revenue operations scale poorly when the infrastructure is fragmented.\r\n\r\nThe impact is measurable:\r\n\r\n\\- **Revenue leakage:** missed invoices, incorrect pricing, unbilled usage, and manual errors compound over time.\r\n\r\n\\- **Slower deal cycles:** approvals and “can we even bill this?” questions delay closing.\r\n\r\n\\- **High operational cost:** finance and revops teams spend their time reconciling systems instead of controlling revenue.\r\n\r\n\\- **Engineering dependency:** product teams get pulled into custom billing logic, integrations, and edge cases.\r\n\r\n\\- **Harder forecasting and reporting:** when the source of truth is scattered, finance cannot trust the numbers.\r\n\r\nAs more companies adopt **usage-based**, **hybrid**, and **AI-driven** pricing models, the gap between modern monetization and legacy revenue stacks keeps widening.\r\n\r\n**What made you decide to work on it?**\r\n\r\nWe saw the same pattern across fast-growing B2B teams: the product and go-to-market motion moves quickly, but the revenue stack stays stuck in old systems built for simpler subscriptions.\r\n\r\nTeams end up running “mission-critical revenue” on spreadsheets and disconnected tools—because replacing them is painful, and building in-house is expensive and distracting. Yet the cost of doing nothing is continuous: every custom deal creates more manual work, more risk, and more leakage.\r\n\r\nAlguna exists to modernize that foundation. We’re building the revenue management engine B2B companies need to sell flexibly, bill accurately, and scale without chaos—by unifying the quote-to-revenue lifecycle and automating the back office."
      },
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        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "We will know Alguna succeeded when **B2B monetization stops being a patchwork of spreadsheets, PDFs, and disconnected tools**—and becomes a single, programmable revenue engine that companies can run with speed, precision, and confidence.\r\n\r\nThe world today is stuck with legacy revenue stacks that were built for simpler subscription businesses. Meanwhile, selling is changing fast: companies sell across **PLG (self-serve), SLG (custom quotes), and enterprise procurement**, pricing models are shifting toward **usage, hybrid, credits, and outcome-based**, and deep integrations + two-way sync across systems are becoming table stakes. In that environment, “good enough” billing and CPQ breaks down.\r\n\r\nAlguna’s vision is to become the **one source of truth for revenue**—the system that orchestrates pricing, quoting, contracting, usage, billing, invoicing, payments, and collections end-to-end.\\\r\n\\\r\nWhat will be different about the world\r\n\r\n**1) Revenue operations becomes “real-time” and automated**\r\n\r\n* Quotes turn into clean billing schedules automatically.\r\n* Usage becomes billable without manual reconciliation.\r\n* Invoices and collections run with far fewer human interventions.\r\n* Finance teams stop doing back-office cleanup as a permanent job.\r\n\r\n**2) Pricing evolves as quickly as the market**\r\n\r\n* Teams can run pricing experiments safely across channels.\r\n* Guardrails and approvals are built-in, not enforced by spreadsheets.\r\n* Companies avoid pricing drift, one-off logic, and costly exceptions.\r\n\r\n**3) Selling becomes faster, with less internal friction**\r\n\r\n* Sales can confidently sell complex deals without engineering dependency.\r\n* Deal desks can scale without becoming a bottleneck.\r\n* Enterprise flexibility is supported without creating operational chaos.\r\n\r\n**4) Businesses scale with smaller teams and higher reliability**\r\n\r\n* A 10-person team can grow rapidly without inheriting a brittle revenue stack.\r\n* Forecasting becomes more trustworthy because the underlying system is consistent.\r\n* Revenue leakage becomes the exception, not the norm."
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        "full_name": "Aleks Đekić",
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        "title": "Exclusive: Alguna exits stealth with $4m seed round",
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      {
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        "title": "Alguna – Modern pricing, quoting & billing platform",
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        "body": "# **📝 TL;DR:**\n\n> [Alguna](https://alguna.io) is a modern pricing, quoting, and billing platform for B2B SaaS. Companies use it to unify the quote-to-revenue process by automating complex and manual back-office operations. [Book a demo](https://alguna.io) to learn more.\n\n# **❌ Problem**\n\nAs companies grow, they want to offer more customized deals to their larger customers, capture data around product usage, forecast revenue, and experiment with pricing. As they scale, instead of graduating to better tools, they default to using spreadsheets and manual processes to connect single-point solutions.\n\nAfter interviewing over 100 company leaders, we’ve seen what consequences information siloes and fragmented solutions can have on the companies’ growth trajectories. \\\nFrom light issues like hiring people to copy/paste data between systems to fundamental ones like not trusting your revenue data or asking your customers to tell you how much they used your product.\n\n> _In times of growth at all costs, companies could’ve turned a blind eye to these imperfect workflows; however, as 2023 loomed over the whole SaaS world, these revenue-impacting inefficiencies represent the line between company survival and the slow death of running out of money without even realizing it._\n\n# ✅ **How Alguna works**\n\nOur core premise is to enable our customers (growth-stage startups and enterprises) to flexibly close more deals faster without worrying about internal limitations and relying on finance and engineering teams.\n\n![uploaded image](/media/?type=post&id=76099&key=user_uploads/1225753/9b1a2f85-6a49-4420-8839-23d7193526fa)\n\n> We’ve built **an end-to-end solution** covering the whole customer lifecycle while **complementing** existing **sales** (CRMs), **finance** (ERPs/Accounting), and **engineering** tools.\n\n**Configure pricing & create custom quotes**\n\n* Set up pricing and packaging across all sales channels while supporting any pricing model (including subscriptions, usage-based, platform fees, etc.)\n* Create the most customizable plan options with custom product billing options, one-off integration fees, special discounts, and complex renewal terms.\n\n![uploaded image](/media/?type=post&id=76099&key=user_uploads/1225753/d5c62cfa-bb64-45bd-b544-4ff878cbc363)\n\n**Streamline the contract signature flow**\\\nAlguna provides an embedded signature experience directly from the proposal you send customers. This is then automatically connected to tools upstream (CRMs) and downstream (ERPs), enabling the cohesive external (prospects/customers) and internal experience.\n\n![uploaded image](/media/?type=post&id=76099&key=user_uploads/1225753/f722da69-f9ef-4655-be51-676d57731dbb)\n\n**Seamless and reliable invoicing experience**\\\nSince the pricing models and quotes are natively integrated, everything is automatically connected with the billing engine, enabling the accurate and reliable customer billing experience directly via Alguna or ERP tools of your choice (Stripe Invoicing, Netsuite, Xero, Quickbooks, Bill)\n\n![uploaded image](/media/?type=post&id=76099&key=user_uploads/1225753/8802ecb0-928d-4ff8-9bf2-d6593fae75a3)\n\n**Source of truth for revenue metrics** \\\nEmpower sales and customer success teams with usage data to drive more revenue and unlock new upsell opportunities with real-time revenue data.\n\n![uploaded image](/media/?type=post&id=76099&key=user_uploads/1225753/f34387fc-134a-471f-bba3-0d38d1e992f8)\n\n# **🏟️ Why us**\n\nWe ([@Jamie MacLeod](https://www.linkedin.com/in/jamie-macleod/) & [@Aleks Đekić](https://www.linkedin.com/in/aleksdjekic/)) met at a fintech startup where we helped scale the payments and automation teams and products. While trying to launch new products, we experienced this problem firsthand and decided to solve it once and for all. Previously, [@Aleks](https://www.linkedin.com/in/aleksdjekic/) led the product development of internal tools _just like_ Alguna for a 600-person commercial team at one of Europe's fastest-growing payment processing companies.\n\n# **🚀 What’s next?**\n\n> **_We’re on a mission to build the most efficient revenue management engine covering the whole customer lifecycle._**\n\n* [Book a demo](https://alguna.io) if you want to learn more about Alguna.\n  * Refer us to anyone you know who could benefit from our solution via [founders@alguna.io](mailto:founders@alguna.io)\n  * If you’d like to share insights and feedback, our inbox is always open.\n* Follow us on [Twitter](https://twitter.com/AlgunaHQ) or [LinkedIn](https://www.linkedin.com/company/algunahq) for new product updates and revenue management best practices.",
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        "full_name": "John Glasgow",
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        "title": "Campfire - The modern version of NetSuite",
        "tagline": "Campfire powers the accounting for mid-size tech companies",
        "body": "tl;dr: [Campfire](https://meetcampfire.com/) is an accounting platform for startups and mid-size tech companies that are outgrowing QuickBooks or Xero, or are frustrated with NetSuite or Sage. It’s a modern general ledger with advanced features such as multi-entity support and advanced revenue reporting in a modern, consumer-grade interface.\n\n**Revenue dashboard**\n\n![](https://lh7-us.googleusercontent.com/vNK1saTKs-pUioJMvekmx0HD-W31n_MBiUdMPRGN1IPkDQ9GZYCsPvvRagD9KX4AVxPp0vVYFXz0G9h_-WUhqujPCLefCUb7ZZIQ34KUOdWsv0NgGJk3Be6AWqlxmyyg30WsrJZfGhPK9nlGVjXn44s)\n\n---\n\nWe’ve been building our accounting platform to compete with Netsuite since day one at Campfire, but it’s a massive undertaking, so our initial product launch was one of our features - [Revenue Automation](https://meetcampfire.com/revenue-automation/) for unified invoicing/payments, revenue accounting, and reporting. And today, I’m thrilled to share more about our flagship product - [Core Accounting](https://meetcampfire.com/core-accounting/). It’s a modern accounting platform with companies such as Carbon Direct, Populi, and Delphia using the product. We’ve been beta testing our general ledger since July with customers that range in size from 10 employees to 150-employee global companies and are now ready to onboard more customers. Our typical customer migrates to Campfire from QuickBooks and Xero, but we’ve also migrated customers from mid-market ERPs like Sage Intacct and NetSuite.\n\n**Multi-entity income statement:**\n\n![](https://lh7-us.googleusercontent.com/TEOi8cfTZbfz5jIat7AQ9jyKDZAACh6xRhu6LnB4USU1zwe4bBfwA6_D8HFwHqXX1gYfcRPLSSibjFI9oJ_QTi9qc8au9Zh_TybxyGGb8tkRhI68BBDwd8QO7QFiaLuTP2Rj6tidNHI7vxmfbumeC-0)\n\nMy co-founder, [Fernando](https://linkedin.com/in/fsanmartinjorquera), and I ([John](https://linkedin.com/in/johnglasgow)) have scaled multiple accounting software companies including Invoice2go (acquired by Bill.com for $600M+) and Trovata (powering the treasury accounting for companies like Block and Etsy).\n\n**Campfire benefits**\n\n* **Turn the lights on for your financial data** - Unlock actionable and timely KPIs and financial insights with advanced financial reporting for increased visibility such as contribution margin by customer and P&L by department. Empowering executives to make informed, timely decisions.\n* **Scale from startup to global operations** - The first modern general ledger that effortlessly scales globally with your company via support for muti-entity and multi-currency financial consolidation, advanced revenue automation, and multi-dimensional reporting.\n* **Accelerate the accounting close process** - In the current environment, we’re all looking to grow faster while cutting burn. Streamline accounting and financial reporting workflows to free up resources so your team can focus on strategic, high-value work.\n* **API-first approach** - Our [**modern APIs**](https://api.meetcampfire.com/api/docs/) power custom integrations for customers that have automated custom accounting workflows in a matter of days.\n\n**Quotes from a few customers:**\n\n> “We migrated from Sage Intacct to Campfire to accelerate our close process. It’s the only solution in the market that is modern, yet has the power to support our global operations across multiple legal entities and currencies.”\n>\n> Andrea Burton, CPA | VP of Finance Delphia (YC W18)\n\n> “When we were on QuickBooks, it was obvious the product was not built for tech companies like ours. The migration to Campfire was painless and now we are able to make informed decisions and track KPIs as we scale.”\n>\n> Jon Yoo, CEO @ Suger (YC W23)\n\n## **Get started with Campfire**\n\nSend me an email ([**john@meetcampfire.com**](mailto:john@meetcampfire.com)) or check out our website at [**www.meetcampfire.com**](http://www.meetcampfire.com/) to learn more and schedule a demo.",
        "url": "https://www.ycombinator.com/launches/KVm-campfire-the-modern-version-of-netsuite",
        "votes": 44,
        "created_at": "2024-02-28T16:13:45.104Z"
      },
      {
        "id": 73767,
        "title": "Campfire ⛺ 🔥 : Revenue management for Series A+ tech companies",
        "tagline": "Your investor updates just got a lot better",
        "body": "**TL;DR**\n\nMost Series A+ tech companies still manage revenue recognition, attribution (expansion, churn, etc.), and KPIs in spreadsheets. Campfire simplifies the entire process by ingesting your revenue data (customer contracts, Stripe data, etc.) through AI to automate your revenue recognition, invoice management and KPI reporting for any business model (subscription, usage, marketplace, etc.). We’re currently performing the data migration (at no cost!) for new customers through the end of August. Check us out at [meetcampfire.com](http://meetcampfire.com)!\n\n![uploaded image](/media/?type=post&id=73767&key=user_uploads/815940/5446f7b9-e256-4832-9844-aeca965da002)\n\n_Quick tour of our dashboard page_\n\n**How we know this is a problem**\\\nAs an exec at Invoice2go (90 employees, Series C), one of the largest pain points [John](https://bookface.ycombinator.com/user/815940) encountered was that the company had outgrown QuickBooks, but the migration to NetSuite didn’t make sense due to pricing, resourcing and the required migration effort. After selling the company to and leading partnerships at [Bill.com](http://Bill.com), John noticed significant innovation happening around core accounting (Brex, Zip, Rippling, etc), but accounting software itself like NetSuite hadn’t been refreshed in 20+ years.\n\nAt the same time, [Fernando](https://bookface.ycombinator.com/user/847698) led back-end engineering at Trovata, which is treasury software for customers like Square and Etsy. He realized there was an opportunity to bring enterprise-grade automation to mid-size companies.\n\nBringing our experiences together, we know that we can make a difference in an area that hasn’t seen improvements in decades. \n\n![uploaded image](/media/?type=post&id=73767&key=user_uploads/815940/eab61627-c57c-4806-a75c-2dbc58c577db)\n\n_This was the moment when it sunk in that we’re really in Y Combinator!_\n\n**Our Solution**\\\nTo fix this inefficiency, we’ve launched _Revenue Management_ as our first product. We’re migrating accounting and finance teams out of spreadsheets and into automated, AI-powered software that ingests customer contracts and computes revenue recognition and KPIs (ARR, churn, etc.) to improve accuracy, saving both time and money. Early customers are saving 90% of the time it takes to manage revenue, allowing their accounting/finance teams to focus on high-value, impactful work instead of performing manual tasks in spreadsheets. Your investor/Board updates just got a lot better, and your accounting teams just got a lot more efficient. Our product is fully operational for any business model and referenceable with happy campers (pun intended!) like Jenny Jao, Head of Finance at Sprig (Series B) who said:\n\n> Our time-to-value with Campfire was really fast. We're moving our revenue and invoice management out of spreadsheets and into Campfire to automate everything. It's a big win for us.\n\n![uploaded image](/media/?type=post&id=73767&key=user_uploads/815940/ea2da31f-8ee9-4c14-8ac5-41c21ac29be9)\n\n_View of a customer contract_\n\nCampfire works well for any business model from marketplaces managing hundreds of thousands of monthly transactions in a database to enterprise subscription software managing contracts in spreadsheets. Irrespective of business model, Campfire automates your revenue KPI’s for investor/exec updates and monthly journal entry for any accounting software such as QuickBooks and NetSuite. \n\n**Our ask:** We’re looking to connect with finance and accounting leaders at Series A+ tech companies to explore how Campfire can save them between one day and one week every month, while turning the lights on their revenue KPIs to improve exec reporting and investor updates.\n\n**Launch YC Promo:** \\\nWe’re currently performing the entire data migration out of spreadsheets (at no cost!) for new customers through the end of August. Upon first login, view all of your revenue KPIs, attribution, and customer- and product-level revenue analysis with the ability to drill down into the data. Reduce your revenue accounting down to a few clicks per month, and increase your efficiency. 📈\n\n**Check out our website at **[**meetcampfire.com**](http://meetcampfire.com)**, drop me a note at **[**john@meetcampfire.com**](mailto:john@meetcampfire.com)**, or **[**schedule a demo**](https://www.meetcampfire.com/company/meet-campfire)** to get started.**",
        "url": "https://www.ycombinator.com/launches/JBn-campfire-revenue-management-for-series-a-tech-companies",
        "votes": 49,
        "created_at": "2023-08-03T16:54:17.347Z"
      }
    ]
  },
  {
    "id": 28860,
    "name": "Terminal",
    "slug": "terminal",
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    "website": "https://www.withterminal.com/",
    "all_locations": "Toronto, ON, Canada",
    "long_description": "Terminal builds telematics data infrastructure for the commercial fleet industry. Commercial auto insurers and fleet software companies, including industry leaders like Intact Insurance, depend on our platform to access GPS, speeding, and vehicle data from 330+ telematics providers. We recently raised our Series A led by Battery Ventures and are backed by Y Combinator, Golden Ventures, Penske Transportation Solutions, and Intact Private Capital. Our team works together in person in Toronto, combining early-stage speed with late-stage maturity while processing many terabytes of vehicle data every day.",
    "one_liner": "Plaid for Telematics Data in Commercial Trucking",
    "team_size": 17,
    "industry": "B2B",
    "subindustry": "B2B -> Supply Chain and Logistics",
    "launched_at": 1686875365,
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      "Logistics",
      "API",
      "Supply Chain",
      "Transportation"
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    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
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    ],
    "regions": [
      "Canada",
      "America / Canada"
    ],
    "stage": "Growth",
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    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/terminal",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/terminal.json",
    "year_founded": 2023,
    "city": "Toronto",
    "country": "CA",
    "linkedin_url": "https://www.linkedin.com/company/terminal-api",
    "x_url": "",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/terminal-4fea",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/acdabd0c7f626bea58520be4df19e9d87e878e06.png",
    "app_video_url": null,
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    "company_photos": [
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    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
    },
    "founders": [
      {
        "user_id": 1241796,
        "full_name": "Raghav Midha",
        "title": "Founder",
        "founder_bio": "CEO & Co-Founder of Terminal (S23)",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/raghavmidha",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/30612b4ae0879ea6074d7807794790879123ea72.jpg"
      },
      {
        "user_id": 1289192,
        "full_name": "Connor Giles",
        "title": "Founder",
        "founder_bio": "CTO & Co-Founder of Terminal (S23)",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/connorgiles",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bfc970951c9a8c1e68b3bf8a49cb348fc1036abd.jpg"
      }
    ],
    "jobs": [
      {
        "id": 91980,
        "title": "Software Engineer, Data Platform",
        "url": "https://www.ycombinator.com/companies/terminal/jobs/ESIucQf-software-engineer-data-platform",
        "location": "📍 Toronto, ON",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$200K - $295K CAD",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Amazon Web Services (AWS)",
          "Java",
          "Python",
          "Spark",
          "Distributed Systems",
          "Data Warehousing",
          "Kafka"
        ]
      },
      {
        "id": 91982,
        "title": "Software Engineer, Backend",
        "url": "https://www.ycombinator.com/companies/terminal/jobs/ViOLGXo-software-engineer-backend",
        "location": "📍 Toronto, ON",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$185K - $285K CAD",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Amazon Web Services (AWS)",
          "Node.js",
          "TypeScript",
          "Distributed Systems",
          "Serverless"
        ]
      },
      {
        "id": 92203,
        "title": "Founding Partnership Lead - Ecosystem / Product Partnerships",
        "url": "https://www.ycombinator.com/companies/terminal/jobs/vI3TdId-founding-partnership-lead-ecosystem-product-partnerships",
        "location": "📍 Toronto, ON",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$180K - $220K CAD",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 101993,
        "title": "Founding Strategic Account Manager",
        "url": "https://www.ycombinator.com/companies/terminal/jobs/a1N7DlM-founding-strategic-account-manager",
        "location": "📍 Toronto, ON",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$220K - $260K CAD",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 101994,
        "title": "Founding Customer Engineer",
        "url": "https://www.ycombinator.com/companies/terminal/jobs/yD28Izp-founding-customer-engineer",
        "location": "📍 Toronto, ON",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$200K - $235K CAD",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 101995,
        "title": "Founding Customer Success Manager",
        "url": "https://www.ycombinator.com/companies/terminal/jobs/DjDVlAK-founding-customer-success-manager",
        "location": "📍 Toronto, ON",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$135K - $165K CAD",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 101996,
        "title": "Founding Technical Recruiter",
        "url": "https://www.ycombinator.com/companies/terminal/jobs/dZFjDfh-founding-technical-recruiter",
        "location": "📍 Toronto, ON",
        "type": "Full-time",
        "role": "Recruiting & HR",
        "role_type": "Recruiter",
        "salary_range": "$115K - $152K CAD",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 101997,
        "title": "Founding Product Marketing Lead",
        "url": "https://www.ycombinator.com/companies/terminal/jobs/MLblJgt-founding-product-marketing-lead",
        "location": "📍 Toronto, ON",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$180K - $220K CAD",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "Semi-Related Podcast - Integration innovation | Raghav Midha of Terminal",
        "url": "https://optym.com/semi-related-podcast/integration-innovation-raghav-midha-of-terminal",
        "date": "Apr 24, 2025"
      },
      {
        "title": "Terminal raises $3.1M, wants to be the ‘Plaid of trucking’ - FreightWaves",
        "url": "https://www.freightwaves.com/news/terminal-raises-3-1m-wants-to-be-the-plaid-of-trucking",
        "date": "Dec 12, 2023"
      },
      {
        "title": "Meet the Y Combinator Summer 2023 cohort startups with Canadian connections | BetaKit",
        "url": "https://betakit.com/meet-the-y-combinator-summer-2023-cohort-startups-with-canadian-connections/",
        "date": "Sep 06, 2023"
      }
    ],
    "launches": [
      {
        "id": 72500,
        "title": "Terminal: Plaid for Telematics 🚚",
        "tagline": "Companies building insurance products and fleet software for trucking can use our API to access GPS data, speeding data and vehicle stats.",
        "body": "![uploaded image](/media/?type=post&id=72500&key=user_uploads/1241796/74a6448c-c325-45e1-be23-8766bfd032e7)\n\n## **📌 TL;DR**\n\n_Companies building products for transportation, logistics and fleet management spend 30%-40% of their engineering capacity on integrations - this is expensive, undifferentiated work that takes their time away from working on actual customer problems. Terminal (_[_withterminal.com_](http://withterminal.com)_) is a Universal API for Telematics that makes it easy for these teams to integrate all of the top telematics platforms into their application without needing to worry about the complex underlying details._\n\n## 😰 **Problem**\n\nOur customers include (but are not limited to): insurance companies, fuel cards, invoice factorers, fleet management systems, digital freight brokers, load boards and transportation management systems. These folks need access to telematics data to support their end-users who are trucking companies and commercial fleets. Integrating telematics is often a must-have for them and there’s typically a direct correlation between their number of supported integrations and their sales closure rate.\n\nThe telematics market is fragmented, with hundreds of available platforms, each with their own type of integration (REST, SOAP, etc.), and documentation that is not always available. Companies that need to integrate into these vendors have large integration teams and are still unable to meet their customers' demand.\n\n## **🔮 Solution**\n\nTerminal's Universal API for Telematics enables companies to support all of the leading telematics platforms through a single integration. Similar to Plaid and Stripe - our mission is to increase the innovation velocity of transportation, logistics and fleet management through making fleet data more accessible.\n\nWe provide a white-labelled **User Interface** for fleet managers to grant access to telematics data like GPS, vehicle stats, driver hours and safety events.\n\n![uploaded image](/media/?type=post&id=72500&key=user_uploads/1241796/c7ebf48f-6014-4192-adc8-5eed6aef0aa9)\n\nOnce a fleet manager grants access, we extract, normalize, enrich, and sync the data for our customer. We also offer common data models, webhooks and access to raw telematics data to make it easy for customers to integrate. You can learn more about how it works in our [**API Documentation**](https://terminal.stoplight.io/docs/terminal).\n\n![uploaded image](/media/?type=post&id=72500&key=user_uploads/1241796/9b511455-57e1-4ced-a523-df860d3e67a8)\n\nCustomers also receive a **Support Portal** for managing their integrations, customer connections and data syncs.\n\n![uploaded image](/media/?type=post&id=72500&key=user_uploads/1241796/42b9409c-1fbe-4a22-bb93-5d685c91598d)\n\n## **😇 Ask**\n\nIf you know any companies that currently integrate or are looking to integrate with telematics, please let us know at [**founders@withterminal.com**](mailto:founders@withterminal.com).",
        "url": "https://www.ycombinator.com/launches/IrM-terminal-plaid-for-telematics",
        "votes": 62,
        "created_at": "2023-06-24T00:00:20.370Z"
      }
    ]
  },
  {
    "id": 28862,
    "name": "Corgea",
    "slug": "corgea",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4f659e1a5051b790e28f097f1c858880dc797b7f.png",
    "website": "https://www.corgea.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Corgea is an autonomous application security platform that finds and validates vulnerabilities, then generates safe code fixes developers can apply in their existing workflow. In production customers like Zapier and Yageo, see ~20% more true positives and ~90% fewer false positives (vs their prior tooling), reducing triage and speeding remediation without adding headcount.\r\n",
    "one_liner": "Corgea finds, and fixes insecure code and packages autonomously. ",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B -> Security",
    "launched_at": 1686005960,
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      "SaaS",
      "Security",
      "Cybersecurity",
      "AI"
    ],
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    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
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    "regions": [
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      "America / Canada",
      "Remote",
      "Partly Remote"
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    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/corgea",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/corgea.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/corgea/",
    "x_url": "https://twitter.com/CorgeaInc",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/corgea",
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    "primary_partner": {
      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
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      {
        "user_id": 65616,
        "full_name": "Ahmad Sadeddin",
        "title": "Founder",
        "founder_bio": "Ahmad is the founder and CEO of Corgea, which is his 3rd startup. His last one was acquired by Coupa. He spent the last 3 years of his tenure there leading the payments product where he worked on making sure their products were secure.",
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        "linkedin_url": "https://linkedin.com/in/asadeddin",
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      {
        "id": 69626,
        "title": "Senior software engineer - California",
        "url": "https://www.ycombinator.com/companies/corgea/jobs/BkQzEJ1-senior-software-engineer-california",
        "location": "San Francisco, CA, US / San Mateo, CA, US / Remote (CA, US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $200K",
        "equity_range": "0.50% - 2.00%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 69628,
        "title": "Senior software engineer - Jordan",
        "url": "https://www.ycombinator.com/companies/corgea/jobs/28hnjyF-senior-software-engineer-jordan",
        "location": "JO / Remote (JO)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$20K - $65K",
        "equity_range": "0.10% - 2.00%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 81750,
        "title": "Software engineer - Jordan",
        "url": "https://www.ycombinator.com/companies/corgea/jobs/4ikDBbl-software-engineer-jordan",
        "location": "JO / Remote (JO)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$17K - $40K",
        "equity_range": "0.10% - 2.00%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 81751,
        "title": "Software engineer - California",
        "url": "https://www.ycombinator.com/companies/corgea/jobs/Fj7nVVP-software-engineer-california",
        "location": "San Francisco, CA, US / San Mateo, CA, US / Remote (CA, US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$100K - $180K",
        "equity_range": "0.25% - 2.00%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 83239,
        "title": "Security Researcher",
        "url": "https://www.ycombinator.com/companies/corgea/jobs/flq0ShW-security-researcher",
        "location": "San Francisco, CA, US / San Mateo, CA, US / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $220K",
        "equity_range": "0.25% - 0.75%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "JavaScript",
          "Python",
          "Information Security",
          "Software Security"
        ]
      },
      {
        "id": 91598,
        "title": "Founding DevOps Engineer - California",
        "url": "https://www.ycombinator.com/companies/corgea/jobs/5adGCih-founding-devops-engineer-california",
        "location": "San Francisco, CA, US / Remote (US; CA, US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Devops",
        "salary_range": "$100K - $210K",
        "equity_range": "0.05% - 0.50%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 91601,
        "title": "Founding DevOps Engineer - Jordan",
        "url": "https://www.ycombinator.com/companies/corgea/jobs/AxEYjCf-founding-devops-engineer-jordan",
        "location": "JO / Remote (JO)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Devops",
        "salary_range": "$25K - $42K",
        "equity_range": "0.05% - 0.20%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": " Introducing PolicyIQ: Contextual Security Analysis for Smarter, More Accurate Results - Corgea - Home",
        "url": "https://corgea.com/blog/introducing-policyiq-contextual-security-analysis-for-smarter-more-accurate-results",
        "date": "Jan 15, 2025"
      },
      {
        "title": "Corgea’s raises $2.6 Million Seed Round",
        "url": "https://en.incarabia.com/shorooq-partners-leads-corgea%E2%80%99s-us26-million-seed-round-694875.html",
        "date": "Nov 06, 2024"
      },
      {
        "title": "Corgea Recognized as an IDC Innovator for DevSecOps Automated Remediation",
        "url": "https://corgea.com/blog/corgea-recognized-as-an-idc-innovator-for-devsecops-automated-remediation",
        "date": "Sep 18, 2024"
      }
    ],
    "launches": [
      {
        "id": 103899,
        "title": "Corgea: Agentic Pentesting",
        "tagline": "An autonomous penetration testing engine that runs in hours and not weeks",
        "body": "[**Corgea AI Pentesting**](https://corgea.com/products/ai-pentest): an autonomous penetration testing engine that uses AI agents to plan, execute, validate, and report security tests. It doesn’t run a checklist. It reasons about your application.\n\n<https://www.youtube.com/watch?v=wzvUiEr8I2c>\n\n## The numbers\n\nIn a recent pentest:\n\n* **Corgea found 25 findings.** The human pentester found 6.\n* **Delivery time: 4-8 hours.** The human pentest took 2 weeks.\n\n![Corgea AI Pentesting findings overview](https://corgea.com/cms/blog/introducing-ai-pentesting/image-3.png)\n\n## How it works\n\nMost autonomous pentesting tools are black-box scanners with better marketing. They probe endpoints against a generic vulnerability checklist and produce a PDF full of theoretical findings that security teams have to triage manually.\n\nCorgea takes a fundamentally different approach. The engine operates like a real pentesting team.\n\n**Multi-agent architecture.** Not a single scanner. Corgea spawns a coordinator agent that assigns specialized sub-agents (an authentication discovery agent, an API exploration agent, a SQL injection expert agent) based on what it discovers. These agents collaborate, share findings, and build on each other’s discoveries. For complex targets, Corgea can spawn hundreds of agents.\n\n![Corgea AI Pentesting multi-agent execution view](https://corgea.com/cms/blog/introducing-ai-pentesting/image-1.png)\n\n**Code-aware, not black-box.** The engine ingests code context, dependency data, infrastructure configuration, and business logic. It uses your existing [AI SAST](https://corgea.com/products/ai-sast) findings for white-box pentesting, exploiting vulnerabilities at runtime that static analysis already identified. This combination of static insight and dynamic testing dramatically amplifies what the engine can find.\n\n**Dynamic adaptation.** Corgea’s agentic architecture is not fixed. The system continuously adapts its strategy based on what it learns about the target, dynamically scaling the number of agents, their responsibilities, and their specialization. It doesn’t follow a one-size-fits-all workflow.\n\n**Exploitability validation built in.** Corgea doesn’t report theoretical vulnerabilities. Agents validate exploitability during the test itself, confirming a finding can be triggered, capturing evidence, and explaining business impact. This eliminates the triage burden that makes traditional pentest reports a firehose of unverified findings.\n\n![Corgea AI Pentesting exploit reproduction script](https://corgea.com/cms/blog/introducing-ai-pentesting/image-2.png)\n\n## The pipeline\n\n1. **Environment setup.** Corgea provisions a Linux-based sandbox with a full suite of security tools for crawling, discovery, reconnaissance, and exploit validation.\n2. **Scope and context ingestion.** Target scope, endpoints, API documentation, auth flows, user roles, business logic context, and optional code/repo context. Both authenticated and unauthenticated.\n3. **Attack surface discovery.** Maps reachable routes, APIs, parameters, forms, auth boundaries, authorization-sensitive workflows, and exposed services.\n4. **Autonomous test planning.** AI agents reason about application structure and generate test plans for broken access control, IDOR, authentication bypass, injection, SSRF, insecure file handling, sensitive data exposure, and business logic abuse.\n5. **Safe execution and validation.** Hundreds of sub-agents execute probes, observe responses, adapt based on application behavior, and validate exploitability.\n6. **Evidence generation.** For confirmed issues: affected endpoint, payload or request sequence, response evidence, exploitability reasoning, severity, business impact, and remediation recommendation.\n7. **Developer-native remediation.** Findings go directly into developer workflows (PR comments, Jira tickets, Slack notifications, CI/CD pipelines) with reproduction steps, code context, and suggested fixes.\n8. **Reporting.** Findings converted into reports for management, auditors, and customers.\n\n## Supervised autonomy\n\nAutonomous doesn’t mean uncontrolled. Humans remain in control of:\n\n* Defining and approving test scope\n* Setting rules of engagement\n* Approving aggressive or potentially disruptive testing\n* Reviewing sensitive findings\n* Accepting final pentest reports\n* Making risk decisions for production environments\n\nCorgea automates the repetitive and technically complex parts. Humans own the risk decisions.\n\n## Continuous, not point-in-time\n\nTraditional pentesting delivers a PDF report weeks after testing begins. By the time you read it, your application has changed.\n\nCorgea supports both one-time and continuous autonomous pentesting. Retesting is automatic after remediation. Findings close the loop between discovery, fix, and verification in hours, not waiting for the next quarterly cycle.\n\n## Ready to Ditch Security Theater?\n\nIf you're tired of checkbox pentests:\n\nBook a call: <https://corgea.com/demo> \n\nEmail us: sales@corgea.com",
        "url": "https://www.ycombinator.com/launches/R1n-corgea-agentic-pentesting",
        "votes": 18,
        "created_at": "2026-06-24T15:40:00.793Z"
      },
      {
        "id": 77558,
        "title": "🐕 Corgea - Easily and quickly fix vulnerable code using AI",
        "tagline": "We make it easy for companies fix vulnerable code by automating away 80% of the engineering work needed. ",
        "body": "**TL;DR**: Corgea helps companies fix vulnerable source code. It is an AI-powered security platform that writes security patches for engineer approval, saving 80% of the engineering effort needing and $$$. Having Corgea is like having a security engineer on staff constantly focused on making your code more secure. \n\nHi YC! This is Ahmad, and along with Adam, Pratik and Tamara we’re building [Corgea](https://corgea.com/).\n\n![uploaded image](/media/?type=post&id=77558&key=user_uploads/65616/fd08a653-a912-4b81-8d59-cfb4c56e0d95)\n\n### 🕳️ Unresolved holes in software\n\nCompanies scan their code for security vulnerabilities, and are often met with a big pile of findings. On average, companies take 3 months to fix a vulnerability, and 60% of breach victims were aware of the unpatched vulnerability that was exploited.\n\nWhy? This is because engineers prioritize revenue-generating work, often leaving security fixes lower in priority. It is also really expensive for companies to fix vulnerabilities, costing them between $400 - $4,000 per fix. Unacceptable in today’s environment of more frequent security breaches and increasingly sophisticated attacks.\n\nSecurity teams kept complaining to us that all of their hundreds (yes hundreds) of security tools alert them about issues without giving them a way to actually resolve the issues automatically. This leaves security teams hanging high and dry.\n\n### 🐕 What does Corgea do?\n\nWe’re approaching one of the hardest problems in security with an entirely new approach. Unlike other tools that have been vehemently obsessed with just reporting on vulnerabilities, Corgea fixes them.\n\nCorgea connects to your existing SAST (Static application security testing) tools, like Snyk and Semgrep, and automatically writes code fixes for the reported vulnerabilities. Security teams can issue a pull request for the fix with a single click without disrupting any workflows. Engineers get the code fix for review, and well written descriptions helping them understand the changes.\n\nFor example, Corgea can rewrite code and issue PRs to fix SQL injection, path traversal, SSRF, or hundreds of other vulnerabilities. Here’s a brief demo to show Corgea’s capabilities.\n\n[Fixing Issues using Corgea - Watch Video](https://www.loom.com/share/318f06b97dac48628971bb52db372fb8)\n\n![](https://cdn.loom.com/sessions/thumbnails/318f06b97dac48628971bb52db372fb8-1702061376925-with-play.gif)\n\n### ✅ Empowering Security and Freeing up Engineering\n\nSecurity is often perceived as a blocker to engineering, and vice versa. With Corgea, we’re empowering security teams to be able to take action while also accelerating engineering velocity. This fundamentally changes the dynamic between teams.\n\n* **💪 Stronger code:** companies can now secure their products and reduce their fix times to hours without taxing engineering. Many prospects we spoke to have tens of thousands of vulnerabilities that now has a fighting chance in reducing them.\n* **🚀 Increase engineering velocity:** since Corgea is issuing the code fix, we see up to an 80% savings in time engineers spend fixing security issues. Security can now be an enabler to engineering rather than a blocker.\n* **💰 Slash Costs:** Research shows that a single vulnerability takes about $400 - $4,000 to fix. Corgea reduces these costs by up to 80%. Many enterprises can expect to save at least $10m in direct development costs. This doesn’t account for breach cost savings.\n\nOften, security software lacks a clear return on investment or value proposition. They are frequently bought due to fear, uncertainty, and doubt. At Corgea, our belief is that security software needs to lead first with real value and a clear ROI.\n\n### 🌟 How is Corgea different than existing solutions?\n\nThe current market is flooded with tools that overwhelm security teams with alerts and are not effective at fixing what they’re reporting.\n\n* General code-gen tools do not specialize in security and we’ve seen them inadvertently introduce security issues unbeknownst to the engineer. Additionally, they often do not integrate into a wider ecosystem of tools, preferring to focus solely on their own findings.\n* Most SAST & SCA vulnerability scanners do not remediate issues. Many tout this but it’s mostly limited to upgrading packages from one version to another to reduce a CVSS. This often introduces downstream challenges. If they do offer CWE remediation capabilities their success rates are very low because they’re often based on traditional AI methodologies. Finally, they do not integrate into a wider ecosystem of tools because they want to only serve their own findings.\n\nEnterprises often use multiple scanners like Snyk, Semgrep, Checkmarx, and may have multiple repository tools like Github, Gitlab and Bitbucket for their code. They need a solution that consolidates across their existing tools.\n\n### 👩🏽‍💻 Who is building Corgea?\n\nEach member of the Corgea team has experienced the challenges of addressing vulnerabilities in both security and engineering. We first hand witnessed the frustration of teams in wanting to deliver on high quality feature-rich secure software. Our goal is to shatter the silos between the teams and empower both of them rather than empower one at the expense of the other.\n\nIn our prior roles, we designed, secured and built mission-critical software products at companies like of Coupa, Autodesk, and PlanGrid.\n\n### 🎉 Want to try it?\n\nWe’re really excited to help companies in automating the security of their source code. [Use Corgea today](https://www.corgea.app/registration/) for free and without a credit card. Setup takes less than a few minutes. Feel free to [reach out to us](https://calendly.com/asadeddin/30min?month=2024-01) to chat and get a more in-depth demo.",
        "url": "https://www.ycombinator.com/launches/KAw-corgea-easily-and-quickly-fix-vulnerable-code-using-ai",
        "votes": 24,
        "created_at": "2024-01-16T16:32:31.262Z"
      },
      {
        "id": 73406,
        "title": "🐕 Corgea - Enterprise data security and privacy",
        "tagline": "Empowering enterprises to secure sensitive data",
        "body": "Hi everyone!\n\nWe’re building [Corgea](https://corgea.com?utm_source=yc&utm_medium=cpc&utm_campaign=yc_launch&utm_id=yc_launch) - a data security and privacy platform that automates sensitive data protection and compliance in the products companies make.\n\n### [**🚩**](https://emojipedia.org/triangular-flag/) **The Problem**\n\nCompanies process sensitive data, but don't know what it is, and who they share it with. They can’t protect and make private what they don’t know they have and what it is. Additionally data protection requires a lot of different stakeholders to come together, and they lack the proper tools to collaborate around it.\n\n### [**⚡**](https://emojipedia.org/high-voltage/) **How does it work?**\n\nCorgea monitors data traffic, classifies sensitive data (e.g., PII, PHI, payment data), and maps where it came from and who it's being shared with. It then tells you which data protection and privacy policies you need to comply with.\n\nCorgea is unique because you can set it up using 300+ out-of-the-box connectors in hours with no IT integration work.\n\n![uploaded image](/media/?type=post&id=73406&key=user_uploads/65616/f206fe9c-e12f-4749-9946-5567453cecb7)\n\n### [**🧰**](https://emojipedia.org/toolbox/) **What can you do with Corgea?**\n\nHaving this information at your fingertips gives you super powers to be able to:\n\n* Unlock revenue by making data protection your competitive advantage\n* Reduce your attack surface vector of your infrastructure\n* Accelerate breach response\n* Know which 3rd parties receive sensitive data\n* Understand your data compliance requirements\n* Receive alerts for out-of-policy data events\n* Perform data minimization\n\n![uploaded image](/media/?type=post&id=73406&key=user_uploads/65616/dad1dd93-4e77-4560-95b3-cda61b090fc6)\n\n### [**📖**](https://emojipedia.org/open-book/) **The Story**\n\nOne day, Ahmad received a massive excel sheet to fill out for a data privacy initiative. By the end of it, he had curated hundreds of data fields manually, and identified where they came from and where they were sent to. Feeling how inefficient this was for the company, he decided to automate it by building Corgea.\n\nAhmad previously led the payments product at Coupa and founded 2 other companies before Corgea. His last company was acquired by Coupa.\n\n![uploaded image](/media/?type=post&id=73406&key=user_uploads/65616/437a87ab-4bc7-47d8-b8a8-9c81c8f0d034)\n\n### **🚀 Team**\n\nAhmad is joined by an amazing team all with experience in working and building software in regulated data environments such as HIPAA, FedRamp, PCI, ITAR, and data privacy.\n\n![uploaded image](/media/?type=post&id=73406&key=user_uploads/65616/c345a149-ae43-472e-a09c-ff7895239bf9)\n\n### [**❤️**](https://emojipedia.org/red-heart/)**Interested?**\n\nIf you are a company processing sensitive data, and want to unlock revenue while being compliant then [**schedule a call with us**](https://l.linklyhq.com/l/1rIbH)!\n\nCompanies that sign up before Aug 30th are eligible for **50% off**!",
        "url": "https://www.ycombinator.com/launches/J5y-corgea-enterprise-data-security-and-privacy",
        "votes": 43,
        "created_at": "2023-07-25T14:47:43.101Z"
      }
    ]
  },
  {
    "id": 28864,
    "name": "Outset",
    "slug": "outset",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b9884cde2f06e46373b20cec776477bb5ff0f4c1.png",
    "website": "https://outset.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Outset offers AI-powered user interviews to conduct qualitative research. Traditional surveys are fast but lack depth while live interviews produce high quality data but are slow and expensive. Outset uses LLMs to lead interviews and synthesize results so researchers get high quality data 100 times faster. ",
    "one_liner": "AI-powered user interviews",
    "team_size": 30,
    "industry": "B2B",
    "subindustry": "B2B -> Analytics",
    "launched_at": 1683921315,
    "tags": [
      "SaaS",
      "B2B",
      "Market Research",
      "Enterprise Software",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
      "B2B",
      "Analytics"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Growth",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/outset",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/outset.json",
    "year_founded": 2022,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/outset-ai/",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b9884cde2f06e46373b20cec776477bb5ff0f4c1.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Garry Tan",
      "url": "https://www.ycombinator.com/people/garry-tan"
    },
    "founders": [
      {
        "user_id": 1327240,
        "full_name": "Aaron Cannon",
        "title": "Founder",
        "founder_bio": "Co-founder and CEO of Outset. Aaron was previously the head of product at Untapped and Triplebyte and played senior product roles at Tesla, Pebble, and Monitor Deloitte before that. He started his career as a tour manager for a band called Timeflies. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/a-a-ron-cannon/",
        "x_url": "https://twitter.com/AaronLCannon",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/47ab295ac1ee892b63713f73b9e454b706d119f7.jpg"
      },
      {
        "user_id": 925701,
        "full_name": "Michael Hess",
        "title": "Founder",
        "founder_bio": "Engineer-turned-firefighter-turned-founder",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/mchl-hess",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/021aab0d7cce35290c351b9553227b59e4b41f59.jpg"
      }
    ],
    "jobs": [
      {
        "id": 75468,
        "title": "Enterprise Account Executive",
        "url": "https://www.ycombinator.com/companies/outset/jobs/I4rpa3J-enterprise-account-executive",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$150K - $250K",
        "equity_range": "0.02% - 0.15%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 84174,
        "title": "Backend Software Engineer",
        "url": "https://www.ycombinator.com/companies/outset/jobs/1sK7UAT-backend-software-engineer",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$175K - $250K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "How Outset Turned AI Interviews Into a New Category",
        "url": "https://www.youtube.com/watch?v=x3XOeDckUX0",
        "date": "Aug 27, 2026"
      },
      {
        "title": "Customer research startup Outset raises $30M led by M12",
        "url": "https://www.axios.com/pro/enterprise-software-deals/2025/12/10/customer-research-chatbot-outset-radical",
        "date": "Dec 10, 2025"
      },
      {
        "title": "Outset raises $17M to replace human interviewers with AI agents for enterprise research | VentureBeat",
        "url": "https://venturebeat.com/ai/outset-raises-17m-to-replace-human-interviewers-with-ai-agents-for-enterprise-research/",
        "date": "Jun 11, 2025"
      },
      {
        "title": "Outset is using GPT-4 to make user surveys better | TechCrunch",
        "url": "https://techcrunch.com/2023/10/26/outset-is-using-gpt-4-to-make-user-surveys-better/",
        "date": "Oct 26, 2023"
      }
    ],
    "launches": [
      {
        "id": 78263,
        "title": "🎥 Outset: AI video interviews",
        "tagline": "Accelerate your research with AI-powered user interviews",
        "body": "**TL;DR** - [Outset](https://outset.ai/) is launching its biggest upgrade since our initial launch in June. AI-powered video interviews. Now you can get the depth of an interview at the speed and scale of a survey, all with the story-telling power of video.\n\n**Problem:** Researchers are stuck between two bad options today. Surveys are fast and scalable but don’t get the depth you need. Interviews go deep — particularly over video — but are stuck with a small sample size and are incredibly time-consuming.\n\n**Solution:** AI-powered interviews give you the best of both so you don’t have to choose. LLMs are incredibly powerful question-askers — with the input of a discussion guide, Outset’s AI interviewer leads deep, probing conversations with hundreds of participants at once, and synthesizes your results. You can test concepts or designs, ask about behaviors, or learn about underlying motivations…all while you sleep.\n\n**The addition of video:** While the words in an interview can give you answers, they rarely tell the whole story. Video is by far the best way to capture, internalize, and tell the stories of your users or the market you’re going after.\n\nIf you’re interested in learning more, hit us up! Check out more at <https://outset.ai/video-interviews>.\n\n![uploaded image](/media/?type=post&id=78263&key=user_uploads/1327240/a8d547b4-84c2-4c0e-9c09-d401d143d6b3)\n\n",
        "url": "https://www.ycombinator.com/launches/KMJ-outset-ai-video-interviews",
        "votes": 11,
        "created_at": "2024-02-08T00:43:13.041Z"
      },
      {
        "id": 72213,
        "title": "Outset - AI-powered user interviews",
        "tagline": "Turn weeks of work into (almost) instant insights",
        "body": "**TL;DR** - Getting answers to tough, qualitative questions from your users is extremely costly (in time _and_ money). Outset provides an AI-interviewer that conducts and synthesizes research interviews autonomously. Researchers get large-scale, in-depth data (almost) instantly.\n\n### **Our asks**\n\n* **Early startups: Give us feedback!** [Sign up here](https://outset.ai/login?utm_campaign=launch_yc), and get 50 AI interviews for free.\n* **Larger teams: Book a demo!** Researchers or product/design leaders at mid-market or enterprise companies are our sweet spot. Whether you have researchers on your team or have research-oriented friends, we’d love to meet them! [Book a demo here](https://calendly.com/a-a-ron1/outset-demo).\n\n### **Problem**\n\nWe’re Aaron and Michael, co-founders of Outset (YC S23).\n\nToday, user and market researchers face an unfortunate tradeoff: do you want FAST insights (surveys) or do you want DEEP insights (interviews)?\n\nWe’ve felt this struggle. As a strategy consultant at Deloitte, Aaron facilitated dozens of research projects for Fortune 500 companies. He and his team would spend hundreds of hours on each project just to schedule and moderate a few dozen interviews. And both of us have seen first-hand the need for even faster, deeper user insights at growing software companies.\n\n### **Solution**\n\nOutset gets you both — fast **and** deep insights — with AI-moderated research.\n\nImagine if you could ask hundreds of people a complex, qualitative question (like ‘What motivates you in your career?’) and get back an actionable synthesis of the answers? Now imagine if you could do that in less than a day…\n\nOur AI-moderated research platform uses GPT-4 to autonomously lead in-depth interviews with participants and analyze results. Designed for high-impact research teams at larger companies, Outset gathers valuable, large-scale qualitative data (almost) instantly, turning weeks of work into hours.\n\nOutset users load up an interview guide, share a link with their participants, and watch AI conduct hundreds of interviews at once. AI follows up with participants to clarify, probes on answers, and creates a conversational rapport where responses get deep.\n\n![uploaded image](/media/?type=post&id=72213&key=user_uploads/1327240/bab1ab87-3b42-462f-a046-8fbead045dff)\n\nFor every question, AI generates themes, tallies up counts, and highlights powerful quotes to uncover the story. What used to be days of dedicated transcript analysis work is now almost instant.\n\n![uploaded image](/media/?type=post&id=72213&key=user_uploads/1327240/52d11205-52b7-48e9-9c32-a91f35695242)\n\n### **Customer case study**\n\n**With Outset, WeightWatchers put together an interview guide, shared it out, and conducted and synthesized over 100 in-depth interviews in under 24 hours, saving them over a week of work.** The results are now being used to propose a new internal framework for user segmentation.\n\n_“The speed and quality of the responses were both outstanding. I expect Outset will afford my team the opportunity to significantly increase the speed of delivery and the volume of data they are able to collect.” - Wilson Readinger, Head of UX Research @ WeightWatchers_",
        "url": "https://www.ycombinator.com/launches/Imj-outset-ai-powered-user-interviews",
        "votes": 32,
        "created_at": "2023-06-12T19:57:44.481Z"
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    "id": 28869,
    "name": "Health Harbor",
    "slug": "health-harbor",
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    "website": "https://healthharbor.co/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We use generative AI to call insurance on behalf of healthcare clinics. We save clinics up to 40 hours of calls every week over existing outsourced human solutions. \r\n\r\nCompared to the existing solutions for benefits verifications: \r\n- We're faster -- by default, we have a turnaround of 24 hours compared to typically a 3 day turnaround for competitors\r\n- We can reach more payors -- as long as they have a phone line, we can support calling them for benefits. There's quite a few payors in both medical and dental (e.g. Seledent) that have yet to offer a digital retrieval of benefits\r\n- We're reliable and consistent -- there is no person-to-person variation or question skipping when it comes to working with software\r\n",
    "one_liner": "Using generative AI to call insurance for healthcare clinics",
    "team_size": 4,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Healthcare IT",
    "launched_at": 1689790147,
    "tags": [
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    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/health-harbor",
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        "full_name": "Alan Liu",
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        "founder_bio": "Alan is the CEO and co-founder of Health Harbor. As a technical CEO, He has five years of previous software experience in AI at Meta and Nuro. While building a hearing aid for himself at Yale, his experiences with medical insurance shaped his conviction to improve the billing process for doctors and patients. Outside of Health Harbor, Alan is an aspiring sushi chef. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/alanliu96",
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    "jobs": [
      {
        "id": 72444,
        "title": "Founding Engineer . ",
        "url": "https://www.ycombinator.com/companies/health-harbor/jobs/n3sggls-founding-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$100K - $170K",
        "equity_range": "0.25% - 1.00%",
        "experience": "3+ years",
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      {
        "id": 73410,
        "title": "Health Harbor - Automated billing for private medical practices",
        "tagline": "Never call insurance again.",
        "body": "### **Hey everyone! We are Nathan, Alan, and Gloria from Health Harbor.**\n\n**TL;DR:** Private practices spend hours every week talking with insurance trying to determine fee coverage so patients don't end up with a surprise bill. Health Harbor uses AI to automate billing for private practices by having an AI call insurance on their behalf. Check us out: [https://healthharbor.co](https://healthharbor.co/)\n\n![uploaded image](/media/?type=post&id=73410&key=user_uploads/1322783/392081ad-49f0-4086-a585-4d1df7292820)\n\n### **The Problem**\n\nImagine spending almost 100 million hours on the phone with medical insurance. Trust us, medical providers can. Over 230,000 private practices in the US spend more than 8 hours every week sitting on the line with insurance trying to determine the amount insurance will cover.\n\n### **The Solution**\n\nHealth Harbor relieves doctors’ offices from needing to call insurance. Instead they can simply submit requests through Health Harbor’s HIPAA certified portal.\n\n![uploaded image](/media/?type=post&id=73410&key=user_uploads/1322783/81fa57fd-de79-4030-9fe3-8e8d20fa99ee)\n\nFurthermore, by enabling admin to quickly request coverage on specific procedure codes, Health Harbor allows physicians to perform more procedures in fewer visits thus compressing revenue cycles from 4 weeks to 1 week.\n\n### **The Team**\n\nWe are Nathan, Alan and Gloria. Nathan comes from an early stage startup, Liminal Sciences, that went public with Hyperfine four years after its inception where he aligned the team on product strategy and built the product as a designer and software engineer. In Alan’s past life, he wrote software for AI systems like speaker identification at Meta’s Portal and prediction of occluded objects at Nuro. As for Gloria, she planned multi-year growth trajectories while at Bain and the Gates Foundation. \n\n### **The Ask**\n\n1. Customer Intros: Please reach out to us at [founders@healthharbor.co](mailto:founders@healthharbor.co)\n   * If you currently call health insurance,\n   * If you personally know anyone who complains about calling insurance (including dentists and any other private practice physicians),\n   * If you know anyone in private equity firms that manage private practices.\n2. Follow us on [LinkedIn](https://www.linkedin.com/company/health-harbor/)",
        "url": "https://www.ycombinator.com/launches/J62-health-harbor-automated-billing-for-private-medical-practices",
        "votes": 29,
        "created_at": "2023-07-26T15:36:05.000Z"
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    "website": "https://fleetworks.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "FleetWorks is rebuilding the $1 trillion freight marketplace with AI.\r\n\r\nEvery year, companies spend over a trillion dollars moving freight across the U.S. — but the system for matching trucks with jobs is still slow, manual, and fragmented.\r\n\r\nFleetWorks is fixing that. We’re turning today’s chaotic freight market into a modern, intelligent marketplace — one where AI agents replace the endless phone calls, texts and emails and match jobs to trucks instantly.",
    "one_liner": "AI enabled marketplace matching trucks with jobs",
    "team_size": 20,
    "industry": "B2B",
    "subindustry": "B2B -> Supply Chain and Logistics",
    "launched_at": 1692114463,
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      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/fleetworks",
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    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/94275825/",
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    "primary_partner": {
      "name": "David Lieb",
      "url": "https://www.ycombinator.com/people/david-lieb"
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    "founders": [
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        "user_id": 396582,
        "full_name": "Paul Singer",
        "title": "Founder",
        "founder_bio": "Automating the manual parts of logistics management. Previously PM at Uber Freight where I led the tech teams managing carrier quality.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/paul-singer",
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      {
        "user_id": 1231698,
        "full_name": "Quang Tran",
        "title": "Founder",
        "founder_bio": "Prior to FleetWorks, worked on moonshot projects at Airbnb. ",
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        "linkedin_url": "https://linkedin.com/in/quangtran20",
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    "jobs": [
      {
        "id": 85433,
        "title": "Senior Software Engineer",
        "url": "https://www.ycombinator.com/companies/fleetworks/jobs/weAW1WX-senior-software-engineer",
        "location": "San Francisco, CA, US / Chicago, IL, US",
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        "salary_range": "$160K - $240K",
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        "visa": "Will sponsor",
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        "title": "Senior Product Engineer  ",
        "url": "https://www.ycombinator.com/companies/fleetworks/jobs/DIAcWBE-senior-product-engineer",
        "location": "San Francisco / Chicago",
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        "url": "https://www.ycombinator.com/companies/fleetworks/jobs/hLXKyvN-senior-backend-software-engineer",
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        "url": "https://www.ycombinator.com/companies/fleetworks/jobs/bBwSR4j-senior-product-manager",
        "location": "San Francisco",
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    "news": [
      {
        "title": "FleetWorks raises $17M to match truckers with cargo faster | TechCrunch",
        "url": "https://techcrunch.com/2025/10/14/fleetworks-raises-17m-to-match-truckers-with-cargo-faster/",
        "date": "Oct 14, 2025"
      },
      {
        "title": "Twilio Announces the Honorees of the 2024 AI Startup Searchlight Awards | Twilio",
        "url": "https://www.twilio.com/en-us/press/releases/AI-Startup",
        "date": "Jan 29, 2024"
      },
      {
        "title": "5 neat AI startups from Y Combinator's Summer 2023 batch | TechCrunch",
        "url": "https://techcrunch-com.cdn.ampproject.org/c/s/techcrunch.com/2023/09/06/5-neat-ai-startups-from-y-combinators-winter-2023-batch/amp/",
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      {
        "id": 74121,
        "title": "FleetWorks - Automating manual freight brokerage operations",
        "tagline": "We automate the 1B+ phone calls and emails that keep freight moving",
        "body": "**TL;DR:** \n\nFleetWorks helps freight operators focus on high-value work by automating routine calls and emails. Our AI-powered platform can leverage email or use a human-like voice to make tracking calls, cover loads, and reschedule appointments.\n\nHi everyone, we are Paul and Quang - we’re on a mission to help freight brokers and forwarders become more efficient\n\n![uploaded image](/media/?type=post&id=74121&key=user_uploads/396582/2100c87b-c4eb-4d6c-a5a6-d3ac56e6338a)\n\n### **❌ The Problem:**\n\nGetting freight from point A to point B is still largely handled by humans. Digitized brokers have driven automation, but most day-to-day operations are still handled over phone and email between millions of humans around the world. Given this overhead, freight brokerages operate on low single-digit margins.\n\nThree roles in a freight brokerage spend a significant part of their day on repetitive tasks:\n\n1. **Track and trace agents** → Identify loads that are not being tracked automatically via apps, telematics, or aggregators. They reach out via phone or email to the driver or dispatcher for an update.\n2. **Load coverage and carrier sales** → Handle inbound/outbound calls to/from trucking companies that are interested to book loads. Information like weight, commodity, and appointment time is shared. Then the parties negotiate on price.\n3. **Appointment schedulers** → Set appointment times for unscheduled loads by calling or emailing facilities, or logging into customer portals. Due to unforeseen issues, 20-30% of appointments need to be rescheduled at the last minute resulting in even more work.\n\nTo illustrate this from a trucking company point of view, below is a short video that shows a dispatcher calling various brokers:\n\n<https://youtu.be/5KzBipLvH3c>\n\n### **✨ Our Solution:**\n\nFleetWorks sits alongside a broker’s phone, email, and transportation management system (TMS). Calls and emails can be triggered automatically or manually, and relevant information is automatically pushed to the TMS or email for operators to take action.\n\nFleetWorks can automatically \n\n1. **Book loads**: Share load details, discuss price, and book the carrier.\n2. **Track loads**: Call the driver and update the account team on issues.\n3. **Schedule appointments**: Email or call facilities that don’t have a booking portal.\n\n### **💲 The Opportunity:**\n\nThere are 150 large brokers in the U.S. (>$100M gross revenue) and they are taking share from small brokers. These brokers alone spend $11B on operational headcount and 70% of headcount is involved in repetitive work.\n\nThese operators conduct 1 billion phone calls per year to manage load execution. Today, these calls cost $5-15 depending on complexity. At a rate of $1 per successful call (10x cheaper than the status quo), we believe our near-term market opportunity is $1B.\n\nGiven the $11B of spend on operational headcount, FleetWorks provides significant margin expansion for our customers. \n\n### **🙏 Our ask:**\n\nIf you or anyone you know works in freight transportation, drop us a note at [founders@fleetworks.ai](mailto:founders@fleetworks.ai). We’d love to learn more about the operation!",
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        "created_at": "2023-08-15T17:50:22.695Z"
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    "id": 28883,
    "name": "Margin",
    "slug": "margin",
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    "website": "https://usemargin.com/",
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    "long_description": "Margin is empowering beer, wine & liquor stores with amazing technology. We bring enterprise-level sophistication to liquor retailers, giving them one integrated operating system for every part of their business. We increase profits for liquor stores who have been underserved by technology.",
    "one_liner": "POS & operating system that makes liquor stores more money",
    "team_size": 10,
    "industry": "B2B",
    "subindustry": "B2B -> Retail",
    "launched_at": 1690953624,
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    "year_founded": 2023,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/marginpos",
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      {
        "user_id": 992509,
        "full_name": "Param Bidja",
        "title": "Founder",
        "founder_bio": "Co-founder and CEO @ Transformity. Previously senior engineer at AWS. Love my parents so much that I'm building a company for them :)",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/parambidja",
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      },
      {
        "user_id": 999436,
        "full_name": "Jay Patel",
        "title": "Founder",
        "founder_bio": "Co-Founder and CTO @ Transformity. Ex-Software Engineer at Amazon. Owner of multiple retail businesses. Active GitHub Contributor.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/patel-jay/",
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        "url": "https://www.ycombinator.com/companies/margin/jobs/TBZpYfY-software-engineer-ii",
        "location": "New York, NY, US",
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      {
        "id": 73720,
        "title": "🍷 Transformity - Modern point-of-sale for liquor stores",
        "tagline": "Helping liquor stores save time and grow their business.",
        "body": "### Problem\n\nLiquor stores run inefficiently. Operators rely on paper and phone interactions with suppliers, do not accurately maintain inventory and prices, miss valuable discount periods, struggle to monitor regulatory changes, and do not capitalize on new revenue streams. \n\n### Solution\n\nTransformity is a point-of-sale system purpose-built for liquor stores that integrates with their suppliers, automates manual work, and opens new sources of revenue. Transformity provides:\n\n1. **Supplier integration**: Provides a digitized catalog from liquor wholesalers, including all available products, pricing & discounts.\n2. **Purchasing decisions**: Generates purchase orders that optimize inventory based on pricing and sales.\n3. **Automatic inventory tracking**: Receives digital invoices to seamlessly maintain inventory and prices.\n4. **Regulatory monitoring**: Automatically tracks monthly changes to liquor regulatory requirements.\n5. **Additional revenue streams**: Integrates with delivery and e-commerce platforms.\n\n### Customer response\n\n> _“Transformity is exactly what we needed. A system built by liquor store owners for liquor stores.”_ - Rason Bell, Little Rooster Liquors\n\n![uploaded image](/media/?type=post&id=73720&key=user_uploads/992509/dedbfa6c-14d5-4e24-a281-bb015ded6a9b)\n\n_Our first user in action!_\n\n### Team\n\nJay and Param both come from families who have owned liquor stores across 3 states for over 20 years. They grew up working at their parents’ stores. They’ve been close friends since college and worked as engineers @ Amazon.\n\n### Our request\n\nIf you know anyone in the liquor industry, we’d love to chat! Even connecting us to your favorite liquor store would help. Please reach out at [param@transformity.tech](mailto:param@transformity.tech).",
        "url": "https://www.ycombinator.com/launches/JB2-transformity-modern-point-of-sale-for-liquor-stores",
        "votes": 26,
        "created_at": "2023-08-02T17:28:46.474Z"
      }
    ]
  },
  {
    "id": 28886,
    "name": "Cardinal Gray",
    "slug": "cardinal-gray",
    "former_names": [
      "Cardinal Gray Incorporated"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/dd23108e8186366e29a1827c228ceddd75097d20.png",
    "website": "https://www.cardinalgray.com/",
    "all_locations": "New York City, NY, USA",
    "long_description": "When a lender gives out a car loan, they need to file a lien with their borrower’s DMV. This is difficult because the process varies by state and county. We’ve leveraged LLMs to help lenders automate lien filings for over $1B of loans.",
    "one_liner": "Automating lenders' interactions with the DMV",
    "team_size": 6,
    "industry": "Fintech",
    "subindustry": "Fintech -> Credit and Lending",
    "launched_at": 1687970738,
    "tags": [
      "Enterprise Software",
      "Consumer Finance",
      "Automation",
      "AI",
      "Automotive"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
      "Fintech",
      "Credit and Lending"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/cardinal-gray",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/cardinal-gray.json",
    "year_founded": 2022,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/cardinal-gray/",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/dd23108e8186366e29a1827c228ceddd75097d20.png",
    "app_video_url": null,
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    "company_photos": [],
    "primary_partner": {
      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
    },
    "founders": [
      {
        "user_id": 1136419,
        "full_name": "Jack Chapman",
        "title": "Founder",
        "founder_bio": "CEO @ Cardinal Gray",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/jack-chapman-2b7b75153",
        "x_url": "https://x.com/chapolantern",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/87582e783c75d6f4de9e3bdb90d15c0513018c2c.jpg"
      },
      {
        "user_id": 1479733,
        "full_name": "Muhammad Khattak",
        "title": "Founder",
        "founder_bio": "Cofounder @ CG | Prev. R&D Engineer at Veridise, Stanford Philosophy",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/muhammad-khattak-b87a73156/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/40007bd00d02fef789ad9f4d0ec2f62aa7b70f29.jpg"
      },
      {
        "user_id": 1163950,
        "full_name": "Grant Pease",
        "title": "Founder",
        "founder_bio": "Cofounder @ Cardinal Gray\n",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/grantpease1017brr",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/37a1e83754a66d84681c97389898e76cc1e2d256.jpg"
      }
    ],
    "jobs": [
      {
        "id": 82553,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/cardinal-gray/jobs/AcQcqtv-founding-engineer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $160K",
        "equity_range": "0.50% - 2.00%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Amazon Web Services (AWS)",
          "HTML",
          "JavaScript",
          "React",
          "TypeScript",
          "Software Architecture",
          "Prompt Engineering"
        ]
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 74164,
        "title": "Cardinal Gray - Helping auto lenders instantly send title data to DMVs",
        "tagline": "Auto lenders spend 30M hours a year sending title documents to 50 different state DMVs. Cardinal Gray automates this.",
        "body": "### **Our Team**\n\n![uploaded image](/media/?type=post&id=74164&key=user_uploads/1136419/54416cc8-471b-4684-855a-0b4cd7f37fe0)\n\nHey! We’re Grant, Muhammad, and Jack. We’re building titling tools for auto lenders. For example, when a loan gets paid off, we instantly release the lien placed on the car.\n\nBefore we jump into it, you might be wondering: what is a lien? A lien is a legal claim auto lenders file with the DMV to establish their legal claim over a borrower's car and secure the loan payments, but managing this collateral with the DMV is a headache for lenders.\n\n### **The Problem**\n\nAuto lenders spend 30 million hours a year sending title documents to 50 different state DMVs. At Cardinal Gray, we’re automating this.\n\nTitle work is time intensive because lenders’ systems are not connected to DMV systems. Lenders spend >$2 Billion each year on employee labor to manually aggregate and forward the relevant data and documents to state governments.\n\nFor lenders, a slow lien filing process can lead to billions of dollars in unsecured loans. A slow lien release process creates tension with dealerships and customers because car ownership can’t be transferred until a lien gets released.\n\nOn top of this, manual processes lead to errors. At any given time, 20% of lien filings are inaccurate.\n\n### **Our Product**\n\nWe fix this by interfacing with lender and DMV databases. Our software monitors a lender’s loan data, and when a loan gets created or paid off, we ping the appropriate DMV to file or release the lien. When a DMV creates or edits data, we reference this change with the bank and resolve discrepancies before they cause issues.\n\n### **How We Found This**\n\nA year ago, we were trying to create a decentralized marketplace for car loans. We actually applied to YC’s W23 batch with this idea, and we were told that it was too complex and that it was unclear why it required blockchain. They were right. We were boiling the ocean.\n\nAs we continued investigating auto lending, we discovered dealerships originate roughly 80% of all auto loans, and lenders automate credit decisions and funding at the same rate. We realized that a major bottleneck to automated car financing was manual title work, so we did a deep dive into DMV systems. As it turns out, this work can also be automated.\n\n### **Our Ask**\n\n* **Are you in auto lending?** We’d love to meet. Shoot us an email at [founders@cardinalgray.com](mailto:founders@cardinalgray.com)\n* **Do you know anyone in auto lending?** We’d love to be introduced. We have a strong pipeline, but the more the merrier.\n\n🧯 get in touch / [cardinalgray.com](http://cardinalgray.com) / [founders@cardinalgray.com](mailto:founders@cardinalgray.com)",
        "url": "https://www.ycombinator.com/launches/JIC-cardinal-gray-helping-auto-lenders-instantly-send-title-data-to-dmvs",
        "votes": 48,
        "created_at": "2023-08-16T18:28:21.150Z"
      }
    ]
  },
  {
    "id": 28887,
    "name": "Skyvern",
    "slug": "skyvern",
    "former_names": [
      "Wyvern AI (Previously Ikonomos)",
      "Wyvern AI"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/87d977bf0d4b7032c71830901e118beb0ca9946c.png",
    "website": "https://www.skyvern.com/",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "Skyvern helps companies automate browser based workflows using LLMs and Computer Vision, fully automating manual workflows and replacing brittle or unreliable scripts.\r\n\r\nExamples include:\r\n1. Automating materials procurement from commerce websites\r\n2. Completing complex multi-step workflows (ie getting an insurance quote from Geico.com)\r\n3. Automatically logging into portals and downloading invoices\r\n4. Navigating legacy content systems to do data extraction or data entry",
    "one_liner": "Open Source AI Agent to automate browser workflows via an API",
    "team_size": 11,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1687648021,
    "tags": [
      "Robotic Process Automation",
      "Workflow Automation",
      "Open Source",
      "API",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
      "B2B",
      "Infrastructure"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Fully Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/skyvern",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/skyvern.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/95726232",
    "x_url": "https://x.com/skyvernai",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/87d977bf0d4b7032c71830901e118beb0ca9946c.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
    },
    "founders": [
      {
        "user_id": 1120458,
        "full_name": "Suchintan Singh",
        "title": "Founder",
        "founder_bio": "I'm the founder of Skyvern. We help companies automate complex workflows using AI agents and computer vision.\n\nIn the past, I've built the ML Platforms at both Faire and Gopuff, which generated over $100M of GMV across their two businesses, \n\nI also love bad jokes and puns, so if you have any or are in the need of any feel free to hit me up!",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/suchintansingh/",
        "x_url": "https://x.com/suchintan",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e6e042c66b8d37bbdbefedec94f3d36e11cbdfda.jpg"
      },
      {
        "user_id": 1157498,
        "full_name": "Shuchang Zheng",
        "title": "Founder",
        "founder_bio": "I am the CTO and cofounder of Skyvern. For the past 5 years, I've been building developer and platform tools.\n\nAt Lyft, I built testing tools (simulation platform, load test framework, and end to end test framework) used by 1000+ engineers to boost dev productivity, ensure Lyft doesn't go down during peak events, and reduce infra cost.\n\nAt Patreon, I helped scale the payment and db infra to process 20M+ transactions per month and free 100+ engineers from the 3-day monthly code freeze ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/shuchang-zheng-76784958",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ff5b3572753bb2ab538c8c114dbd6cad084790f6.jpg"
      }
    ],
    "jobs": [
      {
        "id": 76074,
        "title": "AI Agent Builder / Workflow Wizard",
        "url": "https://www.ycombinator.com/companies/skyvern/jobs/YFDIaHd-ai-agent-builder-workflow-wizard",
        "location": "CA / Remote (CA)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$60K - $85K CAD",
        "equity_range": "0.05% - 0.10%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 95748,
        "title": "Founding SDR, AI-Powered Outbound",
        "url": "https://www.ycombinator.com/companies/skyvern/jobs/3P7vhT3-founding-sdr-ai-powered-outbound",
        "location": "US / CA / Remote (US; CA)",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$60K - $75K",
        "equity_range": "0.01% - 0.10%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 95749,
        "title": "Founding Account Executive - AI Infrastructure",
        "url": "https://www.ycombinator.com/companies/skyvern/jobs/9eucL4u-founding-account-executive-ai-infrastructure",
        "location": "US / CA / Remote (US; CA)",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$120K - $300K",
        "equity_range": "0.10% - 0.20%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 95750,
        "title": "Founding Developer Marketing – Open Source AI",
        "url": "https://www.ycombinator.com/companies/skyvern/jobs/1qRTlVx-founding-developer-marketing-open-source-ai",
        "location": "US / CA / Remote (US; CA)",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$100K - $150K",
        "equity_range": "0.10% - 0.30%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 105883,
        "title": "Rustwright: Rewrite of Playwright in rust that uses 70% less memory (and is 2.55x faster)",
        "tagline": "Remove the subprocess and save so much memory",
        "body": "Hey everyone, Suchintan from Skyvern (YC S23). We run browser automation for AI agents at scale, and we're launching [Rustwright](https://github.com/Skyvern-AI/rustwright): [Playwright on an in-process Rust CDP engine.](https://github.com/Skyvern-AI/rustwright) The engine consumes 70% less memory than Playwright, and is 2.55x faster to boot.\n\n**We built this to improve Skyvern’s memory footprint**, and thought this would be independently valuable to the broader community\n\nThe whole idea fits in two lines:\n\n```\nplaywright-python:  your code ──pipe──► Node driver (separate process) ──CDP──► Chromium\nrustwright:         your code ────────────────── raw CDP ─────────────────────► Chromium\n```\n\nRemoving the driver changes three things:\n\n1. **Less abstraction.** The driver subprocess and its pipe speaks CDP straight to Chromium. In our runs, the new engine is 2.55× and **consumes 70% less memory** than the equivalent playwright process\n2. **No Playwright driver fingerprint.** The driver never loads, so its signatures never appear: no `__playwright__binding__` globals, no `Runtime.enable` on the default path (the well-known console-serialization leak). The claim is deliberately narrow: no Playwright-specific automation fingerprint, not \"undetectable\"\n3. **A single rust core**: a single Rust core backs both language bindings (Python with sync and async; Typescript) with plans to expand to many popular languages (Ruby / Go / Java to name a few). Within the supported surface, migration is often a one-line import change — `from rustwright.sync_api import sync_playwright.`Clicks and typing go through real CDP input events, not synthetic DOM calls, and cross-origin iframes auto-attach with `frame_locator()` routing across origins.\n\n[playwright-python](https://github.com/microsoft/playwright-python) pipes every call through a bundled Node driver process. [Rustwright](https://github.com/Skyvern-AI/rustwright) drives Chromium over raw Chrome DevTools Protocol from a Rust core, an async CDP client on Tokio (WebSocket, plus opt-in Unix-pipe transport), exposed in-process through thin PyO3 bindings for Python and napi-rs bindings for Node.\n\nStatus: alpha, Chromium-only\n\n**Want to give it a try? Change one line of code!**\n\n```jsx\npip install rustwright\n\n- from playwright.sync_api import sync_playwright\n+ from rustwright.sync_api import sync_playwright\n```\n\n⭐ Give it a try here and let us know what you think: <https://github.com/Skyvern-AI/rustwright>",
        "url": "https://www.ycombinator.com/launches/RXn-rustwright-rewrite-of-playwright-in-rust-that-uses-70-less-memory-and-is-2-55x-faster",
        "votes": 8,
        "created_at": "2026-07-15T17:10:22.738Z"
      },
      {
        "id": 94724,
        "title": "Skyvern: Asking AI to build scrapers should be easy right?",
        "tagline": "Let AI maintain those pesky scrapers",
        "body": "![uploaded image](/media/?type=post&id=94724&key=user_uploads/1120458/6473b24c-3925-48bf-80c8-00430f81e5ef)\n\n**TL;DR - We just gave Skyvern the ability to write and maintain its own code, making it 2.7x cheaper and 2.3x faster. Give it a prompt (or a series of prompts), and the AI will generate and maintain playwright code while it runs. Try out the via [Open Source](https://github.com/Skyvern-AI/Skyvern?ref=skyvern.com) or [Cloud](http://app.skyvern.com/?ref=skyvern.com)**\n\n💡 **Recap: What is Skyvern?** It’s [an open source tool](https://github.com/Skyvern-AI/Skyvern?ref=skyvern.com) that helps companies automate things in the browser with AI. We use computer vision + LLMs to turn prompts into automations that run. We serve both technical and non-technical customers, and have helped them automate things like applying to jobs, fetching invoices or utility bills, filling out government forms, and purchase products from hundreds of different websites.\n\n# **Asking AI to build scrapers should be easy right? Right??**\n\n![](https://www.skyvern.com/blog/content/images/2025/10/image---2025-10-17T132106.418.png)\n\nSome of you may remember our [Hackernews launch](https://news.ycombinator.com/item?id=39706004&ref=skyvern.com) from last year. All of the discussion circled around the same idea: “Building the automation is the hard part… we just want Skyvern to write the code”.\n\nWe agreed. Keeping the agent in the loop means invoking an expensive and non-deterministic LLM call on every run. If Skyvern could compile its reasoning into code and run that instead of keeping an LLM in the loop, automations would become **faster, cheaper, and more reliable.**\n\nSo we tried to teach Skyvern to do exactly that… but it turns out, asking AI to write code the same way you and I would wasn’t easy. We ran into two big problems:\n\n1. Requirements for automations are ambiguous at best, and misleading at worst — even humans struggle to define them clearly\n2. The internet is messy: drop-downs masquerade as textboxes, checkboxes that are always checked, and search bars that are secretly buttons.\n\nGetting an agent to navigate that chaos, understand intent, and still produce maintainable code came through one major breakthrough: **reasoning models**.\n\nReasoning models unlock two important capabilities:\n\n1. They [boosted the agent accuracy](https://www.skyvern.com/blog/web-bench-a-new-way-to-compare-ai-browser-agents/) enough for production use\n2. They let the agent leverage its trajectory to write a script resembling something an engineer would write\n\n# **This is too abstract. When does this matter?**\n\nBefore we dive into the solution, let’s look at a real-world example: Registering new companies for payroll with [Delaware.gov](http://Delaware.gov)\n\n![](https://www.skyvern.com/blog/content/images/2025/10/image---2025-10-17T132100.688.png)\n\nHere’s a simple prompt that reliably powers the workflow:\n\n> _Your goal is to fill out the EIN registration form. Fill out the form until you're at the form confirmation page with a summary of all information. Your goal is complete once you see a summary of all of the information._\n\nein_info: {{ein_info}}\n\nWriting deterministic code should be easy right?\n\nHere’s what a naive AI Generated implementation looks like:\n\n![](https://www.skyvern.com/blog/content/images/2025/10/image-1.png)\n\nAnd here’s where it falls apart almost immediately.\n\n1. Coupled interactions. Choices on this form aren’t independent. Sometimes radio buttons are linked together, but aren’t represented as such in the DOM. Other times, different buttons trigger different follow-up questions, so a static script breaks as soon as you pick something unexpected.\n\n![](https://www.skyvern.com/blog/content/images/2025/10/image---2025-10-17T132055.697.png)\n\n**Random failures.** Government websites love to go down at night, change field layouts between sessions, or throw you a “try again later” page mid-run.\n\n![](https://www.skyvern.com/blog/content/images/2025/10/image---2025-10-17T132051.371.png)\n\n### **Coupled interactions**\n\nConsider the radio button example above. Any seasoned developer would know that these legal structures are linked together. You’d instinctively model them as a finite set of entity types, and create a tree-like script that branches into different paths based on the input.\n\nBut that abstraction doesn’t exist for an agent. To agents like Skyvern, this is just a list of buttons. The relationship between the users’ input and the available set of legal structures doesn’t exist ahead of time — it must be discovered at runtime.\n\nThe agent has to infer, from the DOM and the page transitions, which choices lead where.\n\n### **Random non-deterministic failures**\n\nAgents shine when things don’t go as planned. We don’t want to hard code every single edge case when compiling an agent into a deterministic script.. because we’re back to writing brittle scripts. Instead, we want to leverage agents for these situations.\n\nTake this government form: Delaware’s portal is unavailable at night or over the weekend. Or sometimes, it’ll require you to call the IRS or sending them a fax / mail to proceed with the form. You want some intelligence in the loop to handle these scenarios gracefully.\n\n# **So.. how can you codify this in an agent?**\n\nAfter a few runs like the ones above, we realized “have the agent write code” wasn’t enough. We needed to copy how developers actually work: figure out the flow, add logic where it breaks, and bake that behavior into Skyvern.\n\nSo we split its job into two:\n\n1. Explore mode, where the agent learns how to navigate a website for a given flow, generating any metadata necessary for it to operate in subsequent runs\n\nReplay mode, it compiles those learnings into deterministic Playwright and runs fast and cheap, only falling back to the agent when something new or weird happens\n\n![](https://www.skyvern.com/blog/content/images/2025/10/image---2025-10-17T132046.901.png)\n\n### **Explore once: get the agents’ trajectory**\n\nLet’s start with a plain prompt for Skyvern. The `ein_info` field is just a json blob with all of a company’s metadata (entity type, responsible party, etc). The goal of this explore run isn’t to finish fast, it’s to learn the flow and record a trajectory we can compile later.\n\n> _Go to [https://sa.www4.irs.gov/modiein/individual/index.jsp](https://sa.www4.irs.gov/modiein/individual/index.jsp)\\\n> and generate an SS4 with the following information: {{ ein_info }}_\n\n### **Step 1: generate a naive script**\n\nFrom that trajectory, the agent can spit out a basic Playwright script. It runs, but it’s brittle—no context, no fallbacks:\n\n![](https://www.skyvern.com/blog/content/images/2025/10/image-2.png)\n\n**What’s missing:** it doesn’t know _why_ it’s clicking “Corporation,” what should appear next, or how to recover if the DOM shifts (or the portal is down). That’s the gap we close in the next section (intent metadata + deterministic replay with targeted fallbacks).\n\n### **Step 2: Ask the agent to write down its intention so we can re-use it later**\n\nExploration gives us a working script, but it’s brittle because it only knows _what_ to click, not _why_. The fix was to capture **intents** to every action so the run can recover when the page shifts.\n\n![](https://www.skyvern.com/blog/content/images/2025/10/image---2025-10-17T132041.611.png)\n\nTo get to this intention, we generate 2 additional parameters at runtime: `user_detail_query` and `user_detail_answer` to capture the **essence** of the action (beyond the interaction itself)\n\n![](https://www.skyvern.com/blog/content/images/2025/10/image-3.png)\n\nThen, we pass it through another LLM call to reverse engineer the action into the following:\n\n![](https://www.skyvern.com/blog/content/images/2025/10/image-4.png)\n\nIf this fails at replay time, we don’t blindly guess a new selector—we reuse the **intention** to recover:\n\n1. Try an alternate selector for the same intention (looser match, nearby label, aria text)\n2. If the flow changed, ask the model **once**: “How do I ‘Select legal structure: Corporation’ on this page?”\n3. If we hit a dead end (downtime/error), fallback to the original prompt to decide what to do next\n\nAt this point, we have generated code that looks like this:\n\n![](https://www.skyvern.com/blog/content/images/2025/10/image-5.png)\n\n### **Step 3 - Run it on the cheap**\n\nNow that we have a plan and a fallback in place, subsequent runs are all using plain playwright — no LLM in the loop.\n\nWe benchmarked this across our customers and saw:\n\n* Average automation run time goes from 278.95s → 119.92s (2.3x faster)\n* Average run cost goes from $0.11 → $0.04 (2.7x cheaper)\n* And maybe more important than either: **runs are now deterministic.**\n\n![](https://www.skyvern.com/blog/content/images/2025/10/Screenshot-2025-10-16-at-14.18.17.png)\n\n![](https://www.skyvern.com/blog/content/images/2025/10/Screenshot-2025-10-16-at-14.18.07-1.png)\n\n# **How is this being used in the wild?**\n\nSkyvern’s “explore → replay” pattern is already running quietly inside a bunch of workflows that used to require brittle, human-maintained scripts. A few examples:\n\n1. **Invoice Downloading**\n\nAgents log into vendor or utility portals with 1000s of different accounts, navigate to the right billing period, and pull invoices. When layouts or date filters change, the intent metadata lets them recover automatically instead of failing.\n\n2. **Purchasing**\n\nTeams use it to automate repeat purchases — think renewing software licenses or buying supplies through the same vendor dashboard each month. The first run learns the checkout path, the fallbacks handle the variety of products, and the replays run deterministically, flagging if a price or SKU changes.\n\n3. **Data Extraction from Legacy Systems**\n\nSkyvern navigates authenticated dashboards, scrapes tables or PDFs, and pushes the structured output into into a database via Webhooks. If the DOM shifts, Skyvern reuses the same intention (“extract transaction rows”) to remap selectors.\n\n4. **Government Form Filling**\n\nFrom payroll registration to business license renewals, Skyvern handles long, multi-step government forms that occasionally break static scripts. Explore mode figures out the flow once replay mode repeats it safely.\n\n## **What’s next? Is it perfect today?**\n\nNot quite. The architecture works well, but there are still a few places where we can make it smarter and cheaper:\n\n1. **Analyze groups of runs when generating code**.\n\nRight now, we don’t aggregate insights across failures. Each replay fixes itself in isolation. If we could analyze _many_ runs together, spotting which selectors break, which flows diverge, we could automatically generalize better code and reduce the need for fallbacks. That’s especially useful for workflows that branch like trees (different inputs → different paths).\n\n2. **Cache data extractions**.\n\nDuring data extraction, we still rely on the LLM to “read” the page each time because many of our users want to both extract and summarize information at the same time. For example, if you ask Skyvern to pull the summaries of the top five posts on Hacker News, it currently parses the DOM from scratch. We’d like to trace _how_ the model found those elements (which selectors, which substrings) and reuse that mapping. That alone could make scraping and data-harvesting flows an order of magnitude cheaper.\n\n3. **Expose everything through the SDK.**\n\nWe think it will be valuable for developers using the Skyvern SDK to auto-generate these scripts for any ai actions / workflows they run, and use them automatically for subsequent runs. It currently requires a Skyvern server running, but soon it will be the default behaviour.\n\n## **Give it a try!**\n\nRun it via our [Skyvern Open Source](https://github.com/Skyvern-AI/Skyvern?ref=skyvern.com) or [Skyvern Cloud](http://app.skyvern.com/?ref=skyvern.com) versions and let us know what you think!",
        "url": "https://www.ycombinator.com/launches/Odo-skyvern-asking-ai-to-build-scrapers-should-be-easy-right",
        "votes": 12,
        "created_at": "2025-10-17T18:15:33.896Z"
      },
      {
        "id": 90850,
        "title": "📊 Web Bench - A new way to compare AI Browser Agents",
        "tagline": "Expanding on the foundations of WebVoyager",
        "body": "**TL;DR:** [Web Bench](https://www.webbench.ai) is a new dataset to evaluate web browsing agents that consists of 5,750 tasks on 452 different websites, with [2,454 tasks being open sourced.](https://github.com/Halluminate/WebBench/tree/main) Anthropic Sonnet 3.7 CUA is the current SOTA, with the detailed [results here](https://eval.skyvern.com/?evaluation_target=skyvern_final_eval_skyvern_2_0&page=1).\n\nOver the past few months, Web Browsing agents such as [Skyvern](https://www.skyvern.com), [Browser-use](https://browser-use.com/) and [OpenAI's Operator (CUA)](https://operator.chatgpt.com/) have taken the world by storm. These agents have been used in production for a variety of tasks, from helping people apply to jobs, downloading invoices, and even doing SS4 filings for newly incorporated companies.\n\n![](https://blog.skyvern.com/content/images/2025/05/onlayer-gif.gif)\n\n_Skyvern attempting to purchase a product_\n\n![](https://blog.skyvern.com/content/images/2025/05/irs_demo.gif)\n\n_Skyvern attempting to fill out the IRS form_\n\nMost agents report state of the art performance, but we find that browser agents still struggle with a wide variety of tasks, particularly ones involving authentication, form filling and file downloading.\n\nThis is because the standard benchmark today ([WebVoyager](https://arxiv.org/abs/2401.13919)) focuses on read-heavy tasks and consists of **only** **643 tasks across only** **15 websites (out of 1.1 billion possible websites!).** While a great starting point, the benchmark does not capture the internet’s adversarial nature towards browser automation and the difficulty of tasks involving mutating of data on a website.\n\n![](https://blog.skyvern.com/content/images/2025/05/chase3-ezgif.com-video-to-gif-converter--1-.gif)\n\n_Can’t access [chase.com](http://chase.com)_\n\n![](https://blog.skyvern.com/content/images/2025/05/2025-05-08T02_12_10.137717_a_390786750312029848_recording-ezgif.com-video-to-gif-converter--1-.gif)\n\n_Can’t close a pop-up dialog_\n\nAs a result, we partnered with [Halluminate](https://www.halluminate.ai) and created a new benchmark to better quantify these failures. Our goal was to create a new consistent measurement system for AI Web Agents by expanding the foundations created by [WebVoyager](https://arxiv.org/abs/2401.13919) by:\n\n1. Expanding the number of websites from 15 → 452, and tasks from 642 -&gt; 5,750 to test agent performance on a wider variety of websites\n2. Introduce the concept of READ vs WRITE tasks\n3. READ tasks involve navigating websites and fetching data\n   * WRITE tasks involve entering data, downloading files, logging in, solving 2FA, etc, and were not well represented in the WebVoyager dataset\n4. Measure the impact of browser infrastructure (eg, access the websites, solve captchas, not crash, etc)\n\nWe’re excited to announce Web Bench, a new dataset to evaluate web browsing agents that consists of 5,750 tasks on 452 different websites, with [2,454 tasks being open sourced.](https://github.com/Halluminate/WebBench/tree/main)\n\n# Results TL;DR\n\n![](https://blog.skyvern.com/content/images/2025/05/Screenshot-2025-05-26-at-6.13.00---PM--1-.png)\n\n* All agents performed surprisingly poorly on write-heavy tasks (eg, logging in, filling out forms, downloading files), which implies that this is the area for the highest opportunity for growth\n* Skyvern 2.0 has the best performance for tasks in this category\n\n![](https://blog.skyvern.com/content/images/2025/05/Screenshot-2025-05-25-at-11.54.34---AM.png)\n\n* Agent performance for read-heavy tasks (eg, extracting information out of websites) was better than we expected\n* Anthropic’s CUA had the highest performance\n* The [entire run is **open source**](https://eval.skyvern.com/) and can be viewed to see the specific performance of each task\n\n# Dataset Creation\n\n![](https://blog.skyvern.com/content/images/2025/05/Screenshot-2025-05-25-at-11.49.12---AM.png)\n\nThe 452 websites are distributed across 17 primary categories. We sampled the benchmark websites from the [top 1000 websites in the world](https://dataforseo.com/free-seo-stats/top-1000-websites) measured by web traffic. We then cleaned this dataset of sites by removing:\n\n* repeat domains\n* sites without English translations\n* sites blocked by paywall\n\n# Results\n\n## Initial conditions\n\n* We ran OpenAI Operator with a human in the loop to establish a baseline for performance\n* We used consistent browser infrastructure (Skyvern’s infrastructure) when comparing the API-only models without a runtime to eliminate variables\n* We also ran Skyvern 2.0 on Browserbase to compare the impact of infrastructure, but found (surprisingly) that Skyvern’s infrastructure was able to reliably access more websites and encountered fewer anti-bot issues during navigation\n* Each agent was allowed a max of 50 steps per execution\n* Each result was validated by a human in the loop to assert evaluation data quality\n\n## Accuracy (Overall)\n\n![](https://blog.skyvern.com/content/images/2025/05/Screenshot-2025-05-25-at-11.53.34---AM--1-.png)\n\nThese results were a little bit surprising, so we decided to cut the data along 2 dimensions to understand where agents may falter:\n\n1. Read-only tasks (ie, extracting visible data from a particular website)\n2. Write heavy tasks (ie, logging into websites, filling out forms, downloading files)\n\n## Accuracy (Read-only tasks)\n\n![](https://blog.skyvern.com/content/images/2025/05/Screenshot-2025-05-25-at-11.54.34---AM--1-.png)\n\nRead-only tasks constitute tasks that involve agents going to different websites and navigating the sitemap until a particular answer/state has been found.\n\nUnsurprisingly, these results matched the WebVoyager dataset more closely, as the WebVoyager dataset was largely curated to help agents navigate websites and answer questions.\n\nThe biggest 2 sources of failures for read-heavy tasks are:\n\n* Navigation Issues (cannot figure out how to navigate a page, can’t solve popups)\n* Information extraction issues (doesn’t pull the correct information)\n\n## Accuracy (Write-heavy tasks)\n\n![](https://blog.skyvern.com/content/images/2025/05/Screenshot-2025-05-26-at-6.13.00---PM--2-.png)\n\nTasks involving:\n\n* filling out forms\n* logging in\n* solving 2FA\n* downloading files\n\nhad a much lower pass rate across the board.\n\nDigging a bit deeper into the failures, there were two culprits for the failures that popped up:\n\n* Incomplete execution (hallucinating that it’s achieved the goal when it has not)\n* Unable to identify the correct element to interact with (eg can’t close a popup dialog)\n\n![](https://blog.skyvern.com/content/images/2025/05/ezgif.com-speed-1.gif)\n\n_Can’t close subscription pop-up_\n\n![](https://blog.skyvern.com/content/images/2025/05/error2-ezgif.com-speed-1.gif)\n\n_Unable to find and click coupon buttons_\n\nThese issues manifest as agents making adverse changes when filling out forms, or optimistically assuming that clicking a “Submit” button completes the task, when in reality, a captcha appeared that now needs to be solved.\n\nThis issue is very similar to the phenomenon observed in coding agents, where smarter models try to “overhelp” with code changes by either making changes to unrelated parts of the codebase or repeatedly suggesting incorrect things because they’re missing some important context.\n\n## Agent Failure Modes - Deepdive\n\n![](https://blog.skyvern.com/content/images/2025/05/Screenshot-2025-05-25-at-11.56.30---AM.png)\n\nDigging deeper, we were able to qualify the overall failures into two buckets:\n\n1. Agent Failures (eg, Agents hallucinated/made poor decisions or didn’t interact with important elements)\n2. Infrastructure failures (eg, Agent can’t access the website, solve a captcha to log in)\n\n### Agent issues\n\nThe 4 biggest categories of agent errors are:\n\n* Navigation Issue (cannot figure out how to navigate a page, can’t solve popups)\n* Incomplete execution (hallucinating that it’s achieved the goal when it has not)\n* Time-outs (exceeds step limits)\n* Information extraction issue (doesn’t pull the correct information)\n\n### **Infrastructure issues**\n\nThe 3 biggest categories of infrastructure issues are:\n\n* Proxy (Failed to access website/website blocked)\n* Captcha (Verification required to proceed and the infrastructure is unable to solve it)\n* Login/Authentication (Google Auth detecting you’re a bot)\n\nThese findings imply that the browser infrastructure powering the agents is equally as important as the quality of the agent itself.\n\n# Other interesting characteristics\n\nWhile accuracy is the most important characteristic of a web browsing agent, there is also a desire to get “faster” and “cheaper” agents.\n\nFast and cheap agents can be characterized by tracking the following metrics:\n\n1. Runtime duration\n2. Number of steps\n\nWhile the right pricing model for browser agents hasn’t emerged yet, this data gives an important insight into whether pricing per hour (common amongst hosted browsers + older robotic process automation) and pricing per step (common amongst computer use APIs) is the right methodology.\n\n## Agent Runtime Duration\n\n![](https://blog.skyvern.com/content/images/2025/05/Screenshot-2025-05-28-at-10.14.41---AM.png)\n\nThis metric is important for a few latency-sensitive market segments/situations:\n\n1. Copilot-like products where a human is supervising 1 or many agents executing in parallel\n2. Phone agents referencing information / doing real-time lookups while a user is talking\n3. Websites aggregating information in real-time to show to the user(e.g., looking up flight or domain name availability)\n\n## Steps\n\n![](https://blog.skyvern.com/content/images/2025/05/Screenshot-2025-05-25-at-10.47.56---PM.png)\n\nMost web browsing agents’ costs scale with the number of steps (i.e., page scans) required to complete a specific task.\n\nAgents may use a varied number of steps for a few reasons:\n\n1. Most agents use different architectures to batch actions together to minimize the number of steps\n2. Agents eager to solve the problem may use a lot of steps in error situations to try to independently resolve their issues (e.g., chatting with support for solutions instead of terminating early)\n3. Agents using pessimistic approaches to reduce hallucinations may invalidate batches of actions whenever the website changes after a particular action (i.e., filling in an address field might invalidate the action plan for the rest of the page)\n\n# Next Steps\n\n* We intend to benchmark [Claude 4](https://www.anthropic.com/news/claude-4), [Operator O3](https://openai.com/index/o3-o4-mini-system-card-addendum-operator-o3/), [UI-TARs](https://github.com/bytedance/UI-TARS), and [Mariner API](https://deepmind.google/models/project-mariner/)\n* We intend to expand the benchmark to cover more categories of websites beyond the top 1000 websites in the world\n* We intend to expand this dataset to include other languages to assert multi-lingual browser agent performance\n\n# FAQ\n\n### Why not include a bigger cohort of websites?\n\nThe goal of the first version of Web Bench was to start with a reasonably large number of websites + tasks.\n\nThe next few versions will expand: (1) the number of websites encompassed by this benchmark, (2) the language of websites, and (3) the categories of websites\n\n### Why were only a subset of vendors benchmarked?\n\nThe overall cost to run this benchmark was approximately $3,000 per agent for human evaluations. This cost is high enough to be prohibitive of testing every single agent on the market.\n\nThe halluminate team plans to release an open-source automated evaluation harness to allow teams to self-serve testing against [Web Bench](https://www.webbench.ai). We leave this for future work.\n\nIf you’d like to submit benchmark results for your own agent, please [contact the Halluminate team](mailto:jerry@halluminate.ai)\n\n### Where can I read the technical deepdive?\n\nFor a comprehensive technical debrief on the dataset creation and evaluation methodology, check out the Halluminate team writeup [here](https://halluminate.ai/blog/benchmark).\n\n### Did anything funny happen along the way?\n\nYes.\n\nWe had examples of Skyvern chatting with GitHub’s AI Support bot\n\n![](https://blog.skyvern.com/content/images/2025/05/image--67-.png)\n\nBrowser Use googled how to evade Cloudflare captchas\n\n![](https://blog.skyvern.com/content/images/2025/05/image--68-.png)\n\n",
        "url": "https://www.ycombinator.com/launches/NdK-web-bench-a-new-way-to-compare-ai-browser-agents",
        "votes": 18,
        "created_at": "2025-05-29T18:26:39.628Z"
      },
      {
        "id": 89234,
        "title": "🐉 Skyvern MCP Server: let agents control your browser",
        "tagline": "Meet Skyvern, an open source AI agent that can control your browser and complete complex tasks",
        "body": "We were playing around with MCPs over the weekend and thought it would be cool to build an MCP that lets Claude / Cursor / Windsurf control your browser: <https://github.com/Skyvern-AI/skyvern/tree/main/integrations/mcp>\n\nJust for context, we’re building Skyvern, an open-source AI Agent that can control and interact with browsers using prompts, similar to OpenAI’s Operator.\n\nThe MCP Server can:\n\n* This allows Claude to navigate to docs websites/stack overflow and look up information like the top posts on hackernews\n\n![uploaded image](/media/?type=post&id=89234&key=user_uploads/1120458/9a0259b8-ebb7-44c4-9f4d-a881c31c8d10)\n\n* This allows Cursor to apply for jobs, fill out contact forms, log in and download files, etc.\n\n  ![uploaded image](/media/?type=post&id=89234&key=user_uploads/1120458/f9c936a8-88de-47cc-8209-7983754fcb8a)\n\n* Connect Windsurf to take over your Chrome while running Skyvern in “local” mode\n\n![uploaded image](/media/?type=post&id=89234&key=user_uploads/1120458/40ca033c-fa32-4c7f-bda0-7cd072ae9212)\n\nWe built this mostly for fun, but we can see this being integrated into AI agents to give them custom access to browsers and execute complex tasks like booking appointments, downloading your electricity statements, looking up freight shipment information, etc.",
        "url": "https://www.ycombinator.com/launches/NDG-skyvern-mcp-server-let-agents-control-your-browser",
        "votes": 8,
        "created_at": "2025-04-03T18:28:44.864Z"
      },
      {
        "id": 86895,
        "title": "Skyvern 2.0 - State-of-the-art web navigation with 85.8% on WebVoyager Eval",
        "tagline": "Open source AI Web Agent",
        "body": "We’ve been working hard, cooking up something new to share with you all!\n\nSkyvern 2.0 **scored state-of-the-art 85.85%** on the WebVoyager Eval.\n\nThis is the best-in-class performance of all WebAgents, giving advanced closed-source web agents like Google Mariner a run for their money.\n\n![uploaded image](/media/?type=post&id=86895&key=user_uploads/1120458/4f04949f-e01d-42cb-b568-a2460f7ac7f5)\n\n### TL;DR\n\n* **Real-World Tests:** We ran all of the tests in Skyvern Cloud to get a better representation of autonomous browser operations (ie, they didn’t run on any local machines)\n* **Open-Sourced Results:** All of the runs can be [seen here](https://eval.skyvern.com/) through our UI.\n* **We’re just getting started**. Try [Skyvern Cloud](https://app.skyvern.com/) or [Skyvern Open Source](https://github.com/Skyvern-AI/Skyvern) out for yourself and see Skyvern in action!\n\n## Agent Architecture\n\nAchieving this SOTA result required expanding Skyvern’s original architecture. Skyvern 1.0 involved a single prompt operating in a loop both making decisions and taking actions on a website. This approach was a good starting point but scored \\~45% on the WebVoyager benchmark because it had insufficient memory of previous actions and could not do complex reasoning.\n\nTo solve this problem, we created a self-reflection feedback loop within Skyvern. This resulted in 2 main changes:\n\n1. We added a “Planner” phase, which could decompose very complex objectives down into smaller achievable goals\n2. This allowed Skyvern to have a working memory of things it had completed and things that were still waiting to be finished\n   * This allows Skyvern to work with long, complex prompts without increasing the hallucination rate\n3. We added a “Validator” phase, which confirmed whether or not the original goals the “Planner” generates are successfully completed\n4. This acts as a supervisor function to confirm that the Task executor is achieving its objectives as expected and report any errors/tweaks back to the Planner so it can make adjustments in real-time as needed\n\n![](https://blog.skyvern.com/content/images/2025/01/architecture.png)\n\n## Test Setup\n\nAll tests were run in [Skyvern Cloud](https://app.skyvern.com/) with an **async cloud browser** and used a combination of GPT-4o and GPT-4o-mini as the primary decision-making LLMs. The goal of this test is to assert real-world quality — the quality represented by this benchmark is the same as what you would experience with [Skyvern](https://app.skyvern.com/)’s browsers running asynchronously.\n\n💡 **Why is this important?** Most benchmarks are run on local browsers with a relatively safe IP address and an impressive browser fingerprint. This is not representative of how Autonomous agents will run in the cloud, and we wanted our benchmark to represent how agents would behave in production\n\nIn addition to the above, we’ve made a few minor tweaks to the dataset to bring it up to date:\n\n1. We’ve removed 8 tasks from the dataset because the results are no longer valid. For example, one of the tasks asked to go to [apple.com](http://apple.com) and check when the Apple Vision Pro will be released — in 2025, it’s already been released and forgotten\n2. Many of the flight/hotel booking tasks referenced old dates. We updated both the prompt and the answer to more modern dates for this evaluation\n\n🔍 **For the curious**:\n\nThe full dataset can be seen here: <https://github.com/Skyvern-AI/skyvern/tree/main/evaluation/datasets>\n\nThe full list of modifications can be seen here: <https://github.com/Skyvern-AI/skyvern/pull/1576/commits/60dc48f4cf3b113ff1850e5267a197c84254edf1>\n\n## Test Results\n\nWe’re doing something out of the ordinary. In addition to the results, we’re making our entire benchmark run public.\n\n💡 **Why is this important?** Most benchmarks are run behind closed doors, with impressive results being published without any accompanying material to verify the results. This makes it hard to understand how things like hallucinations or website drift over time play an effect on agent performance\n\nWe believe this isn’t aligned with our open source mission, and have decided to publish the entire eval results to the public.\n\n📊 All individual run results can be seen here: <https://eval.skyvern.com>\n\n🔍 The entire Eval dataset can be seen here: <https://github.com/Skyvern-AI/skyvern/tree/main/evaluation/datasets>\n\n## Limitations of the WebVoyager benchmark\n\nThe WebVoyager benchmark is a comprehensive benchmark testing a variety of prompts on 15 different websites. While this acts as a good first step in testing Web agents, this only captures 15 hand-picked websites of the millions of active websites on the internet.\n\nWe think there is tremendous opportunity here to better evaluate web agents against one another with a more comprehensive benchmark similar to SWE-Bench.\n\n## What’s on the horizon\n\nBrowser automation is still a nascent space with tons of room for improvement. While we’ve achieved a major milestone in agent performance, a few important issues are next to be solved:\n\n1. Can we improve Skyvern’s reasoning to operate efficiently in situations with more uncertainty? Examples include vague prompts, ambiguous or highly complex websites/tools, websites with extremely poor UX (legacy portals)\n2. Can we give Skyvern access to more tools so it can effectively log into websites, make purchases, and behave more like a human?\n3. Can we have Skyvern better memorize things it has already done in the past so it can do them again at a lower price point?\n\n## References\n\n* [Google Mariner Report](https://deepmind.google/technologies/project-mariner/)\n* [Claude Computer Use Report](https://docs.anthropic.com/en/docs/build-with-claude/computer-use)\n* [WebVoyager Report](https://arxiv.org/html/2401.13919v4)\n* [WILBUR Report](https://arxiv.org/html/2404.05902v1)\n* [AgentE Report](https://arxiv.org/html/2407.13032v1)\n* [HCompany Report](https://www.hcompany.ai/blog/a-research-update)",
        "url": "https://www.ycombinator.com/launches/MbX-skyvern-2-0-state-of-the-art-web-navigation-with-85-8-on-webvoyager-eval",
        "votes": 10,
        "created_at": "2025-01-16T16:48:00.855Z"
      },
      {
        "id": 86198,
        "title": "🐉 Skyvern's Contact Form Agent: Automate contact form submissions with AI",
        "tagline": "Cold outbound is the worst. Try this new form of outbound instead!",
        "body": "Companies use [Skyvern](https://www.skyvern.com/) to automate browser-based workflows, doing tasks like form-filling, invoice downloading, and more. One emerging use case for Skyvern has been navigating to thousands of different websites and filling out contact forms... to scale a new untapped outbound channel.\n\nAnd this strategy blew our minds. Why:\n\n1. Companies with contact forms often, guess what, want to be contacted\n2. Contact form submissions often go to a specific team dedicated to help with inquiries\n3. You avoid all of the craziness that comes with setting up email infrastructure: buying up domains, warming inboxes, worrying about bounce rates and other email nuisances\n4. You can send as many as you want whenever you want—forget limiting the number you send per day to increase deliverability\n\nThe demand and success of this use case led us to create a dedicated agent tailored to it: Skyvern Contact Forms. And this is why I’m here, to share this sick outbound strategy and let you know we can help :)\n\nTry it out at [**https://app.skyvern.com/forms**](https://app.skyvern.com/forms), let us know what you think!\n\nLike what you see and want bulk pricing? [**I’d love to chat.**](https://meetings.hubspot.com/skyvern/demo)\n\n![uploaded image](/media/?type=post&id=86198&key=user_uploads/1120458/2e37309e-035e-41cd-b89a-c8552a5019d6)\n\n",
        "url": "https://www.ycombinator.com/launches/MQI-skyvern-s-contact-form-agent-automate-contact-form-submissions-with-ai",
        "votes": 8,
        "created_at": "2024-12-10T18:35:41.619Z"
      },
      {
        "id": 81634,
        "title": "🐉 Skyvern Cloud - Open source AI Agent to automate browser based workflows",
        "tagline": "The easiest way to automate similar tasks on a lot of different websites",
        "body": "### TL;DR\n\n[Skyvern](https://skyvern.com/) helps companies automate browser-based workflows using AI. We provide a simple API endpoint to fully automate manual workflows, replacing brittle or unreliable scripts. We’re open source — check out [our repository here](https://github.com/Skyvern-AI/Skyvern). **We just launched Skyvern Cloud — check it out at **[**app.skyvern.com**](https://app.skyvern.com)**.**\n\n**—**\n\n### 🧙‍♂️🐉 Skip the boring explanation, show me the magic!\n\n**We have good news!** We just launched Skyvern Cloud. You can go to [app.skyvern.com](http://app.skyvern.com) and try playing around with it! You’ll get $5 of credit when signing up and setting up a payment method\n\nHere’s an example of it filling out the job application form and applying to Lever’s job demo website:\n\n![uploaded image](/media/?type=post&id=81634&key=user_uploads/1120458/b3e666b8-5e36-4e7e-91ac-1120de55cd39)\n\n### 🤔 What are browser workflows?\n\nMost companies we’ve talked to have manual or semi-automated workflows that support their core product. Many of these workflows started manually as companies were getting off the ground, [doing things that don’t scale](https://paulgraham.com/ds.html), and evolved to occupy a larger amount of human capital or automated with unreliable scripts.\n\n**Example 1 — Downloading invoices on a large number of websites**\n\nLet’s say it’s the end of the month, and your accountant is hounding you for invoices for all your transactions this month. Traditionally, you would have to log into each portal and download it yourself. Skyvern can help automate this for you! **PS: If you’d like to automate a complex flow like this, we’d [love to help get you set up.](https://meetings.hubspot.com/suchintan)**\n\n![uploaded image](/media/?type=post&id=81634&key=user_uploads/1120458/49e1d569-5a46-4728-a3ec-6a0a4d8c40aa)\n\n**Example 2 — Filling out forms + uploading documents on Government websites**\n\nLet’s say you’re an accounting company or a law firm, and you want to help your clients get set up for Payroll in California — you wouldn’t want to go get registered for EDD manually for each potential customer.. and in each state! Call in a favor from Skyvern to help automate this.\n\n![uploaded image](/media/?type=post&id=81634&key=user_uploads/1120458/66682edb-bdc4-4a03-b157-235501356bfc)\n\n**Example 3 — Automating materials procurement from commerce websites**\n\nLet’s say you’re a B2B marketplace for car parts, and your users submit orders from multiple vendors with you. A subset of vendors you work with don’t support ordering via an API, so you have a human in the loop to transact orders for those vendors. Here’s an example of Skyvern navigating to [finditparts.com](http://finditparts.com/) and ordering an airbag — all via an API call!\n\n![uploaded image](/media/?type=post&id=81634&key=user_uploads/1120458/f4630123-b7d1-4fff-aedb-31dd3ea11f05)\n\n**Example 4 —** **Completing dynamic multi-step workflows**\n\nLet’s say that you’re trying to automate complex workflows, such as generating insurance quotes. Skyvern is able to navigate each step until its specified goal is achieved — even if the steps change depending on the user’s situation. Here’s an example of Skyvern navigating to [Geico.com](http://geico.com/) and generating an auto insurance quote with your personalized information.\n\n![uploaded image](/media/?type=post&id=81634&key=user_uploads/1120458/f800fef8-1a6d-4345-ba5a-043a154ad488)\n\n### 🤩 How does it work??\n\nSkyvern uses LLMs to become an AI Agent capable of interacting with websites like you or I would — all via a simple API call.\n\nTraditional approaches required writing custom scripts for websites, often relying on [DOM parsing](https://developer.mozilla.org/en-US/docs/Web/API/Document_Object_Model) and [XPath-](https://en.wikipedia.org/wiki/XPath)based interactions, which would break whenever the website layouts changed.\n\nSkyvern’s prompt → automation breaks these constraints and relies on multi-modal LLMs to parse items in the viewport and interact with them the way a human would.\n\nThis approach gives us a few advantages:\n\n1. Skyvern can take a single prompt (i.e., “Download an invoice from the order history page”) and repeat it across a large number of similar websites. This would traditionally require one script per website — making tackling the long tail of website interactions very challenging\n2. Skyvern is able to operate on websites it’s never seen before, as it’s able to map visual elements to actions necessary to complete a workflow without any customized code\n3. Skyvern is resistant to website layout changes, as there are no pre-determined XPaths or other selectors our system is looking for while trying to navigate\n4. We’re able to circumvent or navigate through many bot detection methods, as many of them rely on looking for outlier behavior\n5. We rely on LLMs to reason through interactions to make sure we can cover complex situations. Examples include:\n   * If you wanted to get an auto insurance quote from Geico, the answer to a common question, “Were you eligible to drive at 18?” could be inferred from the driver receiving their license at age 16\n   * If you were doing competitor analysis, it’s understanding that an Arnold Palmer 22 oz can at 7/11 is almost definitely the same product as a 23 oz can at Gopuff (even though the sizes are slightly different, which could be a rounding error!)\n\n### 😮 And you’re open source?\n\nYes! You can [check out our code here](https://github.com/Skyvern-AI/Skyvern). We’re open source for two big reasons:\n\n1. It allows developers to be able to look at, understand, and dive deep into Skyvern’s implementation details to (1) expand their capabilities by adding support for new functionality and (2) decode why they’re doing what they’re doing.\n2. It allows security-minded enterprises to escape “security theater” and keep data on-prem by self-hosting Skyvern.\n   1. If this is at all interesting to you, [let’s chat](https://meetings.hubspot.com/suchintan?uuid=9cb375c0-cb2c-4900-b22d-f52baa74dfb2).\n\n### Our Ask\n\nDo you have any complex workflows that you’d love to automate? We’d love to chat! Shoot me an email at [suchintan@skyvern.com](mailto:suchintan@skyvern.com) or grab some time via [my calendar.](https://meetings.hubspot.com/suchintan)",
        "url": "https://www.ycombinator.com/launches/LEg-skyvern-cloud-open-source-ai-agent-to-automate-browser-based-workflows",
        "votes": 35,
        "created_at": "2024-06-20T14:46:54.762Z"
      },
      {
        "id": 77665,
        "title": "🐉 Skyvern - Automate Browser-based workflows with AI",
        "tagline": "Automate manual workflows within your company with an AI Agent",
        "body": "### TL;DR\n\nSkyvern helps companies automate browser-based workflows using LLMs and computer vision. We provide a simple API endpoint to fully automate manual workflows, replacing brittle or unreliable scripts.\n\n### 🤔 What are browser workflows?\n\nMost companies we’ve talked to have manual or semi-automated workflows that support their core product. Many of these workflows started manually as companies were getting off the ground, [doing things that don’t scale](https://paulgraham.com/ds.html), and evolved to occupy a larger amount of human capital or automated with unreliable scripts.\n\n**Example 1 — Automating materials procurement from commerce websites**\n\nLet’s say you’re a B2B marketplace for car parts, and your users submit orders from multiple vendors with you. A subset of vendors you work with don’t support ordering via an API, so you have a human in the loop to transact orders for those vendors. Here’s an example of Skyvern navigating to [finditparts.com](http://finditparts.com) and ordering an airbag — all via an API call!\n\n![uploaded image](/media/?type=post&id=77665&key=user_uploads/1120458/055a1d70-8ed2-428d-8104-740f7632d3e7)\n\n**Example 2 —** **Completing complex multi-step workflows**\n\nLet’s say you’re trying to automate complex workflows such as generating insurance quotes. Skyvern can navigate each step until its specified goal is achieved — even if the steps change depending on the user’s situation. Here’s an example of Skyvern navigating to [Geico.com](http://Geico.com) and generating an auto insurance quote with your personalized information.\n\n![uploaded image](/media/?type=post&id=77665&key=user_uploads/1120458/747160ae-eb91-48c0-977d-830074a5b93b)\n\n### 🤩 How does it work??\n\nOur focus is bringing stability to browser-based workflows. We leverage LLMs to create an AI Agent capable of interacting with websites like you or I would — all via a simple API call.\n\nTraditional approaches required writing custom scripts for websites, often relying on [DOM parsing](https://developer.mozilla.org/en-US/docs/Web/API/Document_Object_Model) and [XPath-](https://en.wikipedia.org/wiki/XPath)based interactions which would break whenever the website layouts changed.\n\nSkyvern operates like a human — increasing reliability by not relying on fragile scripts, instead relying on computer vision to parse items in the viewport and interact with them the way a human would.\n\nThis approach gives us a few advantages:\n\n1. Skyvern can operate on websites it’s never seen before, as it’s able to map visual elements to actions necessary to complete a workflow, without any customized code\n2. Skyvern is resistant to website layout changes, as there are no pre-determined XPaths or other selectors our system is looking for while trying to navigate\n3. We’re able to circumvent or navigate through many bot detection methods as many of them rely on allowing people to access the websites\n4. We rely on LLMs to reason through interactions to ensure we can cover complex situations. Examples include:\n   * If you wanted to get an auto insurance quote from Geico, the answer to a common question “Were you eligible to drive at 18?” could be inferred from the driver receiving their license at age 16\n   * If you were doing competitor analysis, it’s understanding that an Arnold Palmer 22 oz can at 7/11 is almost definitely the same product as a 23 oz can at Gopuff (even though the sizes are slightly different, which could be a rounding error!)\n\n### Our Ask\n\nDo you have any complex workflows that you’d love to automate? Were you [doing things that don’t scale](https://paulgraham.com/ds.html) that you now need to scale? We’d love to chat! Shoot me an email at [suchintan@skyvern.com](mailto:suchintan@skyvern.com) or grab some time via [my calendar.](https://meetings.hubspot.com/suchintan)",
        "url": "https://www.ycombinator.com/launches/KCf-skyvern-automate-browser-based-workflows-with-ai",
        "votes": 69,
        "created_at": "2024-01-19T17:34:36.013Z"
      },
      {
        "id": 72744,
        "title": "🐉 Wyvern AI - Increase revenue in marketplaces with better product ranking",
        "tagline": "With Wyvern, not only do marketplaces get better product ranking, they get the ability to fine-tune the ranking with unique insights about their business",
        "body": "**TL;DR:** [Wyvern.ai](https://www.wyvern.ai?utm_source=yc&utm_medium=yc_launch_email&utm_campaign=launch_yc&utm_id=10) is a machine learning platform for marketplaces to help them optimize their product ranking. We do this by providing an API that’s integrated with their product catalog, that optimizes product ranking based on factors such as popularity, relevance, and personalization. In addition, we also provide a framework where customers can fine-tune their product ranking models with custom insights and tailor them to their business. We built this exact platform before, and it unlocked over $100M of value.\n\n## 💸 Product Ranking: **Unleashing Growth Potential**\n\nMarketplaces, such as Amazon, eBay, or Etsy, often have millions of products listed by various sellers, making it crucial to determine how to present these products to users effectively. These companies have teams of data scientists dedicated to improving the quality of product ranking, factoring in things like personalization (ie individual user preferences), relevance, and general product popularity.\n\nOur experience building Faire and Gopuff’s machine learning platform highlighted the value that product ranking derives for the business. Through successive iterations of machine learning models, we witnessed impacts exceeding 10% (equivalent to over $100 million) for these businesses.\n\nA notable portion of these impactful iterations involved providing machine learning models with access to unique insights into user behaviour. For instance, at Faire, gaining a better understanding of what products their retailers stocked in their stores enabled tailoring the shopping experience to suit each store's distinct characteristics.\n\nOther larger marketplaces had their own insights. At eBay, incorporating buyer-seller shipping logistics information into their product ranking models produced notable improvements. Similarly, at Etsy, the users' initial interactions with the site indicate their shopping intention, allowing their product ranking models to transform the entire homepage to deliver a personalized experience.\n\n## 💣 Challenges to navigate along the way\n\nWhile larger marketplaces have the leverage to iterate on their product ranking, smaller marketplaces tend to buy off-the-shelf solutions, allowing them to bootstrap and search for product-market-fit.\n\nOnce a marketplace establishes product-market-fit, transitioning from an off-the-shelf product ranking solution to a highly customizable one is deceptively challenging and requires substantial engineering investment:\n\n1. **Latency:** Effective product ranking models perform better when they can evaluate a large number of products. However, as the number of products increases, so does the user-facing latency. Maintaining fast browsing experiences while running machine learning models on hundreds of products in under 100 milliseconds is a demanding technical hurdle.\n2. **Customizability:** The value derived from machine learning models in product ranking heavily relies on incorporating unique user behavior within the marketplace. Therefore, the system needs to be highly flexible, enabling data science teams to explore and implement new insights they acquire about users.\n3. **Observability:** The importance of data quality and accuracy cannot be overstated in machine learning. Ensuring that that the data used for model training and evaluation is reliable, enabling effective decision-making and accurate product ranking.\n\n## 🐉 Solution: [Wyvern AI](https://www.wyvern.ai?utm_source=yc&utm_medium=yc_launch_email&utm_campaign=launch_yc&utm_id=10)\n\nWyvern’s machine learning platform solves these problems. Not only do we give marketplaces a model that immediately improves their product ranking, we also provide:\n\n1. The ability to iterate on and fine-tune the model by expanding its inputs, such as relevance, personalization, popularity, and more.\n2. The ability to adjust the model's objective, allowing it to optimize conversion, GMV, revenue, profit, or a combination thereof, based on the current focus of the business.\n3. An observability layer is provided to marketplaces, offering essential capabilities for debugging and evaluate historic predictions. This layer also facilitates transforming the data into a feedback loop, enabling continuous improvement of the performance of real-time machine learning models.\n\nThis allows our customers to dedicate data scientists to iterate on models within their marketplace, allowing them to continually improve the quality of product ranking across all of their surfaces.\n\n![uploaded image](/media/?type=post&id=72744&key=user_uploads/1120458/639a4715-c00e-430a-94c3-f5b122dfe255)\n\n## 🙏 Our asks\n\n* Are you a marketplace company? We would love to chat.\n* Do you know anyone working at growing marketplaces? We’d love an introduction.\n* If you have any questions, you can reach us at [suchintan@wyvern.ai](https://mailto:suchintan@wyvern.ai)",
        "url": "https://www.ycombinator.com/launches/IvI-wyvern-ai-increase-revenue-in-marketplaces-with-better-product-ranking",
        "votes": 18,
        "created_at": "2023-07-05T13:51:14.223Z"
      }
    ]
  },
  {
    "id": 28890,
    "name": "Decoda Health",
    "slug": "decoda-health",
    "former_names": [
      "Heal Financial"
    ],
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    "website": "https://decodahealth.com/",
    "all_locations": "Toronto, ON, Canada",
    "long_description": "Med spas, wellness clinics, and aesthetics practices run on 5-10 disconnected tools — separate systems for scheduling, charting, payments, patient communication, and more. It's expensive, error-prone, and holds teams back.\r\n\r\nDecoda is the all-in-one EMR and practice management platform purpose-built for elective care. AI is woven into every workflow — from an AI front desk that answers calls and books patients 24/7, to an ambient scribe that generates clinical notes in real time, to automated patient follow-ups that keep calendars full. Scheduling, payments, memberships, inventory, and analytics all live in one place.\r\n\r\nLive in 150+ clinics, processing $100M+ in annual transactions.",
    "one_liner": "The all-in-one EMR built for med spas and elective care",
    "team_size": 19,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Healthcare IT",
    "launched_at": 1689972321,
    "tags": [
      "SaaS",
      "Digital Health",
      "Healthcare IT",
      "AI"
    ],
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
      "Healthcare",
      "Healthcare IT"
    ],
    "regions": [
      "Canada",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/decoda-health",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/decoda-health.json",
    "year_founded": 2023,
    "city": "Toronto",
    "country": "CA",
    "linkedin_url": "https://www.linkedin.com/company/decoda-health/",
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    ],
    "primary_partner": {
      "name": "Garry Tan",
      "url": "https://www.ycombinator.com/people/garry-tan"
    },
    "founders": [
      {
        "user_id": 1279796,
        "full_name": "Daniyal Afzal",
        "title": "Founder",
        "founder_bio": "Cofounder @ Decoda Health (YC S23)",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/daniyalafzal",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5c5240e8e3feb87f9d68a9df8c83c9f8b0b8f763.jpg"
      },
      {
        "user_id": 1383058,
        "full_name": "Kevin Cheng",
        "title": "Founder",
        "founder_bio": "Co-founder of Decoda Health (S23)",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/kevincheng97",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c67c471e5b015c8ffc97b7cde0d6868c7d867c4d.jpg"
      }
    ],
    "jobs": [
      {
        "id": 89576,
        "title": "Customer Success Manager",
        "url": "https://www.ycombinator.com/companies/decoda-health/jobs/WfbqYan-customer-success-manager",
        "location": "Toronto Office",
        "type": "Full-time",
        "role": "Support",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 96026,
        "title": "Decoda Health: the operating system for elective care",
        "tagline": "Where healthcare operations become intelligent.",
        "body": "Clinics that rely on point solutions and disconnected tools create missed opportunities, fragmented patient experiences, and endless admin work.\n\n**Decoda Health** **is the operating system for modern elective-care clinics.** Our AI agents answer calls, take notes, keep calendars full, and handle patient follow-ups - all on top of a unified platform for scheduling, payments, memberships, prescriptions, labs, and analytics.\n\nWe’re live in **150+ clinics**, processing **$100M+** annually, saving **$7M** in admin time, and generating **$20M+** in new revenue for our customers. We have grown more than ten-fold in the last 6 months.\n\nhttps://youtu.be/Ala-OpQMy4M\n\n### Problem\n\nEvery clinic has knowledge - how patients move through the workflow, which tasks matter most, what providers need, what's already been done, what's still pending.\n\nBut that knowledge lives in **ten different tools** and the minds of staff who come and go.\n\nSo every day feels like starting from scratch:\n\n![uploaded image](/media/?type=post&id=96026&key=user_uploads/1279796/be2f277d-ce92-4e4d-91f7-bcca78422717)\n\nThis isn't a workflow issue. **It's a missing foundation.**\n\n### **Solution**\n\n![uploaded image](/media/?type=post&id=96026&key=user_uploads/1279796/65d5dc7a-69ef-430c-a89f-5d4376294f1a)\n\nFirst, we built the **full suite of modules every clinic needs**: scheduling, intake & consent forms, unified communications, charting & documentation, inventory & checkout, patient messaging, and reporting & analytics.\n\nThen we layered on intelligent agents that carry deep context and perform tasks like **answering calls, taking notes, and keeping calendars full.**\n\nBecause these agents and modules live inside the same platform, every workflow becomes connected and actionable.\n\nThe more a clinic uses Decoda, the **smarter** and **more streamlined** it becomes. This creates a **compounding advantage:** each clinic builds more longitudinal data, each agent becomes smarter with greater context, and each workflow grows increasingly deterministic.\n\nOver time, the system becomes not just a tool, but a **trusted co-pilot for running the clinic**.\n\n![uploaded image](/media/?type=post&id=96026&key=user_uploads/1279796/ee1b49ba-10ab-4e46-9e86-f9d152c5c10f)\n\n### Why Now\n\n**AI gives tiny teams massive leverage.** As a team of &lt;10 people, we’ve already out-shipped incumbents with 500-person orgs. This moment, and our focus on clinic workflows, creates a rare window to build a category-defining platform.\n\n![uploaded image](/media/?type=post&id=96026&key=user_uploads/1279796/f3e45a34-b6a8-4599-89bc-0606823b3237)\n\n### Starting with elective care\n\nMore people want to live longer, happier, and healthier and are willing to spend on caring for themselves.\n\nWe are starting with a focus on **wellness, longevity, anti-aging, medical aesthetics, dermatology,** and **cosmetic surgery practices.**\n\nThis segment of care is growing fast and remains underserved by incumbent solutions.\n\n### Ask\n\nIf you know someone operating an elective care clinic or any talented folks that want to join us on our mission in any capacity (engineering, sales, ops, etc.), we’d love to hear from you.\n\n✉️ email us at [founders@decodahealth.com](mailto:founders@decodahealth.com)!\n\n💼 share our careers page with your talented friends: [link here.](https://app.dover.com/jobs/decodahealth)",
        "url": "https://www.ycombinator.com/launches/Oyo-decoda-health-the-operating-system-for-elective-care",
        "votes": 17,
        "created_at": "2025-12-08T21:56:43.573Z"
      }
    ]
  },
  {
    "id": 28891,
    "name": "Numen",
    "slug": "numen",
    "former_names": [
      "Cleancard"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/801ff758c035f5849acfdcd35329ec161bd30cef.png",
    "website": "https://www.numen.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "",
    "one_liner": "Engineering a future without cancer deaths.",
    "team_size": 18,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Diagnostics",
    "launched_at": 1691571179,
    "tags": [
      "Machine Learning",
      "Biotech",
      "Healthcare",
      "Diagnostics",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
      "Healthcare",
      "Diagnostics"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Growth",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/numen",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/numen.json",
    "year_founded": 2021,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/76116332",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/801ff758c035f5849acfdcd35329ec161bd30cef.png",
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        "title": "💧🧬Cleancard - Making cancer screening as easy as a pregnancy test",
        "tagline": "Combining SynBio and AI to make rapid and reliable at-home cancer testing possible",
        "body": "**Tl;dr:** We’re Cleancard, a pair of Rhodes Scholars on a mission to reinvent cancer diagnostics. We combine synthetic biology + AI to create powerful at-home cancer tests, with results from urine in just 30 minutes. **Check out our **[**website**](https://www.cleancard.bio/)** for more!**\n\nHey everyone - we’re Tom and Luca, the co-founders behind Cleancard!\n\n![uploaded image](/media/?type=post&id=73949&key=user_uploads/863380/9ea23e71-c6d5-4715-8236-7ed89e1d6a90)\n\n👨🏻 [Tom](https://www.linkedin.com/in/thomas-carroll-62a60367/): Clinical cancer researcher, expert in bioinformatics and methods development. No stranger to designing [better biomarker tests](https://www.cell.com/cancer-cell/fulltext/S1535-6108(23)00216-7). 👨🏻‍🦰 [Luca](https://www.linkedin.com/in/luca-springer-b3801b8a/): Computer scientist with a strong healthcare policy background. Years of experience growing healthtech and consumer businesses.\n\n### **Early cancer detection saves lives 🕑**\n\nMore than 18M Americans have cancer today. Unfortunately, this is a growth market (26M projected by 2040). 1 in 3 have a close family member with a history of cancer, and thus have a higher risk for cancer themselves (2x). We know these realities all too well from our personal lives, dealing with hereditary cancer syndromes and family histories of cancer.\n\nCancer will come for many of us. To give ourselves drastically better odds of surviving this disease, we need to diagnose it before it reaches an advanced stage.\n\n![uploaded image](/media/?type=post&id=73949&key=user_uploads/863380/10066d6b-22e6-4e98-a5cf-4fc34047d766)\n\n### **Problem: Cancer screening is failing us 🤬**\n\n* Cancer symptoms are often unnoticeable until the cancer is too advanced to cure\n* Current lab-based screening tests are **time-consuming** and **costly** - they fail to get people to screen before they are symptomatic (even for PSA, only [1 in 3 participate](https://jamanetwork.com/journals/jamaoncology/fullarticle/2797845))\n* At-home rapid tests would increase rates of asymptomatic screening but **just don’t perform well enough** to be trusted for cancer diagnostics\n* Current options are **not sufficient** to give people their best chance at surviving cancer\n\n### **Solution: Cleancard’s rapid testing platform 😍**\n\nWe’ve built a new rapid-test method enabling highly sensitive biomarker-guided diagnostics from the urine in just 30 minutes. Key advantages of our proprietary technology:\n\n* **10x quicker/cheaper** than lab-based tests\n* **10x more sensitive** than lateral flow\n* **No expensive machinery** or **complicated sample manipulation**.\n\nSee how we stack up:\n\n![uploaded image](/media/?type=post&id=73949&key=user_uploads/863380/ed2218af-7627-4f5b-9d17-7adec46c6632)\n\nCleancard technology combines synthetic biology, machine learning, and computer vision into a multiplexable, machine-readable format which allows us to detect multiple cancer biomarkers from a single sample.\n\nOur first rapid at-home screens will identify prostate, bladder, and ovarian cancers. Our method is highly agile - we’ve successfully targeted 10 new cancer biomarkers during this YC batch alone, with more to come soon. \n\nCleancard’s platform is the one-stop shop for reliable detection and tracking of multiple cancer biomarkers in the comfort of your own home.\n\n### **Our asks 🙏**\n\n* **Share this post!** Please help us spread the word with your networks.\n* **Join our team!** We are always looking for highly motivated scientists and engineers to join us in our mission to reinvent cancer diagnostics. If that’s you or someone you know, please get in touch ([contact@cleancard.bio](mailto:contact@cleancard.bio)).",
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        "title": "GovernGPT: Modernizing buy-side investor relations with AI",
        "tagline": "We help asset managers modernize fundraising and investor relations by automating investor updates like DDQs and RFPs.",
        "body": "**Problem:**\n\nAsset Managers who raise money from institutional investors need to fill out questionnaires in various formats for customer acquisition and retention. Most of these answers already exist and need to be manually kept up-to-date. Also, it requires manual chasing down of other teams (e.g. compliance) for recently certified answers. A lot of effort that could be otherwise spent on higher value fundraising tasks.\n\n**Our Solution:**\n\nWe automate finding fresh answers, maintenance of the database, and intracompany communication. Existing solutions either don’t get used or they need a team of 5 to manage it. [GovernGPT](https://www.governgpt.ai/), natively powered by gen-AI and purpose-built for asset managers, frees up the time for 4 out of those 5. In the end, GovernGPT exports these questionnaires in the very same format they came in with answers filled out.\n\n[Product Video Demo](https://youtu.be/oWFzk2kHtW0)\n\n**_Who we are_**\n\nWe're [Mamal](https://www.linkedin.com/in/mamal-amini-235810170/) and [Oliver](https://www.linkedin.com/in/walerys/), best friends who love mountains and craft beers :) We've collectively built GPTs from scratch, developed back-office products that elicit consumer-level joy, and published Machine Learning papers - all this at startups, scale-ups, large corporates, and consulting firms like McKinsey. This photo is us right after we got GovernGPT swag!\n\n![uploaded image](/media/?type=post&id=78478&key=user_uploads/671605/d3822694-d73c-475a-8f48-133d00584a81)\n\n**_How you can help us_**\\\nWe’re currently piloting with a private credit, a hedge fund, and a private equity firm. If you know forward-thinking asset managers who want this problem to be solved today (get a huge discount before we raise seed), please put us in touch ([mamal@governgpt.ai](mailto:mamal@governgpt.ai)).",
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        "full_name": "Bennett Cohen",
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        "id": 73645,
        "title": "✨ 🫴 Hidden Hand: AI-powered client intake for law firms",
        "tagline": "Faster intake, less labor, better advocacy.",
        "body": "Hi everyone, I’m Bennett from [Hidden Hand](https://hiddenhand.io).\n\n**TLDR: Hidden Hand uses AI to reduce client intake time by 30%, allowing law firms to focus on providing better advocacy for all their clients.**\n\n# \n\n# **The Problems**\n\nThere are \\~450,000 law firms in the US, many of which are _boutique_ law firms that focus on one practice area, like personal injury or workers’ compensation.\n\n* **Client Intake Bottleneck**: The key bottleneck is their client intake process - efficiently identifying suitable clients and onboarding them with contracts, insurance, documents, etc.\n* **Importance of Empathy:** Lawyers are here to help people. Nobody wants a robot to represent them. Empathy and human connection are crucial to signing and keeping a client.\n* **Antiquated Tech, Low-Risk Appetite:** Law firms are built on outdated technology, which translates to outdated workflows. Many are hesitant to change systems because of the importance of the human side of law.\n\n# **AI + Human = Better Advocacy**\n\nHidden Hand provides a hybrid solution that combines the best parts of both automated intake and human-led intake to increase speed without sacrificing human connection.\n\n* **Offload easy tasks to AI:** We build customized messaging chatbots and beautiful intake forms for tasks that don’t require human involvement. Don’t worry, we always give clients the ability to talk to a real human. _Less labor, more time for what matters._\n\n  ![uploaded image](/media/?type=post&id=73645&key=user_uploads/396461/f19dc744-87be-413e-9ca2-ee5c807ce40e)\n\n* **Automated communication**: Hidden Hand can automatically follow up with clients to get any missing information via text or email. Messages are automatically connected to any case management software, and everything is kept in one place.\n\n  ![uploaded image](/media/?type=post&id=73645&key=user_uploads/396461/1e026afd-2d30-4f12-8a1f-e94e9eb55ee1)\n\n* **Automatic Data Entry:** Instead of manually entering information into case management software, we can extract data or documents from conversations, and automatically enter it, saving hours for paralegals. Most importantly, _we maintain the security and privacy of these conversations under attorney-client privilege_ in accordance with the American Bar Association (ABA) guidelines.\n\n  ![uploaded image](/media/?type=post&id=73645&key=user_uploads/396461/1fd844f2-8669-4615-9537-e2a48941aa72)\n\n\n# **Backstory**\n\nI’m Bennett, founder of Hidden Hand. My background is in building end-to-end machine learning systems for reliable decision-making.\n\n![uploaded image](/media/?type=post&id=73645&key=user_uploads/396461/b820a52f-ff66-4d60-a65f-6cfc0cc791a6)\n\n### Sports Betting Fund (250% Returns)\n\nPreviously, I had a sports betting fund that earned 250%+ returns each NBA and MLB season for the last few years. I decided to license my algorithms out to a large-cap betting group that is able to move a lot more investments without being limited in the US.\n\n### I’m Not a lawyer, but…\n\nJust about everyone in my family is a lawyer (parents, brothers, uncles, cousins). I’ve spent my whole life listening to the marketing and operations of boutique firms.\n\nMy expertise in machine learning + boutique firms made this a super clear direction to go down. **I might not be a lawyer, but I am the engineer in the family who can help them be more efficient.**\n\n# **Hidden Hand’s Ask**\n\n1. If you work at a boutique firm and know the struggles of client intake, [book a demo with us](https://calendly.com/bennett-cohen/hidden-hand-demo)! We want to help save 30% on intake time.\n2. If you know somebody at a boutique firm, share us with them! We want to solve their problems.\n\nBook a demo [HERE](https://calendly.com/bennett-cohen/hidden-hand-demo) or request one at <https://www.hiddenhand.io/demo>!\n\n\\-BC ✨ 🫴",
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        "full_name": "Saharsh Agrawal",
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        "id": 93874,
        "title": "Surface Labs — AI Workforce for Marketing Operations",
        "tagline": "Team of AI agents that boosts lead conversions by 30% by taking over marketing ops (ads, routing, follow-ups, etc)",
        "body": "For too long, marketers have been stuck fixing ops instead of building campaigns. [**Surface Labs**](https://withsurface.com/) is building the first **AI Workforce for Marketing Ops** — a team of AI Agents that run your inbound workflows, boost conversions, and cut workloads by 80%.\n\nOur AI Agents are already live in production, handling **50k+ leads every month**. \\\n\\\nMeet one of the first: the **Form Agent**.\n\n![uploaded image](/media/?type=post&id=93874&key=user_uploads/1179226/4f068f22-c1da-43c6-a00a-132cea0b6259)\n\n### **🙅‍♂️ Problem**\n\nMarketing teams spend millions on ads, tools, and headcount… but still lose **30–50% of inbound leads** to spam, bad routing, and slow follow-ups.\n\nEveryday reality:\n\n* Endless spreadsheets and duct-taped workflows.\n* Hours wasted fixing ops instead of building campaigns.\n* Pressure from leadership while growth stalls and leads slip away.\n\nMarketers weren’t hired to babysit forms and CRMs. They were hired to **create, inspire, and drive growth**.\n\n### **👌 Solution: The AI Workforce for Marketing Ops**\n\nWe’re building an AI Workforce that handles the repetitive, manual parts of marketing ops so that marketers can focus on strategy and creativity. Here are some of the members of the Workforce:\n\n* **Forms Agent** → builds high-converting funnels that capture every lead.\n* **Follow-Up Agent** → responds instantly, with personalized outreach.\n* **CRM Agent** → routes and updates deals in Salesforce/HubSpot.\n* **Experiments Agent**→ runs CRO tests automatically to boost conversions.\n* **Ads Agent** → optimizes ad spend and performance in real time.\n\n![uploaded image](/media/?type=post&id=93874&key=user_uploads/1179226/d5785765-ad9a-4de4-a619-72393b38ca91)\n\n### **📊 See Results within 2 weeks**\n\n* **Agent-powered** inbound funnels boost conversions by 30%\n* **80%+ spam eliminated;** replaces expensive ad fraud prevention & lead routing tools (e.g. ChiliPiper, LeanData)\n* **Does the work of 3+ ops hires** at a fraction of the salary cost\n\n### **Want to hire our agents (& get free lunch)?**\n\n**👉 Stop letting leads slip away.** Book a demo/ free strategy call with our founders [**here**](https://calendly.com/surfacelabs/15-min-intro-call-with-surface)**.**\n\nWe’ll audit your inbound funnel/ ops and if we can’t build you a form + workflow funnel that beats your current setup, **lunch is on us.**\n\n### **Want to work with us?**\n\n[**_Surface Labs_**](https://withsurface.com/) _is an applied AI lab building the next generation of marketing technology._ _Our core product grew 70% in the last month, with 500k+ website visitor sessions and 50K+ leads captured every month. Surface AI agents are live in production and usage is 📈📈📈._\n\n_Email [**saharsh@withsurface.com**](mailto:saharsh@withsurface.com) with 3 bullet points on why you want to work with us._",
        "url": "https://www.ycombinator.com/launches/OQ6-surface-labs-ai-workforce-for-marketing-operations",
        "votes": 130,
        "created_at": "2025-09-16T18:12:22.299Z"
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      {
        "id": 81386,
        "title": "Surface Labs: AI that turns Leads into Customers",
        "tagline": "Boost conversion rates by up to 40% using AI.",
        "body": "**TL;DR** We previously built intelligent forms for businesses to **_boost website conversions by up to 40%_**, but found them still struggling to close sales because they _couldn’t **scale manual human tasks**_ against increased lead volume. _We give every site visitor a dedicated AI agent to convert more leads into customers across the entire funnel._\n\n---\n\n—\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n# **The Problem.**\n\n**Over 40% of ad spend is wasted.** Businesses spend money on ads to drive traffic to websites/ PPC pages, but businesses struggle to convert visitors into leads if the page fails to convey value and collect lead data. This results in **leads leaving to visit competitors' websites** and **wasted ad spend.**\n\n![uploaded image](/media/?type=post&id=81386&key=user_uploads/1179226/f96972a0-9b96-420e-afcb-eb33ed6f4957)\n\nEven if a lead does initially convert on the site, it’s not enough. Businesses still need to\n\n* **filter out unqualified leads/ fake form fills**\n* **decrease speed-to-lead**\n* **repeatedly** **engage the lead**\n\nThis problem is most severe for businesses in **competitive ad spaces** with commoditized offerings (e.g. services, lending, higher education, home services, etc).\n\nAs a result, many businesses end up **buying low-quality leads in bulk** from lead gen services or just **spray-and-pray** cold outbound campaigns.\n\n—\n\n# **Our Solution.**\n\nWe’re building an **_intelligent lead management system_** — a better way to track and engage every lead that clicks on an ad & lands on your website.\n\nWe’ve achieved this by building:\n\n* super customizable, **high-converting** lead forms\n* dedicated AI agents to **qualify and engage every lead** on your website\n* better **ad targeting and personalization** using first-party data collected on your website\n\n![uploaded image](/media/?type=post&id=81386&key=user_uploads/1179226/c72a7f9c-8b56-47ab-8c8d-0eb0e222bb54)\n\nThe platform includes a highly customizable, multi-step form builder, agent configuration UI, and data + analytics dashboards that provide granular details for every lead.\n\n![uploaded image](/media/?type=post&id=81386&key=user_uploads/1179226/c8ca819f-6e77-44b7-ac87-a1629bcacc49)\n\n—\n\n## **The Backstory.**\n\nWe (**Arjun and Saharsh**) are both engineers who met at UC Berkeley 🐻 and have helped growth teams at multiple startups and companies like **Snowflake** ❄️ boost funnel conversion rates.\n\nWe launched our high-converting forms product last September, **booked 300+ customer calls** in just a few days, and have helped hundreds of businesses ranging from **law firms, real-estate** and **high-ticket coaching services** to **B2B SaaS companies** spending millions on ads boost conversion rates on their website.\n\n![uploaded image](/media/?type=post&id=81386&key=user_uploads/1179226/d96a94aa-8abd-4359-9bd8-6a4994841385)\n\nAre you ready to optimize your ad spend and engage every lead using AI?\n\nWe’d love to chat! Reach out at [saharsh@withsurface.com](mailto:hello@plyhealth.com), fill out the contact form on our [website](https://withsurface.com/), or book a demo directly [here](https://calendly.com/surfacelabs/25-min-intro-call-w-surface-labs). We’d also appreciate sharing our launch and following us on [LinkedIn](https://www.linkedin.com/company/96129512)!",
        "url": "https://www.ycombinator.com/launches/LAg-surface-labs-ai-that-turns-leads-into-customers",
        "votes": 62,
        "created_at": "2024-06-08T15:17:11.558Z"
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        "id": 74412,
        "title": "🏓 Surface: Intelligent Forms that Boost Conversions",
        "tagline": "We're building a better way to buy products, starting with forms.",
        "body": "👋 Hey everyone - we’re Saharsh and Arjun from [Surface Labs](http://withsurface.com)!\n\n### **🏆 TL;DR**\n\nWe’re building intelligent forms designed to help B2B companies collect richer customer data and convert more site visitors to customers via AI-powered content personalization.\n\n![uploaded image](/media/?type=post&id=74412&key=user_uploads/1179226/feb58565-fcf9-442d-9cd7-9a2b8cfbcd40)\n\n### **🤔 The Problem**\n\n**You’re losing out on the opportunity to collect valuable first-party data from your customers and increase conversions due to suboptimal forms on your landing page.**\n\n* It’s difficult to personalize content on a form using existing solutions, despite this being one of the most effective methods for converting customers\n* Solutions like Typeform don’t fit seamlessly into your product’s design/ styling and can look out of place 🤢\n* HubSpot or custom-built forms can easily lack an optimal UX that drives form conversions 🥱\n\nOptimizing page forms to collect rich user data that your marketing and sales teams can use to drive conversions is important but is an ongoing task that takes resources away from developing your core product.\n\n### **✨ Our Product**\n\nWe’re building intelligent forms designed to help companies collect richer customer data and convert more site visitors to customers through AI-powered content personalization.\\\n\\\nOur forms can be embedded in minutes on your site as a pop-up or even take over the entire page and provide your business with a managed “Contact Sales” page!\\\n\\\nHere are some example of early forms that we’re building:\n\n![uploaded image](/media/?type=post&id=74412&key=user_uploads/1179226/f2cdf1f7-1166-4d67-8ffa-6008adac73c2)\n\n![uploaded image](/media/?type=post&id=74412&key=user_uploads/1179226/14aa7de7-73ea-43cb-986c-79b2bec5499c)\n\n![uploaded image](/media/?type=post&id=74412&key=user_uploads/1179226/6179b0ec-94eb-43d8-b97a-c93f33167b90)\n\nOur platform has helped our customers:\n\n* add targeted messaging to a form to easily enable personalization at scale\n* reduce the burden of data entry for customers to improve form completions by up to 70%\n* manage their entire inbound sales pipeline with our managed “Contact Sales” page experience\n* enrich customer responses with external data sources and ask personalized follow-up questions that allow sales teams to instantly filter, qualify, and book meetings with leads\n\n### **⚙️ Features**\n\nAt their most basic, our forms are customized to match your site’s theme and branding, but here are some additional things our forms can do:\n\n* Intelligent form routing logic\n* AI-Powered A/B testing of questions\n* Automatic lead enrichment and scoring\n* Slack bots that inform you when an important lead has signed up\n* Integrations with your CRM, CDP, analytics, email, and scheduling tools\n\n### 👏 **Our Team**\n\nArjun and I met as freshmen at UC Berkeley 🐻 where we both studied Electrical Engineering and Computer Science (EECS).\n\n![uploaded image](/media/?type=post&id=74412&key=user_uploads/1179226/3f2b4e0b-a5f2-438c-aa96-5b853b512322)\n\n[Arjun](https://www.linkedin.com/in/arjun-sahai/) spent much of his time at Snowflake on the growth team optimizing their self-serve flow, starting with the form on [signup.snowflake.com](http://signup.snowflake.com).\n\n[Saharsh](https://www.linkedin.com/in/saharshagrawal/) received his M.S. in EECS from Berkeley where he studied privacy-preserving systems and has worked at early-stage startups where he built products from 0-to-1.\n\nThey’ve both worked with marketing/ sales/ growth teams to perform experimentation around content personalization, onboarding flows, and form templates to help optimize improve response rates/conversion rates. After directly experiencing how powerful personalized business forms can be, Saharsh and Arjun decided to start Surface.\n\n### **🙏 Asks**\n\nIf you are currently using a custom form/ Typeform/ Hubspot form, have had to disable your Calendly booking screen due to spam bookings, or are struggling to collect rich user data from inbound leads, check us out!\n\nWe’re onboarding a limited number of companies over the next 2 weeks and are custom-building forms for them prior to our self-serve product launch.\\\nBook time to chat with us [here](https://calendly.com/surfacelabs/15-min-intro-call-with-surface?month=2023-09) or reach out at [founders@withsurface.com](https://founders@withsurface.com)!\n\nVisit our website at [withsurface.com](http://withsurface.com) to check out one of our forms!",
        "url": "https://www.ycombinator.com/launches/JMC-surface-intelligent-forms-that-boost-conversions",
        "votes": 68,
        "created_at": "2023-08-25T23:49:16.378Z"
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        "full_name": "Michael Brady",
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        "founder_bio": "Helping BioPharma teams evaluate therapeutic opportunities. Passionate about building AI-native software. Boston native.",
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        "full_name": "Arjun Murthy",
        "title": "Founder",
        "founder_bio": "Proactive Biopharma intelligence. Passionate about helping teams in life sciences navigate complexity with the right information at the right time. ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/arjunmurthy1",
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        "title": "Maven Bio - Your AI analyst for BioPharma market intelligence",
        "tagline": "Empowering BioPharma professionals to get more done by pairing AI-powered research with a world-class BioPharma database. ",
        "body": "**TL;DR:** Maven Bio’s AI Analyst can construct a full competitive landscape, research specific drugs or companies, or analyze trial data, all by leveraging our curated content library of over 10 million BioPharma documents. Join hundreds of users from the world's top BioPharma companies, consultancies, and venture capital firms and try our robust free tier at [mavenbio.io](http://mavenbio.io)\n\n**🎯 The Problem:**\n\nMore than 90% of clinical-stage drugs fail - yet while scientific failures get most of the attention, \\~20% of all programs actually fail for business and commercial reasons. \n\nWhy? \n\nToday, therapeutic opportunities are evaluated using a highly manual process with fragmented information along with a heavy dose of consultants, hundreds of slides, and dozens of disparate data sources, which makes it difficult and time-consuming to assess the commercial potential of a drug.\n\n**✨ Our Solution**: \n\nMaven Bio’s AI Analyst for BioPharma Market Intelligence empowers teams to get smart on an opportunity area and understand the competitive landscape faster and more effectively.\n\nUnlike a generative chatbot or traditional database that provides rows of data but takes no action, Maven Bio’s AI Research Analyst **_actually performs analysis for you_**, giving you meaningful insights on critical BioPharma business questions like:\n\n* _What is the competitive landscape, and how differentiated is a given drug compared to current treatments?_\n* _What are the different approaches companies are taking to develop drugs for this disease, and how do they compare?_\n* _How are patients treated today, and what are the gaps in treatment and the level of unmet need?_\n\nIn a field where accuracy is crucial, we leverage our proprietary content library of over 10 million BioPharma documents with a unique combination of both financial and scientific information, including drug and trial data, press releases, SEC filings, earnings transcripts, and much more to provide unrivaled breadth and depth.\n\n<https://youtu.be/eG2awolu3cM>\n\n👋 **Our ask: How you can help** \n\n* Join hundreds of users across top BioPharma companies and try it yourself at [mavenbio.io](http://mavenbio.io) - we have a robust free tier!\n* Connect us with relevant professionals in BioPharma, including: \n  * Consultants focused on the BioPharma space\n  * Business development, corporate development, and new product planning roles at BioPharma companies\n  * Investment professionals (bankers, VCs, etc.) focused on Biotech\n\nIf you want to discuss additional customizations available in our Enterprise plan, or just want to chat, connect with us [here.](https://cal.com/team/maven-bio/intro)\n\n![uploaded image](/media/?type=post&id=85261&key=user_uploads/89898/4d362486-e4bb-4cfb-ac0a-0077cc49171f)\n\n",
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    "long_description": "Metalware develops advanced firmware security solutions for critical infrastructure, protecting industries like aerospace, defense, automotive, telecom, and healthcare from cyber threats.\r\n\r\nOur product is an automated, intelligent binary fuzzer that enables organizations to efficiently discover and remediate security weaknesses in hardware products before deployment.",
    "one_liner": "Firmware cybersecurity",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Security",
    "launched_at": 1689732876,
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    "year_founded": 2023,
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        "full_name": "Will Lawrence",
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        "id": 72400,
        "title": "Enterprise Account Executive",
        "url": "https://www.ycombinator.com/companies/bretton-ai/jobs/Dh7ku1P-enterprise-account-executive",
        "location": "San Francisco, CA, US / New York, NY, US",
        "type": "Full-time",
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        "role_type": null,
        "salary_range": "$220K - $300K",
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        "id": 90600,
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        "url": "https://www.ycombinator.com/companies/bretton-ai/jobs/dqOP6MV-software-engineer-product",
        "location": "San Francisco, CA",
        "type": "Full-time",
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        "id": 90602,
        "title": "Software Engineer, Infrastructure",
        "url": "https://www.ycombinator.com/companies/bretton-ai/jobs/RnFi0pT-software-engineer-infrastructure",
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        "id": 92361,
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        "url": "https://www.ycombinator.com/companies/bretton-ai/jobs/E8Bd0s3-forward-deployed-engineer",
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        "date": "May 21, 2025"
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        "id": 72627,
        "title": "Greenlite 🟢 AI compliance teams for fintechs",
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        "body": "**TL;DR**\\\n[Greenlite](https://www.greenlite.ai/) helps fintechs unlock growth with an AI compliance team.\n\nOur workforce of AI agents tirelessly handle routine AML and KYC tasks, allowing your team to focus on higher-leverage work.\n\nIf you’re a fintech or compliance leader, get in touch at [founders@greenlite.ai](mailto:founders@greenlite.ai).\n\n## **Problem**\n\nFintech compliance teams **spend millions of dollars on manual anti-money laundering (AML) and know-your-customer (KYC) reviews**. To support customer growth, fintechs turn to outsourced analysts or consultants to complete these reviews.  The workflows assigned to outsourced teams are routine, clearly-defined and require risk-based decisions to be escalated to a full-time employee (FTE).\n\n**Managing outsourced analysts is painful and expensive.** Training takes months, quality assurance is a challenge and any additional tooling/automation needs to be built by your internal engineering teams.\n\n**Critically, the productivity of these AML teams are low**. [McKinsey estimated](https://www.mckinsey.com/capabilities/risk-and-resilience/our-insights/the-investigator-centered-approach-to-financial-crime-doing-what-matters) that as little as 15% of an AML investigator’s time is spent actually investigating. Manual processes, administrative tasks and limited working hours leave backlogs to grow, increasing risks of a major fine.\n\n### **Solution**\n\n[Greenlite](https://www.greenlite.ai/)’s AI agents learn your alert review process and work 24/7 to complete entry-level KYC and AML tasks.\n\nThey pair language models and 200+ data sources to action false positives, investigate high-risk customers and create audit-ready narratives. \n\nSuspicious activity is escalated to your FTEs, allowing you to be in control of risk based decisions.\n\n## **Here’s how it works**\n\n### Choose where you need staff augmentation\n\nGreenlite supports three agent archetypes (with more to come). Each one can learn your company’s specific workflows to handle routine cases.\n\n![uploaded image](/media/?type=post&id=72627&key=user_uploads/1152966/7d2bc16b-7e94-41f7-8bd4-4ef467c09b8c)\n\n### Add your policy, data sources and fuzziness thresholds\n\nUpload your workflow policy, define the data sources that are needed for this job and determine the fuzziness threshold you’re comfortable with.\n\n![uploaded image](/media/?type=post&id=72627&key=user_uploads/1152966/55090200-1b67-4d7f-ae1d-e21c04863a24)\n\n### Review escalated cases\n\nAgents will escalate cases that require a risk based decision. Importantly, your FTEs get an enriched case, complete with entity investigation details, data analysis and open-source intelligence to make high quality decisions more efficiently.\n\n![uploaded image](/media/?type=post&id=72627&key=user_uploads/1152966/07dccab8-c387-42e5-8a02-2fd4a2e6cfdf)\n\nSchedule a demo [here](https://cal.com/greenlite/greenlite-demo) to see how Greenlite can help you scale your compliance operations with AI instead of outsourced teams.\n\n### **Benefits of Greenlite:**\n\n1. **Higher quality, transparency and control of reviews**: give your team better visibility and control of your AML operations.\n2. **Dramatic savings**: using automated systems instead of human-reviewers will unlock capacity for strategic priorities.\n3. **Unblock growth**: with near-instant compliance capacity, your team can focus on higher-priority initiatives, like license applications, complex investigations and scaling core systems.\n\n### **Who are we?**\n\nWe’re [Alex](https://www.linkedin.com/in/jinalex/) and [Will](https://www.linkedin.com/in/lawrencewill/). \n\nWill led product teams working on Facebook's anti-money laundering (AML) platform, combating financial crimes across payment, gaming and e-commerce use cases. He also built core compliance infrastructure at Paxos, a growth-staged fintech that powers over 10M crypto wallets globally. \n\nAlex was an engineer and product manager at Dropbox. He was the first employee at Flixed where he led product development and built a programmatic content engine.\n\nTogether, we’re excited to help fintech compliance teams unlock unprecedented growth with AI.\n\n### **Looking to connect with fintech compliance teams!**\n\nWe’re happy to help fintech compliance teams define their AI strategy. Get in touch at [founders@greenlite.ai](mailto:founders@greenlite.ai).",
        "url": "https://www.ycombinator.com/launches/ItP-greenlite-ai-compliance-teams-for-fintechs",
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    "team_size": 6,
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    "country": "GB",
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        "full_name": "Patrick D. McGuckian",
        "title": "Founder",
        "founder_bio": "Imperial College London alumnus (Design Engineering, specialising in data privacy). Previously COO of Team Repair, a sustainable subscription service teaching STEM & repair. ",
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        "full_name": "Oliver Colebourne",
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        "founder_bio": "Design engineer, specialised in software products. Based in London and studied at Imperial College. Previously CTO for Team Repair, helping create the tech behind our award winning sustainable STEM subscription. ",
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      {
        "id": 81693,
        "title": "Aglide: Connect any app to your existing SSO - no SAML, no SSO tax",
        "tagline": "Avoid SSO taxes & manage access to apps that don’t support SAML, all from within your existing identity provider.",
        "body": "# **TLDR**\n\nAglide gives customers the same secure SSO, with none of the SAML cost and complexity. Admins can manage user access (conditional access, add/revoke apps, etc.), and end-users can access all their apps with their SSO credentials only.\n\nWith Aglide IdP Connect, you can now add Aglide SSO apps directly to your existing identity provider (Okta, OneLogin, etc.) - centralising management and access for every app to a single platform.\n\n[Aglide IdP Connect Demo](https://youtu.be/LW3DsStr4Ok)\n\n# **A lot of apps can’t be managed with SAML**\n\n![uploaded image](/media/?type=post&id=81693&key=user_uploads/496743/55e0ee0d-a31c-48e9-a66e-1e75a1b4cbe7)\n\nSSOs, like Okta, rely on SAML to manage apps. Unfortunately, SAML has a lot of problems.\n\n* **SSO Tax:** Vendors often double or triple their per-head price just to enable SAML (e.g., Figma, Hubspot, [Monday.com](http://monday.com/))\n* **Minimum Licenses:** Some vendors set a minimum license count to unlock SAML (e.g., Coursera)\n* **Lack of Support:** Smaller or older vendors often don't support SAML at all (e.g., Xero).\n* **Account Sharing:** SAML can't be used when you need multiple users to access a single account (e.g., X/Twitter).\n\nAs a result, companies are left with apps outside of their SSO.\n\n# **Having apps outside your SSO causes problems**\n\n![uploaded image](/media/?type=post&id=81693&key=user_uploads/496743/6633000d-928b-43f3-bda8-9b0873a1cbee)\n\n* **Security Risks:** Unmanaged accounts are much more likely to be breached (phishing, no conditional access, no 2FA, reused passwords, etc.)\n* **Compliance Impacts:** Without proper access management, companies may fail to meet key compliance standards (SOC-II, ISO27001, PCI, HIPPA, etc.).\n* **Disjointed End-User Experience:** Users don’t know what they have or how they can access it.\n* **Inefficient IT Teams:** Non-SSO accounts are difficult to manage and routinely get forgotten when leavers are off-boarded - resulting in access being kept.\n\n# **Aglide offers Okta-level SSO for any app, on any plan**\n\n![uploaded image](/media/?type=post&id=81693&key=user_uploads/496743/c968e8ca-c964-43ec-b5a6-5542830c17e4)\n\nAglide lets you manage access to any SaaS account - no SAML required. Aglide SSO is just as powerful as SAML SSO:\n\n* **Conditional Access:** Admins can apply policies like limiting access to work devices only.\n* **Instant Access Revoking:** Leavers can have their entire access revoked in a single click.\n* **Multi-Factor Authentication:** 2-factor authentication can be enforced for any app.\n* **Seamless Sign-in:** Users can access all their apps with a single set of credentials\n\nJust like with SAML, **apps accessed via Aglide SSO can only be accessed via Aglide SSO.** End-users can’t see or change the original credentials.\n\n# **Now you can add Aglide apps to your existing SSO**\n\n![uploaded image](/media/?type=post&id=81693&key=user_uploads/496743/f57033d9-2a24-4ad6-844d-df2eecdd109a)\n\nWith the launch of Aglide IdP Connect, you can now add Aglide SSO apps to your existing identity provider.\n\n* **Truly Single Sign On:** End-users can access their Aglide SSO apps with the same username and password as their SAML apps.\n* **Unified Launcher:** Aglide SSO apps are nested right inside end-users’ existing SSO launcher.\n* **User & Group Syncing:** SCIM syncs users and groups from your existing IdP, so your whole org can be instantly set up with Aglide SSO apps.\n\n# **Our team**\n\n![uploaded image](/media/?type=post&id=81693&key=user_uploads/496743/2524ff74-03fc-4a51-8556-2bb102b6163f)\n\nMy co-founder, Oliver Colebourne, and I met while studying at Imperial College London. There, we started our first company, Team Repair, with the aim of inspiring the next generation to pursue engineering and embrace the idea of repair and not replace.\n\nWhile scaling Team Repair, we experienced the insanity of SAML and the SSO Tax firsthand. It frustrated us so much that we left Team Repair to join YC and build a company to fix it.\n\n# **Our Asks**\n\n* **Calculate your Savings:** Try our SSO tax savings calculator to see how much Aglide could save you - <https://aglide.com/pricing>\n* **Book a Demo:** If you think Aglide could help your business, book a demo - <https://aglide.com/book-demo>\n* **Share Aglide:** Share Aglide with anyone you know in IT - it could help them save $100,000s.\n* **Email me:** If you have any questions or ideas, ping me an email at [p@aglide.com](mailto:p@aglide.com)",
        "url": "https://www.ycombinator.com/launches/LFd-aglide-connect-any-app-to-your-existing-sso-no-saml-no-sso-tax",
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        "created_at": "2024-06-24T14:06:56.254Z"
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        "title": "Aglide: Okta-level SSO, without the SSO Tax - now supporting internal apps.",
        "tagline": "Aglide's SAML-less SSO gives you Okta-style access control for any SaaS app. Now, it can do the same with your internal platforms.",
        "body": "**TL;DR:** With the launch of Internal App Connect, Aglide’s powerful access management - letting you monitor each user's apps, add sign-in rules (e.g., only on work computers), and revoke all access in a click - truly supports everything.\n\n[Aglide Internal App Connect Demo](https://youtu.be/JDSv5ixLUic)\n\n# \n\n# **Managing access with SAML is expensive and complicated.**\n\nExisting SSOs, like Okta, rely on SAML to manage apps. For third-party services, this creates costs and headaches:\n\n* **SSO Tax:** Vendors, like Slack and Salesforce, will double or triple the per-head price just to unlock SAML.\n* **Lack of Support:** Smaller or older vendors often don't support SAML.\n\nBut it’s even worse for internal platforms because companies need to pay a fortune for tools to build it with AND dedicate significant engineering time to set it all up.\n\n# **Manage access to ALL your apps with Aglide SSO.**\n\nWith Aglide SSO, you can connect and manage access to any SaaS account with just its username and password - no SAML, no SSO Tax.\n\nToday, we are expanding Aglide’s coverage by launching Internal App Connect - our new service that lets you connect your internal platforms to your Aglide SSO without any engineering time or effort.\n\n![uploaded image](/media/?type=post&id=79471&key=user_uploads/496743/07dd9cab-52d3-4867-91ff-a8398b516ee6)\n\nAglide gives admins the same control over internal apps as it does with third-party services:\n\n* **Full Access Visibility:** Admins can see and control all the apps each user has access to.\n* **Truly Single Sign On:** Employees can access all their work apps with a single username and password (protecting against phishing).\n* **Instant Access Revoking:** Admins can revoke a leaver’s access in a single click.\n* **Powerful Access Rules -** Admins can apply access policies like limiting access to work devices only.\n\nTo set up Aglide Internal App Connect, all you need to do is submit a sandbox account.\n\n# **Internal App Connect is free for anyone who signs up in March.**\n\nAglide customers are live in a day. To learn more:\n\n* Email me → [**p@aglide.com**](mailto:p@aglide.com)\n* Book a Demo → [**aglide.com/book-demo**](https://aglide.com/book-demo)",
        "url": "https://www.ycombinator.com/launches/Kfn-aglide-okta-level-sso-without-the-sso-tax-now-supporting-internal-apps",
        "votes": 18,
        "created_at": "2024-03-18T18:01:04.553Z"
      },
      {
        "id": 76874,
        "title": "Aglide - SSO & access management, without the SSO tax.",
        "tagline": "Okta-style access management, without relying on SAML. Avoid the SSO tax for services like Salesforce and manage access to accounts that don't support SAML, like Twitter.",
        "body": "**TL;DR:** Aglide gives companies Okta-level access control for any app. All you need to connect an account is its username and password.\n\nCompanies use Aglide as their sole SSO or connect it to their existing provider - letting them avoid the SSO tax and manage access to accounts that don't support SAML, like social media services.\n\n[Aglide SSO Demo](https://youtu.be/FNYjIf68mLQ?feature=shared)\n\n—\n\n# \n\n# **A lot of apps can’t be managed with SAML.**\n\nExisting single sign-on services, like Okta, rely on SAML to manage apps. However, for a lot of services, SAML is not viable.\n\n* **SSO Tax:** Vendors, like Slack and Salesforce, will double or triple the per-head price just to unlock SAML.\n* **Minimum Licenses:** Vendors, like Coursera, set a minimum number of licences to unlock SAML.\n* **Lack of Support:** Smaller or older vendors often don't support SAML.\n* **Account Sharing:** SAML can't be used when you need multiple users to access a single account (e.g., Social Media).\n\n![uploaded image](/media/?type=post&id=76874&key=user_uploads/496743/cf348b5e-3ccf-4f19-a5e6-46f3702aa64e)\n\n—\n\n# **Password managers are a bad solution.**\n\nWhen accounts aren't managed by SAML, they are often stored in password managers, causing headaches:\n\n* **No Access Management:** Password managers can't configure a user's ability to access services (e.g., on company devices only or with a USB Security Key)\n* **Off-boarding:** When employees leave, admins might not know what apps they had access to - meaning accounts their accounts won’t get deactivated.\n* **Leavers Keeping Access:** Employees take passwords with them when they leave - meaning they can still access company information.\n\n—\n\n# **Our Solution: Aglide**\n\nAglide's SSO doesn't require SAML. Any app can be connected with just its username and password.\n\n![uploaded image](/media/?type=post&id=76874&key=user_uploads/496743/62928f4e-bcdc-4d30-8484-362e2e84f4ea)\n\n**Truly Single Sign On:**\n\nWith everything connected, Aglide gives users a truly single sign-on - letting them access everything from individual project management tools to shared social media accounts with one set of credentials.\n\n**Instant Session Revoking:**\n\nWith one click, admins can revoke a user's access to everything - closing any live sessions and blocking their ability to generate new ones.\n\n**Full Access Management:**\n\nAdmins have Okta-level control over connected apps - including limiting access to managed devices or requiring a USB Security Key.\n\n**One control point:**\n\nAdmins can see all the apps each user has access to and how frequently they access them - streamlining off-boarding and helping avoid unnecessary spending on unused accounts.\n\n---\n\n—\n\n# **Connect Aglide to your existing IAM or use it standalone.**\n\nCustomers use Aglide as their sole SSO or connect it to their existing provider - using Aglide as a catch-all for the services where it's unviable to use SAML.\n\n—\n\n# **You could be live within a day**.\n\nTo learn how Aglide could cut your SaaS bills and improve your security posture:\n\n* Email me → [p@aglide.com](mailto:p@aglide.com)\n* Book a Demo → [aglide.com/book-demo](https://aglide.com/book-demo)",
        "url": "https://www.ycombinator.com/launches/Jzu-aglide-sso-access-management-without-the-sso-tax",
        "votes": 20,
        "created_at": "2023-12-13T15:40:42.205Z"
      },
      {
        "id": 73047,
        "title": "Aglide - Control your team's SaaS accounts, access, & bills",
        "tagline": "A password manager that shows what apps employees have, how much they cost, and whether they’re actually used.",
        "body": "**TL;DR:** Aglide is a password manager for startups - showing what apps employees have, how much they cost, and whether they’re actually used.\n\nFirms switch from 1Password to simplify cost tracking, cut unnecessary bills, and easily control who has what access.\n\n![uploaded image](/media/?type=post&id=73047&key=user_uploads/496743/8ad1a01e-fe4e-454f-bc90-6def902a059c)\n\n### Do you _really_ know what apps and access your employees (and ex-employees) have?\n\n**What** **SaaS subscriptions are you paying for?**\n\n“_Everyone has the same 5 core apps… Other than sales who has Pipedrive… Oh, and design uses Figma and Canva… Wait didn’t marketing get that social media tool…”_\n\n**Do you know if services are actually used?**\n\n“_I want everyone to start using our new AI meeting notes tool. Even you, intern that will never host a video call!”_\n\n**Do ex-employees have access to things they shouldn’t?**\n\n“_Just found out we never removed Yasmin from Github after she left. Now she’s working for our competitor!”_\n\n![uploaded image](/media/?type=post&id=73047&key=user_uploads/496743/d312afdf-7f4c-41a7-950b-b143fcab3e80)\n\n### Enterprise products solve this for enterprises, but not startups and scale-ups.\n\n**They require expensive “Enterprise Plans”:**\n\n* Each managed app needs upgrading to expensive SSO plans:\n  * Figma goes from $12/month to $45/month (Ouch!)\n  * GitHub goes from $4/month to $21/month (5x higher!)\n  * Netlify won’t even tell you (but [these people](https://sso.tax/) say it goes from $19/month to $99/month)\n\n**You need to “Contact Sales”**\n\n* Enterprise services make you sit in a series of sales calls before you can even get started.\n* Founders are busy. They need the problem solved in minutes, not weeks.\n* Oh, and they are spectacularly complicated, so you better hire an IT guy to manage it all.\n\n![uploaded image](/media/?type=post&id=73047&key=user_uploads/496743/b4d75437-f1a3-43a0-be29-42807d715949)\n\n## Our Solution: Aglide\n\nAglide gives you the power of expensive enterprise tools, in a product that’s as easy to use as a password manager.\n\n![uploaded image](/media/?type=post&id=73047&key=user_uploads/496743/34766f94-b66d-4051-a502-386532c7a8c6)\n\n**Benefits for you:**\n\n* Set up and roll out to every employee in **less than 5 minutes.**\n* Monitor the apps each employee has and how much they cost.\n* Find and unsubscribe from expensive services no one is using.\n* Someone leaving? Get a list of all their apps to see what needs deactivated.\n\n**Benefits for your employees:**\n\n* Securely store any account, credit card, API key and more!\n* Create vaults to easily share accounts and items between teams.\n* Install the extension, and sign in once per day to seamlessly access all your apps.\n\n**Setting up Aglide and deploying it to your entire team takes less than 5 minutes.**\n\n### Our Ask\n\n* **Tell us the IT problems you want fixed:** We want to hear ALL about your IT pains. Email me at [p@aglide.com](mailto:p@aglide.com) or (if you’re a hero) book a call → [link](https://calendly.com/pdmcguckian/aglide-enquiry)\n* **Sign up today:** Sign up and migrate from 1Password in less than 5 minutes → [link](https://dashboard.aglide.com/join)\n\n![uploaded image](/media/?type=post&id=73047&key=user_uploads/496743/c0d0a347-44e7-4e90-b2bf-0820bbc15b9f)\n\n",
        "url": "https://www.ycombinator.com/launches/J0B-aglide-control-your-team-s-saas-accounts-access-bills",
        "votes": 44,
        "created_at": "2023-07-13T19:46:03.233Z"
      }
    ]
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    "id": 28935,
    "name": "Fortuna Health",
    "slug": "fortuna-health",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d0f365057ccae10a0cfaf730387d65ea55aede28.png",
    "website": "https://fortunahealth.com/",
    "all_locations": "New York City, NY, USA",
    "long_description": "Fortuna is a one-stop solution that helps consumers navigate Medicaid end-to-end from eligibility and enrollment to renewing coverage. \r\n\r\nOur platform creates value as the middleware layer for the $800B Medicaid ecosystem.",
    "one_liner": "TurboTax for Medicaid",
    "team_size": 29,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Healthcare IT",
    "launched_at": 1691019691,
    "tags": [
      "Health Tech",
      "Healthcare",
      "Healthcare IT"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
      "Healthcare",
      "Healthcare IT"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
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    "stage": "Growth",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/fortuna-health",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/fortuna-health.json",
    "year_founded": 2023,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/fortuna-health/",
    "x_url": "https://twitter.com/hifortunahealth",
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    "app_video_url": null,
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    "company_photos": [],
    "primary_partner": {
      "name": "Garry Tan",
      "url": "https://www.ycombinator.com/people/garry-tan"
    },
    "founders": [
      {
        "user_id": 1361784,
        "full_name": "Cydney Kim",
        "title": "Founder",
        "founder_bio": "Healthcare operator (Halo Dx, McKinsey, Bridgewater)",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/cyd-kim",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b35a7b5f3eb100234e5081fe2991dd56a160521f.jpg"
      },
      {
        "user_id": 1400986,
        "full_name": "Nikita Singareddy",
        "title": "Founder",
        "founder_bio": "Building the TurboTax for 90M Americans on Medicaid. Did things at Truepill, a16z, RRE Ventures, and Oscar Health.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/nikita-m-s",
        "x_url": "https://twitter.com/singareddynm",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/021b17d5948b302cfde2fb657ec4b3a600507ea5.jpg"
      },
      {
        "user_id": 1402830,
        "full_name": "Ben Wesner",
        "title": "Founder",
        "founder_bio": "First SWE @ Juniper (W21), Bloomberg, Brown '18",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/benjaminwesner",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a65af312767dcb1154bac3caba29e40bc9de5907.jpg"
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    ],
    "jobs": [
      {
        "id": 71017,
        "title": "Senior Software Engineer",
        "url": "https://www.ycombinator.com/companies/fortuna-health/jobs/6jkbCBj-senior-software-engineer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$180K - $200K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 78966,
        "title": "Operations Lead",
        "url": "https://www.ycombinator.com/companies/fortuna-health/jobs/9qAiMUW-operations-lead",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$160K - $180K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 83002,
        "title": "Product Operations Associate",
        "url": "https://www.ycombinator.com/companies/fortuna-health/jobs/bmGIxsh-product-operations-associate",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$90K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "Exclusive: Medicaid navigator Fortuna Health inks $4M seed joined by John Legend",
        "url": "https://www.axios.com/pro/health-tech-deals/2023/11/15/medicaid-navigator-fortuna-health-raises-4m-seed-john-legend-a16z",
        "date": "Nov 15, 2023"
      }
    ],
    "launches": [
      {
        "id": 73742,
        "title": "Fortuna Health: TurboTax for Medicaid",
        "tagline": "We simplify Medicaid application filing and renewals",
        "body": "**TLDR** - Fortuna Health is TurboTax for Medicaid. We simplify Medicaid application filing so consumers can easily check eligibility, enroll, and renew their coverage.\n\n**The Problem**\n\nToday, \\~90M Americans on Medicaid face acute challenges with eligibility screenings and (re)enrollment. It takes hours for consumers to navigate glitchy websites and long, paper Medicaid forms.\n\n![uploaded image](/media/?type=post&id=73742&key=user_uploads/89898/ebdc0992-91cf-4f63-b15d-9fd3402c314b)\n\nThe experience is so poor that procedural reasons (e.g., form errors, missing a notice in the mail) account for a staggering 75% of disenrollments. This is terrible for consumers who lose coverage and produces huge downstream consequences: Medicaid health plans (MCOs) lose over $30B from churn, providers suffer $13B in lost patient revenue and uncompensated care, and states waste $8B on administrative costs.\n\nMore than ever before, Medicaid enrollment demands immediate attention given the ongoing Medicaid redetermination crisis putting 15M enrollees at risk of losing coverage in the next 18 months.\\\n**\\\nOur Solution**\n\nFortuna solves the $57B enrollment problem with a consumer product (beautiful, simple state Medicaid filing experience just like Turbotax is for taxes). By making products that consumers want to use, we unlock immense value for providers and health plans.\n\n![uploaded image](/media/?type=post&id=73742&key=user_uploads/89898/a3771849-1883-4036-8992-88cec6086161)\n\nOur unique approach provides consumers with a seamless web experience, eliminating the need to interact with state portals. We offer 60-second eligibility checks and 5-minute (re)enrollment in 7 languages. To accelerate completing applications, we allow consumers to connect accounts that auto-populate their filings, provide a \"virtual\" mailbox for state and health plan communications, and send text notifications for urgent actions.\n\nProviders and health plans have had limited real-time visibility into enrollment and revenue risk until now. The Fortuna platform allows providers and health plans to seamlessly monitor Medicaid enrollment status and consumer next steps, receive real-time updates on contact information, and benefit from comprehensive analytics.\n\nOur vision is to transform the enrollment experience and expand our products to become the consumer-facing digital infrastructure that powers the $800B+ Medicaid ecosystem.\n\n**The Team**\n\nWe’re all former operators and engineers with experience scaling early and mid-stage healthcare startups that covered Medicaid.\n\n* Cydney is a former management consultant who helped scale a health tech company from seed to Series C as General Manager and VP of Operations and Strategy. 30% of the company’s patients were Medicaid beneficiaries.\n* Ben was the first software engineer at behavioral health revenue cycle startup Juniper (YC W21) and helped grow the engineering team to 12. Almost 40% of children in the US are covered under Medicaid/CHIP.\n* Nikita started her career at Oscar Health and spent the past 2 years at Truepill (YC S17) building pharmacy solutions for community health centers and FQHCs that served Medicaid patients. She was born on public assistance.\n\n**The Ask**\n\nKnow any health plans, hospitals, and provider organizations with large Medicaid populations? Please reach out to [**founders@fortunahealth.com**](mailto:founders@fortunahealth.com)",
        "url": "https://www.ycombinator.com/launches/JBO-fortuna-health-turbotax-for-medicaid",
        "votes": 101,
        "created_at": "2023-08-02T23:55:00.179Z"
      }
    ]
  },
  {
    "id": 28940,
    "name": "Guac",
    "slug": "guac",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3ffff2e450f7c22939b75b50d62a49acbce05716.png",
    "website": "https://www.guac.com/",
    "all_locations": "New York City, NY, USA",
    "long_description": "Guac accurately forecasts grocery demand to help supermarkets order and produce the right amount of inventory — reducing food waste and increasing availability.",
    "one_liner": "AI-powered forecasting & replenishment for grocery",
    "team_size": 7,
    "industry": "B2B",
    "subindustry": "B2B -> Supply Chain and Logistics",
    "launched_at": 1688056061,
    "tags": [
      "Grocery",
      "Machine Learning",
      "Climate",
      "Supply Chain"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
      "B2B",
      "Supply Chain and Logistics"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/guac",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/guac.json",
    "year_founded": 2023,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/guac-ai",
    "x_url": "",
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    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3ffff2e450f7c22939b75b50d62a49acbce05716.png",
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    "company_photos": [],
    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
    },
    "founders": [
      {
        "user_id": 1328192,
        "full_name": "Euro Wang",
        "title": "Founder",
        "founder_bio": "Co-Founder & CEO of Guac. Passionate about tackling food insecurity & waste with technology!",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/eurowang",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b14c1e630ea2d7c23cae28383bd412bf53ab2aee.jpg"
      },
      {
        "user_id": 1361004,
        "full_name": "Jack Solomon",
        "title": "Founder",
        "founder_bio": "Co-Founder and CTO of Guac. ML engineer working to make grocery retail more efficient.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/jackasolomon",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/995482d8fecb6fd97f6aaffd15da4536953da04c.jpg"
      }
    ],
    "jobs": [
      {
        "id": 95055,
        "title": "Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/guac/jobs/qTXMy4i-forward-deployed-engineer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $250K",
        "equity_range": "0.50% - 1.00%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": [
          "Google Cloud",
          "Python",
          "AI Agents"
        ]
      },
      {
        "id": 95386,
        "title": "Fullstack Engineer",
        "url": "https://www.ycombinator.com/companies/guac/jobs/s9SJAAT-fullstack-engineer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $250K",
        "equity_range": "0.50% - 1.00%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": [
          "Python",
          "React",
          "TypeScript",
          "Next.js"
        ]
      },
      {
        "id": 95387,
        "title": "Backend Engineer",
        "url": "https://www.ycombinator.com/companies/guac/jobs/NECdEjo-backend-engineer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$150K - $250K",
        "equity_range": "0.50% - 1.00%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": [
          "Google Cloud",
          "Python"
        ]
      },
      {
        "id": 100833,
        "title": "Strategy & Operations",
        "url": "https://www.ycombinator.com/companies/guac/jobs/IctDRvB-strategy-operations",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Product",
        "role_type": null,
        "salary_range": "$150K - $180K",
        "equity_range": "0.30% - 0.80%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "How the Produce Aisle Inspired a Grocery Tech Startup",
        "url": "https://progressivegrocer.com/exclusive-how-produce-aisle-inspired-grocery-tech-startup",
        "date": "Jan 02, 2024"
      },
      {
        "title": "Y Combinator-backed Guac trains algorithms to predict grocery demand | TechCrunch",
        "url": "https://techcrunch.com/2023/12/19/y-combinator-backed-guac-trains-algorithms-to-predict-grocery-demand/",
        "date": "Dec 19, 2023"
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      {
        "title": "Our favorite startups from YC's Summer 2023 Demo Day, Day 1 | TechCrunch",
        "url": "https://techcrunch.com/2023/09/06/ycombinator-demo-day-one-summer-2023/",
        "date": "Sep 06, 2023"
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        "id": 72798,
        "title": "🥑 Guac: Ending grocery food waste with AI",
        "tagline": "Hyper-accurate demand forecasting for supermarkets",
        "body": "**TLDR:** We tell grocery stores exactly how many avocados they’ll sell next Tuesday.\\\n\\\n[Guac](http://tryguac.co) uses machine learning to accurately predict how much grocery retailers will sell each day. This helps them order the perfect amount of inventory: enough to meet customer demand without sending tons of leftover food to landfill.\n\n### **🗑️ PROBLEM**\n\n* **Predicting future demand is hard**: product-level demand drastically fluctuates each day based on hundreds of factors like weather, road closures, and sports games. Yet, even the largest supermarket chains still use basic regression models or Excel formulas, which means … \n* **Tons of food waste and empty shelves**: which costs grocery retailers in Europe/US $188B and costs our planet 15 million metric tons of greenhouse gas emissions each year.\n\n### **🥑 OUR SOLUTION**\n\n* **Industry-leading algorithm** that predicts order quantities for each item, each day, each store location. Our average forecast error (MAE) for our current customers is 0.95 units, which translates to a 38% reduction in food waste.\n\n![](https://lh6.googleusercontent.com/ib8L-X2brvq2yDx0i7QlNLakpS-1x79zlJSzMI5phoohO6II0KB9q3GhWEilhqDc6sXoBUm24rj4NXCX4O5sTa9susviyZFku6vb0YzC9_qIVa0Nbq-6YMHvuNaBx_P8_30I8wteFfbGtJu_3g5vdqo)\n\n* How?\n  * **More than just ML**: Grocery demand is driven by real world events that ML models don’t know exist. So we inject 230+ external variables to actually capture people’s buying behavior …  \n  * **_For example,_** _we found that sports betting odds help us predict beer sales. When a sports match is predicted to be a close game, it turns out more people watch the game, driving up beer sales!_\n  * **Customized** for each store location: grocery stores located just 5 miles apart have different customer behavior.\n* **Inventory ordering optimization**: We then turn our hyper-accurate predictions into useful inventory order quantities, based on individual SKU-specific requirements: minimum order quantities, promotions, unknown loss estimates, shelf life, supplier lead times, and more.\n* **Modular integration:** We integrate our ordering recommendations right into the retailer’s existing inventory ordering softwares and workflow. Whether inventory ordering is done at the HQ-level vs. store-level, we fit into the retailer’s system, instead of forcing them to uproot their system to fit into ours.\n\n### **🙏 OUR ASK**\n\nWe’d love introductions to grocery chains (anywhere in the world), especially:\n\n1. Discount grocery chains, with tighter margins\n2. Grocery chains in more remote locations (e.g. Hawaii), with longer supplier lead times and inflexible supply chain\n3. Asian grocery chains in the US, who import a lot of their products from abroad\n\nAnd if you know anyone in the general food/grocery space (POS providers, suppliers/distributors, grocery food waste charities, etc), please let us know at [founders@tryguac.co](mailto:founders@tryguac.co).",
        "url": "https://www.ycombinator.com/launches/IwA-guac-ending-grocery-food-waste-with-ai",
        "votes": 85,
        "created_at": "2023-07-06T00:47:22.192Z"
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      "url": "https://www.ycombinator.com/people/diana-hu"
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        "full_name": "Ali Akhtar",
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        "founder_bio": "Founder & CEO of Letter AI. A decade of experience in AI across various roles - as VP of ML Products at project44, ML Engineering Director at Samsara, and AI-focused consultant at McKinsey. Reach out to talk AI, enterprise SaaS, sales enablement, or anything else!",
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        "founder_bio": "Co-Founder of Letter AI, software engineer, architect and leader. I started my career in military/aerospace and moved to distributed backends and ML Operations. Currently obsessed with the endless possibilities of generative AI and helping our enterprise customers leverage this technology with minimal friction.",
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        "experience": "3+ years",
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    "news": [
      {
        "title": "AI-Powered Revenue is Here",
        "url": "https://www.youtube.com/watch?v=znULXKSAN7o",
        "date": "Feb 25, 2026"
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      {
        "title": "Pitch Deck: Letter AI Raises $40M, Unveils New Sales Software Feature - Business Insider",
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        "date": "Feb 23, 2026"
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        "title": "The Next Chapter: Letter AI Raises Series A Funding to Help Revenue Teams Thrive",
        "url": "https://www.letter.ai/blog/the-next-chapter-letter-ai-raises-series-a-funding-to-help-revenue-teams-thrive",
        "date": "Oct 21, 2025"
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        "title": "Ushering in a new era of AI-powered revenue acceleration",
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        "title": "📈 Letter AI - Personalized and up-to-date sales enablement, built 10X faster with AI",
        "tagline": "We help your sales teams improve win rates by 30%+ at a fraction of the operational overhead with engaging AI generated enablement",
        "body": "**TL;DR:** [Letter AI](https://www.letter.ai/) empowers sales teams to create personalized enablement content using generative AI. Build and maintain sales assets and product trainings 10X faster using your existing docs and data, empowering reps to close deals instead of wasting hours chasing content.\n\n👋 **Hi we are Ali and Armen from **[**Letter AI**](https://www.letter.ai/)**.** We spent our careers building AI SaaS for enterprise customers at companies like Samsara and Cirrus Logic. As product and engineering leaders, we saw first hand how poor enablement led to time wasted and deals lost. We are building Letter AI to be the solution we wish our sales teams had.\n\n![uploaded image](/media/?type=post&id=73494&key=user_uploads/1316059/981d9300-f59d-43d8-a174-a59d42b6a3fa)\n\n### **❗The Problem**\n\n* **Sales teams feel uninformed about the products they sell.** 42% of sales reps feel they don't have enough information before calling a prospect. The problem is worse at companies with multiple or complex products.\n* **Sales teams squander hours finding the right content to share with customers and prospects.** Even when they find the content, it’s outdated or needs to be personalized for their customer. The average rep spends 440 hours per year doing this - that’s 20% of a 40 hour work week 😅\n* **Companies invest millions in sales enablement, but content goes out of date almost immediately and is impossible to personalize at scale.** Enterprises lose $2.3M on average annually from the opportunity cost of underused or unused content.\n\n### 📈 **Enter Letter AI**\n\nLetter AI leverages generative AI to create interactive and personalized enablement content in minutes, all from your existing documents and data (requirements docs, marketing decks, videos, Gong recordings, etc.). We’re building:\n\n* **AI-driven content creation and updates:** Simply provide your docs / data and few instructions to build interactive learning, product one-pagers, and more. Make updates everywhere with a single instruction.\n* **Personalization at scale:** Re-shape your content instantly for specific roles, industries, reps, or customers. Extract the most relevant content, personalize it, and share with customers using company PPT / PDF templates\n* **AI copilot for real-time help:** Enable your own ChatGPT-like AI assistant with expertise on your products. Reps can get the real-time help they need before going into meetings - or even during them\n* Plus the other things you know and love about enterprise sales software (collaboration, usage analytics, robust RBAC, etc.)\n\n💻 [**Here’s a demo**](https://www.loom.com/share/9fdab38ed7724d40a610e92df009cce0?sid=1b7c37bf-cbfd-4570-85da-a53217aa6594) of Ali building sales training in \\~5 minutes for a product he previously launched using just 2 public blog posts and API docs. The results are on par with what took product, marketing, and sales teams weeks to develop!\n\n![uploaded image](https://bookface.ycombinator.com/media/?type=post&id=73494&key=user_uploads/1316059/338118a6-6d95-48e2-aade-161b9ee6090e)\n\n### **🙏 Asks**\n\n* **We are expanding our pilot program to include more customers!** If your company has a large or fast growing sales team and you want to supercharge enablement at a fraction of the overhead, reach out at [hello@letter.ai](mailto:hello@letter.ai).\n* **If you’ve been a part of the wonderful world of B2B sales or sales enablement, we would love your feedback.** Share product feedback and coffee / lunch / dinner / drinks are on us.",
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        "votes": 23,
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    "name": "Rimward",
    "slug": "rimward",
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    "one_liner": "Solar farm security software for existing cameras",
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        "role_type": "Embedded systems",
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        "experience": "3+ years",
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        "title": "Platform Engineer",
        "url": "https://www.ycombinator.com/companies/rimward/jobs/Ocflvow-platform-engineer",
        "location": "Paris, IDF, FR / Paris, Île-de-France, FR",
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        "title": "Here are this year’s top 40 startups at Station F | TechCrunch",
        "url": "https://techcrunch.com/2023/11/15/here-are-this-years-top-40-startups-at-station-f/",
        "date": "Nov 15, 2023"
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        "id": 74260,
        "title": "🦆 Quack AI - AI companion for developer onboarding",
        "tagline": "Bridging open-source efficiency to drive enterprise excellence.",
        "body": "Hello there! I'm FG (short for François-Guillaume 🇫🇷), the founder of [Quack AI](https://www.ycombinator.com/companies/quack-ai).\n\n**tl;dr:** _We help large software companies run like the most efficient open-source projects. In the future, top-tier developers in those organizations will be able to contribute to pivotal projects, regardless of what teams they're from._\n\n### **💬** The Problem\n\nSuccessful OSS projects are well-organized communities where information is shared and valued. Recognizing this gold standard, corporate giants like Microsoft and IBM are shifting towards 'innersource' - a strategy that fosters ownership, augments communication, and bolsters productivity. However, like many cluttered OSS projects, the vast array of solicitations and varying expertise easily gets overwhelming.\n\n### 💻 Our Solution\n\nOur Dual-Fold Approach:\n\n![uploaded image](/media/?type=post&id=74260&key=user_uploads/1390247/195e8fa1-3b7d-4327-9507-c05a168f1531)\n\n* **Clarity for maintainers** (Web interface): we empower maintainers with a framework to streamline contribution processes. Through our intuitive interface, maintainers can design, curate, and sequence the optimal steps for smooth project contributions.\n\n![uploaded image](/media/?type=post&id=74260&key=user_uploads/1390247/94e7fe10-fc64-4df9-893a-8f20fd16e2ea)\n\n* **Guidance for developers** (VSCode extension): with our IDE extension, developers aren't just compliant; they're efficient. It aids in identifying the right issues, ensures alignment with contribution flows, and keeps a pulse on project priorities.\n\nWhile maintaining popular OSS projects and being an active contributor to PyTorch, I’ve often faced the frustration of seeing Pull Requests from newcomers and thinking “If only that person had the reflex to do XYZ.” Those unwritten norms, which often evade CI restrictions, only sink in after repeated code reviews and numerous trials and errors. This uneasy feeling that “it would be so easy if they were to do ABC” highlights the absence of a solid framework for collaborative development.\n\n### 🦆 The Team\n\n![uploaded image](/media/?type=post&id=74260&key=user_uploads/1390247/153b4727-f3fd-4ba1-9020-45fbc7e19d2b)\n\nI tend to describe myself as a _\"Deep learning engineer by day, open source contributor by night 🦇\"_ which is fairly accurate! On top of being among the top contributors of PyTorch, I’ve led the development of the open-source OCR library of devtool company Mindee (YC W21). I experienced first-hand how some open-source communities are structured to achieve high engagement & productivity, which now appeals to software behemoths.\n\n### 🙏 How you can help\n\n* **🤝 Refer**: know someone in a major corporation looming over innersource or part of a substantial OSS project? Please connect us.\n* **⭐ Engage**: star us on [GitHub](https://github.com/quack-ai/companion) & hop into our [Discord](https://discord.gg/E9rY3bVCWd) for the latest updates!\n* **👍👎 Experiment & feedback**: mold your unique coding insights and take our [VSCode extension](https://marketplace.visualstudio.com/items?itemName=quackai.quack-companion) for a whirl.\n* **📣 Share**: share this post with your network, you can find us on [Twitter](https://twitter.com/quack_ai) or [LinkedIn](https://www.linkedin.com/company/quackai)\n\nUp to revolutionize developer collaboration? Let’s get quacking then!",
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    "long_description": "Automate and strengthen manual risk and compliance operations for fintechs and banks. Given a third party contracts and documentation, Kobalt’s reasoning engine ingests internal policies and procedures, legal commitments, past privacy and compliance assessments, and syncs with external legislation to instantly auto-surface and track risks.\r\n\r\nWe're helping community/regional/sponsor banks increase revenue and scale their partnership and vendor volume, and we're helping fintechs conduct their partner diligence in 1/10 the time, all without needing to increase headcount.\r\n",
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        "title": "🚀 Osium AI -  AI for advanced and sustainable materials discovery",
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        "body": "Hello everyone,  \n\n**We are **[**Sarah Najmark**](https://www.linkedin.com/in/sarah-najmark-706b80131/)** (left) and **[**Luisa Bouneder**](https://www.linkedin.com/in/luisa-bouneder-262b801aa/)** (right), the founders of **[**Osium AI**](https://osium.ai/)**, and close friends from Stanford University.**  \n\n![uploaded image](/media/?type=post&id=72918&key=user_uploads/806335/a66e9745-84c1-4978-a0ab-49153939a69d)\n\n\n**Our AI-powered software enables materials R&D engineers to formulate and analyze materials much faster.**   \n\n### **Problem**\n\nTo date, materials manufacturing companies rely on trial-and-error and manual approaches to develop new materials. This is a tedious and time-consuming process - at least 5 years are spent just formulating and testing in the R&D lab. Yet, the paradigm shift towards carbon neutrality by 2050 puts more and more pressure on advanced materials innovation.     \n\n### **Solution**\n\nWe develop state-of-the-art AI technologies for materials properties predictions, inverse design of materials, and accelerated microscopy image analysis. Our product is an AI-powered software with an intuitive interface making it easy-to-use by any material R&D engineer with no data science background.       \n\n![uploaded image](/media/?type=post&id=72918&key=user_uploads/806335/24105469-4ab7-47cc-ba78-719fab587cbe)\n\n                 \n\n![uploaded image](/media/?type=post&id=72918&key=user_uploads/806335/10393954-73d9-4a8c-afa4-991e7baaaad8)\n\n### **Our team**\n\nWe leverage our unique combination of expertise in Materials Science and Artificial Intelligence.  \n\nWe led AI research at Stanford and Google \\[X\\], authored 2 AI patents, and we have a track record in building AI products for Materials Industry leaders.\n\n### **Our ask**\n\n* Follow us on [Linkedin](https://www.linkedin.com/company/osiumai/?viewAsMember=true).\n* Are you willing to accelerate your materials innovation? Book a demo [here](https://calendly.com/osiumai). \n* Do you know someone working in materials manufacturing or chemistry companies? Reach out to us at [founders@osium.ai](mailto:founders@osium.ai).\n\n ",
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        "id": 72380,
        "title": "Flint: Copilot for K-12 teachers 🪨💥🔥",
        "tagline": "Flint saves teachers 10+ hours per week in creating and differentiating classroom content",
        "body": "**TLDR:** Flint lets teachers create classroom activities, worksheets, quizzes, and handouts in seconds with AI. **Share Flint with a teacher in your life to save them 10+ hours week**: [**http://flintk12.com/**](http://flintk12.com/)\n\nTeachers are increasingly overworked and ridiculously underserved. Flint aims to change that by creating AI tools built from the ground up with one goal in mind: helping teachers ([demo video](https://vimeo.com/834900487)).\n\nWith Flint, K-12 teachers can…\n\n![uploaded image](/media/?type=post&id=72380&key=user_uploads/431287/58a14868-a9b2-4c96-a4e0-f8633d266248)\n\ncreate content in seconds,\n\n![uploaded image](/media/?type=post&id=72380&key=user_uploads/431287/c40f69f3-0ad3-463e-aeba-d4ede6a76534)\n\ndifferentiate to student needs,\n\n![uploaded image](/media/?type=post&id=72380&key=user_uploads/431287/18a65df6-f8e3-48b8-aefb-32cba0b2702f)\n\nand align to curriculum standards.\n\n![uploaded image](/media/?type=post&id=72380&key=user_uploads/431287/470b474f-2c30-4907-8cf0-bee06981ddba)\n\nAll supercharged with AI.\n\n![uploaded image](/media/?type=post&id=72380&key=user_uploads/431287/0ceaa0ca-9730-4bc9-ab53-09f764a123d0)\n\nWe’re Jinseo (left) and Sohan (right). We previously built a startup in the video chat space during the pandemic, and are now excited to be working with K-12 teachers!\n\n**Our ask — share Flint with a teacher that you know!** Send them our website (<http://flintk12.com/>) or intro us via email ([sohan@flintk12.com](mailto:sohan@flintk12.com)). _Our only goal is to create a product that teachers love!_\n\nAnd, if you’re feeling generous, follow our journey on [Twitter](https://twitter.com/flintk12_) and [LinkedIn](https://www.linkedin.com/company/flintk12/) ❤️",
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        "created_at": "2023-06-20T06:34:15.874Z"
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    "all_locations": "New York City, NY, USA",
    "long_description": "We're building the unified marketing measurement stack for online stores. We make it easy for marketeers to understand where their customers come from, cut unprofitable channels, and scale when things are working.\r\n\r\nWe are vertically integrating the modern data stack for marketing teams of online stores by consolidating customer data collection, consent management, identity resolution, transformations, attribution, data forwarding, and analytics into a single platform.",
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    "team_size": 11,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1687127368,
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        "full_name": "Jan-Henrik Lambrechts",
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        "founder_bio": "co-founder and ceo @Converge -- worked on ml vision models @TsinghuaU before that",
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        "full_name": "Jerome Billiet",
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        "founder_bio": "Co-founder at Converge - studied finance at London Business School before.",
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        "url": "https://www.ycombinator.com/companies/converge/jobs/lQamnCz-account-executive",
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        "title": "Product Engineer",
        "url": "https://www.ycombinator.com/companies/converge/jobs/rCwUC9I-product-engineer",
        "location": "New York, NY, US",
        "type": "Full-time",
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        "title": "MarTech startup Converge raises $5.6M",
        "url": "https://www.axios.com/pro/media-deals/2025/02/06/exclusive-martech-startup-converge-raises-56m",
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        "id": 72382,
        "title": "Converge - Segment for ecommerce",
        "tagline": "We help online stores improve ad performance and attribution accuracy through better tracking.",
        "body": "**TL;DR:** [**Converge**](https://www.runconverge.com?utm_source=yc&utm_medium=organic&utm_campaign=launch-yc) auto-tracks and forwards ecommerce customer events like Add To Cart and Purchase to analytics and ad platforms for accurate attribution and better ad performance.\n\n### **Problem: Tracking for ecommerce is broken**\n\nCorrect attribution and conversion tracking is at the core of every ecommerce business.\n\nHowever, tracking setups suffer from..\n\n* **Missing** **data**: Stores miss on avg. \\~10-30% of conversions due to limitations of browser tracking (e.g. ad-blockers) resulting in _broken attribution data and wasted ad budget._\n* **Poor observability:** Popular tools like Google Tag Manager provide no way to check whether tracking is still working, resulting in _costly bugs that remain undiscovered._\n* **Cluttered configurations:** Operators often loose grip on their tracking setup after years of uncoordinated updates, resulting in a clutter of pixels, tags, and first-party integrations across multiple platforms.\n* **Lack of developers:** Many ecommerce teams don't have in-house devs, making it infeasible for them to integrate with existing CDP tools such as Segment.\n\n## **Solution: Accurate auto-tracking**\n\nConverge tracks all important events automatically – across the browser, store backend and subscription platforms. No technical expertise required.\n\nBecause conversions are being tracked on the store backend rather than the browser, Converge can track 100% of conversions and forward these to relevant ad platforms and analytics tools.\n\nUnlike Segment or other CDPs, Converge allows non-technical ecommerce operators to set this tracking up in minutes.\n\n![uploaded image](/media/?type=post&id=72382&key=user_uploads/772323/7f38e933-f6ce-489f-abf6-cd11149e83d1)\n\nOnce tracking is set up, Converge aggregates data from all sources and provides a single overview of ecommerce KPIs.\n\n![uploaded image](/media/?type=post&id=72382&key=user_uploads/772323/5eb15873-3ea8-4e32-8e96-2efa057df4d7)\n\nUsers can also break down attribution metrics across channels, campaigns, adsets, and even ads, showing what is driving growth on a granular level.\n\n![uploaded image](/media/?type=post&id=72382&key=user_uploads/772323/eb78601f-2d1a-4a75-a35b-f5e7db168d3f)\n\n## **Our ask**\n\n* Sign up for [**Converge**](https://www.runconverge.com?utm_source=yc&utm_medium=organic&utm_campaign=launch-yc) today and test it for free!\n* If you know any **ecommerce brands or agencies**, we would love to chat!",
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        "votes": 24,
        "created_at": "2023-06-20T14:03:45.650Z"
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    "all_locations": "New York City, NY, USA",
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        "date": "Aug 14, 2025"
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        "title": "🤖 Sola - Build AI agents in copilot",
        "tagline": "Meet Sola, your co-pilot for Robotic Process Automation!",
        "body": "**tl;dr:** _Sola is copilot for Robotic Process Automation. We help automation-minded teams visually script bots that emulate human behavior to automate data entry, scraping, and filing flows using LLMs and computer vision._\n\nHey everyone! We’re Jess and Neil, the founders of Sola.\n\n![uploaded image](/media/?type=post&id=73648&key=user_uploads/1317145/8edcf728-fa9a-4c2d-be38-a425e3a3a809)\n\nConsider a scenario: A manual, repetitive workflow demands that you extract information from a customer ticket, use this to lodge a legal application within their respective state, and then retain and store the resulting confirmation details.\n\nDeveloping engineering solutions for such workflow automation often brings unexpected overhead:\n\n* Engineers must map all error paths before deployment, often necessitating weeks or even months of rigorous testing, with frequent reengineering required as elements evolve — _what happens when the government filing sites crash or change?_\n* Continued investment in monitoring is crucial to maintain a working solution.\n* Increasingly tight security measures in browser and desktop applications make request-based automation increasingly challenging.\n\nConsidering these challenges in our scenario of building out the state-specific application processes, it makes more sense to automate from a _client-side perspective_.\n\nHowever, existing process automation solutions are reliant on integrations, non-generalizable, not self-healing, and often tough to use…\n\n### The Solution 🦾\n\nNow, **imagine going from a screen recording to a process-automating bot in seconds!** Sola RPA can do exactly this, empowering a future where data entry, scraping, and filing tasks are no longer a hassle, but handled efficiently by agents and citizen developers. Structured as a co-pilot tool, Sola bots are seamlessly integrated into the existing workflow, learning new branches and behavior automatically!\n\nWith the above scenario, internal tooling teams are able to now immediately deploy bots for each state-specific filing workflow, where the bot learns automatically from the human stepping in as it runs into errors.\n\nUsing state-of-the-art AI and computer vision, our tooling makes it easy for companies to automate data entry/scraping in legal, financial, and healthcare flows. We’ve built our tool with intuitive usability at its core, allowing users to **visually script** bots in a Figma-esque workflow that can extrapolate to new data (think Excel macros, but generalized)!\n\n![uploaded image](/media/?type=post&id=73648&key=user_uploads/1317145/64327f3b-dab9-4b3f-b7fb-96a9e44e4fcc)\n\nCheck out some of our case studies! For example,\n\n* We help an SMB unicorn [deploy bots for legal incorporation flows](https://www.sola-solutions.com/product/legal-filing) in each state.\n* We help a hedge fund [automate account interactions in desktop financial software](https://www.sola-solutions.com/product/desktop), where there’s no API to interface with, and [schedule scraping of unstructured data](https://www.sola-solutions.com/product/knowledge-extraction) to track expirations of securities.\n* We work with a scaling neobank to [scrape information on legacy financial government portals](https://www.sola-solutions.com/product/scraping-systems) for loan assessments from databases.\n\n![uploaded image](/media/?type=post&id=73648&key=user_uploads/1317145/b3692f9c-19bc-4256-87fd-f7cc0c4b9cab)\n\n### The Team\n\nJess and Neil have been best friends since their freshman year at MIT, and have worked together a ton even before Sola.\n\nNeil has researched CV and LLMs while studying CS at MIT (at the MIT-IBM Watson + Quest for Intelligence Labs) focusing on multimodal RL models, and built out ML at startups in areas including computational biology, fraud detection, healthcare, and agriculture.\n\nJess has studied math and CS at MIT, most recently having spent her time working in finance (at Citadel Securities, Goldentree AM, Thrive Capital, and some other hedge funds), and she’s also worked on startups in med-tech, fashion, and crypto, doing a mix of design work and engineering.\n\nDrawing from their wealth of experience in AI research, engineering, and design, as well as first-hand frustration with repetitive workflows in finance and healthcare, they’re on a mission to tackle the challenge of solving tedious flows in an intuitive way!\n\n### The Ask\n\nWe’d love to help automate your workflows!\n\nIf you’re a company thinking about robotic process automation or manual outsourcing as you scale, reach out to [founders@sola-solutions.com](mailto:founders@sola-solutions.com) and we’d love to chat about working together, as we onboard a limited number of design partners early on! :)",
        "url": "https://www.ycombinator.com/launches/J9s-sola-build-ai-agents-in-copilot",
        "votes": 691,
        "created_at": "2023-08-01T15:57:28.435Z"
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    "id": 29000,
    "name": "SafetyKit",
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        "title": "SafetyKit | SafetyKit Raises $27m to Make AI do Tech's Dirty Work",
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    "long_description": "VectorShift is the AI operating system for private market investors.VectorShift is the AI operating system for private market investors. We capture a firm's institutional knowledge across every deal, decision, and diligence finding, and put it to work across data room analysis, IC memos, portfolio company monitoring, and LP reporting.",
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        "user_id": 1325593,
        "full_name": "Alexander Leonardi",
        "title": "Founder",
        "founder_bio": "CEO at VectorShift. Previously Private Equity Data Science Analyst at Blackstone, where he evaluated private equity transactions, deployed AI/ML solutions for portfolio companies, and helped establish Blackstone's perspectives and capabilities surrounding Generative AI. AB/SM in Statistics & Computer Science from Harvard. Grew the Harvard College Consulting Group >200% YoY to >$1m annual revenue as CEO.",
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        "full_name": "Albert Mao",
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        "url": "https://www.ycombinator.com/companies/vectorshift/jobs/Pg8QCTY-founding-account-executive-financial-services",
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        "title": "Exclusive: VectorShift raises $3M to modularize LLM application development | VentureBeat",
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        "date": "Feb 21, 2024"
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        "id": 84731,
        "title": "VectorShift: No-Code AI Automations Platform",
        "tagline": "Build AI assistants and workflow automations in no-code.",
        "body": "[VectorShift](http://www.vectorshift.ai/) is a no-code AI automations platform. Teams leverage AI through VectorShift’s no-code interface to search through knowledge bases, automate workflows, and deploy AI chatbots and assistants without needing to code or having knowledge about AI. \n\n<https://www.youtube.com/watch?v=t18ySXNDYvs>\n\n**VectorShift Platform**\n\nThrough drag-and-drop components, VectorShift’s no-code builder allows you to: \n\n* Use a flexible “visual programming language” to prototype, build, deploy, and manage LLM apps.\n* Allow AI workflows to leverage a knowledge base with your data (e.g., files, documents, website). Knowledge bases can live-sync with your data wherever it sits (e.g., Google Drive, OneDirve, Notion, etc.).\n* Define triggers that automatically run workflows (e.g., Slack message / Email) and allow workflows to perform actions (e.g., write a notion document).\n* Place interfaces on workflows that you build (e.g., chat, forms, search engine, bulk runs, voice, etc.).\n* Maintain enterprise-grade security - VectorShift is SOC2 Type 2, GDPR, and HIPPA compliant.\n\n \n\n**Enterprise Search Product Launch**\n\nToday, VectorShift launches its unified Enterprise search product. Connect to all your team’s tools (e.g., Google Drive, Notion, Slack) for a single place to securely search/chat with your documents. \n\nWith VectorShift, you can:\n\n1. Choose your preferred LLM model provider or leverage your own.\n2. Live-sync with your data wherever it sits. VectorShift will automatically transform, optimize, and enhance your data based on source and type (e.g., PDFs, tabular data, images, etc.) to significantly improve retrieval accuracy.\n3. Granularly site all answers generated by AI with 1) document source/type, 2) chunks used, and 3) page numbers/sheet names. \n4. Utilize advanced retrieval methods - e.g., re-ranking, hybrid search, advanced data extraction/processing models, metadata filtering, and query optimization. \n5. Leverage enterprise-grade permissioning to deploy the AI search engine directly to your organization.\n\nStep 1: After connecting all your data in a knowledge base, fully customize the interface with your branding. \n\n![uploaded image](/media/?type=post&id=84731&key=user_uploads/1325592/1a4c3232-6a32-49a9-96d9-de20ec7fe607)\n\nStep 2: Securely search and ask questions to all your data in one place.\n\n![uploaded image](/media/?type=post&id=84731&key=user_uploads/1325592/b4524000-2cd5-4b3e-9d70-ad9ea4f2f019)\n\nStep 3: Deep dive into results by chatting with retrieved documents. \n\n![uploaded image](/media/?type=post&id=84731&key=user_uploads/1325592/26f8cf49-4011-44e0-a24c-d731890cd384)\n\n**About Us:**\n\nAlex Leonardi: BA/MS in Statistics & Computer Science from Harvard. Previously, Private Equity Data Science Analyst at Blackstone, where he deployed AI/ML solutions for portfolio companies and helped establish Blackstone's perspectives and capabilities surrounding Generative AI.\n\nAlbert Mao: BA in Statistics at Harvard. Albert worked at McKinsey, where he helped Fortune 500 organizations digitally transform and revamp the GTM motions and products of multiple enterprise software companies. \n\n**The Ask:**\n\n* Try VectorShift: <http://www.vectorshift.ai/>\n* If you are interested in discussing further, book a demo here: <https://calendly.com/albert_mao/vectorshift-intro-chat>. We provide hands-on support in identifying, building, and deploying AI solutions.",
        "url": "https://www.ycombinator.com/launches/M2d-vectorshift-no-code-ai-automations-platform",
        "votes": 18,
        "created_at": "2024-10-16T11:23:50.769Z"
      },
      {
        "id": 80383,
        "title": "VectorShift: No-code generative AI platform",
        "tagline": "Build AI assistants and workflow automations in no-code",
        "body": "[VectorShift](http://www.vectorshift.ai/) is a no-code generative AI platform. Teams leverage AI through VectorShift’s no-code interface to search through knowledge bases, automate workflows, and deploy AI chatbots and assistants without needing to code or having knowledge about AI. \n\n[ ](https://www.youtube.com/watch?v=t18ySXNDYvs)\n\n**VectorShift Platform**\n\nThrough drag-and-drop components, VectorShift’s no-code builder allows you to: \n\n* Use a flexible visual programming language to prototype, build, deploy, and manage LLM apps.\n* Allow AI workflows to leverage a knowledge base with your data (e.g., files, documents, website). Knowledge bases live-sync with data across your tools (e.g., Google Drive, OneDrive, Notion, etc.).\n* Define triggers that automatically run workflows (e.g., Slack message) and allow workflows to perform actions (e.g., write a notion document).\n\nHundreds of companies across healthcare, finance, technology, education, logistics, and professional services already use VectorShift in production. Here are some real-life examples: \n\n* Startups (including multiple YC startups!) use VectorShift to power the “backend” of their **AI product features**.\n* A European conglomerate uses VectorShift to **automate report writing** for clients.\n* A professional services firm for the US government uses VectorShift to **automate RFP proposals** and **search through their contract library** to answer queries.\n* A healthcare education company uses VectorShift to create a **chatbot** to answer patient questions leveraging their extensive knowledge base.\n* A large technology company built an **internal support assistant** to answer questions about employee policies\n\nAnd much more…\n\nOther use cases our customers have in production: document analysis at scale, scraping internet data, content creation, and automatically sending personalized outbound emails.  \n\n**Chat / Assistant Interface Product Launch**\n\nIn building our no-code builder, users requested a way to place interfaces on workflows so they can automate workflows end to end. Today, we are launching VectorShift’s assistant product!\n\nStep 1: After building an AI workflow, place a chat / AI assistant-style interface in your workflow.\n\n![uploaded image](/media/?type=post&id=80383&key=user_uploads/1325592/7dc154c9-2642-41f4-8342-43b5cf74590f)\n\nStep 2: Fully customize the interface with your branding to share chat assistants internally or export to end-users / clients via URL, iFrame, Whatsapp / SMS, API, or as a Slack bot.\n\n![uploaded image](/media/?type=post&id=80383&key=user_uploads/1325592/7c67a1e3-e464-410d-ac95-6c8352cc110d)\n\nStep 3: Manage your production app by viewing collected data and analytics.  \n\n![uploaded image](/media/?type=post&id=80383&key=user_uploads/1325592/73cbd04f-6fc2-4f81-b794-b086a3af5e62)\n\n**About Us:**\n\nAlex Leonardi: BA/MS in Statistics & Computer Science from Harvard. Previously, he was a Private Equity Data Science Analyst at Blackstone, where he deployed AI/ML solutions for portfolio companies and helped establish Blackstone's perspectives and capabilities surrounding Generative AI.\n\nAlbert Mao: BA in Statistics at Harvard. Albert worked at McKinsey where he helped Fortune 500 organizations digitally transform along with revamping the GTM motions and products of multiple enterprise software companies. \n\n**The Ask:**\n\n* Try VectorShift: <http://www.vectorshift.ai/>\n* If you are interested in discussing this further, book a demo here: <https://calendly.com/albert_mao/vectorshift-intro-chat>. We provide hands-on support in identifying, building, and deploying AI solutions.\n\n![uploaded image](/media/?type=post&id=80383&key=user_uploads/1325592/393b980e-d835-4fbc-aee9-1ab57672b0e3)\n\n",
        "url": "https://www.ycombinator.com/launches/KuV-vectorshift-no-code-generative-ai-platform",
        "votes": 18,
        "created_at": "2024-04-24T14:55:24.660Z"
      },
      {
        "id": 77798,
        "title": "VectorShift - The AI Automation Platform",
        "tagline": "Leverage AI in building automated workflows in a no-code interface or through a Python SDK.",
        "body": "[VectorShift](http://www.vectorshift.ai/) is an AI automation platform. Teams leverage AI through VectorShift’s no-code interface or Python SDK to search through knowledge bases, generate documents, and deploy chatbots and assistants. We give all organizations the ability to build enterprise-grade AI applications.\n\n[ ](https://www.youtube.com/watch?v=WWS0uj-ed8U)\n\n# **VectorShift Platform**\n\nThrough drag-and-drop components, our no-code builder allows you to: \n\n* Connect different nodes like LLMs, data loaders, vector databases, and more.\n* Create a knowledge base of your data (e.g., CRM, Notion database, files) or live sync with your data sources to leverage within AI pipelines.\n* Create automations that trigger the running of pipelines (e.g., Slack message / Email) and allow pipelines to perform actions (e.g., write a notion document).\n* Deploy your pipeline through a chat interface with just a few clicks. Share chat assistants internally, or export to end-users via URL, WhatsApp / SMS, or API.\n\n![uploaded image](/media/?type=post&id=77798&key=user_uploads/1325592/3a8a510a-c672-49cb-82a6-4182d368295d)\n\n# **What are real examples of companies using VectorShift in production?**\n\n* A startup uses VectorShift to power the “backend” of their **AI product features**.\n* A European conglomerate uses VectorShift to **automate report writing** for clients.\n* A professional services firm for the US government uses VectorShift to **automate sales proposals** and **search through their contract library** to answer queries.\n* A healthcare education company uses VectorShift to create a **chatbot** to answer patient questions leveraging their extensive knowledge base.\n* A large technology company built an **internal support assistant** to answer questions about employee policies.\n\nAnd much more…\n\nTo name a few: document analysis, scoring resumes, drafting patents and legal documents, and automatically sending personalized outbound emails.  \n\n# **Python SDK Launch**\n\nIn building our initial product line, users requested a way to interface with our platform through code, so we’ve built a Python SDK for working with our various product lines. Now, you can access functionality present in our no-code platform directly through your IDE. Using the SDK, you can:\n\n* Fetch, edit, save, and run your pipelines and chatbots. Run your AI workflows and use your preferred version-control system to work with your VectorShift-managed AI pipelines in code.\n* Load and query your vector stores, and add new indices to index your data.\n* Work with any connected integrations, like Notion, OneDrive, Slack, etc.\n\nAny changes you save through the SDK will automatically update in the no-code platform so you can enjoy complete interoperability between the two interfaces. You can view the documentation for our SDK here: <https://docs.vectorshift.ai/vectorshift/developers/sdk/getting-started>\n\n# **About Us:**\n\n[Alex Leonardi](https://www.linkedin.com/in/alexanderleonardi/): BA/MS in Statistics & Computer Science from Harvard. Previously Private Equity Data Science Analyst at Blackstone, where he deployed AI/ML solutions for portfolio companies and helped establish Blackstone's perspectives and capabilities surrounding Generative AI.\n\n[Albert Mao](https://www.linkedin.com/in/albert-mao-8b263aa2/): BA in Statistics at Harvard. Albert worked at McKinsey where he helped Fortune 500 organizations digitally transform along with revamping the GTM motions and products of multiple enterprise software companies. \n\n![uploaded image](/media/?type=post&id=77798&key=user_uploads/1325592/2f4a1481-ae88-43b8-b699-bc48a0f70ff2)\n\n# **The Ask:**\n\n* Try VectorShift: <http://www.vectorshift.ai/>\n* If you are interested in discussing further, book a demo with us here: <https://calendly.com/albert_mao/vectorshift-intro-chat>. We are always happy to help iterate with you on use cases!",
        "url": "https://www.ycombinator.com/launches/KEo-vectorshift-the-ai-automation-platform",
        "votes": 25,
        "created_at": "2024-01-24T14:40:19.860Z"
      },
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        "id": 73759,
        "title": "VectorShift: No-code LLM workflow builder",
        "tagline": "We let you design, integrate, and deploy internal LLM tools in minutes",
        "body": "[VectorShift](http://www.vectorshift.ai/) is a no-code platform that lets teams quickly create AI workflows. Enterprises use us to build internal tools to generate marketing copy, proposals, and RFP responses. Startup teams use us to automate workflows such as writing personalized emails and deploying chatbots.\n\n[ ](https://www.youtube.com/watch?v=tKhVKJGOqDM&ab_channel=AlbertMao)\n\n**Introduction**\n\nThis is [Alex Leonardi](https://www.linkedin.com/in/alexanderleonardi/) and [Albert Mao](https://www.linkedin.com/in/albert-mao-8b263aa2/) - we studied CS and statistics together at Harvard and previously, we grew a business >200% Y/Y to 7 figures as CEO and CRO. During that time, we realized that our sales reps were spending more than half their time 1) writing proposals, 2) writing personalized outreach emails, and 3) researching prospects. If we could automate these workflows, we would be able to reach more leads and grow faster!\n\nHowever, there was no way to build these custom generative AI workflows at scale, meaning that we had to build all of our tooling from scratch. That's why we built VectorShift - it is what we wished we had when running our previous business.\n\n**VectorShift Platform**\n\nOur platform’s core features include:\n\n* **Pipeline Builder:** Connect different nodes like LLMs, data loaders, vector databases, and more.\n* **File Handling:** Pass files as inputs and save them as outputs while using pipeline nodes to parse their meaning.\n* **Deployment Acceleration:** A marketplace of pre-built workflows, easily customizable for your needs.\n* **Reusable Components:** Use previous pipelines as nodes in new ones, allowing quick reuse of existing functionality.\n* **Chatbot Creation:** Convert any pipeline into a Chatbot with just a few clicks.\n* **API Integration:** Run pipelines and chatbots easily with API calls.\n* **Public Marketplace:** Run pipelines that other users have already refined, and publish your own pipelines for others to use.\n\nOur pipeline builder allows the user to quickly connect different components needed in a generative AI workflow. For example, sales reps use VectorShift to replicate the logic they use to write account proposals and reclaim hours of time every day.\n\n![](https://lh4.googleusercontent.com/9Tn6V3lthGLkz2zdpQWlkiSt2CRQpVJXdB8dNREiJhl81zIsMhGwx7EQhMP3Wy5YqGeW9QE3n0Sn2zzw0jyVsYRVKmUhnkNl6oI37RuxWOBCZYNX7NtJX-hzqrXlAtlHKk9vUD2Laod0fiGa8z5RNXw)\n\nIn addition to providing the building blocks of building any generative AI workflow, we further accelerate the deployment process by offering a marketplace of pre-built workflows. Want a pipeline that generates personalized emails? We already have one built for you to modify to your liking. \n\n![](https://lh5.googleusercontent.com/_TH3ixjhoNzuK5EyaDje9ZHVauXOOvSB4BeUTj2GJq_UIQqjlSG1y7Ang05A5rIxm9y05emBo4IhQHD5pj7QZJfDp2oDsM7qtTGXIgLTlDhLoV806oUMNvUmAqlr9VKD854q2SBiJjMcKisdpRxF62w)\n\n**About Us:**\n\nAlex Leonardi: BA/MS in Statistics & Computer Science from Harvard. Previously Private Equity Data Science Analyst at Blackstone, where he deployed AI/ML solutions for portfolio companies and helped establish Blackstone's perspectives and capabilities surrounding Generative AI.\n\nAlbert Mao: BA in Statistics at Harvard. Albert worked at McKinsey where he helped Fortune 500 organizations digitally transform along with revamping the GTM motions and products of multiple enterprise software companies.\n\n![](https://lh6.googleusercontent.com/f6DnmkT0xpTnl7giTjYMudF1rSwAsHDIkmTow46kXAe3OzltO0z_MFNG0_AMCd1BfgDOOfwR4yXzdhUioBdi5OHV4ii7KCeZpW_okkP_UfgUQ4ikpmAv7pRXJ1TVX8XNuQYsPHBOTVh5IQkei7O7Vro)\n\n**The Ask:**\n\n* Try VectorShift for free: <http://www.vectorshift.ai/>\n* If you are interested in discussing further, book a demo here: <https://calendly.com/albert_mao>. We are happy to help iterate with you on potential use cases!",
        "url": "https://www.ycombinator.com/launches/JBf-vectorshift-no-code-llm-workflow-builder",
        "votes": 157,
        "created_at": "2023-08-03T15:10:51.548Z"
      }
    ]
  },
  {
    "id": 29005,
    "name": "Proof of Human",
    "slug": "proof-of-human",
    "former_names": [
      "Roundtable",
      "Proof of Human, PBC"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2b427f260d9fc4b16ea2dd80662ee50a49dc6fee.png",
    "website": "https://poh.org",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Proof of Human is an API that invisibly detects bots and verifies human identity.\r\n\r\nFounded by Princeton cognitive scientists, Proof of Human leverages world-class research with industry-beating benchmarks so platforms can verify their human users friction-free.",
    "one_liner": "continuous human verification without CAPTCHAs or user friction",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Security",
    "launched_at": 1685540601,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
      "B2B",
      "Security"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/proof-of-human",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/proof-of-human.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/proofofhumanpbc",
    "x_url": "https://twitter.com/proofofhuman",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2b427f260d9fc4b16ea2dd80662ee50a49dc6fee.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [
      "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/169574e7aef0db9f748022d24bc10a1d49217e7c.png"
    ],
    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
    },
    "founders": [
      {
        "user_id": 1368345,
        "full_name": "Mayank Agrawal",
        "title": "Founder",
        "founder_bio": "CEO of Proof of Human, building the invisible Turing Test for the Internet. \n\nBefore Proof of Human, Mayank completed a PhD at Princeton University working at the intersection of cognitive science and artificial intelligence, publishing in high-impact venues including Science, PNAS, and Psychological Review.\n",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/mayank-agrawal-08849aa6",
        "x_url": "https://twitter.com/mayankagrawal",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/24d646069178afa83f6c27d40c9cb418b7af6e74.jpg"
      },
      {
        "user_id": 1202145,
        "full_name": "Matt Hardy",
        "title": "Founder",
        "founder_bio": "Matt is a co-founder of Proof of Human, a company building the invisible Turing Test for the internet. Before Proof of Human, Matt was a PhD student at Princeton University, where he used machine learning and behavioral and experiments to study how people make decisions. Before his PhD, Matt majored in both statistics and economics at the University of Toronto, and worked in data science and econometrics.  ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/mdahardy",
        "x_url": "https://twitter.com/mdahardy",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/86c2f5e7c9fed3a1ec7693920ca05ca8d71dd70d.jpg"
      }
    ],
    "jobs": [
      {
        "id": 76838,
        "title": "Founding Member of Technical Staff",
        "url": "https://www.ycombinator.com/companies/proof-of-human/jobs/ZTZHEbb-founding-member-of-technical-staff",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $150K",
        "equity_range": "1.00% - 3.00%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Amazon Web Services (AWS)",
          "Google Cloud",
          "JavaScript",
          "Node.js",
          "Python"
        ]
      },
      {
        "id": 108716,
        "title": "Founding GTM",
        "url": "https://www.ycombinator.com/companies/proof-of-human/jobs/WOKXDgC-founding-gtm",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$90K - $120K",
        "equity_range": "1.00% - 3.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 117699,
        "title": "Proof of Human, PBC: The invisible Turing Test for the Internet",
        "tagline": "The Proof of Human API continuously distinguishes humans from bots and AI agents.",
        "body": "**The internet is losing the ability to know who is human.**\n\nAI agents can now browse websites, fill out forms, complete tasks, and produce responses that are increasingly difficult to distinguish from those of real people. The systems the internet has historically relied on to separate humans from machines were not built for this world.\n\n## PROOF OF HUMAN\n\nThe Proof of Human API continuously distinguishes humans from bots and AI agents.\\\n\\\nModern AI can produce very human-like outputs. But producing an answer and producing it like a human are different things. Humans hesitate. We make mistakes. We correct ourselves. Our attention changes over time. The way we type, move, and interact leaves rich signatures that remain difficult for AI systems to reproduce. We call the broader research program _the Invisible Turing Test for the Internet_.\n\nProof of Human runs in the background while someone uses a website—no CAPTCHA, no puzzle, no interruption. We combine behavioral, device, and network signals and return a real-time assessment that companies can use to decide whether to trust an account, accept a response, or pay for work.\n\n<https://www.youtube.com/watch?v=swJabsQubf4>\n\n## BENCHMARKS\n\nWe tested scripted bots and AI agents against Proof of Human and other leading detection systems.  \n\n![uploaded image](/media/?type=post&id=117699&key=user_uploads/1202145/ae031489-b618-4c0f-a1e7-a68dfa8cca03)\n\n_On a five-question survey, Proof of Human identified 99% of automated sessions, followed by reCAPTCHA v3 at 69.4%, hCaptcha at 44.3%, Cloudflare Turnstile at 42.1%, and Cloudflare Bot Management at 9.1%._\n\nTraditional automation signals remain effective against scripted browsers, but they are less reliable when AI agents operate through genuine browser environments. Even interactive challenges may offer limited protection when vision-capable agents can interpret and complete them. As browser-level indicators become easier to avoid, the way a user behaves throughout a session becomes increasingly important for distinguishing human activity from automation.\n\n## OUR CUSTOMERS\n\n**Today, Proof of Human acts as the trust layer behind online human research.** Stanford Psychology uses it to verify that participants in online studies are real. GrowProgress uses it as part of its quality-control stack for polling and public-opinion research. Market insights firms including Obsurvant use it to identify AI agents and other fraudulent respondents before they enter client datasets.\\\n\\\nThe common problem is the same: a response itself is no longer enough. An AI agent can give a coherent answer, pass an attention check, and look perfectly legitimate in the final dataset. Proof of Human looks at the process that produced it—how someone types, clicks, scrolls, moves through a page, and interacts with their device—continuously and without interrupting the user.\\\n\\\nProduction traffic also teaches us what to look for next. Customer deployments have uncovered new patterns of automation, from unnatural typing to partial AI copy-pasting, that are difficult or impossible to identify from the final answer alone. Those behaviors become new detectors, which are then tested across human, bot, and agent traffic before being deployed back into the network. The result is a system that improves as the adversary changes.\n\n![uploaded image](/media/?type=post&id=117699&key=user_uploads/1202145/0f53b0f4-ec5e-4837-acec-549a275ac727)\n\n_Proof of Human at Stanford Psychology. We first encountered this problem as researchers ourselves; today, research groups use Proof of Human to verify that the people behind online studies are actually people._\n\n## THE FUTURE\n\nWe started with online research because the problem was acute and measurable: organizations were paying for human judgment without reliably knowing whether a human had produced it.\n\nBut the same problem is rapidly appearing across applications, marketplaces, transactions, social platforms, and digital work. The internet needs a way to know when a human is actually on the other side—continuously, invisibly, and without another CAPTCHA.\n\nWelcome to the Proof of Human era.\n\nMatt &amp; Mayank",
        "url": "https://www.ycombinator.com/launches/UcN-proof-of-human-pbc-the-invisible-turing-test-for-the-internet",
        "votes": 13,
        "created_at": "2026-10-14T14:43:03.903Z"
      }
    ]
  },
  {
    "id": 29008,
    "name": "Andromeda Surgical",
    "slug": "andromeda-surgical",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ad29152e507992c17de56b3d0a62d1fd6769fd3b.png",
    "website": "http://www.andromedasurgical.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We're building autonomous robots to make surgery safe, easier and more efficient. Robots currently perform about 1/4 of surgeries but only help with the physical aspects. We use AI to make surgery cognitively easier. This has far greater potential to improve outcomes and reduce costs. Founded by 3x founders from medtech and autonomous vehicles, we're on track to be the fastest surgical robot to market of all time. First indication is prostate enucleation.",
    "one_liner": "Autonomous surgical robots",
    "team_size": 12,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Medical Devices",
    "launched_at": 1684515035,
    "tags": [
      "Hard Tech",
      "Machine Learning",
      "Medical Robotics",
      "Medical Devices",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
      "Healthcare",
      "Medical Devices"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/andromeda-surgical",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/andromeda-surgical.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "http://linkedin.com/company/andromeda-surgical",
    "x_url": "https://twitter.com/andromedasurg",
    "fb_url": "http://facebook.com/andromedasurgical",
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ad29152e507992c17de56b3d0a62d1fd6769fd3b.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Garry Tan",
      "url": "https://www.ycombinator.com/people/garry-tan"
    },
    "founders": [
      {
        "user_id": 4171,
        "full_name": "Nick Damiano",
        "title": "Founder",
        "founder_bio": "First YC medtech founder and only 2x YC medtech founder; \nCo-founder & CEO @ Andromeda Surgical S23;\nFounder & CEO @ Zenflow W15 - treated > 300 patients so far, Class 3 FDA approval, raised > $100M;\nCo-founder & CTO @ Avail MedSystems (f.k.a. Nurep, acq. by Mendaera) - launched in 1000 hospitals, raised $120M;\nVenture Partner @ Pioneer Fund;\nStanford Biodesign Innovation Fellow & Stanford MS/BS;\nGeneralist/SW engineer;\nDad to two daughters;\nSemicolon enthusiast;",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/nickdamiano",
        "x_url": "https://x.com/nickdamian0",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d66722f33e37245caa7dd8f7da2e5ab43158e9a5.jpg"
      },
      {
        "user_id": 37368,
        "full_name": "Kartik Tiwari",
        "title": "Founder",
        "founder_bio": "Background in robotics\n3x technical founder, 2x YC founder\nLed the team at Starsky Robotics to become the first in the world to have a driverless truck on a public road",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/profile/public-profile-settings?trk=prof-edit-edit-public_profile",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a6e5d0daa20f47f66ea411a42df32eb0df8fac6a.jpg"
      }
    ],
    "jobs": [
      {
        "id": 62175,
        "title": "Robotics Controls Engineer",
        "url": "https://www.ycombinator.com/companies/andromeda-surgical/jobs/EiC4MLO-robotics-controls-engineer",
        "location": "South San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Robotics",
        "salary_range": "$150K - $250K",
        "equity_range": "0.10% - 0.50%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": [
          "C++",
          "Python"
        ]
      },
      {
        "id": 66541,
        "title": "Senior Software engineer",
        "url": "https://www.ycombinator.com/companies/andromeda-surgical/jobs/0NF6Ie3-senior-software-engineer",
        "location": "South San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$150K - $250K",
        "equity_range": "0.10% - 0.50%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 80395,
        "title": "UX Designer",
        "url": "https://www.ycombinator.com/companies/andromeda-surgical/jobs/dTs6gll-ux-designer",
        "location": "South San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Robotics",
        "salary_range": "$150K - $250K",
        "equity_range": "0.10% - 0.50%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 83839,
        "title": "Lead Hardware Engineer",
        "url": "https://www.ycombinator.com/companies/andromeda-surgical/jobs/93sD4oD-lead-hardware-engineer",
        "location": "South San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Robotics",
        "salary_range": "$140K - $200K",
        "equity_range": "0.10% - 0.50%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": [
          "Arduino",
          "Python",
          "Linux",
          "CAD Design"
        ]
      },
      {
        "id": 108088,
        "title": "Machine Learning Engineer",
        "url": "https://www.ycombinator.com/companies/andromeda-surgical/jobs/l9lWEvX-machine-learning-engineer",
        "location": "South San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$150K - $250K",
        "equity_range": "0.10% - 0.50%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": [
          "Python",
          "Torch/PyTorch",
          "Machine Learning",
          "Data Modeling"
        ]
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 74646,
        "title": "Andromeda Surgical: Autonomous surgical robots 🦾🏥",
        "tagline": "Autonomous robots that use AI to elevate every surgeon to world expert level and deliver consistently great patient outcomes",
        "body": "tl;dr: We’re [Andromeda Surgical](https://andromedasurgical.com/) and we’re building autonomous surgical robots. We’re a team of two 3x founders and 2x YC founders from medtech and autonomous vehicles. Our AI-assisted robots will empower every surgeon to operate at world expert level for every procedure, every time, with minimal training. We’re starting with a proven urologic procedure that can treat over half a million patients per year in the US alone.\n\n \n\n**About Us**\n\nHi everyone, we’re Nick and Kartik, the co-founders of Andromeda Surgical. Nick has founded medtech companies collectively worth over $1 billion whose products are used in over 1,000 medical facilities. Kartik led the team that built and launched the world’s first autonomous truck to operate driverless on US highways. We were both YC alums before this batch, Nick with Zenflow (W15) and Kartik with Starsky Robotics (S16). We met through [YC Co-Founder Matching](https://www.ycombinator.com/cofounder-matching) and realized we could apply the same principles underlying self-driving vehicles to fundamentally change how surgery is performed.\n\n![uploaded image](/media/?type=post&id=74646&key=user_uploads/4171/baf84b2c-4724-43aa-b88d-fc1980e4a389)\n\n\n**Problem**\n\nHuman mental and physical capabilities limit surgical outcomes. Existing surgical robotics companies focus almost exclusively on solving the physical challenges, making surgical movements more ergonomic and precise. These improvements alone have revolutionized surgery and spawned a large and fast-growing industry, led by [Intuitive Surgical](https://www.intuitive.com/en-us) ($108 billion market cap). Surgeons love to use these products and patients eagerly sign up for robotic procedures.\n\nDespite the proliferation of robotics in surgery, the clinical need to reduce complication rates remains largely unmet. Almost one third of patients undergoing surgery experience complications, and 8% experience major complications \\[1\\]. Many surgeons have told us they blame themselves for sub-optimal outcomes, and this adds significant stress to their lives. As AI becomes more powerful, it offers tremendous potential to improve surgical decision making and reduce complication rates.\n\n**Our Solution**\n\nAndromeda uses AI to augment surgeons’ mental and cognitive faculties. We’re starting with a common prostate procedure that can treat over half a million patients per year and has better outcomes than all alternatives. Its steep learning curve limits the number of urologists who can perform it. The procedure is algorithmically simple, but it’s hard for urologists to know exactly where they are and what they’re seeing, resulting in mistakes and delays. We’ve designed a GPS-like location system to help surgeons accurately orient themselves and perform the best possible action in every moment.\n\n![uploaded image](/media/?type=post&id=74646&key=user_uploads/4171/e37dbeac-932f-42bc-b896-954c0c4c0fcb)\n\nAfter launching, we’ll expand into other urologic procedures and then beyond. Whereas most surgical robots focus on multi-port laparoscopic procedures, we’re starting with natural orifice procedures that tend to be less mechanically complex. We’re a hardware-lite company and built our simple yet versatile robot in just three months. The main value we’ll provide is in our software. Our long-term vision is to enhance all surgeons’ abilities with AI, empowering them to perform a broad range of procedures at expert level and deliver consistently optimal outcomes to patients.\n\n**Asks**\n\n·      We’re hiring robotics and HRI/industrial design engineers\n\n·      We’re looking to meet urologists who can partner with us on data collection and future clinical trials\n\nPlease reach out at [info@andromedasurgical.com](mailto:info@andromedasurgical.com) if you’re interested to help us build the future of surgery.\n\n\\[1\\] <https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9714582/>",
        "url": "https://www.ycombinator.com/launches/JPy-andromeda-surgical-autonomous-surgical-robots",
        "votes": 46,
        "created_at": "2023-09-06T13:49:39.308Z"
      }
    ]
  },
  {
    "id": 29010,
    "name": "Silimate",
    "slug": "silimate",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/61f4bbb4f45487fb9514316eae7b6e1b1c316a4a.png",
    "website": "https://www.silimate.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We're building AI-native tools & agent-driven workflows for frontend chip design. \r\n\r\nToday, Fortune enterprises and chip unicorns license Silimate to hit their PPA targets and functional closure in days instead of months. With Silimate, chip companies tape out better, more market-competitive chips much more quickly.",
    "one_liner": "Fast, efficient agents for chip design and debug",
    "team_size": 8,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1691095117,
    "tags": [
      "Developer Tools",
      "B2B",
      "Enterprise Software",
      "Semiconductors",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2023",
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        "full_name": "Ann Wu",
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        "url": "https://semiengineering.com/preparing-for-ai-driven-chip-design-and-verification/",
        "date": "Jul 27, 2026"
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        "title": "AI In Chip Design: Lots Of Promise, Plenty Of Unanswered Questions",
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        "date": "Jul 15, 2026"
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        "title": "👾 Silimate - Copilot for chip designers",
        "tagline": "Design the right semiconductors chips in less time",
        "body": "**TL;DR: Silimate helps chip teams converge to functional correctness and optimized PPA faster, so that they can build better chips in less time.**\n\n# \n\n# **❌ The Problem**\n\nThe world needs specialized semiconductor chips to be built faster for the rapidly-evolving software workloads in datacenters and at the edge.\n\nYet, chip teams today face time- and effort-intensive bottlenecks in converging to functional correctness and optimized PPA (power/performance/area). These bottlenecks account for most of the typical 12-18 month chip development cycle, and impede chip teams’ ability to make important changes to their designs in late project stages — when real, data-driven issues tend to surface from simulations.\n\n# \n\n# **✨ Our Solution**\n\nSilimate finds functional bugs, predicts PPA issues, and recommends real fixes in real-time alongside RTL development. Chip designers get a context-aware RTL companion that helps them write correct, PPA-optimized RTL from the onset, and build better chips in less time.\n\n**We’re live with chip design teams today.**\n\nIf you’re a chip designer or lead a chip design team, we can help you eliminate weeks/months from your design cycles. Reach out to us to schedule a live demo!\n\n# \n\n# **🌎 Why Now**\n\nDeath of Moore’s Law, an explosion of custom chip architectures, geopolitics, talent shortage, massive demand for AI chips, and increasing complexities in advanced chip design – we’re building the critical pickaxe for the AI and edge [silicon renaissance](https://www.forbes.com/sites/robtoews/2020/05/10/artificial-intelligence-is-driving-a-silicon-renaissance/?sh=3566b040553c).\n\n# \n\n# **👋 Contact us at [hello@silimate.com](mailto:hello@silimate.com) to learn more!**\n\n* If you’re a chip designer or lead a chip design team, email us – we’ll help speed up your RTL development cycles.\n* If you’re not a chip designer but know one (or a few), send them our way!",
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        "full_name": "William Zeng",
        "title": "Founder",
        "founder_bio": "Youngest senior MLE at Roblox. Cumulative 10% CTR lift on games search.\nStats/ML at CMU.\n\nBuilding Sweep, a Cursor alternative for JetBrains.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/william-zeng",
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        "full_name": "Kevin Lu",
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        "founder_bio": "Previously: top of class at UWaterloo CS, built the first ML-based skin weight generation model for UGC avatars at Roblox, and NLP researcher on common sense reasoning (in the Bart/T5 era). Now building an AI-powered junior dev and interested in code gen and automated code gen orchestration.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/kevinlu1248",
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        "title": "ML Research Engineer (Full-time / Internship)",
        "url": "https://www.ycombinator.com/companies/sweep/jobs/8dUn406-ml-research-engineer-full-time-internship",
        "location": "San Francisco, CA, US",
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        "role": "Engineering",
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        "salary_range": "$180K - $300K",
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        "title": "Sweep aims to automate basic dev tasks using large language models | TechCrunch",
        "url": "https://techcrunch.com/2023/11/02/sweep-aims-to-automate-basic-dev-tasks-using-large-language-models/",
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        "id": 95289,
        "title": "🧹 Sweep: Cursor Tab for JetBrains IDEs",
        "tagline": "Meet Sweep, the smartest autocomplete for IntelliJ, PyCharm, and Android Studio",
        "body": "Hi everyone! We’re [Kevin](https://x.com/kevinlu1248) and [William](https://www.linkedin.com/in/william-zeng/), and we’re building a better AI autocomplete for JetBrains.\n\n**TLDR;** [Sweep](https://sweep.dev/) is a free autocomplete plugin for IntelliJ / PyCharm that is smarter than Cursor Tab.\n\n![uploaded image](/media/?type=post&id=95289&key=user_uploads/1214046/931362f2-24b9-4d5b-aa4b-778cd98aacbc)\n\n# The Problem\n\nDevelopers writing production-grade code need tools like autocomplete that keep them in the loop rather than agents that take them out of it.\\\n\\\nJetBrains users don’t have an AI autocomplete that works well. The leading plugins are not products that users love:\n\n![uploaded image](/media/?type=post&id=95289&key=user_uploads/1214046/f78574aa-2dfe-4d58-82a5-a284b8ca1147)\n\n![uploaded image](/media/?type=post&id=95289&key=user_uploads/1214046/72d4698c-42be-404b-9d1b-9b6d9869d201)\n\n# Our Solution: Sweep 🧹\n\nWe’re building tools for professional developers using JetBrains, starting with super fast autocomplete that’s smarter than Cursor Tab.\\\n\\\nWe’ve fine-tuned our own LLM with a custom inference stack that suggests completions with sub-100ms latency. Unlike Cursor, we use the JetBrains code index to let our autocomplete model navigate your code like a real developer.\n\nWe’ve heard great feedback so far:\n\n_“AI is finally useful inside JetBrains — thanks to sweep. **A million times better than JetBrains’ own tools.**” -_ Christiaan Bilthof, CTO @ Leat\n\n_“Compared to every other tool and IDE I've used, **it's incredibly fast** - so much so that the next tab predictions and autocomplete feel instantaneous.” -_ Ashkan Aghdai, Staff Engineer @ Amplitude\\\n\\\n_“I used to have to choose between using PyCharm and good autocomplete - but with Sweep, I get both. **It’s a massive productivity boost.**”_ **-** Josiah Parappally, Staff Engineer @ Ramp\n\n## Why we built Sweep\n\nWe originally started Sweep in 2023 to build an AI junior developer, which hit 7.6k stars on GitHub.\n\nWe soon realized that this was many years out. Instead, we decided to build a coding assistant that developers could use today. Kevin and I have been JetBrains users since we were in college, and we were surprised something like this didn’t exist yet.\n\nWe built Sweep for ourselves, and use Sweep Tab hundreds of times a day to write production-grade code instead of vibe coding. It’s boosted our productivity by 2x and we hope you like it too. \\\n\\\nTry Sweep for free here: https://plugins.jetbrains.com/plugin/26860-sweep-ai-autocomplete--coding-agent",
        "url": "https://www.ycombinator.com/launches/Omv-sweep-cursor-tab-for-jetbrains-ides",
        "votes": 12,
        "created_at": "2025-11-07T17:26:45.064Z"
      },
      {
        "id": 88553,
        "title": "Sweep: JetBrains AI Coding Assistant",
        "tagline": "We built a self-hostable AI coding assistant for JetBrains IDEs",
        "body": "Hey everyone, we’re [William](https://www.linkedin.com/in/william-zeng/) and [Kevin](https://www.linkedin.com/in/kevinlu1248/) - cofounders of Sweep 🧹\n\n\\\n**TLDR**: JetBrains developers have to choose between **the latest AI features** **and the** **IDE that they love**. Sweep is an AI coding assistant purpose-built for JetBrains that **gives you both**.\n\nAsk: Is your team using JetBrains? Reach out at [william@sweep.dev](mailto:william@sweep.dev) or [book a demo here](https://calendly.com/william-sweep/introductory-call?month=2025-03).\n\n# Problem\n\nCurrent AI coding assistants have poor support for JetBrains. GitHub Copilot in JetBrains is a far cry from VSCode, and other plugins aren’t much better.\\\n\\\nWe’ve heard:\n\n_“I love the features in JetBrains as an IDE but the AI sucks”_\n\n_“I see all of these AI coding assistants on VSCode, and I check if they support JetBrains, and I always get disappointed when they don’t.”_\n\nEngineers who don’t use AI coding assistants are less productive. But engineers who have to switch away from their IDEs are even less productive.\n\n# Solution\n\nSweep makes it easy to use AI in JetBrains with our self-hostable plugin. **Engineers keep their existing code editor with no data leakage and the** **best AI features**.\\\n\\\nWe make it seamless to give the AI context. Sweep automatically sees the current file and codebase, saving you precious clicks.\n\n![uploaded image](/media/?type=post&id=88553&key=user_uploads/1214046/6211a915-8ad9-480b-8aa9-7389f4e99fbb)\n\nBy clicking “apply” you can seamlessly review and integrate Sweep’s code changes.\n\n![uploaded image](/media/?type=post&id=88553&key=user_uploads/1214046/a4ff0a2c-7b7a-48dc-9507-9785c19e0020)\n\nFinally, we can **deploy everything on-prem**, unlike other AI coding assistants that take your code and data.\n\n# Our Ask 🙏\n\n**Sweep is available on the JetBrains marketplace today.** Try us out here: [docs.sweep.dev](http://docs.sweep.dev).\\\nTo learn more about our on-prem deployments you can [book a call here](https://calendly.com/william-sweep/introductory-call?month=2025-03).\n\n# About Us\n\nWilliam (CEO) was promoted to a Senior ML Engineer at Roblox in 1.5 years. Kevin (CTO) was the top student in his class at U Waterloo for Math and CS. Martin (Founding Team) was working as a Senior Engineer before he graduated college.\n\nWe’re all big IntelliJ and PyCharm users, and we previously built an AI coding agent with >7k github stars.\n\n![uploaded image](/media/?type=post&id=88553&key=user_uploads/1214046/e0e011e5-25b6-4c72-9ecd-bd9262ee905a)\n\n![uploaded image](/media/?type=post&id=88553&key=user_uploads/1214046/85da6a03-4c5b-4961-9bd2-656ba38c4dbc)\n\n",
        "url": "https://www.ycombinator.com/launches/N2H-sweep-jetbrains-ai-coding-assistant",
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        "user_id": 1379612,
        "full_name": "Rob Haber",
        "title": "Founder",
        "founder_bio": "Co-founder and CEO of Sendblue. Former ML Engineer at Scale AI, and before that worked at Amazon, Regeneron and his own beef jerky company.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/rob-haber",
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      {
        "user_id": 1382168,
        "full_name": "Alex Luis",
        "title": "Founder",
        "founder_bio": "Alex, a former sumo wrestler born in Tokyo, was a PM and consultant at PwC's telecom practice. There, he worked with emerging technologies like 5G, NFTs, and IoT. He's now a Co-founder @ sendblue and lives in NYC.\n",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/alex-luis",
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        "id": 75496,
        "title": "Account Executive",
        "url": "https://www.ycombinator.com/companies/sendblue/jobs/ecQWurX-account-executive",
        "location": "New York, NY, US / Remote (US)",
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        "id": 88475,
        "title": "Director of Marketing",
        "url": "https://www.ycombinator.com/companies/sendblue/jobs/4VOCVKv-director-of-marketing",
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        "role_type": "Backend",
        "salary_range": "$160K - $210K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Amazon Web Services (AWS)",
          "Express",
          "Node.js",
          "React",
          "Next.js"
        ]
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 74000,
        "title": "Raz: Next-generation AI forms",
        "tagline": "Collect deeper insights with forms that users can fill out by having a conversation",
        "body": "**TL;DR**\n\nBusinesses use Raz to build interactive and personalized forms. Our AI-powered follow-up questions and semantic analysis provide businesses with actionable insights for constant improvement.\n\n💪 **Our Team**\n\nHi everyone! We are Rob and Alex, the co-founders of Raz.  \n\n![uploaded image](/media/?type=post&id=74000&key=user_uploads/1379612/47331463-94a6-45c8-9eb1-d6540b8d9207)\n\nWe met on our high school tennis team 10 years ago and have remained friends ever since. \n\nRob got his MS in AI at Carnegie Mellon after working at Regeneron, Amazon, and his own beef jerky company. His last role was as a Machine Learning Engineer at Scale AI, where he trained LLMs for their enterprise customers. \n\nAlex, a former sumo wrestler born in Tokyo, was a consultant on PwC's Customer Service and Advocacy team. There, he worked with emerging technologies like 5G and later went on to become the youngest PM at the firm.\n\n**❌ The Problem**\n\nWhile at PwC, Alex saw firsthand how businesses were losing customers due to a lack of understanding of the user experience. Many companies would attempt to learn from users by sending them a **generic form**, often failing to receive actionable insights. Since forms are static, they lack the ability to probe deep into user experiences, leading to shallow responses that often leave companies with more questions than answers.\n\n**✅ Our Solution**\n\nBy enabling forms to **leverage context** when asking questions, Raz makes them more engaging and personalized, helping to get answers to the burning questions businesses have. When a user answers with an ambiguous response, Raz will rephrase the question or delve into an aspect of their response.\n\n![uploaded image](/media/?type=post&id=74000&key=user_uploads/1379612/255ef80e-84df-433c-b441-cde8d6a084f2)\n\nForms are used extensively across business operations – from feedback surveys to hiring applications to lead qualification – creating an opportunity for companies to significantly enrich data collection using Raz.\n\nSince Raz can chat with users, it can be deployed over SMS and voice calls – prime channels due to their high engagement. We make this process as simple as **one click**. Rather than sending an SMS with a link to a survey, we offer a native SMS experience that feels like chatting with a company representative.\n\nBelow is an example of an SMS hiring form for a food delivery courier created with Raz. For open-ended questions, companies can enable AI to dig deeper into applicants' answers. Raz can even simulate the conversation to show how it could progress.\n\n![uploaded image](/media/?type=post&id=74000&key=user_uploads/1379612/3e091767-6e9a-425f-a811-bcb25a9db738)\n\nAfter users complete the forms, Raz provides businesses with the responses, in addition to an analysis that highlights important themes and relevant insights.\n\n🙌 **Our Asks**\n\n* Share with anyone looking to unlock richer insights from users or anyone using forms in their product as a means to collect data\n* Book time with us [here](https://calendly.com/robhaber/raz?month=2023-08&date=2023-08-08) or reach out to [founders@tryraz.com](mailto:founders@tryraz.com) to learn more about Raz\n* Check out our website at [tryraz.com](http://tryraz.com) \n* Follow us on [LinkedIn](https://www.linkedin.com/company/91126064/admin/feed/posts/)",
        "url": "https://www.ycombinator.com/launches/JFY-raz-next-generation-ai-forms",
        "votes": 146,
        "created_at": "2023-08-10T17:00:22.097Z"
      }
    ]
  },
  {
    "id": 29026,
    "name": "SyntheticFi",
    "slug": "syntheticfi",
    "former_names": [
      "Cyclone",
      "devmark"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/21cd7289472fa982f68b9ab59329eb2acf583e66.png",
    "website": "https://www.syntheticfi.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "SyntheticFi is the cheapest way to borrow money. We partner with independent financial advisors (RIAs) to meet the liquidity needs of their clients.",
    "one_liner": "The cheapest way to borrow money",
    "team_size": 25,
    "industry": "Fintech",
    "subindustry": "Fintech",
    "launched_at": 1688426619,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
      "Fintech"
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    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/syntheticfi",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/syntheticfi.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/syntheticfi/",
    "x_url": "https://x.com/SyntheticFi_SF",
    "fb_url": "https://www.facebook.com/syntheticfi/",
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/21cd7289472fa982f68b9ab59329eb2acf583e66.png",
    "app_video_url": null,
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    "company_photos": [],
    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
    },
    "founders": [
      {
        "user_id": 1351685,
        "full_name": "Tony Yang",
        "title": "Founder",
        "founder_bio": "CEO and co-founder of SyntheticFi: cheapest way to borrow money.\n\nPrior to starting SyntheticFi, Tony was a senior software engineer at Stripe. During his time at Stripe, Tony used the box spread strategy to purchase his house. That became the inspiration for Tony to start SyntheticFi and democratize its access. Tony graduated as a double major in CS and Philosophy from UC Berkeley.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/yucheng-tony-yang",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5ffdeb308d341b25bce009ae14367eab8f830f7b.jpg"
      }
    ],
    "jobs": [
      {
        "id": 96169,
        "title": "Operations Associate",
        "url": "https://www.ycombinator.com/companies/syntheticfi/jobs/l1nEpDf-operations-associate",
        "location": "US / Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$65K - $85K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "SyntheticFi Raises $13M and Exceeds $2B in Regulatory AUM",
        "url": "https://www.businesswire.com/news/home/20260609454833/en/SyntheticFi-Raises-%2413M-and-Exceeds-%242B-in-Regulatory-AUM",
        "date": "Jun 08, 2026"
      },
      {
        "title": "Inside a tax-smart borrowing tool for risk-tolerant clients | Financial Planning",
        "url": "https://www.financial-planning.com/news/inside-a-tax-smart-borrowing-tool-for-risk-tolerant-clients",
        "date": "Feb 17, 2026"
      },
      {
        "title": "Box Spreads As A Borrowing Alternative To Margin Loan, SBLOC",
        "url": "https://www.kitces.com/blog/box-spreads-borrowing-alternative-margin-loans-sblocs-heloc/",
        "date": "Feb 11, 2026"
      },
      {
        "title": "Affluent Investors Are Using Options Math To Borrow On The Cheap",
        "url": "https://www.fa-mag.com/news/how-affluent-investors-are-using-options-math-to-borrow-on-the-cheap-85216.html",
        "date": "Dec 15, 2025"
      },
      {
        "title": "Wall Street Options Trick Becomes New Fintech Lending Hack - Bloomberg",
        "url": "https://www.bloomberg.com/news/articles/2025-10-29/wall-street-options-trick-becomes-new-fintech-lending-hack",
        "date": "Oct 29, 2025"
      }
    ],
    "launches": [
      {
        "id": 92223,
        "title": "SyntheticFi Hybrid Mortgage 🏠 - 4.64% APR with extra tax deductions",
        "tagline": "Get 2% lower interest rate compared to big banks. Save extra on taxes with uncapped interest deductions.",
        "body": "We’re [Tony](https://www.linkedin.com/in/yucheng-tony-yang) and [Joseph](https://www.linkedin.com/in/joseph-yezhou-wang/), co-founders of SyntheticFi.\n\nAfter partnering with over 150 financial advisors and helping hundreds of families, today we’re launching our **Hybrid Mortgage** product: **combine a mortgage and your investment portfolio** **to lower the borrowing cost to 4.64%.**\n\n# TLDR - You can borrow money at 4.64% APR, with uncapped tax write-off on interest.\n\nIf the following is true for you, we can help you save money. [Let’s chat](https://form.typeform.com/to/CSvxlN7B) if:\n\n* you have an investment portfolio, and,\n* your current **pre-approval letter** or **mortgage** has an interest rate higher than 4.7%.\n\n**If you know financial advisors (RIAs), mortgage brokers, and realtors**, [we would love to tell them](https://form.typeform.com/to/CSvxlN7B) about our partnership program.\n\n# \n\n![uploaded image](/media/?type=post&id=92223&key=user_uploads/1351685/04b9a84d-2f91-4ce9-837b-515a39f49f9e)\n\n# 🏡 How does a Hybrid Mortgage save money for you?\n\nUnlike a traditional mortgage, SyntheticFi Hybrid Mortgage **uses both your investment portfolio and your real estate property as collateral**. Because your investment portfolio is a lot more liquid than your real estate property, you are able to get a better interest rate.\n\nYou can think of it as a “hybrid” of two loans:\n\n* a securities-backed loan\n* a traditional mortgage\n\nThere are 3 benefits to introducing the securities-backed loan portion:\n\n**_Benefit 1: Interest rate is much lower than a traditional mortgage._**\n\nWe offer different fixed rate options. A popular term is **4.64% APR** fixed for 5 years. If you are borrowing $500,000, reducing the interest rate by 2% is equal to saving $10,000 per year.\n\n**_Benefit 2: Don’t have to sell stocks for down payments - saving on taxes, participate on future growth._**\n\nThe securities-backed loan portion can be used to meet the down payment requirement of the traditional mortgage. **Many of our users are able to buy homes with $0 cash down payments.** This allows them to keep their investments in the stock market to grow over time, while avoiding the capital gains taxes associated with asset sales.\n\n**_Benefit 3: Write off interest expense_**\n\n**You can write off interest on the securities-backed loan with no cap and no need to itemize deductions**. By contrast, interest deduction on a traditional mortgage is limited to interest from $750K in principal and requires itemized deduction. If you are getting a mortgage over $750K, you’d be leaving money on the table, because you didn’t maximize your tax deductions.\n\n# ⁉️ But it sounds too good to be true?\n\nYou are right to be cautious. Here is why you should trust SyntheticFi.\n\n**_Hybrid mortgage has been gate-kept by the ultra-rich._**\n\nBanks have long offered similar programs to the ultra-high net worth individuals (&gt;30MM) via personal bankers. We are democratizing access to this product.\n\n**_We’ve done this, hundreds of times._**\n\nHundreds of families have used SyntheticFi Hybrid Mortgage to buy their homes. CBOE, the largest options exchange in the word, features our co-founder Joseph’s [in-depth article](https://www.cboe.com/insights/posts/long-dated-box-spreads-a-better-way-to-buy-a-home-updated/) explaining how our product works.\n\nAdditionally, we partner with over 150 professional financial advisors all over the US. [OUI Financial](https://ouifinancial.com/en/financing) is one of them: they have featured SyntheticFi on their website because they have had so much success with us.\n\n**_We’re regulated by the SEC._**\n\nSyntheticFi is regulated by the SEC as a registered investment advisor (RIA). We are a fiduciary, and you do not have to move your assets anywhere.\n\n# ➡️ Interested in learning more?\n\n[Let’s chat](https://form.typeform.com/to/CSvxlN7B) if:\n\n* you have an investment portfolio, and,\n* your current **pre-approval letter** or **mortgage** has an interest rate higher than 4.7%.\n\nIf you know financial advisors (RIAs), mortgage brokers, and realtors, [we would love to tell them](https://form.typeform.com/to/CSvxlN7B) about our partnership program.",
        "url": "https://www.ycombinator.com/launches/NzT-syntheticfi-hybrid-mortgage-4-64-apr-with-extra-tax-deductions",
        "votes": 148,
        "created_at": "2025-07-16T20:42:50.293Z"
      },
      {
        "id": 81967,
        "title": "🔷 SyntheticFi: Cheapest way to get liquidity from your stock investments",
        "tagline": "Cheapest securities-backed line of credit (SBLOC), right on your existing brokerage platform.",
        "body": "# TLDR\n\nSyntheticFi helps you borrow at 5.83% APR using your investments as collateral without switching to another brokerage. You can save $30K+ per year borrowing $500K on Charles Schwab while staying with Schwab.\n\n🌟[Start here](https://app.syntheticfi.com/) or [talk to us](https://calendly.com/tonyyanga/meet-with-tony-syntheticfi) to start saving money. No credit checks involved. 🌟\n\n![uploaded image](/media/?type=post&id=81967&key=user_uploads/1351685/500c3c23-5b0f-408a-976c-baa5a18e4b42)\n\n# ❓Why Borrow Against Your Investments: Continued Investment Growth + No Capital Gains Tax!\n\nMany use margin loans or a securities-backed line of credit (SBLOC) to **get liquidity** from their investments **without selling and incurring capital gains tax**.\n\nFor example:\n\n* You work at big tech: you have concentration stock positions that appreciated greatly. You can now use SBLOC to fund a downpayment on a house without paying 20% on capital gains tax or impacting DTI\n* You are an angel investor: you can now chase the extra returns from investing in startups and not miss out on the 9% historical returns of the S&P 500.\n\nEven Elon Musk planned to take out a $12.5B loan against his Tesla shares to acquire Twitter/X!\n\nAdditionally, securities-backed loans have **no impact on your credit report.**\n\n* No credit checks; don’t show up on credit reports; no impact on DTI (debt-to-income) calculations\n\n![uploaded image](/media/?type=post&id=81967&key=user_uploads/1351685/03e81b3c-6601-4ca7-86a5-034813087729)\n\n# ❌ Problem: Expensive, and Hard to Switch to Cheaper Providers\n\nGetting a competitive interest rate to borrow against your investments requires upending your financial life. You are forced to choose between two bad options:\n\n* either **overpay thousands** in interest per year;\n* or take on the **hassle of switching** to a cheaper broker.\n\nA real-life example: Tony **🙋‍♂️,** ex-Stripe, has personally tried to borrow against his investments to pay the downpayment on his first house.\n\n* **Tony had to overpay $13K+ a year!** Fidelity’s website quoted Tony 11.83%. He tried to negotiate. It took Fidelity 2 weeks to get back quoting 10%; even the mortgage was only at 7.5% at the time.\n* **Tony also hated switching to a low-cost broker.** When searching for cheaper rates, Tony found Interactive Brokers (IBKR) offer \\~6.3%. However, he would have to:\n  * abandon the trading interface he is used to,\n  * set up an entirely new account and wait for assets to transfer,\n  * manage his retirement account in a separate brokerage,\n  * and receive almost no support from IBKR. He heard they even liquidate assets without notice!\n\n![uploaded image](/media/?type=post&id=81967&key=user_uploads/1351685/2729d18e-1617-4a3d-87b9-1d759021392e)\n\n**How big is this problem?**\n\nIn total, credulous individual investors overpay $32B+ in interest per year to banks and broker-dealers, fueling a $1 trillion+ market with low competition. This market is similar to the size of total outstanding credit card debt, or 2.65x the size of the HELOC market.\n\n![uploaded image](/media/?type=post&id=81967&key=user_uploads/1351685/2f0e0799-acc3-411b-b2e2-7e8b9721a42b)\n\n# 💡Solution: Add SyntheticFi to your current brokerage platform.\n\nRegistered with the SEC, SyntheticFi acts as an **add-on** to your current investment platform. It allows you to borrow at a base rate + 0.5%, currently **5\\.83%,** **without switching** to another brokerage account.\n\nGet liquidity in three easy steps:\n\n* Connect SyntheticFi to your brokerage account via a Plaid-like connection;\n  * We will ask you for certain permissions;\n  * We are required by law to act in your best interest - we are an SEC-registered investment advisor.\n* Tell us the amount you’d like to borrow and when you’d like to repay;\n* Withdraw the cash immediately!\n\n![uploaded image](/media/?type=post&id=81967&key=user_uploads/1351685/ce1f7529-7bf4-4858-b143-3c364df850e8)\n\n**How much does SyntheticFi cost?**\n\n* \\[FREE DEAL\\] [Join our Slack community](https://join.slack.com/t/syntheticficommunity/shared_invite/zt-2mab058vk-GGgIEEMgJ\\~8xwsasPx7FXQ), and get your first loan ON US!\n* 0\\.016% of your loan amount per month, up to $200 per month. This is 1/30 to 1/10 of what traditional brokers currently charge.\n\n![uploaded image](/media/?type=post&id=81967&key=user_uploads/1351685/91a2ea6e-d7e7-4243-9412-eedbbc8819d0)\n\n# 📝 FAQ\n\n**How can you offer the cheapest margin rate on the market?**\n\nWe help you enter into an exchange-traded loan contract. You can think of it as we bring your loan contract to Wall Street, where all traders compete in real time to offer you the cheapest loan.\n\n**What is the loan you trade on exchange here?**\n\nWe trade a basket of options called box spreads. These options are hedged so that they do not move with the underlying. Read more about them [**here**](https://www.syntheticfi.com/how-it-works), and see how [**Reddit traders**](https://www.reddit.com/r/PMTraders/comments/pziqxa/spx_box_spreads_what_they_are_and_how_to_use_them/) are using them.\n\n**What is the tax treatment for the loan interest?**\n\nThe loan interest incurred is always tax deductible as capital losses.\n\n**How can you let me stay with my current brokerage?**\n\nOur loan contract is supported across major brokerages. We integrate with them and trade it in your account, so you don’t need to switch.\n\n**How much can I borrow against my investment?**\n\nMargin requirements from your current broker apply. Most clients should be able to borrow up to 50% of their portfolio value. Exceptions: non-liquid investments, retirement assets, or crypto assets.\n\n**What can I use my borrowed cash for?**\n\nMoney borrowed from our product can be used for any purpose, including buying more stocks.\n\n# 👥 Team\n\n![uploaded image](/media/?type=post&id=81967&key=user_uploads/1351685/8dd7d1af-505b-4f77-b967-8f620db3455f)\n\nWe’re Joseph and Tony (left, right), the team behind SyntheticFi. Joseph worked on similar products with financial advisors when he was the first employee who built VRGL, a series-A wealth-tech startup valued at over $100MM. That inspired us to build SyntheticFi and bring cheap securities-backed borrowing rates reserved for the ultra-rich to the average person.\n\n# 📢 Asks\n\n\\[FREE DEAL\\] If you are currently using margins / security-backed loans:\n\n* We’d love to chat and see what you think of our product! Let’s [**find time to meet**](https://calendly.com/tonyyanga/meet-with-tony-syntheticfi). We will waive our fee from your first loan.\n* You can also [sign up](https://app.syntheticfi.com) on our website directly!\n\n\\[Introductions\\] If you know **anyone at financial advisor platforms, independent broker-dealers, or mortgage brokers** who wants to gain revenue while giving their clients better rates:\n\n* We’d love a referral. Our email is [founders@syntheticfi.com](mailto:founders@syntheticfi.com)\n* Or, share our website: [syntheticfi.com](http://syntheticfi.com/).",
        "url": "https://www.ycombinator.com/launches/LK3-syntheticfi-cheapest-way-to-get-liquidity-from-your-stock-investments",
        "votes": 57,
        "created_at": "2024-07-08T19:18:02.194Z"
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    "id": 29041,
    "name": "Langdock",
    "slug": "langdock",
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    "all_locations": "Berlin, Berlin, Germany",
    "long_description": "Langdock is a comprehensive and secure platform for deploying AI in companies. From a powerful chat interface for all employees to tools for creating custom workflow automations with AI-driven agents.",
    "one_liner": "The all-in-one AI platform for companies.",
    "team_size": 65,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1690080205,
    "tags": [
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    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
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    "regions": [
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    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/langdock",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/langdock.json",
    "year_founded": 2023,
    "city": "Berlin",
    "country": "DE",
    "linkedin_url": "https://www.linkedin.com/company/langdock/",
    "x_url": "https://twitter.com/langdock_hq",
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    "cb_url": null,
    "github_url": "https://github.com/Langdock",
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    "primary_partner": {
      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
    },
    "founders": [
      {
        "user_id": 460543,
        "full_name": "Lennard Schmidt",
        "title": "Founder",
        "founder_bio": "Building langdock.com :)",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/lennardschmidt",
        "x_url": "https://twitter.com/lenschmi",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7e1821dad26b33de0218d4c943934533e6253590.jpg"
      },
      {
        "user_id": 803591,
        "full_name": "Jonas Beisswenger",
        "title": "Founder",
        "founder_bio": "Building Langdock (S23)",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/jonasbeisswenger",
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      },
      {
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        "full_name": "Tobias Kemkes",
        "title": "Founder",
        "founder_bio": "Before Langdock, I was the founding engineer at Blair (YC S19) and built an end-to-end automated servicing platform to manage their $100M debt facility. The platform was audited, handled sensitive data, and moved millions of dollars around. I later became Blair's first head of product, managing a team of five engineers.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/tobiaskemkes",
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    "news": [
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        "title": "Langdock raises $3M with General Catalyst to help companies avoid vendor lock-in with LLMs | TechCrunch",
        "url": "https://techcrunch.com/2024/04/19/langdock/amp/",
        "date": "Apr 19, 2024"
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    ],
    "launches": [
      {
        "id": 73432,
        "title": "Langdock: The GDPR-compliant ChatGPT for your team",
        "tagline": "Employees are already using ChatGPT, we help companies to embrace the technology in a compliant way.",
        "body": "Hey everyone! We’re Tobias, Jonas, and Lennard from Langdock. We are in the current YC batch and excited to launch our product today!\n\n![uploaded image](/media/?type=post&id=73432&key=user_uploads/460543/1c6d378f-7ca9-4804-9abf-b3fb287db16e)\n\nWe initially built a product that enabled developers to easily create LLM Plugins across ChatGPT and LangChain. We quickly gained a few hundred users, and through conversations with them, we learned a lot about the duality of fear and excitement around LLMs within companies.\n\nThat is why we started building the GDPR-compliant ChatGPT for teams, enabling companies to easily and safely embrace the productivity increase of ChatGPT. Professionals are already using ChatGPT individually — we help companies manage & control the usage and help employees share conversations with co-workers.\n\n**The Problem: Using ChatGPT as an employee is not compliant**\n\n* ChatGPT is already increasing the productive output of employees\n* ChatGPT is not compliant, and companies either look the other way, explicitly forbid its usage or build internal tooling to replicate the ChatGPT experience (e.g. Stripe)\n* Companies have no simple way of managing how employees engage with tools like ChatGPT\n\n**The Solution: GDPR-compliant ChatGPT for Teams**\n\n* We are building the model-agnostic application layer for companies, enabling companies to enable and disable models that are available to their users\n* We enable companies to enforce their rules on data privacy and access\n* We help companies easily manage the users of their organizations, analyze the usage, and upskill them to make use of LLMs\n\n**Our Request**\n\n* If you are considering embracing ChatGPT within your company to increase knowledge worker productivity, please get in touch via [lennard@langdock.com](mailto:lennard@langdock.com)!",
        "url": "https://www.ycombinator.com/launches/J6O-langdock-the-gdpr-compliant-chatgpt-for-your-team",
        "votes": 66,
        "created_at": "2023-07-26T04:11:42.148Z"
      }
    ]
  },
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    "id": 29042,
    "name": "Santé",
    "slug": "sante",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d10be62025bd08a71a16a6b40cd46744ed418b47.png",
    "website": "https://santehq.com/",
    "all_locations": "New York City, NY, USA",
    "long_description": "",
    "one_liner": "All-in-one POS for liquor stores",
    "team_size": 20,
    "industry": "B2B",
    "subindustry": "B2B -> Retail",
    "launched_at": 1684850998,
    "tags": [
      "Fintech",
      "SaaS",
      "B2B",
      "Retail"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
      "B2B",
      "Retail"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/sante",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/sante.json",
    "year_founded": 2023,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d10be62025bd08a71a16a6b40cd46744ed418b47.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
    },
    "founders": [
      {
        "user_id": 944994,
        "full_name": "Darren Fike",
        "title": "Founder",
        "founder_bio": "10 years of Sales and Marketing experience at startups like Fast and Bond. \n\nCurrently: Co-Founder / CEO of Santé; Toast for liquor stores. ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/darrenfike",
        "x_url": "https://twitter.com/darrenfike",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/46f25949476ef21e88a9939fe30391f32bde160c.jpg"
      }
    ],
    "jobs": [
      {
        "id": 79917,
        "title": "Sales Development Representative",
        "url": "https://www.ycombinator.com/companies/sante/jobs/7rJnVUS-sales-development-representative",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$100K - $120K",
        "equity_range": "0.15% - 0.25%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 85970,
        "title": "Account Executive",
        "url": "https://www.ycombinator.com/companies/sante/jobs/oxtGcli-account-executive",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$120K - $150K",
        "equity_range": "0.10% - 0.25%",
        "experience": "1+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 86945,
        "title": "Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/sante/jobs/QnEEC9K-forward-deployed-engineer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "QA engineer",
        "salary_range": "$80K - $120K",
        "equity_range": "0.10% - 0.25%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 102678,
        "title": "Customer Experience Manager",
        "url": "https://www.ycombinator.com/companies/sante/jobs/hZPgZ7E-customer-experience-manager",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$80K - $100K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 103671,
        "title": "Head of Content",
        "url": "https://www.ycombinator.com/companies/sante/jobs/p2P43c9-head-of-content",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$100K - $150K",
        "equity_range": "0.10% - 0.20%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 105460,
        "title": "Applied AI Engineer",
        "url": "https://www.ycombinator.com/companies/sante/jobs/uqzHIY0-applied-ai-engineer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$230K - $300K",
        "equity_range": "0.10% - 0.25%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 105461,
        "title": "Senior Engineer - Money Movement",
        "url": "https://www.ycombinator.com/companies/sante/jobs/244pt5F-senior-engineer-money-movement",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$230K - $300K",
        "equity_range": "0.10% - 0.25%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 105462,
        "title": "Founding Growth Marketer",
        "url": "https://www.ycombinator.com/companies/sante/jobs/JZuHyLJ-founding-growth-marketer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$100K - $150K",
        "equity_range": "0.10% - 0.20%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 112874,
        "title": "Product Designer",
        "url": "https://www.ycombinator.com/companies/sante/jobs/sZ66lLT-product-designer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Design",
        "role_type": "Product design",
        "salary_range": "$120K - $160K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 73086,
        "title": "Santé - The all-in-one POS for liquor stores",
        "tagline": "Manage your business in one powerful application specifically built for liquor stores.",
        "body": "# Overview\n\nSanté is the all-in-one POS for liquor stores. Our mission at Santé is to empower tens of thousands of liquor store owners to run their businesses more efficiently using modern software.\n\n# Problem\n\n91% of liquor stores are independently owned and operated. Stores are often understaffed and rely on antiquated systems to manage day-to-day operations. A few examples of common problems for liquor stores:\n\n* Spending hours per week on manual data entry for inventory receiving and creating purchase orders.\n* Dealing with complex interstate regulations to sell liquor online (a growing trend).\n* Working with poor integrations for local delivery (Drizly, DoorDash, Instacart, etc).\n* Mishandling products at checkout because many beers/wines do not have barcodes.\n* Losing sales due to poor integration between their POS and marketing tools.\n* Losing a meaningful portion of their inventory to theft ($5B+ lost across the industry annually).\n\nIn fact, one of our early customers called this industry a “dinosaur industry” after sending us this picture:\n\n![uploaded image](/media/?type=post&id=73086&key=user_uploads/944994/e85195fe-bd46-4385-9b1f-6fc29d05eff4)\n\n# Solution\n\nWe’re helping independent liquor stores run thriving businesses with a POS built from the ground up to serve their specific needs:\n\n* **Simple Receiving:** Saving hours per week with automated inventory receiving and purchase order management\n* **Theft Monitoring:** Using RFID tags on every bottle to track when stolen bottles are leaving the store\n* **Compliance Management:** Source of truth on state-by-state shipping so that stores can open a new revenue stream and ship to all available states across the country\n* **Robust integrations:** Cutting costs by giving store owners all the tools they need to run their business with one subscription to Santé\n\n# Founders\n\n[@Darren](https://www.linkedin.com/in/darrenfike/), Santé’s CEO, was the top sales rep at his last two startups, and he has a passion for wine. Last year, he realized that his favorite local liquor stores in NYC still heavily rely on pen and paper. To learn more about the problem, he spent the next four months working at Frankly Wines on nights and weekends and interviewed over a hundred liquor store owners.\n\n[@Antoine](https://www.linkedin.com/in/antoinebalaresque/), Santé’s CTO, is a UC Berkeley alum and has founded multiple startups in the past in robotics, e-commerce, and SaaS. He is originally from France.\n\n# Give us a hand!\n\nHave any friends or family that work in the liquor store industry that would be interested in a casual discovery call? \n\nReach out to Darren at [darren@santehq.com](mailto:darren@santehq.com) to coordinate an intro. ",
        "url": "https://www.ycombinator.com/launches/J0o-sant-the-all-in-one-pos-for-liquor-stores",
        "votes": 28,
        "created_at": "2023-07-14T18:31:57.403Z"
      }
    ]
  },
  {
    "id": 29053,
    "name": "Pure",
    "slug": "pure",
    "former_names": [
      "Pure Metals",
      "Pure",
      "Pure 🪙"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a7d5b43cf42b46a6425da47dbd166eb9eb4f389a.png",
    "website": "https://www.collectpure.com/",
    "all_locations": "Los Angeles, CA, USA",
    "long_description": "Pure is the first transparent marketplace for the $11B Rare Coins Sector & $55B Precious Metals sector. We make it easy to buy & sell authenticated rare coins and precious metals such as Gold, Silver, Platinum, Palladium & Rhodium. ",
    "one_liner": "Marketplace for Rare Coins & Precious Metals",
    "team_size": 13,
    "industry": "Consumer",
    "subindustry": "Consumer",
    "launched_at": 1687372303,
    "tags": [
      "Marketplace"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
      "Consumer"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/pure",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/pure.json",
    "year_founded": 2022,
    "city": "Los Angeles",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/puretechnologies/",
    "x_url": "https://twitter.com/collectpure",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a7d5b43cf42b46a6425da47dbd166eb9eb4f389a.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
    },
    "founders": [
      {
        "user_id": 1135457,
        "full_name": "Trey Benedict",
        "title": "Founder",
        "founder_bio": "Ex Numismatist @ Heritage TII & KLRC, Research @ Smithsonian.\nSneakerhead, Minesweeper, Nerd, & Pinball",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/treybenedict",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/68ddb41c0b20391fa71443dd9ba148d3adbf6af7.jpg"
      }
    ],
    "jobs": [
      {
        "id": 97526,
        "title": "Product Engineering Intern",
        "url": "https://www.ycombinator.com/companies/pure/jobs/fZDWDQD-product-engineering-intern",
        "location": "Los Angeles, CA, US / Remote (US)",
        "type": "Internship",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$6K - $10K / monthly",
        "equity_range": "",
        "experience": null,
        "visa": "US citizen/visa only",
        "skills": [
          "PostgreSQL",
          "TypeScript",
          "Next.js"
        ]
      },
      {
        "id": 97529,
        "title": "Growth Marketing Intern",
        "url": "https://www.ycombinator.com/companies/pure/jobs/FB9AhLp-growth-marketing-intern",
        "location": "Marina del Rey, CA, US",
        "type": "Internship",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$4K - $7K / monthly",
        "equity_range": "",
        "experience": null,
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 113410,
        "title": "Social Media & Content Lead",
        "url": "https://www.ycombinator.com/companies/pure/jobs/hIBVVWH-social-media-content-lead",
        "location": "Los Angeles",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$90K - $135K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 114398,
        "title": "Product Engineer — Marketplace",
        "url": "https://www.ycombinator.com/companies/pure/jobs/B8FlDEm-product-engineer-marketplace",
        "location": "Los Angeles, CA, US / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$160K - $220K",
        "equity_range": "0.25% - 0.50%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "PostgreSQL",
          "TypeScript",
          "Machine Learning",
          "Information Security",
          "Software Security",
          "Computer Vision",
          "Marketing design",
          "Next.js",
          "AI Agents",
          "AI Safety"
        ]
      },
      {
        "id": 114399,
        "title": "Product Engineer — Vault Platform",
        "url": "https://www.ycombinator.com/companies/pure/jobs/NUoCiNB-product-engineer-vault-platform",
        "location": "Los Angeles, CA, US / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$160K - $220K",
        "equity_range": "0.25% - 0.50%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "PostgreSQL",
          "TypeScript",
          "Machine Learning",
          "Information Security",
          "Software Security",
          "Computer Vision",
          "Marketing design",
          "Next.js",
          "AI Agents",
          "AI Safety"
        ]
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 73870,
        "title": "Pure - Marketplace for gold/silver coins & bars",
        "tagline": "We provide transparency & efficiency for physical Precious Metals traders",
        "body": "Hey everyone! **Trey Benedict** & **David Gordillo** here from **Pure** to talk about our recent Precious Metals marketplace launch (2nd Launch of the Batch!). Our coin-scanning app launch gathered over 1K+ downloads and over 700 active users in a month, we thank you for your support 🙂\n\n### **TL;DR:**\n\nWe built an order-book-style marketplace to buy precious metals products such as gold/silver coins & bars. [**https://collectpure.com/**](https://collectpure.com/)\n\n### **❌ Problem**\n\nBuying & selling physical precious metals is very difficult. Most people wouldn’t even know where to start.\n\nA quick Google search will lead you to retailers that charge a “premium” of 10-30% over the current spot price, practically burying the consumer in fees.\n\nIndustry incumbents are highly predatory, taking advantage of consumers, especially older people who are interested in tangible assets.\n\nA similar front comes with selling precious metals; imagine “Cash for Gold” places that are offering -30% back of spot, taking advantage of unknowing sellers. There are barely any options to be able to sell precious metals online, we are changing that with a safe, simple process.\n\nPhysical precious metals is a massive market ($55B+) and exploding due to the rising inflation within the last 3-5 years, but the bad actors need to go.\n\n### **✨ Solution**\n\nWe built a platform for buyers & sellers to efficiently trade precious metals products that are assayed by the world governments and leading refineries and assayers.\n\n![uploaded image](/media/?type=post&id=73870&key=user_uploads/1135457/37b06359-cdf3-475e-90e7-739bdce24e6b)\n\nEffectively, we have lowered the premiums on precious metals to 3-5% by creating an order-book-style marketplace, down from 10-30% previously.\n\nThe key is to provide transparency of manufacturing premiums, spot prices, and historical trends in price to be able to provide the most efficient solution for purchasing physical precious metals. These will update after one week of the site launch to start giving predictions similar to Kayak’s flight advice.\n\n![uploaded image](/media/?type=post&id=73870&key=user_uploads/1135457/0cdd9e9c-4865-4c83-8f6a-959492b22bc0)\n\nIn order to carry out a streamlined marketplace, we needed a heavy-duty logistics solution, that’s why we partnered with the largest wholesaler of precious metals in the US, as well as the US Mint to secure a depository vault in the Las Vegas airport. All items are double-insured, with armed security 24/7. (Yes, we have a mini Fort Knox).\n\n### **🔦 Asks:**\n\nIf you are interested in purchasing Gold or Silver for orders over $2K please shoot me an email to [**trey@collectpure.com**](mailto:trey@collectpure.com). More than happy to chat!\n\nIf you know a gold bug, please send them our way! We would love to onboard them to our platform.\n\nIf you’d like to test the platform with a small purchase, this is the best entry to gold: [**https://www.collectpure.com/product/1-gram-argor-heraeus-gold-bar000199**](https://www.collectpure.com/product/1-gram-argor-heraeus-gold-bar000199)\n\nThanks!",
        "url": "https://www.ycombinator.com/launches/JDS-pure-marketplace-for-gold-silver-coins-bars",
        "votes": 31,
        "created_at": "2023-08-07T18:13:46.368Z"
      },
      {
        "id": 72512,
        "title": "Pure 🪙 - Bloomberg Terminal for certified rare coins (Numismatics)",
        "tagline": "We provide real-time pricing data & analytics to numismatists about their certified rare coins.",
        "body": "Hey everyone 🙂 [@Trey Benedict](https://bookface.ycombinator.com/user/1135457) & [@David Gordillo](https://bookface.ycombinator.com/user/1477652) here from [@Pure 🪙](https://bookface.ycombinator.com/company/29053) to talk about our recent app launch for physical certified rare coins (sorry crypto fans these are real coins).\n\n### **TL;DR:**\n\nWe have built the first aggregate index to provide the **$11B Numismatics industry** with real-time pricing & population data for all certified rare coins.\n\nCertified Coins are typically of higher value ($1k-$20m), that are authenticated and graded on a scale of 1-70 by services such as PCGS, NGC, & CAC. These are physical coins made from precious metals such as gold, silver, platinum, and palladium.\n\nThe current state of the industry is plagued with asymmetric information, fragmented databases, and steep learning curves, causing many market inefficiencies. Pure aims to tackle these problems, and provide transparency to the industry as a whole.\n\n### **⭐️ Team**\n\n[Trey Benedict](https://www.linkedin.com/in/treybenedict/) **(CEO)** UC Berkeley Econ + DS 23’\n\n* 10+ years of Numismatic experience at the Smithsonian, Heritage Auctions, KLRC & Tangible Investments.\n* Purchased, graded, and sold over $20m worth of Rare U.S. Certified Coins.\n\nDavid Gordillo **(CTO)** Dropped out to pursue Pure\n\n* Full-Stack Engineer & Security Specialist\n* Sneaker Automation Developer & Collector\n\nShoutout to [Harrison Resnick](https://www.linkedin.com/in/hres/) & [Carter Watts](https://www.linkedin.com/in/carter-watts/) as well for being a part of the founding engineering team & being fellow collectors of Comics & Cars!\n\n### **❌ Problem & Current State of Numismatics**\n\nSimilar to sports cards, highly valuable coins are certified by third-party graders such as PCGS, NGC, and CAC. These entities authenticate the coins and assign them a condition rating, which scales from 1 to 70.\n\nHowever, due to the nature of the industry, many problems arise for participants such as encountering:\n\n1. **Asymmetric Information** of Pricing, Population, and Provenance of Certified Rare Coins.\n2. **Fragmented Databases** with misaligned and outdated descriptions, difficulty of navigation, and data entry errors.\n3. **Steep Learning Curves** in Numismatics often lead new collectors to purchase overpriced or even counterfeit Certified Rare Coins.\n\n### **✨ Solution**\n\nPure has created the **first aggregate index** of all U.S.-certified coins, with over 7+ million historical auction records across 72,000 different types of rare coin varieties.\n\n![uploaded image](/media/?type=post&id=72512&key=user_uploads/1135457/bbb572b7-2646-41f6-8d21-f77607b626cf)\n\nSimply **Scan, Tap, or Enter** the certificate number associated with a certified coin to be able to view all associated pricing & population data.\n\n![uploaded image](/media/?type=post&id=72512&key=user_uploads/1135457/807d05f5-b331-4f68-bcb5-6da2c955c84d)\n\nPure has created an overview for **real-time tracking and analysis** of coin inventories, benefiting collectors, dealers, and auction houses.\n\n![uploaded image](/media/?type=post&id=72512&key=user_uploads/1135457/d940e71f-b95d-4374-b606-6d27c77b1403)\n\nPure goes beyond analyzing historical data, by identifying **valuable collector traits** such as toning, mint luster, and eye appeal through the use of computer vision.\n\n### **How & Why Numismatics?**\n\nWe are collectors at heart, whether it be sneakers, cards, comics, or coins we have always collected something since we were young. Numismatics is a small niche community that happens to be one of the largest by market size, but the least technically involved. Over the years we have witnessed the revolution of sneakers through StockX & Goat, to sports cards, pokemon & Funko through ALT & Whatnot. It was only a matter of time before rare coins... However, we needed to catch the infrastructure of Numismatics up to speed first before diving deeper, hence this launch!\n\n### 🔦 **Asks:**\n\nIf you are Numismatist or know a friend who is: test [here](https://apps.apple.com/app/collect-pure-scan-rare-coins/id6446706268) 🙂\n\nInterested in learning more about Numismatics or Bullion: send us an email to [founders@collectpure.com](https://mailto:founders@collectpure.com)",
        "url": "https://www.ycombinator.com/launches/IrY-pure-bloomberg-terminal-for-certified-rare-coins-numismatics",
        "votes": 29,
        "created_at": "2023-06-24T21:44:02.861Z"
      }
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    "id": 29069,
    "name": "HappyRobot",
    "slug": "happyrobot",
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    "website": "https://happyrobot.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "HappyRobot is the AI-native operating system for the real economy, closing the circuit between intelligence and action. By combining real-time truth, specialized AI workers, and an orchestrating intelligence, HappyRobot manages complex, mission-critical work with true autonomy. Acting as a central brain, the OS compounds intelligence over time, optimizes decisions at every level, and continuously improves as it operates. Starting with supply chain and industrial-scale operations, HappyRobot enables enterprises to run with greater resilience and speed, while humans focus on strategy, creativity, and values.",
    "one_liner": "Intelligence that runs your operations. ",
    "team_size": 80,
    "industry": "B2B",
    "subindustry": "B2B -> Supply Chain and Logistics",
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      "AI Assistant"
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    "batch": "Summer 2023",
    "status": "Active",
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    "regions": [
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        "answer": "Pablo (CEO) and Javi (COO) are siblings. Luis (CTO) met Pablo on their second day of their Robotics and Electronics undergraduate program. Later, they both pursued a Masters in Mechanical Engineering at the Technical University of Munich (TUM). It was also at TUM where Pablo pursued his PhD in Computer Vision at one of the top 3D AI Labs in the world."
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    "url": "https://www.ycombinator.com/companies/happyrobot",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/happyrobot.json",
    "year_founded": 2022,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/happyrobot/",
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    "github_url": "https://github.com/happyrobot-labs",
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      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
    },
    "founders": [
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        "user_id": 864397,
        "full_name": "Pablo Palafox",
        "title": "Founder",
        "founder_bio": "Cofounder of Happyrobot (S23). Previously PhD Candidate @ TU Munich working on Computer Vision (https://pablopalafox.github.io/), research intern at Reality Labs (Meta).\n\n",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/pablorpalafox",
        "x_url": "https://twitter.com/pablorpalafox",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3c15f78e02ca693f6af4d55b37258d649aa8ee95.jpg"
      },
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        "user_id": 865186,
        "full_name": "Luis Paarup",
        "title": "Founder",
        "founder_bio": "Co-founder of Happyrobot (happyrobot.ai), working on AI agents that speak on the phone.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/luispaarup",
        "x_url": "https://twitter.com/PaarupLuis",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6ff5c4cb693accf866ea814aff20650012d12a2c.jpg"
      },
      {
        "user_id": 873650,
        "full_name": "Javier Palafox",
        "title": "Founder",
        "founder_bio": "Javi is the co-founder and COO of Happyrobot. Previously, he served as CFO for a $300M CPG brand.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/javierpalafox",
        "x_url": "https://twitter.com/javypalafox",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/06706d9e1436483e01015def6a69e02e45cc0bb8.jpg"
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        "title": "Software Engineer - Backend",
        "url": "https://www.ycombinator.com/companies/happyrobot/jobs/kOMgJ67-software-engineer-backend",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
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        "salary_range": "$180K - $250K",
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        "experience": "3+ years",
        "visa": "US citizen/visa only",
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        "title": "Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/happyrobot/jobs/atsn2pi-forward-deployed-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
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        "visa": "US citizen/visa only",
        "skills": [
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        "title": "Growth Strategist",
        "url": "https://www.ycombinator.com/companies/happyrobot/jobs/6w3KWDx-growth-strategist",
        "location": "San Francisco, CA, US",
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        "salary_range": "$100K - $160K",
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        "visa": "Will sponsor",
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        "title": "Deployment Strategist",
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        "location": "San Francisco, CA, US",
        "type": "Full-time",
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        "equity_range": "",
        "experience": "6+ years",
        "visa": "Will sponsor",
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        "title": "Sales Development Representative (SDR)",
        "url": "https://www.ycombinator.com/companies/happyrobot/jobs/MeE7K9c-sales-development-representative-sdr",
        "location": "San Francisco, CA, US / Remote",
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        "title": "Growth Strategist",
        "url": "https://www.ycombinator.com/companies/happyrobot/jobs/fKdt41A-growth-strategist",
        "location": "Madrid, MD, ES / Madrid, Community of Madrid, ES",
        "type": "Full-time",
        "role": "Marketing",
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        "salary_range": "$100K - $160K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 78399,
        "title": "Revenue Operations Analyst",
        "url": "https://www.ycombinator.com/companies/happyrobot/jobs/fycMaEd-revenue-operations-analyst",
        "location": "Madrid, MD, ES / Madrid, Community of Madrid, ES",
        "type": "Full-time",
        "role": "Finance",
        "role_type": null,
        "salary_range": "$120K - $160K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 78403,
        "title": "Creative Content Designer",
        "url": "https://www.ycombinator.com/companies/happyrobot/jobs/bifDoer-creative-content-designer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$120K - $150K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 78404,
        "title": "Enterprise Account Executive",
        "url": "https://www.ycombinator.com/companies/happyrobot/jobs/g0HtEuo-enterprise-account-executive",
        "location": "San Francisco, CA, US / Remote",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$120K - $220K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 78410,
        "title": "Software Engineer - Full Stack",
        "url": "https://www.ycombinator.com/companies/happyrobot/jobs/HtxqjUB-software-engineer-full-stack",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$180K - $250K",
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        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": []
      },
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        "id": 78412,
        "title": "Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/happyrobot/jobs/ibOQjPw-forward-deployed-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
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        "role_type": "Full stack",
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        "id": 78413,
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        "url": "https://www.ycombinator.com/companies/happyrobot/jobs/3skvpP7-forward-deployed-engineer",
        "location": "Madrid, MD, ES / Madrid, Community of Madrid, ES",
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        "title": "Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/happyrobot/jobs/Ix3zRiJ-forward-deployed-engineer",
        "location": "Chicago, IL, US",
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        "title": "GTM Recruiter",
        "url": "https://www.ycombinator.com/companies/happyrobot/jobs/qpNaFDi-gtm-recruiter",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Recruiting & HR",
        "role_type": "Recruiter",
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        "experience": "3+ years",
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      },
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        "title": "People Partner ",
        "url": "https://www.ycombinator.com/companies/happyrobot/jobs/gT1OBRa-people-partner",
        "location": "San Francisco, CA, US",
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        "role_type": "Operations",
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        "title": "Technical Recruiter",
        "url": "https://www.ycombinator.com/companies/happyrobot/jobs/ehkQpAw-technical-recruiter",
        "location": "San Francisco, CA, US",
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      {
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        "title": "Founder's Associate",
        "url": "https://www.ycombinator.com/companies/happyrobot/jobs/bipmHxL-founder-s-associate",
        "location": "San Francisco, CA, US / Remote (San Francisco, CA, US)",
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        "role_type": null,
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        "title": "HappyRobot is worth $1.2 billion. Its founder says it’s just ‘getting started’ | Fortune",
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        "full_name": "Amir Prodensky",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder & CEO at Strada. Previously PM @ Revolut.",
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        "linkedin_url": "https://linkedin.com/in/aprodensky",
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        "full_name": "Arash Khazaei",
        "title": "Founder",
        "founder_bio": "Co-Founder & CTO of Strada. Previously led engineering at Stripe-backed fintech and tech lead at Microsoft. ",
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        "full_name": "Gabriel Banks",
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        "type": "Full-time",
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      {
        "id": 93732,
        "title": "Quill Bills: AI billing that makes doctors more money!",
        "tagline": "Transparent, Fast, and Affordable Medical Billing Agency",
        "body": "\n**The Problem**\n\nRight now, every doctor in the US pays for human billers. Some of them outsource it to a billing agency which charges them anywhere from 2% to _10% of total revenue_. (that’s crazy!)\n\nThat on its own is expensive, but there’s also another problem: Since processing bills is expensive, up to **30%** of all claim revenue is denied by health insurance companies, and no follow up is made by the biller to fight it.\n\n**The Solution**\n\nDoctors in the US right now are being charged up to 10% on their bottom line and losing up to 30% of their top line revenue.\n\nWell, we’ve figured out how to fix this problem, by making it a lot cheaper to do billing. We’ve figured out how to do it (nearly) all with AI. We have a team of human billers to do manual checks, but they can process orders of magnitude more claims than a biller doing it manually (which is all of them right now).\n\nThis means we can not only charge lower fees, but also we have more bandwidth to fight that 30% denial rate! So we typically end up making doctors more money.\n\nWe’ve got decades of billing experience on our team, and are already deployed with clinics and hospitals in the US processing millions of dollars in annual claim revenue.\n\n**Offer for Doctors**\n\nIf you or somebody you know is a doctor, we can help them make up to 30% more money every year!\n\nWe have a limited offer for the next 10 clinics/hospitals we bring on: **We’ll do your billing as a white-glove service for a flat 1.8% fee (+ no onboarding fee)**. This is way below market price. Just tell them to ask for the YC discount.\n\n**Links**\n\nhttps://quillbills.com\n\n**Asks**\n\nPlease send us any doctors you know! Doctors who own their own practices are our happiest customers.\n\n![uploaded image](/media/?type=post&id=93732&key=user_uploads/89898/609faa41-c675-45cf-b5f1-c7cbf7c57fd8)\n\n",
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        "title": "Quill AI: A 10x more efficient equity research platform",
        "tagline": "Turn PDFs into spreadsheets, export data with citations, and get up to speed on earnings performance within seconds of release",
        "body": "**tl;dr** We are using LLMs to speed up the equity research process by taking the pain out of working with financial filings.\n\n**Problem 1:** **Pulling tables from SEC filings**\n\nThe de-facto current solution is a tool called BamSEC. However, there are a couple of problems with it: a) They don’t provide citation links to their numbers, and b) To merge data from previous filings, you can only do it one table at a time.\n\nQuill solves both these problems. Take a look:\n\n![uploaded image](/media/?type=post&id=81746&key=user_uploads/1188332/a0ad69cc-e3d1-44e3-be24-11b74b4c7147)\n\n**Problem 2: PDFs → Excel is painful**\n\nThis flow normally involves a lot of number-by-number copy-pasting. Quill lets you skip that and turn any PDF into a spreadsheet (extracting all reported numbers and tables) – with citation links for each number.\n\n![uploaded image](/media/?type=post&id=81746&key=user_uploads/1188332/e60269ce-c233-48e5-a639-b4bf03e5d709)\n\n**Problem 3: Earnings season is extremely hectic**\n\nEvery quarter, companies report earnings and investors have to quickly digest the performance, guidance, and Q&A sections of the earnings calls for each of their 20-40 portfolio companies before forming an investment opinion.\n\nQuill lets you digest these sections in an instant. Instead of reading through the raw calls, you get a dashboard that explains the main reported performance and guidance metrics, the key points in management’s commentary, and the key concerns of Wall Street analysts.\n\nFaster workflows mean you can cover more companies per quarter.\n\n![uploaded image](/media/?type=post&id=81746&key=user_uploads/1188332/bf27d425-881e-4da3-8c2d-373a4eff5244)\n\nWe’ve been working hard on these features and would love to get the word out! If you know people who work in:\n\n* Hedge funds\n* Investment banks\n* Equity research\n\nWe’d love to talk to them!\n\nOur website is <https://quillai.com>\n\nReach out to us at [founders@quillai.com](mailto:founders@quillai.com)\n\nBest,\n\nGabriel and Kartik",
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        "votes": 27,
        "created_at": "2024-06-25T21:56:44.151Z"
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        "id": 72889,
        "title": "Quill AI: The financial research assistant",
        "tagline": "Meet Quill, the tool that makes financial research a breeze.",
        "body": "**TLDR:** We let investors a) extract information from SEC filings just by asking, and b) screen stocks much faster. If you have friends in finance who want to get more sleep this week, send them to [quillai.co](http://quillai.co)!\n\nQuill AI lets you search through SEC filings and screen stocks on command. And we don’t just summarize the information - we point you right to the source, making it easy to audit the results.\n\n**The Problem(s)**\n\n* Investors spend hours reading SEC filings looking for key bits of information to use in their models/reports.\n* Existing AI info extraction tools don’t cite sources very well - making them difficult to audit. They also aren’t tuned for financial filings.\n* Current stock screeners require an annoying filtering process to produce meaningful lists of investment opportunities.\n\n**The Solution**\n\n* Quill’s web app, which lets you search for key pieces of information across financial documents in Q&A format.\n\n![uploaded image](/media/?type=post&id=72889&key=user_uploads/820106/c53e2745-e899-4fbe-90c3-341f984067b5)\n\n* Quill’s natural language screener, which lets you ask for stocks matching your desired criteria.\n\n![uploaded image](/media/?type=post&id=72889&key=user_uploads/820106/dec91582-cca8-4c34-ab17-bec911fe7fba)\n\n**Our Ask**\n\n* If you’re an investor or you work in finance, give Quill a shot at [quillai.com](http://quillai.com) – we’re giving users a 7-day free trial. \n* Try the tool. If you think your whole team could benefit from it, send us a message at [founders@quillai.com](mailto:founders@quillai.com) and we’ll get you up and running.\n\nThank you!",
        "url": "https://www.ycombinator.com/launches/Ixd-quill-ai-the-financial-research-assistant",
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        "answer": "We (Phil and Ming) previously built Whist, a cloud-hybrid browser, together with an amazing team of 20 from 2020 to 2023. We originally met at university, in 2016, during the earliest days of orientation, and quickly became close friends, pitching each other startup ideas throughout college, until we decided to make the jump during our senior year.The idea for ParadeDB came from building on the experience acquired in the cloud infrastructure market during our Whist days, and from talking with 50+ customers in the beginnings of YC S23. We initially applied to YC with a completely different idea, but pivoted into what became ParadeDB after seeing more customer interest for the infrastructure we had built to service our prior idea, a sustainability platform, than the idea itself; and thus ParadeDB was born."
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        "question": "How did you decide to apply to Y Combinator? What was your experience applying, going through the batch, and fundraising at demo day?",
        "answer": "We were looking for an environment that would help us make something people want and not get caught in all the other non-essential parts of building an early-stage company. Our experience with YC was shaped by this mindset from application to fundraising and we had a great experience."
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        "question": "How have you kept in touch with the YC community and continued to use YC resources & programs since the batch ended?",
        "answer": "We’ve made a bunch of friends in YC, are still in touch with our Group Partner and batchmates, and frequently interact on Bookface."
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        "question": "What's the history of your company from getting started until the present day? What were the big inflection points?",
        "answer": "ParadeDB started during the YC batch, in Summer of 2023. We first released `pg_search`, our full-text search product in Postgres. A few months later we released `pg_analytics`, our analytics product in Postgres. We eventually combined them both into a single Postgres extension to offer full-text search and analytics in Postgres. Today, we’re productionizing both in ParadeDB and working to serve increasingly large customers."
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      {
        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "Postgres’ full-text search and analytics capabilities, two critical workloads for SaaS, finance, retail, and countless more industries, are a far cry from dedicated data stores like Elasticsearch. ParadeDB is fixing that."
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      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "ParadeDB is part of the “Postgres for everything” movement, enabling companies to run increasingly larger parts of their data infrastructure on Postgres in an open-source, free of vendor lock-in world."
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        "full_name": "Philippe Noël",
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        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/philippemnoel",
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        "title": "Database Engineer — Storage & Query Execution",
        "url": "https://www.ycombinator.com/companies/paradedb/jobs/GCpYraM-database-engineer-storage-query-execution",
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        "title": "Distributed Systems Engineer — Postgres Platform",
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        "date": "Jul 15, 2025"
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Cair Health empowers billing companies, care management platforms, EHRs, offshore BPOs, provider groups, and specialty pharmacies with AI-driven RCM solutions.  Our suite of AI Agents helps RCM teams streamline operations, reduce manual costs, and improve consistency—while maintaining full control over core workflows. Cair is trusted by 100+ practices across the country — including iconic VC-backed digital health startups, leading specialty EHRs, and some of the largest billing companies and BPOs\r\n\r\nBacked by Y Combinator, Foundation Capital, Soma Capital, Translink Capital & many others.. ",
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    "team_size": 6,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Healthcare IT",
    "launched_at": 1690913334,
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      "Health Tech",
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      "Health Insurance",
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      "ML"
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        "full_name": "Shehbaz Virk",
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        "user_id": 1371723,
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      {
        "title": "Dili wants to automate due diligence with AI | TechCrunch",
        "url": "https://techcrunch.com/2024/02/19/dili-wants-to-automate-due-diligence-with-ai/",
        "date": "Feb 19, 2024"
      },
      {
        "title": "Y Combinator Demo Day 2023: Our favorites Day 2 | TechCrunch",
        "url": "https://techcrunch.com/2023/09/07/ycombinator-demo-day-two-summer-2023/",
        "date": "Sep 07, 2023"
      }
    ],
    "launches": [
      {
        "id": 82651,
        "title": "Dili: The most reliable AI for diligence on high-stakes deals",
        "tagline": "Dili has provided diligence and red flags on 3000+ deals across tax credits, real estate, private credit and PE.",
        "body": "Hi everyone, we are Brian and Anand. We had a big month at Dili with +210% revenue growth MoM, and we wanted to publicly share how Dili can improve underwriting and investment outcomes for our customers.\n\n![uploaded image](/media/?type=post&id=82651&key=user_uploads/312266/5c9775a5-577f-46a8-b175-df7c53aa86e7)\n\n**🧨 The Problem: Due Diligence is time-consuming, prone to human error, and today’s AI is not equipped to handle these mission-critical workflows**\\\n\\\nDue diligence today can mean spending weeks digging up data in datarooms using your domain-specific knowledge and presenting findings in memos to make multi-million-dollar investment decisions. All of this work is manual, time-consuming, and very often prone to human error. There are several cases where it is not feasible to have a human sift through 100’s of documents to find the red flag buried deep in the data room. Today’s AI models are not accurate enough to assist with mission-critical use cases like underwriting $60M+ tax credit transactions, $100M+ loan & lease abstraction, deal screening, and drafting investment memos.\\\n\\\n**🧿 The Solution: Dili’s AI Platform reads every file to generate relevant reports - with confidence scores.**\n\n![uploaded image](/media/?type=post&id=82651&key=user_uploads/312266/a75b94cc-08d8-475d-87eb-2722f0f2ff4b)\n\nDili is built to be the most reliable platform for automating diligence and portfolio management workflows. It can read every file in a dataroom and provide reports with confidence scores on every output so you know when something needs your attention. Using the in-app file viewer, you can inspect sources directly with text highlighted.\n\n![uploaded image](/media/?type=post&id=82651&key=user_uploads/312266/1ce274aa-4733-4e59-aca9-d9275250bac9)\n\nFirms can now tune Dili using their domain knowledge and instructions to fit their custom templates, reports, and SOPs. Using this fine-tuned expertise, Dili has found and fixed critical red flags and human errors on several multi-million dollar transactions across 3000+ deals.\n\n**Dili has been used to automate:**\n\n✅ **Tax credit** diligence to validate credits and underwrite risk on transactions\n\n✅ **Real estate** OM screening, loan, and lease abstraction\n\n✅ **Private Equity and Private Credit** deal screening and DD checklists\n\n✅ **VC** portfolio monitoring and drafting investment memos\n\n<https://youtu.be/hZfjKyGg1bU>\n\n### **👋 Ask: How you can help**\n\n* If you are involved in tax credit, real estate, or private credit/PE transactions, we’d love to share how Dili can help you. Book a demo [here](https://calendly.com/anand-dili-ai/30min).\n* Follow along on [LinkedIn](https://www.linkedin.com/company/dili-ai/) & [Twitter](https://twitter.com/dili_ai)!",
        "url": "https://www.ycombinator.com/launches/LV5-dili-the-most-reliable-ai-for-diligence-on-high-stakes-deals",
        "votes": 15,
        "created_at": "2024-08-01T19:01:58.230Z"
      },
      {
        "id": 73138,
        "title": "🧿 Dili: Accelerating due diligence with AI",
        "tagline": "Dili is the newest analyst on your deal team - who lets you complete due diligence in hours, not weeks.",
        "body": "**_Tl;dr:_** _Dili is an AI platform that accelerates manual tasks involved in the due diligence process for both buy- and sell- side deal teams. We make it easier for the buy-side (PE/VC funds) to invest in and buy companies, and for the sell-side to streamline due diligence processes for capital raises or M&A. Dili helps you make data-driven investment decisions through due diligence - from understanding the deal dataroom, leveraging your firm’s internal knowledge, to crafting investment deal materials. _[_Contact us here_](https://www.diliai.com/)_._\n\n\\\nHi everyone, we are Stephanie, Brian, and Anand - the co-founders of Dili! After working together at Coinbase, we decided to take on the challenge of making the due diligence process for capital markets more efficient for both buy-side and sell-side deal teams.\n\n![uploaded image](/media/?type=post&id=73138&key=user_uploads/312266/1392cf6c-9a41-45c9-b07c-eba28b21eb7b)\n\n### **🧨 The Problem: Due diligence is a time-consuming, manual process that is required for doing deals**\n\nStephanie (CEO, Co-founder) spent years working in investment banking, corporate development, and venture capital doing over $500m+ in deal volume. Her job consisted of several hours a day of tedious, manual tasks and workflows while conducting due diligence on deals. Today, due diligence means spending weeks or months carefully reading through company datarooms, digging up data across internal tribal knowledge & external sources, and analyzing or presenting findings in memos to make million dollar investment decisions.\n\nThis time-consuming, manual process means investors see fewer deals per year - and cannot dive deep enough on thorough due diligence for each deal. (i.e., JP Morgan’s recent acquisition of Frank!)\n\n### **🧿 The Solution: Dili’s AI platform that helps you make better investment decisions**\n\nDili is an LLM-powered platform that creates insights and analyses for investors which sits on top of 3 sources of data: 1.) the dataroom from the company you are doing due diligence on, 2.) a custom built structured internal knowledge database for your unstructured data, 3.) data integrations from your favorite external partners. Our solution helps you conduct data-driven due diligence because it improves the quality of due diligence conducted. LLMs run on top of all available internal and external data to provide you with better analyis and insights, making it 5x faster by automating the most manual parts of the process.\n\nImagine a new deal comes across your desk - you can use Dili to deeply **understand the information in a dataroom**, automatically find anomalies or red flags, and instantly calculate financial metrics/models.\n\n![uploaded image](/media/?type=post&id=73138&key=user_uploads/312266/c0e1c5c7-e38b-4a87-909f-5e11f7c9cb65)\n\nIf you wish to proceed with the deal - Dili structures and searches through your firm’s **internal knowledge base** as well as **external sources** (Pitchbook, Crunchbase, Tegus, LinkedIn etc.) to provide comprehensive comparables analysis and dashboard metrics for each new deal.\n\n![uploaded image](/media/?type=post&id=73138&key=user_uploads/312266/20b06589-6dbf-4335-b6dd-a4038b83a363)\n\nFinally, as you are coming to a thesis and writing an investment memo - Dili can put together a **first-cut memo / deal packet in minutes**, not days.\n\nUsing Dili, **PE & VC Firms**:\n\n✅ Conduct a due diligence deep dive on several more companies per year\n\n✅ Catch red flags early during due diligence (like Frank’s list of fake usernames) to potentially save millions\n\n✅ Search through a database of every company your firm has seen, to find comparables across your entire knowledge base\n\n✅ Get AI-enhanced insights to make better data-driven investment decisions\n\n### \n\n### **👋 Ask: How you can help**\n\n* If you’re an **investor** looking to improve your due diligence process, we’d love to share how Dili can help you. [Book a demo here.](https://calendly.com/steph_dili/30min)\n* If you are a **startup** planning to fundraise soon, we could help make this process easier. [Contact us here.](https://mailto:sales@diliai.com?subject=Connecting%20you%20to%20Dili)\n* Please share this post, and follow along on [LinkedIn](https://www.linkedin.com/company/dili-ai/) & [Twitter](https://twitter.com/dili_ai)! 🧿",
        "url": "https://www.ycombinator.com/launches/J1e-dili-accelerating-due-diligence-with-ai",
        "votes": 76,
        "created_at": "2023-07-17T15:57:36.172Z"
      }
    ]
  },
  {
    "id": 29093,
    "name": "Roame",
    "slug": "roame",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7f2575793e5340c7b238109e6ddb277c072e9469.png",
    "website": "https://roame.travel/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Roame is flight search engine design for credit card points and miles. We help travelers redeem their points for dream vacations in seconds rather than days.\r\n\r\nAt Roame, we are on a mission to revolutionize travel and consumer finance. We stand at the intersection of travel tech and fintech.",
    "one_liner": "Flight search engine using credit card points and miles",
    "team_size": 3,
    "industry": "Consumer",
    "subindustry": "Consumer -> Travel, Leisure and Tourism",
    "launched_at": 1685728226,
    "tags": [
      "SaaS",
      "Travel",
      "Airlines",
      "Consumer Finance",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
      "Consumer",
      "Travel, Leisure and Tourism"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/roame",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/roame.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/roametravel/",
    "x_url": "https://twitter.com/roametravel",
    "fb_url": "https://www.facebook.com/groups/roame/",
    "cb_url": "https://www.crunchbase.com/organization/roame-travel/",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7f2575793e5340c7b238109e6ddb277c072e9469.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
    },
    "founders": [
      {
        "user_id": 1214689,
        "full_name": "Tim Qin",
        "title": "Founder",
        "founder_bio": "Tim is the co-founder & CEO of Roame (S23). Over the last few years, he has invested billions of dollars in internet travel and financial services companies while working at UBS Asset Management, Fidelity, and Affiliated Managers Group. Tim started his career as an engineer at Lockheed Martin.\n\nTim received an MBA from Harvard Business School and a BS in Operations Engineering from Columbia University.\n\nFor investment inquiries: tim@roame.travel",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/timqin",
        "x_url": "https://x.com/timtqin",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9ea315bcec594efab1aebbb631ddc3c0e974cb37.jpg"
      },
      {
        "user_id": 39955,
        "full_name": "Zi Liu",
        "title": "Founder",
        "founder_bio": "Zi (CTO) ran all of Airbnb’s encryption services, creating and managing billions of cryptographic requests from payments vaulting to healthcare data. He started his career in Machine Vision AI processing at the Department of Defense in Oak Ridge. Zi studied computer science at Dartmouth.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/ziyuanliu",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d58a5fd7d90138ce06e5edb6879d7d13cc057c53.jpg"
      }
    ],
    "jobs": [
      {
        "id": 102290,
        "title": "Founding Growth Lead",
        "url": "https://www.ycombinator.com/companies/roame/jobs/zIcqBhL-founding-growth-lead",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$100K - $150K",
        "equity_range": "0.10% - 0.50%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 102742,
        "title": "Lead Full-Stack Engineer ",
        "url": "https://www.ycombinator.com/companies/roame/jobs/mqqfa38-lead-full-stack-engineer",
        "location": "US / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$175K - $250K",
        "equity_range": "0.50% - 2.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 103197,
        "title": "Content Systems Builder / Editor",
        "url": "https://www.ycombinator.com/companies/roame/jobs/KuVVqSh-content-systems-builder-editor",
        "location": "US / Remote (US)",
        "type": "Contract",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$40K - $80K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 111233,
        "title": "Marketing & Partnerships Lead",
        "url": "https://www.ycombinator.com/companies/roame/jobs/qm0TNqs-marketing-partnerships-lead",
        "location": "San Francisco, CA, US / Remote (US)",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$100K - $160K",
        "equity_range": "0.10% - 0.50%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 72364,
        "title": "✈️ Roame - Google Flights using points & miles",
        "tagline": "Maximize the value of your credit card points and miles with the best-in-class award travel search engine",
        "body": "### **TL;DR:**\n\nAt [**Roame**](https://roame.travel/), our goal is to help you maximize the value of your credit card points and miles while reducing the work needed by 100x. \n\nCredit card points and miles have become so widespread that it’s essentially an $100+ billion asset class. Yet, the process to redeem those points for outsized-valued flights is quite convoluted. Everyone wants to redeem an international first class ticket for 70K points, but few know how and the process can take up to 30 hours to fully optimize. Experts know the tricks of redeeming points, but most people, including frequent flyers, do not.\n\n### **⭐️ Team**\n\n![uploaded image](/media/?type=post&id=72364&key=user_uploads/1214689/fde7241e-261f-4e2e-8376-0834cd643e38)\n\nOur First Class Japan Airlines flight from Tokyo to San Francisco, booked for just 70K miles each using [**Roame**](https://roame.travel/)!\n\n[**Tim Qin**](https://www.linkedin.com/in/timqin/) **(CEO)** is a points and miles geek. He spent the last 10 years as a successful investor and operator in internet travel, financial services, and ad-tech companies, earning more than a hundred million for clients.\n\n[**Zi Liu**](https://www.linkedin.com/in/ziyuanliu/) **(CTO)** is a full-stack software engineer. He was most recently in charge of Airbnb’s encryption services, creating and managing billions of cryptographic requests.\n\n### **❌ Problem**\n\n1. **Data** access is limited and fragmented for points redemptions. What you find on the travel portals are oftentimes not the best deals.\n2. **Time-consuming** to find flights and hotels to book using points. Can take up to 30 hours per trip to search across multiple loyalty programs to take advantage of complicated award redemption rules and that’s just for 1 ticket.\n3. **Underutilization** of points and miles leading to dissatisfaction and churn. Chase / Amex portals allow customers to book flights using points-to-cents value on a 1:1 to 1:1.5 ratio, whereas the true value of points can only be realized through airline partner transfers where users can find points-to-cents value ratio up to **1:25**!\n\n### **✨ Solution**\n\nWe built [Roame](https://roame.travel/) as the best-in-class award flight search engine, supporting 12 airline loyalty programs and delivering results in  seconds. We even one-up Google Flights by allowing you to search from multiple origin and destination airports including entire states, countries, and even continents.\n\n![uploaded image](/media/?type=post&id=72364&key=user_uploads/1214689/673c55d7-864f-406b-b298-6dfdee20e42c)\n\nWe currently search for points redemption availability across these 12 airline programs and their partners airlines (180+):\n\n 1. AeroMexico Club Premier\n 2. Air Canada Aeroplan\n 3. Air France / KLM Flying Blue\n 4. Alaska Mileage Plan\n 5. American Airlines AAdvantage\n 6. Avianca Lifemiles\n 7. Delta SkyMiles\n 8. Emirates Skywards\n 9. Iberia Plus\n10. Jetblue TrueBlue\n11. United Airlines MileagePlus\n12. Virgin Atlantic Flying Club\n\n### **🙏 Asks**\n\n* **Sign up** for [**Roame**](https://roame.travel/) and search for **free**! Would love feedback or suggestions on how we can make Roame better serve your points journey.\n* Connect us with **credit card issuers** (Chase, American Express, Citi, Capital One, Wells Fargo, etc.), **networks** (Visa, Mastercard, etc.), **personal finance gurus/apps** (CreditKarma, NerdWallet, CreditSesame, etc.), and **travel bloggers/content writers**.\n\nMaximize the value of your points and miles with [Roame](https://roame.travel/) ✈️\\\nYou can follow us on [Instagram](https://www.instagram.com/roame.travel/) or [Twitter](https://twitter.com/roametravel). You can also reach us at [founders@roame.travel](mailto:founders@roame.travel).",
        "url": "https://www.ycombinator.com/launches/IpA-roame-google-flights-using-points-miles",
        "votes": 461,
        "created_at": "2023-06-19T15:25:11.058Z"
      }
    ]
  },
  {
    "id": 29101,
    "name": "Cargo",
    "slug": "cargo",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d0d8cb5eeb1f59caf6bbe0cc250f3653dd62358d.png",
    "website": "https://getcargo.io",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "We’re redefining how teams execute GTM by making them leaner, faster and engineer-driven. In an AI-first world, we’re replacing SDR-heavy models with a hybrid approach, empowering full-cycle AEs through a blend of manual effort and automation.\r\n",
    "one_liner": "Build your GTM workforce",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Sales",
    "launched_at": 1687355301,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
      "B2B",
      "Sales"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Fully Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/cargo",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/cargo.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/cargo-hq",
    "x_url": "https://twitter.com/cargo_hq",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d0d8cb5eeb1f59caf6bbe0cc250f3653dd62358d.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
    },
    "founders": [
      {
        "user_id": 1182415,
        "full_name": "Aurelien Aubert",
        "title": "Founder",
        "founder_bio": "+10y of experience in data & growth engineering - ex Spendesk (french unicorn)",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/auree",
        "x_url": "https://twitter.com/aureeaubert",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/43da9aba44d8b087c2ba4472af630b1cc228c1c1.jpg"
      },
      {
        "user_id": 1206264,
        "full_name": "Maxence De Villepion",
        "title": "Founder",
        "founder_bio": "10 years xp in generating revenue for fast-growing companies (among them: 2 unicorns: Ledger and Spendesk)",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/tshaped-marketer",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ec15742e5a1e22291cad9147047f13508fda5538.jpg"
      }
    ],
    "jobs": [
      {
        "id": 72406,
        "title": "Senior Product Engineer",
        "url": "https://www.ycombinator.com/companies/cargo/jobs/frqAMJ9-senior-product-engineer",
        "location": "San Francisco, CA, US / Paris, Île-de-France, FR / Remote",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $200K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "Will sponsor",
        "skills": [
          "Node.js",
          "React",
          "TypeScript"
        ]
      },
      {
        "id": 73989,
        "title": "Founding AE",
        "url": "https://www.ycombinator.com/companies/cargo/jobs/hLc670b-founding-ae",
        "location": "San Francisco, CA, US / Remote",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$100K - $150K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 105579,
        "title": "Sales Development Representative",
        "url": "https://www.ycombinator.com/companies/cargo/jobs/dIqe5jd-sales-development-representative",
        "location": "San Francisco, CA, US / Remote (US)",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$65K - $100K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 72778,
        "title": "🚢 Cargo, the revenue architecture for modern teams",
        "tagline": "Easily segment, score and route leads to turn pipeline into revenue",
        "body": "### **tl;dr**\n\nCargo is the first revenue architecture built for modern teams. We help revenue teams to access their company data and automate their sales operations. We provide a headless interface to enable them to easily segment, score and route leads to turn pipeline into revenue.\n\n![uploaded image](/media/?type=post&id=72778&key=user_uploads/1182415/4de69132-aa36-4e7e-9574-a34127936fa2)\n\nSalut 🇫🇷, we are Aurelien and Max, 2 passionated people about data and go-to-market with more than 10+ experience. We previously met at Spendesk where we used to built together the revenue engine in house, feeding more than 200 sales on autopilot, in our 3 different markets and bringing the meeting booked rate from 5% to 15%.\n\n### **All in one CRM are dead**\n\nOver the past years, the number of tools used by revenue teams have increased significantly. Sales/marketing/finance data and workflows exist in disparate systems and share different definitions.\n\n5 years ago, companies started to invest a lot in data tools (like Dagster, reverseETL, DBT) to consolidate these fragmented data and build their revenue source of truth in Snowflake instead of Salesforce.\n\nHowever, the modern data stack has made revenue teams more than ever dependent from data teams. This ended up creating too technical and unmaintainable revenue workflows.\n\nToday, and especially in this downturn period, companies are looking do more with less. The future belongs to compounds softwares. RevOps teams need to unify their operations in one place without compromising the flexibility.\n\n![uploaded image](/media/?type=post&id=72778&key=user_uploads/1182415/a22f9668-bd79-4c62-ad66-ff9a43bce097)\n\n### **The opportunity**\n\nIn today’s reality, 80% of SaaS companies offer a sales-driven customer approach. Even with the new hype of PLG as a GTM motion, there is more than never a need to prioritize on which accounts the sales reps should focus their energy.\n\n**Current systems don’t solve marketing and sales alignment**\n\nFor years, the alignment of sales and marketing has been somewhat of a mythical beast in the business world, eluding even the best of us. Companies still have disparate data leading to disconnected customer journeys. Cargo serves as the glue between your revenue stack, so you can easily orchestrate [Allbound strategy](https://www.linkedin.com/posts/tshaped-marketer_allbound-sales-realbuyerjourney-activity-6982722735391006721-K7LQ?utm_source=share&utm_medium=member_desktop) _(ie: coupling inbound & outbound approaches)._\n\n![uploaded image](/media/?type=post&id=72778&key=user_uploads/1182415/e75a4042-59a5-4e5b-9028-8847c1c139f8)\n\n**Current systems don’t make sales rep more efficient**\n\nSales spend only 1/3 of their time selling: the [Salesforce State of Sales 5th edition](https://www.salesforce.com/content/dam/web/en_gb/www/pdf/state-of-sales-5th-edition.pdf) study reveals that Sales reps spend only 28% of their week actually selling. This is a sobering statistic in an era where AI and automation are advancing at a rapid pace. Cargo automates the entire pre-sales journey (waterfall enrichment, data verification, lead prioritization, account assignment & routing to sales sequences + write AI powered sales notes to let sales reps drive meaningful conversation with prospects) and follow the boom of revenue operations.\n\n![uploaded image](/media/?type=post&id=72778&key=user_uploads/1182415/d8e865f3-63f2-48d1-9221-50e846f0c3f6)\n\nThe revenue operations market is considered currently as the fastest growing market and is projected to be multiplied by 3 in 2028.\n\n### **The solution**\n\nWe designed Cargo by getting the most out of unbundling and bundling architectures. Cargo sits directly on top of your company data. We built a set of features to allow revOps teams to easily manage their revenue data & workflows.\n\n**Setup your system of record**\n\n![uploaded image](/media/?type=post&id=72778&key=user_uploads/1182415/639d1103-fb26-4c5b-baf8-99e73d435c03)\n\nKeep the control and flexibility of your data. Your data warehouse is used as the backend of Cargo and data are never stored on our side. Easily leverage the data models built by your data teams and connect them to your revenue sources.\n\n**Define your business entities**\n\n![uploaded image](/media/?type=post&id=72778&key=user_uploads/1182415/09b5b961-2b09-4126-a5d5-09290eef9087)\n\nBe versatile by defining the entities that make sense for your business or use cases. PLG or SLG, Inbound or Outbound, Fintech or Ecommerce, …\n\n**Create your segments**\n\n![uploaded image](/media/?type=post&id=72778&key=user_uploads/1182415/a73a418a-2690-4a08-a968-2ef51ddb442c)\n\nCreate segments without writing any lines of SQL\n\n**Build and deploy your workflows**\n\nOrchestrate your prospect and customer journeys to systematize your sales process and ensure sales reps are loaded up with qualified accounts at scale.\n\n![uploaded image](/media/?type=post&id=72778&key=user_uploads/1182415/9604c20f-6593-4047-bcd6-966227970d91)\n\n## **Asks**\n\n* If you want to grow your pipeline and get more revenue with the same resource, [book a demo with us](https://calendly.com/max-growth/30min) directly and we’ll get you a VIP onboarding asap.\n* Connect us to CRO, Sales ops / Rev ops leaders in your network.\n\n### **Stay in the loop**\n\n* Sign up on <https://getcargo.io>\n* Check our [Changelog](http://changelog.getcargo.io) and [Documentation](https://docs.getcargo.io)\n* Follow us on [Linkedin](https://www.linkedin.com/company/cargo-hq)",
        "url": "https://www.ycombinator.com/launches/Ivq-cargo-the-revenue-architecture-for-modern-teams",
        "votes": 83,
        "created_at": "2023-07-05T16:48:16.967Z"
      }
    ]
  },
  {
    "id": 29104,
    "name": "Shadeform",
    "slug": "shadeform",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7a846e62f95a076c15722c84a203afd1fccb34a5.png",
    "website": "https://www.shadeform.ai/",
    "all_locations": "",
    "long_description": "Teams struggling with GPU availability use our platform to unlock capacity immediately for their growing AI workloads. Shadeform has a unified, easy-to-use API and platform to access and provision GPUs and deploy models for inference to any provider. With our aggregated availability and pricing data, we can help ensure your on-demand inference and training jobs will run on time at optimal cost.",
    "one_liner": "The GPU Cloud Marketplace",
    "team_size": 11,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1689812081,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "regions": [
      "Unspecified"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/shadeform",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/shadeform.json",
    "year_founded": 2023,
    "city": null,
    "country": null,
    "linkedin_url": "https://www.linkedin.com/company/shadeformai/",
    "x_url": "https://twitter.com/shadeformai",
    "fb_url": null,
    "cb_url": null,
    "github_url": "https://github.com/shadeform",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7a846e62f95a076c15722c84a203afd1fccb34a5.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
    },
    "founders": [
      {
        "user_id": 1212177,
        "full_name": "Ed Goode",
        "title": "Founder",
        "founder_bio": "CEO @ Shadeform. SWE with experience building distributed systems, compute orchestrators, and NLU & NLP services. Building a single control plane for the GPU market.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/ed-goode",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fcb96378f379623f478f11ea6d2f3be3b3c68990.jpg"
      },
      {
        "user_id": 430762,
        "full_name": "Ronald Ding",
        "title": "Founder",
        "founder_bio": "CTO @ Shadeform. Former engineer and TL at Robinhood, AWS, and Microsoft working on large scale, distributed infrastructure.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/ronaldding",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1deaec552b7f744f94d76b79ae296d69016a5577.jpg"
      }
    ],
    "jobs": [
      {
        "id": 74148,
        "title": "Founding Sales",
        "url": "https://www.ycombinator.com/companies/shadeform/jobs/ZBDwwU6-founding-sales",
        "location": "San Francisco, CA, US / Remote (US)",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$125K - $300K",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 74149,
        "title": "Founding (Senior) Software Engineer",
        "url": "https://www.ycombinator.com/companies/shadeform/jobs/2sDkjnk-founding-senior-software-engineer",
        "location": "San Francisco, CA, US / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$150K - $190K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 74159,
        "title": "Chief of Staff & Automation Lead",
        "url": "https://www.ycombinator.com/companies/shadeform/jobs/u71t9AV-chief-of-staff-automation-lead",
        "location": "San Francisco, CA, US / Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$100K - $160K",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
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    ],
    "news": [],
    "launches": [
      {
        "id": 73251,
        "title": "Shadeform: Unifying ML infra across clouds - solving for the GPU shortage",
        "tagline": "When companies need GPUs, they use Shadeform to access and deploy their workloads to any GPU provider with our unified compute platform and APIs.",
        "body": "**TLDR:** Teams struggling with GPU availability use Shadeform to **unlock capacity immediately for their growing AI workloads**. Shadeform has a unified, easy-to-use API and platform to access and deploy GPU workloads to any provider. With our aggregated availability and pricing data, we can guarantee inference and training jobs will run on time at optimal cost.\n\n## **The Team**:\n\nWe are Ronald, Ed, and Zach (pictured in order)! We have built and operated critical cloud infrastructure services at AWS and Azure and know the pain of infra management as customers at Robinhood and Capital One. Our goal is to make multi-cloud ML infra simple and easy to use.\n\n![uploaded image](/media/?type=post&id=73251&key=user_uploads/1212177/989a4bdc-3ed1-4937-a76b-9e7f41496b3d)\n\n## **The Problem**: GPU Cloud Availability Shortage\n\n* **Explosion in ML training and inference** demands has resulted in massive GPU shortages; it's difficult and expensive to get GPUs on AWS, GCP, and Azure\n* **Smaller cloud providers are coming online** but have unstable capacity, disparate interfaces, and non-standard OS images preventing companies from adopting at scale\n\n## **The Solution**: Unified Platform for All GPU Providers\n\nShadeform allows you to deploy your inference and training jobs to any cloud provider. We have aggregated all providers, so you can launch your workloads anywhere with our platform and generalized APIs.\\\nWith Shadeform you can:\n\n* Manage GPU instances on every provider with a single control plane\n* Receive notifications, view pricing, and configure auto-reservations when the machines you need are available\n* One click deploy and SSH into machines with any provider\n* Use a unified, simple API\n\n### Deploy Anywhere\n\n![uploaded image](/media/?type=post&id=73251&key=user_uploads/1212177/d4dcc424-a5d6-4583-a5c4-b0d83aa51d71)\n\n### Notify and Auto-Reserve\n\n![uploaded image](/media/?type=post&id=73251&key=user_uploads/1212177/771abd62-79ff-477f-8f69-edd5da8ce8ed)\n\n## **The Goal**: Unify ML Infra Across Clouds\n\nWe are building towards a future where teams are never blocked by their current provider’s GPU capacity and features.\n\n## **The Ask**: Reach out today to access our platform: <https://shadeform.ai>\n\nWe’d love to integrate you with all GPU providers and provide you access to the machines you need, when you need them! Contact us at [founders@shadeform.ai](mailto:founders@shadeform.ai).",
        "url": "https://www.ycombinator.com/launches/J3T-shadeform-unifying-ml-infra-across-clouds-solving-for-the-gpu-shortage",
        "votes": 92,
        "created_at": "2023-07-20T02:31:18.973Z"
      }
    ]
  },
  {
    "id": 29108,
    "name": "Giga",
    "slug": "giga",
    "former_names": [
      "Giga",
      "Giga ML"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fb8d37a891f8bcff52ba067cc273aab648732435.png",
    "website": "https://giga.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "",
    "one_liner": "AI Support Agent for Enterprises.",
    "team_size": 30,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1689858919,
    "tags": [
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Growth",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/giga",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/giga.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://linkedin.com/company/giga-ai",
    "x_url": "https://twitter.com/gigaml",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/fb8d37a891f8bcff52ba067cc273aab648732435.png",
    "app_video_url": null,
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    "company_photos": [
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    ],
    "primary_partner": {
      "name": "Harj Taggar",
      "url": "https://www.ycombinator.com/people/harj-taggar"
    },
    "founders": [
      {
        "user_id": 1381270,
        "full_name": "Esha Dinne",
        "title": "Founder",
        "founder_bio": "Hi, I'm Esha, I am currently CTO of Giga ML and an IIT Kharagpur CS'23 grad, where I ranked 3rd institute-wide. Before Giga ML, I was a systems engineer intern at Quadeye Securities and led the Math Club at IIT. Off work, I watch anime and read novels.\n",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/esha-manideep-ba112a218",
        "x_url": "https://twitter.com/eshamanideep",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7a266232fda36f51f279943fe4fcaab81729b7e5.jpg"
      }
    ],
    "jobs": [
      {
        "id": 76266,
        "title": "Senior Technical Recruiter",
        "url": "https://www.ycombinator.com/companies/giga/jobs/LyWOqTx-senior-technical-recruiter",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Recruiting & HR",
        "role_type": "Recruiting lead",
        "salary_range": "$150K - $220K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 80630,
        "title": "Software Engineer I / II - San Francisco",
        "url": "https://www.ycombinator.com/companies/giga/jobs/GAVxgkS-software-engineer-i-ii-san-francisco",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $250K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 88394,
        "title": "Staff Backend Engineer",
        "url": "https://www.ycombinator.com/companies/giga/jobs/q2UE9JO-staff-backend-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$180K - $500K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "Will sponsor",
        "skills": [
          "Amazon Web Services (AWS)",
          "Django",
          "Kubernetes",
          "Python"
        ]
      },
      {
        "id": 90083,
        "title": "Head of Product Marketing/Founding Growth Marketing",
        "url": "https://www.ycombinator.com/companies/giga/jobs/6TVJ2wZ-head-of-product-marketing-founding-growth-marketing",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$150K - $325K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 91597,
        "title": "HR Generalist / People Operations",
        "url": "https://www.ycombinator.com/companies/giga/jobs/enhDXgk-hr-generalist-people-operations",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$140K - $185K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "Giga: The AI Platform for Enterprise Support",
        "url": "https://www.youtube.com/watch?v=KmdN6OQ_PwE",
        "date": "Nov 06, 2025"
      },
      {
        "title": "Giga raises $61 million to expand enterprise voice AI, starting with DoorDash | Fortune",
        "url": "https://fortune.com/2025/11/05/voice-ai-giga-raise-61-million-customer-service-series-a",
        "date": "Nov 05, 2025"
      },
      {
        "title": "GigaML Raises $3.6M To Help Enterprises Build LLMs As Powerful As GPT4 | Entrepreneur",
        "url": "https://www.entrepreneur.com/en-in/news-and-trends/gigaml-raises-36m-to-help-enterprises-build-llms-as/464095",
        "date": "Oct 23, 2023"
      }
    ],
    "launches": [
      {
        "id": 74294,
        "title": "Giga ML's X1 Large 32k - The most powerful on-prem deployable model",
        "tagline": "Customized LLMs for Industry-specific needs. On-premise & secure.",
        "body": "We are announcing our first lineup of on-premise LLMs, X1 Large 8k, 32k — pre-trained and fine-tuned versions of llama2 70B, which are outperforming Claude 2 on the MT bench with a score of 8.1 vs 8. (White paper coming soon with performance on all the benchmarks.)\\\n\\\nX1 Large is available for further fine-tuning and pre-training. Try it out [here](https://chat.gigaml.com/) and let us know what you think!\n\n![uploaded image](/media/?type=post&id=74294&key=user_uploads/1381270/388aa2d4-9000-4e2a-97fe-5720c057c9b3)\n\n**The problems today:**\n\n1. **Pre-training:** Existing large language models (LLMs) lack the ability to pre-train on specific text data, hindering their effectiveness in specialized domains like healthcare, legal, and finance.\n2. **Fine-tuning:** The inability to fine-tune LLMs for specific output structures or forms restricts their adaptability in critical areas requiring tailored responses.\n3. **Privacy:** Organizations dealing with sensitive customer data face trust & compliance challenges when using third-party servers like OpenAI and Anthropic.\n\n**X1 Large:**\n\n* **Performance:** Achieves an MT bench score of 8.1, surpassing Claude 2 after fine-tuning and pre-training.\n* **Customization:** Our unique pre-training and fine-tuning capabilities provide unrivaled performance for industry-specific use cases.\n* **Security:** Offers secure on-premise deployment, ensuring data privacy for enterprises.\n* **State of the art RAG:** We’re partnering with [@Mano AI](https://usemano.com) to bring state of art RAG for on-prem deployment on your petabytes of data.\n\n**Our ask:**\n\nTry out out the demo [here](https://chat.gigaml.com/) with your prompt and let us know how it performed! Email us at [founders@gigaml.com](mailto:founders@gigaml.com) if you want fine-tuning and pre-training access in-cloud or on-premise.\n\n**_Coming soon:_**\n\nX1 Large Med: Continuing pre training on Medical data.\n\nX1 Large Law: Continuing pre training on entire law data base of all the countries.",
        "url": "https://www.ycombinator.com/launches/JKI-giga-ml-s-x1-large-32k-the-most-powerful-on-prem-deployable-model",
        "votes": 15,
        "created_at": "2023-08-22T01:51:37.233Z"
      },
      {
        "id": 73286,
        "title": "Giga ML: Secure on-premise LLMs for enterprises",
        "tagline": "We supercharge open-source LLMs to outperform GPT-4 for your use case.",
        "body": "**TL;DR🔖:** Giga ML is a platform to fine-tune and deploy open-source Large Language Models (LLMs) with features such as high-speed inference, secure on-premise deployment, and OpenAI API compatibility. Our platform provides a 70% cost reduction compared to GPT-4 API, 300% faster output delivery, and fine-tuning expertise garnered from 300+ experiments. We're inviting you to compare our fine-tuned model, X1 Chat, with Chat GPT at [**gigaml.co**](http://gigaml.co) and discover the benefits of custom fine-tuned models. Below is a screenshot of a very basic comparison:\n\n![uploaded image](/media/?type=post&id=73286&key=user_uploads/578920/25fd4cab-2c63-4130-8729-003e5110657c)\n\nHi there, we're [**@Esha Manideep Dinne**](https://www.linkedin.com/in/esha-manideep-ba112a218/) and [**@Varun Vummadi**](https://www.linkedin.com/in/varunvummadi/), co-founders of Giga ML! Today, we're excited to introduce our fine-tuning and deployment platform designed specifically for open-source Large Language Models (LLMs).\n\n**The Problem:🔍**\n\nDeploying and experimenting with open-source LLMs, such as the MPT and Llama models, is fraught with challenges. From the difficulty of fine-tuning for optimal performance to navigating intricate hyper parameters, the process is far from straightforward. On top of these technical hurdles, there's also the issue of privacy: data being processed on external servers like OpenAI's can lead to customers slipping through your fingers.\n\n**The Need:💡**\n\nCompanies require a robust and efficient way to fine-tune and deploy their models without compromising on speed, cost, or privacy. They also need to be able to support varying context lengths depending on their use case. Plus, in light of Ben Fishman's recent tech talk where he revealed that fine-tuned models perform better than GPT-4 for some companies, there's a clear demand for effective fine-tuning solutions.\n\n**The Solution:🚀**\n\nEnter Giga ML - the platform designed to take the stress out of fine-tuning and deploying LLMs. We've run over 300 experiments to perfect our process, and here's how we're tackling these issues:\n\n1️⃣ **Fine-tuning**: We've cracked the code to efficient model fine-tuning and are ready to share our expertise with you!\n\n2️⃣ **High-Speed Inference**: Experience faster responses with our solutions that deliver output tokens 300% faster than the GPT-4 API.\n\n3️⃣ **Privacy**: We offer secure on-prem deployments so your fine-tuned data can be processed on-premise, maintaining your clients' trust.\n\n4️⃣ **Cost Savings💰**: Spend 70% less compared to using the GPT-4 API with an 8k prompt. We support 4k, 8k, and 16k context lengths depending on your use case.\n\n5️⃣ **OpenAI API Compatibility**: No need to rewrite your code, our API integrates seamlessly with OpenAI's.\n\n**Our Request:🙏**\n\nWe're asking you to give Giga ML a try. Compare the performance of Chat GPT with our fine-tuned model, X1-Chat, at \\[[**gigaml.co**](http://gigaml.co)\\]. If you're struggling with the cost or privacy issues of GPT-4 or facing challenges with large prompts, we might just be the solution you're looking for! Please Fill this form for access [Google form](https://forms.gle/EnH3V9Z4JDfZuJQt5) \\\n\\\n**The Team:** 🤝\n\n[**@Esha Manideep**](https://www.linkedin.com/in/esha-manideep-ba112a218/) and I met each other in freshman year at IIT Kharagpur, and we just graduated college. I left my PhD offer at Stanford in CS and Esha left his job as a Systems Engineer at a High Frequency Trading Firm to work on Giga.\n\nLooking forward to serving your AI needs,\n\nEsha and Varun",
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        "id": 95610,
        "title": "Simbie AI: We get patients to their next appointment",
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        "body": "Hi YC, we’re [Natalia Khosla MD](https://www.linkedin.com/in/natalia-neha-khosla-md-01968334/) and [Rachel O’Driscoll](https://www.linkedin.com/in/rachel-o-driscoll-896b55147/) from Simbie AI.\n\n# TL;DR\n\nSimbie AI is the AI agents’ system for healthcare follow up, ensuring patients get to their next visit. Today 30% of return visits don’t happen because patients get lost in follow up logistics, costing doctors 10% of revenue. Our clinically intelligent, EHR-integrated AI agents proactively reach out to patients and answer their messages, via text and voice, at vulnerable touchpoints for loss to follow up - after new diagnoses, new meds, or diagnostic tests are ordered - and close the loop on every request, documenting directly in the medical chart, until the patient is handed off to their return visit.\n\n![uploaded image](/media/?type=post&id=95610&key=user_uploads/617488/45df86c7-1f4e-4f3e-b590-8ef0355dc7af)\n\n# Ask: Intros! [founders@simbie.ai](mailto:founders@simbie.ai)\n\n# <https://youtu.be/sobMtQJIwn0>\n\n# Problem: 30% of patients get lost in follow up and don’t make it to their next appointment\n\nNeeding to schedule diagnostic tests like bloodwork or imaging, getting a new med or diagnosis, or general confusion about how to accomplish next steps stop patients from getting there. This loses practices 10% of revenue. Medical groups and hospitals throw expensive people at the problem—sinking 20% of revenue on human staff to chase patients down manually.\n\n# Solution: EHR-integrated Clinical AI agents that see patient questions/barriers through to resolution\n\nBeyond reactively answering phones: Simbie AI proactively reach patients at vulnerable touchpoints and get them back on track, answering their responses and scheduling outreach (call & text) sequentially until loops are closed. \n\n# Accomplished To Date:\n\n* Grown 400X since launching in Jan 2025\n* Used 24/7 in practices across the country \n* 0% churn\n* 100% inbound, $0 CAC due to our unfair advantages: 1) quick trust-gaining of doctor-leadership as a doctor- and clinical operator-led team and 2) viral spread via physician peer-to-peer networks.\n\n# Team & Why:\n\nNatalia and Rachel met during their undergrad days at Yale and have been best friends for 15 years. We are a doctor and clinic operations strategist—this problem is what we each lived for 10 years.\n\n[Natalia Khosla MD MSc](https://www.linkedin.com/in/natalia-neha-khosla-md-msc-01968334/) is a physician from UChicago, Fulbright Scholar, and LSE master’s in health economics. As a doctor herself, and from a family of docs, she has advocated for doctos and their patients throughout her career, recognizing physician burnout and poor patient satisfaction are two sides of the same coin. AI was the turning point she’d been waiting for: infinitely scalable staff to handle the grunt work that depletes doctors and loses patients in the system: making sure no patient is ever lost to follow up again.\n\n[Rachel O’Driscoll](https://www.linkedin.com/in/rachel-o-driscoll-896b55147/) is a clinical ops and strategy veteran with a proven track record: she built Cayaba Care, a brick and mortar and digital health practice, ground-up. As the Ops leader and de facto practice manager overseeing medical assistants and front desk staff firsthand, she saw the inefficiency of human staffing. Before Cayaba, Rachel led private practice onboarding at Formation Bio and designed partnerships with practices at Carrot Fertility. Across all roles, she’s specialized in streamlining clinic operations, improving patient experience, and building scalable systems that support physician groups and health systems.",
        "url": "https://www.ycombinator.com/launches/Os6-simbie-ai-we-get-patients-to-their-next-appointment",
        "votes": 28,
        "created_at": "2025-11-19T20:10:40.668Z"
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        "id": 73955,
        "title": "Simbie AI - Clinically-intelligent AI Voice Agents for Healthcare",
        "tagline": "Our agents answer the phones, call patients, and are EHR integrated.",
        "body": "Hi! We’re Natalia Perina, Rachel O’Driscoll, and Natalia Khosla MD and we’re the founders of Simbie AI.\n\n**TL;DR**\n\n[Simbie AI](https://www.simbie.ai) is an AI voice agents platform for medical practices. Our agents answer practice phone calls, call patients and outside providers for practices, and integrate fully with the EHR.\n\n![uploaded image](/media/?type=post&id=73955&key=user_uploads/617488/e6eeeb33-fdb3-49f9-b10e-c05f7d3b8ea2)\n\n**The Problem: Doctors are overburdened with tasks that take them from their key work: medical decision making.**\n\nDuring medical training, Natalia Khosla identified firsthand the tasks in the overstretched medical workflow that were perfect cases for AI automation - not only administrative, but a step further: medical, clinical, and practice-of-medicine-changing. We apply these insights.\n\n**Our Solution: EHR-Integrated, Clinically Intelligent AI Voice Agents**\n\nOur agents work directly in practices’ EHRs, and are clinically trained to handle all tasks, administrative and beyond. They answer practice phone calls, complete relevant tasks in the EHR, call patients, and document appropriately.\n\n**Our Story & Team**\n\nOur team has been in healthcare for over 20 years combined. After collectively being friends, working together, and scheming about how to reshape healthcare for over 10 years (including as roommates at Yale and colleagues at TrialSpark), we decided to make waves. We are on a mission to leverage technology to expand care access and equity—helping providers practice how they prefer and improving quality of care. \n\n* [Natalia Khosla, MD, MSc](https://www.linkedin.com/in/natalia-neha-khosla-md-01968334/) is a physician who trained at the University of Chicago and a published author in a number of academic medical journals, with a career focus on innovation for health equity and quality—holding strongly that improving systems for the most marginalized improves quality for all. She received her master’s in Inequalities & Health Policy at the London School of Economics as a Fulbright Scholar.\n* [Rachel O’Driscoll](https://www.linkedin.com/in/rachel-o-driscoll-896b55147/) is a clinical operations expert with a decade of experience in high-growth healthcare startups, including launching and operating a tech-enabled OBGYN clinic at Cayaba Care, running US Operations at [Carrot Fertility](https://www.ycombinator.com/companies/carrot-fertility), and managing the Provider Network at TrialSpark.\n* [Natalia Perina](https://www.linkedin.com/in/natalia-perina-48918391/) is a healthcare technical leader, with over 5 years of experience in the space. At TrialSpark, she led the patient recruitment product and data teams to make faster and cheaper clinical trials. She most recently worked on improving public health analytics while at Ratio PBC.\n\n**Asks**\n\n1. Do you know medical practices looking to level up with AI voice agents? [Let us help them](https://founders@simbiehealth.com).\n2. Share this post and follow us on [LinkedIn](https://www.linkedin.com/company/simbie-health/?viewAsMember=true)!",
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        "created_at": "2023-08-09T17:03:17.423Z"
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        "date": "Oct 17, 2025"
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      {
        "title": "Mercer Island Women Leading Venture Capital",
        "url": "https://citylifestyle.com/articles/mercer-island-female-vcs-thankful-for-connection",
        "date": "Dec 18, 2024"
      },
      {
        "title": "Nowadays' Founders Share How $2 Million Will Help Further Develop Its AI",
        "url": "https://meetings.skift.com/2024/12/13/nowadays-founders-share-how-2-million-will-help-further-develop-its-ai/",
        "date": "Dec 13, 2024"
      }
    ],
    "launches": [
      {
        "id": 103278,
        "title": "Nowadays AI: AI-Native Platform for Corporate Meetings & Events",
        "tagline": "The AI-native platform that sources venues, negotiates contracts, and runs your entire corporate event, so your team just shows up",
        "body": "Hey everyone!! We're Anna and Amy, sisters, co-founders, and the people who used to manually call 20 hotels for a single offsite.\n\nWe launched Nowadays on YC S23 as an \"AI copilot for event planning.\" Two years later, we want to show you what we actually built :)\n\n![uploaded image](/media/?type=post&id=103278&key=user_uploads/1347384/709549e5-8a04-4b5c-8557-76886ff145a0)\n\n# **TL;DR**\n\nNowadays is the AI-native platform for corporate retreats and meetings. Tell us what you need: we handle venue sourcing, contract negotiation, room blocks, attendee logistics, and post-event reconciliation. Fortune 500 teams and fast-growing startups use Nowadays to run offsites they're proud of, without burning out their ops team.\n\n![uploaded image](/media/?type=post&id=103278&key=user_uploads/1347384/53908cc7-1f81-4c15-afe7-5e0f11b7ad59)\n\n# **The Problem**\n\nPlanning a corporate offsite is a second job nobody signed up for.\n\nYour EA or ops lead spends weeks cold-emailing hotels, chasing RFPs, deciphering hotel contracts, and manually tracking room blocks in spreadsheets, only to do it all over again next quarter.\n\nThe vendors in this space are slow and expensive. Many of our customers have said the same thing: \"I got paired with a planner worse than myself.\"\n\nThe result: overpriced venues, cancellation penalties nobody caught, and an ops team that's exhausted before the event even starts. And for most enterprises, 65% of meeting spend is completely unmanaged, buried in expense reports, booked by admins outside any system.\n\n# **Our Solution**\n\nNowadays replaces the entire event planning stack with one AI-native platform, backed by a team that actually executes on your behalf. You tell us what you need. We handle the rest. Your team just shows up.\n\n![uploaded image](/media/?type=post&id=103278&key=user_uploads/1347384/67abf2bb-7640-4684-9bbf-c2bfb3a85d4a)\n\n## **1. AI-powered venue sourcing**\n\nDescribe your event, dates, headcount, vibe, budget, and we generate a curated shortlist of venues with proposals in 24 hours, not weeks. We have relationships with 400K+ hotels globally and we're a certified IATA travel agency.\n\n![uploaded image](/media/?type=post&id=103278&key=user_uploads/1347384/cedeb56d-e591-4eed-a1f6-b75d1eabf9b5)\n\n## **2. Contract negotiation, handled**\n\nWe negotiate directly with venues on your behalf, pushing on room rates, F&amp;B minimums, attrition clauses, and cancellation terms. Our AI knows market rates from thousands of events and pushes back when hotels overcharge. Clients routinely save 20-30% vs. going direct.\n\n![uploaded image](/media/?type=post&id=103278&key=user_uploads/1347384/1156b34d-e9b9-4e1d-bc9a-7736a13901a9)\n\n## **3. Exclusive rates**\n\nWe aggregate demand across all our clients to secure rates individual companies can't get on their own.\n\n![uploaded image](/media/?type=post&id=103278&key=user_uploads/1347384/592bb426-c3e7-4457-ab13-860504f2fc0e)\n\n## **4. End-to-end logistics**\n\nRoom blocks, cutoff dates, rooming lists, supplier coordination, tracked in one place, managed by us. Nothing falls through the cracks while you're onsite.\n\n![uploaded image](/media/?type=post&id=103278&key=user_uploads/1347384/49563edb-1c99-4cc1-afbd-d590b691258f)\n\n## **5. Attendee registration and logistics**\n\nCustom registration forms, dietary needs, t-shirt sizes, room assignments, all in the platform. Your ops lead is not managing 12 spreadsheets.\n\n![uploaded image](/media/?type=post&id=103278&key=user_uploads/1347384/302d0f5a-5d1c-4b01-8cdc-32bffe7d01e8)\n\n## **6. Expert support**\n\nEvery client gets a dedicated Nowadays partner who knows your program, your preferences, and your budget. Our AI acts, and when you need a human, we're there.\n\n![uploaded image](/media/?type=post&id=103278&key=user_uploads/1347384/2afea73a-7a20-4209-b1b7-e2ded68d6a13)\n\n## **7. Post-event reconciliation**\n\nWe audit the final folio, catch billing errors, and close the loop financially. No more surprise charges two weeks after everyone's home.\n\n![uploaded image](/media/?type=post&id=103278&key=user_uploads/1347384/836fcdff-8837-4754-b447-cda95c651c11)\n\n## **Why we're different**\n\nEvery competitor you've heard of bolted AI onto infrastructure built decades ago. We built around AI from day one, which is why a small team can do at scale what legacy platforms need armies of account managers to do.\n\nOur AI calls venues in 22 languages, parses 50-page proposals into clean apples-to-apples comparisons, and routes every meeting through approval workflows, including the small ones EAs used to book on their own.\n\nOne Fortune 500 VP uncovered $18M in previously unmanaged meeting spend just by turning Nowadays on.\n\n# **Use Cases**\n\n* Quarterly offsites: for remote-first teams who need to meet all their new employees\n* Leadership retreats: for executive teams running strategic planning sessions\n* Sales kickoffs: with complex AV, F&amp;B, and multi-day programming needs\n* International group travel: we handle the complexity of multi-country logistics end to end\n\n# **Where We Are Now**\n\nWe work with companies ranging from ones planning one epic kickoff a year to ones running thousands of meetings through the platform annually. Clients include Google, Airbnb, BlackRock, Anthropic, Pylon, and Mintlify.\n\nWe've run retreats from San Diego to Thailand, from 20-person leadership offsites to 500+ person company kickoffs.\n\nWe won both judges' choice and people's choice at Business Travel Show America 2025 and Business Travel Show APAC 2026, the two biggest innovation competitions in corporate travel.\n\n# **Why Now**\n\nCorporate travel spend is back and growing. But the infrastructure for planning events hasn't caught up. Legacy travel companies are slow, opaque, and not built for the modern distributed workforce. We're rebuilding this from scratch with AI at the core and a team that treats every event like it's our own.\n\n# **We're growing!!**\n\nWe're hiring across the board for founding team members, engineers, operators, and account executives who want to work on a problem that's genuinely hard and unsolved, with a really fun team in San Francisco.\n\n![uploaded image](/media/?type=post&id=103278&key=user_uploads/1347384/6174eee6-ebce-4c88-8465-b443a7584c55)\n\nSee open roles: [nowadays.ai/careers](https://nowadays.ai/careers)\n\n# **Get started**\n\nBook a call: [meetings-na2.hubspot.com/amy-yan](http://meetings-na2.hubspot.com/amy-yan)\n\nEmail us: [events@nowadays.ai](mailto:events@nowadays.ai)\n\n![uploaded image](/media/?type=post&id=103278&key=user_uploads/1347384/ee979b76-ff7a-42cc-99f8-18f3034a7d95)\n\n",
        "url": "https://www.ycombinator.com/launches/Qrm-nowadays-ai-ai-native-platform-for-corporate-meetings-events",
        "votes": 6,
        "created_at": "2026-06-16T13:51:25.690Z"
      },
      {
        "id": 73488,
        "title": "🎉 Nowadays: AI copilot for event planning",
        "tagline": "Take the hassle out of organizing corporate events",
        "body": "Hi everyone! We’re Anna and Amy, sisters and co-founders of [Nowadays](https://www.getnowadays.com/).\n\n![uploaded image](/media/?type=post&id=73488&key=user_uploads/1374367/8abc167e-68ed-4057-ab7a-4f39e5f961ec)\n\n_From left to right:_\n\n[Anna](https://www.linkedin.com/in/annasun19): Software engineer from MIT, with PM & SWE experiences at DoorDash, Amazon, and Datadog. Organized events for 1300+ students as class president at MIT.\n\n[Amy](https://www.linkedin.com/in/amysunyan/): 7+ years in strategy & operations roles at Google, Meta, and McKinsey. Organized events for 2000+ students as class president at Johns Hopkins.\n\n### **🧨 The Problem**\n\nCorporate event planners are bombarded with endless calls and emails while planning events. Stressing over tight schedules, planners are paying for full-time assistants or tools that cost them $100,000+ a year.\n\nWhat if we could transform this time-consuming and expensive process, making it not just simple, but enjoyable and efficient?\n\n### **🙌🏼 The Solution**\n\nMeet [Nowadays](http://getnowadays.com/), the first AI co-pilot for event planning. Recover hours lost to manual, repetitive tasks, and spend time focusing on what really matters.\n\n**Here’s how it works:** Share event details, and we'll automatically reach out to venues and vendors, manage emails and calls, and stay within budget.\n\n![uploaded image](/media/?type=post&id=73488&key=user_uploads/1347384/482a0ef3-b7e2-4569-bd63-3e15548b608d)\n\n_Want a venue with an onsite golf course? Done ✅_\n\n_Activities within walking distance? Booked ✅_\n\n_Keeping your costs under a certain budget? You got it ✅_\n\nBut that’s not all. Our AI doesn't just offer a one-size-fits-all approach. It adapts to unique tastes and needs, providing a truly personalized event planning experience.\n\nWe're not just offering a tool; we're offering a smarter way to celebrate, connect, and create unforgettable moments.\n\n### **👋 Ask: How you can help**\n\n1. Know anyone planning corporate events (e.g. retreats, happy hours, holiday parties)? We’d love to speak to any event planners, office managers, or executive assistants about their day-to-day experiences. Send any leads to [founders@getnowadays.com](mailto:founders@getnowadays.com). 🙏\n2. Follow along on our journey [here](https://www.linkedin.com/company/getnowadays/)!\n\n### Transform the way you plan events with **Nowadays** **🚀**",
        "url": "https://www.ycombinator.com/launches/J7I-nowadays-ai-copilot-for-event-planning",
        "votes": 662,
        "created_at": "2023-07-27T14:15:04.307Z"
      }
    ]
  },
  {
    "id": 29120,
    "name": "Morph",
    "slug": "morph",
    "former_names": [
      "AutoInfra",
      "Lingtual",
      "innkeeper"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/dedc5ca68422aae62a4f58f3a0823d0903b71997.png",
    "website": "https://morphllm.com",
    "all_locations": "Columbus, OH, USA",
    "long_description": "Specialized inference, built for agent workloads\r\n\r\nFast Open-Source models: Kimi k3, Deepseek v4 flash, qwen 397b, at 200+ tps\r\nSpecialized models for applying edits, code search, compaction, and model routing",
    "one_liner": "Fast Models Optimized for Coding Agents",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1686706939,
    "tags": [
      "Developer Tools",
      "Generative AI",
      "API",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
      "B2B",
      "Infrastructure"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/morph",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/morph.json",
    "year_founded": 2025,
    "city": "Columbus",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/morphllm",
    "x_url": "https://twitter.com/morphllm",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/dedc5ca68422aae62a4f58f3a0823d0903b71997.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
    },
    "founders": [
      {
        "user_id": 405977,
        "full_name": "Tejas Bhakta",
        "title": "Founder",
        "founder_bio": "inference thats optimized for agents",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/tejas-bhakta",
        "x_url": "https://twitter.com/tejasybhakta",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c6f50e938c0f7e3a90a8e68bbcc0f5d615160f77.jpg"
      }
    ],
    "jobs": [
      {
        "id": 81462,
        "title": "Founding Account Executive",
        "url": "https://www.ycombinator.com/companies/morph/jobs/PSesvJB-founding-account-executive",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$80K - $140K",
        "equity_range": "0.50%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Growth design"
        ]
      },
      {
        "id": 102427,
        "title": "Member of Technical Staff",
        "url": "https://www.ycombinator.com/companies/morph/jobs/0Z8vI3K-member-of-technical-staff",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$180K - $350K",
        "equity_range": "0.40%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 108269,
        "title": "Kimi K3 on Morph: near-Fable performance at 1/5 the cost",
        "tagline": "Live on OpenRouter and Vercel's AI Gateway",
        "body": "Kimi K3 is now live on Morph.\n\n![uploaded image](/media/?type=post&id=108269&key=user_uploads/405977/9bf53656-3db4-42fe-92a9-48a4a412df40)\n\nMost open-weight models look promising in benchmarks, then fall apart in production: unreliable tool calls, weak long-context performance, or inconsistent outputs.\n\nGLM-5.2 and Kimi K3 are the first two I’ve tested that feel genuinely production-ready.\n\nIn our benchmarks, Kimi K3 approaches Fable-level performance at roughly half the cost of Opus. On Morph, it comes with:\n\n* 1M-token context\n* 90–200 output tokens/sec\n* Tool calling and structured outputs\n* OpenAI- and Anthropic-compatible APIs\n\nWe want to see how it performs on real workloads, not toy demos.\n\nIf you currently run Anthropic or OpenAI models in production, we’ll cover the cost of routing 5% of your production traffic to Kimi K3. Compare quality, latency, and cost against your existing model with minimal integration work.\n\nWe’d love brutally honest feedback: where it works, where it breaks, and what it would take for you to route more traffic to it.\n\nTry it here: <https://docs.morphllm.com/sdk/components/fast-models>\n\nComment or DM me if you want us to fund your production test.\n\n![uploaded image](/media/?type=post&id=108269&key=user_uploads/405977/cd809dfe-c7e5-406f-9707-f7c250c7113a)\n\n",
        "url": "https://www.ycombinator.com/launches/SAH-kimi-k3-on-morph-near-fable-performance-at-1-5-the-cost",
        "votes": 2,
        "created_at": "2026-07-29T06:05:58.276Z"
      },
      {
        "id": 104095,
        "title": "Reflexes API: Catch what agent logs miss",
        "tagline": "Most Agent failures are behavioral. Catch them at scale ",
        "body": "Behavioral observability for AI agents, built and priced to run on millions of production turns.\n\nMost agent failures don’t show up as errors.\n\n![uploaded image](/media/?type=post&id=104095&key=user_uploads/405977/00b2cef4-ce0d-4a93-a145-0209d28eb3a6)\n\n\nThe API returns 200.\\\nThe tool call succeeded.\n\nBut the agent is looping. The user is frustrated. A jailbreak slipped through. The answer technically completed, but the experience failed.\n\nThat is the problem Reflexes solves.\n\nReflexes are fast classifiers that run on every turn of every agent conversation and catch the behavioral signals normal observability misses:\n\n* user frustration\n* infinite loops\n* jailbreak attempts\n* refusals\n* hallucinations\n* task failures\n* policy violations\n* custom signals specific to your product\n\nTraditional observability tells you when software breaks. Reflexes tells you when the agent experience breaks.\n\nThe reason this has not worked before is cost and latency. Frontier-model LLM-as-judge is fine for offline evals, but it is too slow and expensive to run across production traffic.\n\nReflexes are built and priced to run at scale: millions of turns, inline, across 100% of production conversations.\n\nUnder the hood, Reflexes uses a shared backbone with many small heads, so multiple behavioral signals can run on the same conversation without multiplying latency or cost.\n\nYou can use our default reflexes out of the box, or train a custom reflex for the failure modes that matter to your agent.\n\nWe built this after working with production agent teams and seeing the same pattern repeatedly: agents usually fail long before they throw an error.\n\nThey fail in the behavior.\n\nTry Reflexes: <https://www.morphllm.com/products/reflex>",
        "url": "https://www.ycombinator.com/launches/R4x-reflexes-api-catch-what-agent-logs-miss",
        "votes": 5,
        "created_at": "2026-06-27T14:31:15.899Z"
      },
      {
        "id": 98898,
        "title": "FlashCompact: A specialized model for context compaction",
        "tagline": "33k tok/sec context compaction for coding agents",
        "body": "We built **FlashCompact** because context compaction is one of the most broken parts of modern coding agents.\n\nRight now, compaction is:\n\n* slow (often 2+ minutes)\n* lossy (kills useful context)\n* expensive (wastes tokens and steps)\n\nSo people avoid it… and agents degrade over time.\n\n---\n\n![uploaded image](/media/?type=post&id=98898&key=user_uploads/405977/77e4cb4f-c326-4f2b-8602-2aca1e0fa9c3)\n\n\n### What we built\n\nA **specialized model for context compaction**:\n\n* **33,000 tokens/sec throughput**\n* **200k → 50k tokens in \\~1.5s**\n* Designed specifically for agent workflows, not general summarization\n\nCompaction should feel invisible. This actually does.\n\n---\n\n### Why this matters\n\nWe analyzed **200+ real agent sessions** across **40+ top coding agent harnesses**.\n\nThe core insight:\n\n> Most context bloat comes from tool responses, not model generation.\n\nThat means naive summarization fails, because it compresses the wrong things.\n\nFlashCompact:\n\n* removes redundant tool output\n* preserves execution-relevant state\n* reduces context without hurting task performance\n\nResult:\n\n* no performance drop\n* fewer tokens\n* fewer steps\n\n---\n\n### The deeper point\n\nAgents don’t fail because models are weak.\n\nThey fail because their **context degrades over time**.\n\nIf you want agents to:\n\n* run longer\n* take more steps\n* stay coherent across complex tasks\n\nYou need **clean, compressed context**.\n\n<https://docs.morphllm.com/sdk/components/compact>",
        "url": "https://www.ycombinator.com/launches/Pj8-flashcompact-a-specialized-model-for-context-compaction",
        "votes": 6,
        "created_at": "2026-03-18T14:42:28.223Z"
      },
      {
        "id": 98329,
        "title": "WarpGrep v2: Code Search Subagent -> #1 on SWE-Bench Pro",
        "tagline": "Code search limits coding capabiltiies. Moving it out to a specialized model wins.",
        "body": "### WarpGrep v2 is a fast code search subagent that works via parallel tool calls. Runs up to 36 grep/read tool calls in under 5s.\n\n![uploaded image](/media/?type=post&id=98329&key=user_uploads/405977/ba17c624-92ca-4502-8c56-00c22e31ad4e)\n\n### SWE-Bench Pro: WarpGrep v2\n\n#### Scores\n\n* Opus 4.6 → 55.4\n* GPT-5.3 Codex → 56.0\n* MiniMax 2.5 → 55.4\n* Opus 4.6 + WarpGrep → **57.5** (**+2.1**)\n* Codex 5.3 + WarpGrep → **59.1 (+3.1)**\n* MiniMax 2.5 + WarpGrep → **57.6** (**+3.7**)\n\n#### Efficiency\n\nTokens:\n\n* Input tokens: **\\~17% less** (Opus, Codex, MiniMax, etc..)\n* Output tokens: **13% less** (fewer turns)\n\nTurns (MiniMax):\n\n* Avg turns per task: **157 → 135**\n\nRuntime (Opus):\n\n* Opus 4.6: **518s**\n* Opus 4.6 + WarpGrep: **545s**\n* **178s saved** (**12% faster**)\n\nCost (Opus):\n\n* Opus 4.6: **$3.06**\n* Opus 4.6 + WarpGrep: **$2.51**\n* **$0.55 saved** (**15.6% cheaper**)\n\n#### TLDR\n\nWarpGrep v2 raises SWE-Bench Pro scores (**+2.1 Opus**, **+3.7 MiniMax**) while using **\\~17% fewer input tokens**, **13% fewer turns**, running **12% faster**, and costing **15.6% less**. The median WarpGrep codebase search takes 5s end to end compared to 75s for the Claude Code Explore subagent\n\nOn normal usage on production repos these numbers improve across the board \\~40% faster\n\n\\\ninstall it in your favorite coding agent here <https://www.morphllm.com/mcp>\n\nor integrate it into your product here <https://docs.morphllm.com/sdk/components/warp-grep/tool>",
        "url": "https://www.ycombinator.com/launches/PZx-warpgrep-v2-code-search-subagent-1-on-swe-bench-pro",
        "votes": 4,
        "created_at": "2026-03-02T15:39:58.078Z"
      },
      {
        "id": 95846,
        "title": "WarpGrep: A 20x faster subagent to grep for code",
        "tagline": "50% faster than Cognition's SWE-grep - improve Claude Code or Codex via MCP ",
        "body": "**Problem**\\\nCoding agents don’t feel fast because they aren’t.\n\nIn our benchmarks, agents spend **60%+ of their time searching for the right code**, not generating any. They why they do more than you want, and break developer flow.\n\nThe bottleneck isn’t “agent intelligence.”\\\nIt’s **speed, context retrieval** and the **irrelevant code** that gets shoved into the prompt.\n\nMost agent stacks today are basically **sequential grep pipelines**:\n\n1. Ask the model where to look\n2. Call a tool\n3. Read output\n4. Repeat 10–20x\n\nIt’s slow, noisy, and compounds latency every step.\n\nWarpGrep is built to do that dirty job correctly and fast.\n\n**Our Insight**\n\n\\*\\*We value human attention.\\*\\*\\\nYou can’t build responsive coding agents until retrieval is treated as its own learning and inference optimization problem.\\\nWe optimized for a simple goal: keep both the developer and the agent inside the sub-10-second “flow window.” Anything slower and usage collapses.\n\n**What we built**\\\nWarpGrep is an RL-trained retrieval model designed specifically to be used as a tool by a coding agent. It operates under a strict budget:\n\n![uploaded image](/media/?type=post&id=95846&key=user_uploads/405977/cbc2f17d-1ff9-4d7c-bfa1-38d3d36b3ac7)\n\n* Up to eight parallel tool calls per turn (grep, glob, file read, semantic search)\n* A reward function that only cares about two things: did it fetch the correct files and did it hit the correct line ranges.\n\nWarpGrep is an expert at deciding what to grep, and what context is relevant for the task. That’s it. This combination reduces context rot by more than fifty percent in production and eliminates the “forty irrelevant files in your prompt” failure mode.\n\n**Performance**\\\nSWE-Grep runs at around 650 tokens per second on Cerebras.\\\nWarpGrep hits around 900 tokens per second on B200.\\\n\\\nWe worked closely with NVIDIA to optimize WarpGrep. CUDA gives us the stability and customization ability to push non-standard inference workloads for parallel search.\n\n![uploaded image](/media/?type=post&id=95846&key=user_uploads/405977/8e04cd3d-9646-4f25-a0f6-96d2a440471b)\n\n**RL Training**\\\nRL for MOEs is notoriously inefficient, so we built infrastructure to eliminate dead time:\n\n* Dedicated inference and training GPU pools, continuous rollout streaming to the trainer\n* Controlled policy staleness without collapsing effective sample size\n* Partial rollout interruption so slow sequences don’t stall sync\n* In-flight weight updates so vLLM workers ingest new weights mid-generation with only millisecond pauses\n\nThose optimizations delivered a 1.6 to 2.35 times training throughput boost with essentially no sample efficiency loss.\n\n**Why this matters**\\\nEvery company building coding agents is running into the same wall.\\\nOnce your agent touches a large codebase, retrieval dominates latency and derails reasoning.\\\nYou solve it by giving the agent a retrieval system that behaves like a specialist, not a bottleneck.\n\nIf you want an agent that actually performs on large codebases, doesn’t have crippling context rot, and stays within real-time latency, reach out!\n\nhttps://docs.morphllm.com/api-reference/endpoint/mcp\n\nhttps://docs.morphllm.com/sdk/components/warp-grep",
        "url": "https://www.ycombinator.com/launches/Ovu-warpgrep-a-20x-faster-subagent-to-grep-for-code",
        "votes": 17,
        "created_at": "2025-11-28T19:27:09.731Z"
      },
      {
        "id": 90352,
        "title": "Morph: The \"other models\" you need to build coding agents like Cursor",
        "tagline": "Instantly apply AI output into code and files (5000+ tok/sec). Build your own coding agents. ",
        "body": "**TLDR: Morph: the “other models” you need to build the best coding agents like Cursor and Windsurf.**\n\n**Retrieve and rerank code, stuff context, and apply edits to files FAST. Relevant context, fast applies, every time.**\n\n**Morph Apply:** The fastest way to apply updates from Claude, GPT-4o, and others into any file - codebases, docs, etc - 5000+ tok/sec\n\n[Try API for Free →](https://morphllm.com/dashboard)\n\n![uploaded image](/media/?type=post&id=90352&key=user_uploads/405977/887a632b-bd61-4ace-9af5-d6abc166c319)\n\n> Benchmarked on a 9,000 token file, \\~2 seconds\n\n# **The Problem**\n\nThere’s no good way to apply edits that models want to make into files. Outputting the full file again is slow and expensive. Diff/Patch edits are brittle and a poor product experience.\n\nIn a production setting, AI agents need to update thousands of files. What about when you have a 50k token docx to update? Or when you need to be world-class at retrieving relevant info from a 500+ file repo?\n\n# **Solution:**\n\nMorph is the foundational infrastructure for AI Coding Agents that **_work and feel amazing_** _-_ not a quick demo.\n\n**~~Tired~~**~~: Chunked RAG and having Claude re-output full files~~\n\n**Wired**: Syntax-aware embeddings, reranking, and Fast Apply models = the perfect product experience\n\n**Cursor and Windsurf _roughly_ do this:**\n\n1. For a query, search for top-k relevant embeddings.\n2. Re-rank the corresponding content with a re-ranking model → stuff prompt using Claude/Gemini tool calls\n3. Use Claude/Gemini to generate small, focused changes\n4. Use a Fast Apply model to apply those changes back to the original file\n\n**We provide:**\n\n**Morph Apply**: _Fast Apply_ model: Merge updates from GPT-4o, Claude, and others into your files in under 2s (5000+ toks/second) \\\n**Morph Embeddings:** Syntax-aware embeddings, built for code\n\n**Morph Reranking:** Rerank functions/classes or file snippets to stuff your context with only the relevant context - every time.\n\n[Try it Now →](https://morphllm.com/dashboard)\n\n**Morph SDK:** Intelligently watch for file changes + smarter embeddings.\n\n![uploaded image](/media/?type=post&id=90352&key=user_uploads/405977/20ff3242-a426-4ec3-8c62-4e8633a5cc74)\n\n> Morph Fast Apply dropped errors by 8x vs. patch-based edits in our internal IDE and worked on our largest files - **Staff Eng @ Fortune-50**\n\nIf you’re building the Cursor for \\__\\_, or building agents that modify code:\n\nEmail us: [info@morphllm.com](mailto:info@morphllm.com)\n\n[Grab a Time Here](https://calendar.app.google/PW4nayCdGanN9iEKA)\\\nGet Started for Free: https://morphllm.com\n\n[Self Host Morph](https://morphllm.com/blog/self-hosting)",
        "url": "https://www.ycombinator.com/launches/NVI-morph-the-other-models-you-need-to-build-coding-agents-like-cursor",
        "votes": 31,
        "created_at": "2025-05-13T16:56:19.950Z"
      }
    ]
  },
  {
    "id": 29125,
    "name": "truemetrics",
    "slug": "truemetrics",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a6cd7b0f7663e8989ac828e2eeebe6e1968813d3.png",
    "website": "https://www.truemetrics.io/",
    "all_locations": "Berlin, Berlin, Germany",
    "long_description": "truemetrics helps logistics companies to find their customer's faster. By detecting and mapping entrances, we help GLS, a key logistics company in Europe, save 32.7 seconds on each delivery.\r\n\r\nThe way couriers navigate is broken.\r\n\r\n“You Have Arrived At Your Destination!” — or so Google Maps thinks. In reality, the way couriers navigate is broken: No parking, hard-to-find entrances, and labyrinth-like apartment and office complexes can turn the last meters of delivery into a time-consuming puzzle.\r\n\r\ntruemetrics provides parking positions and entrance locations to enable faster drop-offs. Our data is generated by analyzing sensor data from drivers' smartphones, allowing truemetrics to identify precise parking and entrance locations, thereby simplifying the last meters of delivery.\r\n",
    "one_liner": "We show couriers where to park and enter a building.",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Supply Chain and Logistics",
    "launched_at": 1688493255,
    "tags": [
      "Delivery",
      "Logistics",
      "AI",
      "ML"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
      "B2B",
      "Supply Chain and Logistics"
    ],
    "regions": [
      "Germany",
      "Europe",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/truemetrics",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/truemetrics.json",
    "year_founded": 2021,
    "city": "Berlin",
    "country": "DE",
    "linkedin_url": "https://www.linkedin.com/company/truemetricsio",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a6cd7b0f7663e8989ac828e2eeebe6e1968813d3.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": null,
    "founders": [
      {
        "user_id": 1019217,
        "full_name": "Ingo Boegemann",
        "title": "Founder",
        "founder_bio": "Studied mechanical engineering at the technical university of Hamburg and at UC Berkeley\nWorked in tech consulting for almost 10 years with a focus on supporting classical European tech companies (automotive, aerospace, etc. ) \nFounded my own consulting company which I exited to a competitor in 2020\nStarted working on sensor fusion technologies which are part of truemetrics core tech stack in 2020\nIn my free time I love to the outdoors, especially camping and surfing",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/ingo-boegemann-a78800bb",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/73cf0926ae6f86b6c2e562ab1072b7e7f023cb2f.jpg"
      },
      {
        "user_id": 1372422,
        "full_name": "Jan Bischof",
        "title": "Founder",
        "founder_bio": "Jan Bischof is a highly skilled and accomplished software engineer with a strong background in artificial intelligence research. With a passion for developing innovative solutions, Jan has a proven track record of designing and implementing cutting-edge algorithms and software systems. He possesses excellent problem-solving abilities and a deep understanding of machine learning techniques, making him a valuable asset in the field of AI and software development. ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/jan-bischof",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7f49658ac12d4a60e2bdb8e5ce62ded4c8e0d66a.jpg"
      }
    ],
    "jobs": [
      {
        "id": 113238,
        "title": "GTM Founder's Associate",
        "url": "https://www.ycombinator.com/companies/truemetrics/jobs/THLEzXI-gtm-founder-s-associate",
        "location": "Berlin, BE, DE / Berlin, Berlin, DE",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "€50K - €60K EUR",
        "equity_range": "0.10% - 0.50%",
        "experience": "1+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 74016,
        "title": "truemetrics - helping logistics companies deliver to their customer’s doorstep",
        "tagline": "truemetrics provides logistics companies with precise delivery coordinates to guide couriers to their customer's doorstep.",
        "body": "### **_TL;DR_**\n\ntruemetrics provides logistics companies with precise delivery coordinates to guide couriers to their customer's doorstep. Our tech enables GLS, one of Europe’s biggest logistics companies, to speed up their deliveries by 2-10 minutes.\\\n\\\nHi! We are Ingo, Jan, and David and we believe that **the way how couriers navigate is broken.**\n\n![uploaded image](/media/?type=post&id=74016&key=user_uploads/1295475/c9886fc5-f687-4973-b936-d2a54ddae884)\n\n“You Have Arrived At Your Destination!” — or so Google Maps thinks. In reality, the way couriers navigate is broken: No parking, hard-to-find entrances, and labyrinth-like apartment and office complexes can turn the last meters of delivery into a time-consuming puzzle.\n\n### **Solution**\n\n![uploaded image](/media/?type=post&id=74016&key=user_uploads/1295475/58631705-41f1-4a39-8f74-075582b6bdcb)\n\n\n[truemetrics](https://truemetrics-26059762.hs-sites-eu1.com/en/product-presentation) provides parking positions and entrance locations to enable faster deliveries. Our data is generated by analyzing sensor data from drivers' smartphones, allowing truemetrics to identify precise parking and entrance locations, thereby simplifying the last meters of delivery.\n\n### **Team**\n\nDuring his management of Wolt's operations in three of Germany's four regions, David often faced challenges with inefficiencies in the last 50 meters of delivery. Together with Jan and Ingo, he started truemetrics to overcome these problems. Ingo contributes 10 years of engineering and entrepreneurial experience, along with a successful exit. Jan Bischof holds a PhD in Control Theory and has developed software and AI solutions for nearly a decade.\n\n### **Ask: How you can help**\n\n* [Please connect us with COOs and CTOs from your network!](https://mailto:david@truemetrics.io)\n* We would be happy to hear your feedback! [Discover the biggest address fuck-ups](https://www.demonstrator.truemetrics.cloud/map) and share with us [your favourite navigation mishaps](https://forms.gle/ugDzhR6YTWfMdWaM9).",
        "url": "https://www.ycombinator.com/launches/JFo-truemetrics-helping-logistics-companies-deliver-to-their-customer-s-doorstep",
        "votes": 27,
        "created_at": "2023-08-10T21:49:21.358Z"
      }
    ]
  },
  {
    "id": 29150,
    "name": "Tempo",
    "slug": "tempo-2",
    "former_names": [
      "Tempo Labs"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/860f478b7cd2ea33eefb86e90c9c693abef2997f.png",
    "website": "https://www.tempo.new",
    "all_locations": "Toronto, ON, Canada",
    "long_description": "Tempo is a visual editor for react that gives PMs, designers, and engineers the ability to collaborate visually on code. It offers the familiar UX of a design tool but functions like an IDE under the hood. Tempo is optimized for Vite and Tailwind.",
    "one_liner": "Visual Editor for React, powered by AI",
    "team_size": 8,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1689887097,
    "tags": [
      "Developer Tools",
      "B2B",
      "Design Tools",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "regions": [
      "Canada",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/tempo-2",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/tempo-2.json",
    "year_founded": 2023,
    "city": "Toronto",
    "country": "CA",
    "linkedin_url": "https://www.linkedin.com/company/tempo-labs/",
    "x_url": "https://twitter.com/Tempo_Labs",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/860f478b7cd2ea33eefb86e90c9c693abef2997f.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
    },
    "founders": [
      {
        "user_id": 186561,
        "full_name": "Kevin Michael",
        "title": "Founder",
        "founder_bio": "Spent the last 5 years as founding engineer and head of product at Perpetua ($150M exit). Previously product fellow at Social Capital and engineer on the Visual Studio team at Microsoft.\n\nI've tried every low-code tool on the market and not a single one does a good job integrating with existing production codebases. I'm obsessed with solving this problem at Tempo and using AI to turn anyone into a 10X engineer.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/kevin1michael",
        "x_url": "https://twitter.com/Kevin1Michael",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8c7830f8663eab5c6d02ae78b8d45d215d44e638.jpg"
      },
      {
        "user_id": 187455,
        "full_name": "Peter Gokhshteyn",
        "title": "Founder",
        "founder_bio": "Passionate about building great products fast. Joined Perpetua ($150M exit) 6 years ago as employee #3 and led the engineering team from idea to PMF. Previous worked as a software developer at Google, Bloomberg & Zynga.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/petergokhshteyn",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/736fd7198b0fd99e0e711bdeb7288da5fbf5e458.jpg"
      }
    ],
    "jobs": [
      {
        "id": 68263,
        "title": "Software Engineer, Full Stack (In-Person - Toronto)",
        "url": "https://www.ycombinator.com/companies/tempo-2/jobs/fszRm52-software-engineer-full-stack-in-person-toronto",
        "location": "Toronto, ON, CA",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$160K - $200K CAD",
        "equity_range": "0.35% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Node.js",
          "React"
        ]
      },
      {
        "id": 68264,
        "title": "Software Engineer, LLMs & AI Agents (In-Person - Toronto)",
        "url": "https://www.ycombinator.com/companies/tempo-2/jobs/C9xH3JW-software-engineer-llms-ai-agents-in-person-toronto",
        "location": "Toronto, ON, CA",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$160K - $200K CAD",
        "equity_range": "0.35% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Node.js",
          "React"
        ]
      },
      {
        "id": 83825,
        "title": "Founding Product Designer ",
        "url": "https://www.ycombinator.com/companies/tempo-2/jobs/Hia3MVk-founding-product-designer",
        "location": "Main Office - Toronto",
        "type": "Full-time",
        "role": "Design",
        "role_type": "Web design",
        "salary_range": "$125K - $200K CAD",
        "equity_range": "0.25% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "React",
          "TypeScript",
          "Figma",
          "Tailwind"
        ]
      }
    ],
    "news": [
      {
        "title": "Tempo's $5M Seed To Empower The Design Engineering Movement",
        "url": "https://www.tempo.new/blog/5m-seed-design-engineering-movement",
        "date": "Oct 22, 2025"
      }
    ],
    "launches": [
      {
        "id": 88483,
        "title": "Tempo V2: Build React Apps 10X Faster With AI",
        "tagline": "Tempo is where designers and developers collaborate on code",
        "body": "### **TL;DR**\n\nTempo is a visual IDE that enables designers, PMs, and developers to collaborate on code with the help of AI. In addition to prompting, Tempo gives you the fine-grain control that comes from a traditional design editor or code editor.\n\nIn V2, we introduce our [Figma Plugin](https://www.figma.com/community/plugin/1463689183126672406/tempo-ai-powered-figma-to-code-react), new AI reasoning + Gemini Search, [pre-built SaaS templates](https://tempolabsinc.mintlify.app/SaasTemplates) (for Stripe, Polar, Supabase, Convex+Clerk), and Expo support for react-native mobile apps. Watch our demo, [here](https://youtu.be/Sup921tMUf4).\n\n**The problem?** \n\n“Low-code” and “design to code” tools suck. As much as they accelerate the development process for simple apps, none have succeeded at helping serious software companies ship production-grade software. \n\nNew AI-powered web app builders take a code-first approach that is superior, however, they still struggle with complex apps and large codebases.\n\n**How we are solving it**\n\nTempo redefines the development workflow by combining the best of an IDE (like VS Code), a design tool (like Figma), and an AI chat assistant that enhances both—creating a single source of truth for designers and developers. Whether you’re a non-technical builder or a seasoned engineer, Tempo streamlines the process from concept to production.\n\nWith **V2, Tempo introduces:**\n\n🎨 **A fine-grain design panel** for pixel-perfect control\n\n🖼️ **A Figma plugin** that converts your designs to code in Tempo\n\n🧠 **Enhanced AI reasoning + Gemini Search** for faster debugging and development.\n\n⚡ **Pre-built SaaS templates** for Stripe, Polar, Supabase, Convex + Clerk.\n\n📱 **Expo support** for mobile app development with react native.\n\n**Teams use Tempo to:**\n\n* Build production grade applications.\n* Rapidly generate and refine prototypes.\n* Visually collaborate on production code.\n* Ship UIs that are pixel-perfect, every time.\n\nThe interface feels like your favourite design tool but works like an IDE. Teams using tempo ship to production 10x faster by adopting a code-first workflow.\n\n**What are we looking for?** \n\nSimply put—build, share, and showcase what you’ve created. Tag us in your [X](https://x.com/Tempo_Labs), [LinkedIn](https://www.linkedin.com/company/tempolabs/), or other posts, and we’ll amplify it to the community. Also please share your feedback.\n\nNeed additional support to accelerate your product roadmap? [Agent+](https://www.tempo.new/ai-agent-plus) can help accelerate your roadmap—designing and shipping 1-3 features per week. YC companies get $500 off for the first 3 months. Let’s build faster, together.\n\n**About Us:** \n\nFounders [Kevin](https://www.linkedin.com/in/kevin1michael/) and [Peter](https://www.linkedin.com/in/petergokhshteyn/) previously worked at Microsoft, Google, and Perpetua. They are building Tempo to help teams go from idea to production in minutes.",
        "url": "https://www.ycombinator.com/launches/N19-tempo-v2-build-react-apps-10x-faster-with-ai",
        "votes": 53,
        "created_at": "2025-03-11T17:41:51.665Z"
      },
      {
        "id": 73362,
        "title": "Tempo Labs - Build UIs 10X faster with AI",
        "tagline": "AI design & prototyping tool which contributes react code directly to your codebase",
        "body": "**TL;DR:** [_Tempo_](https://www.tempolabs.ai/) is an AI design & prototyping tool which contributes high-quality react code directly to your codebase. You can use tempo to generate complete views using simple AI prompts, polish & control design details visually, and build a high quality design system using your existing components. Sign up here to give it a try: [**_https://www.tempolabs.ai/_**](https://www.tempolabs.ai/)_._\n\nHere’s a 2-min demo: [**https://www.youtube.com/watch?v=2qQJKQJq7Jk**](https://www.youtube.com/watch?v=2qQJKQJq7Jk)\n\nHey Everyone, [Kevin](https://www.linkedin.com/in/kevin1michael/) & [Peter](https://www.linkedin.com/in/petergokhshteyn/) here, we’re the founders of [Tempo Labs](https://www.tempolabs.ai/).\n\n![uploaded image](https://bookface.ycombinator.com/media/?type=post&id=73362&key=user_uploads/186561/3de21c2f-8b73-4db8-8f65-5e2b61ea3670)\n\n### **The Problem**\n\nWhile building our last startup (Perpetua), we spent a lot of time looking for ways to speed up the pace of our development and prototyping. We tried every low-code tool on the market and were constantly disappointed by how poorly they integrated with our existing codebase. Figma ended up being our de facto tool for testing concepts but Figma prototypes always felt low-fidelity and took way too long to ship to production.\n\n### **The Solution**\n\nTempo is the design and prototyping tool we wish existed. Tempo integrates with any react project and empowers designers to collaborate with engineers directly on the codebase. Powered by AI, tempo generates 60%-80% of the front-end code required for any feature so engineers are free to focus on writing business logic rather than css. By eliminating the design->code translation process we help teams ship their ideas to production 10X faster.\n\n### **The Ask**\n\nIf you’re building a react app and are interested in testing us out please email me at [**kevin@tempolabs.ai**](mailto:kevin@tempolabs.ai). If you already have a design system we’ll give you a visual playground to build new views, if you don’t, we’ll help you implement one! If your app looks like crap, or your codebase feels hard to maintain, get in touch - we’ll help you level up your front-end using AI :)\n\n### **The Deal**\n\nSign-up before demo day and get 70% off for the first 6 months!",
        "url": "https://www.ycombinator.com/launches/J5G-tempo-labs-build-uis-10x-faster-with-ai",
        "votes": 84,
        "created_at": "2023-07-24T18:15:59.327Z"
      }
    ]
  },
  {
    "id": 29153,
    "name": "Coba",
    "slug": "coba",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/064ab4995b234ee61187e6d755a27338f57c5c90.png",
    "website": "https://www.coba.ai",
    "all_locations": "Monterrey, N.L., Mexico; Austin, TX, USA",
    "long_description": "Coba makes it easy for Mexican knowledge workers employed by US companies to earn in US Dollars and seamlessly spend locally in Pesos.\r\n\r\nOn average, a knowledge worker will lose $1,000 per year in hidden ForEx and transfer fees. In that process, their money will touch at least 3 different accounts adding time and steps along the way. These workers’ require more than simple money movement, they demand a financial solution that addresses their specific needs: banking, saving, spending - all in two currencies.\r\n\r\nCoba allows its users to not only deposit and save their earnings in a US account, but also access critical financial services at home in Mexico - from a local credit card to integrated bill pay. With Coba, remote workers can live across two currencies... efficiently and effortlessly.",
    "one_liner": "Dual Currency Accounts For LatAm",
    "team_size": 9,
    "industry": "Fintech",
    "subindustry": "Fintech",
    "launched_at": 1689886684,
    "tags": [
      "Fintech",
      "Latin America",
      "Remittances",
      "Neobank"
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    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
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    "regions": [
      "Mexico",
      "United States of America",
      "Latin America",
      "America / Canada",
      "Remote",
      "Partly Remote"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/coba",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/coba.json",
    "year_founded": 2022,
    "city": "Monterrey",
    "country": "MX",
    "linkedin_url": "https://www.linkedin.com/company/cobaremote",
    "x_url": "https://twitter.com/Cobaremote",
    "fb_url": "https://www.instagram.com/coba.remote/",
    "cb_url": null,
    "github_url": "https://github.com/coba-ai",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/064ab4995b234ee61187e6d755a27338f57c5c90.png",
    "app_video_url": null,
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    "company_photos": [
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    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
    },
    "founders": [
      {
        "user_id": 819558,
        "full_name": "Abraham Kuri Vargas",
        "title": "Founder",
        "founder_bio": "CTO & Co-founder at Coba. B.S. in Computer Science & Technology who has been developing software since 18 years old. I've been working in web development for 10+ years. Ruby on Rails expert. I'm the author of APIs on Rails(http://apionrails.icalialabs.com/book). 3D Printing enthusiast",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/abraham-kuri-vargas-b41a2126/",
        "x_url": "https://www.twitter.com/kurenn",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d66e4654d439e42219f2be18ee5f64d46580f77a.jpg"
      },
      {
        "user_id": 810779,
        "full_name": "Eduardo Lopez De Leon",
        "title": "Founder",
        "founder_bio": "I am an entrepreneur with 10+ years of experience building companies around the software and technology fields in the Americas. Developer by training. Dad, Husband, Regio. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/elopezdeleon/",
        "x_url": "https://twitter.com/edolopez",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4aeb48386ceaf890f6d51a1722e0ce65ef2d9781.jpg"
      },
      {
        "user_id": 819594,
        "full_name": "Carlos Alberto Medellin Gonzalez",
        "title": "Founder",
        "founder_bio": "Co-founder of Coba. Former CFO of Icalia Labs. Finance Degree from Tec de Monterrey, Masters Degree from Copenhagen Business School. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/camego",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c47ff3b87d37d90b3fd9cc2590a9b26c5a706825.jpg"
      }
    ],
    "jobs": [
      {
        "id": 69207,
        "title": "Coba.ai Hiring | Full-stack developers for US-MX cross-border fintech (remote US or MX)",
        "url": "https://www.ycombinator.com/companies/coba/jobs/9wju4KE-coba-ai-hiring-full-stack-developers-for-us-mx-cross-border-fintech-remote-us-or-mx",
        "location": "MX / US / Remote (MX; US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$84K - $120K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Node.js",
          "Ruby on Rails"
        ]
      },
      {
        "id": 69208,
        "title": "Coba.ai Hiring | UI/UX designer for US-MX cross-border fintech (remote US or MX)",
        "url": "https://www.ycombinator.com/companies/coba/jobs/2cSKYwP-coba-ai-hiring-ui-ux-designer-for-us-mx-cross-border-fintech-remote-us-or-mx",
        "location": "MX / US / Remote (MX; US)",
        "type": "Full-time",
        "role": "Design",
        "role_type": "UI / UX",
        "salary_range": "$84K - $120K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "React Native",
          "Figma"
        ]
      },
      {
        "id": 69209,
        "title": "Coba.ai Hiring | Marketing/G2M for US-MX cross-border fintech (remote US or MX)",
        "url": "https://www.ycombinator.com/companies/coba/jobs/9hV6Nxz-coba-ai-hiring-marketing-g2m-for-us-mx-cross-border-fintech-remote-us-or-mx",
        "location": "MX / US / Remote (MX; US)",
        "type": "Full-time",
        "role": "Design",
        "role_type": "UI / UX",
        "salary_range": "$50K - $80K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "React Native",
          "Figma"
        ]
      }
    ],
    "news": [
      {
        "title": "Our favorite startups from YC's Summer 2023 Demo Day, Day 1 | TechCrunch",
        "url": "https://techcrunch.com/2023/09/06/ycombinator-demo-day-one-summer-2023/",
        "date": "Sep 06, 2023"
      }
    ],
    "launches": [
      {
        "id": 73265,
        "title": "Coba 🇺🇸💸🇲🇽 — Dual currency accounts for LatAm",
        "tagline": "Earn in US Dollars and spend in Pesos. Live across two currencies.",
        "body": "[**Coba**](https://www.coba.ai/) allows international knowledge workers in Mexico to deposit their USD paychecks in US accounts and spend in pesos. One account…two currencies.\n\nHola 👋 ! We are the team behind Coba.\n\n![uploaded image](/media/?type=post&id=73265&key=user_uploads/891884/5561585a-e518-429a-bcf9-3f85a1bffa7a)\n\n### **🤔 The Problem**\n\nInternational knowledge workers earn in USD but live their day-to-day in Pesos. Moving money across borders is costly, complex and the existing banking infrastructure is slow. On average, a knowledge worker will lose $1,000 per year in hidden ForEx and transfer fees. In that process, their money will touch at least 3 different accounts adding time and steps along the way.\n\n### **💡 The Solution**\n\nCoba is the app where users can:\n\n* Access a single account to deposit their payroll, save in USD and send funds to Mexico.\n* Transfer Mexican Pesos to local bank accounts in seconds without fees and at competitive FX rates.\n* Receive a local credit card for daily expenses in Pesos that draws from their USD balance.\n\n**Earning and saving in USD… Living and spending in Pesos.**\n\n![uploaded image](/media/?type=post&id=73265&key=user_uploads/891884/b144f0dd-5495-4c5a-aa84-41c0c0ddea66)\n\n### **🇺🇸💸🇲🇽 How Do We Do It?**\n\n* **Trust**: Coba runs on existing, regulated banking infrastructure and tools\n* **Convenience**: A single app for two currencies\n* **Efficiency**: Proprietary payment rails mean more competitive FX rates and savings for our Users\n\n### **🇺🇸💸🇲🇽 Why Us?**\n\nFrom the Near-shoring capital of Latin America, Monterrey, MX, we live a cross-border reality. Not only have we employed remote teams across LatAm in the businesses we have operated, but we are remote workers ourselves and know first-hand the costs and complexity of moving money from USD to Pesos.\n\n### **🙏 The Ask**\n\nIf you currently have employees or friends in Mexico who are earning in USD and could benefit from an account, we would love to have them as early adopters. They can sign-up for our priority waitlist [**here**](https://coba.ai/onboarding.html).",
        "url": "https://www.ycombinator.com/launches/J3h-coba-dual-currency-accounts-for-latam",
        "votes": 34,
        "created_at": "2023-07-20T19:23:31.123Z"
      }
    ]
  },
  {
    "id": 29159,
    "name": "Healthtech 1",
    "slug": "healthtech-1",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/15cc6519a2b0765f7891150168879dacd368471a.png",
    "website": "https://www.healthtech1.uk/",
    "all_locations": "London, England, United Kingdom",
    "long_description": "Healthtech-1 builds clinical AI that navigates patients to the right place, first time. Today we automate eligibility checks, triage and appointment booking for 1,600+ NHS GP practices.\r\n\r\nTomorrow, every healthcare appointment - GP, pharmacy, dentist, physio - is instantly bookable on bookable.health.\r\n\r\nWhy now?\r\nThe NHS has come a long way, but access to it hasn't. Patient satisfaction is at a 25-year low. Automating access to care - eligibility, triage, booking - is how we reverse the trend.",
    "one_liner": "Navigating patients to the right place, first time.",
    "team_size": 40,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Healthcare IT",
    "launched_at": 1688443537,
    "tags": [
      "Health Tech",
      "Workflow Automation",
      "Digital Health",
      "Healthcare",
      "Healthcare IT"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
      "Healthcare",
      "Healthcare IT"
    ],
    "regions": [
      "United Kingdom",
      "Europe"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": [
      {
        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "We exist to make every NHS appointment [Bookable](https://bookable.health/). Presently only 1% of NHS appointments are easily accessible to patients. For good reason, barriers exist to hide these behind triage forms and long phone line queues. We think we can solve this."
      }
    ],
    "url": "https://www.ycombinator.com/companies/healthtech-1",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/healthtech-1.json",
    "year_founded": 2022,
    "city": "London",
    "country": "GB",
    "linkedin_url": "https://www.linkedin.com/company/healthtech-1/",
    "x_url": "https://twitter.com/healthtech_1",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/15cc6519a2b0765f7891150168879dacd368471a.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
    },
    "founders": [
      {
        "user_id": 860223,
        "full_name": "Raj Paul",
        "title": "Founder",
        "founder_bio": "NHS Clinical Entrepreneur who grew up running around my parents primary care practice. Ex-management consultant who delivered intelligent automation projects for global banks. \n\nSometimes I teach people how to ski ⛷️",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/rajkumarkohli",
        "x_url": "https://twitter.com/rajpkohli",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1b635c75d727092621d084dc3cbf9ec18be23acd.jpg"
      },
      {
        "user_id": 857509,
        "full_name": "Peter Huang",
        "title": "Founder",
        "founder_bio": "Cofounder and Head of Product of Healthtech 1. \n\nBritish Born Chinese based in London. A deep generalist with skills in product, growth & engineering. Most recently a Web Engineer @ Monzo.\n\nI'm building a health tech automation company with a best friend from school! This is our 2nd company together, having found our true Ikigai in helping a national health system thrive. There isn't a convincing plan to fill the huge staffing gap in the NHS. This is where our automation platform fits in.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/petejayhuang",
        "x_url": "https://twitter.com/PeteJayHuang",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/25f1e64672b7b8c5c7da03dfad2622231912baec.jpg"
      }
    ],
    "jobs": [
      {
        "id": 90068,
        "title": "Account Executive",
        "url": "https://www.ycombinator.com/companies/healthtech-1/jobs/UZRAH1c-account-executive",
        "location": "Stratford, East London",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "£45K - £90K GBP",
        "equity_range": "0.01% - 0.10%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 90074,
        "title": "Senior Product Engineer",
        "url": "https://www.ycombinator.com/companies/healthtech-1/jobs/rVuqHps-senior-product-engineer",
        "location": "Stratford, East London",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "£80K - £130K GBP",
        "equity_range": "0.05% - 0.20%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "Healthtech-1 raises $3.5m to automate admin in doctors surgeries ",
        "url": "https://sifted.eu/articles/healthtech-1-raise-monzo-alumni-news",
        "date": "Sep 18, 2024"
      },
      {
        "title": "12 hospital tech startups to watch, according to VCs | Sifted",
        "url": "https://sifted.eu/articles/12-hospital-tech-startups-to-watch-according-to-vcs#:~:text=Gilmartin%2C%20investor%2C%20AlbionVC-,Healthtech%2D1%20%E2%80%94%20UK,-Healthtech%2D1%20automates",
        "date": "Feb 16, 2024"
      }
    ],
    "launches": [
      {
        "id": 73529,
        "title": "Healthtech-1 💙 Making free healthcare sustainable",
        "tagline": "by automating repetitive processes, starting with the first touchpoint: new patient registrations",
        "body": "**Healthcare systems across the world spend $1.1 trillion\\* on repetitive processes completed manually by healthcare staff.** [Healthtech-1](https://www.healthtech1.uk/) automates repetitive processes for healthcare systems. We’re starting with the world’s most famous: the NHS. We’re already live in over 100 primary care practices, and we’re hiring.\n\n---\n\n### **Problem**\n\nIn Britain, from the moment you first open your eyes, to the moment you finally close them, you’re cared for by the NHS free at the point of delivery _\\- it’s a beautiful thing_ 💙\n\nThe NHS is a safety net for the most vulnerable people in British society, and Europe’s biggest employer. This year, as the NHS turns 75, **9/10 people agree that healthcare should be free of charge,** and more than 8/10 of agree that the NHS makes them proud to be British.\n\nBut at the current rate, the NHS won’t see its 100th birthday. Post-pandemic, Britain's most treasured institution is in crisis. **Patient satisfaction is at a 25-year low and 1/7 of staff are in the process of leaving, citing mental and physical exhaustion.**\n\nLonger lives and an ageing population are steadily increasing the complexity and pressure of providing healthcare. **The increasing demand is unsustainable unless the cost of providing care can be massively reduced.**\n\nThe largest single cost is the staff. The NHS pays a $93bn wage bill, for 470k administrators, 740k clinicians, and 50k managers\\*\\*. All of whom spend an eye-watering amount of time on manual repetitive processes: data entry, summarisation, filing, scheduling..._the list goes on._\n\nThe current plan is “hire more staff”, but recruitment isn’t the answer.\n\n### **Solution**\n\nHealthtech-1 uses the latest technology to automate repetitive processes for healthcare organisations. The first automation launched 18 months ago for new patient registrations is now live in over 100 NHS Primary Care practices across England saving over 1000 hours of staff time per week.\n\nSo far we’ve added the equivalent of 25 full-time staff to the NHS providing a 9.8/10 ⭐️ experience to patients, for **half the cost.** That’s how you make free healthcare sustainable.\n\n![uploaded image](/media/?type=post&id=73529&key=user_uploads/860223/c5a83841-8d79-42f0-9689-0a48dee0e89e)\n\nBased out of Raj's parents' primary care practice, the Healthtech-1 team is systematically automating the repetitive processes they experience every day.\n\n### **Team**\n\nIt started as two school friends, now **we’re a team of 5 engineers, 3 doctors, and an accountant.**\n\n[**@Peter Huang**](https://www.linkedin.com/in/petejayhuang/) is an ex-Monzo software engineer that has built products that millions of people love. [**@Raj Kohli**](https://www.linkedin.com/in/rajkumarkohli/) is an NHS Clinical Entrepreneur who has delivered intelligent automation for global banks. After starting our first company, we jumped into healthcare to support Raj’s parents during the pandemic.\n\nWe’re here at YC to redirect the world’s best talent to one of the world’s greatest opportunities for good: universal healthcare.\n\n![uploaded image](/media/?type=post&id=73529&key=user_uploads/860223/7d4df318-8951-4d3d-9137-23a006c6d574)\n\n### **Ask**\n\nIf you know any operators or engineers interested in making something people need, please intro them to [raj@healthtech1.uk](mailto:raj@healthtech1.uk).\n\n\\-\n\n**References:**\n\n_\\*$9 trillion spent on healthcare (_[_WHO, 2022_](https://www.who.int/publications/i/item/9789240064911)_). Admin spend varies between 10-30% depending on the geography (_[_Health Affairs, 2022)_](https://www.healthaffairs.org/do/10.1377/hpb20220909.830296/)_. Let’s assume 12%._\n\n_Global Healthcare Admin spend: $9tr \\*12% = $1.08tr_\n\n_\\*\\*$8.4bn GP practices, $84.6bn in hospital. (_[_The Kings Fund, 2023_](https://www.kingsfund.org.uk/audio-video/key-facts-figures-nhs)_)_\n\n_NHS total staff salaries: 8.4bn + 84.6bn = $93bn._",
        "url": "https://www.ycombinator.com/launches/J7x-healthtech-1-making-free-healthcare-sustainable",
        "votes": 267,
        "created_at": "2023-07-28T06:01:12.000Z"
      }
    ]
  },
  {
    "id": 29162,
    "name": "Flex",
    "slug": "flex",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6db50cb8b7d8269f3c2b9ce2c300b8dd5e7d0bab.png",
    "website": "https://www.withflex.com/shop",
    "all_locations": "Remote",
    "long_description": "Flex is a payment platform for businesses to accept HSA/FSA, unlocking the $150B per year sitting in HSA/FSA accounts. \r\n",
    "one_liner": "Stripe for HSA/FSA payments",
    "team_size": 8,
    "industry": "Fintech",
    "subindustry": "Fintech -> Payments",
    "launched_at": 1690520542,
    "tags": [
      "Fintech",
      "Marketplace",
      "Health & Wellness"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
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      "Payments"
    ],
    "regions": [
      "Remote",
      "Fully Remote"
    ],
    "stage": "Growth",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/flex",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/flex.json",
    "year_founded": 2023,
    "city": null,
    "country": null,
    "linkedin_url": "https://www.linkedin.com/company/withflex/",
    "x_url": "https://twitter.com/paywithflex",
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        "user_id": 6343,
        "full_name": "Sam O'Keefe",
        "title": "Founder",
        "founder_bio": "Sam is a cofounder at Flex. Her previous roles include product leadership at a growth stage fintech (Unit21), EIR in Area120, and global head of startup programs at Google, and an editor at TechCrunch. Sam has also been a writer and producer of South of Market, the Musical.\n\n",
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        "full_name": "Miguel Toledo",
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        "id": 65864,
        "title": "Software Engineer",
        "url": "https://www.ycombinator.com/companies/flex/jobs/XE6Guz3-software-engineer",
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    "news": [
      {
        "title": "Flex Raises $15M to Unlock $150B in Unused HSA/FSA Funds",
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        "date": "Sep 02, 2025"
      },
      {
        "title": "Flex raises $3.2M seed for D2C health account payments",
        "url": "https://www.axios.com/pro/fintech-deals/2024/09/04/flex-d2c-health-account-payments-seed",
        "date": "Sep 04, 2024"
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      {
        "id": 86397,
        "title": "Flex Market: Marketplace for HSA/FSA",
        "tagline": "Save 30% on health & wellness products by shopping with your HSA/FSA",
        "body": "We’re excited to introduce [Flex Market](https://www.withflex.com/shop), a new marketplace designed to make health and wellness more accessible.\n\nHere’s a glimpse of what you’ll find on Flex Market:\n\n* **🏋️‍♀️** Fitness programs and equipment\n* 🧴 Supplements \n* 💆‍♀️ Sleep and recovery products\n* ⌚ Wearables \n* 🏥 Traditional OTC health products (eyeglasses, women’s health products etc)\n\n![uploaded image](/media/?type=post&id=86397&key=user_uploads/6343/178a211a-9313-4e35-af74-717bc445d4ed)\n\n**Why Flex Market is Unique**\n\nFor products like supplements, fitness equipment or other “dual use” items, consumers are required to have a doctor's note, or Letter of Medical Necessity (LMN), to qualify to spend their HSA/FSA funds. \n\nFlex is the only place where consumers can both shop for traditional healthcare products (think what you might expect to find at a CVS) as well as those items that require a Letter of Medical Necessity (LMN). For those that require the latter, consumers can initiate a two minute telehealth consultation immediately, qualify, and receive their LMNs later that day.\n\n![uploaded image](/media/?type=post&id=86397&key=user_uploads/6343/67901886-4948-4208-807e-b72e1d912ecc)\n\n**Quick HSA/FSA Background**\n\nHealth Savings Accounts and Flexible Spending Accounts are tax advantaged accounts that are designated to be spent on healthcare related purchases. Historically these funds have only been able to be spent on trips to the doctor’s office or buying items at CVS. \n\nFSAs are use-it-or-lose-it, meaning that at the end of the year any funds that aren't spent are forfeited. On average, individuals lose about $450 per year, resulting in nearly $10B of lost benefits.\n\n**Why it Matters**\n\nFlex Market isn’t just a shopping platform – it’s part of a larger mission to make health and wellness more accessible.\n\nBy addressing the barriers of traditional HSA/FSA spending, we’re helping people:\n\n* Avoid forfeiting their hard-earned HSA/FSA funds\n* Discover new ways to invest in their health\n* Making health products and services more accessible\n\n**Check Us Out Today!**\n\nIf you or someone you know has FSA funds to spend before year-end or is gearing up for health-related purchases as part of a New Year’s resolution, check out [Flex Market!](https://www.withflex.com/shop) If you’re interested in seeing your brand on the marketplace, reach out to us [here.](https://www.withflex.com/contact)\n\nThanks so much for your support – and here’s to a healthier 2025! 💪",
        "url": "https://www.ycombinator.com/launches/MTV-flex-market-marketplace-for-hsa-fsa",
        "votes": 15,
        "created_at": "2024-12-18T17:21:25.934Z"
      },
      {
        "id": 73539,
        "title": "💪 Flex: Stripe for HSA/FSA payments",
        "tagline": "We enable businesses to unlock the $120B per year sitting in HSA/FSA accounts.",
        "body": "**TL;DR** - Flex is Stripe for HSA/FSAs\\*. We enable businesses to unlock the $120B per year sitting in HSA/FSA accounts. To learn more or start accepting HSA/FSA payments, email [partners@withflex.com](mailto:partners@withflex.com).\n\n**PROBLEM**\n\nToday, HSA/FSAs can only be spent at medical institutions or large retailers that have specific inventory management systems in place to comply with IRS regulations.\n\nAs a result many consumer wellness, fitness, nutrition, and even e-commerce companies selling health related products are not able to accept HSA/FSAs. \n\nThese businesses are missing out on 60M American consumers who are looking to spend $120B per year from their HSA/FSA accounts on health related products and services.\n\n**SOLUTION**\n\nFlex is a payment platform for businesses to accept HSA/FSA cards. \n\nWe provide a prebuilt, hosted checkout page or UI building blocks to integrate HSA/FSA payments directly into your existing payments flow. \n\nWe know how critical your checkout flow is so Flex pages are thoughtfully designed to optimize conversion.\n\n**HOW IT WORKS**\n\nFor [pre-approved items by the IRS](https://www.irs.gov/publications/p502#en_US_2022_pu): Flex checks your inventory against the most up to date IRS approved products list and it processes the FSA or HSA payment, and keeps the necessary records in the case of an audit.\n\nFor non-pre-approved items: Flex’s asynchronous telehealth team assesses medical necessity and can issue the required paperwork to make your product or service HSA/FSA eligible for the customer — all in a streamlined checkout flow.\n\n![uploaded image](/media/?type=post&id=73539&key=user_uploads/6343/927924de-af6b-4596-9f0e-e9d4c0e3dfe8)\n\n_(Checkout flow with telehealth intake form.)_\n\n**TEAM**\n\nWe’re Sam and Miguel! We met working together at a growth stage at fintech company, Unit21. We’re both lifelong athletes, and started Flex because we believe we can improve people’s lives by making healthy habits more accessible.\n\n![](https://lh6.googleusercontent.com/0hhGyZ9IuCFZkpaxuzoVFghZLgb7v5ExY518_dAHcfS-q7HqdRfVPnU-wOttzSfX0aSjPlHRl73BkpgOjgddEgKXp1qufEtrE_DXZz1_IyVgzzp1YM7GcfoNV7-O3fSqB14Of6RTsHvn6Hbuo_Hua20)\n\n\\***_Background - What are HSA/FSAs?_**\n\n_HSAs (Health Savings Account) and FSAs (Flexible Savings Accounts) are accounts that allow you to set aside pre-tax money to spend on health related purchases. Since you aren't being taxed on the money you put into the account, anything you spend it on is effectively \\~30% cheaper._ ",
        "url": "https://www.ycombinator.com/launches/J87-flex-stripe-for-hsa-fsa-payments",
        "votes": 47,
        "created_at": "2023-07-28T14:46:12.162Z"
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    "name": "Event Horizon Labs",
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        "id": 89199,
        "title": "Founding Research Engineer",
        "url": "https://www.ycombinator.com/companies/event-horizon-labs/jobs/WTS8qWs-founding-research-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
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        "salary_range": "$150K - $200K",
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      {
        "id": 90937,
        "title": "Founding Software Engineer",
        "url": "https://www.ycombinator.com/companies/event-horizon-labs/jobs/xGQicps-founding-software-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
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    "launches": [
      {
        "id": 88711,
        "title": "R2R: Open-Source Agentic Retrieval System with Deep Research API",
        "tagline": "Enterprise-grade Deep Research API for Your Data plus the Web",
        "body": "### TL;DR\n\n**R2R** is an open-source system that extends beyond conventional RAG by adding autonomous research capabilities across your documents and the web. After processing large document collections in production environments, we developed the Deep Research API to help applications better connect and synthesize information from multiple sources. R2R is available as both a cloud service and self-hostable solution.\n\n**Cloud App Signup:** [app.sciphi.ai](http://app.sciphi.ai) (generous free tier, no credit card required)\\\n**GitHub:** [R2R](https://github.com/SciPhi-AI/R2R)\n\n### Demo\n\n![uploaded image](/media/?type=post&id=88711&key=user_uploads/372342/15328b62-f902-4d58-b559-8360b3468618)\n\n### The Problem\n\nTraditional RAG systems have fundamental limitations:\n\n* They match queries to documents but lack multi-step reasoning\n* Complex questions require manual investigation across multiple sources\n* Information synthesis remains a largely human task\n* Citation tracking and verification are often missing\n* The reasoning process remains opaque\n\nThese limitations create inefficiencies when dealing with complex information needs.\n\n---\n\n### Our Solution\n\nThe Deep Research API provides:\n\n* Multi-step reasoning across documents and web sources\n* Knowledge graph generation to establish connections between information\n* Chained research workflows for exploring complex topics\n* Citation-backed answers with source attribution\n* Real-time visibility into the agent's thinking process\n* RESTful endpoints for straightforward integration\n\n---\n\n![uploaded image](/media/?type=post&id=88711&key=user_uploads/372342/9d86d7c9-d1df-4d47-a3ad-b126b12c3941)\n\n---\n\n# **Key Features**\n\n**Research Capabilities**\n\n* Research Agent: Advanced reasoning with computational tools\n* Extended Thinking: Configurable reasoning depth with model support\n* Citation Tracking: Source attribution for verification\n\n**Platform Components**\n\n* Multimodal Ingestion: Support for .txt, .pdf, .json, .png, .mp3, and more\n* Hybrid Search: Semantic and keyword search with reciprocal rank fusion\n* Knowledge Graphs: Entity and relationship extraction\n* User/Document Management: Authentication and collection organization\n\n### Why Now?\n\nLLMs are evolving toward better reasoning, but simply uploading all data to models is costly and error-prone. Agentic RAG solves the \"when/what to retrieve\" challenge, ensuring LLMs access the right information, especially for enterprise applications with diverse data. Teams need less DevOps and faster market entry without debugging embeddings or managing infrastructure.\n\n---\n\n### Our Ask\n\nAre you building advanced AI solutions that demand deeper reasoning over your own data? Tired of kludging multiple services together?\n\n* **Sign up** at [app.sciphi.ai](http://app.sciphi.ai) (free tier included).\n* **Dive into repo** on [Github](https://github.com/SciPhi-AI/R2R)\n* **Book an exploratory call** [here](https://calendly.com/owen-uzg/sciphi-demo)\n\n---\n\n### About Us\n\nWe’re a team of AI veterans who contributed heavily to the open-source R2R project. Seeing how complicated “truly agentic” retrieval can be, we launched **SciPhi Cloud**—so you can enjoy advanced retrieval and multi-step reasoning at scale without the infrastructure burden.",
        "url": "https://www.ycombinator.com/launches/N4p-r2r-open-source-agentic-retrieval-system-with-deep-research-api",
        "votes": 18,
        "created_at": "2025-03-17T18:17:03.540Z"
      },
      {
        "id": 79568,
        "title": "SciPhi - Build, deploy, and optimize AI retrieval",
        "tagline": "An open source platform that enables developers to build the best RAG system.",
        "body": "**TL;DR**: [SciPhi](https://www.sciphi.ai/) is a **cloud platform** that simplifies the deployment and optimization of production-ready Retrieval-Augmented Generation (**RAG**) pipelines for developers. Built on top of the robust **open source** **R2R** framework, SciPhi enables builders to focus on creating innovative applications rather than managing infrastructure.\n\n[**SciPhi Cloud Demo**](https://www.youtube.com/watch?v=ANWAGCzGQUU&ab_channel=redfauna101)\n\n**The Problem**\n\nRAG is fundamentally a search problem, and search at scale is hard. While deploying a basic RAG pipeline is relatively straightforward, scaling it to meet the diverse needs of a growing user base and/or dataset presents significant challenges. As indexed data grows, query times can slow down, leading to a diminished user experience. Further, different users will have varying complaints about system performance, depending on their specific use case and data set.\n\n**📦 SciPhi's Solution**\n\n* Seamless deployment of RAG pipelines to the cloud in just a few clicks\n* Customizable configurations via an intuitive config.json file to specify vector DB, embedding settings, LLMs, etc.\n* Secure secret management to encrypt and store API keys and other sensitive info\n* Automatic scaling to handle increased traffic and data volumes as your app grows\n* Built-in monitoring, logging, and A/B testing to gain insights and optimize performance ￼\n\n![uploaded image](/media/?type=post&id=79568&key=user_uploads/372342/4fa047ca-3982-4c2d-b0f9-f1ea5d48c348)\n\n![uploaded image](/media/?type=post&id=79568&key=user_uploads/372342/0f4b026d-ba30-4526-ba9d-5d3019a76df2)\n\n![uploaded image](/media/?type=post&id=79568&key=user_uploads/372342/3208055b-d3f6-43b8-b8dc-394621376af4)\n\n![uploaded image](/media/?type=post&id=79568&key=user_uploads/372342/2f7fc1cf-3fb1-4909-a61c-e6e8814946a5)\n\n**Meet the Founder**\n\nSciPhi was founded by [Owen](https://www.linkedin.com/in/owencolegrove/) (CEO), who brings a unique perspective to the world of RAG. With a PhD in particle physics and experience creating quantitative research strategies at Citadel, Owen understands the challenges of working with large-scale data systems. As a second-time founder, he grew frustrated by the lack of tooling available to optimize RAG pipelines while building an open-source semantic search engine+agent. This experience started him on the path to creating SciPhi.\n\n**Our Ask**\n\n* 🚀 Sign up for early access at [app.sciphi.ai/login](https://app.sciphi.ai/login)\n* 💬 Join our [Discord](https://discord.gg/p6KqD2kjtB) community to connect with other RAG enthusiasts\n* [⭐](https://emojipedia.org/star) Check out the [R2R Github repository](https://github.com/SciPhi-AI/R2R/tree/main) and leave us a star\n* 🙌 Share this post with developers and teams looking to harness RAG in production\n\nWe're on a mission to empower developers to build state-of-the-art RAG pipelines. If that resonates, come build the future with us! Reach out to [founders@sciphi.ai](mailto:founders@sciphi.ai) to chat.",
        "url": "https://www.ycombinator.com/launches/KhM-sciphi-build-deploy-and-optimize-ai-retrieval",
        "votes": 89,
        "created_at": "2024-03-21T14:18:21.767Z"
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    "name": "Upsolve AI",
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        "full_name": "Ka Ling Wu",
        "title": "Founder/CEO",
        "founder_bio": "Ka Ling is the Co-founder & CEO of Upsolve AI. Before Upsolve, Ka Ling led product solution development at nPlan, a Series A AI & Construction tech startup, focusing on client expansion. Before her stint at nPlan, she spent four years at Palantir where her responsibilities ranged from managing client engagements and stakeholder relationships to spearheading the creation of Palantir's HyperAuto product from inception to market launch. Ka Ling also opened the Korea market for Palantir.",
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        "linkedin_url": "https://linkedin.com/in/wukaling",
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        "full_name": "Serguei Balanovich",
        "title": "Founder/CTO",
        "founder_bio": "Serguei is the Co-founder & CTO of Upsolve. Before Upsolve, Serguei spent seven years at Palantir where he pioneered early Supply Chain and Manufacturing commercial work, and later productized this work into Palantir HyperAuto. Serguei also worked on Palantir Apollo as a dev lead.\nOutside of software, Serguei loves puzzles, board games, and teaching.",
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        "id": 82224,
        "title": "Founding AI Engineer",
        "url": "https://www.ycombinator.com/companies/upsolve-ai/jobs/WCoJcdG-founding-ai-engineer",
        "location": "London, England, GB",
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        "experience": "6+ years",
        "visa": "US citizenship/visa not required",
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    "news": [
      {
        "title": "Here's the pitch deck that secured $1.5 million from Hubspot",
        "url": "https://www.smartcompany.com.au/exclusive/pitch-deck-upsolve-ai-secured-1-5-million-hubspot/",
        "date": "Sep 18, 2024"
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        "id": 103717,
        "title": "🐳 Upsolve AI - Agent Studio for Data Team",
        "tagline": "Deploy trustworthy and governed analytics agent that know your business and data.",
        "body": "**🏆 TL;DR:** Upsolve AI is context infrastructure for analytics agents. We help data teams ship analytics agents that non-technical users actually trust. Agents that pull the _right_ numbers and explain them in your business's context, not just generate plausible SQL. If you've ever tried to put an analytics agent in front of your team and quietly killed it after it gave two different answers to the same question, this is for you.\n\n<https://youtu.be/2bXZb6D-cNA>\n\n## ❌ **The Problem**\n\n\"Let's just build an analytics agent.\" Every data team drowning in requests has this thought. The beta feels like magic until a non-technical user asks the same question three times and gets two different answers. Trust dies. The project quietly joins the 95% of AI POCs that never reach production.\n\nYou already know it's not the model, GPT and Claude write fine SQL. The model just has no idea how _your_ business works:\n\n* **Governance and permission can't live in a prompt.** You can't trust an LLM to implement row- and column-level access or enforce who sees what. Without governance that an agent can't override, you can't put it in front of anyone outside the data team.\n* **It pulls the wrong data and joins the wrong tables.** “gross_revenue” vs “net_revenue”, “customers” vs “users”. A semantic layer problem dressed up as a text-to-SQL one.\n* **Technically correct, practically wrong.** Your fiscal year ends in March, not December. The number is \"correct\" and still useless.\n* **Your semantic layer and context goes stale.** \"User\" got redefined twice since you scoped the project. Your semantic layer and context didn't keep up.\n* **No observability, no improvement.** If you can't trace and root-cause a bad answer, you can't improve it.\n\nThese aren't LLM model problems. They're context problems, and context lives in docs, Slack threads, validated SQL from 2021, and your analysts' heads. No amount of SQL generation skill recovers it.\n\n## ⚒️ What Agent Studio gives you\n\nA builder surface to encode context across three layers: **Structure** (schema, lineage, semantic model), **Meaning** (metrics, KPIs, business rules), and **Trust** (verified answers, usage signals, golden sets), then deploy and tune against it:\n\n![uploaded image](/media/?type=post&id=103717&key=user_uploads/1148602/44acebc6-4f8c-4fb2-86e0-cc9959bbd2df)\n\n* **Software-defined, granular permissioning** baked into the data model, enforced beneath the agent.\n* **A self-updating context layer** that captures institutional knowledge across your files and systems, so metric redefinitions and new launches don't silently break answers.\n* **End-to-end tracing, an eval harness, and a staging sandbox**. Golden query sets and LLM-as-judge scoring before a single user sees an answer, plus prompt and SQL provenance for every response in production.\n* **A compounding accuracy loop**. Wrong answers and poor behavior get flagged from real conversations and fed back, so the agent gets _more_ trustworthy over time.\n\n**End result:** No existing semantic model required to start. Your team deploys analytics agents they don't have to babysit, and your non-technical users get answers they trust, wherever they already work (Slack, your product, internal portal, or any MCP surface).\n\nTeams hit production-grade eval accuracy, clear 60–80% of their ad-hoc backlog in 7 days, and move stakeholders from a 3–5 day queue to answers in seconds.\n\n![uploaded image](/media/?type=post&id=103717&key=user_uploads/1148602/79a3a29c-482f-4119-92f5-38612bd34bdb)\n\n## 🤝 Why trust us\n\nWe’re already in production with Fortune 500 users, 100+ person BI teams, and growth-stage companies. We are the team that built HyperAuto at Palantir, and encoding messy institutional context into systems is the problem we've spent years on.\n\n## 🙏 Our ask\n\nThis is for you if you own a data or BI function and you're either:\n\n* Drowning in ad-hoc requests, where **repeat questions eat your analysts' week** and a generic GPT-on-the-warehouse attempt already fizzled, or\n* A **B2B SaaS team whose customers keep asking for deeper analytics and insights** and you don't want to spend two quarters of engineering effort building it.\n\nIf you're a Head of Data, BI lead, analytics engineer, or VP Product who lives this, [**book a demo here**](https://calendly.com/kaling-aqk/upsolve-initial-exploration) or reach me directly at [kaling.wu@upsolve.ai](mailto:kaling.wu@upsolve.ai). We'll stand up a POC against your real data warehouse, not a sandbox.",
        "url": "https://www.ycombinator.com/launches/Qyr-upsolve-ai-agent-studio-for-data-team",
        "votes": 14,
        "created_at": "2026-06-23T03:55:11.309Z"
      },
      {
        "id": 89121,
        "title": "🐳 Upsolve AI - Embed GenBI in Your App",
        "tagline": "Spoil your users with hyper-personalized customer-facing analytics and insights that adapt on demand and “Just-Works”.",
        "body": "# 🏆 **TL;DR**\n\nGeneric dashboards in SAAS platform suck. Some might even say they’re dead.\n\nBut nearly all SaaS apps need a dashboard to show proof of value to stakeholders. With [Upsolve AI](https://upsolve.ai/), delight your end users with customer-facing analytics that “Just Works”, Make them want to use the analytics and love your product more.\n\nOnce you Upsolve your platform with our GenBI solution, your end users get to access adaptive and hyper-personalized analytics simply by telling your platform their persona and what kind of KPIs they care the most. They can easily drill down into the data at the speed of thought via natural language prompting. Our AI also interprets the data and provides guided insights, shedding light on what matters the most. Our AI can then investigate the data further, provide additional insights to optimize decision making.\n\n# **🤨 Problem - Generic Dashboards in SaaS apps suck.**\n\n🗺️ Can you imagine planning a cross-continent trip with nothing but a paper map?\n\n⁉️ \"Duh.\" Of course not.\n\n😵‍💫 Yet this is precisely what SaaS users endure with traditional dashboards every day. They're like paper maps showing only major highways and cities—filled with generic metrics and charts that, for the most part, have zero relevance to your customer’s unique destination.\n\n**Users get no value out of generic dashboards.** CFO, Regional directors and store managers stare at identical metrics in your expensive SaaS platform that took months to implement. Both search for answers to different questions to achieve different objectives. Both get lost. Their mission controls shouldn’t look the same.\n\n**Your teams feel this pain too.** They’ve heard “can you get this chart for me?” from their end users way too many times. Visionaries become data query processors right when product innovation matters most. You end up building the infamous “Download CSV” button in your product or exposing an API to allow your customer to extract a data cut. As a result, you lose in-product user engagement prematurely.\n\n**Dashboards should give the end user that “it gets me” feeling without the overhead.** It should create moments of delight and clarity that elevate decision-making from burden to superpower. It should be part of the reason your customers choose your product. It should turn your customers into your advocates.\n\n# **💡 Solution - With Upsolve AI, you demonstrate and enhance your value to customers**\n\nIn a world of paper-map dashboards, Upsolve delivers the magic of Modern Map Apps for your customers' data to your end users. Give each end-user intelligent dashboards tailored to their goals and objectives, real-time alerts, and highlighting trends and insights worth doing something about— an all-in-one experience that transforms static metrics into operational brilliance. [Watch the demo video below](https://youtu.be/K6GiczydAQI):\n\nWe’re ready to power your customer-facing analytics and give your users those “aha!” moments with our AI features below:\n\n1. **AI Report Generator: Adaptive, Hyper-personalized Analytics and Dashboard** 🪄\\\n   Give every end user that bespoke experience they deserve. Upsolve’s next-gen dashboard spins up analytics and interfaces dynamically based on user’s unique role, surfacing precisely the KPIs that drive decisions, at the right time.\n\n   ![uploaded image](/media/?type=post&id=89121&key=user_uploads/1148602/9fb2c6dd-b242-44fd-9995-6aba0933bdb2)\n\n2. **AI Drill Down: Natural Language Slice & Dice**\\\n   Built to make data-driven decision more accessible to less tech-savvy users. Applying 5 filters? Text to SQL? Skip these all together. Let you users query in natural language and watch the magic happen at the speed of thought.\n\n   ![uploaded image](/media/?type=post&id=89121&key=user_uploads/1148602/6fe57514-06d4-44d2-b1ff-4d78ec735a1e)\n\n3. **AI-Guided Insights: Interpretation**\\\n   An AI that picks up the signs for you 🎏 Upsolve flags important data signals and anomalies and push alerts to the user automatically, with no need to set up any automations up front.\n\n   ![uploaded image](/media/?type=post&id=89121&key=user_uploads/1148602/c946ad6b-36bc-4f63-bfb7-e732ede6178b)\n\n4. **AI-powered Investigation: Great analysts identify what users DIDN’T ask for but what they actually need**\\\n   Upsolve connects the dots, spots the trends, and asks questions you didn’t even think of to get the big “whys” answered. Guide your team’s decisions with AI-powered nudges.\n\n   ![uploaded image](/media/?type=post&id=89121&key=user_uploads/1148602/26a6d178-c603-4cc0-aeab-0df6614289a0)\n\n\nGive your users a dashboard, along with a customer success manager, AND a data analyst that proactively provides intelligence without them asking. That’s Upsolve AI, the all-in-one data experience your customers deserve, without you lifting a finger.\n\n# **🙏 Ask**\n\nTempted to Upsolve your product and embed GenBI in your product? Grab a time slot [here](https://calendly.com/kaling-aqk/upsolve-initial-exploration) with us today or reach us at kaling.wu@upsolve.ai!\n\n![uploaded image](/media/?type=post&id=89121&key=user_uploads/1148602/2c9606ff-c549-4c9d-a83d-15ec22fb82ce)\n\n",
        "url": "https://www.ycombinator.com/launches/NBR-upsolve-ai-embed-genbi-in-your-app",
        "votes": 45,
        "created_at": "2025-03-31T15:41:46.714Z"
      },
      {
        "id": 84312,
        "title": "🐳 Upsolve AI - Embedded Business Intelligence (BI)",
        "tagline": "Allow yours users to build and customize their dashboards and reports within your platform.",
        "body": "🏆 **TLDR**\\\n[Upsolve AI](https://upsolve.ai/) allows you to build and deliver customer-facing analytics to your end-users via an embeddable dashboard.\n\nWe’ve just released our newest feature: **Personal Workspace for dashboards. This allows your end users to build their own dashboards and reports within your product.** Your users no longer need to wait for your customer success manager or product team to get the metrics or reports they need! 📈\n\nSome examples of how our customers enable their end users with this Upsolve feature:\n\n* An expense management platform allows their end users to build out customized receipt audit reports\n* An AI observability platform enables their solution engineers and enterprise customers to build tailored observability metrics report\n* A supply chain risk management platform empowers their Fortune 500 customers to build out targeted supply chain visibility dashboard\n\n**🤨 Problem**\\\nMost B2B SaaS companies need to build dashboards. [**A true dashboard communicates your product value to all stakeholders of your customers, even — and especially — those who never use the app.**](https://www.saastr.com/want-go-upmarket-need-great-dashboard/) This is especially true for enterprise software.\n\nHowever, most, if not all, traditional dashboards failed to achieve this. Traditional dashboards are highly restrictive. Customers cannot customize the dashboard to fully understand their unique state of the world. This leads to frequent ad-hoc data cuts and reporting requests, causing operational friction with your customer support, product, and engineering teams. What’s worse, this means your users can’t get their questions answered right away, resulting in a subpar product experience.\n\n**💡 Solution - Personal Dashboard Workspace**\\\n“Upsolve your product” by embedding our component in your product. Your users gain the superpower to build out their own version of dashboards, either by building them from a blank canvas or by modifying the dashboard template you ship out. [Watch the demo below](https://youtu.be/hj7VJSC_LyU?feature=shared):\n\n1. Chart Explorer:\\\n   Your end users will now have access to all the verified/published charts your organization has provided. This means you can produce dozens of charts but leave it up to your end users to choose which of these charts they actually care to see and in which positions on their dashboard.\n\n   ![uploaded image](/media/?type=post&id=84312&key=user_uploads/1148602/09a4f16d-2f03-40e2-96b8-07e272beedd4)\n\n2. Point and Click Builder:\\\n   If none of the published charts are good enough for your end users' use cases, your end users can access a point-and-click chart builder. Any charts they produce will be surfaced back to you for potential reuse/sharing among your other users.\n\n   ![uploaded image](/media/?type=post&id=84312&key=user_uploads/1148602/743ca11c-4cb9-4144-bf34-1a260c049b9e)\n\n\n**🙏 Ask**\\\nIs this a problem you are facing, and do you want to solve it at the root? Tempted to Upsolve your product? Grab a time slot [here](https://calendly.com/kaling-aqk/upsolve-initial-exploration) with us!",
        "url": "https://www.ycombinator.com/launches/Lvs-upsolve-ai-embedded-business-intelligence-bi",
        "votes": 57,
        "created_at": "2024-09-26T15:01:45.124Z"
      },
      {
        "id": 78495,
        "title": "🐳 Upsolve AI - The new way to build and offer analytics to your customers",
        "tagline": "Build customer-facing analytics that get your users to take in-product actions and become obsessed with your product!",
        "body": "### **🏆 Tl;dr:**\n\n[**Upsolve AI**](https://upsolve.ai/) **helps companies build and offer analytics to their customers**, with AI answering any additional data questions. Ship analytics using an AI-powered builder, and embed them as native frontend components in your product. The dashboard shows your customers insights about your product and guides them with action recommendations to boost your product’s effectiveness. For example, [marketing companies](https://upsolve.ai/impact-study/fiber) use Upsolve to help users optimize their campaigns, and fintech companies use it to help users manage their accounts. [Watch our demo!](https://youtu.be/Vobh2hw_Pgk)\n\n### **💯 The Team**\n\nTogether, [Ka Ling](https://www.linkedin.com/in/wukaling/) and [Serguei](https://www.linkedin.com/in/sbalanovich/) have over 15 years of experience in data engineering and analytics. We took Palantir's Hyperauto (mentioned in Palantir's DPO S-1) from inception to launch, scaling the product to serve more than 50 enterprise customers in less than 2.5 years and generating eight figures in annual revenue.\n\nHaving experienced firsthand the challenges of building customer-facing analytics at startups and working alongside users from over 100 companies, including Fortune 10 (we’ve been on the frontlines at factories and assembly lines with users!), we're determined to simplify data analytics. That's why we created Upsolve AI - to automate and augment analytics. We're committed to ensuring that no business is limited by its analytics-building capabilities and enabling every end user to make informed decisions based on their data.\n\n![uploaded image](/media/?type=post&id=78495&key=user_uploads/1148602/0496fa95-d371-4744-bc52-895cb3457400)\n\n## **❌ The Problem**\n\n🔨 **Building customer-facing analytics is hard:** As a founder or SaaS product owner, you understand the importance of data-driven decision-making. However, developing customer-facing analytics dashboards that empower your end users to make decisions requires expertise and can get complex.\n\n⏳ **Traditional dashboards go stale and are highly restrictive:** Customers need customized and dynamic analytics to fully understand their unique state of the world. Traditional dashboards quickly lose value and become outdated as customers seek analytics customization, leading to frequent ad-hoc data cuts and reporting requests, causing operational friction.\n\n⚙️ **Seeing analytics doesn’t mean better action:** Your customers are likely slammed with data from various products and services that they consume and, as a result experiencing decision paralysis due to information overload.\n\nBuilding effective analytics becomes a strain on your engineering resources, hindering user engagement, retention, and revenue growth.\n\n## **📈 The Solution**\n\n🛠️ **Build fast**\n\nUsing Upsolve AI, you can build customer-facing analytics dashboards simply by asking questions or via point-and-click, and theme them to your company’s design system.\n\n![uploaded image](/media/?type=post&id=78495&key=user_uploads/1148602/2f388753-7ee0-4153-a747-737274cc8f97)\n\n**🚀 Instantly deploy**\n\nOnce that is built, you can embed the dashboard natively in your product as a React or Vue component. “WYSIWYG”, the dashboard will look like it’s been built from scratch by your software engineers and will seamlessly fit into your existing design system.\n\n![uploaded image](/media/?type=post&id=78495&key=user_uploads/1148602/b2a830ed-644f-49cb-b817-25ad2eff3fc6)\n\n❤️ **Help your customers**\n\nYour customers can ask questions of the data and customize their own version of the dashboard based on their unique needs. Upsolve AI will also guide them with analytics insights and in-platform actions. Customers will appreciate what your product is doing well for them and will make the most of it, without your team lifting a finger.\n\n![uploaded image](/media/?type=post&id=78495&key=user_uploads/1148602/d27b8d34-7ccf-432b-bc33-c79de8ede425)\n\n🔐 **Enterprise security**\n\nComing from Palantir, we understand the importance of keeping your data secure. Upsolve secures your data in transit and at rest and supports multi-tenancy support that works natively with your existing auth system. Simply drop the Upsolve SDK into your auth flow and users will see the version of their dashboard that’s configured for them.\n\n![uploaded image](/media/?type=post&id=78495&key=user_uploads/1148602/f05fb5b8-2560-488f-ba63-7f72b25102b8)\n\n# 🙏 Ask\n\nWe are live with our customers now! If you are looking to build your customer-facing analytics in your product, email [kaling.wu@upsolve.ai](mailto:kaling.wu@upsolve.ai) to try [Upsolve AI](https://upsolve.ai/).\n\nIf you know any B2B business in your network that’s looking to unlock their customer-facing analytics and reporting capability, we would greatly appreciate any warm introductions using the above email as well!",
        "url": "https://www.ycombinator.com/launches/KQ3-upsolve-ai-the-new-way-to-build-and-offer-analytics-to-your-customers",
        "votes": 532,
        "created_at": "2024-02-17T09:57:38.096Z"
      }
    ]
  },
  {
    "id": 29183,
    "name": "Navier AI",
    "slug": "navier-ai",
    "former_names": [
      "NavierAI"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/013b05510174120a0b1551eb38a764500bbd5525.png",
    "website": "http://navier.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Navier AI is building the first Agent-Driven Engineering platform.\r\n\r\nWe believe engineers should focus on designing great products, not wrestling with simulation software.\r\n\r\nNavier AI makes it simple to run CFD simulations at scale through our web-based platform built on OpenFOAM, the industry-standard solver for CFD. Our AI agents autonomously handle the complex, time-consuming steps of simulation—from geometry cleanup and meshing to solver configuration and cloud resource management.\r\n\r\nBy automating the tedious parts of the workflow, we enable engineering teams to move faster, explore more design possibilities, and spend their time on high-value engineering decisions.",
    "one_liner": "Agent-Driven Engineering",
    "team_size": 7,
    "industry": "Industrials",
    "subindustry": "Industrials -> Aviation and Space",
    "launched_at": 1708536461,
    "tags": [
      "Aerospace",
      "AI",
      "Automotive"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
      "Industrials",
      "Aviation and Space"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/navier-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/navier-ai.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/navier-ai/about/",
    "x_url": "https://x.com/NavierAI",
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/013b05510174120a0b1551eb38a764500bbd5525.png",
    "app_video_url": null,
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    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
    },
    "founders": [
      {
        "user_id": 1393398,
        "full_name": "Cameron Flannery",
        "title": "Founder",
        "founder_bio": "Cameron is an Aerospace Engineer and the cofounder of Navier AI. Cameron has built rocket engines, satellites, hydrofoiling containerships, and autonomous trucks in his career at some of the top engineering companies in the world. \n\nFormerly at SpaceX, Tesla, Aurora Innovation, Astranis, and Boundary Layer Technologies.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/cameronflannery",
        "x_url": "https://twitter.com/cmflanne",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/985b89b1aca704cafbe63c9597fbc148a50491f9.jpg"
      },
      {
        "user_id": 1438060,
        "full_name": "Evan Kay",
        "title": "Founder",
        "founder_bio": "Evan is an Aerospace Engineer and the co-founder of Navier AI. Evan formerly worked at SpaceX and General Atomics, where he was designing and metal 3D printing rocket engine and aircraft components. Prior to Navier AI, Evan was also a hard tech investor at Anzu Partners, where he invested in early-stage industrial technologies.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/evankay1",
        "x_url": "https://twitter.com/Evan_Kay",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3ab60b72932efe798ad5b4dbffb6f0b8db7f4d6e.jpg"
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    "news": [
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        "title": "AI engineering startup Navier raises $5.6M seed for hardware design",
        "url": "https://www.axios.com/pro/enterprise-software-deals/2025/12/15/navier-ai-engineering-hardware-design",
        "date": "Dec 15, 2025"
      },
      {
        "title": "Rescale and Navier AI Partner to Accelerate Computational Engineering with AI Physics - Rescale",
        "url": "https://rescale.com/blog/rescale-and-navier-ai-partner-to-accelerate-computational-engineering-with-ai-physics/",
        "date": "Mar 13, 2024"
      }
    ],
    "launches": []
  },
  {
    "id": 29184,
    "name": "DryMerge",
    "slug": "drymerge",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d1f059f261793064d1e71c446f372bef42ee5e12.png",
    "website": "https://www.drymerge.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We create AI agents that constantly monitor emails, calendar, calls, or wherever else companies have relationship data and organize it into CRM records as meticulously as a great rep would.\r\n\r\nWe build these agents on top of the DryMerge platform, a tool to build AI agents that integrate with business apps and work in the background.\r\n",
    "one_liner": "AI that updates your CRM for you",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1701198714,
    "tags": [
      "CRM",
      "Automation",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/drymerge",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/drymerge.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/98894763/",
    "x_url": "",
    "fb_url": null,
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d1f059f261793064d1e71c446f372bef42ee5e12.png",
    "app_video_url": null,
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    "company_photos": [],
    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
    },
    "founders": [
      {
        "user_id": 1523010,
        "full_name": "Samuel Brashears",
        "title": "Founder",
        "founder_bio": "CTO DryMerge, formerly Cerebras Systems and Hive AI.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/samuel-brashears000",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/727ecda8a8e5bcfcc8e9c55938be592d588b0c9d.jpg"
      }
    ],
    "jobs": [
      {
        "id": 70506,
        "title": "Founding Fullstack Engineer",
        "url": "https://www.ycombinator.com/companies/drymerge/jobs/Tned0vP-founding-fullstack-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$115K - $175K",
        "equity_range": "1.00% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
          "JavaScript",
          "Rust"
        ]
      },
      {
        "id": 76735,
        "title": "Sales Development Representative",
        "url": "https://www.ycombinator.com/companies/drymerge/jobs/oM6myJT-sales-development-representative",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$80K - $120K",
        "equity_range": "0.25% - 0.75%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "Announcing our $2.2M Seed Round",
        "url": "https://drymerge.com/blog/announcing-our-seed-round",
        "date": "Sep 16, 2024"
      },
      {
        "title": "DryMerge promises to connect apps that normally don't talk to each other — and when it works, it's great | TechCrunch",
        "url": "https://techcrunch.com/2024/09/15/drymerge-promises-to-connect-apps-that-normally-dont-talk-to-each-other-and-when-it-works-its-great/",
        "date": "Sep 15, 2024"
      }
    ],
    "launches": [
      {
        "id": 89149,
        "title": "DryMerge - AI that updates your CRM for you.",
        "tagline": "AI agents that monitor your customer interactions and organize them into CRM records.",
        "body": "Hey everybody! We’re super excited to announce that you no longer have to update your CRM. \n\n**TL;DR:** AI agents that monitor your customer interactions across every channel — from call transcripts to Slack messages — and organize them into CRM records. We eliminate manual data entry for reps and make your CRM a perfect source of truth.\n\nIf you’re interested in perfect CRM data with no manual effort, book a meeting with us [here](https://cal.com/edwardfrazer/drymerge-consultation).\n\n<https://youtu.be/nLkEsqRNO6c>\n\n## **The Problem**\n\nCRMs like Salesforce and HubSpot are only useful when populated with really good data. Without good data, pretty much every CRM feature like reporting, forecasting, automation, etc. becomes either useless or actively harmful. The problem is that updating the CRM with good data is **hard**, and **traditional methods don’t work.**\n\n\\\nThere’s two main ways CRMs get updated today:\n\n1. A rep manually writes notes, updates deal stages, fills in custom fields, and generally does a whole lot of data entry.\n2. A CRM integration ‘captures’ activity from email/calendar and copy pastes it into the CRM automatically.\n\nBut _both of these fail_. Why?\n\nCRM integrations don’t organize data. They copy-paste unstructured data into your CRM, but to be _useful_ data needs to be structured & organized into records (new contacts, deal stage updates, intelligent notes, custom field changes, etc). Activity capture is not good at that.\n\nReps can organize data into records, but, like many highly manual & repetitive things, they _hate_ it and are bad at it. Human CRM updates become very error-prone and inconsistent (or nonexistent).\n\n**The Solution**\n\n<https://youtu.be/WtH2W81lnQs>\n\nWe create AI agents that constantly monitor your emails, calendar, calls, or wherever else you have relationship data and organize it into CRM records as meticulously as a great rep would.\n\nThis looks like enriching and creating contacts, writing detailed & specific notes, associating related records, updating deal stages, scoring leads, etc.\n\nThe agents work in the background — you never have to touch our UI or touch your CRM; just work as you would normally and our agents keep track of everything.\n\nWe integrate with over 50 business apps and CRMs like Salesforce, HubSpot, Pipedrive, and Zoho. We add new integrations quickly!\n\nOur agents are tailored to your deal process and the information you want to record. \n\n* For example, one of our B2B SaaS customers really cares about creating notes after calls with information like what connectors an enterprise is using and whether they’re self-hosting or not. They want the notes associated with the correct opportunity, account, & all stakeholder contacts.\n* On the other hand, financial services firms we work with have tons of domain-specific custom fields, custom objects, and deal stages they want to populate from email exchanges.\n\nSince our agents follow arbitrary plain English instructions, we can accommodate almost every deal process.\n\n## **How did we arrive at this problem?**\n\nOur core product is a platform to build integrated AI agents that work in the background. Over the last 10 months, by far the most popular use-case we served were agents to update CRMs. We leaned into this demand and designed towards making these agents great. They’re capable of operating in very large CRMs with > 99% reliability on updates.\n\n## **The Ask**\n\nIf you have CRM data problems (either because you don’t update the CRM or your reps struggle with it), feel free to grab some time [here](https://cal.com/edwardfrazer/drymerge-consultation)! Let’s chat :) \n\nIf you know any RevOps or Sales Ops leaders who struggle with keeping their CRM up to date, we’d really appreciate an intro ([founders@drymerge.com](mailto:founders@drymerge.com))!",
        "url": "https://www.ycombinator.com/launches/NBt-drymerge-ai-that-updates-your-crm-for-you",
        "votes": 10,
        "created_at": "2025-04-01T14:28:33.618Z"
      },
      {
        "id": 78755,
        "title": "🚀 DryMerge: Automate work with plain English",
        "tagline": "Describe your frustrating or repetitive workflow and get an automated solution in seconds.",
        "body": "**TL;DR:** [DryMerge](https://drymerge.com/) lets you automate workflows with plain English. Some interesting examples…\n\n* “Whenever I get an email from a potential customer, add them to HubSpot and send me a text”\n* “Summarize the conversation I had with Sam on Slack and email it over to Henry.”\n* “Whenever I finish a Google Meet with a client, update the call notes and next steps in Salesforce.”\n\nTry us out [**here**](https://auth.drymerge.com/en/signup) **for free!** Get in touch at [founders@drymerge.com](mailto:founders@drymerge.com).\n\n![uploaded image](/media/?type=post&id=78755&key=user_uploads/865934/9a408a09-72af-4d80-bbf1-d1ada107b407)\n\n### Our Goal\n\nWe want to help knowledge workers take back the **5 weeks a year** they spend switching between tools and handling repetitive tasks. We do this by letting you make automations in a chat, with plain simple language. Here’s how it works.\n\n* After you say what you want to automate, DryMerge makes a plan, breaks the task up into simple steps, and, if needed, makes the automation automatically respond to events.\n* DryMerge integrates with tools like Slack, Gmail, Google Sheets, Google Meet, SMS, HubSpot, Salesforce, Notion, and GitHub to automate work across tools. We’re adding more integrations fast!\n* DryMerge knows about your team so you can say things like “Text Julie a summary of my recent conversation with John on Slack” and watch it actually happen.\n\n![uploaded image](/media/?type=post&id=78755&key=user_uploads/865934/dc55a4ff-fa9d-4049-8231-7758c5aa56aa)\n\n### Why?\n\nThere are many automation platforms out there, but we’re the first to take “plain English” seriously. [Sam](https://linkedin.com/in/samuel-brashears000) and I ([Edward](https://linkedin.com/in/edward-frazer)) hate struggling with deceptively complicated no-code builders and fidgeting with flaky scripts. We want to build a product that makes powerful software _extremely_ easy to use for people who find working with today's automation tools challenging. \\\n\\\nWe think the best way to do that is by letting people use their software with plain language.\n\nWe’ve known each other since 4th grade and worked at places like Stripe, Hive, Facebook, and AWS. We’re so excited to launch this product and help you automate!\n\n![uploaded image](/media/?type=post&id=78755&key=user_uploads/865934/3484b9a7-3229-435b-a2ed-3db33e5072a2)\n\nIf you’d like to try us out, please do [here](https://drymerge.com/app)! We’re also available at [founders@drymerge.com](mailto:founders@drymerge.com) or to meet [here](https://cal.com/edwardfrazer+sambrashears/meet).",
        "url": "https://www.ycombinator.com/launches/KUF-drymerge-automate-work-with-plain-english",
        "votes": 109,
        "created_at": "2024-02-26T17:30:03.132Z"
      }
    ]
  },
  {
    "id": 29185,
    "name": "Relari",
    "slug": "relari",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d8724ca6da40d81a8aadbd3cf9cf5fbaa58ac997.png",
    "website": "https://www.relari.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Relari is a robotics research company developing new ways for robots to learn dexterous manipulation from humans. We combine video with rich, scalable biomechanical data—including electromyography (EMG), motion, force, and touch—to train robotics foundation models for more capable, human-like manipulation.",
    "one_liner": "Building dexterous robots that learn from human biomechanics",
    "team_size": 4,
    "industry": "Industrials",
    "subindustry": "Industrials -> Manufacturing and Robotics",
    "launched_at": 1709879960,
    "tags": [
      "Robotics"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
      "Industrials",
      "Manufacturing and Robotics"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/relari",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/relari.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/relari",
    "x_url": "https://x.com/relariai",
    "fb_url": null,
    "cb_url": null,
    "github_url": "https://github.com/relari-ai/",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d8724ca6da40d81a8aadbd3cf9cf5fbaa58ac997.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [
      "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/23fd0aa60eb175a501ea1228afb056d31d6dc5bf.png"
    ],
    "primary_partner": null,
    "founders": [
      {
        "user_id": 983988,
        "full_name": "Yi Zhang",
        "title": "Founder",
        "founder_bio": "Co-Founder & CEO of Relari. Previously building autonomous cars & trucks at Pony.ai and warehouse robots at Dexterity.ai. Harvard MBA.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/yizhang0123",
        "x_url": "https://twitter.com/Yiszzzz",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d055e5f1485a40abcce6e3419a1108537fecd4a4.jpg"
      },
      {
        "user_id": 1884040,
        "full_name": "Pasquale Antonante",
        "title": "Founder",
        "founder_bio": "Co-Founder & CTO of Relari. I have a PhD from MIT focusing on the reliability of complex AI systems such as autonomous cars. Previously at NVIDIA and Raytheon Technologies (previously United Technologies).",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/pasquale-antonante-5306524a",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/45803c3461bd6b70f33bfa7b9c35a577b4825f7d.jpg"
      }
    ],
    "jobs": [
      {
        "id": 106785,
        "title": "Research Engineer, Robot Learning",
        "url": "https://www.ycombinator.com/companies/relari/jobs/vZgIE15-research-engineer-robot-learning",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Robotics",
        "salary_range": "$125K - $175K",
        "equity_range": "0.25% - 2.00%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 106811,
        "title": "Research Engineer, Human Biomechanics",
        "url": "https://www.ycombinator.com/companies/relari/jobs/xoRkCNW-research-engineer-human-biomechanics",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Science",
        "role_type": "Research",
        "salary_range": "$125K - $175K",
        "equity_range": "0.25% - 2.00%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 106812,
        "title": "Hardware Engineer",
        "url": "https://www.ycombinator.com/companies/relari/jobs/CLokIVv-hardware-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Hardware",
        "salary_range": "$125K - $175K",
        "equity_range": "0.25% - 2.00%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 106813,
        "title": "Software Engineering Intern",
        "url": "https://www.ycombinator.com/companies/relari/jobs/WfW1xjj-software-engineering-intern",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Robotics",
        "salary_range": "$40 - $60 / hourly",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 106814,
        "title": "Data Operations Lead",
        "url": "https://www.ycombinator.com/companies/relari/jobs/pjJ1WLP-data-operations-lead",
        "location": "San Francisco, CA, US / Remote",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$100K - $150K",
        "equity_range": "0.25% - 1.00%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 91726,
        "title": "Nuvi – The AI Agent Builder for Software 3.0",
        "tagline": "Write specs in natural language. Get working agents. It’s that simple.",
        "body": "![uploaded image](/media/?type=post&id=91726&key=user_uploads/983988/7e12281e-7f3b-4f82-b803-dd815931d5c8)\n\n### **TL;DR**\n\nEveryone wants to build AI agents. But doing it right is still way too hard.\n\nYou can build a website with natural language in tools like Lovable. But if you want to build AI agents, you're stuck dragging blocks or writing code.\n\n[**Nuvi**](https://www.nuvi.dev) is the AI agent builder for Software 3.0: Write specs in plain English. Get testable, verifiable behavior — out of the box.\n\n---\n\n## **❌ The Problem**\n\nBuilding AI agents still means building behavior manually — whether you’re writing code, dragging blocks, or tweaking prompts.\n\n* **Tools like n8n** let you create agents without code, but you’re still wiring up logic step by step.\n* **Tools like Cursor** help you code faster, but you still need to know what code to write.\n\nAt the same time, **tools like Lovable have shown what’s possible with natural language** — you can build and launch a polished UI in minutes.\n\nKarpathy called it years ago: _“English is the hottest new programming language.”_ But while we’ve embraced it for websites and weekend projects, there’s still no reliable Lovable for building AI agents.\n\n**Intelligent software still lacks a way to go from natural language to tested, trusted behavior.**\n\nWe need a system where intent becomes implementation — with structure, simulation, and shared understanding built in.\n\n---\n\n## **🎯 The Solution: Nuvi**\n\nNuvi lets anyone define, build, and deploy intelligent agents using natural language — with the **structure and guarantees** of real software development.\n\nWhat makes us different:\n\n🧠 **All in Natural Language**\n\nIf you can explain what you want, Nuvi helps you build it. No coding, no frameworks, no LLM know-how required.\n\n![uploaded image](/media/?type=post&id=91726&key=user_uploads/983988/e8536123-efac-4c99-8924-a3798a077a15)\n\n**🤝 Built for Collaboration**\n\nSpecifications are readable, editable, and versioned — so people across different teams stay aligned.\n\n![uploaded image](/media/?type=post&id=91726&key=user_uploads/983988/2b0f6f88-9d1d-473b-8e76-6e8c3ad190eb)\n\n🧪 **Fully Tested by Default**\n\nUser stories become behavioral tests. You can simulate how your agent behaves _before_ launch — and continuously validate after. Using only language.\n\n![uploaded image](/media/?type=post&id=91726&key=user_uploads/983988/d18df70f-0181-4ec0-83f0-208bab3379aa)\n\n⚙️ **One-Click Deployment**\n\nClick to deploy. Built-in access control and integrations mean you go from idea to agent in minutes.\n\n![uploaded image](/media/?type=post&id=91726&key=user_uploads/983988/7c089cfe-87e5-44c6-9472-e81963a1431f)\n\n---\n\n## **✅ Nuvi Agents at Work**\n\nAgents built with Nuvi are already transforming how real work gets done — here are a few examples:\n\n* A legal SaaS company built a custom BDR agent that scans hundreds of court filings daily, flags high-complexity cases, and drafts tailored outreach directly in HubSpot.\n* A mortgage brokerage built a fulfillment agent that processes messy loan documents, checks them against underwriting rules, and saves hours of manual review on every application.\n* An international nonprofit built an AI coach that interviews underserved small business owners, generates detailed financial forecasts, and dramatically scales personalized support.\n\n---\n\n## **💡Our Secret sauce: Specification-as-Source**\n\nIn his recent AI Startup School keynote, Andrej Karpathy revamped the idea of **Software 3.0** — where we write software using English instead of code.\n\nBut English alone isn’t a programming language. If it were, we wouldn’t have invented C or Python. For English to work as code, it needs structure (but we can now relax how much structure we need). That’s what Nuvi provides.\n\n**🧠 1. AI Specification Assistant**\n\nDescribe the agent in plain English. Nuvi helps you clarify goals, cover edge cases, and remove ambiguity — like a linter for intent.\n\n**🧾 2. Specification-as-Source**\n\nThe spec _is_ the agent’s source code. It’s structured, complete, and readable by both humans and machines.\n\n**⚙️ 3. One-Click Agent Compilation**\n\nWe compile your spec into a live agent. Just like devs once implemented PRDs — but this time, the AI does it.\n\n**🧪 4. Simulation & Continuous Testing**\n\nUser stories become test cases. You can simulate the agent’s behavior before launch — and verify it keeps working after.\n\nNuvi is the behavioral compiler for Software 3.0. Not another prompt wrapper. Not another no-code toy. Real behavior. From real specs. Written in plain English.\n\n---\n\n## **🙌 Our Ask**\n\n* Try Nuvi and build your first agent — all in plain English.\n* Want to join the mission, collaborate, or write about us? Reach out at [nuvi.dev](https://www.nuvi.dev/)",
        "url": "https://www.ycombinator.com/launches/NrS-nuvi-the-ai-agent-builder-for-software-3-0",
        "votes": 17,
        "created_at": "2025-06-30T16:10:38.865Z"
      },
      {
        "id": 79322,
        "title": "Relari - Testing and simulation stack for GenAI systems",
        "tagline": "Relari helps AI teams simulate, test, and validate complex GenAI applications throughout the development lifecycle.",
        "body": "# **TL;DR**\n\n[Relari](https://www.relari.ai/) is an open-source platform to simulate, test, and validate complex Generative AI (GenAI) applications. With 30+ open-source metrics, synthetic test-set generators, and online monitoring tools, we help AI app developers achieve a high degree of reliability in mission-critical use cases such as compliance copilot, enterprise search, financial assistance, etc.\n\n# **⭐ Meet the Relari Team**\n\nHi everyone, [Yi](https://www.linkedin.com/in/yizhang0123/) and [Pasquale](https://www.linkedin.com/in/pasquale-antonante-5306524a/) from [Relari](https://www.relari.ai/) here. We both spent years building safety-critical AI applications, particularly in autonomous driving and robotics. Pasquale has a PhD from MIT where he researched fault detection in complex AI systems. Yi has an MBA from Harvard and led multiple AI products from concept to production including robo-taxis, self-driving trucks, and warehouse robots.\n\n![uploaded image](/media/?type=post&id=79322&key=user_uploads/983988/a8982b08-9cda-4741-bc17-eb3df31679e1)\n\n# **💡 Our Inspiration: Autonomous Vehicles**\n\nJust like autonomous vehicles promise to change how we move, GenAI applications promise to revolutionize the way we work. However, ensuring these systems are safe and reliable requires a shift in the development process. Autonomous vehicles need to drive billions of miles to ensure that they are safer than human drivers. This would take decades, so the industry relies on simulation and synthetic data to efficiently test and validate each iteration of the self-driving software stack.\n\nWe see a strong parallel in the world of GenAI. At [Relari.ai](https://www.relari.ai/), we are building towards a future where a similar infrastructure will enable complex and powerful applications based on large language models (LLMs).\n\n# **🔴 Problem: GenAI Apps are Unreliable**\n\nLLM-based applications can be inconsistent and unreliable. This blocks GenAI’s adoption in mission-critical workflows and hurts user confidence and retention once deployed to production. Good testing infrastructure is paramount to achieving the quality users demand, but GenAI app developers across startups and enterprises struggle to define the right set of tests and quality-control standards for deployment.\n\nThe main challenges the AI teams face are:\n\n* **Complex Pipelines:** GenAI pipelines are getting increasingly more complex and it is often difficult to pinpoint where problems originate.\n* **Gap from Evaluation to Reality:** There is a huge gap between the metrics used in offline evaluation and user feedback, leading to distrust in offline evaluation results.\n* **Lack of Relevant Datasets:** Public datasets are overfitted by models and often not relevant to specific applications. However, manual curation of custom datasets is extremely time-consuming and costly.\n\n# **🚀 Solution: Harden AI Systems with Simulation**\n\nRelari offers a complete testing and simulation stack for GenAI pipelines designed to directly address the problems above. Relari allows you to:\n\n* **Pinpoint problem root causes with modular evaluation:** Define your pipeline and flexibly orchestrate modular tests to quickly analyze performance issues. Our open source framework offers 30+ metrics covering text generation, code generation, retrieval, agents, and classification with more coming soon.\n\n  ![uploaded image](/media/?type=post&id=79322&key=user_uploads/983988/04a313af-1bb9-4469-a9d3-4f89c5132aa5)\n\n* **Simulate user behavior with close-to-human evaluators:** Leverage user feedback to train custom evaluators that are 90%+ aligned with human evaluators (backed by our research). Introduce a feedback loop connecting your production system and the development process.\n\n  ![uploaded image](/media/?type=post&id=79322&key=user_uploads/983988/908218e2-4462-43d5-a23d-7c005c927a29)\n\n* **Accelerate development with synthetic data:** Generate large-scale synthetic datasets tailored to your use case and stress test your AI pipeline. Ensure coverage of all the corner cases before shipping to users.\n\n  ![uploaded image](/media/?type=post&id=79322&key=user_uploads/983988/d78bb49e-ec9d-4519-909b-b46532751380)\n\n\n# **❤️ Our Ask**\n\n* ⭐ Star us on Github ([link](https://github.com/relari-ai/continuous-eval))\n* 📅 Book a demo with us ([link](https://cal.com/pasquale/relari-demo))\n* 👉 Introduce us to AI / ML / Data Science teams building mission-critical GenAI applications ([founders@relari.ai)](mailto:founders@relari.ai)",
        "url": "https://www.ycombinator.com/launches/KdO-relari-testing-and-simulation-stack-for-genai-systems",
        "votes": 75,
        "created_at": "2024-03-12T17:42:49.322Z"
      }
    ]
  },
  {
    "id": 29201,
    "name": "Legora",
    "slug": "legora",
    "former_names": [
      "Leya",
      "Legora",
      "Legora (formerly Leya)"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8ab1e73f4b43c259e677e877d53fe26dfac90b65.png",
    "website": "https://www.legora.com/",
    "all_locations": "Stockholm, Stockholm County, Sweden",
    "long_description": "Legora is redefining how legal work gets done. Built alongside lawyers, our AI-native workspace helps legal teams research, review documents, draft and complete complex workflows so they can focus on judgment, strategy and outcomes.\r\n\r\nMore than 2,100 customers across 80+ markets trust Legora, including Cleary Gottlieb, Goodwin, Linklaters, White & Case, Dentons and Barclays. We have scaled to $200M+ in ARR, with more than 900 people across 18 offices spanning Europe, North America and APAC.\r\n\r\nLegora raised $600M in Series D financing, including a $50M extension announced in April 2026, at a $5.6B valuation. The round was led by Accel, with Atlassian and NVentures joining in the extension.\r\n\r\nLearn more at https://legora.com/",
    "one_liner": "The agentic operating system for legal work",
    "team_size": 900,
    "industry": "B2B",
    "subindustry": "B2B -> Legal",
    "launched_at": 1695641655,
    "tags": [
      "Generative AI",
      "LegalTech",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
      "B2B",
      "Legal"
    ],
    "regions": [
      "Sweden",
      "Europe",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Growth",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": [
      {
        "question": "What's the history of your company from getting started until the present day? What were the big inflection points?",
        "answer": "Legora was founded in 2023 to build AI software for legal work. The company develops its platform alongside lawyers, combining research, document review, drafting and end-to-end workflows.\r\n\r\nIn March 2026, Legora announced a $550M Series D led by Accel. A [$50M extension announced in April 2026](https://legora.com/newsroom/legora-extends-series-d-with-additional-50-million-welcomes-atlassian-and-nventures-as-investors) brought the round to $600M at a $5.6B valuation, with Atlassian and NVentures joining as investors.\r\n\r\nLegora now serves more than 2,100 customers across 80+ markets and has scaled to $200M+ ARR. In October 2026, the company reported more than 900 people across 18 offices."
      },
      {
        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "Legal teams work with large volumes of documents, fragmented information and complex, time-sensitive matters. Repetitive research, review and drafting can take time away from the judgment, strategy and client advice that require legal expertise.\r\n\r\nLegora brings AI, information and collaboration into one workspace so legal professionals can research, review, draft and complete workflows with greater speed and precision. We build alongside lawyers to make the product useful in the way legal teams actually work."
      },
      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "Our vision is to give every lawyer the tools and freedom to focus on what matters most: advising clients and stakeholders, shaping outcomes and practising law at the highest level.\r\n\r\nWe are building the operating system for legal work, connecting information, communication and execution. AI should complement legal expertise, helping teams work together with confidence, efficiency and sharper judgment."
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        "user_id": 1091617,
        "full_name": "Max Junestrand",
        "title": "Founder",
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        "full_name": "Sigge Labor",
        "title": "Founder",
        "founder_bio": "Family tech support. I can reset grandparents' forgotten email passwords, and I plug in the HDMI for siblings. Graduated from Hyper Island and worked as a full-stack developer at startups since. Founded the first-ever Mexican hops company, but currently building the future of legal work at Leya (W24).",
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        "title": "Senior Full-stack engineer",
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        "location": "Stockholm, Stockholm County, SE",
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        "title": "Legal AI Startup Legora Raises $550 Million for US Expansion - Bloomberg",
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        "date": "Mar 10, 2026"
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      {
        "title": "Legora Valued at $1.8 Billion For AI Tool Doing Legal Grunt Work - Bloomberg",
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        "date": "Oct 30, 2025"
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        "url": "https://legora.com/blog/series-b",
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        "title": "Announcing $25m in Series A | Leya | The future of legal work",
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        "title": "Benchmark backs one-year-old AI legaltech Leya in $10.5m seed round | Sifted",
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    "id": 29205,
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    "one_liner": "AI applied research lab building synthetic sapience; human-like AI",
    "team_size": 9,
    "industry": "Consumer",
    "subindustry": "Consumer",
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    "stage": "Early",
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        "full_name": "Vishnu Hari",
        "title": "Founder",
        "founder_bio": "previously ai applied research @ fb & product @ horizon, meta reality labs | astrophysics @ utoronto | filmmaker/screenwriter (link to my film - https://youtu.be/7r93LEFjpCA) | huge gamer and space nerd\n| i also enjoy reading hardcore philosophy",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/astrophysicist",
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        "location": "San Francisco, CA, US / Remote (Tokyo, JP; SG)",
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        "title": "Member of Technical Staff: iOS Engineer",
        "url": "https://www.ycombinator.com/companies/ego/jobs/0Gwm3fO-member-of-technical-staff-ios-engineer",
        "location": "San Francisco, CA, US / Remote (Tokyo, JP; SG)",
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        "role": "Engineering",
        "role_type": "iOS",
        "salary_range": "$100K - $160K",
        "equity_range": "1.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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    "news": [
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        "title": "Tech in Asia - Connecting Asia's startup ecosystem",
        "url": "https://www.techinasia.com/news/y-combinator-backed-ego-ai-bags-6-7m-to-launch-human-like-characters",
        "date": "Oct 16, 2025"
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      {
        "id": 79373,
        "title": "ego - an ai-native 3d simulation engine: 👾 getting us closer to the matrix, one pixel at a time",
        "tagline": "An AI-native simulation engine and platform where users can create and share 3D animated characters, worlds, games and scripted interactions all using natural language. ",
        "body": "**tl;dr**\\\n_ego is an AI-native simulation engine and platform for AI characters where users can create and share 3D animated characters, worlds, games, and scripted interactions all using natural language. Imagine being able to prompt characters that exhibit human-like behaviour into Minecraft, The Sims, or Animal Crossing into existence._\n\n![uploaded image](/media/?type=post&id=79373&key=user_uploads/1552350/b97ac917-413b-465d-af9a-9d43c9091de3)\n\nhttps://www.youtube.com/watch?v=bLpG4LrLf60\n\n# Why Now?\n\nThe advent of large language models and diffusion models presents an incredible opportunity to solve three seemingly intractable problems in open-world games and simulations:\n\n1. It is hard for humans to write code and script interactions between assets, characters, and the environment to design fun games and experiences\n2. It was impossible for NPCs to display human-like behavior and have true agency in these 3D worlds\n3. It is hard to create new 3D assets, worlds, and non-playable characters\n\nWe founded ego to build an AI native simulation engine to solve all three problems - and we’ve started by tackling the first two. \n\n[ego](https://ego.live) is an AI-native simulation/game engine and platform where users can create and share 3D animated characters, worlds, and scripted interactions all using natural language. Imagine being able to prompt games like GTA, The Sims, Minecraft, or Animal Crossing into existence.\n\nIn the age of Gen AI, it is finally possible to build a **game engine that is also a game**.\n\n# Simulations on ego\n\nOver the course of YC, we built and launched two experimental games with our simulation engine: [TownWorld](https://docsend.com/view/ig6t2shuz26z7wha) (a 3D simulation of the Stanford Generative Agents [paper](https://hai.stanford.edu/news/computational-agents-exhibit-believable-humanlike-behavior) - [tweet thread](https://x.com/peggy_wang/status/1767656498212356597?s=20)) and [CharacterIdol](https://www.characteridol.ai/) (a game where user-prompted generative agents compete to entertain American Idol-style judges…also powered by LLMs). All of the character personalities, conversations, memories, and routines/movements in these games are fully generated by AI.\n\n[Townworld](https://youtu.be/6mPWFFTYebU):\n\n[CharacterIdol](https://youtu.be/j-R1am-kOTY):\n\nThis is where we found the massive opportunity to meaningfully make progress toward our vision of gaining usage of our simulation engine - _making it really easy for a user to make and share a game featuring agents in bounded or unbounded 3D space._ We are keenly aware of the sheer amount of time users spend talking to [character.ai](http://character.ai) [characters,](http://character.ai/) as well as the sheer amount of time young creators spend learning Lua code to script simple games and experiences in Roblox. What if we enable humans to interact with agents in immersive 3D worlds without the creators themselves needing to write complex Lua scripts or learn 3D modeling? What if summoning an agent was as simple as filling out a DnD character sheet?\n\n# Why is this a big deal?\n\n![uploaded image](/media/?type=post&id=79373&key=user_uploads/1552350/4fffe41d-d395-4029-bc04-15e83365f347)\n\nSince time immemorial, humans have built tools to bring their internal worlds to life. The sandbox, the dollhouse, a tree branch shaped like a rifle - all examples of tools we use to bolster our imaginative capacity to dream new worlds, characters, scenarios, and stories into existence. The closest we’ve come as a species to actualizing our imagination has been through the use of game engines to create simulated open-world experiences and games. AI is about to democratize the strongest tool we’ve had to realize our imaginations, and ego will be the simulation platform and engine that will power this new possibility.\n\n_Animal Crossing_, _The Sims_, _Garry’s Mod_, _Skyrim_, _Minecraft_, _Roblox,_ and _GTA_ - all hit games that empower players to explore, create, and roleplay in immersive 3D worlds. However, video games are hard to build and even harder to keep releasing fresh content for. Outside of the studio system, independent [modders](https://www.nexusmods.com/) have spent countless hours extending these games’ shelf life with new experiences and [characters](https://www.nexusmods.com/skyrimspecialedition/mods/98631), despite heavy technical challenges, and even outright hostility from the original game publishers. \n\n# Team\n\n![uploaded image](/media/?type=post&id=79373&key=user_uploads/1552350/b74846e9-8f20-4c19-9069-4f070a3838b2)\n\n[Vish](https://linkedin.com/in/astrophysicist) led the FB AI Applied Research team and the Meta Horizon Scripting team. He learned how to program by modding video games as a teenager and also wrote screenplays for films ([Acceptance](https://youtu.be/7r93LEFjpCA?si=fIEMyHdLF5E25aqq)).\n\n# Asks\n\n* Sign up for our waitlist at [ego.live](https://ego.live) and join our [discord](https://discord.gg/egoai)\n* Retweet ([this twitter link](https://x.com/peggy_wang/status/1768405809455825342?s=20)), reshare this ([LinkedIn](https://www.linkedin.com/posts/y-combinator_launch-yc-ego-an-ai-native-3d-simulation-activity-7174147284681564160-taZI))\n* Share the launch with friends and gamers who might be interested in trying this out :)\n* Try out [characteridol.ai](https://characteridol.ai) and tell us what you think\n* Follow [@ego_ai\\_](https://twitter.com/ego_ai_) on Twitter\n* Optionally follow [@peggy_wang](https://twitter.com/peggy_wang) and [@simulacronist](https://twitter.com/simulacronist) on twitter\n* Link us to talented 10x game devs (Unreal engine experience): [JD](https://peggy-wang.notion.site/Senior-Unreal-Engine-Game-Developer-at-Ego-VC-funded-indie-games-studio-making-animal-crossing-with-d02c85bedfa843ef9a2bca81cd58a7c2)",
        "url": "https://www.ycombinator.com/launches/KeD-ego-an-ai-native-3d-simulation-engine-getting-us-closer-to-the-matrix-one-pixel-at-a-time",
        "votes": 251,
        "created_at": "2024-03-13T21:12:12.336Z"
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Ubicloud is an open source cloud that can run anywhere.\r\n\r\nOur cloud services include elastic compute, block storage, virtual networking, managed Postgres, K8s, AI inference, and powerful IAM. Ubicloud provides these services on bare metal providers, such as Hetzner, Leaseweb, or AWS Bare Metal.\r\n\r\nYou can self-host our software or use our managed service to reduce your cloud costs by 3-10x.",
    "one_liner": "Open source alternative to AWS",
    "team_size": 15,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
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        "full_name": "Umur Cubukcu",
        "title": "Founder",
        "founder_bio": "Previously visiting partner at YC for W23 and S23; now co-founder at Ubicloud. Co-founder and CEO of Citus Data (S11), the creators of the distributed PostgreSQL database Citus. Led the PostgreSQL product team at Azure, after Citus Data was acquired in 2019 by Microsoft.",
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        "full_name": "Ozgun Erdogan",
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        "founder_bio": "I’m the cofounder of Ubicloud (YC W24), an open source alternative to AWS. We're on a mission to rebuild the cloud market with different values.\n\nPreviously, I was a partner at Microsoft, leading PostgreSQL engineering teams. I came to Microsoft through its acquisition of Citus Data (S11). I was the cofounder and CTO at Citus, and I learned a lot about doing startups there. Before all this, I built distributed systems at Amazon.",
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        "full_name": "Daniel Farina",
        "title": "Founder/CTO",
        "founder_bio": "I am one of the founders of Ubicloud.\n\nI've contributed to a number of control planes from an early phase, starting at Heroku, in what would become Heroku Postgres. Since then, I've serially created new control planes and infrastructure cloud products with some close colleagues, at Citus Cloud and Crunchy Bridge. Ubicloud is the fourth such system.\n",
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        "id": 89544,
        "title": "Software Engineer",
        "url": "https://www.ycombinator.com/companies/ubicloud/jobs/j4bntEJ-software-engineer",
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        "role": "Engineering",
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        "salary_range": "$95K - $250K",
        "equity_range": "0.15% - 0.50%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
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    "news": [
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        "title": "Ubicloud wants to build an open source alternative to AWS | TechCrunch",
        "url": "https://techcrunch.com/2024/03/05/ubicloud-wants-to-build-an-open-source-alternative-to-aws/",
        "date": "Mar 05, 2024"
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        "title": "Ubicloud - Open source alternative to AWS",
        "tagline": "Ubicloud is an open source cloud that can run anywhere.",
        "body": "**TL;DR**: Ubicloud provides IaaS cloud features on bare metal providers, such as Hetzner, Leaseweb, or AWS Bare Metal. You can self-host our software or use our managed service to reduce your cloud costs by 3-10x.\n\nHey everyone 👋 We’re Umur, Daniel, and Ozgun from [Ubicloud](https://www.ubicloud.com). We’re on a mission to rebuild the cloud market with different values. More on us below.\n\n## The Problem\n\n![uploaded image](/media/?type=post&id=79315&key=user_uploads/26241/10a339e1-dafe-421e-99f4-9484960966a7)\n\nAWS, Azure, and Google Cloud make life easier for start-ups and enterprises. But they are closed source, have you rent computers at a huge premium, and lock you in. It gets worse after your credits expire.\n\nAlthough the cloud came in with savings in its early years, the market evolved into a few players that overcharge for non-differentiated services, with increasingly complex products for standard, essential services. Each vendor optimizing for their walled gardens leaves customers stuck maintaining their apps and infra across incompatible clouds.\n\nThe cloud is here to stay. We believe a simpler, secure, and open source version of it will have a lasting impact.\n\n## The Solution\n\nUbicloud offers an open source alternative, reduces your costs, and returns control of your infrastructure back to you — all without sacrificing the cloud’s benefits. We’re starting with elastic compute, virtual networking, block storage (non-replicated), managed PostgreSQL, and powerful IAM.\n\nOur managed cloud runs on cost-effective bare metal providers, such as Hetzner. As a result, you can reduce your costs by 3-10x. Example use-cases:\n\n1. GitHub Actions: Change 1-line in your workflow file. Reduce costs by 10x\n2. Compute for batch processing: Run data pipelines for AI, scientific computing, and video processing - on-demand and encrypted. Reduce costs by 3x (vs AWS VMs)\n3. Managed PostgreSQL: Open source and portable. Uses local NVMes for higher performance, ideal for analytics. Reduce costs by 3x (vs AWS RDS)\n\n## The Team\n\n![uploaded image](/media/?type=post&id=79315&key=user_uploads/89898/3ce2495a-3697-4f8e-a61e-a6aa4a64bde7)\n\n_“Never tell me the odds.” — Han Solo_\n\nWe think the cloud galaxy deserves a solution that stands for open source values. We’re building to those values as part of the Rebel Alliance (yes, an alliance is needed to outmatch the empire :). From left to right:\n\n[Umur](https://www.linkedin.com/in/umurc/) - 5 years at startups. Then co-founded and led Citus Data (S11) to Microsoft acquisition. Led product teams within Azure. YC Visiting Partner for the previous two batches\n\n[Ozgun](https://www.linkedin.com/in/ozgune/) - 4 years at Amazon. Then co-founded and led Citus Data (S11) to Microsoft acquisition. Led engineering teams within Azure.\n\n[Daniel](https://www.linkedin.com/in/danfarina/) - Instrumental in building Heroku PostgreSQL. Amazed everyone with his skills in building managed cloud services at Citus Data, Azure, and Crunchy Bridge.\n\n## Our Ask\n\n1. Help us build the Rebel Alliance. [**Follow us (@UbicloudHQ)**](https://twitter.com/UbicloudHQ) on Twitter and tweet [**this post**](https://twitter.com/UbicloudHQ/status/1767594825023721858)!\n2. Start using Ubicloud for [GitHub Actions](https://www.ubicloud.com/use-cases/github-actions), [secure virtual machines](https://www.ubicloud.com/use-cases/ubicloud-compute), or [managed PostgreSQL](https://www.ubicloud.com/use-cases/postgresql). We reduce costs by 3-10x and we are open source!\n\n## The Deal\n\nTweeting and following us on Twitter gets 5,000 free compute minutes (standard-2). Using Ubicloud for one of the above use cases before demo day gets 10,000 compute minutes. Claim those minutes by sending us an email at [founders@ubicloud.com](mailto:founders@ubicloud.com)",
        "url": "https://www.ycombinator.com/launches/KdH-ubicloud-open-source-alternative-to-aws",
        "votes": 121,
        "created_at": "2024-03-12T16:11:25.761Z"
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    "id": 29238,
    "name": "Duckie",
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    "website": "https://duckie.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Duckie lets customer support teams build their own AI agents in minutes! \r\n\r\nWith Duckie, support teams can translate their tasks and processes into predictable and reliable AI workflows that saves them time and money. Folks use Duckie to handle a wide range of use cases, from answers customers technical questions to processing refunds, and everything in between.",
    "one_liner": "Build AI Support Agents in Minutes",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1697309167,
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    "stage": "Early",
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    "city": "San Francisco",
    "country": "US",
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        "full_name": "Valerie Li",
        "title": "Founder",
        "founder_bio": "Cofounder and CEO of Duckie. Prior to Duckie, she has been a senior engineer for 6+ years with expertise in infrastructure.\nShe was a tech lead at Netflix for 3 years, where she led the subscriber growth project that stopped password sharing, which added 8m new subscribers and $200m in revenue (and saved the company's stock price).\nBefore that she was an engineer at LinkedIn, and got her Computer Science degree from USC.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/peifeili",
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        "full_name": "Joel Ritossa",
        "title": "Founder",
        "founder_bio": "Co-founder and CTO at Duckie. Former AI Software Engineer at C3 AI, built Enterprise AI solutions. Princeton CS Class of 2020. Solving technical support with Valerie Li.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/joel-ritossa",
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        "id": 82671,
        "title": "Founding Business Development Representative",
        "url": "https://www.ycombinator.com/companies/duckie/jobs/uDANlkc-founding-business-development-representative",
        "location": "San Francisco, CA, US / Remote (US)",
        "type": "Full-time",
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        "role_type": null,
        "salary_range": "$80K - $120K",
        "equity_range": "0.25% - 1.50%",
        "experience": "3+ years",
        "visa": "Will sponsor",
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      },
      {
        "id": 103196,
        "title": "AI Agent Engineer",
        "url": "https://www.ycombinator.com/companies/duckie/jobs/McnwK78-ai-agent-engineer",
        "location": "San Francisco, CA, US / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$100K - $130K",
        "equity_range": "5.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
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      {
        "id": 78906,
        "title": "Duckie: Your AI technical support assistant 🐥",
        "tagline": "AI technical support assistant that helps teams resolve issues in minutes",
        "body": "Quack! We are [Valerie](https://linkedin.com/in/peifeili) and [Joel](https://linkedin.com/in/joel-ritossa), and we are happy to introduce [Duckie](https://duckie.ai/), an AI technical support assistant that helps teams resolve issues in minutes.\n\n![uploaded image](/media/?type=post&id=78906&key=user_uploads/89898/c8ebe519-8f16-44d1-90be-4d314325946d)\n\n[ ](https://www.youtube.com/watch?v=fycJPu47u1E&feature=youtu.be)\n\n## **Problem - Too many support requests, too little time.**\n\nResolving technical issues takes a lot of time, and they are often time-sensitive. Most issues can be solved with better knowledge-sharing. So much relevant information is in your team’s knowledge base, but it’s tough to find.\n\n* A lot of important information is tribal knowledge stuck in a teammate’s head.\n* Written knowledge is still siloed and scattered across Slack, Jira, docs, everywhere!\n* Once you find the docs, they’re always out of date (who likes writing documentation??).\n\n## **Solution**\n\nDuckie connects to your team’s knowledge sources (i.e. Slack, Jira, Confluence, Sentry, etc) to find relevant information and **generate issue resolutions** in minutes while writing back to your documentation to **keep the knowledge base up-to-date**.\n\nIs your customer getting an error message while OAuthing into your product? Duckie’s there to help. Your user is facing an issue using your API? Duckie can handle that. Your new engineer is having trouble setting up a local environment? Leave it to Duckie!\n\n### Instantly understand your issue and how to resolve it\n\nWhen a new issue comes up in your support channel, Duckie responds in the thread with where to look and how to resolve it, with reference sources.\n\n![uploaded image](/media/?type=post&id=78906&key=user_uploads/1422402/434842de-d831-4a1e-8f10-3f993b3e9991)\n\n### Conversational copilot to investigate with you\n\nHave follow-up questions? Instead of waiting for hours for human responses, Duckie responds instantly and gets you unblocked ASAP. \n\n![uploaded image](/media/?type=post&id=78906&key=user_uploads/1422402/fba57457-07b7-43d7-8cd7-9dc5affe311c)\n\n### Keep your documentation up-to-date automatically\n\nDuckie keeps your team’s documentation up-to-date with learning picked up during issue resolution. Duckie also handles post-mortems, status updates, and more.\n\n![uploaded image](/media/?type=post&id=78906&key=user_uploads/1422402/47063fac-d439-4af0-a372-b19e2122b084)\n\n## **Our Ask**\n\n1. [Book a demo](https://calendly.com/valerie-li-duckie/meet) with us to get Duckie live in your channel!\n2. Questions, thoughts, feedback, or want a Duckie swag? Email us at [founders@duckie.ai](mailto:founders@duckie.ai)!",
        "url": "https://www.ycombinator.com/launches/KWg-duckie-your-ai-technical-support-assistant",
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        "created_at": "2024-02-29T19:10:57.504Z"
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    "website": "https://www.tekton-dynamics.com",
    "all_locations": "London, England, United Kingdom",
    "long_description": "Our mission is to empower every manufacturer, no matter their scale, to invent and build anything using intelligent robots.\r\n\r\nToday’s industrial robots are fast but \"blind\". They struggle with any task that isn't perfectly repetitive. We are building the eyes and brain (a proprietary vision system and AI model) that allow industrial robots to see, reason, and perform complex work with sub-millimeter accuracy and the adaptability of a human expert.\r\n\r\nWe are witnessing the start of a new industrial revolution: an era of advanced manufacturing powered by AI and robotics. We aim to lead this shift by putting these tools into the hands of every manufacturer, ensuring the power to invent and build at scale isn’t a privilege of the few.",
    "one_liner": "AI control layer for welding robots",
    "team_size": 3,
    "industry": "Industrials",
    "subindustry": "Industrials -> Manufacturing and Robotics",
    "launched_at": 1706234384,
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    "isHiring": true,
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    "year_founded": 2023,
    "city": "London",
    "country": "GB",
    "linkedin_url": "https://www.linkedin.com/company/maihem/",
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    "website": "https://soniahealth.com",
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        "full_name": "Umar Nadeem",
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        ]
      },
      {
        "id": 71707,
        "title": "LLM/ML Engineer (Inference)",
        "url": "https://www.ycombinator.com/companies/reducto/jobs/roVp40O-llm-ml-engineer-inference",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$200K - $300K",
        "equity_range": "0.10% - 1.00%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "Reducto: AI document parsing & extraction software",
        "url": "https://reducto.ai/blog/reducto-series-b-funding",
        "date": "Oct 14, 2025"
      },
      {
        "title": "Reducto: Making Human Data LLM-Ready With State-of-the-Art Accuracy",
        "url": "https://www.youtube.com/watch?v=QBC_cViA7j8",
        "date": "May 01, 2025"
      },
      {
        "title": "Exclusive: Reducto, AI document parsing startup, raises $24.5 million Series A led by Benchmark | Fortune",
        "url": "https://fortune.com/2025/04/25/exclusive-reducto-ai-document-parsing-startup-raises-24-5-million-series-a-led-by-benchmark/",
        "date": "Apr 25, 2025"
      },
      {
        "title": "Reducto Document Ingestion API",
        "url": "https://reducto.ai/blog/reducto-series-a-funding",
        "date": "Apr 25, 2025"
      },
      {
        "title": "Reducto Document Ingestion API",
        "url": "https://reducto.ai/blog/seed-round",
        "date": "Oct 02, 2024"
      }
    ],
    "launches": [
      {
        "id": 82871,
        "title": "Reducto - Structured data from any unstructured document",
        "tagline": "Reducto’s new API makes it easy to turn complex documents and spreadsheets into structured data that fits your schema, with zero fine tuning. ",
        "body": "![uploaded image](/media/?type=post&id=82871&key=user_uploads/850889/1ce99361-5539-4e75-809d-d432d24470a2)\n\n[Reducto](https://reducto.ai) is a team from MIT building vision models to turn complex documents into LLM-ready inputs. Every part of our core API was made to offer the most accurate extraction possible, and we now power document ingestion for leading AI teams ranging from startups to Fortune 10 enterprises. \\\n\\\nWe’re excited to release a new **Structured Extraction API**, which leverages LLMs along with our vision models to extract the data that you need with exceptional accuracy and flexibility. \n\n# **📃 The Problem**\n\n**Nearly 80% of enterprise data is in unstructured formats like PDFs and spreadsheets**\\\nPDFs are the status quo for enterprise knowledge in nearly every industry. They’re stored in a structure that’s simply impractical for use in digital workflows, which leads to [dozens of wasted hours every week](https://www.reducto.ai/blog/the-real-cost-of-manual-document-processing).\\\n\\\n**Custom extraction models require hundreds of hours to build and maintain**\n\nCompanies often use traditional solutions to build a custom extraction pipeline for _every_ document layout they’re working with. That requires dozens of hours for labeling and training the model, and constant maintenance when models break from changing layouts.\\\n\\\n**LLMs offer better flexibility at the cost of reliability**\n\nOff the shelf LLMs _can_ offer exceptional reasoning but they struggle with hallucinations and extraction inaccuracies, making them unreliable for production use cases. \n\n# \n\n# **✅ Our Solution**\n\nWe’ve built vision models to read documents the way a human would, and a language model that we trained for schema-based extraction. Our new model can handle significantly larger documents, and is trained to _cite_ the source for each piece of information, allowing you to audit and verify outputs easily.\n\n![uploaded image](/media/?type=post&id=82871&key=user_uploads/850889/b090586c-1014-4293-a5f3-266950b46338)\n\nThis means you can:\n\n* Extract important fields with simple, natural language instructions\n* Verify any information using our source citations\n* Build powerful automations by integrating Reducto’s API with your custom workflow\n\n# **🚀 Automate your unstructured data processing**\n\nOur API is live in production with leading teams across insurance, healthcare, and finance, and we would love to work with you to improve your unstructured data ingestion.\\\n\\\nThis new API leverages all of the work that we’ve put into improving our document understanding models to make structured extraction work across all layouts with best in class accuracy. \\\n\\\nYou can [sign up](https://reducto.ai/pricing) to get started right away, or reach out to us at [founders@reducto.ai](mailto:founders@reducto.ai) for a demo!",
        "url": "https://www.ycombinator.com/launches/LYd-reducto-structured-data-from-any-unstructured-document",
        "votes": 28,
        "created_at": "2024-08-09T14:58:47.814Z"
      },
      {
        "id": 78035,
        "title": "🔮 Reducto - Unlocking data behind complex documents",
        "tagline": "Our API allows you to convert complex, unstructured documents into structured outputs that are perfect for RAG, process automation, and more.",
        "body": "Hey everyone - [Raunak](https://www.raunakdoes.dev/) and [Adit](https://www.linkedin.com/in/aditabraham/) here 👋🏼\\\n\\\nWe met four years ago while studying computer science at MIT, and we’ve spent the past few years building ML products at companies like Google and NVIDIA. We started building [Reducto](https://reducto.ai) after struggling with document ingestion while consulting for teams integrating LLMs into their applications.\n\n# \n\n# **📃 The Problem**\n\n**Nearly 80% of enterprise data is in unstructured formats like PDFs**\n\nPDFs are the status quo for enterprise knowledge in nearly every industry. Insurance claims, financial statements, invoices, and health records are all stored in a structure that’s simply impractical for use in digital workflows. This isn’t an inconvenience—it’s a critical bottleneck that leads to [dozens of wasted hours every week](https://www.reducto.ai/blog/the-real-cost-of-manual-document-processing).\n\n**Traditional approaches fail at reliably extracting information in complex PDFs**\n\nOCR and even more sophisticated ML approaches work for simple text documents but are unreliable for anything more complex. Text from different columns are jumbled together, figures are ignored, and tables are a nightmare to get right. Overcoming this usually requires a large engineering effort dedicated to building specialized pipelines for every document type you work with. \n\n# **🚀 Our Solution**\n\nReducto breaks document layouts into subsections and then contextually parses each depending on the type of content.\n\n![](https://framerusercontent.com/images/OGE17IqyrDhYFCvrxMFNNtwpLs.png?scale-down-to=2048)\n\nThis is made possible by a combination of vision models, LLMs, and a suite of heuristics we built over time. Put simply, we can help you:\n\n* Accurately extract text and tables even with nonstandard layouts\n* Automatically convert graphs to tabular data and summarize images in documents\n* Extract important fields from complex forms with simple, natural language instructions\n* Build powerful retrieval pipelines using Reducto’s document metadata\n* Intelligently chunk information using the document’s layout data\n\nYou can try a demo [here](https://app.reducto.ai/share/5ecd4726-f482-498d-a1c2-b76e12f595a8). \n\n# **🙏🏼 Our Ask**\n\nWe’re looking to onboard more teams across insurance, healthcare, and finance and would really appreciate your help. If you or someone you know is struggling with high-volume document workflows (5000+ pages), please reach out to us at [founders@reducto.ai](mailto:founders@reducto.ai).",
        "url": "https://www.ycombinator.com/launches/KId-reducto-unlocking-data-behind-complex-documents",
        "votes": 41,
        "created_at": "2024-01-31T20:01:45.526Z"
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    "id": 29256,
    "name": "Momentic",
    "slug": "momentic",
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      "Screenwriter"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d6de9c09ef38f242ca0f06fc3c76a1616228e790.png",
    "website": "https://momentic.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Momentic makes Mo, the AI QA engineer. Point Mo at your app with a goal and a swarm of agents bug-bashes it the way your team would, then reports every bug with repro steps, logs, and a video replay.\r\n\r\nNotion, Whatnot, Retool, Webflow, Framer, and 1,600+ teams use Momentic.\r\n\r\nTeams also use Momentic to write end-to-end tests in plain English, run them in CI, and let agents triage and maintain the suite across web and mobile.\r\n\r\nLearn more at momentic.ai",
    "one_liner": "Mo, the AI QA engineer that bug-bashes your app before every release",
    "team_size": 18,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1700355696,
    "tags": [
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      "B2B",
      "Enterprise Software",
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    "url": "https://www.ycombinator.com/companies/momentic",
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    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
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    "primary_partner": {
      "name": "Harj Taggar",
      "url": "https://www.ycombinator.com/people/harj-taggar"
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    "founders": [
      {
        "user_id": 1327081,
        "full_name": "Wei-Wei Wu",
        "title": "Founder",
        "founder_bio": "Wei-Wei Wu is a co-founder and CEO of Momentic. Previously, he worked at Assembled, building infrastructure and real-time features. Before that, he was the first employee and founding engineer at Nashi, a startup tackling RTO during Covid, which was acquired by Density in 2021.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/hungweiwu",
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      },
      {
        "user_id": 1637474,
        "full_name": "Jeff An",
        "title": "Founder/CTO",
        "founder_bio": "I'm a curious and driven technical founder hailing from Toronto, Canada. I love up-leveling others through my work and after graduating from the University of Waterloo, I found my calling in cloud and test infrastructure at companies like Splunk, Google, and Robinhood. Aside from engineering, I love traveling the world (over 100K miles flown in 2023!), playing piano, and hiking.\n",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/jeff-an",
        "x_url": "https://twitter.com/itsjeffan",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0af6d566f24fec17e8a20a3b62a08a8bc84043e0.jpg"
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    "jobs": [
      {
        "id": 85334,
        "title": "Founding Engineer (Frontend)",
        "url": "https://www.ycombinator.com/companies/momentic/jobs/938G5qp-founding-engineer-frontend",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $220K",
        "equity_range": "0.50% - 1.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "The Q/A Layer for the AI Coding Era",
        "url": "https://www.youtube.com/watch?v=UpWNdSVWA7M",
        "date": "Mar 23, 2026"
      },
      {
        "title": "Momentic raises $15M to become the AI-era ‘source of truth’ for software quality - SiliconANGLE",
        "url": "https://siliconangle.com/2025/11/24/momentic-raises-15m-become-ai-era-source-truth-software-quality/",
        "date": "Nov 24, 2025"
      },
      {
        "title": "Momentic raises $15M to automate software testing | TechCrunch",
        "url": "https://techcrunch.com/2025/11/24/momentic-raises-15m-to-automate-software-testing/",
        "date": "Nov 24, 2025"
      },
      {
        "title": "Momentic raises $3.7M to redefine software testing with AI - SiliconANGLE",
        "url": "https://siliconangle.com/2025/03/04/momentic-raises-3-7m-redefine-software-testing-ai/",
        "date": "Mar 04, 2025"
      }
    ],
    "launches": [
      {
        "id": 117199,
        "title": "Momentic: Mo, the AI QA engineer that finds bugs before your users do",
        "tagline": "Point Mo at your app. Get back the bug report, with repro steps, logs, and a video replay of each one.",
        "body": "**TL;DR:** Mo is an AI QA engineer. Give it any app (web, iOS, or Android) and a goal, and it launches hundreds of agents that bug-bash every nook and cranny of your app the way your team would before a release. You get one report: what was tested, what failed, repro steps, logs, and a video replay of each bug. We’re giving every sign up $250 in free credits at [momentic.ai](http://momentic.ai).\n\nLaunch video: <https://youtu.be/5RMQVtk-ayE>\n\n**Hey YC, we're Wei-Wei and Jeff.** We launched Momentic here in YC W24 as AI-powered end-to-end testing, and teams like Notion, Whatnot, and Retool run their test suites on it today. Today we're launching Mo.\n\n**The problem**\n\nClaude Code, Cursor, and Devin made writing code super easy. Testing is still the bottleneck. Over the past two years, our customers kept telling us: \"I don't want another script to write and maintain\" and \"Now I'm paying double, for QA and for a testing tool we have to use.\" No one asked for another testing framework to learn. All they wanted was no bugs.\n\n**How Mo works**\n\n1. Point Mo at your app and tell it what to test, in plain English: \"bug bash the checkout flow.\"\n2. Mo launches hundreds of agents in parallel on our hosted browsers and emulators/simulators. They click through the app just like a QA engineer would and cover every edge case, every nook and cranny.\n3. Every bug report has repro steps, logs, screenshots, and a video replay. File a ticket or hand it to your coding agent to fix.\n\n![uploaded image](/media/?type=post&id=117199&key=user_uploads/1327081/d363fb1e-977d-4c17-84dd-c3b9a8fcc89f)\n\nHere's one from this week. Mo hit Search on GitHub's Pull requests page without touching the prefilled query; GitHub wiped the query and threw an empty-query error. One prompt: \"bug bash\" plus the URL.\n\n**Results so far**\n\nNotion, Glide, Superpower and other teams put Mo on their own apps. Across the beta: Mo ran 1,100+ bug bashes and caught 3,500 verified bugs. One customer told us: \"I reviewed the findings and merged fixes for 10 of them. How did we not catch this already?\"\n\nIn our evals, Mo found 3.8x more bugs than Codex with Playwright MCP, 9x more bugs per hour, at half the cost per bug.\n\n![uploaded image](/media/?type=post&id=117199&key=user_uploads/1327081/a08dc6e5-a978-457b-9e88-d5ebce725be1)\n\n**Why we built it**\n\nWe started Momentic because we hated testing. At Nashi, I spent four hours every Thursday evening manually testing before a release. Two years of selling Momentic taught us that teams don't want better scripts; they want no bugs, so we built Mo to find them.\n\n**Our ask**\n\n* Try it on your app: [momentic.ai](http://momentic.ai), $250 in free credits on signup.\n* YC founders: we have a [sick YC deal](https://bookface.ycombinator.com/deals/2562) to redeem on Bookface.\n* Questions or a bug you want us to look at: DM me on X [@wuweiweiwu](https://x.com/wuweiweiwu).\n\nWei-Wei and Jeff",
        "url": "https://www.ycombinator.com/launches/UUJ-momentic-mo-the-ai-qa-engineer-that-finds-bugs-before-your-users-do",
        "votes": 211,
        "created_at": "2026-09-28T16:00:11.921Z"
      },
      {
        "id": 79067,
        "title": "Momentic - Automated testing with AI",
        "tagline": "Use AI to automate the most tedious parts of software development.",
        "body": "Hey everyone 👋 We’re Wei-Wei and Jeff and we're building [Momentic](https://momentic.ai). We're on a mission to make testing easy and fast for developers.\n\n# **TL;DR**\n\nDevelopers author E2E tests 10X faster with Momentic’s low-code editor. We make AI do the heavy lifting for you: finding elements, reasoning about assertions, visual comparisons, and even generating whole test cases!\n\n# **Testing still sucks!**\n\nThe average developer today still spends hundreds of hours every year writing and maintaining test suites in Selenium, Cypress, or Playwright. Existing no-code solutions like Browserstack and Tricentis are often unreliable and difficult to use, forcing teams to fallback on manual QA.\n\nThe bottom line is: **testing slows you down**, and all companies eventually encounter a tradeoff between velocity and quality.\n\n# **What if testing could help developers ship _faster_?**\n\nOur low-code test editor replaces traditional test scripts with AI-powered, self-healing steps. It seamlessly integrates into your existing workflows: from local development to CI/CD environments and production.\n\nHere’s how it works:\n\n_Interact with your app in plain English._\n\n![uploaded image](/media/?type=post&id=79067&key=user_uploads/1327081/d3261cce-cd3a-4f9c-bc55-0cea1533260f)\n\n_Craft assertions from any logical statement or visual condition._\n\n![uploaded image](/media/?type=post&id=79067&key=user_uploads/1327081/9a4fdfe4-f7d8-4183-a4a1-7b09ade815ac)\n\n_Record and replay actions on any site, even those on localhost._\n\n![uploaded image](/media/?type=post&id=79067&key=user_uploads/1327081/25e50c1d-dd84-4e7f-aafa-00e33618b42e)\n\n# **Meet the team**\n\nWe’re [Wei-Wei](https://www.linkedin.com/in/hungweiwu/) and [Jeff](https://www.linkedin.com/in/jeff-an/) - two software engineers who dreaded testing so much we founded a company to do it for us 😂.\n\nWe-Wei was a founding engineer at Nashi and then a staff engineer at Density, leading product engineering and product reliability. Jeff led testing at Robinhood and enterprise quality at Retool, and saw first-hand how lack of testing can impact a company’s bottom line.\n\n![uploaded image](/media/?type=post&id=79067&key=user_uploads/1327081/d66b58e4-4dfa-45f9-89c9-d2cfa4b9bc95)\n\n# **Our ask**\n\nMomentic is currently in private beta, working closely with early customers. We plan to give access to a select few companies in the next few weeks, so please reach out to [founders@momentic.ai](mailto:founders@momentic.ai) or [book a call](https://momentic.ai/demo).\n\nWe would love to work with you if:\n\n1. You want to use Momentic to accelerate development teams without sacrificing quality.\n2. You currently spend more time and resources than you’d like on testing.\n\nWe offer plans for teams of all sizes and offer features such as white-glove onboarding, accessibility audits, visual diffing, environments, source control, custom SSO, and migrations from existing frameworks.\n\nFor more details, visit [momentic.ai](http://momentic.ai).\n\nThank you!\n\nWei-Wei and Jeff",
        "url": "https://www.ycombinator.com/launches/KZH-momentic-automated-testing-with-ai",
        "votes": 341,
        "created_at": "2024-03-05T15:30:46.181Z"
      }
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  },
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    "id": 29257,
    "name": "Tuesday Labs",
    "slug": "tuesday-labs",
    "former_names": [
      "Adagy Robotics",
      "Tuesday Lab"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/bb7c6f660a8e21354833989c609687d7125a07b0.png",
    "website": "https://www.tuesdaylabs.com",
    "all_locations": "New York City, NY, USA",
    "long_description": "Tuesday makes delightful robots that tidy your home for you",
    "one_liner": "Delightful robots",
    "team_size": 7,
    "industry": "Consumer",
    "subindustry": "Consumer -> Consumer Electronics",
    "launched_at": 1706678921,
    "tags": [
      "Robotics",
      "Consumer",
      "Gaming",
      "Electronics",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
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      "Consumer Electronics"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/tuesday-labs",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/tuesday-labs.json",
    "year_founded": 2023,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/tuesdaylabs/",
    "x_url": "https://x.com/roboticscorp",
    "fb_url": null,
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/bb7c6f660a8e21354833989c609687d7125a07b0.png",
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    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
    },
    "founders": [
      {
        "user_id": 1151107,
        "full_name": "Rosalind Shinkle",
        "title": "Founder/CEO",
        "founder_bio": "Ros is the founder and CEO of Tuesday Labs. Before starting Tuesday, Ros was a Staff Robotics Engineer at Boston Dynamics, where she worked on the Spot Manipulation team. At Boston Dynamics, Ros engineered the algorithms that tell the Spot arm how to interact with the world, e.g. how to inspect manufacturing lines and place sensitive objects. Ros has a BSE in Mechanical Engineering and Applied Mechanics and a Master’s in Robotics from UPenn.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/rosalind-shinkle",
        "x_url": "https://twitter.com/ros_shinkle",
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    ],
    "jobs": [
      {
        "id": 77209,
        "title": "Open Call for Candidates",
        "url": "https://www.ycombinator.com/companies/tuesday-labs/jobs/PWQE14e-open-call-for-candidates",
        "location": "New York City",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
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        "experience": "",
        "visa": "US citizen/visa only",
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    "id": 29259,
    "name": "Newton",
    "slug": "newton",
    "former_names": [
      "Hemingway"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0c86d4825b7d8c9d007a9e647ba90224508747fa.png",
    "website": "https://joinnewton.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Newton is the AI phone system built for retail healthcare practices—starting with dentists. We replace outdated phone systems and clunky communication tools with a modern agentic platform that handles scheduling, billing, and patient communication.",
    "one_liner": "AI-powered phone platform for dentists",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1704170538,
    "tags": [],
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
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    ],
    "regions": [
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      "America / Canada"
    ],
    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/newton",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/newton.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
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    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
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    "founders": [
      {
        "user_id": 1501399,
        "full_name": "Rohit Chaparala",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder at Newton (W24)",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/rohit-chaparala-53201710a",
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      },
      {
        "user_id": 1653711,
        "full_name": "Sam Detjen",
        "title": "Founder/CTO",
        "founder_bio": "Ex microsoft engineer and first time founder",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/sam-detjen-93243b129?utm_source=share&utm_campaign=share_via&utm_content=profile&utm_medium=ios_app",
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    "jobs": [
      {
        "id": 70315,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/newton/jobs/V9kaQiR-founding-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$110K - $180K",
        "equity_range": "0.50% - 1.50%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 77826,
        "title": "Founding Business Development Representative ",
        "url": "https://www.ycombinator.com/companies/newton/jobs/EsRR2Qr-founding-business-development-representative",
        "location": "Lehi, UT, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$40 - $55",
        "equity_range": "",
        "experience": "Any (new grads ok)",
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    ],
    "news": [
      {
        "title": "Newton Raises $3.8 Million to Bring AI-Native Workflow Automation to Dental Practices – Unite.AI",
        "url": "https://www.unite.ai/newton-raises-3-8-million-to-bring-ai-native-workflow-automation-to-dental-practices/",
        "date": "Oct 22, 2025"
      }
    ],
    "launches": [
      {
        "id": 87264,
        "title": "Newton: AI-powered Phone Platform for Dentists and DSOs",
        "tagline": "Newton helps dentists and DSOs elevate their practice with AI",
        "body": "# **TL/DR –**\n\nNewton is an AI phone (VoIP) system for dentists and DSOs (large dental groups). Customers use Newton to grow their practice and eliminate attrition, keep their chairs full and days productive, and free their front desk to focus on what matters most: meaningful patient interactions. \n\n# **Problem**\n\nAsk any dental practice owner and they will tell you how difficult it is to manage and run a dental clinic. Insurance reimbursement rates have stayed flat for the past 30+ years while cost of labor and overhead continues to rise. Patients expect more choice and flexibility around booking (a trend that has increased post-COVID) which has led to greater rates of cancellations and attrition. \n\nAnd existing technology has failed practice owners, forcing them to employ a patchwork of manual point solutions that are bridged together by an overworked front desk that is juggling — among other tasks — phone calls, patient arrivals, and communication with third-parties like insurance.\n\n# **Solution**\n\nNewton is an AI phone platform that offloads manual and repetitive tasks from the front deask while boosting overall patient engagement and retention for the practice. At its heart is **Sophia,** a customizable AI agent who can handle calls and texts and book directly into the practice management software (PMS).\n\nhttps://www.youtube.com/watch?v=HvnKAkDCFJU\n\n**How Newton Helps:**\n\n1. **Automated appointment management:** Sophia monitors arrivals over phone and text. She seamlessly reschedules patients that can’t make their appointment and manages a waitlist in real-time to keep chairs full. \n2. **Targeted Patient Engagement:** Customers use Newton to build custom patient lists based on appointments, treatments, and insurance—and launch AI-powered campaigns on them to boost reactivation\n3. **24/7 Phone and Text Support:** Sophia's around-the-clock availability means no more missed or dropped calls. She handles calls on her own or escalates to staff with context when needed.\n4. **Online AI Chat & Forms:** Customers can embed Newton's AI on their website to streamline patient acquisition—automatically collecting insurance and intake details from start to finish.\n\n**Our Ask**\n\nAre you a dentist, office manager, or executive at a single location practice, multi-location group, or DSO? Do you know someone who is? [Book a demo](https://joinnewton.com/book-a-demo) with us today to see how Newton can help. ",
        "url": "https://www.ycombinator.com/launches/MhU-newton-ai-powered-phone-platform-for-dentists-and-dsos",
        "votes": 42,
        "created_at": "2025-01-29T06:13:09.996Z"
      },
      {
        "id": 79603,
        "title": "Hemingway: AI patient scheduler for dental practices",
        "tagline": "Hemingway books patients for dental practices using AI",
        "body": "Hey 👋 We’re [Rohit](https://linkedin.com/in/rohit-chaparala-53201710a) and [Sam,](https://www.linkedin.com/in/sam-detjen-93243b129?utm_source=share&utm_campaign=share_via&utm_content=profile&utm_medium=ios_app) co-founders at [Hemingway.](https://hemingwayai.co/)\n\n**Problem**\n\nPost-pandemic, dental practices have struggled to maintain profitability and growth due to staff shortages and rising overhead costs. In the face of these issues, they also continue to miss out on thousands of dollars in high-margin revenue due missed appointments and poor scheduling practices, as many rely on manual and inefficient workflows for patient scheduling.\n\nWhat makes it even trickier is that patient behavior is unpredictable, with patients regularly canceling their appointments and going inactive, creating additional strain on the front desk. \n\n**Solution**\n\nHemingway is an AI patient scheduler for dental practices. Through one-click, practices integrate our software with their existing EHR. Our AI agent books unscheduled patients, handles inbound requests for appointments, and automatically reschedules cancellations as they occur. We enable booking through phone, text, and web-based chat. \n\nOur software books a patient a day on average for customers, leading to thousands in net new revenue per week. We see scheduling as a powerful wedge into managing a broader set of administrative tasks for practices with patients around insurance, payments, and clinical follow up.\n\n[Voice Demo](https://www.youtube.com/watch?v=kt5Wl6WAqLk&ab_channel=SamDetjen)\n\n![uploaded image](/media/?type=post&id=79603&key=user_uploads/1501399/d2dfd076-fb62-4eae-8e9f-ca05f551c0ea)\n\n**Team**\n\nWe met as summer interns in NYC during college and have been friends since. Rohit studied CS at Brown and was a solutions engineer at Lithic, a series C fintech where he was working on deals across enterprise and early-stage startups. Sam studied CS at Northwestern and was at Microsoft for four years where he led a team within Azure. \n\n**Ask**\n\nWe would welcome a warm introduction to your dentist! You can reach us at [rohit@hemingwayai.co](mailto:rohit@hemingwayai.co)",
        "url": "https://www.ycombinator.com/launches/Khv-hemingway-ai-patient-scheduler-for-dental-practices",
        "votes": 18,
        "created_at": "2024-03-22T00:13:17.607Z"
      },
      {
        "id": 77983,
        "title": "Hemingway: AI Patient Scheduler for Dental Practices",
        "tagline": "Hemingway is an AI-powered scheduling platform that empowers dental practices to automate scheduling",
        "body": "Hey 👋 We’re [Rohit](https://linkedin.com/in/rohit-chaparala-53201710a) and [Sam](https://www.linkedin.com/in/sam-detjen-93243b129?utm_source=share&utm_campaign=share_via&utm_content=profile&utm_medium=ios_app), co-founders at [Hemingway](https://hemingwayai.co/).\n\n---\n\n---\n\n—\n\n**Problem**\n\nManaging scheduling is a daily struggle for dental practices. Patients regularly cancel, no-show, or go inactive, making managing appointments and patients unpredictable and difficult to track. Practices today use a combination of manual workflows and a patchwork of software solutions to manage bookings. This messy, hit-and-miss approach leads to dozens of missed appointments every month and thousands in lost monthly revenue per practice.\n\n**Solution** \n\nHemingway is an AI patient scheduler for dental practices. Through one-click, practices integrate our software with their existing EHR. Our AI agent books unscheduled patients, handles inbound requests for appointments, and automatically reschedules cancellations as they occur. We enable booking through phone, text, and web-based chat.\n\nOur software books a patient a day on average for customers, leading to thousands in net new revenue per week. We see scheduling as a powerful wedge into managing a broader set of administrative tasks for practices with patients around insurance, payments, and clinical follow up.\n\nHemingway delivers several immediate benefits:\n\n* **More bookings:** practices can use AI to book new, overdue, or unscheduled patients \n* **Time saved:** hours saved on routine manual work like reactivation campaigns or daily requests to reschedule \n* **Improved patient experience:** patients can book faster and more intuitively, increasing practice retention and patient loyalty\n\n[Voice Demo](https://www.youtube.com/watch?v=kt5Wl6WAqLk)\n\n![](https://framerusercontent.com/images/HHqI8w1Uz5bzVDI61fPmuS7RBU.png)\n\n**Team**\n\nWe are a team of two, passionate about building best-in-class operating infrastructure for a large vertical looking for modern alternatives. Rohit is an ex-fintech solutions engineer, consultant, and Brown undergraduate. Sam is an ex-Microsoft software engineer and Northwestern undergraduate.\n\n![uploaded image](/media/?type=post&id=77983&key=user_uploads/1501399/83459cbe-4b91-4f1b-aff9-9ce4136b5df9)\n\n**Ask**\n\nIf you are in the dental industry or know someone in the space, please let us know! You can reach out to [rohit@hemingwayai.co](mailto:rohit@hemingwayai.co) or book time [here.](https://calendly.com/rohit-hemingway)",
        "url": "https://www.ycombinator.com/launches/KHn-hemingway-ai-patient-scheduler-for-dental-practices",
        "votes": 18,
        "created_at": "2024-01-30T18:29:38.122Z"
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    "id": 29263,
    "name": "Alex",
    "slug": "alex-com",
    "former_names": [
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/98b76c25c75fac04ce234cc570b0dd988698507a.png",
    "website": "https://alex.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Alex interviews, screens, and schedules every candidate – over voice, video, and text – so talent teams hire more great people, faster, without adding TA headcount. The recruiter stays in control: every shortlist is approved by a human, and every relationship and offer is owned by the customer's team.\r\n\r\nWe're past 1M+ interviews, integrate with 33+ ATS platforms, and 96% of candidates prefer interviewing with Alex. We're revenue-generating, well-funded, backed by premier investors, and are focused on enterprise customers: selling to VPs of Talent Acquisition, CHROs, and CFOs at large employers who are rethinking how hiring gets done at scale.",
    "one_liner": "Alex is the AI recruiter for hiring great people.",
    "team_size": 30,
    "industry": "B2B",
    "subindustry": "B2B -> Recruiting and Talent",
    "launched_at": 1703103445,
    "tags": [
      "SaaS",
      "B2B",
      "Recruiting",
      "HR Tech",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
      "B2B",
      "Recruiting and Talent"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/alex-com",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/alex-com.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/hire-alex/",
    "x_url": "",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/alexai",
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    ],
    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
    },
    "founders": [
      {
        "user_id": 1130140,
        "full_name": "Aaron Wang",
        "title": "Founder/CEO",
        "founder_bio": "Before Alex AI, Aaron worked in quant finance and at Facebook AI. He studied computer science, applied math, and economics at Brown.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/aaronjwang",
        "x_url": null,
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/71e6853c488fbfca1724e6c8e382612f34fc4b47.jpg"
      },
      {
        "user_id": 1649378,
        "full_name": "John Rytel",
        "title": "Founder/CTO",
        "founder_bio": "Technical co-founder who just builds.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/john-rytel-955436221",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8ef282e7c673bc0b3bddb9a6ac5617ef163ddbb1.jpg"
      }
    ],
    "jobs": [
      {
        "id": 106606,
        "title": "Account Manager",
        "url": "https://www.ycombinator.com/companies/alex-com/jobs/94T4yHu-account-manager",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$150K - $200K",
        "equity_range": "0.10% - 0.15%",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 106644,
        "title": "Forward-Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/alex-com/jobs/tLgp1Yw-forward-deployed-engineer",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$100K - $180K",
        "equity_range": "0.05% - 0.15%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "Alex: Your AI Recruiting Partner",
        "url": "https://www.youtube.com/watch?v=3FJV-Gmrpa8",
        "date": "Sep 29, 2025"
      },
      {
        "title": "AI recruiter Alex raises $17M to automate initial job interviews | TechCrunch",
        "url": "https://techcrunch.com/2025/09/29/ai-recruiter-alex-raises-17m-to-automate-initial-job-interviews/",
        "date": "Sep 29, 2025"
      },
      {
        "title": "The Pitch Deck This AI Recruiter Startup Used to Raise Seed Funding ",
        "url": "https://www.businessinsider.com/pitch-deck-ai-recruiter-startup-apriora-seed-funding-2024-5",
        "date": "May 15, 2024"
      },
      {
        "title": "Your Next Job Interview May Be With ‘Alex,’ The AI Interviewer",
        "url": "https://www.forbes.com/sites/jackkelly/2024/05/10/your-next-job-interview-may-be-with-alex-the-ai-interviewer/?sh=3a44b4d976f2",
        "date": "May 10, 2024"
      }
    ],
    "launches": [
      {
        "id": 78994,
        "title": "Alex (fka Apriora) - Your AI interviewer to identify the best candidates faster",
        "tagline": "Reduce recruiting overhead, interview more candidates, and make better hiring decisions.",
        "body": "### TLDR\n\n[**Alex**](https://www.alex.com/) **interviews job candidates in real time.** Companies using Alex reduce recruiting overhead, interview more candidates, and make better hiring decisions. For candidates, we provide an equitable, interactive interviewing experience.\n\n### 📸 Intro\n\nHey all! We’re [Aaron Wang](https://linkedin.com/in/aaronjwang) and [John Rytel](https://linkedin.com/in/johnrytel) from Alex (fka Apriora).\n\n![uploaded image](/media/?type=post&id=78994&key=user_uploads/1130140/794bc140-1ba0-4b71-bdaa-8b29d09722bf)\n\n### **❌** The problem\n\n**Interview processes are slow and expensive.** Companies spend over $5,000 per hire, most of which is time spent by internal recruiting teams and hiring managers interviewing candidates, and the average length for an interview process is \\~30 days.\n\nExisting video interviewing platforms were built to solve this for companies, but their one-way interfaces and cookie-cutter questions create a disappointing candidate experience, resulting in low completion rates and a limited hiring signal.\n\nHow can we offer companies the efficiency of interview automation while providing candidates with a personalized, conversational interview experience?\n\n### 🚀 The solution\n\n**Our AI interviewer conducts real-time video interviews with candidates**, including technical screens, phone screens, system design, coding, behavioral, and more.\n\nUnlike interviewing your candidates manually or with an automated assessment, Alex is:\n\n* **Convenient**: Your AI interviewer is ready to interview candidates 24/7 with unlimited capacity.\n* **Candidate First**: Over 90% of scheduled candidates complete their interviews with an average candidate experience rating of 4.5/5.\n* **Reliable**: Data-driven feedback after each interview is customized to your hiring goals so you can feel confident that you’re moving forward with the right candidates.\n* **Robust**: Alex’s fairness system flags cheating based on multi-modal data, so you can trust your interviewer’s feedback.\n* **Accessible**: One-click integration with your ATS so you don’t need to change your workflow.\n\n![uploaded image](/media/?type=post&id=78994&key=user_uploads/1130140/ef44f880-fb72-4e1d-a641-eb413571aaa5)\n\n_Check out a full interview at apriora.ai/demo_\n\n### 🙏 Ask: How you can help\n\n1. **Who do you know in recruiting or talent acquisition?** We want to learn more about their work and help them! Reach out to [founders@apriora.ai](mailto:founders@apriora.ai).\n2. **Who do you know that’s hiring and could benefit from AI interviewing?** Reach out to [founders@apriora.ai](mailto:founders@apriora.ai).\n\nThe blurb: “My friends are working on a YC company building AI interviewers that conduct real-time video interviews. I think this could be relevant to you, so feel free to check them out and contact [founders@apriora.ai](mailto:founders@apriora.ai) for more.”\n\n### **🤝** The Deal\n\n**Sign up before Demo Day** to get started with our YC Deal. Reach out to [founders@apriora.ai](mailto:founders@apriora.ai) to set up your custom interviewer.\n\n❤️ _Thank you for taking the time to read through this. We’d love to hear your thoughts about what we’re building. Find some time [here](https://calendly.com/apriora/aaron) or shoot us an email._",
        "url": "https://www.ycombinator.com/launches/KY6-alex-fka-apriora-your-ai-interviewer-to-identify-the-best-candidates-faster",
        "votes": 545,
        "created_at": "2024-03-04T02:36:40.405Z"
      }
    ]
  },
  {
    "id": 29269,
    "name": "Garage",
    "slug": "garage-2",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b097e3ed808fe533aff49062b2a59a6f1f2805fd.png",
    "website": "https://www.shopgarage.com/",
    "all_locations": "New York City, NY, USA",
    "long_description": "Garage is modernizing how America buys and sells the vehicles and equipment that keep communities safe. Our AI-powered marketplace automates every part of the transaction—appraisals, payments, paperwork, freight, warranty, and financing—reducing what once took months down to minutes.\r\n\r\nBy replacing broken, manual processes with modern software, Garage helps critical equipment reach communities faster—saving taxpayer dollars and supporting the industries that keep America running.\r\n\r\nWe've raised $18M to date, and are backed by Y Combinator, Initialized Capital, Infinity Ventures, FJ Labs, and other leading investors.\r\n",
    "one_liner": "Marketplace for America's most essential assets",
    "team_size": 35,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1709146834,
    "tags": [
      "Marketplace",
      "AI",
      "Industrial"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Growth",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/garage-2",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/garage-2.json",
    "year_founded": 2023,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/withgarage/",
    "x_url": "https://twitter.com/withgarage",
    "fb_url": "https://www.facebook.com/profile.php?id=61553998774237",
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b097e3ed808fe533aff49062b2a59a6f1f2805fd.png",
    "app_video_url": null,
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    "company_photos": [],
    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
    },
    "founders": [
      {
        "user_id": 747422,
        "full_name": "Martin Hunt",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder at Garage (W24)",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/martin-hunt-a3392999",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/34caa28c4d809b6c890cdbfb41e0a118af9d6165.jpg"
      },
      {
        "user_id": 724826,
        "full_name": "Alaz Sengul",
        "title": "Founder/CTO",
        "founder_bio": "Building Garage.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/alazsengul",
        "x_url": "https://twitter.com/alazsengul",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4e3d472bc02d64704678dba86ca6f14ab7b62255.jpg"
      }
    ],
    "jobs": [
      {
        "id": 88476,
        "title": "Software Engineer",
        "url": "https://www.ycombinator.com/companies/garage-2/jobs/8YNROco-software-engineer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $250K",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "Will sponsor",
        "skills": [
          "Express",
          "PostgreSQL",
          "Python",
          "React",
          "TypeScript",
          "Next.js"
        ]
      },
      {
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        "body": "We’re [Martin Hunt](https://www.linkedin.com/in/martin-hunt-a3392999/) and [Alaz Sengul](https://www.linkedin.com/in/alazsengul/), founders of [Garage](https://www.withgarage.com/).\n\n**How it started**\n\nIn 2015, I joined my local fire department as a volunteer _(young, but not as young as I was in this picture)_. In the years that followed, I completed 1500+ hours of training, got certified as an EMT, and started working as a paid firefighter at neighboring departments.\n\n![](https://lh7-us.googleusercontent.com/Kdv8ZUe-MfNOZvEskv1GQU0aXpYs1XqlrUwY4XCc4PV2ZZMzc0lbdQJm8a7ak0FuA8rBCRPyl2t2L0Jf2AbW3dlLLERHv8SJEiQgnxc4RdLqJwItDewo67zmGmcA1hTZOjnl1GDgAlfZS0_jXgLWFLs)\n\nWhen my department bought new equipment or a new truck, we would turn to Facebook groups and word of mouth to sell our used equipment to other departments in need. For perspective, a new fire truck costs $1.5 to $2.5 million, with used trucks ranging in cost from $50,000 to $1 million.\n\nIt was a super frustrating process for us:\n\n* Countless hours spent trying to find buyers in-need\n* Navigating and losing money to scammers \n* Coordinating independent logistics and financing providers\n\n![](https://lh7-us.googleusercontent.com/Nlia4iAX3VLFWzUeLBsQgbZu6fiSPTbxgaMbOSV0D2QyN0WD0HzLfP0KiAikBAqB0ne8IDW9gcko8r0V4bJ888yzOv_nTGlxYG-VTWtKW3WeJ7PEG2Ddg3rOgPGS6VVzU6ck2assojpGN4F8Wv0pFWQ)\n\n**Garage’s Solution**\n\nGarage helps fire departments buy and sell used equipment in seconds rather than days. Our marketplace handles payments, freight, and financing – making buying and selling equipment easy.\n\nWe're starting with fire departments because of my personal background, but the same problem of selling used equipment exists in many other verticals including construction, agriculture, and government surplus equipment. \n\n**Meet the team**\n\nWe met while both studying at Columbia and have been friends for 6+ years. Before starting Garage, Alaz worked at Twitter and MemAI as a software engineer, and I worked as a private equity investor at Goldman Sachs.\n\n**Email us at **[**founders@withgarage.com**](mailto:founders@withgarage.com)**.**",
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        "title": "Pivot Robotics - Automating high-mix manufacturing with AI",
        "tagline": "Pivot Robotics builds software to tackle the next frontier of manufacturing automation.",
        "body": "**TL;DR** We’re building this -\n\n![uploaded image](/media/?type=post&id=79034&key=user_uploads/509746/b2c4bca3-62a5-4591-9743-29683d930076)\n\nAnd we are Ex-Google and Meta robotics engineers that are using foundation vision models to solve the riddle of high-mix to redefine American manufacturing.\n\n—\n\n### **🚨 The Problem:**\n\nU.S. manufacturing is making a comeback for the first time since the 1970s, but there is a problem: **Nobody is filling these jobs**. Decades of decline and entire generations shying away from manufacturing jobs have left the industry facing an expected 2.4 million jobs going unfulfilled by 2030. \n\nThe obvious solution is to use robots, but **75% of all U.S. manufacturers are effectively unable to use traditional robotic automation** due to their high-mix production: they produce a wide array of products in small quantities. Traditional automation is rigid and needs new fixturing and re-programming for each part, and doesn’t provide ROI for high-mix manufacturers since so little of each part is produced. \n\nIf America is unable to capitalize on the current manufacturing and AI boom, we lose out on **$1 trillion per year in opportunity cost** and the chance to strengthen our weakened industrial base. High-mix manufacturers are a crucial component for this and they urgently need adaptable automation solutions that can cheaply handle their large variety of parts. \n\n### **🦾 Our Solution:**\n\nPivot Robotics combines off-the-shelf robots and vision sensors with our pioneering AI vision control software to give industrial robots the ability to adapt. Our first product, Proteus, addresses the dangerous and unpopular task of grinding metal parts, offering zero-shot adaptation to new parts with the same precision, and efficiency. **We do this by leveraging the latest advances in foundational vision models**, allowing us to avoid the large data requirements that prior attempts of adding vision to industrial robots faced. We are currently engaged in a **pilot to deploy 10+ Proteus systems** at a large cast iron foundry that produces over 200 different parts a year.\n\n### **🤝 Who We Are:**\n\n![uploaded image](/media/?type=post&id=79034&key=user_uploads/509746/dca22c09-4fc2-4c3c-aa64-5482d6880583)\n\nWe both met on the first day of college at Carnegie Mellon University, living 2 doors across from each other. \n\n[Siddharth](https://bookface.ycombinator.com/user/1333819/linkedin_redirect?key=74798b374abfa1117de67acaa6e2c7591293097d) has worked on self-driving cars at Uber ATG, AI at Meta, and most recently was designing multi-agent algorithms for warehouse robots at Nimble Robotics.\n\n[Vignesh](https://bookface.ycombinator.com/user/509746/linkedin_redirect?key=102ec6e610057e9a5088e60101031188a7145ab9) optimized motion planning for general-purpose robots at Google X, researched LLM applications for robotics in the Atkeson Lab, and worked on manipulation at ABB.\n\nBoth of us are inspired to use our robotics experience to solve real-world labor problems after watching our respective parents’ careers in these industries (agriculture and manufacturing).\n\n### 🔮**The Future:**\n\nExpanding our vision technology to develop hand-eye coordination for robot arms, enabling the automation of tasks beyond grinding, like materials handling and assembly for high-mix manufacturers.\n\n### **🙏Our Ask:**\n\nWe’re looking for introductions to manufacturing partners eager to embrace AI-driven automation and investors who share our vision for the future of manufacturing.\n\n### **✉️ Contact Us:**\n\nReach out at [founders@pivotrobotics.com](mailto:founders@pivotrobots.com) and follow us on [Twitter](https://twitter.com/pivotrobots)/[Linkedin](https://www.linkedin.com/company/pivot-robots/) for updates and cool demos.",
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        "title": "🦜 Arini: The AI receptionist for dentists",
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        "body": "Hey everyone! We’re [Abdul Jamjoom](https://www.linkedin.com/in/abduljamjoom/) and [Rami Rustom](https://www.linkedin.com/in/ramirustom/) from [Arini](https://www.arini.ai).\n\n**tl;dr**\n\nArini is an AI receptionist for dental clinics that answers phone calls, and schedules appointments. The dental front desk is stretched thin, spending 80% of their time on the phone, yet still missing 35% of calls. Missed calls = missed revenue. Arini answers 100% of calls, 24/7.\n\n## **Problem**\n\nHealthcare in the US is facing a massive staffing shortage, especially since COVID. It’s hard for clinics to find, train, and retain admin staff. As a result, the front desk is overworked and understaffed.\n\nThe dental front desk spends 6 hours a day on the phone but still misses 35% of calls. Each missed call is missed revenue.\n\nEven though 80% of dental clinics have online scheduling forms, most appointments are still booked over the phone. Even if you book online, they’re going to call you back (go ahead and try it).\n\n## **Solution**\n\nWe built an AI voice agent that answers phone calls and books appointments. We plug into the existing software that dental clinics use and populate appointments on their calendar. We can also answer questions about insurance, billing, and anything else the patient needs.\n\nWe help practices increase revenue by booking more appointments. We also help them reduce their operating cost since they need to recruit, train, and retain fewer receptionists.\n\n<https://www.youtube.com/watch?v=xzscKs5cxwc>\n\n## **The team and how we landed on dental**\n\nWe met in high school in Jordan, co-founded a start-up 2 years ago, and are always hacking together. Abdul studied CS at Harvard and was an early engineer at Threads, an enterprise communication tool, where he led search. Rami studied CS at MIT and joined Threads a year ago, and we both led Threads’ AI team, where we automated customer support, document feedback, notification triaging, and more.\n\nWe landed on the dental space after going door-to-door to dentists, shadowing them, and experiencing first-hand the challenges they faced. It was clear that the front desk was a bottleneck for increasing bookings, even though dentists in the US spend $7B a year on front desk staffing.\n\n![uploaded image](/media/?type=post&id=78760&key=user_uploads/868778/669b3926-305a-4cc9-92d2-adee47bf0991)\n\n## **How you can help**\n\n1. If you have a cleaning coming up, ask your dentist to [**book a demo with us**](https://calendly.com/d/47d-9z6-g2d/ai-receptionist-demo)\n2. If you know any multi-location dental groups or DSOs, send them our way\n\nYou can reach us at [**founders@arini.ai**](mailto:founders@arini.ai)**.**",
        "url": "https://www.ycombinator.com/launches/KUK-arini-the-ai-receptionist-for-dentists",
        "votes": 98,
        "created_at": "2024-02-26T18:44:16.762Z"
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        "full_name": "Aman Gour",
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        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/amangour",
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        "user_id": 1107011,
        "full_name": "Sashank Gondala",
        "title": "Founder/CTO",
        "founder_bio": "Sashank Gondala is the co-founder and CTO of FurtherAI. Previously, he is a former language modeling scientist at Apple, where he built and scaled language models for Siri. \n\nSashank is a Computer Science graduate from IIT Bombay and later did his Masters in Computer Science (Machine Learning) from Georgia Tech where he conducted research in multimodal AI alongside industry-leading scientists.",
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    "jobs": [
      {
        "id": 68037,
        "title": "Software Engineer - Backend/Fullstack [India]",
        "url": "https://www.ycombinator.com/companies/furtherai/jobs/YZZvimn-software-engineer-backend-fullstack-india",
        "location": "Remote",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$40K - $80K",
        "equity_range": "0.10% - 0.80%",
        "experience": "3+ years",
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        "skills": [
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        "title": "Sales Development Representative",
        "url": "https://www.ycombinator.com/companies/furtherai/jobs/G6CMA8T-sales-development-representative",
        "location": "San Francisco, CA, US",
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        "role_type": null,
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        "url": "https://www.ycombinator.com/companies/furtherai/jobs/sGJen8v-senior-software-engineer-backend-fullstack",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
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        "url": "https://www.ycombinator.com/companies/furtherai/jobs/zrN2j29-frontend-engineer-web",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
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        "salary_range": "$120K - $210K",
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        "url": "https://www.ycombinator.com/companies/furtherai/jobs/2uFhWmi-forward-deployed-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$120K - $180K",
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        "visa": "Will sponsor",
        "skills": [
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          "React",
          "TypeScript"
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        "id": 78629,
        "title": "Customer Success Manager",
        "url": "https://www.ycombinator.com/companies/furtherai/jobs/FjHA8gt-customer-success-manager",
        "location": "San Francisco, CA, US / Remote (US)",
        "type": "Full-time",
        "role": "Support",
        "role_type": null,
        "salary_range": "$80K - $140K",
        "equity_range": "0.05% - 0.15%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 80903,
        "title": "Founding Product Designer",
        "url": "https://www.ycombinator.com/companies/furtherai/jobs/rVO1Ds6-founding-product-designer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Design",
        "role_type": "Product design",
        "salary_range": "$150K - $220K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 81356,
        "title": "Software Engineer - Frontend [India]",
        "url": "https://www.ycombinator.com/companies/furtherai/jobs/lsRlYUA-software-engineer-frontend-india",
        "location": "IN / Remote (IN)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Frontend",
        "salary_range": "₹4M - ₹7.5M INR",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "React",
          "TypeScript"
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        "id": 86029,
        "title": "Marketing Generalist",
        "url": "https://www.ycombinator.com/companies/furtherai/jobs/Y70e7Jk-marketing-generalist",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$90K - $120K",
        "equity_range": "0.01% - 0.05%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
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        "id": 86518,
        "title": "Create your own role",
        "url": "https://www.ycombinator.com/companies/furtherai/jobs/aEVCp9Y-create-your-own-role",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$100K - $200K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
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        "title": "Solutions Engineer",
        "url": "https://www.ycombinator.com/companies/furtherai/jobs/vi15Nwd-solutions-engineer",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$155K - $180K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
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        "title": "Social Media Specialist",
        "url": "https://www.ycombinator.com/companies/furtherai/jobs/CqUsnaz-social-media-specialist",
        "location": "San Francisco",
        "type": "Full-time",
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        "id": 86524,
        "title": "Executive Assistant & Operations Lead",
        "url": "https://www.ycombinator.com/companies/furtherai/jobs/5o9123v-executive-assistant-operations-lead",
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        "title": "FurtherAI Raises $25 Million From Andreessen To Automate Insurance Workflows",
        "url": "https://www.forbes.com/sites/charliefink/2025/10/07/furtherai-raises-25m-from-andreessen-to-automate-insurance-workflows/",
        "date": "Oct 07, 2025"
      },
      {
        "title": "FurtherAI Raises $5M To Advance Its Specialized AI For Insurance",
        "url": "https://www.furtherai.com/blog/furtherai-raises-5m-to-advance-its-specialized-ai-for-insurance",
        "date": "Apr 02, 2025"
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    "launches": [
      {
        "id": 82225,
        "title": "FurtherAI: AI workspace for the insurance industry",
        "tagline": "Unlocking the massive untapped potential by automating insurance workflows",
        "body": "The insurance industry faces a severe labor shortage while over 3 million current insurance professionals are stuck doing repetitive manual tasks.\n\nAt [FurtherAI](http://furtherai.com), we are building a AI Workspace to handle these repetitive manual tasks involving unstructured data processing and data entry across disjointed systems. Our first AI Teammate tirelessly handles quote and renewal workflows, allowing the human teams to focus on strategic work.\n\n👇 [Here](https://youtu.be/6jCr0kW1MjA) is a heartfelt video from a customer highlighting their problems & opportunity\n\n### **❌ PROBLEM**\n\nIt’s widely reported that the insurance industry will lose over [400K people](https://www.insurancebusinessmag.com/us/news/breaking-news/us-insurance-sector-to-lose-around-400000-workers-by-2026-466593.aspx) by 2026. On the other hand, over [3M insurance professionals](https://www.bls.gov/iag/tgs/iag524.htm) spend most of their time manually generating proposals, checking policies, processing claims, or entering data into underwriting systems.\n\nMost of these tasks have remained manual for two reasons:\n\n* The insurance industry operates on a lot of unstructured data like policies, quotes & more\n* The software systems in the insurance industry are not connected, requiring humans to manually fill in data and forms across these systems.\n\nPreviously, it was not possible to process the unstructured data with high accuracy, and it was difficult to configure all the validation rules. To make things worse, Robotic Process Automation was too brittle to maintain.\n\nThese manual workflows take the time of the skilled workforce away from the important tasks, reducing productivity and job satisfaction.\n\nOne such manual workflow is quote generation: a mid-sized (50-200 EEs) broker/MGA generates 1000s of quotes per month by extracting data from policy documents and then entering into portals. It takes about 30-45 mins per quote.\n\n### **💡 SOLUTION**\n\nAt FurtherAI, we are building a AI Workspace to automate insurance workflows. These AI Teammates can practically automate any insurance workflow involving processing unstructured documents, data entry into internal systems or web portals, or even making phone calls.\n\n[Here](https://youtu.be/nR-j_hTdgeI) is a quick demo of the AI Teammate performing Quote Generation. It is a simple workflow:\n\n1\\. **Trigger** - Send an email along with the client application attached\n\n2\\. **Clarification** - Respond to the missing information asked by AI\n\n3\\. **Result** - Get the generated quote along with the execution video\n\nWe are building these AI Teammates to mimic human-to-human interaction.\n\n* Everything happens within the email client (Outlook/Gmail)\n* We run fine-tuned GPT models for the insurance industry\n* We are building agentic loops to make the automation reliable\n\nOur initial customers are saving over $400K in annual costs across these workflows while making them 10X faster and less prone to human errors. We are starting with the workflows of quote generation and renewals as they directly impact the top line of our customers.\n\n### **🤝 WHO ARE WE?**\n\nWe’re Aman and Sashank.\n\n[Aman](https://linkedin.com/in/amangour) is a second-time founder with around 10 years of experience in workflow automation. Previously he built and scaled his company to over $1 million ARR and worked as a Product Manager at Microsoft.\n\n[Sashank](https://www.linkedin.com/in/sashank-gondala-083132a0) is a former language modeling scientist at Apple, where he built and scaled language models for Siri. Previously he completed his Masters in AI from Georgia Tech and worked at Oracle.\n\nWe believe that, like energy, the cost of insurance affects the entire economy, and improving efficiencies here benefits everyone. Together, we’re excited to help insurance companies unlock unprecedented efficiencies with AI.\n\nIn the picture: Aman (CEO, Left), Sashank (CTO, Center), and Tom (YC Partner, Right)\n\n![uploaded image](/media/?type=post&id=82225&key=user_uploads/392100/ebc0ce07-0b93-45fa-88af-7b45144dc684)\n\n### **💫 REQUEST**\n\nThank you for taking the time to read through this ❤️\n\nWe are looking to connect with insurance brokers and MGAs to get feedback on our product and explore if they’d want to try our AI Teammates.",
        "url": "https://www.ycombinator.com/launches/LOD-furtherai-ai-workspace-for-the-insurance-industry",
        "votes": 65,
        "created_at": "2024-07-17T20:50:44.024Z"
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    "name": "ROE",
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    "former_names": [
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    "website": "https://getroe.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "ROE AI solve risks and compliance problems for financial industry.",
    "one_liner": "AI for risk and compliance",
    "team_size": 9,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1705558893,
    "tags": [
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    "top_company": false,
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    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/roe",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/roe.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/roe-ai",
    "x_url": "https://twitter.com/try_roe_ai",
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c6e62176aed0b225675a38d104b2bd4aa8deb20e.png",
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    "founders": [
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        "full_name": "Richard Meng",
        "title": "Founder/CEO",
        "founder_bio": "Cofounder & CEO of Roe AI, democratizing the access of safe, steerable, scalable Gen AI to enterprise\n\nex-tech lead of Gen AI @ Snowflake.\nSnowflake Summit 2023 Speaker.\nex-tech lead of Knowledge Graph & Generative Skill Assessment at LinkedIn\n2014-18 UC Berkeley CS & Stats ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/berkeleymeng",
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        "id": 81104,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/roe/jobs/OFFxite-founding-engineer",
        "location": "San Mateo, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$140K - $180K",
        "equity_range": "0.10% - 0.50%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": [
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          "Kubernetes",
          "Python"
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        "id": 82886,
        "title": "Founding Staff Software Engineer",
        "url": "https://www.ycombinator.com/companies/roe/jobs/c6wCCGz-founding-staff-software-engineer",
        "location": "San Mateo, CA, US",
        "type": "Full-time",
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        "role_type": "Backend",
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        "title": "Head of Product Management",
        "url": "https://www.ycombinator.com/companies/roe/jobs/6dFKkIl-head-of-product-management",
        "location": "San Mateo, CA, US",
        "type": "Full-time",
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    "news": [
      {
        "title": "Announcing $3.5M Seed Round Led By Gradient Ventures",
        "url": "https://www.getroe.ai/blog/fundraising",
        "date": "Aug 05, 2024"
      }
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    "launches": [
      {
        "id": 78571,
        "title": "Roe AI - A new data warehouse for unstructured data",
        "tagline": "What if you can process any data in this world, what would you do?",
        "body": "### **🥇TL;DR:**\n\n[Roe AI](https://roe-ai.com/) is the next-generation data warehouse that uses AI to process unstructured data like natural language, documents, images, and structured tabular data. We came from Snowflake, so we know how it enables companies to get value out of their data and we are here to help get value from even more, harder-to-reach data.\n\n![](https://bookface.ycombinator.com/media/?type=post&id=78571&key=user_uploads/1065666/b268a0a7-4a58-43b9-8b25-bfd8318a5d7a)\n\n### **Who it’s for:**\n\nIf you work with data, you should check us out!\n\n**Connect your data -** Roe AI supports various unstructured data types - natural languages, documents, websites, images, videos, etc. Connect with your data sources from S3, Snowflake, Databricks, and many more.\n\n**Create smart, multi-modal agents** **\\-** Create a powerful, customizable AI agent within 30 seconds.\n\n**Query your data with SQL -** apply AI agents on **unstructured data** using SQL queries + natural language!\n\n### **👩‍💻 A data scientist’s 3 minutes**\n\n**9:30AM Monday, San Francisco.**\n\nAnna, the data scientist at Oak Ventures, needs to understand this YC batch to help GPs make investment decisions in YC W24. \n\n**9:31 AM.** Anna logs onto Roe AI data warehouse, where she has collected tens of thousands of crawled **homepages** and **pitch decks** from startups. \n\nFrom those data, Anna hopes to find who these startups are selling to, market size, and revenue. More importantly, Anna **only** wants to target YC-backed startups because they’re the best.\n\n**9:32 AM.** Anna wrote a simple SQL with some English. \n\nThe query finishes within 6 seconds. She sees the results of over 200 YC W24 companies and their ICP, TAM, and ARR extracted from the pitch decks. Moreover, Anna checks out the pitch deck side by side to assist her analysis!\n\n![](https://lh7-us.googleusercontent.com/Q8CN1oMnEd1Xd91F0KEUYCA-nHpPrdoM4mHHUHlUgHWiML9b-QVO3j2GKTLEZ650tisYVlH8dVXfIcgaMpRqqpcWUzpv7Xp4dcI2BhskL6ArSaByMExJqM__0JHYWcQD8WHm5s_mDn9gcudMPJJGzAY)\n\nNow it’s **9:33 AM.**\n\nAnna’s Monday is just getting started, but she has achieved so much, so she decides to pour herself some coffee while enjoying the data magic of Roe AI.\n\n### **❓Why a new data warehouse?**\n\n**20% of data is structured; what about the remaining 80%?** Transcripts, Images, documents, videos, audio, people call it unstructured data.\n\nWe interviewed data teams across industries, and 85%+ of them are just leveraging that 20%! Based on that partial view, they need to make business-critical decisions. This is wrong! But why??\n\n**High barrier to leveraging AI on Data:** processing unstructured data requires a lot of AI. But today’s AI infra like GCP, Databricks, and AWS require heavy MLOps knowledge plus \\~18 weeks of eng time.\n\n**Incomplete data warehouse solutions:** the data warehouse solutions today - Snowflake, Redshift, Databricks, are made specifically for structured data - numbers, text enums, booleans, JSON, but not for images, documents, videos, audio and many more!\n\n**That’s why we built Roe AI, the next-generation data warehouse for unstructured and structured data powered by Gen AI**\n\n### **👋 Meet the team: Richard & Jason**\n\n![uploaded image](/media/?type=post&id=78571&key=user_uploads/1065666/5ae31107-247e-4be4-93bc-e9ff95b61abb)\n\n**I’m **[**Richard**](https://linkedin.com/in/berkeleymeng)**, I’ve been dedicating my life to data for the last 8 years**\n\nStarting from UC Berkeley, I researched OSM data with Berkeley’s supercomputers and graduated with a CS and stats double degree. At LinkedIn, I helped build the infra for the world’s largest economic graph, connecting the world’s best talent with dream jobs.\n\nAt Snowflake, I led the Gen AI initiative and created the first AI data copilot on Snowflake. We tuned open-source LLM from the ground up and served AI data copilot to hundreds of Fortune 2000 customers on their enterprise data workloads.\n\n**I'm **[**Jason**](https://linkedin.com/in/jason-wang-a29851128)**. The last 7 years of my career are dedicated to building the most scalable infrastructure**\n\nI also began my journey at UC Berkeley, graduating with a CS and Applied Maths double degree. At Meta, I contributed to the largest ML infrastructure on earth and developed high-performance optimization and graph algorithms, supporting thousands of ML models and hundreds of ML teams.\n\nAt Robinhood and Retool, I led the infrastructure and DevOps team and built the infrastructure foundation to support tens of thousands of enterprise applications running on the Retool platform.\n\n# **🙏 Ask**\n\n### **SIGN UP FOR THE WAITLIST! We WANT you to try THE product!**\n\nWe’ll open self-serve signup **by the end of the week**.\n\n**At this point, please leave a comment below or use the waitlist signup form on **[**roe-ai.com**](http://roe-ai.com)**. So we can send you the login instructions!**\n\nIf you want a live demo from us, please book us some time <https://calendly.com/roe-ai/intro> \n\nOr email us at [founders@roe-ai.com](mailto:founders@roe-ai.com)\n\nOr text or call us directly at (510)-325-2872\n\n![uploaded image](/media/?type=post&id=78571&key=user_uploads/1065666/96fec7c9-f390-4369-84a9-db484b7e0c68)\n\n",
        "url": "https://www.ycombinator.com/launches/KRH-roe-ai-a-new-data-warehouse-for-unstructured-data",
        "votes": 102,
        "created_at": "2024-02-20T20:10:04.598Z"
      }
    ]
  },
  {
    "id": 29295,
    "name": "Artisan",
    "slug": "artisan",
    "former_names": [
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        "title": "Ava, The Sales Rep Artisan: The AI Employee Who Automates Cold Email",
        "tagline": "Meet Ava, the AI BDR with 270M leads who gets you sales meetings on autopilot.",
        "body": "**After months of relentless work, we present Ava: the first Artisan. Ava is a BDR, and she’ll take your outbound demand generation to new heights.**\n\n# **Here’s How She Works**\n\n![uploaded image](/media/?type=post&id=77436&key=user_uploads/1602336/955e21f2-f12f-4e23-8dc1-bd9c232128c8)\n\n**When you first enter the platform, Ava will lead you through a 10-minute onboarding conversation. With this, she’ll have all of the information she needs to run your outbound campaign.**\n\n![uploaded image](/media/?type=post&id=77436&key=user_uploads/1602336/17b62f86-43ee-4f9c-aef7-6e47a9e2b500)\n\n**Ava will scrape your website and use the onboarding conversation to create a knowledge base on your company, which she’ll use to write emails.**\n\n![uploaded image](/media/?type=post&id=77436&key=user_uploads/1602336/9fbfd1ab-6740-4087-822a-06d4fa27e3d0)\n\n**Ava will prospect leads at scale, using our database of over 270 million contacts. She will gather 10s of data points on each.**\n\n![uploaded image](/media/?type=post&id=77436&key=user_uploads/1602336/835149d6-1237-4143-a244-f6d9f03e97f8)\n\n**Ava will ghostwrite & send 1000s of tailored emails to prospects on your behalf, using information provided by you and your website to understand your product, and publicly available information about leads.**\n\n![uploaded image](/media/?type=post&id=77436&key=user_uploads/1602336/b74eed39-fb54-46a5-810e-712001f4c3f4)\n\n**Ava will respond to prospects’ replies with the primary objective of booking sales meetings into your calendar. (Please note this feature is currently in Beta and you will be required to manually review all emails for the next few weeks.)**\n\n### Who Is Ava For?\n\n**We primarily built Ava for B2B SaaS startups with early product-market fit. Ava can take your market traction and pour fuel on the fire! 🔥**\n\n### **To hire Ava, head to **[**https://artisan.co/ava-sales-rep**](https://artisan.co/ava-sales-rep)**, or email **[**jaspar@artisan.co**](mailto:jaspar@artisan.co)",
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        "url": "https://www.axios.com/pro/fintech-deals/2024/05/08/compliance-software-startup-greenboard-raises-seed",
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        "id": 78359,
        "title": "Greenboard — \"Rippling\" for financial compliance & operations",
        "tagline": "Fintechs, private funds, and wealth managers use Greenboard to consolidate compliance software and detect risk using AI ",
        "body": "Hi 👋, we’re [Dave](https://www.linkedin.com/in/david-feldman/) and [Ed](https://www.linkedin.com/in/edwardschembor/), cofounders of [Greenboard](https://www.greenboard.io/).\n\n### **TLDR;**\n\nGreenboard allows financial firms to consolidate financial compliance software onto a single, easy-to-use platform. Cost-savings and streamlined experience are often what drive customers to sign - but the real magic of Greenboard happens when we aggregate our customers’ relevant data onto a single platform that uses AI to detect risk faster and more reliably than previously possible.\n\nIf you’re a fintech or compliance leader get in touch at [founders@greenboard.io](https://mailto:founders@greenboard.io).\n\n### **The problem:** financial compliance software is fragmented and bad. Maintaining compliance is hard.\n\nIn addition to paying for software, financial firms currently hire expensive consultants and large compliance teams to help maintain compliance, but this isn’t really working. Some recent examples:\n\n* [\\~$300M in fines handed out to big banks for not archiving communications](https://www.sec.gov/news/press-release/2023-149)\n* [$100M lawsuit between a regulated firm and their consultants over an egregious compliance violation](https://www.bloomberg.com/opinion/articles/2024-01-25/sure-blame-the-compliance-consultant)\n\n### **Our solution:** consolidated, human-centric software to drive a culture of compliance. AI to detect risk faster and more reliably than ever before.\n\nFinancial compliance teams today often pay for 2+ different software solutions for things like communications archiving, compliance program management, screening trades for conflicts of interest, tracking and approving marketing content, etc.\n\nGreenboard changes this by bringing all core compliance functionality onto a single platform (starting with the compliance needs of RIAs). See [greenboard.io](https://www.greenboard.io/features) for more info.\n\n![](https://greenboard-uploads.s3.us-west-1.amazonaws.com/site/flows.svg)\n\n![](https://greenboard-uploads.s3.us-west-1.amazonaws.com/site/transaction_data.svg)\n\nThe dynamics of the space remind us of HR/IT software pre-Rippling in a few ways:\n\n* A lot of fragmented functionality is needed on top of a core system of record. A lot of the needed functionality ultimately comes down to CRUD operations + collaborative tooling.\n* Clear sets of power users exist (compliance teams for us, HR people at Rippling) but everyone in an organization needs a login\n* Spend on software matters in non-revenue generating areas, and many organizations would love to consolidate vendors.\n\n### **Humans, machines, and the future of financial compliance**\n\nA super reductive checklist on how to maintain financial compliance looks something like this:\n\n1. Keep detailed records of dozens of things having to do with your business, employees, and customers\n2. Examine these records and look for bad (non-compliant) things that might be happening\n3. Address the bad things that you found and put processes in place to prevent these things from happening in the future\n\nCurrently, the technology adoption rate is high for 1) and low for 2) and 3).\n\nIt wasn’t always the case that financial firms could count on cheap hard drives and cloud computing to keep records. Not long ago when filing cabinets (and file rooms) were the norm recordkeeping required substantial resources. It turns out that computers are cheaper and better than humans at storing files by such a wide margin that there are no longer roles for file clerks in the economy.\n\nOur thesis is that GPU-powered computational statistics will similarly transform step 2) above. Ultimately machines, not humans, will prove to be meaningfully better at examining records for _potential_ compliance issues so compliance people can make determinations on compliance risk and mitigation.\n\n### **Asks**\n\nIf you’re a fintech or compliance leader we’d love to hear from you. You can reach us at [founders@greenboard.io](https://mailto:founders@greenboard.io).",
        "url": "https://www.ycombinator.com/launches/KNr-greenboard-rippling-for-financial-compliance-operations",
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        "created_at": "2024-02-12T21:58:29.466Z"
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        "body": "Hi Everyone, we are Matt, Narayan, and Tim and we are building a new programming language to automate hardware design.\n\n### **TLDR;** [atopile](http://atopile.io/) is a new language + toolchain to **design electronic circuit boards with code**.\n\nBy using code instead of graphical user interfaces, we finally bring **design reuse**, **version control,** and **automation** to hardware design.\n\n![uploaded image](/media/?type=post&id=78992&key=user_uploads/333030/65a69aca-5a22-4af8-9b16-21b76934d36e)\n\n### Our ask 📣\n\n* If you love programming, git, and electronics, try [**using atopile**](https://github.com/atopile/atopile) to design your next circuit board\n* If you know firmware engineers, test teams, validation teams or people who need to create lots of high-quality repetitive designs quickly - [**please introduce us**](mailto:founder@atopile.io)**.**\n\n### The problem\n\nWe love designing hardware. But existing design tools are slowing us down. The key reason is that in hardware design, everything is done manually: Electronic schematics are drawn by hand, files are exported through a series of clicks, and circuit boards are validated for weeks on the test bench. When systems become complex, this process becomes hugely time-consuming and error-prone. \n\nImagine writing an entire complex software program using only assembly code. This is what designing hardware feels like today.\n\n### The solution\n\n![uploaded image](/media/?type=post&id=78992&key=user_uploads/333030/7f5d19f8-f3b0-4eab-958a-f28875b60ce0)\n\natopile is a new programming language to describe electronics with code. Instead of drawing the product itself, you can now capture your product requirements using atopile source code. From there, our compiler builds and validates the product manufacturing files for you. Not only is this faster and more reliable but it also lets you use advanced software development tools such as code editors, git, GitHub, GitLab, Continuous Integration, and copilot to design hardware.\n\nAfter [**launching on Hacker News**](https://news.ycombinator.com/item?id=39263854) and getting hundreds of downloads, we have seen a glimpse of an exciting future: our users have created new designs in atopile, used GitHub for version control, shared their work on our Package Manager, and used Continuous Integration to generate their manufacturing files automatically. Our most active users have also made contributions to our codebase, which we are super thankful for!\n\nEarly on, we decided to make atopile open-core. Our goal is to create a new industry standard for describing hardware. With an open-core approach, our users have guaranteed access to their code. Our plan is to generate revenue with enterprise-targeted features, in a model similar to GitLab.\n\n**Our code is on GitHub **[**here**](https://github.com/atopile/atopile)** and we have up-to-date docs **[**here**](https://atopile.io/getting-started/)**.**\n\n### Who we are\n\n![uploaded image](/media/?type=post&id=78992&key=user_uploads/333030/62696c0f-2b40-45d4-a8f4-8bb108672f51)\n\n[Matt](https://linkedin.com/in/matthew-wildoer-467a4992), [Narayan](https://linkedin.com/in/narayan-powderly-21949a180), and [Tim](http://https//www.linkedin.com/in/timotheepeter/) are life-long inventors, engineers, and now second-time founders. We have been engineers at companies including **Tesla, DJI,** and **Lilium**. We’ve worked on teams including [the 25-guns](https://twitter.com/elonmusk/status/1324283305789812736?lang=en), created prototyping facilities under executive mandate, and led critical software projects where the daily cost-of-delay ran into the millions.\n\nThe three of us met as we were building up a maker space in the Bay Area. After a few discussions, we quickly started putting together a prototype of the atopile compiler. We knew this had the potential to change hardware design after we compiled our first electronic printed circuit board.\n\n### ✉️ We are excited for the adventure ahead! Please email us at [founders@atopile.io](mailto:founders@atopile.io) to get in touch.",
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        "title": "Keywords AI - Unified DevOps platform to build AI applications",
        "tagline": "Dead simple way to deploy & monitor AI apps with 2 lines of code.",
        "body": "### **‼️ The Problem**\n\nLLM developers face many challenges that hinder the ability to quickly build and scale high-quality products that people love:\n\n* Time-consuming infrastructure setup and maintenance for deploying and scaling LLM applications\n* Difficulty collaborating on prompt engineering and evaluating models for specific use cases\n* Challenges monitoring and ensuring consistent performance in production for optimal user experience\n* Tedious process of creating datasets for fine-tuning and iteratively improving output quality\n\n  ![uploaded image](/media/?type=post&id=79874&key=user_uploads/927016/d44261ea-e426-4e84-9f5f-5e5c9e217417)\n\n\n### **🌟 Our Solution**\n\nKeywords AI is built for developers. It has every feature needed to build, deploy, and scale LLM applications:\n\n**Infrastructure and Deployment**\n\n* OpenAI-compatible integration with 2 lines of code\n* Supports 100+ LLMs with built-in load balancing, error handling, and dynamic routing\n\n  ![uploaded image](/media/?type=post&id=79874&key=user_uploads/927016/60b64a75-0987-4bbb-93e2-f946760abbee)\n\n\n**Model Playground**\n\n* Interactive playground for comparing prompts and A/B testing different models\n* Find the best LLM for your use case through experimentation and evaluation\n\n  ![uploaded image](/media/?type=post&id=79874&key=user_uploads/927016/bc21dd8f-740b-4600-8930-f887a86c81fa)\n\n\n**Prompt Management**\n\n* Intuitive prompt management system for versioning and deploying prompts\n* Collaborative workspace for teams to share and iterate on prompts\n\n  ![uploaded image](/media/?type=post&id=79874&key=user_uploads/927016/d943ff84-f908-4744-80b9-4b5dcafc4ac7)\n\n\n**Request Logging**\n\n* Request logs for tracing and debugging user-model interactions\n* Automated output evaluation for detecting hallucination and other quality issues\n\n  ![uploaded image](/media/?type=post&id=79874&key=user_uploads/927016/9761abd2-48c2-4dfd-92df-5f6b054f02ec)\n\n\n**Performance Evaluations**\n\n* Comprehensive evaluations to compare model performance with customized metrics\n* Monitor response quality over time to build product confidence\n\n  ![uploaded image](/media/?type=post&id=79874&key=user_uploads/927016/59f074ba-0d90-4eae-93f8-3fa2328d5750)\n\n\n**Usage Dashboard**\n\n* Real-time monitoring of model performance and user analytics\n* Comprehensive overview of product usage trends and user behavior\n\n  ![uploaded image](/media/?type=post&id=79874&key=user_uploads/927016/cc4903db-9d46-4c98-a44a-babe133fc848)\n\n\n**User Analytics**\n\n* Track growth, retention, and unit economics with detailed usage analytics\n* Sentiment analysis and topic/intent classification for user insights\n\n  ![uploaded image](/media/?type=post&id=79874&key=user_uploads/927016/eec04dbb-d665-4bee-8333-285de818a6bc)\n\n\n**Data Curation and Fine-Tuning**\n\n* ​Easily collect and curate production golden dataset for model optimization\n* One-click model fine-tuning for improved performance and cost savings​\n\n  ![uploaded image](/media/?type=post&id=79874&key=user_uploads/927016/d44261ea-e426-4e84-9f5f-5e5c9e217417)\n\n\n### **🤠 The Team**\n\n[Andy](https://linkedin.com/in/hanheli) and [Raymond](https://www.ycombinator.com/companies/www.pareon.com) both studied mechanical engineering at UIUC and have been best friends since college. \n\nAndy took a gap year to work as a product design engineer at Apple after freshman year, where he designed parts for the next-gen & next-next-next-gen AirPods. He dropped out after realizing his dream job wasn’t that fun.\n\nRaymond is so good at learning things. He graduated with the highest honor in just three years and self-mastered software engineering within a year. He dropped his robotics PhD offers from top schools.\n\nWe’ve worked on a bunch of very bad ideas together in the past year. Now we think we've stumbled upon a good one :)\n\n![uploaded image](/media/?type=post&id=79874&key=user_uploads/927016/b3ead780-3541-4b92-9e26-df04c3e891cc)\n\n![uploaded image](/media/?type=post&id=79874&key=user_uploads/927016/d44261ea-e426-4e84-9f5f-5e5c9e217417)\n\n### **🔥 Keywords AI is available today!**\n\n* [Get started free](https://keywordsai.co) with $15 in credits\n* [Chat with us](https://cal.com/keywordsai/demo) if you’re building with LLMs - we’d love to be helpful\n* Join our [Discord community](https://discord.com/invite/KEanfAafQQ) of AI builders\n* Follow us on [LinkedIn](https://www.linkedin.com/company/keywordsai/) and [X](https://twitter.com/keywordsai)\n\n  ![uploaded image](/media/?type=post&id=79874&key=user_uploads/927016/d44261ea-e426-4e84-9f5f-5e5c9e217417)\n\n\n[team@keywordsai.co](mailto:team@keywordsai.co)",
        "url": "https://www.ycombinator.com/launches/KmI-keywords-ai-unified-devops-platform-to-build-ai-applications",
        "votes": 20,
        "created_at": "2024-04-02T14:24:37.708Z"
      }
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    "id": 29326,
    "name": "Monumint",
    "slug": "monumint",
    "former_names": [
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    "website": "https://monumint.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Monumint is conversational AI for financial services. We help banks, credit unions, and lenders build lasting customer relationships across the entire customer journey from account opening and loan origination to servicing and collections. Our AI agents are omni-channel, take action inside the systems financial institutions already use, and are built with compliance at their core.",
    "one_liner": "Conversational AI purpose-built for financial services",
    "team_size": 10,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1699651931,
    "tags": [
      "Fintech",
      "Finance",
      "B2B",
      "AI"
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    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
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    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
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    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/monumint",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/monumint.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/monumintcom",
    "x_url": "https://twitter.com/monumintcom",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/monumint",
    "github_url": "https://github.com/getomni-ai",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b083afd8b8c08b3bb39c078c8afa1ed5ccfc6f91.png",
    "app_video_url": null,
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    "company_photos": [
      "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/97fe3490838eda0805bd03961de6ac2d5035cb96.png"
    ],
    "primary_partner": {
      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
    },
    "founders": [
      {
        "user_id": 457262,
        "full_name": "Tyler Maran",
        "title": "Founder/CEO",
        "founder_bio": "Tyler is the CEO and co-founder of Monumint. Before Monumint, he played a pivotal role in developing AI and ML applications within the healthcare and mental health domains. His experience in establishing ML structures in stringently regulated sectors gives him a unique perspective on the tradeoffs of tech, business, and regulatory considerations.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/tyler-maran",
        "x_url": "https://twitter.com/TylerMaran",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/882991810b4504e1332c51fbf96881b29564ae58.jpg"
      },
      {
        "user_id": 1628775,
        "full_name": "Anna Pojawis",
        "title": "Founder/CTO",
        "founder_bio": "Anna is the CTO and co-founder of Monumint, a voice AI platform purpose-built for financial services. Prior to Monumint, Anna contributed to growth initiatives at Hightouch, a YC-backed reverse ETL company. She has a background in investment banking and graduated from the University of Connecticut.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/annapoj/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7292d1e102ab7ffd1d17f789d1ddc2a7ca255746.jpg"
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    ],
    "jobs": [
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        "id": 85187,
        "title": "Full Stack Engineer",
        "url": "https://www.ycombinator.com/companies/monumint/jobs/Dr0GIaE-full-stack-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $200K",
        "equity_range": "0.50% - 1.50%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
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          "TypeScript",
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        "id": 98599,
        "title": "Enterprise Account Executive",
        "url": "https://www.ycombinator.com/companies/monumint/jobs/8bboV1Y-enterprise-account-executive",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
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        "role_type": null,
        "salary_range": "$275K - $325K",
        "equity_range": "",
        "experience": "3+ years",
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        "title": "Mid Market Account Executive",
        "url": "https://www.ycombinator.com/companies/monumint/jobs/TAqtXXR-mid-market-account-executive",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
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        "role_type": null,
        "salary_range": "$225K - $275K",
        "equity_range": "",
        "experience": "3+ years",
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        "id": 98604,
        "title": "Head of Sales",
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        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$275K - $325K",
        "equity_range": "0.10% - 0.50%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 98605,
        "title": "Content Marketing Lead",
        "url": "https://www.ycombinator.com/companies/monumint/jobs/LkSS77h-content-marketing-lead",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$125K - $175K",
        "equity_range": "0.10% - 0.50%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 98610,
        "title": "Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/monumint/jobs/et9bI4n-forward-deployed-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $200K",
        "equity_range": "0.50% - 1.50%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Node.js",
          "PostgreSQL",
          "React",
          "TypeScript",
          "Next.js"
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      },
      {
        "id": 98611,
        "title": "Senior Software Engineer",
        "url": "https://www.ycombinator.com/companies/monumint/jobs/j63VmUv-senior-software-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$200K - $250K",
        "equity_range": "0.50% - 1.50%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Node.js",
          "PostgreSQL",
          "React",
          "TypeScript",
          "Next.js"
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      },
      {
        "id": 108354,
        "title": "Enterprise Sales Development Representative",
        "url": "https://www.ycombinator.com/companies/monumint/jobs/puWsZLX-enterprise-sales-development-representative",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$75K - $125K",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 114194,
        "title": "Strategic Advisor",
        "url": "https://www.ycombinator.com/companies/monumint/jobs/4ao5iXu-strategic-advisor",
        "location": "US / Remote (US)",
        "type": "Contract",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "11+ years",
        "visa": "US citizen/visa only",
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    ],
    "news": [
      {
        "title": "OmniAI transforms business data for AI | TechCrunch",
        "url": "https://techcrunch.com/2024/06/22/omniai-transforms-business-data-for-ai/",
        "date": "Jun 22, 2024"
      }
    ],
    "launches": [
      {
        "id": 105024,
        "title": "🏦 Monumint: Voice AI for financial services",
        "tagline": "AI agents that communicate with customers across the entire financial journey",
        "body": "## TL;DR\n\nFinancial services has always been a relationship business.\n\n* In the U.S., people spend 10 billion minutes a year on the phone with their bank\n* Only 60% of customer interactions occur during business hours\n* Our customers use Monumint to increase operational capacity by 4x while delivering a 24/7 high-touch customer experience\n\nFrom opening a deposit account to financing a home or growing a business, trust is built through millions of conversations between financial institutions and their customers.\n\nAt Monumint, we're building conversational AI that helps financial institutions communicate with every customer on a more personal level. From account opening and lending to servicing and collections, our AI agents support the entire financial journey.\n\n<https://youtu.be/kRdb2afGcrA>\n\n## **❌** The problem\n\nFinancial services is one of the largest industries in the world.\n\nEach year in the US there are more than 80 million new consumer and small business loans. There are more than 4,500 banks, 4,500 credit unions, and thousands of mortgage lenders, consumer lenders, and fintechs, all aiming to build lasting relationships with their customers.\n\nDespite this, much of the industry still relies on manual customer operations. Teams spend countless hours following up with customers, chasing documents, answering the same questions, and updating multiple systems.\n\n## **✅** The solution\n\nMonumint is built around three pillars.\n\n**Conversational.** Customers communicate through voice, SMS, email, and built-in web chat.\n\n**Connected.** Our AI agents integrate with existing systems including CRMs, loan origination systems, core banking platforms, and servicing software to retrieve information and take action.\n\n**Compliant.** Every conversation is designed for the regulatory requirements of financial services, including TCPA, fair lending, audit trails, and built-in guardrails.\n\nMonumint makes it possible for financial institutions to build lasting customer relationships at a scale that was never possible before.\n\nToday, we are partnered with some of the largest lenders in the country and have handled more than 5 million customer interactions.\n\n## 🙏 Our ask\n\nWe're looking for intros to banks, credit unions, lenders, and fintechs that want to bring conversational AI into their customer experience.\n\nEmail us at [tyler@monumint.com](mailto:tyler@monumint.com) or [book a demo here](https://calendly.com/meet-tyler/30min).\n\nLet’s build something monumental!",
        "url": "https://www.ycombinator.com/launches/RJw-monumint-voice-ai-for-financial-services",
        "votes": 18,
        "created_at": "2026-07-09T14:41:23.451Z"
      },
      {
        "id": 78643,
        "title": "⚡️OmniAI - Structure your unstructured data",
        "tagline": "Transform unstructured data into beautiful SQL tables.",
        "body": "Hey everyone 👋 We’re Anna and Tyler from [OmniAI](https://getomni.ai/), and we help clean up data using AI.\n\n### **🪄 Omni in action: Turn YC demo day videos into data**\n\nHere we started with a database of all the public demo day videos and extracted some of the most interesting business metrics — without needing to watch hundreds of videos.\n\n![](https://bookface.ycombinator.com/media/?type=post&id=78643&key=user_uploads/457262/b93d8e72-4fe5-4e43-b2a2-000512664002)\n\n# **Problem**\n\nA company’s most valuable data set is often its least accessible. Only 20% of corporate data lives in SQL, with the remaining 80% locked away in unstructured formats (reviews, chat logs, transcripts, pdfs). It takes some serious engineering work to answer questions like:\n\n* “Graph the most common user complaints over the last 4 years”\n* “What percentage of users complain about pricing on sales calls”\n* “How many users are getting their questions answered by our chatbot”\n\n**And this problem will only get worse as AI interfaces become more ubiquitous and more user data is locked up in chat logs. 🤖**\n\n.\n\n# **How are people solving this today?**\n\nEven YC founders don’t have a unified strategy here. From the hundreds of companies we’ve interviewed, it usually boils down to:\n\n**🌎 Outsourced data entry** - Slow and _surprisingly inaccurate_\n\n🔎 **Spot checking** - Slow and very prone to bias (i.e. _read 10 user reviews and make sweeping business decisions)_\n\n💸 **Hire some ML engineers** - Best results, but it’s going to be slow and expensive\n\n.\n\n# **Solution**\n\nUse OmniAI to turn that unstructured data into tabular data. OmniAI makes it simple to transform and enhance unstructured data, all within your existing data warehouse.\n\n* No engineering time needed\n* No calibrating models\n* And certainly no fighting with AWS SageMaker.\n\n![](https://bookface.ycombinator.com/media/?type=post&id=78643&key=user_uploads/457262/3650ce0e-79d1-4405-9a63-8b0282947c88)\n\n# **How it works**\n\nRun ML models across your data. Categorize, extract, summarize, translate, and more.\n\n* **Connect to a data warehouse -** We support Snowflake, Postgres, MySQL, and MongoDB.\n* **Choose models to run -** Define type safe schemas to run against your unstructured data. Use any of the hosted models, or define your own.\n* **Transform your data -** We’ll run those models against your data, and keep your warehouse in sync as new rows/fields are added/deleted.\n* **Query with SQL -** All the transformed data stays in your warehouse. Surface this data in your product, or analyze with your existing BI tools.\n\n![uploaded image](/media/?type=post&id=78643&key=user_uploads/457262/b2be4691-e98e-44cb-a76e-103b59d51b1e)\n\n# **Meet Tyler & Anna**\n\n[Anna](https://www.linkedin.com/in/annapoj/) comes from building ETLs and data enrichment tools at [**Hightouch**](https://bookface.ycombinator.com/company/12821). While [Tyler](https://linkedin.com/in/tyler-maran) has a background in ML and healthcare applications (most recently at [**Fair Square**](https://bookface.ycombinator.com/company/13215)). We’ve dealt with everything from syncing CRMs to fax machine APIs.\n\nWe’re building Omni because we hate working with messy data, and we can make this problem a little better for everyone.\n\n![uploaded image](/media/?type=post&id=78643&key=user_uploads/457262/25bd169d-bbe0-4c42-ac0b-fbfe55589067)\n\n# **Our ask**\n\n* **Data problems!** We’re constantly adding new tools and would love to hear about the unique data problems you face.\n* **Book a demo** with us at [getomni.ai](https://getomni.ai/)\n* **Tell people about Omni!** Know anyone drowning in a sea of PDFs, or trying to build image classification from scratch? Chances are we can help!\n\nEmail us at [**founders@getomni.ai**](mailto:founders@getomni.ai)",
        "url": "https://www.ycombinator.com/launches/KSR-omniai-structure-your-unstructured-data",
        "votes": 184,
        "created_at": "2024-02-22T16:14:42.416Z"
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    "id": 29336,
    "name": "Scout",
    "slug": "cpgscout",
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    "website": "https://cpgscout.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Scout is an AI insights tool for consumer products companies to increase topline revenue. It ingests data from retailer portals and syndicated sources (such as SPINS, NielsenIQ), and tell sales teams exactly where they can grow. Brands use Scout to figure out which accounts to expand, which SKUs to prioritize, and which promotions drove incremental sales.",
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    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Retail",
    "launched_at": 1709256802,
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      "Food & Beverage"
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    "batch": "Winter 2024",
    "status": "Active",
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      "America / Canada"
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    "year_founded": 2024,
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    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/99366646",
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    "primary_partner": {
      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
    },
    "founders": [
      {
        "user_id": 488513,
        "full_name": "Sasha Zhang",
        "title": "Founder/CEO",
        "founder_bio": "Sasha is the co-founder and CEO of Scout. Previously, Sasha helped incubate new SaaS startups at Menlo Labs and built supply chain data products at Wayfair. She studied at Carnegie Mellon and Wharton.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/sashaxzhang",
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    "jobs": [
      {
        "id": 68076,
        "title": "Growth & Operations Intern",
        "url": "https://www.ycombinator.com/companies/cpgscout/jobs/FhiEgsO-growth-operations-intern",
        "location": "US / Remote (US)",
        "type": "Internship",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$20 / hourly",
        "equity_range": "",
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        "visa": "US citizen/visa only",
        "skills": [
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      },
      {
        "id": 80896,
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        "title": "Anaphero: Automating patient-facing tasks. Happier clinicians, better care.",
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        "body": "# Confronting Healthcare's Staffing Crisis\n\nThe American healthcare system faces a daunting challenge: [clinician burnout](https://www.advisory.com/daily-briefing/2024/01/31/physician-burnout) has soared to its highest levels since the pandemic, and [aging baby boomers](https://knowledge-leader.colliers.com/shawn-janus/demand-for-healthcare-grows-as-baby-boomers-age/) are ballooning the demand for healthcare services. This strain is leading to a [critical shortfall](https://fortune.com/2024/02/14/america-shortage-primary-care-doctors-work-ai-physician-burnout-crisis/) in clinicians, jeopardizing patient care quality. Hospitals are now grappling with not only how to retain their workforce but also how to ensure patient loyalty in an increasingly competitive landscape.\n\nThe heart of the issue lies in the nature of clinicians' workloads, which include a significant amount of administrative, rules-based tasks ripe for automation. As a result, administrative automation has emerged as the [top strategic priority](https://d2d1vpa6c3q6ni.cloudfront.net/2024-executive-survey-results.png) for hospitals and insurers in 2024.\n\n### **Anaphero is building goal-oriented AI agents to expand clinical capacity**\n\n[Anaphero](https://www.anaphero.com/) addresses healthcare staffing shortages by automating routine but essential tasks. We enable health systems to deploy custom AI agents that interact with patients through text, voice, or video, emulating human clinicians. Our AI agents can answer questions, collect information, and interface with electronic health records. We've built our platform with safety at its core, incorporating proactive bias assessments, continuous risk monitoring, and clinician oversight to maintain high standards of care.\n\nOur clinical agents can safely do a lot of the work that keeps healthcare running smoothly. This not only increases clinical capacity but also allows doctors and nurses to concentrate on what they find most rewarding—making clinical decisions and counseling patients. The outcome is a workforce of more satisfied clinicians, improved care quality, and more loyal patients.\n\n### **Our Founders' Journey**\n\n[Ryan Gallagher, MD](https://www.linkedin.com/in/ryangallaghermd/) (CEO) is a Stanford/Harvard-trained physician and was on the founding team at Two Chairs and Ophelia. He helped both companies scale to $100M+ valuations. [Jeffrey Lamothe](https://www.linkedin.com/in/jeffreylamothe/) (CTO) led enterprise AI + ML projects at Amazon Alexa, Salesforce, and Citi.\n\n### **Join Our Mission**\n\nIf you're connected to hospitals, medical clinics, or digital health companies interested in automating patient interactions using AI, we'd love to hear from you at [founders@anaphero.com](mailto:founders@anaphero.com).",
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        "title": "Tamarind Bio: API for scalable bioinformatics",
        "tagline": "The simplest way for computational scientists to deploy and use bioinformatics tools!",
        "body": "**TL;DR**\n\nIn addition to our no-code web platform (<https://www.tamarind.bio/>), Tamarind Bio now offers an API for computational teams to use cutting-edge bioinformatics tools for drug discovery without setting up any computing infrastructure or scaling up GPUs. We provide protein structure prediction (e.g. AlphaFold), protein design(RFdiffusion), and molecular docking tools at large scale and easily integrated into your workflow. Additionally, we deploy your custom models for internal use, provide virtual screening services, and provide pipelines to feed the results of models as input to the next downstream tool. \n\n**The Problem**\n\nComputational biology thrives on doing in silico experiments at large scales. However, it’s tedious to allocate tens/hundreds of GPUs for compute-heavy machine learning tools, make sure they are running as intended, and analyze disparate results. Whether it’s AlphaFold for protein structure prediction, RFdiffusion for binder design or DiffDock for small molecule docking, deploying these tools scalably and connecting them to downstream pipelines steals time away from developing models and doing better science.\n\n**The Solution**\n\nTamarind is launching an API for state-of-the-art computational tools in protein design, structure prediction, and docking. Simply submit your job and check back to receive your result. Download these results, keep them in S3, or generate an analysis. \n\nTamarind now integrates seamlessly with existing computational workflows: we’ll work with you to deploy your custom models and pipelines or run on your existing cloud computing infrastructure. \n\n![uploaded image](/media/?type=post&id=78606&key=user_uploads/1224836/df4f5292-e7ca-44a4-af61-b051397dbb46)\n\nWe are [Deniz](https://linkedin.com/in/deniz-kavi) and [Sherry](https://linkedin.com/in/sherryliu987)! We met as undergrads at Stanford, where we studied Computer Science and conducted comp bio research, experiencing the inefficiencies of using bioinformatics tools firsthand. Today, 1000+ scientists from institutions including Stanford, Harvard, and Oxford regularly use Tamarind to accelerate their work, as well as many YC companies. \n\nLet us handle the DevOps, while you focus on your science!\n\n**Asks**\n\nTry Tamarind out! Use our web platform now or email us to learn more about using the API. Documentation: <https://www.tamarind.bio/api-docs>\n\n* Computational Scientists at small/medium biotech companies in Drug Discovery, Protein/Enzyme Engineering, and Virtual Screening | + adjacent fields like Antibody Discovery\n* Software engineers deploying bioinformatics models\n* Anyone who might benefit from easy-to-use bioinformatics or cheminformatics\n\n![uploaded image](/media/?type=post&id=78606&key=user_uploads/89898/2bf93fd2-1a56-4d34-ab0c-85c5680f6212)\n\nFollow us on [LinkedIn](https://www.linkedin.com/company/tamarind-bio/) to stay updated! Get in touch: [founders@tamarind.bio](mailto:founders@tamarind.bio)",
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        "title": "Tamarind Bio: No-code bioinformatics for scientists",
        "tagline": "The simplest way for life scientists to use computational tools!",
        "body": "### **TL;DR**\n\nWe allow scientists to use cutting edge computational tools for drug discovery without writing any code. We currently provide protein structure prediction (AlphaFold/ColabFold), molecular docking and protein design resources. And would be excited to learn more what computational tools might be useful for scientists.\n\nWe also provide the infrastructure to use these open-source tools at large scales, including efficiently producing large numbers of protein structures along with protein design pipelines.\n\nCheck out our tools here: [tamarind.bio/app](https://www.tamarind.bio/app)\n\n### The Problem\n\nWhether [AlphaFold](https://www.nature.com/articles/s41586-021-03819-2) for protein structure prediction, [RFdiffusion](https://www.nature.com/articles/s41586-023-06415-8) for binder design or [DiffDock](https://www.mlsb.io/papers_2022/DiffDock_Diffusion_Steps_Twists_and_Turns_for_Molecular_Docking.pdf) for small molecule docking; open source machine tools are massively useful for the life sciences. However, these tools remain inaccessible to the scientists who would benefit most from them, due to lack of technical expertise or in-house computational resources.\n\n### The Solution\n\nInstead of implementing tools yourself:\n\n![uploaded image](/media/?type=post&id=77001&key=user_uploads/1224836/2986e780-9df4-4581-bf7a-3f33686e2668)\n\nUse Tamarind:\n\n![uploaded image](/media/?type=post&id=77001&key=user_uploads/1224836/fe2a2ae7-93c9-47dd-9db9-6c800878a0f1)\n\n[Tamarind](https://www.tamarind.bio) is a website to use the state of the art computational tools in protein design, structure prediction and docking.\n\nWe met as undergrads at Stanford, where we studied Computer Science and conducted research, experiencing the inefficiencies of using bioinformatics tools firsthand. Today, hundreds of scientists from institutions including Stanford, Harvard and Oxford regularly use Tamarind to accelerate their work.\n\nNo more Linux terminals or outsourcing computational work, just focus on your science!\n\n### Asks\n\nTry [Tamarind](https://www.tamarind.bio) out!\n\nIf you have or know anyone with the following backgrounds, please get in touch at [founders@tamarind.bio](mailto:founders@tamarind.bio). We’re very excited to learn about your work.\n\n* Scientists in Drug Discovery - industry and academic\n* Computational biologists in Structural Biology\n* Anyone who might benefit from easy to use bioinformatics\n\nFollow us on [LinkedIn](https://www.linkedin.com/company/tamarind-bio/) to stay updated!",
        "url": "https://www.ycombinator.com/launches/K1x-tamarind-bio-no-code-bioinformatics-for-scientists",
        "votes": 16,
        "created_at": "2023-12-19T23:01:57.000Z"
      }
    ]
  },
  {
    "id": 29341,
    "name": "GloGlo",
    "slug": "gloglo",
    "former_names": [
      "Markprompt",
      "14.ai"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/bf27e2b5fff1afcb51538ca47d0ce384847305c2.png",
    "website": "https://gloglo.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Our mission: eradicate type 1 diabetes.\r\nGloGlo is building an AI-native therapeutics company focused on accelerating the discovery of treatments that can prevent, stop, and ultimately cure type 1 diabetes.\r\nWe are developing AI research agents that continuously analyze scientific literature and biological datasets, generate and challenge hypotheses, design experiments, and run them in a wet lab to learn from experimental results.\r\nWe are building a tight \"in silico <> in vitro/vivo\" feedback loop that helps us identify better targets, run experiments more efficiently, and move faster toward therapies for type 1 diabetes.\r\n",
    "one_liner": "Curing and preventing type 1 diabetes",
    "team_size": 3,
    "industry": "Consumer",
    "subindustry": "Consumer",
    "launched_at": 1700867535,
    "tags": [
      "AI-powered Drug Discovery",
      "Consumer Health Services",
      "Biotech",
      "E-commerce",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
      "Consumer"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/gloglo",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/gloglo.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/gloglo-energy/",
    "x_url": "https://twitter.com/gloglo_energy",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/bf27e2b5fff1afcb51538ca47d0ce384847305c2.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [
      "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/2e7688039cb80f08c6efa6e82a43b4416445600b.png"
    ],
    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
    },
    "founders": [
      {
        "user_id": 72181,
        "full_name": "Marie Schneegans",
        "title": "Founder",
        "founder_bio": "co-founder GloGlo.com: curing autoimmune diseases with AI, starting with type 1 diabetes\n",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/marie-schneegans",
        "x_url": "https://twitter.com/marieschneegans",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/85a05fccd160477dc3140f8def1392421375435a.jpg"
      },
      {
        "user_id": 425680,
        "full_name": "Michael Fester",
        "title": "Founder",
        "founder_bio": "Co-founder GloGlo.com. Previously, co-founder of Snips (AI voice platform, acquired by Sonos). Maths at Cambridge.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/michaelfester",
        "x_url": "https://twitter.com/michaelfester",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f1b9466bb4e820a48afa4b5e44d74254b46152d1.jpg"
      }
    ],
    "jobs": [
      {
        "id": 112118,
        "title": "Founding Research Scientist Biology",
        "url": "https://www.ycombinator.com/companies/gloglo/jobs/8U7Ud7v-founding-research-scientist-biology",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Science",
        "role_type": "Biology",
        "salary_range": "$100K - $200K",
        "equity_range": "1.00% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 112119,
        "title": "Research Scientist Intern Biology (housing provided in San Francisco)",
        "url": "https://www.ycombinator.com/companies/gloglo/jobs/QcxwEJT-research-scientist-intern-biology-housing-provided-in-san-francisco",
        "location": "San Francisco, CA, US",
        "type": "Internship",
        "role": "Science",
        "role_type": "Biology",
        "salary_range": "$50K - $80K",
        "equity_range": "",
        "experience": null,
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 113864,
        "title": "Founding E-commerce Lead",
        "url": "https://www.ycombinator.com/companies/gloglo/jobs/iCUgvgY-founding-e-commerce-lead",
        "location": "San Francisco, CA, US / Remote",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$50K - $200K",
        "equity_range": "1.00% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 98342,
        "title": "14.ai: The AI-Native Customer Service Agency",
        "tagline": "The customer service agency for B2C companies. Your entire customer support operation, one line on your expense sheet.",
        "body": "\n![uploaded image](/media/?type=post&id=98342&key=user_uploads/72181/7afbff3c-0ba0-4254-8473-0810886e91fa)\n\nHi everyone, we’re [Marie](https://www.linkedin.com/in/marie-schneegans/) and [Michae](https://www.linkedin.com/in/michaelfester/)l, and we’re building [14.ai](http://14.ai): the AI-native customer service agency. Our customers include AI glasses company Brilliant, men’s health supplement company Sperm Worms, Nordic lighting company Creative Lighting, and luxury skincare brand Yon-Ka. Michael previously co-founded Snips, an AI voice platform acquired by Sonos.\n\n**The problem: the death loop of customer service**\n\nWe’ve all been there: you have a simple problem that you take to customer support, but you’re forced into a never-ending cycle of being passed between different agents and explaining your situation for the (n + 1)th time.\n\n**1. The burden of effort:** If a customer is working harder than the company to solve a problem, the system has failed.\n\n**2. Fragmentation:** You start a chat on your phone, move to your desktop, and have to explain your account number and issue for the third time.\n\n**3. Dumb automation:** You talk with a chatbot that acts as a gatekeeper, not a helper.\n\n**4. Costly, slow onboarding:** Onboarding a new customer support agent brings an expensive and time-consuming burden.\n\nTraditional BPOs (Business Process Outsourcing) try to solve this through headcount in low-cost regions, and rely on manual processes and legacy CRMs that are slow to adapt and prone to error. This approach does not work.\n\n### **The solution: [14.ai](http://14.ai) is the AI-native customer service agency**\n\nWe are a full-service agency built from the ground up with AI as the core engine.\n\n#### **1. High-touch concierge**\n\nExcellent service guides everything we do. After our customers hand over their existing integrations, we tell them to stop answering tickets; now, it’s our problem. This level of service extends to our customer’s customers. We offer the best customer service in the world, and we are always working to stay that way.\n\n#### **2. Low constant onboarding**\n\n[14.ai](http://14.ai) goes live within hours. We take away the burden of onboarding new customer support agents and begin answering your tickets immediately. We get our customers to inbox zero on day zero.\n\n#### **3. Agentic resolution**\n\nMost bots just provide “how-to” links. [14.ai](http://14.ai) actually does the work. We plug in to your company’s most complex processes, autonomously verifying purchases, generating shipping labels, and triggering refunds in a single, seamless flow.\n\n#### **4. Outcomes, not tools**\n\nOur AI engineers operate our own highly tailored software for automation. Customers only see the parts they actually need to see: reports, CX metrics, resolved conversations, VIP or high-touch integrations, and the like.\n\n#### **5. The human-AI feedback loop**\n\nOur human team is supercharged, not replaced. We also service our customers around the clock, 24/7.\n\nOur full-time AI engineers are based in San Francisco and are responsible for answering every support ticket, automated or not. Every time we encounter an edge case, that intervention is fed back into our agents - they become smarter every day.\n\n### **Who is this for?**\n\n**E-commerce companies, mobile applications, fintech companies, healthcare companies, and more.** These are types of companies we’ve worked with already and have seen huge impact with. Customer relationships begin with a 7-day free trial, allowing for onboarding and for potential customers to confirm that there is a fit.\n\nEvery customer we have onboarded repurposed their support teams before their trial even finished.\n\nWe thrive where volume is high and customer support is managed by a number of human customer support agents, either domestically or overseas. If you’re a company with a backlog of support tickets, even better: we’ll take care of your entire backlog on Day 1.\n\n### **Our ask**\n\nWe want to be your customer service. If you’re tired of managing a fragmented support team, fighting with legacy BPOs and VAs, or having a backlog of support tickets, we’d love to talk.\n\n**Visit our website at[ ](https://14.ai)[14.ai](http://14.ai) or book an intro call with us here.**\n\n### **Also! We’re launching the world’s first autonomous consumer brand: GloGlo**\n\n[GloGlo](https://gloglo.com/) are rapid glucose gummies designed for Type 1 diabetics, high-performance athletes, and more. They are built to deliver rapid and reliable carbohydrates, meeting quality-of-life pain points that glucose tablets don’t address and elevating the consumption experience from existing options. The brand is powered by [14.ai](http://14.ai), meaning we are owning and operating GloGlo from the ground up. GloGlo is a blueprint for how B2C companies can operate at a world-class level autonomously, while delivering the best possible customer experience. Check it out at [gloglo.com](http://gloglo.com).\n\n![uploaded image](/media/?type=post&id=98342&key=user_uploads/72181/4e04b858-df53-4a09-a82b-7edaace7ce4b)\n\n",
        "url": "https://www.ycombinator.com/launches/PaA-14-ai-the-ai-native-customer-service-agency",
        "votes": 14,
        "created_at": "2026-03-02T18:23:05.169Z"
      },
      {
        "id": 76470,
        "title": "Markprompt – AI for customer support",
        "tagline": "Close customer support tickets faster with AI",
        "body": "Hi YC!\n\nWe’re [Marie](https://twitter.com/marieschneegans) and [Michael](https://twitter.com/michaelfester) from [Markprompt.](https://markprompt.com)\n\nWe are building AI infrastructure to power customer support at scale. We are live with companies like AngelList, Mindbody, and Plotly.\n\n![uploaded image](/media/?type=post&id=76470&key=user_uploads/72181/65f672d8-ad2b-4f01-843a-75653e4010ab)\n\n**Problem**\n\n* **Scaling customer support with headcount is expensive:** Human resources account for 90%+ of customer support expenses.\n* **Customer support agents burn out:** Support tasks incur large amounts of manual, repetitive, and ungratifying work that humans don't need to be doing, causing burnout, turnover, and reduced quality.\n* **Customer support is more than a chatbot on a website:** In an API-driven world, customer support tools need to evolve with the company’s tech stack. Existing AI-powered solutions are not delivering on the promise, resulting in sub-par customer experience and low NPS and CSAT scores.\n* **Company resources are siloed across systems:** As companies grow, so does their expert knowledge. It is hard to access at scale, and keeping employees up-to-date is nearly impossible.\n\n**Solution**\n\n* **Comprehensive data indexing:** Markprompt addresses the root of the information access problem by indexing all available knowledge within a company, setting the foundation for a robust system of record to feed the AI. This includes:\n  * Salesforce Knowledge databases\n  * Salesforce and Zendesk tickets\n  * Notion wikis\n  * GitHub repositories, discussions, and issues\n  * Company websites, docs, guides, blogs\n* **An API-first approach:** Markprompt is built from the ground up with an API-first approach. Every feature, from indexing and processing of data to generating drafts, triaging tickets, creating chat replies, or triggering automations, can be achieved via our APIs. Markprompt also provides SDKs (such as React hooks and components) and no-code tools to enable integrations at all touchpoints in the customer journey.\n* **Deep integrations:** Markprompt works well within existing support platforms, such as Zendesk and Salesforce. And with our APIs, it is possible to build custom integrations to accommodate any setup.\n\nHere is an example of a bespoke ticket deflection and triaging system built with our React libraries:\n\n![uploaded image](/media/?type=post&id=76470&key=user_uploads/72181/52faa2d8-f529-4ce4-8314-a3f6e5cba849)\n\n**How we help**\n\n* **Efficient ticket deflection:** Deploy AI-driven chatbots and ticket deflection systems that efficiently handle routine queries, allowing support teams to focus on more complex cases.\n* **Accelerated case resolution:** Use automated drafts to streamline case resolution, ensuring faster response times based on the up-to-date expert knowledge.\n* **Actionable AI agents:** Enable AI agents to perform user actions, such as processing refunds or canceling a subscription, with high accuracy.\n\n**Who we are**\n\nWe are life partners, and passionate about design and AI. Michael previously founded Snips (acq. by Sonos), a privacy-respecting voice AI platform that now powers all voice interactions on Sonos speakers. Marie and Michael previously founded [Motif](https://motif.land), a collaborative docs platform based on Markdown and React. While building Motif, we realized that the tasks of maintaining company expert knowledge up to date and providing stellar customer support are intimately connected, and both can in large part be automated. This led us to build Markprompt.\n\nWe are backed by founders and operators at Algolia, Microsoft, Snowflake, Stripe and Vercel.\n\n![uploaded image](/media/?type=post&id=76470&key=user_uploads/72181/19f7c2ed-c74f-4e4a-b959-454f7645b039)\n\n**Our asks**\n\n* **Introductions:** We're looking for tech-savvy companies processing 1000+ customer support tickets per month. Please let us know if you have connections to these companies, especially folks leading Eng or Customer Support. Please introduce us via [founders@markprompt.com](mailto:founders@markprompt.com).\n* **Book a demo:** [here](https://calendly.com/markprompt/30min).\n\n ",
        "url": "https://www.ycombinator.com/launches/JtO-markprompt-ai-for-customer-support",
        "votes": 30,
        "created_at": "2023-11-28T15:00:08.419Z"
      }
    ]
  },
  {
    "id": 29343,
    "name": "Infinity",
    "slug": "infinity",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6d4375431e4067cbd0c409f02ba66c5924b3c146.png",
    "website": "https://www.infinityapp.in/",
    "all_locations": "Bengaluru, KA, India",
    "long_description": "Infinity is a banking and payments platform for cross-border businesses in India. We help our customers make cross-border payments that are 70% cheaper than traditional methods and earn income on idle cash by investing in government securities.",
    "one_liner": "Business banking for cross-border SMBs & Startups",
    "team_size": 15,
    "industry": "Fintech",
    "subindustry": "Fintech -> Payments",
    "launched_at": 1706317593,
    "tags": [
      "Fintech",
      "Payments",
      "B2B",
      "Investing",
      "International"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
      "Fintech",
      "Payments"
    ],
    "regions": [
      "India",
      "South Asia"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/infinity",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/infinity.json",
    "year_founded": 2023,
    "city": "Bengaluru",
    "country": "IN",
    "linkedin_url": "https://www.linkedin.com/company/infinityinvest/",
    "x_url": "https://x.com/Infinityapp_in",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6d4375431e4067cbd0c409f02ba66c5924b3c146.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
    },
    "founders": [
      {
        "user_id": 1347097,
        "full_name": "Sourav Choraria",
        "title": "Founder/CEO",
        "founder_bio": "Sourav is the founder & CEO of Infinity, a business banking platform for cross-border SMBs. Prior to Infinity, Sourav co-founded ClinMD(2016), healthcare data analytics company. Sourav was former head of growth at Paytm Money, India's largest wealth management platform and scaled it to 20 million MAU. He also launched India's first FD-backed secured credit card and scaled it to 100,000 users in 1 year.\n",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/sourav-choraria-9b389776",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/631281fa8a93eec3dd427765fff443c446ec2092.jpg"
      },
      {
        "user_id": 224267,
        "full_name": "Sidharth Choraria",
        "title": "Founder/CTO",
        "founder_bio": "Was previously an Amazon engineer and PM working on Appstore. Launched Amazon Appstore  IAP module (equivalent to Google Billing Library) used by app developers to monetise digital goods. Developed an instant electronic payment system to pay out app developers across 135 countries. Founding engineer of Paytm Travel & Platform Engineer at MakeMyTrip,developing systems to handle 100M daily requests. CS grad from Birla Institute of Technology & MBA in Finance from Indian School of Business.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/sidharth-choraria-25411b65/details/experience/",
        "x_url": "https://twitter.com/sidharth9932",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bc1f097e9a8afca2f398a44cc546a741582b4d32.jpg"
      }
    ],
    "jobs": [
      {
        "id": 75959,
        "title": "Software Engineer - Backend",
        "url": "https://www.ycombinator.com/companies/infinity/jobs/OFwxm4z-software-engineer-backend",
        "location": "Bengaluru, KA, IN / Bengaluru, Karnataka, IN",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "₹1M - ₹2M INR",
        "equity_range": "0.20% - 2.00%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Amazon Web Services (AWS)",
          "Java"
        ]
      }
    ],
    "news": [
      {
        "title": "[Exclusive] Y-Combinator-backed Infinity bags $1.9M in pre-seed funding | YourStory",
        "url": "https://yourstory.com/2025/02/exclusive-y-combinator-cross-border-payments-fintech-startup-infinity-bags-pre-seed-funding",
        "date": "Feb 05, 2025"
      },
      {
        "title": "Infinity: Business banking platform Infinity secures maiden funding from Y Combinator and others - The Economic Times",
        "url": "https://economictimes.indiatimes.com/tech/funding/business-banking-platform-infinity-secures-maiden-funding-from-y-combinator-and-others/articleshow/116166893.cms?from=mdr",
        "date": "Dec 10, 2024"
      },
      {
        "title": "Cross-border fintech stands out in Y Combinator’s Winter 2024 cohort | TechCrunch",
        "url": "https://techcrunch.com/2024/04/05/cross-border-fintech-y-combinator-demo-day/",
        "date": "Apr 05, 2024"
      }
    ],
    "launches": [
      {
        "id": 87402,
        "title": "Infinity - Simplifying global payments for Indian businesses",
        "tagline": "Receive international payments with - Zero fx margin. No hidden fees. 1-day settlement.",
        "body": "**TL;DR:**\n\nWhether you’re a SaaS startup managing payouts to Indian contractors or a growing business sending vendor payments to India or Operating in US Parent Indian subsidiary model, Infinity’s cross-border payments platform offers:\n\n* **Transparent, real-time FX rates.**\n* **Significantly lower fees compared to traditional banks and other providers.**\n* **Same-day settlements.**\n* **Payment Tracking / Notifications**\n* **Seamless compliance for businesses (e.g., invoicing, tax reporting).**\n\n### The Problem\n\nThe US-India payment corridor is one of the busiest globally, yet businesses face slow processing times, high fees, and hidden charges. For startups and growing companies, these inefficiencies can be a real bottleneck. In general _for every dollar a business moves from the US to India, **business loses 3-5%**_**.**\n\nOne of the primary issues with FX transactions is the lack of transparency regarding the total cost of executing payments. These costs often include:\n\n1. Wire transfer fees\n2. Correspondent bank fees\n3. Currency conversion fees\n4. Intermediary fees, among others\n\nWhile some **_providers may highlight lower fees in one category, they often compensate with higher charges in another,_** resulting in minimal or no real savings.\n\nAlso, **global payments are slow with no visibility** on the fund movement.\n\nIn the majority of instances, international bank transfers are facilitated via the SWIFT network. This network ensures the transmission of your payment to its intended recipient. Nevertheless, the path isn't always direct. Certain payments may be routed through intermediaries, often referred to as correspondent banks, akin to making multiple connecting flights before reaching your final destination.\\\n\\\n**Solution**\\\nIntroducing [Infinity](https://youtu.be/N9sdLr5QUig?si=uJPFxXZxH39au9Ht)!\n\n\\\nStreamline global customers and suppliers’ payments with local accounts.\n\n**1) Multi-currency accounts - one platform:** Easily receive funds in major currencies to facilitate transactions with overseas suppliers and customers.\n\n**2) Flat Fee - with zero FX markup:** Be fully transparent about the charges you incur. Receive a comprehensive breakdown of fees before each transaction to avoid any surprises.\n\n**3) Fast, same-day international money transfer:** Track your payment in real-time.\n\n**4) Instant remittance certificate:** You move money. Infinity will take care of compliance.\\\n\\\n**Asks**\n\nAre you dealing with cross-border operations?\n\n* **Try out Infinity** at <https://www.infinityapp.in/> — your first payment is on us!\n* [Schedule a meeting](https://calendly.com/sourav9091/) — We’d love to learn more about your global business challenges and how we can help.\n* **Email us** at [founders@infinityapp.in](mailto:founders@cuckoo.so)\n\n\\\n**😎 Team**\n\nSourav and Sidharth are siblings. This is their second startup together. Back in 2016, they co-founded health tech startup ClinMD.\n\n![uploaded image](/media/?type=post&id=87402&key=user_uploads/224267/5a1859ad-8620-4934-bce6-2e46693802e0)\n\n[Sourav](https://www.linkedin.com/in/sourav-choraria-9b389776/) was Head of the growth and product team at Paytm Money (India's largest wealth management platform). He also successfully launched India's first FD-backed credit card.\n\n[Sidharth](https://www.linkedin.com/in/sidharth-choraria-25411b65/) is a finance & tech geek. He spearheaded the In-app purchase module for the Amazon Appstore, utilized by app developers to monetize digital content globally. He successfully scaled systems to manage 100 million daily requests during his time at Paytm and MakeMyTrip.",
        "url": "https://www.ycombinator.com/launches/Mji-infinity-simplifying-global-payments-for-indian-businesses",
        "votes": 20,
        "created_at": "2025-02-04T15:16:33.974Z"
      },
      {
        "id": 78490,
        "title": "🚀 Infinity - Business banking for cross-border SMBs and startups",
        "tagline": "Infinity is a single platform to manage finances for cross-border business.",
        "body": "### TL;DR:\n\nInfinity simplifies banking for global businesses. It enables cross-border Indian companies to conduct transactions and receive payments in local currencies. Additionally, Infinity offers an in-house treasury management solution, allowing businesses to earn yield on idle cash and mitigate FX risks.\n\nHey everyone! We’re [Sourav](https://www.linkedin.com/in/sourav-choraria-9b389776/) and [Sidharth](https://www.linkedin.com/in/sidharth-choraria-25411b65/) and we're building a business banking platform for cross-border SMBs and Startups. In our past jobs, we worked as founders, wealth managers, growth hackers, and founding engineers at high-growth fintech startups.\n\n![uploaded image](/media/?type=post&id=78490&key=user_uploads/1347097/151b89e9-ff7d-4da8-8fd1-758c5bc04cac)\n\n### \n\n### 🤔 Problem\n\nBusiness banking is difficult. More so if you are global. Cross-border payments pose several challenges due to the complexities involved in transferring funds across different countries and jurisdictions.\\\n\\\n**Global payments are expensive**\\\nOne of the more basic issues with FX transactions is the lack of transparency in terms of the cost to execute FX payments. These costs can include wire transfer fees, correspondent bank fees, currency conversion fees, and intermediary fees, among others. While existing market providers might stress that one factor is low (lower than that of a competitor), that same institution might have high fees in another area, offsetting those savings.\n\n_In general for every dollar a business moves from the US to India, business loses **7%.**_\n\n**Global payments are slow**\\\nIn the majority of instances, international bank transfers are facilitated via the SWIFT network. This network ensures the transmission of your payment to its intended recipient. Nevertheless, the path isn't always direct. Certain payments may be routed through intermediaries, often referred to as correspondent banks, akin to making multiple connecting flights before reaching your final destination.\n\n_Generally speaking, international bank transfers will arrive within **one to five working days**._\n\n**There’s a compliance risk** \\\nEach transaction must be promptly reported to the Central Bank of India, accompanied by the correct invoice and purpose codes (of which there are numerous variations), sign-off from chartered accountants, etc. Failure to comply with these requirements can result in payment delays extending for months.\n\n**And There’s a FX risk**\\\nThe conversion rates between USD and INR are variable.\n\n![uploaded image](/media/?type=post&id=78490&key=user_uploads/224267/144ca69a-c117-4837-b4ae-731cfed5fc15)\n\nWhat you receive today may differ from what you get in five days. If a business converts USD to INR five days from now and the dollar weakens, it will incur losses.\n\n### 🤩 The Solution\n\nIntroducing Infinity!\\\nStreamline global customers and suppliers’ payments with local accounts.\n\n**1) Multiple local currency accounts - one platform:** Easily send, hold, and receive funds in major currencies to facilitate transactions with overseas suppliers and customers.\\\n**2) Flat Fee - with zero FX markup:** Be fully transparent about the charges you incur. Receive a comprehensive breakdown of fees before each transaction to avoid any surprises.\\\n**3) Fast, same-day international money transfer:** Track your payment in real time.\\\n**4)** **Treasury service to hedge FX:** Earn higher yields on idle cash without worrying about liquidity and underlying asset risk.\\\n**5) Instant remittance certificate:** You move money. Infinity will take care of compliance.\n\n![uploaded image](/media/?type=post&id=78490&key=user_uploads/224267/aa9f08af-a85a-4252-b889-f62c1e2a2d6a)\n\n\\\nOur long-term vision is to be the **_financial operating system_** for businesses by automating daily financial tasks, allowing them to focus on what matters most. \n\n### 😎 **Team**\n\nSourav and Sidharth are siblings. This is their second startup together. Back in 2016, they co-founded health tech startup ClinMD.\n\n[Sourav](https://www.linkedin.com/in/sourav-choraria-9b389776/) was Head of the growth and product team at Paytm Money (India's largest wealth management platform). He also successfully launched India's first FD-backed credit card. \n\n[Sidharth](https://www.linkedin.com/in/sidharth-choraria-25411b65/) is a finance & tech geek. He spearheaded the In-app purchase module for the Amazon Appstore, utilized by app developers to monetize digital content globally. He successfully scaled systems to manage 100 million daily requests during his time at Paytm and MakeMyTrip.\n\n### **🙏 Our Ask**\n\nIf you want to try us out or to know how to manage your cash, please reach out to us. We’d love to give you a demo of how Infinity works, and even if not, we’d be happy to help you figure out your cash management situation.\n\nSay hi at [**sourav@infinityapp.in**](https://mailto:sourav@infinityapp.in/) or [**sid@infinityapp.in**](https://mailto:sid@infinityapp.in/) or Whatsapp at +91-9535482864 👋🏻\n\nAnd we’ll help you get started!\n\nYou can also [fill this form](https://dashboard.infinityapp.in/auth/signup) to request a demo.\n\n* Website —[**https://www.infinityapp.in**](https://www.infinityapp.in/)\n* LinkedIn — [**https://www.linkedin.com/company/infinityinvest**](https://www.linkedin.com/company/infinityinvest)",
        "url": "https://www.ycombinator.com/launches/KPy-infinity-business-banking-for-cross-border-smbs-and-startups",
        "votes": 164,
        "created_at": "2024-02-16T22:41:05.516Z"
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    "website": "https://firebender.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Firebender is the most powerful coding agent for Android engineering. \r\n\r\nOne-click install from the IntelliJ plugin marketplace to your IDE. It has context over your codebase and lets you use the best models for asking questions, debugging code, and writing full features.\r\n\r\nUnlike other AI assistants, Firebender has access to the emulator, compose previews, and LSP tools like finding usages, renaming variables/functions. It continuously stays up to date with the latest Android SDKs, libraries, and best practices, providing more accurate and relevant assistance for Android development.",
    "one_liner": "Most powerful coding agent for Android engineers",
    "team_size": 1,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1707094110,
    "tags": [
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/firebender",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/firebender.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/firebender-com/",
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      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
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    "founders": [
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        "user_id": 451682,
        "full_name": "Aman Gottumukkala",
        "title": "Founder",
        "founder_bio": "Aman is the cofounder of Firebender, an AI-powered coding assistant built exclusively for Android Studio.\n\nBefore Firebender, Aman was a 2020 Kleiner Perkins Eng fellow and the 3rd engineer at Paradigm, where he built trading and internal data infrastructure from scratch, automated Ethereum derivative trading strategies yielding 20%, and published novel zero-knowledge cryptography research.\n\nHe interned at Google, Instagram, Twitch, and Microsoft in college.",
        "is_active": false,
        "linkedin_url": "https://linkedin.com/in/amangotchu",
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      {
        "user_id": 829883,
        "full_name": "Kevin Tang",
        "title": "Founder/CTO",
        "founder_bio": "Previously, Kevin was a software engineer at Two Sigma where he architected and built service infrastructure for modeling, trading, and engineering teams (scale ~10K CPUs, ~1PB RAM). Kevin learned to program by creating Roblox games in high school; one of his games had 2,000 concurrent players and featured on the front page.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/distributed",
        "x_url": "https://x.com/kevo1ution",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7bbc443ef4e2a920a00a376e5885f8295d52531f.jpg"
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    "jobs": [
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        "id": 79060,
        "title": "Founding Engineer (Generalist)",
        "url": "https://www.ycombinator.com/companies/firebender/jobs/yisDXr5-founding-engineer-generalist",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$180K - $250K",
        "equity_range": "1.00% - 3.00%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
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    "launches": [
      {
        "id": 84402,
        "title": "🔥 Firebender - The best AI assistant for Android Studio",
        "tagline": "Meet Firebender, Android Studio's missing AI assistant.",
        "body": "Hey everyone! We’re Aman and Kevin from [Firebender](https://firebender.com/), building the best AI tools for Android developers.\n\n**TLDR:** [Firebender](https://firebender.com/) is a **free** and **privacy-first** Android Studio AI assistant.\n\n### **🎥 Firebender in Action**\n\n<https://youtu.be/It-TD_95yNk>\n\n### **🛠️ Problem**\n\n* **Inefficient Workflows**: Constantly switching between Android Studio and ChatGPT is annoying, disrupts your development flow, and reduces productivity.\n* **AI Assistants are shit**: General-purpose AI coding tools don't integrate relevant Android-specific contexts like Logcat and the emulator. Some flat-out don’t work in Android Studio at all.\n\n  _“Gemini and Copilot are comically bad. I never use them”_ - Android Tech Lead at GoodRx\n* **Outdated Android Training Data**: Leading AI models have a knowledge cutoff that lags behind Android's fast-paced, often backward-incompatible changes. This gap leads to incorrect AI code suggestions for updated SDKs, libraries, architecture patterns, and UI frameworks like Jetpack Compose.\n\n  _“GPT4 and Claude were clueless about the Android UI framework we use. We had to build an in-house context retrieval system to make AI coding useful.”_ - Senior Staff Android Eng at Airbnb\n\n### **🔥 Our Solution - Firebender**\n\n* **Android Studio Plugin:** One click [install](https://plugins.jetbrains.com/plugin/25224-firebender) from IntelliJ marketplace.\n* **Talk to your codebase**: AI chat window for comprehensive assistance with your codebase, logs, profiler, and emulator.\n\n  ![uploaded image](/media/?type=post&id=84402&key=user_uploads/451682/07fb823c-fd19-4659-8c42-6a98d523a6aa)\n\n* **Fast Edit**: Enables quick, context-aware code modifications directly in your current file.\n\n  ![uploaded image](/media/?type=post&id=84402&key=user_uploads/451682/7bd9e58e-fd4f-4983-9967-a882197fb9d9)\n\n* **Up-to-date Android Knowledge**: Firebender scrapes real-time knowledge from the latest SDKs, libraries, repos, and docs into context.\n* **Free &amp; Privacy First**: We do **not log, store, or persist your code**.\n\nAn iOS developer with 10 years of experience built his first Android app in just 3 weeks using Firebender—a task that had taken him 3 months for iOS.\n\n_\"There was no way I could've built it as fast as I did without Firebender\"_ - iOS Eng at Sinai Health\n\n### **🤷 Why we built Firebender**\n\nA few months ago, we were developing Firebender OS - an AI-powered fork of Android. We rooted Pixel 8s and created an AI assistant that activates by holding the power button. It automated tasks like drafting calendar invites from messages and opening relevant apps based on your location and schedule. Despite using it every day, we realized the added value wasn't sufficient. We didn’t love the product.\n\nThroughout this process, we constantly struggled without a good AI coding assistant for Android development. Existing tools have shockingly poor Android support, focusing instead on other IntelliJ IDEs and languages. This gap revealed a clear opportunity so we pivoted immediately to building Firebender, the best AI coding assistant for Android developers.\n\n### 🙏 **Our Asks**\n\n* [Try Firebender](https://plugins.jetbrains.com/plugin/25224-firebender/versions/stable) for Android Studio\n* Share Firebender with your Android developer friends!",
        "url": "https://www.ycombinator.com/launches/LxK-firebender-the-best-ai-assistant-for-android-studio",
        "votes": 50,
        "created_at": "2024-09-30T22:22:09.047Z"
      }
    ]
  },
  {
    "id": 29356,
    "name": "Centralize",
    "slug": "centralize",
    "former_names": [
      "Sage",
      "Collate"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8bc7c40a368d66db588fec716bdb4cfc3dba48d1.png",
    "website": "https://www.usecentralize.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Centralize is the relationship intelligence platform for enterprise revenue. We show reps who they know inside every deal, who they're missing, and the fastest path to the decision-makers who close it. We're building the graph of who trusts who in B2B.",
    "one_liner": "The relationship intelligence platform for enterprise revenue",
    "team_size": 9,
    "industry": "B2B",
    "subindustry": "B2B -> Sales",
    "launched_at": 1699493825,
    "tags": [
      "SaaS",
      "B2B",
      "Sales",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
      "B2B",
      "Sales"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/centralize",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/centralize.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/usecentralize",
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    "primary_partner": {
      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
    },
    "founders": [
      {
        "user_id": 1541841,
        "full_name": "Rachit Kataria",
        "title": "Founder/CEO",
        "founder_bio": "Rachit is the co-founder and CEO of Centralize, the all-in-one deal workspace for high ACV revenue teams. Prior to Centralize, he was the product tech lead at AtoB (YC S20) and built the foundations of their partner-funded discounts and telematics fraud suite. Before that, he was a founding engineer on Facebook Shops and helped scale the product to hundreds of millions of MAUs. He's originally from the Bay Area and received a BS / MS in CS from the University of Southern California.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/rachitkataria",
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      {
        "user_id": 1322708,
        "full_name": "Will Wang",
        "title": "Founder/CTO",
        "founder_bio": "Will is the co-founder and CTO of Centralize, the all-in-one deal workspace for high ACV revenue teams. Prior to Centralize, Will started the prototyping team at Slack & led the initial launch of Huddles, the fastest growing product in Slack history. He also led engineering & product for Clips, Save For Later, Lists & other experimental verticals. Will was also the 1st engineer at Capture, where he built much of the product from the ground up.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/williamwang77",
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    "jobs": [
      {
        "id": 94472,
        "title": "Software Engineer (Product)",
        "url": "https://www.ycombinator.com/companies/centralize/jobs/4dgWq6o-software-engineer-product",
        "location": "San Francisco, CA, US / New York, NY, US / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$190K - $260K",
        "equity_range": "0.20% - 0.40%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
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    ],
    "news": [
      {
        "title": "Centralize is the GPS for Enterprise Deals",
        "url": "https://www.youtube.com/watch?v=dZLVDPzPITg",
        "date": "Sep 08, 2026"
      }
    ],
    "launches": [
      {
        "id": 82598,
        "title": "🤝 Centralize - AI-powered org charts for enterprise sales",
        "tagline": "The relationship intelligence platform for B2B revenue teams",
        "body": "Hey everyone! We’re Rachit and Will, the founders of [Centralize](https://usecentralize.com/).\n\n**tl;dr**: Centralize is the relationship intelligence platform for enterprise sales. We help enterprise sellers 2x their deal velocity and boost win rates by up to 56% with automatic account mapping and contact insights.\n\n---\n\n—\n\n## Problem\n\nUnderstanding customer relationships is crucial to the entire enterprise sales lifecycle, from closed won to renewal and upsell. The best teams use **account mapping,** but it’s an entirely manual and tedious exercise today. Reps are stuck making instantly outdated org charts in Powerpoint or juggling extensive CRM lists in their minds. That doesn’t even factor in ongoing conversations across stakeholders — **all of that revenue-influencing data** is buried in jumbled CRM fields, call transcripts, notes, and emails.\n\nThe result?\n\nDeals fall through due to champion blind spots. Reps don’t have enough time to prep well for calls. Pipeline reviews end in ambiguity and concerns around “happy ears”.\n\n**❌ Stalled pipeline, hours of admin overhead, and poor win rates ❌**\n\nWhat if the entire account mapping process could be automated with contact-level conversation insights?\n\n## Solution\n\n![uploaded image](/media/?type=post&id=82598&key=user_uploads/1541841/e4e3e4a0-383f-405e-a273-f6a4fa325524)\n\n**Centralize is the relationship intelligence platform for enterprise sales, helping revenue teams say the right thing, to the right person, at the right time.**\n\nOur enriched dynamic org charts make cross-department multithreading a breeze. Contact priorities update in real-time using AI-generated conversation insights from emails and calls. In-depth account planning becomes scalable and pipeline reviews now take minutes, giving leaders an objective, birds-eye view of each deal.\n\nDesigned for the entire revenue team, our platform offers unlimited seats for sales reps, leaders, CSMs, and AMs. Best of all, we meet you where your team works, right within your CRM.\n\nThe result?\n\n**✅ 2x deal velocity and increased win rates by up to 56% ✅**\n\n![uploaded image](/media/?type=post&id=82598&key=user_uploads/1541841/05dc40bf-33d5-48b6-92b8-cd6775d10254)\n\n## Team\n\n![uploaded image](/media/?type=post&id=82598&key=user_uploads/1541841/3c552384-328c-43de-a128-7b122c31979f)\n\n[Rachit Kataria](https://www.linkedin.com/in/rachitkataria/) and [Will Wang](https://www.linkedin.com/in/williamwang77/) met their first week of Freshman year at USC (fight on ✌🏽) and have been friends for almost a decade.\n\nRachit was a founding engineer on Facebook Shops and helped scale it to 250M MAUs. He left to tech lead product engineering at AtoB (S20) where he built the foundations of fuel card fraud detection. Will prototyped and led the launch of Huddles, the fastest growing product in Slack history. He left to build the future of personal productivity at Capture (W19).\n\nThroughout these experiences, both have seen first-hand how important relationships are to the initial close and continued success of an account.\n\nTogether, they’re on a mission to bring relationship intelligence to every B2B company.\n\n## 🙏🏽 Our Ask\n\nIf you run a mid-market / enterprise / strategic sales motion, let’s chat! We work with fast-growing businesses ranging from Series A to pre-IPO, so you’re in great company.\n\n[Book a demo](https://cal.com/rachit-kataria/centralize-demo) or reach out to us at [founders@usecentralize.com](mailto:founders@usecentralize.com) 😊",
        "url": "https://www.ycombinator.com/launches/LUE-centralize-ai-powered-org-charts-for-enterprise-sales",
        "votes": 7,
        "created_at": "2024-07-31T15:15:07.833Z"
      },
      {
        "id": 78889,
        "title": "🧠 Centralize - Demystify customer conversations and unlock revenue",
        "tagline": "The missing customer intelligence platform for B2B revenue teams",
        "body": "👋🏼 Hey everyone! We’re [Rachit](https://www.linkedin.com/in/rachitkataria/) and [Will](https://www.linkedin.com/in/williamwang77/), the founders of [Centralize](https://www.usecentralize.com/).\n\n**tl;dr:** Centralize is the new way for pre and post-sales teams to fully understand their customers, in one place. We’re the missing revenue tool that B2B companies use to win more deals, upsell customers, and eliminate churn.\n\n—\n\n## **Problem**\n\nEvery SaaS company has a revenue problem. Budgets are tightening, which means new deals are harder to close and existing customers are quicker to churn. Now, more than ever, Sales and Success teams need to deeply understand customer conversations across time, tools, and stakeholders.\n\nUnfortunately, this is impossible at scale. **All of that revenue-influencing data is** **hidden** in a sea of CRM fields, call transcripts, notes, emails, and tickets. For even the best teams, getting visibility across data silos, sifting through text for hours, and connecting the dots is **a herculean task**.\n\nThe result?\n\nSales reps can’t reference relevant customer stories during prospect calls to seal the deal. They get bottlenecked internally, hoping Success has the answers. CSMs don’t have the full picture of the customer journey either and can’t maximize upsell and renewal outcomes.\n\n**❌ Slower qualification, stalled pipeline, dropped deals, and more churn ❌**\n\n## **Solution**\n\nCentralize is the first customer intelligence platform that helps B2B revenue teams tell the right story, every time. We automatically centralize (😉) and analyze touch points across high-touch accounts, creating the perfect “customer brain”.\n\n**Sales** gets a ranked list of reference customers ahead of any prospect call. They get _in-context_ insights about use cases and solutions that can be used to craft a personalized narrative. Reps, new or experienced, always come across as empathetic experts and win more deals.\n\n![uploaded image](/media/?type=post&id=78889&key=user_uploads/1541841/8273fb60-4936-448b-85b0-5ccab0a104a8)\n\n**Success** gets a real-time customer dashboard to understand accounts at a glance. Leadership and ICs can go deeper with instant, self-serve answers to _any customer question_. Renewals, reporting, and QBRs become a breeze when you know exactly what’s happening on the ground.\n\n![uploaded image](/media/?type=post&id=78889&key=user_uploads/1541841/7cd7e0cb-0041-4afe-ab28-520f18c0fe3b)\n\nThe result?\n\n**✅ Qualify 10x faster, boost lead to opportunity conversion rates, win more deals, drive upsells, and eliminate churn ✅**\n\n## **Team**\n\n![uploaded image](/media/?type=post&id=78889&key=user_uploads/1541841/34599b9e-7c0a-4f1b-8d4b-bb42ee45f884)\n\nRachit Kataria and Will Wang met their first week of freshman year at USC (fight on ✌🏽) and have been friends for almost a decade.\n\nRachit was a founding engineer on Facebook Shops and helped scale it to 250M MAUs. He left to tech lead product engineering at AtoB (S20) where he built the foundations of fuel card fraud detection. Will prototyped and led the launch of Huddles, the fastest growing product in Slack history. He left to build the future of personal productivity at Capture (W19).\n\nThey know that it pays to be customer-obsessed and they’re on a mission to make that incredibly easy for every B2B company.\n\n## **Ask**\n\nYour revenue teams need to understand customer context to move the needle, and we’re here to help!\n\nIf you know any sales or success leaders who could benefit from Centralize, please send them our way.\n\nIf you are one, we’d love to chat! [Book a demo](https://cal.com/rachit-kataria/centralize-yc-launch) or reach out to us at [founders@usecentralize.com](mailto:founders@usecentralize.com) 😊\n\n---",
        "url": "https://www.ycombinator.com/launches/KWP-centralize-demystify-customer-conversations-and-unlock-revenue",
        "votes": 106,
        "created_at": "2024-02-29T07:47:49.126Z"
      }
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  },
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    "id": 29360,
    "name": "Open",
    "slug": "open",
    "former_names": [
      "OpenCopilot",
      "Open",
      "Opens"
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    "website": "https://open.cx",
    "all_locations": "Amman, Amman Governorate, Jordan",
    "long_description": "Open is an AI-powered, all-in-one customer support and communication platform — used in production by:\r\n\r\nPrint.com, Mollie.com, Viva.com, More.com, Orderchamp.com, OneCarNow.com, and other major enterprise companies.\r\n\r\nWe specialize in solving and automating complex support cases across email, web, phone, SMS, and WhatsApp.\r\n\r\nWe’re a research-based company currently working on releasing Support-Bench, the world’s most comprehensive AI customer support benchmark.\r\n\r\nOur team consists of +3 programming language builders, a nationwide cybersecurity competition winner at age 16, and a dentist.",
    "one_liner": "Enterprise AI customer support",
    "team_size": 21,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1701287911,
    "tags": [
      "Generative AI",
      "Customer Service",
      "Customer Support",
      "Conversational AI",
      "AI Assistant"
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    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
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      "Engineering, Product and Design"
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    "regions": [
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      "Middle East and North Africa",
      "Remote",
      "Partly Remote"
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    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/open",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/open.json",
    "year_founded": 2024,
    "city": "Amman",
    "country": "JO",
    "linkedin_url": "https://www.linkedin.com/company/opencopilot",
    "x_url": "https://x.com/opencopilot",
    "fb_url": null,
    "cb_url": null,
    "github_url": "https://github.com/openchatai/",
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    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
    },
    "founders": [
      {
        "user_id": 939439,
        "full_name": "Mohammad Gharbat",
        "title": "Founder",
        "founder_bio": "Building Open.cx",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/gharabat",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e2cc05619d9bcaae8b543d1735d5cc3b33f7a422.jpg"
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    ],
    "jobs": [
      {
        "id": 86135,
        "title": "Enterprise Account Executive (new business), Europe",
        "url": "https://www.ycombinator.com/companies/open/jobs/waG5YFh-enterprise-account-executive-new-business-europe",
        "location": "Amsterdam, NH, NL / Amsterdam, North Holland, NL / DE / ES / Remote (Amsterdam, NH, NL; Amsterdam, North Holland, NL; DE; ES)",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "€80K - €190K EUR",
        "equity_range": "0.25% - 0.50%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 86136,
        "title": "Enterprise Account Executive (new business) ",
        "url": "https://www.ycombinator.com/companies/open/jobs/JGgxRGB-enterprise-account-executive-new-business",
        "location": "San Francisco, CA, US / Remote (US)",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$230K - $300K",
        "equity_range": "0.25% - 0.50%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "Open.cx Closes $1.52M Funding Round to Disrupt Customer Support with Advanced AI Solutions",
        "url": "https://theaiinsider.tech/2025/01/13/open-cx-closes-1-52m-funding-round-to-disrupt-customer-support-with-advanced-ai-solutions/",
        "date": "Jan 13, 2025"
      },
      {
        "title": "Adriaan Mol, Mollie CEO Koen Köppen, and YC back this new AI startup: Know more  - Silicon Canals",
        "url": "https://siliconcanals.com/adriaan-mol-koen-koppen-back-open-cx/",
        "date": "Jan 13, 2025"
      },
      {
        "title": "Adriaan Mol, Mollie-ceo Koen Köppen en Y Combinator investeren samen ruim 1,5 miljoen dollar in Open.cx, een AI-tool voor customer support die is ontwikkeld door ex-Mollie-medewerker Mohammad Gharbat.",
        "url": "https://mtsprout.nl/nieuws/facebook-moeder-kapt-met-dei-initiatieven-abn-amro-wil-franse-topvrouw",
        "date": "Jan 12, 2025"
      },
      {
        "title": "Revolutionizing Customer Support: Open.cx Secures $1.52M in Pre-Seed Funding - CEOWORLD magazine",
        "url": "https://ceoworld.biz/2025/01/13/revolutionizing-customer-support-open-cx-secures-1-52m-in-pre-seed-funding/",
        "date": "Jan 12, 2025"
      },
      {
        "title": "Adriaan Mol stapt in veelbelovende AI-start-up - Emerce",
        "url": "https://www.emerce.nl/nieuws/adriaan-mol-stapt-veelbelovende-aistartup",
        "date": "Jan 12, 2025"
      }
    ],
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      {
        "id": 86713,
        "title": "Open - Enterprise AI Customer Support",
        "tagline": "All-in-one, truly AI-driven platform for customer support. Scale to millions while maintaining a personal touch with each customer.",
        "body": "### **tl;dr**\n\n[Open.cx](http://Open.cx) is an AI-powered, all-in-one customer support and communication platform designed for enterprises and high-growth businesses.\n\nIn the last few months, our customers have processed and resolved thousands of complex issues using our AI agents in industries like payment service providers, security, and e-commerce.\n\n<https://youtu.be/FhPEcRJV_hw>\n\nToday, Open is the only AI customer support platform in the **WORLD** that allows you to train AI agents from more than 27 sources in one click, deploy these agents on the Web (widget), email support, phone calling support, SMS, WhatsApp, Slack, and more channels (ALL AI)— while giving you very precise auto-recommendations on how to make your AI agents better. You can train these agents to solve the most complex support problems (L2 and L3 support issues and way beyond simple text answers).\n\n![uploaded image](/media/?type=post&id=86713&key=user_uploads/939439/ee8f7492-5d67-4459-924a-4a499c13995f)\n\n_(Unified AI inbox for web, email, SMS, WhatsApp, phone calls and more)_\n\n![uploaded image](/media/?type=post&id=86713&key=user_uploads/939439/119684d3-68a3-4284-bbaa-8d3dd2659a8d)\n\n_(Outbound support with AI phone calls, AI SMS Messages, and emails)_\n\n---\n\n---\n\n---\n\n---\n\n![uploaded image](/media/?type=post&id=86713&key=user_uploads/939439/f5409c0a-1c83-41fb-af96-f110002a971c)\n\n_(Contacts are auto-enriched with AI)_\n\n![uploaded image](/media/?type=post&id=86713&key=user_uploads/939439/8996c731-37f7-4f31-bc47-8c82caa46912)\n\n_(Train your AI agents with pre-made knowledge connections)_\n\n![uploaded image](/media/?type=post&id=86713&key=user_uploads/939439/cbf8ebd7-3ab3-402b-a61d-f366a39aca35)\n\n_(Complete control over your AI channels, settings, phone numbers and more)_\n\n![uploaded image](/media/?type=post&id=86713&key=user_uploads/939439/de92626c-f1db-4b0b-a9ed-8e6e39a3084c)\n\n_(Built with security in mind)_\n\n![uploaded image](/media/?type=post&id=86713&key=user_uploads/939439/088459d2-b6f7-4dfc-b951-8e3d07664826)\n\n(Easy-to-understand reports)\n\n### Problem\n\nThe current customer support and communication landscape is fundamentally flawed:\n\n1. **Scaling without sacrificing quality**:\n\n   Companies struggle to manage increasing ticket volumes across channels while maintaining high customer satisfaction. Adding headcount isn’t sustainable, and current tools lack the intelligence to keep up.\n2. **Fragmented and unintelligent tools**:\n\n   Businesses rely on a disconnected array of systems—one for email, another for phones, and another for chat. These tools don’t communicate, and even AI-based solutions are often limited to handling basic inquiries, leaving agents burdened with complex tasks.\n\n   Ask yourself: _How many tools did you use in 2024 to talk to your customers and to understand them better?_ We think it should be **one**.\n3. **Inadequate AI for Enterprise Needs**:\n\n   Current AI agents are optimized for basic, repetitive tasks like FAQs or simple ticket routing. They fail to handle the complexity of enterprise operations, where business rules, workflows, and logic require tailored, context-aware AI that can adapt to each organization’s unique needs. Enterprises need AI that doesn’t just automate—it understands, acts, and integrates into their processes.\n\nThis inefficiency leads to slow resolutions, frustrated customers, and rising costs.\n\n### Solution: Open.cx\n\n1. **AI at the Front Line**:\\\n   [Open.cx](http://Open.cx)’s AI manages all channels—web, phone, email, WhatsApp, chat, SMS, and Slack— fast, accurate, and consistent responses for every interaction.\n2. **Clear Handoff to Humans**:\\\n   When human intervention is needed, [Open.cx](http://Open.cx) simplifies the transition, we allow AI and human agents to collaborate effectively in a unified workspace.\n3. **Optimized for Complex Support (L2, L3)**:\\\n   We excel at handling advanced (L2 and L3) tickets, from technical troubleshooting to intricate workflows, going far beyond basic automation.\n4. **Trainable**:\\\n   We integrate with 28+ training sources (Notion, Confluence, Google Drive, Dropbox, and more), so wherever your customer support knowledge resides, we can sync it with the AI.\n5. **Enterprise-Grade Features**:\\\n   With customizable workflows, deep business logic integration, and advanced automation.\n6. **Massive Customer Understanding**:\\\n   Our **Voice of Customer (VOC)** feature provides actionable insights from every interaction, helping businesses improve products and prioritize features.\n\n### **Ask**\n\nIf your company gets more than 5,000 support tickets per month, let us know—we can help. We have a high-touch approach, and our product is super fun to work with (not my words, XD).\n\n[mo@open.cx](mailto:mo@open.cx) or [book a call.](https://cal.com/opencopilot/discovery-call-open?date=2025-01-08&month=2025-01)",
        "url": "https://www.ycombinator.com/launches/MYb-open-enterprise-ai-customer-support",
        "votes": 36,
        "created_at": "2025-01-09T15:42:53.139Z"
      }
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    "id": 29364,
    "name": "Dime",
    "slug": "dime-2",
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    "website": "https://www.dimehealth.ai/",
    "all_locations": "New York City, NY, USA",
    "long_description": "At Dime, we automate repetitive administrative work in healthcare clinics, including insurance coordination, referrals, referring-provider communication, scheduling, and patient communication. \r\n\r\nWe integrate directly with RIS and EHR systems, creating true end-to-end automation rather than adding another software layer. Our HIPAA-compliant AI agents eliminate paperwork bottlenecks, reduce errors, and restore hours of clinical time - enabling care teams to focus on patients.",
    "one_liner": "Dime automates administrative busywork at healthcare clinics",
    "team_size": 3,
    "industry": "B2B",
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    "launched_at": 1709929195,
    "tags": [
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    "isHiring": true,
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    "batch": "Winter 2024",
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      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/dime-2",
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    "year_founded": 2023,
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        "full_name": "Ashish Bajaj",
        "title": "Founder/CEO",
        "founder_bio": "Ashish is a co-founder @ Dime. \n\nHe's a passionate Detroiter (Go Lions!) excited about applying AI to help the American healthcare system operate efficiently. Before that, he spent four years in finance, first as an Investment Banker at Rothschild, and then as an Investor at TPG.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/ashish-bajaj1",
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        "user_id": 1648308,
        "full_name": "Akash Kumar",
        "title": "Founder",
        "founder_bio": "Co-Founder of dime, the factory operating system.\n\nMy roots in Detroit—the Motor City—fuel my passion for melding technology with manufacturing. Growing up with summers in factories and a family deeply embedded in the auto industry, from my dad's factory insights to my mom's work on control systems  for Chrysler, I was fascinated by how cars come to life.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/akashkumar2296",
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        "title": "Forward Deployed Engineering Intern",
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    "id": 29365,
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      "ellipsis"
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    "all_locations": "New York City, NY, USA",
    "long_description": "Ellipsis is a cloud platform that allows engineering teams to deploy fleets of coding agents. Each agent gets an isolated sandbox, scoped permissions, and hard budget caps. Full observability included. Get started with a $100 credit at www.ellipsis.dev.\r\n\r\nYou can deploy agents for feature development, code review, and workflow automation. Creating an agent is simple: simply commit a YAML file to Github. Spawn agents from Github/Linear/Slack/etc., or via a REST API or our CLI. \r\n\r\nOrganizations get full observability and governance of their cloud coding agents.  Agent session logs are downloadable so companies own their own data.\r\n\r\nFull documentation: https://www.ellipsis.dev/docs",
    "one_liner": "Cloud platform for coding agents",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1706288452,
    "tags": [
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      "Machine Learning",
      "AI"
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    "year_founded": 2023,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/ellipsis-dev/",
    "x_url": "https://twitter.com/ellipsis_dev",
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    "cb_url": "https://www.crunchbase.com/organization/bitbuilder-91a2",
    "github_url": "https://github.com/ellipsis-dev",
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    "founders": [
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        "user_id": 1449858,
        "full_name": "Hunter Brooks",
        "title": "Founder/CEO",
        "founder_bio": "Building www.ellipsis.dev, a Managed Cloud Agents platform.\n----\n\nPreviously, I created a code generation product that dynamically created programming challenges used in technical interviews. I've worked as an ML Engineer at AWS and Amazon Ads, in addition to filling various engineering roles at companies like Brigit and Capital One.\n\nBefore that, I published in the field of Astrophysics.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/seanhunterbrooks",
        "x_url": "https://twitter.com/hunterfromnyc",
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    "jobs": [
      {
        "id": 73519,
        "title": "Founding AI Engineer",
        "url": "https://www.ycombinator.com/companies/ellipsis/jobs/hOLJHSp-founding-ai-engineer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$100K - $200K",
        "equity_range": "0.50% - 5.00%",
        "experience": "1+ years",
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    "news": [
      {
        "title": "AI Coding Startups That Have Raised the Most From VCs Like A16z - Business Insider",
        "url": "https://www.businessinsider.com/ai-code-startups-that-have-raised-the-most-vcs-a16z-2024-10#ellipsis-raised-a-2-million-seed-round-in-april-2024-as-part-of-y-combinators-w24-batch-12",
        "date": "Oct 13, 2024"
      },
      {
        "title": "Ellipsis raises a $2M Seed Round - Ellipsis.dev | Automated code reviews",
        "url": "https://www.ellipsis.dev/blog/ellipsis-raises-a-2m-seed-round?utm_source=ycseedround",
        "date": "Jun 19, 2024"
      }
    ],
    "launches": [
      {
        "id": 78871,
        "title": "🤖 Ellipsis: Automated code reviews & bug fixes",
        "tagline": "We review pull requests and convert GitHub comments into working, tested code.",
        "body": "**TL;DR**: [**Ellipsis**](https://ellipsis.dev?utm_source=launchyc&utm_medium=blog&utm_campaign=yc) is a devtool that converts technical instructions into working, tested code. Customers like PromptLayer and Warp use us to review code and fix bugs, [**and you can too**](https://ellipsis.dev?utm_source=launchyc&utm_medium=blog&utm_campaign=yc)!\n\n---\n\n---\n\n—\n\nHello world, [**Hunter**](https://www.linkedin.com/in/seanhunterbrooks/) and [**Nick**](https://www.linkedin.com/in/nsbradford/) here! We’re building [**Ellipsis**](https://ellipsis.dev?utm_source=launchyc&utm_medium=blog&utm_campaign=yc), an AI devtool that allows engineering teams to ship faster. Today, our customers use us to review pull requests and convert GitHub comments into working, tested code.\n\nBut that’s just the beginning; we’re on a mission to build the AI software engineer. Specifically, we’re automating tasks for the Full Stack Engineer role, starting in the Python and JavaScript/TypeScript ecosystem.\n\n![uploaded image](/media/?type=post&id=78871&key=user_uploads/1449858/918bc808-84a8-4fd5-b106-d4db0ced57ad)\n\n### **How does it work? 🧐**\n\nWorking with Ellipsis is like working with a remote colleague; simply tag it in Slack, GitHub, or Linear. \n\nYou can ask it to:\n\n* Create multi-file code changes from natural language requirements, such as a **bug reports** or **feature requests**\n* Review a pull request, checking for **best practices** and **custom rules**\n* Answer questions about a codebase during onboarding, development, and bug triaging\n* Create daily or weekly digests of the most important changes in your codebase\n* Automate tedious changes, such as **library upgrades** and **refactors**, to a large batch of files\n\nThe best part is that Ellipsis works in the cloud, not on your local laptop. This means developers can have Ellipsis working on multiple tedious tasks in parallel, while they handle the more complex work themselves.\n\nThe question we get most often is “does it work?”, so we invite you to start a [**7 day free trial**](https://ellipsis.dev?utm_source=launchyc&utm_medium=blog&utm_campaign=yc). Or [check](https://github.com/hyperdxio/hyperdx/pull/326) [out](https://github.com/jxnl/instructor/pull/467) [some](https://github.com/relari-ai/continuous-eval/pull/43) [examples](https://github.com/ion-design/numi/pull/1) from the open source community.\n\n### **About the team 🧙‍♂️**\n\n* [**Hunter**](https://www.linkedin.com/in/seanhunterbrooks/) previously created a code generation product that dynamically generated programming challenges used in technical interviews. He's worked as a ML Engineer at AWS and Amazon Ads, in addition to filling various engineering roles at companies like Brigit and Capital One. Before teaching himself to code, he published in the field of Astrophysics.\n* [**Nick**](https://www.linkedin.com/in/nsbradford/) most recently took an AI developer tool for codebase migrations from 0 to 1 as founding engineer of Grit. Previously, he researched LLM interpretability at Redwood Research, managed several teams at ML startup Hyperscience, and worked on trading algorithms at Bridgewater Associates.\n\n### **Our ask 🙏**\n\n* [**Try it out!**](https://ellipsis.dev?utm_source=launchyc&utm_medium=blog&utm_campaign=yc) Ellipsis will review your pull requests (and do a good job!) for 7 days **for free**.\n* Share this post with Engineering leaders interested in enforcing best practices or shipping faster.\n\nOur inbox is always open at [**team@ellipsis.dev**](mailto:team@ellipsis.dev). Here’s a blurb you can copy/paste:\n\n> [Ellipsis](https://ellipsis.dev?utm_source=launchyc&utm_medium=blog&utm_campaign=yc) is an AI devtool that reviews pull requests and converts GitHub comments into working, tested code. Customers like [PromptLayer](https://promptlayer.com/) and [Warp](https://www.joinwarp.com/) use them to ship faster because they spend less time reviewing changes and fixing bugs. You can get started with a 7 day trial immediately, or [schedule time](https://cal.com/hunter-brooks/15min) for a 15 minute demo.",
        "url": "https://www.ycombinator.com/launches/KW7-ellipsis-automated-code-reviews-bug-fixes",
        "votes": 81,
        "created_at": "2024-02-28T22:06:45.566Z"
      }
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  },
  {
    "id": 29368,
    "name": "CodeAnt AI",
    "slug": "codeant-ai",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9efd3b7815df44b6aca06023be3c607e3a345ee5.png",
    "website": "https://codeant.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "CodeAnt AI attacks your systems the way a real adversary would, then it walks back into your code and helps you build the defenses exactly where the attack got through.\r\n\r\nContinuous attack. Continuous defense. One self-learning platform.\r\n\r\nTrigger a free pentest No engagement fee. Pay only if we find high or critical issues; low and medium issues are free.",
    "one_liner": "Autonomous offensive and defensive cybersecurity platform",
    "team_size": 25,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1700644508,
    "tags": [
      "Cybersecurity"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/codeant-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/codeant-ai.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/codeant-ai",
    "x_url": "https://x.com/CodeAntAI",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/codeant-ai",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/9efd3b7815df44b6aca06023be3c607e3a345ee5.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [
      "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/b6280c38fc5b81b68b190730904f503cb97645d1.png"
    ],
    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
    },
    "founders": [
      {
        "user_id": 304615,
        "full_name": "Amartya Jha",
        "title": "Founder/CEO",
        "founder_bio": "Amartya Jha, Co-Founder and CEO, CodeAnt AI, ships zero-days for fun. CVE-2026-29000, CVSS 10.0, full auth bypass in pac4j-jwt. CVE-2026-28292, CVSS 9.8, RCE in simple-git. Two of 87 zero-days he dropped across packages downloaded 1.85 billion times a month. Now, building offensive and defensive security in one self-learning system at CodeAnt AI.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/amartya-jha",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7172da2edfd88ef281c3d34d0195784dbc1c2909.jpg"
      },
      {
        "user_id": 438232,
        "full_name": "Chinmay Bharti",
        "title": "Founder/CTO",
        "founder_bio": "Chinmay Bharti, Co-Founder and CTO, CodeAnt AI, architected the engine behind the 100+ CVEs CodeAnt AI disclosed. Previously worked in HFTs. IIT Bombay, Electrical Engineering. Now building offensive and defensive security in one self-learning system at CodeAnt AI.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/chinmay-bharti",
        "x_url": "https://twitter.com/chhinna00",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/17860c0238400abed79f2a47cfb45197ee21565d.jpg"
      }
    ],
    "jobs": [
      {
        "id": 77432,
        "title": "Account Executive (In-person in San Francisco)",
        "url": "https://www.ycombinator.com/companies/codeant-ai/jobs/ZdQvjSA-account-executive-in-person-in-san-francisco",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$145K - $250K",
        "equity_range": "0.25% - 0.75%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 106835,
        "title": "Account Executive (In-person in San Francisco)",
        "url": "https://www.ycombinator.com/companies/codeant-ai/jobs/GF7lDUC-account-executive-in-person-in-san-francisco",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$145K - $250K",
        "equity_range": "0.25%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "CodeAnt AI uncovered a critical authentication bypass using only public key that went undetected for 6 years, CVE-2026-29000.",
        "url": "https://cyberpress.org/pac4j-jwt-authentication/",
        "date": "Mar 05, 2026"
      },
      {
        "title": "Worried About AI-Generated Code? Ask AI To Review It",
        "url": "https://www.forbes.com/sites/davidprosser/2025/05/07/worried-about-ai-generated-code-ask-ai-to-review-it/",
        "date": "May 07, 2025"
      },
      {
        "title": "CodeAnt AI Raises USD 2 Mn in Seed Funding to Streamline Code Review with AI | Entrepreneur",
        "url": "https://www.entrepreneur.com/en-in/news-and-trends/codeant-ai-raises-usd-2-mn-in-seed-funding-to-streamline/491291",
        "date": "May 07, 2025"
      }
    ],
    "launches": [
      {
        "id": 101960,
        "title": "CodeAnt AI - Autonomous offensive and defensive security",
        "tagline": "Find the breach before the attacker does!",
        "body": "### What we do\n\nCodeAnt AI attacks your systems the way a real adversary would, then it walks back into your code and helps you build the defenses exactly where the attack got through.\n\nContinuous attack. Continuous defense. One self-learning platform.\n\n![uploaded image](/media/?type=post&id=101960&key=user_uploads/304615/2d6a6c48-8892-4d33-9e38-a08770079ab0)\n\n\\\n\\\n[**Trigger a free pentest**](https://app.codeant.ai/) No engagement fee. Pay only if we find high or critical issues; low and medium issues are free.\n\n### Why us\n\nWe've run pentests for 200+ companies. Almost everyone had exposed PII, PHI, payment records, patient files, or critical data leaks.\n\nWe've also disclosed 100+ zero-day CVEs, affecting 1.85B+ monthly downloads, including [pac4j-jwt auth bypass at CVSS 10.0 ](https://www.codeant.ai/security-research/pac4j-jwt-authentication-bypass-public-key)and [simple-git RCE at CVSS 9.8](https://www.codeant.ai/security-research/simple-git-remote-code-execution-cve-2026-28292).\n\n### Why now\n\n**90% of modern software is embarrassingly easy to breach.**\n\nAttackers got AI. A human pentester gets 2 weeks and a scope doc. An AI adversary gets unlimited patience and parallelism, and it'll chain a forgotten subdomain to a leaked credential to a misconfigured auth API until the data is out.\\\n\\\nYour defenses? Still fighting the last war.\n\nSAST &amp; SCA tools surface 10,000 findings. The 50 that matter are buried. Pentest firms show up once a year. File a PDF and leave. You fly blind the other 363 days.\n\n![uploaded image](/media/?type=post&id=101960&key=user_uploads/304615/1c942f59-a1c1-418f-827c-7517ec157597)\n\n### How do we close it\n\nCodeAnt lives at every layer where code is written: CLI, IDE, PR, CI/CD. Then it takes what it learned and attacks.\n\n### What you get\n\n* **Blackbox** 500+ exploit agents (BOLA, IDOR, SSRF, auth bypass, etc)\n* **Whitebox** AI SAST, SCA, SBOMs, malware, business logics, etc.\n* **Graybox** Black-box + white-box fused, the full kill chain.\n* **Evidence** SOC 2, HIPAA, ISO compliant reports\n\nStart your [free pentest](https://app.codeant.ai/) here or schedule a [scoping call](https://meet.codeant.ai/meet/codeant-ai/demo)\n\n---",
        "url": "https://www.ycombinator.com/launches/QWW-codeant-ai-autonomous-offensive-and-defensive-security",
        "votes": 137,
        "created_at": "2026-05-26T14:44:33.425Z"
      },
      {
        "id": 94457,
        "title": "CodeAnt AI - Engineering metrics that show real developer impact. Deeper insights than LinearB.",
        "tagline": "Get full visibility into what every developer builds, fixes, and improves.",
        "body": "## **🏆 TL;DR**\n\nMost developer productivity tools show **numbers**, not **impact**.\\\nThey count commits and PRs but don’t explain what was _actually built, fixed, or improved_.\n\n**CodeAnt AI’s [Developer 360](https://www.codeant.ai/developer-360)** **gives you that missing visibility**,\n\n![uploaded image](/media/?type=post&id=94457&key=user_uploads/304615/7facde8e-ac94-47ee-bfdb-a479a02585c4)\n\n\\\nWe’re already enterprises and fast-growing startups, such as **Commvault, Sanas, Akasa Air, and Kore AI** to improve developer productivity.\n\n![uploaded image](/media/?type=post&id=94457&key=user_uploads/304615/4d0e4ff4-d08a-4668-b2e8-793bd7c4c317)\n\n## **❌ The Problem**\n\nEngineering dashboards today are full of **empty stats.**\n\nCurrent tools show _50 commits_ and _20 pull requests_, but you have no idea if that’s 50 critical bug fixes or just 50 formatting changes.\n\nLeaders can’t tell the difference between busy work and meaningful progress,\\\nand developers end up feeling like numbers, not contributors.\n\n## **🌟 The Solution - Developer 360**\n\nDeveloper 360 shows the _real story_ behind your codebase.\\\n\\\nCodeAnt AI reviews every pull request, getting the deepest context of your code, from features shipped to bugs fixed or risks introduced. It looks at every commit, pull request, and pipeline run to show what your team is really doing.\n\nYou’ll see:\n\n* What features were shipped\n* What bugs and security issues were fixed\n* Where reviews or builds are slowing things down\n* Who’s driving steady, high-quality progress\n\nEverything rolls up into a single, easy-to-understand view of your engineering work.\n\n**AI Developer Summaries** reports that explain what was shipped, fixed, or improved\n\n![uploaded image](/media/?type=post&id=94457&key=user_uploads/304615/a3209b2d-cb3d-4e6c-a074-8d8188cac1e2)\n\n**Throughput Comparison** benchmark developers on consistency, efficiency, and merge quality\n\n![uploaded image](/media/?type=post&id=94457&key=user_uploads/304615/e76e624e-23e8-4c8f-aa67-e3c92bdd36de)\n\n## **🙏 Our Ask**\n\n**Developer 360 is live at** [https://app.codeant.ai](https://app.codeant.ai%5C)\\\n\\\nGet started with the 14-day free trial, no credit card needed.\n\nWant a quick demo? [**Book a call here**](https://meet.codeant.ai/meet/codeant-ai/demo)",
        "url": "https://www.ycombinator.com/launches/OZV-codeant-ai-engineering-metrics-that-show-real-developer-impact-deeper-insights-than-linearb",
        "votes": 18,
        "created_at": "2025-10-08T00:31:53.063Z"
      },
      {
        "id": 77911,
        "title": "CodeAnt AI: AI Code Reviewer",
        "tagline": "Helping engineering teams cut code review time and bugs by over 50%.",
        "body": "### **PROBLEM:**\n\nCode reviews are already painful — slow, repetitive, and easy to miss bugs & security vulnerabilities. With more AI-written code, it's getting worse: bigger PRs, faster cycles, less peer context.\n\n### **Solution:**\n\n![uploaded image](/media/?type=post&id=77911&key=user_uploads/304615/f41a52cf-20a5-4a3d-8b03-94b77e822984)\n\n1. [CodeAnt AI](https://www.codeant.ai/) connects directly to [GitHub, GitLab, Bitbucket, Azure DevOps](https://app.codeant.ai/) in 2 clicks\n2. Builds deep Abstract Syntax Trees (ASTs) of your entire codebase\n3. Automatically reviews every PR for:\n   * Code quality issues\n   * Security vulnerabilities (SAST, IaC, Secrets, SCA, EOL libs, Cloud misconfigs)\n   * Best practice violations\n4. Flags exact lines and suggests one-click fixes in Pull Request\n5. Add custom rules and design best practices\n6. Integrates with [VS Code](https://marketplace.visualstudio.com/items?itemName=codeantai.codeantai) and [JetBrains IDE](https://plugins.jetbrains.com/plugin/23405-codeantai)\n7. Works fully inside your pull requests\n\nResult? [**Teams cut code review time and bugs by over 50%.**](https://www.codeant.ai/customer-story) _(Attached case studies)_\n\n![uploaded image](/media/?type=post&id=77911&key=user_uploads/304615/cf12efdd-ad6c-4c96-866a-07732fdc2021)\n\nTrack every code change in your repositories for security and quality issues — mapped to each developer — so you can stack-rank engineers, spot gaps, and drive targeted upskilling.\n\n### 💥 **About Us:**\n\nHello everyone, we are [Amartya](https://linkedin.com/in/amartya-jha) and [Chinmay](https://linkedin.com/in/chinmay-bharti).\n\n![uploaded image](/media/?type=post&id=77911&key=user_uploads/304615/197c0c2a-1764-4de7-b97b-120c80d3c9e6)\n\n[Amartya Jha](https://www.linkedin.com/in/amartya-jha/) scaled the platform & infrastructure at Zeta and ShareChat to handle millions of requests a day. Tired of bugs slipping through manual reviews, he quit to fix it at the root.\n\n[Chinmay Bharti](https://www.linkedin.com/in/chinmay-bharti/) is an IIT Bombay engineer with a master’s in AI and a second-time founder. He built systems at a high-frequency trading firm where even one bug could cost millions.\n\n![uploaded image](/media/?type=post&id=77911&key=user_uploads/304615/8fbcc8ff-703d-4946-8fae-1ca933276a4f)\n\n### **❇️ Ask:**\n\n1. Start a [**14-day Free trial**](https://app.codeant.ai/)**,** no credit card required\n2. Need a demo? [Schedule a call](https://calendly.com/codeant-ai/30min) with the founders",
        "url": "https://www.ycombinator.com/launches/KGd-codeant-ai-ai-code-reviewer",
        "votes": 54,
        "created_at": "2024-01-29T15:25:43.255Z"
      }
    ]
  },
  {
    "id": 29369,
    "name": "Astro Mechanica",
    "slug": "astro-mechanica",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3061d37bd8ef4d9230c3ef353d4f4f69f9f17efd.png",
    "website": "https://astromecha.co/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Astro Mechanica is reinventing supersonic aircraft by innovating on engine, airframe, and systems that industry hasn’t in over 50 years. Our electric combined cycle engine, Duality, is the world’s first jet engine that's engineered for efficiency from takeoff to Mach 3+. This new propulsion technology enables the delivery of people and payloads anywhere on Earth in just hours, laying the foundation for a new operational paradigm: an affordable point-to-point global travel network that will make on-demand, high-speed air transport the new standard of travel.",
    "one_liner": "Supersonics for the new Jet Age",
    "team_size": 52,
    "industry": "Industrials",
    "subindustry": "Industrials -> Aviation and Space",
    "launched_at": 1711740097,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
      "Industrials",
      "Aviation and Space"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Growth",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/astro-mechanica",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/astro-mechanica.json",
    "year_founded": 2021,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/astro-mechanica/",
    "x_url": "https://twitter.com/AstroMechanica",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3061d37bd8ef4d9230c3ef353d4f4f69f9f17efd.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [
      "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/97500ffe8fdf31fe0edc97c061dddf1a7215e197.png"
    ],
    "primary_partner": {
      "name": "Harj Taggar",
      "url": "https://www.ycombinator.com/people/harj-taggar"
    },
    "founders": [
      {
        "user_id": 204090,
        "full_name": "Ian Brooke",
        "title": "Founder/CEO",
        "founder_bio": "Velocity enthusiast.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/ian-brooke-b7496325",
        "x_url": "https://twitter.com/k2pilot",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5fc7f5262a481c02b46fe6a8dc7f8917aa463c09.jpg"
      }
    ],
    "jobs": [
      {
        "id": 74440,
        "title": "Open Resume Submission",
        "url": "https://www.ycombinator.com/companies/astro-mechanica/jobs/CnuC8nx-open-resume-submission",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 74443,
        "title": "Senior Mechanical Engineer",
        "url": "https://www.ycombinator.com/companies/astro-mechanica/jobs/fQXHgbU-senior-mechanical-engineer",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "Exclusive: Astro Mechanica Raises $27.1M for Supersonic Flight - Tectonic Defense",
        "url": "https://www.tectonicdefense.com/exclusive-astro-mechanica-raises-27-1m-for-supersonic-flight/?oly_enc_id=9796G7341467H2T",
        "date": "Apr 17, 2025"
      },
      {
        "title": "Ian Brooke wants to revolutionize flight as we know it",
        "url": "https://www.freethink.com/hard-tech/jet-engine",
        "date": "Sep 27, 2024"
      },
      {
        "title": "Ian Brooke wants to revolutionize flight as we know it",
        "url": "https://www.freethink.com/hard-tech/jet-engine",
        "date": "Sep 27, 2024"
      },
      {
        "title": "Astro Mechanica - Not Boring by Packy McCormick",
        "url": "https://www.notboring.co/p/astro-mechanica",
        "date": "Apr 01, 2024"
      }
    ],
    "launches": [
      {
        "id": 79893,
        "title": "Astro Mechanica: New jet engines for the new Jet Age",
        "tagline": "Accelerating access toward space and across the planet, enabled by the world’s first electric adaptive jet engine.",
        "body": "**Astro Mechanica: New jet engines for the new Jet Age**\n\nAccelerating access toward space and across the planet, enabled by the world’s first electric adaptive jet engine.\n\n**TL;DR** \n\nAstro Mechanica has invented a new kind of jet engine – the Electric Adaptive Engine. Unlike any existing engine, it's efficient at every speed. Because it's efficient at every speed, it can be used in new and different ways. It can launch payloads to orbit 3x cheaper than an all rocket system, or enable a passenger aircraft 3x faster than an airliner.\n\n**Jet Aircraft Stopped Improving in the 1970s**\n\nJet aircraft have powered much of the global economy through trade and commerce since the advent of the Jet Age, yet the technology has not changed foundationally in over 40 years. \n\nModern commercial jets are still using (more or less) the same airframes that were originally designed in the 1970s. The first Boeing 737 flew in April 1967 and the first Airbus A300 flew in October 1972. \n\nJet engines – which are limited by a trade-off between speed and efficiency – have similarly only seen incremental improvements. Newer jet engine designs (like the turbofan) are more fuel-efficient, _but slower_ than older ones (like the turbojet).\n\n**The New Jet Age**\n\n![uploaded image](/media/?type=post&id=79893&key=user_uploads/204090/9797c1b0-0c0e-4889-bdfb-87ec2fea2a34)\n\n_Powered flight starts with the engine. To change flight, you must change the engine._ \n\n**Astro Mechanica has invented a new type of jet engine that is efficient at every speed. We call it the Electric Adaptive Engine and it is not only more fuel efficient than modern jet engines, but 3x faster.** We’ve achieved this by using electric motors to drive the compressor, allowing it to spin at variable speeds and \"adapt\" to its airspeed and combustion cycle. \n\nWe built our proof-of-concept engine in just two months — something that would take the typical aerospace company a year to build. We’re now finishing up our first flight engine in just three months using $500k of off-the-shelf hardware. The next step is to build an airframe over the next 6-8 months to use that engine. We’ll then put it all together and demonstrate supersonic flight in 2025.\n\n**Here’s some photos from that first flight engine build**\n\n![uploaded image](/media/?type=post&id=79893&key=user_uploads/204090/a4f4b133-ce06-4e92-ab14-8de091f0dbf8)\n\n![uploaded image](/media/?type=post&id=79893&key=user_uploads/204090/9f0a9532-00a7-463f-acc4-d16f920ecdfe)\n\n![uploaded image](/media/?type=post&id=79893&key=user_uploads/204090/2f542446-5a56-444f-a600-0ab2c87cc82d)\n\n![uploaded image](/media/?type=post&id=79893&key=user_uploads/204090/ab220bf7-1c8d-45f7-853c-68c153b79233)\n\n![uploaded image](/media/?type=post&id=79893&key=user_uploads/204090/ef311d87-b168-466c-8b45-fd5181671fc5)\n\n**Astro Mechanica’s Master Plan**\n\n![uploaded image](/media/?type=post&id=79893&key=user_uploads/204090/a590551c-a496-47fe-bc9b-e4570cce4cf7)\n\n**Phase 1:** De-risk technology for passenger aircraft certification through applications like space launch\n\n**Phase 2:** Establish manufacturing and operational capacity to offer private flights\n\n**Phase 3:** Scale operational capacity and make supersonic flight affordable\n\n**_Why Are We Starting with Launch?_** Because it is cheaper, easier, and a regulatory hack to supersonic passenger travel. \n\n* Less stringent FAA regulations\n* Fastest and highest return on technical investments\n* Quickest iteration loop with off-the-shelf hardware\n* “Tactical Response” capability\n* “Multi-role” aircraft with commercial and military applications\n\n**_What Are the Benefits of Launching at Speed?_** An increase in payload capacity at a lower cost. We can deliver 3.5x more payload capacity by air-launching a rocket at 800 m/s – that also makes it 3.5x cheaper than launching from the ground.\n\n![uploaded image](/media/?type=post&id=79893&key=user_uploads/204090/3a7a2951-ab7f-4e72-8ef6-ee9211db02e6)\n\n**Contact Us**\n\nReach out to [info@astromecha.co](mailto:info@astromecha.co) for more information. Follow us on [LinkedIn](https://www.linkedin.com/company/astro-mechanica) and [Twitter](https://twitter.com/AstroMechanica) for news, updates, and demos.\n\n**Our Asks**\n\n* **Spread the word:** We’re looking to connect with satellite operators interested in a better way to space and investors who share our passion in redefining the future of aerospace.\n* **Help grow our team:** We’re hiring, please reach out if you or someone you know is interested in working with us.\n* **Learn more:** Follow along with us on [LinkedIn](https://www.linkedin.com/company/astro-mechanica) and [Twitter](https://twitter.com/AstroMechanica), and check out this profile of us by [Not Boring](https://www.notboring.co/p/b494460f-9b5a-4cf8-8259-137aa9cd5080)!",
        "url": "https://www.ycombinator.com/launches/Kmb-astro-mechanica-new-jet-engines-for-the-new-jet-age",
        "votes": 37,
        "created_at": "2024-04-02T20:58:34.629Z"
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    "id": 29376,
    "name": "Carma",
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    "website": "https://www.joincarma.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Carma is building an AI-native platform that transforms fleet operations from tedious, manual work into effortless, automated workflows.\r\n\r\nWe’re the fastest-growing company in fleet management software. Carma already powers some of the largest fleets in the U.S., saving operations teams thousands of hours by eliminating busywork and keeping vehicles on the road.\r\n\r\nBacked by Soma Capital, Y Combinator, founders of Superhuman, and Tier-1 investors, we are sprinting toward a Series A in 2026.\r\n\r\nWe’re hiring the top 0.1% of engineers who want real ownership and impact—starting Day 1, you’ll build and ship fast to production for enterprise clients. Fleet operations run in real time, so your work is immediately used in the field and gets real customer feedback in hours, not months.",
    "one_liner": "The AI Operating System For Modern Fleets.",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1701065445,
    "tags": [
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    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
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    "regions": [
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      "America / Canada",
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    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/carma",
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    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/carma-com",
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    "fb_url": "https://www.facebook.com/joincarmacom",
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    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
    },
    "founders": [
      {
        "user_id": 1377569,
        "full_name": "Muhammad Alasgarli",
        "title": "Founder/CEO",
        "founder_bio": "Founder & CEO @ Carma. Previously, Muhammad worked in investment banking (M&A/Restructuring) in NYC where he executed mega-cap mergers & acquisitions for publicly traded auto-tech companies, automotive OEMs, Tier 1 suppliers, and related auto service providers. He has worked on over $60B of cumulative transactions for notable corporate clients such as Carvana, Honeywell Transportation Systems, and various stakeholder affiliates of Hertz Rent-A-Car. Graduate of Washington University in St. Louis.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/muhammadalasgarli",
        "x_url": "https://twitter.com/ceocarma",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e5dc582818ac2336ab4370f4172b6d39e48dc142.jpg"
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      {
        "user_id": 1654921,
        "full_name": "Suleyman Alasgarli",
        "title": "Founder/CRO",
        "founder_bio": "Founder & Chief Growth Officer @ Carma.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/salasgarli/",
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    "jobs": [
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        "id": 88420,
        "title": "Founding Full-Stack Software Engineer (React / Node.js / NestJS / PostgreSQL)",
        "url": "https://www.ycombinator.com/companies/carma/jobs/YLaym2M-founding-full-stack-software-engineer-react-node-js-nestjs-postgresql",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$175K - $225K",
        "equity_range": "0.50% - 1.00%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
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      {
        "id": 98918,
        "title": "Carma: We replaced fleet operations with software.",
        "tagline": "AI that runs fleet ops end-to-end, unlocking revenue and curbing costs.",
        "body": "**We scrapped our original model and rebuilt Carma as an AI-native operating system for fleet operations.**\n\nSince then, every metric has compounded.\n\n⸻\n\n**The problem**\n\nFleet maintenance is the #1 cost for companies that run vehicles.\n\nAnd it’s still managed with:\n\n* 15+ disconnected tools\n* spreadsheets\n* phone calls\n\nMillion-dollar decisions happen daily.\n\nMade by people who:\n\n* aren’t automotive experts\n* aren’t incentivized on cost\n\nSo they approve everything.\n\nManagement can’t keep up. The problem requires deep technical context. It gets ignored.\n\nAs fleets grow, complexity snowballs.\n\nThe double-effect is vicious:\n\nVehicle uptime drops while costs spiral.\n\nMargins bleed heavily.\n\n⸻\n\n**Why incumbents fail**\n\nThe incumbent software providers are 30+ year-old leasing companies.\n\nThey make money when fleets replace vehicles more often.\n\nSo real optimization works against them.\n\nTheir software reflects it:\n\n* system of record\n* not system of intelligence\n\n_In reality:_ glorified Google Drive with manual data entry.\n\nNo automation. No decisions. No leverage.\n\n⸻\n\n**What we built**\n\nCarma replaces the entire stack.\n\nOur AI system, Neo, runs fleet operations end-to-end:\n\n* automates all repetitive daily workflows\n* replaces all manual labor\n* replaces all fragmented software\n\nAnd makes optimal decisions:\n\n* verifies pricing\n* selects vendors\n* schedules maintenance\n* audits invoices\n* determines replacement timing\n\nNot when a leasing company wants to sell a new vehicle.\n\nWhen it actually makes economic sense.\n\nEvery service makes Neo smarter.\n\nCustomers don’t add Carma.\n\nThey replace everything with it.\n\n⸻\n\n**Why now**\n\nAI can finally automate judgment, not just data entry.\n\n_Before:_ hire more people or accept inefficiency.\n\n_Now:_ neither.\n\n⸻\n\n**If you’re an investor or operator in this space, email us:**\n\n[muhammad@joincarma.com](mailto:muhammad@joincarma.com) - Muhammad Alasgarli, Founder and CEO\n\n[suleyman@joincarma.com](mailto:suleyman@joincarma.com) - Suleyman Alasgarli, Founder and Chief Growth Officer",
        "url": "https://www.ycombinator.com/launches/PjS-carma-we-replaced-fleet-operations-with-software",
        "votes": 4,
        "created_at": "2026-03-19T20:33:46.461Z"
      },
      {
        "id": 76596,
        "title": "🚗Carma – Fleets get top service centers to bid for same-day service",
        "tagline": "Never overpay or wait weeks for quality vehicle service ever again.",
        "body": "![uploaded image](/media/?type=post&id=76596&key=user_uploads/1377569/6e469c63-fd73-4b07-a14c-c16389064f61)\n\n**tl;dr:** Carma saves fleets generates measurable P&L savings on the order of hundreds of thousands to millions of dollars on vehicle repairs and maintenance with same-day service – Carma clients get pushed to the front of the line and don’t have to wait weeks to get vehicles back on the road!\n\n**💰Referral Opportunity:** We’re offering $100 in cash for every vehicle onboarded through a warm referral to a new client. 500 vehicles = $50,000 cash referral bonus. In addition, the referred fleet receives a 25% discount on their Carma subscription fees for their first 12 months.\n\n**🤝 [Join Carma Now](https://www.joincarma.com/)**\n\n![uploaded image](/media/?type=post&id=76596&key=user_uploads/1377569/ff0b49ed-15b5-4336-89fb-fef7553f940a)\n\nWe are also hiring top-caliber full-stack software engineers and account executives – apply [**HERE**](https://www.ycombinator.com/companies/carma/jobs) today.\n\n**👀 [See How Carma Works](https://www.youtube.com/watch?v=Hx7fTYv3GBw)**\n\n**😡The Problem: Fleets HATE getting vehicle repair!**\n\nIt’s a time-draining hassle to get vehicle repair for fleets – a lack of price transparency makes U.S. fleets lose $37 billion each year due to improper or unnecessary vehicle repairs. Based on recent industry statistics, service centers overcharge fleets 85% of the time, leaving fleets overpaying an average of 68% more than what they actually should based on the fair cost of service. The worst part: there’s not much the average fleet management team can do – most fleets rely on minimal spares and don’t have the time to price shop for quotes. 80% of fleet managers don’t know what fair auto repair pricing looks like for non-routine repairs.\n\n**💲The Solution: Carma**\n\nCarma gets fleets prioritized same-day service offers with guaranteed, locked-in pricing. Fleet managers request any service they need through Carma, which we send to our highly rated and vetted local service center Partner Centers, who respond with real-time offers. Fleet can compare multiple same-day service offers in just 60 seconds or less. Carma handles the transaction with zero fees – no marked-up prices or “convenience” charges – you pay the service center’s in-store price or better.\n\nFleets save upwards of 50% when they use Carma vs. the median price for the same service in their zip code. It takes just 30 seconds to add a car to your profile and request service.\n\n![uploaded image](/media/?type=post&id=76596&key=user_uploads/1377569/179a2ad1-4d43-4195-8951-dcba9afe1f1c)\n\n👨‍👩‍👧‍👦**Meet the TEAM**\n\nWe are setting a new standard in automotive service to make pricing transparent and the entire process hassle-free.\n\nCarma was founded by a team of automotive experts with deep technical domain expertise from the most prominent industry leaders, with a combined 120+ years of experience in the automotive service industry:\n\n* [**Muhammad Alasgarli**](https://www.linkedin.com/in/muhammadalasgarli/) **- Co-Founder & CEO.** Previously, Muhammad worked in investment banking (M&A/Restructuring) in NYC where he executed mega-cap mergers & acquisitions for publicly traded auto-tech companies, automotive OEMs, Tier 1 suppliers, and related auto service providers. He has worked on over $60B of cumulative transactions for notable corporate clients such as Carvana, Honeywell Transportation Systems, and various stakeholder affiliates of Hertz Rent-A-Car. Graduate of Washington University in St. Louis.\n* [**Suleyman Alasgarli**](https://www.linkedin.com/in/suleyman-alasgarli-6a54b1147/) **- Co-Founder & Head of Revenue.** Prior to joining Carma, Suleyman led operations for a portfolio of commercial and residential real estate investments and served as Operations Director for a prominent dental care chain, where he managed the entire sales pipeline end-to-end. Suleyman studied biology and chemistry with an emphasis in biomedical science at the University of Missouri - Kansas City.\n* **Alan Kennedy - Vice President of Sales.** Alan spent 36 years at Hunter Engineering Company, most recently as an International Regional Manager for the Asia-Pacific region and previously as a U.S. sales representative for Hunter Engineering’s sales territories in Texas and Oklahoma, specializing in undercar service equipment sales to independent automotive service centers and dealerships, with extensive experience in direct sales to both single-location and large-chain service facilities.\n* [**Doug Felt**](https://www.linkedin.com/in/doug-felt-63a30911/) **- Technical Product Manager and Subject Matter Expert.** Prior to joining Carma, Doug spent 46 years in automotive service: 32 years at Hunter Engineering Company as a Technical Training Manager and Subject Matter Expert, where he managed a portion of Hunter Engineering's training department supplying training to automotive and heavy truck technicians using over 35 satellite training centers nationally; including wheel alignment, balancing, tire changing, brake lathe operation, and counter sales training. Doug also managed training partnerships with Audi/Volkswagen, Bridgestone, Goodyear and a variety of other industry leaders. Before this, Doug spent 7 years as a Shop Manager at Hood’s Automotive and 7 years as a service technician and instructor in the U.S. Air Force.\n\n**💰Our Offer to You**\n\nOur sales process is supercharged by personal introductions, so any fleets whose owners or operational managers who you know or could introduce us to would be **very valuable**.\n\nIf you have a relationship with the C-Suite, owner, operations executive, or anyone else at business that owns cars – anything from HVAC, plumbing, pest control, landscaping, construction, cleaning & restoration, electrical contracting, sanitation, etc. – please give us a three-way intro over text or email (Muhammad, **636.293.5254 or** [**muhammad@joincarma.com**](mailto:muhammad@joincarma.com)):\n\nFor each vehicle onboarded through your warm referral to a new fleet client, we will wire you $100 in cash. 500 vehicles = $50,000 cash referral bonus. In addition, your referred fleet receives a 25% discount on their Carma subscription fees for their first 12 months.\n\n**🙋Open Letter to Fleets**\n\nDear fleets, please give us your feedback if you think anything can be improved in our user interface or user experience so we can deliver the most fluid customer journey possible. No forms, just call or text me (Muhammad, CEO) on my cell and give me direct feedback: (**636.293.5254**). You can also email your feedback to me at [**muhammad@joincarma.com**](mailto:muhammad@joincarma.com) – I read and respond to every user.\n\n**🤝 [Join Carma Now](https://www.joincarma.com/)**\n\n**👀 [See How Carma Works](https://www.youtube.com/watch?v=Hx7fTYv3GBw)**\n\n**Cities where Carma is live now: St. Louis, MO; Kansas City, KC; Oklahoma City, OK; Springfield, MO; Nashville, TN; Dallas, TX; Houston, TX; and Phoenix, AZ.**\n\n![uploaded image](/media/?type=post&id=76596&key=user_uploads/1377569/eafb09ec-394c-4a76-ab81-3edeacbd1ac2)\n\n![uploaded image](/media/?type=post&id=76596&key=user_uploads/1377569/fc1d8f92-25f7-4a9e-a501-e581f59076d5)\n\n![uploaded image](/media/?type=post&id=76596&key=user_uploads/1377569/57555baa-2c14-41fb-940e-1a9771ad01d4)\n\n![uploaded image](/media/?type=post&id=76596&key=user_uploads/1377569/9a324fb6-ede3-47b6-81d4-5da948b9b41e)\n\n![uploaded image](/media/?type=post&id=76596&key=user_uploads/1377569/6f335e2a-048c-45be-ae05-4ac410feffe7)\n\n![uploaded image](/media/?type=post&id=76596&key=user_uploads/1377569/9b7197ff-318b-4900-b00a-6afbf72ebcc6)\n\n![uploaded image](/media/?type=post&id=76596&key=user_uploads/1377569/0867d4e2-2d89-4f03-9e5d-bb52874c16f4)\n\n![uploaded image](/media/?type=post&id=76596&key=user_uploads/1377569/077bba8c-e540-4ced-a563-16d0dd271efa)\n\n![uploaded image](/media/?type=post&id=76596&key=user_uploads/1377569/d41e738c-53c5-484e-8b13-a325c7758519)\n\n![uploaded image](/media/?type=post&id=76596&key=user_uploads/1377569/1ec14d2f-a0ea-430a-be7a-7fc5cb12234b)\n\n![uploaded image](/media/?type=post&id=76596&key=user_uploads/1377569/65bb4dd4-32b2-4600-9724-87803ea5f44a)\n\n",
        "url": "https://www.ycombinator.com/launches/JvQ-carma-fleets-get-top-service-centers-to-bid-for-same-day-service",
        "votes": 21,
        "created_at": "2023-12-01T22:39:47.302Z"
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    "name": "Conduit",
    "slug": "conduit-ai",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Conduit is the leading AI agent platform for hospitality operations.\r\n\r\nOperators can create, test, and run AI agents on Conduit's harness purpose built for hospitality. On-brand agents handles the full guest journey, converting inquiries into bookings and driving upsell revenue, then runs internal operations and surfaces insights for leadership. All connected to the systems operators already use. \r\n\r\nTrusted by over 1000+ global hospitality brands across 120+ countries.",
    "one_liner": "AI Agents for Hospitality",
    "team_size": 15,
    "industry": "B2B",
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    "batch": "Winter 2024",
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    "url": "https://www.ycombinator.com/companies/conduit-ai",
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    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/useconduitai",
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    "primary_partner": {
      "name": "Pete Koomen",
      "url": "https://www.ycombinator.com/people/pete-koomen"
    },
    "founders": [
      {
        "user_id": 1382533,
        "full_name": "Cole Rubin",
        "title": "Founder/CEO",
        "founder_bio": "real estate & tech",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/colerubin",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1436666376a0a2c6af04d6fbe54192f691171593.jpg"
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      {
        "user_id": 1073248,
        "full_name": "Punn Kam",
        "title": "Founder/CTO",
        "founder_bio": "Agents that run the built world. ex-Google, prop-tech, trading/MMing.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/punnkam",
        "x_url": "https://x.com/punnkam",
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        "title": "Agent Product Manager",
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        "id": 80475,
        "title": "Member of Technical Staff",
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        "location": "San Francisco, CA, US",
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        "url": "https://www.ycombinator.com/companies/conduit-ai/jobs/rNQxsat-head-of-marketing",
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      {
        "id": 89389,
        "title": "Conduit: Conversational AI agents for housing and hospitality",
        "tagline": "AI agents that transform conversations into a source of conversions, revenue, and cost savings—without compromising on high-quality support.",
        "body": "Customer conversations are the backbone of every business. Conduit deploys AI agents that transform conversations into a source of conversions, revenue, and cost savings—without compromising on high-quality support.\n\nWe’re starting in housing and hospitality, where communication _is_ the operation. Whether it’s leasing, scheduling, or support, every core operation in housing and hospitality starts with a conversation.\n\n![uploaded image](/media/?type=post&id=89389&key=user_uploads/1073248/075a7605-c68b-411c-a5b4-994a1e5b63fc)\n\nWith the full context of your business, Conduit can talk to customers over text and voice like your best employee—responsive, consistent, and sharp, while knowing exactly when to bring in a human. And they don’t just answer questions, they drive conversations toward outcomes that matter.\n\nConduit works autonomously, but never in the dark. We give you full visibility into performance, with the ability to inspect, adjust, and improve how agents operate, so you can stay hands-off without losing control. AI is only as powerful as your ability to understand and direct it. We give you both.\n\n![uploaded image](/media/?type=post&id=89389&key=user_uploads/1073248/2eb14601-fde1-4e92-9193-d9cd9489fa22)\n\nLevel up your operation with Conduit—the conversational backbone of AI-forward companies.\n\n![uploaded image](/media/?type=post&id=89389&key=user_uploads/1073248/83805d2f-2aea-407a-80c9-2f140151512d)\n\n",
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        "id": 78716,
        "title": "🏠 HostAI - The operating system for vacation rentals",
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        "body": "**Tl;dr:** HostAI streamlines guest services, team management, maintenance, and marketing for vacation rental managers. We remove the complexity of management so managers can focus on providing great hospitality. \n\nHi everyone, we’re Punn and Cole, the founders of [HostAI](https://www.hostai.app/).\n\n![uploaded image](/media/?type=post&id=78716&key=user_uploads/1382533/4b1e29ef-79e7-4bac-9b2c-e335b5377539)\n\n[Punn:](https://www.linkedin.com/in/punnkam/) Ex-Google engineer and proptech builder.\n\n[Cole:](https://www.linkedin.com/in/colerubin/) Vacation rental manager and real estate developer. \n\n❌ **Problem:** Vacation rental management is hard\n\nIt’s like operating 50 different hotel rooms spread across an entire region. Each property requires its own processes, rules, and team members. Managers use 5-10 different third-party apps to manage everything effectively.\n\nA fragmented tech stack creates multiple failure points for something to get missed, which can negatively impact the guest experience (i.e. the door code didn’t get updated before their check-in).\n\n✅ **Our Solution:** Compound Software\n\nHostAI aggregates information and builds native tools that make managing easier. We also provide modern integrations that enable managers to build workflows to the tools they already use (i.e. Slack or Notion).\n\nOur main features include: \n\n* **Guest communication:** Handle phone calls and messaging in one place\n* **Payroll and Compliance:** Pay team members and manage permits\n* **Maintenance management:** Ticketing automation and assignment with AI\n* **Loyalty programs:** Encourage rebookings and build a boutique travel brand\n* **IoT integrations:** Seamless communication with your hardware (i.e. door locks & thermostats)\n\n![uploaded image](/media/?type=post&id=78716&key=user_uploads/1382533/26e19b6f-8226-486f-9955-67996aa3ff60)\n\n**🚀Ask**\n\n1. Connect us to vacation rental managers or hosts ([cole@hostai.app](mailto:cole@hostai.app))\n2. Next time you stay in an Airbnb or VRBO message your host our website ([hostai.app](https://hostai.app))",
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        "votes": 338,
        "created_at": "2024-02-25T04:38:04.313Z"
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        "title": "Shiboleth eyes bank-fintech compliance",
        "url": "https://www.axios.com/pro/fintech-deals/2025/02/27/shiboleth-bank-fintech-partnership-compliance-seed",
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        "id": 78847,
        "title": "Shiboleth: Automating consumer lending compliance",
        "tagline": "Enabling lending compliance teams to audit customer service chats with AI",
        "body": "**TLDR**: Lending companies use us to flag compliance violations for customer interactions and create the first drafts of the reports for the government.\n\n🚀 **Shiboleth’s Y Combinator offer:** We are so excited about our technology and the launch 🔥. If you are a financial institution and want to check the work of your QA team or auditor [shiboleth.ai/#ycdeal](http://shiboleth.ai/#ycdeal), or send an email to [founders@shiboleth.ai](mailto:founders@shiboleth.ai) to receive a free audit of up [to 20,000 calls.](mailto:founders@hiboleth.ai)\n\n—\\\n👋 Hello everyone, we are Esty and Bivu!  We are building [Shiboleth](https://www.shiboleth.ai/). If you saw a recent Garry Tan’s [tweet](https://x.com/garrytan/status/1751066532480987434?s=20) about bookface launch live, that was us :). We were chosen as one of the top products based upon “votes from batch and YC alumni”.\n\n[Esty](https://www.linkedin.com/in/esty-scheiner-cissp-oscp-9ab3a9142/) previously worked in the intersection of compliance and conversational intelligence. And [Bivu](https://linkedin.com/in/bivu-dhungana) has a decade-long experience in NLP and AI. Together, we are excited to innovate in the regulatory compliance sector, an area that is long due for innovation. We believe that automating compliance can enable smaller financial institutions to exist in the long term.\n\n![uploaded image](/media/?type=post&id=78847&key=user_uploads/1571199/31340ca2-163b-4a2e-8bde-30f14f4a9a12)\n\n❌  **The Problem:** Consumer lending is very litigious and consequently, it is heavily regulated: agencies such as CFPB, FDIC, and OCC impose a lot of intentionally ambiguous regulations. Currently, the audits are extremely manual. Even with a large team of auditors,  they can only check a fraction of the calls—sometimes as low as 2% which means that violations can be missed. Often, there is “just enough ambiguity” that the calls and communication warrant manual reviews. This is problematic because an internal audit system might not suffice for compliance purposes.\n\n🤔 **How does it work?**: Shiboleth automatically flags compliance violations in customer interactions. It does this by syncing with the companies' runbooks, using advanced LLMs and NLP to parse relevant regulations. Our extensive database of public reviews, CFPB complaints, and enforcement actions helps us identify the most enforceable regulations and recommend appropriate mitigation actions.\n\nYou can check out the [demo](https://www.youtube.com/watch?v=FYJ5OsysNJ4) below. \n\n🌤️**Who Can Use Us**: Our solution is designed for financial institutions, including banks, fintech companies, and non-bank lenders, that are looking to streamline their lending compliance processes and reduce costs. We are currently working with lending institutions but would be interested in hearing adjacent use cases\n\n📫 If you want to be part of our beta, introduce us to new use cases, or just geek out Dodd-Frank in general, please free to reach out to [founders@shiboleth.ai](mailto:founders@shiboleth.ai).",
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        "url": "https://www.ycombinator.com/companies/hazel-2/jobs/PpNKYBS-full-stack-engineer-ts-sci",
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        "title": "These AI startups stood out the most in Y Combinator's Winter 2024 batch | TechCrunch",
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      {
        "id": 87095,
        "title": "🌰 Hazel: AI procurement software for government",
        "tagline": "Making government efficient by fixing procurement",
        "body": "### 📝 **BLUF** \n\nHazel is the _only AI-native solution_ which enables public sector procurement teams to seamlessly define requirements, generate solicitations, conduct market research, and evaluate responses in one place. Public sector procurement is a time-intensive process held together by Microsoft Office, legacy point solutions, tribal knowledge, and severely overworked civil servants. Hazel is building an AI-powered platform to accelerate and streamline this mission. \n\nWe’ve engaged hundreds of government agencies with diverse missions, and we’ve been hard at work building something they want. We’re already on contract with several governments and have received funding from agencies ranging from public school districts to the U.S. Navy!\n\nIf you know anyone supporting government procurement, please contact us! \n\n### 🦅 **About Us + What’s New** \n\nWe’re Elton and August, and we along with our 3 amazing founding software engineers currently operate out of NYC, Boston, DC, and Salt Lake City. We’re excited to (finally) re-launch Hazel, an AI-native solution **which enables government procurement teams to quickly and easily manage their procurement processes**.\n\n![uploaded image](/media/?type=post&id=87095&key=user_uploads/1279709/df8d3560-f897-4131-b217-b9a76fc3525c)\n\nThe two of us met in college before taking separate jobs at Palantir and Boston Consulting Group, but our focus on public service remained the same, and we saw something that we knew had to be fixed. Along the way, we’ve picked up incredible mission-driven teammates with experience from Lockheed Martin, MITRE, SpaceX, Peraton, the U.S. Air Force, the U.S. Department of State, and USAID. \n\nWe began by building a solution for businesses to bid on RFPs because we wanted to help governments. The idea was that by bringing more businesses to the table, more competitive bids would both save governments money and deliver better performance. However, we soon realized that if our mission was to help government, we will best accomplish that by going directly B2G, not B2B2G. It means accepting the known challenges of selling to government as a startup (long sales cycles, a litany of compliance standards, nobody returns your emails, a new language of business, etc.), but nothing worthwhile - or fulfilling - comes easy.\n\n### 🏛**️ Problem** \n\nCivil servants in procurement are overwhelmed. \\~30% of procurement roles in government are unfilled as these employees retire or quit. Their current solutions are dated – one to two _decades_ behind the equivalent in B2B SaaS, gated behind sleepy incumbents leveraging political connections and litigation to stay on top. The lack of tools and talent means governments are more stretched than ever when it comes to buying the goods and services they need in a compliant and timely manner. This challenge is eating away at all levels of government, from local K-12 school districts to the Pentagon. As prices rise and the demands on governments grow, it becomes even more critical to strategically purchase the right tools for their success. Failure means degradation in service delivery, bad publicity, or even disaster. \n\nA maze of legal restrictions, understaffed departments, and growing complexity of requirements have made it near impossible to rapidly procure goods and services without defaulting to an existing incumbent. Governments would love to diversify their options or recompete… but choosing the default has shifted from a matter of convenience to an operational necessity. Over $2.7T is on the line for public procurement _annually._ \n\nThere has never been a more pressing – or opportune – time to address the procurement challenges taxing our government’s efficiency. Climate goals require rapidly procuring sustainable and efficient energy solutions nationwide. The new era of great power competition requires procuring novel weapon systems at scale to secure democracies in the Pacific and Eastern Europe. Our aging procurement systems are creaking under their weight and cannot unlock the potential of our nation.\n\n### 🔥 **Solution** \n\nHazel’s platform accelerates and automates the rote, time-intensive tasks of researching, generating and managing solicitations. Instead of trading documents over email and doing market research via cursory Google searches, civil servants should have a single streamlined platform that assists them in doing their jobs. \n\nHazel combines AI agents and a modern UI/UX to deliver a consumer-grade solution that surfaces critical information to human decision-makers, saving time and driving better outcomes. Hazel is the AI superpower for procurement teams short on staff and time but hungry for innovation and a way to do things better.\n\n![uploaded image](/media/?type=post&id=87095&key=user_uploads/1279709/ce5def23-288b-44fe-baa4-39c4fb09bcb8)\n\n_(Screenshot of the Hazel platform) Save legal-approved boilerplates, design content sections using our AI agents, and drag-and-drop them into templates. Compliant first-draft solicitations using the agency’s template in five minutes, not five months. Edit collaboratively in real-time and seamlessly export to Word when done. No copy-paste required._ \n\n### **🫡 Asks** \n\n* Do you have any contacts in government who navigate their agency’s internal procurement processes? If so, we’d love to connect with them! \n* Reach out to us at [august@hazelai.com](mailto:august@hazelai.com) and [elton@hazelai.com](mailto:elton@hazelai.com) with any other comments, questions. **We’re building AI for the public interest** 🇺🇸",
        "url": "https://www.ycombinator.com/launches/Mel-hazel-ai-procurement-software-for-government",
        "votes": 15,
        "created_at": "2025-01-23T17:01:17.012Z"
      },
      {
        "id": 77743,
        "title": "Hazel: AI-driven marketplace for government contracts",
        "tagline": "We’re using AI to enable SMBs to easily find and win public sector contract opportunities",
        "body": "### **📝 BLUF**\n\n[Hazel](https://hazeltech.ai/) applies AI to create an equitable and accessible marketplace for businesses to bid on government contracts. Contracts are separately issued by governments, and responses must meet long lists of criteria to be compliant and award-eligible, making them immensely hard and time-consuming to write. Hazel breaks down that moat.\n\nIf you or anyone you know wants to get matched to or respond to government RFPs, please [contact us](mailto:elton@hazeltech.ai?cc=august@hazeltech.ai)!\n\n### **🥷 About Us**\n\nWe’re [Elton](https://linkedin.com/in/eltonlossner) and [August](https://linkedin.com/in/augustschen), in SF for this YC W24 batch. We’re excited to announce Hazel, an AI-driven marketplace **that enables businesses to quickly respond to issued government RFPs in a compliant manner**.\n\n![uploaded image](/media/?type=post&id=77743&key=user_uploads/1667477/121ccfbb-5ac0-49ed-b528-7c5a63f0c1a6)\n\nThe two of us met in college before taking separate jobs at Palantir and Boston Consulting Group – but our focus on mission and serving the public interest remained the same, and we saw something that we knew had to be fixed.\n\n### **📄 Problem**\n\nThe government contracting process is broken. Contracts are separately posted on thousands of different websites and can include hundreds of pages of overlapping compliance regulations. Responding to bids can require entire business divisions supported by armies of consultants and in-house lawyers. Even the simplest of contracts – if you can find one that fits your business – require responses spanning dozens of pages, and the tiniest compliance error will jeopardize your entire submission.\n\nThe US has created a system where it is almost impossible for SMBs to win work with the government. As incumbents become even more entrenched, governments face increasing prices and deteriorating performance because they have allowed for no alternatives. With over $1T of infrastructure funding now on the line for award, the US cannot afford the status quo.\n\n### **🧠 Solution**\n\nUse AI to automate discovery, drafting, and compliance. Instead of spending days trawling local websites and weeks writing fruitless proposals, you should only spend minutes defining your scope of work and price.\n\nUse Hazel to get matched to a potential contract, synthesize a draft response based on the RFP and your company information, create a checklist of to-dos, and run compliance checks. No more scrambling to register your company the day before submission. No more losing a bid because you missed a cybersecurity requirement listed on page 13 of Appendix G.\n\n![uploaded image](/media/?type=post&id=77743&key=user_uploads/1667477/88962715-f3d7-4dfb-97b6-deb758c92062)\n\n_{Choose which sections to include in your response, view a timeline of the next steps for the process, and use GenAI to craft your answer based on existing company documentation.}_\n\n### **📈 Asks**\n\n* Reach out! We’re excited to help users win new bids with US government agencies, particularly at the state and local level\n* Spread the word! We’ve heard from countless people how frustrating government RFP processes are. If you have any contacts involved in government RFP writing or solicitation, we’d love to connect with them\n\nReach out to us at [august@hazeltech.ai](mailto:august@hazeltech.ai) and [elton@hazeltech.ai](mailto:elton@hazeltech.ai) with the above or any other comments and questions. **Let’s bring more winners to government contracting.**",
        "url": "https://www.ycombinator.com/launches/KDv-hazel-ai-driven-marketplace-for-government-contracts",
        "votes": 46,
        "created_at": "2024-01-22T22:48:05.413Z"
      }
    ]
  },
  {
    "id": 29386,
    "name": "Andy AI",
    "slug": "andy-ai",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a9de74b7308c61d7e8f1bdea5348c7c96f22a7f7.png",
    "website": "https://with-andy.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Andy is AI software that completes documentation for nurses doing home visits. Our software saves $8B a year; Tiantian was previously a PM at Google’s healthcare business and Max was a staff engineer on the health team at Apple. \r\n\r\nAndy benefits nurses and the agencies that employ them. Agencies that use Andy see up to 45% more detailed charts, 2x greater nurse productivity, and timely submission (no more billing delays!) With Andy, clinicians get their evenings back. \r\n\r\nHome health is the fastest growing segment of healthcare, doubling to $251B by 2031. Combined with recent nursing shortages and burnout, we’re seeing not just urgency, but excitement and joy, around adopting AI for home health. ",
    "one_liner": "Faster clinical documentation for home health nurses",
    "team_size": 5,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Healthcare IT",
    "launched_at": 1707354939,
    "tags": [
      "SaaS",
      "Health Tech",
      "B2B",
      "Healthcare",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
      "Healthcare",
      "Healthcare IT"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/andy-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/andy-ai.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "http://linkedin.com/company/with-andy",
    "x_url": "",
    "fb_url": "https://www.facebook.com/people/Andy-AI/61556463293700/",
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a9de74b7308c61d7e8f1bdea5348c7c96f22a7f7.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
    },
    "founders": [
      {
        "user_id": 932678,
        "full_name": "Tiantian Zha",
        "title": "Founder/CEO",
        "founder_bio": "Tiantian is the CEO and co-founder of Andy AI. Princeton CS >> Google APM >> Verily (Google Life Sciences). She was the first PM on Debug, an AI and robotics moonshot to eliminate Dengue fever, which affects up to 400M people each year. The product is commercially launched and achieves up to 80% reduction in disease.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/tiantianzha",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4812a4ba7ec2ac587bfba073915db5bdef1fb497.jpg"
      }
    ],
    "jobs": [
      {
        "id": 71798,
        "title": "Founding Engineer - Healthcare AI",
        "url": "https://www.ycombinator.com/companies/andy-ai/jobs/lrsiSTP-founding-engineer-healthcare-ai",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$120K - $200K",
        "equity_range": "0.50% - 3.00%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 72360,
        "title": "Founding Engineer - Full Stack",
        "url": "https://www.ycombinator.com/companies/andy-ai/jobs/TXZ6eTG-founding-engineer-full-stack",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$120K - $200K",
        "equity_range": "0.50% - 3.00%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 78586,
        "title": "🧑‍⚕️ Andy AI - Faster clinical documentation for home health nurses",
        "tagline": "Agencies see timely & accurate documentation and happier nurses.",
        "body": "Hi everyone, we’re [Tiantian](https://linkedin.com/in/tiantianzha) and [Max](https://linkedin.com/in/akhterov), the founders of [Andy](https://with-andy.com).\n\n**Andy completes clinical documentation for nurses doing home health visits**.\n\n### **What is home health?**\n\nSkilled nursing in the home is a booming business, on track to double to $250B in by 2031. Better outcomes, lower costs, and aligned with patient preferences: it’s no surprise large insurers are scooping up home health providers.\n\n![uploaded image](/media/?type=post&id=78586&key=user_uploads/932678/56616808-3fe2-4b7d-8bdb-b670e0ed70e2)\n\n### **The problem: too much charting**\n\nOn the ground, however, we’re seeing widespread burnout among nurses. The worst part of the job is documentation, which can take 90 minutes for a single patient and costs agencies $8B per year. Agencies that employ these nurses struggle to submit _high-quality_ documentation in a _timely_ manner, which is hurting their top line.\n\n### **The solution: an AI scribe**\n\nAndy is an AI-powered ambient scribe designed specifically for home health nurses. Nurses record their visits using their Andy app and receive a chart completed by Andy straight into their EHR. With Andy, the 90-minute documentation process is now a 15-minute review.\n\n### **Meet Team Andy**\n\nWe’re a healthcare & AI team focused on pressing public health challenges. America’s rapidly aging population needs home health. We’re building tools to restore joy & connection to the profession.\n\n![uploaded image](/media/?type=post&id=78586&key=user_uploads/932678/325091cd-9334-41c7-a3c0-551987559a77)\n\n* [**Tiantian Zha**](https://linkedin.com/in/tiantianzha) previously led an AI and robotics project at Google Life Sciences to eliminate mosquito-borne diseases, a public health challenge affecting 400M people each year.\n* [**Max Akhterov**](https://linkedin.com/in/akhterov) previously built health AI algorithms for the Apple Watch, including the passive detection of atrial fibrillation which is running on 50M devices.\n\n### **How you can help**\n\nDo you know any home health operators? Please share [Andy](https://with-andy.com) to help them get accurate documentation done on time!",
        "url": "https://www.ycombinator.com/launches/KRW-andy-ai-faster-clinical-documentation-for-home-health-nurses",
        "votes": 53,
        "created_at": "2024-02-21T03:19:30.366Z"
      }
    ]
  },
  {
    "id": 29390,
    "name": "OffDeal",
    "slug": "offdeal",
    "former_names": [
      "Sidekick Labs"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/23d3f5ab2e3955f14083478510c8a7ab18cb9f8f.png",
    "website": "https://offdeal.io",
    "all_locations": "New York City, NY, USA",
    "long_description": "OffDeal is an AI-native investment bank, offering small business owners a faster, cheaper way to sell their companies at premium prices. Our AI technology automates most of the grunt work typically done by analysts at larger Wall Street banks, enabling our in-house M&A advisors to focus more on strategic client interactions, leading to better outcomes for both sellers and buyers.",
    "one_liner": "AI-native investment bank for small businesses",
    "team_size": 25,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1709626394,
    "tags": [
      "Fintech",
      "B2B",
      "SMB",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Growth",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/offdeal",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/offdeal.json",
    "year_founded": 2023,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/offdeal/",
    "x_url": "https://twitter.com/tryoffdeal",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/23d3f5ab2e3955f14083478510c8a7ab18cb9f8f.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
    },
    "founders": [
      {
        "user_id": 1297689,
        "full_name": "Ori Eldarov",
        "title": "Founder/CEO",
        "founder_bio": "Founder / CEO @ OffDeal \n\nbuilding an AI-native investment bank for buying and selling small businesses. \nprev. mba @ harvard + couple of startup stints. \nlover of carbs and espresso martinis. avid runner and cyclist. ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/eldarov",
        "x_url": "https://twitter.com/leveredvlad",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1390b2e045e15cf7d2fe8b69181bc657c34ffe19.jpg"
      },
      {
        "user_id": 1553916,
        "full_name": "Alston Lin",
        "title": "Founder/CTO",
        "founder_bio": "Founder / CTO @ OffDeal.\n\nPreviously, \nFounder / CTO @ Bizwise, \nSWE / SWE Intern @ Meta, Google, Yelp, PagerDuty, IBM, and Encircle. \nSoftware Engineering @ University of Waterloo.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/alstonlin",
        "x_url": "https://x.com/alstonthelin",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2b3963f281dfb2544459d8ef63aa668b52d0ea61.jpg"
      }
    ],
    "jobs": [
      {
        "id": 80117,
        "title": "Full Stack Engineer",
        "url": "https://www.ycombinator.com/companies/offdeal/jobs/B8lTBlY-full-stack-engineer",
        "location": "New York",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$180K - $230K",
        "equity_range": "0.10% - 0.50%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 80744,
        "title": "Full Stack Engineer (New Grad)",
        "url": "https://www.ycombinator.com/companies/offdeal/jobs/c2sQf8D-full-stack-engineer-new-grad",
        "location": "New York",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$140K - $180K",
        "equity_range": "0.10% - 0.30%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": [
          "Node.js",
          "React",
          "TypeScript"
        ]
      }
    ],
    "news": [
      {
        "title": "These AI-Native Companies Have Tiny Staffs and Fewer Bosses",
        "url": "https://www.wsj.com/tech/ai/ai-companies-staffing-c9029343",
        "date": "Jul 18, 2026"
      },
      {
        "title": "I Took a Calculated Risk and Left JPMorgan for an AI Investment Bank - Business Insider",
        "url": "https://www.businessinsider.com/left-jp-morgan-analyst-join-ai-investment-bank-startup-advice-2025-10",
        "date": "Oct 11, 2025"
      },
      {
        "title": "Wall Street's new AI era: OffDeal CEO on using AI to disrupt investment banking",
        "url": "https://www.cnbc.com/video/2025/08/04/wall-streets-new-ai-era-offdeal-ceo-on-using-ai-to-disrupt-investment-banking.html",
        "date": "Aug 04, 2025"
      },
      {
        "title": "OffDeal Pioneers AI-Native Investment Banking for the Middle Market",
        "url": "https://www.startuphub.ai/ai-news/ai-video/2025/offdeal-pioneers-ai-native-investment-banking-for-the-middle-market/",
        "date": "Aug 04, 2025"
      },
      {
        "title": "How OffDeal’s Viral ‘$12M Series A’ Broke Wall Street’s Brains",
        "url": "https://www.sourcery.vc/p/how-offdeals-viral-12m-series-a-broke",
        "date": "Aug 03, 2025"
      }
    ],
    "launches": [
      {
        "id": 79184,
        "title": "OffDeal -  AI broker for buying small businesses",
        "tagline": "Custom-built AI agents to find, vet, and engage SMB acquisition targets",
        "body": "Howdy folks 👋🏻 We’re [Ori](https://www.linkedin.com/in/eldarov/) and [Alston](https://www.linkedin.com/in/alstonlin/) from [OffDeal](http://www.offdeal.io) and we’re building an AI broker that helps individual buyers find and acquire small businesses. \n\n# tl;dr\n\nFinding the right small business to acquire is painfully manual and tedious - an average buyer takes almost two years to buy one! 🫨\n\nOffDeal puts SMB deal sourcing on autopilot. Our AI broker\n\n* Screens through millions of SMBs using semantic search on dozens of data points to identify potential targets \n* Automatically researches each one to ensure criteria match using custom AI web agents\n* Crafts and sends hyper-personalized emails to maximize response rate\n\nSince launching our closed beta two weeks ago, we have about a dozen buyers using OffDeal to source $10-50 million SMB acquisitions.\n\n# **❌ Problem: Buying a small business takes 18-24 months**\n\nThe current process of finding a small business to buy is painstakingly slow and tedious. Today, buyers rely on a combination of expensive SMB databases (e.g. Grata, Sourcescrub) and manual research, often involving a makeshift \"deal team\" of unpaid interns and offshore assistants. \n\nThis cobbled-together system creates a major bottleneck, typically allowing buyers to only assess 100-150 businesses per week (and that's considered good!). Since buyers usually need to go through \\~10,000 businesses before finding “the one”, the entire process becomes incredibly time-consuming, frustrating, and expensive.\n\n## **✨ Our Solution: AI Broker to find, diligence, and engage 10x more SMB targets**\n\nOur AI broker acts much like a human M&A advisor would - it finds targets, diligences them, and then reaches out to them on your behalf. However, unlike a human, our AI broker is powered by proprietary recommendation engines and custom-built AI agents and can do this for thousands of companies at a time 👀\n\nHere is how it works:\n\n**Step 1.** 🔎**Preliminary target list** \n\nOur AI screens through millions of SMBs on dozens of data points using LLM-powered semantic search to uncover off-market hidden gems that match your exact acquisition criteria.\n\n![uploaded image](/media/?type=post&id=79184&key=user_uploads/1297689/3137a403-b062-4ac1-a4ac-d6f626df2c51)\n\n**Step 2. 🧠 Offload tedious research**\n\nOur web-enabled AI agents conduct automated diligence, vetting thousands of companies to deliver a precision-targeted shortlist in minutes, not days.\n\n![uploaded image](/media/?type=post&id=79184&key=user_uploads/1297689/b2aae969-b311-4a27-80f3-1be6afde6f4b)\n\n**Step 3.⚡Automate personalized outreach**\n\nOur AI uses dozens of data points to craft and send hundreds of hyper-personalized messages each week, helping you stand out from other buyers and fill your calendar with owner calls.\n\n![uploaded image](/media/?type=post&id=79184&key=user_uploads/1297689/e224acfd-e6f7-459c-b4f3-81b2933cbb57)\n\n# **Our first customers**\n\nTo start we’re focusing on “search funds”. These are individuals (typically MBAs from top programs) who raise money from institutional investors to acquire a small business.\n\nThis is an ideal first customer because: \n\n1. They only have 2 years to find a business (or have to return capital)\n2. 30% of searchers fail to find a deal within that timeframe\n3. They are happy to pay finder fees for successful introductions\n4. Ori personally knows dozens of them from his time at HBS and working in finance, making for a much easier GTM 🙂\n\nBeyond search funds, we plan to expand to private equity firms, which buy thousands of SMBs each year, as well as to a rapidly growing number of individuals choosing to leave the rat race and pursue acquisition entrepreneurship.\n\n# \n\n# 🤝🏻**Team**\n\n[Ori Eldarov](https://www.linkedin.com/in/eldarov/) (CEO) first came across this problem in 2019 - when he attempted (unsuccessfully) to acquire a business. A couple of years later, he saw dozens of his classmates at HBS go through the same struggles. \n\n[Alston Lin](https://www.linkedin.com/in/alstonlin/) (CTO) also struggled to find the right SMBs in the previous startup he founded - using existing tools that relied on broad industry buckets resulted in most outreach going to irrelevant businesses. However, with his experience working with big data and ranking engines at Facebook and Google, he knew he could build a better solution.\n\n![uploaded image](/media/?type=post&id=79184&key=user_uploads/1297689/e260dfb2-5b95-467d-8d5d-e61094feec02)\n\n# **The Ask**\n\nIf you or anyone you know is looking to acquire a small business ($10-50M) please introduce us! We can be reached at [founders@offdeal.io](mailto:founders@offdeal.io) or this [form](https://docs.google.com/forms/d/e/1FAIpQLScyDLNDz41cP1l404c8ESodrN0lCDM7_HgfOBS2BC2x5F64EA/viewform). \n\nThese can be any of the following: \n\n* Individual buyers / “search funds” \n* Lower middle market PE firms \n* Companies looking to make an add-on acquisition\n\n \n\n**Thanks everyone for your support 🙂**",
        "url": "https://www.ycombinator.com/launches/KbA-offdeal-ai-broker-for-buying-small-businesses",
        "votes": 103,
        "created_at": "2024-03-07T21:50:22.985Z"
      }
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    "id": 29394,
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        "full_name": "Oliver Silverstein",
        "title": "Founder",
        "founder_bio": "Co-founder, CEO at OpenCall. Previously streamlined ARM's chip design processes with cloud technology and built an AI to track student outcomes for Northeastern\n",
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        "founder_bio": "My name is Eric and I'm a co-founder of OpenCall.ai.\nPrior to OpenCall, I was a software engineer at LinkedIn, working to improve job posting  quality and communications.\nI'm originally from New York and received a BS/M.Eng in CS from Cornell University.",
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        "full_name": "Arthur Silverstein",
        "title": "Founder",
        "founder_bio": "Co-founder at Opencall.ai; previously at Verily, Argo AI, and Meta. Passionate about music, design, and eliminating tedious work.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/arthur-silverstein/",
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        "id": 82891,
        "title": "AI Prompt & Agent Developer",
        "url": "https://www.ycombinator.com/companies/opencall/jobs/P7Gr3zT-ai-prompt-agent-developer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$90K - $145K",
        "equity_range": "0.10% - 0.30%",
        "experience": "1+ years",
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        "id": 79222,
        "title": "OpenCall.ai 📲 AI call centers for any business",
        "tagline": "We give any business a skilled, affordable call center.",
        "body": "**Tl;dr:**\n\nTurn missed calls into customers. Even million-dollar call centers lose 10-30% of revenue to abandonment. [Opencall](https://opencall.ai/) captures this revenue – while cutting costs 50-80% – by answering every call with AIs. See our [demo](https://www.youtube.com/watch?v=2nI7yFp7iwc) or call +1 (334) 218-5183 to try out a more in-depth demo.\n\n### The problem: Handling phone calls is hard\n\nWhen customers call a business they expect fast, personalized service. Unfortunately for businesses, that’s prohibitively expensive to provide. Instead, hairdressers, mechanics, and receptionists have to spend their mornings listening to voicemail, and then juggle phone calls while working with clients. Meanwhile, larger businesses spend millions on call centers which overcharge for poor customer experience. \n\nDespite the headache and expense, they still end up losing revenue from missing calls!\n\n### **Our solution:** Custom AI receptionists\n\nOpencall creates AI to let businesses answer the phone automatically. Our AIs answer questions, book appointments, and integrate with existing software.\n\n* **Easy to use.** Businesses can integrate Opencall in less than an hour, with no code or flowcharts required\n* **Highly customizable.** Opencall can adapt to almost any phone workflow\n* **Secure**. Opencall is HIPAA compliant and never sends data to third parties (even OpenAI)\n\n### How it works:\n\nWe’ve generated thousands of workflows based on real-world human tasks. From healthcare to finance to retail support, we trained our proprietary model to faithfully follow complex workflows and be able to identify precise moments within conversations to trigger API calls. This capability allows it to access and modify data in real time to complete entire jobs end-to-end.\n\n### Asks:\n\nPlease connect us with your doctors, hairdressers, health clubs, or any other business owners who could benefit from our service!\n\nCall our demo agents and give us feedback:\\\nMedical Receptionist - (334) 218-5183\n\nResearch Assistant - (347) 686-8193\n\nTherapist - (240) 410-1238\n\nSign up {[here](https://app.opencall.ai/api/auth/signup)} and let us customize an agent for your needs!\n\n![uploaded image](/media/?type=post&id=79222&key=user_uploads/1341152/aa722cf5-4d2f-42f7-9b4d-e9d89fc246bb)\n\nThanks for reading! (From left to right: [Nicholas](https://www.linkedin.com/in/nicholas-lee-93779a173/), [Oliver](https://www.linkedin.com/in/oliver-silverstein-42949515b/), [Arthur](https://www.linkedin.com/in/arthur-silverstein/), [Eric](https://www.linkedin.com/in/eric-mei/))",
        "url": "https://www.ycombinator.com/launches/Kbm-opencall-ai-ai-call-centers-for-any-business",
        "votes": 136,
        "created_at": "2024-03-08T20:51:02.466Z"
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    "all_locations": "New York City, NY, USA",
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    "one_liner": "ProSights is a data / AI transformation partner to PE-backed portcos.",
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    "launched_at": 1711348390,
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    "app_answers": null,
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        "full_name": "Justin Wu",
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        "tagline": "Re-imagining how investors work",
        "body": "[_ProSights_](https://www.prosights.co) is building the first AI-native workflow automation platform for investment firms.",
        "url": "https://www.ycombinator.com/launches/Kl4-prosights-ai-native-workflow-automation-platform-for-financial-institutions",
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        "full_name": "Zubin Koticha",
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        "linkedin_url": "https://linkedin.com/in/zkoticha",
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        "title": "Founder",
        "founder_bio": "building raindrop (sentry for ai products)\n\nI was previously on the Human Interface team at Apple for 4 years, building out visionOS. \n\nbefore that, dabbled with robotics + avionics",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/benhylak",
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        "url": "https://www.ycombinator.com/companies/raindrop/jobs/3rxDvcR-product-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $250K",
        "equity_range": "0.10% - 1.50%",
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        "visa": "US citizen/visa only",
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        "id": 86079,
        "title": "Backend Engineer",
        "url": "https://www.ycombinator.com/companies/raindrop/jobs/ogWQ7fP-backend-engineer",
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        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$150K - $250K",
        "equity_range": "0.10% - 1.50%",
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        "url": "https://www.ycombinator.com/companies/raindrop/jobs/XJQYwdR-ml-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$150K - $250K",
        "equity_range": "0.10% - 1.50%",
        "experience": "3+ years",
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        "location": "San Francisco, CA, US",
        "type": "Full-time",
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        "role_type": "Full stack",
        "salary_range": "$150K - $250K",
        "equity_range": "0.10% - 1.50%",
        "experience": "3+ years",
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        "title": "Founding Recruiter",
        "url": "https://www.ycombinator.com/companies/raindrop/jobs/EA7fuNw-founding-recruiter",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Recruiting & HR",
        "role_type": "Recruiter",
        "salary_range": "$150K - $200K",
        "equity_range": "0.10% - 0.50%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
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        "id": 97728,
        "title": "Forward Deployed Engineer (FDE)",
        "url": "https://www.ycombinator.com/companies/raindrop/jobs/jYbAqIG-forward-deployed-engineer-fde",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Devops",
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        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$120K - $140K",
        "equity_range": "0.08% - 0.22%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 103341,
        "title": "Sales Development Representative",
        "url": "https://www.ycombinator.com/companies/raindrop/jobs/7vLpHZX-sales-development-representative",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$70K - $110K",
        "equity_range": "0.05% - 0.15%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
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    ],
    "news": [
      {
        "title": "Building the Safety Layer for AI Agents",
        "url": "https://www.youtube.com/watch?v=5XO7ZEOGpJc",
        "date": "Sep 17, 2026"
      },
      {
        "title": "Raindrop raises $35M to monitor agents",
        "url": "https://www.axios.com/pro/enterprise-software-deals/2026/09/16/raindrop-crv-lightspeed-datadog",
        "date": "Sep 16, 2026"
      },
      {
        "title": "Want to Know Why Your AI Agent Failed? There’s AI for That.",
        "url": "https://www.wsj.com/articles/want-to-know-why-your-ai-agent-failed-theres-ai-for-that-97a680be?gaa_at=eafs&gaa_n=AWEtsqdVmkMV2k7Sr_6KuR-BriI6nYI0WCuGV3kEnBFT-4QtLWIlapfZirpiHmgMeZ0%3D&gaa_ts=692e0171&gaa_sig=Xz1Zn2-He_brIjMQ9KK2JJUefbMrCjyW_AxqdIaMiylie5nJ5y12wKpTKjezNNlZrwKLcfsPZqocvU0KWcOtZw%3D%3D",
        "date": "Dec 01, 2025"
      }
    ],
    "launches": [
      {
        "id": 91457,
        "title": "Raindrop Deep Search",
        "tagline": "Deep Research for your Production AI Data",
        "body": "https://www.youtube.com/watch?v=pN82WxN-_G0\n\nToday, we're excited to launch Raindrop Deep Search\n\nIt’s like Deep Research for your Production AI Data\n\nSearch for anything, and Raindrop automatically trains little models to accurately classify any topic or issue, across millions of events.\n\n𝗧𝗵𝗲 𝗣𝗿𝗼𝗯𝗹𝗲𝗺\n\nWe’ve heard from thousands of AI engineers and they’re struggling to track issues with their agents.\n\nImagine a user reports a problem: your agent is saying it can’t search the web for documentation. You need to know if this is a one-off problem or a much bigger issue… but how? Keyword search, or even semantic search, doesn’t tell the full story.\n\n𝗖𝗮𝗻’𝘁 𝘄𝗲 𝗷𝘂𝘀𝘁 𝘂𝘀𝗲 𝗧𝗿𝗮𝗱𝗶𝘁𝗶𝗼𝗻𝗮𝗹 𝗘𝘃𝗮𝗹𝘀?\n\nOffline evals work well as unit tests. But since they’re running on preset data, you have no visibility into what’s actually happening in production.\n\nOnline evals just run these unit tests on a tiny sample of production data, leaving you blind to how widespread problems are.\n\n𝗜𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝗶𝗻𝗴 𝗥𝗮𝗶𝗻𝗱𝗿𝗼𝗽 𝗗𝗲𝗲𝗽 𝗦𝗲𝗮𝗿𝗰𝗵\n\nThat’s why we built Deep Search. It’s like Deep Research for your production data.\n\nHow Deep Search works:\n\n1\\. Describe the issue (eg. agent failing to search the web)\n\n2\\. Deep Search finds examples out of millions of events\n\n3\\. Refine search with feedback\n\n4\\. Start tracking the issue\n\nDeep Search runs across all of your production data to give you an accurate metric of issue frequency.\n\nTraditional classification systems require humans to manually label thousands of data points. So to achieve this, Raindrop Deep Search introduces a new research breakthrough, bespoke few-shot classifiers, which only need a few examples.\n\nIt’s essentially bootstrapping weaker systems from stronger systems, ultimately training custom small models that analyze millions of events a day. You can think of it like creating materialized views for natural language.\n\nOnce you start tracking the issue you can use Raindrop to dive into traces and tool calls to find the root cause. And you can quickly confirm whether your fixes are effective by monitoring issue frequency and receiving real-time Slack alerts.\n\nYou can try out Deep Search at [raindrop.ai](http://raindrop.ai). \n\nWe’re excited to hear what you think!\n\n![uploaded image](/media/?type=post&id=91457&key=user_uploads/309605/b1eda0eb-8816-487f-a4f3-36bdaf02bb0b)\n\n",
        "url": "https://www.ycombinator.com/launches/Nn7-raindrop-deep-search",
        "votes": 10,
        "created_at": "2025-06-19T21:08:03.825Z"
      },
      {
        "id": 89925,
        "title": "Raindrop - Sentry for AI Products",
        "tagline": " AI engineers use Raindrop to get alerts about hidden issues and wins in their AI products.",
        "body": "[https://youtu.be/IS7akU_3AnI](https://youtu.be/IS7akU_3AnI?feature=shared)\n\nAl products fail constantly—in ways both hilarious and terrifying.\n\nMeet **Raindrop**: the first Sentry-like monitoring platform for Al products.\n\n**The Problem**\n\nRegular software throws exceptions. But Al products fail silently.\n\nThese issues can be serious:\n\n* [Figma had to roll back their AI design product when it copied Apple’s designs, and they haven’t relaunched since](https://techcrunch.com/2024/07/02/figma-disables-its-ai-design-feature-that-appeared-to-be-ripping-off-apples-weather-app/?guccounter=1&guce_referrer=aHR0cHM6Ly93d3cuZ29vZ2xlLmNvbS8&guce_referrer_sig=AQAAAM5aRTBjXhPXfaoMBpoQxL9si-7R3qfaTR4r-n_mdzKu31uB6rUYGjE31z0H4aHVY1LlchyZ7r76Pufga45IMGKwFz0IxZ7eo-g2z1sYsta94AVsSj5CYjf6NKRd3m43VgSGLrG_IfdqMKtlFDuBvimRfLyF_aqb19vPgl-8B7eD)\n* [Air Canada got sued — and lost — when their chatbot incorrectly offered a customer a refund](https://www.forbes.com/sites/marisagarcia/2024/02/19/what-air-canada-lost-in-remarkable-lying-ai-chatbot-case/)\n* [Virgin Money came under fire when their chatbot scolded customers for using the company name, ‘Virgin’](https://www.latintimes.com/virgin-money-forced-apologize-after-chatbot-threatens-cut-off-bank-customers-who-use-word-573885#:\\~:text=Fintech%20commentator%20David%20Birch%20shared,reported%20by%20the%20Financial%20Times)\n\nDon’t make the same mistake.\n\nThe current status quo is sifting through millions of logs and trying debug flaky evals. Evals are straightforward - like unit tests, they confirm your model got specific test cases right. But in the real world AI chatbots and agents encounter millions of unpredictable actions. AI companies need powerful monitoring to discover production issues so they can create reliable AI products that don’t just pass tests, but genuinely resonate with users.\n\n**Solution**\n\nRaindrop sends you alerts when your AI misbehaves and links straight to the events, so you can dig into the conversations or traces, understand the root cause, and fix it, fast.\n\nDaily Alerts Include\n\n* **Issues**: detects issues like Assistant Forgetting, Laziness, Task Failure, User Frustration, and more depending on the type of app\n* **Wins**: surfaces what your product does well, so you can double down on those experiences and create evals\n\nThe Pro tier lets you go even further with:\n\n* **Custom Issues / Topics**: define and track any issue or topic\n* **Topic Clustering**: clusters data in real time to find your AI product’s most popular use cases, and what use cases have the most issues\n* **Signals**: finds patterns in explicit signals like thumbs up / thumbs down\n* **Deep Research:** deep research for your production data, letting you use natural language to search for any kind of behavior\n* **Traces**: track every step of your AI call\n* **Edge PII Redaction**: intelligently strip PII from any user and model messages\n* **Dataset Creation**: create custom datasets out of any set of events\n\nCompanies like [Clay.com](http://Clay.com), Tolans, Websim, and more have been using Raindrop to improve their AI products. They’ve been able to quickly iterate on fixes, see how issue incidence rates decrease in production, and confidently ship changes.\n\n“Raindrop has been invaluable as we've been growing quickly. It's critical for us to keep issue incidence below an acceptable threshold and become aware of any spikes. **It's like if we see an iOS crash report in Sentry, but for our AI capabilities.”** -Evan Goldschmidt, CTO Tolans\n\nLearn more about how Tolan uses Dawn [here](https://www.raindrop.ai/case-studies/tolans), and check out case studies with [New Computer](https://www.raindrop.ai/case-studies/new-computer) and [Unstuck AI](https://www.raindrop.ai/case-studies/unstuck).\n\nYou can get started [here](https://www.raindrop.ai), excited to hear what you think :)\n\n![uploaded image](/media/?type=post&id=89925&key=user_uploads/309605/d77c5ea9-2b73-4455-96a6-db02c319651c)\n\n",
        "url": "https://www.ycombinator.com/launches/NOP-raindrop-sentry-for-ai-products",
        "votes": 11,
        "created_at": "2025-04-28T20:25:57.382Z"
      },
      {
        "id": 79667,
        "title": "Dawn - Analytics for AI products",
        "tagline": "We transform user requests and model outputs into metrics you actually care about.",
        "body": "Hey everyone!\\\n\\\nI’m [Zubin](https://twitter.com/snarkyzk), from dawn. Excited to share what we’ve (me, [Ben](https://twitter.com/benhylak), & [Alexis](https://twitter.com/alexisgauba)) been building.\n\n[Dawn](https://www.dawnai.com/) is analytics for AI products. We transform user inputs and model outputs into metrics you care about, letting you make meaning out of billions of tokens.\n\n**AI Companies love us for**\n\n* User Segmentation: automatically group users by behavior\n* Understanding Churn: see how requests (or responses) cause users to churn\n* Categorizing Search Requests: tag user requests + use categories in-app\n* Content Moderation: identify + remove harmful content\n* Flagging Bad Responses: track user requests that are vague, don’t match the source language, or anything else\n* Track any use case: discover categories from unstructured data\n\n_(It's not just for Al companies. Dawn can categorize just about anything! — _[_contact us_](https://wv6y9hc66q4.typeform.com/to/qHmrVeA3)_ to chat)_\n\n**How it Works**\n\n1. **3 lines to integrate:** with one line of code, you can start sending user data from your app to dawn (and even get back categorizations!)\n2. **Define categories:** Dawn automatically discovers categories from your raw data. You can also define your own. You can delete, edit, reorganize, and create new categories at any time.\n3. **Self-improving, on the fly:** Dawn constantly gets better at understanding your data.  A simple feedback interface gives your team visibility and control over categorization.\n4. **Connects to your existing analytics:** we have plugins for Snowflake, Mixpanel, Slack, Amplitude, and more -- so you can track whatever you want, wherever you want.\n\n\\*\\*What early users say about us:\\*\\*\\\n“I’m feeling a total a-ha moment with this. Truly cool to see.” - Gabriel Birnbaum, Can of Soup\\\n\\\n**Let’s work together**\\\nReach out at [zk@dawnai.com](mailto:zk@dawnai.com), or sign up for a demo [here](https://wv6y9hc66q4.typeform.com/to/qHmrVeA3). We’d love to hear from you!\n\n![uploaded image](/media/?type=post&id=79667&key=user_uploads/1668573/86bc4a34-fc8f-469a-9d07-de695eb11bc3)\n\n",
        "url": "https://www.ycombinator.com/launches/Kix-dawn-analytics-for-ai-products",
        "votes": 21,
        "created_at": "2024-03-25T15:28:55.097Z"
      }
    ]
  },
  {
    "id": 29402,
    "name": "Yondu",
    "slug": "yondu",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0b7969c1cf6999d5b5333e8a0fd7ca63e13f079f.png",
    "website": "https://yondu.ai/",
    "all_locations": "Los Angeles, CA, USA",
    "long_description": "Yondu is creating the robotic workforce of the future starting with logistics automation. We're deploying humanoid robots in the first flexible, drop-in picking automation solution designed for 3PLs.",
    "one_liner": "Robots to Automate Fulfillment",
    "team_size": 7,
    "industry": "Industrials",
    "subindustry": "Industrials -> Manufacturing and Robotics",
    "launched_at": 1709280983,
    "tags": [
      "Hard Tech",
      "Robotics",
      "Logistics",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
      "Industrials",
      "Manufacturing and Robotics"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/yondu",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/yondu.json",
    "year_founded": 2024,
    "city": "Los Angeles",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/yonduai/",
    "x_url": "https://twitter.com/yonduai",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0b7969c1cf6999d5b5333e8a0fd7ca63e13f079f.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [
      "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/a96f5a9a53d9ee9d1ca8ef51cb6f294eab9b6ad6.png"
    ],
    "primary_partner": {
      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
    },
    "founders": [
      {
        "user_id": 782277,
        "full_name": "Michael Chen",
        "title": "Founder/CEO",
        "founder_bio": "Michael Chen is at a unique crossroads with a background in intelligent machines from MIT and research experience at the forefront of robotics and AI. He helped build an open source bipedal robot at MIT CSAIL. Michael is an avid entrepreneur who has always loved business (even owning a sauce brand). For fun, he builds all sorts of cool machines ranging from FPV drones to train track cleaning robots to gasoline powered snowboards. ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/michael-chen-17464a1b1",
        "x_url": "https://twitter.com/chenouttaten",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/16760bb043b9bd6619773df1464be0a224e3f300.jpg"
      },
      {
        "user_id": 1547615,
        "full_name": "Tahmid Jamal",
        "title": "Founder/CTO",
        "founder_bio": "Tahmid graduated from MIT with degrees in AI and AeroAstro. There he's worked on projects ranging from language model compression and quantization to astrodynamics simulations for a solar research proposal to NASA. He was doing his master's researching uncertainty estimation methods in deep learning before dropping out to participate in YC. In his free time, he enjoys movies, board games, and climbing the occasional tree.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/74hm1d",
        "x_url": "https://twitter.com/74hm1d",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/dc90be30b2779e01b76edb62c535d5bb13944890.jpg"
      }
    ],
    "jobs": [
      {
        "id": 71111,
        "title": "Active Interest for Engineers",
        "url": "https://www.ycombinator.com/companies/yondu/jobs/DEor4se-active-interest-for-engineers",
        "location": "Gardena, CA, US / Los Angeles, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Robotics",
        "salary_range": "$120K - $200K",
        "equity_range": "0.50% - 1.60%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
          "Bash/Shell",
          "C++",
          "Torch/PyTorch",
          "Linux",
          "Deep Learning",
          "Reinforcement learning (RL)",
          "Docker",
          "Computer Vision",
          "Microcontrollers",
          "CAD Design",
          "PCB design",
          "Sensor integration"
        ]
      },
      {
        "id": 74730,
        "title": "Robotics Researcher",
        "url": "https://www.ycombinator.com/companies/yondu/jobs/QAKnidR-robotics-researcher",
        "location": "Gardena, CA, US / Los Angeles, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Robotics",
        "salary_range": "$120K - $200K",
        "equity_range": "0.50% - 1.60%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 87004,
        "title": "Senior Robotics Engineer",
        "url": "https://www.ycombinator.com/companies/yondu/jobs/l6z04IP-senior-robotics-engineer",
        "location": "Gardena, CA, US / Los Angeles, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Robotics",
        "salary_range": "$120K - $200K",
        "equity_range": "0.50% - 1.60%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Bash/Shell",
          "C++",
          "Python",
          "Linux",
          "Docker",
          "Sensor integration"
        ]
      },
      {
        "id": 107166,
        "title": "Robot SWE",
        "url": "https://www.ycombinator.com/companies/yondu/jobs/fOsMYvM-robot-swe",
        "location": "Gardena, CA, US / Los Angeles, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Robotics",
        "salary_range": "$100K - $200K",
        "equity_range": "0.20% - 1.20%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
          "Bash/Shell",
          "C++",
          "Python",
          "Linux",
          "Docker"
        ]
      },
      {
        "id": 113732,
        "title": "Robotics Hardware Engineer ",
        "url": "https://www.ycombinator.com/companies/yondu/jobs/Y0Ek2e8-robotics-hardware-engineer",
        "location": "Los Angeles, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Hardware",
        "salary_range": "$100K - $200K",
        "equity_range": "0.10% - 1.00%",
        "experience": "1+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 114065,
        "title": "Physical AI Infrastructure Engineer",
        "url": "https://www.ycombinator.com/companies/yondu/jobs/dLJNfs8-physical-ai-infrastructure-engineer",
        "location": "Los Angeles, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Robotics",
        "salary_range": "$100K - $200K",
        "equity_range": "0.10% - 1.00%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": [
          "C++",
          "Python",
          "Linux",
          "Microcontrollers"
        ]
      },
      {
        "id": 116145,
        "title": "Chief of Staff",
        "url": "https://www.ycombinator.com/companies/yondu/jobs/AwihGGR-chief-of-staff",
        "location": "Gardena, CA, US",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$100K - $200K",
        "equity_range": "0.10% - 0.50%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 116147,
        "title": "Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/yondu/jobs/EYpToWD-forward-deployed-engineer",
        "location": "Gardena, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Robotics",
        "salary_range": "$80K - $120K",
        "equity_range": "0.01% - 0.10%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 116149,
        "title": "Robot Technician",
        "url": "https://www.ycombinator.com/companies/yondu/jobs/Af1rQ7C-robot-technician",
        "location": "Gardena, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Robotics",
        "salary_range": "$60K - $80K",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 116150,
        "title": "Software Engineering Intern (Spring/Summer)",
        "url": "https://www.ycombinator.com/companies/yondu/jobs/0Cu1yIr-software-engineering-intern-spring-summer",
        "location": "Gardena, CA, US",
        "type": "Internship",
        "role": "Engineering",
        "role_type": "Robotics",
        "salary_range": "$4K - $10K / monthly",
        "equity_range": "",
        "experience": null,
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 116151,
        "title": "Mechatronics Intern (Spring/Summer)",
        "url": "https://www.ycombinator.com/companies/yondu/jobs/glxSqKV-mechatronics-intern-spring-summer",
        "location": "Gardena, CA, US",
        "type": "Internship",
        "role": "Engineering",
        "role_type": "Mechanical",
        "salary_range": "$4K - $6K / monthly",
        "equity_range": "",
        "experience": null,
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 95475,
        "title": "Yondu AI ➡️ Enabling the robot workforce of the future",
        "tagline": "Yondu is the platform for robot labor starting with drop-in order fulfillment automation",
        "body": "### **We are a platform-to-application company that puts robots in warehouses and makes them useful on day one. Our state-of-the-art remote teleoperation gives immediate efficiency gains, with our robot behavior models gradually taking over to reach full automation and drive costs down further. We’re starting with mobile order fulfillment, where a huge chunk of warehouse labor spend sits.**\n\n![uploaded image](/media/?type=post&id=95475&key=user_uploads/1547615/e8add669-ff4f-4eaa-9579-da70973fc77b)\n\n[https://www.youtube.com/watch?v=GzglTuRloCo](https://www.youtube.com/watch?v=GzglTuRloCo&t=1s)\n\n### ——————————————————————————————\n\n# **The timing**\n\nGeneral purpose robot **hardware has gotten 10x cheaper** in the past decade. And advancements in robot learning are helping automate **long-form, complex tasks**. **BUT** it’s still hard to achieve the **perfect human level success rates necessary** for deployment! The **opportunity lies in automating the shorter-form, easier-to-master tasks** that still have a level of complexity that made them impossible to automate in the past. The logistics field is full of these types of problems…\n\n![uploaded image](/media/?type=post&id=95475&key=user_uploads/1547615/8a3ea638-c361-46bd-8276-97be15ccf669)\n\n_A simple, fully autonomous pick at 1× speed_\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n### ——————————————————————————————\n\n# **The problem in mind**\n\nOrder picking labor can account for up to **50%** of warehouse manual operating costs. Pickers often walk **miles** per shift! Warehouses still rely on people for repetitive, physically demanding tasks with high turnover. Existing order fulfillment automation falls into two buckets:\n\n\\- **ASRS (Automated Storage and Retrieval Systems)**: Basically turns a warehouse into a giant 3D robot grid system. It gets high throughput but costs tens of millions and requires an overhaul of warehouse space. 😢 **_HIGH COST_**_, 😊 **HIGH AUTOMATION**_\n\n\\- **AMR (Autonomous Mobile Robots)**: These robots carry shelves and goods around which reduces walking time. But they still require human picking. 😊 **_LOW COST_**_, 😢 **LOW AUTOMATION**_\n\n### ——————————————————————————————\n\n# **OUR SOLUTION**\n\n**We’ve created a 3 part embodied-AI platform that automates bin picking using off the shelf robots in brownfield deployments. 😊 _LOW COST, 😊 HIGH AUTOMATION_**\n\nhttps://youtu.be/UVmMSui2_FQ\n\nWith **ULTRON** (user-friendly low-latency **remote teleoperation** system) we **deploy first**, putting robots to use immediately in our customers’ operations and spinning up our data flywheel.\n\n![uploaded image](/media/?type=post&id=95475&key=user_uploads/1547615/6ddec526-7b14-48db-a5b1-387ea371943e)\n\nOur **WMS** (warehouse management software) **integration and** **orchestration** software routes orders from a warehouse’s WMS to our platform, instructing robots where to go and operators what to pick.\n\n![uploaded image](/media/?type=post&id=95475&key=user_uploads/1547615/583a510d-09f3-46e7-8b54-c44e0edc3e9b)\n\nOur autonomy stack **YGM** (Yondu General Manipulation) pushes the system to fully autonomous as we **gain more in-the-wild** experience. Over time the manipulation policy takes over more work and the operator is required less. YGM is responsible for:\n\n* Steering our robot policy to pick and place from the correct bins\n* Identifying how good a job it is doing and whether it is struggling so an operator can take over\n* Learning from new experiences and adapting to succeed in situations that it previously struggled in\n\n![uploaded image](/media/?type=post&id=95475&key=user_uploads/1547615/663a0f0b-53ce-40b5-ad46-95980e70197b)\n\n_Operations in our partner warehouse_\n\n### ——————————————————————————————\n\n# Our Vision\n\nOur platform is **not limited to only helping us conquer bin picking**. Logistics warehouses still have many more repetitive-yet-slightly-complex tasks such as decanting, replenishing, and packing. And as **robot learning capabilities continue to grow**, our pipeline of _deploy→collect→refine→automate_ only increases in value. There will be **more brownfield robotics automation providers** for specific industries and increasingly complex tasks. They will need to integrate with their customers and spin up their own data flywheels. And the Yondu platform will be available for them so they can automate **any task** with **any robot**.\n\n### ——————————————————————————————\n\n# **Team**\n\nWe’ve gathered quite the team. Here are just a few of our talented members\n\n\\- **Michael Chen (CEO)** Ex-MIT Controls and Robotics\n\n\\- **Tahmid Jamal (CTO)** MIT AI & Aerospace\n\n\\- **Lianhao Yin (Head of Research)** MIT CSAIL Postdoc in Robotic Systems\n\n\\- **Jairo Maldonado (Teleop Lead)** Georgia Tech PhD in Robotic Prosthesis\n\n\\- **Mehul Kumar (Founding Researcher)** Industry veteran in VR, humanoids, simulations, and teleop\n\n![uploaded image](/media/?type=post&id=95475&key=user_uploads/1547615/b5914757-4088-48a7-b88b-0252656f6300)\n\n### ——————————————————————————————\n\n# Ask\n\n\\- **3PLs**: If you are in charge of warehouse operations and think you’re spending more resources on a job than you _should_ be, **complain to us**!\n\n\\- **Robotics partner**: If you’re also in the robotics automation space and would like to use our platform, **let’s partner up**\n\n**Reach out to [founders@yonduai.com](mailto:hello@yonduai.com)**\n\n### ——————————————————————————————",
        "url": "https://www.ycombinator.com/launches/Opv-yondu-ai-enabling-the-robot-workforce-of-the-future",
        "votes": 58,
        "created_at": "2025-11-14T18:30:57.452Z"
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    "subindustry": "B2B -> Marketing",
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        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "When we were heading Growth at Twitter, we saw the power of copy changes. **When we tweaked a push notification from “Elon tweeted” to “Elon _just_ tweeted”, we gained 800K additional users.** We never underestimated the power of copy since that day. The company funded it as a big investment in the difficult years when Twitter’s growth was tanking. However, each change would take 3-6 months to pick, test, approve, and ship. We also didn’t know how to use those learnings systematically to prioritize the next copy change. We started building internal tools to automate this and gained 20% additional user growth. We stumbled upon similar problems and “vision docs” at Pinterest. We knew we were staring at money on the table. We quit our jobs to build [just words](https://justwords.ai)."
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        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "Today, lifecycle marketing is built on manual effort — copywriters brainstorming variants, data scientists running A/B tests, and marketers trying to make sense of disconnected dashboards. Every campaign is a one-off experiment.\r\n\r\nIn the world we’re building, **AI-marketers** will handle this entire loop — strategy, creation, optimization, and learning — with humans acting as orchestrators, not operators.\r\n\r\n* Campaigns will **self-evolve**: AI agents will detect new opportunities, write and test messages, measure outcomes, and continuously improve.\r\n* Brands will move from **batch campaigns** to **living systems** — always-on, hyper-personalized, cross-channel journeys that adapt in real time.\r\n* Every marketer, no matter their company size, will have access to enterprise-level intelligence — a strategist, a creative, an optimizer, and a data scientist — all in one AI team.\r\n\r\nThe world will shift from “humans using tools” to **humans teaming with AI agents**.\\\r\nAnd in doing so, we’ll make personalization not just scalable, but truly human again — every message relevant, every experience intelligent, every brand empathetic at scale."
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    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/getjustai",
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      "name": "Pete Koomen",
      "url": "https://www.ycombinator.com/people/pete-koomen"
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        "full_name": "Neha Mittal",
        "title": "Founder/CEO",
        "founder_bio": "Neha Mittal is the CEO & Co-founder of JustAI. She was the head of product for Retention & Growth at Pinterest and at Twitter. She also co-founded CityStructure and was the founding engineer at Sensorflow. She has also held product & engineering roles at the Chan Zuckerberg Initiative and Goldman Sachs.",
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        "title": "Full Stack Software Engineer",
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        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $160K",
        "equity_range": "0.10% - 0.50%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
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        "title": "Account Executive",
        "url": "https://www.ycombinator.com/companies/justai/jobs/NOV6eqU-account-executive",
        "location": "San Francisco, CA, US",
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        "role": "Sales",
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    "news": [
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        "title": "Just Words Gets Funding From Peak XV Partners, Y Combinator",
        "url": "https://inc42.com/buzz/former-x-executives-startup-just-words-nets-funding-to-automate-personalised-messaging-for-enterprises/",
        "date": "Aug 27, 2024"
      },
      {
        "title": "YC’s latest Demo Day shows fascinating wagers on healthcare, chip design, AI and more | TechCrunch",
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        "tagline": "Maximize growth velocity with automated message refresh on emails and push.",
        "body": "**tldr:** We’re building an AI-first marketing tech stack for enterprises. We are on a mission to rethink growth by turning content into conversations. Our core product allows companies to auto-refresh content on growth channels like emails using reinforcement learning, artificial intelligence, and causal inferences. Companies have 10X their speed of experimentation, and have seen stat sig engagement lift with our technology. \n\n```\n❌ the problem\n```\n\n1\\. Traditional A/B testing is slow. It can take 3-6 months to run one test because of organizational decision-making and lack of ML infrastructure. \n\n2\\. Content and copy selection is based on vibes. \n\n3\\. Prioritization of the biggest opportunities is decided by the loudest voice in the room. \n\n```\n✨ our solution\n```\n\n1\\. Enrich CRM with ML powered personalization \n\n2\\. Auto-refresh content on the fly. Auto-tune underperforming content with newly generated dynamic content in real time\n\n3\\. Use insights from infinite testing to predict the next best action.\n\n![uploaded image](/media/?type=post&id=77393&key=user_uploads/1381391/30b40cc4-6a73-4e12-9a09-5cbba4930fb3)\n\n```\n🙏 asks\n```\n\n1\\. Check out [justwords.ai](http://justwords.ai) and book a demo for your use case (email, sms, push, landing page titles).\n\n2\\. Connect us to your growth & marketing teams. Book a [30 min slot](https://calendly.com/just-words) with us or drop us an email at [founders@justwords.ai.](mailto:founders@justwords.ai)",
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        "created_at": "2024-01-10T20:48:09.601Z"
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    "id": 29408,
    "name": "Circleback",
    "slug": "circleback",
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    "website": "https://circleback.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Circleback helps teams get the most out of every conversation with best-in-class AI-powered meeting notes, action items, automations, and search.\r\n\r\nFor example, Circleback can automatically identify feature requests that come up in product demo calls and create Linear tasks for each of them, or update your CRM with customer details after a sales call.\r\n\r\nBefore Circleback, Ali led the first integration of LLMs into the Stripe support product and Kevin worked on predictive analytics at Tableau as a senior software engineer.",
    "one_liner": "AI-powered meeting notes and automations",
    "team_size": 8,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1705519143,
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    "year_founded": 2023,
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      "name": "Gustaf Alstromer",
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        "full_name": "Ali Haghani",
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        "full_name": "Kevin Jacyna",
        "title": "Founder/CPO",
        "founder_bio": "Kevin is a co-founder of Circleback. Before Circleback, Kevin was a senior software engineer at Tableau, where he worked on bringing predictive analytics into Tableau, as well as improving compatibility between the desktop and web products. He formerly played Junior A hockey in Canada.",
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        "id": 91861,
        "title": "Senior Software Engineer",
        "url": "https://www.ycombinator.com/companies/circleback/jobs/G8t2DGB-senior-software-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
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        "title": "Software Engineer",
        "url": "https://www.ycombinator.com/companies/circleback/jobs/dUH7zjN-software-engineer",
        "location": "San Francisco, CA, US",
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        "role_type": "Full stack",
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        "experience": "1+ years",
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          "React Native",
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      {
        "id": 92631,
        "title": "Founding Marketer",
        "url": "https://www.ycombinator.com/companies/circleback/jobs/io0eCUK-founding-marketer",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$140K - $200K",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
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      },
      {
        "id": 92780,
        "title": "Design Engineer",
        "url": "https://www.ycombinator.com/companies/circleback/jobs/cELqQKO-design-engineer",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Design",
        "role_type": "Product design",
        "salary_range": "$170K - $280K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": [
          "React",
          "React Native",
          "Swift",
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      },
      {
        "id": 96234,
        "title": "Software Engineering Intern (Summer 2027)",
        "url": "https://www.ycombinator.com/companies/circleback/jobs/lulIPMP-software-engineering-intern-summer-2027",
        "location": "San Francisco, CA, US",
        "type": "Internship",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$7K - $10K / monthly",
        "equity_range": "",
        "experience": null,
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        "skills": [
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          "React",
          "React Native",
          "TypeScript"
        ]
      },
      {
        "id": 96710,
        "title": "Executive Assistant",
        "url": "https://www.ycombinator.com/companies/circleback/jobs/XIR4abq-executive-assistant",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$100K - $140K",
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        "experience": "Any (new grads ok)",
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      },
      {
        "id": 101689,
        "title": "Product Engineer",
        "url": "https://www.ycombinator.com/companies/circleback/jobs/Uno1NfS-product-engineer",
        "location": "San Francisco, CA, US",
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      },
      {
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        "title": "Senior Product Engineer",
        "url": "https://www.ycombinator.com/companies/circleback/jobs/ou5MXKF-senior-product-engineer",
        "location": "San Francisco, CA, US",
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    ],
    "news": [
      {
        "title": "YC-backed Circleback is out to become the best meeting notetaker | TechCrunch",
        "url": "https://techcrunch.com/2024/11/26/yc-backed-circleback-is-out-to-become-the-best-meeting-notetaker/",
        "date": "Nov 26, 2024"
      },
      {
        "title": "The best AI note-taking tools for meetings | Time",
        "url": "https://time.com/charter/6987522/the-best-ai-note-taking-tools-for-meetings/",
        "date": "Jun 12, 2024"
      },
      {
        "title": "Technology accelerator invests $500K in CS alums’ start-up | Computer Science at UBC",
        "url": "https://www.cs.ubc.ca/news/2024/03/technology-accelerator-invests-500k-cs-alums-start",
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        "id": 77984,
        "title": "Circleback: AI-powered meeting notes and workflows",
        "tagline": "We help teams get the most out of every meeting by automatically writing meticulous notes and taking action on insights that matter to them",
        "body": "**TL;DR:** [Circleback](https://circleback.ai/) helps teams get the most out of every meeting–whether on Zoom, Google Meet, or in-person–by **automatically writing meticulous notes** and **taking action on insights** that matter to them. [Give it a try](https://circleback.ai) in your next meeting or [schedule a demo](https://cal.com/alihaghani/circleback-demo) to see how it works.\n\n—\n\nHey all! We’re [Ali](https://linkedin.com/in/alihaghani) and [Kevin](https://linkedin.com/in/kevinjacyna) and we’re building Circleback to help teams get the most out of every meeting.\n\n## 🧨 Problem\n\n* Meetings are an **untapped goldmine of useful information**\n* 90% of what is shared in meetings is **forgotten within a week**\n* **Finding what was discussed in meetings across teams is difficult** because meeting docs are difficult to find, incomplete, or non-existent\n\n## 💡 Solution\n\nCircleback helps you and your team get the most out of every meeting.\n\n* We automatically write **meticulous notes** and **assign action items** for your meetings\n* Create workflows to **identify exactly what’s most important** to you\n* Automatically **action on important insights**, i.e. create new Linear tasks for feature requests that come up in customer demos or share meeting notes and action items on Slack\n* Quickly **find anything that was talked about** in your team’s meetings using the AI-powered search\n\n![uploaded image](/media/?type=post&id=77984&key=user_uploads/126963/02ee5577-44c0-4878-80bc-46f497215e4e)\n\n## ✨ How it works\n\nOnce you’ve connected your calendar, you can choose which meetings you’d like Circleback to take notes for. For in-person conversations, you can record directly from your phone/laptop or import an audio/video file.\n\nAfter each meeting, you’ll see the AI-written notes, grouped by topic, alongside assigned action items, the transcript, and a recording of the meeting (if enabled). You can share meeting notes with the rest of your team directly on Circleback and externally via email or a shareable link.\n\n![uploaded image](/media/?type=post&id=77984&key=user_uploads/126963/f5003c7c-789c-4c40-a6b7-406e9054cd29)\n\nEasily see what outstanding action items are assigned to you, your team, and people you’ve met with from the Action Items tab.\n\nSet up powerful automations from the Workflows tab–choose which meetings you’d like your workflow to run for (i.e. only calls with Jessica or only calls tagged as Weekly Planning), then create an insight you’d like to identify and choose what you’d like to do with it.\n\n#### More about Circleback\n\n* Works with Zoom, Google Meet, Microsoft Teams, BlueJeans, and in-person meetings\n* Supports over 100 languages with industry-leading transcription accuracy\n* Integrates with Google Calendar and Microsoft Calendar\n* AI-powered search can answer questions using the context of past meetings, turning your team’s conversations into a real-time knowledge base\n* Integrates directly with Notion, Slack, HubSpot, Salesforce, and more with webhook support for custom integrations\n* Lets you share meeting notes and recordings with attendees and the rest of your team\n\n## 🧡 Asks\n\n* [Try out Circleback](https://circleback.ai) for free!\n* [Schedule a demo](https://cal.com/alihaghani/circleback-demo) if you’re curious about using Circleback at your company\n* Email us at [founders@circleback.ai](mailto:founders@circleback.ai) with any thoughts or feedback–we’d love to learn about specific workflows you have around meetings\n\n![uploaded image](/media/?type=post&id=77984&key=user_uploads/126963/487989f9-512c-402c-9d70-04c9fb504760)\n\n",
        "url": "https://www.ycombinator.com/launches/KHo-circleback-ai-powered-meeting-notes-and-workflows",
        "votes": 51,
        "created_at": "2024-01-30T18:31:34.403Z"
      }
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    "id": 29409,
    "name": "BetterBasket",
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    "website": "http://www.betterbasket.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "BetterBasket provides grocery retailers with AI agents for pricing, competitive intelligence and promotion optimization, with the aim of helping teams boost revenue, manage margin targets and automate decisions using real-time data across operations. ",
    "one_liner": "Smart grocery pricing with AI",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Analytics",
    "launched_at": 1706153675,
    "tags": [
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    "regions": [
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      "America / Canada",
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      "Partly Remote"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/betterbasket",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/betterbasket.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/98110558",
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    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
    },
    "founders": [
      {
        "user_id": 1227729,
        "full_name": "Leon Zhang",
        "title": "Founder/CEO",
        "founder_bio": "BetterBasket CEO; ex-Uber Eats, PIMCO, Wharton MBA dropout and UChicago BS '17",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/leon-zhang-850772b3",
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      {
        "user_id": 1643805,
        "full_name": "Vagelis Viskadouros",
        "title": "Founder/CTO",
        "founder_bio": "BetterBasket Founder, ex-Uber Eats Data Scientist, Ecole Polytechnique MSc in Data Science for Business",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/viskadouros",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8b3dd6998db7de4f62b6bcc784205978b1dd759c.jpg"
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    "jobs": [
      {
        "id": 68593,
        "title": "Software Engineer",
        "url": "https://www.ycombinator.com/companies/betterbasket/jobs/wsZC1jR-software-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $160K",
        "equity_range": "0.25% - 2.00%",
        "experience": "1+ years",
        "visa": "Will sponsor",
        "skills": [
          "JavaScript",
          "Python",
          "SQL"
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      {
        "id": 93356,
        "title": "Software Engineering Intern",
        "url": "https://www.ycombinator.com/companies/betterbasket/jobs/VizvMJh-software-engineering-intern",
        "location": "San Francisco, CA, US",
        "type": "Internship",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$6K - $10K / monthly",
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        "experience": null,
        "visa": "US citizen/visa only",
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    ],
    "news": [
      {
        "title": "FMI Midwinter 2026: AI and collaboration take center stage - SmartBrief",
        "url": "https://www.smartbrief.com/original/fmi-midwinter-2026-ai-and-collaboration-take-center-stage",
        "date": "Jan 24, 2026"
      },
      {
        "title": "Delving Into ‘The Next Now’ at NRF 2026: Retail’s Big Show | Progressive Grocer",
        "url": "https://progressivegrocer.com/delving-next-now-nrf-2026-retails-big-show",
        "date": "Jan 17, 2026"
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    "launches": [
      {
        "id": 78622,
        "title": "BetterBasket - Pricing for Grocers",
        "tagline": "The first end to end pricing and assortment solution for grocery stores",
        "body": "TLDR; 95% of American consumers are changing their grocery shopping habits because of volatile prices, and the $800bn grocery industry must adapt. [**_BetterBasket_**](http://betterbasket.ai/) provides an end-to-end solution for merchandising teams at grocery stores to help with pricing and product assortment.\n\n### **🍌 Problem**\n\nGrocers and food & beverage brands need data-driven recommendations more than ever because of…\n\n* Macro impacts from **price volatility**,\n* customer pull for **more localized selection**,\n* and **shrinking pricing zones** as local supply chains get impacted.\n\nEven for established enterprises, analyzing data across hundreds of thousands of SKUs (“apples-to-apples” comparisons), daily price movements, and multiple margin targets, while balancing sell-through, profitability, and customer satisfaction (especially at a time when many are being accused of “greedflation”) is an impossible task.\n\nCurrent solutions are to:\n\n* Make decisions **without data**,\n* Use a labor-intensive method such as **mystery shoppers,** or\n* Get by with tools that neither **raise the level of sophistication** that managers can operate at **nor saves them time.**\n\n### **🍎 Solution**\n\nBetterBasket is an end-to-end solution for merchandising, encompassing (1) competitive data, (2) visualizations, and (3) recommendations.\n\n![uploaded image](/media/?type=post&id=78622&key=user_uploads/1227729/a16ebfbb-5ee5-48f3-b7e0-29b88e01d8ef)\n\n![uploaded image](/media/?type=post&id=78622&key=user_uploads/1227729/366f91f7-931d-4810-8295-5b4cfdef020d)\n\n![uploaded image](/media/?type=post&id=78622&key=user_uploads/1227729/9e0f42fe-3368-429d-bf40-afea42be9af0)\n\n### **🧺 How it Works**\n\nWe scrape websites and flyers for in-store and online pricing and product info. Our matching algorithm then uses a combination of natural language processing and computer vision methods to create a centralized product repository across merchants, geographies, and categories that describes the items and the relationships between them.\n\nThis database allows us to give customers up-to-date and accurate competitive information on the products that they and their competitors are carrying. This includes but is not limited to historical price changes, geographical pricing (zone maps), and Venn diagrams showcasing item overlap.\n\nOur pricing and assortment algorithms generate pricing recommendations (with the ability to automate pricing in online stores and physical stores that use digital price tags) as well as assortment recommendations (products to acquire or remove). Our algorithms use data from competitive intelligence, our customer’s unique strategies and targets, and external variables to achieve the optimal outcome based on current conditions.\n\n### **🍣 Why we started BetterBasket**\n\nVagelis and Leon worked together at Uber Eats, setting up the grocery delivery platform and notably launching our dark store footprint in Taiwan and Japan and scaling it to 20+ stores. As we built up a launch team with no retail DNA, we realized the need for merchandising analytics for pricing and procurement teams, especially with regards to competitive data.\n\n![uploaded image](/media/?type=post&id=78622&key=user_uploads/1227729/4c26d656-2098-496f-9f75-ce9293fc8ea3)\n\n![uploaded image](/media/?type=post&id=78622&key=user_uploads/1227729/670a85af-7780-458a-9731-6dd53bbbd179)\n\n### **🍴 The Ask**\n\nIf you know of any grocery chains or food and beverage brands that need help with pricing or product assortment decision-making or are willing to talk about their most pressing issues, let us know! We’re at [**founders@betterbasket.ai**](mailto:founders@betterbasket.ai) and would love to learn more about their needs.",
        "url": "https://www.ycombinator.com/launches/KS6-betterbasket-pricing-for-grocers",
        "votes": 49,
        "created_at": "2024-02-21T21:02:52.062Z"
      }
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  },
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    "id": 29410,
    "name": "Model ML",
    "slug": "model-ml",
    "former_names": [
      "Model AI"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9534078fe1346cc9c5c1cef87076db8b67768589.png",
    "website": "https://www.modelml.com/",
    "all_locations": "London, England, United Kingdom",
    "long_description": "Team:\r\nChaz: Founder of Fat Llama YC S17 - Acquired by Hygglo. Responsible for Business and Sales \r\nArns: Founder of Fancy S20 - Acquired by Gopuff, Responsible for tech and product. ",
    "one_liner": "The AI for Financial Services.",
    "team_size": 180,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1700480676,
    "tags": [
      "SaaS",
      "Finance",
      "B2B",
      "AI"
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    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
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    "regions": [
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      "Europe"
    ],
    "stage": "Growth",
    "app_video_public": false,
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    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/model-ml",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/model-ml.json",
    "year_founded": 2023,
    "city": "London",
    "country": "GB",
    "linkedin_url": "https://www.linkedin.com/company/model-ml/posts/?feedView=all",
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    "primary_partner": {
      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
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      {
        "user_id": 489419,
        "full_name": "Arnie Englander",
        "title": "Founder",
        "founder_bio": "2x YC founder. \nFancy (S20) - Acquired by Gopuff.\nModelML (W24).\nLove building cool stuff.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/arnie-englander",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0ffc63e1fea691a195b10f3aa56c974b9aee8656.jpg"
      },
      {
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        "full_name": "Chaz Englander",
        "title": "Founder",
        "founder_bio": "2x YC Founder. \nFat Llama (S17) - acquired by Hygglo \nModeML (W24)",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/chazenglander",
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    "jobs": [
      {
        "id": 66740,
        "title": "Product Growth",
        "url": "https://www.ycombinator.com/companies/model-ml/jobs/lrPAkoP-product-growth",
        "location": "New York, NY, US / Remote (London, England, GB)",
        "type": "Full-time",
        "role": "Product",
        "role_type": null,
        "salary_range": "$70K - $130K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 67842,
        "title": "Growth",
        "url": "https://www.ycombinator.com/companies/model-ml/jobs/NgPldYS-growth",
        "location": "SG / HK / IN / US / Remote (SG; HK; IN; US)",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$120K - $200K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 68048,
        "title": "Operations",
        "url": "https://www.ycombinator.com/companies/model-ml/jobs/LcaMAjR-operations",
        "location": "London, England, GB",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$35K - $50K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 77750,
        "title": "Marketing Lead",
        "url": "https://www.ycombinator.com/companies/model-ml/jobs/XPntJpF-marketing-lead",
        "location": "London, England, GB",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$80K - $130K",
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      },
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        "id": 78535,
        "title": "Design Lead",
        "url": "https://www.ycombinator.com/companies/model-ml/jobs/ytdt6bA-design-lead",
        "location": "London, England, GB",
        "type": "Full-time",
        "role": "Design",
        "role_type": "UI / UX",
        "salary_range": "$80K - $140K",
        "equity_range": "",
        "experience": "3+ years",
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        "skills": []
      },
      {
        "id": 80697,
        "title": "Brand Designer",
        "url": "https://www.ycombinator.com/companies/model-ml/jobs/eUv5TT2-brand-designer",
        "location": "London, England, GB",
        "type": "Full-time",
        "role": "Marketing",
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        "salary_range": "$80K - $120K",
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      },
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        "id": 80698,
        "title": "Content Strategist",
        "url": "https://www.ycombinator.com/companies/model-ml/jobs/UuAVi50-content-strategist",
        "location": "London, England, GB",
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        "id": 85540,
        "title": "Full-Stack Engineer",
        "url": "https://www.ycombinator.com/companies/model-ml/jobs/vRcObwO-full-stack-engineer",
        "location": "London, England, GB",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$80K - $140K",
        "equity_range": "",
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      },
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        "id": 85541,
        "title": "Applied AI Engineer",
        "url": "https://www.ycombinator.com/companies/model-ml/jobs/XKYq3QI-applied-ai-engineer",
        "location": "London, England, GB",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$100K - $200K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 85542,
        "title": "Infrastructure/ Security/ DevOps",
        "url": "https://www.ycombinator.com/companies/model-ml/jobs/04AOws0-infrastructure-security-devops",
        "location": "London, England, GB",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Devops",
        "salary_range": "$80K - $140K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 85543,
        "title": "Senior Backend Engineer",
        "url": "https://www.ycombinator.com/companies/model-ml/jobs/XvpJIP5-senior-backend-engineer",
        "location": "London, England, GB",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$120K - $180K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 87370,
        "title": "Full Stack Data Scientist",
        "url": "https://www.ycombinator.com/companies/model-ml/jobs/oX7ZeFH-full-stack-data-scientist",
        "location": "London, England, GB",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Data science",
        "salary_range": "$100K - $160K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 91482,
        "title": "GTM Lead",
        "url": "https://www.ycombinator.com/companies/model-ml/jobs/HcBixzE-gtm-lead",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$200K - $400K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 95186,
        "title": "Data, Strategy, & Ops",
        "url": "https://www.ycombinator.com/companies/model-ml/jobs/5gDkqo8-data-strategy-ops",
        "location": "London, England, GB",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "£90K - £130K GBP",
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      },
      {
        "id": 102974,
        "title": "Head of IT & Compliance",
        "url": "https://www.ycombinator.com/companies/model-ml/jobs/sis79NH-head-of-it-compliance",
        "location": "New York, NY, US",
        "type": "Full-time",
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        "role_type": null,
        "salary_range": "$150K - $250K",
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    ],
    "news": [
      {
        "title": "AI Startup Model ML Raises $75 Million to Take Junior Bankers’ Grunt Work - Bloomberg",
        "url": "https://www.bloomberg.com/news/articles/2025-11-24/ai-startup-raises-75-million-to-take-junior-bankers-grunt-work",
        "date": "Nov 24, 2025"
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      {
        "title": "Y-Combinator-backed Model ML emerges from stealth with $12M funding - Tech.eu",
        "url": "https://tech.eu/2025/02/07/model-ml-emerges-from-stealth-with-12m-funding/",
        "date": "Feb 07, 2025"
      },
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        "title": "Exclusive: Model ML, a financial research startup automating Wall Street’s grunt work, emerges from stealth  | Fortune",
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        "id": 77922,
        "title": "Artos - Turning science into regulatory submissions",
        "tagline": "Our platform helps life sciences teams turn their data and any other information on their product into submission packages required by CMS and regulatory bodies like the FDA in half the time.",
        "body": "⏱️ _TL;DR: Instead of paying lots of money to contractors or spending hundreds of hours writing out documents for regulatory submissions, life sciences teams use our platform to synthesize their data and information on a product into high-quality first drafts of protocols and other documents in minutes, iterate sections in seconds, and meet rigorous document quality standards with near-zero effort. _[_Set up a meeting_](https://usemotion.com/meet/joshua-kim/7s7w1jm?d=30)_ or _[_email us_](https://founders@artosai.com)_ to learn more._\n\n![uploaded image](/media/?type=post&id=77922&key=user_uploads/89898/2b4e7482-c5ac-4544-950f-b715057940c7)\n\nWe’re [Varun](https://linkedin.com/in/varun-patel-091715156) and [Josh](https://linkedin.com/in/joshua-kim-57239519b), and we’re the founders of [Artos](https://www.artosai.com/). We met in college at the University of Chicago on pretty different paths: Varun was studying Molecular Engineering and Neuroscience and had taken a job as a Software Engineer at United Healthcare, and Josh was studying Economics and had an early offer from Harvard for graduate school.\n\nWe started working together after Josh joined an AI lab at UChicago Medicine. One day, Josh reached out to Varun for some help on an AI-based medical device product he was working on, and the two of us have been working together since. Artos was born out of our own experiences with the life sciences’ regulatory submissions process.\n\n## **📁 What are regulatory submissions and why do they matter?**\n\nLife sciences’ regulatory submissions - like INDs and PMAs - and similar filings can be thousands of pages long. They contain an exhaustive amount of detail about everything related to a new drug or medical device because these submissions are how health agencies like the FDA decide whether and how a product can be used.\n\nThe information for these submissions is spread across a company: experiment reports, meeting notes, conference presentations, and more. A significant amount of the effort that goes into writing these submissions is spent on compiling, reviewing, citing, and writing up that information in the right format for the final submission, which easily adds weeks or months to timelines.\n\n## **✅ Our solution**\n\nArtos’s document-drafting platform helps life sciences companies put together their submission documents in half the time.\n\nTeams can connect to the sources of data they’d usually use to write up a given document, select a template or a sample document they want to base the new document on and get a first draft in minutes.\n\n![uploaded image](/media/?type=post&id=77922&key=user_uploads/89898/bc503e3c-c3e8-4034-b881-dac101b9c3f1)\n\nTeams can iterate on sections in seconds.\n\n![uploaded image](/media/?type=post&id=77922&key=user_uploads/89898/740ea18e-646d-4f84-89bb-4ba1a51e18db)\n\nThey can use a suite of tools to search documents, find source documentation quickly, and implement changes made in one part of a document across the rest of the document or a larger set of documents.\n\n![uploaded image](/media/?type=post&id=77922&key=user_uploads/89898/a24f7f36-8ad9-4c07-afd9-a826dc371bc5)\n\nAnd, of course, we do all this while keeping a company’s data hypersecure.\n\n## **🙏 Our ask**\n\n1. [Set up a meeting](https://usemotion.com/meet/joshua-kim/7s7w1jm?d=30) or [email us](https://founders@artosai.com) to learn more and get your company onboarded.\n2. Share this post!\n3. Please intro us to folks on clinical teams at biotech/pharma/medical devices! Here’s a short blurb: “[Artos](https://www.artosai.com/) is a company started by AI researchers and engineers with backgrounds in biotech/medical devices. They’re building a document-drafting platform to help life sciences companies put together their submission documents in half the time. Contact [founders@artosai.com](mailto:josh@artosai.com) for more.”",
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        "title": "Brainbase - Build your own AI workforce",
        "tagline": "Build enterprise-grade AI workers for your business",
        "body": "### TLDR\n\n_Brainbase is to AI workers what Retool is to internal tools._\n\nVery soon every company will need to have an AI workforce working alongside their human team. Brainbase is the only platform that lets your business create its own enterprise-grade AI workers. Everyone from government agencies to SMBs is choosing us to create workers that do everything from outbound sales calls to customer support.\n\nIf your company already has workflows that you want to automate or just want to explore our 100+ templates, [**schedule a demo**](https://calendly.com/usebrainbase/demo) or [**get on our waitlist**](https://docs.google.com/forms/d/e/1FAIpQLSdOpDWM6faDDH8vkDhBYVFij6kGqeK5NQZmRkOiXU8q-s149w/viewform)!\n\n![uploaded image](/media/?type=post&id=80202&key=user_uploads/89898/eab30f63-2964-4b23-a44a-9b4d731b2629)\n\n### Intro\n\nHey, [Gokhan](https://www.linkedin.com/in/gokhan-egri/) here! I dropped out of my Machine Learning PhD at Harvard to build Brainbase. **So far, it’s been the best choice ever!** Previously I started another AI company and built over 15 apps that got more than 50K downloads.\n\n### Problem\n\nMost business workflows are very repetitive with easily automatable tasks, yet they cost the average business **70% of their workforce** every year. That’s **every 2 out of 3 hires** doing repetitive work day in and day out 🤯\n\nWhen businesses try to automate these workflows using one of the hundreds of AI automation tools out there, they quickly see that these tools are either **unreliable, difficult to set up** or **simply not powerful enough for business tasks.**\n\n### Solution\n\nAt [Brainbase](https://www.loom.com/share/d6b05fe8d5a4455f983e92c919998cdd?sid=7b2f0f3f-e38c-4cff-9970-b932b9d787af) we let you build industry-grade AI workers that are _designed_ to handle complex enterprise workflows unique to your business.\n\nUnlike our competitors, Brainbase’s workers are:\n\n* **Unique to your business:** No two employees at two different companies are the exact same. We let you build unique workers for your business’s unique requirements\n* **24/7:** Our workers work non-stop so they can delight your customers continuously\n* **10x cheaper:** Our AI workers are 1/10th the cost of hiring another employee, with the same performance\n* **Easy to set up:** Start in less than a day with one of our 100+ templates for the most common Sales, HR, and customer support workers\n* **Easier to customize:** We built the best tools — code and no code — to build your workers to your business’s exact needs\n\nSo far, our customers have built:\n\n* **Government call centers** responding to 100s of calls a day\n* **Resume reviewers** that review 1000s of documents in minutes\n* **Automated support reps** that respond to customer requests in seconds\n* and more…\n\nStart with one of our [100+ templates](https://docs.google.com/forms/d/e/1FAIpQLSdOpDWM6faDDH8vkDhBYVFij6kGqeK5NQZmRkOiXU8q-s149w/viewform) for end-to-end Sales, HR, or Customer Support workers, invite your team, customize to perfection, and start seeing results in less than a week.\n\n### ASK\n\n1. **Is your business currently hiring for a non-technical position? Let’s see if you can get away with an AI worker instead!** [Schedule a demo](https://calendly.com/usebrainbase/demo) to see what’s possible with Brainbase.\n2. **Do you have ideas for business workflows you want automated?** Reach out to [gokhan@usebrainbase.xyz](mailto:gokhan@usebrainbase.xyz), I’d love to have a chat!\n3. **Like, share, and tell your friends!:** It would mean a lot!\n\n❤️ _Thank you for taking the time to read through this. We’d love to hear your thoughts about what we’re building._\n\nBonus: [Check out](https://www.loom.com/share/b1fed8a9666647faa6128989a1e263a0?sid=093045e2-f598-449b-938a-4ce7bf130a1a) how we spun up a worker to handle OpenAI’s entire Slack support system from scratch in **less than 5 minutes**.",
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        "title": "Ultra: Advisor for Ambitious Students",
        "tagline": "Killing the college consulting industry",
        "body": "Hey everyone!\\\n\\\n**TL;DR:** Ultra helps ambitious students achieve anything; we’re launching our college admissions advisor, which focuses on helping students become extraordinary, which is more important than the application itself. \\\n\\\n**Ask:** We’d love to meet with two main categories: employers and educators (college counselors, principals, and school district leaders). We’ve already matched some very hungry and capable top 1% high school students to VC firms and YC startups as interns; we’d love to partner with more companies who are interested in building a talent pipeline here or otherwise interested in working with high schoolers. Contact us at [oliver@tryultra.org](mailto:oliver@tryultra.org) \\\n\\\n<https://youtu.be/9u-J96n09eU> \\\n\\\n**❌ The Problem**\n\nAmbitious students are underserved. A hungry high schooler is capable of so much more than APs and creating fake non-profits to get into a college.\\\n\\\nBut the guidance is often nothing or directly negative. Schools and counseling departments are already overwhelmed, so they have to focus their advice on the low-performing students. What is possible for a high schooler has also changed so much that a lot of previously sound advice has aged out. \\\n\\\nCollege remains the primary goal for ambitious high schoolers. And the best way to get in is to be shockingly impressive, which also helps later in life, too. But access to guidance on how to make yourself stand out to colleges is expensive (private college consultants) or not well packaged.\\\n\\\n[**👷**](https://emojipedia.org/construction-worker) **Our Solution**\\\nWe’ve created an AI advisor that helps students become extraordinary.\n\n1. Firstly, we simulate the process that elite colleges use to evaluate profiles to give students an idea of what their odds are (Naviance but better).\n2. Secondly, we give recommendations that students can iterate on. This pulls from a database of 3000+ opportunities, including opportunities exclusive to our platform, like high school-specific internships with venture-backed startups.\n3. Finally, we have a 24/7 AI coach that calls users to check in with them and help them plan and reflect.\n\nAI will make the top performers produce a larger and larger proportion of human work. We will help create this next generation of top performers from the most ambitious students of today.\\\n\\\n**🙏 Our Ask**\\\n\\\nWe’d love to hear from you if you fall into these categories:\n\n* Are you interested in working with or reaching the most ambitious high schoolers? We’ve got a range of partnership-led products coming up, working with startups and enterprises to help them recruit talent, get talent to use their products, and more. This could be as simple as posting opportunities to our platform and being able to recruit the best of the best at their scrappiest or creating job simulations.\n* You’re in education and can help us reach school districts and counselors. We want to give our product for free to schools!\n* If you’re a parent and can help us reach other parents with middle school to high school aged kids.\n* And of course, if you found this as a high schooler: [useultra.ai](http://useultra.ai) is for you.",
        "url": "https://www.ycombinator.com/launches/N8i-ultra-advisor-for-ambitious-students",
        "votes": 47,
        "created_at": "2025-03-25T22:57:49.442Z"
      }
    ]
  },
  {
    "id": 29424,
    "name": "Openmart",
    "slug": "openmart",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a841b2f12203d0678ecd110ec8aa1eb131f2681f.png",
    "website": "https://www.openmart.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "",
    "one_liner": "Local business data intelligence platform",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1704760449,
    "tags": [
      "SaaS",
      "B2B",
      "Sales",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/openmart",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/openmart.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://linkedin.com/company/openmartai",
    "x_url": "https://twitter.com/openmartai",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/openmart-da89",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a841b2f12203d0678ecd110ec8aa1eb131f2681f.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [
      "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/6c239c5919a3134f918b651811da8ecdd7396f6d.png"
    ],
    "primary_partner": {
      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
    },
    "founders": [
      {
        "user_id": 1629625,
        "full_name": "Richard He",
        "title": "Founder/CEO",
        "founder_bio": "Richard was a senior software engineer at Cruise and founding engineer at Graft, an LLM infra startup backed by GV and NEA. He contributed to Langchain and wrote the AI agent \"Chrome-GPT\" that reached Github's trending projects.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/yuchenghe",
        "x_url": "https://twitter.com/realrichomie",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/25efe125fb33be309cea61b73b1bef1d8dd50918.jpg"
      },
      {
        "user_id": 1629158,
        "full_name": "Kathryn Wu",
        "title": "Founder",
        "founder_bio": "previous growth @ pinterest ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/kathrynwoohoo",
        "x_url": "https://twitter.com/Kathrynwu088",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2b5c647d2d2fccc8e37075d82d2ad4296c0aca03.jpg"
      }
    ],
    "jobs": [
      {
        "id": 82429,
        "title": "Enterprise sales (SDR)",
        "url": "https://www.ycombinator.com/companies/openmart/jobs/MzUT9t6-enterprise-sales-sdr",
        "location": "Foster City, CA, US",
        "type": "Contract",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$60K - $150K",
        "equity_range": "0.05% - 0.50%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "Openmart wants to make it easier for enterprises to sell to local businesses | TechCrunch",
        "url": "https://techcrunch.com/2024/08/21/openmart-wants-to-make-it-easier-for-enterprises-to-sell-to-local-businesses/",
        "date": "Aug 21, 2024"
      },
      {
        "title": "Y Combinator Startups That Could Be The Next Tech Unicorns",
        "url": "https://www.forbes.com/sites/jackkelly/2024/06/04/y-combinator-startups-that-could-be-the-next-tech-unicorns/?sh=79aa49c25764",
        "date": "Jun 04, 2024"
      }
    ],
    "launches": [
      {
        "id": 92810,
        "title": "Openmart - Get local business contacts in Clay",
        "tagline": "Perform small account research at scale",
        "body": "We’re Kathryn and Richard – co-founders of Openmart.\n\n**TL;DR**\n\n**Openmart is teaming up with Clay to power sales teams with intelligence on 20M+ SMBs**\n\nWe’ve ingested millions of live signals, including public filings, websites, reviews, and even calls, then stitched them into a constantly living database on more than 20 million local businesses around the world.\\\nCheck out our[ launch video.](https://www.youtube.com/watch?v=kEPArWi9qu0)\n\n**Ask:** Could you introduce us to leaders facing SMB research or lead generation challenges, or those who outsource to BPOs for such tasks? We can assist with identifying and performing initial lead qualification.\\\n**Contact us:** [kathryn@openmart.com](mailto:kathryn@openmart.com)\n\n**The Problem**\n\nTraditional data providers lack depth and granularity in their SMB data. Often outdated, missing coverage, or simply being incorrect. \n\nThis has led to internal teams having to spend tons of slow and manual effort collecting and vetting the data they need – piecing together multiple solutions, using engineering resources, and spending on expensive outsourcing.\n\nUntil now, there was no unified solution for teams.\n\n[👷](https://emojipedia.org/construction-worker) **Our (Free!) Solution**\n\nAt Openmart, we’ve significantly simplified access to this data.\\\nWith Openmart, you can:\n\n1. Search millions of local businesses instantly\n2. Upload custom lists to perform deep research\n3. Enrich businesses for verified owner contacts\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXcor3-VU_s3q7QYLKG_J9kXMg8_IRv8ojL94T6An3gZ6DY_CikA_ZknFtSnNxw25GwRScWS1f6AhDbgNCIOkmukS9osJ7-oH-xXaPNJzkNneuxiQu3cwC3TT407ZZM7VTEKquBpHA?key=8T3GJJ3ibA5ooyB2PhXFDQ)\n\n\\\nYou can also plug Openmart data into your Clay systems in a variety of ways: ([_Clay_](https://www.clay.com/) helps teams turn any growth idea into reality via the best data, flexible workflows, and AI agents.)\n\nhttps://youtu.be/wkIne9_iwA4?feature=shared\n\n1. API access that you can easily plug and play into existing sales tools\n2. A free access version of Openmart is available at [app.openmart.com/register](http://app.openmart.com/register)\n3. Direct integration with Clay that fits directly into existing workflows.\n\n **Our Ask**\n\nCould you introduce us to leaders facing SMB research or lead generation challenges, or those who outsource to BPOs for such tasks? We can assist with identifying and performing initial lead qualification.\n\nContact us at [kathryn@openmart.com](mailto:kathryn@openmart.com)\n\nYour help can make a huge difference. **Thank you!**\n\n[👬](https://emojipedia.org/men-holding-hands) **The Team**\n\nWe (Kathryn and Richard) have known each other for over five years and met at Pinterest.\n\n![uploaded image](/media/?type=post&id=92810&key=user_uploads/1629158/cc867a70-853e-4693-b227-69cc96f21289)\n\n",
        "url": "https://www.ycombinator.com/launches/O8w-openmart-get-local-business-contacts-in-clay",
        "votes": 14,
        "created_at": "2025-08-07T15:02:31.886Z"
      },
      {
        "id": 78559,
        "title": "💰 Openmart - Get highly targeted local business leads using AI",
        "tagline": "Meet Openmart - AI alternative to ZoomInfo",
        "body": "**tl;dr:** \\\nHey everyone! We are [Richard](https://www.linkedin.com/in/yuchenghe/) and [Kathryn](https://www.linkedin.com/in/kathrynwoohoo/), and we're here to present [Openmart](http://www.openmart.ai), **a platform that helps startups who sell to local businesses discover leads easily based on their specific needs.**\\\n\\\nOver the past several years, we have worked as brand operators, the first product manager, and the first engineer at high-growth SaaS startups. We crossed paths at Pinterest and have been good friends ever since.\n\n![uploaded image](/media/?type=post&id=78559&key=user_uploads/1629158/eb4bdb54-7f60-4a76-a2d3-a543e2f9c886)\n\n**Problem**\\\nBased on our conversations with sales teams from various startups, we identified the following challenges:\n\n1. Finding SMB leads is difficult because there's no easy way to locate them. People often have to search randomly through platforms like Google Maps, Yelp, and Yellow Pages. **Companies like ZoomInfo charge upwards of $50,000 a year for an account.**\n2. Filtering out these SMB leads isn't easy. We observe different leads filtering requirements from our clients, and each of them, after receiving a list from ZoomInfo or others, still needs to spend days on manual research to determine if the business is a fit.\n\n**Our Solution**\\\nPicture Austin, a sales director at an aesthetic device startup, using Openmart. Openmart helps him conduct sales research and find places that sell older versions of these aesthetic devices. This makes it easier for their sales team to convince them to upgrade. In short, what can we help you with?\\\n\\\n1\\. Search our database of 1M+ SMBs and retailers to find where your competitors are selling. Review 1000+ store locators.\n\n![](https://slabstatic.com/prod/uploads/ufjq8g2k/posts/images/Q3Isz9DM3IAS26qVyaI7Pre1.gif)\n\n2\\. Get a list of high-quality retailers and SMB leads in seconds instead of days of manual research. Here’s an example of Openmart’s AI agent telling whether these bars have a jukebox or not. 😄\n\n![uploaded image](/media/?type=post&id=78559&key=user_uploads/1629158/de1d500a-676b-403f-836c-6c7d9033ff0b)\n\n## **Our ask**\n\n1. Share this post! Please help spread the word, as you never know who it may help. We appreciate the support and will always be grateful. ❤️\n2. Book a demo with us at [www.openmart.ai](http://www.openmart.ai)[.](http://www.openmart.ai/)\n3. Connect us with startup sales teams that are selling to small and medium-sized businesses, such as DTC/e-commerce stores, retail, and medical clinics.\n4. Quick blurb to copy & paste: _A team in Y Combinator's current batch can help you find SMB leads in sectors like e-commerce, retail, and medical establishments, and get you highly targeted leads in seconds. Check them out and contact [founders@openmart.ai](mailto:founders@openmart.ai) for more information._\n\nWe are [Richard](https://www.linkedin.com/in/yuchenghe/) and [Kathryn](https://www.linkedin.com/in/kathrynwoohoo/) and we're on a mission to make selling to SMBs easy using AI.",
        "url": "https://www.ycombinator.com/launches/KR5-openmart-get-highly-targeted-local-business-leads-using-ai",
        "votes": 209,
        "created_at": "2024-02-20T17:30:06.941Z"
      }
    ]
  },
  {
    "id": 29425,
    "name": "Zep AI",
    "slug": "zep-ai",
    "former_names": [
      "Zep Software",
      "Inc."
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/834036f2803ad1fb4cf8305e1be757592a8588a1.png",
    "website": "https://www.getzep.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Zep unifies business data, documents, and conversations into shared, governed context so agents can complete tasks correctly. Its Context Lake manages millions of Context Graphs as one system, with access controls, retention policies, source traceability, and audit logs. Teams use Zep to build enterprise context graphs, agent memory, and customer and account context. Zep retrieves context in under 200 milliseconds. Graphiti, Zep’s open source framework for temporal knowledge graphs, has more than 30,000 GitHub stars.",
    "one_liner": "The unified context layer for enterprise data",
    "team_size": 10,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1709681560,
    "tags": [
      "Developer Tools",
      "Infrastructure",
      "AI",
      "Conversational AI",
      "AI Assistant"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/zep-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/zep-ai.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/zep-ai/",
    "x_url": "https://twitter.com/zep_ai",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/zep-ai",
    "github_url": "https://github.com/getzep",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/834036f2803ad1fb4cf8305e1be757592a8588a1.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Garry Tan",
      "url": "https://www.ycombinator.com/people/garry-tan"
    },
    "founders": [
      {
        "user_id": 808515,
        "full_name": "Daniel Chalef",
        "title": "Founder/CEO",
        "founder_bio": "Founder, Zep AI. Engineer turned startup founder (previously KnowledgeTree) and late-stage operator (SparkPost acquired MessageBird), with detours as a Data Science, Marketing, and Corp Dev guy. \n\nStill an engineer at heart and have a soft spot for Go.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/danielchalef",
        "x_url": "https://twitter.com/danielchalef",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9dd4658ad4e97387766ac3f0a1ee51f1c59c048d.jpg"
      }
    ],
    "jobs": [
      {
        "id": 102880,
        "title": "Head of Forward Deployed Engineering",
        "url": "https://www.ycombinator.com/companies/zep-ai/jobs/mVon3qA-head-of-forward-deployed-engineering",
        "location": "San Francisco, CA, US / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$220K - $270K",
        "equity_range": "1.20% - 1.75%",
        "experience": "11+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Amazon Web Services (AWS)",
          "Go",
          "Kubernetes",
          "Python",
          "TypeScript",
          "Terraform",
          "AI Agents"
        ]
      },
      {
        "id": 105318,
        "title": "Member of Technical Staff: Research",
        "url": "https://www.ycombinator.com/companies/zep-ai/jobs/8YxqiAO-member-of-technical-staff-research",
        "location": "San Francisco, CA, US / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$180K - $250K",
        "equity_range": "1.00% - 1.50%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Amazon Web Services (AWS)",
          "Python",
          "Torch/PyTorch",
          "Machine Learning",
          "LLMs",
          "AI Agents"
        ]
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 83738,
        "title": "Graphiti by Zep AI : A library for building dynamic Knowledge Graphs",
        "tagline": "Accurate, Current Data for AI Agents",
        "body": "Hey! We're Paul, Preston, and Daniel from Zep AI. We've just [open-sourced Graphiti](https://git.new/graphiti), a Python library for building temporal Knowledge Graphs using LLMs.\n\n<https://youtu.be/sygRBjILDn8>\n\nGraphiti helps you create and query graphs that evolve over time. Think of a knowledge graph as a network of interconnected facts, such as _“Kendra loves Adidas shoes.”_ Each fact is a “triplet, represented by two entities, or nodes (_”Kendra,” “Adidas shoes”_), and their relationship, or edge (_”loves”_). Knowledge Graphs have been explored extensively for information retrieval. What makes Graphiti unique is its ability to autonomously build a knowledge graph while handling changing relationships and maintaining historical context.\n\nAt Zep, we build a [memory layer for LLM applications](https://www.getzep.com). Developers use Zep to recall relevant user information from past conversations without including the entire chat history in a prompt. Accurate context is crucial for LLM applications. If an AI agent doesn't remember that you've changed jobs or confuses the chronology of events, its responses can be jarring or irrelevant, or worse, inaccurate.\n\n# Zep’s Suboptimal Fact Pipeline\n\nBefore Graphiti, our approach to storing and retrieving user “memory” was, in effect, a specialized RAG pipeline. An LLM extracted “facts” from a user’s chat history. Semantic search, reranking, and other techniques then surfaced facts relevant to the current conversation back to a developer for inclusion in their prompt.\n\nUnfortunately, this approach became problematic. Reconciling facts from increasingly complex conversations challenged even frontier LLMs such as gpt-4o. We saw incomplete facts, poor recall, and hallucinations. Our RAG search also failed at times to capture the nuanced relationships between facts, leading to irrelevant or contradictory information being retrieved.\n\nWe tried fixing these issues with prompt optimization but saw diminishing returns on effort. We realized that a graph would help model a user’s complex world, potentially addressing these challenges.\n\n# Building Graphiti\n\nWe were intrigued by Microsoft’s GraphRAG, which expanded on RAG text chunking with a graph to better model a document corpus. However, it didn't solve our core problem: GraphRAG is designed for static documents and doesn't natively handle temporality.\n\n![uploaded image](/media/?type=post&id=83738&key=user_uploads/808515/db4712c7-1171-4115-ad7b-67896c754a65)\n\nSo, we built Graphiti, a [temporal Knowledge Graph](https://github.com/getzep/graphiti) library, which is designed from the ground up to handle constantly changing information, hybrid semantic and graph search, and scale:\n\n* **Temporal Awareness**: Tracks changes in facts and relationships over time. Graph edges include temporal metadata to record relationship lifecycles.\n* **Episodic Processing**: Ingests data as discrete episodes, maintaining data provenance and enabling incremental processing.\n* **Hybrid Search**: Semantic and BM25 full-text search, with the ability to rerank results by distance from a central node.\n* **Scalable**: Designed for large datasets, parallelizing LLM calls for batch processing while preserving event chronology.\n* **Varied Sources**: Ingests both unstructured text and structured data.\n\n# Getting Started\n\nGraphiti is open-source and available on GitHub: <https://git.new/graphiti>\n\nQuick Start: `pip install graphiti-core`\n\nWhile we developed Graphiti for our needs at Zep, we believe it could be useful for any application dealing with evolving, interconnected data, such as:\n\n* Personal AI assistants that need to maintain user context over time\n* Knowledge management systems for rapidly changing domains\n* Social network analysis tools\n* Financial systems tracking changing relationships and transactions\n\nIf you try, we'd love to hear your thoughts, questions, and experiences. Please also consider contributing!\n\n![uploaded image](/media/?type=post&id=83738&key=user_uploads/808515/3d306962-fad2-44fd-9232-862ddd961d0d)\n\n",
        "url": "https://www.ycombinator.com/launches/Lmc-graphiti-by-zep-ai-a-library-for-building-dynamic-knowledge-graphs",
        "votes": 19,
        "created_at": "2024-09-04T15:35:06.052Z"
      },
      {
        "id": 81733,
        "title": "Zep: Fast, accurate structured data extraction for AI assistant apps",
        "tagline": "10x faster than GPT-4o, with field format and validity guarantees.",
        "body": "Many business and consumer apps must extract structured data from conversations between an LLM-powered Assistant and a human user. Often, the extracted data is the objective of the conversation. Consider completing a sales order, making a reservation, or requesting leave. All of these tasks require progressively collecting data from the conversation.\n\nLatency and correctness are important. You will often want to identify the correct data values you have collected and those you still need. You’ll then prompt the LLM to request the latter.\n\n<https://youtu.be/k8e8NsoVzFo>\n\nIf you’re making multiple calls to an LLM to extract and validate data on every chat turn, you’re likely adding significant latency to your response. This can be a slow and inaccurate exercise, frustrating your users.\n\nZep’s new Structured Data Extraction feature is a low-latency, high-accuracy tool for extracting the data you need from Chat History stored in Zep's Long-term Memory service.\n\n> **Up to 10x faster than gpt-4o.** For many multi-field extraction tasks, you can **expect latency of under 400ms,** with the addition of fields increasing latency sub-linearly.\n\n## Comparing Zep with LLM JSON Mode\n\nMany model providers offer a JSON inference mode that guarantees the output will be well-formed JSON.\n\nHowever:\n\n* There are no guarantees that the field values will conform to the JSON Schema you define or that they are correct (vs. being hallucinated).\n* All fields are extracted in a single inference call, with additional fields adding linearly or greater to extraction latency.\n\n#### Preprocessing, Guided LLM Output, and Validation\n\nTo ensure that the extracted data is in the format you expect and is valid given the current dialog, Zep uses a combination of:\n\n* dialog preprocessing, which, amongst other things, improves accuracy for machine-transcribed dialogs;\n* using guided output inference techniques on LLMs running on our own infrastructure;\n* and post-inference validation.\n\nYou will not receive back data in an incorrect format when using a Zep field type such as email, zip code, or date time.\n\nWhile there are limits to the extraction accuracy when the conversation is very nuanced or ambiguous, carefully crafting field descriptions can achieve high accuracy in most cases.\n\n#### Up to 10x Faster than OpenAI gpt-4o\n\nWhen comparing like-to-like JSON Schema model extraction against gpt-4o, Zep is up to 10x faster.\n\n![uploaded image](/media/?type=post&id=81733&key=user_uploads/808515/7adc0720-a2ed-43d9-88ed-1bd883f819c7)\n\nZep's extraction latency scales sub-linearly with the number of fields in your model. That is, you may add additional fields with a low marginal increase in latency.\n\n## Support for Partial and Relative Dates\n\nZep understands various date and time formats, including relative times such as _“yesterday”_ or _“last week.”_ It can also parse partial dates and times, such as _“at 3pm”_ or _“on the 15th.”_\n\n## Extracting from Speech Transcripts\n\nZep can understand and extract data from machine-transcribed transcripts. Spelled-out numbers and dates will be parsed as if they were written language. Utterances such as “uh” or “um” are ignored.\n\n![uploaded image](/media/?type=post&id=81733&key=user_uploads/808515/8ab99f7f-0672-42dc-9d35-b06c37a33c7a)\n\n## Using Progressive Data Extraction To Guide LLMs\n\nYour application may need to collect several fields to accomplish a task. Since Zep's SDE is so fast, you can guide the LLM through this process by calling the extractor on every chat turn. This enables you to identify which fields are still needed and then direct the LLM to collect the remaining data.\n\n```\nYou have already collected the following data:\n- Company name: Acme Inc.\n- Lead name: John Doe\n- Lead email: john.doe@acme.com\n\nYou still need to collect the following data:\n- Lead phone number\n- Lead budget\n- Product name\n- Zip code\n\nDo not ask for all fields at once. Rather, work the fields \ninto your conversation with the user and gradually collect the data.\n```\n\n## Next Steps\n\n1. Learn more in the [Zep Structured Data Guide](https://help.getzep.com/structured-data-extraction).\n2. Sign up for Zep's [Long-term Memory Service for AI Assistants](https://www.getzep.com/).\n\n![uploaded image](/media/?type=post&id=81733&key=user_uploads/808515/0a1d48ed-3bde-4b77-b3e7-08ffe0fa3deb)\n\n",
        "url": "https://www.ycombinator.com/launches/LGH-zep-fast-accurate-structured-data-extraction-for-ai-assistant-apps",
        "votes": 17,
        "created_at": "2024-06-25T16:05:02.992Z"
      },
      {
        "id": 79302,
        "title": "Zep - Long-term memory for AI assistants",
        "tagline": "Build Assistants that know your users.",
        "body": "[Zep](https://www.getzep.com/) is the easiest way to add long-term memory to your AI Assistant. With Zep, you can recall, understand, and extract data from chat histories, enabling you to build rich, personalized experiences. \n\n**Sign up for the **[**Zep Cloud**](https://www.getzep.com/)** and get a Zep Bot T-Shirt when you go live!**\n\ntl;dr\n\n* Zep ensures your Assistant **remembers relevant facts and nuance** from historical conversations, no matter how distant in the past.\n* **Zep makes dialog useful**: Control program flow, extract structured data, select the right prompts or tools, build customer segments, and more.\n* **Fast**! Minimize the number of LLM calls keeping your users waiting. Zep completes tasks in a 1/10 of the time compared to similar functionality built with OpenAI.\n\n![uploaded image](/media/?type=post&id=79302&key=user_uploads/808515/c1ac513c-7ef4-4406-b98a-3e3b4ff94134)\n\n<https://www.youtube.com/watch?v=qVspUE_R-iI>\n\n**Zep In Action: The Amazing ShoeStoreBot**\n\nManaging sales, returns, and order inquiries is all in a day’s work for this hard-working ShoeStoreBot. It remembers past customers, their budgets, brand preferences, shoe size, and more.\n\n<https://www.youtube.com/watch?v=AC4VTqLYYhM>\n\n**Perpetual Memory:  Your Assistant will never forget a user.**\n\nAutomagically populate prompts with relevant facts and summaries extracted from past conversations, no matter how distant.\n\n![uploaded image](/media/?type=post&id=79302&key=user_uploads/808515/6672d796-e8c6-46de-9f65-53dcae5b54ea)\n\n**Dialog Classifier: Instantly and accurately understand chat dialog.**\n\nIdentify user intent, emotion, segmentation, and more. Control program flow with semantic context, using the right prompts, tools, and agents depending on the current dialog.\n\n![uploaded image](/media/?type=post&id=79302&key=user_uploads/808515/5967ab25-86e6-4526-8fc0-aba4c87c6c58)\n\n**Extract Structured Data from Dialog**\n\n![uploaded image](/media/?type=post&id=79302&key=user_uploads/808515/89656e21-5687-4d6d-a8b8-f4a728e19562)\n\nQuickly extract business data from chat conversations. Understand what your Assistant should ask for next to complete its task.\n\n**Support for Your Favorite Languages and Frameworks**\n\nAre you a Python, TypeScript, LangChain, LangChain.js, Chainlit, or FlowWise person? We got you covered.\n\n**The Zep Team**\n\nZep was founded by [Daniel](https://www.linkedin.com/in/danielchalef/) (hi!), who was recently joined by 2 engineers he worked with previously (Peter & Paul!). Daniel led ML at SparkPost (acquired by MessageBird), and previously founded KnowledgeTree (another popular open source project from the 2000s). Despite taking on marketing and corp dev roles in previous lives, he remains an engineer at heart.\n\nDaniel accidentally started Zep when he got frustrated that no delightful software existed to do what Zep does today. He built an early version and stuck it up on GitHub, and one thing led to another.",
        "url": "https://www.ycombinator.com/launches/Kd4-zep-long-term-memory-for-ai-assistants",
        "votes": 70,
        "created_at": "2024-03-12T13:34:56.206Z"
      }
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  {
    "id": 29431,
    "name": "Treblo",
    "slug": "treblo",
    "former_names": [
      "Sonauto"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/06f5522b7fa85084b0dbcbf4b215da1780123f6f.png",
    "website": "https://treblo.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Treblo is an AI music editor that turns prompts, lyrics, or melodies into full songs in any style. People use Treblo to have fun and express themselves, and some have even made Hot 100 hits.",
    "one_liner": "Create hit songs with AI",
    "team_size": 4,
    "industry": "Consumer",
    "subindustry": "Consumer -> Content",
    "launched_at": 1709836767,
    "tags": [
      "Generative AI",
      "Social Media",
      "Music",
      "AI"
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    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
      "Consumer",
      "Content"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/treblo",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/treblo.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/treblo-app",
    "x_url": "https://x.com/trebloapp",
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    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
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    "founders": [
      {
        "user_id": 564530,
        "full_name": "Ryan Tremblay",
        "title": "Founder",
        "founder_bio": "Studied Computer Science (focus: ML) and History (focus: authoritarian regimes) at Cornell. Previously, I worked on core engineering teams at early and growth stage AI and creator economy startups. My goal is to help people be more creative by making GPUs go brrr.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/ryan-tremblay-62429a86",
        "x_url": "https://twitter.com/zaptrem",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ad8872b2ab3f7b3d89b60d90e18ee0682823a6f2.jpg"
      },
      {
        "user_id": 1403520,
        "full_name": "Hayden Housen",
        "title": "Founder",
        "founder_bio": "Currently, building a platform to share AI generated music and researching AI song generation. Previously, a software engineering intern at Vocode (YC W23) and an intern on the Machine Learning Team at Ada.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/hhousen",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b7fc92b3708043568124634f955d3227262d6642.jpg"
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    "jobs": [
      {
        "id": 72033,
        "title": "ML Engineer/Researcher",
        "url": "https://www.ycombinator.com/companies/treblo/jobs/b34gnqK-ml-engineer-researcher",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$120K - $230K",
        "equity_range": "0.25% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
          "JavaScript",
          "Python",
          "React",
          "Torch/PyTorch"
        ]
      },
      {
        "id": 80519,
        "title": "Summer 2026 ML Engineer/Research Intern",
        "url": "https://www.ycombinator.com/companies/treblo/jobs/UQAJuQ8-summer-2026-ml-engineer-research-intern",
        "location": "San Francisco, CA, US",
        "type": "Internship",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$6K - $9K / monthly",
        "equity_range": "",
        "experience": null,
        "visa": "US citizen/visa only",
        "skills": [
          "JavaScript",
          "Python",
          "Torch/PyTorch",
          "Machine Learning",
          "CUDA",
          "GPU Programming"
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    ],
    "news": [],
    "launches": [
      {
        "id": 79178,
        "title": "Sonauto 🎸 Make hit songs with AI",
        "tagline": "Meet Sonauto, which turns prompts, lyrics, and melodies into full songs in seconds.",
        "body": "![uploaded image](/media/?type=post&id=79178&key=user_uploads/564530/4dc23bf4-4a7e-482d-bd25-06758a81c803)\n\n# \n\nTL;DR: Sonauto is an AI music editor that turns prompts, lyrics, melodies into full songs in any style. Try it now at <https://sonauto.ai/>\n\n# For example, in a few minutes with Sonauto you can:\n\n(Note: Use our website to hear the songs without YouTube compression)\n\n* Make a sick Y Combinator Power Metal Anthem:\\\n  <https://youtu.be/YcL_ZN7CT2c>\\\n  <https://sonauto.ai/songs/FuvpNr2ygG9qt6M2iLIm>\n* Or lament the \"Type 2 fun\" we founders love so much: \\\n  <https://youtu.be/NFSsA5P4OUw>\\\n  <https://sonauto.ai/songs/AyKLGaIFkNVPJnFFXDI1>\n* Or hear from a 60s rocker about the time he pivoted: \\\n  <https://youtu.be/rojTwM9oIIk>\\\n  <https://sonauto.ai/songs/sZGoGigGwtPlVk3yxwMC>\n* Or discover ChatGPT’s content policy: \\\n  <https://youtu.be/TLkRQIxLxpM>\\\n  <https://sonauto.ai/songs/NN1MrmdXL97Ui7t2UMir>\n\n# Team\n\nRyan graduated in December with CS and History degrees from Cornell, though was also nearing completion of an early masters program focusing on ML. He also spent a year and a half researching music AI on the side in collaboration with the HarmonAI (by Stability) and open source researchers.\n\nHayden was a Junior at Cornell until December. He was previously published at NeurIPS, the author of one of the first open source transformer summarization libraries, and support unicorn Ada's youngest ML engineer intern at eighteen.\n\n# Problem\n\nRecords, radio, digital, streaming, TikTok. The music industry is well acquainted with transformation. However, participation has remained exclusive throughout. The software and sound engineering skills necessary to produce music at the quality mainstream listeners expect remains out of the hands of millions of would be musicians. Accordingly, humanity is missing out on countless incredible songs and musical styles that could have been.\n\n# Product\n\nStarting today, everyone is a professional musician. Make your first song right now at <https://sonauto.ai/>!\n\nSonauto is training a music foundation model to allow you and musicians of any skill level to produce radio-quality songs with no prior knowledge. We're calling it Melodia.\n\nOur first release is a text-to-music service reminiscent of Midjourney, along with a sharing platform. You can enter a description of the musical and lyrical qualities of the music you're imagining and receive a fully-produced song in seconds, or keep editing for something even more special. In addition, you can share, comment on, and remix the creations of others.\n\n# Asks\n\n1. Make some songs at <https://sonauto.ai/> ! For example, you can make a song about:\n   1. Your S/O - makes for a great surprise gift!\n   2. Your pet\n   3. Your company, startup, or side project\n   4. A song for your friend/family member with an upcoming birthday\n2. Post lyrics videos (Editor → Share → Download → Video) of your favorite songs on X and ping us there @SonautoAI\n3. Let us know if any words (esp. technical terms) are consistently mispronounced. We can fix them very quickly once we're aware of them.",
        "url": "https://www.ycombinator.com/launches/Kb4-sonauto-make-hit-songs-with-ai",
        "votes": 0,
        "created_at": "2024-03-08T20:54:50.000Z"
      },
      {
        "id": 79179,
        "title": "Sonauto 🎸 Make hit songs with AI",
        "tagline": "Meet Sonauto, which turns prompts, lyrics, and melodies into full songs in seconds.",
        "body": "![uploaded image](/media/?type=post&id=79179&key=user_uploads/564530/4dc23bf4-4a7e-482d-bd25-06758a81c803)\n\n# \n\n# TL;DR: Sonauto is an AI music editor that turns prompts, lyrics, and melodies into full songs in any style. [Try it now](https://sonauto.ai/)!\n\n## January 2025 update: Here are some great songs from our v2 model…\n\n(Note: Use our website to hear the songs without YouTube compression)\n\n* How do you like me now?:\n\n  <https://www.youtube.com/watch?v=x9RCnyLZfb8>\n\n  <https://sonauto.ai/song/1acdb0f5-02e0-461a-8ccb-101fb40d5625>\n* Ghost in My Mind by whosthere:\n\n  <https://www.youtube.com/watch?v=_gUgoirAfGs>\n\n  <https://sonauto.ai/song/b3a356c1-6537-4b04-abe0-491321c80ceb>\n* When The Lines Are Drawn by gonesvan:\n\n  <https://youtu.be/Ggtgre4RY4g>\n\n  <https://sonauto.ai/song/d7ce5d91-342e-4c58-bdbe-dac7e6398417>\n\n## Team\n\n[Ryan](https://www.linkedin.com/in/ryan-tremblay-62429a86/) graduated in December with CS and History degrees from Cornell, though was also nearing completion of an early masters program focusing on ML. He also spent a year and a half researching music AI on the side in collaboration with the HarmonAI (by Stability) and open-source researchers.\n\n[Hayden](https://linkedin.com/in/hhousen) was a Junior at Cornell until December. He was previously published at NeurIPS, the author of one of the first open-source transformer summarization libraries, and support unicorn Ada's youngest ML engineer intern at eighteen.\n\n## Problem\n\nRecords, radio, digital, streaming, TikTok. The music industry is well acquainted with transformation. However, participation has remained exclusive throughout. The software and sound engineering skills necessary to produce music at the quality mainstream listeners expect remain out of the hands of millions of would-be musicians. Accordingly, humanity is missing out on countless incredible songs and musical styles that could have been.\n\n## Product\n\nStarting today, everyone is a professional musician. Make your first song right now at [https://sonauto.ai](https://sonauto.ai/)!\n\nSonauto is training a music foundation model to allow you and musicians of any skill level to produce radio-quality songs with no prior knowledge. We're calling it Melodia.\n\nOur first release is a text-to-music service reminiscent of Midjourney, along with a sharing platform. You can enter a description of the musical and lyrical qualities of the music you're imagining and receive a fully-produced song in seconds, or keep editing for something even more special. In addition, you can share, comment on, and remix the creations of others.\n\n## Asks\n\n1. Make some songs at [https://sonauto.ai](https://sonauto.ai/)! For example, you can make a song about:\n   1. Your S/O - makes for a great surprise gift!\n   2. Your pet\n   3. Your company, startup, or side project\n   4. A song for your friend/family member with an upcoming birthday\n2. Post lyrics videos (Editor → Share → Download → Video) of your favorite songs on X and ping us there @SonautoAI\n3. Let us know if any words (esp. technical terms) are consistently mispronounced. We can fix them very quickly once we're aware of them.",
        "url": "https://www.ycombinator.com/launches/Kb5-sonauto-make-hit-songs-with-ai",
        "votes": 94,
        "created_at": "2024-03-07T20:00:48.344Z"
      }
    ]
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  {
    "id": 29434,
    "name": "Stacksync",
    "slug": "stacksync",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/86069ba7639f52c1874bb95448db4e4cd2310e5e.png",
    "website": "https://www.stacksync.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Stacksync powers real-time and bidirectional data synchronization between CRMs (e.g. Salesforce, Hubspot or SAP) and databases (e.g. Postgres, Google BigQuery,...). Edits made in your CRM will instantly update in your Database, and vice-versa. To set up a sync, users simply have to connect the two chosen apps in one click and select the tables they want to sync, no-code!\r\nStacksync reduces implementation delays from months to minutes for CRM integration projects and removes all the complexity behind CRM new feature development. We show a 90% improvement on delivery time and budget.",
    "one_liner": "Real-time and two-way sync between CRMs and Databases",
    "team_size": 34,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1702317253,
    "tags": [],
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
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    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/stacksync",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/stacksync.json",
    "year_founded": 2022,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/stacksyncdata/",
    "x_url": "https://twitter.com/stacksyncdata",
    "fb_url": "https://www.facebook.com/stacksyncdata",
    "cb_url": "https://www.crunchbase.com/organization/stacksync",
    "github_url": "https://github.com/stacksyncdata",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/86069ba7639f52c1874bb95448db4e4cd2310e5e.png",
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    "founders": [
      {
        "user_id": 1327024,
        "full_name": "Ruben Burdin",
        "title": "Founder/CEO",
        "founder_bio": "Data movement, CRM and ERP. Currently redefining Enterprise systems integration.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/ruben-burdin",
        "x_url": "https://twitter.com/BurdinRuben",
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      },
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        "user_id": 1685532,
        "full_name": "Alexis Favre",
        "title": "Founder/CTO",
        "founder_bio": "Building the future of Data Movement! (and baking delicious french bakeries ;)",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/favre-alexis",
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    "jobs": [
      {
        "id": 94667,
        "title": "Full-Cycle Forward Deployed Sales Engineer - The Closer of All Closers!",
        "url": "https://www.ycombinator.com/companies/stacksync/jobs/hG4YjnL-full-cycle-forward-deployed-sales-engineer-the-closer-of-all-closers",
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        "url": "https://www.ycombinator.com/companies/stacksync/jobs/2I6rI5E-forward-deployed-engineer-product-engineer",
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        "title": "Stacksync on the rise",
        "url": "https://www.startupticker.ch/en/news/stacksync-on-the-rise?utm_source=newsletter586&utm_medium=email&utm_campaign=newsletter586",
        "date": "Jan 26, 2024"
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        "title": "CES 2024: Swiss delegation braces for Las Vegas",
        "url": "https://www.startupticker.ch/en/news/ces-2024-swiss-delegation-braces-for-las-vegas",
        "date": "Jan 05, 2024"
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        "id": 77196,
        "title": "Stacksync: Real-time and two-way sync between CRMs and Databases",
        "tagline": "READ and WRITE your CRM data with SQL queries!",
        "body": "Hey everyone! We’re [**Ruben**](https://bookface.ycombinator.com/user/1327024) and [**Alexis**](https://bookface.ycombinator.com/user/1685532) from [**Stacksync**](https://www.stacksync.cloud/), here to help you forget about complex CRM APIs. 👋\n\n\\*\\*TL;DR \\*\\* [**Stacksync**](https://www.stacksync.cloud/) powers real-time and two-way sync between CRMs and databases. With two-way sync, we turn your database into a **READ AND WRITE** interface to your CRM data. From your database, _make SQL queries to update data at any scale_ and your CRM will reflect these changes instantly. And vice-versa, when you update data in your CRM, your database is immediately updated.\n\nTry it yourself and [**get started here!**](https://www.stacksync.cloud/)\n\n![uploaded image](/media/?type=post&id=77196&key=user_uploads/1327024/63cc74de-7bec-4caa-8d25-a1a6f6d902d8)\n\n**💥 Problem**\n\nDevelopers hate using CRM APIs. Their documentation is hard to navigate, with multiple edge cases and data inconsistencies have severe business consequences. This makes CRM integration complex, time consuming and costly. Worse, business teams working daily in CRMs are left with outdated or no data at all, while the data insights they need are just available in the database: it simply requires too much investment in development and maintenance.\n\n**✅ Solution**\n\nWith two-way sync, we turn your database into a read+write interface to your CRM. So instead of reading and writing data from an API, just do it with SQL queries in the database that you already know and love. Whenever data is updated in your database, it instantly syncs to your CRM and vice-versa.\n\nStacksync is different because it is the first tool that delivers consistent data you can trust in real-time. Stacksync just works. The setup is done in less than 5 minutes, without a single line of code.\n\n[Watch demo here: https://www.youtube.com/watch?v=XrigWqlSQnQ](https://www.youtube.com/watch?v=XrigWqlSQnQ)\n\n**🪄 How it works**\n\nNo-code makes it easy. Start by [**creating your account**](https://www.stacksync.cloud/) for free, then\n\n1. Connect your Apps\n\n   ![uploaded image](/media/?type=post&id=77196&key=user_uploads/1327024/ce17348d-2078-4dea-9170-0a1320b6665c)\n\n2. Choose which tables your want to sync\n\n   ![uploaded image](/media/?type=post&id=77196&key=user_uploads/1327024/4532ea18-a1da-44cc-8855-9bd694d36f3c)\n\n3. Map your fields\n\n   ![uploaded image](/media/?type=post&id=77196&key=user_uploads/1327024/f1778ed4-16ad-46cd-865a-a9a5939efee3)\n\n\nThat’s it! 🎉\n\n**💰 Pricing**\n\nSimple CRM integrations start at 200$/month, and you can upgrade on a pay-as-you-go for large data volumes.\n\nYC Companies get a [**Deal (80% discount for a year, worth 120k free credits)**](https://bookface.ycombinator.com/deals/2173)!\n\n**💜 Our Ask**\n\nTry it yourself and [**get started here**](https://www.stacksync.cloud/)\n\n* Schedule a call if you’re interested: [cal.com/rubenburdin](https://cal.com/rubenburdin/30min)\n* Share with anyone that you think could benefit from simpler CRM integration (warm intros are welcome!) 😉\n* We would appreciate any candid feedback!\n* Need a feature or connector? Let us build it for you here and now!\n\nIf you have any questions, feel free to reach out to my personal email [ruben@stacksync.cloud](https://ruben@stacksync.cloud)\n\n![uploaded image](/media/?type=post&id=77196&key=user_uploads/1327024/29d754ee-4784-43a2-b5be-0037e98cbf97)\n\n",
        "url": "https://www.ycombinator.com/launches/K56-stacksync-real-time-and-two-way-sync-between-crms-and-databases",
        "votes": 45,
        "created_at": "2024-01-03T11:13:29.045Z"
      }
    ]
  },
  {
    "id": 29435,
    "name": "Terrakotta",
    "slug": "terrakotta",
    "former_names": [
      "Brandylion"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a8ceeed787c0ebb6661ae290d9ff3759225bddaa.png",
    "website": "https://www.terrakotta.ai/",
    "all_locations": "Seattle, WA, USA",
    "long_description": "Terrakotta is a power-dialer that lets sales reps leave AI-generated voicemails.  Our first customers are Commercial Real Estate brokerages that use Terrakotta to clone their brokers voices, dial prospects and when no one answers, leave an A/B tested, personalized voicemail that gets a callback.",
    "one_liner": "AI platform for phone-first sellers",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Sales",
    "launched_at": 1704332820,
    "tags": [
      "Real Estate",
      "Sales",
      "Telecommunications",
      "Home Services",
      "Conversational AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
      "B2B",
      "Sales"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/terrakotta",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/terrakotta.json",
    "year_founded": 2023,
    "city": "Seattle",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/terrakotta-ai/about/",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a8ceeed787c0ebb6661ae290d9ff3759225bddaa.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
    },
    "founders": [
      {
        "user_id": 1032568,
        "full_name": "Vincent Wilson",
        "title": "Founder/CEO",
        "founder_bio": "CEO @ Terrakotta. Vincent studied CS at the University of Washington and was an incoming FDSE at Palantir before he dropped out to found Terrakotta.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/vincent-wilson-5105141b7",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/952319da3e9c9664e3b4ba12465b39eb495ebd36.jpg"
      },
      {
        "user_id": 1644932,
        "full_name": "Kusiima Boswell",
        "title": "Founder/CPO",
        "founder_bio": "Kusiima is the co-founder and COO of Terrakotta. Before Terrakotta, he studied business and CS at the University of Pennsylvania (Wharton & Penn Engineering). In his senior year, Kusiima built and trained a ML model that correctly predicted stock price increases/decreases with 65% accuracy. After Penn, Kusiima joined McKinsey & Company where he wrote custom data solutions for $10B+ technology companies, worked directly with execs to create GTM strategies, and led private equity due diligence.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/kusiimaboswell/",
        "x_url": "https://x.com/kusiimaboswell",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/de12147c27b7619c3abc11025397e67a9cd4c53c.jpg"
      },
      {
        "user_id": 1233521,
        "full_name": "Gabriel Wilson",
        "title": "Founder/CTO",
        "founder_bio": "I'm one of the founders of Terrakotta. Before building Terrakotta, I was obsessed with scaling peer to peer networks. By day, I was a SWE at Lyft where I wrote code that powered millions of rides and by night I built StoreStash a profitable gig economy storage platform. Now I'm all in on AI voice because our sales engagement platform will connect millions of people with the right message at the right time.\n\n",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/gabriel-wilson-2b480914b",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6b6b33d02a1d3e8ecc1e26db8d7865260e3f0e0f.jpg"
      }
    ],
    "jobs": [
      {
        "id": 77038,
        "title": "Senior Full-Stack Engineer",
        "url": "https://www.ycombinator.com/companies/terrakotta/jobs/rYDqZJs-senior-full-stack-engineer",
        "location": "Seattle, WA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$130K - $160K",
        "equity_range": "0.25% - 0.50%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Python",
          "React"
        ]
      },
      {
        "id": 78788,
        "title": "Founding Sales Development Representative",
        "url": "https://www.ycombinator.com/companies/terrakotta/jobs/Hqp77TT-founding-sales-development-representative",
        "location": "Seattle, WA, US / Los Angeles, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$65K - $95K",
        "equity_range": "0.05% - 0.10%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 85536,
        "title": "Software Engineer (Product, New Grad)",
        "url": "https://www.ycombinator.com/companies/terrakotta/jobs/xl27Ohw-software-engineer-product-new-grad",
        "location": "Seattle, WA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$130K - $150K",
        "equity_range": "0.05% - 0.10%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 94328,
        "title": "Full Cycle AE",
        "url": "https://www.ycombinator.com/companies/terrakotta/jobs/bJuTBEu-full-cycle-ae",
        "location": "Los Angeles, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$100K - $140K",
        "equity_range": "0.05% - 0.10%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 79253,
        "title": "Terrakotta: Add voice as a channel to grow your business 🗣️",
        "tagline": "AI web-phone designed for cold outreach",
        "body": "TL;DR: [Terrakotta](https://www.terrakotta.ai/) is a web-phone that uses personalized AI voicemails to double the number of contacts you can engage over the phone. Voicemails left using Terrakotta are personalized to every contact and generate more callbacks than generic scripts.\n\n![uploaded image](/media/?type=post&id=79253&key=user_uploads/1032568/e407487e-18cb-4c20-b6ba-0c2257e42252)\n\n👋Hey Everyone! We’re Kus, Vincent, and Gabe (from left to right) and we are the founders of Terrakotta. Terrakotta lets users leverage their unique voice (yes, their literal voice) to grow their business. We’re calling it ‘voice nurture’.\n\n**Problem**\n\nVoicemail is a great growth channel to generate interest and callbacks from leads, but historically it hasn’t scaled well. Leaving voicemails during call sessions is: \n\n* Time-consuming\n* Repetitive\n* Tiring\n\n \n\n**Solution: ☎️⚡️Here’s what a call session looks like in Terrakotta⚡️☎️**\n\nWith Terrakotta users can clone their voice, load up a contact list, and set a dynamic AI voicemail script that will be personalized for unanswered calls. From there, users can flip on the auto-dial feature and zoom through their call list, reaching up to 100 contacts/hour.\n\n![](https://lh7-us.googleusercontent.com/BPwVoxEx28ZdtBWjg-vbJvTtJ3SncmfG5Y2vNv-DYP0X7qPheGSAbrc5TMvgnmDEt2N_oyJtj8d5GCCZQyDy5yPi3n_qB6dmfGEwooFBt4v1-97h87uaAX-X0-Ktx6i3VLfrnLYdDic7lzURlNuhyxs)\n\n_(Don’t worry: the contacts are not real people; the phone numbers are our many test lines)_\n\n**About the squad**\n\n* [**Vincent**](https://linkedin.com/in/vincent-wilson-5105141b7) was an incoming Software Engineer at Palantir before dropping out of college to found Terrakotta.\n* [**Kus**](https://www.linkedin.com/in/kusiima-boswell-84a1a5151) was a Senior Analyst at McKinsey where he wrote custom data solutions and advised principal investors / GTM execs on strategy. \n* [**Gabe**](https://linkedin.com/in/gabriel-wilson-2b480914b) was a software engineer for Lyft Business and Human Interest (S15).\n\n \n\nWe (strangely) have lots of friends in commercial real estate, and the number one thing they complain about is making outbound phone calls. We’re using our experience with software development and GTM in different contexts to take on this problem in commercial real estate and prove the ability of voice nurture as a growth channel.\n\n**Our asks**\n\n* **If you’re making lots of cold calls and want to do it more efficiently** - try it out!: <https://www.terrakotta.ai/>\n* **Get in touch with us** **if you’re looking for new channels** like voicemail to grow your business\n* **Give us feedback on what you think of the voice-cloning feature - how accurate do you think it is?**\n\n[Email us](mailto:vincent@terrakotta.ai) if you want to check it out.\n\nOr schedule a demo here \n\nThanks for reading!",
        "url": "https://www.ycombinator.com/launches/KcH-terrakotta-add-voice-as-a-channel-to-grow-your-business",
        "votes": 25,
        "created_at": "2024-03-11T14:19:47.987Z"
      }
    ]
  },
  {
    "id": 29438,
    "name": "Spark",
    "slug": "spark",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/334553fe55450cd0888b7e50f8918d05c8491633.png",
    "website": "https://www.sparkhq.ai",
    "all_locations": "",
    "long_description": "Spark AI is workflow software for solar, storage, and data center developers. We've reviewed and identified over 1 million zoning, permitting, and project-related documents in nearly every jurisdiction in America, so that you can instantly identify project requirements, local sentiment, and fatal flaws in seconds.\r\n\r\nWe’re trusted by dozens of industry-leading developers representing over 90 gigawatts of project pipeline and $30 billion in financing. Our team combines leadership experience from AI and energy (Microsoft, Apple, Department of Energy, Brex).",
    "one_liner": "AI-powered workflows for energy infrastructure",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1708060326,
    "tags": [
      "Energy Storage",
      "Solar Power",
      "Climate",
      "Energy",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "Unspecified"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/spark",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/spark.json",
    "year_founded": 2023,
    "city": null,
    "country": null,
    "linkedin_url": "https://www.linkedin.com/company/sparkhqai/",
    "x_url": "",
    "fb_url": null,
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/334553fe55450cd0888b7e50f8918d05c8491633.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
    },
    "founders": [
      {
        "user_id": 129719,
        "full_name": "Julia Wu",
        "title": "Founder/CEO",
        "founder_bio": "Julia is the co-founder and CEO of Spark, an AI-powered permitting and workflow solution for energy infrastructure.\nBefore Spark, Julia was an engineering manager and early engineer at Brex, where she led teams like Card Fraud, Growth, and Rewards. She was also an engineer at Apple Siri and Microsoft Azure. Julia studied computer science & economics at Brown, speaks 3 languages natively, and grew up between Brazil and China. ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/wu-julia",
        "x_url": "https://twitter.com/thejuliawu",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/501f44c67d39cc1704ab75dc29ae432b76a7c8f6.jpg"
      },
      {
        "user_id": 307611,
        "full_name": "Anuj Saigal",
        "title": "Founder",
        "founder_bio": "Anuj Saigal is co-founder of Spark AI. He spent a decade building energy infrastructure at SunEdison, EVgo, and the Department of Energy before building the permitting tool he always needed. Previously CEO of Dataherald (YC W21), revenue lead at Nauto. Northwestern Kellogg MBA, UC Berkeley Economics.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/anujsaigal/",
        "x_url": "https://twitter.com/anujsaigal",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/99447abf3ba3ae61c31f64ca7288dc0d823ccf3d.jpg"
      }
    ],
    "jobs": [
      {
        "id": 73632,
        "title": "Software Engineer, Full Stack - Founding Team",
        "url": "https://www.ycombinator.com/companies/spark/jobs/kDeJlPK-software-engineer-full-stack-founding-team",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$150K - $200K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": [
          "Node.js",
          "PostgreSQL",
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          "Next.js"
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      },
      {
        "id": 86218,
        "title": "Growth + Operations (BizOps) Associate / Manager",
        "url": "https://www.ycombinator.com/companies/spark/jobs/UKGQ0Fd-growth-operations-bizops-associate-manager",
        "location": "San Francisco, CA, US / Los Angeles, CA, US / Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$70K - $150K",
        "equity_range": "",
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        "visa": "US citizen/visa only",
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    "launches": [
      {
        "id": 113436,
        "title": "Spark AI: Stakeholder Intelligence for Data Center Permitting",
        "tagline": "See who decides your permit, and how they'll vote, before you break ground",
        "body": "Hi everyone, we're [Julia](https://www.linkedin.com/in/wu-julia/) and [Anuj](https://www.linkedin.com/in/anujsaigal/), co-founders of [Spark AI](https://www.sparkhq.ai/).\n\n### **TL;DR**\n\nSee who decides your permit, and how they'll vote, before you break ground\n\nEvery data center in America has to get through a local zoning board before it gets built. We mapped and tracked every jurisdiction, project, and land use regulation in the country, and we just launched Stakeholder Intelligence, a tool that tells you who's deciding your permit, their voting history, and what's likely to happen next. **If you're developing (or powering) data centers, or know someone who is, we want to talk.**\n\n### ❌ The Problem\n\nData centers land next to real communities: people who didn't ask for a giant, humming building showing up in their backyard. A lot of them fight it.\n\nThat fight runs entirely through local politics: county boards, township councils, zoning authorities. Real people with real voting histories, some of whom love solar and hate data centers, some the reverse, and it shifts constantly.\n\n* Data centers are having the roughest time of any large-scale asset class right now. 42% of gigawatt-scale data center projects announced in 2025 have already run into a local moratorium, suspension, legal challenge, or permit denial. That's not an edge case anymore, it's closer to a 50/50 bet.\n* And it's accelerating. Within six months of announcement, \\~24% hit that same wall in 2025, nearly triple 2024's rate (8%) and more than triple 2023's (7%).\n\nFederal and state policy get all the coverage. But the actual bottleneck on AI compute buildout sits in a Tuesday night meeting in a county most people can't find on a map, and almost nobody tracks it systematically. Developers either fly someone out to sit through hours of public comment, or they pay consultants a lot of money to tell them what already happened last month.\n\n### ✅ How Spark Works: Stakeholder Intelligence\n\nStakeholder intelligence surfaces every board member, commissioner, officer’s past decisions, meetings and votes from our databases and web search agents running across the country.\n\n<https://youtu.be/-YclcbrBUh8>\n\n**We watch the game tape for you.** For every authority in the US, you get the meeting video, the transcript, the decision, and our summary of what actually mattered. Topics covered, who said what, what got decided. What used to take someone three hours of watching public comment now takes about thirty seconds of reading.\n\n![uploaded image](/media/?type=post&id=113436&key=user_uploads/307611/076af213-dd78-4d58-acf8-c249244260cb)\n\n**NIMBY tracking.** We score every county in the country on data center permitting posture: moratoriums, zoning rules, sentiment grounded in local news coverage, and utility interconnection posture. That rolls into a tier and a score, so you know before you sign a lease whether you're walking into a fight.\n\n![uploaded image](/media/?type=post&id=113436&key=user_uploads/307611/21ab4ec3-c751-4de6-845a-2cef9e732d7c)\n\n**Alerts.** Ordinances change, moratoriums get proposed, projects move. We tell you when it happens instead of you finding out from a headline.\n\n### Backstory\n\nJulia grew up in and around factories, in the supply chain corridor between Asia and Latin America, before building data and search infrastructure for Apple's Siri team. Anuj spent a decade financing and building energy infrastructure, at the Department of Energy, SunEdison, and EVgo, before founding his last company, Dataherald (YC W21).\n\n![uploaded image](/media/?type=post&id=113436&key=user_uploads/307611/870f82a4-1496-4bc2-b433-a69d13c8ea24)\n\n### Who We Work With\n\nAlphabet (Intersect), NextEra, DE Shaw Renewables, Nodiac, and a set of world class developers and Fortune 500s carrying over 200GW of pipeline between them.\n\n### How You Can Help\n\nIf you or anyone in your network is developing data centers, large or small, we want the intro. We're especially trying to connect with people close to Terawulf, Vantage, Equinix, CyrusOne, and Digital Realty.\n\nReach us at [founders@sparkhq.ai](mailto:founders@sparkhq.ai). Or happy to jump on a call: [**calendar link**](https://calendly.com/d/cyty-zwg-3bb).",
        "url": "https://www.ycombinator.com/launches/TVc-spark-ai-stakeholder-intelligence-for-data-center-permitting",
        "votes": 8,
        "created_at": "2026-09-02T16:01:00.565Z"
      },
      {
        "id": 96116,
        "title": "Spark: Permitting Intelligence for AI Infrastructure",
        "tagline": "Spark helps energy infrastructure developers cut through permitting red tape",
        "body": "### TL;DR\n\nWith [Spark AI](https://www.sparkhq.ai/), developers can instantly identify permitting requirements and fatal flaws in seconds, not weeks.\n\nWe have parsed more than 1 million zoning, permitting, town hall meetings, and project documents. Our systems ingest PDFs, maps, land use codes, moratoria, interconnection queues, and local websites across thousands of jurisdictions.\n\n### Permitting is the silent killer of energy infrastructure projects\n\nAn estimated $98 billion in projects were [blocked or delayed](https://www.datacenterwatch.org) in Q2 2025. A one-month delay on a 60 MW data center can [erase $10M in value](https://www.foresight.works/case-study/foresight-driving-projects-blind). Speed to power determines who wins in data center, storage, and generation.\n\nCritical information lives inside thousands of scattered, inconsistent zoning codes, permits, and local records. Teams miss high-potential sites, waste months on weak ones, and get outpaced by competitors.\n\n![uploaded image](/media/?type=post&id=96116&key=user_uploads/129719/ac5a347e-6cae-406e-8867-a98f5d8cd5ba)\n\n### Enter Spark: De-risking Speed to Power\n\nSpark pulls everything into one place and makes permitting intelligence instant.\n\nSpark scans millions of PDFs, maps, land use codes, and local websites to surface permitting rules and community sentiment. What used to take weeks now takes seconds. The same engine evaluates individual parcels or entire data rooms.\n\nhttps://youtu.be/6wvFwUNPrks\n\n**Rapid Permit Matrix 📄**\n\nWe run the permitting gauntlet for hyperscalers, energy developers, and BESS operators at a fraction of the cost and time.\n\nSpark generates a complete permit matrix that captures the legal, procedural, and social landscape of any site. Developers move faster on strong sites and eliminate weak ones early.\n\n![uploaded image](/media/?type=post&id=96116&key=user_uploads/129719/867df1aa-ea4b-4b25-96a1-003942873b64)\n\n**Social Media Sentiment 👥**\n\nLocal opposition begins online long before public hearings. Grassroots groups and Facebook communities shape the approval landscape months in advance.\n\nSpark tracks social media activity across every U.S. county for solar, storage, and data center projects. Users identify relevant groups, engagement patterns, and sentiment before the first meeting hits the calendar.\n\n![uploaded image](/media/?type=post&id=96116&key=user_uploads/129719/75434906-6ad4-48ab-83f0-4740c6350b2b)\n\nDon’t just take it from us: We’re trusted by dozens of industry-leading developers representing over 90 gigawatts of project pipeline and $30 billion in financing: Cypress Creek Renewables, Standard Solar, Arevon, UGE ([case study](https://sparknotes.beehiiv.com/p/from-bottleneck-to-breakthrough)), DESRI, Dynamic Energy ([case study](https://sparknotes.beehiiv.com/p/dynamic-energy)), and many others.\n\n### Core Team\n\nOur founding team, [Julia Wu](https://www.linkedin.com/in/wu-julia/), [Anuj Saigal](https://www.linkedin.com/in/anujsaigal/?utm_source=sparknotes.beehiiv.com&utm_medium=referral&utm_campaign=ai-for-a-mission-recruiting-post), [Luca Marturana](https://www.linkedin.com/in/lucamarturana/?utm_source=sparknotes.beehiiv.com&utm_medium=referral&utm_campaign=ai-for-a-mission-recruiting-post), [Wendell Beane](https://www.linkedin.com/in/wendell-beane-21861712b/), [Shivam Agarwal](https://www.linkedin.com/in/shivam-agarwal-77604ab8/), combines years of leadership in AI and energy.\n\nWe come from Apple, Microsoft, SunEdison, the Department of Energy, and multiple YC startups.\n\n### Our Ask\n\nWe’re partnering with developers and operators building the future of compute and energy. If that’s you, we’d love to chat! [**Book a demo here**](https://calendly.com/d/4qp-yyt-qxw/spark-ai-demo)**, or reach out to [founders@sparkhq.ai](mailto:founders@sparkhq.ai)**\n\nWe are hiring across [operations/growth](https://www.ycombinator.com/companies/spark/jobs/UKGQ0Fd-spark-ai-growth-and-operations-associate-manager) and [engineering](https://www.ycombinator.com/companies/spark/jobs/kDeJlPK-software-engineer-full-stack-founding-team)! If this mission sounds exciting to you or someone you know, reach out to [hiring@sparkhq.ai](mailto:hiring@sparkhq.ai)\n\n![uploaded image](/media/?type=post&id=96116&key=user_uploads/129719/45f5786b-f5fb-45ab-85a2-f2e05768bb19)\n\n",
        "url": "https://www.ycombinator.com/launches/P0G-spark-permitting-intelligence-for-ai-infrastructure",
        "votes": 13,
        "created_at": "2025-12-10T19:23:49.741Z"
      },
      {
        "id": 78596,
        "title": "⚡️ Spark - AI-powered workflows for large-scale clean energy development",
        "tagline": "We help large-scale clean energy developers break ground faster",
        "body": "**😎 TL;DR**\n\n[Spark](https://www.sparkhq.ai/) is an AI-powered planning and workflow tool for large-scale clean energy developers that lets them break ground faster. Tae and Julia were previously engineering and product leaders at Tesla, Apple, and Brex.\n\nWe are trusted by award-winning solar and battery developers with nearly 1 GW of projects across the US. If you are a utility or community-scale developer, [book a call with us](https://calendly.com/d/4qp-yyt-qxw/spark-demo) to learn more.\n\n![uploaded image](/media/?type=post&id=78596&key=user_uploads/129719/b48282f6-7002-4eba-92e9-dc5307a6c58e)\n\n**🔌 The Problem**\n\nWe are in the midst of a generational energy transition, with solar deployment expanding at an annualized rate of roughly [$500B](https://twitter.com/patrickc/status/1698496805162353029) globally, and the Inflation Reduction Act unleashing another [$400B](https://www.mckinsey.com/industries/public-sector/our-insights/the-inflation-reduction-act-heres-whats-in-it) in federal funding. To meet the soaring demand for clean energy, the US must [build](https://www.motherjones.com/environment/2023/04/electrify-everything-scope-data/) an equivalent amount of clean generation by 2035 to the total electricity supplied by all sources today.\n\nDespite this rapid deployment, utility-scale clean energy developers often spend months assessing and preparing their projects for financing and construction due to varying policies, interconnection, and permitting requirements across jurisdictions. This pre-construction phase is an error-prone and manual effort of researching and aggregating data across thousands of PDFs, websites, and maps.\n\nMany developers find themselves poring over 1000-page documents, engaging expensive consultants, or focusing on a limited number of jurisdictions.\n\nThrough hundreds of conversations with developers, we consistently hear that navigating this \"complex patchwork of jurisdictions, where every state is a snowflake,\" is a major obstacle.\n\n**✨ Enter Spark**\n\nWith Spark, developers can identify requirements, risks, and incentives by leveraging our curated dataset. They can now screen prospective projects in seconds, not weeks.\n\nFor the first time, Large Language Models (LLMs) offer a dramatically simplified method to extract grid interconnection and permitting requirements, zoning ordinances, economics (rates, tax credits, RECs), and a range of unstructured information relevant to renewables development.\n\nBy refining the data specifically for this industry, Spark introduces a new way for developers to navigate through otherwise disparate and cumbersome information.\n\n![uploaded image](/media/?type=post&id=78596&key=user_uploads/295458/976413d4-584e-44fd-8c6e-315509d4c9de)\n\nThese insights are then precisely mapped to individual counties and parcels of land, accelerating the development process significantly.\n\nHowever, Spark’s capabilities extend beyond location diligence and requirement aggregation. Our goal is to re-imagine the development workflow, enabling developers to drastically reduce the time dedicated to mundane tasks such as research, documentation, and portfolio management.\n\n![uploaded image](/media/?type=post&id=78596&key=user_uploads/129719/550c9a08-294e-4944-9369-649919faca48)\n\nOne of our customers, an industry veteran with nearly 20 years of experience, said “I see this tool as my Jarvis.”\n\nOur mission is to empower developers to prioritize human interactions and make strategic decisions about where to invest millions of dollars to electrify the nation’s grid — not the manual, back office work.\n\n[🪄](mailto:founders@sparkhq.ai) **The (Dream) Team**\n\n[Tae](https://www.linkedin.com/in/taehnkim/) built software while sitting inside the Model 3 factory at Tesla, wrote payment systems that processed millions in EV sales as a founding engineer at Lucid Motors’ commerce team, and helped Gen Z find love at Tinder.\n\n[Julia](https://www.linkedin.com/in/wu-julia/) was an engineering manager on the team that automated fraud alerts and dispute filing at Brex. She also built search and cloud infrastructure at Apple and Microsoft and bankrolled her passion for crypto through hackathon prizes on nights and weekends.\n\nHailing from São Paulo, Brazil, where we lived ten minutes apart after our parents immigrated from Korea and China, we embarked on our American dream at 18 for undergraduate degrees in STEM at Georgia Tech and Brown University. Our paths crossed many years later in New York City, through a shared passion for software engineering, infrastructure for society, and startups.\n\n**⚡️ Energized yet?**\n\nAre you (or do you know) a developer of utility or community-scale solar/storage projects? [Book a demo](https://calendly.com/d/4qp-yyt-qxw/spark-demo) or reach out to [founders@sparkhq.ai!](mailto:founders@sparkhq.ai)",
        "url": "https://www.ycombinator.com/launches/KRg-spark-ai-powered-workflows-for-large-scale-clean-energy-development",
        "votes": 58,
        "created_at": "2024-02-21T16:41:20.744Z"
      },
      {
        "id": 77503,
        "title": "Dataherald - NL-to-SQL API for developers",
        "tagline": "Embed NL-to-SQL into your product",
        "body": "**TL;DR**\n\nDataherald enables you to embed Natural Language to SQL (“NL-to-SQL”) into your product. The NL-to-SQL API, built with an LLM (such as GPT), allows users to conduct no-code data analytics, pull reports, and conduct complex data queries using just natural language.\n\nHi, we’re [Amir](https://www.linkedin.com/in/amir-zohrenejad-72a517184/) and [Anuj](https://www.linkedin.com/in/anujsaigal/) from [Dataherald](https://www.dataherald.com/contact). There have been countless game-changing applications of AI, but one area that has remained uncharted is NL-to-SQL. But fear not - we’re changing that. We’ve built a cutting-edge NL-to-SQL engine, meticulously crafted to be the fastest and most accurate in the market, delivering an unmatched developer experience!\n\n**The Problem**\n\nDevelopers struggle to build NL-to-SQL into products because LLMs do not work out-of-the-box. LLMs do not:\n\n1. Utilize metadata and business definitions since they are not already stored in the relational database\n2. Conduct **complex** SQL queries, such as self joins, multiple sub-queries, or rarer operations like windowing, partitioning, lags, temporal calculations, etc.\n3. Create NL-to-SQL training dataset(s) for fine-tuned models\n4. Assess the accuracy of AI-generated SQL\n\n**The Solution**\n\nDataherald’s API solves these challenges by allowing developers to:\n\n* Add business context from various sources (data dictionaries, DBT, Confluence docs, Google docs, etc.)\n\n![](https://lh7-us.googleusercontent.com/kwye-PT4ors7WmWLdm5AjZN5oprn0XXX2v4i_PkCIYwRvilZ-fixK_9wJGHJo9PU1rjv99kBgEVCB1YX58DYO3HCeNoQlHqLcdURUilLhsYcdiDTVEVcd8DZCrt_1EeHYd-zkjWUukA6I8Ka8epVBCc)\n\n* Identify relevant data tables\n* Fine-tune NL-to-SQL LLMs **(including GPT-4!)** specific to their data\n* Assess confidence levels in AI-generated SQL\n\nAll this happens with a few simple API calls.\n\n![](https://lh7-us.googleusercontent.com/6LVhL2Hbyga7oQ7mGDNORds_IMhmA5oBbrjNjKl4Y3L3rECk4WozWzJQY8jS16X6j9ZGgW-5p1fVqt6flbiZfR138EpYhUmcH9btyJL1ky_y7EIlQ5lEQUYVVVzfzDkjlfDU88y_0mJwDRbMgXWug9M)\n\nDataherald’s NL-to-SQL API unlocks data access wherever needed:\n\n1. Enabling Complex Data Queries in SaaS Apps: For example a large payroll software company uses Dataherald to embed NL-to-SQL into their front end so that users can ask questions like “How much did I spend on full stack engineers in our European offices in Q2 2023 and how is that trending?”\n2. Democratizing Data Insights: Companies integrate our API into Slack, enabling self-serve data requests, and freeing up valuable time for data analysts.\n3. Automate Customer Support with Chatbots: Customer support teams dealing with data-heavy queries leverage Dataherald in chatbots, automating inquiries regarding user data.\n\n![](https://lh7-us.googleusercontent.com/rsI_mjIShLSNZBuwGtOKk8k8Fv0f8rUEjItn0w17y-_rps3jWcWNgvQ6C9Ly9EFxszG7jE3c5DLS_T9lcEiHwYD0Z1nvXNgHB3-qFRAOJM6XL6B0w19JQt_esYJm7qqp6Tg2U1Jh9QvHlWGdohmzUZ4)\n\n**The ASK**\n\n* **Start using today** - send me an email [anuj@dataherald.com](https://mailto:anuj@dataherald.com) to get your API key and start using it today!\n* **Share** - tell your colleagues and friends about [Dataherald](https://dataherald.com/)\n* **YC Companies** - skip the wait list and claim the [YC deal](https://bookface.ycombinator.com/deals/2135) \n* **Open-source engine** is available on [Github](https://github.com/Dataherald)",
        "url": "https://www.ycombinator.com/launches/KA3-dataherald-nl-to-sql-api-for-developers",
        "votes": 21,
        "created_at": "2024-01-15T22:29:20.249Z"
      },
      {
        "id": 73999,
        "title": "🚀 Dataherald - Query your structured database in natural language",
        "tagline": "Enable anyone to get answers to ad hoc data questions in seconds – no SQL needed",
        "body": "### The TL;DR\n\nRather than waiting hours or days, business users get answers to complex data questions in seconds – all in plain English. Dataherald’s AI-powered natural language to SQL agent gives you answers, fast. It’s like having a data analyst on standby 24/7.\n\n👋 Howdy! - we’re [Amir](https://www.linkedin.com/in/amir-zohrenejad-72a517184/) and [Anuj](https://www.linkedin.com/in/anujsaigal/); we’re building [Dataherald](https://dataherald.com/). We’re on a mission to enable anyone to get answers to their data questions immediately. No longer do you have to click through dozens of BI dashboards or “wait on the data team” to get the answers you need.\n\n### The Problem\n\nWith an ever-increasing volume of data, businesses have invested heavily in BI tools with the aim of providing answers to data questions. These tools often fail to handle complex data queries, leading to a backlog of **ad hoc questions** for the data team, inevitably creating a bottleneck.\n\n**The Data BI “Doom Loop” —** Dashboards inevitably fall short in answering certain data questions, leaving people waiting.\n\n![uploaded image](/media/?type=post&id=73999&key=user_uploads/307611/9c21d382-337a-4bcf-9d06-27be4cd90a5f)\n\n### The Solution\n\nBusiness users want answers to their data questions in the most natural way possible - by simply posing a question in plain language and receiving a response in the same natural language format.\n\nDataherald cuts through the noise, providing quick answers to complex data questions, all in plain English. Users Slack their queries to our bot and receive instant responses.\n\n![uploaded image](/media/?type=post&id=73999&key=user_uploads/307611/9daf452e-4d9e-44a3-b41b-6594bea0391d)\n\nOur natural language-to-SQL agent, supported by an LLM, comprehends questions, identifies relevant data tables, writes SQL queries, and assesses confidence levels in responses. If confidence is low, a member of your data team can review and modify the SQL. Best of all, Dataherald's algorithm continuously improves, delivering more accurate insights over time. Watch the product in action in the link below!\n\n![uploaded image](/media/?type=post&id=73999&key=user_uploads/307611/a55a7b9c-94dd-480d-a489-9393ba36c380)\n\n### \n\n### The ASK\n\n* Join our [**waitlist**](https://www.dataherald.com/contact) and we’ll get in touch ASAP\n* Check out Dataherald in action [**(video link)**](https://5892632.fs1.hubspotusercontent-na1.net/hubfs/5892632/Dataherald%20AI%20-%20Streamline%20your%20teams%20ad-hoc%20data%20questions.mp4)\n* Stay informed about our latest developments by following us on [LinkedIn](https://www.linkedin.com/company/dataherald) and [Medium](https://medium.com/dataherald). Our journey is just beginning!\n* Open-source engine is now available on [**Github**](https://github.com/Dataherald)",
        "url": "https://www.ycombinator.com/launches/JFX-dataherald-query-your-structured-database-in-natural-language",
        "votes": 57,
        "created_at": "2023-08-10T16:58:42.614Z"
      }
    ]
  },
  {
    "id": 29440,
    "name": "Rove",
    "slug": "rove",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7ce5fb2bc6ecc51b550577fdf7ed50f0b62b585d.png",
    "website": "https://rove.com",
    "all_locations": "New York City, NY, USA",
    "long_description": "Earn flexible airline miles on booking travel, shopping, and dining, all on top of your credit card rewards.",
    "one_liner": "Earn airline miles on hotels and everyday spend.",
    "team_size": 32,
    "industry": "Consumer",
    "subindustry": "Consumer -> Travel, Leisure and Tourism",
    "launched_at": 1701568382,
    "tags": [
      "Consumer",
      "Travel",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
      "Consumer",
      "Travel, Leisure and Tourism"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/rove",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/rove.json",
    "year_founded": 2023,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/rovemiles/",
    "x_url": "https://x.com/rovemiles",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/rove-6429",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7ce5fb2bc6ecc51b550577fdf7ed50f0b62b585d.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
    },
    "founders": [
      {
        "user_id": 815885,
        "full_name": "Max Morganroth",
        "title": "Founder/CEO",
        "founder_bio": "Founder at Rove | Wharton Entrepreneurship",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/maxmorganroth",
        "x_url": "https://twitter.com/maxmorganroth",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/df6ed5633e1fbb63197ce2efe9dfe11a1ae2c16f.jpg"
      },
      {
        "user_id": 1650726,
        "full_name": "Arhan Chhabra",
        "title": "Founder",
        "founder_bio": "Founder at Rove | Harvard CS & Economics",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/arhanchhabra",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8388bf85862f74b6a0d0e119dd36d9824cdfcbe1.jpg"
      }
    ],
    "jobs": [
      {
        "id": 63606,
        "title": "Software Engineer (Mid to Senior)",
        "url": "https://www.ycombinator.com/companies/rove/jobs/WOiFl9H-software-engineer-mid-to-senior",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$150K - $300K",
        "equity_range": "0.10% - 0.50%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Amazon Web Services (AWS)",
          "Git",
          "Node.js",
          "React Native",
          "Redis",
          "TypeScript",
          "Software Security",
          "Next.js",
          "LLMs",
          "AI Agents",
          "NestJS"
        ]
      },
      {
        "id": 102248,
        "title": "Growth Engineer",
        "url": "https://www.ycombinator.com/companies/rove/jobs/bJWUbv2-growth-engineer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $200K",
        "equity_range": "0.10% - 0.30%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 89835,
        "title": "Rove: Travel the world for free",
        "tagline": "Earn Rove Miles—the first ever universal airline mile.",
        "body": "**TLDR:** Rove Miles is the first universal airline mile program. Earn up to 25x miles on everyday spend, hotel stays, flights, and through partner programs—all on top of your existing credit card rewards. Then, redeem those miles effortlessly across 12 global loyalty programs, 140+ airlines, and 200,000+ hotels at up to 90% off.\n\n[https://youtu.be/LsYKowedGn4](https://youtu.be/LsYKowedGn4?feature=shared)\n\nHey everyone! We're [Max](https://www.linkedin.com/in/maxmorganroth/) and [Arhan](https://www.linkedin.com/in/arhanchhabra/), founders of [Rove](http://rovemiles.com), and we're excited to launch the first universal travel loyalty program that works across almost every airline and hotel in the world.\n\nBefore Rove, we founded startups at Wharton and Harvard—connecting people through specialized Bluetooth software and revolutionizing edtech recruiting. Between scaling businesses and attending class, we traveled to over 50 countries for free in business and first class, leveraging credit card points and loyalty transfers. But our friends? They were stuck on the sidelines, locked out by complicated rules, outdated credit requirements, and high fees.\n\n![uploaded image](/media/?type=post&id=89835&key=user_uploads/815885/c7172baa-a6d9-48fd-89c4-deb60b29c891)\n\n_Arhan and Max_\n\n### **The Problem: Gaps in Accessibility and Usability**\n\nTravel rewards today exclude millions, especially young people. Over 70 million Americans can't access premium travel credit cards, leaving a majority of Gen Z—the generation most eager to travel—unable to earn a meaningful number of miles and points across airline and hotel loyalty programs, which provide discounts of up to 90% compared to standard credit card travel portals. Unlike markets like Hong Kong and Singapore, where earning miles is easy and part of everyday life, Americans face unnecessary complexity and high barriers.\n\n### **Our Solution: Rove Miles**\n\nRove Miles makes travel accessible and rewarding for everyone. We've unified 12 major international loyalty programs into a single, universal currency that's easy to earn (always on top of your existing credit card rewards) and simple to redeem:\n\n* Earn miles on over 7,000 merchants by activating the [Rove Shopping](https://chromewebstore.google.com/detail/rove-shopping/jkklhhheomgefgljanpobgabooknjlbf?authuser=0&hl=en) chrome extension before your purchase.\n* Earn up to 25x miles on hotel bookings made through [Rove](https://rovemiles.com), which can be earned instantly for non-refundable stays to cover your flight there or add extra free nights.\n* Earn 3x bonus miles on flights on top of the miles you get from the airline when booking through [Rove](https://rovemiles.com).\n\nSoon, you'll also earn Rove Miles from dining, in-store purchases, and transferring existing points in from partner programs.\n\n### **Rove’s Transfer Partners**\n\nRove’s initial loyalty program partners are:\n\n* Air France-KLM Flying Blue\n* Air India Maharaja Club\n* Accor Live Limitless\n* Aeromexico Rewards\n* Cathay Pacific Asia Miles\n* Etihad Guest\n* Finnair Plus\n* Hainan Airlines Fortune Wings Club\n* Vietnam Airlines Lotusmiles\n* Qatar Airways Privilege Club\n* Thai Airways Royal Orchid Plus\n* Turkish Airlines Miles&Smiles\n\nMore programs are coming soon, with our current partnerships covering all three major airline alliances. With Rove Miles, your points become 2-3x more valuable compared to traditional credit card redemptions, even on hotels where high-value redemptions can be even harder to find. Soon, you will be able to use miles on unique travel experiences, such as events, festivals, private jet charters, or flying in zero gravity!\n\n### **Join Us on This Journey**\n\nWe're building Rove Miles to make free annual vacations accessible to everyone, effortlessly. Stop missing out—turn your everyday spend into unforgettable travel experiences.\n\nStay tuned,\n\nMax and Arhan",
        "url": "https://www.ycombinator.com/launches/NMx-rove-travel-the-world-for-free",
        "votes": 20,
        "created_at": "2025-04-24T17:36:05.224Z"
      },
      {
        "id": 79108,
        "title": "Rove: Travel the world for free",
        "tagline": "The first travel credit card for Generation Z.",
        "body": "**TLDR:** Rove is the only travel credit card for young adults, leveraging cash-flow underwriting and the first-ever travel points portal to allow the average Gen Z spender to effortlessly travel the world for free.\n\nHey everyone! We're [Max](https://www.linkedin.com/in/maxmorganroth/) and [Arhan](https://www.linkedin.com/in/arhanchhabra/), founders of [Rove](https://linkedin.com/company/rovecard/), and we're thrilled to introduce the first travel credit card for young adults. Our journeys began at Wharton and Harvard, where we built ventures around specialized Bluetooth software to connect people at events and a B2B edtech recruiting platform for schools and startups. We scaled our ventures by day and slept on planes by night, traveling the world for free.\n\n![uploaded image](/media/?type=post&id=79108&key=user_uploads/815885/cf150984-2142-40ce-b084-59f3848706f9)\n\n_Arhan and Max_\n\nDespite travel-hacking our way to over 50 countries, none of our friends could do the same. The barriers? Stringent credit requirements based on outdated underwriting algorithms (FICO), ludicrous fees, and antiquated software systems turned the dream of free travel into a complicated puzzle. We may have been able to hack the system, but we always wished for one that didn’t need to be hacked and rewarded users by default instead.\n\n### **The Problem: Gaps in Accessibility and Usability**\n\nRight now, the travel credit card market fails to serve the people who want to travel the most. Existing cards are like computers were in the early 2000s: they work, but they’re expensive, many people can’t access them, and even those who can struggle to use them without help. We’re building the iPhone of travel cards—one that’s easy to use, readily accessible, and seamlessly intuitive. These two market inefficiencies create one of the best opportunities in consumer credit in decades.\n\n### **Our Solution: Rove**\n\nRove is here to democratize reward travel, finally offering the first-ever no-annual-fee travel card for Gen Z. We use advanced algorithms and data aggregation systems to underwrite users in a radically more accessible way. By using people’s cash flow from connecting to their banks, as opposed to outdated data points like mortgages and decades of credit history, we can more accurately underwrite an entirely untapped demographic of users.\n\nBut we didn't stop there—we want reward travel to not only be available to young adults but easy to use too. Our platform introduces the first-ever portal for direct redemption of airline loyalty deals, making the process of traveling the world for free as effortless as it should be. With our alliance of partner airlines, the average Gen Z spender can earn a free annual trip overseas. Soon after our card launch, we’re leveraging better data and software technology to maximize user rewards across an accessible suite of financial products.\n\n### **Experience Rove**\n\n![uploaded image](/media/?type=post&id=79108&key=user_uploads/815885/bd0013cf-e9b8-4bff-a03f-719f6ebcf17a)\n\n![uploaded image](/media/?type=post&id=79108&key=user_uploads/815885/6379bf8f-ebfb-4d4f-99e6-e36ba1f54d4c)\n\n### **Join Us on This Journey**\n\nWe're on a mission to make the world more accessible to young adults everywhere by building a financial suite of products geared toward travel. In the short term, that’s our travel card. In the long term, it’s about expanding access to products globally that allow users to travel based on their spending and savings, leveraging our data flywheel to better underwrite the billions of underbanked people across the world.\n\nIf you're tired of missing out on travel opportunities because of credit barriers or complex points systems, Rove is for you. For now, our [waitlist](https://rovecard.com) is only available through the invite code _YCLAUNCH._ The first users to sign up will receive a Founders Edition of Rove.\n\nStay tuned,\n\nMax and Arhan",
        "url": "https://www.ycombinator.com/launches/KZw-rove-travel-the-world-for-free",
        "votes": 85,
        "created_at": "2024-03-06T15:07:48.320Z"
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        "id": 78084,
        "title": "🔥 Retell AI – API for building human-like conversational voice AI",
        "tagline": "We help developers implement human-like voice agents in a day instead of months. Plug in your LLM, a voice agent in born!",
        "body": "**Tl;dr:** You can now use our [API](https://docs.re-tell.ai/introduction) to build human-like voice AI agents with your LLM. We've achieved response times averaging 800ms, reaching the level of human interactions. (see our [demo](https://youtu.be/0LT64_mgkro) or call +1 (415) 831-7577 to try it out).\n\n### **Problem — Building human-like voice AI agents is hard**\n\n* **Human-like interaction is hard**: Building a voice AI agent that can talk seems easy (stitching together speech-to-text, LLM, and text-to-speech), but making it interact like humans is hard. In human conversation, one has to respond fast and handle all kinds of situations (handling interruptions, knowing when it's your turn to speak, etc).\n* **Long development time**: Developers building voice products spend hundreds of hours focusing on the voice conversation experience alone.\n* **Quality often falls short**: Current voice AI products often have long response latency (**\\>3s**), do not know when to appropriately speak (might interrupt you too much, or respond not quickly enough), and do not handle user interruptions well (AI and human talking over each other), and the list goes on.\n\n  ![uploaded image](/media/?type=post&id=78084&key=user_uploads/1654051/f2832b96-ad0a-4a02-9f1a-8bd461f6dcf8)\n\n\n### **Solution — API for building human-like voice AI agents**\n\n* **Human-Like Conversations**: With our [API](https://docs.re-tell.ai/introduction), you can build a superior voice conversation experience with your LLM. We've achieved response times averaging 800ms, reaching the level of human interactions. We also handle interruptions and provide smart turn-taking determination to achieve seamless conversational exchanges.\n* **Connect your LLM easily**: Plug in your LLM and create a human-like voice agent easily.\n\n  ![uploaded image](/media/?type=post&id=78084&key=user_uploads/1654051/12a8df9f-56f3-4387-a7aa-82727edcc5e4)\n\n* **WebSocket Support:** Connect directly with your users through your web frontend or via phone. You won't have to manage audio bytes – we'll handle that for you.\n\n  ![uploaded image](/media/?type=post&id=78084&key=user_uploads/1654051/5d27fa59-5e8e-4887-b4b1-e8fdee9681a4)\n\n\n\n### **Who is this product meant for?**\n\nAnyone building a voice experience can benefit from using Retell AI. Whether you're developing **AI call agents, AI coaching apps, or AI lifelike companions**, we are your trusted ally in creating the best conversational experience for your users.\n\n### **How to get started?**\n\n* Try our live demo at <https://www.re-tell.ai/> (no signup needed)\n* Self-serve by registering an account\n* Explore our API Documentation at <https://docs.re-tell.ai/introduction>\n\n![uploaded image](/media/?type=post&id=78084&key=user_uploads/1654051/a55072bd-520d-4f62-960a-1a064ec53256)\n\n### **Have questions?**\n\n* You can email us at [founders@re-tell.ai](mailto:founders@re-tell.ai)\n* Or schedule a meeting with us at <https://calendly.com/retell-ai/30min?back=1&month=2024-01>\n* We'll understand your use cases, guide you through our product, and help you quickly implement your voice AI use case.\n\n### **Our Ask:**\n\n* Give us a [try](https://www.re-tell.ai/)! We provide founder's support dedicated to helping you succeed. Please don't hesitate to schedule a meeting with us anytime!\n* If you know anyone who could benefit from Retell AI, we would appreciate a warm introduction. :)\n\n  ![uploaded image](/media/?type=post&id=78084&key=user_uploads/1654051/39f54325-2b20-4e72-84d9-d89be3981d1f)\n\n\nWarm regards from the five-founders' team. (From left to right: [Todd](https://linkedin.com/in/zhengtaoli), [Weijia](https://linkedin.com/in/weijia-y-76b816194), [Zexia](https://linkedin.com/in/zexia-zhang-171480133), [Bing](https://linkedin.com/in/binw) & [Evie](https://www.linkedin.com/in/yanwang131415/))",
        "url": "https://www.ycombinator.com/launches/KJQ-retell-ai-api-for-building-human-like-conversational-voice-ai",
        "votes": 129,
        "created_at": "2024-02-02T01:51:47.994Z"
      }
    ]
  },
  {
    "id": 29442,
    "name": "Ocular AI",
    "slug": "ocular-ai",
    "former_names": [
      "AutoflowAI (Zapier for AI Copilots)",
      "AutoflowAI",
      "Ocular"
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    "website": "https://useocular.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "",
    "one_liner": "Applied AI Data Research Lab Encoding Human Expertise into Machines…",
    "team_size": 8,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1706216304,
    "tags": [
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      "Speech Recognition",
      "Data Engineering",
      "AI"
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    "tags_highlighted": [],
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    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
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    ],
    "regions": [
      "United States of America",
      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": [
      {
        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "Having worked at Microsoft and Google, we experienced first-hand how difficult it is to access and find information and perform actions across multiple Saas tools both in the workplace and engineering. We’ve interviewed numerous employees and engineers at Appian, Uber, Pinecone, Brex, Coda, Microsoft, Google among others and learned that as companies grow it gets harder to: 1\\. **Find what you need at work:** Company knowledge lives in multiple, isolated Saas applications and employees spend over a quarter of their workday looking for information, documents, apps, and people they need to do work or get permissions. 2\\. **Manage complex engineering tools:** As engineering teams scale and adopt microservices, they onboard multiple tools for documentation, development, release, monitoring and alerting. \\* Tools (such as CircleCI, DataDog, New Relic, etc) all live in different places which makes it very difficult to have a unified view of your techstack.\\* \\* \\* Critical data, metrics, logs, and dashboards are all in isolated platforms, complicating discovery, correlation, multitool workflow coordination, and usage—especially during incidents.Siloed tooling and data introduces operational tax to the life of employees and engineers, slowing down productivity, development cycles, and incident management."
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    "url": "https://www.ycombinator.com/companies/ocular-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/ocular-ai.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/use-ocular",
    "x_url": "https://x.com/OcularHQ",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/ocular-ai",
    "github_url": "https://github.com/OcularEngineering",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2d1b75bdedcefb73d59cc0a2f122bdc71abfcc6e.png",
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    "primary_partner": null,
    "founders": [
      {
        "user_id": 928098,
        "full_name": "Michael Moyo",
        "title": "Founder/CEO",
        "founder_bio": "CEO & Co–Founder of Ocular AI. Computer and Biomedical Engineer.\n",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/michaelmoyo",
        "x_url": "https://twitter.com/SonofMushabati",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6959040840b8fd81769bb3f59506b26293892c8a.jpg"
      },
      {
        "user_id": 1313975,
        "full_name": "Louis Murerwa",
        "title": "Founder",
        "founder_bio": "Louis is the Co-founder and CTO of Ocular AI. He is from Zimbabwe and studied Computer Science at Dartmouth College. Previously Louis worked at Google NYC as a Software Engineer where he built Distributed Architecture that powers Google Cloud. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/louismurerwa/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3ae4ac166c25ea521a78371102958f1076540542.jpg"
      }
    ],
    "jobs": [
      {
        "id": 71525,
        "title": "Member of Technical Staff, Founding Backend Engineer",
        "url": "https://www.ycombinator.com/companies/ocular-ai/jobs/BFBHWQd-member-of-technical-staff-founding-backend-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$150K - $200K",
        "equity_range": "0.50% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "PostgreSQL",
          "Python",
          "React",
          "Torch/PyTorch"
        ]
      },
      {
        "id": 71623,
        "title": "Member of Technical Staff, Founding Design Engineer",
        "url": "https://www.ycombinator.com/companies/ocular-ai/jobs/GWPuqvr-member-of-technical-staff-founding-design-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Frontend",
        "salary_range": "$130K - $200K",
        "equity_range": "0.30% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "TypeScript",
          "Next.js"
        ]
      },
      {
        "id": 71633,
        "title": "Member of Technical Staff, Founding Frontend Engineer",
        "url": "https://www.ycombinator.com/companies/ocular-ai/jobs/Cjr9AlQ-member-of-technical-staff-founding-frontend-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Frontend",
        "salary_range": "$130K - $200K",
        "equity_range": "0.30% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "JavaScript",
          "React",
          "TypeScript",
          "Computer Vision",
          "Figma",
          "Next.js"
        ]
      },
      {
        "id": 73015,
        "title": "Member of Technical Staff, Founding Machine Learning Engineer",
        "url": "https://www.ycombinator.com/companies/ocular-ai/jobs/9UVGCDr-member-of-technical-staff-founding-machine-learning-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$130K - $200K",
        "equity_range": "0.30% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Python",
          "TensorFlow",
          "CUDA",
          "OpenCV"
        ]
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 79032,
        "title": "Ocular AI - Bringing enterprise search, gen AI, and actions to the workplace",
        "tagline": "Ocular AI lets teams within organizations search, visualize, and perform critical cross tool actions all on one unified platform.",
        "body": "We’re [Michael](https://www.linkedin.com/in/michaelmoyo/) and [Louis](https://www.linkedin.com/in/louismurerwa/) and are excited to officially launch [Ocular AI](https://www.useocular.com/)!\n\nBook demos [here.](https://calendly.com/use-ocular/30min?month=2024-03#utm_source=launchyc&utm_medium=Launch+YC+Blog+Post&utm_campaign=launch&utm_id=launchyc&utm_content=launch+yc)\n\n**💡 Tl;Dr:**\n\n[**Ocular AI** ](https://www.linkedin.com/company/use-ocular)makes it easy for employees in mid-market and enterprise companies to find information and perform cross-tool actions using Generative AI-powered Search. We do this by providing a beautiful Google-like interface and a co-pilot that connects to all your company apps and tools. \n\n[ ](https://youtu.be/gAHGlKwBQJg)\n\n**❌ Problem**\n\nHaving worked at Google and Microsoft, we experienced first-hand how difficult it is to access and find information and perform actions across multiple SaaS tools both in the workplace and in engineering. Through our experience and conversations with people at Appian, Boeing, General Electric, Uber, Pinecone, Brex, Coda, Unity, Microsoft, and Google, we learned that as companies grow it gets very challenging to:\n\n1. **Find what you need at work:** Company knowledge lives in multiple, isolated SaaS applications, and employees spend over a quarter of their workday looking for information (think of documentation, past slack threads, etc), finding the people needed to complete tasks, and getting the required permissions.\n2. **Manage complex engineering tools:** As engineering teams scale and adopt microservices, they onboard multiple tools for documentation, development, release, monitoring, and alerting. Critical data, metrics, logs, and dashboards are all in isolated platforms such as CircleCI, DataDog, and New Relic and this makes it very difficult to have a unified view of company data, correlation data across these tools, and complete multitool workflow coordination - especially during incidents.\n\n \n\nSiloed tooling and data introduce an operational tax to the lives of employees like engineers, slowing down productivity, development cycles, and incident management. Workers spend an average of a quarter of their day searching for information. \n\nAll of this time can be used to write more code, do more deals, and talk to customers. With the rise of AI and Copilots, the value of the time spent on doing actual work has never been so high.\n\n**🚀🚀🚀 Our Solution**\n\n🔎 **Enterprise Search for everyone in your company:** Integrate all of your company’s applications, tooling, and data sources to power organizational and team-level search. Organization members only see the information they have access to based on their roles.\n\n![uploaded image](/media/?type=post&id=79032&key=user_uploads/928098/2acb388c-05d6-4ccc-bbb7-60a0a979fbf0)\n\n\\\n🤖 **Ocular Copilot- your work assistant that knows everything about your company:** Power cross-tool workflows and actions using our generative AI-powered Ocular Copilot. Create workspaces, upload files (structured or unstructured), create collections, and build usage-specific assistants for your day-to-day tasks. \n\n![uploaded image](/media/?type=post&id=79032&key=user_uploads/928098/71f00356-86e2-46b0-b8f9-8f2521f83b09)\n\n**App MarketPlace:** Integrate the tools (Notion, Jira, Google Drive, Slack) you already love and use for your day-to-day tasks.\n\n![uploaded image](/media/?type=post&id=79032&key=user_uploads/928098/b72de7e6-e224-4695-9eac-f934add88a6f)\n\n**Admin Portal:** \n\nOcular AI provides search-driven insights such as trending searches, number of searches, etc., which allows execs and managers to understand their organizations better. With Ocular, you can now see which applications are used the most and which ones are underutilized, allowing organizations to make reliable SaaS spend decisions. In addition, add members, teams, and applications to your Ocular instance.\n\n[ ](https://youtu.be/9Y9ex6e_vqE)\n\n## **📈 Maximizing Generative AI ROI for Enterprise**\n\nEnterprises are eager to adopt Generative AI in the workplace to enhance operational efficiencies. We’re partnering with organizations to implement secure, compliant, and company-specific Generative AI.\n\n**🔐 Enterprise security**\n\nComing from Microsoft and Google, we understand the importance of data privacy and security. For that reason, you can self-host Ocular AI on-premise or on bring your own cloud (BYOC), so all your data stays within your control- we don’t have access to it. Ocular AI is also getting SOC2 compliant and enforcing end-to-end data encryption AES 256. We’ll also be adding more security layers to ensure your data is 100% safe.\n\n**💯 The Team**\n\n[Dartmouth College](https://home.dartmouth.edu/) graduates with software engineering experience building large-scale and compliant applications at Google and Microsoft.\n\n![uploaded image](/media/?type=post&id=79032&key=user_uploads/928098/63025954-cc5d-4297-90fc-57ea63c5491f)\n\n**🫡 Our Ask**\n\nPlease introduce us to managers, CEOs, CIOs, and CTOs. We can help unify their tools and data together to make their teams more efficient. \n\nSchedule a demo at [www.useocular.com](https://www.useocular.com#utm_source=launchyc&utm_medium=Launch+YC+Blog+Post&utm_campaign=launch&utm_id=launchyc&utm_content=launch+yc) or [here.](https://calendly.com/use-ocular/30min?month=2024-03#utm_source=launchyc&utm_medium=Launch+YC+Blog+Post&utm_campaign=launch&utm_id=launchyc&utm_content=launch+yc)\n\nJump on the [waitlist!](https://form.asana.com/?k=kIT2oNFOWol6_RptDc_vpQ&d=1206400736295884) 🚀\n\nReach us at [founder@useocular.com](mailto:founder@useocular.com)! ✉️",
        "url": "https://www.ycombinator.com/launches/KYi-ocular-ai-bringing-enterprise-search-gen-ai-and-actions-to-the-workplace",
        "votes": 58,
        "created_at": "2024-03-04T20:04:01.162Z"
      }
    ]
  },
  {
    "id": 29447,
    "name": "Deepnight",
    "slug": "deepnight",
    "former_names": [
      "DeepNight"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/419c6b136773af60713e2a4301554b4ef1bbd8a9.png",
    "website": "https://www.deepnight.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "DeepNight is building the next generation of night vision with AI.",
    "one_liner": "Building The Next Generation of Night Vision Devices",
    "team_size": 16,
    "industry": "Industrials",
    "subindustry": "Industrials -> Defense",
    "launched_at": 1709629638,
    "tags": [
      "Computer Vision",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
      "Industrials",
      "Defense"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Growth",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/deepnight",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/deepnight.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/deepnight-inc",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/419c6b136773af60713e2a4301554b4ef1bbd8a9.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Pete Koomen",
      "url": "https://www.ycombinator.com/people/pete-koomen"
    },
    "founders": [
      {
        "user_id": 1583389,
        "full_name": "Lucas Young",
        "title": "Founder/CEO",
        "founder_bio": "Solving night vision with software.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/lucasdyoung/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1db87cb23cdb8e0c210d7b811a4beb540a83c9e6.jpg"
      }
    ],
    "jobs": [
      {
        "id": 84663,
        "title": "Computer Vision Engineer",
        "url": "https://www.ycombinator.com/companies/deepnight/jobs/xG3gegU-computer-vision-engineer",
        "location": "San Francisco, CA, US / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$160K - $240K",
        "equity_range": "0.10% - 0.40%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Torch/PyTorch",
          "Machine Learning",
          "Deep Learning",
          "Computer Vision"
        ]
      },
      {
        "id": 109948,
        "title": "Electrical Engineer - Displays & Camera Sensors",
        "url": "https://www.ycombinator.com/companies/deepnight/jobs/Apr3qXh-electrical-engineer-displays-camera-sensors",
        "location": "San Diego, CA / San Francisco, CA",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Electrical",
        "salary_range": "$120K - $180K",
        "equity_range": "0.15% - 0.35%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": [
          "PCB design"
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      }
    ],
    "news": [
      {
        "title": "YC grad Deepnight nabs $5.5M for AI night vision software that disrupts a multi-billion dollar industry | TechCrunch",
        "url": "https://techcrunch.com/2025/02/27/yc-grad-deepnight-nabs-5-5m-for-ai-night-vision-software-that-disrupts-a-multi-billion-dollar-industry/",
        "date": "Feb 27, 2025"
      }
    ],
    "launches": []
  },
  {
    "id": 29448,
    "name": "xPay",
    "slug": "xpay",
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    "website": "https://www.xpaycheckout.com/",
    "all_locations": "Bengaluru, KA, India",
    "long_description": "We're building a commerce solution for SaaS companies globally that have overseas customers. We especially help them with streamlining billing operations like invoicing and reconciliation, managing foreign sales tax and accepting payments.  We abstract out the complexities of compliance, remittance and integration for these merchants by running all that machinery in the background. ",
    "one_liner": "International Billing Ops, Sales Tax and Payments for SaaS businesses",
    "team_size": 3,
    "industry": "Fintech",
    "subindustry": "Fintech -> Payments",
    "launched_at": 1709922304,
    "tags": [],
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
      "Fintech",
      "Payments"
    ],
    "regions": [
      "India",
      "South Asia",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/xpay",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/xpay.json",
    "year_founded": 2024,
    "city": "Bengaluru",
    "country": "IN",
    "linkedin_url": "https://www.linkedin.com/company/xpay-checkout/?viewAsMember=true",
    "x_url": "",
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3971c15f9f5205a1db5b53fe701e75a30c87c769.png",
    "app_video_url": null,
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    "primary_partner": {
      "name": "Pete Koomen",
      "url": "https://www.ycombinator.com/people/pete-koomen"
    },
    "founders": [
      {
        "user_id": 337738,
        "full_name": "Aniket Gupta",
        "title": "Founder/CEO",
        "founder_bio": "Founder of xPay - An international payment acceptance solution. In the past, I've started DisruptX Labs, a globally acclaimed dev studio and ingig, an online live streaming platform for musicians. Been running startups for 3 years and probably will for a lifetime more.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/theaniketg",
        "x_url": "https://twitter.com/theaniketg",
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        "user_id": 1620343,
        "full_name": "Rakshit Bansal",
        "title": "Founder",
        "founder_bio": "Founder of xPay - An international payment acceptance solution. Been building products for the last 7 years. Have led tech teams at multiple startups namely Observe.AI & Flipkart.  \n\n",
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    "jobs": [
      {
        "id": 94657,
        "title": "Founding Sales lead",
        "url": "https://www.ycombinator.com/companies/xpay/jobs/B5hAmRi-founding-sales-lead",
        "location": "Bengaluru, KA, IN / Bengaluru, Karnataka, IN",
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    "id": 29467,
    "name": "Powder",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Powder is an AI tool that helps wealth advisors rapidly create sales proposals that are personalized for each prospective client.  Using LLMs, Powder is able to automate a series of manual tasks such as understanding documents and conversations to create mind-blowing analysis that builds immediate trust.\r\n\r\n\r\nPowder has 3 main features to automate sales workflows -\r\n\r\n1. Brokerage, tax and estate document parser thats fast and accurate.\r\n2. Meeting notetaker thats able to capture personalized insights.\r\n3. Portfolio analysis tool that optimizes portfolio returns, risk and fees.\r\n\r\nOur app saves hours of time and creates a pinpoint proposal that lifts a firm's ability to win new business.\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n",
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    "team_size": 6,
    "industry": "Fintech",
    "subindustry": "Fintech -> Asset Management",
    "launched_at": 1705898735,
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    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
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      "name": "Garry Tan",
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    "founders": [
      {
        "user_id": 30926,
        "full_name": "Kanishk Parashar",
        "title": "Founder/CEO",
        "founder_bio": "cofounder/CEO Powder - AI growth platform for wealth advisors.  Previously, I was cofounder/CEO of RCI Navigator.  Navigator helps asset and wealth managers to pace into private assets such as VC, PE, Infra, etc. while taking risks into account.  It was acquired by Addepar in Jan 2021.  Navigator is used by 150+ firms including UBS and Morgan Stanley.  Before that I was cofounder/CEO of Coin (YCW13).  Coin was a all-in-one digital credit card that combined all your cards into one.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/diamondk",
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      },
      {
        "user_id": 1254758,
        "full_name": "Soo Yung Cho",
        "title": "Founder/CTO",
        "founder_bio": "Sooyung is the co-founder and CTO of Powder, AI sales copilot for wealth advisors. Prior to founding Powder, Sooyung was a founding team member of RCI which was acquired by Addepar in 2021. Sooyung graduated from Johns Hopkins with a BS degree in Computer Science. Out of work, he enjoys playing lacrosse.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/soo-yung-cho-53643811",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/680cd924887cbfa012a035f3d25e2e4de32f51c0.jpg"
      },
      {
        "user_id": 1512625,
        "full_name": "David Goerz",
        "title": "Founder",
        "founder_bio": "Co-founder & Chief Investment Officer for Powder Finance, which is building an AI Sales co-Pilot for wealth advisors to automate gathering financial holdings, analyze portfolios, assess risk tolerance, and summarize data to engage faster and efficiently.\n\nHe managed portfolio strategies for institutional asset owners for 33 yrs on mandates up to $30B in assets with pioneering innovations in quantitative equity and return forecasting, optimization and risk management. Chair, Investment Committees",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/davidgoerz3",
        "x_url": "https://x.com/StrategicCAPM",
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      {
        "user_id": 1658092,
        "full_name": "Dominic Tully",
        "title": "Founder",
        "founder_bio": "I am currently the co-founder and Head of Sales and Operations at Powder. Prior to Powder, I work at the fintech firm, Addepar, as both a Senior Account Executive and Senior Account Manager. I started my career at Goldman Sachs, where I worked in the Private Wealth Management division in San Francisco. ",
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        "linkedin_url": "https://linkedin.com/in/dominic-tully-b9418292",
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    "jobs": [
      {
        "id": 81529,
        "title": "Founding Software Engineer, Agents",
        "url": "https://www.ycombinator.com/companies/powder/jobs/grrytZl-founding-software-engineer-agents",
        "location": "Redwood City, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$100K - $150K",
        "equity_range": "0.30% - 1.00%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
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    "news": [
      {
        "title": "Wealthtech Startup Powder Raises $5M in Seed Funding | Wealth Management",
        "url": "https://www.wealthmanagement.com/technology/wealthtech-startup-powder-raises-5m-seed-funding",
        "date": "Jul 22, 2024"
      },
      {
        "title": "Introducing Powder: Generative AI Co-Analyst | Wealth Management",
        "url": "https://www.wealthmanagement.com/technology/introducing-powder-generative-ai-co-analyst-revolutionizing-wealth-management",
        "date": "Mar 04, 2024"
      },
      {
        "title": "Fintech founders pair AI and client prospecting in new platform for financial advisors | Financial Planning",
        "url": "https://www.financial-planning.com/news/fintech-founders-pair-ai-and-client-prospecting-in-new-platform-for-financial-advisors",
        "date": "Nov 13, 2023"
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    "launches": [
      {
        "id": 110475,
        "title": "Playbook — AI agents that run wealth management operations",
        "tagline": "AI agents that discover, execute, and verify work for wealth management firms",
        "body": "**Playbook is an AI orchestration platform for wealth management firms.**\n\nInstead of waiting for a human to prompt an AI copilot, Playbook deploys persistent AI agents that continuously discover work, investigate it, execute workflows, and verify the results.\n\nToday, **\\~40 wealth management firms representing $660B in client assets are already on the platform.**\n\nWe’re launching Playbook publicly at:\n\n[**https://askplaybook.ai**](https://askplaybook.ai)\n\n![uploaded image](/media/?type=post&id=110475&key=user_uploads/1254758/9eb08224-7480-445e-baba-0808170dea5f)\n\n## The Problem\n\nWealth management firms have spent years digitizing their businesses.\n\nThey have CRMs, portfolio management systems, custodians, financial planning tools, document repositories, email, meeting notes, and increasingly, AI copilots.\n\nBut there’s still a fundamental problem:\n\n**Someone has to notice that work needs to happen.**\n\nConsider something simple.\n\nA client normally keeps $100K in cash. One morning, that balance becomes $600K.\n\nThere may be no email.\n\nNo task.\n\nNo meeting.\n\nNo explicit instruction telling an advisor to investigate.\n\nSomeone has to notice the change, understand why it happened, determine whether action is required, gather the relevant context, decide what to do next, execute the work, and make sure it was done correctly.\n\nAI copilots can make individual steps faster, but they still generally depend on a human to recognize the work, provide the context, and initiate the process.\n\nThat led us to a different question:\n\n**What if the work discovered itself?**\n\n## Introducing Playbook\n\nPlaybook is built around persistent AI agents that operate across a wealth management firm.\n\nAt the center is the **Playmaker** — an orchestration agent responsible for understanding what is happening across the firm and coordinating work.\n\nThe Playmaker delegates to specialized agents we call **Playrunners**.\n\nEach Playrunner can be responsible for a specific domain or workflow: portfolio monitoring, tax opportunities, estate planning, client follow-up, compliance, meeting preparation, or other operational work.\n\nTogether, they operate in a continuous loop:\n\n**Observe → Discover → Anticipate → Plan → Execute → Verify → Persist → Repeat**\n\nInstead of asking an advisor to constantly tell AI what to do, Playbook continuously looks for work worth doing.\n\n## How does it work?\n\nImagine again that a client's cash balance unexpectedly moves from $100K to $600K.\n\nPlaybook can detect the change and begin investigating.\n\nWhat caused the cash increase?\n\nWas there a security sale?\n\nDid money arrive from an external account?\n\nIs this expected based on an upcoming purchase or distribution?\n\nDoes the advisor already know about it?\n\nAre there investment, tax, or planning implications?\n\nPlaybook gathers the available context, determines what it knows and what it still needs to know, and brings the advisor the information and questions required to make a decision.\n\nFrom there, agents can coordinate the downstream work.\n\nThe important difference is that the advisor didn't have to discover the issue first.\n\n**The system discovered the work.**\n\n## Verification is the product\n\nAs we built Playbook, we became convinced that making agents capable of doing work is only half the problem.\n\nThe harder question is:\n\n**How do you know their work is correct?**\n\nAs AI generation becomes faster and cheaper, verification becomes increasingly important — especially in financial services.\n\nOur architecture separates execution from verification.\n\nThe agent performing a task should not simply be trusted to grade its own work.\n\nPlaybook uses independent verification steps to evaluate outputs, evidence, and completion before work is considered finished.\n\nThis creates another important principle for us:\n\n**Appropriate autonomy, not maximum autonomy.**\n\nHumans remain responsible for objectives, standards, risk boundaries, and judgment.\n\nThe agents handle the work within those boundaries, while consequential actions remain auditable end to end.\n\n## Why does this matter?\n\nThe traditional question around AI in wealth management has been:\n\n**\"How many hours can we save an advisor?\"**\n\nWe think there's a more interesting question.\n\nImagine a wealth management firm where the marginal cost of operational work approaches zero.\n\nSuddenly, the constraint isn't just employee time.\n\nThe question becomes:\n\n**What would you do for every client if your firm effectively had unlimited operational capacity?**\n\nWould you review every portfolio every day?\n\nContinuously search for tax opportunities?\n\nCheck every estate plan when circumstances change?\n\nPrepare for every meeting automatically?\n\nFollow up on every commitment?\n\nContinuously verify that nothing has fallen through the cracks?\n\nThat's the future we're building toward with Playbook.\n\n## Where we are today\n\nPlaybook is already being used by **\\~40 wealth management firms representing approximately $660B in client assets.**\n\nWe're working closely with these firms to understand what happens when AI moves beyond isolated copilots and becomes an operational layer across the enterprise.\n\nAnd we're just getting started.\n\n## The Ask\n\nWe're looking for a small group of wealth management firms that want to work directly with our engineers on **enterprise-wide agentic automation**.\n\nIf you run or work at a wealth management firm, we'd love to hear about the workflows you think agents should own.\n\nAnd if you're building agents yourself, we'd especially love feedback from the YC community on our approach to **persistent agents, orchestration, and independent verification.**\n\nCheck out Playbook:\n\n[**https://askplaybook.ai**](https://askplaybook.ai)\n\nWe'd love your feedback. 👋",
        "url": "https://www.ycombinator.com/launches/Sjr-playbook-ai-agents-that-run-wealth-management-operations",
        "votes": 5,
        "created_at": "2026-08-13T19:28:17.154Z"
      },
      {
        "id": 77718,
        "title": "Powder: Gen AI co-analyst that helps wealth advisors win new clients",
        "tagline": "We automatically generate beautiful proposals that highlight an advisor's value prop",
        "body": "Hey everyone! We’re [Kanishk](https://www.linkedin.com/in/diamondk/), [Dominic](https://www.linkedin.com/in/dominic-tully-b9418292/), [SooYung](https://linkedin.com/in/soo-yung-cho-53643811), [Jeff](https://www.linkedin.com/in/jeffrey-magder-3a62563/) and [David](https://www.linkedin.com/in/davidgoerz3/) from [Powder](https://powderfi.com).\n\n\\------\n\n**TLDR**: [Powder](https://powderfi.com) is building a generative AI co-analyst to help wealth advisors win new clients by automating the sales process.\n\n\\------\n\n**Problem**:\n\nWealth Advisors have an arduous sales process that has little transparency and leaves prospective clients unclear of the value they provide.\n\nAdvisors relying on their current manual operations are facing a tremendous challenge to scale.\n\nPowder is for wealth advisors who are:\n\n* Frustrated with burning costly analyst time making sense of prospects’ portfolio data\n* Dealing with very long sales timelines to win over prospects\n* Struggling to create beautiful presentations that highlight their value to prospects\n* Looking to leverage the latest technology to future-proof their firm\n\n**Solution**:\n\nHow can advisors stand out from the noise and close more prospects?\n\nBy leveraging Powder’s generative AI document and conversation extractor to rapidly leverage the prospect’s portfolio.\n\n![uploaded image](/media/?type=post&id=77718&key=user_uploads/30926/7f9f09fd-3369-49de-b99c-7b505c81a6e2)\n\nBy fine-tuning analytics that automatically demonstrates better investment returns, reduced portfolio risk, reduced tax consequences, and lowered investment fees.\n\n![uploaded image](/media/?type=post&id=77718&key=user_uploads/30926/14840681-c801-48df-83b2-cda90d62f686)\n\nCreating beautiful presentations that succinctly outline the benefits to the prospective client.\n\n![uploaded image](/media/?type=post&id=77718&key=user_uploads/30926/07d70c8a-5629-4027-bc04-879ebefca06d)\n\n**Who are we**:\n\nKanishk and SooYung previously founded [RCI Navigator](https://addepar.com/addepar-navigator) (acquired by Addepar).  Navigator is being used by 150+ firms including the biggest wealth advisors on the planet such as UBS and Morgan Stanley.  We repeatedly witnessed how sales were such a massive pain point.  We carried forward our expertise on how to build for and sell to wealth advisors.\n\nDominic worked at Addepar as both a Senior Account Executive and Senior Account Manager. He started his career at Goldman Sachs, where he worked in the Private Wealth Management division.\n\nDavid managed portfolio strategies for institutional asset owners for 33 years on mandates up to $30B in assets.\n\nJeff was the founding engineer at Arcade.xyz and an early BitGo employee.  He has 20 years of full-stack experience across multiple domains.\n\n**Ask**\n\nInterested advisors can sign up directly on our website - <https://powderfi.com> or set up a meeting with us - <https://calendly.com/powderfi/intro?month=2024-01>",
        "url": "https://www.ycombinator.com/launches/KDW-powder-gen-ai-co-analyst-that-helps-wealth-advisors-win-new-clients",
        "votes": 18,
        "created_at": "2024-01-22T15:12:53.197Z"
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    "id": 29471,
    "name": "Senso",
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    "website": "http://www.senso.ai",
    "all_locations": "Toronto, ON, Canada",
    "long_description": "Senso is building the infrastructure for the agentic web.\r\n\r\nAs AI agents replace websites as the primary interface for discovery, decisions, and commerce, enterprises need a new way to control how agents understand, reason over, and act on their data. \r\n\r\nSenso enables companies to register agent-first domains, ingest first-party enterprise data, and publish verified, structured ground truth that AI agents can safely answer from, recommend with, and transact against. \r\n\r\nOur platform continuously evaluates how models use this context and adapts it to gain authority across leading LLMs.\r\n\r\nWe are building the System of Record for Verified AI—powering AI discovery, agentic commerce, and post-transaction resolution across regulated and enterprise environments. ",
    "one_liner": "Control what AI says about you",
    "team_size": 8,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1704454195,
    "tags": [
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    "city": "Toronto",
    "country": "CA",
    "linkedin_url": "https://www.linkedin.com/company/senso.ai",
    "x_url": "https://twitter.com/gosenso",
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        "user_id": 174638,
        "full_name": "Saroop Bharwani",
        "title": "Founder",
        "founder_bio": "Saroop Bharwani, a tech entrepreneur and AI thought leader, is the co-founder of Senso.ai, a company that delivers generative AI solutions to enterprises preparing to compete in the Age of AI.  ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/saroopbharwani",
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      {
        "user_id": 1521439,
        "full_name": "Thomas Nelson",
        "title": "Founder",
        "founder_bio": "Innovative tech leader and AI enthusiast, Thomas is passionate about harnessing technology to enhance business intelligence and productivity. His diverse background in computer science and neuroscience, coupled with hands-on experience in startups and tech development, drives his success at Senso.ai.",
        "is_active": true,
        "linkedin_url": "https://ca.linkedin.com/in/thomas-nelson-35137b155",
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    "jobs": [
      {
        "id": 89648,
        "title": "Account Executive | GEO & Agentic Commerce",
        "url": "https://www.ycombinator.com/companies/senso/jobs/R6HCKpD-account-executive-geo-agentic-commerce",
        "location": "New York, NY, US / San Francisco, CA, US / Remote (Toronto, ON, CA; Toronto, Ontario, CA)",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$130K - $200K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
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      },
      {
        "id": 89835,
        "title": "Head of Sales ",
        "url": "https://www.ycombinator.com/companies/senso/jobs/iihFD4e-head-of-sales",
        "location": "San Francisco, CA, US / New York, NY, US / Toronto, ON, CA / Toronto, Ontario, CA / Remote (US)",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$200K - $500K",
        "equity_range": "",
        "experience": "11+ years",
        "visa": "US citizen/visa only",
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      },
      {
        "id": 94210,
        "title": "Customer Success Specialist",
        "url": "https://www.ycombinator.com/companies/senso/jobs/TfpVA51-customer-success-specialist",
        "location": "Toronto, ON, CA / San Francisco, CA, US / Remote (US; CA)",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$60K - $65K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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    ],
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    "launches": [
      {
        "id": 77419,
        "title": "Senso: AI-Powered knowledge base designed for Credit Unions",
        "tagline": "We empower marketing and support teams with LLM generated insights to expand customer relationships",
        "body": "**TL;DR:**  In traditional industries like financial services, knowledge feels stuck.  Existing knowledge bases weren’t designed for LLMs, and the time it takes for marketing and support teams to access information negatively impacts retention, loyalty, and sentiment.  Senso is building an AI-powered knowledge base to expand customer relationships, starting in the Credit Union space.\n\n### **THE TEAM**\n\nHey YC! \n\nWe’re Saroop and Tom, the founders of [Senso.](https://senso.ai/) Over the past decade, we’ve been developing AI solutions for banks and credit unions, which provide marketing and support teams with insights to boost customer retention rates. \n\n![](https://lh7-us.googleusercontent.com/DAfnwslYaXLHlOwYDuTl2NRqS8xF2yykeRCwLt2h5lOnasJNX6KT_sGiK5eArtdcO_vVGruqBTLT_ygSd76mPmbrICMMdBX16FGO7OHl0-lZbWe5dHrYKGmmFnkKoP6tmk9BQAZPHfKZiGCB80AB5cs)\n\n![](https://lh7-us.googleusercontent.com/F8grB5SIoPZ_vbvBAWd2S0I4SHpNIwGbYHu9PRBBLqUZaQjnVwCOkoVCWZhYAsSmm8zQlXHN7VLkRIGZsCmTSYql37Sd3hcet5UdSDKz8TpeZ8Y7mDFCpWLec8Mi0wo7XwsZJpszME2gWgKDrw-xHf8)\n\nConsider the following scenarios, which we see happen over and over again: \n\n* You contact your financial institution only to be put on hold for up to 10 minutes and then transferred to another department.  \n* You get offers which are not at all relevant to your life circumstances.\n\nSound familiar? This type of experience has become the norm in industries like financial services leading to frustrated customers and missed opportunities. \n\n### **PROBLEM**\n\nWe’ve started in the US Credit Union industry. Why Credit Unions? Because expanding member relationships is their highest priority. Currently, inefficient means in accessing information, policies and procedures, and past behavior bring unexpected overhead.  A few examples:\n\n1. **Service Delays:** 40% of members are put on hold by support teams, sometimes for up to 5-7 minutes, due to difficulties in accessing policies, procedures, and member information.\n2. **Marketing Relevance:** Marketing teams face 2-4 week delays in obtaining behavioral data, resulting in missed opportunities to provide personalized service.\n\nThese challenges, common across nearly 5000 Credit Unions, stem from an inefficient system for aggregating data and surfacing member behavior, intent, interactions, and policies & procedures in a timely fashion.\n\n### **SOLUTION**\n\nSenso is building an AI-powered Knowledge Base designed for traditional enterprises, starting with Credit Unions. Our product provides a flexible way to centralize enterprise knowledge, such as documents and conversational data, that LLMs utilize to improve information flow across support and marketing teams.\n\nOur GTM strategy is to partner with industry leaders to distribute our product. In the Credit Union space, we’ve partnered with [CU 2.0](https://cu-2.com/) to launch an industry-specific version of Senso called _CuCopilot_, built using our APIs.\n\nHere’s an example of how our growing customer base is using our product to provide more timely and personalized service to members.\n\n1. Ingest and summarize thousands of conversations so that support and marketing teams can understand what members are asking. Examples of metrics surfaced are sentiment and call purpose.\n\n   ![uploaded image](/media/?type=post&id=77419&key=user_uploads/174638/10e5893a-1b2d-45ea-86c1-fedca7b51580)\n\n2. In this example, the Credit Union decides to track members speaking about loan and account openings, and sets a frequency to auto-generate weekly FAQ’s based on interactions.\n\n   ![uploaded image](/media/?type=post&id=77419&key=user_uploads/174638/4df28765-c44b-4c70-a05e-8265a7652fcc)\n\n3. Once the FAQ is generated, support agents can better answer questions related to loan and account openings by searching for auto-generated responses.\n\n   ![uploaded image](/media/?type=post&id=77419&key=user_uploads/174638/a187222e-e718-43b7-8044-1d343f16f440)\n\n\nOne of our customers, TruStone Financial, has seen a significant uptick in the speed in which they are able to answer questions, and their documentation has improved response quality significantly.\n\n![uploaded image](/media/?type=post&id=77419&key=user_uploads/174638/9577b7e4-2d4a-4bb5-9982-41fce71918cc)\n\n### **ASKS FROM FOUNDERS**\n\n1. **Know anyone at a Credit Union?**  If our product may be of interest to anyone running a P&L, an introduction would be appreciated.\n2. **Developers:**  We’ve onboarded API partners like [TribalScale](https://finance.yahoo.com/news/tribalscale-partners-senso-ai-unleash-150000474.html?guccounter=1&guce_referrer=aHR0cHM6Ly93d3cuZ29vZ2xlLmNvbS8&guce_referrer_sig=AQAAAJ5FFiJ4Pej-4tSgYnh45PteFM4xrVRuwXZZK3mvqK-lUuciuSI9jY88Qq7pom6NihzRn_otmzscFaXUov7dVagdrP2C-ZVpmIHbxdyR9N4P7PlewKr1KQdt7hZlCgiBeemMC-EHObWOeEYPwiYj4OdcjifctXfZVtvtxXacNFw4) and [Fundmore](https://ncfacanada.org/fundmore-x-senso-ai-launch-solution-to-transform-lending/) to launch AI-powered knowledge bases in their products and industries. If you’re a developer interested in doing the same, we’ll set you up with an API Key.\n3. **YC Alum:**  While our solution has primarily been targeted at Credit Unions, we are getting demand from other industries, and if our solution is of interest to you, please reach out to explore.\n4. **Fellow Founders:** We look forward to getting to know you!  Please reach out if there’s a potential partnership opportunity.\n\n**Follow us:** [LinkedIn](https://www.linkedin.com/company/senso.ai/), [X](https://twitter.com/gosenso), and [Facebook](https://www.facebook.com/sensoai).\n\nFeel free to get in touch: [hello@senso.ai](mailto:hello@senso.ai)\n\nThank you,\n\nSaroop & Tom",
        "url": "https://www.ycombinator.com/launches/K8h-senso-ai-powered-knowledge-base-designed-for-credit-unions",
        "votes": 150,
        "created_at": "2024-01-10T22:54:49.703Z"
      }
    ]
  },
  {
    "id": 29474,
    "name": "Spur",
    "slug": "spur",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5b63801706e3874e4f1017433f3c6a3ce0dddbca.png",
    "website": "https://www.spurtest.com/",
    "all_locations": "New York City, NY, USA",
    "long_description": "Every company is about to run two systems: one that generates software and one that validates it. Spur is the second one.\r\nSpur runs specialized agents against the real product the way a customer would use it: functional, visual, content, native iOS and Android on real devices, and accessibility and compliance.",
    "one_liner": "Spur is the validation infrastructure enterprises use to ship at the…",
    "team_size": 15,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1724126992,
    "tags": [
      "Developer Tools",
      "B2B",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Active",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": [
      {
        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "Anushka and I met our freshman year at Yale. We did research at the Yale NLP Lab on web agents. Sneha previously worked on growth at Figma, and Anushka on codegen at DeepMind. We’ve hacked on our fair share of projects before — and have very much felt the pain of neglecting testing."
      }
    ],
    "url": "https://www.ycombinator.com/companies/spur",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/spur.json",
    "year_founded": 2024,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/spur-test/",
    "x_url": "https://x.com/spurtest_",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5b63801706e3874e4f1017433f3c6a3ce0dddbca.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [
      "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/d0b2146b0958725a519024f07961ae162fb2607a.png"
    ],
    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
    },
    "founders": [
      {
        "user_id": 700570,
        "full_name": "Sneha Sivakumar",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder and CEO at Spur. Previously, Growth Engineer at Figma and Snap. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/sivakumarsneha/",
        "x_url": "https://twitter.com/sneha8sivakumar",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/80c64e0d9f5d6fd339920417c26232270a2460f3.jpg"
      },
      {
        "user_id": 1599382,
        "full_name": "Anushka Nijhawan",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder and CTO at Spur. Previously @ Yale CS, Deepmind, and Meta.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/anushka-nijhawan-8380361b1",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9d242d62abeffc70cc41a23e1cb30e103c74ef52.jpg"
      }
    ],
    "jobs": [
      {
        "id": 71504,
        "title": "Founding Engineer / Full Stack",
        "url": "https://www.ycombinator.com/companies/spur/jobs/nmQ6lJD-founding-engineer-full-stack",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$130K - $225K",
        "equity_range": "0.20% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
          "Python",
          "TypeScript",
          "Next.js"
        ]
      },
      {
        "id": 79490,
        "title": "Founding Designer",
        "url": "https://www.ycombinator.com/companies/spur/jobs/GoFbA9F-founding-designer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Design",
        "role_type": "Product design",
        "salary_range": "$140K - $220K",
        "equity_range": "0.05% - 0.20%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Figma"
        ]
      },
      {
        "id": 82112,
        "title": "Founding Engineer Infra/Backend - Spur",
        "url": "https://www.ycombinator.com/companies/spur/jobs/cQGJFb3-founding-engineer-infra-backend-spur",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$180K - $250K",
        "equity_range": "0.40% - 0.60%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Amazon Web Services (AWS)",
          "Microsoft Azure",
          "Kubernetes",
          "Python",
          "Docker"
        ]
      }
    ],
    "news": [
      {
        "title": "YC Alumni Spur Just Raised $4.5M for Their AI Agent Qa Startup - Business Insider",
        "url": "https://www.businessinsider.com/yale-alumni-spur-funding-ai-agent-startup-2025-4?type=social",
        "date": "Apr 17, 2025"
      },
      {
        "title": "Y Combinator | Yale grads Sneha and Anushka begins tech startup",
        "url": "https://www.globalindian.com/youth/story/global-indian-exclusive/from-classroom-to-startup-yale-grads-sneha-and-anushka-turn-class-project-into-a-tech-startup/",
        "date": "Sep 17, 2024"
      },
      {
        "title": "With launch of tech company Spur, recent grads discuss the hectic, exciting startup life | Yale School of Engineering & Applied Science",
        "url": "https://seas.yale.edu/news-events/news/launch-tech-company-spur-recent-grads-discuss-hectic-exciting-startup-life",
        "date": "Sep 08, 2024"
      }
    ],
    "launches": [
      {
        "id": 116412,
        "title": "Spur - testing infrastructure for your mobile apps",
        "tagline": "test and validate your mobile apps in plain english.",
        "body": "hey everyone 👋 we're Sneha and Anushka, co-founders of [Spur](https://www.spurtest.com/).\n\n### **TL;DR** Spur is building the validation infrastructure for software teams. We started with web testing, and today we're launching native app testing across iOS and Android.\n\nSpur is building the validation infrastructure for software teams. We started with web testing, and today we're launching native app testing across iOS and Android.\n\nSpur's agents test your apps the way real users do. You define the behavior you want to test in natural language, and Spur figures out how to execute and validate it across iOS and Android, native interactions, and web views.\n\nTeams at HelloFresh, Nextdoor, DocuSign, Bilt, Alo Yoga, and Abercrombie are already using Spur for testing across their digital experience – on websites and on their apps.\n\n**Our Ask:** If you’re building and maintaining a mobile app, we'd love to help you test it.\\\nBook a demo:[ https://spurtest.com/book-a-demo](https://spurtest.com/book-a-demo)\n\n## **The problem**\n\nSoftware is getting generated faster than ever: features that used to take days to build are now generated in minutes. But - once the feature exists, someone still has to figure out whether it actually works.\n\nThat validation process hasn't sped up at the same rate.\n\nIf you’re shipping mobile apps, this gets even harder. The same product flow often turns into separate automation for ios and android. Teams maintain the tests, the device infrastructure they run on, and the CI setup around them.\n\nAnd as your product changes, your automation has to change with it.\n\n## **The solution**\n\n1. **Natural Language allows you to define the “intent” of a test:**\n\n   Most test automation describes exactly _how_ to use an application.\n\n   _Find this element. Tap it. Wait for another element. Enter text. Assert a value._\n\n   That makes the test tightly coupled to the implementation. Spur tests describe what the user should be able _to do_ instead.\n\n   _Add an item to cart, apply a promo code, and complete checkout with Apple Pay._\n\n   The test captures the intent of the flow. Spur figures out how to execute it against the application in front of it. This means the same test can keep working across platforms or ui changes, because the thing you’re testing - the user behavior - hasn’t changed.\n2. **Spur runs the infrastructure too**\n\n   You upload the builds and choose what you want to validate. Spur handles the environment those tests execute in and runs them on our infrastructure. That means mobile testing becomes much closer to:\n\n   _build → upload → validate_\n\n   instead of becoming its own infrastructure project.\n\n   Tests can run as part of a release, against a pull request, on a schedule, or whenever an engineer wants to validate a change.\n\n   ![uploaded image](/media/?type=post&id=116412&key=user_uploads/700570/52f7df91-1940-4f7c-a2df-4299adbee3e3)\n\n3. **Built for engineers and agents**\n\n   As more software is written by coding agents, we think validation also needs to become something agents can use directly.\n\n   MCP is a first-class interface to Spur. A coding agent can make a change, ask Spur to validate the relevant user flows, inspect the result, fix what failed, and run the validation again.\n\n   So the loop starts to look like:\n\n   _generate → validate → fix → validate → ship_\n\n   Humans can define the intent, using anything as context (tickets, figma files, PRDs, your codebase). Agents can continuously check whether the software still satisfies it.\n\n   ![uploaded image](/media/?type=post&id=116412&key=user_uploads/700570/1438d0de-f515-48cf-8f6c-4c478e4a7dba)\n\n\n## **Why we built this**\n\nWe've spent the last few years building testing infrastructure for large software teams.\n\nOne thing has become increasingly clear: writing software is becoming dramatically easier, while proving that software works is still slow and expensive.\n\nWe think the gap between software generation and our ability to validate it is only going to widen.\n\nThe future of testing isn't maintaining more and more scripts. Validation needs to become more intelligent, adaptive, and be able to keep up with the rate at which software is changing.\n\nThat's what we're building at Spur.\n\nIf you're building or maintaining a mobile app, we'd love to work with you: <https://spurtest.com/book-a-demo>.",
        "url": "https://www.ycombinator.com/launches/UHc-spur-testing-infrastructure-for-your-mobile-apps",
        "votes": 20,
        "created_at": "2026-09-23T15:09:11.428Z"
      },
      {
        "id": 83237,
        "title": "✨ Spur - Your AI QA Engineer",
        "tagline": "Spur lets you test your website with natural language.",
        "body": "# **TL;DR: Spur lets you test your website with natural language.**\n\n## You can launch web agents that mimic exactly what your users do on your platform, so you can ensure your product doesn’t fail your users.\n\n---\n\n### Launch Day Deal 🎉\n\nAs part of launch day, we are offering to help you set up tests for your **core flows** on [signup](https://tally.so/r/n9WR4Q) for free. \\\nUse the code `SPUR_LAUNCH` on signing up to redeem this deal.\n\n—\n\n# Here’s how it works! (A flow we test for the YC Tech Team)\n\nAn example test for YC’s Application Portal to Invite Co-Founders\n\n![uploaded image](/media/?type=post&id=83237&key=user_uploads/700570/14e90a74-1b37-42e0-b36b-f6cc3b5d31aa)\n\n<https://www.loom.com/share/bbab011b36904f4ea6d97a85225c7c30?sid=2023cab4-e476-4574-9ad3-f5daf34d4d89>\n\n# **⛔️ The Problem (Do we even need to get into this?)**\n\nA. Testing is TIME-CONSUMING and PAINFUL. 🤕\n\n* whether you write a test\n* or manually check (or maybe not check) your core flows every single time you merge to production\n\nB. Tests are not MAINTAINABLE; they break! 🛠️\n\n* Your UI is constantly changing, and maintaining test scripts is a tedious task.\n\n## **✨ The Solution**\n\nOn Spur, you can:\n\n* Write automated tests in minutes (_not hours_) with natural language 💨💨\n* Not worry about maintaining tests when your UI changes 💅\n\n  _We use multimodal agents that interact with your web pages exactly like users would. Tests are not bound to CSS selectors_\n\n## **🧡 The Team behind Spur**\n\n[Anushka](https://linkedin.com/in/anushka-nijhawan-8380361b1) and I met our freshman year at Yale. We did research at the Yale NLP Lab on web agents. [Sneha](https://www.linkedin.com/in/sivakumarsneha/) (here!) previously worked on growth at Figma, and Anushka at DeepMind. We’ve hacked on our fair share of projects before — and have very much felt the pain of neglecting testing.\n\n![uploaded image](/media/?type=post&id=83237&key=user_uploads/700570/6ceb23f3-b013-4f80-a2f0-04e4c1539ba3)\n\n## **🤝 Our Ask**\n\n### **If this problem is one that you face, try us out!**\n\n* Book a [demo](https://calendly.com/sneha-sivakumar-1/30min)\n* [Sign up!](https://tally.so/r/n9WR4Q) We are live and actively onboarding customers every single day\n\nOur customers have found a **lot** of value from using us so far, and we’d love to take testing off your plate. Here is what some of them have said :)\n\n> Spur is shockingly easy to use—no coding, just plain English. Simply describe what you want to test, and Spur handles the rest. Onboarding was a breeze, and Anushka and Sneha are fantastic to work with.\n>\n> _\\- Eve Bouffard, Product Engineer @ YC Tech Team_\n\n> I’m gonna see if I can expense Spur through my wellness stipend. Category: Therapy\\\n> \\- Gabe Wilson, Founder & CTO @ Terrakotta\n\n> We had a HUGE UI revamp and are still able to test easily without needing maintenance, not a single test has broken due to flakiness. They mean it when they say their tests are reliable. \\\n> \\- Joseph Parker, Founder & CTO @ VecFlow\n\n> We’ve been using Spur and it’s been AMAZING — unlike all the competitors that we’ve tried, they actually work! Can highly recommend.\\\n> \\- Konsti Wohlwend, Founder @ StackAuth",
        "url": "https://www.ycombinator.com/launches/LeX-spur-your-ai-qa-engineer",
        "votes": 187,
        "created_at": "2024-08-20T18:33:59.716Z"
      }
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  },
  {
    "id": 29477,
    "name": "Piramidal",
    "slug": "piramidal",
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/498bf9290381446bf87d93fc0ef2a631960e646a.png",
    "website": "https://piramidal.ai",
    "all_locations": "New York City, NY, USA",
    "long_description": "Understand & control neural syntax.",
    "one_liner": "Foundation Model for the Brain",
    "team_size": 10,
    "industry": "Healthcare",
    "subindustry": "Healthcare",
    "launched_at": 1709089066,
    "tags": [
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      "Partly Remote"
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    "url": "https://www.ycombinator.com/companies/piramidal",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/piramidal.json",
    "year_founded": 2024,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/piramidalai/about",
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        "user_id": 1662387,
        "full_name": "Dimitris Fotis Sakellariou",
        "title": "Founder/CEO",
        "founder_bio": "Founder and CEO at Piramidal. Spent four years at IQVIA shipping foundational AI code to production scaled for pharma and healthcare clients. Have conducted EEG research for 12 years, authored peer reviewed publications, spent more than four years in research hospitals conducting long-term EEG recordings, reviewing EEG recordings with expert epileptologists, participated in brain surgeries, and built capability around the brain. King's College London alum.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/sacellarius",
        "x_url": "https://twitter.com/dsacellarius",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/84bf0389a3a4b0642d6bc3158cf3b1b2331b6af5.jpg"
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    "jobs": [
      {
        "id": 74300,
        "title": "Research Engineer - Foundational AI",
        "url": "https://www.ycombinator.com/companies/piramidal/jobs/neQ9JaN-research-engineer-foundational-ai",
        "location": "New York, NY, US / London, England, GB",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$120K - $280K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
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          "Torch/PyTorch",
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        "id": 85439,
        "title": "Front End Engineer - User Interface",
        "url": "https://www.ycombinator.com/companies/piramidal/jobs/EBwEaGc-front-end-engineer-user-interface",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
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        "id": 117065,
        "title": "Senior Backend Engineer - Platform",
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        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
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    "news": [
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        "title": "Piramidal's foundation model for brain waves could supercharge EEGs | TechCrunch",
        "url": "https://techcrunch.com/2024/08/23/piramidals-foundation-model-for-brainwaves-could-supercharge-eegs/",
        "date": "Aug 23, 2024"
      }
    ],
    "launches": [
      {
        "id": 78840,
        "title": "Piramidal: Foundation model for the brain 🧠",
        "tagline": "Get instant diagnosis for the vast majority of neurological conditions using our Foundational AI.",
        "body": "### **What is a brain foundation model?**\n\nWe are building a foundation model, from the ground up, trained on a massive and diverse corpus of brainwave data i.e. Electroencephalography (EEG). In other words, similar to how Large Language Models (LLM) are trained on human language ie. text, our model is trained on brain language ie. brainwaves. \n\nOur foundation model will be able to understand and detect the many facets of brain activity, from disease to wellbeing. Crucially, **similar to how ChatGPT can be fine-tuned to become a lawyer or a python developer, our brain foundation model will easily be fine-tuned to become a neurologist co-pilot or a biomarker discovery assistant.** And, this is only our first milestone - more on this below.\n\n![uploaded image](/media/?type=post&id=78840&key=user_uploads/1662387/900c449d-eefe-4a06-a12b-60617c60c437)\n\n### **The opportunity**\n\nOur brain foundation model will address a variety of use cases with minimal training, such as:\n\n* **Diagnosis** of a vast majority of neurological conditions.\n* Drug and **biomarker discovery** in clinical trials. \n* **Remote monitoring** of brainwave abnormalities, e.g., treatment response to drugs or sleep irregularities.\n* Real-time tracking of brain health, such as cognition or head injuries, measured through **helmets in sports and military**.\n* Empowering devices such as **Apple Vision Pro and Meta Quest** to translate brain signals into everyday actions.\n\n### **Why are we starting with neurological conditions?**\n\nDuring his PhD at London's St Thomas' EEG department, Dimitris discovered a key insight: EEG is a crucial test for neurological disorders, but its manual review process is both slow and error-prone. Specifically:\n\n* **Neurologists manually inspect the EEG** brainwaves to identify abnormal patterns. This can lead to a 30% margin of error and crucially misdiagnoses.\n* There is a **substantial rise of EEG data** being collected, due to the deployment of  remote EEG devices. Despite these remote devices continuously recording patients at home, there is no way to review this enormous and continuous stream of incoming data. \n* Conversely to the upward EEG data trend, **there is an extreme shortage of neurologists** leading to wait times lasting several months.\n\n### **Our first product**\n\nOur first product is **a copilot for epilepsy diagnosis**. The product, which is powered by our brain foundation model, will assist neurologists by obtaining diagnostic insights around a patient’s EEG, in real time. This approach cuts down the time to review EEG from hours to seconds. Additionally, our standardized EEG analysis reduces the margin of error from manual inspection, which in many cases leads to misdiagnosis and recurrent hospital visits.\n\nShortly after epilepsy, we will fine tune our foundation model to provide diagnosis for a vast majority of other conditions such as sleep and cognitive disorders.\n\n### **Who we are**\n\nWe are [Dimitris](https://www.linkedin.com/in/sacellarius/) and [Kris](https://www.linkedin.com/in/kris-pahuja-a59a905b/). Dimitris has a **PhD in neuroscience and AI**, and has been working on EEG for 12 years, but also shipped production level AI as a deep learning lead at IQVIA. Kris has a product background, building **healthcare and AI products across Google and Spotify**. We are both avid musicians and love punk rock. \n\n### **Our ask..**\n\nWe are looking for intros to:\n\n1. Neurologists, sleep doctors, neurotech companies, or companies in clinical trials in order to sign LOIs. We can automate the analysis of the brainwave (EEG) data at a fraction of their current cost.\n2. Academic or healthcare institutions that store EEG data. In exchange for accessing their EEG records, we will provide our model for free for research purposes.\n\nYou can send them our way to [info@piramidal.ai](mailto:info@piramidal.ai)!\n\nPlease also share our post and spread the world - you never know who it might help! 🖤",
        "url": "https://www.ycombinator.com/launches/KVc-piramidal-foundation-model-for-the-brain",
        "votes": 146,
        "created_at": "2024-02-28T04:10:49.070Z"
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        "full_name": "Omar Abuhashish",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder and CEO of Reform. BS in CS and mechanical & aerospace engineering from NYU. Prior to Reform, worked on new products at CoinTracker (YC W18) and was engineer #1 at Altan Insights.",
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        "full_name": "Pradhit Gosula",
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        "title": "Forward Deployed Engineer",
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        "location": "San Francisco, CA, US",
        "type": "Full-time",
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        "visa": "US citizen/visa only",
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        "title": "Recruiting Lead",
        "url": "https://www.ycombinator.com/companies/reform/jobs/ei44CKT-recruiting-lead",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Recruiting & HR",
        "role_type": "Recruiter",
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        "equity_range": "0.20% - 0.50%",
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        "id": 84525,
        "title": "Software Engineer",
        "url": "https://www.ycombinator.com/companies/reform/jobs/vWBAFlT-software-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
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        "title": "Licensed Customs Broker",
        "url": "https://www.ycombinator.com/companies/reform/jobs/b05roZC-licensed-customs-broker",
        "location": "San Francisco, CA, US",
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      {
        "id": 79036,
        "title": "Reform: The fastest way to build modern logistics software",
        "tagline": "Development tools for logistics engineering teams",
        "body": "👋 Hello world! It’s [Saif](https://www.linkedin.com/in/saifabuhashish/), [Omar](https://www.linkedin.com/in/omarabuhashish/), and [Pradhit](https://www.linkedin.com/in/pradhit/) here to introduce you to [Reform](https://www.reformhq.com/)!\n\n🤓 **TL;DR**\n\nReform is the easiest way for dev teams to build modern logistics software fast. Logistics service providers use our pre-built components and APIs to build software that can automate tasks such as quoting, shipment creation, and customs clearance filing. \n\nOne of the largest freight forwarders in Latin America is using Reform to automate shipment creation and invoice processing.\n\n\\\n**❌ Problem**\n\nLogistics service providers rely on dated, archaic ERP and transportation management systems (TMS) to manage their operations. These systems are rigid, closed, and opinionated. Oftentimes, they require customization, and hence, the need for logistics service providers to hire development agencies to build bespoke customizations and internal tools on top of these systems to make them easier to work with. \n\nAn alternative these companies resort to is to build an internal system from scratch to fit their business needs. However, such an undertaking is long, costly, and is oftentimes a distraction from their core business.\n\n\\\n**⚒️ Solution**\n\n**Reform is the sweet spot between buying a generic off-the-shelf TMS and building one in-house**. Our APIs and pre-built components allow logistics service providers to build the modern transportation management system they need - faster, better, and without the maintenance overhead.\\\n\\\nOur first product is an AI-powered API suite that allows logistics service providers to build custom automations for mundane tasks related to their TMS. \\\n\\\nOur APIs are used to power automation use cases including:\n\n🚢 Shipment and quote creation\n\n👮 Customs clearance filing\n\n🏭 Warehouse order intake\n\n🧾 Invoice reconciliation\n\n\\\n⚙️ **How it works**\n\n**Eliminate manual document analysis:** Our customizable AI-powered data extraction API, purpose-built for the logistics industry, allows you to extract data with high accuracy from incoming emails and documents including commercial invoices, BOLs, packing lists, and more.\n\n![uploaded image](/media/?type=post&id=79036&key=user_uploads/1369382/b3cfab82-392b-4fee-853c-1adaed324808)\n\n\\\n**Integrate with any TMS**: Our Universal API allows you to plug extracted data into any system without the burden of building and maintaining integrations.\n\n![uploaded image](/media/?type=post&id=79036&key=user_uploads/1369382/259bb079-8490-4260-b8b8-fc598221c91b)\n\n**Build beautiful interfaces:** Our headless UI components allow you to embed our APIs directly in your products and customer-facing dashboards.\n\n![uploaded image](/media/?type=post&id=79036&key=user_uploads/1369382/1200b04a-798a-44ea-8de9-0bbe694a316c)\n\n**Meet The Team**\n\n![uploaded image](/media/?type=post&id=79036&key=user_uploads/1369382/28bdbda5-b565-4a50-8d9d-919bed1cac4f)\n\nSaif and Omar are brothers, born and raised in Jordan, before moving to the US to pursue a career in technology. Saif built warehouse robotics at Amazon, conversational AI at Capital One, and category-defining SaaS at Drift. Omar was a founding engineer at Altan Insights, followed by building 0 → 1 products at CoinTracker (YC W18). Omar was also Pradhit’s favorite co-worker at CoinTracker, where together, they led the new products team. Before that, Pradhit was at Microsoft where he built data pipelines to process petabytes of telemetry data.\\\n\\\n🙏 **Asks**\n\n* If you know any freight forwarders, 3PLs, or logistics software providers that might be interested in Reform, send them our way!\n* Think we can help, have questions or feedback? [Book a call](https://calendly.com/omar-abuhashish/20-min) or reach out to us at [founders@reformhq.com](mailto:founders@reformhq.com)!",
        "url": "https://www.ycombinator.com/launches/KYm-reform-the-fastest-way-to-build-modern-logistics-software",
        "votes": 62,
        "created_at": "2024-03-04T20:39:40.112Z"
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    "team_size": 10,
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    "subindustry": "Healthcare",
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        "user_id": 1125239,
        "full_name": "Barbora Howell",
        "title": "Founder/CEO",
        "founder_bio": "Barbora got her MBA at Stanford. She joined Hinge Health as employee #30 where she built and ran a number of functions, including HR, benefits and customer billing. After scaling Hinge Health to >700 employees and hundreds of customers, Barbora ran clinical operations at Pine Park Health - a primary care provider for residents of assisted living facilities and a YC company - where she served on the executive team and was in charge of member support, care coordination and more.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/podzimkovab",
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        "full_name": "Bobby Bayer",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder and CTO of TrueClaim (W24). Previously, Bobby spent 7 years as Senior Software Engineer building and scaling health tech solutions at pMD. He established and grew pMD’s RCM software and services divisions as Software Engineering Manager. Prior to that, he launched patient engagement software as a Senior Software Engineer. 30% of the revenue growth at pMD during his tenure could be directly attributed to a product that he launched.",
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        "id": 82411,
        "title": "Health Plan Operations Specialist",
        "url": "https://www.ycombinator.com/companies/trueclaim/jobs/XfS9tdo-health-plan-operations-specialist",
        "location": "San Francisco, CA, US / Remote (US)",
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        "id": 93228,
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        "type": "Full-time",
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        "id": 93229,
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    "news": [
      {
        "title": "The 18 most interesting startups from YC’s Demo Day show we’re in an AI bubble",
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        "date": "Apr 03, 2024"
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    ],
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      {
        "id": 82888,
        "title": "TrueClaim: The world's first transparent, AI-enabled healthcare TPA (that doesn't suck)",
        "tagline": "Do you run a self-insured company? Try TrueClaim.",
        "body": "# TL;DR TrueClaim is launching the world’s first transparent, AI-enabled healthcare third-party administrator for self-insured companies. Our technology saves 7% of healthcare costs with no change in benefits.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXd330rcwyKAbzotz0OObzIOs_JWDEXzzgCk1x3obUhZs4ZJS0cF_LIglovUqHIoPsEe5ITuLtZqKZVp5te5tfJ_jVdIC2tExxkLDcS9gpqBqmnLilhLaXTVTYk73pb7ur0WXaWRVo_bfvqsSl858uEk2UA5?key=kUzqH6YgtferRadsNsWOWw)\n\n**Healthcare is expensive…**\n\nHealthcare benefits represent the second largest budget item in companies. While large corporations have internal resources and leverage to customize their plans, companies with <1,000 employees struggle to keep up. Healthcare costs are projected to grow by another 7% in 2025. Once again, employers will have to choose between increasing their expenditures, passing these extra costs onto their employees, or worsening benefits.\n\n**…and we’ll fix it**\n\nTrueClaim uses healthcare data and technology to enable benefits teams to offer better benefits at a lower cost. Our AI-enabled engine adjudicates and continuously reviews 100% of medical expenditures to save over 7% of healthcare costs. The savings can be as high as 20-30% when our benefits design suggestions are implemented.\n\n_This platform = Quickbooks for healthcare benefits expenditures_\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeapGNXENFUScw2eAohjkZSPT3j3cwdbRP1OHxVIWQMtq5fCNjPFd3VyLTdpKIY5Skhhl0M1ouBw2EI4S4SDj6sywJ_ZQDz71EIJsZXhoU4Oti3th7dG6xkZCRUuzjs_jc_4LTnNDCJQt_lv7_DyZjIGxvn?key=kUzqH6YgtferRadsNsWOWw)\n\n_This app = how a member knows they can get better cheaper healthcare_\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXdat2XUZvAVJcj_2WH2JueXck-rt7yZAAfGZIWyE0ea3_HsXypFg9x_e0KaJYwYAigh3hJTG1nzPIhWFPHWc46Z4BC5dZcGE96Hqz03849gDj3MBWZPFVKXVNZ00DsHJfT-DzFcau5jCrUcL_0LlGRXtjU?key=kUzqH6YgtferRadsNsWOWw)\n\n**Not so fast!**\n\nOur first product reviewed medical bills for errors. It turns out that people don’t like interacting with their medical bills (surprise but no surprise). Naturally, we offered a similar solution to companies. Long story short, the best way to deliver on our vision to save 1.5% of GDP while improving quality of care is to be in the middle of healthcare transactions. If you are running a self-insured company and you just got curious, we should chat. \n\n**Who are we?**\n\n[Barbora](https://linkedin.com/in/podzimkovab) (CEO) ran HR, Benefits and Billing as Senior Director of Operations & Strategy as employee #30 at Hinge Health. [Bobby](https://linkedin.com/in/rwbayer) (CTO) built an end-to-end revenue cycle management platform as Senior Engineering Manager at pMD. [Dr. Leider](https://www.linkedin.com/in/hleider/) (Chief Medical Officer) is a board-certified internist with over 25 years of experience as a physician-executive, including serving as CMO of Walgreens.**\\\n\\\nOur Asks**\n\nTrueClaim is currently quoting customers with 1/1/25 benefits renewal dates. This is a crucial time for our company, and we’d appreciate your help:\n\n* Share this post! \n* Connect us with self-insured companies &/or their brokers and consultants\n  * \\* quick blurb to copy & paste: A team of experienced healthcare founders recently launched a new transparent healthcare TPA for self-insured companies that saves 7% of healthcare costs without a change in benefits. Check them out and contact [founders@trytrueclaim.com](mailto:founders@trytrueclaim.com) for more.",
        "url": "https://www.ycombinator.com/launches/LYu-trueclaim-the-world-s-first-transparent-ai-enabled-healthcare-tpa-that-doesn-t-suck",
        "votes": 18,
        "created_at": "2024-08-09T16:15:41.143Z"
      },
      {
        "id": 79378,
        "title": "👩‍⚕️ TrueClaim: Automating healthcare cost savings for companies",
        "tagline": "Our technology saves self-insured companies 7% of their healthcare budget.",
        "body": "👋 Hi\n\nWe’re [Barbora](https://www.linkedin.com/in/podzimkovab/) and [Bobby](https://www.linkedin.com/in/rwbayer/) from [TrueClaim](https://www.trytrueclaim.com/).\n\n**TLDR: Our software uses newly available healthcare data to save self-insured companies 7% in healthcare costs. **[**Schedule a demo**](https://calendly.com/barbora-k0k/trueclaim-founder-connect)** to see for yourself.**\n\n![uploaded image](/media/?type=post&id=79378&key=user_uploads/1125239/d7fb1137-606d-42e6-bd3a-e5e4336a3c90)\n\n**We saw a problem**\n\nThe American economy is on the verge of collapsing because of the ever-growing healthcare costs. Companies can no longer afford to pay 10% more to provide healthcare coverage to their employees every year. Something’s gotta give and we think that self-insured companies that provide healthcare benefits to 100 million Americans are in a great place to lead the change.\n\n**Our ‘Aha! moment’**\n\nWith AI advancements and the 2021 CAA laws that force insurance companies to give self-insured employers full access to their itemized healthcare invoices, we can build technology to help companies understand and manage their healthcare spending better than ever before. This allows benefits leaders to make the best decisions for their company and their employees.\n\n**TrueClaim was born**\n\nTrueClaim automates healthcare cost savings for self-insured companies using medical claims and price transparency data. TrueClaim continuously reviews 100% of healthcare invoices to detect billing errors, pharmacy and care savings opportunities. So far, we have identified an average of 10.96% savings opportunities in the $20.2M worth of medical claims we’ve reviewed since January. We also offer a cost recovery service with a 3x ROI guarantee.\n\n_Example #1: How can my company save on pharmacy expenditures?_\n\n![](https://lh7-us.googleusercontent.com/ZuELTk3UF9j1VmhZB-MnwM09PDdV8dAzvZupmTumlC90z7SjoJyQ970paZgTeZhZpvdB2GIlGQmPIoUjgBYbW5HsKE3e4g-VIedGEuPSy9IMcUqO3iyYtiv7y0kCr-2pUiNkO9kts22Pu3pGJ7sAZRI)\n\n_Example #2: How much would my company pay for healthcare with another health plan?_\n\n![](https://lh7-us.googleusercontent.com/sSMt3X37qNflLVvZ5vcbCTSa5hw8FwnKdk0HQHSks8jY688gsWddRT1Q7oXDStTU0kQbAEgw3hhEoaA23KQZKwz5Zg79NArTOWRMSG-13LozbvuDWSyGLpVITH-wRc6DzpF665II6pX3wuqEFmPERBQ)\n\n_Example #3: How are the various benefits offered to my employees being used and helping?_\n\n![](https://lh7-us.googleusercontent.com/Bzz1Vf496UWgUjeWKm0wd30CMPpiaiav3najTKVSrGglWy07BMuJQj_RajjIs-NWhCn9gj0dDXsSjr86zSl_3g9F-Legtg6VShyjUkOHktduqdPe_cpcbAZ9pro8nPRw43hV7dMZIJ3LAbnDSGlv_-8)\n\n**Our team**\n\nAs employee #30 at Hinge Health, Barbora built and ran a number of functions, including HR, Benefits, and Customer Billing. At Pine Park Health - a YC company in the value-based care space - she ran support, care coordination, and more. Barbora has her MBA from Stanford. \n\nBobby spent 7 years as a Senior Software Engineer building and scaling healthcare technology solutions at pMD. He established and grew pMD’s RCM software and services divisions and launched patient engagement software. Bobby has a Computer Science & Engineering degree from Santa Clara University.\n\n**So what?**\n\nWe’ve got big plans cooking! We are looking to speak with more Benefits Consultants who specialize in working with self-insured companies as well as Benefits / Total Rewards VPs / Directors / Managers. Please reach out or intro via [founders@trytrueclaim.com](mailto:founders@trytrueclaim.com) or schedule a demo directly [here](https://calendly.com/barbora-k0k/trueclaim-founder-connect).",
        "url": "https://www.ycombinator.com/launches/KeI-trueclaim-automating-healthcare-cost-savings-for-companies",
        "votes": 38,
        "created_at": "2024-03-13T23:10:57.999Z"
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    "name": "Healia",
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    "website": "https://www.healiahealth.com/",
    "all_locations": "Columbus, OH, USA",
    "long_description": "Healia is reinventing health insurance for dual income families. Our product enables companies to pay for the out of pocket costs of any employee that enrolls in their spouse's health insurance plan. This saves customers $10k per enrollee while providing an incredible employee perk: 100% coverage of a family's health costs.\r\n\r\nWe’re now up to 50+ customers coast-to-coast with over 40k employees using our product!",
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    "team_size": 15,
    "industry": "Fintech",
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    "country": "US",
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        "full_name": "Priyang Shah",
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        "url": "https://www.ycombinator.com/companies/healia/jobs/VPyIfJH-sales-development-representative",
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        "url": "https://www.ycombinator.com/companies/healia/jobs/4agRnJz-account-executive",
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        "url": "https://www.ycombinator.com/companies/healia/jobs/urCreag-account-manager",
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        "title": "Controller",
        "url": "https://www.ycombinator.com/companies/healia/jobs/0B7mD6k-controller",
        "location": "Columbus, OH, US",
        "type": "Full-time",
        "role": "Finance",
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      {
        "id": 78745,
        "title": "Healia - Modern health insurance for dual income families 👨‍👩‍👦‍👦 ❤️",
        "tagline": "We enable companies to cover the expenses of employees on their spouse's health plan, saving companies $10k per family",
        "body": "**Tl;dr**\n\nHealia is reinventing health insurance for dual income families. Our product enables companies to pay for the out of pocket costs of any employee that enrolls in their spouse's health insurance plan. This saves customers $10k per enrolled family while providing an incredible employee perk: 100% coverage of a family's health costs.\n\n**2025 Update**\n\nWe’re now up to 50+ customers coast-to-coast with over 40k employees using our product!\n\n**The problem: Dual-income health insurance is a lose-lose for companies and families**\n\nThere are 41 million dual-income families in the country and they all have the same problem: whether they choose their plan or their spouse’s, they still have thousands in premium contributions and out-of-pocket costs.\n\nCompanies face a similar challenge: either employees enroll in their insurance and incur exorbitant costs ($17k/year/family) or the employee misses out on the largest employee benefit available, hurting the company’s recruitment and retention efforts.\n\n**✨ The solution: Both companies “split” coverage**\n\nOur product lets employers pay for the out-of-pocket costs (and premiums) of any employee who enrolls in their spouse's plan. There is no need for complicated coordination between employers. Employees just opt out of our customer’s plans and join their spouse’s. We then reimburse any eligible expenses on the spouse’s plan. This saves our customers $10k per enrollee and boosts recruitment and retention with an awesome perk.\n\n**💻 Our technology is so powerful that we even sell it separately**\n\nWe created a tool for employees that lets them compare costs between their employer's plan and their spouse's. Employees can upload a PDF of their spouse’s benefits guide, and our LLM will process the data, allowing families to see all of their options modeled.\n\n**👋 Ask: Connect us with:**\n\n1. Health insurance brokers that need innovative solutions for clients.\n2. HR leaders and CFO’s that want to lower costs while improving employee retention\n3. Or, just give us feedback! [founders@healiahealth.com](mailto:founders@healiahealth.com)",
        "url": "https://www.ycombinator.com/launches/KU5-healia-modern-health-insurance-for-dual-income-families",
        "votes": 20,
        "created_at": "2024-02-26T15:58:17.227Z"
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    "website": "https://www.haplotypelabs.com/",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "We're building the HaploHub: a SaaS platform for genetic testing labs, concierge medical practices, and payer/providers to: \r\n * predict disease risk for their patients based on proprietary or publicly available genetic models\r\n * securely host, manage, and interrogate the genetic data of their population\r\n * generate reports and run the most common inference algorithms (phasing, imputation, ibd, etc.) without writing code \r\n\r\n",
    "one_liner": "Personalized prevention using genetics and AI",
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    "year_founded": 2024,
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        "location": "Berkeley, CA, US / Remote (US)",
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        "id": 79664,
        "title": "Haplotype Labs - Personalized prevention using genetics and AI",
        "tagline": "Our product, the HaploHub, makes the world's best genetic risk models available to precision prevention programs, clinical trials, and genetic testing labs using any laboratory, microarray or next generation sequencing technology.",
        "body": "Hi! I’m [Mike](https://linkedin.com/in/polcari), founder of [Haplotype Labs](https://www.haplotypelabs.com). At Haplotype Labs, we believe that more precise prevention and screening will lead to longer healthspan and lower healthcare costs. \n\n![uploaded image](/media/?type=post&id=79664&key=user_uploads/1647013/730b958e-b667-4136-968b-5543aa5b9090)\n\nWe're building the HaploHub: a software platform that helps genetic testing labs, clinical trials, and prevention-focused medical practices to deploy **AI models that use genetics to predict, detect, and prevent disease**.\n\nI joined 23andMe after Series A and helped take it public after over 15 years as VP / Chief Architect. The technology that my team and I developed at 23andMe has delivered more genetic risk reports to more patients than any other in the world, but the translation to patient outcomes remains unsolved. At Haplotype Labs, we are working to close that gap and accelerate the translation of polygenic risk scores into improved healthspan for patients. We’re building the tech I wish I’d had at 23andMe and making it broadly available to the clinic.\n\n**_Precision_ Preventative Care**\n\nPreventative care programs currently stratify patients into risk categories for various conditions based on imperfect but still useful risk factors like demographics and family history. Patient stratification allows a care provider to optimize the financial expense and negative side effects of any given prevention program. For example, people with a family history of colon cancer are typically screened more frequently.\n\nDriven by falling prices of sequencing and improved model power, preventative care is on the cusp of broadly adopting genetic risk models as a means to further personalize these prevention programs and extend healthspan. These models can also play a role in the discovery of new medicines, and can accelerate clinical trials.\n\nPublished methods are improving rapidly and new models are published consistently. However, it is difficult to correctly and reliably compare the performance of these models or deploy them at scale.\n\n**Advanced technology made simple**\n\nWe're building the HaploHub: an easy-to-use SaaS platform for genetic testing labs, concierge medical practices, clinical trials, consumer brands, and payers/providers to:\n\n* predict disease risk for their patients based on proprietary or 4000+ publicly available genetic models using any genome-wide germ-line or methylation assay\n* securely host, manage, and interrogate the genetic data of their population\n* run the most common inference algorithms (phasing, imputation, ibd, etc.) without writing code\n* transition to low-pass sequencing and save 50-90% on sequencing costs\n\n**Get in touch!**\n\nWe’re eager to get this technology out into the world! We would love to speak with concierge practitioners, clinical trial investigators, or anyone interested in using genetics to extend health span. If that sounds like you, please reach out!\n\n[yclaunch@haplotypelabs.com](mailto:yclaunch@haplotypelabs.com)",
        "url": "https://www.ycombinator.com/launches/Kiu-haplotype-labs-personalized-prevention-using-genetics-and-ai",
        "votes": 11,
        "created_at": "2024-03-25T15:28:50.228Z"
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        "full_name": "Emir Sahmanovic",
        "title": "Founder/CEO",
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        "full_name": "Haris Sahmanovic",
        "title": "Founder/CTO",
        "founder_bio": "Haris is the co-founder and CTO of Forge. Before Forge, he worked at Facebook and Vanguard as a backend engineer.",
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    "jobs": [
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        "id": 90059,
        "title": "Software Engineer",
        "url": "https://www.ycombinator.com/companies/forge/jobs/fCpu2RO-software-engineer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$100K - $225K",
        "equity_range": "0.10% - 1.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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        "id": 109451,
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        "url": "https://www.ycombinator.com/companies/forge/jobs/HYPf58T-operations-manager",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Operations",
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        "experience": "Any (new grads ok)",
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        "url": "https://www.ycombinator.com/companies/forge/jobs/63pdEdc-head-of-freight",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
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        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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        "id": 109675,
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        "url": "https://www.ycombinator.com/companies/forge/jobs/UN15zUc-sales-development-representative",
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        "url": "https://www.ycombinator.com/companies/forge/jobs/jz3xNXt-founding-gtm",
        "location": "New York, NY, US",
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      {
        "title": "Engineer brothers found Forge to modernize hardware procurement | TechCrunch",
        "url": "https://techcrunch.com/2024/06/04/ex-meta-blue-origin-brother-engineers-raise-2m-to-solve-hardware-procurement/",
        "date": "Jun 04, 2024"
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    "launches": [
      {
        "id": 89310,
        "title": "Forge - Getting companies refunds on tariffs & duties",
        "tagline": "Recover 99% of import taxes on goods you export or destroy",
        "body": "**tl;dr:** Forge helps companies recover tariffs and duties paid on imported goods that are later exported or scrapped by automating a process called duty drawback. Most companies don’t file for drawbacks because it can be complicated & cumbersome. We solve this by taking on all the work for our customers from organizing data to filing, and automating it behind the scenes. Reach out to us at: [www.forgehq.com](http://www.forgehq.com).\n\n![uploaded image](/media/?type=post&id=89310&key=user_uploads/89898/703a07d3-3dad-49eb-9cd3-1c80cd2719a9)\n\nHello everyone! We're Emir and Haris, two brothers and the co-founders of Forge! We’re here to help companies save money on their tariffs & duties.\n\nHaris (left) is the CTO of Forge. Before Forge, he worked at Facebook and Vanguard as a backend engineer. Emir (right) is the CEO of Forge. Previously he was a lead engineer with experience designing, building, and testing rocket engines at Blue Origin and Stoke Space. At Stoke, Emir was part of a small team that became the fastest to ever go from seed funding to engine hot fire.\n\n![uploaded image](/media/?type=post&id=89310&key=user_uploads/1181593/44c70c94-7705-4dd2-8c02-215f92c83d2e)\n\n🧩 **The problem:**\n\nLast year, the US collected over $85 billion in import duties, and that number will increase dramatically with the newly established tariffs. However, when a business imports goods, they are allowed to claim a refund on the taxes they paid if they later export or scrap goods - this process is called duty drawbacks.\n\n$6 billion dollars of recoverable duties go unclaimed every year, and that was before Trump’s new tariffs. Most companies don’t file for drawbacks because the process is extremely cumbersome & complicated. The biggest companies have compliance teams & specialized customs brokers supporting them on multi-million dollar claims, but if you’re a small or medium-sized business, you have no options. Supply chain teams don’t have the time to manage all the work needed to run a drawback program, and brokers avoid supporting claims under $500k.\n\n💡 **Our solution:**\n\nOur team provides duty drawback as a white glove service while leveraging AI and custom internal tools to automate the work. This allows us to serve more businesses, while also requiring little to no effort from our customers. We file all paperwork with customs, extract all necessary data, and do the work to maximize their refund. The best part: it’s free upfront— we only get paid when our customers get paid.\n\nSupply chain & logistics are hard. Tariffs & duties make it even harder. We are here to make it easy for businesses to claim the revenue they deserve.\n\n![uploaded image](/media/?type=post&id=89310&key=user_uploads/1181593/8a06bd8f-bb66-428f-a439-d9727f160284)\n\n\\\n🙏 **Ask: How you can help**\n\nConnect us to importers, exporters, manufacturers, DTC brands, and any business impacted by the tariffs in your network! Email [emir@forgehq.com](mailto:emir@forgehq.com)\n\n* Check us out and talk with us at [forgehq.com](http://forgehq.com)\n* Share this post!",
        "url": "https://www.ycombinator.com/launches/NEU-forge-getting-companies-refunds-on-tariffs-duties",
        "votes": 26,
        "created_at": "2025-04-07T21:36:45.016Z"
      },
      {
        "id": 77785,
        "title": "🛠️ Forge - Procure hardware and control spend on one platform",
        "tagline": "Collaborate with manufacturers, track orders from quote to delivery, manage purchase approvals, and more!",
        "body": "**tl;dr:** We’re bringing everything related to your team's hardware procurement under one platform. [Forge](https://www.forgehq.com/) makes it easy to get your parts made while also providing insight into your teammates' purchases, the status of their parts, and more. On top of this, we give companies the ability to set their procurement policies in a straightforward manner, making it simple for everyone to follow. **Request a demo at [www.forgehq.com](https://www.forgehq.com/)**.\n\nHello everyone! We're [Emir](https://linkedin.com/in/emir-sahmanovic-976b71b5) and [Haris](https://linkedin.com/in/haris-sahmanovic-438884126), two brothers and the co-founders of Forge! We’re on a mission to help hardware teams move faster.\n\n![uploaded image](/media/?type=post&id=77785&key=user_uploads/1181593/f67f210b-2410-49ec-a452-9fa5eaf20b34)\n\nHaris (left) is the CTO of Forge. Before Forge, he worked at Facebook and Vanguard as a backend engineer. Emir (right) is the CEO of Forge. Previously he was a lead engineer with experience designing, building, and testing rocket engines at Blue Origin and Stoke Space. At Stoke, Emir was part of a small team that became the fastest to ever go from seed funding to engine hot fire.\n\n\\\n🧩 **The problem:**\n\nGetting parts into engineers’ hands sets the pace for hardware companies. However, procurement teams use email, spreadsheets, and phone calls to manage billions of dollars of spend. This causes huge coordination issues as many engineers don’t know whose approval they might need, when parts are coming in, and who ordered what. We saw it over and over again at companies of all sizes: poor supply chain operations cause constant delays and bottleneck the pace of development. In 2023, engineers were estimated to spend over 6 hours per week on procurement activities.\n\n**💡 Our solution:**\n\n![uploaded image](/media/?type=post&id=77785&key=user_uploads/1181593/d75081e4-05ee-4d46-84c7-c0bf54dfac90)\n\nOur software allows you to request quotes from your suppliers, where you can attach drawings and CAD. We then organize the quotes into a format that’s perfect for comparing your options. Once a supplier has been selected, you can continue to work with them by messaging, sharing files, and getting feedback directly on Forge. All these actions are viewable by your teammates, ensuring everyone is on the same page without the need for time-consuming meetings or searching through documentation.\n\n![](https://lh7-us.googleusercontent.com/ugOWDLKfrQ1vBzd6yGZ5v0K2sYRXfPy9B2clqANCArFWQZp_Ef68QtXryh9Nsrh5BGND-36ErJc2DUDj3QsBQIAY7SmXwNIdlX3ymAi9ycLecJm2Ir-iyzlNxJ6URwENwLBJ50xgGNFlqiG66AsGddU)\n\nMany companies struggle with unclear procurement operations. Forge offers a highly customizable tool for companies to publicly set their procurement flows in an easily readable manner. No more wondering who’s approval you need or what you’re waiting on. Even better - no IT team is needed for set up and changes can be made at any time!\n\nCombine all this with integrations into your other business software and you have a tool that makes collaborating with coworkers and manufacturers easier than ever before.\n[ ](https://www.youtube.com/watch?v=hifUYQdYGJI)\n\n**🙏 Ask: How you can help**\n\n* Connect us to engineers, procurement managers, or supply chain teams in your network! Email [emir@forgehq.com](mailto:emir@forgehq.com)\n* Check us out and book a demo at [forgehq.com](http://forgehq.com)\n* Share this post!",
        "url": "https://www.ycombinator.com/launches/KEb-forge-procure-hardware-and-control-spend-on-one-platform",
        "votes": 47,
        "created_at": "2024-01-23T19:41:15.869Z"
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    "id": 29504,
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    "all_locations": "Paris, Île-de-France, France",
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    "country": "FR",
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        "full_name": "Stan Girard",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder @The Vibe Company ",
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        "linkedin_url": "https://www.linkedin.com/in/stan-girard/",
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        "full_name": "Antoine Dewez",
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        "founder_bio": "Co-founder @TheVibeCompany",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/antoine-dewez-367774157",
        "x_url": "https://x.com/AntoineZewed",
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        "id": 116023,
        "title": "Founding Builder",
        "url": "https://www.ycombinator.com/companies/the-vibe-company/jobs/hfUTH7j-founding-builder",
        "location": "Paris, Île-de-France, FR",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "AI engineer",
        "salary_range": "€50K - €70K EUR",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": [
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    "news": [
      {
        "title": "Quivr launch 5,000 Vector databases on Supabase.",
        "url": "https://supabase.com/customers/quivr",
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      {
        "id": 78445,
        "title": "🧠 Quivr: Open source, chat-powered second brain with 28k+ ⭐",
        "tagline": "We help enterprises build chat assistants connected to their data.",
        "body": "Hey guys! [Stan Girard](https://linkedin.com/in/stanislas-girard), [Brian Laleye](https://linkedin.com/in/brian-laleye-31433386), and [Antoine Dewez](https://linkedin.com/in/antoine-dewez-367774157) here — best friends for 20+ years, GenAI geeks, and co-founders building [Quivr](https://www.quivr.app/)!\n\n**TL;DR:** **Quivr** is an **open source RAG framework with 28k+ Github 🌟**, connected to company data. For example, companies use us to deploy an HR chatbot for their employees.\n\n<https://www.youtube.com/watch?v=jvNYWiXvkds>\n\n### **❌ Problem: Searching in company’s information takes 20% of employee’s time**\n\nEmployees tend to find themselves in at least one of these situations in a week:\n\n* Need urgent information from an unavailable colleague.\n* Are always asked for the same information\n* Don’t know where to search the information they need\n\n❗ **Worse, they don’t even know if the information exists in the company**\n\n### **And decisions proceed despite bad information**\n\n**💢 Impacts:**\n\n* Decisions can be made without having the relevant information\n* Simple tasks are executed asynchronously while waiting for the answer\n* Information doesn’t travel across teams\n\n### **✅ Solution: Quivr is an AI open-source platform where enterprises connect their tools, docs, APIs, and databases to chat with them.**\n\nEffortlessly retrieve any available information and let Quivr generate new usable content.\n\nFor example, Quivr enables them to:\n\n* Automatically write an email without making an effort to provide context.\n* Extract actionable information from a huge database.\n* Summarise an endless document to get its essence.\n\n### **🧠 How it works:**\n\nThe app can be deployed to the [**cloud**](https://quivr.app/) or [**self-hosted**](https://github.com/stangirard/quivr) on existing infrastructure to answer any data privacy concerns.\n\n* Create Brains that connect to:\n  * APIs\n  * Databases\n  * Documents\n  * Tools\n* Ask a question to:\n  * A specific Brain\n  * All your Brains and let Quivr find the best one\n* Chat with your answer\n\n### **🔨 The Founding Team**\n\nWe’re 3 French guys (with a good accent) who have been friends, coworkers, founders, and open-source enthusiasts! Before starting Quivr, **Brian** co-founded two companies with one exit & grew in less than a year a new division to 1M in revenue in his previous company. **Antoine** graduated from La Sorbonne with a focus on history and political science before transitioning into engineering. He was the first front-end developer at a company that saw a 15-fold increase in GMV over two years. **Stan** is a DevOps Expert & Engineering Manager turned Head of GenAI in a web dev agency with $100M of turnover while leading the GenAI Thought Leadership of the group.\n\n![](https://bookface.ycombinator.com/media/?type=post&id=78445&key=user_uploads/1620232/b8cedb2f-7b07-4e8c-9dd3-a49afaa0f451)\n\n### **🙏 Ask**\n\nWe’d love to be introduced to a friend or colleague who works in a company of 100+ people and has issues finding information.",
        "url": "https://www.ycombinator.com/launches/KPF-quivr-open-source-chat-powered-second-brain-with-28k",
        "votes": 57,
        "created_at": "2024-02-15T16:08:12.839Z"
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    "id": 29509,
    "name": "Blacksmith",
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    "long_description": "Blacksmith helps companies run their continuous integration (CI) up to twice as fast, at half the cost. We do this by running their CI on high performance gaming CPUs.\r\n\r\n- Engineering productivity is often marred by slow CI that grows quadratically with the size of the engineering organization.\r\n- On top of this, companies pay high markups to run CI on the hyperscalers.\r\n- Consequently, companies have to run their CI on spot instances to keep costs in check. Since spot instances can get pre-empted at any point, running CI reliably on them requires [significant engineering investment](https://www.rippling.com/blog/how-rippling-used-spot-instances-to-save-and-scale-ci-cd).\r\n\r\nBlacksmith offers CI compute that is more performant, cheaper, and reliable. With Blacksmith, companies do not have to think about CI as they scale.\r\n\r\nWe are starting with GitHub Actions - today's most popular and fastest-growing CI system. With a one-line change, companies can run their CI up to twice as fast on our high-performance hardware. In addition to this, Blacksmith provides colocated warm caches along with optimizations for common CI workloads (like building and pushing Docker images).\r\n\r\nAayush, JP and Aditya have gained deep systems and product knowledge from their time at Cockroach Labs and Faire respectively. Both these companies, with several hundred engineers, were spending in the order of millions of dollars on their CI. Yet they were riddled with slow CI and actively seeking out cheaper and faster alternatives. Blacksmith offers exactly this alternative, at a time where being lean is table-stakes for most companies.",
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    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1707846120,
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      "Infrastructure"
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    "stage": "Growth",
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    "year_founded": 2024,
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    "linkedin_url": "https://www.linkedin.com/company/blacksmithrun/",
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      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
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    "founders": [
      {
        "user_id": 760850,
        "full_name": "Aditya (JP) Jayaprakash",
        "title": "Founder",
        "founder_bio": "Co-founder and CEO of Blacksmith. Aditya was previously an engineer at Faire (YC W17) where he worked on search infra and ads. As a founding member of the ads team, he led retrieval and targeting and helped grow ads from 0 -> $X M. Aditya graduated from the University of Waterloo with a degree in Computer Science and a Master's degree from the University of Alberta, where he did research in Theoretical Computer Science. ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/adijp",
        "x_url": "https://twitter.com/adijayaprakash",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6c780761308291cfc67632aa56347d9f78159627.jpg"
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      {
        "user_id": 1755116,
        "full_name": "Aditya Maru",
        "title": "Founder",
        "founder_bio": "Aditya Maru is the co-founder & co-CTO of Blacksmith. Before starting Blacksmith, Aditya worked at Cockroach Labs. At Cockroach he was a senior engineer on a core database team responsible for implementing disaster recovery solutions. This was where he gained his deep systems knowledge. Aditya graduated from the University of Waterloo with a degree in Computer Science.\n",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/maruaditya",
        "x_url": "https://twitter.com/adityamaru27",
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        "user_id": 1445061,
        "full_name": "Aayush Shah",
        "title": "Founder",
        "founder_bio": "Aayush is the cofounder and CTO of Blacksmith. Prior to this, Aayush was a systems engineer on the replication team at CockroachDB. Aayush was awarded the Spartan Award at Cockroach Labs for being critical in bringing home the biggest deal in the company's history. \n \nAayush graduated from the University of Waterloo with a degree in Computer Science, which is where he met his co-founders.",
        "is_active": true,
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      {
        "title": "AI code-testing startup Blacksmith's valuation jumps almost 10x in less than a year | TechCrunch",
        "url": "https://techcrunch.com/2026/08/12/blacksmiths-valuation-jumps-10x-to-550m-as-ai-coding-fuels-software-validation/",
        "date": "Aug 12, 2026"
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      {
        "title": "Google Ventures doubles down on dev tool startup Blacksmith just 4 months after its seed round | TechCrunch",
        "url": "https://techcrunch.com/2025/09/17/google-ventures-doubles-down-on-dev-tool-startup-blacksmith-just-4-months-after-its-seed-round/",
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        "id": 79029,
        "title": "Blacksmith: Run your GitHub Actions 2x faster, at half the cost",
        "tagline": "Blacksmith runs GitHub Actions on high-performance gaming CPUs on a software stack optimized for CI. ",
        "body": "![uploaded image](/media/?type=post&id=79029&key=user_uploads/760850/813c2fd4-6f8b-4da0-a014-b91ac29f1a89)\n\n**tl;dr**\n\n[Blacksmith](https://blacksmith.sh/) helps companies run their GitHub Actions up to twice as fast, at half the cost. We do this by running their Github Actions on high-performance gaming CPUs on a software stack optimized for CI.\n\n**What problem are we solving?**\n\nMore engineers writing more tests over time leads to quadratic growth of a company’s CI run time. On top of this, platforms like GitHub Actions have staggering markups while providing compute backed by decade-old server hardware. These platforms are disincentivized from investing in software optimizations to make CI faster since they bill by the minute.\n\n**How is Blacksmith 2x faster?**\n\nBlacksmith runs GitHub Actions on high-performance gaming CPUs. These machines offer significantly better single-core performance, ideal for tasks like code compilation, testing, and single-threaded runtimes like Node.js.\n\nThe hardware is only part of the puzzle. Blacksmith runs a software stack optimized for CI.\n\n* We colocate warm caches with our GitHub Action runners resulting in [4x faster cache reads and writes](https://x.com/aayush_shah15/status/1759253159514374552?s=20)\n* Local NVMe-backed filesystem for highly performant disk reads and writes\n* Docker layers caching across all builds in a GitHub repository resulting in faster docker builds (coming soon)\n* Shared volumes to turn every CI run into an incremental build (coming soon)\n\nThe numbers speak for themselves\n\n![uploaded image](/media/?type=post&id=79029&key=user_uploads/760850/b996eba7-800c-42d5-9f1e-a9f42da2d7ef)\n\nHere’s Blacksmith being used in a [public repo](https://github.com/axelarnetwork/axelar-amplifier/pull/271) by one of our customers, [Axelar.](https://axelar.network/)\n\n![uploaded image](/media/?type=post&id=79029&key=user_uploads/760850/6500f095-9553-4393-aa2c-0995ad7f5155)\n\n\\\n**How would I switch from Github to Blacksmith?**\n\nAll you need to do is [install our GitHub app](https://app.blacksmith.sh/) and change one line of code in your workflow file.\n\n![uploaded image](/media/?type=post&id=79029&key=user_uploads/760850/a3def935-6370-472c-b6fe-da85c2839a26)\n\n**Our vision**\n\nWe want to be the compute layer for CI (think AWS EC2 for CI). Although we are starting with GitHub Actions, in the future, we plan on expanding to other CI platforms such as BuildKite, GitLab, Jenkins, etc.\n\nWe are going after the $10B CI compute market currently captured by the hyperscalers (AWS, GCP, Azure).\n\n**Our team**\n\nWe are a team of three engineers who met at the University of Waterloo eight years ago. [Aayush Shah](https://linkedin.com/in/aayushshah15) and [Aditya Maru](https://linkedin.com/in/maruaditya) were early engineers on CockroachDB, working on replication and disaster recovery, respectively. Aayush was then an early engineer at Superblocks, working on enterprise readiness. [Aditya Jayaprakash](https://linkedin.com/in/adijp) (JP) did research in theoretical computer science and later joined Faire (YC W17), where he worked on search infra and was a founding member of the ads team.\n\n![uploaded image](/media/?type=post&id=79029&key=user_uploads/760850/72125173-2a56-41a6-a286-194624a51db7)\n\nIf you’re using GitHub Actions, **we can help your team move a lot faster while reducing spend**. [**Try us out**](https://blacksmith.sh/) - we are a one-line change to integrate, no credit card required.\n\nWe love talking to companies about their CI infra. You can reach us at [hello@blacksmith.sh.](mailto:hello@blacksmith.sh)",
        "url": "https://www.ycombinator.com/launches/KYf-blacksmith-run-your-github-actions-2x-faster-at-half-the-cost",
        "votes": 24,
        "created_at": "2024-03-05T18:47:44.000Z"
      }
    ]
  },
  {
    "id": 29510,
    "name": "Yarn",
    "slug": "yarn-2",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ecaa1199b6d124b85c33c51f6a249e1fff1b0f96.png",
    "website": "https://www.yarn.so",
    "all_locations": "New York City, NY, USA",
    "long_description": "Yarn is a new kind of video product that lets anyone on your team ship videos: feature launches, custom demos, walkthroughs and explainers, ABM.\r\n\r\nYarn is the first agentic video system that doesn't compromise on quality or ease of use.",
    "one_liner": "Yarn is the video product for agentic GTM teams.",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1708454742,
    "tags": [
      "B2B",
      "Sales",
      "Video",
      "Marketing",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
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    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/yarn-2",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/yarn-2.json",
    "year_founded": 2023,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/yarn-so",
    "x_url": "https://twitter.com/yarn_so",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ecaa1199b6d124b85c33c51f6a249e1fff1b0f96.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Pete Koomen",
      "url": "https://www.ycombinator.com/people/pete-koomen"
    },
    "founders": [
      {
        "user_id": 1048212,
        "full_name": "Jasper Story",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder and CEO at Yarn – create pro-level product and sales videos with AI. Before founding Yarn, worked at a bunch of different early-stage startups as a developer, designer, and PM. Also a high-school Math teacher and contractor at Google.",
        "is_active": true,
        "linkedin_url": "",
        "x_url": "https://twitter.com/diegostory",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9e37afc7f7a481320aeddcecff30a48b6282e58b.jpg"
      },
      {
        "user_id": 1159207,
        "full_name": "Nicole Atack",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder and CTO at Yarn – create pro-level product and sales videos with AI.  ",
        "is_active": true,
        "linkedin_url": "",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b0b74a7ef323785b2faebe828d914bdcfa7c29cc.jpg"
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    ],
    "jobs": [
      {
        "id": 88318,
        "title": "Founding Product Designer",
        "url": "https://www.ycombinator.com/companies/yarn-2/jobs/knZEX3U-founding-product-designer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Design",
        "role_type": "UI / UX",
        "salary_range": "$150K - $220K",
        "equity_range": "0.75% - 1.25%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 92447,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/yarn-2/jobs/hPsZzYe-founding-engineer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$170K - $225K",
        "equity_range": "0.75% - 1.25%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 109582,
        "title": "Founding GTM Hire",
        "url": "https://www.ycombinator.com/companies/yarn-2/jobs/1IwKJEI-founding-gtm-hire",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$160K - $200K",
        "equity_range": "0.50% - 1.00%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 78573,
        "title": "✨ Yarn – Make pro-quality product and sales videos with AI",
        "tagline": "Creating a Yarn takes minutes, no video experience required.",
        "body": "**tl;dr:**\n\n* [Yarn](https://www.yarn.so/) lets anyone - founders, salespeople, or marketers – create pro videos in minutes.\n* Teams are using Yarn for sales collateral, launch videos, use-case demos, training guides, and feature updates for Twitter and LinkedIn.\n* [Book a 15 minute demo](https://calendly.com/jasper-yarn/yarn-demo)\n\nWe're Jasper and Nicole. Jasper used to make ads for Google and Nicole is a former quant/particle physicist. Now, we're on a mission to let anyone create great video shorts for work.\n\n![uploaded image](/media/?type=post&id=78573&key=user_uploads/1156578/aaa64aca-cfe0-4625-a108-e078c37ad82d)\n\n---\n\n---\n\n—\n\n## **Great videos are too hard to make**\n\nVideo is the most compelling medium for sales and marketing: on LinkedIn, [videos are shared 20x more](https://www.linkedin.com/business/marketing/blog/social-media-marketing/how-to-grow-your-organic-following-on-linkedin) than any other post type. But making videos is still way too hard:\n\n* **Legacy video editing workflows take 1-4 hours to make even short videos** – you'll chain together multiple tools, and your videos will be hard to update, reuse, or personalize.\n* **Self-recording a compelling 60-second video is almost impossible** – and your prospects won't watch your 4-minute Loom. Some tools add fancy effects, but these can distract from your product, your story, and your brand.\n* **Agency videos are super-expensive and go out of date immediately** – save the $10k+ and weeks of email back and forth for your splashy Series A announcement.\n\n—\n\n## **How does Yarn work?**\n\n* **Yarn uses AI** to help you make videos like Notion or Linear.\n* **No video experience required** – you make and edit your video like a doc.\n* **Voiceovers are all AI magic** – choose from a library voice or match your own – so it's easy to tweak, reuse, and personalize.\n* **Everything looks great out of the box** and is branded specifically for your startup. \n* **Add founder video intros** for when the personal touch matters.\n\n[Yarn Demo (made in Yarn)](https://www.youtube.com/watch?v=r2EnVL2P0_M)\n\n—\n\n## **How are teams using Yarn?**\n\n* DriverAI (W24) is building per-role sales demos as they sell into Fortune 500.\n* Replo (S23) is making new marketing content faster than ever.\n* Forge (W24) is creating sales collateral to transform procurement for rocket companies.\n* [Example: Introducing Abel (00:58)](https://www.yarn.so/v/Introducing-Abel-sNlnxSF4aG1IlgOhwm0ggZqI)\n* [Example: Driver AI (1:01)](https://www.yarn.so/v/Driver-AI-Demo-0kuSVcD2t1FaWHS0PvYTz7zl)\n\n—\n\n## **How do I get access?**\n\n[Book a 15 minute demo](https://calendly.com/jasper-yarn/yarn-demo) or email [jasper@yarn.so](mailto:jasper@yarn.so) to try Yarn with your team.",
        "url": "https://www.ycombinator.com/launches/KRJ-yarn-make-pro-quality-product-and-sales-videos-with-ai",
        "votes": 65,
        "created_at": "2024-02-20T20:17:10.425Z"
      }
    ]
  },
  {
    "id": 29512,
    "name": "Reprompt",
    "slug": "reprompt",
    "former_names": [
      "SyncUp.ai",
      "Reprompt (previously SyncUp.ai)"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/83c6310c2d3b5627d5902a01cf1ed1fe7a00b53c.png",
    "website": "https://repromptai.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Reprompt builds AI Agents for Location-- Mapping companies like Radar and TomTom use our agents to get live information about a point of interest or business that keeps their maps up to date. \r\n\r\nTo do this we have an internal agents platform that supports Web, Vision, Doc Reading, and soon self-driving browser agents.",
    "one_liner": "AI Agents for Location",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1705532788,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/reprompt",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/reprompt.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/99389319/",
    "x_url": "",
    "fb_url": null,
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    "app_video_url": null,
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    "company_photos": [],
    "primary_partner": {
      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
    },
    "founders": [
      {
        "user_id": 1757957,
        "full_name": "Lukas Martinelli",
        "title": "Founder",
        "founder_bio": "Lukas spent 7 years running engineering+product+operations as General Manager for the Search business at Mapbox who provides APIs to 2 million developers. At Reprompt we're mapping the physical world with AI, used by companies like Foursquare, TomTom to get the most up to date information about businesses.\n\nLukas' has a history of widely adopted dev tools. Before Mapbox he created several popular open-source dev tools (15k stars) in the mapping industry now used by Amazon, IBM, Bosch. ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/lukas-martinelli",
        "x_url": "https://twitter.com/lukmartinelli",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e914296b1b06166f76b3fb59d10f67cf0aac9c64.jpg"
      },
      {
        "user_id": 64967,
        "full_name": "Rob Balian",
        "title": "Founder",
        "founder_bio": "Building Reprompt | Previously led Growth @ Robinhood, Product at Facebook, Stanford CS\n\nRob is a builder and hacker. He built the first multiplayer online iPhone app, and combined his apps got 15M downloads and 1M MAU. He's trained and deployed vision models that beat SoTA. He led Robinhood's 50-person Growth team through their chaotic Covid, Gamestop, and IPO rollercoasters.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/robbalian",
        "x_url": "https://twitter.com/robbalian",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1a6ccc36b17cba59150311c13bcb11853cfe4fe0.jpg"
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    ],
    "jobs": [
      {
        "id": 69528,
        "title": "Software Engineer",
        "url": "https://www.ycombinator.com/companies/reprompt/jobs/YfQBWDH-software-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $180K",
        "equity_range": "0.50% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "JavaScript",
          "Python",
          "TypeScript"
        ]
      },
      {
        "id": 79314,
        "title": "Founding SDR",
        "url": "https://www.ycombinator.com/companies/reprompt/jobs/M7gNCyU-founding-sdr",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$75K - $95K",
        "equity_range": "0.25%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 81063,
        "title": "Senior Software Engineer",
        "url": "https://www.ycombinator.com/companies/reprompt/jobs/obM1jvC-senior-software-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $220K",
        "equity_range": "0.50% - 2.00%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 79428,
        "title": "Reprompt AI: Helping AI apps get to production quality 10x faster",
        "tagline": "AI teams use Reprompt to evaluate and improve their apps without code",
        "body": "**tldr:** Productionizing AI apps is hard. [**Reprompt**](https://repromptai.com/) lets teams evaluate and improve their apps without code and get to production quality 10x faster.\n\n### **90% of Generative AI pilots never make it to production**\n\nGenerative AI applications are notoriously hard to scale to production quality:\n\n* Hallucinations are hard to detect and fix\n* Function calling is a huge opportunity but still hit-or-miss\n* RAGs aren’t as scalable as we hoped, and often they find the wrong documents\n* AI responses can become a legal and compliance liability\n\n![uploaded image](/media/?type=post&id=79428&key=user_uploads/89898/2b3dd321-4e55-48ad-8771-3f2c0526107c)\n\n### **Getting to production takes more than great prompt engineering**\n\nBehind the scenes of every great product (Uber, Doordash, Waymo, Robinhood) there's an ops team with a dashboard full of if statements and data overrides that keeps the whole company from collapsing.\n\nFrom what we’re seeing, AI apps will require similar tuning, using strategies like Human-In-The-Loop, custom overrides, multi-queries, and prompt splitting/routing.\n\n### **Reprompt helps AI teams fix “last mile” AI issues so they can ship faster**\n\nHere’s what you can do with Reprompt:\n\n1. Trace your AI calls across chat, RAG, and function calls to make debugging easy\n2. Automatically track and highlight hallucinations and file them as bugs\n3. Write custom prompt overrides to handle the edge cases **without changing your main prompt or pushing code**\n\n![uploaded image](/media/?type=post&id=79428&key=user_uploads/64967/5434ca4f-a3ef-4085-966d-b7a4fbf43f87)\n\n### **About the team**\n\n[Lukas Martinelli](https://linkedin.com/in/lukas-martinelli) was an Engineering Director and GM of Search at Mapbox. He also led Mapbox's 120-person labeling and evaluation team.\n\n[Rob Balian](https://linkedin.com/in/robbalian) led Robinhood's Growth team through Covid, Gamestop, and IPO. He was an early PM at Facebook.\n\n![uploaded image](/media/?type=post&id=79428&key=user_uploads/64967/808fb8ba-68a8-476e-ab28-c744d4acf70d)\n\n_Rob Balian and Lukas Martinelli_\n\nIf your team has challenges getting to production-level quality, we’d love to [show you a demo](https://cal.com/robbalian/reprompt-demo-with-rob). See you all in production!\n\n\\-Rob and Lukas",
        "url": "https://www.ycombinator.com/launches/Kf6-reprompt-ai-helping-ai-apps-get-to-production-quality-10x-faster",
        "votes": 29,
        "created_at": "2024-03-15T22:13:06.395Z"
      }
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  },
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    "id": 29513,
    "name": "GetCrux",
    "slug": "getcrux",
    "former_names": [
      "Crux",
      "getcrux"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e441803edd599221aeb0cd1571b07115de1320cb.png",
    "website": "http://getcrux.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "GetCrux is the AI Creative Strategist to launch winning ads.\r\n\r\nCreatives have become the biggest lever to win on ad platforms. Yet, there is no clear way to figure out why something works. Marketers end up guessing and replicating the best performing ad, only to see it fail - with high CAC & wasted dollars.\r\n\r\nGetCrux helps performance marketers find winning patterns in their ad creatives across 100+ parameters like hooks, messaging, storyline, music, pacing, and recommend exactly what to launch next.",
    "one_liner": "AI Creative Strategist",
    "team_size": 9,
    "industry": "B2B",
    "subindustry": "B2B -> Analytics",
    "launched_at": 1706206728,
    "tags": [
      "SaaS",
      "Analytics",
      "Marketing",
      "Automation",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
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      "Analytics"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
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    "stage": "Early",
    "app_video_public": true,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/getcrux",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/getcrux.json",
    "year_founded": 2022,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/getcruxai/",
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        "full_name": "Himank Jain",
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        "full_name": "Prabhat Singh",
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        "location": "US / Remote (US)",
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        "id": 92586,
        "title": "GetCrux: AI Creative Strategist to Launch Winning ads",
        "tagline": "The 10X way to run ads: find what works and make on-brand creatives in minutes",
        "body": "Creatives are the #1 lever to optimize and scale performance while running ads on Meta, Google, TikTok or any paid media channel.\n\nYet, most growth and creative teams don’t have a data-driven process to iterate on creatives.\n\nThere’s no clear answer for:\n\n* Why do some ads work and others don’t?\n* What are the top objections and concerns users have?\n* What angles and concepts are working for my competitors?\n* How do I learn from these insights and make ads faster?\n\nSo we built the **AI Creative Strategist** that helps you iterate faster and launch winning ads.\n\nhttps://www.youtube.com/watch?v=bLOutqGo4wU\n\nThis is how teams run their creative process with GetCrux:\n\n1. **Surface Insights:** AI watches every ad, finds patterns across creatives, tells you what works and why\n2. **Learn from the Market:** Learns from competitor ads, comments, reviews, and comes up with new angles\n3. **Execute at Lightning Speed:** Converts insights into on-brand and compliant creatives and auto-publish to ad platforms\n\nWe connect with all your data sources:\n\n1. **Ad Platforms** (Meta, Google, TikTok, YouTube, Pinterest, Snapchat, Display, App Campaigns, Applovin, TradeDesk, Inmobi, Criteo, Atari)\n2. **1st Party Data Sources** (Snowflake, Tableau, Metabase, Looker)\n3. **Attribution, MMPs or 3rd Party Tools** (AppsFlyer, Adjust, etc.)\n\n\\\nGrowth and creative teams from large publicly listed enterprises to some of the fastest growing startups, including YC companies iterate 10X faster, and have even scaled 2X at a 10% lower CAC with our ads.\n\nWe’re one of the best teams working on this problem:\n\n* Backed by senior execs from Google and Meta\n* Our 1st product was acquired by one of the largest ad agency\n* Building AI tools for marketers for over 3 years now\n* Best AI engineers from IITs (top 0.01%) with avg age of 23!\n\nIf you’re a growth, paid social, or creative team that wants to iterate faster, we would love to chat. [Talk to the founders](https://calendly.com/atharva-getcrux/30min).",
        "url": "https://www.ycombinator.com/launches/O5K-getcrux-ai-creative-strategist-to-launch-winning-ads",
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        "created_at": "2025-07-30T22:43:03.859Z"
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        "id": 86823,
        "title": "GetCrux: AI Creative Strategist to Launch Winning Ads",
        "tagline": "Stop guessing which ad creatives work and find winning patterns that reduce CAC",
        "body": "# **TL:DR;**\n\nCreatives have become the biggest lever on ad platforms. Yet, there is no clear way to figure out WHY something works. You end up guessing and replicating the best performing ad, only to see it fail - high CAC & wasted budget. \n\nOur AI Creative Strategist:\n\n1. **Finds patterns that you miss**: by analysing 1000s of creatives (down to the last pixel) and their performance data\n2. **Builds a winning playbook**: which hooks, messaging, format, music, CTAs, storylines, influencers etc. really work for you\n3. **Recommends what to launch next:** with a detailed creative brief that you can execute instantly\n\n[Talk to us](https://calendly.com/atharva-getcrux/30min) if you want to bring structure & intelligence to creative testing.\n\n<https://www.youtube.com/watch?v=2h5HhhrUUAM>\n\n# **Some ads work. Most don’t. Why?**\n\nPicture this. \n\nYou finally find a winning creative and you replicate it - make 5 variations. But almost all of them fail - high CAC and wasted $ on production.\n\nWhy? _Because you didn’t really know WHAT made the ad work!_\n\nCreatives have 100s of moving parts and it’s impossible to find patterns manually. So most marketers make an educated guess, which often leads to unpredictability & low hit rate.\n\n**Guess what works —> Low hit rate —> Poor CAC + wasted $ on prod**\n\n# **Launch winning ads with our AI Creative Strategist**\n\nThe best marketing teams approach creative testing like an assembly line. We make this process simpler:\n\n1. **Find patterns that you miss**: \n\n   We go into the depths of every creative - be it an image or a video and break it down into 100s of elements. This is combined with the performance data from your ad account to find what works\n2. **Build a winning playbook**: \n\n   Every brand needs a playbook, a checklist that becomes the guiding principle of creative testing. We help you create this in terms of which hooks, messaging, format, music, CTAs, storylines, influencers etc. really work for you\n3. **Get recommendations on what to launch next:** \n\n   Based on the patterns found + your brand’s playbook, we come up with a detailed creative brief every week that helps the creative team ship out ads faster than ever\n\nHere are a few examples of questions & hypotheses we answer:\n\n![uploaded image](/media/?type=post&id=86823&key=user_uploads/852875/b96d8dc6-556b-465a-8f09-bd4b049b78de)\n\n# **Who does this work for?**\n\n* Combined ad spend across platforms > $500,000 per year\n* Mid-high creative testing volume i.e. more than 20-25 per month\n* Good enough historical data i.e. more than 6 months running ads\n\n# **How to work with us?**\n\n[Have an intro chat](https://calendly.com/atharva-getcrux/30min) and figure out if you think it could be a good fit for you.\n\nWe are trusted by several Y Combinator startups, large ad agencies in the US with $3B+ spend and brands from a variety of sectors including health and wellness, financial services, jewellery, among others.",
        "url": "https://www.ycombinator.com/launches/MaN-getcrux-ai-creative-strategist-to-launch-winning-ads",
        "votes": 128,
        "created_at": "2025-01-14T16:46:04.071Z"
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        "title": "getcrux: AI Copilot for Performance Marketing",
        "tagline": "Optimize Google & Meta Ads with insights & recommendations from our AI Ads Specialist.",
        "body": "# **TL;DR**\n\ngetcrux helps performance marketers running ads on Google & Meta to optimize for better performance with instant answers & actionable insights. Marketers are overburdened with manual, repetitive tasks like debugging technical issues and tracking campaigns, which leaves no time for planning and executing experiments. With getcrux, they can take the right action at the right time and exceed their performance targets. Watch our demo [here](https://www.youtube.com/watch?v=shohyPZB3sk).\n\n# Why is this a problem?\n\n1. Google & Meta’s combined ad revenues have crossed $350B in 2023, and over 90% of this ad spend is wasted (i.e., shown to audiences that are irrelevant/non-intent )\n2. Performance marketers are struggling to meet performance targets consistently because of changes in platform algorithms, rising competition, and, most importantly, inefficient operations\n3. On average, a performance marketer spends 70-80% of their time doing operational, repetitive tasks like debugging technical issues, creating 10s of reports, and following up with design and compliance teams. They are hardly left with any time to think of the next strategy and execute experiments\n\n# Our Solution\n\nAn AI Ads Specialist that helps performance marketers find the right answers, uncover hidden opportunities, and take the right action at the right time.\n\nHere’s how getcrux can help:\n\n* Get answers to all your questions instantly\n\n![uploaded image](/media/?type=post&id=84654&key=user_uploads/852875/8ccaeb39-21b8-43e3-a59f-59dca6689054)\n\n* Proactive insights that tell you what’s wrong before it’s too late\n\n![uploaded image](/media/?type=post&id=84654&key=user_uploads/852875/2cd7ee25-06e5-47e8-b689-6016093b7a6a)\n\n* Surfacing hidden opportunities & recommending actions\n\n![uploaded image](/media/?type=post&id=84654&key=user_uploads/852875/ae875ea3-8396-4d06-b789-ffea36cecb1a)\n\n# How effective is this?\n\nWe have been working with performance marketing teams of brands & ad agencies that manage more than $3B+ of ad spend.\n\n[Here’s](https://www.getcrux.ai/blog/getcrux-helped-in-saving-18k-month) how we recently helped an ad agency achieve a 2% uplift in performance and saved $18,000 last month for one of their accounts.\n\n# How did we land here?\n\n* The 3 of us started getcrux right after college nearly 2.5 years ago and have known each other for more than 7 years now. We’ve been through more than 15 pivots before shaping getcrux to its current form.\n\n![uploaded image](/media/?type=post&id=84654&key=user_uploads/852875/93a8e554-4195-40d9-b318-354f462e39a1)\n\n_Our team at our newly inaugurated office in Bangalore, India._\n\n* Our history with performance marketing dates back to 2022, when we were building ‘Google Ads for Web3’ to help games built on decentralized networks acquire users. Since traditional channels don’t work for web3 projects, there was a need for a predictable and trackable way of marketing.\n* ⁠When we got into YC in W24, we were trying to build a general-purpose AI Copilot for analytics but soon realized that most of our customer demand was coming from performance marketers. So, we decided to focus our attention ONLY on performance marketers.\n* Our vision is to make data analysis faster, accessible, and explainable for every non-technical user. Imagine Glean AI but for structured data.\n\n# Our Ask\n\nWe’re looking to get our product into the hands of as many performance marketers as possible. If you know someone who fits this criteria, please help us get in touch with them. Drop a DM or email at [atharva@getcrux.ai](mailto:atharva@getcrux.ai).\n\nCriteria: Anyone who runs ads on Google & Meta\n\n* Performance marketers running ads for their brand\n* Founder/CMOs running ads on their own\n* Ad agency founders and freelancers running ads for clients",
        "url": "https://www.ycombinator.com/launches/M1O-getcrux-ai-copilot-for-performance-marketing",
        "votes": 210,
        "created_at": "2024-10-10T13:51:00.229Z"
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    "long_description": "Every time workers in a warehouse box an order, they reference a 100 page manual with instructions like where to put the shipping label. RetailReady replaces the instruction manual with a tablet application.",
    "one_liner": "An AI-powered supply chain compliance engine",
    "team_size": 12,
    "industry": "B2B",
    "subindustry": "B2B -> Supply Chain and Logistics",
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        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
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    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
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      {
        "user_id": 1327498,
        "full_name": "Elle Smyth",
        "title": "Founder",
        "founder_bio": "Elle is the Co-Founder of RetailReady, which she started with Sarah Hamer. An engineering graduate from Duke University, she worked at BlackRock and Stord prior to becoming an entrepreneur. She is driven by immense curiosity and a love for solving complex problems in the supply chain industry. ",
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        "title": "Full Stack Software Engineer ",
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        "url": "https://techcrunch.com/2024/06/12/yc-retailready-warehouse-shipping/",
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        "id": 78869,
        "title": "📦 RetailReady - Automating supply chain compliance",
        "tagline": "Digitizing warehouse processes from 100+ page manuals to a mobile app.",
        "body": "We’re [Sarah](https://linkedin.com/in/sarah-hamer-881bb6126) and [Elle](https://linkedin.com/in/ellesmyth) and we’re excited to launch [RetailReady](https://www.retailreadyai.com/)!\n\n![uploaded image](/media/?type=post&id=78869&key=user_uploads/1327498/58c8581b-0fa1-40eb-8b25-f3a638e32261)\n\n# \n\n# **⏪ Backstory**\n\nBefore we joined YC, we worked at a supply chain unicorn startup called Stord where our jobs involved making their warehouse shipping facility run efficiently. While we were there, we realized that operations still largely relied on paper to pack an order correctly. Let me explain what actually happens in the warehouse when you order something from Walmart…\n\n# **🎯 TL;DR**\n\nEvery time workers in a warehouse box an order, they are supposed to reference 100+ page manuals that include precise packing instructions like where to put the shipping label. It’s not practical for warehouse workers to check the manuals on every order, and thus mistakes happen. These mistakes result in hefty fines, amounting to $40B annually! RetailReady’s mobile application replaces the paper manuals, making it easy to stay compliant and mitigate these fines, without any training time or integrations required.\n\n# 🔍 **Problem**\n\nRetailers (e.g. Walmart, Amazon, Target) outline unique shipping requirements for brands (think Dove, Hanes, Stanley) through 100+ page manuals called routing guides. If retailers receive a non-compliant shipment such as incorrect label placement, they issue brands a compliance violation fee, called chargebacks.\n\n![uploaded image](/media/?type=post&id=78869&key=user_uploads/1327498/3c7c8568-5137-44f9-bd62-b58db6a1e27e)\n\n_An example from page 227/399 of Walmart’s guidelines…_\n\n![uploaded image](/media/?type=post&id=78869&key=user_uploads/1327498/24f203b7-3b94-4fb4-a5f7-36aa04afaa1e)\n\n_…And how these shipping guidelines manifest on the warehouse floor today_\n\nOn average, 3% of a brand’s gross invoice amount is deducted due to chargebacks, resulting in an estimated **$40B worth of retailer chargebacks per year.**\n\n![uploaded image](/media/?type=post&id=78869&key=user_uploads/1327498/0a42156f-e506-4efd-83a2-1ba958617c96)\n\n_A subsection of violation fees outlined in a retailer routing guide_\n\nOn the flip side, when retailers receive these orders from brands, their warehouse team also uses their own printed routing guides to determine whether or not a shipment is compliant, and then manually enter associated fines into a spreadsheet. 10-12% of all orders retailers receive are deemed non-compliant and **require 2X the labor time**.\n\n# **🦾 Solution**\n\nRetailReady is the ultimate retail compliance solution for all stakeholders, requiring no training time or integrations.\n\n**Third-Party Logistics (3PLs):** Our user-friendly mobile application ensures operational shipping compliance to retailers. Our software ingests retailer routing guides and translates them into step-by-step workflow tasks while providing a visual repository of every order for dispute resolution. \n\n![uploaded image](/media/?type=post&id=78869&key=user_uploads/1327498/7a4fe104-9286-477a-acc9-5876923aad93)\n\n**Brands:** Our dashboard offers insights into your or your 3PL's operations, allowing you to upload chargebacks. This data enhances our model, tailoring your packing process with extra validation checks.\n\n![uploaded image](/media/?type=post&id=78869&key=user_uploads/1327498/d292d505-6763-4b3b-8d1d-778251eaa478)\n\n**Retailers:** Our retailer mobile app automatically detects and records shipping compliance errors from vendors, speeding up revenue generation and increasing labor efficiency. \n\n# **👋Our Ask**\n\n* If you know any brands / 3PLs that are struggling with retailer compliance or retailers that are struggling with vendor compliance, we’d love warm intros! Email us at [founders@retailreadyai.com](mailto:founders@retailreadyai.com) \n* If you are a brand / 3PL / retailer that is interested in our solution, [schedule](https://cal.com/retail-ready) a demo with us!\n* Are you or do you know a rockstar software engineer? Fill out [this](https://forms.gle/fWxHBTn9ovmQen328) form! We’ll be looking to hire a founding engineer in the coming months.\n* Follow us on [LinkedIn](https://www.linkedin.com/company/retailreadyai/) for weekly blog posts!",
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        "date": "Jun 24, 2026"
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        "url": "https://techcrunch.com/2025/01/23/coval-evaluates-ai-voice-and-chat-agents-like-self-driving-cars/",
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        "id": 83700,
        "title": "Coval - Simulation & Evaluation for AI Agents",
        "tagline": "Ship AI agents faster with a simulation and evaluation platform for chat and voice assistants.",
        "body": "Teams are racing to market with AI agents, but slow manual testing processes are holding them back. Engineers currently spend hours manually evaluating and playing whack-a-mole just to discover that fixing one issue introduces another.\n\nAt Coval, we build automated simulation and evaluation for AI agents inspired by the autonomous vehicle industry to boost test coverage, speed up development, and validate consistent performance.\n\nWe have a waitlist, but YC companies go first! Grab some time here: <https://bit.ly/coval-demo>\n\n![uploaded image](/media/?type=post&id=83700&key=user_uploads/1019731/e39b0b4e-22ea-4e62-85a4-d5421cafb7d5)\n\n# **Our Story**\n\nHey! I’m [Brooke](https://www.linkedin.com/in/bnhop/), the founder of [Coval](https://www.coval.dev/). 👋\n\nBefore starting Coval, I led the evaluation job infrastructure team at [Waymo](https://waymo.com/). I coded the first versions of our dataset storage and other foundational simulation systems, and my team built all of the dev tools for launching and running evals.\n\nThrough my conversations with hundreds of engineering teams at startups and enterprises, I've seen that AI agents—models that operate independently and handle complex tasks—are facing similar challenges to those in self-driving. \n\nIn the early days, autonomous vehicle companies relied heavily on manual evaluation, testing the self-driving cars on racetracks and city streets (remember when autonomous cars still had safety drivers?). However, as startups scaled, a significant shift happened: we moved towards simulating every code change in a “virtual” environment, using the vast amounts of data we collected. The new approach dramatically improved vehicle behavior, leading to hundreds of autonomous cars zipping around the San Francisco streets today!\n\nThis story mirrors what's happening today with AI agents across various industries. Teams are coming up with promising prototypes but often hit a wall when it comes to their reliability. \n\nAs we build for the future, where AI agents execute much of our work, ranging from sending emails to prescribing medication, the risks posed by untested systems could severely throttle the progress.\n\nAt Waymo, I developed tools that tested each code modification made by engineers, ensuring that every change improved the Waymo Driver's performance. I believe this methodical approach was key in helping our team address edge cases and maintain peak performance, and it ultimately cemented Waymo's status as a leader in the autonomous vehicle space.\n\nNow, at Coval, we’re taking these proven strategies and adapting them in a completely new way to speed up the development of AI agents. Our goal is to help engineers build agent experiences that genuinely work for users in the real world.\n\nAutomated simulation and evaluation are critical to trusting agents with impactful tasks across industries.\n\n# **Working With Us**\n\nBuilding agents or know someone? Let’s talk! [Grab time with me here](https://bit.ly/coval-demo) for a quick intro, or message me at [brooke@coval.dev](mailto:brooke@coval.dev).",
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        "full_name": "Max Friefeld",
        "title": "Founder",
        "founder_bio": "Max is the co-founder and COO of Ultra. \n\nHe studied Computer and Electrical Engineering at Harvey Mudd College ('13), and founded two YC-backed companies, Layer By Layer (S13) and Voodoo Manufacturing (W17).\n\nImmediately prior to starting Ultra, Max led teams at Boston Consulting Group optimizing  operations for the largest logistics networks in the world and developing go-to-market strategy for private equity backed robotics companies.",
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      {
        "user_id": 36829,
        "full_name": "Oliver Ortlieb",
        "title": "Founder/CTO",
        "founder_bio": "Oliver is the co-founder and CTO of Ultra.\n\nBefore co-founding Ultra, Oliver Ortlieb was the Co-founder & CTO at Voodoo Manufacturing where he built the software and systems to support one of the largest 3D printing factories in the world. Prior to that, he co-founded Layer By Layer, a secure marketplace for 3D-printable products. He holds multiple patents in the field of 3D printing, and received his BS in Computer Science from Harvey Mudd College.",
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        "linkedin_url": "https://www.linkedin.com/in/oliverortlieb",
        "x_url": "",
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      {
        "user_id": 1831182,
        "full_name": "Chetan Parthiban",
        "title": "Founder",
        "founder_bio": "Chetan is a Co-Founder and Chief Scientist of Ultra. \n\nHe studied Mathematics and Robotics at the University of Pennsylvania, where he received both his BA and MSE. Chetan has deep experience in applied AI as he was one of the first machine learning scientists at Arena, where he focused on applying machine learning to solve high frequency decision making problems. ",
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        "id": 74646,
        "title": "Robotics Software Engineer",
        "url": "https://www.ycombinator.com/companies/ultra/jobs/Dureryz-robotics-software-engineer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Robotics",
        "salary_range": "$150K - $250K",
        "equity_range": "0.10% - 1.00%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
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        "location": "New York, NY, US",
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        "location": "NY, US",
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        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$175K - $275K",
        "equity_range": "0.25% - 0.75%",
        "experience": "3+ years",
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        "title": "Senior Mechatronics Engineer - R&D",
        "url": "https://www.ycombinator.com/companies/ultra/jobs/2TWk03F-senior-mechatronics-engineer-r-d",
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        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
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        "id": 102725,
        "title": "Deployment Engineer",
        "url": "https://www.ycombinator.com/companies/ultra/jobs/ypeplP4-deployment-engineer",
        "location": "New York, United States",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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        "id": 102726,
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        "url": "https://www.ycombinator.com/companies/ultra/jobs/pq8Nnee-field-support-technician",
        "location": "New York, United States",
        "type": "Full-time",
        "role": "Support",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 102727,
        "title": "Senior Electrical Engineer",
        "url": "https://www.ycombinator.com/companies/ultra/jobs/67kIKjJ-senior-electrical-engineer",
        "location": "New York, United States",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 102728,
        "title": "Supply Chain and Procurement Lead",
        "url": "https://www.ycombinator.com/companies/ultra/jobs/bwhTqw4-supply-chain-and-procurement-lead",
        "location": "New York, United States",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
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        "id": 102729,
        "title": "Robot Manufacturing Technician",
        "url": "https://www.ycombinator.com/companies/ultra/jobs/GmHGHC0-robot-manufacturing-technician",
        "location": "New York, United States",
        "type": "Full-time",
        "role": "Operations",
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        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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        "title": "Research Scientist",
        "url": "https://www.ycombinator.com/companies/ultra/jobs/JUvjsB0-research-scientist",
        "location": "New York, United States",
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        "visa": "US citizen/visa only",
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        "id": 102734,
        "title": "Technical Program Manager, Data & Autonomy",
        "url": "https://www.ycombinator.com/companies/ultra/jobs/yOuxbEY-technical-program-manager-data-autonomy",
        "location": "New York, United States",
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        "url": "https://www.ycombinator.com/companies/ultra/jobs/FBkPnMN-founding-product",
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        "url": "https://www.ycombinator.com/companies/ultra/jobs/hyzmpbG-senior-software-infrastructure-engineer",
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        "location": "New York, United States",
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        "title": "Head of Hardware",
        "url": "https://www.ycombinator.com/companies/ultra/jobs/fCC9bhS-head-of-hardware",
        "location": "New York, United States",
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        "url": "https://www.ycombinator.com/companies/ultra/jobs/IYhbTmv-facilities-office-manager",
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        "url": "https://www.ycombinator.com/companies/ultra/jobs/nXjHf7e-head-of-pilot-operations",
        "location": "New York, United States",
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    "news": [
      {
        "title": "Ultra raises $62 million for fast-growing ‘robots as a service’ business, announces tie-up with AI research firm Physical Intelligence | Fortune",
        "url": "https://fortune.com/2026/10/09/ultra-raises-62-million-fast-growing-robots-service-tie-up-ai-research-firm-physical-intelligence/",
        "date": "Oct 09, 2026"
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    "launches": [
      {
        "id": 83218,
        "title": "🇺🇸🤖 Ultra - Building the next million robots to automate American warehouses",
        "tagline": "Warehouses are filled with dull, repetitive tasks still done by people. Ultra makes robots to change that.",
        "body": "**_TL;DR_**: Ultra robots automate e-commerce order packaging and returns in fulfillment centers. Traditional automation isn't working for warehouses because it's costly, rigid, and often underutilized. Our robots are different: they’re easy to deploy, resilient to changing environments, and powered by AI that’s trained with examples.\n\n![uploaded image](/media/?type=post&id=83218&key=user_uploads/36827/b95e65a5-16bd-4a49-9790-0cf80c5b5c27)\n\nHi everyone - we’re [Oliver](https://www.linkedin.com/in/oliverortlieb/), [Chetan,](https://www.linkedin.com/in/chetan-parthiban/) [Jon](https://www.linkedin.com/in/jmschwartz11/), and [Max](https://www.linkedin.com/in/mfriefeld/). After years of building and scaling manufacturing and robotics companies (_Layer By Layer, S13, and Voodoo Manufacturing, W17_), we’re now focused on bringing automation to the industries that need it most.\n\n![uploaded image](/media/?type=post&id=83218&key=user_uploads/36827/8b8174a9-9ca6-46cc-b6f6-f7b1e854c160)\n\nWe believe we’re at a moment in history when robots can be made accessible and capable enough for mass adoption - and we need it more than ever.\n\n**Labor is harder to come by than it’s been in decades**.\n\nImagine running a warehouse: you hire 20 temp workers to come in one day, but only 15 show up in the morning, and just 5 return after lunch. That’s the reality one of our partners told us they face.\n\nIn 2018, the U.S. entered its first labor shortage in over 60 years. Today, we are short over 1.3 million workers, causing companies to go understaffed or rely on high-churn temp labor.\n\nAnd yet, **traditional warehouse automation isn’t being adopted fast enough**.\n\n![uploaded image](/media/?type=post&id=83218&key=user_uploads/36827/04cde5a1-5136-4f3b-b880-24464506183b)\n\n# **🤖 Ultrabots**\n\nUltra is building robots that can be dropped in at existing workstations and quickly trained to do repetitive tasks. They are more cost-effective than human labor and can operate around the clock, giving your team [✨](https://emojipedia.org/sparkles)superpowers[✨.](https://emojipedia.org/sparkles)\n\nWe use reliable off-the-shelf hardware so we can focus on rapid deployment. The key to unlocking the next million robots is data scale, and the fastest way to get there is to put robots in real-world environments doing useful tasks.\n\n# **⏰ Why Now?**\n\nRecent AI breakthroughs mean we can control robots with neural nets trained with examples, rather than with explicitly programmed routines.\n\n![uploaded image](/media/?type=post&id=83218&key=user_uploads/36827/ebd67a19-babf-4f49-81f4-7994950ed7f7)\n\n_Above is an example of a fully autonomous picking policy we trained on \\~2hrs of data from teleoperating our research arms. The two RGB camera feeds are the input to the model, which outputs the joint+gripper positions at 10Hz._\n\n![uploaded image](/media/?type=post&id=83218&key=user_uploads/36827/13ced136-d5de-4a57-ade8-cb53e074a4a7)\n\n_Examples of emergent behavior learned from the training data, but not explicitly programmed like what would be required in traditional automation._\n\n# **🙏 Asks**\n\nWe’d love to connect to e-commerce 3PLs and large brands that handle their own fulfillment. You can reach us at [founders@ultra.tech](mailto:founders@ultra.tech). Thanks!",
        "url": "https://www.ycombinator.com/launches/LeE-ultra-building-the-next-million-robots-to-automate-american-warehouses",
        "votes": 66,
        "created_at": "2024-08-20T14:59:15.048Z"
      },
      {
        "id": 66553,
        "title": "YC Deals - Access to software deals for employees at YC companies",
        "tagline": "Employees at YC companies have access to more than 100 discounts and exclusive offers on industry leading tools.",
        "body": "Hello, [Oliver](https://www.linkedin.com/in/oliverortlieb/) and [Zach](https://www.linkedin.com/in/zach-kamran/) here, software engineers at Y Combinator. We are thrilled to announce YC Deals. \n\nEmployees at YC companies can now leverage one of the major benefits previously only available to YC founders – [YC Deals](https://deals.ycombinator.com/). Through YC Deals, employees have access to more than 100 discounts and exclusive offers on industry leading tools. There are already $500,000 worth of free credits and discounts available, and new deals are constantly being added.\n\n**❌ The Problem**\n\nWe built YC Deals for our companies with a growing team. The founders still want to take advantage of the wide variety of discounts and free credits that YC companies receive, but their employees don’t have access to Bookface (our internal platform for YC founders), where these exclusive deals are listed. \n\n**✨ Our Solution**\n\nNow any employee of a YC company can redeem these deals and help their company save money. Building something new? There are dozens of dev tools like PostHog, Fivetran, and OneSignal.  First HR or ops hire? Get Deel and Stable up and running at a discount. In charge of security? Check out Vanta.  Also find deals on startup staples, like Gusto, GitHub, Algolia, and Amplitude. Help build and grow your company using world-class tools on a startup budget. \n\n![](https://lh5.googleusercontent.com/OVsQc12ujUnJFjcR_OxLDPXrIqj4mEsltXolYe2QhAQEnu2RuZ3Fxv57z2kkc_q2P9rfXhkFKPmJzqM2pJ-th57ArroztYuQQ43o04-PI_6lwk6qWZxnAWciWP6K7x5i8ZTQiBabH2s5ax5vH2n5nh7UUjf1Y4_F3-hK7cxIzjMPxTTyqYIzK0pp)\n\n**👉 Next steps**\n\nEmployees at YC companies can access YC Deals by completing a simple email verification flow using their company email address [here](https://deals.ycombinator.com/).\n\nIf you’d like to offer a deal to the YC community and their employees, you can submit one [here](https://bookface.ycombinator.com/deals/new). \n\nAny additional questions about YC Deals? Visit our FAQs [here](https://deals.ycombinator.com/faq).",
        "url": "https://www.ycombinator.com/launches/HJR-yc-deals-access-to-software-deals-for-employees-at-yc-companies",
        "votes": 20,
        "created_at": "2022-10-06T16:03:12.293Z"
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      "url": "https://www.ycombinator.com/people/jared-friedman"
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        "full_name": "Rithwik Pattikonda",
        "title": "Founder/CEO",
        "founder_bio": "Founder at Roger (aka ClawGTM / MoneyPrinter)\n\nPreviously bootstrapped and scaled OctoShop to a $2M+ all cash exit before I graduated college. Bootstrapped TravelArrow to 1.7M+ ARR with $0 marketing spend.\n",
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        "linkedin_url": "https://www.linkedin.com/in/rithwikpattikonda",
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        "title": "Founding Account Executive (Senior – US)",
        "url": "https://www.ycombinator.com/companies/augment-inc/jobs/vgDaU2i-founding-account-executive-senior-us",
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        "title": "ClawGTM - OpenClaw for Sales",
        "tagline": "Autonomous agents that research and sell your product 24/7.",
        "body": "**TL;DR:** ClawGTM turns your website URL into an autonomous sales force. Our OpenClaw agents identify your best-fit leads, perform deep contextual research, and start conversations on Email and LinkedIn, all in under 60 seconds.\n\n### **The Problem**\n\nMost founders and sales teams are stuck in a manual loop. You spend hours hunting for leads and stalking LinkedIn profiles, only to send \"personalized\" emails that still feel like templates.\n\nExisting \"AI SDRs\" have made this worse. They've flooded inboxes with generic, robotic spam that prospects have learned to ignore. If your outreach doesn't have **real reasoning** behind it, it’s going straight to the bin.\n\n### **Meet ClawGTM: Your Autonomous GTM Engine**\n\nClawGTM doesn't just \"automate\" emails; it **deploys intelligence**. Built on the viral OpenClaw framework, our agents perform the heavy lifting of a full sales team:\n\n* **Website as a Prompt:** Paste your URL. The agent reads your site to understand your core value prop and target audience.\n* **Hyper-Detailed ICP Filtering:** The agent performs deep, multi-layered filtering to find prospects in specific niches that traditional tools miss.\n* **Job-Based Intelligence:** The agent monitors **hiring patterns** and **leadership changes** to infer what a company is dealing with. If they are hiring for \"Postgres DBA\" or \"Compliance Officer,\" the agent identifies the specific tools they use and the internal hurdles they are currently facing.\n* **Multi-Channel Execution:** Once the niche is identified, it coordinates across Email and LinkedIn with 1-of-1 messaging that reflects your product's specific value.\n\n### **Start Today**\n\nReady to stop \"doing\" sales and start deploying agents?\n\n* **Try it now:** <https://clawgtm.com>\n* **Email us:** rithwik@hireroger.com\n* **Text us:** +1 (469) 328-3769\n\n**You build the product. We’ll find the people who need it.**\n\n![uploaded image](/media/?type=post&id=98298&key=user_uploads/1843987/49dacac4-b93a-4c05-8f3d-24e9ce0ac3b8)\n\n",
        "url": "https://www.ycombinator.com/launches/PZS-clawgtm-openclaw-for-sales",
        "votes": 24,
        "created_at": "2026-02-28T18:16:48.649Z"
      },
      {
        "id": 91648,
        "title": "Roger: The AI Sales Rep That Books You Meetings While You Sleep",
        "tagline": "Let Roger handle your outbound. It finds leads, personalizes messages, and fills your calendar automatically.",
        "body": "Tired of outbound tools that just _send emails_? Roger goes way further.\n\nRoger is your AI sales rep: it finds leads, understands what they care about, and messages them across email + LinkedIn to book meetings. Fully automated, deeply personalized.\n\n![uploaded image](/media/?type=post&id=91648&key=user_uploads/1843987/3a7cc9ac-e768-4954-be4e-57194f4912f5)\n\n⚡ \\*\\*Set it up once. Then forget it.\\*\\*\\\nFounders call Roger their “money printer” because it runs in the background, filling their calendar while they work on product.\n\n🔍 **How it works:**\n\n**1. Finds leads**\\\nRoger deploys agent swarms across 300M profiles, live job listings, and even custom scrapers to turn raw data into targeted prospects.\n\n**2. Understands context**\\\nIt reads company descriptions, roles, and products to deeply understand what each lead actually needs.\n\n**3. Reaches out smartly**\\\nThen Roger crafts personalized messages across email and LinkedIn: like a top-performing SDR, but automated.\n\n**4. Books meetings**\\\nQualified leads get booked straight into your calendar. No chasing. No manual work.\n\n🏆 YC founders, agency owners, and SaaS startups are using Roger to turn cold outreach into warm intros, without lifting a finger.\n\n👉 Try it here: https://hireroger.com/ycl\n\n[https://www.youtube.com/watch?v=oP35TBbndfA](https://hireroger.com%EF%BF%BC%F0%9F%93%A9\\)https://www.youtube.com/watch?v=oP35TBbndfA)",
        "url": "https://www.ycombinator.com/launches/NqC-roger-the-ai-sales-rep-that-books-you-meetings-while-you-sleep",
        "votes": 25,
        "created_at": "2025-06-25T20:14:36.057Z"
      },
      {
        "id": 82885,
        "title": "CardLift - Achieve top-of-wallet status for your credit card program",
        "tagline": "CardLift builds co-branded browser extensions to help credit card issuers maximize their share of wallet ",
        "body": "### **TL;DR**\n\n[CardLift](https://withcardlift.com) builds co-branded browser extensions to help credit card issuers maximize their share of wallet (and, in turn, per-user revenue).\n\n### How It Works\n\nWe build your credit card program a co-branded browser extension. When a user signs up for your card, you can incentivize them to add your extension to their browser. Your users are now 2 - 4x more valuable.\n\n**Migrate Existing Spend**\n\n![](https://bookface.ycombinator.com/media/?type=post&id=82885&key=user_uploads/1843987/39dd468e-f9db-4e37-99de-e26e987eb907)\n\nWhen your credit card program onboards a new user, we make it dead simple for them to switch their card-on-file at all of their top online merchants to your card with one click.\n\nOur AI-powered browser extension not only automatically detects where your users spend the most (Netflix, Amazon, T-mobile, Progressive), but also lets them switch out their primary payment method to your card with one click. Users press a button in their browser, and their card-on-file everywhere instantly switches to their shiny new card (your card!).\n\nOffer your users an incentive to make this switch, and watch your per-user GMV transaction volume skyrocket even more.\n\n**Ensure You Continue To Capture Future Spend**\n\nWe don’t just help when a user signs up to your card program. Our fast checkout technology embeds “One Tap Checkout ” on the checkout page at over 50,000 e-commerce sites - making your card the easiest way for users to complete any transaction on their browser.\n\n![](https://bookface.ycombinator.com/media/?type=post&id=82885&key=user_uploads/1843987/3b3cd133-188f-4cc5-ae83-acc536f9a3af)\n\nYou can even customize the copy to tell the user why to use your card for that specific purchase. For example, if you were Chase, you could prompt your users to use their Sapphire Preferred card on Avis BECAUSE it offers car rental insurance.\n\n**Make Your Card Program More Rewarding**\n\nFor the final cherry on top, we partner with over 1,000 of the country’s top merchants to offer additional affiliate-based cash back that you can add to your existing cashback. Your users can now earn double or even triple the cash back on Sephora when they use your “One Tap Checkout” button instead of their other cards.\n\n**Full Demo** - [**https://cardvaultco.com/demo**](https://cardvaultco.com/demo)\n\n### About Us\n\nCardLift is founded by Rithwik Pattikonda - serial browser extension entrepreneur who has built some of the world’s largest browser extensions - OctoShop (acquired by NYSE:IBTA) and TravelArrow (300,000+ users). At CardLift, his goal is to bring some of the learnings and insights from his previous consumer browser extensions to financial institutions.\n\n![](https://cdn.discordapp.com/attachments/1212589593891962932/1271520594176905327/image.png?ex=66b7a355&is=66b651d5&hm=1c437c539af419875ef3b0cdef2bccbd3544f95b7a70f6f85caa671749728256&=)\n\n",
        "url": "https://www.ycombinator.com/launches/LYr-cardlift-achieve-top-of-wallet-status-for-your-credit-card-program",
        "votes": 62,
        "created_at": "2024-08-09T15:28:53.226Z"
      }
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  },
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    "id": 29571,
    "name": "Apten",
    "slug": "apten",
    "former_names": [
      "Attent"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fba5782492516410e226be3162e29ac3095f17be.png",
    "website": "https://www.apten.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Apten is an omni-channel AI agent that engages and nurtures leads across text, call, email, and webchat. \r\n\r\nWe help enterprises in consumer services convert more leads.",
    "one_liner": "Omnichannel AI agents that engage leads across SMS, voice, and email",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B -> Marketing",
    "launched_at": 1715787443,
    "tags": [
      "Sales",
      "Marketing",
      "SMS",
      "AI Assistant"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Active",
    "industries": [
      "B2B",
      "Marketing"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/apten",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/apten.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/apten",
    "x_url": "https://twitter.com/Apten_AI",
    "fb_url": "https://www.facebook.com/people/Apten/61552046652434/",
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    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
    },
    "founders": [
      {
        "user_id": 1547400,
        "full_name": "Daniel Ho",
        "title": "Founder/CEO",
        "founder_bio": "Daniel is the Co-founder & CEO @ Apten. Previously a PM at Tesla building systems to automate the detection and chargeback of supplier issues ($XXM in cost recovery / year). Built supply chain analytics at Amazon, Lucid Motors, and Walmart. Studied Economics + Data Science at UC Berkeley. \n\n",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/danielho799",
        "x_url": "https://twitter.com/dho1357",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1d9e3906182a989d57a4ff7307466a2eafe768e8.jpg"
      },
      {
        "user_id": 1522706,
        "full_name": "Roshan Kumaraswamy",
        "title": "Founder/CTO",
        "founder_bio": "Roshan is the Co-founder & CTO at Apten.\n\nBefore Apten, Roshan spent three years at AWS building sales planning applications & data platforms to empower the AWS Sales org. Before that, he ideated & built multi-data source capabilities for Flux (language) at InfluxData (YC W13) as one of their first interns, and studied EECS at UC Berkeley for 3 years.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/roshan-kumaraswamy",
        "x_url": "https://twitter.com/roshan_k_",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3b8cfc6f85af36d943e5baaead1673d8ac42ad32.jpg"
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    "jobs": [
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        "id": 80696,
        "title": "Founding SDR",
        "url": "https://www.ycombinator.com/companies/apten/jobs/Wh8L33A-founding-sdr",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$75K - $145K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 83503,
        "title": "Software Engineer (Full Stack)",
        "url": "https://www.ycombinator.com/companies/apten/jobs/9vu8UGR-software-engineer-full-stack",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$140K - $180K",
        "equity_range": "0.20% - 1.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
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          "Node.js",
          "Python",
          "React",
          "Prompt Engineering"
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    "news": [],
    "launches": [
      {
        "id": 94921,
        "title": "Apten: omni-channel AI agents for B2C sales/marketing",
        "tagline": "Convert more leads across text, call, email, and webchat.",
        "body": "TLDR: Apten is an **omni-channel AI agent** that engages and nurtures leads across **text, call, and email, and webchat.**\n\nWebchat specifically has been around for ages - but when a lead starts a conversation on the website and leaves halfway through, **they’re** **gone.**\n\nApten is not only able to start a conversation through webchat, but **proactively reach out via SMS/voice/email once the lead goes inactive.**\n\nToday, Apten automates sales/marketing for hundreds of thousands of leads each month - we work with some of the largest enterprises in consumer services (industries including home services, healthcare, education, financial services, and insurance).\n\nhttps://www.youtube.com/watch?v=63At2HXNX4k\n\n# **The Problem**\n\nB2C services companies today **(insurance, home services, financial services, education, etc)** rely on a combination of call centers, dialers, email/sms marketing automation systems to convert new leads.\n\nThese systems fall short because:\n\n* Human teams are required to scale up dialing/call efforts (leads slip through the cracks)\n* SMS/email automations are typically one-way, static sequences without personalization\n\n# **Our Solution**\n\nApten automates sales and marketing for B2C enterprises with:\n\n* **Omni-channel capabilities**: set up a single conversational flow that works across SMS, voice, email, and webchat.\n  * Apten maintains unified memory across SMS, voice, emai, and webchat (just like a human does) to **personalize conversations at scale**\n  * Apten can also **switch between channels** at anytime to **meet a lead where they want to be met**\n  * Move leads through different conversational flows depending on **where they are in the customer/lead journey**\n* **Intelligent follow-up:** Apten will not only personalize follow-ups based on what it knows about a lead or a past conversation, but it will also dynamically adjust **when to follow-up based on a lead’s repsonse**\n  * Personalized AI voicemails can be left on dial attempts that go to an answering machine\n  * Apten is able to use local presence dialing to auto-match the number it dials from to one that best matches the lead’s area code\n* **AI tools:** Apten can take actions with your systems (scheduling, dialers, quote APIs, etc)\n* **Human in the loop:** Handles transfers to your human team at any time (cold or warm). Apten can also dynamically transfer to specific numbers depending on\n* **Reliability:** setup custom guardrails that automatically detect non-compliant messages and proactively fix them before they’re sent to the lead\n\n# **Our Ask**\n\nIf you’re an enterprise that:\n\n* Falls in a consumer services industry (home services, financial services, insurance, education, healthcare, auto, law, etc)\n* Generates a high volume of leads (5k+ leads / mo)\n* Uses marketing automation (drip texts/emails, dialer sequences) + a sales team/call center to engage leads over the phone\n\nWe’d love to chat - you can find us at http://apten.ai.",
        "url": "https://www.ycombinator.com/launches/Ogz-apten-omni-channel-ai-agents-for-b2c-sales-marketing",
        "votes": 14,
        "created_at": "2025-10-27T15:16:24.244Z"
      },
      {
        "id": 91362,
        "title": "Apten: Omni-channel AI Agents for Sales and Marketing",
        "tagline": "Engage and nurture leads across text, call, and email",
        "body": "TLDR: Apten is an **omni-channel AI agent** that engages and nurtures leads across **text, call, and email.**\n\nToday, Apten automates sales and marketing conversations across hundreds of thousands of leads.\n\nIt responds at any time, automatically follows up with personalized messages, and **dynamically switches between channels** to meet leads where they want to be met.\n\nhttps://www.youtube.com/watch?v=3EX6BxpnAVQ\n\n# **The Problem**\n\nB2C services companies today **(insurance, home services, financial services, education, etc)** rely on a combination of call centers, dialers, email/sms marketing automation systems to convert new leads.\n\nThese systems fall short because:\n\n* Human teams are required to scale up sales operations\n* SMS/email automations are typically one-way, static sequences\n\n# **Our Solution**\n\nBuilt for enterprise, Apten comes with:\n\n* **Omni-channel capabilities**: set up a single conversational flow that works across SMS, voice, and email\n  * Apten maintains unified memory across SMS, voice, and email (just like a human does) to personalize conversations at scale\n  * It also processes existing data/context about leads from your CRM to nurture leads with relevant follow-ups\n* **AI tools:** Give Apten an API, and it will take actions with your systems (scheduling, dialers, quote APIs, etc)\n* **Human in the loop:** Handles transfers to your human team at any time (cold or warm)\n* **Reliability:** includes a native guardrail system that automatically detects non-compliant messages and proactively fixes them before they’re even sent out\n\n# **Our Ask**\n\nIf you’re a business that:\n\n* Generates a high volume of leads (2k+ leads / mo)\n* Uses marketing automation (drip texts/emails, dialer sequences)\n* Is scaling up a sales team\n\nWe’d love to chat with you - you can find us at http://apten.ai.",
        "url": "https://www.ycombinator.com/launches/Nla-apten-omni-channel-ai-agents-for-sales-and-marketing",
        "votes": 5,
        "created_at": "2025-06-17T13:40:44.819Z"
      },
      {
        "id": 87585,
        "title": "Apten - AI SMS + voice agents to convert leads",
        "tagline": "An AI agent that texts & calls in the same way as a human",
        "body": "**TLDR:** We help B2C companies automate sales and marketing with custom AI SMS and voice agents. Apten handles inbound/outbound calls + texts 24/7, automatically follows up at the right time, and syncs with your knowledge base/systems.\n\nHey everyone - we’re Daniel and Roshan, the founders of Apten :)\n\nOver the last 8 months since launching, we’ve helped companies engage tens of thousands of new leads each month.\n\nToday, Apten becomes an AI agent that can both text and call in the exact same way a human does.\n\n<https://youtu.be/3PWHGb96pCE>\n\n# **The Problem**\n\nB2C services companies today **(insurance, home services, financial services, education, etc)** rely on a combination of call centers, dialers, and automated text systems to convert new leads.\n\nFollow-ups are not personalized or are manually done by humans, and leads do not get immediate responses 24/7.\n\n# **Our Solution**\n\nApten is an AI agent that:\n\n* Handles inbound/outbound texts + calls, 24/7\n* Can switch from SMS to voice (and vice versa) at any time in the conversation\n* Guides leads down customizable conversational flows\n* Takes actions with your systems (e.g. pull in quote premiums from an insurance company’s API)\n* Syncs with your knowledge base to pull in relevant info at any time\n\nWhite glove onboarding/support included for every customer!\n\n# **Our Ask**\n\nIf you’re a business that:\n\n* Generates a high volume of leads\n* Uses SMS or phone calls to engage/follow-up w/ leads\n* Wants to introduce AI into their sales and marketing process :)\n\nYou can find us at [http://apten.ai.](http://apten.ai)",
        "url": "https://www.ycombinator.com/launches/Mmf-apten-ai-sms-voice-agents-to-convert-leads",
        "votes": 6,
        "created_at": "2025-02-11T18:52:47.642Z"
      },
      {
        "id": 81132,
        "title": "Apten 💬📲 - AI SMS agents",
        "tagline": "Apten helps businesses automate communication with customers and leads over SMS text",
        "body": "**TLDR:** We help B2C businesses automate sales, marketing, and customer service through SMS text. Customize Apten, and it’ll **proactively reach out, respond at any time, and never forget to follow up.**\n\nHey everyone - we’re [Daniel](https://linkedin.com/in/danielho799) & [Roshan](https://linkedin.com/in/roshan-kumaraswamy), the founders of [Apten](https://www.apten.ai/)! 👋 \n\n![uploaded image](/media/?type=post&id=81132&key=user_uploads/1547400/595aa8ba-e1da-4e01-b095-a4182f7b1836)\n\n# **The Problem**\n\nBusinesses currently rely on humans or traditional SMS automation (drip texting) to qualify and nurture leads. This applies to both inbound leads (e.g., ad -> website -> fills out contact/quote form and leaves phone number) and the re-engagement of existing leads in a CRM. \n\nExample industries where this happens: real estate, insurance, home services\n\n# **The Solution**\n\nAn AI SMS assistant that qualifies and nurtures leads in a **personable way** while responding 24/7 and automatically following up. \n\n[**https://www.youtube.com/watch?v=iuMYEZ4jYHE**](https://www.youtube.com/watch?v=iuMYEZ4jYHE)\n\nCustomize:\n\n* Apten’s knowledge (FAQs, info about your business, specific instructions/rules)\n* Specific conversation flows and follow-up schedules for **different types of leads**\n\nApten won’t just chat - it’ll **take actions** in a way a human would to help your business by proactively:\n\n* Categorizing/tagging leads based on the conversation\n* Creating notifications based on conditions you define\n* Determining the appropriate time to follow-up based on a lead's response\n\n \n\n![uploaded image](/media/?type=post&id=81132&key=user_uploads/1547400/6db38255-433a-4ddb-9826-20ffd76ebd45)\n\nWe’ll provide white-glove onboarding and support the whole way! \n\n# **Our Ask**\n\nIf you’re a business that:\n\n* Collects phone numbers from leads\n* Employs virtual assistants or a contact center\n* Leverages drip texting campaigns or other SMS automation\n\nWe’d love to [talk to you!](https://calendly.com/daniel-attent/20min)\n\nYou can also email us at [founders@apten.ai](mailto:founders@apten.ai)",
        "url": "https://www.ycombinator.com/launches/L6a-apten-ai-sms-agents",
        "votes": 24,
        "created_at": "2024-05-28T14:21:44.061Z"
      }
    ]
  },
  {
    "id": 29572,
    "name": "Domu Technology Inc.",
    "slug": "domu-technology-inc",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9f79a6b55a8ecb1f2df2490b9567644b34d67880.png",
    "website": "https://www.domu.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Domu automates debt-collection calls, texts, and emails for financial services and healthcare. We work with some of the largest financial institutions in the world and win by doing what nobody else is willing to do.  We are hiring :)",
    "one_liner": "AI Agents for collections",
    "team_size": 50,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1719086771,
    "tags": [
      "AIOps",
      "Call Center",
      "AI",
      "AI Assistant"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Active",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Growth",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/domu-technology-inc",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/domu-technology-inc.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/domu-ai/",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/9f79a6b55a8ecb1f2df2490b9567644b34d67880.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
    },
    "founders": [
      {
        "user_id": 972200,
        "full_name": "Camila Zancanella",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder @ Domu | The Future of Debt Collections\nCamila has 5 years of experience in multiple business areas, data analytics, and data science. She is responsible for building the models to analyze client data to personalize communication flows and decision-making processes. She previously worked at Rappi and Otter (a unit of Cloud Kitchens) and has contributed to research papers by running statistical models for business studies.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/camilazancanella",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1322dec9a670c9638b1bcf7406346e37bd8ab13e.jpg"
      },
      {
        "user_id": 715385,
        "full_name": "Nick Diaz",
        "title": "Founder",
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        "full_name": "Taranjeet Singh",
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        "title": "This Startup Is Trying To Solve The AI Memory Problem",
        "url": "https://www.youtube.com/watch?v=Sr1STQP0cds",
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      },
      {
        "title": "Mem0 raises $24M from YC, Peak XV and Basis Set to build the memory layer for AI apps | TechCrunch",
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        "title": "Mem0 - Open Source Memory Layer for AI Apps",
        "tagline": "Mem0 adds memory to AI applications, solving the problem of repetitive, stateless interactions and enabling personalized, cost-efficient AI experiences.",
        "body": "**TL;DR**\n\n[Mem0](https://mem0.ai) is an open-source memory layer for AI applications. It solves the problem of stateless LLMs by efficiently storing and retrieving user interactions, enabling personalized AI experiences that improve over time. Our hybrid datastore architecture combines graph, vector, and key-value stores to make AI apps personalized and cost-efficient. Watch our explainer video [here](https://youtu.be/Rg3_Mpr3Kcs).\n\n—\n\nHey everyone! We're Taranjeet and Deshraj, and we built [Mem0](https://github.com/mem0ai/mem0) to solve a big problem we faced with LLMs while building Embedchain (an open-source RAG framework with 2M+ downloads). LLMs don’t have memory, so they forget everything after each session. This leads to inefficient and repetitive interactions, making it hard to create personalized AI experiences. Think about having to repeat your preferences over and over again, and how frustrating that gets! Mem0 changes that.\n\n❌ **The Problem**\n\nLLMs are stateless—they don’t remember anything between sessions. Every time you interact with them, you have to provide the same context, which gets repetitive and wastes computational resources. This makes AI apps less useful and personalized over time.\n\n✨ **Our Solution**\n\n![uploaded image](/media/?type=post&id=83896&key=user_uploads/661173/ed531d50-421e-4d2f-a361-088587c27198)\n\nMem0 adds a **memory layer** to AI applications, making them stateful which allows them to store and recall user interactions, preferences, and relevant context. This way, AI apps evolve with every interaction, delivering more personalized and relevant responses without needing large context blocks in each prompt.\n\nTo make this possible, we needed to create a system that could efficiently manage and retrieve all the relevant information AI apps collect over time. That’s where Mem0’s **hybrid datastore architecture** comes in, making AI smarter and more efficient as it learns.\n\n⚙️ **How it works**\n\n[Mem0](https://mem0.ai) employs a hybrid datastore architecture that combines graph, vector, and key-value stores to store and manage memories effectively. Here’s the breakdown:\n\n* **Adding memories:** When you use Mem0 with your AI App, it automatically detects and stores the important parts of your messages or interactions.\n* **Organizing information:** Mem0 categorizes memories in three ways:\n  * **Key-value stores** for quick access to structured data (facts, preferences).\n  * **Graph stores** for understanding relationships (like people, places, objects).\n  * **Vector stores** for capturing the overall meaning and context of conversations, allowing AI apps to find similar memories later.\n* **Retrieving memories:** When an input query is received, Mem0 searches for and retrieves relevant memories using a combination of graph traversal techniques, vector similarity, and key-value lookups. It prioritizes the most important, relevant, and recent information, ensuring that the AI has the right context, no matter how much memory is stored.\n\nWatch this video for a demo of our playground in action [here](https://youtu.be/VtRuBCTZL1o)\n\n🙏 **Our Asks**\n\n* Try out [Mem0](https://mem0.ai)! We guarantee that your users will have personalized interactions after adding Mem0 in your AI apps. Moreover, you will save on your LLM costs.\n* If you are looking for a memory provider for your AI app and want to schedule a demo, please feel free to block some time on [my calendar](https://cal.com/taranjeetio/mem0) or email me at [taranjeet@mem0.ai](mailto:taranjeet@mem0.ai)\n* Checkout our platform and open-source offering and give feedback:\n  * Platform: <https://app.mem0.ai/playground>\n  * GitHub: <https://github.com/mem0ai/mem0>",
        "url": "https://www.ycombinator.com/launches/LpA-mem0-open-source-memory-layer-for-ai-apps",
        "votes": 634,
        "created_at": "2024-09-10T14:36:03.296Z"
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    "name": "Saphira AI",
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        "body": "**tl;dr: Hardware companies** use [Saphira](https://saphira.ai/) to easily **generate safety reports** and **get certified to sell** their product.\n\nWe’re [Oscar](https://www.linkedin.com/in/oavatare/) and [Akshay](https://www.linkedin.com/in/akshaychalana/), and we’ve built software for hardware and compliance at Twitter, Tesla, Amazon, and Hyperloop. \n\nWe’re making it really easy to get **UL, CE, ISO, and TÜV** certifications like **ISO 10218** and **ISO 26262** for hardware products.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXfgRUpv-5EuNnEHb2YIIuVzkGDYVFRp2ZwD4LryC9TKyufX-m6IO4V8qlC90YErv5esvNgJjWF-CXaxHa1OwaBKHuRCZarwEg_h8aBjzqPVt9kxFd-aQB_m8D_SL7nwOyiLf1k0h07SsyflNQUdd_184BAh?key=Migms48Dt65ISx6x08AVig)\n\n# What are safety certifications, and who needs them?\n\nBuilding **industrial machinery** that can hurt someone, like robot arms and autonomous trucks?  Your **customers will mandate** TÜV safety certification per particular ISO and IEC standards!  \n\nBuilding **small appliances** that plug into the grid?  Many **retailers won’t sell your product,** and **commercial buildings won’t install** it unless you’re UL or CE certified!  \n\nBuilding a **satellite or communication system**?  The **FCC won’t allow** it to operate without certification!\n\nBuilding **defense equipment** for the government?  **They won’t buy** it unless it’s compliant with the relevant MIL-STDs!\n\n# Why did we start Saphira?\n\nHardware products can’t get to market because teams **don’t know how to navigate the certification process**. Unlike SaaS, there are no tools like Vanta that tell you exactly what you need to test, change, and re-evaluate in your designs to pass audits. This sucks because every hardware company we talk to gets stuck in **rework cycles** with their consultants and auditors that they call **“horrendous and intimidating”** (real customer quote).\n\nWe've seen this at Amazon and Tesla, where engineers don't know when a change breaks certification. Each iteration requires them to work with consultants to understand what broke, lengthening the time to launch.\n\nWe created Saphira to empower these innovators to **rapidly** build complex products **that actually work**, all while achieving and maintaining compliance with the **evolving regulatory landscape**.\n\n# What does Saphira do?\n\nSaphira tells you exactly what you need to account for in your **design and testing** to **achieve and maintain** hardware safety certification and compliance. We’re a centralized data source for the **requirements, tests, and standards** that are relevant to your product, making it straightforward to **identify and triage safety and compliance risks** without wasting months of time and thousands of dollars on **slow safety consultants**.\n\nSaphira automates **traceability**: regulatory reports by engineers that prove that requirements like “the robot arm won’t shock an attendant if touched while in motion” were implemented and validated. These reports are **painful and tedious** to produce. By maintaining references to all necessary source information, Saphira can automatically generate these reports, and even automatically identify which additional standard clauses are relevant to each requirement or design value.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXfaxD8bMvNCW5gDewAe4uowrZviZqV3i00DsW2NM-2eVsuZCkRj_4t0oGKIJljGp0GTnS_AFmLlm1qLNUF4teYn5VTi6ZDyM1HtM1Vl56x3t0O4AKTWSq6FtmddRQWAtpes92noQLkImJgftBhWOqOKmWf0?key=Migms48Dt65ISx6x08AVig)\n\n# Who is Saphira for?\n\nSaphira is for engineers at hardware organizations of any scale and size:\n\n* The **safety engineering team** at an industrial robotics company can use Saphira’s **compliance report generator** (i.e. ISO-12100 and ISO-10218) to **achieve certification** to operate in the US.\n* An **engineering leader** at a hardware startup that needs UL certs to sell to more customers can use Saphira to speed up their process by months by avoiding hiring a slow safety consultant. \n* A **systems engineer** at an aerospace/defense company can use Saphira’s **AI tooling** to understand **how various military and government standards** (such as MIL-STD-810 or ISO-26262) are relevant to each facet of their specs and models.\n\n# Ask\n\n* We are experts in certifications for hardware companies.  If you think you might need this but aren't sure how to approach it, we are happy to help for free — [just reach out](mailto:akshay@saphira.ai).\n* If you know other engineering leaders seeking to improve their certification processes, [connect us](mailto:akshay@saphira.ai)! We are most interested in talking to leaders in industrial robotics, energy systems, autos, aeros, and defense. \n* If you worked at a larger hardware company before and saw any of these issues, we would love to talk just to learn from your experience\n* We would love product feedback: [book a demo](https://calendly.com/ac2zoom/30min)!",
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        "body": "**tl;dr:** We capture **requirements and design** in a central platform so that safety for complex physical products can be continuously evaluated: a simple and easy-to-use alternative to Jama or IBM DOORS.\n\nWe’re [Oscar](https://www.linkedin.com/in/oavatare/) and [Akshay](https://www.linkedin.com/in/akshaychalana/), and we’ve built hardware controls and virtualization for Tesla, Amazon, and Hyperloop. We’ve blown up prototypes and fried lasers by not applying effective system design and are building tools to make it easier to prevent such failures.\n\n![uploaded image](/media/?type=post&id=81405&key=user_uploads/1549881/efe6234d-8f86-4d19-b499-4fc3380514eb)\n\n# Why did we start Saphira?\n\nWhile building Hyperloop pods, we struggled with unusual and novel constraints: we had to take the propulsion, braking, and electronics of a sophisticated train and make them work perfectly in a vacuum chamber. Basic things that work in the normal world just didn’t there: network activity was severely throttled so remote control and telemetry were difficult, and electronics would arc more easily, requiring additional protections. This mandated that we put together clear **product requirements** that we needed to integrate and validate across the entire implementation stack, which turned out to be so hard that we struggled to get our pods working in time and faced weeks of all-nighters just to fail review and be barred from the race!  \n\nSince then, we’ve been searching for how large organizations we’ve been part of, like Tesla and Amazon, have made this easier: in truth, they haven’t! The most mature, most established industries, such as aerospace, account for this with **process**: intensive modeling, documentation, and data entry that **innovators don’t have time for**. When regulation and certification standards are put in place, **products are taken off the market or endure years-long delays**. \n\nWe created Saphira to empower these innovators to rapidly build complex products **that actually work**, all while achieving and maintaining compliance with the **evolving regulatory landscape**.\n\n![](https://lh7-us.googleusercontent.com/docsz/AD_4nXc5i1avhrYfKOrHWzQzEyt6C88KBCZnFtCGL4YRw6nTaPipxU2-cXEpcxY4d9qHtMD0sO84I2xragUNrmUAdAju9BAD-HWgoS54BIUZX2U-bNV4n_cv0WnQwgnTq-zsSdo5Vf-6L6h8SJ0dKuJoPWOEygG3?key=Ebyb5ZyTMv3M7lBQpS9B7Q)\n\n# What does Saphira do?\n\nSaphira is a **single source of truth** where requirements, architecture, and tests can all be entered, parsed from existing documents, and tied together so that safety risks are identified and triaged quickly.\n\nSaphira is the easiest way to demonstrate **traceability**: regulatory reports by engineers that prove that requirements like “the Hyperloop pod must not catch fire in a vacuum chamber” were implemented and validated. These reports are painful and tedious to produce: by maintaining references to all the source information for them, Saphira can automatically generate them! Most importantly, Saphira removes systems engineers as a bottleneck to updating foundational engineering data, enabling any engineer to model and report on safety and compliance, making traceability easy for any fast-moving team.\n\n![](https://lh7-us.googleusercontent.com/docsz/AD_4nXe_cgZGZGZLN8qYxQsHQhSKZbvtyL0vH1UGAAEu8uQr02TBKvptPzordelrm_y0Ltrns4l7GOCUsEjQYy1F8l1igdLtVx85IywthG9bRGS6CsAQI9zTzAVYbLV6aIdKlFwj64DEsu2_hGe-PMGeew_SbAl2?key=Ebyb5ZyTMv3M7lBQpS9B7Q)\n\nUltimately, we see traceability as not just a regulatory requirement but an enabler for automated engineering: as engineers define the relationships we use to sync data between, say, their codebase and task management system, this can be used to automatically propagate changes across an entire system! For example, one could change the requirement for a motor to produce 200 Nm of torque to 300 Nm: since they had linked this through a formula in Saphira to the current draw requirement from the battery, we would automatically update that in the power distribution PCB schematics, short-circuiting hours of work per change!\n\n# Who is Saphira for?\n\nSaphira is for engineers at innovative companies designing and building safety-critical hardware and software systems at organizations of any size:\n\n* The **safety engineering team** at an industrial robotics company can use Saphira’s **compliance report generator** (i.e. ISO-12100 and ISO-10218) to **achieve certification** to operate in the US a year faster than it otherwise would be able to.\n* A **systems engineer** at an AV startup can use Saphira’s test management framework to perform **release safety reviews** 50% faster and double their pace of software iteration.\n* The **head of hardware** responsible for **writing product requirements** at an energy startup that makes residential batteries can use Saphira’s **AI tooling** to parse design documents and generate supplier specifications in half the time to get faster quotes from prospective manufacturers and ship to customers sooner.\n\n# Ask\n\n* If you are seeking an engineering/application lifecycle management, requirements management, or systems engineering tool for your hardware company, [let’s talk](mailto:akshay@saphira.ai)!\n* If you know other engineering leaders seeking to improve their processes, [connect us](mailto:akshay@saphira.ai)! We are most interested in talking to leaders in industrial robotics, energy systems, autos, aeros, and defense. \n* If you worked at a larger hardware company before and saw any of these issues, we would love to talk just to learn from your experience\n* We would love product feedback: [book a demo](https://calendly.com/ac2zoom/30min)!",
        "url": "https://www.ycombinator.com/launches/LAz-saphira-ai-orchestrating-safe-hardware-engineering",
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    "news": [
      {
        "title": "Defense tech Theseus landed Y Combinator, the US Special Forces, and $4.3M from a tweet | TechCrunch",
        "url": "https://techcrunch.com/2025/04/17/defense-tech-theseus-landed-y-combinator-the-us-special-forces-and-4-3m-from-a-tweet/",
        "date": "Apr 17, 2025"
      }
    ],
    "launches": [
      {
        "id": 83768,
        "title": "Theseus: GPS Denied Navigation for Drones",
        "tagline": "Our Visual Navigation System is a replacement for GPS that works with any drone.",
        "body": "![uploaded image](/media/?type=post&id=83768&key=user_uploads/1290514/a1856391-04dc-473d-92dd-9ad6c8a8cb95)\n\nSix months ago we did a hackathon, this month we sold to SOCOM. Our Visual Navigation System (VNS) uses cameras, an inertial measurement unit, and pre-loaded satellite imagery to determine it’s position and send a fake GPS signal to any drone. Integrations typically take <30min.\n\n### How It Started\n\n![uploaded image](/media/?type=post&id=83768&key=user_uploads/1290514/3f680d0f-91e3-4f9e-bf5f-212a076df8fa)\n\nIn February, [Carl](https://www.linkedin.com/in/carlscho) was a Senior at Stanford, [Sacha](https://linkedin.com/in/sacha-levy) was a PhD student at Yale, and [Ian](https://linkedin.com/in/ian-laffey-943200247) was working with a British celebrity. After our post went viral, we spent weeks talking with troops on the ground, drone manufacturers, and DoD.\n\nWe learned that:\n\n\\- The front lines of Ukraine are 100% GPS-denied\n\n\\- Cheap, DIY drones are extremely effective but typically rely on GPS\n\n\\- Existing GPS alternatives are extremely heavy and extremely expensive\n\nWe set out to create a low-cost, low-weight replacement for GPS that works with any drone.\n\n### How It’s Going\n\n![uploaded image](/media/?type=post&id=83768&key=user_uploads/1290514/edd612ed-a0d4-421d-afe4-36931183b93f)\n\nOur first customer in the Special Forces has enabled us to push our VNS to its limits, and the results have been impressive. Here are a few excerpts from a memorandum written by the Captain we work with:\n\n_“Having tested the Theseus’ VizNav system for a week, I am convinced that their technology presents the best solution for a current, and ever-expanding urgent operational need.”_\n\n![uploaded image](/media/?type=post&id=83768&key=user_uploads/1290514/edd4eb3e-a568-4519-84a8-de2020556437)\n\n_“As a company, Theseus has shown a willingness to seek the ground truth from the operator and make improvements based on these recommendations immediately. The progress they have made with limited funding gives me incredible confidence that they act quicker and more efficiently than any other vendors we have worked with.”_\n\n![uploaded image](/media/?type=post&id=83768&key=user_uploads/1290514/7fe82322-4001-49c7-b9ab-255c2a9174d6)\n\nDue to the sensitive nature of our product, technical details and customer-specific information in this post will be limited. We are happy to discuss results in more detail privately.\n\n### Going Forward\n\n![uploaded image](/media/?type=post&id=83768&key=user_uploads/1290514/5acb4bc0-1658-47f2-83ef-38d0dd6d3601)\n\nAmerica is way behind. The current demand for drones in Ukraine is 1-2 million yearly. Every country in the world sees this and is in the process of building out its arsenal. Our product affordably enables an entirely new capability set for every one of these platforms.\n\nWe have sold units to multiple customers, have six-figure LOIs from large drone manufacturers, integrations scheduled, and eight figures in funding for our VNS requested by the DoD for FY25.\n\nThe West needs to build millions of drones, and all of those drones need Theseus.\n\n![uploaded image](/media/?type=post&id=83768&key=user_uploads/1290514/3f997243-9cf5-4868-9a58-fda72313a613)\n\n",
        "url": "https://www.ycombinator.com/launches/Ln6-theseus-gps-denied-navigation-for-drones",
        "votes": 57,
        "created_at": "2024-09-04T22:35:57.651Z"
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    "id": 29597,
    "name": "Spaceium Inc",
    "slug": "spaceium-inc",
    "former_names": [],
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    "website": "https://spaceium.com",
    "all_locations": "Ottawa, ON, Canada",
    "long_description": "Spaceium builds fully automated space stations to refuel and repair spacecraft. We have secured $86.1 million in binding commercial contracts and have an additional $230 million in the pipeline. Additionally, we have 1 billion dollars in letters of intent. We have successfully tested our hardware, which will launch to space next year. \r\n\r\nOur fully automated space stations will efficiently store and transfer both cryogenic (extremely cold) and non-cryogenic fuels with zero loss during storage and transfer. And they can transfer fuel seamlessly to any spacecraft design using our proprietary modular robotic arm.\r\n\r\nOur customers include launch vehicles, orbital transfer vehicles, moon landers, and spacecraft that benefit from increased payload capacity and extended travel capabilities. Our long-term vision is to build service hubs along the space superhighway to connect Earth to Moon and Mars and help humanity to become multi multi-planetary species\r\n",
    "one_liner": "In-Space Refueling",
    "team_size": null,
    "industry": "Industrials",
    "subindustry": "Industrials -> Aviation and Space",
    "launched_at": 1715783569,
    "tags": [
      "Hard Tech",
      "Robotics",
      "Space Exploration",
      "Aerospace"
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    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Active",
    "industries": [
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/spaceium-inc",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/spaceium-inc.json",
    "year_founded": 2023,
    "city": "Ottawa",
    "country": "CA",
    "linkedin_url": "https://www.linkedin.com/company/spaceium-inc",
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    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
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    "founders": [
      {
        "user_id": 985204,
        "full_name": "Ashi Dissanayake",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder & CEO @ Spaceium (S24) \nI love space and grew up wanting to be an astronaut one day. I co-founded Spaceium to build space infrastructure for a better new space economy.  \nI specialize in orbital mechanics and rocket propulsion systems. Previously, I worked on Aerodynamic models for NASA, built models for interplanetary transfers for an unmanned return mission to an asteroid in real time, and built rocket engines, payload structures, and recovery systems. ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/ashi-dissanayake",
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      {
        "user_id": 1009478,
        "full_name": "Reza Fetanat",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder & CTO @ Spaceium (S24).\nBelieve in developing in-space infrastructure to sustainably explore space and find a better place to call home, like the first caveman stepping out of their cave. Help humanity become a multiplanetary species.\nI led a rocket program at university. We successfully launched 3 rockets and became fastest growing team. \nFully developed 4 rocket engines and built a propulsion stability model. \nBuilt many robots including rocket tracker for recovery.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/rezafetanat",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e7e9c6e7386b210ae285efac855201ec036fdbcf.jpg"
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    "jobs": [
      {
        "id": 92025,
        "title": "Embedded Software Engineer – Canada",
        "url": "https://www.ycombinator.com/companies/spaceium-inc/jobs/kq3uAHj-embedded-software-engineer-canada",
        "location": "Ottawa, ON, CA / Ottawa, Ontario, CA",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Embedded systems",
        "salary_range": "$75K - $110K CAD",
        "equity_range": "0.10% - 0.50%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
          "C",
          "C++"
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    ],
    "news": [
      {
        "title": "Y Combinator grad Spaceium raises oversubscribed $6.3M for space re-fueling | TechCrunch",
        "url": "https://techcrunch.com/2025/01/23/space-re-fueling-startup-spacium-raises-6-3-million/",
        "date": "Jan 23, 2025"
      },
      {
        "title": "Spaceium Partners Space Machines for Space Cryogenic Refuelling",
        "url": "https://spacewatch.global/2024/01/spaceium-partners-space-machines-for-space-cryogenic-refuelling/",
        "date": "Jan 16, 2024"
      },
      {
        "title": "Spaceium and The Exploration Company Partner for In-Space Servicing",
        "url": "https://www.google.com/search?client=safari&rls=en&q=spaceium+and+exploration+company&ie=UTF-8&oe=UTF-8",
        "date": "Sep 13, 2023"
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    "launches": [
      {
        "id": 81561,
        "title": "🚀 Spaceium: Automated space stations that refuel and repair spacecraft in orbit",
        "tagline": "Enabling deep space exploration through unmanned service stations.",
        "body": "**TL;DR:** **Spaceium is building unmanned servicing stations in space to improve mission efficiency. Our stations will offer proprietary cryogenic fuel storage and transfer technology, enabling in-space refueling and providing robotic repair solutions, a capability that sets us apart. We aim to launch servicing stations in Low Earth Orbit in 2025 and expand to Geostationary Orbit, the Moon, and Mars by 2030.**\n\n\"Helping space explorers go \"where no man has gone before\" - Captain James T. Kirk :)\n\n**_ _** \n\nHi, everyone. We are [Ashi Dissanayake](https://linkedin.com/in/ashi-dissanayake) and [Reza Fetanat](https://linkedin.com/in/rezafetanat), the team behind [Spaceium](https://spaceium.com/).\n\n![uploaded image](/media/?type=post&id=81561&key=user_uploads/985204/76cbc58c-243e-410f-99ca-5eaa12bdeb79)\n\n**Here's a brief introduction:**\n\n**Ashi** is an Aerospace Engineer specializing in **Orbital Mechanics and rocket propulsion.** Ashi has worked on real-time simulation models for uncrewed return missions to asteroids and on **NASA-related aerodynamics projects**.\n\n**Reza** is also a space enthusiast and a Mechanical Engineer specializing in **Robotics, structures, and Cryogenics**. Reza has worked on revitalizing the **LR-101 engine, which was used on Atlas, Thor, and Delta launch vehicles.**\n\nWe first met while leading the University of Ottawa's rocketry team, where we built high-powered rockets to send scientific payloads to different altitudes. In our spare time, we enjoyed working together to build rockets in the backyard, sometimes leading to interesting experiences with backyard fires. 🔥\n\nThroughout our careers, we've noticed the constraints on space missions due to the lack of ability to refuel or repair spacecraft in orbit. The current solutions are costly, and a centralized location where spacecraft can refuel and repair is a massive necessity. We are on a mission to build the missing piece of space infrastructure that connects the space superhighway, Just like how service stations were built on Earth back in the day!\n\n# **The problem**\n\nAll spacecraft and space missions face a standard set of challenges. Fuel is a limited and difficult resource to transport. In the event of a significant issue, spacecraft cannot be repaired in space. These challenges have significantly hindered efficiency in current space missions and have been a substantial obstacle in humanity's quest to explore space further. \n\nUnlike a road trip where refueling is common and convenient, spacecraft face a unique challenge. Spacecraft cannot refuel along the way. Instead, they must carry all the fuel required for the mission from Earth. **An overwhelming 85% - 95% of the launch weight is fuel on a typical launch vehicle, with 80-90% burned off to reach orbit.** 🚀\n\nAs a result, spacecraft that transport loads in space (space tugs) can only perform, **on average, 25% as many missions as they're technically capable of due to the absence of refueling in space.** 🛰️\n\nFurthermore, even if a spacecraft wanted to carry additional fuel, it is not easy. Current spacecraft require cryogenic fuels such as liquid oxygen, methane, and liquid hydrogen, which must be stored and transferred at extremely low temperatures of -285°F. 🥶 Environmental factors in space, such as heat and radiation, increase the temperature of these fuels, causing them to boil off (vaporize).\n\nIn addition, **there is no current solution for spacecraft repair**. This means that today's spacecraft must operate flawlessly to maximize efficiency, which is only sometimes the case. For instance, Eutelsat Communications' satellites experienced power loss mid-mission with no option for repair, resulting in a **$30 million** revenue loss. **With Spaceium's multifunction robotic arm, the communication satellite could have been fixed.** 🛠️\n\n# **Solution**\n\n_Automated servicing stations in space 🌎🚀🛰️_\n\nOur primary solution aims to improve space missions' efficiency by addressing refueling challenges. **The developed cryogenic fuel storage and transfer technology is designed to store fuel without any boil-off for multiple years in space.** As a result, spacecraft can now refuel in space, carry more payload, and travel longer distances.\n\nTwo fundamental principles guide our proprietary Zero Boil Off (ZBO) technology. \n\n* Firstly, we prevent heat from entering the system through a unique tank design, insulation, and coating system. \n* Secondly, our innovative multistage closed-loop cooling system evenly removes the heat from the cryogenic fuel and transfers it to radiators, ensuring zero boil-off.\n\n \n\nOur cryogenic storage system is not only efficient but also highly scalable. Our current cooling system is **65% more efficient** than any other cooling system, and our scalable storage system can store up to 30 metric tons of fuel, making it adaptable to a wide range of space missions and requirements.\n\nAfter successfully addressing the challenge of transporting large amounts of space fuel, we turned our attention to developing technology for delivering this fuel to spacecraft in space. This is achieved through the use of a **multifunction robotic arm**. This advanced arm can securely dock with incoming spacecraft and initiate the fuel transfer. **The fluid system built within the arm allows the transfer of different fuel types through the robotic arm**. The built-in thermal system ensures that fuel is transferred to the customer's spacecraft at the correct temperature without any boil-off issues associated with cryogenic fuels in space.\n\nAdditionally, the same robotic arm is versatile enough to handle non-cryogenic fuels as well, providing a comprehensive solution for refueling spacecraft in space.\n\nIn addition to safe and efficient fuel transfer, the robotic arm is equipped with an interchangeable end effector designed for in-space repairs. In-space repairs are achieved through a fully automated robotic arm that can retrieve tools from a stored \"toolbox\" within the system. This innovative feature ensures that even in the event of a significant issue, spacecraft can be repaired in space, minimizing the risk of mission failure and maximizing mission efficiency.\n\nOur vision is to transform the space industry. Starting in Low Earth Orbit (LEO), our servicing infrastructure will progressively expand to encompass Geostationary Earth Orbit (GEO), the moon, and eventually Mars. We are on a mission to empower space missions to go further, explore more, and achieve what was once deemed impossible.\n\n**Who can benefit from our service stations in space** \n\n* **Launch vehicles** \n* **Orbital transfer vehicles** \n* **Space tugs** \n* **Moon landers** \n* **Satellites**\n\n# **Ask**\n\n* **Feedback, comments, or questions.** Reach out to us to learn how we can help with your missions.\n* **Warm Intros.** If you know or work with any launch providers, space companies, or satellite providers who could benefit from our service, please introduce us to them. 🛰 \n* **Follow.** Follow us on [LinkedIn](https://www.linkedin.com/company/spaceium-inc), [X](https://x.com/SpaceiumInc). Cool news coming soon\n* **Share.** Please share this post with your network so we can reach more space companies looking for refueling, repairs, and other services for their future missions. 👾\n\n# Email us [HERE](mailto:founders@spaceium.com).\n\nThank you!",
        "url": "https://www.ycombinator.com/launches/LDV-spaceium-automated-space-stations-that-refuel-and-repair-spacecraft-in-orbit",
        "votes": 30,
        "created_at": "2024-06-17T15:53:21.197Z"
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    "id": 29605,
    "name": "Educato",
    "slug": "educato",
    "former_names": [
      "ASTAR Learning",
      "Educato AI"
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    "website": "https://www.educato.com/",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "Educato builds exam prep platforms worldwide using AI.\r\n\r\nOnline exam prep has existed for decades, yet the big players all target the same top 10 exams in the US. The reality is that most exams around the world still have little to no quality online prep material, including many taken by hundreds of thousands of students each year. Educato uses AI to generate high-quality prep content for these exams. LLMs allow us to target the profitable fat middle in the distribution of exams, historically overlooked by education companies.",
    "one_liner": "Worldwide exam-prep platform",
    "team_size": 5,
    "industry": "Education",
    "subindustry": "Education",
    "launched_at": 1722269199,
    "tags": [
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      "Edtech",
      "AI"
    ],
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    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Active",
    "industries": [
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    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Fully Remote"
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    "stage": "Early",
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    "app_answers": null,
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      {
        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "**Educato builds exam prep platforms worldwide using AI.**Online exam prep has existed for decades, yet the big players all target the same top 10 exams in the US. The reality is that most exams around the world still have little to no quality online prep material, including many taken by hundreds of thousands of students each year. Educato uses AI to generate high-quality prep content for these exams."
      },
      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "The state of education is not a natural state of the world, but a set of technological tools to best teach students. Classrooms with teachers came about in the 17th century as Europe aimed to democratise education. Exams are tools that aim find the correlation between your score and how good you'll be at a particular job, for example being a doctor or an engineer. Multiple-choice questions were invented in the early 20th century to allow objective grading at scale.AI advancements allow us to better educate and evaluate students.Right now, most exams are multiple-choice, but , we expect to see more sophisticated grading systems using AI, including more essays and interviews. For instance, testing future doctors will still require knowledge-based exams, but we’ll also need to assess qualities like empathy and decision making. We see Educato as a leader in not only providing solid prep for current exams but also adapting to these future, AI-enhanced evaluations."
      }
    ],
    "url": "https://www.ycombinator.com/companies/educato",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/educato.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/educato-ai/",
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      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
    },
    "founders": [
      {
        "user_id": 1752038,
        "full_name": "Codrut Lemeni",
        "title": "Founder/CEO",
        "founder_bio": "Known for a very difficult name to pronounce - (\"Code\" + \"Roots).\n",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/codrut-l-328331134",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/dce7301f93f9aea32788fd4c712d58cabdfeef38.jpg"
      },
      {
        "user_id": 1758638,
        "full_name": "Felix Gabler",
        "title": "Founder/CTO",
        "founder_bio": "Felix is the co-founder and CTO of Educato AI, building AI-powered tools to transform exam prep. Previously, he was CTO at Sagacity, creating generative AI simulations, and founded OurFlat, a cross-platform app with 100,000+ downloads. Felix holds an M.Sc. in Machine Learning from Tübingen and UC San Diego.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/felix-gabler",
        "x_url": "https://x.com/FelixGabler",
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    "jobs": [
      {
        "id": 105977,
        "title": "Go‑to‑Market (GTM) Manager - Spain",
        "url": "https://www.ycombinator.com/companies/educato/jobs/abPg7gY-go-to-market-gtm-manager-spain",
        "location": "ES / Remote (ES)",
        "type": "Contract",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$15K - $30K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 106242,
        "title": "Entry-Level Marketing Role - Spain",
        "url": "https://www.ycombinator.com/companies/educato/jobs/xjeHPJZ-entry-level-marketing-role-spain",
        "location": "ES / Remote (ES)",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$23.4K - $46.8K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 106313,
        "title": "Go‑to‑Market (GTM) Manager - Italy 🇮🇹",
        "url": "https://www.ycombinator.com/companies/educato/jobs/tt3SNdo-go-to-market-gtm-manager-italy",
        "location": "IT / Remote (IT)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$35K - $60K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 106415,
        "title": "Entry-Level Marketing Role - Italy",
        "url": "https://www.ycombinator.com/companies/educato/jobs/cMRRcJe-entry-level-marketing-role-italy",
        "location": "IT / Remote (IT)",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$24.8K - $49.6K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 106416,
        "title": "Entry-Level Marketing Role - Germany",
        "url": "https://www.ycombinator.com/companies/educato/jobs/0jLS10x-entry-level-marketing-role-germany",
        "location": "DE / Remote (DE)",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$38.4K - $76.8K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 106417,
        "title": "Entry-Level Marketing Role - UK",
        "url": "https://www.ycombinator.com/companies/educato/jobs/ceQh2y9-entry-level-marketing-role-uk",
        "location": "GB / Remote (GB)",
        "type": "Full-time",
        "role": "Marketing",
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        "salary_range": "$32K - $64K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 106418,
        "title": "Entry-Level Marketing Role - Netherlands",
        "url": "https://www.ycombinator.com/companies/educato/jobs/iHhTRJB-entry-level-marketing-role-netherlands",
        "location": "NL / Remote (NL)",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$36K - $72K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 106419,
        "title": "Entry-Level Marketing Role - France",
        "url": "https://www.ycombinator.com/companies/educato/jobs/DvXCNqO-entry-level-marketing-role-france",
        "location": "FR / Remote (FR)",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$30.4K - $60.8K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 106420,
        "title": "Entry-Level Marketing Role - Australia",
        "url": "https://www.ycombinator.com/companies/educato/jobs/JvjUftW-entry-level-marketing-role-australia",
        "location": "AU / Remote (AU)",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$38.4K - $76.8K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 106421,
        "title": "Entry-Level Marketing Role - South Africa",
        "url": "https://www.ycombinator.com/companies/educato/jobs/pWnbrA5-entry-level-marketing-role-south-africa",
        "location": "ZA / Remote (ZA)",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$11.2K - $22.4K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 106422,
        "title": "Entry-Level Marketing Role - Canada",
        "url": "https://www.ycombinator.com/companies/educato/jobs/13RyE9z-entry-level-marketing-role-canada",
        "location": "CA / Remote (CA)",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$28K - $56K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 106423,
        "title": "Entry-Level Marketing Role - Austria",
        "url": "https://www.ycombinator.com/companies/educato/jobs/k8p8pbU-entry-level-marketing-role-austria",
        "location": "AT / Remote (AT)",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$34.4K - $68.8K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 106424,
        "title": "Entry-Level Marketing Role - Switzerland",
        "url": "https://www.ycombinator.com/companies/educato/jobs/QWfiXPz-entry-level-marketing-role-switzerland",
        "location": "CH / Remote (CH)",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$58.4K - $117K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 106425,
        "title": "Entry-Level Marketing Role - Belgium",
        "url": "https://www.ycombinator.com/companies/educato/jobs/y6h5RHp-entry-level-marketing-role-belgium",
        "location": "BE / Remote (BE)",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$33.6K - $67.2K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 106426,
        "title": "Entry-Level Marketing Role - Portugal",
        "url": "https://www.ycombinator.com/companies/educato/jobs/iyVyGXm-entry-level-marketing-role-portugal",
        "location": "PT / Remote (PT)",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$17.6K - $35.2K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 106427,
        "title": "Entry-Level Marketing Role - Poland",
        "url": "https://www.ycombinator.com/companies/educato/jobs/TGcymHC-entry-level-marketing-role-poland",
        "location": "PL / Remote (PL)",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$17.6K - $35.2K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 106428,
        "title": "Entry-Level Marketing Role - Romania",
        "url": "https://www.ycombinator.com/companies/educato/jobs/TiTuiK0-entry-level-marketing-role-romania",
        "location": "RO / Remote (RO)",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$13.6K - $27.2K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 106429,
        "title": "Entry-Level Marketing Role - Japan",
        "url": "https://www.ycombinator.com/companies/educato/jobs/VffQ9I9-entry-level-marketing-role-japan",
        "location": "JP / Remote (JP)",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$23.2K - $46.4K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 106430,
        "title": "Entry-Level Marketing Role - South Korea",
        "url": "https://www.ycombinator.com/companies/educato/jobs/mDVgfO4-entry-level-marketing-role-south-korea",
        "location": "KR / Remote (KR)",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$21.6K - $43.2K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 106431,
        "title": "Entry-Level Marketing Role - Singapore",
        "url": "https://www.ycombinator.com/companies/educato/jobs/9Co8kEx-entry-level-marketing-role-singapore",
        "location": "SG / Remote (SG)",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$31.2K - $62.4K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 106432,
        "title": "Entry-Level Marketing Role - Brazil",
        "url": "https://www.ycombinator.com/companies/educato/jobs/mJnAtIW-entry-level-marketing-role-brazil",
        "location": "BR / Remote (BR)",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$8.8K - $17.6K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 106433,
        "title": "Entry-Level Marketing Role - Mexico",
        "url": "https://www.ycombinator.com/companies/educato/jobs/uTLF3H6-entry-level-marketing-role-mexico",
        "location": "MX / Remote (MX)",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$9.6K - $19.2K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 106434,
        "title": "Entry-Level Marketing Role - Colombia",
        "url": "https://www.ycombinator.com/companies/educato/jobs/ijhIjnu-entry-level-marketing-role-colombia",
        "location": "CO / Remote (CO)",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$7.2K - $14.4K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 106435,
        "title": "Entry-Level Marketing Role - Argentina",
        "url": "https://www.ycombinator.com/companies/educato/jobs/pAoSsE6-entry-level-marketing-role-argentina",
        "location": "AR / Remote (AR)",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$8K - $16K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 106483,
        "title": "Entry-Level Marketing Role - Philippines",
        "url": "https://www.ycombinator.com/companies/educato/jobs/CdgubKj-entry-level-marketing-role-philippines",
        "location": "PH / Remote (PH)",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$3.12K - $6.12K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 107033,
        "title": "UGC Campaign Manager - Entry level marketing role (experience as a UGC highly desierable)",
        "url": "https://www.ycombinator.com/companies/educato/jobs/wx7a1VE-ugc-campaign-manager-entry-level-marketing-role-experience-as-a-ugc-highly-desierable",
        "location": "Remote",
        "type": "Contract",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$10K - $45K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 108690,
        "title": "US UGC Campaign Manager - (Canvas UGC Experience Highly Desirable)",
        "url": "https://www.ycombinator.com/companies/educato/jobs/kLPWhjO-us-ugc-campaign-manager-canvas-ugc-experience-highly-desirable",
        "location": "US / Remote (US)",
        "type": "Contract",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$36K - $72K",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 110537,
        "title": "Software Engineer - Product & AI",
        "url": "https://www.ycombinator.com/companies/educato/jobs/wF2ZfSr-software-engineer-product-ai",
        "location": "Bucharest, Bucharest, RO",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$60K - $80K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
        "skills": [
          "PostgreSQL",
          "TypeScript",
          "Vue.js"
        ]
      },
      {
        "id": 110538,
        "title": "GTM Generalist - Growth & Market Expansion",
        "url": "https://www.ycombinator.com/companies/educato/jobs/BCsLoYh-gtm-generalist-growth-market-expansion",
        "location": "Bucharest, Bucharest, RO",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$30K - $60K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 82200,
        "title": "📚✨ Educato - Duolingo for every exam",
        "tagline": "Exam prep for underserved students across the globe.",
        "body": "**TL;DR:** Educato uses AI to create high-quality exam prep for underserved students worldwide. With 10 exams live and 5,000+ students across Europe, Asia, and South America already on board, we’re expanding fast. Reach out to build with us: [founders@educato.com.](mailto:founders@educato.ai)\n\nHi everyone, we’re Codrut, Felix, and Pierre-Louis and we’re building Educato.\n\n![uploaded image](/media/?type=post&id=82200&key=user_uploads/1758638/2deb0ecc-e65a-4f7a-bd90-678008c4f379)\n\n### **❌ The Problem**\n\n**Most exams don’t have any high-quality online prep material.**\n\nExams and certifications aren’t going anywhere, especially in an AI world where anyone can fake any homework assignment. Online exam prep has existed for decades, yet the big players all target the same top 10 exams in the US.\n\nThe reality is that many exams around the world—including some taken by hundreds of thousands of students each year—still lack high-quality online prep materials. As a result, students often turn to expensive private tutoring or mediocre resources, leading to poor learning outcomes.\n\n### **🔧 Our Solution**\n\nThe Educato platform allows us to quickly build high-quality adaptive learning experiences, **for any exam and geography**. We already offer prep for a diverse set of 10 exams across Europe, Asia, and South America, and are adding more every week.\n\n**Educato platform features**:\n\n* **High-quality content using AI**: Our models generate realistic exam questions from textbooks or past exams, with human-in-the-loop validation, linked to the original content\n* **Unique student experience**: Cutting edge features including personalized learning paths, AI essay grading with individualized feedback, and live simulation tests with peers\n* **Detailed analytics**: Leverage interactive tools and adaptive assessments to enhance student engagement, improve learning outcomes, and identify areas for improvements\n\nSee the platform in action here:\n\n![uploaded image](/media/?type=post&id=82200&key=user_uploads/1758638/71e8fdac-7838-4074-b243-4f98267c56da)\n\n### **💙** **Our Progress**\n\nEducato already supports 5000+ students, preparing them for exams such as:\n\n* 🇷🇴 Romanian Medical Residency\n* 🇮🇳 Indian Civil Service Exam\n* 🇵🇪 Peruvian San Marcos University Exam\n* 🇦🇷 Argentinian Medical Unico\n* \\+ 6 more\n\nWe’re currently adding 10 more exams and are looking for partners to expand our offering further. Calling all entrepreneurial educators to help us transform education and improve student outcomes - please reach us at [founders@educato.com](mailto:founders@educato.com).",
        "url": "https://www.ycombinator.com/launches/LNo-educato-duolingo-for-every-exam",
        "votes": 95,
        "created_at": "2024-08-18T04:47:03.000Z"
      }
    ]
  },
  {
    "id": 29607,
    "name": "ProhostAI",
    "slug": "prohostai",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/069321145273b85ba7d87787840c61562c041b8f.png",
    "website": "https://www.prohost.ai/",
    "all_locations": "New York City, NY, USA",
    "long_description": "ProhostAI is building an AI Property Manager for short-term rental hosts on Airbnb and other platforms. Our team consists of an ex-Airbnb Staff Data Scientist and Dropbox Sr Software Engineer who are also Superhosts with 9 properties worth $15M making $1.5M/yr.",
    "one_liner": "AI Property Manager for Airbnb & Short-Term Rental Hosts",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1722581917,
    "tags": [
      "SaaS",
      "B2B",
      "Travel",
      "AI",
      "AI Assistant"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/prohostai",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/prohostai.json",
    "year_founded": 2024,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/prohostai",
    "x_url": "https://twitter.com/prohostai",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/prohostai",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/069321145273b85ba7d87787840c61562c041b8f.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Garry Tan",
      "url": "https://www.ycombinator.com/people/garry-tan"
    },
    "founders": [
      {
        "user_id": 1847372,
        "full_name": "Bill Ulammandakh",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder and CEO at ProhostAI. Previously Staff Data Scientist at Airbnb, Etsy, Thumbtack and Wayfair. Harvard undergrad.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/bulam/",
        "x_url": "https://twitter.com/bilguunu",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c5b1132f4d19cd96295cfd328da8dbc1171b3751.jpg"
      },
      {
        "user_id": 1847465,
        "full_name": "Andrew Lawson",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder and CTO at ProhostAI. Previously Software Engineer at Dropbox, JWPlayer, and others.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/aeriklawson/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/878fe6c85fddbb90bc9ac6505c46283c5aaca110.jpg"
      }
    ],
    "jobs": [
      {
        "id": 68411,
        "title": "Founding Engineer, Full Stack",
        "url": "https://www.ycombinator.com/companies/prohostai/jobs/E50Yl4C-founding-engineer-full-stack",
        "location": "San Francisco, CA, US / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$100K - $180K",
        "equity_range": "0.20% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 101922,
        "title": "ProhostAI 🏨 AI Employees for Property Management and Hospitality",
        "tagline": "Meet ProhostAI — AI employees that answer guests, take calls, coordinate cleanings, create tasks, build guidebooks, and run hospitality operations from one AI-native OS.",
        "body": "Hi YC! I’m Bill from the ProhostAI team.\n\n**TL;DR:** We're launching AI employees for property management and hospitality. They answer guests, take calls, coordinate cleanings, create tasks, build guidebooks, drive bookings, and help run operations — from one AI-native OS. 8,000+ properties on the platform today. Founded by a team from Airbnb, Dropbox, and Guesty (Harvard + Yale) — and we're property managers ourselves, running a $12M AUM portfolio. Backed by Y Combinator, Pear VC, and other investors. [Try it →](https://prohost.ai/ai-employees)\n\n![uploaded image](/media/?type=post&id=101922&key=user_uploads/1847372/9e218d0a-16c5-4285-8de3-e6374d1ad16b)\n\n## The problem\n\nProperty management and hospitality teams still run operations through a tangled stack: inboxes, PMS tools, spreadsheets, phone calls, manual coordination, and a dozen point solutions that don't talk to each other.\n\nThe \"AI\" in this space today is mostly chatbots that answer guest messages. That's a feature, not a workforce.\n\n## What we built\n\nProhostAI's AI employees do real operational work — alongside the humans running the business. They can:\n\n* **Answer guests** across Airbnb, Vrbo, [Booking.com](http://Booking.com), SMS, WhatsApp, email — omnichannel and context-aware\n* **Take and place phone calls**\n* **Create and assign tasks** to teammates\n* **Coordinate cleaners** and schedule turnovers\n* **Power guidebooks** for properties and businesses\n* **Drive bookings and upsells**\n* **Keep human teammates aligned** across operations\n* **Run AI workflows** across the operational lifecycle\n\nOne AI-native OS — built so human teams and AI employees can work side by side.\n\n## The AI employees available for hire:\n\nOur AI employees are available across different professions:\n\n* **Gabby** — Guest Experience Manager\n* **Claudia** — Cleaning Manager\n* **Miles** — Maintenance Manager\n* **Rex** — Revenue Optimizer and PriceLabs auditor\n* **Owen** — Owner Relations Manager\n* **Regina** — Reputation Manager\n* **Grace** — Guidebook Manager\n* **Finn** — Finance Manager\n* **Quinn** — Quality Inspector\n* **Gina** — General Manager\n* **Vera** — Virtual Assistant\n\nHire the ones you need; add more as you scale.\n\n## MCP — bring your own agents\n\nWe ship an MCP (Model Context Protocol) server, so other AI agents — Claude, ChatGPT, custom in-house agents — can collaborate directly with the ProhostAI AI employees. If you've already built AI workflows, plug them in instead of starting over.\n\n## Why now\n\nThe next generation of hospitality companies will be run by human teams working side by side with AI employees. We're starting with short-term rentals because the work is high-volume, repetitive, and deeply operational — exactly where AI teammates make an immediate difference.\n\nFrom there: vacation rental managers, boutique hotels, broader hospitality and property operations.\n\n## Traction\n\nProhostAI now supports **8,000+ properties on the platform**, including paid customers and operators using our feature-rich free plan. Founded by a team from **Airbnb, Dropbox, and Guesty** (Harvard + Yale alumni) — and we're property managers ourselves, running a **$12M AUM short-term rental portfolio**. We use ProhostAI every day. Backed by **Y Combinator, Pear VC, and other investors**.\n\n## Our backstory\n\nWe've been deep in this space and have watched operators copy-paste the same messages thousands of times, miss calls overnight, lose cleanings to chaos, and string together five tools to do what one OS should handle. We built ProhostAI to make AI employees the new labor layer for hospitality — not another dashboard, not another inbox.\n\n## Our ask\n\n* **If you run STR, vacation rentals, or hospitality ops** — connect Airbnb or your PMS and your first AI employee can start helping in minutes: [prohost.ai/ai-employees](https://prohost.ai/ai-employees)\n* **If you know property managers, hosts, or hospitality teams** who'd benefit — please share or intro\n* **If you want to chat** — DM me on Bookface or email [bill@prohost.ai](mailto:bill@prohost.ai)\n* **For press/media:** [press kit (logos, screenshots, GIFs)](https://drive.google.com/drive/folders/1kQEauMZYT4H-fXADYS9bNvgHQ1AjBN7q?usp=sharing)\n\nThanks YC 🚀\n\n— Bill &amp; the ProhostAI team",
        "url": "https://www.ycombinator.com/launches/QVu-prohostai-ai-employees-for-property-management-and-hospitality",
        "votes": 3,
        "created_at": "2026-05-25T14:48:51.997Z"
      },
      {
        "id": 83739,
        "title": "ProhostAI - AI property manager for Airbnb hosts",
        "tagline": "AI property manager assistant for hosts on Airbnb and other booking platforms.",
        "body": "[**ProhostAI**](https://www.prohost.ai/) **is an AI property manager assistant for hosts on Airbnb and other booking platforms.**  We run 9 Airbnb properties as Superhosts (4.99+ rating) worth $15M, and our AI automations have already cut our own costs by 30% and automated 70% of guest communications.\n\n**Our key features:**\n\n* **AI for Guest Communications:** AI agent drafts responses to every guest message\n* **AI for Maintenance Ticketing & Cleaning Management**\n* **AI for Revenue Generation** with automated guest upsells\n\nAll of this with a first class mobile app, because most hosts manage their properties from their phones!\n\n![uploaded image](/media/?type=post&id=83739&key=user_uploads/1847372/efb9d4f7-c541-47e8-9c1f-505cdfff39c1)\n\n### Our Founding Team\n\n[**Bill**](https://www.linkedin.com/in/bulam/)\n\n* **Bill was a Staff Data Scientist, Algorithms at Airbnb for 6+ years, building AI & ML products** \n  * 3 AI patents for products implemented at Airbnb that drove hundreds of millions in revenue\n* 9+ years total in data science (Etsy, Wayfair, Thumbtack)\n* Undergrad from Harvard\n\n[**Andrew**](https://www.linkedin.com/in/aeriklawson/)\n\n* **Andrew was a Sr Software Engineer at Dropbox for 6+ years,** working on their API Platform handling millions of requests per second \n* 9+ years as a software engineer\n\nWe are Airbnb hosts with 9 properties, 4.99+ ratings across 1000+ guest reviews, and $1.5M/yr revenue. We've been hosts for 5+ years.\n\n### Why we are building ProhostAI\n\n* **70% of things a host has to do can be automated with no intervention today**\n  * Guest communications, cleaning coordination & communication, and maintenance ticket management are repetitive and simple tasks ripe for automation with LLMs and AI agents with a high-quality mobile-first experience.\n* **80%+ of hosts use no SaaS tools yet** but are ready to professionalize their operations with better tools.\n* **Airbnb hosts are digitally native, working from their mobile phones all the time**, and highly likely to adopt new technologies to improve their operations.\n* **SaaS for hosts is a $5B market** with 10 million short-term rental listings globally!\n\n![uploaded image](/media/?type=post&id=83739&key=user_uploads/1847372/219c2d72-5762-4e81-981e-1316c2390e94)\n\n## **🚀Asks**\n\n1. **If you are a host, join our waitlist at** [**prohost.ai**](https://www.prohost.ai) or shoot me an email at [bill@prohost.ai](mailto:bill@prohost.ai)!\n2. **Share our website with others hosts** and have them join our waitlist!\n3. **Follow us on **[**LinkedIn**](https://www.linkedin.com/company/prohostai/)** and **[**X**](https://x.com/prohostAI)**.**\n4. **If you are using Hostaway or Guesty for Pros to manage your properties,** we can get you set up right away! Sign up for a free trial [**here**](https://app.prohost.ai/register) or [**book a demo**](https://calendly.com/bill-prohost/prohostai-demo) ",
        "url": "https://www.ycombinator.com/launches/Lmd-prohostai-ai-property-manager-for-airbnb-hosts",
        "votes": 35,
        "created_at": "2024-09-04T15:36:31.502Z"
      }
    ]
  },
  {
    "id": 29610,
    "name": "Hamming AI",
    "slug": "hamming-ai",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/63f48bd5017efb50e1fd3bcb1bd32b4b6a0147e3.png",
    "website": "https://hamming.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Hamming AI is the complete QA platform for voice agents from pre-deployment testing to production monitoring. \r\n\r\n4M+ calls tested. 10K+ agents monitored. Trusted by public companies and the fastest-growing voice AI teams.\r\n\r\nConnect your agent, auto-generate test scenarios, and run thousands of test calls in minutes. In production, monitor every call with 50+ built-in metrics and get alerts before customers notice.\r\n\r\nSumanyu (CEO) was previously Head of Data at Citizen and Senior Staff Data Scientist at Tesla, where he grew AI-powered sales to hundreds of millions in revenue per year. \r\n\r\nOur engineering team ranks #1 on Weave (https://workweave.ai) across 10,000+ engineers and 100+ teams.",
    "one_liner": "Complete QA platform for voice agents",
    "team_size": 10,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1715007777,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Active",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/hamming-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/hamming-ai.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/hamming-ai/",
    "x_url": "https://twitter.com/HammingAI",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/hamming-ai",
    "github_url": "https://github.com/HammingHQ/",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/63f48bd5017efb50e1fd3bcb1bd32b4b6a0147e3.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
    },
    "founders": [
      {
        "user_id": 497858,
        "full_name": "Sumanyu Sharma",
        "title": "Founder/CEO",
        "founder_bio": "Sumanyu is the founder & CEO at Hamming AI. Hamming AI is a complete QA platform for voice agents from pre-deployment testing to production monitoring.\n\nPreviously helped Citizen grow its MAU by 4X and helped bootstrap revenue from 0 to millions in ARR in under 6 months.\n\nBefore that, grew an AI-powered sales program @ Tesla to 100s of millions in revenue/year as a Senior Staff Data Scientist.\n\nPublished a first-author paper in AI during undergrad. BASc from UWaterloo w/ dean's list.\n\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/sumanyusharma",
        "x_url": "https://twitter.com/sumanyu_sharma",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/de00b2b7b6033630137d2dd223d65b2ea927ea6c.jpg"
      }
    ],
    "jobs": [
      {
        "id": 69910,
        "title": "Product Engineer",
        "url": "https://www.ycombinator.com/companies/hamming-ai/jobs/XTCQPuO-product-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$140K - $200K",
        "equity_range": "0.05% - 0.20%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Node.js",
          "React",
          "TypeScript",
          "Next.js"
        ]
      },
      {
        "id": 69911,
        "title": "Backend / Infra Engineer",
        "url": "https://www.ycombinator.com/companies/hamming-ai/jobs/gxWsyHb-backend-infra-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$140K - $200K",
        "equity_range": "0.05% - 0.20%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Node.js",
          "Python",
          "Distributed Systems"
        ]
      }
    ],
    "news": [
      {
        "title": "Hamming AI Raises $3.8M Seed Round | Hamming AI Blog",
        "url": "https://hamming.ai/blog/hamming-ai-seed-funding-to-make-voice-agents-more-reliable",
        "date": "Dec 18, 2024"
      },
      {
        "title": "Hamming.ai raises $3.8 million for AI voice agent testing platform",
        "url": "https://www.axios.com/pro/media-deals/2024/12/18/hamming-ai-voice-agent-testing",
        "date": "Dec 18, 2024"
      }
    ],
    "launches": [
      {
        "id": 82717,
        "title": "🕵️ Hamming - Automated AI voice agent testing",
        "tagline": "AI voice agent reliability platform: AI voice agent testing, prompt tuning, evals, call analytics",
        "body": "👋 [@Sumanyu Sharma](https://www.linkedin.com/in/sumanyusharma) and [@Marius Buleandra](https://www.linkedin.com/in/mariusbuleandra) from [@Hamming AI](https://www.ycombinator.com/companies/hamming-ai)\n\n**TLDR:** Are you testing your voice agents by hand? We're launching [Automated AI voice agent testing](https://app.hamming.ai/voice-demo) to automatically test your voice agents and flag quality issues in development and production.\n\n🌟 [Click here to try our free Voice Simulations Demo](https://app.hamming.ai/voice-demo) 🌟\n\n## Problem: Making voice agents reliable feels like whack-a-mole\n\nHere's the workflow most teams follow:\n\n1. **Call** your voice agent by hand and find bugs. Slow and ad-hoc.\n2. **Tweak** your voice agents by adding new tools and changing the prompts or models to fix the bugs.\n3. **Call again** to see if the changes worked.\n4. **Detect** regressions when users complain of things breaking in production.\n5. **Repeat** steps 1 to 4 until you get tired.\n\n**Calling your voice agent & finding bugs** is the slowest & most painful part of the feedback loop. This is what we automate.\n\n## Our take: Character AI for voice testing\n\nWe create hundreds of characters that simulate how **real users interact with your voice agents** in real life. For every call, we measure whether our character successfully accomplishes the task (e.g., ordering a vegan burger, canceling next week’s appointment, etc.).\n\nOur automated AI voice agent testing approach is 100x faster, cheaper, and more thorough than manual testing.\n\n![uploaded image](/media/?type=post&id=82717&key=user_uploads/497858/87b2fbc7-5137-46e5-a948-80b440eba8a6)\n\n### Flag errors & Tag calls in production\n\nYou can log all call transcripts and traces within Hamming. We actively **tag your production calls** in real-time, and flag cases the team needs to double-click on. This helps engineering teams quickly prioritize cases they need to fix.\n\n**Example tags**: human detects that the bot is an AI, a follow-up call is needed, the user requested an urgent appointment, etc.\n\n![uploaded image](/media/?type=post&id=82717&key=user_uploads/497858/7bf685f0-5348-4c0e-863f-90e3bd4e3f9f)\n\n### Test new changes quickly\n\n**Simulation-driven development**\n\nLet’s imagine you’re building an agent called ‘YC Founder’; we can spin up 100s of VC agents who will try to distract you. You can edit the prompts or models and re-run the simulation to make sure you made progress.\n\nWant to see how you would handle a persistent investor? Try our ‘VC trying to distract founders’ free [demo here](https://app.hamming.ai/voice-demo).\n\n![uploaded image](/media/?type=post&id=82717&key=user_uploads/497858/a39b0c3e-107d-4808-9096-30dbae4ad3f4)\n\n**Easily create new characters from call transcripts**\n\nWhen customers complain about a bad call, you can locate the call transcript and create a new character in one click. Make a change to your prompt, and then run the simulations to ensure you addressed the bad call.\n\n![uploaded image](/media/?type=post&id=82717&key=user_uploads/497858/cc3e6632-f482-47f5-aee6-2511b34d441d)\n\n## Meet the team\n\n[Sumanyu](https://www.linkedin.com/in/sumanyusharma/) previously helped Citizen (safety app; backed by Founders Fund, Sequoia, 8VC) grow its users by 4X and grew an AI-powered sales program to $100s of millions in revenue/year at Tesla.\n\n[Marius](https://www.linkedin.com/in/mariusbuleandra/) previously ran data infrastructure @ Anduril, drove user growth at Citizen with Sumanyu and was a founding engineer @ Spell (MLOps startup acquired by Reddit).\n\n![uploaded image](/media/?type=post&id=82717&key=user_uploads/497858/92a125e1-9612-4c4f-bb2d-1ab88aa9b24a)\n\n# Summary\n\nWe previously launched [Prompt Optimizer](https://www.ycombinator.com/launches/L4V-hamming-let-ai-optimize-your-prompts-free-for-7-days) and [AI Experimentation Tools](https://www.ycombinator.com/launches/LHa-hamming-make-your-rag-ai-agents-reliable) to automate prompt engineering and make RAG pipelines more robust. In this launch, we show how you can test your voice agents quickly.\n\n![uploaded image](/media/?type=post&id=82717&key=user_uploads/497858/674bd4d5-4041-4466-821e-f62328e440c4)\n\n# Our offer\n\n**Personalized characters + 100 free calls.** Struggling to make your voice agents reliable? We’ll create personalized characters and call + stress test your system \\~100 times for free. Book time with us [here.](https://calendly.com/sumanyusharma/1-1-debug-session)\n\nQuestions? Email us [here](mailto:sumanyu@hamming.ai) or chat with us [here](https://calendly.com/sumanyusharma/30min).",
        "url": "https://www.ycombinator.com/launches/LW9-hamming-automated-ai-voice-agent-testing",
        "votes": 57,
        "created_at": "2024-08-05T01:45:12.663Z"
      },
      {
        "id": 81814,
        "title": "🚀 Hamming - Make your RAG & AI agents reliable",
        "tagline": "The only end-to-end AI development platform you need: prompt management, evals, observability",
        "body": "👋 [@Sumanyu Sharma](https://www.linkedin.com/in/sumanyusharma) and [@Marius Buleandra](https://www.linkedin.com/in/mariusbuleandra) from [@Hamming AI](https://www.ycombinator.com/companies/hamming-ai)\n\n**TLDR:** Are you struggling to make your RAG & AI agents reliable? We're launching our [AI Optimization Platform](https://app.hamming.ai) to help eng teams speed up iteration velocity, root-cause bad AI outputs, and prevent regressions.\n\n🌟 [Click here to try our AI Optimization Platform](https://app.hamming.ai) 🌟\n\n## Our thesis: Experimentation drives reliability\n\nPreviously, [Marius](https://www.linkedin.com/in/mariusbuleandra/) and I ran growth-focused eng and data teams at Tesla, Citizen, Spell & Anduril. We learned that running experiments is the best way to move a metric. More experiments = more growth.\n\nLast year, we shipped 10+ RAG & AI agents to production. We found the same pattern holds when building reliable AI products. More experiments = more reliability = more retention for your AI products.\n\n![uploaded image](/media/?type=post&id=81814&key=user_uploads/497858/96653f00-344f-46b7-92da-7530f0302ae0)\n\n## Problem: Making RAG and AI agents reliable feels like whack-a-mole\n\nHere's the workflow most teams follow:\n\n1. **Tweak** your RAG or AI agents by indexing new documents, adding new tools, changing the prompts, models or other business logic.\n2. **Eyeball** how well your changes improved a handful of examples you wanted to fix. Often ad-hoc and slow.\n3. **Ship** the changes if they worked.\n4. **Detect** regressions when users complain of things breaking in production.\n5. **Repeat** steps 1 to 4 until you get tired.\n\nSteps 2 and 4 are often the slowest & most painful parts of the feedback loop. This is what we tackle.\n\n## Our take: Use LLMs as judges to speed up iteration velocity\n\nWe use LLMs to score the outputs of other LLMs. This is the fastest way to speed up the feedback loop.\n\n![uploaded image](/media/?type=post&id=81814&key=user_uploads/497858/1e6dff78-03d8-4add-9a74-7382a9733147)\n\n![uploaded image](/media/?type=post&id=81814&key=user_uploads/497858/46cb1626-03be-4b9e-9218-c86aa4794b1f)\n\n### Flag errors in production before customers notice\n\nWe go beyond passive LLM / trace-level monitoring. We actively **score your production outputs** in real time and **flag cases** the team needs to double-click on. This helps eng teams quickly prioritize cases they need to fix.\n\n![uploaded image](/media/?type=post&id=81814&key=user_uploads/497858/69edba93-dfb5-448d-8215-c3f3cb81402b)\n\n### Test new changes quickly while developing and prevent regressions from reaching users\n\nWe make offline evaluations easy, so you can change your system and get feedback in minutes.\n\n**Eval-driven prompt iteration**\n\nRapidly iterate with new prompts and models in our prompt playground with first-class support for function-calling. Run evals so you know your changes are improving things.\n\n![uploaded image](/media/?type=post&id=81814&key=user_uploads/497858/89972e98-9709-47b1-b887-7c02a1af51a1)\n\n**Deploy prompt changes without code change**\n\nWe keep track of all prompt versions and update your prompts on the fly without needing a code change.\n\n![uploaded image](/media/?type=post&id=81814&key=user_uploads/497858/94c56689-bac3-4e05-bb13-22234edce861)\n\n**Easily create golden datasets**\n\nOffline evaluations are bottlenecked on a high-quality golden dataset of input/output pairs. We support converting production traces to dataset examples in one click.\n\n![uploaded image](/media/?type=post&id=81814&key=user_uploads/497858/4d849d21-b8e6-4beb-8617-215296de422a)\n\n**Diagnose between retrieval, reasoning or function-calling errors quickly**\n\nDifferentiating between retrieval, reasoning, and function-calling errors is time-consuming. We score each retrieved context on metrics like hallucination, recall, and precision to help you prioritize your eng efforts where it matters.\n\n![uploaded image](/media/?type=post&id=81814&key=user_uploads/497858/afb539a0-1a67-4050-8733-387b03a536e6)\n\n**Override AI scores**\n\nSometimes our AI scores disagree with your definition of \"good\". We make it easy to override our scores with your preferences. Our AI scorer learns from your feedback.\n\n![uploaded image](/media/?type=post&id=81814&key=user_uploads/497858/8227f0e2-e20d-4d2b-8ab6-aa413ec7efe6)\n\n## Meet the team\n\n[Sumanyu](https://www.linkedin.com/in/sumanyusharma/) previously helped Citizen (safety app; backed by Founders Fund, Sequoia, 8VC) grow its users by 4X and grew an AI-powered sales program to $100s of millions in revenue/year at Tesla.\n\n[Marius](https://www.linkedin.com/in/mariusbuleandra/) previously ran data infrastructure @ Anduril, drove user growth at Citizen with Sumanyu and was a founding engineer @ Spell (MLOps startup acquired by Reddit).\n\n![Sumanyu & Marius](https://bookface.ycombinator.com/media/?type=post&id=81814&key=user_uploads/497858/750619c5-790d-4ba7-a4a4-e60c8f520506)\n\n## Our offer\n\nWe previously launched [Prompt Optimizer](https://www.ycombinator.com/launches/L4V-hamming-let-ai-optimize-your-prompts-free-for-7-days) on launch YC, which saves 80% of manual prompt engineering effort. In this launch, we show how teams use Hamming to build reliable RAG and AI agents.\n\n![uploaded image](/media/?type=post&id=81814&key=user_uploads/497858/234292dd-27c0-4073-8082-7fc0340f1221)\n\n**Free 1:1 Debug session.** Struggling with making your RAG/agents reliable? We're offering a complementary 1:1 RAG/agent debugging session. Book time with us [here.](https://calendly.com/sumanyusharma/1-1-debug-session)\n\nQuestions? Email us [here](mailto:sumanyu@hamming.ai) or chat with us [here](https://calendly.com/sumanyusharma/30min).",
        "url": "https://www.ycombinator.com/launches/LHa-hamming-make-your-rag-ai-agents-reliable",
        "votes": 118,
        "created_at": "2024-06-28T01:28:56.750Z"
      },
      {
        "id": 81003,
        "title": "🚀 Hamming - Let AI optimize your prompts (free for 7 days)",
        "tagline": "Automate 90% of manual prompt engineering using our self-improving prompt optimizer.",
        "body": "👋 Sumanyu and Marius from [Hamming AI](https://www.ycombinator.com/companies/hamming-ai); we're part of the upcoming S24 batch!\n\n**TLDR:** Are you spending a lot of time optimizing prompts by hand? We're launching our [Prompt Optimizer](https://app.hamming.ai/prompt-optimizer) (new feature in beta) to automate prompt engineering. It's completely free for 7 days!\n\n🌟 [Click here to try our Prompt Optimizer](https://app.hamming.ai/prompt-optimizer) 🌟\n\n## Convert your task into an optimized prompt in minutes\n\n![uploaded image](/media/?type=post&id=81003&key=user_uploads/497858/ea14e339-7092-4166-b6c5-53b667cd5b5b)\n\n**Thought experiment:** What if we used LLMs to optimize prompts for other LLMs?\n\n![Meme](/media/?type=post&id=81003&key=user_uploads/497858/d24f5e83-d01f-433c-96fb-35b209c44b78)\n\n## Problem: Writing prompts by hand is tedious\n\nWriting high-quality and performant prompts by hand requires enormous trial and error. Here's the usual workflow:\n\n1. **Write** an initial prompt.\n2. **Measure** how well it performs on a few examples in a prompt playground. Bonus points if you use an experimentation platform like [Hamming](https://hamming.ai) to automate this flow.\n3. **Tweak** the prompt by hand to handle cases where it's failing.\n4. **Repeat** steps 2 & 3 until you get tired of wordsmithing.\n\nWhat's worse, new model versions often break previously working prompts. Or, say you want to switch from OpenAI GPT3.5 Turbo to Llama 3. You need to re-optimize your prompts by hand. ❌\n\n## Our take: use LLMs to write optimized prompts\n\nDescribe your task, add examples, or let us synthetically create some, and click run.\n\n![Prompt Optimizer Demo](https://hamming.ai/images/prompt-optimizer-demo-2-trimmed.gif)\n\nBehind the scenes, we use LLMs to generate different prompt variants. Our LLM judge measures how well a particular prompt solves the task. We capture outlier examples and use them to improve the few-shot examples in the prompt. We run several \"trials\" to refine the prompts iteratively.\n\n**Benefits:**\n\n* No more tedious word-smithing.\n* No more scoring outputs by hand.\n* No need to remember to tip your LLM or ask it to think carefully step-by-step.\n\n## Meet the team\n\n[Sumanyu](https://www.linkedin.com/in/sumanyusharma/) previously helped Citizen (a safety app; backed by Founders Fund, Sequoia, 8VC) grow its users by 4X and grew an AI-powered sales program to $100s of millions in revenue/year at Tesla.\n\n[Marius](https://www.linkedin.com/in/mariusbuleandra/) previously ran data infrastructure @ Anduril, drove user growth at Citizen with Sumanyu, and was a founding engineer @ Spell (an MLOps startup acquired by Reddit).\n\n![Sumanyu & Marius](/media/?type=post&id=81003&key=user_uploads/497858/750619c5-790d-4ba7-a4a4-e60c8f520506)\n\n## Our ask\n\nIn this launch, we showed how we help teams optimize each prompt. In our next launch, we'll walk through how teams use Hamming to optimize their entire AI app.\n\n* **Feedback.** We want you to throw real-world tasks at our optimizer and tell us what's working and where we can improve.\n* **Warm intros.** We'd love intros to anyone you know who writes a lot of prompts by hand or cares about solving AI reliability (including you!)\n\n![uploaded image](/media/?type=post&id=81003&key=user_uploads/497858/d11a6a2d-9b13-471e-974a-332f7ef5bc2f)\n\n## Email us [here](mailto:sumanyu@hamming.ai).\n\n## Book time on our [calendly](https://calendly.com/sumanyusharma/30min).",
        "url": "https://www.ycombinator.com/launches/L4V-hamming-let-ai-optimize-your-prompts-free-for-7-days",
        "votes": 84,
        "created_at": "2024-05-21T16:25:15.789Z"
      }
    ]
  },
  {
    "id": 29611,
    "name": "mdhub",
    "slug": "mdhub",
    "former_names": [
      "mdhub Inc"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c645ee5ac2dfc857e6927bf9a9ef4fb62efe8521.png",
    "website": "https://www.mdhub.ai/",
    "all_locations": "San Francisco, CA, USA",
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      {
        "id": 99049,
        "title": "mdhub - AI native operating system for behavioral health clinics",
        "tagline": "🚀 mdhub just shipped the full stack. ",
        "body": "**mdhub just shipped the full stack.**\n\nWe started mdhub with a simple belief: the biggest barrier to behavioral health care isn't the shortage of great clinicians. It's the broken infrastructure they're forced to work with.\n\nClinics run on five disconnected systems stitched together with duct tape. One for scheduling. One for documentation. One for billing. One for admissions. One for patient communication. None of them talk to each other. Clinicians waste hours every day navigating this mess instead of seeing patients.\n\nToday, mdhub is the first AI-native operating system for behavioral health clinics. One platform where AI workers and clinical teams work together across admissions, clinical operations, and billing. Your AI workforce and AI-native EHR, in one\n\n**Here's how we got here.**\n\nEmma, our AI clinical assistant, has been used in over 3 million patient sessions across more than 1 million patients this past year. That's 500,000+ hours of admin work given back to clinicians. Hours they now spend seeing patients.\n\nSarah, our AI admissions coordinator, has booked over 100,000 patients into care. She handles 100% of inbound calls and texts for clinics, 24/7. She verifies insurance in real time, completes intake before the first appointment, and books patients in minutes, not days. Clinics using Sarah are booking 30% more new patients without adding a single person to their front desk. \n\nEric, our AI billing agent, 10x billing teams, handling coding, claims submission, and denial management. Same-day claim submission. Higher accuracy than manual teams.\n\n**Today we're launching three new products.**\n\n**mdhub EHR**: a clinical workspace built from the ground up for AI, not retrofitted. Documentation, intake, treatment planning, e-prescribing, billing all in one place. \n\n**mdhub CRM**: admissions pipeline management where nothing falls through the cracks. Every lead was captured. Every follow-up is automated. First response time drops from 48 hours to 5 minutes. Clinics are converting 3x more leads without adding headcount. \n\n**mdhub RCM**: end-to-end revenue cycle management. From claim submission to collections, AI-powered and fully integrated.\n\n**Why this matters:**\n\nBehavioral health clinics can now run admissions, clinical operations, and billing in one place where their human team and AI workers collaborate across every workflow. No more logging into five systems. No more data falling between the cracks. No more choosing between an EHR that can't do billing and a billing tool that can't do clinical work. One platform that lets clinics scale with AI workers and an AI-native OS, not more headcount.\n\nOne platform. Human teams and AI workers, working together.\n\nmdhub. Better operations. Elevated care.\n\n👉[Book a demo](https://calendly.com/liza-mdhub/30min).",
        "url": "https://www.ycombinator.com/launches/PlZ-mdhub-ai-native-operating-system-for-behavioral-health-clinics",
        "votes": 10,
        "created_at": "2026-03-25T17:31:18.690Z"
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      {
        "id": 90382,
        "title": "mdhub - AI agents for mental health clinics",
        "tagline": "We’re building AI agents to power the next generation of healthcare clinics - starting with mental health.",
        "body": "**tl;dr**\n\nToday, we’re excited to introduce Sarah, our 24/7 AI Admissions Coordinator.\n\nSarah qualifies new leads and books intakes automatically, helping clinics boost new patient volume by up to 30%. She manages 100% of inbound calls - handling follow-ups, reschedules, and medication refill requests - ensuring no message ever falls through the cracks.\n\nWith Sarah, clinics stay responsive and scalable - no extra hires, no added overhead.\n\nhttps://www.youtube.com/watch?v=_9O_z1MqhCQ\n\n**Our Journey**\n\nWe’re Dominik and Efren, on a mission to make mental healthcare accessible and affordable for everyone, everywhere. We met in 2018 while scaling a hyperscale startup - Efren as a founding engineer, and Dom as the first operator after starting his career at BCG. Since then, we’ve been building together, driven by a shared belief that AI and data will radically improve how patient care is delivered.\n\n**The Problem**\n\nNearly 50 million Americans live with a mental health condition and that number grows by 1.5 million each year. Meanwhile, the U.S. is facing a growing shortage of 30,000 mental health clinicians, making it harder to meet rising demand.\n\nBut the real crisis isn’t just the clinician shortage - it’s that the antiquated, fragmented systems around them can’t keep up.\n\nEven when providers are available, clinics struggle to manage the load. Intake calls go unanswered. Reschedules and refill requests fall through the cracks. Front desk staff are buried under hundreds of voicemails, forms, and follow-ups every week. Clinicians themselves spend more than half their time on documentation and admin, not with patients.\n\nThis operational drag is a massive bottleneck. Patients wait weeks for care, staff burn out, and clinics lose revenue on missed appointments and delayed treatment.\n\nThe result is a fragmented system that costs the U.S. healthcare system $300 billion annually due to delayed treatment, poor access, and administrative inefficiencies.\n\n**The Solution**\n\nOne year ago, we launched our AI Clinical Assistant to help clinicians reclaim their time by automating clinical documentation, pre-charting, and treatment planning. It's now been used in over 1 million patient sessions.\n\nNow we’ve launched Sarah, our AI Admissions Coordinator, to help patients access care faster by eliminating missed calls, delays, and administrative friction.\n\nSarah answers every call instantly, 24/7, no voicemails, no hold music. She qualifies new patients and books intakes, while also managing reschedules, cancellations, med refill requests, and appointment confirmations for existing patients.\n\nClinics using Sarah have seen up to a 30% increase in new patient bookings, while ensuring that 100% of existing patient inquiries are handled, without adding headcount.\n\n**The Future We Are Building**\n\nWe believe the future of care will be driven by AI-first teams, where clinicians are surrounded by AI agents that handle everything outside the session, so they can focus on what matters most: seeing patients.\n\nBut we’re not just building the agents, we’re building the workspace where they collaborate, hand off tasks, and get things done.\n\n**How You Can Help**\n\nIf you run, work at, or know someone at a mental health clinic, we’d love to connect.\n\nYou can reach us at [founders@mdhub.ai](mailto:founders@mdhub.ai), or you can book a demo on our [website](https://www.mdhub.ai/ai-intake-coordinator?utm_source=YC+Launch+2025&utm_medium=YC+Launch+2025&utm_campaign=YC+Launch+2025&utm_id=YC+Launch+2025).",
        "url": "https://www.ycombinator.com/launches/NVm-mdhub-ai-agents-for-mental-health-clinics",
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        "created_at": "2025-05-14T00:15:30.088Z"
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        "id": 82215,
        "title": "mdhub - Clinical AI assistant for mental health clinics",
        "tagline": "We power mental health clinics with our AI assistants to efficiently run their operations.",
        "body": "# tl;dr\n\nInstead of seeing patients, mental health clinicians spend 50% of their time on other tasks, delaying access to mental health care. We aim to help them become 10x more efficient with our clinical AI assistant by automating tasks that keep them from seeing more patients.\n\nSince our launch 6 months ago, we successfully saved clinicians more than 100,000 hours in admin tasks, enabling them to generate tens of millions in additional revenue.\n\n# Our Story\n\nWe are [Dominik](https://www.linkedin.com/in/dominik-middelmann-01232378/) and [Efren,](https://www.linkedin.com/in/efrenal/) and we are on a mission to make mental healthcare accessible and affordable for everyone, everywhere. Efren holds an MSc in Computer Science and has been passionate about leveraging technology to improve health outcomes and has extensive experience building products. Dom holds a Masters in Management from London Business School and started his career at BCG.\n\nOur joint journey started in 2018 at a hyperscale start-up, where Efren joined as a founding engineer and Dom as the first hands-on operator. Since then, we have been building products together. As mental health challenges rise globally, we're committed to being at the forefront of innovation, leveraging AI and data to improve lives and transform care.\n\n![uploaded image](/media/?type=post&id=82215&key=user_uploads/1803359/0efac628-16d5-4d3a-9d1c-5e6ca1d672d6)\n\n\n# The Problem\n\nMental health issues are a growing concern in America, with approximately 50 million Americans currently grappling with a mental health condition. Alarmingly, this number is increasing by 1.5 million each year.\n\nConcurrently, the US is on track to face a shortfall of 30,000 mental health clinicians by 2024, a situation that's already costing the US health system $300 billion annually due to delayed treatment.\n\nIn a world where time is of the essence, clinicians are spending only 50% of their day with patients, while the rest is consumed by tasks like clinical documentation, dealing with insurance, and other back-office heavy work.\n\n# Our Solution\n\nWe power mental health clinicians with mdhub’s clinical AI assistant, enabling them to focus on patient care.\n\nThe patient-clinician conversation is at the core of mental health treatment, and by capturing it, our clinical AI assistant can automate tasks that prevent clinicians from dedicating more time to patients, such as writing clinical documentation, drafting patient after-visit reports, pre-charting, and treatment planning.\n\nWe are particularly excited about receiving daily appreciation from our users.\n\n“…I absolutely love the software.” Female, Psychotherapist, Montana.\n\n“…You have a dynamite product. I am so happy I came across you guys.” Female, Psychotherapist, Nevada.\n\n“…Instead of an hour of paperwork at the end of the day I’m wrestling with my kids, well worth it!” Male, Psychiatrist, Minnesota.\n\n“…It is truly such a great help - I am currently actually near burnout and going down on FTE for this year because of notes, and your program has given me some hope, actually!” Male, Psychiatrist, Texas.\n\n# The Future We Are Building\n\nWe believe running a more efficient practice is just the first step. In the future we are building, we will empower clinicians to start and grow their practices, bringing us closer to our mission of making mental health accessible and affordable for everyone and everywhere.\n\n# How you can help\n\nIf you own, work for, or know someone at a mental health clinic, we’d love to connect.\n\nIf you work for a behavioral health insurance company or know someone who does, please contact us.\n\nYou can reach us at [founders@mdhub.ai,](mailto:founders@mdhub.ai) or you can book a demo on our [website](https://bit.ly/4f6kvWn).",
        "url": "https://www.ycombinator.com/launches/LO3-mdhub-clinical-ai-assistant-for-mental-health-clinics",
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        "user_id": 883803,
        "full_name": "Michael Han",
        "title": "Founder",
        "founder_bio": "Hi guys - love building, designing and more. If you ever want help with fine-tuning or LLMs be sure to reach out!",
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        "linkedin_url": "https://linkedin.com/in/michaelhan3",
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        "id": 73175,
        "title": "Founding ML Engineer",
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        "full_name": "Tim Hermes",
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        "founder_bio": "Tim previously built software for accountants at Taxfix (Unicorn) and scaled it from scratch to multiple millions ARR in under 12 Months. He studied Economics at Berkeley and Ludwig-Maximilians University.",
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        "full_name": "Markus Jungnickel",
        "title": "Founder",
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        "full_name": "Kilian Justus",
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        "founder_bio": "Kilian has launched tax filing products in Italy and France as product manager at Taxfix (Index, TGV). He was employee #1 at genova.ai, a B2C AI product studio, and studied at Williams College and Oxford. ",
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        "id": 83192,
        "title": "Tabular - AI Autopilot for Accounting Firms",
        "tagline": "We use LLMs to automate the core workflows of accounting firms.",
        "body": "# **TL;DR**\n\nTabular uses AI to automate the core workflows of accounting firms, starting in Europe. We generate zero-touch bookings on top of existing accounting software. This involves a range of tasks like classifying documents, determining VAT filings and selecting the correct booking accounts.\n\n# **Problem: manual work x acute labour shortage**\n\nOur customers use Tabular to save time on manual tasks, helping them address the acute labor shortage. Much of SMB accounting is still done by hand, but every second accounting firm has unfilled positions, causing them to lose out on revenue. Customers tell us they reject 5-10 new clients every week and have to drop existing ones whenever a bookkeeper retires. \n\n# **Why now? LLMs are a game changer for accounting**\n\nFor the first time, LLMs allow us to offer a step change in automation, reducing the time it takes to do an SMB’s book from hours to minutes. Previous generations of AI struggled with the highly variable and unstructured nature of SMB accounting data – but LLMs excel at precisely these tasks. Their ability to ingest large amounts of context about the nature of the business and transaction at hand, allows them to accurately reason through the many small accounting decisions required for every invoice. \n\n# **Solution: Accounting Autopilot**\n\nOur first product is an accounts payables autopilot sitting on top of incumbent accounting software.  Users bulk upload hundreds of invoices. We sort through the documents, analyse the tax situation, and generate finished bookings. After reviewing edge cases, users export the books with just one click. Our product is already saving time for accounting firms in Germany:\n\n> _As a modern firm, we need to use the most innovative software. Tabular saves us hours each week by automating split receipts and complex wholesaler invoices from the very first use._\n\n\\- Tim Kieserling from [HeyTax,](https://www.hey-tax.de/) a 40-person firm\n\n![uploaded image](/media/?type=post&id=83192&key=user_uploads/1640667/c46a693c-a6ee-4713-be4c-d2dc69db050e)\n\n# **Team**\n\n[**Markus**](https://linkedin.com/in/markus-jungnickel) - studied Law & Business at Cambridge, where he graduated top of his class, and holds an MSc in Computing Science from Imperial College. He previously worked on launching new financial services at the European fintech unicorn [Trade Republic](https://traderepublic.com/en-de) (backed by Sequoia, Founders Fund, Creandum).\n\n[**Kilian**](https://linkedin.com/in/kilian-j) - launched tax filing products in two new markets at [Taxfix](https://taxfix.de/en/) (Index, TGV) as a product manager and was employee #1 at [genova.ai](http://genova.ai), a B2C AI product studio. He studied at Williams College and Oxford.\n\n[**Tim**](https://www.linkedin.com/in/tim-hermes/) - launched and scaled automation for the same customer group before. At Taxfix, he built the “[Tax Advisor Product Vertical”](https://taxfix.de/en/how-it-works/) as GPM from 0 to multiple million ARR in under 12 months, by automating income tax filing for tax advisors. Now, he has set out to automate accounting for them.\n\n# **Ask**\n\n* Join us on [LinkedIn](https://www.linkedin.com/company/tabular-gmbh)\n* Connect us with German accounting firms and SMBs who are unhappy with their accounting setup\n* Reach out to us via email ([founders@gotabular.de](mailto:founders@gotabular.de))",
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        "title": "Founding Growth Lead",
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        "id": 83780,
        "title": "VideoGen – Generate professional videos in seconds",
        "tagline": "Introducing VideoGen, the world's first AI that can create and edit videos for you.",
        "body": "<https://www.youtube.com/watch?v=unJnvJqdN28>\n\n**TLDR:** [VideoGen](https://videogen.io) makes it easy for anyone to create professional, copyright-free videos in seconds. Today, we serve thousands of customers, from individuals and small businesses to teams at Google and ByteDance. Making videos is hard, time-consuming, and expensive when outsourced. With VideoGen, it only takes a few clicks!\n\n![uploaded image](/media/?type=post&id=83780&key=user_uploads/1009656/0cd0d883-05cf-413b-b11b-aca79175e512)\n\n👋 Hello, we’re Anton and David. We bootstrapped VideoGen out of our college dorm rooms to over 1 million users in under a year. We met at a tennis academy in middle school and became friends through our shared passion for building web apps and playing tennis. Now, we’re changing how the world creates videos with the help of AI.\n\n### **The Problem: Creating videos is tedious, painful, and hard.**\n\nMaking videos is hard. Each step of the process—scripting, recording voice-overs, finding and licensing high-quality footage, and editing—is extremely time-consuming.\n\nVideo editing products today are hard to use and have too many buttons. Paying someone to make videos for you is expensive and slow.\n\n### **The Solution: AI that creates videos for you.**\n\nVideoGen can automatically edit professional videos together in a few seconds, saving our customers time and the pain of hiring a video editor.\n\nIn just a few clicks, VideoGen can:\n\n​​🧠 Take in company/brand knowledge and media\n\n​​✍️ Write a video script\n\n🗣️ Generate a lifelike voice-over\n\n✂️ Edit together relevant, copyright-free footage\n\n💬 Add captions\n\nVideoGen does this all in over 100 languages and accents for a global user base.\n\nOnce your video is done, you can add your finishing touches in an easy-to-use, web-based video editor.\n\n### **Try the API – Get $1,000 in free credits (YC Deal)**\n\nAre you interested in integrating VideoGen with your app? Reach out to us at [founders@videogen.io](mailto:founders@videogen.io)",
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      "name": "Nicolas Dessaigne",
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        "full_name": "Will Bodewes",
        "title": "Founder/CEO",
        "founder_bio": "Will Bodewes is the co-founder and CEO of Phonely. \n\nPrior to starting Phonely, he was pursuing a PhD at the University of Melbourne researching applied artificial intelligence applications.  Before that, he founded an audio-tech startup that garnished celebrity engagement from Chance the Rapper, the band ASIA and more. During college, he competed in the NCAA's for XC skiing, and was one of the top ultra-endurance cyclists in the world. ",
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        "full_name": "Nisal Ranasinghe",
        "title": "Founder/CTO",
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        "title": "Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/phonely/jobs/sTAy0qR-forward-deployed-engineer",
        "location": "San Francisco, CA, US",
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        "role_type": "Full stack",
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        "url": "https://www.ycombinator.com/companies/phonely/jobs/95QPD0i-founding-account-executive",
        "location": "San Francisco, CA, US",
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        "location": "San Francisco, CA, US",
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        "id": 92257,
        "title": "Technical Customer Success Manager",
        "url": "https://www.ycombinator.com/companies/phonely/jobs/EFLcv7X-technical-customer-success-manager",
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        "title": "This Startup Built AI That 80% of Callers Think Is Human",
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        "title": "📞 Phonely - Humanlike AI receptionists",
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        "body": "**TL;DR We use your website to create an AI receptionist that can answer FAQs, route calls, and book appointments, ready to go in under 5 minutes. Don’t believe us? Try it free **[**here**](https://phonely.ai?utm_source=ycombinator.com&utm_medium=referral&utm_campaign=Y+Combinator+Launch)**.**\n\n**—**\n\nHey 👋! It's [Will](https://www.linkedin.com/in/william-bodewes/) and [Nisal](https://www.linkedin.com/in/nisalr/) here. We’re building [Phonely](https://phonely.ai/), an AI receptionist system that ensures **you’ll never get put on hold again.**\n\n![uploaded image](/media/?type=post&id=81087&key=user_uploads/1858453/e3a4653a-20d2-4554-8afe-bbb3e09631b7)\n\nWe are both former PhD AI researchers from the University of Melbourne, and 8 months ago, we set out to build an AI receptionist that could do everything that a person could do over the phone, and it's safe to say we’re done just that.\n\n**❌ The Problem**\n\nMissed calls cost businesses tens of thousands of dollars in lost revenue every year. Sure, you can hire a receptionist or outsource to a call center, but even they face the same problem. Humans sleep, have bad days, and ultimately don’t scale. We can do it better, faster, and 70% cheaper than the status quo.\n\n**✨ Our Solution**\n\nPhonely uses a website URL to build a humanlike AI answering system in just a few minutes. Our platform then connects to scheduling software, routes calls, and integrates with an existing knowledge base, all while improving its responses over time.\n\n![uploaded image](/media/?type=post&id=81087&key=user_uploads/1858453/e3f68d5e-3ef0-4e57-b1de-31cdee756459)\n\nAfter the call, Phonely provides powerful AI analytics and automatically extracts relevant information, sending it directly to the business CRM, phone, or inbox.\n\nPhonely doesn’t just sound like a person. It can do things like a person, too.\n\n* Connect directly to your calendar to schedule, cancel, or rebook appointments\n* ⁠Send SMS messages\n* ⁠Trigger live automations based on the callers’ inquiry\n* Place outbound calls to remind customers about important events (i.e. upcoming appointments)\n* [And much more](https://www.youtube.com/watch?v=sfidfcFpiK0)\n\n**⚙️ How it works**\n\nPhonely combines the best voice providers, language models, and transcription software to create contextually accurate, lifelike voice responses in under a second. If you give us your website, we will visit every page and extract relevant information automatically, formatting it to work with our custom-trained language models. We also directly integrate with a bunch of different software, such as Google Calendar and Zapier, to make it easy to manage appointments and so much more.\n\nSee it in action: <https://www.youtube.com/watch?v=djG8ZJShquk>\n\n**🙏 Asks**\n\n1. Build an AI receptionist from your business website (it's free and takes less than a minute). Do that [here](https://phonely.ai?utm_source=ycombinator.com&utm_medium=referral&utm_campaign=Y+Combinator+Launch).\n2. Don’t have a business but know one? We’re doing the best affiliate deal we’ll ever have. Join that [here](https://affiliate.phonely.ai).\n3. Also, if you have 10 minutes to chat about Phonely, please book a time with me [here](https://www.calendly.com/phonely) 😊\n\nFollow our [Linkedin](https://www.linkedin.com/company/phonely-ai/), [Twitter](https://x.com/phonely_ai), and [Youtube](https://www.youtube.com/@phonely-ai) to stay up to date.",
        "url": "https://www.ycombinator.com/launches/L5r-phonely-humanlike-ai-receptionists",
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        "url": "https://www.ycombinator.com/companies/corgi-insurance/jobs/s4me2xB-software-engineer",
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        "location": "Austin, TX, US",
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        "location": "London, England, GB",
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        "title": "Full Stack Engineer - New Product Line",
        "url": "https://www.ycombinator.com/companies/corgi-insurance/jobs/MrPadBh-full-stack-engineer-new-product-line",
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        "id": 116801,
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        "id": 117131,
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        "location": "Dallas, TX, US / Chicago, IL, US / Salt Lake City, UT, US",
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        "id": 117263,
        "title": "General Manager Corgi Cafe",
        "url": "https://www.ycombinator.com/companies/corgi-insurance/jobs/yg4b6qg-general-manager-corgi-cafe",
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        "id": 117329,
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        "id": 117417,
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        "date": "May 28, 2026"
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        "title": "This AI Insurance Company With An All-Night Cafe And Cheeky Corgi Is Now A Unicorn",
        "url": "https://www.forbes.com/sites/richardnieva/2026/05/05/corgi-ai-unicorn/",
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        "title": "San Francisco coffee shop Corgi Cafe is run by an AI insurance startup",
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      {
        "title": "San Francisco coffee shop Corgi Cafe is run by an AI insurance startup",
        "url": "https://www.mercurynews.com/2026/04/28/this-bay-area-cafe-is-open-24-hours-a-day-its-owners-want-you-to-buy-ai-insurance/",
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      {
        "title": "Startup insurer Corgi raises $108M at $630M valuation",
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        "id": 82043,
        "title": "Corgi Insurance",
        "tagline": "Corgi is the first insurance carrier built for startups and technology companies.",
        "body": "Corgi is a full-stack insurance carrier building better, faster insurance products for [startups](https://www.corgi.insure/startup-insurance). We’re not a broker, so we underwrite and issue policies directly, with fewer handoffs, less friction, and better pricing. Cutting out intermediaries lets us tailor coverage to how your company actually operates and price risk more efficiently.\n\nGet an instant quote for all common startup coverages at [www.corgi.insure](https://www.corgi.insure). Corgi provides the following lines of coverage, and more:\n\n* [Directors and Officers Insurance](https://www.corgi.insure/blog/do-insurance-for-startups)\n* [Commercial General Liability Insurance](https://www.corgi.insure/blog/cgl-insurance-for-startups)\n* [Technology Errors & Omissions Insurance](https://www.corgi.insure/blog/tech-eo-insurance-for-startups)\n* [Cyber Liability Insurance](https://www.corgi.insure/blog/cyber-insurance-for-startups)\n* [Employment Practices Liability Insurance](https://www.corgi.insure/blog/epli-insurance-for-startups)\n* [Media Liability Insurance](https://www.corgi.insure/blog/media-liability-insurance-for-startups)\n* [Hired and Non-Owned Auto Insurance](https://www.corgi.insure/blog/hnoa-insurance-for-startups)\n* Representations & Warranties Insurance\n\nGet an instant quote online or [talk](https://www.corgi.insure/get-advisor) to a licensed insurance representative to learn about your startup’s risk exposure and insurance needs.\n\n![uploaded image](/media/?type=post&id=82043&key=user_uploads/1990806/a3293664-e7bb-43d5-90e4-8cbab5d79ec7)\n\n",
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        "founder_bio": "Co-founder and CTO @Firstwork, Rippling for seasonal workers.\nPreviously:\nDirector of Engineering @Deel, led the development and management of PEO, Immigration/Mobility, Time-Off & Time-Tracking products at Deel. \nBuilt out the core infrastructure for the Employer Of Record (EOR) systems at @Rippling, which enabled Rippling’s market entry into end-to-end employee lifecycle in 50+ countries. ",
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        "linkedin_url": "https://www.linkedin.com/in/shubhamtech/",
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        "id": 108077,
        "title": "Software Engineer",
        "url": "https://www.ycombinator.com/companies/firstwork/jobs/CaWvqIS-software-engineer",
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        "type": "Full-time",
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        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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        "id": 108078,
        "title": "Staff Software Engineer",
        "url": "https://www.ycombinator.com/companies/firstwork/jobs/Jpe1GBs-staff-software-engineer",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "8+ years",
        "visa": "US citizen/visa only",
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        "id": 108079,
        "title": "Senior Product Manager",
        "url": "https://www.ycombinator.com/companies/firstwork/jobs/sv2lAWi-senior-product-manager",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Product",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
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        "id": 108080,
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        "url": "https://www.ycombinator.com/companies/firstwork/jobs/9RCMhSt-product-manager",
        "location": "Remote (US)",
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        "role": "Product",
        "role_type": null,
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        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
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        "id": 108081,
        "title": "EMEA Sales Lead",
        "url": "https://www.ycombinator.com/companies/firstwork/jobs/lBAMr0I-emea-sales-lead",
        "location": "Remote (US)",
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        "experience": "5+ years",
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        "url": "https://www.ycombinator.com/companies/firstwork/jobs/75hLFkg-strategy-operations-lead-emea",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
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        "experience": "5+ years",
        "visa": "US citizen/visa only",
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        "title": "Solutions Consultant, EMEA",
        "url": "https://www.ycombinator.com/companies/firstwork/jobs/Imp7Jfm-solutions-consultant-emea",
        "location": "Remote (US)",
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        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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        "title": "Head of Research & Editorial",
        "url": "https://www.ycombinator.com/companies/firstwork/jobs/7EuCWDN-head-of-research-editorial",
        "location": "Remote (US)",
        "type": "Full-time",
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        "url": "https://www.ycombinator.com/companies/firstwork/jobs/qN5pbyD-head-of-research-editorial",
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        "experience": "5+ years",
        "visa": "US citizen/visa only",
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        "title": "Senior Software Engineer",
        "url": "https://www.ycombinator.com/companies/firstwork/jobs/sRQFKmZ-senior-software-engineer",
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        "id": 109577,
        "title": "Marketing Design Lead",
        "url": "https://www.ycombinator.com/companies/firstwork/jobs/lgyvomJ-marketing-design-lead",
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        "title": "Workforce management startup Firstwork raises $5M seed",
        "url": "https://www.axios.com/pro/fintech-deals/2025/02/27/workforce-management-firstwork-5-million",
        "date": "Feb 27, 2025"
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        "id": 82431,
        "title": "🚀 Firstwork - Rippling for frontline workers",
        "tagline": "The all-in-one HR and compliance platform cutting onboarding time >75%",
        "body": "**tl;dr**: [**Firstwork**](https://firstwork.com/) **is building Rippling for frontline workers.**\n\nHi everyone! We are Vardhan and Shubham, and we’re on a mission to build an all-in-one HR and compliance platform for frontline workers.\n\n🧨 **The Problem:** Managing workforces in sectors like transport, delivery, and logistics is complex and inefficient. Many sectors have seasonal onboarding/offboarding and onerous credential validation that bottleneck HR Ops teams. Traditional HRIS solutions are scattered across multiple systems, which leads to delays, compliance issues, and high operational costs.\n\nWorking at Deliveroo and Remitly, where we spent a lot of time partnering with frontline workers across the gig economy, trucking, and logistics industries. Managing HR and compliance was a constant struggle.\n\n🎉 **The Solution:** At **Firstwork**, we realize that worker onboarding, compliance, and management are not standalone problems but interconnected opportunities that require a unified approach. It’s with these insights that we’re building a compound product, with an initial focus on:\n\n* **Smart Onboarding 📋:** Automates credential verification with Intelligent Process Automation and OCR, reducing admin burdens and speeding up time-to-productivity.\n* **AI-Assisted Communication 🤖:** Enhances new hire activation for better engagement and faster integration.\n* **Perpetual Compliance ✅:** Uses AI and OCR to ensure continuous compliance, tracking document expirations and updating records.\n\n**Using Firstwork, Employees:**\n\n✔️ Get onboarded faster and with less hassle\\\n✔️ Receive timely and relevant communication for better engagement\\\n✔️ Stay compliant with regulations effortlessly\n\n**and Companies:**\\\n✔️ Avoid compliance issues and potential penalties\\\n✔️ Improve overall worker efficiency per hour \\\n✔️ Save time, costs, and reduce administrative burdens\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXe2_g1HVyT3kqDGZDJeclhjnPtvP8Z1UOnnNkp8LIbHqbmJVEdMbMOpXn3ZHSTqrHlBsnv_dZS1wtr9c5ZBWffOOseNQAXRKDnLd8dpKGny22Mq7QRMSK5F4VpGQMilE8hgMMSs7cX86oRJSorWvDexFrze?key=BnWjbm21DhEvXen5Fbi5aQ)\n\n\\\n💲 **Opportunity:** The scope and impact of our market are significant. Companies in logistics, warehousing, delivery, hospitality, and BPO centers can benefit from our platform, improving their workforce management processes and saving costs.\n\n**Our Team:**\n\n[Vardhan Kapoor](https://www.linkedin.com/in/vardhan-kapoor/), our CEO, has firsthand experience with blue-collar worker engagement challenges at Deliveroo and Remitly, where he scaled various business units to high eight-figure USD ARR. [Shubham Choudhary](https://www.linkedin.com/in/shubhamtech/), our CTO, built the core HR infrastructure at Rippling and Deel and holds multiple US patents.\n\n👋 **Ask:** How you can help\n\n* We’d love to connect with companies in the logistics, ride-hailing, warehousing, trucking, delivery, hospitality, and BPO centers. \n* If you know potential customers or partners, please reach out at [vardhan@firstwork.com.](mailto:vardhan@firstwork.com)\n* We’d also love any feedback or advice from this incredible community.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXdXMy7QIbUBRiQJM2qgKkTV5KgMxDfhlzakRVbkQ_S67FG9Yp78Y6f9WUUD8TLRLuy9CZrZux6ko1__oMg3ehSw3XmvAR0McL7kY3kCrEj7Hdzg3XNCxkXjjhfODZdKqEeBLseqdvV7BbhA0XVCWmgyZ1w?key=BnWjbm21DhEvXen5Fbi5aQ)\n\n",
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        "created_at": "2024-07-24T23:57:23.769Z"
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    "long_description": "Stardrift is an AI travel planner. We help our users find and book flights, hotels and activities for their vacations.",
    "one_liner": "AI travel planner",
    "team_size": 3,
    "industry": "Consumer",
    "subindustry": "Consumer -> Travel, Leisure and Tourism",
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    "nonprofit": false,
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/stardrift",
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    "country": "US",
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      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
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        "user_id": 1337444,
        "full_name": "Leila Clark",
        "title": "Founder/CTO",
        "founder_bio": "I'm building Stardrift, an AI travel planner. Before this, I was a software engineer at Jane Street. I graduated from Princeton with highest honors in Computer Science.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/leila-clark-898548131",
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        "title": "Founding Software Engineer",
        "url": "https://www.ycombinator.com/companies/stardrift/jobs/nC7cjhB-founding-software-engineer",
        "location": "San Francisco, CA, US",
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    "name": "Leeroo",
    "slug": "leeroo",
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    "website": "https://www.leeroo.com/",
    "all_locations": "London, England, United Kingdom",
    "long_description": "An AI that continuously learns your organization’s knowledge and expert playbooks, uses experimentation, and with human approval ships data & AI programs and their operational UIs on your existing stack.",
    "one_liner": "Organizational Superintelligence",
    "team_size": 3,
    "industry": "B2B",
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    "country": "GB",
    "linkedin_url": "https://www.linkedin.com/company/leeroo",
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      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
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        "full_name": "Majid Yazdani",
        "title": "Founder/CEO",
        "founder_bio": "I am the co-founder and CEO of Leeroo. Before that, I was a staff scientist at Meta AI, Linkedin AI, VP at BYJU's, University of Geneva, and Idiap Research Institute. I got my PhD in machine learning from EPFL.\n",
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        "full_name": "Alireza Mohammadshahi",
        "title": "Founder",
        "founder_bio": "Co-founder at Leeroo, hold a PhD from EPFL. Previously, developed an LLM-as-a-judge systems at Meta AI and a compact massively multilingual LLLMs at NAVERLABS, both with more than 1 million downloads, widely benefiting the AI community. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/alireza-mohammadshahi/",
        "x_url": "https://twitter.com/alireza_mshi",
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        "id": 79062,
        "title": "Research Scientist Intern – PhD (AI Agentic Systems)",
        "url": "https://www.ycombinator.com/companies/leeroo/jobs/yYHzLas-research-scientist-intern-phd-ai-agentic-systems",
        "location": "London, England, GB / Remote",
        "type": "Internship",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$6.5K - $10K / monthly",
        "equity_range": "",
        "experience": null,
        "visa": "US citizenship/visa not required",
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        "id": 81393,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/leeroo/jobs/EN35UC5-founding-engineer",
        "location": "London, England, GB / Remote",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "£70 - £100 GBP",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
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    "news": [],
    "launches": [
      {
        "id": 90848,
        "title": "Leeroo - Trainable AI Agents",
        "tagline": "Trainable AI agents that keep learning—and getting better at their job—every day",
        "body": "Hi everyone 👋\n\nLeeroo delivers **trainable AI agents that learn much like human colleagues— from knowledge bases, human feedback, and even their own past experiences.** That continuous learning bridges the gap between generic AI and the expert performance companies need. We’re starting with agents for **data- and AI-teams**.\n\n[https://youtu.be/ONHTKTB7Dik](https://youtu.be/ONHTKTB7Dik?feature=shared)\n\n### **❌** Problem\n\nAI agents look impressive, but for specialized work they remain semi-experts—and you can’t effectively train them into experts. General-purpose agents can’t learn from their own experience, human guidance, or domain-specific materials, so they quickly plateau at basic capabilities. Data and AI tasks demand deep specialization that off-the-shelf agents simply don’t reach.\n\n### **✅** Our Solution\n\nScaling pre-training to squeeze out marginally better foundation models has flat-lined. **The real moat isn’t building demo agents, it’s training that agent to expert level on your private context.** While agent scaffolding is commoditising fast, Leeroo’s on-prem, **continuous-learning engine transforms your data, workflows, and tacit know-how into a compounding strategic asset—without leaving your VPC.**\n\n**What Makes Leeroo different**\n\n* **Continuous Learning Loop:** Every interaction becomes training data. Agents digest codebases, docs, videos, self-discovery experiences, and your real-time feedback, then consolidate the lot overnight—so yesterday’s lessons fuel tomorrow’s results.\n* **Domain-Specific Reasoning Library:** Symbolic search, specialised code synthesis, and deep data/ML expertise tackle real engineering problems directly, not through brute-force guessing.\n* **Multi-Agent Workforce:** Multiple agents collaborating asynchronously on heavy jobs, could run entirely inside your VPC.\n\nOur early **customers** already **see their trained agents as high-value assets—assets that appreciate as the agents keep mastering more of the organisation’s knowledge.**\n\n### Team\n\nWe’ve worked together for 3 + years on various AI systems. Altogether the team has co-authoring **50 + papers in top AI venues**, open-sourcing models downloaded **1.5 million+ times**, and earning **3K+ GitHub stars**.\n\n**Majid – Co-founder & CEO**\n\n**PhD, EPFL (ML)**. Built and led multiple AI teams, created core technologies and AI-enabled products, published research articles in top-tier venues —some featured in media. He was a **staff Scientist at Meta AI**, where he co-developed a breakthrough technology called “**Neural Databases**” and drove LLM applied research that powered customer-support automations and feed relevance across Meta’s apps. Before that, he was **staff Scientist at LinkedIn AI**, led content-understanding, job-profile matching, and economic-graph representation learning. **Former VP of Research & Technology at BYJU’S**; earlier research posts at the University of Geneva and Idiap Research Institute.\n\n**Alireza – Co-founder & Chief Scientist**\\\nWith a **PhD in CS/AI from EPFL** and a proven record across leading labs, he has repeatedly advanced LLM research and deployment: at **Meta AI**, he built an **LLM-driven evaluation pipeline** that boosted LLM performance on out-of-domain datasets; at **Naverlabs**, he compressed a state-of-the-art multilingual machine-translation model by 40x; at the **University of Zurich**, he introduced ensemble and contrastive decoding techniques that significantly lifted translation accuracy; and at the Idiap Research Institute, he devised methods for encoding structured data in LLMs, enhancing a range of NLP tasks. His open-source releases have collectively surpassed **one million downloads on Hugging Face**, and the underlying research has produced fifteen papers in top-tier AI conferences.\n\n**Arshad – Co-founder & CTO**\\\nWith an M.S. in Computer Science from Mumbai University, Arshad **bridged research and production** at BYJU’S AI Labs—building BADRI, a **multimodal transformer–based recommender** trained on 30 billion interactions. He also **engineered an inference stack** that serves over 10 million students efficiently. Prior to that, he was a deep-learning researcher at IIT Bombay.\n\n## Our Ask\n\nWe’re lining up pilot partners in **banking, finance, and healthcare** who need AI agents that respect data sovereignty yet deepen domain expertise over time.\n\n💡 If you know innovation leaders wrestling specifically with data and AI problems, we’d love an intro.\\\n👉 Contact us at [founders@leeroo.com](mailto:founders@leeroo.com) or [book a demo](https://leeroo.com/contact-us)\n\nHelp us bring continuously learning AI to the industries that need it most.",
        "url": "https://www.ycombinator.com/launches/NdI-leeroo-trainable-ai-agents",
        "votes": 27,
        "created_at": "2025-05-29T15:50:22.975Z"
      }
    ]
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  {
    "id": 29657,
    "name": "Azalea Robotics Corporation",
    "slug": "azalea-robotics-corporation",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a43d3ef392fa3a7d4ef89797c2972ddacbdd1b5c.png",
    "website": "https://azalearobotics.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Azalea Robotics automates airport baggage handling with intelligent robot operations. The global market for airport baggage handling systems is $20+ billion and growing, presenting a significant opportunity for innovation and market disruption in this sector.\r\n\r\n\r\nPassenger air traffic volume is increasing, driving demand for efficient and reliable baggage handling at airports and putting immense pressure on existing infrastructure. In 2023 alone, airports processed approximately 4.5 billion bags, highlighting the need for advanced solutions to manage this load effectively. Azalea Robotics provides state-of-the-art robotic systems that enhance efficiency, reduce mishandling, and improve passenger experience through more reliable operations.\r\n\r\n\r\nBaggage handling is a critical component of airline ground operations, yet it is fraught with challenges. The work is physically demanding, often leading to long-term injuries among workers. Traditional baggage handling involves repetitive lifting and maneuvering of heavy loads, which can result in long-term health issues. Azalea Robotics addresses these challenges by automating the most strenuous tasks, thereby reducing the risk of injury and enhancing operational efficiency.",
    "one_liner": "Automating airport baggage handling with robots.",
    "team_size": null,
    "industry": "Industrials",
    "subindustry": "Industrials -> Manufacturing and Robotics",
    "launched_at": 1723668106,
    "tags": [],
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    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Active",
    "industries": [
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      "Manufacturing and Robotics"
    ],
    "regions": [
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      "America / Canada",
      "Remote",
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        "title": "🚀 Unbound Security - Secure Gen AI apps for enterprise",
        "tagline": "We help enterprises prevent data loss on consumer Gen AI apps",
        "body": "### TL;DR\n\n[Unbound Security](https://www.unboundsecurity.ai/) prevents leakage of sensitive information when employees use Gen AI applications. For example, we intervene and stop when someone pastes a code snippet that contains a secret key into ChatGPT while troubleshooting.\n\n# The problem\n\n1. **AI faces enterprise adoption roadblocks**: Despite Gen AI boosting productivity, many enterprises remain wary. Even in 2024, over 1 in 4 organizations have banned all AI apps, keeping them off-limits to employees.\n2. **AI app sprawl:** There are now well over 1,000 Gen AI apps, and many have questionable security practices. These cool “tools” continue to worry CSOs (Chief Security Officers) as employees are already using many of these to get work done.\n3. **Data privacy remains a top concern**: Over 55% of all prompts contain some form of Personally Identifiable Information (PII). This is not only a privacy nightmare, but also pushes enterprises out of compliance with multiple regulations such as PCI, SOX and HIPAA.\n\n# Our solution\n\n1. **AI app discovery:** We discover and catalog all AI apps in use by employees and help security teams understand the risk levels of each of these apps.\n\n   ![uploaded image](/media/?type=post&id=83204&key=user_uploads/901694/8e15836b-4e62-4980-8805-1c87c21af0dd)\n\n2. **Granular application access policies:** Rather than block all apps by default, we allow enterprises to allow some trustworthy AI apps and steer users towards those. For example, if your org invested in Chat GPT enterprise, we help get the most out of that investment by encouraging people to use that instead of a random cool file summarizer on the internet.\n\n   ![uploaded image](/media/?type=post&id=83204&key=user_uploads/901694/113c41b1-c9d2-4df4-b74d-b914db53680d)\n\n3. **Protect data leakage:** On the allowed AI apps, Unbound monitors all prompts and also blocks users from sharing sensitive information based on the configured AI usage policy.\n\n   ![uploaded image](/media/?type=post&id=83204&key=user_uploads/901694/47fc0b0f-3d45-4d58-8684-64e85e0d8d5c)\n\n\n# Our ask and offer\n\n1. If you know a company that has blocked the usage of AI apps, we can help your friends use these apps with IT consent. Please drop us a note at [founders@unboundsecurity.ai](mailto:founders@unboundsecurity.ai).\n2. If you’d like to understand what people are using AI for within your org, and stay compliant, we are happy to offer our AI visibility platform for free to any YC company. Let’s [chat more over a meeting.](https://calendly.com/rajws/30-mins-meeting)\n\n# The team\n\n[Vignesh](https://www.linkedin.com/in/vigneshsubbiah16/) and [Raj](https://www.linkedin.com/in/rajaramsrinivasan/) worked together at Adobe on the same Engineering team for 5+ years, solving some of the most complex problems in the digital advertising space - The team built sub-millisecond latency systems that processed billions of advertising artifacts. Vignesh went on to be founding engineer at Tophatter and an early engineer at [Shogun (YC S18)](https://www.ycombinator.com/companies/shogun). Raj has built data security products for Palo Alto Networks and Imperva prior to Unbound where he observed the struggles of data security programs in large enterprises.\n\n![uploaded image](/media/?type=post&id=83204&key=user_uploads/901694/7b8b3e08-52e1-4d45-86ac-9963a62da345)\n\n",
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        "votes": 121,
        "created_at": "2024-08-19T22:37:57.387Z"
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        "title": "AI Startups Urge Congress to Preserve Access to Weather Data",
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        "title": "Silurian - Simulate the Earth",
        "tagline": "Foundation models for simulating Earth, starting with weather. ",
        "body": "# **The Problem**\n\nEvery day, crucial decisions are made based on outdated geospatial simulations. \n\nInsurance companies guess more than they would like about hurricane risks. Airports can't predict tomorrow's delays, let alone next week's. Meanwhile, utilities are crossing their fingers every heatwave that the grid won't collapse.\n\nEarth’s simulation infrastructure needs an upgrade.\n\n# **The Solution**\n\n![uploaded image](/media/?type=post&id=83141&key=user_uploads/1992622/3f194f0b-cfe1-4af7-a41a-e12d0d081aa7)\n\nToday, [Silurian](https://silurian.ai/) is announcing the launch of GFT (Generative Forecasting Transformer), a 1.5B frontier model that simulates global weather up to 14 days ahead at approximately 11km resolution with unprecedented accuracy. Our model outperforms numerical weather prediction systems from the American (NOAA) and European (ECMWF) agencies by up to 30% across multiple variables. \n\nRemember Hurricane Beryl? In a simulation (shown above) run on the 1st of July, GFT correctly predicted that the hurricane would hit Texas. In contrast, the NOAA and ECMWF models wrongly predicted a landfall in Mexico, as [The New York Times](https://www.nytimes.com/interactive/2024/07/29/science/ai-weather-forecast-hurricane.html) recently reported. \n\nGFT is immediately available to our customers via our **Artificial Planetary Intelligence (API)**. The API allows users to easily query our models at any location on Earth, and it will become publicly available in the next few weeks. \n\n![uploaded image](/media/?type=post&id=83141&key=user_uploads/1992622/aadb6eff-4273-443f-abab-ff9244da3dcf)\n\nGFT is only the beginning. We are working towards state-of-the-art simulation infrastructure for verticals such as energy, climate, and agriculture.\n\n# **Team**\n\nWe are a team of scientists and engineers with years of experience in building large-scale AI simulations at Microsoft Research and Google Brain. Our work on weather and atmospheric chemistry simulations at Microsoft has been featured in [Nature](https://www.nature.com/articles/d41586-024-01677-2), [Bloomberg,](https://www.bloomberg.com/news/articles/2024-06-25/from-trump-to-ai-bill-gates-sees-climate-impacts-for-the-world) and [The Wall Street Journal](https://www.wsj.com/tech/ai/ai-is-learning-to-predict-the-weather-8968fa7c?st=d0o2so2v9r14bf2&reflink=desktopwebshare_permalink).\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXd9eEb9mwTRMRPXQpJ6vkWtFRoUpGCc5sXpXIukdbAGyLsmWCAoqAKCOwXLbWfQZuFuGxg4Mu6qNyRHpIsoRKYlhDbnr8Qx0XCnUl26oa_T2ftzOsL4W3BijCebKj6OXA4oUoXWDnrqjJnqDIvGJz-SP5RL?key=P6HArdzTsIyNOARHbY8cEw)\n\n# **Our Ask**\n\nDo you want to talk about the weather? Reach out to us at [founders@silurian.ai](mailto:founders@silurian.ai)! ",
        "url": "https://www.ycombinator.com/launches/Lcz-silurian-simulate-the-earth",
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        "full_name": "Allan Guo",
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        "founder_bio": "Co-founder and CEO at Willow. Previously studied CS at Stanford. Researched ML + neuroscience at Stanford Medical. Worked on weird entrepreneurial endeavors since I was a kid like an EDM music label, an app for dementia caregivers, and an e-commerce business targeting moms.",
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        "title": "Founding Growth & Content Lead",
        "url": "https://www.ycombinator.com/companies/willow/jobs/BZLQByE-founding-growth-content-lead",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
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        "experience": "1+ years",
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        "title": "Founding Account Executive",
        "url": "https://www.ycombinator.com/companies/willow/jobs/gfGtPor-founding-account-executive",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
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        "salary_range": "$200K - $300K",
        "equity_range": "0.25% - 0.60%",
        "experience": "1+ years",
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        "id": 92525,
        "title": "Product Designer",
        "url": "https://www.ycombinator.com/companies/willow/jobs/Gz2wN1L-product-designer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Design",
        "role_type": "UI / UX",
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        "id": 95417,
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        "url": "https://www.ycombinator.com/companies/willow/jobs/tsJOvo1-ml-engineer",
        "location": "San Francisco, CA, US",
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      {
        "id": 90217,
        "title": "Willow Voice - Voice is Your New Keyboard",
        "tagline": "Willow is the future of voice-first computing...",
        "body": "Hey everyone! We're Allan and Lawrence, and we're building Willow.\n\n**TLDR**: Willow is an AI dictation app that writes anywhere on your computer. Designed for those who rely on email, messaging, and AI prompting workflows to work 4x faster.\n\n→ [Try it for free on Mac.](https://WillowVoice.com)\n\nYou can get set up in minutes and start dictating right away.\n\nLaunch video: https://youtu.be/8q9FRS8Km5U\n\n### **Why we’re building Willow Voice**\n\nWe spent an entire year pivoting across different industries before landing on Willow.\n\nWe started out building for assisted living facilities. The product didn’t land, but we discovered that dictation was a tool to help them stay connected and independent. That showed us how powerful voice could be.\n\nThen, we pivoted to building for medical clinics. We saw how AI scribes were saving doctors hours on documentation and letting them focus on patient care.\n\nThrough all these pivots, one thing became clear. Voice dictation is a superpower for anyone who types a lot. It’s 4x faster and easier than manual typing. \n\nWhy isn’t voice the default way we interact with our computers? Because the technology just wasn’t there—until now.\n\nThat insight led us to build Willow: fast, precise, and personalized voice dictation designed for how we work today.\n\n### **The solution: Willow Voice**\n\nWhat makes Willow special is that it’s not just basic voice typing. It’s smart, fast, and sounds like _you_. Here’s how:\n\n* **Context-awareness**: Willow looks at what you’re working on so it can get technical terms, names, and phrases right.\n* **Custom dictionaries**: You can add your own words—like company names, industry terms, or team slang—so they’re always spelled correctly.\n* **Smart correction and formatting**: Willow automatically fixes mistakes and adds structure—like formatting emails, breaking up paragraphs, and handling punctuation.\n* **Personalization** _(beta)_: We’re working on making Willow sound just like you—adjusting tone and style depending on what you’re writing.\n* **Privacy**: Willow runs in the cloud for speed and accuracy, but we never store or collect your voice or data. Privacy is our top priority, and it’s built into everything we do. There’s an optional, opt-in setting for users who want to help improve the model, completely anonymized.\n\nIt’s 40%+ more accurate than built-in dictation tools, works in under a second, and is so good that most users replace nearly all their typing with it.\n\n### **Who’s using Willow**\n\nPeople with heavy typing workflows love Willow because it helps them move faster and get more done. This includes: \n\n* **Engineers at YC** companies use Willow to prompt AI tools like Cursor up to 4x faster.\n* **Managers at Github, Canva, and Webflow** rely on it to brainstorm, take notes, and write docs hands-free.\n* **Sales teams** use Willow to reply instantly on Slack, email, and CRM tools.\n* **Busy professionals** drowning in email use Willow to clear out their inbox in minutes, not hours.\n\n### **Our ASK**\n\n**Try Willow Voice** → [WillowVoice.com](http://WillowVoice.com)\n\nIt helps you get work done 4x faster, just by talking rather than typing.\n\nIt’s free to start and works instantly on Mac. We’d love to hear what you think!\n\n![uploaded image](/media/?type=post&id=90217&key=user_uploads/1946827/bc11a0ad-17c4-4f8e-b7e8-339fa9fea0bb)\n\n",
        "url": "https://www.ycombinator.com/launches/NT7-willow-voice-voice-is-your-new-keyboard",
        "votes": 29,
        "created_at": "2025-05-08T18:39:32.554Z"
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    "id": 29675,
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    "website": "https://www.useoffstream.com/",
    "all_locations": "Denver, CO, USA",
    "long_description": "Offstream is Vanta for carbon compliance. \r\n\r\nToday, every new infrastructure project, from data centers to biomass power plants has a complicated mess of local, state, federal, and private sector standards that they must understand and comply with to make their projects profitable.\r\n\r\nOffstream solves this by using LLMs to parse regulations, generate technical reports for customers, and manage 100,000+ operational data points on project’s lifecycles. We cut the time customers spend on compliance by 90% and at 1/5th of the cost of alternatives.",
    "one_liner": "Vanta for carbon compliance",
    "team_size": 10,
    "industry": "B2B",
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    "launched_at": 1720465631,
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    "year_founded": 2023,
    "city": "Denver",
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        "body": "We’re Varsha and Zach, the co-founders of [Offstream](https://www.useoffstream.com/). We’re automating carbon compliance for project developers.\n\n👥 **The Team**\n\n![uploaded image](/media/?type=post&id=82460&key=user_uploads/1511734/c26f1ce5-81dd-4fc1-8ec5-70c1c016a774)\n\n5 years ago, [Varsha](https://www.linkedin.com/in/varsha-ramesh/) struggled through carbon compliance as a project developer at Indigo Ag. While she was at HBS, she spoke to hundreds of developers with the same challenges she faced, who all asked for a solution to their compliance bottleneck.\n\n[Zach](https://www.linkedin.com/in/zachjanicki) brings many years of full-stack software engineering experience at early-stage startups across compliance, legal, and accounting. He brings much-needed insight into building scalable products that replace people-intensive workflows.\n\n❗**The Problem**\n\nDespite a growing amount of funding (to the tune of $2T annually) flowing into new decarbonization projects, it is incredibly challenging for project developers to complete the paperwork needed to access that funding.\n\nToday, carbon project developers navigate a complex web of credits, regulations, and market standards. This information comes from local, state, and federal governments, NGOs, industry coalitions, and investors.\n\nTracking and reporting on compliance data is time-consuming, opaque, and expensive. The standards are dense, and most teams manage millions of data points in Excel and emailed PDFs, creating admin headaches.\n\n🏆 **The Solution**\n\n![uploaded image](/media/?type=post&id=82460&key=user_uploads/1511734/c3bf3ca9-fbf6-45d7-ac4b-5da337d326de)\n\nOffstream is a one-stop shop for carbon compliance, making it simple for carbon project developers to get compliant and stay compliant with regulatory and voluntary market compliance standards.\n\n<https://youtu.be/YrXj7POfO30>\n\nUsers set up and generate life cycle assessments (LCA), which are a core component of all compliance standards. Offstream builds off the LCA to generate compliance documentation at a fraction of the cost and time of alternatives.\n\n[Are you ready to stop spending time on paperwork and spend more time scaling decarbonization? Join us.](https://www.useoffstream.com/)",
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        "id": 82858,
        "title": "Dodo - AI Employees for Specialized Healthcare Clinics 🦤",
        "tagline": "We staff clinics with specialized AI agents.",
        "body": "Hey YC! We’re Dominik, Tim, and Julius from [Dodo](https://dodo.health).\n\nDominik and Julius grew up together, and we have known each other for 15 years. We were all in grad school together and just moved up from Stanford.\n\n# **TL;DR: Dodo handles front- and back-office tasks for specialty clinic end-to-end**\n\n* Our AI agents answer calls, send medical records, and refill prescriptions—fully autonomously, with no human in the loop\n* We are starting with veterinary clinics, and are expanding to dental and physical therapy\n* Same-day cancellations trigger automatic outbound calls, filling availabilities on short notice\n* This means: No more hold music, phone trees (”press 1 for x”), or voicemail beeps (sorry if you like listening to jingles for minutes on end 🎶)\n\n### **How you can help ❤️**\n\n* Know someone **who owns a specialty clinic, independently or through a larger corporate/PE?** We would be grateful for an introduction!\n* **Reach out **[**founders@dodo.health**](https://mailto:founders@dodo.health)** or book time on our **[**calendar**](https://dodo.cal.com)**.**\n\n### **Problem: Clinics can’t keep up with their admin work**\n\n* **🫥 Understaffed**: Clinics face labor shortages for administrative tasks, with staff feeling burned out due to long hours and inefficient workflows.\n* **🚆 Undertrained**: One in three medical receptionists leaves their job each year\n* **☎️ Phone-based**: Clinics handle up to 80% of their communication over the phone\n* **⏳ Result**: Bottlenecks in the front- and back-office, as clinics miss calls and clients. They also fail to fill in cancellations on short notice, decreasing efficiency. Callers spend 67% of their call time on hold\n\n### **Solution: AI EMPLOYEES for Specialty Clinics**\n\n* Handling all calls through verticalized AI agents trained on specialty knowledge and receptionists’ manuals (we’re talking literal binders 📚)\n* Interactions with internal software to update patient files, manage schedules, and execute necessary administrative tasks\n* Automatic outbound calls to fill missed appointments on short notice\n\n![uploaded image](/media/?type=post&id=82858&key=user_uploads/1340182/8ce8ac71-be6a-4713-abfb-27bfc9af4e49)\n\n### **👨‍👦‍👦 Meet the Team**\n\nIf you’ve been to a specialty clinic recently, chances are you’ve seen us shadowing their front desk 🕵️‍♂️\n\n![uploaded image](/media/?type=post&id=82858&key=user_uploads/1340182/81442943-c2ec-40c1-a117-1f3dc4f84616)\n\n**Julius** [julius@dodo.health](https://mailto:julius@dodo.health)\\\n<https://www.linkedin.com/in/juliushillebrand/>\n\n**Dominik** [dominik@dodo.health](https://mailto:dominik@dodo.health)\\\n<https://www.linkedin.com/in/dominik-moehrle/>\n\n**Tim** [tim@dodo.health](https://mailto:tim@dodo.health)\\\n<https://www.linkedin.com/in/t-reinhart/>",
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        "title": "GTM & Biz Ops @ Tandem (San Francisco)",
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        "id": 108356,
        "title": "Tandem: Office broker on steroids",
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        "body": "**Tl;dr:** Our agents have seen every office building in the city — they know exactly what’s available, what it’s going to cost you, and how to negotiate the best possible deal. You get human support backed by the best real estate AI anywhere. And it’s all done at no cost to you. Start your search at [tandemspace.com](http://tandemspace.com)\n\n## Why office leasing is broken\n\n**There are thousands of office spaces in a city and no single view of them.** **What exists instead is memory.** A few hundred people, each carrying their own map of the city, built by walking it.\n\nThose maps are good. Brokers who have been doing this for twenty years know their buildings cold, know the landlords, know what a deal should actually cost. **But it's one person's map of a market that changes every week, and there is no version of this job where one person keeps up with all of it.**\n\nSo the process runs on relays. You spend an hour explaining what you need. Your broker spends the week calling the brokers they know, who call the landlords they represent. Eight options come back. You like one. The calls start over. Nobody is doing anything wrong. It just takes days to move a question through a chain of people, and you are one of a dozen searches your broker is running at the same time.\n\nThe economics of this market were built for bigger deals. Commercial leasing grew up around full floors and ten year terms, and everything in it is sized for that. A 3,000 square foot suite on a two year term takes nearly the same work and returns a fraction of it, so smaller spaces get less attention across the board. It's why so many of them go unphotographed, unlisted, and unmentioned. That's most of the market by count.\n\nThe people in this industry are not the problem. This is just what a market looks like when it runs on memory:\n\n**You're seeing only what your broker chooses to show you, prioritized only as much as your deal size warrants, with no way to verify you're getting a fair shake.**\n\n## How Tandem works\n\nOn paper, Tandem is an office leasing brokerage like any other. Same license, same tenant rep fee, same person meeting you in the lobby. **The difference is what that person knows, and how quickly they can act on it.**\n\nEvery Tandem agent works with an agentic brain behind them\\*\\*. It's watching the market constantly: what came available this morning, what a similar unit actually leased for last month, which landlords are flexible on term, what's about to come back online.\\*\\* Knowing the market stops being one person's job, so it doesn't stop when they go home, and it isn't limited to the buildings they've personally walked.\n\nWhat that means for you:\n\n* **You see the whole market on day one**, not on the third callback. Your agent already knows what fits before you finish describing it.\n* **Answers in minutes**, over email, text, or phone, on anything from zoning to what the freight elevator situation is.\n* **You know what it should cost.** Your agent can see what comparable units actually went for, so you go into a negotiation knowing where the number should land.\n* **You don't have to talk to anyone if you don't want to.** The same market is browsable at [tandemspace.com](http://tandemspace.com). Compare asking rents, book a tour for tomorrow, bring your agent in whenever you want them.\n* **A 3,000 square foot requirement gets the same attention as a 30,000 one**, because your agent isn’t paid more for a bigger deal.\n\n**The result: clients who search with Tandem see 30%+ more spaces than in a traditional search, and finish about 6x faster. At no cost to you.**\n\n## Start your search with Tandem\n\nWe’re proud to have placed more than 500 companies into offices, including Cursor, Upwork, Apollo GraphQL. But, we’re even prouder that our average time from first tour to signed lease is 27 days, versus an industry average of \\~180.\n\nIf you’re in the market for an office now or anytime in the future, get started for free at [tandemspace.com](http://tandemspace.com), or email [team@tandem.space](mailto:team@tandem.space).",
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        "votes": 1,
        "created_at": "2026-07-30T06:11:32.292Z"
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        "url": "https://www.ycombinator.com/companies/weave-robotics/jobs/s5aFd66-principal-robotics-software-engineer",
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        "id": 113303,
        "title": "Robotics Software Engineer, Actuator Firmware",
        "url": "https://www.ycombinator.com/companies/weave-robotics/jobs/5R3IdG8-robotics-software-engineer-actuator-firmware",
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        "id": 113304,
        "title": "Robotics Software Engineer, Controls",
        "url": "https://www.ycombinator.com/companies/weave-robotics/jobs/MBM4vz1-robotics-software-engineer-controls",
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        "type": "Full-time",
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        "role_type": "Full stack",
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        "id": 113305,
        "title": "Robotics Software Engineer, Simulation",
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      {
        "id": 113306,
        "title": "Robotics Research Engineer, Teleoperation",
        "url": "https://www.ycombinator.com/companies/weave-robotics/jobs/R0sj2Rf-robotics-research-engineer-teleoperation",
        "location": "San Francisco, CA",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 113307,
        "title": "Electrical Engineer, Motor Controllers",
        "url": "https://www.ycombinator.com/companies/weave-robotics/jobs/8Kuyit2-electrical-engineer-motor-controllers",
        "location": "San Francisco, CA",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$140K - $200K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 113308,
        "title": "Marketing Lead",
        "url": "https://www.ycombinator.com/companies/weave-robotics/jobs/xbk0IKL-marketing-lead",
        "location": "San Francisco, CA",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 113309,
        "title": "ML Research Scientist, Robot Learning",
        "url": "https://www.ycombinator.com/companies/weave-robotics/jobs/M4ptUxw-ml-research-scientist-robot-learning",
        "location": "San Francisco, CA",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$180K - $250K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 113310,
        "title": "Senior Security Engineer",
        "url": "https://www.ycombinator.com/companies/weave-robotics/jobs/PM6haQS-senior-security-engineer",
        "location": "San Francisco, CA",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$140K - $200K",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 113311,
        "title": "Mechatronics Engineer",
        "url": "https://www.ycombinator.com/companies/weave-robotics/jobs/sw7JHXx-mechatronics-engineer",
        "location": "San Francisco, CA",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 113312,
        "title": "ML Research Engineer, Training",
        "url": "https://www.ycombinator.com/companies/weave-robotics/jobs/q6hk8wb-ml-research-engineer-training",
        "location": "San Francisco, CA",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 113313,
        "title": "Robotics Systems Engineer, Triage",
        "url": "https://www.ycombinator.com/companies/weave-robotics/jobs/IF1cpyN-robotics-systems-engineer-triage",
        "location": "San Francisco, CA",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 113314,
        "title": "Software Engineer, Cloud Infrastructure",
        "url": "https://www.ycombinator.com/companies/weave-robotics/jobs/5uselwk-software-engineer-cloud-infrastructure",
        "location": "San Francisco, CA",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 113315,
        "title": "UI & Interaction Designer",
        "url": "https://www.ycombinator.com/companies/weave-robotics/jobs/JYLVrMh-ui-interaction-designer",
        "location": "San Francisco, CA",
        "type": "Full-time",
        "role": "Design",
        "role_type": "Web design",
        "salary_range": "$140K - $190K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 113316,
        "title": "ML Research Engineer, Data",
        "url": "https://www.ycombinator.com/companies/weave-robotics/jobs/jXlVhXY-ml-research-engineer-data",
        "location": "San Francisco, CA",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$140K - $200K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 113317,
        "title": "Software Engineer, Applications",
        "url": "https://www.ycombinator.com/companies/weave-robotics/jobs/7Yy29iW-software-engineer-applications",
        "location": "San Francisco, CA",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 113318,
        "title": "Electrical Engineer, Power",
        "url": "https://www.ycombinator.com/companies/weave-robotics/jobs/ZZyiOyV-electrical-engineer-power",
        "location": "San Francisco, CA",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$160K - $210K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 83807,
        "title": "Weave - Making the first personal robot built for the home",
        "tagline": "We're making Isaac, the first personal robot built for the home—and it's shipping soon.",
        "body": "We’re [Evan](https://x.com/alittlemorewine) and [Kaan](https://x.com/kaandogrusoz), the team behind [Weave](https://www.weaverobots.com) and [Isaac](https://youtu.be/ck_r-v-M3ug)!\n\n# **What’s the problem?**\n\nThe average American spends 3.5 years of their life on housework (cleaning, maintenance, laundry) that they don’t want to do.¹ Our customers (and everyone else we’ve spoken to) want to reclaim that time for themselves and their loved ones. Robots that automate this mundane, repetitive work won’t just finally mean that we’re living like the Jetsons; they’ll mean people get months or years of their lives back. \n\nIn order to do much of that work, they have to have a general-purpose design; they have to be capable (i.e., of manipulation across a long tail of tasks), and they have to be safe.\n\n# **We’re building Isaac to help**\n\n[Weave’s](http://www.weaverobots.com/) first robot, Isaac, is the first and only personal robot that meets these requirements for the home and is shipping soon. Isaac will tidy up endless messes, fold laundry, and care for your home while you’re away, and we’re shipping in the fall of 2025.\n\nIsaac acts autonomously when it’s given a voice or text command, or in response to an automation that’s programmed in our app.  When Isaac isn't needed, its camera folds and turns off, its torso lowers, and it stows in the enclosure that's included with every order.\n\nAnd with Remote Op, users can request that Weave remotely operate their Isaac for a task it can't yet do autonomously.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXdou6fZiBlaqLmPZYaHiO8XoV04y8uE_d63ixNrHW2DW_ecQE4i85ub48GDjex5uFYtwIFpSLJcAmVkuQgn7wV5ykNOeF1Ap9rFfRM4z7DPPSZX5c5W0bjIdvOBFu4Vsmon7ll0GO4hYZWvhGlJu1k_B3Mf?key=72VQXwH9xmVDPgNNMBwk-g)\n\n_Collecting data with our first prototype_\n\n# **What we’ve already built**\n\nIn two months, we’ve already:\n\n* assembled our first data collection system and prototype\n* trained Isaac's planner and VLA, combined them with a VLM in our ML pipeline\n* had Isaac autonomously complete its first tasks\n* got our first reservations for Isaac\n\n![uploaded image](/media/?type=post&id=83807&key=user_uploads/725485/9cd72f04-200e-4a90-9e3a-6acaae7ce95c)\n\n# **The team**\n\n[Evan](https://x.com/alittlemorewine) and [Kaan](https://x.com/kaandogrusoz) are best friends and roommates dating back to 2015 and their time at Carnegie Mellon. They're both Apple veterans: Evan most recently was a Lead AI PM who worked on Next-Gen Siri (Apple Intelligence). Before that, he shipped private, large-scale knowledge graphs for on-device personalization and marquee features like Communication Safety (child safety) and Focus modes. Kaan most recently was a manager in ML Robotics research, and before that, he was a staff ML researcher who shipped Double Tap on the Apple Watch and a lead embedded engineer on the iPhone who spent way too many weeks in factories debugging prototype hardware.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXdh7Wl_gmEBCVc60A-R0cd5PwBWjrBkCF9HKq0gXTL4SYXspgWWIU7oV7dSGFoV7HF2iL0HYchz2hKKVn2CkjQZHJ5_z_2Ji3D3MqQhCy2jEXVf9Dv5c1Hi6JTLYlxw6WPc2vz-MyEKKuA0jYyX-yVXmlqc?key=Q5Sj2zozjy8LlCfDX-_V6w)\n\n### **Our asks**\n\nIf you know anyone who would be interested in having their own Isaac, have them check out our [website](http://weaverobots.com/), where they can now reserve one directly!  Each Isaac costs $1000 to reserve and nothing more until we deliver in the fall of 2025.  \n\n\\\nWe’re also happy to talk to interested folks in more detail; reach us at [founders@weaverobots.com](mailto:founders@weaverobots.com).\n\n![uploaded image](/media/?type=post&id=83807&key=user_uploads/89898/27f17550-54e6-45f3-a7e8-7ce70e2c21d5)\n\n¹ <https://data.bls.gov/toppicks?survey=tu>",
        "url": "https://www.ycombinator.com/launches/Lnj-weave-making-the-first-personal-robot-built-for-the-home",
        "votes": 56,
        "created_at": "2024-09-06T02:18:34.657Z"
      }
    ]
  },
  {
    "id": 29693,
    "name": "Gauge",
    "slug": "gauge",
    "former_names": [
      "Bridge"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8a1b74adcd6bfd4193d3eb1b786fb19988505e78.png",
    "website": "https://withgauge.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Agents are leading the next wave of growth for companies like Supabase, Openrouter, Resend, PostHog, Braintrust, and more.\r\n\r\nUnlike chat experiences, Claude Code, Codex, and Cursor are now implementing products autonomously. They are doing so without ever talking to a sales rep or taking a demo.\r\n\r\nGauge runs real chats and coding sessions to help your product get recommended and implemented by AI.",
    "one_liner": "Gauge helps you get recommended and implemented by AI.",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Marketing",
    "launched_at": 1717523721,
    "tags": [
      "SaaS",
      "B2B",
      "Analytics",
      "Marketing",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Active",
    "industries": [
      "B2B",
      "Marketing"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/gauge",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/gauge.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://linkedin.com/company/withgauge",
    "x_url": "https://x.com/gauge_sh",
    "fb_url": null,
    "cb_url": null,
    "github_url": "https://linkedin.com/company/gauge-sh",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8a1b74adcd6bfd4193d3eb1b786fb19988505e78.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
    },
    "founders": [
      {
        "user_id": 323364,
        "full_name": "Caelean Barnes",
        "title": "Founder/CEO",
        "founder_bio": "CEO at Gauge - Agent Led Growth.\n\nWe hep you improve your brand's presence in AI, get recommended by agents, and written into every customer's codebase.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/caelean",
        "x_url": "https://twitter.com/the1024th",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/887275e34b071a0714fd41887538bb298448cc89.jpg"
      },
      {
        "user_id": 231566,
        "full_name": "Evan Doyle",
        "title": "Founder/CTO",
        "founder_bio": "CTO at Gauge - Agent Led Growth\n\nGet mentioned in AI chats, get recommended by coding agents, and get written into every customer's codebase.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/evan-doyle-060b0ab9",
        "x_url": "https://x.com/evandoyleDEV",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/27ab02271f5990357ace7b257906cbf858f4a26c.jpg"
      }
    ],
    "jobs": [
      {
        "id": 85973,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/gauge/jobs/qemTjv7-founding-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$170K - $220K",
        "equity_range": "0.50% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Amazon Web Services (AWS)",
          "PostgreSQL",
          "Python",
          "React",
          "TypeScript",
          "Linux"
        ]
      },
      {
        "id": 92833,
        "title": "Founding Sales",
        "url": "https://www.ycombinator.com/companies/gauge/jobs/juhjUfl-founding-sales",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$150K - $300K",
        "equity_range": "0.10% - 0.50%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 108321,
        "title": "Founding Customer Strategy",
        "url": "https://www.ycombinator.com/companies/gauge/jobs/ufnxGYP-founding-customer-strategy",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Support",
        "role_type": null,
        "salary_range": "$80K - $150K",
        "equity_range": "0.10% - 0.50%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 100013,
        "title": "❓ Gauge Sentiment: See exactly how AI models talk about your brand",
        "tagline": "How is your brand perceived by AI?",
        "body": "Gauge now can tell you exactly how AI models talk about your brand.\n\n  - When put in a head-to-head against your competitors, who wins?\n  - In what ways are AI models bad-mouthing your brand? Talking up your competitors?\n\nGauge analyzes the results of these questions to tell you the exact positives and negatives surfaced.\n\nBeyond that, Gauge can actually trace the source of negativity back to its original destination - whether it be a\ncompetitor website, a social post, or something else.\n\nHere's a quick look at how that works:\n\n<https://www.youtube.com/watch?v=WRfAfOWeS7s>\n\nIf you're interested in learning how AI models talk about your brand, book a time here and we'll show you:\n<https://cal.com/demo/30>\n",
        "url": "https://www.ycombinator.com/launches/Q17-gauge-sentiment-see-exactly-how-ai-models-talk-about-your-brand",
        "votes": 6,
        "created_at": "2026-04-21T19:43:11.277Z"
      },
      {
        "id": 99472,
        "title": "🚀 Gauge gives you visibility into ads in ChatGPT.",
        "tagline": "🚀 Gauge is building the intelligence layer for ChatGPT Ads",
        "body": "Gauge gives you visibility into ads in ChatGPT.\n\nWant to know what ads your competitors are running in ChatGPT? With Gauge, you can now see exactly what ad copy is getting run against any prompt you choose.\n\nGauge is also a single point to manage your ChatGPT ad campaigns. Simply link your API key and get instant insights into your campaigns, ad groups, and performance.\n\nGauge also breaks down everything by spend, impressions, and clicks - calculating CTR and CPC on the fly.\n\nHere’s a quick overview of how it works:\n\n<https://www.youtube.com/watch?v=MTv4z9ShWPE>\n\nAre you running ads in ChatGPT, or interested in seeing how your competitors are? Grab a time with our team and we’ll show you: <https://cal.com/team/gauge/demo>",
        "url": "https://www.ycombinator.com/launches/PsO-gauge-gives-you-visibility-into-ads-in-chatgpt",
        "votes": 8,
        "created_at": "2026-04-06T16:33:16.207Z"
      },
      {
        "id": 98751,
        "title": "🚀 Gauge: Your marketing agent for organic, paid, and AI search",
        "tagline": "A single agent that can do the work of an entire marketing team",
        "body": "With user behavior spreading across traditional and AI search, it’s never been more important to ensure that your brand is the answer. There’s a wealth of data distributed across GA4, GSC, keywords, prompts, ads, and more. This data is incredibly rich, but fragmented and complicated to understand.\n\nGauge unifies all of these data sources into a single agent that can do the work of an entire marketing team. Here’s how it works:\n\n<https://www.youtube.com/watch?v=SxdKlv--Oeo>\n\nWe started by building a best-in-class GEO/AEO platform, with a core focus on getting the right data. We quickly found that data alone isn’t enough. Our users kept asking:\n\n1. How can I make sense of all of this prompt/answer data?\n2. How does it relate to my existing data?\n3. What are the actual things I need to do to move the needle?\n\nOur agent interprets all of your data sources and executes high-value work for you. Gauge can run keyword research, analyze the competition, and track prompts over time for you. Once Gauge has all the data it needs, it can build and execute plans of attack, recommending and drafting focused content. Gauge also lives where you already work, with MCP and Slack bot support.\n\nGauge is already a core part of the marketing stack at some of the best YC companies - Supabase, PostHog, Mux, and more.\n\nIf you’d like to give Gauge a go, you can [try it now for free](https://www.withgauge.com/features/ask-gauge)! We also have a YC discount for 50% off your first month: FRIENDSOFYC\n\nOur main ask is feedback - would love to see you push our agent and make it uncomfortable! What do you want a marketing agent to do for you that it can’t do today?\n\n![uploaded image](/media/?type=post&id=98751&key=user_uploads/323364/04c1c5f3-b97f-4ab7-b69e-e463ac8e7187)\n\n",
        "url": "https://www.ycombinator.com/launches/Pgl-gauge-your-marketing-agent-for-organic-paid-and-ai-search",
        "votes": 16,
        "created_at": "2026-03-12T18:10:29.538Z"
      },
      {
        "id": 90559,
        "title": "Gauge - Show up in more AI answers",
        "tagline": "💡 Gauge helps your company show up in more AI answers",
        "body": "**Gauge helps your company show up more in AI answers.**\n\n### ⚠️ Why should you care?\n\n* [Google searches are falling for the first time ever](https://www.wsj.com/tech/ai/ais-threat-to-google-just-got-real-8280b4ee?utm_source=chatgpt.com) ([and Google itself is moving to AI answers](https://www.theverge.com/news/655930/google-q1-2025-earnings))\n* [Gartner predicts AI chatbots will capture 25% of search volume by next year](https://www.gartner.com/en/newsroom/press-releases/2024-02-19-gartner-predicts-search-engine-volume-will-drop-25-percent-by-2026-due-to-ai-chatbots-and-other-virtual-agents)\n\nWith traffic leaving search, traditional SEO is dying. Our customers are seeing inbound AI traffic **double every quarter**.\n\n### 💡How do we help?\n\nWe measure how often you and your competitors are referenced by AI, and derive insights from changes in the data over time.\n\nLet’s take a look at how this works:\n\nhttps://www.youtube.com/watch?v=HPXcshLuQD4\n\nWe came across this problem through an Open Source Day hosted by YC. There, we heard from a huge range of speakers, including Vercel, Elastic, Resend, and Airbyte. A consistent theme across every speaker was the new inbound they were seeing from ChatGPT.\n\nWe decided to run an experiment: [productrank.ai](http://productrank.ai).\n\n[productrank.ai](http://productrank.ai) lets you search for a topic, and see how the top models rank them. [Check it out here!](https://productrank.ai)\n\nIn just a few weeks, we reached the front page of HN, saw over 40,000 organic users, and found our first design partners.\n\nOur early customers include LendingTree, ChartHop, Resend, Helius, Standard Metrics, and more. If you’re curious in how often AI mentions your brand, [grab 15 minutes here and we’ll show you.](https://cal.com/caelean/15)\n\n### **❓Asks**\n\n* Play around with [**productrank.ai**](http://productrank.ai)!\n* Curious how often AI mentions your brand? [**Grab 15 min here!**](https://cal.com/caelean/15)\n* Know any marketers or SEO specialists? We’d love an intro! [**Send me their name here**](mailto:caelean@withgauge.com)!\n\n![uploaded image](/media/?type=post&id=90559&key=user_uploads/323364/0b94db77-ab63-4470-afb0-6b73c6074965)\n\n",
        "url": "https://www.ycombinator.com/launches/NYd-gauge-show-up-in-more-ai-answers",
        "votes": 28,
        "created_at": "2025-05-20T17:25:21.072Z"
      }
    ]
  },
  {
    "id": 29695,
    "name": "Dench.com",
    "slug": "dench-com",
    "former_names": [
      "Merse",
      "Merse Originals, Inc.",
      "Merse",
      "Dench.com",
      "Dench"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ef306ea6f1d72c351b58047f5bd3c1644904cbd2.png",
    "website": "https://dench.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Dench: AI CRM + Full-Service Deployment\r\n\r\nMost CRMs sell you software and hand you a 200-page setup guide. Dench is different. We're the only CRM that ships with an embedded team: we migrate your data, build your object schema, configure your integrations, train your people, and deploy AI agents that keep your pipeline clean without a Salesforce developer, a RevOps contractor, or a six-month implementation project.\r\n\r\nFrom day one, our team works inside your stack. We pull your existing data out of HubSpot, Salesforce, or whatever spreadsheet graveyard you're currently using, and rebuild it properly in Dench. Custom objects, custom fields, automation rules, integration config across Gmail, Slack, Notion, GitHub, LinkedIn, and 50+ other tools. Everything set up the way your business actually works, not the way a generic CRM template assumes it does.\r\n\r\nThen we train your team. Not a one-hour Zoom and a PDF. Real sessions that build CRM discipline: how to log activity consistently, how to keep data clean, how to use AI agents to do the repetitive work so your reps spend time selling instead of updating fields. Quarterly business reviews keep the system evolving as your pipeline grows.\r\n\r\nThe AI layer is what makes it permanent. Dench agents enrich leads automatically, move deals through stages based on real signals, draft outreach, log interactions, and flag hygiene issues before they compound. Your CRM stays accurate without someone babysitting it.\r\n\r\nNo implementation consultant invoice. No dedicated Salesforce admin headcount. No duct-taped automation stack. One engagement, everything included, starting at $1,500/month.",
    "one_liner": "Workspace for your AI Agents, Build any Workflow.",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1720334032,
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      "Workflow Automation",
      "Open Source",
      "CRM",
      "AI",
      "AI Assistant"
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    "regions": [
      "United States of America",
      "America / Canada",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/dench-com",
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    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/denchcom",
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    "primary_partner": {
      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
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    "founders": [
      {
        "user_id": 990824,
        "full_name": "Mark Rachapoom",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder & CEO of Dench (dench.com); Founded Merse; Vercel AI Accelerator; Previously developed a top-ranking iOS app, reaching #3 on the App Store.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/markrachapoom/",
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        "user_id": 455465,
        "full_name": "Kumar Abhirup",
        "title": "Founder/CTO",
        "founder_bio": "Founder of Dench.com, formerly Merse. Worked alongside Naval Ravikant as engineer at Airchat. Sold my first company Beam (Substack for Texting) at the age of 16.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/kumareth",
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    "jobs": [
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        "id": 78260,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/dench-com/jobs/8WGRwRI-founding-engineer",
        "location": "San Francisco, CA, US / Remote (San Francisco, CA, US; New York, NY, US)",
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        "id": 84562,
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        "location": "US / Remote (US)",
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        "title": "Empathy Meets Efficiency: AI Voice In Law, Healthcare And Collections",
        "url": "https://www.forbes.com/councils/forbestechcouncil/2025/05/29/empathy-meets-efficiency-voice-ai-in-law-healthcare-and-debt-collection/",
        "date": "May 29, 2025"
      },
      {
        "title": "Business Insider - 13 Creator and Influencer Startups to Watch in 2024, According to VCs",
        "url": "https://www.businessinsider.com/promising-creator-economy-influencer-marketing-startups-per-top-vcs-2024-10",
        "date": "Oct 24, 2024"
      },
      {
        "title": "The Journal by Fondo | Merse launches: Netflix for Audio-Visual Comics",
        "url": "https://www.tryfondo.com/blog/merse-launches",
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    "launches": [
      {
        "id": 87857,
        "title": "Dench.com — AI Intake for Law Firms",
        "tagline": "AI Secretary to pre-qualify leads for Law Firms",
        "body": "![uploaded image](/media/?type=post&id=87857&key=user_uploads/455465/eaa1bd7b-f4ac-41db-b30f-10e8ac46f443)\n\n[Dench.com](http://dench.com/) is transforming legal lead qualification with AI voice agents. We’re doing to law firm intake what AI receptionists are doing to customer service—offering real-time lead qualification, 24/7 availability, and seamless CRM integration at a fraction of the cost.\n\nWe help law firms increase revenue by automating intake and monetizing unqualified leads through a compliant referral network.\n\nSince most people here aren’t our target customers, **we’d appreciate introductions to lawyers, legal intake teams, or law firm operators.**\n\nThe fully-managed system that intakes, follows-up with, manages, and updates clients. No human intervention required.\n\n---\n\n## **The Problem**\n\nLaw firms are overpaying for basic answering services that do little more than take messages.\n\n* **Missed after-hours calls:** Most law firms only accept intake during business hours, losing many clients that call after-hours.\n* **Limited Intake Staff:** Not every incoming potential client is vetted and then duly followed up with, because intake staff is already exhausted with a lot of work, and can cost $42K a year per intake specialist.\n* **High costs:** Services like Answering Legal charge $3.91/minute, and Ruby charges $235/month for just 50 minutes, they employ a human sweatshop somewhere in Georgia and sometimes in India which potential clients do not prefer.\n* **Wasted leads:** Many law firms turn away the majority of inbound leads without monetizing them through referrals.\n\n---\n\n## **Our Solution – AI Call Intake with our Lead Referral Network**\n\n![uploaded image](/media/?type=post&id=87857&key=user_uploads/455465/5e7010ea-bb2a-4c8d-a7d0-8a825fbffac3)\n\nDench replaces expensive human receptionists with AI voice agents that:\n\n* **Qualify leads in real-time:** Our NLP-driven AI assesses lead quality during calls, not after.\n* **Offer 24/7 availability:** No missed calls, no lost leads.\n* **Integrate seamlessly with CRMs:** Auto-syncs data to platforms like Clio Grow, eliminating manual entry.\n* **Monetize unqualified leads:** Converts rejected cases into paid referrals through a compliant network. We transfer the call to another AI representing another law firm that handles that kind of cases, and micro-transact the lead live, helping law firm earn for the referred lead.\n* **Schedule Consultations Automagically:** Intake staff would not have to call them back for anything as our AI handles all the followups, payments and everything right up to the end of the pipeline.\n\n---\n\n## **Key Features**\n\n* **Affordable pricing:** $0.99/minute, undercutting traditional services while offering superior automation.\n* **AI lead routing:** Instantly matches callers with the right attorney based on practice area.\n* **Regulatory compliance:** Built to comply with state-specific referral rules, ensuring ethical fee-sharing.\n* **Detailed analytics:** Track call performance, lead quality, and conversion rates.\n* **Automated Scheduling:** Intake specialist would never have to call again later, the AI handles all the followups until the consultation is scheduled.\n\n![uploaded image](/media/?type=post&id=87857&key=user_uploads/455465/e9ee6fdc-c09b-42d9-833f-aaa086c85686)\n\n---\n\n## **Market Opportunity**\n\n* 450,000+ law firms in the U.S.\n* 150,000+ mid-sized firms (5–20 attorneys) — our core target.\n* Average mid-sized firm handles 80–100 calls/month.\n* Law firms in the US spend upwards of $4.5B for managing intake, and $22B in marketing and lead-generation expenses.\n\n**Revenue potential**\n\n* **Bottom-up Revenue Projection:**\n\n  150,000 × $0.99 (per call minute) × 4 (avg duration) × 100 calls x 12 months = **$712.8M ARR**\n* **1% market penetration:** $8.5M ARR\n* **5% market penetration:** $42.6M ARR\n* **10% market penetration:** $85.2M ARR, plus $12M+ from referral fees\n\n---\n\n## **Live Demo**\n\n![uploaded image](/media/?type=post&id=87857&key=user_uploads/455465/5a4800b4-072e-4923-8599-65c83c9bf055)\n\n---\n\n## **Founding Team**\n\n* **Mark Rachapoom:** Co-Founder & CEO of [Dench.com](http://dench.com/). Founded Merse. Vercel AI Accelerator. Developed an app that reached #3 on the App Store.\n* **Kumar Abhirup:** Co-Founder & CTO of [Dench.com](http://dench.com/), Worked alongside Naval Ravikant at Airchat, sold [itsbeam.com](http://itsbeam.com/) at age 16.\n\n---\n\n## **Our Ask**\n\n* **Introductions:** Know any lawyers, legal intake teams, or firm operators? We’d love to meet them. Please introduce them to us. Here’s a blurb you can send them easily:\\\n  “[Dench.com](http://dench.com/) is an AI Intake Specialist Platform that take calls from prospective clients, talks to them (sounds totally human, it laughs, does uhms and aahs), vets them, conflict checks, does follow-ups and books an appointment, or it forwards the call to a human after client pre-qualification.\n\n  They can work after-hours 24x7, they also integrate with Clio/Lawmatics.\n\n  They convert rejected cases into paid referrals through their referral network, to land you huge profits over “wasted” leads.\n\n  For a simple demo, try calling (415) 997-2939 as someone with any legal dispute, property or other variety of issues you can possibly imagine.”\n* **Beta testers:** We’re offering free trials to law firms interested in AI-powered intake.\n\n📧 **Email:** [founders@dench.com](mailto:hey@dench.com)\n\nJoin us in transforming legal lead qualification and full-stack lead generation and management.",
        "url": "https://www.ycombinator.com/launches/Mr3-dench-com-ai-intake-for-law-firms",
        "votes": 50,
        "created_at": "2025-02-20T16:40:07.404Z"
      },
      {
        "id": 82025,
        "title": "Merse: The Netflix for audio-visual comics",
        "tagline": "Comic reader and AI creator with audio effects",
        "body": "![](https://lh7-us.googleusercontent.com/docsz/AD_4nXdBaxrK7CcR3gzn-A00Ocq7nz7Gv5H3RculiBueZTO77gTL_Gw-Fmr-__xZItu9CxLHXoBQltCt2V2jf7XJqBJpx4leYKA8XptCBo0QS-llFeavgHdDdTQkWQ5Zg5HCOdG7Un6hnFNLBv1Zqn-bHc5I93gz?key=qRiSZgvhLfMtdDoMZNm-xA)\n\n# **⏰ TLDR;**\n\n**WE are the Netflix for Audio-Visual Comics,** with a wide range of premium entertaining content for comic readers.\n\n**YOU** can **HEAR THE CHARACTERS SPEAK** in 6 languages, with immersive soundtracks and crispy audio effects.\n\n**ARTISTS** can **EARN A LIVING** by creating, uploading, publishing, and monetizing comics. With a wide range of characters, voices and soundtracks to choose from. Artists can also generate audio effects and soundtracks at will using Merse AI. Our AI tooling handles text and voice translation of speech bubbles.\n\n**GET THE APP** @ [merse.co](http://merse.co/)\n\n---\n\n---\n\n---\n\n# **⚠️ The Problem**\n\n**Creating comics is a labor-intensive process** that requires significant time and effort.\n\nDespite the popularity of comics, producing them often **takes hours of meticulous work** using tools like Adobe Illustrator, or requires plain drawings. This limits the number of creators who can participate and the volume of content available to readers.\n\nThe comic reading experience has been the same for decades. On the other hand, **readers are looking for new and more immersive experiences.** While static images are the norm, there is a growing demand for interactive content that brings characters and stories to life with character voices and sounds.\n\n---\n\n---\n\n---\n\n# **🫶 Our Solution — Audio-Visual Comics**\n\n[**https://www.youtube.com/watch?v=uidjDsilxms**](https://www.youtube.com/watch?v=uidjDsilxms)\n\nThe Merse platform enables creators to generate high-quality, audio comics quickly and easily, and offers readers an immersive experience. You focus on crafting engaging stories; Merse handles all your tech, distribution, and monetization.\n\n---\n\n# **📸 Features**\n\n**• Generate comics using AI:** Our GenAI features create detailed comic panels from your scripts, creates compelling voices in multiple languages for each speech bubble, with AI generated sound effects, significantly reducing the time from concept to publication.\n\n**• Audio Effects + Soundtracks:** Be it the sound of gulping water, or cracking knuckles, it has it all.\n\n**• Read and Hear in 6 different languages:** 🇮🇳Hindi 🇫🇷French 🇨🇳Chinese\\\n🇯🇵Japanese 🇰🇷Korean 🇺🇸English\n\n**• Monetization options:** Choose how to monetize your content – keep it free, or charge users per episode.\n\n![](https://lh7-us.googleusercontent.com/docsz/AD_4nXd_bJUbA6bx3M3KxAr3qIM5R3W0A7geU2auFE-r1w35sW10EbGwzQrQVX6CtUZbevZVH5spBJFvLvVO91nOrE2QIGe4hoNybDPpr4Ffx36nKv75GLxCm7-chh9TkehdTSUf2JISQdu0etlbY0d74iDjFJvs?key=qRiSZgvhLfMtdDoMZNm-xA)\n\n---\n\n# **🏪 The Market**\n\nThe biggest incumbent in this industry is Naver Webtoons. It’s the YouTube for static, hand-drawn comics. Over 120,000 artists draw and upload their episodes and get paid over $27M for their work, clocking in a revenue of over $1.4B a year and 170M monthly active readers.\n\n---\n\n# **🇺🇸 The Founders**\n\n![](https://lh7-us.googleusercontent.com/docsz/AD_4nXdJDl22TQVliZe38bVqEVmAzhxeTY-H4BiFyI2Z0o2XixgFedjKv1y7nrELdGwiRR3WUXy9q65n4eww-gwuGo_wOeOzTKpQbeLvm0H-hxUTG_QbqdzHgabiC8A3QvAVICKuCI_TRsr51SGmnyPHFfajxKno?key=qRiSZgvhLfMtdDoMZNm-xA)\n\n[**Mark Rachapoom**](https://x.com/markrachapoom)\n\n**CEO of Merse,** 21-year-old founder, an engineer at heart with a great sense of design, college dropout, and fellow at Vercel AI Accelerator. He created Diary Dingo, an iOS journaling app that hit the top 3 in the App Store's Lifestyle category within 24 hours of launch.\n\n[**Kumar Abhirup**](https://twitter.com/kumareth)\n\n**CTO of Merse,** 20-year-old founder, dropped out of high school in Nashik, India, and worked alongside Naval Ravikant as an **Engineer at Airchat**, **1x Exited founder** @ [itsbeam.com](http://itsbeam.com)\n\n---\n\n---\n\n# **🙏 Our Ask**\n\n• **Connect us to creators and readers:** We’re looking to connect with comic artists, writers, and enthusiasts interested in innovative storytelling methods. Please reach us at [hey@merse.co](mailto:hey@merse.co), and we’ll follow up.\n\n• **Create on Merse:** Are you a passionate comic creator looking to transform your storytelling process? Start creating on our platform and own your storytelling journey! Share the comics you love on the Merse feed and on your socials, and help us gauge what content works best.\n\n• **We are looking to seed content:** CONTENT IS KING! It’s important we have a good catalog of content before future launches. If you want to help us with filling Merse up with exciting content, and have ideas, or want to work with us, contact [hey@merse.co](mailto:hey@merse.co)\n\n• **If you have experience going viral on TikTok / Reddit or are a good growth hacker and would love to help us**, contact us.\n\nJoin us in helping artists story-tell with Merse.\n\n![uploaded image](/media/?type=post&id=82025&key=user_uploads/455465/d512f5b4-fb4e-402c-8d0e-c7e82e3e6ed6)\n\n",
        "url": "https://www.ycombinator.com/launches/LKz-merse-the-netflix-for-audio-visual-comics",
        "votes": 27,
        "created_at": "2024-07-10T14:18:03.616Z"
      }
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    "id": 29699,
    "name": "Pulse",
    "slug": "pulse-3",
    "former_names": [
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      "Pulse AI"
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    "website": "https://www.runpulse.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Pulse converts complex information into LLM-ready inputs. Our API supports all document formats, from PDFs to Word, Excel, etc. Pulse integrates seamlessly with any existing data pipeline in minutes without any training or complexity. ",
    "one_liner": "Production-grade unstructured document extraction",
    "team_size": 22,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1720821338,
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    "batch": "Summer 2024",
    "status": "Active",
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/pulse-3",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/pulse-3.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/pulse-ai-corp",
    "x_url": "https://x.com/pulse__AI",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/pulse-ai-ea00",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/04b962a4bd6f50a02f91de8a67e62a48a1f09373.png",
    "app_video_url": null,
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    "company_photos": [],
    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
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    "founders": [
      {
        "user_id": 954117,
        "full_name": "Sid Manchkanti",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder/CEO of Pulse (S24). Prev NVIDIA, D.E. Shaw, Berkeley CS",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/sidmanchkanti/",
        "x_url": "https://x.com/sid_mnk",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2d3fe9504bc17a4a69e077a5bab6fba104627e51.jpg"
      },
      {
        "user_id": 1979575,
        "full_name": "Ritvik Pandey",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder/CTO of Pulse (S24). Prev Tesla ML, Goldman Sachs, Georgia Tech CS/Math",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ritvikpandey22/",
        "x_url": "https://twitter.com/ritvikpandey21",
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        "id": 79495,
        "title": "Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/pulse-3/jobs/v5CgKQG-forward-deployed-engineer",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
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        "title": "Software Engineer",
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        "location": "San Francisco",
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        "title": "Machine Learning Engineer",
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        "location": "San Francisco",
        "type": "Full-time",
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        "url": "https://www.ycombinator.com/companies/pulse-3/jobs/9UxFE8b-software-engineer-inference",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
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        "title": "Design Engineer",
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        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$110K - $150K",
        "equity_range": "",
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      },
      {
        "id": 79502,
        "title": "Account Executive",
        "url": "https://www.ycombinator.com/companies/pulse-3/jobs/Ohcm7TJ-account-executive",
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        "body": "Hey everyone, we’re Sid and Ritvik — the founders of [Pulse AI.](https://www.trypulse.ai/)\n\nWe first developed this API for a very specific use case in supply chain and got it to work across various unstructured documents used in the field. We were simply unable to find another solution on the market that worked well. Our original plan was to keep it in-house, but we soon started getting requests from dozens of companies to use this API on their own. \n\n# **❌ The Problem**\n\n**Most enterprise data is unstructured, making it difficult to parse with LLMs**\n\nApproximately 75% of enterprise data is unstructured, the majority of this is directly within PDF files. This makes it extremely difficult to build RAG applications with this data, and ingestion is often the bottleneck.\n\n**Current solutions are slow, inaccurate, and expensive**\n\nWe personally tested nearly every other tool on the market and found they lack accurate contextual understanding, multi-column PDFs, and multimodal documents. Most of the current technologies are simply wrappers on Textract or Gemini — which have their own inherent flaws. \n\n# **✅ The Solution**\n\n**Pulse STUDIO Vision API, a SOTA document/spreadsheet vision model** \n\nWe’ve trained our own set of Vision Language Models (VLMs) and OCR techniques to bridge this gap. We achieved what we think to be a state-of-the-art (SOTA) vision model for documents and spreadsheets. You’ll get bounding boxes across your documents and spreadsheets, alongside incredible OCR on tables and graphs. \n\nWe’re also actively working on a novel reasoning tool on spreadsheets using this technology – stay tuned!\n\n![uploaded image](/media/?type=post&id=84833&key=user_uploads/954117/61283c46-e471-4053-b80f-30fa7025981e)\n\n# **🧩 Team**\n\nThe founding team has deep machine learning experience at Tesla, NVIDIA, D. E. Shaw, and AWS — as well as research experience at world-class AI labs at Berkeley and Georgia Tech.\n\n# **🙋Our Ask**\n\nOur API is deployed in companies across hardware, healthcare, manufacturing industries and more. We’re expanding rapidly! [Fill out this form for access](https://studio.trypulse.ai/signup) and we will reach out within 24 hours with playground access. More info on the product page [here](https://studio.trypulse.ai/). \\\nPlease share this post, as you never know who it may help! Feel free to contact us directly at [sid@trypulse.ai](mailto:sid@trypulse.ai) if you would like to try it out and follow us on [Linkedin](https://www.linkedin.com/company/pulse-ai-corp/).",
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        "title": "Lighthouz AI: AI to automate collections for freight brokers and 3PLs",
        "tagline": "Freight brokers and 3PLs collect what they're owed 5-8 days faster — without adding headcount to AR",
        "body": "Freight brokers and 3PLs run lean accounting teams that spend their days chasing money that's already earned. Every unpaid invoice means emailing a customer, checking a portal, following up again a week later, and manually deciding which accounts are actually at risk — work that scales linearly with headcount and doesn't get easier as a book of business grows. DSO creeps up not because customers refuse to pay, but because no one has time to chase every invoice consistently.\n\nLighthouz built Lucie, an AI collections agent purpose-built for freight finance. Lucie works customer accounts the way a best-in-class AR analyst would, just continuously and across every account at once:\n\n* Email Collections Agent — drafts and sends context-aware payment reminders and follow-ups, escalating tone as invoices age\n* Portal Collections Agent — logs into customer payment portals to check status and submit documentation, so nothing stalls waiting on a portal check\n* Collections Work Queue — surfaces the accounts that actually need a human, with full context, instead of a flat list of overdue invoices\n* AR Risk Dashboard — flags at-risk accounts early using payment-behavior signals, before they become write-offs\n\nEvery action Lucie takes is visible to the AR team, with clear ownership indicators showing what's automated and what's waiting on a person — collections teams stay in control of the relationship, they just stop doing the busywork.\n\nFounders:\n\nSrijan and Sonali are married co-founders who met at IIT during undergrad and bring 15+ years of combined AI and supply chain experience. Srijan was a CS professor at Georgia Tech, a former Google research scientist, and a Stanford postdoc with 60+ publications. Sonali spent a decade as an AI/data engineer in fintech and insurance, including at Halliburton, Progressive, and American Family.\n\nKey Metrics:\n\n* DSO reduction: 5-8 days faster to collect\n* 30%-50% reduction in overdues \n* 45% of collections touches now automated\n* One AR specialist manages 2x more accounts\n\nTraction:\n\nLighthouz already powers finance operations of 40+ freight brokers and 3PLs, including Hoplite Logistics, Southern Reins Logistics, ADL, and NAD Logistics. Lighthouz AI has won the TIA 2025 and 2026 Technovator Awards.",
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        "title": "Lighthouz AI: AI to automate AP and AR for freight brokers and 3PLs",
        "tagline": "3PLs invoice customers within 24 hours of delivery & get paid 5 days faster",
        "body": "https://www.youtube.com/watch?v=SNdu7kqN0MY\n\nFreight brokers and 3PLs still run AP and AR manually.\n\nAccounting teams spend days processing carrier bills, chasing missing PODs, delaying customer invoicing, and collections efforts. Cash flow stagnates. Before Lighthouz, teams typically take 3–5 days to approve carrier bills and send customer invoices — and still miss errors like duplicate payments and invalid accessorials.\n\n**At Lighthouz, we’ve built freight-native AI agents to automate AP and AR for brokers and 3PLs. With Lighthouz, brokers are invoicing customers within 24 hours of delivery and reduce days-to-get-paid by 5 days.** \n\n### **Who we are**\n\nWe’re **Srijan and Sonali**, the founders of **Lighthouz AI**. We’re part of YC S24. \n\nWe met a decade ago during undergrad at **IIT**, have been building together ever since, and have been married for 5+ years. Srijan and Sonali have 15+ years of combined experience in AI and supply chain, building AI systems for companies like Halliburton, The Home Depot, Google, and more. \n\n* **Srijan** an award-winning AI scientist with **60+ publications and 6,000+ citations**.  He’s been a **CS professor at Georgia Tech**, an **ex-research scientist at Google**, completed his **postdoc at Stanford**, and earned his **PhD from the University of Maryland**.\n* **Sonali** is a former **Lead AI Engineer** at **Halliburton**, **Progressive Insurance, and American Family**, specializing in **unstructured data** and building production-grade AI systems from scratch. She earned her **MS from the University of Washington**.\n\nWe’ve spent our careers building and deploying AI for complex, messy real-world data — which is exactly what freight finance looks like.\n\n### **What Lighthouz AI does**\n\nLighthouz handles the entire freight billing workflow:\n\n✅ Ingests **carrier bills, PODs, BOLs, lumpers, and invoices** from email and uploads\n\n✅ Extracts and structures **all freight data** — rates, accessorials, remit-to, signatures, handwritten notes\n\n✅ Verifies carrier bills against **rate confirmations / quotes**\n\n✅ Detects exceptions like **duplicates, overbilling, missing PODs, wrong factors, and invalid accessorials**\n\n✅ Auto-approves clean bills and routes **only true exceptions**\n\n✅ Approves and submits **customer invoices within 24 hours of delivery**\n\n✅ Sends automated **collections reminders** to customers pre- and post-due date \n\n✅ Creates a work queue for human collectors \n\n✅ Posts clean, validated data directly into the **TMS with full audit trails**\n\n### **Why this matters**\n\nManual AP/AR quietly kills cash flow in freight. Before Lighthouz, teams typically take **3–5 days** to approve carrier bills and send customer invoices — and still miss errors like duplicate payments and invalid accessorials.\n\nWith Lighthouz:\n\n* Processing time drops from **3–5 days → &lt;24 hours**\n* Days to get payment from customers reduces by 5 days \n* One AP specialist can process **4–5x more volume**\n* Errors and rework drop dramatically\n* Teams scale without adding headcount\n\nThis isn’t generic automation. Lighthouz is freight-native, built for multi-stop loads, multi-document PDFs, missing pages, rotated scans, handwritten notes, and factoring response workflows.\n\n### **Where we are**\n\nWe are already working with leading freight brokers and 3PLs in the US and Canada. \n\n**Ask** ❤️\n\nIf you know freight brokers or 3PLs, please introduce us!",
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        "title": "Kastle - AI servicing for mortgage lending",
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        "body": "**✨** **TL;DR**\n\n[Kastle](https://kastle.ai/) builds AI voice and SMS agents for mortgage lending. We help lenders collect payments, answer loan questions, and qualify new loan inquiries using an AI team member.\n\n**❌  The Problem**\n\nMortgage servicers don’t have enough support agents to collect payments and answer customer questions. This leads to\n\n* Borrowers waiting in long queues just to make their payment or get a question answered.\n* Existing agents working long hours and multi-tasking to get through the queue. This leads to poor service and loss in repeat business for lenders.\n\nSince the call volume varies throughout the week, mortgage servicers are unable to scale their support agent team to meet the additional demand, leading to high average response times and unhappy loan investors.\n\n**🏰** **Enter Kastle**\n\n[Kastle](https://kastle.ai/) automates calls to collect payments and answer escrow questions, using AI voice agents. This helps lenders provide 24/7 service to customers, drive upsells, reduce call center costs by 90%, and ensure no borrower ever waits in line to make a payment or answer a question about their loan.\n\n[Checkout Kastle's AI voice agent](https://youtu.be/iOe4LQuf7u8)\n\nWe seamlessly integrate with a lender’s mortgage servicing system and telephony system to perform actions, leave loan comments, and route calls back to live agents if needed. Lenders can use pre-built action blocks to configure the AI agent.\n\n![uploaded image](/media/?type=post&id=83146&key=user_uploads/335581/4ea2b39a-8c4a-4a83-9b0a-58019654465d)\n\nKastle also automatically scores each AI call against a lender’s quality framework to ensure regulatory compliance.\n\n![uploaded image](/media/?type=post&id=83146&key=user_uploads/335581/3dba69f5-c37b-475e-93ce-e85ba8697d4b)\n\n**🤝 Team**\n\nWe’re Rishi and Nitish and we met at UIUC while studying engineering and computer science.\n\n* [Rishi](https://www.linkedin.com/in/choudharyrishi/) (CEO) led Redfin's Mortgage Marketplace team as a Product Manager and realized traditional mortgage lenders didn't have the infrastructure to service online inquiries and were losing customers. He also led Redfin's Search Experience team, which is responsible for 80% of the company's traffic, and is passionate about serving homeowners.\n* [Nitish](https://www.linkedin.com/in/nitish-poddar/) (CTO) was a tech lead at Verkada, where he led development for a patented motion search system and built out the entire backend inference infrastructure. He also led the firmware delivery team on a new fleet management system and led engineering for Incident Management, Verkada's newest product line.\n\n![uploaded image](/media/?type=post&id=83146&key=user_uploads/335581/22bcf4ca-fe9b-44b5-acfd-deb02440be61)\n\n**🙏 Ask**\n\n* **Please introduce us to any mortgage servicing or default management executives.**\n* \\*\\*If you’re a lender or sub-servicer looking to reduce costs and better retain customers, please [**book a demo here**](https://calendly.com/rishi_c/demo) or email us at \\*\\*[**rishi@kastle.ai**](mailto:rishi@kastle.ai)",
        "url": "https://www.ycombinator.com/launches/Ld4-kastle-ai-servicing-for-mortgage-lending",
        "votes": 40,
        "created_at": "2024-08-17T01:26:50.003Z"
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        "title": "Conveo - Qualitative research conducted and analyzed by AI",
        "tagline": "Better understand your customer with AI-moderated voice and video interviews.",
        "body": "### **TL;DR**\n\nWe’re [Ben](https://www.linkedin.com/in/bendesmet1/), [Hendrik](https://www.linkedin.com/in/hendrik-van-hove/), and [Dieter](https://www.linkedin.com/in/dieterdemesmaeker/). We founded [Conveo](https://conveo.ai/) to reimagine how businesses gather deep customer insights. Our platform uses AI to conduct and analyze voice and video interviews, delivering faster, deeper, and more scalable insights.\n\n![uploaded image](/media/?type=post&id=83007&key=user_uploads/1986314/b846f684-c323-4041-bb81-36b012e98350)\n\n### **The Problem:**\n\n---\n\nToday, it’s near impossible for companies to gather deep insights at scale. Surveys lack the depth needed to truly understand your customer. Traditional qualitative methods, like interviews and focus groups, are slow, resource-heavy, and just plain cumbersome.\n\n### **The Solution:**\n\n[Conveo](https://conveo.ai/) is a qualitative research platform that uses AI to conduct and analyze voice and video interviews, delivering actionable insights within hours, not weeks.\n\n### **How You Can Help:**\n\n* **Share this post!** Help us spread the word—your network might just have the connections we need. Embrace the power of serendipity!\n* **Introductions:** Know someone in market research, CMI, marketing, product, or user research teams? Or perhaps someone in a market research or consulting agency? We’d love a warm introduction.\n* **Try It Out:** Are you a YC startup in need of user feedback? We’re offering 50 free interviews in exchange for your feedback. Plus, coffee’s on us! ☕️\n\n  \\* _quick blurb to copy & paste at the bottom_\n\n### **How It Works:**\n\n<https://www.youtube.com/watch?v=dDStJXSFuCo>\n\n1. **Get Started:** Upload your discussion guide, choose from a template, or let AI create one for you.\n2. **Distribute:** Share the interview link with your customers, or leverage our integrated B2C and B2B panels.\n3. **Engage:** Let AI moderate video and voice interviews in any language, adapting dynamically to each conversation.\n4. **Analyze:** Watch and learn as AI processes and summarizes hundreds of interviews, surfacing key themes, quotes, and insights.\n5. **Share & Socialize:** Share insights across your organization easily from within the platform.\n\n### **Who’s it for:**\n\n[Conveo](https://conveo.ai/) is designed for **in-house teams**—marketers, product managers, user researchers, and market researchers—as well as for **market research and creative agencies**. If you need deeper insights, faster, [Conveo](https://conveo.ai/) is for you.\n\n### **Our Story:**\n\nOnce upon a time, at DataCamp and McKinsey, we faced the same challenges many companies do today—trying to gather and analyze customer insights quickly and effectively. After banging our heads against the wall one too many times, we decided there had to be a better way. And so, [Conveo](https://conveo.ai/) was born. **Because who needs a wall when you have AI?**\n\n### **Our Mission:**\n\nTo enable companies to build the best possible experiences, products, and services based on profound consumer understanding.\n\n\\* [_Conveo_](https://conveo.ai/) is an AI-powered qualitative research platform that helps businesses gather deep customer insights at scale. They use AI to conduct and analyze voice and video interviews. Reach out to them at [_hello@conveo.ai_](mailto:hello@conveo.ai)",
        "url": "https://www.ycombinator.com/launches/Lap-conveo-qualitative-research-conducted-and-analyzed-by-ai",
        "votes": 20,
        "created_at": "2024-08-13T20:09:56.426Z"
      }
    ]
  },
  {
    "id": 29719,
    "name": "cmux",
    "slug": "cmux",
    "former_names": [
      "Manaflow"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f240894ee1866a817f8d66f9ed82314520294cbf.png",
    "website": "https://www.cmux.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "An open source native macOS terminal built on Ghostty. Vertical tabs, notification rings when agents need attention, split panes, and a CLI for programmability.",
    "one_liner": "Open source applied AI lab building next-gen devtools",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1715992295,
    "tags": [
      "Developer Tools",
      "Open Source",
      "AI"
    ],
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    "batch": "Summer 2024",
    "status": "Active",
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      "America / Canada"
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    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/cmux.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/manaflow-ai",
    "x_url": "https://x.com/manaflowai",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/manaflow",
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        "user_id": 760906,
        "full_name": "Austin Wang",
        "title": "Founder",
        "founder_bio": "Building cmux.com, the open source terminal built for coding agents.\nCo-founder & CEO @ cmux / Physics @ Yale / Prev @ NASA JPL, Chess.com",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/austinwang115/",
        "x_url": "https://x.com/austinywang",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/782676cba6b43bd804a55747bbfa4dbd0b710295.jpg"
      },
      {
        "user_id": 785834,
        "full_name": "Lawrence Chen",
        "title": "Founder",
        "founder_bio": "Building cmux.com, the open source terminal built for coding agents\nCo-founder of Manaflow / prev. Minion AI / Berkeley '24",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/lawrencecchen/",
        "x_url": "https://x.com/lawrencecchen",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/983aa7cd00c0de514791fbb01a7830670d86f7e0.jpg"
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      {
        "id": 106824,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/cmux/jobs/RcX3bDA-founding-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$130K - $170K",
        "equity_range": "0.50% - 1.50%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 106825,
        "title": "Founding Designer",
        "url": "https://www.ycombinator.com/companies/cmux/jobs/p21OZLR-founding-designer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Design",
        "role_type": "Product design",
        "salary_range": "$130K - $170K",
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        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
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      },
      {
        "id": 107990,
        "title": "Founding Chromium Engineer",
        "url": "https://www.ycombinator.com/companies/cmux/jobs/T4rJNKX-founding-chromium-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
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    "launches": [
      {
        "id": 98405,
        "title": "cmux: the open source terminal built for coding agents",
        "tagline": "Native macOS Ghostty-based terminal with vertical tabs, notifications, and built-in browser",
        "body": "**TL;DR**\n\ncmux is a Ghostty-based terminal with vertical tabs, notifications, and in-app browser, built for multitasking with coding agents.\n\ncmux is trusted by thousands of builders from Nvidia, Google, OpenAI, and more. In two weeks, we’ve gained 3.5k GitHub stars.\n\n<https://github.com/manaflow-ai/cmux>\n\n<https://www.youtube.com/watch?v=i-WxO5YUTOs>\n\n**Hey, we’re Austin and Lawrence.**\n\nThe future is pointing towards an IDE-less world. In fact, the best engineers have already stopped using VS Code and Cursor.\n\nBoris Cherny, the creator of Claude Code, has not opened an IDE since last November. No one knows what the best workflow looks like yet, but it has never been more urgent to experiment with AI or be left behind.\n\nBut our current tools aren’t built for this. If you try running multiple Claude Code or Codex sessions in a standard terminal, you’ll find yourself in the midst of chaos. On the flip side, GUI orchestrators lock you in and lack the flexibility for experimentation.\n\n**That’s why we built cmux: an open-source terminal primitive for exploring the future of agent-driven workflows.**\n\n![uploaded image](/media/?type=post&id=98405&key=user_uploads/760906/db7fb781-3b9c-464d-9363-8f25a7b4aa3c)\n\nWe wanted a lightning-fast native macOS (Swift/AppKit) terminal with features you need for managing fleets of coding agents:\n\n* Vertical tabs\n* Blue rings around panes that need attention\n* Built-in browser\n* Based on Ghostty\n\n![uploaded image](/media/?type=post&id=98405&key=user_uploads/760906/3128b3c6-1fba-4b9c-a287-13ef7c2d04ce)\n\n![uploaded image](/media/?type=post&id=98405&key=user_uploads/760906/0e4d8185-428a-458d-9b92-987a7189f889)\n\n![uploaded image](/media/?type=post&id=98405&key=user_uploads/760906/2d0b0af2-5317-419a-84af-c920874d961d)\n\ncmux also has a built-in CLI that allows coding agents to command cmux’s browser, create new workspaces, and start off other agents in new terminals. AI can use cmux exactly like you would.\\\n\\\n<https://www.youtube.com/watch?v=XKc1cVCFLDQ>\n\n**The zen of cmux**\n\ncmux is not prescriptive about how developers hold their tools. It's a terminal and browser with a CLI, and the rest is up to you.\n\ncmux is a primitive, not a solution. It gives you a terminal, a browser, notifications, workspaces, splits, tabs, and a CLI to control all of it. cmux doesn't force you into an opinionated way to use coding agents. What you build with the primitives is yours.\n\nThe best developers have always built their own tools. Nobody has figured out the best way to work with agents yet, and the teams building closed products definitely haven't either. The developers closest to their own codebases will figure it out first.\n\nGive a million developers composable primitives and they'll collectively find the most efficient workflows faster than any product team could design top-down.\n\ncmux is free, open-source (AGPL), and already trusted by thousands of builders from Nvidia, Google, OpenAI, and more. Developers build or port their own custom harnesses and orchestrators on top of cmux.\n\n<https://github.com/manaflow-ai/cmux>\n\n**Traction**\n\nIn two weeks, cmux grew from zero to 3.5k GitHub stars.\n\n![uploaded image](/media/?type=post&id=98405&key=user_uploads/760906/67e21a8c-3bc8-44e2-b310-9584a238775b)\n\nWe peaked at #2 on Hacker News: <https://news.ycombinator.com/item?id=47079718>\n\n![uploaded image](/media/?type=post&id=98405&key=user_uploads/760906/97569e3c-fdf9-4955-a675-4b64cc0919c2)\n\nOur X launch went viral: <https://x.com/lawrencecchen/status/2026729219154378912>\n\n![uploaded image](/media/?type=post&id=98405&key=user_uploads/760906/829277d1-b53c-4800-9f5c-1f449b2bbe62)\n\nMitchell Hashimoto, the creator of Ghostty and founder of HashiCorp, shouted out cmux on X.\n\n![uploaded image](/media/?type=post&id=98405&key=user_uploads/760906/ad536752-35d4-4ee0-9282-06d3a8feca23)\n\nNick Schrock, the creator of Dagster and GraphQL:\n\n![uploaded image](/media/?type=post&id=98405&key=user_uploads/760906/000699e9-4c69-471c-9096-678bd2ccd121)\n\nEdward Grefenstette, Director of Research at Google DeepMind:\n\n![uploaded image](/media/?type=post&id=98405&key=user_uploads/760906/e9c2b0b5-a3f5-4cee-bf61-87411a167143)\n\nMany Japanese fans:\n\n![uploaded image](/media/?type=post&id=98405&key=user_uploads/760906/4aa84dec-c312-4ad9-af6e-db89184e2f2f)\n\n**How you can help**\n\nStar our GitHub repo: <https://github.com/manaflow-ai/cmux>\n\nTry cmux: [https://www.cmux.com/](https://www.cmux.dev/) \n\nShare cmux with your friends: send feedback to [founders@manaflow.ai](mailto:founders@manaflow.ai).",
        "url": "https://www.ycombinator.com/launches/PbB-cmux-the-open-source-terminal-built-for-coding-agents",
        "votes": 735,
        "created_at": "2026-03-03T17:31:16.700Z"
      },
      {
        "id": 82289,
        "title": "Manaflow - Build and manage your dream AI operations team",
        "tagline": "Automate workflows involving data analysis, API calls, and business actions. ",
        "body": "### **🛎️ TL;DR**\n\n* [**Manaflow**](https://manaflow.ai/) empowers **operation managers** to automate workflows involving data analysis, API calls, and business actions.\n* You can **command Manaflow agents in English** to execute recurring tasks and manage them on a spreadsheet interface. \n* Think of us as an **AI-first Zapier alternative** but with natural language and spreadsheets. \n* **Frustrated with repetitive manual tasks** in your business? We’ll automate them all for you. [**Let’s chat**](https://cal.com/team/manaflow/meeting)**.**\n\n### **🗂️ The Problem: Too much Excel, too much manual stuff, too much repetition**\n\nAre you tired of **juggling countless Excel files and manual workflows for your business**? Do these workflows prevent your business from scaling up?\n\nAfter **conducting over 250 calls**, we've discovered a recurring problem: **small-to-mid-sized businesses (SMBs)** rely heavily on folders of Excel files and third-party apps to **manually execute their day-to-day operations**, which is **time-consuming, error-prone, and a huge bottleneck to scaling**. \n\nFor instance, in freight forwarders, operations include managing client communications, inventory oversight, and coordinating delivery schedules, most of which are done manually. These **manual processes** not only **decelerate business growth** but also **heighten the risk of mistakes**.\n\nToday’s operation managers are blocked by a lack of **technical knowledge,** **customization,** **and** **simplicity** in current workflow automation builders.\n\n### **💡 Introducing MANAFLOW: Automate operations workflows with AI**\n\nWe are building **Manaflow** specifically for **underdog SMBs to scale** like their tech-enabled, big corporation counterparts, transforming manual spreadsheet and software tasks into **automated end-to-end workflows**.\n\nThe ideal way to execute workflows is not for a human to manually operate Excel sheets or interface with different software apps but for a human to **merely click a button**. \n\n**AI can own end-to-end technical workflows** and convert them into features, while **humans can oversee** them, update them as the business evolves, and tackle higher-level automations. Let’s see this in **action**.\n\n### **📕 Building a Basic Workflow on Manaflow**\n\nWe’ll begin by building a fun, basic workflow on Manaflow to **send payment reminders to clients** via email.\n\n[Manaflow Demo: Building Sending Payment Reminders Workflow](https://www.youtube.com/watch?v=TGbJN7pNb30)\n\nNext, we’ll go into more specific examples of potential use cases for business customers.\n\n### **📸 Manaflow Workflow #1: Watermark videos and send them to your clients via Gmail**\n\nOne of our customers uses Manaflow to take in unpolished videos from Google Drive, process them, watermark them with their logo, and then email the final products to their clients — **all in one click of a button**. \n\n[Manaflow Demo: Watermarking Video Workflow](https://www.youtube.com/watch?v=tTTTRrzICVg)\n\nThis has **cut their** **20-hour weekly manual workflow down to 20 minutes**, and Manaflow has become a core part of their operations.\n\n### **🛻 Manaflow Workflow #2: Find and email truckers for your shipment logistics**\n\nAnother customer uses Manaflow to find and email local trucking companies based on the shipment origin and final destination. \n\n[Manaflow Demo: Finding Truckers for Logistics Workflow](https://www.youtube.com/watch?v=9GsBHG3zm_I)\n\nThis has allowed them to gather rate quotations faster for their clients and has **reduced their manual operations by over 50%.**\n\n### **🙌 One more thing: Collaborate with all stakeholders, including us, to build automations**\n\nThere are countless workflow automations that you can build on Manaflow. We understand that people have many different ideas and love working in teams. So, we made **real-time collaboration** so all of you can build and automate workflows together on Manaflow.\n\n![uploaded image](/media/?type=post&id=82289&key=user_uploads/760906/1e1b585b-aa0e-4fa6-abf9-c3774e9bdfba)\n\nPartnering with us, you will also have **24/7 access to Manaflow’s engineering support staff.**\n\n### 👥 **OUR TEAM**\n\n[**Austin Wang**](https://www.linkedin.com/in/austinwang115/): Yale Physics, CS & Econ; Prev. SWE @ Google, NASA JPL, Chess.com, ML @ Datacy\\\n[**Lawrence Chen**](https://www.linkedin.com/in/lawrencecchen/): Berkeley CS; Prev. Founding Eng @ Minion AI, Berkeley RISE Lab\\\n[**Wesley Tjangnaka**](https://www.linkedin.com/in/wesleytjangnaka/): Stanford Math & CS; Prev. Stanford AI Research, ML @ Juniper Networks\n\n![uploaded image](/media/?type=post&id=82289&key=user_uploads/89898/2d6a0806-b347-4d6d-ac7f-cc69dae86325)\n\n**🙏 Our Ask**\n\n**If you are or know any** **operation managers or businesses** **that run on spreadsheets**, **please let us know or schedule a time with us** [**here**](https://cal.com/team/manaflow/meeting). Any intros or shoutouts would be super awesome and greatly appreciated.\n\nWe’d really appreciate a like and subscribe on our [YouTube](https://www.youtube.com/channel/UCAa89_j-TWkrXfk9A3CbASw), a follow on our [Twitter](https://x.com/manaflowai) and [LinkedIn](https://www.linkedin.com/company/manaflow-ai/), and some feedback on our [product](https://manaflow.ai/). \\\n\\\nThank you!",
        "url": "https://www.ycombinator.com/launches/LPF-manaflow-build-and-manage-your-dream-ai-operations-team",
        "votes": 918,
        "created_at": "2024-07-19T22:13:47.678Z"
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    "name": "Clearly AI",
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    "all_locations": "Seattle, WA, USA",
    "long_description": "Clearly AI automates security and privacy reviews with AI. We performed hundreds of reviews at Amazon and Moveworks and now we're building the product we wish we had. Our users complete reviews in minutes instead of days.\r\n\r\nEmily and Joe are technical co-founders and senior engineers. We met in 2019 while working on an Alexa security review.",
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      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
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    "founders": [
      {
        "user_id": 1848263,
        "full_name": "Emily Choi-Greene",
        "title": "Founder/CEO",
        "founder_bio": "Founder/CEO at Clearly AI.  Previously, Emily owned data security and privacy at Moveworks. Before that, she spent 5 years at Amazon, where she led Alexa AI Security. Emily performed hundreds of security and privacy reviews, from Moveworks' AI data lifecycle to Alexa's machine learning compute platform (used by 5000+ ML scientists). Emily graduated with High Honors in Computer Science from Dartmouth College.",
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        "linkedin_url": "https://www.linkedin.com/in/emilycgreene/",
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        "user_id": 1848395,
        "full_name": "Joe Choi-Greene",
        "title": "Founder/CTO",
        "founder_bio": "Founder/CTO at Clearly AI. \nPreviously, Joe was a sr. software engineer at Amazon. Joe led the satellite telemetry team at Project Kuiper and built exabyte scale datalakes at Alexa.  \nJoe graduated from Carnegie Mellon University with a degree in computer science.",
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        "id": 90826,
        "title": "Forward Deployed Security Engineer",
        "url": "https://www.ycombinator.com/companies/clearly-ai/jobs/zdixMrj-forward-deployed-security-engineer",
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        "role_type": "Backend",
        "salary_range": "$125K - $175K",
        "equity_range": "0.10% - 0.50%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
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    "news": [
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        "title": "Seattle security startup led by husband-wife duo raises $8.4M – GeekWire",
        "url": "https://www.geekwire.com/2026/seattle-security-startup-led-by-husband-wife-duo-raises-8-4m/",
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      {
        "title": "Okta Announces Finalists for Startup Challenge",
        "url": "https://www.businesswire.com/news/home/20250918072554/en/Okta-Announces-Finalists-for-Startup-Challenge-to-Build-Identity-Security-Applications",
        "date": "Sep 18, 2025"
      },
      {
        "title": "Meet the Winners of the Amazon Bedrock Builders’ Challenge",
        "url": "https://aws.amazon.com/startups/learn/amazon-bedrock-builders-challenge#overview",
        "date": "Mar 11, 2025"
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    "launches": [
      {
        "id": 82990,
        "title": "Clearly AI - Your AI Trust Team",
        "tagline": "Automate security and privacy with AI that understands your software.",
        "body": "**TL;DR:** [Clearly AI](https://clearly-ai.com) continuously reviews your software for security and privacy risks. We keep your compliance paperwork up to date and escalate issues that need attention so that your engineers can focus on more critical work.\n\n### The Problem\n\n* **Burn-out:** Many companies struggle to complete in-depth security reviews due to understaffed teams. The industry average is 1 security engineer per 200 software engineers. There is an overwhelming volume of software and policies to monitor and cross-check.\n* **Fragmentation:** Today, a typical enterprise security review takes 3-4 months to complete. Most of that time is spent gathering information and filling out paperwork. Trust teams operate in silos, leading to redundant questions or delayed risk identification.\n\n### Our Solution\n\n* **Triage:** Review all designs and code for security best practices and regulatory compliance.\n  * **Raise the Ceiling:** Prioritize which applications need deeper review by security & privacy engineers.\n  * **Raise the Floor:** For the rest, perform baseline security & privacy reviews to ensure compliance.\n* **Shift Left:** Bring the collective knowledge of legal, privacy, compliance, and security teams directly to developers from the inception of their work.\n* **Continuous Monitoring:** Real-time, automated checks instead of point-in-time reviews.\n\n![uploaded image](/media/?type=post&id=82990&key=user_uploads/1848263/d98720b6-83d2-42ed-bc4b-5dae8d938410)\n\n### Our Ask\n\nReach out to us if:\n\n* Your security/privacy teams are understaffed and overwhelmed.\n* Security/privacy is critical to your customers (beyond SOC2 certification).\n* You operate across regions with varying privacy regulations, and you need to evaluate and comply.\n\n### Our Offer\n\nGive us your gnarliest security & privacy problems — we’re happy to do a [free consultation](https://calendly.com/emily-cg/security-privacy-consult) and lend our expertise back to the YC community.\n\n### Our Team\n\nEmily & Joe met five years ago while working on an Alexa security review.\n\n* [**Emily**](https://www.linkedin.com/in/emilycgreene/)**:** Senior engineer at Amazon and Moveworks, speaker at USENIX PEPR, expert in privacy-preserving machine learning, featured in the New York Times.\n* [**Joe**](https://www.linkedin.com/in/joseph-choi-cmu)**:** Senior engineer at Amazon, designed and secured spacecraft command software that now orbits Earth, automated data compliance with global regulations like GDPR and HIPAA.\n\n![uploaded image](/media/?type=post&id=82990&key=user_uploads/1848263/d75fc960-831c-41bb-b51a-2a2dc7d0015c)\n\n",
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    "long_description": "At Saturn, our mission is to make financial peace of mind more accessible by building the best operating system for wealth managers. \r\n\r\nWealth and Asset Management is one of the world’s highest revenue-generating industries, yet it remains painfully inefficient. The sector relies heavily on disjointed legacy systems, manual human tasks, and a complex web of intermediaries, all of which increase costs. \r\n\r\nSaturn is an AI-powered operating system for wealth management built to automate investment research, streamline operations, and ensure compliance. Saturn creates the best version of truth, empowering investment advisors to work more efficiently, navigate complex regulatory landscapes, and deliver personalised, high-value services to their clients.\r\n\r\nToday, Saturn supports over 200 firms globally that manage more than £35bn in assets under management (AUM) and over 200,000 clients.\r\n\r\nAs the industry grows, it faces massive operational challenges like bad tech, advisor retirements, regulatory pressure, an increased cost base, and transformational opportunities like great intergenerational wealth transfer and changing consumer needs.\r\n\r\nSaturn aims to be at the forefront of this transformation, driving the future of wealth management.",
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    "team_size": 18,
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    "batch": "Summer 2024",
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    "stage": "Growth",
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        "answer": "Managing wealth and access to financial services will be a standard for all."
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    "url": "https://www.ycombinator.com/companies/saturn",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/saturn.json",
    "year_founded": 2023,
    "city": "London",
    "country": "GB",
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        "full_name": "Amal Jolly",
        "title": "Founder/CEO",
        "founder_bio": "Financial peace of mind enables every human to achieve more; we are on a mission to scale that\n\nExperienced in Product/GTM in Banking, Insurance, Wealth/Asset Management and Capital Markets technologies.",
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        "full_name": "Michael Ettlinger",
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        "linkedin_url": "https://www.linkedin.com/in/michaelettlinger/",
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        "full_name": "Rohit Vaish",
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        "founder_bio": "President & Co-founder at Saturn. \n\nRohit has expertise in building investment portfolios for Wealth Management firms having spent over 5 years at BNY Mellon. Alongside that, he also led firm wide compliance initiatives across the UK fund management company to assess value for money and client suitability. \n\nAfter leaving financial services, Rohit led Product and Operations teams in a variety of startups before founding Saturn. ",
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        "title": "Senior Product Engineer",
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        "location": "London, England, GB",
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        "salary_range": "£90K - £150K GBP",
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      {
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        "url": "https://www.ycombinator.com/companies/saturn/jobs/5Yqfhgl-founding-talent-partner",
        "location": "London, England, GB",
        "type": "Full-time",
        "role": "Recruiting & HR",
        "role_type": "Full cycle",
        "salary_range": "£60K - £100K GBP",
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        "experience": "6+ years",
        "visa": "US citizenship/visa not required",
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      {
        "id": 107399,
        "title": "Staff Product Manager",
        "url": "https://www.ycombinator.com/companies/saturn/jobs/BwKwkZ5-staff-product-manager",
        "location": "London, England, GB",
        "type": "Full-time",
        "role": "Product",
        "role_type": null,
        "salary_range": "£120K - £150K GBP",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
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      {
        "id": 107400,
        "title": "Lead Product Manager",
        "url": "https://www.ycombinator.com/companies/saturn/jobs/UkxWKgo-lead-product-manager",
        "location": "London, England, GB",
        "type": "Full-time",
        "role": "Product",
        "role_type": null,
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        "id": 107401,
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        "url": "https://www.ycombinator.com/companies/saturn/jobs/pj3ssuS-senior-backend-engineer",
        "location": "London, England, GB",
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        "url": "https://www.ycombinator.com/companies/saturn/jobs/t7X9JIR-accounting-associate",
        "location": "London, England, GB",
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        "equity_range": "",
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        "id": 110201,
        "title": "Data Engineer",
        "url": "https://www.ycombinator.com/companies/saturn/jobs/oD1WgWP-data-engineer",
        "location": "London, England, GB",
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        "role": "Engineering",
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        "experience": "3+ years",
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        "id": 110202,
        "title": "Security Engineer",
        "url": "https://www.ycombinator.com/companies/saturn/jobs/OJLrDTi-security-engineer",
        "location": "London, England, GB",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Devops",
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        "experience": "3+ years",
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        "title": "Our $15M Series A To Make Quality Financial Advice Accessible - Saturn | AI for Financial Advice",
        "url": "https://www.saturnos.com/journal/saturn-15m-series-a-to-make-quality-financial-advice-accessible",
        "date": "Oct 22, 2025"
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      {
        "title": "Saturn | 14 wealthtech startups to watch, according to VCs | Sifted",
        "url": "https://sifted.eu/articles/14-wealthtechs-to-watch-according-to-vcs",
        "date": "Feb 16, 2025"
      },
      {
        "title": "How three IFA firms are using AI ",
        "url": "https://citywire.com/new-model-adviser/news/how-three-ifa-firms-are-using-ai/a2458184",
        "date": "Feb 10, 2025"
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        "title": "FEIFA partners with fintech pioneer Saturn | International Adviser",
        "url": "https://international-adviser.com/feifa-partners-with-fintech-pioneer-saturn/",
        "date": "Dec 10, 2024"
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      {
        "title": "How wealth and financial advice firms have embraced AI in 2024 - FTAdviser",
        "url": "https://www.ftadviser.com/adviser-technology/2024/12/4/how-advice-firms-have-embraced-ai-in-2024/",
        "date": "Dec 02, 2024"
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      {
        "id": 83502,
        "title": "🪐 Saturn: Backoffice and Compliance automation for Wealth Managers",
        "tagline": "We help wealth managers be super efficient on investment research, compliance and back-office operations",
        "body": "**tldr:** [Saturn](https://www.saturnos.com/) automates investment research, compliance, and back-office workflows for wealth managers, significantly reducing operational costs and freeing up time to focus on client engagement and growth.\n\n—\n\n---\n\n---\n\n---\n\nHey everyone, we're [Michael](https://www.linkedin.com/in/michaelettlinger/), [Rohit](https://www.linkedin.com/in/rohit-vaish/), and [Amal](https://linkedin.com/in/amaljolly), and we are on a mission to make wealth building more accessible for everyone by making wealth managers more efficient and scalable.\n\n![uploaded image](/media/?type=post&id=83502&key=user_uploads/352395/3ed6ecb3-c388-4a19-ba8d-49b9268f54ad)\n\n🧨 The Problem:\n\n# Servicing a client with compliance and back-office tasks is a time drain\n\nWealth managers spend an inordinate amount of time and resources on manual compliance and administrative tasks. This inefficiency leads to higher operational costs and limits their ability to serve more clients effectively.\n\nTake our client, Jason, as an example. Jason runs a mid-sized advisory firm in Norwich, UK, with over 15,000 clients and spends over 15 hours per client per year on compliance paperwork and back-office management all for doing one check-in a year. \n\nThese manual processes drain his time and increase operational costs. This time and money could be better spent on growing his client base and enhancing client services.\n\n🎉 The Solution:\n\n# Automated AI-powered wealth management operating system built for scale and personalisation\n\n![uploaded image](/media/?type=post&id=83502&key=user_uploads/352395/d23cb6a5-b78d-4494-8b52-4dea6abc4d31)\n\nSaturn helps wealth managers like Jason automate their compliance and back-office tasks, allowing them to focus more on client engagement and growth. Our platform uses AI to streamline processes and ensure real-time compliance, including:\n\n* Personalised investment research  \n* Faster client onboarding \n* Seamless Compliance reporting \n* Client growth & analytics\n\n**Using Saturn, wealth managers:**\n\n✔️ Save over 50% of the time typically spent on compliance and admin tasks  \n\n✔️ Increase operational efficiency, allowing them to offer more services and serve more clients\n\n✔️ Improve personalisation, retention and net revenue from their client\n\n💎 Opportunity:\n\n# Driving the Future of Wealth Management\n\nWealth management firms, like Jason's, waste countless hours and resources on manual compliance and operations—a massive inefficiency across the industry. Saturn is uniquely positioned to eliminate this burden through complete AI powered backoffice automation.\n\nImagine a world where wealth managers can seamlessly guide clients through their entire financial lifecycle, making this service accessible to many more people. This is the future Saturn aims to create.\n\n> Big opportunities like the wealth transfer, growing consumer needs amongst wider demographics requires a more digital and robust system to serve them.\n>\n> The current systems simply cannot scale to serve the need, they are plagued by operational challenges added by bad tech, increasing regulatory pressure, and cost base.\n>\n> This industry is in a dire need of a transformation\n>\n> **Saturn aims to be at the forefront of this transformation, driving the future of wealth management.**\n\n**✅ Progress so far**\n\n1. Grown to serve 200 firms globally\n2. Cashflow positive since month 2 in the market, live since Feb.\n3. Awesome team of 8 people.\n\n👋 **Ask: How you can help**\n\n1. Connect us to wealth managers or financial advisors in your network. [Intro us.](https://mailto:founders@heysaturn.com)\n2. Know any killer engineer or product visionaries with experience in Wealth Tech and Financial Services. [Intro us.](mailto:founders@heysaturn.com)",
        "url": "https://www.ycombinator.com/launches/Lio-saturn-backoffice-and-compliance-automation-for-wealth-managers",
        "votes": 42,
        "created_at": "2024-08-28T14:24:38.046Z"
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    "stage": "Early",
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    "year_founded": 2024,
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    "country": "GB",
    "linkedin_url": "https://www.linkedin.com/company/reactwise",
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        "full_name": "Alexander Pomberger",
        "title": "Founder/CEO",
        "founder_bio": "Alexander holds a PhD in chemical engineering, and has been working at the intersection of machine learning, chemistry and lab automation for the past 5 years. In his research, Alexander developed optimization algorithms to aid in designing manufacturing processes for novel pharmaceuticals. Alexander launched ReactWise to democratize access to AI in pharma & biotech with no-code software.",
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        "linkedin_url": "https://linkedin.com/in/apomberger",
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        "full_name": "Daniel Wigh",
        "title": "Founder/CTO",
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      {
        "id": 115217,
        "title": "Front-End Software Engineer (React/Typescript)",
        "url": "https://www.ycombinator.com/companies/reactwise/jobs/BsNJaEY-front-end-software-engineer-react-typescript",
        "location": "Cambridge, England, GB / Remote (GB)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Frontend",
        "salary_range": "£45K - £60K GBP",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
        "skills": [
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          "TypeScript"
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    ],
    "news": [
      {
        "title": "YC-backed ReactWise is applying AI to speed up drug manufacturing | TechCrunch",
        "url": "https://techcrunch.com/2025/03/17/yc-backed-reactwise-is-applying-ai-to-speed-up-drug-manufacturing/",
        "date": "Mar 17, 2025"
      },
      {
        "title": "ReactWise Raises $3.4M to Transform Big Pharma with AI and Self-driving Labs",
        "url": "https://www.reactwise.com/news/reactwise-raises-3-4m-to-transform-big-pharma-with-ai-and-self-driving-labs",
        "date": "Mar 17, 2025"
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    "launches": [
      {
        "id": 81168,
        "title": "ReactWise - AI co-pilot for wet lab chemistry",
        "tagline": "No-code chemical process optimization software for pharma and biotech",
        "body": "**TL;DR:** [ReactWise](https://www.react-wise.com/) aims to accelerate and automate chemical process development by equipping wet lab chemists with the power of data-driven optimization and robotic execution of experiments.\n\n**The Problem**\n\nThe discovery of novel pharmaceuticals is one of our most important weapons in fighting disease. However, the drug development pipeline is often held up for many months during the design of chemical processes to manufacture these drugs at scale, delaying FDA trials and lengthening the time until drug launch. Designing chemical processes involves the identification of suitable parameters such as catalyst/temperature/solvent. Currently, process development is often done via tedious trial-and-error experimentation (slow) or exhaustive screening (expensive and wasteful). \n\n![uploaded image](/media/?type=post&id=81168&key=user_uploads/1700794/145e099d-1763-438b-9dd2-05a6d8e01ce5)\n\n**Our Approach**\n\nIn our research, we have developed algorithms for chemical process optimization that leverage transfer learning and Bayesian optimization. We validated the algorithms in the wet lab, showing an up to **95% reduction in experimental burden and cost** when compared to exhaustive screening. We have made our approaches accessible to human experimentalists through our user-friendly no-code software platform, and to automated laboratory equipment with our API.\n\n![uploaded image](/media/?type=post&id=81168&key=user_uploads/1700794/a9e5d7e0-86c4-469f-8374-2ef728597a89)\n\n**Our Background**\n\nWe ([Daniel](https://linkedin.com/in/daniel-wigh) and [Alexander](https://linkedin.com/in/apomberger)) recently completed our PhDs in Machine Learning for Chemistry at the University of Cambridge. We built an automated lab to validate our optimization strategies during our research and are now working to accelerate and automate chemistry & biotech.\n\n![uploaded image](/media/?type=post&id=81168&key=user_uploads/1700794/3b26b7be-6625-4015-a44a-79df46462aec)\n\n**Our Ask**\n\n* We are keen to talk to **innovation managers and labheads** **at pharmaceutical and biotech** companies who\n  * Work with experimentalists who would benefit from our no-code optimization platform\n  * Want to build an automated lab but are not sure where to start\n* We are also interested in speaking with **equipment manufacturers** so we can integrate our software with their hardware\n\n\\\nClick here to [book a demo](https://www.react-wise.com/join-waitlist) with us, or email us via [info@react-wise.com](mailto:info@react-wise.com).",
        "url": "https://www.ycombinator.com/launches/L7A-reactwise-ai-co-pilot-for-wet-lab-chemistry",
        "votes": 23,
        "created_at": "2024-05-29T15:12:18.001Z"
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    "id": 29735,
    "name": "FINNY AI",
    "slug": "finny-ai",
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    "all_locations": "New York City, NY, USA",
    "long_description": "FINNY is the AI-native organic growth engine for financial advisors, focused on helping them grow their practices\r\n \r\nOur goal is to empower financial advisors to reach the right potential clients at the right time, with the right message.  We are building a world where anyone who wants financial advice can connect with the right advisor, while helping advisors ensure organic growth, the most existential problem advisors face. \r\n                                                                                                                                                      \r\nThe organic growth process has historically been highly inefficient and full of noise. Advisors often waste 60+ hours of business development to convert 1 new client.  \r\n\r\nAt FINNY, we are certain we can do better with AI. With our tool, advisors can:\r\n- Identify prospects within their target niche, aggregating thousands of data points per lead\r\n- Prioritize prospects based on their predicted likelihood of converting using F-Score, a score unique to each advisor and prospect pair\r\n- Automate the outreach and meeting scheduling with their high priority prospects\r\n\r\nIn essence, FINNY does all the rote work for the advisors, letting them focus on what actually matters: the client relationship.",
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    "team_size": 35,
    "industry": "Fintech",
    "subindustry": "Fintech -> Asset Management",
    "launched_at": 1716852989,
    "tags": [
      "Fintech",
      "Machine Learning",
      "Finance",
      "Sales Enablement",
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      "America / Canada"
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    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/finnyai/",
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      "name": "Jon Xu",
      "url": "https://www.ycombinator.com/people/jon-xu"
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      {
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        "full_name": "Eden Ovadia",
        "title": "Founder/CEO",
        "founder_bio": "Eden is the Co-founder and CEO of FINNY.\n\nShe studied Software Eng. at McGill University with a focus on ML. Prior to starting FINNY, Eden was at BCG where she worked in Private Equity & Financial Services. ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/edenovadia",
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      {
        "user_id": 1754854,
        "full_name": "Theodore Janson",
        "title": "Founder/CTO",
        "founder_bio": "Theo is the co-founder and CTO at FINNY. \nBefore FINNY, Theo worked as an applied ML engineer in an early Fintech startup, leading the development of statistical models and LLMs for automated financial analysis. He has also held research roles in LLM explainability and particle physics. Theo has degrees in electrical engineering and CS from Ecole Polytechnique (X) and McGill University.\n\n\n\n",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/theodore-janson",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b30d06543a1a116e358a9ec48f753d7e759411e2.jpg"
      },
      {
        "user_id": 1630058,
        "full_name": "Victoria Toli",
        "title": "Founder",
        "founder_bio": "Victoria is the co-founder and CPO of FINNY, an AI-driven growth engine for financial advisors. \n\nBefore FINNY, she was a Product Manager at Uber, where she led growth and international expansion for Uber One. She holds a BS in Symbolic Systems, Artificial Intelligence from Stanford. Victoria grew up in Athens, Greece. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/victoria-toli/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9493c48a901d6d10732682c7f6b2b657f49c8953.jpg"
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    ],
    "jobs": [
      {
        "id": 92443,
        "title": "Product Engineer ",
        "url": "https://www.ycombinator.com/companies/finny-ai/jobs/diUrCMS-product-engineer",
        "location": "New York City",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$180K - $200K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 110017,
        "title": "Senior Account Executive, Enterprise ",
        "url": "https://www.ycombinator.com/companies/finny-ai/jobs/ZpW4jSD-senior-account-executive-enterprise",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$150K - $200K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "Will sponsor",
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      },
      {
        "id": 110018,
        "title": "Growth Marketing Manager ",
        "url": "https://www.ycombinator.com/companies/finny-ai/jobs/tVk0vEd-growth-marketing-manager",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$140K - $170K",
        "equity_range": "",
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        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 110019,
        "title": "Growth Strategist, Enterprise ",
        "url": "https://www.ycombinator.com/companies/finny-ai/jobs/woHEz5n-growth-strategist-enterprise",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$130K - $150K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "WealthTech Roundup: FINNY Partners With Osaic for AI",
        "url": "https://www.wealthmanagement.com/artificial-intelligence/wealthstack-roundup-finny-partners-with-osaic",
        "date": "Jan 29, 2026"
      },
      {
        "title": "FINNY closes $17M Series A to help RIAs fight organic growth squeeze - InvestmentNews",
        "url": "https://www.investmentnews.com/fintech/finny-closes-17m-series-a-to-help-rias-fight-organic-growth-squeeze/263644",
        "date": "Dec 18, 2025"
      },
      {
        "title": "FINNY Adds Multi-Channel, Automated Prospect Outreach Feature",
        "url": "https://www.wealthsolutionsreport.com/finny-adds-multi-channel-automated-prospect-outreach-feature/",
        "date": "Aug 07, 2025"
      },
      {
        "title": "YC-backed Finny is using AI to match financial advisors with prospects | TechCrunch",
        "url": "https://techcrunch.com/2024/12/11/yc-backed-finny-helps-financial-advisors-find-new-clients/",
        "date": "Dec 11, 2024"
      },
      {
        "title": "Finny and the Great AdvisorTech Acceleration | Wealth Management",
        "url": "https://www.wealthmanagement.com/technology/finny-and-great-advisortech-acceleration",
        "date": "Aug 12, 2024"
      }
    ],
    "launches": [
      {
        "id": 82467,
        "title": "⚡FINNY - Supercharge organic growth for Financial Advisors",
        "tagline": "We help independent financial advisors find and convert new clients, using AI. ",
        "body": "Hey everyone, we are Theo, Eden, and Victoria — the founders of [FINNY](https://www.finnyai.com/). We help independent financial advisors find and convert new clients, using AI.\\\n\\\nIf you’re confused as to why the three of us are so excited about building for financial advisors, keep reading.\n\n![uploaded image](/media/?type=post&id=82467&key=user_uploads/89898/9cd181f2-59e6-4458-b5c9-250b9399ee43)\n\n# 🧑‍🔬 **The Team**\n\n**🏦The Sales Whisperer**  \n\n[Eden](https://www.linkedin.com/in/edenovadia/) was most recently at BCG NYC, where she primarily worked in the Tech, Financial Institutions & Private Equity practices. She holds a BEng in Software Engineering from McGill (ML focus). \n\n**👾The Model Man** \n\n[Theo](https://www.linkedin.com/in/theodore-janson/) worked as a ML engineer at an early Fintech startup and AI researcher in Explainable ML. He holds a BEng in EE and Math from McGill and MS in AI from Ecole Polytechnique, Paris.\n\n**👩🏼‍🎨The Visionary** \n\n[Victoria](https://www.linkedin.com/in/victoria-toli/) came from Uber, where she led membership growth for Uber One as a Product Manager. She holds a BS from Stanford in Symbolic Systems (AI focus). \n\n# **🫶🏻 Why are we obsessed with Financial Advisors?**\n\n* **The Great Wealth Transfer** - $80T of wealth will be transferred from the Boomer/Silent Gen to the next generation over the next 20 years. \n* **Retiring advisors** - 45,000 financial advisors are over the age of 65 in the US, managing $3T in wealth that will change management when they retire.\n* **Wealth creation** - Wealth is being created in unprecedented ways (E.g., Innovation, Entrepreneurship, Social media, Racial wealth gain), but the institution serving the wealth has not changed\n* **Consolidation** - Private equity driving consolidation of a historically long tail of independent advisors\n* **Price Inertia:** Financial Advisors are used to paying 25 bps annually IN PERPETUITY for referrals. That’s $200B annually from the wealth transfer alone.\n\n \n\n# 💀 **The Problem FINNY is Solving**\n\nFinancial advisors manage >$100T in assets globally. Yet, bringing on new clients is highly inefficient. Their best bet is to repurpose horizontal solutions - like Linkedin, ZoomInfo, and Pitchbook - to create long and noisy prospect lists. However, without a proper way to qualify these leads or even reach their particular niche at scale, advisors end up spending an average of **58 hours** going after the wrong, often unqualified prospects before converting one new client.\n\n![uploaded image](/media/?type=post&id=82467&key=user_uploads/1755270/ea1b3592-dc3a-4581-86ad-447709eec5bf)\n\n# 💡 **The Solution**\n\nFINNY is reimagining organic growth for financial advisors with AI. Our first product, a multi-channel Sales agent, allows users to sit back and relax while it goes “out in the wild” (aka our massive database of high-net-worth individuals) and prospects for them. It’s like your intern, except it’s always on, running in the background.\n\nFINNY’s goal is for advisors to wake up in the morning to meetings with prospects on their calendars, entirely booked by FINNY. Our value proposition is three-fold: \n\n1. **_Prospect identification:_**\n   * _We identify prospects within their target niche, aggregating thousands of data points per lead and constantly monitoring for life triggers_\n\n    \n2. **_Prospect prioritization_:**\n   * We prioritize prospects based on their predicted likelihood of converting, a score unique to each advisor and prospect pair\n3. **_Prospect outreach & engagement:_**\n   * _We automate the outreach and meeting scheduling with the high-priority prospects, intelligently selecting the optimal channel for the specific prospect_\n\n![uploaded image](/media/?type=post&id=82467&key=user_uploads/1755270/2df42888-af79-4d31-a06f-a153ff0487e7)\n\n# ✅ **Progress so far**\n\nIn just 3 months, we have:\n\n* Released the **1st** and **2nd iteration** of the product to 15 advisory firms.\n* Grown revenue by >**11x** MoM.\n* Got **70** firms to join our waitlist, without any acquisition efforts or outbound.\n* **Won** Morningstar’s Fintech Showcase last month.\n* Have been getting some **buzz**! [Here](https://www.businesswire.com/news/home/20240724776742/en/Future-Proof-Announces-Groundbreaking-Lineup-of-Fintech-Demo-Drop-III-Finalists) and [here](https://www.downtownjoshbrown.com/p/future-financial-advice-already-993f).\n\n \n\n![uploaded image](/media/?type=post&id=82467&key=user_uploads/1755270/5a150faf-0c65-424a-96f1-90f6e4c79b94)\n\n# **❓One Ask for You (If you made it this far)**\n\nIf you ever thought about working with a financial advisor, evaluated one, currently work with one _(or want to get matched with one_ **😉**_),_ we’d love to talk to you. Book 15 min with us [here.](https://calendly.com/eden-finny/finny-intro-call) If you’re in SF, we’ll buy you a coffee. If not, let’s call it an IOU.",
        "url": "https://www.ycombinator.com/launches/LS7-finny-supercharge-organic-growth-for-financial-advisors",
        "votes": 62,
        "created_at": "2024-07-26T15:05:12.600Z"
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    "id": 29737,
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    "team_size": 3,
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        "title": "Founder/CEO",
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        "full_name": "Kevin Chu",
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        "founder_bio": "Kevin is leading the engineering and product as the CTO at Hestus (S24).  Previously, he led Autonomous Vehicle engineering at Cruise, growing the team from 20 to 300 over seven years and holds a Robotics PhD from UCLA. He also worked in multiple robotics startups including energy and medical spaces",
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        "title": "Hestus - AI for hardware development",
        "tagline": "Hestus helps engineers work 2.5x faster with 4x fewer clicks",
        "body": "Hi YC!\n\nThis is [Kevin](https://www.linkedin.com/in/kevin-chu-11a4511/) and [Sohrab](https://www.linkedin.com/in/sohrabhaghighat) from Hestus and we are building an AI for Hardware Design. \n\n# **TL;DR: There is no such thing like code completion for CAD, so we built it.**\n\nOur first tool, Sketch Helper, natively integrates into your CAD environment. It understands your design intent, and predicts your next move.\n\n* Makes sketching **2.5x faster**\n* Requires **4x fewer** clicks\n* Accept suggestions with a single key stroke\n* Over **1000 engineers** are already using it\n\n[**https://youtu.be/-I6IZCwt-rw**](https://youtu.be/-I6IZCwt-rw)\n\n# **Problem**\n\nMechanical engineers are fast at conceptual design but get buried in \"click-work.\"  Getting a concept ready for manufacturing takes countless, manual and error-prone clicks to assign constraints and dimensions.\n\nAs one of our users said: \n\n> Only a third of my time goes into real design work. The rest is just clicking through sketches and dimensions, and I can only click so fast. \n\n# **Solution**\n\nWe built “Sketch Helper,” a copilot for sketching in CAD. \n\nIt understands your design intent and proposes your next move, may it be adding constraints, missing dimensions, or even additional geometries to your sketch. You can preview any of the proposed changes in a red overlay and accept it with a single keystroke.\n\n![uploaded image](/media/?type=post&id=95212&key=user_uploads/295796/26c0f9a0-6a9e-43e5-abc3-aab8f5b9f773)\n\nNext, we are going to expand into full 3D and build “**Mate Helper**” and “**GD&T Helper**” to help not just with design but as well as design for manufacturing.\n\n# **The big vision**\n\nThe biggest problem in hardware is the silo between design and manufacturing, which leads to endless, costly iterations.\n\nThe push to reshore American manufacturing has hit a major bottleneck: we lack the deep bench of manufacturing experts we once had. As Tim Cook noted, the skilled tooling and manufacturing expertise is no longer concentrated here (https://youtu.be/_ng8xQ-SNGc?si=WzfP4aCJmec1lJo4&t=547).\n\nOur AI learns design intent by observing an engineer's actions in CAD. By starting with sketching, we are building the foundation model that understands why a part is designed a certain way.\n\nThis is the key to an AI that can provide real-time manufacturability feedback, bridging the gap between design and manufacturing and automating the tooling design process.\n\n# **Who we are why we are the team to crack this nut**\n\nWe’ve felt this pain firsthand. We (Kevin and Sohrab) were both early employees at Cruise. Kevin led the AV engineering team, scaling it from 20 to 300+ people. Sohrab founded the rocket company SpaceRyde (YC W19) securing millions in launch contracts and led laser tech development at Mitsubishi. We’ve built and shipped AI for self-driving cars, surgical robotics, and rocket launches. Now, we are fixing hardware development.\n\n# **Ask**\n\n* For Autodesk Fusion users: Please try [Sketch Helper](http://www.hestus.co/download). It's free and we guarantee it will make you faster.\n* For everyone else: What CAD platform do you or your team use? Reach\n\n  us out at [founders@hestus.co](mailto:founders@hestus.co). We are prioritizing our expansion based on your feedback.\n* If you are building hardware, we would love to hear about the biggest challenges that slow you down.\n\n![uploaded image](/media/?type=post&id=95212&key=user_uploads/295796/282427a7-5fd1-4532-bcf8-30182920c3a5)\n\n",
        "url": "https://www.ycombinator.com/launches/Olg-hestus-ai-for-hardware-development",
        "votes": 149,
        "created_at": "2025-11-05T23:24:26.331Z"
      }
    ]
  },
  {
    "id": 29738,
    "name": "Anara",
    "slug": "anara",
    "former_names": [
      "Unriddle"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c200677edb53d6070e302f09d7f34173e19a46f2.png",
    "website": "https://anara.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Anara is AI for scientific advancement. We help researchers find, understand and write scientific documents, together.\r\n\r\nWe started working on Anara two years ago. In that time:\r\n- we’ve grown to 3M users spanning hundreds of major colleges and research-led companies,\r\n- we are fast approaching $10M in yearly revenue,\r\n- 600M+ people have seen our content across Instagram, TikTok and YouTube,\r\n- and we raised $3M from YC and the founders of Github and Reddit.\r\n\r\nWe're a small, tight-knit team with huge ambitions. As a founding member, you'll be instrumental in helping us scale revenue from $10M to $100M and then $100M to $1B+.\r\n\r\nIf you’re excited by the idea of being a part of that, definitely reach out.",
    "one_liner": "AI for researchers",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1715615655,
    "tags": [
      "Consumer",
      "B2B",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Active",
    "industries": [
      "B2B",
      "Productivity"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/anara",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/anara.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/anaralabs/",
    "x_url": "https://twitter.com/anara",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c200677edb53d6070e302f09d7f34173e19a46f2.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
    },
    "founders": [
      {
        "user_id": 1365789,
        "full_name": "Naveed Janmohamed",
        "title": "Founder/CEO",
        "founder_bio": "Building the place where humans and AI do research work together.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/naveedjanmo",
        "x_url": "https://twitter.com/naveedjanmo",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e4d754f918dfe3e685c2a76f2db4152d4fd6edc5.jpg"
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    ],
    "jobs": [
      {
        "id": 88144,
        "title": "Software Engineer, Product",
        "url": "https://www.ycombinator.com/companies/anara/jobs/gUd2wYA-software-engineer-product",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $200K",
        "equity_range": "0.50% - 1.00%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 88145,
        "title": "Software Engineer, Backend",
        "url": "https://www.ycombinator.com/companies/anara/jobs/5bRqg4t-software-engineer-backend",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $200K",
        "equity_range": "0.50% - 1.00%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 88146,
        "title": "Technical Product Manager",
        "url": "https://www.ycombinator.com/companies/anara/jobs/1vX8BWc-technical-product-manager",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Product",
        "role_type": null,
        "salary_range": "$150K - $200K",
        "equity_range": "0.50% - 1.00%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 88147,
        "title": "Product Designer",
        "url": "https://www.ycombinator.com/companies/anara/jobs/CrpqWsB-product-designer",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Design",
        "role_type": "Web design",
        "salary_range": "$150K - $180K",
        "equity_range": "0.50% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 83362,
        "title": "Unriddle — AI research assistant for industry and academic research",
        "tagline": "Read, write and organize research papers really quickly.",
        "body": "Hey YC - [Naveed](https://twitter.com/naveedjanmo) from [Unriddle](https://www.unriddle.ai/?utm_campaign=yclaunch) here. We help industry and academic researchers read, write, and organize research papers really quickly.\n\nWe launched just over a year ago, and today, we have 1.3M users, including teams at Johns Hopkins, Stanford University, and Roche Pharmaceutical.\n\nTry it here: [unriddle.ai](https://www.unriddle.ai/?utm_campaign=yclaunch)\n\n### **Problem**\n\nUnderstanding the key themes, findings, and gaps in a field often involves sifting through hundreds of research papers. It’s a time-consuming and disorganized process.\n\nAnd when working across multiple disciplines, researchers may lack the contextual or domain knowledge needed to fully grasp a paper’s significance.\n\n![uploaded image](/media/?type=post&id=83362&key=user_uploads/1365789/20c1dfde-aa65-4195-b034-672f74d6d2d4)\n\n### **Solution**\n\nUnriddle uses language models to help researchers quickly and deeply understand papers, write literature reviews, prepare citations, and keep the entire research team on the same page.\n\nIt understands the context behind your research – synthesizing relevant findings, highlighting connections between papers, and suggesting related studies you might have missed.\n\n![uploaded image](/media/?type=post&id=83362&key=user_uploads/1365789/4a10250b-cd45-4731-bce7-5c93d3ae2322)\n\n### **Ask**\n\nIf you read or write research papers in any capacity, [try Unriddle](https://www.unriddle.ai/?utm_campaign=yclaunch) and let me know what you think at [naveed@unriddle.ai](mailto:naveed@unriddle.ai).\n\nIntros to research teams, particularly those in life sciences (e.g., biotech, pharma, and healthcare).\n\n— Naveed\n\n:)",
        "url": "https://www.ycombinator.com/launches/LgY-unriddle-ai-research-assistant-for-industry-and-academic-research",
        "votes": 53,
        "created_at": "2024-08-23T21:48:16.163Z"
      }
    ]
  },
  {
    "id": 29741,
    "name": "Dimely",
    "slug": "dimely",
    "former_names": [
      "Flex",
      "Kalo"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a3c0ebb7e9cc188d3721bc8e308ed808091559dc.png",
    "website": "https://dimely.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Dimely helps accounting teams scale their order management & contract review workflows. Today fast-growing tech unicorns like Checkr and Airbyte get more coverage with less manual work by using Dimely’s AI agents to intelligently extract relevant details from core files like Order Forms, MSAs & POs, flag discrepancies, and then sync this information to core finance systems like NetSuite and Stripe.\r\n\r\nDimely leverages what finance and accounting teams love most, spreadsheets, for all its workflows so teams never feel out of place. Teams just replace their existing, siloed Excel spreadsheet with one that's connected and powered by AI. Teams love Dimely for its ease of use and intuitive user experience that saves them hundreds if not thousands of hours a month. ",
    "one_liner": "AI-Powered Spreadsheet for Billing Automation",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Finance and Accounting",
    "launched_at": 1723104343,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Active",
    "industries": [
      "B2B",
      "Finance and Accounting"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/dimely",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/dimely.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/usedimely/",
    "x_url": "https://x.com/UseDimely",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a3c0ebb7e9cc188d3721bc8e308ed808091559dc.png",
    "app_video_url": null,
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    "company_photos": [
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    ],
    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
    },
    "founders": [
      {
        "user_id": 993872,
        "full_name": "David Pang",
        "title": "Founder/CEO",
        "founder_bio": "David is co-founder and CEO of Dimely. Before Dimely, David led Business Operations at OneSignal (YCS11) where he was heavily involved with billing. He also co-founded (with Peter) SheetWhiz, a productivity tool for Sheets used by thousands of finance startup professionals every month. He began his career as a tech private equity investor at Silver Lake. He graduated summa cum laude from the Wharton School at the University of Pennsylvania where he studied finance and accounting ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/davidnpang",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4f3d5330cf61187494cafd8c9880ac00e22ece8f.jpg"
      },
      {
        "user_id": 2218311,
        "full_name": "Peter Sun",
        "title": "Founder/CTO",
        "founder_bio": "Peter is the co-founder and CTO of Dimely. Before Dimely, Peter was the founding Data Scientist at OneSignal (YCS11) where he built data infrastructure for billing. He co-founded (with David) SheetWhiz, a Chrome Extension that brings Excel features to Google Sheets used by thousands of finance professionals. Peter started his career at Meta where he built onboarding experiences for SMB advertisers. Peter graduated from the University of Waterloo with a degree in Electrical Engineering.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/p2sun",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d8c61cfd67014ae7265df4c211b9db884f66c049.jpg"
      }
    ],
    "jobs": [
      {
        "id": 77291,
        "title": "Founding Engineer - Full Stack (In Person Toronto)",
        "url": "https://www.ycombinator.com/companies/dimely/jobs/jNp9oGs-founding-engineer-full-stack-in-person-toronto",
        "location": "Toronto, ON, CA / Toronto, Ontario, CA",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$100K - $120K CAD",
        "equity_range": "0.50% - 3.00%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": [
          "PostgreSQL",
          "React",
          "TypeScript",
          "Next.js"
        ]
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 103832,
        "title": "🔎 SheetWhiz: The Best Way to Audit Your Google Spreadsheets",
        "tagline": "The most powerful Trace Precedents tool for Google Sheets. As AI generates more formulas, SheetWhiz helps you trace, verify, and catch mistakes before they lead to bad decisions. ",
        "body": "![uploaded image](/media/?type=post&id=103832&key=user_uploads/993872/5a9b468b-3cb9-4b3f-a355-6d7c3b5a9659)\n\n## TL;DR\n\nAI is going to generate more of your spreadsheet analysis.\n\nThat is powerful, but it creates a new problem: if AI writes the analysis, who catches the mistakes?\n\nSheetWhiz helps you audit the logic behind your spreadsheet work before you rely on it. You can trace where numbers come from, understand how formulas flow through your model, verify that calculations make sense, and catch mistakes before they lead to bad decisions.\n\nUnder the hood, SheetWhiz gives you the most powerful Trace Precedents and Trace Dependents workflow in Google Sheets, with multi-level formula tracing, step-by-step formula evaluation, and AI built into the audit flow.\n\nSheetWhiz is already used by over 10,000 professionals at some of the most productive companies in the world, including Anthropic, DoorDash, Robinhood, Chime, and GitLab.\n\nTry SheetWhiz free from the Chrome Web Store.\n\n## The Problem\n\nAI is making it easier than ever to create spreadsheet analysis.\n\nIt can write formulas, build models, summarize data, and automate workflows that used to take hours. That is a huge productivity unlock, especially for teams that live in spreadsheets.\n\nBut it also creates a new risk: people will start shipping analysis they do not fully understand.\n\nAnd even the best AI-generated spreadsheet work still needs review.\n\nWall Street Prep recently tested leading AI tools for financial modeling against investment banking standards. Even the winning tool scored only **5.7 / 10** on accuracy of data extraction, formatting, and modeling best practices, and **5.0 / 10** on quality and rigor of forecasting and model structure.\n\n![uploaded image](/media/?type=post&id=103832&key=user_uploads/993872/d615388a-d070-4bbe-8a3b-82dede469baf)\n\n_Source: [https://www.wallstreetprep.com/knowledge/ranking-the-best-ai-tools-for-financial-modeling-2026](https://www.wallstreetprep.com/knowledge/ranking-the-best-ai-tools-for-financial-modeling-2026/)_\n\nThat does not mean AI is not useful. It means AI can help generate the first draft, but humans still need to inspect the logic before relying on the output.\n\nThe dangerous part is that the final output can look credible.\n\nWhen AI generates a formula, the formula may look sophisticated. The model may look complete. The analysis may look ready to send. But unless someone can inspect the logic, trace the inputs, and explain how the number was calculated, the work is not truly understood.\n\nDon’t be the person who puts your name on analysis you cannot defend.\n\nNot when the numbers matter.\n\n## The Most Powerful Trace Precedents Workflow for Google Sheets\n\n<https://www.youtube.com/watch?v=10-XhrwDmo4>\n\nSheetWhiz is built around the spreadsheet audit workflow people actually need: select a formula, understand where it came from, inspect the logic, fix issues, and keep working.\n\nWith Trace Precedents, you can select any formula and instantly see every cell feeding into it. You can jump directly to each source cell, move through references with your keyboard, and expand the precedents of those precedent cells to trace the formula multiple levels deep.\n\nInstead of manually hunting through tabs and cell references, SheetWhiz gives you an interactive audit trail for your spreadsheet.\n\nYou can see where a number came from, what it depends on, and how it flows through the model.\n\n![uploaded image](/media/?type=post&id=103832&key=user_uploads/993872/13edeec1-e48b-4fcd-9d50-89a2fda13ec0)\n\nBut tracing cells is only the first step. The harder part is understanding what the formula is actually doing.\n\nThat is why SheetWhiz also has the Evaluates Formulas and Groups toggle.\n\nIf you are looking at a VLOOKUP, SheetWhiz can show the lookup value, the table being searched, the return column, and the exact value the function returns. Instead of manually counting columns and checking ranges, you can see the result of the lookup immediately.\n\nIf you are looking at INDEX/MATCH, SheetWhiz can break apart what MATCH is finding and what INDEX is returning. You can see which row or column was matched, which source cell was returned, and how the final result was calculated.\n\nThis matters because AI-generated formulas often look correct at a glance. They can use advanced functions, nested logic, and ranges that appear reasonable. But the only way to trust the output is to inspect what each part is doing.\n\nSheetWhiz makes that inspection fast.\n\n![uploaded image](/media/?type=post&id=103832&key=user_uploads/993872/bc42a520-8757-4429-9d96-4d528a22c9fa)\n\n## AI Built Into the Audit Workflow\n\n![uploaded image](/media/?type=post&id=103832&key=user_uploads/993872/4d36128a-3af3-4ab4-a05b-75ee1a7ae8e7)\n\nWe layered AI directly into tracing.\n\nThat does not just mean generic formula explanations. SheetWhiz has the context of your spreadsheet, the selected cell, the referenced cells, the formula being evaluated, and the surrounding model or analysis. If you’re building an LBO, SheetWhiz AI knows you’re building an LBO and will let you know whether your returns analysis is calculating correctly based on that model.\n\nIn a data analysis, SheetWhiz can explain the mechanics of the formula. If you are not familiar with VLOOKUP, INDEX/MATCH, LET, or another function, you can ask what the formula is doing, how it works, and whether anything looks off.\n\nThat is the workflow we think people need as AI writes more spreadsheet work:\n\nGenerate the work, then inspect it, understand it, and verify it before you rely on it.\n\n## Other Auditing Tools\n\n![uploaded image](/media/?type=post&id=103832&key=user_uploads/993872/4576c408-a4cb-46fe-a2f2-9cd9c2ed14fa)\n\nTrace Precedents is the core workflow, but SheetWhiz also includes other tools to help you inspect and audit spreadsheets faster.\n\nWith Trace Dependents, you can see which formulas rely on the cell you are changing. Before editing an input, assumption, or formula, you can understand what downstream calculations might be affected.\n\nSheetWhiz also helps you visualize spreadsheet structure with auto-coloring. You can color hard-coded values, formulas, and links to other tabs so it is easier to see what is going on in a model at a glance.\n\nFor example, you can quickly distinguish hardcoded assumptions from linked cells and formulas, making it easier to review a model for consistency and potential errors.\n\nThe goal is to help you catch problems before they spread through the model and become decisions.\n\n## Built for People Who Actually Work in Sheets and Slides\n\n<https://www.youtube.com/watch?v=e2vizHjWNfE>\n\nAuditing is only one part of spreadsheet work. Once you understand the model, you still need to clean it up, format it, present it, and move quickly.\n\nThat is why SheetWhiz includes over 100 spreadsheet and presentation shortcuts.\n\nFor people coming from Excel, SheetWhiz brings familiar Excel-style shortcuts into Google Sheets, including paste special, insert and delete rows or columns, autofit and set row height and column width, filters, borders, alignment, merge, freeze panes, and more.\n\nFor formatting-heavy work, SheetWhiz includes format cycling tools like number cycling, font cycling, fill color cycling, and indentation cycling.\n\nFor reporting workflows, SheetWhiz lets you export a selection as an image into Google Slides while preserving the formatting from your sheet. The image links back to the original source, so teammates can trace the screenshot back to where it came from.\n\nSheetWhiz also includes Google Slides shortcuts, so the same speed gains carry into the deck-building process.\n\nAI is useful when you want help thinking through a formula. But sometimes you do not want to type a prompt or wait for a response. You just want to move faster in the spreadsheet.\n\nSheetWhiz gives you both.\n\n## Why We Built It\n\nBefore building SheetWhiz, I worked in tech private equity at Silver Lake and later in finance and operations roles. Excel plus plugins were core to how I worked.\n\nMoving into Google Sheets meant losing speed, visibility, and accuracy, especially when auditing formulas.\n\nGoogle Sheets is great for collaboration, but it has historically lacked the formula tracing, auditing, formatting, and reporting workflows that spreadsheet-heavy teams rely on every day.\n\nNow that AI is generating more spreadsheet work, that gap matters even more.\n\nIf AI writes the analysis, the human still needs to audit it.\n\nThat is what SheetWhiz is built for.\n\n## Try SheetWhiz\n\nSheetWhiz is free to try from the Chrome Web Store.\n\nJoin over 10,000 professionals at companies like Anthropic, DoorDash, Robinhood, Chime, and GitLab, and make your Google Sheets formulas easier to trace, understand, and trust.\n\n# Dimely and SheetWhiz: Fixing Spreadsheet for Finance Teams\n\nSheetWhiz emerged alongside Dimely, our AI connected spreadsheet, as part of the same mission: making the spreadsheet experience better for finance teams. Dimely focuses on automating your billing spreadsheet work, while SheetWhiz focuses on improving the daily tooling inside Google Sheets itself. Please reach out if interested in learning more about SheetWhiz or Dimely.",
        "url": "https://www.ycombinator.com/launches/R0i-sheetwhiz-the-best-way-to-audit-your-google-spreadsheets",
        "votes": 3,
        "created_at": "2026-06-24T02:51:27.456Z"
      },
      {
        "id": 96407,
        "title": "📊 SheetWhiz: Build Better Analyses in Google Sheets Faster",
        "tagline": "The go-to finance productivity tool for Google Sheets used by the top finance teams in the world. Trace Precedents, Trace Dependents, Goal Seek, What-If Data Tables, Format Cycling, Excel and PPT shortcuts, and more inside Google Sheets and Slides.",
        "body": "![uploaded image](/media/?type=post&id=96407&key=user_uploads/993872/e1ed2019-4e60-48cf-b350-2df943369696)\n\n**TL;DR: If you miss your Excel productivity and want to be faster, more accurate, and produce more digestible models in Google Sheets, try SheetWhiz for free. Over 17,000 professionals at companies like OpenAI, Anthropic, DoorDash, and Robinhood have used SheetWhiz over 8 million times to boost their productivity in Google Sheets.**\n\nSometimes Google Sheets just doesn’t cut it.\n\nAfter working for years in private equity and learning Excel like the back of my hand, the transition to startup finance and ops, where I had to use Google Sheets (on a MacBook to boot!), was incredibly painful. SheetWhiz fixes this so you don’t have to go through the pain I went through.\n\nSince launching SheetWhiz, it’s become the go-to spreadsheet tool for finance teams working in Google Sheets. It’s what finance teams at top tech companies use to move faster and with greater accuracy.\n\nTry the SheetWhiz Chrome extension today with a 21-day free trial and a free forever plan. Visit[ www.sheetwhiz.com](http://www.sheetwhiz.com) and click “Get Chrome Extension” to install the tool.\n\n![uploaded image](/media/?type=post&id=96407&key=user_uploads/993872/728a0634-015c-4c0b-82cf-d12253995391)\n\n## The Problem\n\n3 billion people use Google Workspace each month and hundreds of millions use Google Sheets in their everyday work. Finance teams are increasingly moving work into Google Sheets because it comes free with Google Workspace, and it’s easier to aggregate data and collaborate in Sheets than in Excel.\n\nThe problem? Google Sheets lacks proper tooling for finance teams to streamline their work. As this move to Sheets picks up speed, finance teams are often forced to download files into Excel to complete the work, then re-upload them back into Drive to share once complete.\n\nIt also doesn’t help that Excel, over the last 40+ years, has built massive market share in finance with a community of finance educators and tooling, while Google Sheets has focused more on the data analyst and lacks many education touch points that would drive adoption by finance teams. It’s especially frustrating for finance teams, many of whom have Excel training, to lose access to the features and functionality they’re used to.\n\n![uploaded image](/media/?type=post&id=96407&key=user_uploads/993872/4cc48523-66f5-4f44-94f9-e6d11669d2fb)\n\n![uploaded image](/media/?type=post&id=96407&key=user_uploads/993872/2974b490-9222-489a-badf-0cd2a341788c)\n\n![uploaded image](/media/?type=post&id=96407&key=user_uploads/993872/006affdb-e543-48e8-920a-f614f741080d)\n\nMissing features include:\n\n* A robust way to trace precedent and dependent cells\n* An easy What-If suite with tools like Goal Seek and Data Tables\n* Fast formatting tools and shortcuts\n* Exporting into other systems while maintaining formatting\n\nWithout these workflows, teams move slower, data quality checks take longer, and spreadsheet output hygiene suffers, with key stakeholders having to work harder to digest takeaways.\n\nBefore SheetWhiz, I worked in tech private equity at Silver Lake and later in finance and operations roles. Excel plus plugins were core to how I worked. Moving into Google Sheets meant losing speed, visibility, and accuracy. I searched for a fix and couldn’t find anything close. As my cofounder Peter observed my constant complaining, we decided to build the tool I wanted and use every single day.\n\n## Our Solution\n\nDemo video: <https://www.youtube.com/watch?v=e2vizHjWNfE&t>\n\nSheetWhiz brings Excel’s most important auditing, scenario analysis, and formatting tools directly into Google Sheets, all triggered by shortcuts you can customize.\n\n![uploaded image](/media/?type=post&id=96407&key=user_uploads/993872/25d7badc-b113-4750-8dc1-90905824ee17)\n\n### Current capabilities include:\n\n**Audit and accuracy**\n\n* Trace Precedents\n* Trace Dependents\n* Auto-Color Hardcodes and Links to Other Tabs\n\n**Driver and sensitivity tools**\n\n* Goal Seek\n* What-If Data Tables\n\n**Advanced formatting**\n\n* Number Cycle\n* Font Cycle\n* Fill Color Cycling\n* Indentation Cycle (yes, you can indent in Sheets!)\n\n**Excel formatting shortcuts**\n\n* Paste Special (Alt + E + S)\n* Insert/Delete Columns and Rows (Ctrl + Shift + Plus/Minus)\n* Border shortcuts\n* Add/Remove Gridlines (Alt + E + V + G)\n* Set or Auto-Fit Column Width and Rows Height\n* Add/Remove Filters (Ctrl + Shift + L) and Open Filter Dropdown (Alt + Down Arrow)\n* Alignment shortcuts\n* Merge shortcuts\n* Freeze/Unfreeze shortcuts\n\n**PowerPoint formatting shortcuts**\n\n* Alignment shortcuts\n* Text alignment shortcuts\n* Distribute shortcuts\n* Grouping shortcuts\n\n**Reporting**\n\n* Export selections as clean images for pasting into other programs like Google Slides and Slack\n\n### What finance teams use SheetWhiz for:\n\n* Understand and debug models in seconds\n* Build sensitivities\n* Maintain cleaner spreadsheets faster\n* Avoid formula breakage\n* Export reporting visuals for leadership decks\n\nIf you work in Google Sheets, we would love for you to try SheetWhiz and share feedback on what to build next.\n\nTry it free for 21 days at[ www.sheetwhiz.com](http://www.sheetwhiz.com) (click “Get Chrome Extension)\n\n# Dimely and SheetWhiz: Fixing Spreadsheet for Finance Teams\n\nSheetWhiz emerged alongside Dimely, our AI connected spreadsheet, as part of the same mission: making the spreadsheet experience better for finance teams. Dimely focuses on automating your billing spreadsheet work, while SheetWhiz focuses on improving the daily tooling inside Google Sheets itself. Please reach out if interested in learning more about SheetWhiz or Dimely.",
        "url": "https://www.ycombinator.com/launches/P4x-sheetwhiz-build-better-analyses-in-google-sheets-faster",
        "votes": 16,
        "created_at": "2025-12-27T15:41:41.501Z"
      },
      {
        "id": 82959,
        "title": "Dimely 🪙 - AI Agents for B2B SaaS Finance teams",
        "tagline": "Save hundreds of hours every month automating manual finance tasks.",
        "body": "**TL;DR: **[**Dimely**](https://dimely.co/)** automates and brings visibility to time-consuming, error-prone finance workflows so teams can stay lean, audit-ready, and fully informed. We integrate seamlessly with your existing tech stack — no rip-and-replace needed — so you start seeing results on Day 1.**\n\n👋 Hi all - we’re [David](https://www.linkedin.com/in/davidnpang/) and [Peter,](https://www.linkedin.com/in/p2sun/) and we’re on a mission to save finance teams countless hours of tedious, manual work. After logging countless hours on billing tasks in our previous roles, we decided to build the AI agents we wish we had. Dimely handles the mundane chores, maintains a proper data trail, and keeps a human-in-the-loop to ensure **100% accuracy** and **audit readiness**.\n\n![uploaded image](/media/?type=post&id=82959&key=user_uploads/993872/06c793df-f448-42bf-b06a-4bdda1bb6ce1)\n\n# **❌ Problem: Billing for B2B SaaS is manual and error-prone**\n\nThis is because:\n\n* **Contracts are complex.** Contracts have multiple SKUs, payment schedules, pricing models, and billing metrics\n* **Contracts are unstructured.** Terms are often bespoke and written in by sales teams trying to close deals\n* **Data lives in different places.** Usage-based pricing models in particular, require matching contract data in your CRM with usage data from your data warehouse that is not always accurate or structured in a way that works well for billing \n* **Finance needs are deprioritized.** Engineering typically prioritizes product building and deprioritizes finance initiatives\n* **High finance tech debt.** Billing systems that work early on remain in place for too long because it takes 5+ months to migrate to another system, resulting in a high number of manual workarounds, typically in spreadsheets\n\n# **🏁 Solution: Comprehensive, AI-driven platform to automate and bring visibility to complex finance processes.**\n\nThis is where [Dimely](https://dimely.co/) comes in. We take the tasks that take the most time and automate them while keeping you in the loop. Dimely’s primary areas of focus are:\n\n**✅** Converting contracts to invoices\n\n**✅** Reconciling invoices, contracts, entitlements, and payments\n\n**✅** Calculating overages and invoicing customers (via your billing solution)\n\n**✅** Setting up proper revenue recognition\n\nWhat makes Dimely unique: \n\n* **High time to value.** We integrate within your existing workflows - no need to rip and replace anything\n* **No engineers required.** Set up Dimely through our UI and with natural language\n* **Flexible.** We know billing is heterogeneous, and various companies do things differently. Dimely’s AI copilot understands its workflows and won’t break if something unusual comes up\n\n# **🎇 How it Works:**\n\nHere’s a short demo of a fairly simple but time-consuming workflow where Dimely can assist: creating invoices in your billing solution based on signed contracts\n\n<https://youtu.be/KtA8IlxfVTo>\n\n# **📢 Our Ask:**\n\n* Let us know if you know anyone spending significant time with billing. Specifically, Heads of Finance and Controllers at B2B SaaS startups. We’d love to [chat](https://calendly.com/david-pang-calendar/30min)\n* Follow us on [LinkedIn](https://linkedin.com/company/usedimely) - we have some pretty good content!",
        "url": "https://www.ycombinator.com/launches/La3-dimely-ai-agents-for-b2b-saas-finance-teams",
        "votes": 57,
        "created_at": "2024-08-12T22:42:11.571Z"
      }
    ]
  },
  {
    "id": 29746,
    "name": "Drillbit",
    "slug": "drillbit",
    "former_names": [
      "Dashlar",
      "Brazos.ai",
      "brazos.ai",
      "Brazos.ai"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4419cef5f696d4d8b3e4389332b904cebf532d72.png",
    "website": "https://www.drillbit.com",
    "all_locations": "Austin, TX, USA",
    "long_description": "Residential contractors are drowning in office work. Drillbit automates all of it. We use AI receptionists and an LLM based quoting tool on top of our own CRM to entirely manage jobs from lead, to quote, to scheduling, to staffing, and even collecting payment.",
    "one_liner": "Automating Office Work for Residential Contractors.",
    "team_size": 12,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1721586663,
    "tags": [
      "Home Services",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Active",
    "industries": [
      "B2B",
      "Operations"
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    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
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    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": [
      {
        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "Across the United States, we spend $700B/year on maintaining homes. Half the cost of any given home service is attributed to compensating the work it took just to coordinate that job. We believe that can and should be solved for. Owners need to (and prefer to) remain focused on “the real work” instead of non-value driving efforts. Businesses in this industry provide an essential service to our economy - they maintain our supply of housing - but they are operated in an incredibly manual and wasteful way. We solve that with AI receptionists that can coordinate with each of the parties at every stage in the process. The receptionists can then work with our AI estimators to provide quotes, and together they can use our CRM, project management, and payment solutions to store updates and take action throughout the process."
      },
      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "There are many elements that contribute to the inflated cost of housing and they impact everyone from the homeless, to renters, to homeowners, and investors. An often-overlooked contributor to this cost is the high opEx in owning and maintaining a home. The most wasteful element of that expenditure is not materials or labor - it is compensating businesses for their administrative work (finding, quoting, managing, and coordinating jobs). My dream is to cut out those inefficiencies by bringing true automation to the home service industry. In doing so, we as a society can take a step towards better, more accessible housing."
      }
    ],
    "url": "https://www.ycombinator.com/companies/drillbit",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/drillbit.json",
    "year_founded": 2023,
    "city": "Austin",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/drillbit-ai",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4419cef5f696d4d8b3e4389332b904cebf532d72.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [
      "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/1658e4d58330dcb95b575b0f26739afa2a2740e6.png",
      "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/d335bab982cf38413b17d0df6c357312674d58e0.png"
    ],
    "primary_partner": {
      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
    },
    "founders": [
      {
        "user_id": 1549700,
        "full_name": "Alexander Seutin",
        "title": "Founder/CEO",
        "founder_bio": "Alex graduated from Stanford with a degree in CS & AI. After school, he worked as an engineer at SpaceX, Apple, Rivian, and Built Robotics. Alex is passionate about affordable housing, and after years of doing construction on the side, he merged his passions and started Drillbit. His company seeks to optimize and scale home service businesses through automating their operational & administrative workflows.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/aseutin",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d2e5c53c68c59fecc251e99a4ac16ae4baf041b9.jpg"
      }
    ],
    "jobs": [
      {
        "id": 85660,
        "title": "Software Engineer, Product",
        "url": "https://www.ycombinator.com/companies/drillbit/jobs/kViPFgN-software-engineer-product",
        "location": "Austin, TX, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$125K - $190K",
        "equity_range": "0.05% - 0.20%",
        "experience": "1+ years",
        "visa": "Will sponsor",
        "skills": [
          "React",
          "TypeScript",
          "Distributed Systems",
          "Software Architecture",
          "Serverless",
          "Design systems",
          "Next.js"
        ]
      },
      {
        "id": 85663,
        "title": "Staff Software Engineer, AI ",
        "url": "https://www.ycombinator.com/companies/drillbit/jobs/2wuqVrc-staff-software-engineer-ai",
        "location": "Austin, TX, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$190K - $300K",
        "equity_range": "0.15% - 0.50%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": [
          "React",
          "TypeScript",
          "Distributed Systems",
          "Software Architecture",
          "Serverless",
          "Design systems",
          "Next.js"
        ]
      },
      {
        "id": 85666,
        "title": "Operations Lead (Manager)",
        "url": "https://www.ycombinator.com/companies/drillbit/jobs/W3NauY3-operations-lead-manager",
        "location": "Austin, TX, US",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$100K - $175K",
        "equity_range": "0.05% - 0.20%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": [
          "SQL",
          "Data Modeling",
          "Data Analytics"
        ]
      },
      {
        "id": 85883,
        "title": "Business Operations Analyst",
        "url": "https://www.ycombinator.com/companies/drillbit/jobs/PZYk15f-business-operations-analyst",
        "location": "Austin, TX, US",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$75K - $90K",
        "equity_range": "0.05% - 0.10%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
          "PostgreSQL",
          "Torch/PyTorch",
          "Data Analytics"
        ]
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 82558,
        "title": "Drillbit 🧰 Handling office work for residential contractors",
        "tagline": "Your contractor's AI-powered back office.",
        "body": "### **\\~TLDR\\~**\n\nResidential contractors are drowning in office work that has nothing to do with their core business. [**Drillbit**](https://www.drillbit.com) automates all of it. We use AI receptionists and an LLM based quoting tool on top of our own CRM to entirely manage jobs from lead, to quote, to scheduling, to staffing, and finally payment.\n\n![uploaded image](/media/?type=post&id=82558&key=user_uploads/1549700/acbc535d-4709-4176-a54f-8fe50c23a170)\n\n### **Problem🚨**\n\nResidential contractors provide a critical service to our economy: building and maintaining the supply of housing. Unfortunately, those businesses are still operated in an incredibly manual way. Across the U.S., we spend about $675B/year on simple home maintenance. A significant portion of that cost is attributed to the office work involved with finding, coordinating, and managing those small jobs. Business owners need to (and prefer to) remain focused on the real work instead of non-value-driving efforts.\n\n### **Solution 🏗️**\n\n[**Drillbit**](https://www.drillbit.com) allows contractors to be entirely hands-off, enabling them to focus 100% of their time on their core business. We have built AI receptionists that can coordinate with businesses and homeowners at every stage in the process. The receptionists then work with our AI estimators to provide quotes. Together, they are able to use our CRM, project management, and payment solutions to store updates and take action throughout the process.\n\n### **Landscape ⛰️**\n\nPlatforms that have come before us were able to move service business operations from texting and emailing over to CRMs and project management solutions, but they suffer from massive churn rates. Owners we have spoken with have consistently voiced the feeling that they were “babysitting” the tool. All of that “homework” they had to do entirely undermined the value of the solution in their eyes, and so, most users would abandon the platform. Rather than expecting our users to change their behavior - ie. start using technology that they would rather not be interacting with - we have met them where they are by handling the job coordination in a way that feels familiar to them: offering the ability to talk to your “employees” on the phone like you would a real person, and having those “employees” be able to engage with homeowners over the phone like real people would too.\n\n### **Team 👷👷‍♂️**\n\n[**Alex**](https://www.linkedin.com/in/aseutin) (Stanford CS / AI) spent the first part of his career developing applied AI solutions at SpaceX, Apple, and Rivian. After some time developing robots for industrial construction projects, Alex found a passion for hands-on work and spent a few years renovating old homes and airstreams. During that time, Alex became intimately familiar with the pain points in the construction and home service industries and realized how much of a need there was for better, more automated software. At that point, he decided to merge his passions and set out to build [**Drillbit**](https://www.drillbit.com) to support the folks maintaining America's housing.\n\n![](https://bookface.ycombinator.com/media/?type=post&id=82558&key=user_uploads/1549700/69e0cd13-9458-4048-b7b6-62938dffa061)\n\n### **Ask 🙏**\n\nThe platform has been built, and now we are looking to drive revenue. If you know of any business owners in the industry (plumbers, electricians, house cleaners, lawn care providers, landscapers, tilers, roofers, etc) please introduce us at [**alex@drillbit.com**](mailto:alex@drillbit.com) 🙂\n\n### **Links 🔗**\n\nIn the meantime, we’d love it if you followed our journey:\n\n* [**Company LinkedIn Page**](https://www.linkedin.com/company/98805941/)\n* [**Alex’s LinkedIn Page**](https://www.linkedin.com/in/aseutin/)\n\n& finally, check out our website!\n\n[**https://www.drillbit.com**](https://www.drillbit.com/)\n\nDemo Video:\n\n[**https://youtu.be/bTIP5pk-Ldo**](https://youtu.be/bTIP5pk-Ldo)",
        "url": "https://www.ycombinator.com/launches/LTa-drillbit-handling-office-work-for-residential-contractors",
        "votes": 40,
        "created_at": "2024-07-30T16:16:25.234Z"
      }
    ]
  },
  {
    "id": 29754,
    "name": "Conductor Quantum",
    "slug": "conductor-quantum",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6f87b0dddb05a92646b51780f21648d12f3019bf.png",
    "website": "https://www.conductorquantum.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Conductor Quantum is building quantum superintelligence: AI that operates quantum computers to make scientific discoveries beyond human reach.\r\n\r\nQuantum computers let us understand the world at its most fundamental level, the path to new drugs, new materials, and discoveries no human can reach alone. \r\n\r\nA quantum computer is the perfect simulator of nature: it encodes the logic of reality into a programmable machine, atom by atom, electron by electron. Give AI that simulator and you open the door to discovery.\r\n\r\nThe bottleneck is operating the hardware. Today, engineers spend days or weeks by hand to bring a chip to operating conditions for just two qubits. A qubit is the information-carrying unit of a quantum computer, the equivalent of a bit in a classical one, and a useful machine needs billions. \r\n\r\nRemoving the human from that loop is only half the problem. Every command an AI sends to a quantum computer must be optimised for the specific hardware it runs on.\r\n\r\nWe build the AI that operates quantum computers and tunes every machine it runs on. That is the path to quantum superintelligence.",
    "one_liner": "AI that operates quantum computers for scientific discovery",
    "team_size": 4,
    "industry": "Industrials",
    "subindustry": "Industrials",
    "launched_at": 1718219316,
    "tags": [
      "Hard Tech",
      "Machine Learning",
      "Quantum Computing",
      "Semiconductors",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Active",
    "industries": [
      "Industrials"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": [
      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "Everyone will have access to a quantum computer from their desk."
      }
    ],
    "url": "https://www.ycombinator.com/companies/conductor-quantum",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/conductor-quantum.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/conductorquantum/",
    "x_url": "https://twitter.com/conductorquant",
    "fb_url": null,
    "cb_url": null,
    "github_url": "https://github.com/conductorquantum",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6f87b0dddb05a92646b51780f21648d12f3019bf.png",
    "app_video_url": null,
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    "company_photos": [],
    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
    },
    "founders": [
      {
        "user_id": 1977732,
        "full_name": "Brandon Severin",
        "title": "Founder/CEO",
        "founder_bio": "Building quantum superintelligence.\n\nDuring my PhD at Oxford, I worked with 4 quantum institutions across the globe (IST Austria, Basel, UNSW, Diraq), developing AI for semiconductor quantum device control and published 4 papers on the topic including one in Nature. \n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/brandon-severin/",
        "x_url": "https://twitter.com/BrandonSeverin",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/87d24eacb09bbfa920e690defd179aa0cfe720b2.jpg"
      },
      {
        "user_id": 947594,
        "full_name": "Joel Pendleton",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder of Conductor Quantum, building software for quantum computers. I’ve worked at many deep tech startups and research labs, exploring various quantum computing technologies — from carbon nanotubes to superconducting transmon qubits. I left my PhD at Oxford to start Conductor Quantum.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/joelpendleton/",
        "x_url": "https://twitter.com/joelpendleton",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/eec48af10146303ada5db62e00483a97d82d86a9.jpg"
      }
    ],
    "jobs": [
      {
        "id": 76007,
        "title": "Quantum Engineer (Spin)",
        "url": "https://www.ycombinator.com/companies/conductor-quantum/jobs/mvfbgvb-quantum-engineer-spin",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Electrical",
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        "visa": "US citizen/visa only",
        "skills": [
          "Python",
          "Design systems"
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      {
        "id": 90538,
        "title": "Quantum Engineer (Superconducting)",
        "url": "https://www.ycombinator.com/companies/conductor-quantum/jobs/Gcnhe4e-quantum-engineer-superconducting",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
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      {
        "id": 92445,
        "title": "AI Systems Engineer",
        "url": "https://www.ycombinator.com/companies/conductor-quantum/jobs/bVWYarJ-ai-systems-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
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        "experience": "Any (new grads ok)",
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        "skills": [
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          "Redis",
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        "id": 102431,
        "title": "Quantum Engineer (Neutral Atom)",
        "url": "https://www.ycombinator.com/companies/conductor-quantum/jobs/SjZPBMm-quantum-engineer-neutral-atom",
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        "title": "Quantum Engineer (Ion Trap)",
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        "location": "San Francisco, CA, US",
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        "url": "https://www.ycombinator.com/companies/conductor-quantum/jobs/1vOd00H-executive-assistant-lab-operations-manager",
        "location": "Albuquerque, NM, US",
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      {
        "id": 97009,
        "title": "Coda — Natural language quantum computing",
        "tagline": "Describe your problem and execute it on real quantum computers.",
        "body": "![uploaded image](/media/?type=post&id=97009&key=user_uploads/1977732/6b78d7ee-645f-420a-8e65-86a4e4da0982)\n\n**_TL;DR Quantum computing will not scale if every program is a hand-written circuit. The future is describing what you want a quantum computer to do and letting the system handle the rest._**\n\nHi - We are Brandon and Joel from Conductor Quantum.\n\nWe’re announcing Coda - our natural language interface for quantum computing.\n\nQuantum computers offer a new computing paradigm for simulating the world at the atomic level. This opens up new possibilities in chemistry, materials science, and drug discovery that push beyond what the largest classical supercomputers can handle.\n\n## Problem\n\nUsing quantum computers today requires deep domain expertise and low-level tooling.\n\n## Solution\n\n<https://youtu.be/MocBUZlQlmU>\n\nType your problem into a box, Coda builds the quantum circuit, verifies the code and runs it on current state-of-the-art quantum computers.\n\nIf you’re completely new to quantum, we’ve included a learn mode to get you started. One of the first quantum computers we’re offering on our platform is [Rigetti’s (S14)](https://www.ycombinator.com/companies/rigetti-computing) 84-qubit quantum computer. We also support simulations up to 34 qubits supported by NVIDIA cu-Quantum.\n\n## Why?\n\nWe’re building Coda because we want everyone to be able to access a quantum computer from their desk, as soon as possible.\n\n## What we’ve achieved so far\n\n* Built the first API for low-level silicon quantum chip control.\n* Partnered with quantum chip maker SemiQon and ran our software across 64 of their quantum devices.\n* Shipped quantum control software for companies including Quobly and EeroQ.\n\n## What’s next?\n\n* End-to-end GPU + QPU orchestration, so classical and quantum computation work together in a single workflow.\n* Connecting Coda to our lower-level quantum control and tune-up software, closing the loop from high-level intent to device-level execution.\n* Pushing our control software to larger numbers of qubits as hardware scales.\n\n## Team\n\n![uploaded image](/media/?type=post&id=97009&key=user_uploads/1977732/fca09063-084c-4734-b9ec-0edde6ec9dd3)\n\n[Brandon](https://www.linkedin.com/in/brandon-severin/), CEO, Previously a postdoc at Oxford, with multiple Nature journal publications on silicon quantum computing. Developed early AI systems for automated qubit formation. PhD, Oxford.\n\n[Joel](https://www.linkedin.com/in/joelpendleton/), CTO, Built machine-learning–based control software for superconducting qubits at QuantrolOx, with prior roles at Quantum Motion and C12. MSc Physics, UCL. Left machine learning and quantum computing PhD at Oxford to start Conductor.\n\n[Raymond](https://www.linkedin.com/in/raymond-jow-190654145/), Founding Engineer, Former SpaceX guidance, navigation, and control software engineer whose code flew on 100+ Falcon 9 missions. Previously worked on robotics at NASA and quantum machine learning at Cornell. BS Physics and Computer Science, Harvard.\n\n## Asks\n\n* Join our team. We’re looking for hardcore full-stack quantum engineers who want to work across the entire stack - from device fabrication, fridge wiring to qubit operation. As well as engineers focused on quantum algorithms and applications.\n* Intros to companies based on hard science - think pharma, biotech, materials, chemistry, engineering who are interested in leveraging quantum computing in their workflows.\n* Email us at [founders@conductorquantum.com](mailto:founders@conductorquantum.com) \n* Try Coda here: [https://coda.conductorquantum.com/](https://coda.conductorquantum.com/login)",
        "url": "https://www.ycombinator.com/launches/PEf-coda-natural-language-quantum-computing",
        "votes": 10,
        "created_at": "2026-01-21T17:45:59.744Z"
      },
      {
        "id": 83306,
        "title": "Conductor Quantum - Quantum computers on silicon chips using AI",
        "tagline": "Our AI software creates qubits 1000x faster than current methods.",
        "body": "**Tl;dr:**\n\n* [Conductor Quantum](https://www.conductorquantum.com) is using **AI software** to **create qubits** in **semiconductor chips** to **build quantum computers** at scale.\n* The two founders met during their **PhDs at Oxford**. They have experience at 5 quantum companies and institutions, plus 4 publications between them.\n* Conductor Quantum is launching **the first publicly available API** to **classify quantum transport features in semiconductors**.\n\n# **🧑‍🔬🧑‍💻The Team**\n\nHi - We are Brandon and Joel! We are building Conductor Quantum.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXdZn6_SJC2SQu80WOKYWfJsFE9MCQt2R9PXG6mXNMb3co5B6iBYNZ7ckJ8i8Mgd01fTALt1oZeeLzN19Lc68mTVIqnZZZeJjPQVt_I6ilRcz1m8J-WB-L3xn-zcN4Hci1MBDC6UggpvjN13o_5EMAk3hCWM?key=M7s5FyBBuze--OVSs9y0AQ)\n\nCEO, [Brandon](https://www.linkedin.com/in/brandon-severin/) – Brandon developed **_AI for Quantum Computing in Silicon_** during his **PhD** at **Oxford**. Over the past four years, Brandon has worked with four top quantum research institutions on **software for quantum device control** and has **four publications**, including one in **Nature**.\n\nCTO, [Joel](https://www.linkedin.com/in/joelpendleton/) – Joel has shipped software at **four deep tech companies** and has worked with a series of quantum devices ranging from **carbon nanotubes to superconducting circuits**. Joel studied **Physics at UCL** and **dropped out of his PhD** at **Oxford** to start Conductor Quantum.\n\nDuring Joel’s PhD at **Oxford**, he launched Feynman.ai— an AI science research assistant— with Brandon, which they bootstrapped to **300 signups within a month** of launch.\n\n# **😯 The Problem**\n\n* **Quantum computers** will **revolutionize drug discovery** and **material development** as we will, for the first time, be able to accurately **simulate nature at its most fundamental level**.\n* Leveraging the **trillion-dollar semiconductor** industry, silicon chips offer a **scalable architecture** for building quantum computers.\n\n→ Currently, quantum engineers **spend days, sometimes weeks,** manually configuring silicon chips to **create a single quantum bit (qubit)**, analogous to a bit in a classical computer.\n\n**→ We need millions, if not billions, of qubits** to make a **useful quantum computer.**\n\nAutomation software to create qubits at scale is vital to realize this goal.\n\n# **✅ Our Solution - AI software to create qubits**\n\n* We are building **leading AI software** that creates qubits by **learning and understanding the principles of quantum transport** in semiconductor chips.\n* Our AI software will **replace the human** in the loop, **unlocking rapid qubit generation** and **fabrication feedback iteration cycles**.\n* Automatic qubit creation and control are the foundation of **the first quantum operating system** on **semiconductor chips**.\n\n[Our AI Playground](https://youtu.be/FBeTFudh-Jc)\n\n# **🤝 How You Can Help**\n\n* Sign up for our [**waitlist**](https://www.conductorquantum.com) (Announcements soon!)\n* Quantum engineers who want to get back to building and save themselves 100s of hours per qubit created - Email us at [founders@conductorquantum.com](mailto:founders@conductorquantum.com)\n* We’d love intros to:\n  * Chip designers/verifiers/manufacturers\n  * Anyone who wants to **bring chip manufacturing back to the USA**",
        "url": "https://www.ycombinator.com/launches/Lfe-conductor-quantum-quantum-computers-on-silicon-chips-using-ai",
        "votes": 100,
        "created_at": "2024-08-22T17:05:04.031Z"
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    "long_description": "Pax is the AI-native broker that automates and maximizes tariff refunds through duty drawback. We've helped enterprises recover millions in duties and manage their entire trade compliance operation from one platform.\r\n\r\nEach year, 80% of eligible refunds—equivalent to $15B—go unclaimed. Pax is the first AI-first broker that makes this process transparent and streamline while maximizing all duty saving opportunities.\r\n\r\nWe are two technical founders: Penny got her PhD from MIT and, and was a former research scientist at Amazon & Flexport, where I encountered the problem firsthand. Chris is a second-time founder and former software engineer at Amazon, Brex, and TikTok.",
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    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
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      "name": "Brad Flora",
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        "user_id": 628376,
        "full_name": "Penny Chen",
        "title": "Founder/CEO",
        "founder_bio": "Penny is the Co-Founder and CEO of Pax AI. She has designed and built algorithms for pricing, forecasting, fulfillment, and capacity planning to optimize workflows, costs, and quality across logistics and supply chain. She has extensive experience driving projects at MIT, Flexport, and Amazon, addressing real-world problems through a mixture of AI/ML, statistics, and optimization.",
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        "full_name": "Chris Le",
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        "founder_bio": "Chris is the Co-Founder and CTO of Pax AI.\n\nBefore Pax AI, Chris worked on scaling up Amazon's supply chain network where he was introduced to the logistics space. After Amazon, Chris built the TikTok E-Commerce merchant systems  from 0-1 and took that learning to build Kyros, a live streaming e-commerce platform in Singapore. Most recently, Chris built the financial rewards and billing systems at Brex.",
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        "id": 103766,
        "title": "Software Engineer (Early Career)",
        "url": "https://www.ycombinator.com/companies/pax/jobs/5Schb9r-software-engineer-early-career",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
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        "experience": "Any (new grads ok)",
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        "id": 106436,
        "title": "Software Engineer (Senior)",
        "url": "https://www.ycombinator.com/companies/pax/jobs/5OwUx0O-software-engineer-senior",
        "location": "San Francisco, CA, US",
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        "role_type": "Full stack",
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        "experience": "3+ years",
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    "news": [
      {
        "title": "Pax Raises $4.5M to Transform Duty Drawback | Pax AI",
        "url": "https://www.paxai.com/blog/seed-round",
        "date": "Apr 07, 2025"
      }
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    "launches": [
      {
        "id": 82827,
        "title": "Pax AI - TurboTax for Import Duty Rebate",
        "tagline": "We make import duty rebates a few clicks away, not months, with AI.",
        "body": "TL;DR - Billions of dollars paid on import duties are eligible for return every year, but the claim process is costly and time-consuming. That’s where Pax comes in. We turn complex regulations into algorithms, so importers of all sizes can reclaim the money that's rightfully theirs effortlessly. **We can give sub $50m sales ecommerce brands 3-5% back on their sales**.\n\nHi everyone, we’re Penny and Chris, aka the team behind [Pax](https://www.getpaxai.com/).\n\n![uploaded image](/media/?type=post&id=82827&key=user_uploads/628376/ecb63d9f-1c1a-44f0-9918-ea5377851bdb)\n\n🧠 [Penny](https://www.linkedin.com/in/pennypinyichen/): 8+ years in research, built algorithms for supply chain and logistics @ Flexport, Amazon & MIT. Chat with me about #optimization #sauna #Taiwan.\n\n🎯 [Chris](https://linkedin.com/in/ctle): 6+ years in software engineering, built financial systems and supply chain solutions @ Amazon, Brex & TikTok. Chat with me about #boxing #meditation #Vancouver. \n\n# Problem\n\nU.S. companies spend over $100 billion annually on import taxes. The good news is that Duty Drawback—a tax refund program—lets companies reclaim that cash! Astonishingly, $10 billion (80% of eligible refunds) goes unclaimed each year. Why? The process is a real headache.\n\nToday, dealing with the government and customs brokerages takes months, as they take 10-20% of the refund and refuse to work on claims under $100k. As a result, only large enterprises file drawbacks, leaving smaller businesses out in the cold. With trade wars heating up, duty drawbacks are more important than ever—new rules like Tariff 301 include an additional 25%- 100% duty on $50 billion of Chinese goods. It’s time to make the process simple and accessible!\n\n# Solution\n\nPax creates a [**TurboTax-like experience**](https://youtu.be/UkJRXpiqLTo?si=J_b6BbnXw9erlv-9), requiring no duty drawback expertise. Our product uses AI to handle the heavy lifting of collecting, extracting, and validating data and maximizes claim amounts with optimization algorithms. Pax democratizes duty drawback, enabling importers of all sizes to recover money that is rightfully theirs.\n\nUsing Pax, companies:\n\n* Save hundreds of hours dealing with manual data entry.\n* Reclaim millions of dollars spent on import duties.\n* Full in-suite dashboard and analytic reporting.\n\n😀 **Ask**: If you or any companies you know import goods into the U.S. (e.g., retailers like Nike or manufacturers like Zero Motorcycles) or customs brokerages, we’d love to chat! Please reach us at [founders@getpaxai.com](mailto:founders@getpaxai.com)! ",
        "url": "https://www.ycombinator.com/launches/LXv-pax-ai-turbotax-for-import-duty-rebate",
        "votes": 65,
        "created_at": "2024-08-07T20:17:42.933Z"
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    "id": 29759,
    "name": "David AI",
    "slug": "david-ai",
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    "website": "https://www.withdavid.ai/",
    "all_locations": "San Francisco, CA, USA",
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    "one_liner": "Data for audio AI",
    "team_size": 10,
    "industry": "B2B",
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    "launched_at": 1720661903,
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    "stage": "Growth",
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    "country": "US",
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      "name": "Diana Hu",
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      {
        "user_id": 1793344,
        "full_name": "Tomer Cohen",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder and CEO at David AI. Previously, Chief of Staff at Scale AI and Consultant at McKinsey & Company.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/cohen-tomer/",
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        "user_id": 2048835,
        "full_name": "Ben Wiley",
        "title": "Founder",
        "founder_bio": "Co-founder and CTO at David AI. Previously, at Scale AI - led engineering for Scale’s Public Sector GenAI Platform, Donovan. Before that - SWE at Microsoft.",
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        "id": 70647,
        "title": "Product Engineer",
        "url": "https://www.ycombinator.com/companies/david-ai/jobs/nBFCaze-product-engineer",
        "location": "San Francisco, CA, US",
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          "TypeScript",
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        "id": 70674,
        "title": "Data Product Operations Lead",
        "url": "https://www.ycombinator.com/companies/david-ai/jobs/cKdFdzD-data-product-operations-lead",
        "location": "San Francisco, CA, US / New York, NY, US",
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        "title": "General Manager, Data Operations",
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        "location": "San Francisco, CA, US / New York, NY, US",
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        "experience": "Any (new grads ok)",
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        "id": 102392,
        "title": "Staff Product Engineer, Full Stack",
        "url": "https://www.ycombinator.com/companies/david-ai/jobs/veokREl-staff-product-engineer-full-stack",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$195K - $315K",
        "equity_range": "",
        "experience": "8+ years",
        "visa": "US citizen/visa only",
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      },
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        "id": 104338,
        "title": "Senior Technical Sourcer",
        "url": "https://www.ycombinator.com/companies/david-ai/jobs/ZRIXHXs-senior-technical-sourcer",
        "location": "San Francisco / New York City",
        "type": "Full-time",
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        "salary_range": "$140K - $170K",
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        "id": 104494,
        "title": "Product Engineer, Frontend",
        "url": "https://www.ycombinator.com/companies/david-ai/jobs/dGDmnGI-product-engineer-frontend",
        "location": "San Francisco",
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        "experience": "5+ years",
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        "url": "https://www.ycombinator.com/companies/david-ai/jobs/q8BctfF-chief-of-staff-to-the-ceo",
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    "id": 29760,
    "name": "Mage Legal",
    "slug": "mage-legal",
    "former_names": [
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      "Modern Realty"
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    "website": "https://magelegal.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Comprehensive AI coverage across your entire data room. Surface red and yellow flags, draft memos, compare redlines, and ensure nothing falls through the cracks.",
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    "subindustry": "B2B -> Legal",
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    "tags": [
      "Legal",
      "LegalTech",
      "AI"
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    "top_company": false,
    "isHiring": true,
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    "batch": "Summer 2024",
    "status": "Active",
    "industries": [
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      "Legal"
    ],
    "regions": [
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      "America / Canada"
    ],
    "stage": "Early",
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    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/the-mage-legal",
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    "fb_url": null,
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f4df5aefb249191ba91c6bf450182a3b87c6d5d9.png",
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      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
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    "founders": [
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        "full_name": "Raffi Isanians",
        "title": "Founder",
        "founder_bio": "CEO & Founder of Mage Legal",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/raffi-isanians/",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/afd5d6862f56b361c315c675f1ed7d95eeffdc2b.jpg"
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    "jobs": [
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        "id": 66546,
        "title": "Founding AI Engineer",
        "url": "https://www.ycombinator.com/companies/mage-legal/jobs/SPM0oEc-founding-ai-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$100K - $150K",
        "equity_range": "0.50% - 2.50%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
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        ]
      },
      {
        "id": 84559,
        "title": "Founding Front End Engineer",
        "url": "https://www.ycombinator.com/companies/mage-legal/jobs/oQEAawK-founding-front-end-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Frontend",
        "salary_range": "$100K - $150K",
        "equity_range": "1.50%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
          "React",
          "TypeScript",
          "Next.js"
        ]
      },
      {
        "id": 84560,
        "title": "Founding Designer",
        "url": "https://www.ycombinator.com/companies/mage-legal/jobs/HQwuocB-founding-designer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Design",
        "role_type": "UI / UX",
        "salary_range": "$80K - $130K",
        "equity_range": "1.50%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
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        "id": 84660,
        "title": "Founding Marketer/Head of Growth",
        "url": "https://www.ycombinator.com/companies/mage-legal/jobs/vo0P8dR-founding-marketer-head-of-growth",
        "location": "San Francisco, CA, US",
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        "experience": "3+ years",
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        "id": 90434,
        "title": "Founding Design Engineer",
        "url": "https://www.ycombinator.com/companies/mage-legal/jobs/tw6C54W-founding-design-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
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        "title": "Should you use AI to buy your home? Here's what some say",
        "url": "https://www.usatoday.com/story/money/personalfinance/real-estate/2024/10/07/should-you-use-ai-to-buy-home/75511235007/",
        "date": "Oct 07, 2024"
      },
      {
        "title": "Are AI real estate agents the future for homebuyers? These firms think so - HousingWire",
        "url": "https://www.housingwire.com/articles/are-ai-real-estate-agents-the-future-for-homebuyers-these-firms-think-so/",
        "date": "Aug 28, 2024"
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    ],
    "launches": [
      {
        "id": 97352,
        "title": "Mage: Legal Diligence for M&A and Financings. Minutes, Not Days.",
        "tagline": "Turn data rooms into deal intelligence.",
        "body": "Hi All!\n\n**TL;DR:** We automate legal diligence for ECVC and M&A attorneys. Upload a data room, get flagged issues, and client-ready reports in minutes instead of days.\n\n---\n\n## What Mage Does\n\nMage is AI legal diligence software for attorneys. We scan entire data rooms, flag issues, and generate diligence reports in minutes instead of days.\n\n**Document Processing**: Automatically classify hundreds of documents by type (NDA, employment agreement, IP assignment, option grant, etc.) and route for analysis.\n\n![uploaded image](/media/?type=post&id=97352&key=user_uploads/688868/b261058b-62cd-4988-a24d-2502fdad4753)\n\n**Tabular Extraction**: Extract key provisions from every contract into a structured grid. Red and yellow flags highlight issues requiring attention: liability caps, change of control triggers, assignment restrictions, IP ownership gaps.\n\n![uploaded image](/media/?type=post&id=97352&key=user_uploads/688868/4143a0a6-391f-4943-8edf-3333f97ca3b2)\n\n**Issue Flagging**: Identify problems before they delay closing. Cap table discrepancies, missing contracts, and non-standard terms.\n\n![uploaded image](/media/?type=post&id=97352&key=user_uploads/688868/c9c16c14-099a-480d-9aa0-c43dfb726bb5)\n\nand disclose schedules (see below). Full coverage. No spot-checking. Better results for your clients.\n\n---\n\n## For M&A Attorneys\n\nLarger data rooms. Compressed timelines. Mage enables your team to handle more deals without adding headcount.\n\n**Memo Generation**: Generate client-ready diligence memos organized by practice group. Includes executive summaries, flagged issues, and document references.\n\n![uploaded image](/media/?type=post&id=97352&key=user_uploads/688868/8975c025-50b4-49e7-82ea-fc374ba8ccd4)\n\n**Redline Comparison**: Track changes across negotiation rounds. Identify exactly what moved between versions.\n\n![uploaded image](/media/?type=post&id=97352&key=user_uploads/688868/40ac5584-ca4d-4bdd-8e11-43e3b037ee97)\n\n**Disclosure Schedules**: Auto-populate disclosure schedules from the merger agreement and data room. AI provides reasoning for each classification. Attorneys review and finalize.\n\n![uploaded image](/media/?type=post&id=97352&key=user_uploads/688868/79638d51-f525-455f-8af6-976c8611e2fb)\n\nService more clients with your current team. Handle capacity spikes without scrambling for resources.\n\n---\n\n## Coming Soon: Capital Markets\n\nMage is expanding to capital markets transactions: IPOs, debt offerings, and secondary offerings.\n\nContact us for early access.\n\n---\n\n## Results\n\n  - **Scope**: Go from limited review under time pressure to full data room coverage\n\n  - **Output quality**: Replace bandwidth-dependent work with consistent, thorough analysis\n\n  - **Capacity**: Scale without adding headcount instead of being constrained by associate availability\n\n  - **Turnaround**: 6 hours instead of 3-4 days\n\n---\n\n## About\n\nMage was founded by Raffi Isanians (S24), formerly an M&A and startup attorney at Kirkland & Ellis, Gunderson Dettmer, and Goodwin. \n\n---\n\n**Website**: [magelegal.com](https://magelegal.com)\n\n**Contact**: [founders@magelegal.com](mailto:founders@magelegal.com)",
        "url": "https://www.ycombinator.com/launches/PKC-mage-legal-diligence-for-m-a-and-financings-minutes-not-days",
        "votes": 8,
        "created_at": "2026-01-31T15:47:06.857Z"
      }
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    "id": 29764,
    "name": "Zeit AI",
    "slug": "zeit-ai",
    "former_names": [
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a8b12b6d63b7ef88542a88cfd73009aa6a48073f.png",
    "website": "https://zeit-ai.com/",
    "all_locations": "Munich, BY, Germany",
    "long_description": "Ask a question in plain English and ZeitMind connects SAP, your ERP, CRM, HR systems and 600+ other sources, prepares the messy data, and turns it into the live applications your teams actually make decisions with.\r\n\r\nIt is built for the finance, controlling, procurement, supply chain and sales teams at companies that run enterprise systems without an enterprise data team.",
    "one_liner": "The autonomous data engineer for the mid-market",
    "team_size": 12,
    "industry": "B2B",
    "subindustry": "B2B -> Analytics",
    "launched_at": 1722311835,
    "tags": [
      "SaaS",
      "B2B",
      "Analytics",
      "Data Engineering",
      "AI"
    ],
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Active",
    "industries": [
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      "Analytics"
    ],
    "regions": [
      "Germany",
      "Europe",
      "Remote",
      "Partly Remote"
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    "stage": "Early",
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    "question_answers": [
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        "answer": "For years we worked side by side at Palantir, building with some of the largest industrial companies on the continent. Leopold led the established customer business across Germany, Austria and Switzerland. Marvin owned and deployed the first instances of what became the Artificial Intelligence Platform (AIP). Together we shipped projects that turned into more than €50M in new revenue.\r\n\r\nIn summer 2024 we left. We had seen what forward-deployed engineers do for large enterprises, and one thing kept showing up: the people who actually run a business, the heads of controlling, the buyers, the plant managers, are still moving data by hand. The signal sits in the ERP, in the CRM, and in a dozen tools that do not talk to each other. So decisions get made in spreadsheets and on gut feel. The gap between the two is where companies lose time, money and confidence.\r\n\r\nWith today’s frontier models that work can finally be done at software scale. So we are building the autonomous data engineer for the mid-market. ZeitMind connects SAP, your ERP, CRM, HR systems and 600+ other sources, prepares the messy data, and turns everyday business questions into live dashboards, reports and applications, all in natural language.\r\n\r\nWe joined Y Combinator in S24, put it in front of real controlling, procurement and supply chain teams, and went from zero to €1M ARR in twelve months with six people, customers live in weeks and no IT support needed. Today we are 12 engineers, builders and operators across Munich and London."
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        "title": "📈💡Zeit AI: Insights from your tabular data with just a few words",
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        "body": "### **🏆 TLDR**\n\n[Zeit AI](https://www.zeit-ai.com/) is ChatGPT for enterprise tables. You can sync tables from your data bases, ERP systems, CRMs, CSVs and more. Atop of these tables, simple questions in natural language can be used to locate data, combine it, generate analyses, or even charts. All results are repeatable and explainable. They can be exported at the click of a button. [Watch our demo!](https://youtu.be/u3NcYh4zCz4)\n\n# 🧑‍💻🌟 **The Team**\n\nTogether, [Marvin](https://www.linkedin.com/in/mcbornstein/) and [Leopold](https://www.linkedin.com/in/v-waldthausen/) have over 15 years of combined experience in data engineering and analytics. During our four years side-by-side at Palantir, we led high-impact projects, building an AI rule-engine and generating over €50 million in novel project revenue. We saw first-hand how corporates heavily relied on Excel files, leading to manual work to analyse and combine data. A solution like Zeit AI would have been a game-changer in accessing this data at scale.\n\n![uploaded image](/media/?type=post&id=83344&key=user_uploads/1927760/4024d05f-c883-4ea7-8053-a6e3eb0fdf7b)\n\n# ⚠️ **Problem**\n\nNon-technical users find it challenging to access and analyse enterprise data. Yet, making data-driven decisions is crucial in today’s fast-paced world.\n\n1. Data is stored in files rather than structured databases.\n2. Databases cannot be accessed by non-technical users.\n3. Data often needs to be exported and manually combined in Excel.\n\n# 💡 **Solution**\n\nZeit AI allows non-technical users to derive ad-hoc insights from tables using natural language. This is possible in just three steps.\n\n1. Sync data files directly from your source systems (We support data bases, ERP, CRM and even CSV uploads).\n2. A structured cloud database is instantly generated and ready to be explored.\n3. Use natural language to seamlessly derive insights from the data.\n\n![uploaded image](/media/?type=post&id=83344&key=user_uploads/1927760/e6ce9c09-e77a-419e-8fae-adda888b1612)\n\n# 🛠️ **How Zeit AI is Used Today**\n\n**Procurement** 🛒 Gaining the upper hand during negotiations by having ad-hoc access to all historical procurement data.\n\n**Consulting** 🗂️ Rapidly explore and analyse data rooms and client files using natural language to confidently deliver value to clients.\n\n**Controlling** 📊 Access extracts from accounting systems and seamlessly combine them with files across departments for comprehensive financial control.\n\n# ✅ **Ask**\n\n[Book a slot](https://calendly.com/leopoldwaldthausen/deploy-zeit-ai) with us to explore using Zeit AI. Refer us to procurement managers and senior consultants. ([founders@zeit-ai.com](mailto:founders@zeit-ai.com))\n\nGet on a [30-minute call](https://calendly.com/leopoldwaldthausen/zeit-ai-demo-booking) with us for a live demo or free office hours for anyone struggling to easily access tabular data at scale.",
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        "experience": "Any (new grads ok)",
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        "title": "Social Copywriter",
        "url": "https://www.ycombinator.com/companies/emergent/jobs/J5SbopH-social-copywriter",
        "location": "Bangalore",
        "type": "Full-time",
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        "experience": "Any (new grads ok)",
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      },
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        "id": 110251,
        "title": "Video Editor",
        "url": "https://www.ycombinator.com/companies/emergent/jobs/cOXNAGa-video-editor",
        "location": "Bangalore",
        "type": "Full-time",
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        "experience": "Any (new grads ok)",
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      },
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        "id": 110571,
        "title": "Program Manager - Founder Branding",
        "url": "https://www.ycombinator.com/companies/emergent/jobs/FPiHOfM-program-manager-founder-branding",
        "location": "Bangalore",
        "type": "Full-time",
        "role": "Operations",
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        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
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      },
      {
        "id": 110572,
        "title": "Sales Development Representative - SMB",
        "url": "https://www.ycombinator.com/companies/emergent/jobs/c7bIRdR-sales-development-representative-smb",
        "location": "Bangalore",
        "type": "Full-time",
        "role": "Sales",
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        "experience": "Any (new grads ok)",
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        "skills": []
      },
      {
        "id": 110573,
        "title": "Software Engineering Intern",
        "url": "https://www.ycombinator.com/companies/emergent/jobs/n4zvXmy-software-engineering-intern",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
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        "experience": "Any (new grads ok)",
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      },
      {
        "id": 110795,
        "title": "Software Engineer - Backend",
        "url": "https://www.ycombinator.com/companies/emergent/jobs/roFdKl6-software-engineer-backend",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
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        "experience": "Any (new grads ok)",
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      },
      {
        "id": 110835,
        "title": "Senior Software  Engineer - Application Security",
        "url": "https://www.ycombinator.com/companies/emergent/jobs/L5QyggK-senior-software-engineer-application-security",
        "location": "Bangalore",
        "type": "Full-time",
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        "experience": "5+ years",
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        "id": 110836,
        "title": "Senior Software  Engineer - Infrastructure Security",
        "url": "https://www.ycombinator.com/companies/emergent/jobs/6xq7nYz-senior-software-engineer-infrastructure-security",
        "location": "Bangalore",
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        "url": "https://www.ycombinator.com/companies/emergent/jobs/oDgLD3v-staff-engineer-security",
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        "type": "Full-time",
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        "url": "https://www.ycombinator.com/companies/emergent/jobs/mJgrYsd-finance-manager",
        "location": "Bangalore",
        "type": "Full-time",
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        "id": 111955,
        "title": "Finance Manager - R2R",
        "url": "https://www.ycombinator.com/companies/emergent/jobs/vMDkxw8-finance-manager-r2r",
        "location": "Bangalore",
        "type": "Full-time",
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        "id": 113275,
        "title": "Engineering Manager ",
        "url": "https://www.ycombinator.com/companies/emergent/jobs/1QGT7wY-engineering-manager",
        "location": "Bangalore",
        "type": "Full-time",
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        "visa": "US citizen/visa only",
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      },
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        "id": 113276,
        "title": "HRBP Lead - Sales/ GTM",
        "url": "https://www.ycombinator.com/companies/emergent/jobs/ZQQKMsK-hrbp-lead-sales-gtm",
        "location": "Bangalore",
        "type": "Full-time",
        "role": "Sales",
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        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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      },
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        "id": 113277,
        "title": "Senior Software Engineer - Backend ",
        "url": "https://www.ycombinator.com/companies/emergent/jobs/peejp5T-senior-software-engineer-backend",
        "location": "Bangalore",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
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        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 113278,
        "title": "Talent Acquisition Lead - Sales/ GTM",
        "url": "https://www.ycombinator.com/companies/emergent/jobs/4TJXDF9-talent-acquisition-lead-sales-gtm",
        "location": "Bangalore",
        "type": "Full-time",
        "role": "Sales",
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        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 114294,
        "title": "Influencer Marketing Leader",
        "url": "https://www.ycombinator.com/companies/emergent/jobs/WE6EUm1-influencer-marketing-leader",
        "location": "Bangalore",
        "type": "Full-time",
        "role": "Marketing",
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        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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      },
      {
        "id": 114295,
        "title": "Legal Associate",
        "url": "https://www.ycombinator.com/companies/emergent/jobs/vIJA5Ew-legal-associate",
        "location": "Bangalore",
        "type": "Full-time",
        "role": "Operations",
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        "salary_range": "",
        "equity_range": "",
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      },
      {
        "id": 114296,
        "title": "Legal Counsel",
        "url": "https://www.ycombinator.com/companies/emergent/jobs/UUuKAMg-legal-counsel",
        "location": "Bangalore",
        "type": "Full-time",
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        "title": "Forward Deployed Engineer (FDE)",
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        "location": "Bangalore",
        "type": "Full-time",
        "role": "Engineering",
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        "id": 114962,
        "title": "Performance Marketing Leader",
        "url": "https://www.ycombinator.com/companies/emergent/jobs/UAtK3cC-performance-marketing-leader",
        "location": "Bangalore",
        "type": "Full-time",
        "role": "Marketing",
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      },
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        "id": 115220,
        "title": "Motion Designer ",
        "url": "https://www.ycombinator.com/companies/emergent/jobs/j60QDUx-motion-designer",
        "location": "Bangalore",
        "type": "Full-time",
        "role": "Design",
        "role_type": "Web design",
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      },
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        "id": 115221,
        "title": "Senior Software Engineer - GRC ",
        "url": "https://www.ycombinator.com/companies/emergent/jobs/ckvNSIC-senior-software-engineer-grc",
        "location": "Bangalore",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
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        "experience": "5+ years",
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        "title": "UX Writer",
        "url": "https://www.ycombinator.com/companies/emergent/jobs/IxTwWia-ux-writer",
        "location": "Bangalore",
        "type": "Full-time",
        "role": "Design",
        "role_type": "Web design",
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        "experience": "Any (new grads ok)",
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        "title": "Staff Engineer - Frontend ",
        "url": "https://www.ycombinator.com/companies/emergent/jobs/Edty5vC-staff-engineer-frontend",
        "location": "Bangalore / Remote (US)",
        "type": "Full-time",
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        "title": "Influencer Marketing Specialist",
        "url": "https://www.ycombinator.com/companies/emergent/jobs/KYGnCAQ-influencer-marketing-specialist",
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        "title": "Account Executive - SMB",
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        "id": 117039,
        "title": "Culture Amplifier",
        "url": "https://www.ycombinator.com/companies/emergent/jobs/QRETUkb-culture-amplifier",
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        "type": "Full-time",
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        "title": "Engineering Manager, QA",
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    "news": [
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        "title": "Indian AI coding startup Emergent becomes a unicorn with $130M Series C | TechCrunch",
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      {
        "title": "Emergent: The AI App Builder for Everyone",
        "url": "https://www.youtube.com/watch?v=QkKeu1AyCQ0",
        "date": "Oct 16, 2025"
      },
      {
        "title": "Emergent raises $23M from Lightspeed to let consumers build apps | TechCrunch",
        "url": "https://techcrunch.com/2025/09/24/emergent-raises-23m-from-lightspeed-to-let-consumers-build-apps/",
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        "id": 90629,
        "title": "Emergent: Build Ambitious Apps 🚀",
        "tagline": "World’s first agentic vibe-coding platform ",
        "body": "# **TL;DR:**\n\nEmergent is the best vibe coding tool for transforming your ideas into fully functional, production-ready apps. No developers are required.\n\n# **🚀 Introducing Emergent 🚀**\n\nEmergent is your on-demand CTO and founding engineer, reinventing product development. Our state-of-the-art (SOTA) coding agents deliver production-ready, full-stack applications with stunning UI and real backend, transforming ideas into market-ready products. No developers are required.\n\nWe go beyond just prototypes and mockups. Emergent ships fully functional apps with real backend, databases, and integrations -- built and deployed without ever leaving the platform.\n\nhttps://youtu.be/lT2dRng4fc0\n\n### **😖 The Problem:**\n\nShipping products is hard for non-technical builders, due to expensive engineering talent, inflexible no-code platforms, or AI tools that produce half-baked prototypes. As a result, most ideas never make it past the whiteboard or overcome the barriers to real-world execution.\n\n### **🤓 Our Solution:**\n\nEmergent redefines how a product gets built. At its core, Emergent is more than a coding assistant. It's a fully integrated platform that autonomously builds, tests, and ships software. What Emergent stands for: \n\n* Conversation-to-code transformation: Describe your product in plain language — Emergent handles architecture, logic, and implementation.\n* Fully Autonomous End-to-End Development: Our agents plan, build, test, and debug apps fully autonomously to produce shippable apps.\n* Built-in deployment: Ship fast and learn faster. Emergent manages the entire product lifecycle, from concept to customers.\n\n### **👷🏽 Why We're Building This**\n\nEmergent aims to democratize access to advanced software creation, empowering new builders to turn their visions into reality without traditional barriers. We’ve watched great ideas get stuck on whiteboards because building them was too hard, expensive, or slow. As engineers and builders, we saw that AI could change this by writing code, truly understanding what’s needed, and building complete solutions.\n\n![uploaded image](/media/?type=post&id=90629&key=user_uploads/529149/9ae44e4c-78fd-4811-9566-0f53818ded4c)\n\n### **🥷🏼 Emergent In Action**\n\nJust two weeks after our alpha launch, users built over 10,000 apps on Emergent. These range from simple, elegant landing pages to complex SaaS tools like AI notetakers, Slack bots, and Figma plugins — endless possibilities.\n\nHere are some apps built by our users:\n\n* https://youtu.be/coGyUTUrpJY\n* https://youtu.be/yXdk_feMJ4E\n* https://youtu.be/etipqXln6zY\n\n_Please note: Emergent is still invite-only, but we’ll be launching to the public soon. Want early access? Use code: #**EMERGENTFORYC**_\n\n### **🦄 Team**\n\nEmergent was founded by twin brothers **Mukund Jha (CEO)** and **Madhav Jha (CTO)**, who are dedicated to democratizing product development and making it more accessible.\n\n* Mukund was previously Co-Founder/CTO at Dunzo -- India's first quick commerce offering (backed by Google and Reliance). He is a graduate of Columbia Engineering and has experience working at Google.\n* Madhav got his PhD in Theoretical Computer Science from Penn State University and was a von Neumann postdoctoral fellow at Sandia National Labs. He was the founding member of the research team that built and shipped Amazon Sagemaker.\n\nOutside of work, the Jha brothers enjoy spending time with family and friends in both San Francisco and Bengaluru.\n\n![uploaded image](/media/?type=post&id=90629&key=user_uploads/529149/7a9a91b8-2795-4fb5-87a5-14fc77d238c3)\n\nxoxo\n\nTeam Emergent 🫡\n\n![uploaded image](/media/?type=post&id=90629&key=user_uploads/529149/7f26b476-30f1-47f5-bbe1-b042c03c58a5)\n\n",
        "url": "https://www.ycombinator.com/launches/NZl-emergent-build-ambitious-apps",
        "votes": 305,
        "created_at": "2025-05-23T16:02:05.744Z"
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      "url": "https://www.ycombinator.com/people/aaron-epstein"
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        "full_name": "Carl Peterson",
        "title": "Founder/CEO",
        "founder_bio": "CEO of Thunder Compute, formerly Management Consultant at Bain",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/cpeterson42",
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        "full_name": "Brian Model",
        "title": "Founder/CTO",
        "founder_bio": "CTO of Thunder Compute, formerly Quantitative Developer at Citadel Securities",
        "is_active": true,
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    "jobs": [
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        "id": 79986,
        "title": "Cloud Infrastructure Engineer",
        "url": "https://www.ycombinator.com/companies/thunder-compute/jobs/dtlQhtw-cloud-infrastructure-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$1",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": [
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      },
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        "id": 82422,
        "title": "Systems Software Engineer (C++)",
        "url": "https://www.ycombinator.com/companies/thunder-compute/jobs/SZq8TQx-systems-software-engineer-c",
        "location": "San Francisco, CA, US",
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        "experience": "1+ years",
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        "skills": [
          "C++",
          "TCP/IP",
          "Linux",
          "Distributed Systems"
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      }
    ],
    "news": [
      {
        "title": "Thunder Compute raises $13M to squeeze more work out of idle GPUs - SiliconANGLE",
        "url": "https://siliconangle.com/2026/08/19/thunder-compute-raises-13m-squeeze-work-idle-gpus/",
        "date": "Aug 19, 2026"
      },
      {
        "title": "Thunder Compute Raises $500K to Advance GPU Access for AI Developers | citybiz",
        "url": "https://www.citybiz.co/article/575672/thunder-compute-raises-500k-to-advance-gpu-access-for-ai-developers/",
        "date": "Jul 10, 2024"
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      {
        "id": 82910,
        "title": "Thunder Compute: Launch GPU instances in one click for 80% less",
        "tagline": "Self-serve GPUs in VS Code with persistent storage, snapshots, and hot-swappable hardware, for 80% less than AWS",
        "body": "![uploaded image](/media/?type=post&id=82910&key=user_uploads/1276433/30b5b896-6109-4aa6-8a05-fb9a138f61a8)\n\n### **The backstory**\n\nHi everyone, we’re Carl and Brian, aka the team behind [Thunder Compute.](https://thundercompute.com)\n\n![uploaded image](/media/?type=post&id=82910&key=user_uploads/1276433/07db7c92-f1f2-4356-80f8-9dabf9c2fbcd)\n\nBefore Thunder Compute, [Carl](https://www.linkedin.com/in/cpeterson42) was a Management Consultant at Bain & Company, and [Brian](https://www.linkedin.com/in/brian-model/) was a Quantitative Developer at Citadel Securities. Carl and Brian met at Georgia Tech and have been close friends for over 6 years.\n\n### **Problem**\n\nGPU access sucks. Today’s options are expensive and hard to use. Developers are crowded out of the market by large corporations and can’t get the GPUs they need for reasonable prices. Even if you can afford GPUs, they are scarce and hard to use.\n\n### **Solution**\n\nThunder Compute sells cloud GPUs for the lowest rates on the market and provides a simple interface to access them.\n\nYou can connect in one click through VSCode, without SSH. We have “prototyping” mode, with prices 50% lower than anywhere else, and “production” mode, with higher uptime and multi-GPU nodes.\n\n### **Our offer**\n\nSimple: low-cost, easy GPUs. \\\n\\\nIf you’re looking for a better GPU cloud, join Thunder Compute’s public beta today at [www.thundercompute.com](https://www.thundercompute.com).\\\n\\\nIf you have questions, need technical support, or want to rant about the current state of GPUs, join our discord at [**https://discord.gg/nwuETS9jJK**](https://discord.gg/nwuETS9jJK) or contact us at [**founders@thundercompute.com.**](https://mailto:founders@thundercompute.com/)",
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    "long_description": "Enterprises have millions of customer interactions every year but are only able to monitor less than 2-5% of those. The rest 95% is unmonitored risk across compliance, customer experience, product defects, and agent performance. With AI agents widely deployed across customer support organisations this problem increases exponentially. Every company needs a unified layer that allows them to monitor and govern all customer interactions with customer support teams, humans and AI. Intryc is building this layer. ",
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    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/intryc/",
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    ],
    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
    },
    "founders": [
      {
        "user_id": 1341483,
        "full_name": "Alex Marantelos",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder and CEO of Intryc. Previously led Customer Success in Northern Europe for Confluent, overseeing $40M+ in ARR across strategic customers. Worked closely with Confluent's executive team to define everything that touches landing, onboarding, expanding, and renewing customers. Before that, first Enterprise Customer Success Manager in EMEA for Navan (fka TripActions) establishing the EMEA first team and presence.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/ioannis-alexandros-marantelos",
        "x_url": "https://x.com/alexmarantelos?lang=en",
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      },
      {
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        "full_name": "George Pastakas",
        "title": "Founder/CPO",
        "founder_bio": "Co-founder and CPO of Intryc. Previously, #1 employee at Pledge (data science and engineering), led fraud detection at Revolut (ML models, algorithms and operations).",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/georgepastakas",
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        "id": 66893,
        "title": "Fullstack Software Engineer",
        "url": "https://www.ycombinator.com/companies/intryc/jobs/Lr6k3V0-fullstack-software-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$140K - $180K",
        "equity_range": "0.20% - 0.30%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
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          "Flask",
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        "title": "Machine Learning Engineer",
        "url": "https://www.ycombinator.com/companies/intryc/jobs/39DcEk8-machine-learning-engineer",
        "location": "San Francisco, CA, US / Remote (US; GB; GR)",
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      },
      {
        "id": 73635,
        "title": "Senior Product Designer",
        "url": "https://www.ycombinator.com/companies/intryc/jobs/xrvcSVT-senior-product-designer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
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        "role_type": null,
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        "skills": [
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      },
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        "title": "Head of Marketing",
        "url": "https://www.ycombinator.com/companies/intryc/jobs/bxXF0vV-head-of-marketing",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$150K - $180K",
        "equity_range": "0.30% - 0.70%",
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        "skills": [
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          "Figma"
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      },
      {
        "id": 89169,
        "title": "Customer Success Manager",
        "url": "https://www.ycombinator.com/companies/intryc/jobs/Dp2lPsH-customer-success-manager",
        "location": "US / Remote (US)",
        "type": "Full-time",
        "role": "Support",
        "role_type": null,
        "salary_range": "$80K - $120K",
        "equity_range": "",
        "experience": "3+ years",
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      },
      {
        "id": 93459,
        "title": "Senior Fullstack Software Engineer",
        "url": "https://www.ycombinator.com/companies/intryc/jobs/hJO8Wet-senior-fullstack-software-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $220K",
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        "experience": "3+ years",
        "visa": "US citizen/visa only",
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    ],
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      {
        "title": "Intryc raises $3.1M for customer service monitoring software - Tech.eu",
        "url": "https://tech.eu/2025/01/23/intryc-raises-3-1m-for-customer-service-monitoring-software/",
        "date": "Jan 23, 2025"
      }
    ],
    "launches": [
      {
        "id": 94385,
        "title": "Intryc: AI Simulations and QA for CX Teams",
        "tagline": "All-in-one Quality Assurance and Training Platform for world-class CX Teams",
        "body": "Hi YC community!\n\nTeam Intryc (S24) here and excited to show you the second and most upgraded iteration of our product, already used by billion dollar companies like [Deel.com](http://Deel.com) and Blueground as well as hypergrowth startups like Fyxer AI and Factorial.\n\n| The Team |\n\nFor those who don’t know us yet, our team spent 8+ years in the CX space. We’ve solved support tickets, managed accounts, built cross-country/continent teams and created entire playbooks and processes of how world-class CX teams should interact and support customers across the globe in our previous employers at Revolut, Confluent, Navan, Meta, Amazon.\n\n| The Problem |\n\nCreating a culture of operational excellence, overachieving, and top performance is one of the toughest challenges every company and leadership team face.\n\nEspecially in CX, every customer interaction can make or break that customer trust and turn into a nightmare or opportunity. There’s two sides to this problem. Lack of visibility and time to action.\n\nWe solved the first half during our S24 batch when we released our AI QA tool for CX teams that allows companies to monitor up to 100% and the most important samples of their customer interactions. Moving onto the second half, CX and Learning & Development managers spend 15+ hours per week building performance improvement material, aligning resources, and ensuring agents, CSMs, and adjacent CS Ops teams are well trained and prepared. Through role plays, shadowing, piecing together training material, reiterating, and updating the relevant resources - all critical activities yet still remain highly manual, unscalable, and more often than not outdated and simplistic. 2 out of 3 customers churn after a single negative support interaction. Training and coaching is more often than not limited, reactive, time-consuming, and inconsistent.\n\n| The Solution |\n\nRealistic Simulations: Agents practise on challenging, real-life scenarios (based on past tickets) in a safe environment. Low stakes, high gains!\n\nAutomated Scoring: Every interaction is measured against your org’s policies & playbooks, with unlimited tries and clear graduation paths. No more guesswork, team members get instant and clear feedback.\n\n![uploaded image](/media/?type=post&id=94385&key=user_uploads/1341483/db13b953-549f-4336-95a6-c394e5de273b)\n\nTargeted Coaching: Managers instantly see who needs help and where, cutting wasted training time. Enough with one-size fits all, different people need help in different areas.\\\n\\\nAlways Improving: Both new joiners and seasoned agents keep up-to-date with new products or processes effortlessly.\n\n![uploaded image](/media/?type=post&id=94385&key=user_uploads/1341483/68f1a2c1-1c0f-4b44-833b-4c4533e2d3a6)\n\nContinuous monitoring and process improvement: All data points are collected in personalised dashboards and reports that create a virtuous cycle of improvement across the team while completely eliminating up to 80% of manual preparation work and continuous manual data gathering and reporting across the organisation. Systems over wishful thinking.\n\n![uploaded image](/media/?type=post&id=94385&key=user_uploads/1341483/3a7b12dc-7bf0-4904-9e84-ed0a38cd5517)\n\nThe first results on our early adopters show onboarding and training time reduced by up to 50%. Managers reclaim 12–15 hours per week.\n\nAgents have a lot more visibility on their performance progress, don’t have to guess any more and continuously improve like having a personal coach in their pocket.\n\nWe’re excited for as many of you as possible to give this a try and share your feedback!\n\nUpvote our launch here: [https://www.producthunt.com/products/intryc?launch=intryc](https://www.producthunt.com/products/intryc?launch=intryc%5C)\\\nThank you all for your support!",
        "url": "https://www.ycombinator.com/launches/OYL-intryc-ai-simulations-and-qa-for-cx-teams",
        "votes": 10,
        "created_at": "2025-10-07T20:23:56.000Z"
      },
      {
        "id": 82343,
        "title": "Intryc - Use AI to automate Quality Assurance for Customer Support",
        "tagline": "Sample tickets, evaluate human and AI agents, and unlock customer insights across all your customer interactions",
        "body": "Hi everyone, we’re Alex, George, and Dimi!\n\nWe are ex-Meta, Amazon, Revolut, and Confluent engineering and GTM folk who have spent more than 7 years improving the customer experience in companies like Meta, Amazon, Revolut, Confluent, and Navan. We decided to build Intryc with the mission to centralize and automate the repetitive, error-prone, and manual tasks in the Support QA process to free up the time of CX teams so they can focus on what really matters to them - their customers and business goals.\n\n![uploaded image](/media/?type=post&id=82343&key=user_uploads/89898/63e0ef63-8615-4520-b36e-bcabccfdad58)\n\n**tl;dr**\n\n[Intryc](https://intryc.com/) uses AI to automate Quality Assurance for customer support. Customers like [Deel.com](http://deel.com) centralize and automate parts of their Quality Assurance on Intryc to ensure agent compliance, double QA productivity, reduce costs by 50%, and prevent negative customer interactions while collecting actionable product and customer insights.\n\n**The Problem**\n\nQuality assurance for customer support is vital in regulated sectors like banking and utilities. Millions of customer inquiries must be handled and evaluated consistently and accurately to avoid regulatory non-compliance and brand reputation damage. This process is typically run manually by internal teams that still rely on outdated systems or spreadsheets to review and evaluate customer interactions. Even the most efficient QA teams can evaluate less than 5% of total tickets, leaving millions of interactions unreviewed and risking regulatory compliance, reputation damage, and increased customer churn.\n\n![uploaded image](/media/?type=post&id=82343&key=user_uploads/1341483/44a793a2-2c70-4389-ab09-8970eaaf7e7a)\n\n**The Solution**\n\nIntryc’s AI-powered solution automates the manual, repetitive, and error-prone tasks of the QA process, integrates with knowledge bases and data sources, such as help desks and CRM systems, to streamline the entire process end-to-end and allows organisations to scale their Support QA, without the scaling costs!\n\n<https://www.youtube.com/watch?v=eqIx1bnzEGk>\n\n**What Intryc offers:**\n\n* **Automated Intelligent Sampling**\n  * Automate your sampling and workload distribution to ensure an optimal ratio of QA specialists to sampled tickets, minimising idle QA time.\n  * Create targeted customer ticket samples with AI based on sentiment, keywords, or other custom rules.\n* **Dynamic Workload Distribution**\n  * Create hybrid or fully automated AI evaluation workloads to double your team’s productivity.\n* **Custom Scorecards and Unlimited Coverage**\n  * Optimize your scorecards with customized criteria based on internal playbooks, knowledge bases, or evaluation repositories.\n  * Score up to 100% of your tickets with AI without a single human involved, or try AI vs human A/B testing, and override AI evaluations when required.\n  * Get AI-generated ticket and agent evaluation summaries.\n* **Tailored Agent Coaching**\n  * Get AI-generated summaries of underperforming agents based on scorecard ratings and provide tailored coaching to each agent.\n* **Extensive reporting**\n  * AI generated insights based on key topics, product areas, or customer service from your entire ticket base.\n  * Real-time ticket evaluations and agent performance summaries for management.\n\n**👋 Ask: How you can help**\n\n* Support us on [here](https://www.linkedin.com/company/intryc/) on socials!\n* Connect us to COOs or Customer Support/Experience/Operational leaders in your network at [alex@intryc.com](mailto:alex@intryc.com).\n* Give us product feedback as a company leader who cares about their customers’ experience and supports the team’s performance. Book a 15-minute demo [here](https://www.calendly.com/alexmarantel).\n\n**💥 The Deal**\n\nInbound from the YC network will get a 50% discount. Email [alex@intryc.com](mailto:alex@intryc.com) to redeem the deal!",
        "url": "https://www.ycombinator.com/launches/LQ7-intryc-use-ai-to-automate-quality-assurance-for-customer-support",
        "votes": 45,
        "created_at": "2024-07-22T22:12:54.059Z"
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    "id": 29773,
    "name": "Soff",
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    "website": "https://soff.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Distributors & Manufacturers use Soff to grow revenue through Soff's sales agents that process quotes, orders and handles all communication with customers, co-workers & suppliers.",
    "one_liner": "AI Agents for Distributors",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B -> Supply Chain and Logistics",
    "launched_at": 1721748598,
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    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Active",
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    "regions": [
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      "America / Canada"
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    "stage": "Growth",
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    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/soff.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/soff-ai",
    "x_url": "https://www.x.com/soff_hq",
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6da2b305915dd2f4090a9cd55210079b59c3095d.png",
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    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
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    "founders": [
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        "user_id": 1972623,
        "full_name": "Berni Hausleitner",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder and CEO at Soff. Building AI agents for supply chain teams at enterprise-scale industrials. Previously a Full-Stack Engineer on Tesla’s Autopilot team, developing AI tooling. Published AI Research at Stanford, holding M.Sc. in Robotics and Electrical Engineering from TUM. Licensed German car mechanic.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/hausleitnerb/",
        "x_url": "https://x.com/itsnotbernhard",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fba17f57be97623da2f7009f7827c7b18cece629.jpg"
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      {
        "id": 109816,
        "title": "Business Development Representative (Founding GTM)",
        "url": "https://www.ycombinator.com/companies/soff/jobs/lBGDYxA-business-development-representative-founding-gtm",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$100K - $180K",
        "equity_range": "0.10% - 1.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 114414,
        "title": "Founding GTM ",
        "url": "https://www.ycombinator.com/companies/soff/jobs/dqNez2P-founding-gtm",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$80K - $180K",
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        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 114415,
        "title": "Sales Development Representative (Founding SDR)",
        "url": "https://www.ycombinator.com/companies/soff/jobs/ooqsshp-sales-development-representative-founding-sdr",
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        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
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      },
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        "title": "Founding Ops",
        "url": "https://www.ycombinator.com/companies/soff/jobs/j50ICZH-founding-ops",
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        "type": "Full-time",
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    "news": [
      {
        "title": "Supply Chain Operating System Startup for Manufacturers Joins CMTA | California Manufacturers & Technology Association",
        "url": "https://cmta.net/news/soff-joins-cmta/",
        "date": "Sep 24, 2024"
      }
    ],
    "launches": [
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        "id": 90126,
        "title": "Soff: The AI-powered Supply Chain Hub",
        "tagline": "Automating procurement to save manufacturers time and money.",
        "body": "# It Is 2025\n\nTariffs are spiking. Contracts are collapsing. And manufacturers? They're fighting to keep the lights on while costs explode.\n\n📉 Fortune 500s have already lost **over $5 billion** to supply chain failures this year.\\\n📈 Tariffs are **hitting 145%**. Imports could plummet 20%.\n\n_So who’s left holding the bag?_\n\n**Procurement**. They need to keep raw materials flowing—fast!\n\nBut instead of focusing on supplier relationships or unlocking opportunities, procurement teams are stuck chasing emails, digging through spreadsheets, and losing time—and money—by the hour.\n\n# Enter Soff\n\n![uploaded image](/media/?type=post&id=90126&key=user_uploads/1972623/f4436cc5-bc8e-4b95-8d0a-1ccdfa93e46f)\n\nSoff connects directly to your purchasing inbox, streamlining how manufacturers request, track, and approve supplier quotes—all in one place.\n\n1. No more chaos. Just **faster, smarter** procurement.\n2. **60% faster** procurement cycles.\n3. Teams freed up to do what matters: manage supplier relationships and **keep production running**.\n\n![uploaded image](/media/?type=post&id=90126&key=user_uploads/1972623/25354546-6587-414f-a341-6414a4567cc1)\n\n# The bottom line\n\nYou can’t control global tariffs. But you **can** control how fast you respond. The manufacturers who win in 2025 will be the ones who move **quicker than the chaos**.\n\n👉 Visit [soff.ai](http://soff.ai) to see how.\\\n🎯 Know a manufacturer? We’re offering **free consultations** to navigate today’s tariff mess.\\\n⬇️ Hear what customers say about Soff.\n\n<https://youtu.be/I50ypYIvCbA>",
        "url": "https://www.ycombinator.com/launches/NRe-soff-the-ai-powered-supply-chain-hub",
        "votes": 13,
        "created_at": "2025-05-06T13:34:15.864Z"
      },
      {
        "id": 83460,
        "title": "🚛 Soff: Supply Chain Operating System for Manufacturing Companies",
        "tagline": "Unify supply chain data and automate core workflows.",
        "body": "**⛓️ TL;DR**\n\n[Soff](https://soff.ai) is a supply chain operating system for manufacturing companies. We automate data entry, requesting quotes, comparing quotes, and issuing purchase orders. Our customers save dozens of hours a week spent on repetitive manual tasks.\n\n👬 **Team**\n\nWe met five years ago while studying at the CDTM in Munich. Most recently, [Berni](https://www.linkedin.com/in/hausleitnerb/) worked as a full-stack engineer at Tesla on the Autopilot team, whilst [Raban](https://linkedin.com/in/raban) finished his engineering master’s at Stanford. At Tesla, Berni built tons of internal tooling and saw the supply chain inefficiencies firsthand. During the batch, Raban worked as a purchasing manager for one of our customers.\n\n🌋 **Problem**\n\nSupply chain data is spread across multiple platforms, such as ERPs, custom spreadsheets, and email inboxes, leading to inefficiencies and a lack of visibility. Supply Chain Managers spend hours each week searching through emails and spreadsheets to track the status of parts procurement, from request to quote to award. This process is not only time-consuming but also prone to errors and delays. For example, changes in production schedules require Supply Chain Managers to follow up with all suppliers individually to adjust their purchase orders. Quotes that aren’t used are lost in the abyss of email inboxes. Suppliers are reluctant to upload quotes to yet another portal and often fail to notify about delays, leading to costly production standstills.\n\n🚛 **Solution**\n\n![uploaded image](/media/?type=post&id=83460&key=user_uploads/1755188/cacbe907-12f5-429f-9391-9ba957afa746)\n\nSoff connects suppliers, parts, and quotes into a single platform.\n\nWe integrate with ERPs and email to automate supplier communication, send RFQs, and issue purchase orders. We turn unstructured email and PDFs into SQL-ready data, injecting quotes directly into the ERP system. We eliminate the need for manual data entry and dedicated supplier portals, thus increasing supplier response rates.\n\nOur platform stores quote data, ensuring no loss of information when switching suppliers or moving from single-source to dual-source. It also tracks parts from the initial request through to the final receipt, providing a complete overview for supplier management.\n\nSoff enables manufacturers to deliver higher-quality products faster. Companies like SpaceX (Warpdrive), Rivian (Basecamp), and Apple (Incline) spend millions on building their in-house supply chain tools—we bring that level of efficiency to any manufacturer.\n\n**❤️ How you can help**\n\nIf you work in Supply Chain or work(ed) at a manufacturing company we’d love to connect. Send us a message at [founders@soff.ai](mailto:founders@soff.ai). 📨\n\n![uploaded image](/media/?type=post&id=83460&key=user_uploads/1755188/a277625d-201c-471a-a6d4-5a9fa4c0a104)\n\n",
        "url": "https://www.ycombinator.com/launches/Li8-soff-supply-chain-operating-system-for-manufacturing-companies",
        "votes": 84,
        "created_at": "2024-08-27T14:42:52.309Z"
      }
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    "id": 29774,
    "name": "Mineflow",
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    "website": "http://mineflow.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Mineflow is an AI platform for mineral exploration. We generate predictions for mineral deposit shapes and locations, empowering mining companies from initial exploration to advanced feasibility studies.\r\n\r\nGeologists need to know precisely where their deposits are because drilling is expensive. In early trials with a lithium mining company, we found that Mineflow predicts the shape of hard rock lithium deposits more than an order of magnitude more accurately than our competitors.\r\n\r\nRyan received a BS in Artificial Intelligence from Carnegie Mellon's School of Computer Science where he helped teach both the grad-level Deep Learning course and the grad-level Search Engines course. He built ML models at Google in the Display Ads optimization org for 2 years and launched products that generated ~125m USD in ARR.",
    "one_liner": "Mineflow predicts the shape and location of mineral deposits",
    "team_size": 2,
    "industry": "Industrials",
    "subindustry": "Industrials",
    "launched_at": 1723534292,
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    "isHiring": true,
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    "batch": "Summer 2024",
    "status": "Active",
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    "regions": [
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        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "The discovery rate of economically viable mineral deposits near the earth's surface is declining each year. As the \"low-hanging fruit\" is claimed and mined, we’ll increasingly need to drill deeper to retrieve critical minerals like gold, copper, and lithium. While mining companies today can afford to drill hundreds of holes to precisely model a deposit at a depth of 200 meters, the cost of drilling will rise sharply as we go deeper. This means fewer holes can be drilled, necessitating more powerful deep learning models to accurately predict the shape and location of these deeper mineral deposits. Mineflow will lead the way in developing a family of foundation models for predicting the earth's subsurface composition and structure. Ultimately, I hope every mining company will use Mineflow's models to guide their exploration with precision."
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    ],
    "url": "https://www.ycombinator.com/companies/mineflow",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/mineflow.json",
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    "city": "San Francisco",
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    "linkedin_url": "https://www.linkedin.com/company/mineflowai",
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        "user_id": 1928886,
        "full_name": "Ryan Goggins",
        "title": "Founder/CEO",
        "founder_bio": "studied AI at CMU in SCS, built ML models for Google Ads, now trying to predict the shape of mineral deposits underground",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/rgoggins",
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    "jobs": [
      {
        "id": 69084,
        "title": "Founding Machine Learning Engineer",
        "url": "https://www.ycombinator.com/companies/mineflow/jobs/sJbXTyi-founding-machine-learning-engineer",
        "location": "San Mateo, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$80K - $150K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
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    "news": [],
    "launches": [
      {
        "id": 83015,
        "title": "⛏️ Mineflow - AI mineral exploration",
        "tagline": "Mineflow takes your mining exploration data and trains a custom AI model to accurately predict the shape and location of mineral deposits, reducing drilling costs significantly",
        "body": "---\n\nHey YC! I'm Ryan from [Mineflow](http://mineflow.ai/).\n\nQuick backstory: I've always been fascinated by how mining companies discover deposits. That passion led me to leave Google after two years of working on deep learning for ads to start Mineflow. I’m convinced that mineral exploration is as much a statistics problem as it is a geology problem, and early feedback from lithium mining companies suggests I might be on the right track!\n\n### The problem\n\nAccurately predicting deposit shapes is critical for geologists because each drill hole can cost tens of thousands of dollars. However, **traditional computational models fall short** because they:\n\n1. Can't incorporate highly multimodal data\n2. Don’t learn from data across multiple exploration sites\n3. Rely on naive algorithms for their inferences\n\nAs a result, mining companies often **drill thousands of holes** before an exploration site becomes operational, driving up costs.\n\n### The solution\n\nMineflow lets geologists **upload any dataset from their exploration sites**. Then, Mineflow **builds a custom AI model to predict the shape and location of mineral deposits**. By training a deep learning model on the whole dataset, Mineflow is able to make predictions with **an order of magnitude of accuracy more than our competitors**. As a result, Mineflow can significantly reduce the number of drill holes needed, saving mining companies millions in exploration costs.\n\nWe can produce predictions in 2 dimensions (think overhead, bird' s-eye view) and 3 dimensions (think 3D grid of cubes).\n\n3D gold deposit we are modeling:\n\n![uploaded image](/media/?type=post&id=83015&key=user_uploads/1928886/685a3a98-f1f5-4959-b7ed-a6f4b6876b01)\n\n2D prospectivity map we produced for an exploration project:\n\n![uploaded image](/media/?type=post&id=83015&key=user_uploads/1928886/d99c6c6b-8737-4ab0-a761-4058c33653ed)\n\n### Team\n\n[Ryan](https://www.linkedin.com/in/rgoggins) earned a BS in Artificial Intelligence from Carnegie Mellon SCS and built ML models for the Google Display Ads optimization team for two years. While at Google, he launched products and deep learning models that generated \\~$125m USD of ARR.\n\n![uploaded image](/media/?type=post&id=83015&key=user_uploads/1928886/697e9e0b-3f28-4ef6-b9c0-0a2b4e789e37)\n\n### Ask\n\nIf you know anyone in mineral exploration or oil and gas exploration, I'd love to [connect](https://www.linkedin.com/in/rgoggins/) with them to see how Mineflow can help. Grab space on my calendar [here](https://calendly.com/ryan-mineflow/30min).",
        "url": "https://www.ycombinator.com/launches/Lax-mineflow-ai-mineral-exploration",
        "votes": 36,
        "created_at": "2024-08-13T23:23:41.164Z"
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    "name": "Brighterway",
    "slug": "brighterway",
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    "website": "https://www.brighterway.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Brighterway builds systems that handle the paperwork behind workers’ comp and casualty claims, automating the work around each claim from intake to administration to state reporting. Trusted by companies ranging from mid-market to Fortune 500.",
    "one_liner": "AI-native claims software and administration for casualty claims",
    "team_size": 14,
    "industry": "Fintech",
    "subindustry": "Fintech -> Insurance",
    "launched_at": 1721172901,
    "tags": [
      "Health Tech",
      "Insurance",
      "AI"
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    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Active",
    "industries": [
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      "Insurance"
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/brighterway",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/brighterway.json",
    "year_founded": null,
    "city": "San Francisco",
    "country": "US",
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4c3ccc32c3cef12a79c45aceb7aa532c954f0602.png",
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    "founders": [
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        "user_id": 1157448,
        "full_name": "Walker Wells",
        "title": "Founder/COO",
        "founder_bio": "Before Brighterway, Walker studied Statistics and Data Science at Yale University. He has also previously led a team of interns on a data science project focused on tracking user engagement and feature impressions at another startup. Fun fact? He solo-backpacked for 5 months at the ripe age of 18.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/walker-wells-8a85b1198/",
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        "user_id": 1159843,
        "full_name": "Jason Apostol",
        "title": "Founder/CTO",
        "founder_bio": "Working on better claims handling. Previously studied Computer Science at Yale.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/jason-apostol-063039a5",
        "x_url": "",
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    "jobs": [
      {
        "id": 85674,
        "title": "Software Engineer",
        "url": "https://www.ycombinator.com/companies/brighterway/jobs/ERXvXtu-software-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $170K",
        "equity_range": "0.50% - 0.75%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
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          "Python",
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        "title": "Senior Software Engineer",
        "url": "https://www.ycombinator.com/companies/brighterway/jobs/vJvWxbO-senior-software-engineer",
        "location": "San Francisco, CA, US",
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        "title": "Sales Associate",
        "url": "https://www.ycombinator.com/companies/brighterway/jobs/UfDkqaY-sales-associate",
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        "role": "Sales",
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    "id": 29777,
    "name": "Zettascale Computing",
    "slug": "zettascale-computing",
    "former_names": [
      "Exa Labs",
      "Exa Laboratories",
      "Zettascale"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/dc824cdcd1866f181c1cae19f0dfc1371a717e51.png",
    "website": "https://zscc.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "AI silicon for the era of recursive self-improvement and superintelligence",
    "one_liner": "Chips for frontier AI",
    "team_size": 2,
    "industry": "Industrials",
    "subindustry": "Industrials",
    "launched_at": 1722631140,
    "tags": [
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      "Semiconductors",
      "Infrastructure",
      "AI"
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      "America / Canada"
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    "url": "https://www.ycombinator.com/companies/zettascale-computing",
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    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/zettascale-computing-corp",
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        "full_name": "Elias Almqvist",
        "title": "Founder/CEO",
        "founder_bio": "Founder/CEO of Zettascale Computing, autodidact dropout",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/almqv",
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      {
        "id": 109821,
        "title": "Founding Silicon Engineer",
        "url": "https://www.ycombinator.com/companies/zettascale-computing/jobs/E3xe53H-founding-silicon-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Hardware",
        "salary_range": "$200K - $300K",
        "equity_range": "1.00% - 2.00%",
        "experience": "1+ years",
        "visa": "Will sponsor",
        "skills": [
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          "FPGAs"
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    "news": [
      {
        "title": "9 startups that stood out on YC Demo Day 2 | TechCrunch",
        "url": "https://techcrunch.com/2024/09/26/9-startups-that-stood-out-on-yc-demo-day-2/",
        "date": "Sep 26, 2024"
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    "launches": [
      {
        "id": 120562,
        "title": "XPU Grasshopper: An AI chip designed for the era of recursive self-improvement",
        "tagline": "AI chip co-designed with AI for the era of recursive self-improvement",
        "body": "![uploaded image](/media/?type=post&id=120562&key=user_uploads/779644/45160b6c-c87e-4ed1-ad59-7ded469a382d)\n\nToday we’re announcing XPU Grasshopper, our AI architecture co-designed with AI!\n\nIt went from its first tokens to 816x faster in 13 weeks on FPGA.\n\nWith a very small team and autonomous AI agents, we were able to design the hardware and software together. The agents rewrote kernels, reworked the hardware overlay, and ran and tested their own FPGA builds.\n\nRunning gemma-3-1b-it (yes, it runs other models too, but that’s for the next launch :)) at more than 51 tok/s and over 90% utilization at batch 1, on four tiles on an FPGA, measured end to end, to prove out our micro-architecture and software stack before silicon.\n\nWe wrote up the full story, including the day-by-day optimizations the agents found, the Mutation Tile Unit architecture, and the benchmarks: <https://zscc.ai/announcing-xpu-grasshopper>\n\n100 numbered FPGA devkits are open for pre-order, with early cluster API and SSH access: <https://zscc.ai/grasshopper>\n\nRead more: <https://zscc.ai/announcing-xpu-grasshopper> ",
        "url": "https://www.ycombinator.com/launches/VMY-xpu-grasshopper-an-ai-chip-designed-for-the-era-of-recursive-self-improvement",
        "votes": 7,
        "created_at": "2026-10-07T16:33:31.723Z"
      },
      {
        "id": 83472,
        "title": "Exa Laboratories - 27.6x more efficient chips for AI 🔥🚀",
        "tagline": "Reconfigurable chips for AI that are 27.6x more energy efficient.",
        "body": "### TL;DR:\n\nWe're building reconfigurable chips for AI that are up to 27.6x more efficient and powerful than the H100 GPUs. This could save data centers hundreds of millions to billions in annual energy costs.\n\n### Meet the Team\n\nHello! We're [Elias](https://www.linkedin.com/in/almqv/) and [Prithvi](https://www.linkedin.com/in/prithvi-raj-eng/) from [Exa](https://exalaboratories.com/). We're developing **reconfigurable chips for AI** that are up to around **27\\.6x\\* more efficient and performant** than the modern H100 GPUs.\n\n\\*: [_Read our litepaper!_](https://exalaboratories.com/litepaper)\n\n![uploaded image](/media/?type=post&id=83472&key=user_uploads/779644/fe720272-a21f-4761-a766-9b90dc6401a9)\n\n[**CEO, Elias Almqvist**](https://www.linkedin.com/in/almqv/) (right): Self-taught engineer who also studied computer science and computer engineering (dropped out and founded Exa, btw) at Chalmers University of Technology. Previously worked in the embedded software space but also worked on various aerospace projects at university.\n\n[**CTO, Prithvi Raj**](https://www.linkedin.com/in/prithvi-raj-eng/) (left): Holds an MEng from the world-leading Computational Stats & ML Lab at Cambridge. During his time there, he fell in love with scientific machine learning, a field that demands bespoke neural network architectures and extreme hardware efficiency, and also interned at Microsoft as a software engineer.\n\n### The problems!\n\nThe AI industry faces critical challenges threatening its sustainable growth:\n\n1. **Unsustainable Energy Consumption**: Modern GPUs consume 600-1000 W per unit, creating massive scaling issues for data centers. Large data centers face energy costs in the hundreds of millions to potentially billions each year. **GPU power draw seems to be increasing with each new release**, while **compute per area has remained the same** for the past 5 years.\n2. **Exponential Compute Demand**: With AI advancements, computational power demand is rapidly increasing. Unchecked, this trend could lead to an energy crisis, impeding AI progress and costing data centers billions of dollars.\n3. **Hardware Limitations**: **Current fixed architectures constrain AI innovation**. They lack the versatility to efficiently support diverse AI architectures and custom neural network designs crucial for solving real-world problems.\n\n### The solution.\n\nExa's polymorphic computing technology addresses these challenges:\n\n* **Reconfigures for each AI model architecture**, maximizing efficiency and versatility\n* Supports diverse approaches, from **transformers** and **GPTs** to novel AI architectures (e.g., the new [**Kolmogorv-Arnold Networks (KAN)**](https://arxiv.org/abs/2404.19756))\n* Early simulations indicate potential efficiency gains of up to **27\\.6x** over the H100 GPUs\n\n**This technology could save data centers hundreds of millions to billions in annual energy costs**, significantly reducing operational expenses and environmental impact.\n\n![uploaded image](/media/?type=post&id=83472&key=user_uploads/779644/12f4a895-8885-4089-a331-920fb65b683c)\n\nFor a somewhat deeper technical dive, refer to our [litepaper](https://exalaboratories.com/litepaper)!\n\n### Asks :)\n\n* Read our [litepaper](https://exalaboratories.com/litepaper)! All feedback welcome!\n* Introduce us to anyone in the scientific machine learning space and/or someone conducting research in AI, **particularly those who have very “_cursed model architectures.”_**\n* Get us in contact with any data center, AI research organization, or GPU cloud provider (i.e., AWS, OpenAI, Anthropic, DeepMind, Lambda).\n* Give us intros to semiconductor industry professionals, particularly those interested in **bringing back chip manufacturing to the US**!\n\nFeel free to reach us at [founders@exalaboratories.com](mailto:founders@exalaboratories.com), **we would love to hear your feedback and answer your questions!**",
        "url": "https://www.ycombinator.com/launches/LiK-exa-laboratories-27-6x-more-efficient-chips-for-ai",
        "votes": 35,
        "created_at": "2024-08-27T19:36:23.464Z"
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        "full_name": "Geoffrey Negiar",
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        "full_name": "Joachim Fainberg",
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        "id": 82635,
        "title": "The Forecasting Company: Foundation models for time series",
        "tagline": "Easy and accurate forecasts for navigating an uncertain world",
        "body": "**tl;dr:** The same core technology that led to the LLM explosion can be adapted to build accurate and easy to use time series models. We’re building the enterprise-grade, plug and play forecasting systems of tomorrow. [Talk to us](https://mailto:founders@theforecastingcompany.com) if you have forecasting and planning use-cases!\n\n\\\nHi everyone, we’re Geoff and Joachim. We’ve built ML and forecasting systems at Amazon, Google, Bloomberg LP, JP Morgan, and Sonos. We’re The Forecasting Company!\n\n### Problem 📉\n\n* Existing time-series forecasting solutions produce **unreliable predictions** with sometimes catastrophic results - they have a hard time handling activity spikes like Black Friday.\n* Developing and maintaining useful forecasting and planning models requires **large and costly teams** of data scientists and domain experts.\n* Data science teams are backlogged, leaving operators **waiting for months** before a use-case to be put into production.\n\n### Solution 📈\n\n* **An easy to use, flexible and accurate forecasting system. No training required!**\n* A **massive training dataset of time-stamped data** from many industries and domains (energy, transportation, etc.).\n* A forecasting model that can leverage **user-provided input variables** or our own **curated data streams**.\n\n### What we’re forecasting these days\n\n# Bacteria levels in the Seine 🦠 🏊‍♂️\n\n![uploaded image](/media/?type=post&id=82635&key=user_uploads/1325636/a0b74e9b-3289-4b05-aa4d-78ea52ef10d0)\n\nOur forecasts show that swimmers lucked out today 🍀!\\\n(Data provided courtesy of the [Fluidion Open Data Initiative)](https://fluidion.com/open-data-initiative/2024-seine-water-quality)\n\n### Ask\n\n* If you have forecasting problems in-house, or know of someone who does, **please reach out - we’d love to help!**\n* **Try our sandbox model** on [www.theforecastingcompany.com](http://www.theforecastingcompany.com) and let us know what you think\\\n  [founders@theforecastingcompany.com](mailto:founders@theforecastingcompany.com)",
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    "city": "Paris",
    "country": "FR",
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        "full_name": "Nabil Toumi",
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        "founder_bio": "Was the automation lead at Uber, where I created a team that saved €20M in a year, earning me a top 1% employee award.\nAlumnus of Centrale Paris and ESSEC",
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        "full_name": "Saad Bencherif",
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        "founder_bio": "Cofounder & CPO of Presti AI: stunning product visuals, for furniture companies, with gen AI 🛋️. Prior life: ex-Senior Data Scientist @ BCG X.",
        "is_active": true,
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        "full_name": "Abdellah Lamrani Alaoui",
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      {
        "id": 83443,
        "title": "Presti - Product photos for the furniture industry with GenAI",
        "tagline": "We offer a faster and cheaper solution to create product photos for furniture companies.",
        "body": "### **TL;DR**\n\n[**Presti**](https://www.presti.ai/) offers a faster and cheaper solution to create Product photos for furniture companies. **We currently serve 100 paying B2B users with a 10% growth week over week.** Try it for free [**here.**](https://app.presti.ai/)\n\n**—**\n\n### **Team**\n\nHi everyone, we are [Abdellah](https://linkedin.com/in/abdellah-lamrani-alaoui-6288a4a6), [Hamza](https://linkedin.com/in/hamza-bennis-143635a6), [Nabil](https://linkedin.com/in/nabil-toumi-b58b0084), and [Saad](https://linkedin.com/in/bencherifs) (from left to right in the picture). We’ve been close friends since our time at Ecole Centrale Paris 10 years ago and have developed strong AI expertise at top tech companies like Uber and BCG Gamma.\n\n![uploaded image](/media/?type=post&id=83443&key=user_uploads/1130049/acecfeb9-0687-4da3-9d37-43facfab4f45)\n\n### **Problem**\n\nFurniture companies spend millions and months each year on photoshoots or CGI to create product images.\n\nThey also can’t use any genAI tools because:\n\n1\\. General models fail to produce quality results for furniture products\n\n2\\. The industry requires specific, unique features that standard tools don't offer.\n\n### **Solution**\n\n_How does it work?_ \\\nWith Presti, users can upload a simple product image and stage it in any environment within seconds. Our platform also enables users to manage all aspects of product visuals. For example, users can change the color and texture of their products or also have the ability to generate consistent visuals for an entire collection.\n\n_How did we address the problem?_ \\\nWe've developed a specialized diffusion model optimized for furniture, delivering studio-quality results. Additionally, we’ve launched over 10 AI-driven features specific to the industry\n\n_The tool_\\\nTry out Presti for free [**here.**](https://app.presti.ai/)\n\n![uploaded image](/media/?type=post&id=83443&key=user_uploads/1130049/5776b364-c337-459f-99cb-d0d32be93318)\n\n### **Ask**\n\nIf you're **a furniture company** or **connected with a furniture brand**, feel free to contact us at [founders@presti.ai](mailto:founders@presti.ai)",
        "url": "https://www.ycombinator.com/launches/Lhr-presti-product-photos-for-the-furniture-industry-with-genai",
        "votes": 22,
        "created_at": "2024-08-26T23:24:03.980Z"
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      {
        "id": 72837,
        "title": "Founding Middleware Lead",
        "url": "https://www.ycombinator.com/companies/cerulion/jobs/C21ngNY-founding-middleware-lead",
        "location": "Mountain View, CA, US / Boston, MA, US",
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    "news": [
      {
        "title": "Predicting AI’s future from Y Combinator’s new startup cohort - PitchBook",
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      {
        "id": 83665,
        "title": "Cerulion 🤖 Fast, reliable, cross-platform robot middleware",
        "tagline": "Cerulion enables lightning-fast, rock-solid communications for safe robots with an easy, cross-platform GUI.",
        "body": "Robots are expensive and hard to develop/debug. [Cerulion](https://www.cerulion.com/) solves the robot tooling problem to cut down development times by up to 10x.\n\n# The Problem\n\nThe incredibly high capital costs required for robotics, combined with the inherently non-deterministic nature of embodied intelligence, result in an unpredictable system where even attempts, let alone failures, are cost-prohibitive.\n\n**Robots are expensive and hard.**\n\nAnd yet, despite time on hardware being such a precious resource, roboticists today are absolutely wasting 90% of it fighting against unoptimized tooling. Some common complaints are:\n\n* Needlessly complex to install, maintain, and document\n* Incredibly steep learning curve for non-transferable skills\n* Poor observability into a robot's belief\n* Artificial non-determinism induced by slow or unreliable message-passing\n* Unreliable network protocols and IPCs\n* System breakdown due to poor inter-robot communication\n* Unreliable logging and cumbersome/nondeterministic log replay\n* Wasting precious field time parsing 1000s of lines of runtime errors whooshing past the screen\n\nAnd the list goes on and on.\n\n**Robot tooling today is broken. Unacceptably so.**\n\n# Our Solution: Performance never looked this good!\n\n![uploaded image](/media/?type=post&id=83665&key=user_uploads/1938980/f6733a7c-7d31-4bf8-9198-d19e786c5650)\n\n* **Packaged as an app, rather than a CLI tool:** Instead of shipping as a bunch of CLI tools to be installed, patched, and reinstalled, Cerulion is an app you can download on Windows, Mac, or Linux. It will smartly detect and handle any dependencies as needed.\n* **Intuitive, cross-platform visualizer:** The sleek, easy-to-use GUI is the main way of communicating with your robot in the field, which means you can run it with minimal resources on your favorite long-lasting laptop with any OS, instead of **_that_** RGB laptop with a gaming GPU running Linux.\n* **Minimal boilerplate and setup:** The way you program robots in Cerulion is designed to get out of your way, so you can focus on the planner and perception algorithms instead of worrying about the inter-process comms, IP addresses, or network routes.\n* **Fast and reliable communication:** We leverage cutting-edge Rust-based networking and IPC stacks like [Zenoh](https://github.com/eclipse-zenoh/zenoh) and [IceOryx2](https://github.com/eclipse-iceoryx/iceoryx2), along with tried and tested C++ alternatives like [LCM](https://github.com/lcm-proj/lcm) and [IceOryx](https://github.com/eclipse-iceoryx/iceoryx). By ensuring communications don't fail silently and messages are delivered when expected, Cerulion eliminates nasty surprises in safety-critical scenarios.\n\n# Meet The Team\n\n![uploaded image](/media/?type=post&id=83665&key=user_uploads/1938980/62663160-4581-4de2-abb8-0bbb86179aa1)\n\nAs robotics PhD students at MIT, [Lakshay](https://www.linkedin.com/in/lakshay2010sharma/) and [Se Hwan](https://www.linkedin.com/in/sehwan-jeon/) have gathered years of experience (and frustration) working on robots, and want to see a world where you can take robot reliability for granted.\n\n# Our Ask\n\nHave experience with ROS or any other robot middleware? Did we miss something above that you really need? Send us a message at [founders@cerulion.com](mailto:founders@cerulion.com)!\n\nWe always love (and are happy to provide) warm intros to people working on robots and automation.\n\nAnd of course, if you need help with your robot system, or are curious about any of this, we're happy to chat!\n\nP.S. — Please star our [GitHub repo](https://github.com/cerulion-inc/cerulion)!",
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        "created_at": "2024-09-02T15:47:55.198Z"
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    "long_description": "The rise of low-cost commercial drones has introduced a new class of asymmetric threats to U.S. national security. Off-the-shelf platforms now deliver ISR, contraband, or payloads with precision, while operating below radar coverage and beyond line-of-sight. These systems—often costing under $1,000—are capable of neutralizing multi-million-dollar defense assets. For drone detection to be viable at scale, sensors must achieve cost parity with the threat.\r\n\r\nIn response, the Department of Defense established multiple initiatives to counter the rapid proliferation of uncrewed aerial systems. The Joint Counter-small UAS Office (JCO) coordinates policy and acquisition across services. The Base Defense Cross-Functional Team enables persistent perimeter security for CONUS and OCONUS installations. Falcon Peak, Red Sands, and related exercises are accelerating deployment of counter-UAS technologies in complex environments.\r\n\r\nThis threat is no longer exclusive to military operations overseas. It now directly targets the U.S. homeland. In 2025, an executive order designated the protection of American airspace sovereignty a national priority, recognizing that uncrewed systems present both surveillance and kinetic risks within the United States. That same year, a domestic extremist plotted to destroy a Tennessee power substation using a drone rigged with C-4 explosives—a plan disrupted by undercover federal agents. In July 2025, an unauthorized drone collided with a rescue helicopter during disaster response operations in Kerr County, Texas, forcing an emergency landing and halting flood relief efforts. These are not isolated incidents—they reflect a broader shift in drone-enabled threats against homeland infrastructure and public safety.\r\n\r\nGuardian RF builds passive, radiofrequency-based drone detection systems for force protection and critical infrastructure defense inside the United States. Our systems are fielded under an AFWERX Direct-to-Phase-II SBIR with the 30th Security Forces Squadron at Vandenberg Space Force Base, deployed by local and state law enforcement, and integrated into commercial security operations. We were selected as a finalist for Falcon Peak 25.2, the Department of Defense’s premier counter-UAS exercise.\r\n\r\nScout is a passive RF sensor for fixed, mobile, or temporary deployments. It detects and classifies drone control signals—including modified variants of DJI, Crossfire, and ExpressLRS—at standoff ranges. Scout supports direct integration into TAK and other operational APIs and is managed through GRF-SECURE, our secure interface for live monitoring, threat alerting, and forensic review.\r\n\r\nMosaic extends coverage in austere environments, enabling persistent low-altitude monitoring and classification of non–Remote ID drones across complex terrain—without active emissions or mesh dependency.\r\n\r\nBuilt in the United States, Guardian RF delivers scalable, automated, and cost-aligned drone detection—passive by design and hardened for real-world deployment across the homeland.",
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    "industry": "Industrials",
    "subindustry": "Industrials -> Drones",
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        "full_name": "Lucas Raskin",
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        "founder_bio": "Physics enthusiast. Building next generation counter UAS capabilities.",
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        "linkedin_url": "https://www.linkedin.com/in/lucas-r-422937242/",
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        "full_name": "John Andrzejewski",
        "title": "Founder/COO",
        "founder_bio": "Former Physics at Georgetown. Working on counter UAS and hitting PRs on bench press.",
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        "founder_bio": "My background is in physics and comp sci. I build Counter UAS systems.",
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        "title": "Electrical Engineer Intern (Summer)",
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    "name": "Simple AI",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Simple AI is building AI voice that sells. Our voice agents know every detail about every product SKU. They’re trained on the best reps, so every call is handled at top-performer quality. Simple AI agents already outperform trained live reps by 30% on conversion and upsell.",
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    "team_size": 11,
    "industry": "B2B",
    "subindustry": "B2B -> Sales",
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    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/simple-ai-lab/",
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    "cb_url": "https://www.crunchbase.com/organization/simple-ai-9d81",
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/bdc2c60d479b7ebde0f22e07c40db2956ad5ff6c.png",
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    "primary_partner": {
      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
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    "founders": [
      {
        "user_id": 195464,
        "full_name": "Catheryn Li",
        "title": "Founder/CEO",
        "founder_bio": "Cat is co-founder and CEO of Simple AI. Previously, she spent 4 years at Y Combinator, where she led the software team responsible for Startup School, the YC Library, and YC's Co-Founder Matching site.\n\nShe has degrees in computer science and math from MIT.",
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        "linkedin_url": "https://www.linkedin.com/in/catherynli/",
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      {
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        "full_name": "Zach Kamran",
        "title": "Founder",
        "founder_bio": "Co-founder Simple AI. Previously working on Bookface at YC.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/zach-kamran/",
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        "title": "Founding Software Engineer",
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        "role_type": "Full stack",
        "salary_range": "$100K - $250K",
        "equity_range": "0.50% - 2.50%",
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      {
        "id": 80385,
        "title": "Forward Deployed Software Engineer",
        "url": "https://www.ycombinator.com/companies/simple-ai/jobs/tuP4mK7-forward-deployed-software-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
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        "salary_range": "$100K - $180K",
        "equity_range": "0.10% - 1.48%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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    "news": [
      {
        "title": "This AI Startup Is Taking Over Phone Sales",
        "url": "https://www.youtube.com/watch?v=6iilze3aDkU",
        "date": "Feb 18, 2026"
      },
      {
        "title": "Simple AI Raises $14M For Voice AI Sales Agent ",
        "url": "https://www.upstartsmedia.com/p/simple-ai-voice-sales-agent-omaha-steaks",
        "date": "Feb 09, 2026"
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    ],
    "launches": [
      {
        "id": 86078,
        "title": "Simple AI - AI phone assistant for consumers",
        "tagline": "Simple makes phone calls so you don't have to",
        "body": "**We’re thrilled to announce that starting today, Simple AI Phone Assistant is available on the** [**App Store**](https://www.usesimple.ai/join?inviteCode=launchyc).\\\n\\\nSimple AI can make AI powered phone calls on your behalf. Simple can wait on hold and navigate phone trees. Simple can make phone calls in 33 countries using 15 different languages, or even call 10 different stores at the same time.\n\n![uploaded image](/media/?type=post&id=86078&key=user_uploads/195464/3b0d8227-3cb8-443c-a8a4-fc0796c390c9)\n\nWe tested a beta version of the app extensively with our initial set of 1000 users. We wanted to make sure Simple could successfully perform a variety of tasks, including: making restaurant reservations; finding and booking doctors, dentist, and vision appointments; asking grocery stores, hardware stores, and other retail stores for availability or stock; calling customer support to ask for help with accounts, billing, and more.\\\n\\\nWe started Simple AI with the simple vision to bring the power of AI to regular people. We went through YC’s Summer 24 batch. During YC, we saw many startups working on ideas that leverage the new AI and LLM technology to upend various industries. But no one was working on AI for consumers.\n\nIt turns out people really hate making phone calls, and our AI is pretty good at it.\n\nIn fact, it’s _better_ than a human at certain tasks. Zach and Cat both needed a new eye doctor and independently set out to find one that would 1) take our new insurance, and 2) had availability soon. Zach did some research on the internet and got an appointment 3 weeks out. Cat had Simple call 15 optometrists near Potrero Hill and got hers in 6 days.\n\nWe give people access to an AI assistant at their fingertips. Read more about our launch on [our blog](https://usesimple.ai/blog/launch) or try it out today at [https://usesimple.ai/join](https://usesimple.ai/join?inviteCode=launchyc).\n\n### **Team**\n\n[Zach](https://www.linkedin.com/in/zach-kamran/) and [Catheryn](https://www.linkedin.com/in/catherynli/) met at YC, where they spent 4 years building consumer products like Bookface, Startup School, and YC’s co-founder matching site.\n\n![uploaded image](/media/?type=post&id=86078&key=user_uploads/195464/a59696cc-5d70-4c37-bdec-dafdba687f55)\n\n",
        "url": "https://www.ycombinator.com/launches/MOM-simple-ai-ai-phone-assistant-for-consumers",
        "votes": 17,
        "created_at": "2024-12-05T18:07:13.588Z"
      },
      {
        "id": 83003,
        "title": "Simple AI - a better Siri",
        "tagline": "Simple AI is what Siri should be. We make it 10x easier for you to use your favorite consumer apps.",
        "body": "[Simple AI](https://www.usesimple.ai/) is what Siri should be. We make it 10x easier for you to use your favorite consumer apps: Amazon, Uber, Doordash, Venmo, Maps, etc. We can also help you do research and book anything from restaurants and flights to that local minigolf place that doesn’t have a website.\n\nThe consumer products we use every day are often confusing, adversarial, and sometimes downright deceptive. It makes sense when you realize that Amazon and Google’s primary customers are merchants and advertisers, not you and me.\n\nOur goal is to help you cut through the noise and go from “having an intent” to “getting it done.”\n\n### **Our ask**\n\nIf you have an iPhone, try out our mobile app! Please reach out to [founders@usesimple.ai](mailto:founders@usesimple.ai) or join the [waitlist](https://www.usesimple.ai/) and we’ll onboard you soon.\n\n### **Team**\n\n[Zach](https://www.linkedin.com/in/zach-kamran/) and [Catheryn](https://www.linkedin.com/in/catherynli/) met at YC, where they spent 4 years building consumer products like Bookface, Startup School, and YC’s co-founder matching site.\n\n![](https://bookface.ycombinator.com/media/?type=post&id=83003&key=user_uploads/195464/c3d98f3d-7cd8-408e-80aa-406f299121a0)\n\n",
        "url": "https://www.ycombinator.com/launches/Lal-simple-ai-a-better-siri",
        "votes": 92,
        "created_at": "2024-08-13T19:45:00.331Z"
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    "id": 29788,
    "name": "Refactor",
    "slug": "refactor",
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    "website": "https://refactor.co",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Refactor works closely with large organizations across healthcare, retail, and logistics to safely tackle their most ambitious AI use-cases in record time. We focus on building autonomous systems that call, click, and navigate legacy software systems. We have worked with companies serving tens of millions of customers and with $50B+ annual revenue. ",
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    "team_size": 3,
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        "full_name": "Arnav Joshi",
        "title": "Founder/CEO",
        "founder_bio": "CEO at Refactor. I was recently a BS/MS student in CS at Stanford. Previously, I worked on autonomous driving research at NVIDIA. I also interned at Amazon, where I built a computer vision tool.  ",
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      {
        "id": 86672,
        "title": "Winford Wealth: Your Intelligent AI Meeting Assistant, Built for Financial Advisors",
        "tagline": "Winford saves you 7 weeks per year by automating your notetaking, integrating with your tech, and creating meeting analytics to improve the client experience.",
        "body": "# The Team\n\n**Jacob Tucker** (CEO) was one of the first investment analysts hired to work on the BCRED product at Blackstone, which revolutionized access to alternative investments for individual and private wealth investors. He received an M.S. in Computer Science and B.A. in Economics from The University of Chicago.\n\n**Rohan Prashant** (CTO) is a former Microsoft software engineer instrumental in developing AI features. He received a B.S.E. in Computer Science from the University of Michigan.\n\nTogether, they have brought their expertise to create an AI Meeting Assistant in collaboration with dozens of Registered Investment Advisors (RIAs).\n\n![uploaded image](/media/?type=post&id=86672&key=user_uploads/1406140/b2fa2168-9be1-4625-a532-9fd86580061b)\n\n# One of the Most Annoying Things About Being A Financial Advisor\n\nFinancial Advisors manage dozens of clients with differing financial profiles, plans, and needs. Most RIAs we have collaborated with meet with clients on a quarterly basis, at a minimum.\n\nTaking detailed and compliant notes during meetings occupies 40% of an advisor’s focus on average, or requires an extra person in the meeting just to take notes.\n\nIn addition to the stacks of notes to organize, each client meeting also requires copious prep time to refresh on past interactions, as well as manual data entry into a CRM following the meeting.\n\nCombined, these tasks often take seven work weeks or more per year of an advisor’s time.\n\n# Save Time, Get Compliant, and Improve Your Client Experiences with Winford\n\n<https://www.youtube.com/watch?v=LT92E0GtNc0>\n\nWinford connects to your existing meeting provider (e.g. Zoom, Teams, WebEx) without a meeting bot and automatically takes detailed notes on your client meetings in your style. Use our mobile-compatible site to capture in-person meetings.\n\nOur platform provides you with full control to configure certain security features, including the ability to ensure no recordings are stored.\n\nAhead of an upcoming client meeting, easily access notes from past interactions, and even view customized one-pagers and draft meeting agendas to help you get prepared.\n\nWhen you provide our team with sample follow-up emails in your firm’s format, we create customized templates that tee up follow-up emails leveraging key meeting points.\n\nYour tech stack (e.g. Salesforce) is linked directly to Winford based on your own customized settings - so your data is right where you need it.\n\nWe also provide unique analytics to help you better understand and recall client sentiment. For instance, review moments where clients positively or negatively reacted to new information, as well as access a compiled list of client questions and post-meeting action items.\n\n![uploaded image](/media/?type=post&id=86672&key=user_uploads/1406140/5d1fa628-60f1-4b4a-a92f-2e0d0907c30f)\n\n# Our Ask\n\nIf you know any financial advisors, RIA team members, or others who work in the advice space, please put us in touch. We’ll get back to you very quickly at [founders@winfordwealth.com](mailto:founders@winfordwealth.com).\n\nIf you yourself fall into one of those categories, please reach out! We’re happy to provide you with a 30-Day free trial!",
        "url": "https://www.ycombinator.com/launches/MXw-winford-wealth-your-intelligent-ai-meeting-assistant-built-for-financial-advisors",
        "votes": 38,
        "created_at": "2025-01-08T15:09:13.499Z"
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        "title": "Winford AI - AI tools for financial services professionals",
        "tagline": "We help financial services firms make better decisions and streamline manual tasks",
        "body": "**tl;dr:** If you're a finance professional who has ever been frustrated by tedious tasks or curious about how AI can help you, [Winford AI](https://winford.ai) is designed for you. Get in touch at [founders@winford.ai](mailto:founders@winford.ai)\n\n### **The Team:**\n\n[Jacob](https://linkedin.com/in/jacobtucker) (Co-Founder & CEO) spent several years as a private credit investor at Blackstone, where he was involved in the underwriting of new deals and management of existing positions.\n\n[Rohan](https://linkedin.com/in/rohanprashant) (Co-Founder & CTO) was previously a software engineer at Microsoft and NASA.\n\n![uploaded image](/media/?type=post&id=82812&key=user_uploads/1406140/c505d330-86b9-4529-bc27-001d53ca8405)\n\n### **The Problem:**\n\nFinancial services firms are stuck in the middle ages. Professionals often face the daunting task of navigating complex documents, compliance requirements, and manual data entry. Prospecting and ever-increasing client mandates make managing growing loads a challenge.\n\n### **Our Ask:**\n\n* **Introductions:** If you or someone you know is in financial services, we’d love to connect. Please feel free to reach out or make an introduction at [founders@winford.ai](mailto:founders@winford.ai) or through [LinkedIn](https://linkedin.com/in/jacobtucker).",
        "url": "https://www.ycombinator.com/launches/LXg-winford-ai-ai-tools-for-financial-services-professionals",
        "votes": 25,
        "created_at": "2024-08-07T14:42:39.403Z"
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    "long_description": "Hi - Mark and Gab here!\r\n\r\nWe met while working at Alt, a marketplace for collectibles, where we built a $200 million specialty finance business line. At Alt, we faced the complex challenges that come with servicing consumer loans. We spent countless hours and resources developing internal tools to manage loan payments, communicate with borrowers, and keep track of loan performance—all while ensuring a positive experience for our customers.\r\n\r\nHowever, after dealing with the headaches of manual data entry, fragmented systems, delayed payments, lack of personalized borrower engagement, and the stress of maintaining accurate records, we knew there had to be a better way to service consumer loans.\r\n\r\nSo, we started Finosu to build the servicer we wish we had—an AI-powered consumer loan servicer designed to streamline and enhance every aspect of the loan servicing process. \r\n\r\nOur mission is to transform loan servicing into a seamless, efficient, and customer-centric experience.\r\n\r\nThe operational cost of servicing loans reaches into the tens of billions a year and that is money out of the pocket of lenders, borrowers, investors, and ultimately the consumers as a cost of doing business – we are changing that.",
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        "user_id": 1996346,
        "full_name": "Mark Ricciardi",
        "title": "Founder/CEO",
        "founder_bio": "Started in finance as a special situations private credit investor and then moved to tech to build productized credit instruments. ",
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        "full_name": "Gabriel Vincent Kho",
        "title": "Founder/CTO",
        "founder_bio": "Stanford grad. Ex-Flexport. AI consultant (not currently because I'm working on my own start-up). I'm currently working on fixing the problems I faced in the credit space while working at Alt.",
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      {
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        "title": "Finosu: Automated compliance for consumer lending",
        "tagline": "We automate mandatory compliance to save lenders, investors, and auditors time and money.",
        "body": "**TL;DR: The consumer lending compliance process sucked, and so we started Finosu to build the tools we wish existed.**\n\nHi all - we’re [Gabriel](https://www.linkedin.com/in/%F0%9F%94%B0-gabriel-kho-924a6166/) and [Mark](https://www.linkedin.com/in/mark-ricciardi/). Together we built a $200m lending business within a fintech marketplace, and in doing so, spent hundreds of hours and hundreds of thousands of dollars on compliance work. \n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXewpShqbgrlpyOsuXmfPgyGdsFEMU-TvpnSN6zuBIVArSX2HyhiMSKCq-ksNr3LxRgI0ZfbArgbK9z7hZatDiRF3kyBB52ql40rnruBlrvUBZaTmEIqMJX4K8yK7dHBfQ_LHdvOr3ZVLRXjhNSLxXNMvR0B?key=yRFyYsAwfokUFio43hbr7g)\n\n**Problem:**\n\n* Regulatory compliance is mandatory to access the $5 trillion US consumer credit market\n* Compliance today is expensive, relies heavily on manual processes to navigate the complicated state and federal laws, and operates reactively to audit requests\n\n**Solution:**\n\nOur software relieves the pain of hunting through regulatory codes, the confusion of form filling, the surprise of regulatory deadlines, the monotony of PDF data extraction, the anxiety of brittle Excel spreadsheets, and the frustration of buried email threads with advisors… to name a few…\n\nWe ingest lenders’ existing information (PDFs, excels, loan management systems, etc.) and:\n\n* automate filing and maintenance of state lending licenses\n* automate preparation for loan book auditing \n* provide a loan management system that is natively and proactively compliant\n\n  ![uploaded image](/media/?type=post&id=83104&key=user_uploads/1996346/d368a12c-36cf-4ae3-8cce-f9e622731adc)\n\n\n**Why now:**\n\n* The cost of compliance has skyrocketed as federal agencies such as the Federal Reserve, FDIC, and OCC have [increased scrutiny](https://www.spglobal.com/marketintelligence/en/news-insights/latest-news-headlines/small-group-of-banking-as-a-service-banks-logs-big-number-of-enforcement-actions-80067110) on sponsor bank partnerships\n\n**The ask:**\n\n* If you work in or around all forms of lending at a fintech, investor, advisor, broker, or bank, we’d love to chat! \n* Share this post! If there is anyone in your network who deals with consumer lending, we would love to learn more about their problems and see if we can be helpful!\n  * Copy & paste blurb: A team of ex-fintech operators created a product to automate regulatory licensing and loan book auditing for consumer lending. Contact [mark@finosu.com](mailto:mark@finosu.com) to see a demo from the founders.",
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        "votes": 334,
        "created_at": "2024-08-15T23:13:24.511Z"
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    "website": "https://tryhelium.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Helium is building self-improving software — AI that continuously experiments on key moments in the user funnel to boost revenue. Our first customer, a social app with 20M MAU, uses Helium to test new in-app paywalls to get more users to subscribe. \r\n\r\nZach previously made $100M+ in growth experiments at Uber, Shishir led the first LLM features for Alexa, and Anish worked at Meta building ML to automatically experiment on ads, increasing Instagram ads conversion by 10%. ",
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        "full_name": "Zach Witzel",
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        "title": "Founder/CTO",
        "founder_bio": "Cofounder and CTO of Helium. ",
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        "url": "https://www.ycombinator.com/companies/helium/jobs/n4tOZ3R-founding-sr-full-stack-engineer",
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      {
        "id": 82822,
        "title": "🎈 Helium: Improve your paywall at the speed of thought",
        "tagline": "Launch and personalize paywalls without code.",
        "body": "![uploaded image](/media/?type=post&id=82822&key=user_uploads/538515/d43da3c4-aab2-4396-ba81-58d87b315f97)\n\n.\n\n# **TLDR**\n\n[Helium](https://tryhelium.com/) lets mobile companies launch and personalize upsell flows without code. We previously made >$100M in conversion experiments at Uber and Meta and are building the tools we wish we had.\n\nWith Helium, growth teams can add new paywalls or experiments in minutes! Helium also helps drive conversion with SmartSelect, our AI that finds the best paywall experience for each user.\n\nIf you know anyone working on consumer apps, [give us a shout](https://mailto:zach@tryhelium.com?subject=Connecting%20you%20to%20Zach%20at%20Helium%20(YC%20S24))! If we can’t help them earn 5x our price in new revenue, we’ll give their money back.\n\n.\n\n# **👋 We’re Helium!**\n\nWe’re building tools to experiment on in-app paywalls without code.\n\n* [Zach](https://linkedin.com/in/zachwitzel) (CEO) worked on in-app upsell at Uber. He ran dozens of conversion experiments that made >$100M.\n* [Anish](https://www.linkedin.com/in/anish-doshi-45a81271) (CPO) worked in ad optimization at Meta. He drove 10% in Instagram ad conversion through AI to personalize ads to users.\n* [Shishir](https://linkedin.com/in/shishirjakati) (CTO) worked on Alexa AI, using ML / LLMs to make Alexa smarter for millions of users.\n\n![uploaded image](/media/?type=post&id=82822&key=user_uploads/538515/8efbb041-f083-4f06-bac6-4a5dbfaef6c6)\n\nEarly on we realized how dumb it was that Zach spent years doing crude in-product personalization at Uber, while Anish built tools to automatically personalize tens of thousands of ad variants.\n\nWhile ads have come a long way, software upsell is stuck in the past — it’s too slow, too manual, and too one-size-fits-all.\n\n.\n\n# **👴📟📼 Mobile Paywalls are stuck in 2008**\n\nIn 2023, mobile in-app purchases crossed $150 billion, with $45B from subscriptions.\n\nMobile companies we talked to, from Headspace to Hinge, spend \\~1/3 of eng bandwidth on upsell, but optimizing in-app conversion is still highly manual. Teams spend months experimenting with paywall entry points, messaging, UX, targeting, premium features, and discounting.\n\nThe problem is that…\n\n* **⏰ Each change takes weeks**: Because paywalls live in native mobile code, making a change takes at least 6 weeks to code, test, launch to the app store, get it approved, and then get installs of the new version.\n* **🫨 Upsell becomes a maze**: There are typically dozens of entry points (onboarding, profile, feed, modals, etc) leading to different experiences. One prospect had 87 separate paywalls, so rolling out even small changes turns into weeks of manual work.\n* **🆘 Personalization is hard:** Personalization drives conversion (1 customer saw +40% conversion personalizing copy) but takes a ton of work. Most companies struggled with identifying key segments, designing custom experiences, implementing new logic in code, and dealing with many-variant experiments.\n\n.\n\n# **🎈 Introducing, Helium**\n\n![uploaded image](/media/?type=post&id=82822&key=user_uploads/538515/52f764dd-44b0-4c8d-a459-899f0f4a0ed0)\n\nHelium helps consumer app companies launch, manage, and improve paywalls without code.\n\nIt allows growth or product teams to run tests on their own (and stop bothering engineers) as they work on upsell conversion.\n\n* **🖥️ Visual editor**: Add new paywalls or multi-step flows all from the editor. All you need is one line of code to wire up your upsell flow with our SDK (React Native, Swift, & Android)\n* **🔬 Experimentation**: Add test copy, imagery, UI, or more, and run an experiment in 3 clicks. Results populate in your analytics tool\n* **👥 Personalization made simple**: Add as many variants as you want, and our AI algorithm (Smart Select) will find the right one for each user to drive conversion. Solve problems like…\n  * What CTA works best in each language?\n  * What feature do we emphasize for each customer segment?\n  * Which paywall do we show on onboarding vs app open?\n\n.\n\n# **😍 Ask: Intros to consumer mobile folks 😍**\n\nIf you know anyone who leads growth or monetization at a consumer mobile company, we’d love to talk to them to see if we can help!\n\nWe’re doing a design partner deal for the next few months…\n\n* White glove support for your implementation (or we can integrate Helium into your codebase directly for you)\n* We’ll run 3-5 experiments of your choice on your behalf\n* If we don’t make you 5x times our price in additional revenue, we’ll offer you a refund\n\n**If you know anyone who may be a fit, you can email us at** [**founders@tryhelium.com,**](mailto:founders@tryhelium.com) or just [**click here.**](https://mailto:zach@tryhelium.com?subject=Connecting%20you%20to%20Zach%20at%20Helium%20(YC%20S24))",
        "url": "https://www.ycombinator.com/launches/LXq-helium-improve-your-paywall-at-the-speed-of-thought",
        "votes": 29,
        "created_at": "2024-08-07T18:44:16.987Z"
      }
    ]
  },
  {
    "id": 29801,
    "name": "Rescript",
    "slug": "rescript",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0aaaece51f8461a1fcd555d3c78601c9adf54414.png",
    "website": "https://rescript.ai/",
    "all_locations": "Washington, DC, USA",
    "long_description": "Rescript is using AI to make the law transparent, accessible, and easy to act on. Laws and regulations differ across jurisdictions and are constantly changing, making them too complex for organizations to review and track manually at scale. We're building an agentic AI platform capable of aggregating and interpreting global regulations, tracking how they change, and identifying how organizations should respond. \r\n\r\nOur customers span AmLaw100 law firms, Fortune 100 corporations, and top trade associations across healthcare, retail, fintech and more. They depend on Rescript to help them comply with and act on an ever-changing regulatory landscape from the federal level down to individual cities.  \r\n\r\nWe're backed by YC, General Catalyst, and Floodgate. ",
    "one_liner": "AI for Legal & Public Policy Teams",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Legal",
    "launched_at": 1725406800,
    "tags": [
      "SaaS",
      "Civic Tech",
      "B2B",
      "LegalTech",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Active",
    "industries": [
      "B2B",
      "Legal"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/rescript",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/rescript.json",
    "year_founded": 2023,
    "city": "Washington",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/rescript-ai",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0aaaece51f8461a1fcd555d3c78601c9adf54414.png",
    "app_video_url": null,
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    "company_photos": [],
    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
    },
    "founders": [
      {
        "user_id": 912498,
        "full_name": "Nikhil Ajjarapu",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder and CEO of Rescript, building at the intersection of AI, legal, and public policy. Most recently, I developed products used by federal agencies while on Salesforce's Public Sector team, helped build out AI and process automation for the Air Force's Cloud Computing Team, and studied CS and Public Policy at Princeton.  ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/nikhil-ajjarapu",
        "x_url": "https://twitter.com/NikhilAjjarapu",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ebd2bef0374b740dc9701fc28fc6e4b893adef32.jpg"
      },
      {
        "user_id": 1525026,
        "full_name": "Alexander Pesendorfer",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder and CTO of Rescript. Building AI tools to track public policy. Previously, I studied Computer Science, Statistics, and Machine Learning at Princeton and worked on software at a leading derivatives marketplace.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/alex-pesendorfer",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/35397aac2e037eeed8cff9fd97b2015840961191.jpg"
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    "jobs": [
      {
        "id": 97357,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/rescript/jobs/znyGYRt-founding-engineer",
        "location": "Washington, DC, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$130K - $190K",
        "equity_range": "0.75% - 2.75%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
          "Microsoft Azure",
          "Python",
          "ETL"
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      }
    ],
    "news": [],
    "launches": [
      {
        "id": 83747,
        "title": "Rescript — AI Regulatory Analyst for Enterprises",
        "tagline": "We track emerging policies and create well-researched compliance and advocacy materials.",
        "body": "**Tl;dr:** [Rescript](https://rescript.ai/) helps regulatory compliance and advocacy teams monitor, analyze, and act on the never-ending stream of regulatory and political developments.\n\n**Problem:** \n\nRegulatory lawyers and lobbyists guide companies through constantly changing legal and political environments and are paid tens of billions of dollars every year to do so.\n\nBut there’s too much to track manually: to identify any new risk or opportunity in the US alone, they have to monitor 150,000+ laws introduced, 300,000+ hours of government hearings, and thousands of new regulations and enforcement suits every year.\n\n![uploaded image](/media/?type=post&id=83747&key=user_uploads/912498/4e8e332c-8c30-49ec-a086-b4e6099706e6)\n\n**Solution:**\n\nRescript automates this process from end to end. We’ve built AI agents that scrape legislation and regulation as it changes, identify what’s relevant for you, and help you create well-researched compliance and advocacy materials.\n\n1. **Exhaustive Tracking:** Rescript’s AI Agents scan the web and create detailed analyses of everything you need, including hearings, regulations, news, and press releases.  \n2. **Intelligent Filtering:** Our tool uses human-like reasoning to determine if a new development involves the user’s policy issues. No more dealing with keywords. \n3. **Personalized Analysis:** Collaborate with AI to translate regulatory updates into actionable insights for internal business and compliance teams.\n\n**The Team:** \n\n[Nikhil](https://www.linkedin.com/in/nikhil-ajjarapu/) previously worked as a consultant for the DoD and built software for major federal agencies with Salesforce’s Public Sector team. He graduated magna cum laude from Princeton, where he studied Computer Science and earned minors in History & Public Policy.\n\n[Alex](https://www.linkedin.com/in/alex-pesendorfer/) previously worked in software engineering at a leading derivatives marketplace. He graduated summa cum laude from Princeton with a BSE in Computer Science and minors in Statistics, Machine Learning, and Finance.\n\n[Vince](https://www.linkedin.com/in/vincentjh/) holds an MS in Computer Science and a BA in Philosophy from Stanford and previously staffed the House Science Committee in Congress.\n\n**Working with us**\n\nRescript is already used by top-10-ranked government relations firms and AmLaw 200 law firms.\n\nIf you’re interested in learning more, please [schedule a time with us here for a 15-minute demo](https://calendar.google.com/calendar/u/0/appointments/schedules/AcZssZ2QGC5HMWdnOcDcz1cPXamWS8qKzQWFktlQLupOBtY50W-JOfXsHabKGx6u7Nod59taBnm7-dYe), or message us at [team@rescript.ai](mailto:team@rescript.ai).\n\n![uploaded image](/media/?type=post&id=83747&key=user_uploads/912498/bde7885e-51fe-4797-9829-38c511d81f18)\n\n",
        "url": "https://www.ycombinator.com/launches/Lml-rescript-ai-regulatory-analyst-for-enterprises",
        "votes": 121,
        "created_at": "2024-09-04T15:37:24.750Z"
      }
    ]
  },
  {
    "id": 29807,
    "name": "Dataleap",
    "slug": "dataleap",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/faee29cbea32c379ce896ec9fb7d1788061afc21.png",
    "website": "https://dataleap.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "At Dataleap we have one single focus - make knowledge work at your computer fun! Give all the other roles in sales, ops, hr the same super powers that engineers get with Cursor and Claude Code. \r\n\r\nDataleap is the agentic operating system for the Enterprise. We enable business teams to automate they work without any help from engineering. No visual workflow builder, no hour long setup or steep learning curve in n8n. Build your AI coworkers in minutes with a fully agent first interface. \r\n",
    "one_liner": "AI Employees for the Enterprise",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1722218933,
    "tags": [
      "Generative AI",
      "Enterprise Software",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/dataleap",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/dataleap.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/dataleap-inc/",
    "x_url": "https://x.com/dataleapHQ",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/faee29cbea32c379ce896ec9fb7d1788061afc21.png",
    "app_video_url": null,
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    "company_photos": [
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    ],
    "primary_partner": {
      "name": "Harj Taggar",
      "url": "https://www.ycombinator.com/people/harj-taggar"
    },
    "founders": [
      {
        "user_id": 1018869,
        "full_name": "Jan Damm",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder and CEO at Dataleap. Before Dataleap, I worked as an APM in the Google search team as well as a consultant.\n",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/jandamm",
        "x_url": "https://twitter.com/jh_damm",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5be4d8a1a919c196d1984584b68ea249dbe141fb.jpg"
      },
      {
        "user_id": 233703,
        "full_name": "Jan-Hendrik Ruettinger",
        "title": "Founder/CTO",
        "founder_bio": "Cofounder and CTO at Dataleap. Before Dataleap, I worked as an AI researcher at Oxford University and Volkswagen. I also had a brief stint in consulting at BCG. ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/janruettinger",
        "x_url": "https://twitter.com/jan_ruettinger",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f82de9105505cf303d87266026d4a7ad47d28752.jpg"
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    ],
    "jobs": [
      {
        "id": 89634,
        "title": "Founding Engineer (Platform/Backend)",
        "url": "https://www.ycombinator.com/companies/dataleap/jobs/cnUB9ED-founding-engineer-platform-backend",
        "location": "San Francisco, CA, US / Munich, BY, DE / Munich, Bavaria, DE",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $250K",
        "equity_range": "0.20% - 1.00%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 97034,
        "title": "Founding Deployment Strategist (Munich Office)",
        "url": "https://www.ycombinator.com/companies/dataleap/jobs/3ROwnay-founding-deployment-strategist-munich-office",
        "location": "Munich, Bavaria, DE",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "€90K - €150K EUR",
        "equity_range": "0.10% - 0.50%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 102809,
        "title": "Working Student/Intern",
        "url": "https://www.ycombinator.com/companies/dataleap/jobs/ucclInO-working-student-intern",
        "location": "San Francisco, CA, US / Munich, BY, DE / Munich, Bavaria, DE / Remote",
        "type": "Contract",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$25 - $35 / hourly",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
        "skills": [
          "Go",
          "TypeScript"
        ]
      },
      {
        "id": 108518,
        "title": "Deployment Strategist (Munich Office)",
        "url": "https://www.ycombinator.com/companies/dataleap/jobs/KfYt1tJ-deployment-strategist-munich-office",
        "location": "Munich, Bavaria, DE",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "€50K - €80K EUR",
        "equity_range": "0.10% - 0.25%",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 113963,
        "title": "Ex-Founder with Track Record",
        "url": "https://www.ycombinator.com/companies/dataleap/jobs/yJyyoP6-ex-founder-with-track-record",
        "location": "Munich, BY, DE / Munich, Bavaria, DE",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "€90K - €150K EUR",
        "equity_range": "0.30% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 113996,
        "title": "Founding Sales (Munich Office)",
        "url": "https://www.ycombinator.com/companies/dataleap/jobs/N4IQVV3-founding-sales-munich-office",
        "location": "Munich, BY, DE / Munich, Bavaria, DE",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$100K - $300K",
        "equity_range": "0.30% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 97054,
        "title": "Dataleap - Claude Code for Business Users",
        "tagline": "Building the world's first vibe working platform",
        "body": "![uploaded image](/media/?type=post&id=97054&key=user_uploads/1018869/d5ebf42e-fb02-485d-9be5-50bc50eeb4d2)\n\nToday we're launching Dataleap, the first 𝘃𝗶𝗯𝗲 𝘄𝗼𝗿𝗸𝗶𝗻𝗴 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺 that gets stuff done for knowledge workers.\n\n𝗧𝗵𝗶𝗻𝗸 𝗖𝗹𝗮𝘂𝗱𝗲 𝗖𝗼𝗱𝗲 𝗳𝗼𝗿 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝘂𝘀𝗲𝗿𝘀.\n\nCoders are already living in the future with Claude Code and Cursor. For the rest of us? Barely anything has changed.\n\nUntil now.\n\n𝗗𝗮𝘁𝗮𝗹𝗲𝗮𝗽 𝗰𝗼𝗺𝗯𝗶𝗻𝗲𝘀 𝘁𝗵𝗲 𝗯𝗲𝘀𝘁 𝗼𝗳 𝗖𝗵𝗮𝘁𝗚𝗣𝗧, 𝗖𝗹𝗮𝘂𝗱𝗲 𝗖𝗼𝗱𝗲, 𝗮𝗻𝗱 𝗻𝟴𝗻 𝗶𝗻 𝗼𝗻𝗲 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺.\n\nWork synchronously with AI on one-off tasks - then with one word, turn it into a background agent that executes work for you while you sleep.\n\nWe are not a workflow builder, no visual canvas, no moving around nodes. We architected Dataleap to be truly agentic from the ground up. It feels like a coworker.\n\n𝗠𝗲𝗲𝘁𝗶𝗻𝗴 𝗯𝗿𝗶𝗲𝗳𝗲𝗿 - Check past emails, Slack connect messages, and Hubspot notes to get up to date before a meeting.\n\n𝗘𝘅𝗲𝗰𝘂𝘁𝗶𝘃𝗲 𝗮𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁 - CC your ea@ email address hooked up to Dataleap to schedule meetings for you\n\n𝗔𝗜 𝗦𝗗𝗥 - Research 50 Head of Controlling at your ICP companies, get their phone numbers, and create a task for each with a call brief in Hubspot\n\n𝗕𝘂𝗴 𝗥𝗲𝗽𝗼𝗿𝘁𝗲𝗿 - Check all Slack Connect channels for bugs and file them in Linear and remind the team to fix them\n\n𝗟𝗶𝗻𝗸𝗲𝗱𝗶𝗻 𝗖𝗼𝗻𝗻𝗲𝗰𝘁𝗼𝗿 - Send connection request to all external meeting participants at the end of the day.\n\nGet shit done!\n\nCoding agents opened a glimpse into the future of AI. Dataleap is the tool for the 99% to discover this future.\\\n\\\n[https://youtu.be/4HLFd3ER0XE?si=NhCigjzVgoVr5Ck5](https://youtu.be/4HLFd3ER0XE?si=NhCigjzVgoVr5Ck5)\n\\\n\\\n**About us:**\n\n[Jan-Hendrik Rüttinger](https://www.linkedin.com/in/janruettinger/) and I ([Jan-Hendrik Damm](https://www.linkedin.com/in/jandamm/)) met during our studies at CDTM in Munich 5 years ago and shared an apartment ever since. We instantly knew that we would start a company together one day, not just because we had the exact same uncommon name, but because we just clicked. I went on to work in consulting at McKinsey and as an APM at Google in the search team. He decided to pursue machine learning research at Oxford. Last year, we decided it was time to make the leap, moved to the US, and started Dataleap.\n\n![uploaded image](/media/?type=post&id=97054&key=user_uploads/1018869/e8b6ba99-c4de-48bb-8aad-1517182b879b)\n\n# ",
        "url": "https://www.ycombinator.com/launches/PFO-dataleap-claude-code-for-business-users",
        "votes": 7,
        "created_at": "2026-01-22T23:55:28.924Z"
      },
      {
        "id": 83457,
        "title": "Dataleap - Perplexity for Consultants",
        "tagline": "Instead of relying on the general web, Dataleap searches through a curated database of market data from public and commercial data providers.",
        "body": "**_TL;DR -_** [_Dataleap_](https://www.ycombinator.com/companies/dataleap) is a GenAI-powered market research platform for management consulting firms and corporate strategy departments.\\\n**Think Perplexity for Consultants.**\n\n_Our secret sauce is combining the natural language interface from Perplexity with trusted, verifiable market data from best-in-class market research firms and the company’s internal resources. We already work with two of the three tier 1 consultancies (MBB) and industry giants like Uniper and Siemens Energy._ \\\n[_Try it out here!_](https://dataleap.ai/)\n\n![uploaded image](/media/?type=post&id=83457&key=user_uploads/1018869/02fe7c8f-50ea-4c20-8212-61614e1015b4)\n\n# **Problem:**\n\n* AI search tools like **Perplexity or ChatGPT are not cutting it for professionals analyzing markets**. The answers are either hallucinated or using low-quality sources.\n* Consultants & corporate strategy departments need to work with **paywalled data** curated from expert market research firms like WoodMackenzie, Rystad, or S&P Global.\n* They do not want to interact with 15 different platforms or badly implemented AI chats but with one platform that is close to them and aggregates everything.\n\n# **Solution:**\n\n1. Dataleap provides a **powerful AI Copilot** that aggregates and searches through all the relevant market data that strategy teams need to look at.\n\n   ![uploaded image](/media/?type=post&id=83457&key=user_uploads/1018869/9632454d-b1c0-4d26-9a72-f646fa636a2f)\n\n2. We always **highlight the exact sentence** in the original data where the information is coming from so that you can trust it and make real business decisions based on it.\n\n   ![uploaded image](/media/?type=post&id=83457&key=user_uploads/1018869/328dfc41-53ae-42d2-8629-73e16cb1d72d)\n\n3. You can also **upload your proprietary information** to have the full picture of all your available information within Dataleap.\n\n   ![uploaded image](/media/?type=post&id=83457&key=user_uploads/1018869/124c9538-8375-4b79-88ca-6ec967a84530)\n\n4. You can not just search through the documents but also conduct meta-studies of reports or extract your own datasets from documents with our **document matrix**\n\n   ![uploaded image](/media/?type=post&id=83457&key=user_uploads/1018869/c44448c3-527d-4caf-a92b-984c7a1ace83)\n\n\n# **About us:**\n\n[Jan-Hendrik Rüttinger](https://www.linkedin.com/in/janruettinger/) and I ([Jan-Hendrik Damm](https://www.linkedin.com/in/jandamm/)) met during our studies at CDTM in Munich 5 years ago and shared an apartment ever since. We instantly knew that we would start a company together one day, not just because we had the exact same uncommon name but because we just clicked. I went on to work in consulting at McKinsey and as an APM at Google in the search team. He decided to pursue machine learning research at Oxford. Last year, we decided it was time to make the leap, moved to the US, and started Dataleap.\n\n![uploaded image](/media/?type=post&id=83457&key=user_uploads/1018869/e2e8c5ee-b3f3-4d48-8d7f-f1b900d0dc09)\n\n# **Ask:**\n\n**Please introduce us to strategy and market intel teams at big energy companies** (energy is the first industry we started with), e.g., Dominion Energy, RWE, BP, Shell, GE Vernova. → Email address: [**jan.damm@dataleap.ai**](mailto:jan.damm@dataleap.ai)",
        "url": "https://www.ycombinator.com/launches/Li5-dataleap-perplexity-for-consultants",
        "votes": 112,
        "created_at": "2024-08-27T14:40:30.962Z"
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    "team_size": 12,
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    "subindustry": "Industrials -> Aviation and Space",
    "launched_at": 1718841179,
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    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/starcloudinc",
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      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
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        "user_id": 1489854,
        "full_name": "Philip Johnston",
        "title": "Founder/CEO",
        "founder_bio": "Philip is a second-time founder who previously spent time at McKinsey & Co. working on satellite projects for national space agencies. Philip has an MPA in National Security & Technology from Harvard University, an MBA from Wharton, an MA in Applied Mathematics & Theoretical Physics from Columbia University, and is a CFA Charter holder.",
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        "linkedin_url": "https://linkedin.com/in/philipjohnst0n",
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        "full_name": "Ezra Feilden",
        "title": "Founder/CTO",
        "founder_bio": "Ezra has a decade of experience with satellite design, specializing in deployable solar arrays and large deployable structures. Ezra comes from Airbus Defense & Space (SSTL) and Oxford Space Systems, where he worked on many missions, including NASA's Lunar Pathfinder. Ezra has a PhD in Materials Engineering from Imperial College London.",
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        "user_id": 1861208,
        "full_name": "Adi Oltean",
        "title": "Founder",
        "founder_bio": "I have a software and hardware background. As part of SpaceX and Microsoft I delivered key features in satellite networks, operating systems, cloud and machine learning infra. \n\nMy focus areas at Starcloud include software, hardware and engineering design aspects of our satellite constellation. ",
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      {
        "id": 115514,
        "title": "Electrical Engineer",
        "url": "https://www.ycombinator.com/companies/starcloud/jobs/tJF6I6L-electrical-engineer",
        "location": "Redmond, WA, US",
        "type": "Full-time",
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        "role_type": "Electrical",
        "salary_range": "$100K - $200K",
        "equity_range": "",
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      {
        "title": "Starcloud raises $170M for space-based data centers, hits $1.1B valuation",
        "url": "https://www.geekwire.com/2026/orbital-ai-seattle-area-startup-starcloud-hits-1-1b-valuation-to-build-space-based-data-centers/",
        "date": "Mar 30, 2026"
      },
      {
        "title": "Could data centres ever be built in orbit? Starcloud thinks so",
        "url": "https://www.economist.com/science-and-technology/2025/04/09/could-data-centres-ever-be-built-in-orbit",
        "date": "Apr 16, 2025"
      },
      {
        "title": "Could data centres ever be built in orbit?",
        "url": "https://www.economist.com/science-and-technology/2025/04/09/could-data-centres-ever-be-built-in-orbit",
        "date": "Apr 09, 2025"
      },
      {
        "title": "Newly renamed Starcloud raises $10M for space data centers",
        "url": "https://www.geekwire.com/2025/lumen-orbit-starcloud-10m-space-data-centers/",
        "date": "Feb 26, 2025"
      },
      {
        "title": "The answer to tech’s clean energy problem? Put data centres in space",
        "url": "https://www.thetimes.com/business-money/companies/article/the-answer-to-techs-clean-energy-problem-put-data-centres-in-space-6pl9z5zbw",
        "date": "Feb 11, 2025"
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    ],
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      {
        "id": 83713,
        "title": "Starcloud🚀 Data Centers in Space",
        "tagline": "Starcloud is building data centers in space to make use of 24/7 solar energy and passive cooling. ",
        "body": "![uploaded image](/media/?type=post&id=83713&key=user_uploads/1489854/7e0ffedf-fdc5-45ce-ade1-c091f6c96ea5)\n\n# **TL;DR** - We should train future large AI models in space to make use of abundant solar energy, cooling, and the ability to freely scale up.\n\nHey all, we're building data centers in space. We’re launching our first satellite next year, which will have the most powerful GPUs ever put in space by >100x. We will launch a larger iteration each year until we reach gigawatt scale.\n\n## **❌The Problem**\n\nFuture hyperscale data centers will put a huge strain on electricity grids, freshwater distribution, and the Western world’s permitting systems. It will simply not be possible to deploy multi-gigawatt scale data centers rapidly in the way we build data centers today.\n\n## **✨Our Solution**\n\nWe take advantage of falling launch costs to make use of inexpensive solar energy in space and low-cost passive radiative cooling, rapidly scaling up orbital data centers almost indefinitely without the physical or permitting constraints faced on Earth. This will ensure we can continue training ever larger models without destroying the environment.\n\n## **⚙️ Read our white paper**\n\nCheck out our [**white paper**](https://lumenorbit.com/wp) for more information on why space data centers are the future and how we’re going about making this happen.\n\nSee a short video on the design [here](https://www.youtube.com/watch?v=DIaKDUzFMpk).\n\n## **🏆 What we’ve achieved so far**\n\n* Booked our first launch (May 2025) and our second launch (H2 2026)\n* Set up our payload manufacturing facility in Redmond, WA\n* Designed and started building and testing our first spacecraft, with the fastest GPUs to ever launch to space by \\~100x\n* Created concept designs for our micro data center (2026 launch) and our Hypercluster data center (launching when Starship-class launch vehicles enter commercial service)\n* Secured high-value LOIs for H100 compute time in space\n\n## **🔜 What’s next**\n\n* Launch and complete our demonstrator mission, which will train the first LLM in space!\n* Prototype our micro-data center design\n* Secure contracts which incumbent hyper scalers\n\n## **👥 Our Team**\n\n![uploaded image](/media/?type=post&id=83713&key=user_uploads/1489854/22431fb2-7f3d-42f8-b2a2-32f684a6cf2b)\n\n[**Philip**](https://www.linkedin.com/in/johnstonphilip/), CEO, is a second-time founder who has worked at McKinsey & Co. working on satellite projects for national space agencies. Philip has an MPA in National Security & Technology from Harvard University, an MBA from Wharton, an MA in Applied Mathematics & Theoretical Physics from Columbia University, and is a CFA Charter holder.\n\n[**Ezra**](https://www.linkedin.com/in/ezrafeilden/), CTO, has a decade of experience with satellite design, specializing in deployable solar arrays and large deployable structures. Ezra comes from Airbus Defense & Space (SSTL) and Oxford Space Systems, where he worked on missions including NASA's Lunar Pathfinder. Ezra has a PhD in Materials Engineering from Imperial College London.\n\n[**Adi**](https://www.linkedin.com/in/adioltean/), Chief Engineer, was previously a Principal Software Engineer at SpaceX, where he was part of the Starlink network team enabling Starlink for in-motion users, including Starship. Before that, he deployed the first LLMs on large GPU production clusters at Microsoft, where he also delivered more than 25 patents in more than two decades. Adi holds degrees in Computer Science and Chemistry from the top two universities in Bucharest.\n\n## **🙏 Asks**\n\nJoin our team! If you are or know any hardcore engineers with experience in aerospace or data center infrastructure and are interested in working with the Starcloud team, please get in touch!\n\n[**https://www.starcloud.com/careers**](https://www.lumenorbit.com/careers)\n\nWe are also interested in talking to operators and customers of hyperscale training clusters who are contemplating the scale-up from megawatts to gigawatts.",
        "url": "https://www.ycombinator.com/launches/LmD-starcloud-data-centers-in-space",
        "votes": 44,
        "created_at": "2024-09-03T19:42:08.218Z"
      }
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  },
  {
    "id": 29814,
    "name": "Vendra",
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    "all_locations": "San Francisco, CA, USA",
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    "team_size": 10,
    "industry": "Industrials",
    "subindustry": "Industrials -> Manufacturing and Robotics",
    "launched_at": 1724084407,
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      "America / Canada"
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    "year_founded": 2024,
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      "name": "David Lieb",
      "url": "https://www.ycombinator.com/people/david-lieb"
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        "user_id": 914508,
        "full_name": "Shan Mohta",
        "title": "Founder/CEO",
        "founder_bio": "CEO of Vendra. I'll help you get parts manufactured in America. I also built cool hardware at Skydio, Apple, & Microsoft.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/shanmohta/",
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        "type": "Full-time",
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        "role_type": "Mechanical",
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        "experience": "Any (new grads ok)",
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        "title": "Vendra - Custom Parts, Manufactured in America 🇺🇸",
        "tagline": "Vendra brings you fast quotes, rapid production, and direct access to US manufacturers ready to build your parts.",
        "body": "Hi YC, we’re [Anish](https://www.linkedin.com/in/anish-bhardwaj-00109695/) and [Shan](https://www.linkedin.com/in/shanmohta/) from Vendra!\n\n### **TL;DR**\n\n**Vendra is the best way to manufacture custom parts in the US, beating legacy platforms like Xometry and Protolabs at their own game.**\n\n[**Submit an RFQ today**](https://vendra-marketplace.io/) **to get fast quotes, short lead times, and experience the difference yourself. 🚀**\n\n<https://www.youtube.com/watch?v=EgyZNkBfHLQ>\n\n# **THE PROBLEM**\n\nManufacturing is coming back to America, but getting your parts made is still a frustrating process. Existing platforms (like Xometry and Protolabs) hide suppliers from you, mark up your parts, and give you minimal control and flexibility.\n\nAlternately, you do a bunch of manual outreach to find suppliers, check if they have production capacity, see if they have the right equipment, can provide a quote quickly, can meet your tolerances and finish, follow-up a bunch of times, etc… Whichever option you use today - it sucks.\n\n# **THE SOLUTION**\n\nJust submit ONE RFQ on Vendra - **_that’s literally it._**\n\nWe match your parts to US manufacturers who meet your exact specs and automate all the manual sourcing steps. You receive multiple competitive quotes and lead times, collaborate directly with suppliers on design and manufacturing details, and choose exactly who builds your parts.\n\n![uploaded image](/media/?type=post&id=88957&key=user_uploads/914508/a65ec6d6-69cd-4490-a8f9-8089c0a00ef4)\n\nWe’re the **_only platform_** optimized for real-time production capacity. Need parts machined on a 5-axis CNC or printed on a large-format SLS printer? We’ll connect you exclusively with suppliers who have that exact equipment available immediately - **_so you get fast quotes and even faster production._**\n\nWe’re already trusted by Apple, Skydio, and leading aerospace and hard-tech startups. **_Our automation and capacity optimization have saved them up to 40% on part cost and cut lead times in half_** compared to legacy platforms.\n\n# **THE ASK**\n\n* Need parts made? [Submit an RFQ!](https://vendra-marketplace.io/)\n* Know someone who needs parts made? Send them this post or tell them to [submit an RFQ!](https://vendra-marketplace.io/)\n* Follow us on [LinkedIn](https://www.linkedin.com/company/vendra-hq/) and [X!](https://x.com/vendraHQ) Oh, and [SUBMIT AN RFQ!](https://vendra-marketplace.io/)\n\n![uploaded image](/media/?type=post&id=88957&key=user_uploads/914508/6c2e372e-651b-40e6-930d-96193dfb5e26)\n\n",
        "url": "https://www.ycombinator.com/launches/N8n-vendra-custom-parts-manufactured-in-america",
        "votes": 284,
        "created_at": "2025-03-25T16:40:06.168Z"
      },
      {
        "id": 83256,
        "title": "Vendra - AI vendor and project management for hardware teams",
        "tagline": "We use AI to help hardware teams manage projects, files, and more with their vendors and suppliers - all with no change to their existing workflows",
        "body": "### TL;DR\n\n* Hardware engineers **_should_** spend their time building cool products, but they **_actually_** spend their time dealing with vendors and doing non-engineering work (digging through emails, searching for files, updating spreadsheets, etc.)\n* Traditional project management solutions don’t really work in hardware, and vendor communications inevitably revert to emails/text messages/WeChat/etc.\n* Vendra uses AI to understand these vendor communications, giving hardware teams modern project management and instant information lookup with almost no change to their existing workflow\n* We offer solutions to hardware teams at all stages - [book a demo today!](https://calendly.com/vendra-shan/30-minute-vendra-chat)\n\n### The Team\n\nWe’re [Shan](https://www.linkedin.com/in/shanmohta/) and [Anish](https://www.linkedin.com/in/anish-b-00109695/)! We’ve known each other since childhood when our parents moved from India to the same apartment complex in Santa Clara. Between us, we’ve built a lot of cool hardware (cameras for autonomous drones, AR/MR headsets) and cool software (ML for satellites, AI for the shipping industry).\n\n![uploaded image](/media/?type=post&id=83256&key=user_uploads/914508/f65f0c3b-ceef-4c41-b76f-0ded74c39615)\n\n### The Problem\n\nAs a former hardware engineer, Shan experienced the challenges of managing complex projects across a network of vendors, suppliers, and manufacturers. He saw hardware teams struggle to use traditional project management solutions with vendors because of the unstructured nature of projects and communications, security and access issues, and difficulties in the adoption of new processes. The workflow inevitably defaulted to emails, text messages, WeChat, etc., often leading to misplacement of crucial information.\n\nA 2021 report revealed that 70% of engineers still use email for external collaboration, struggling to track critical information across teams. 94% of engineers want faster access to data, and 29% often work with outdated information, leading to costly delays, reworks, and longer time to market.\n\nWe’re building Vendra to change that.\n\n### The Solution\n\n**Vendra uses AI to bring a smart project management suite and file repository to hardware teams working with vendors and suppliers - all with no change to existing workflows.**\n\nSimply connect Vendra to your email/WeChat/WhatsApp/Slack (or cc it to your conversations and threads):\n\n![uploaded image](/media/?type=post&id=83256&key=user_uploads/914508/0497419e-34ee-4f22-8f08-e15331533c4c)\n\nVendra automatically contextualizes your emails/messages/files and generates key takeaways like project and conversation summaries, open items, blockers, tasks, etc. It also creates a smart file directory so you never have to go digging through emails or attachments ever again.\n\nEasily access all this information from anywhere through our SlackBot, GPT-like chat interface, or web-based dashboard:\n\n![uploaded image](/media/?type=post&id=83256&key=user_uploads/914508/ad310c5b-4582-4e07-9e43-1bbaf6691b37)\n\nYou can ask Vendra AI things like\n\n* ‘Show me all the quotes and lead times we got from vendors for the upper bracket machining in the past month’\n* ‘What are all the open items for the enclosure injection molding tooling?’\n* ‘Pull up the RF module datasheet the supplier sent me last week’\n* And so much more!\n\nFor teams looking for 2-way external collaboration, we also offer VendraPM - a secure end-to-end platform to onboard your vendors and work together across projects and tasks. Features like secure file sharing, document revision control, and AI-enabled language translation make external work easier than ever:\n\n![uploaded image](/media/?type=post&id=83256&key=user_uploads/914508/850d8b2a-133f-492b-a346-3f441932ab20)\n\n### The Ask\n\n* If you work in hardware, [book a demo today!](https://calendly.com/vendra-shan/30-minute-vendra-chat)\n* We also love warm intros to folks in hardware - if you know anyone working in (or around) hardware, we’d love to chat with them to understand their workflow and see how we can help!\n* Follow us on [LinkedIn](https://www.linkedin.com/company/vendra-hq/) and [X!](https://x.com/vendraHQ)",
        "url": "https://www.ycombinator.com/launches/Leq-vendra-ai-vendor-and-project-management-for-hardware-teams",
        "votes": 1024,
        "created_at": "2024-08-23T15:30:21.401Z"
      }
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    "id": 29820,
    "name": "Kontigo",
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    "website": "https://kontigo.lat/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We’re building Kontigo, a USDC Smart Neobank for Latinos in the U.S. and Latin America.\r\n\r\nWe launched our Peer-to-Peer onramp 20 days ago and we’ve already had $540k in deposits, 10k active users and a +300k waitlist. \r\n\r\nThe founding team has built and scaled fintechs in Latam, and it’s ex-Venmo, Nubank, Rappi, MercadoLibre, Ualá, Platzi, and Yuno. \r\n\r\nWe’re already backed by DST Global, Soma Capital, Pioneer Fund, Transpose + 10 YC alums.\r\n\r\nSending money to Latin America is just as painful as holding it due to the region's fragmentation into 33 countries with 39 different currencies. \r\n\r\nOn one hand, cross-border payments to Latam are absurdly expensive (up to 20% per transaction). Conversely, over the past decade, currency depreciation across the region has become unsustainable. (some countries surpassing the trillion percent ). \r\n\r\nKontigo solves this with a USDC global wallet & a BTC savings account. \r\n\r\n- Like Venmo, but on-USDC.\r\n- Like Zelle, but for cross-border payments. No limits.\r\n- Like Nubank & Revolut, but without inflationary currencies. Bitcoin-backed.\r\n\r\nUser wallets are connected to an AI-private banker on WhatsApp to execute international USDC transactions. ",
    "one_liner": "USDC-Smart Neobank for Latinos. ",
    "team_size": 10,
    "industry": "Fintech",
    "subindustry": "Fintech -> Banking and Exchange",
    "launched_at": 1718239306,
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    "batch": "Summer 2024",
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    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/kontigolatam/?viewAsMember=true",
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    "primary_partner": {
      "name": "Tom Blomfield",
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    "founders": [
      {
        "user_id": 1585542,
        "full_name": "jesus alberto Castillo ferrer",
        "title": "Founder/CEO",
        "founder_bio": "I'm a Venezuelan founder obsessed with closing the financial inclusion gap for 1.7 billion humans. \n- Previously built the largest micro-lending platform in Venezuela, reaching over 500k SMBs in low-income communities with no financial history, implementing Muhammad Yunus methodology powered by ML. \n- Co-founded the first LLM marketplace in LatAm using micro-payments instead of subscriptions. \n- Founder at Bicuye, the most exotic Agave-Based Liquour with an Ultra-Premium membership club.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jesus-castillo-81a58b186/",
        "x_url": "https://twitter.com/jecastillof",
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      {
        "user_id": 489843,
        "full_name": "Gino Guatavita",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder & CTO at Kontigo. Tackling one of the biggest challenges in the region, access to credit and the financial system. Currently 500M+ people on Latam are under-banked, we are solving this with alternative data, AI and Web3.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/gino-guatavita-7269139b",
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    "jobs": [
      {
        "id": 70394,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/kontigo/jobs/xAo6tMt-founding-engineer",
        "location": "San Francisco, CA, US / Remote",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$40K - $120K",
        "equity_range": "0.50% - 2.50%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 99410,
        "title": "Head of Security ",
        "url": "https://www.ycombinator.com/companies/kontigo/jobs/uNttrlv-head-of-security",
        "location": "San Francisco, CA, US / Remote",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Engineering manager",
        "salary_range": "$120K - $220K",
        "equity_range": "0.50% - 1.00%",
        "experience": "3+ years",
        "visa": "Will sponsor",
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    "news": [],
    "launches": [
      {
        "id": 83682,
        "title": "Kontigo - A USDC-smart neobank for Latinos",
        "tagline": "Connecting all Latinos across the U.S. and LatAm through a single banking app.",
        "body": "**TL;DR**; We're connecting all Latinos across the U.S. and Latin America through a single banking app that is global, instant, and stable.\n\nHi everyone, we are Jesus & Gino, and we’re building [Kontigo](https://www.kontigo.lat/) —**A USDC-smart neobank for Latinos.** (With a Bitcoin piggy bank).\n\n![uploaded image](/media/?type=post&id=83682&key=user_uploads/1585542/a17fe45d-9aa1-4648-bc25-8550859b7208)\n\n**The real problem:**\n\n* The fundamental problem behind high fees, underbanked users, and failed currencies, both in Latam and the US, is precisely the same: the lack of a stable currency with global access and minimum government interference.\n\n**The consequence of the problem:**\n\n* The U.S. is home to 65 million Latinos, representing the fastest-growing population in the country; despite this, 35% of them are underbanked.\n* Each year, Latinos in the U.S. send over $170 billion to Latin America, often incurring fees as high as 20%.\n* Once the money reaches Latam, recipients may incur additional fees of up to 10% to convert and cash out.\n* In contrast, Latin America has a population of 700 million, with 20% of households relying on remittances for income and 75% of the population being underbanked.\n* Latin America's financial fragmentation worsens the problem, with 33 countries using 39 different currencies. Over time, all of these currencies have failed due to devaluation, inflation, and poor monetary policies.\n\n**Kontigo offers a USDC global wallet with a BTC savings account.**\n\n* Like Venmo, but on USDC.\n* Like Zelle, but for cross-border payments. No limits.\n* Like Nubank & Revolut, but without inflationary currencies. Bitcoin-backed.\n\nMade for real-life use cases—no crypto BS.\n\n![uploaded image](/media/?type=post&id=83682&key=user_uploads/1585542/1a5b8826-04d6-425d-b220-7f0c0b9d59c1)\n\nUser wallets are connected to an **AI-private banker on WhatsApp** for their daily needs.\n\n* Execute international USDC transactions.\n* Build-Credit. Build Wealth.\n* Plan your BTC retirement.\n\n![uploaded image](/media/?type=post&id=83682&key=user_uploads/1585542/8e5709b6-267d-4206-939c-c5c810cd2ac9)\n\n**We have brought together a “founder mode” dream team!**\n\n* \\+10 years building in fintech.\n* CEO prev built the largest micro-lending app in Venezuela.\n* CTO prev built and scaled 2 fintech companies in Colombia, Mexico and Ecuador.\n* CPO prev built A WhatsApp co-pilot for business owners. Ex-Platzi and HolaCasa. (YC companies).\n* COO prev built an LLM marketplace for Latam using micro-payments instead of subscriptions.\n* Head of design prev was founding team at Rappi, Grability, Imaginamos and Yuno.\n* Head of branding prev built an ultra-premium hand-crafted agave spirit brand.\n* Head of Web3 prev built an on-chain grocery delivery app for Colombia.\n* Head of engineering prev was tech lead at Venmo app development. (+Built a B2B payment startup in Mex).\n* Head of Content prev developed Ualá and Mercado Libre marketing strategy.\n\nKontigo is:\n\n* Already backed by DST Global, Soma Capital, Pioneer Fund, Transpose, HF0, Founders, Inc. Orange DAO, Optimism. +10 YC Alum.\n* Profitable.\n* \\+2 year runway.\n\nWe are gonna make it because we have done it before.\n\nBut this time, we're aiming for the moonshot.\n\nHelp us unlock universal wealth :)\n\nAsk:\n\n* Have a Latino friend? Share the [app](https://www.kontigo.lat/) with friends who need it.\n* Do you know any business, startup, or company that makes cross-border payments or needs a product like ours? Connect us! Contact at [founders@kontigo.lat](mailto:founders@kontigo.lat)\n\n**Stable Currency, Global Access.**",
        "url": "https://www.ycombinator.com/launches/Lli-kontigo-a-usdc-smart-neobank-for-latinos",
        "votes": 40,
        "created_at": "2024-09-02T18:38:23.510Z"
      }
    ]
  },
  {
    "id": 29824,
    "name": "Assembly HOA",
    "slug": "assembly-hoa",
    "former_names": [
      "Assembly Technologies Inc."
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    "website": "https://assemblyhoa.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Assembly is an AI-native HOA management company on a mission to fix homeowner associations. Traditional HOA management is often reactive, confusing, and inefficient. Assembly takes a different approach by combining professional expertise with intelligent software to make communities run smoothly and decisions easier.\r\n\r\nWe exist to build trust, create transparency, and ensure well-run communities that protect and enhance property values.\r\n\r\nAssembly simplifies day-to-day operations, automates routine tasks, and delivers the right knowledge at the right time. Our platform gives boards and homeowners clarity to make smarter, more confident decisions. \r\n\r\nWe manage HOAs in San Francisco Bay Area and Greater Los Angeles. ",
    "one_liner": "AI-native HOA Management Company",
    "team_size": 12,
    "industry": "Real Estate and Construction",
    "subindustry": "Real Estate and Construction -> Housing and Real Estate",
    "launched_at": 1720464041,
    "tags": [
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      "Proptech",
      "AI"
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    "country": "US",
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    "founders": [
      {
        "user_id": 383321,
        "full_name": "Allen Liou",
        "title": "Founder",
        "founder_bio": "Allen has a background in real estate and startups. He worked as a real estate agent for several years, managing client relationships and transactions. In startups, he specialized in customer success and implementation, focusing on improving client experiences and efficiency.\n\nGrowing up in a townhome community, Allen has firsthand insight into HOA governance challenges and opportunities. This perspective, combined with his expertise, drives his passion for creating innovative HOA management.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/allenliou1",
        "x_url": "https://twitter.com/allenliou_",
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      {
        "user_id": 279288,
        "full_name": "Shreyas Bharadwaj",
        "title": "Founder",
        "founder_bio": "Shreyas has a strong background in AI/ML, having worked as a data scientist at startups and most recently at the RAND Corporation, where he developed experimental ML products for the DoD.\n\nHis journey with HOAs began with his own condo ownership, where encountering massive inefficiencies in community operations led him to join the HOA board. At Assembly, Shreyas leverages his technical expertise and passion for safeguarding homeowners' investments to build the next-generation of HOA management.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/shreyas-assembly",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c10e44e5bedc8e30346a2fa04931f64b404ce67b.jpg"
      }
    ],
    "jobs": [
      {
        "id": 67836,
        "title": "Senior Community Association (HOA) Manager",
        "url": "https://www.ycombinator.com/companies/assembly-hoa/jobs/zfZd80w-senior-community-association-hoa-manager",
        "location": "Glendale, CA, US",
        "type": "Full-time",
        "role": "Operations",
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        "url": "https://www.ycombinator.com/companies/assembly-hoa/jobs/enznpU7-founding-engineer-full-stack",
        "location": "Los Angeles, CA, US",
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      {
        "id": 82995,
        "title": "🏘️ Assembly HOA: Modern tech-enabled HOA management",
        "tagline": "Your HOA probably sucks. We can help.",
        "body": "TL;DR; [Assembly](https://assemblyhoa.com/) provides tech-enabled HOA management for your community and [Atlas](https://atlas.assemblyhoa.com/sign-in), a free AI-copilot to help you navigate your HOA.\n\n[Allen](https://www.linkedin.com/in/allenliou1/) and [Shreyas](https://www.linkedin.com/in/shreyas-assembly/) here from Assembly!\n\nWe started Assembly because we were fed up with slow, inefficient, and costly HOAs that often make homeowners feel like renters, powerless against poor management. What’s the point of homeownership if you feel this way?\n\nAssembly leverages the latest in fintech and AI to automate HOA operations and provide real-time information to homeowners. Our cutting-edge software, combined with top-tier HOA managers, ensures that your most valuable asset is protected while delivering a modern, transparent experience you’d expect in 2024.\n\n![uploaded image](/media/?type=post&id=82995&key=user_uploads/383321/c99c2211-0986-4274-a34b-2471debedbf8)\n\nWe’re live with 26 communities across Greater Los Angeles and SF Bay Area and a [4\\.9 star rating on Google.](https://g.co/kgs/kYqnUpb)\n\n**Ask:** If you or anyone you know is an HOA board member or a homeowner struggling with their HOA, we’d love to bring your HOA over to Assembly! Please reach out to us at 213 282 8809 or [allen@assemblyhoa.com](mailto:allen@assemblyhoa.com) to learn how we can help or book time directly: <https://calendly.com/allenliouhoa/chat>\n\n### But wait, there’s more!\n\nTo help any homeowner faster than waiting for the HOA to switch HOA management companies, we’re launching Assembly Atlas, your free AI HOA copilot to help you navigate your HOA. \n\n![uploaded image](/media/?type=post&id=82995&key=user_uploads/383321/e676505c-c487-4d70-8596-8ee0566e2745)\n\nAtlas reads through your HOA’s governing documents (CC&Rs, Bylaws, and Rules & Regs) and generates simple cards to help you get clarity about what you can and can’t do in your community. You can also ask Atlas directly if you have other questions or want to go into more detail.\n\n![uploaded image](/media/?type=post&id=82995&key=user_uploads/383321/c5a6eee8-f635-45b6-b8d4-9d1428fec34f)\n\n**Ask:** Try or share Atlas with any homeowners you know: <https://atlas.assemblyhoa.com/> and let us know your thoughts ([founders@assemblyhoa.com](mailto:founders@assemblyhoa.com)). ",
        "url": "https://www.ycombinator.com/launches/Lad-assembly-hoa-modern-tech-enabled-hoa-management",
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        "created_at": "2024-08-13T18:05:16.137Z"
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    "long_description": "We are on a mission to provide faster and affordable access to the justice system - starting with depositions and trials.\r\n\r\n1000s of depositions and trials run through DraftTheRecord every week including Senate and House meetings, Confidential federal hearings, criminal proceedings like murder trials, and civil lawsuits involving family disputes, personal injury and much more.\r\n\r\nDuring legal proceedings,\r\n• DraftTheRecord provides real time assistance to attorneys, previously requiring a legal team. The platform then helps analyze depositions and other evidence cutting down trial prep time from weeks to days. \r\n• Court reporters use DraftTheRecord to capture audio and generate live transcript drafts for attorneys and judges. \r\n• Transcribers use our legal-specific AI transcription model to cut transcription time by 3x.",
    "one_liner": "AI For Litigation",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Legal",
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        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/adnan-sherif-as/",
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        "full_name": "Yash Ramchandani",
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      {
        "id": 83816,
        "title": "Focus Buddy - AI productivity coach to get more work done",
        "tagline": "The AI you speak to 3-4 hours every day to help you think clearly, avoid distractions and be held accountable",
        "body": "### **TLDR**\n\n_FocusBuddy is an AI productivity coach that sits in the background on your computer and speaks to you while you work to help you think clearly, avoid distractions and hold you accountable. Our users converse with the AI over a phone call for 3-4 hours everyday while they’re working_.\n\n### **The Cost of ADHD** \n\nWe’re starting by focusing on people that struggle with ADHD\n\n**People with ADHD consider it the BIGGEST blocker in their life and the PRIMARY cause of their poor grades, missing promotions, and getting fired.**\n\n* 17 million adults and children in the US\n* 2-4 more hours wasted every day compared to peers\n\nBeyond ADHD, there are 80 Million people knowledge workers in high income countries that struggle with workplace productivity that FocusBuddy will serve\n\n### **How Focus Buddy helps our user Jeff**\n\nJeff is a brilliant product engineer who has ADHD. He often struggles to complete work due to his tendency to hyper-focus on details and get distracted by sudden impulses. Here is what Jeff's new workflow looks like since he started using FocusBuddy: \n\nJeff calls Focus Buddy first thing in the morning after breakfast. They go over his to-do list together and create a schedule for his day. Jeff then begins his first task - writing a draft PRD. He explains his approach to FocusBuddy and asks for frequent check-ins to keep him on track. \n\nAn hour into drafting, Jeff notices a small discrepancy in a user activity chart. His ADHD brain latches onto this detail, and he spends the next 30 minutes hyper-focusing on it, losing sight of the bigger picture. Just then, FocusBuddy speaks up: \"How's it going?\" Jeff explains: \"He is still figuring out the details on the chart\" FocusBuddy detects that Jeff has been hyper-focusing on a detail and helps Jeff realize that he is falling behind on schedule with more important parts of the PRD.\n\nFocus Buddy then works with Jeff to wrap up work on the chart discrepancy and reorganize his schedule to come back to the chart later in the day. They then do a 5-minute meditation to shift his focus away from the discrepancy and ease his mind back onto the main task. At the end of the day, FocusBuddy helps Jeff perform a daily reflection and prepare for his day tomorrow.\n\nJeff and our other users experience multiple types of interventions by Focus Buddy every single day and attribute their new-found productivity to it.\n\n### **Why Focus Buddy works**\n\nToday, people with ADHD spend hours every day virtually co-working on apps like Focusmate, updating to-do lists, using meditation apps like Calm, and journaling with little success. It is extremely hard to keep these apps updated, they have very little context about you and are unable to proactively provide timely support when needed. \n\nFocus Buddy is deeply integrated, is seamless to interact with, builds a lot of context over time and is able to leverage this context at critical moments to provide the necessary support.\n\nOn top of that, our voice AI infrastructure is revolutionising the way humans and AI interact. we're crafting an entirely new paradigm for fluid, natural conversations that feel as intuitive as talking to another person. Here are some examples:\n\n[**Multimodal Voice + Text Conversation**](https://youtu.be/d4FpwMfz_Ow)\n\n[**Proactive AI Initiated Check-ins**](https://youtu.be/XOgYMysjZ10)\n\n### **Our Team**\n\n![uploaded image](/media/?type=post&id=83816&key=user_uploads/650126/d303db31-ba55-407a-a001-09b86bbe9aa3)\n\n[Adnan](https://www.linkedin.com/in/adnan-sherif-as/) and [Yash](https://www.linkedin.com/in/yashmr/) have been best friends for over a decade, roommates for the last two years, and worked on the Google Pixel team as a Product Manager and ML Engineer. Yash led product and safety for Generative AI apps on the latest Pixel phone, while Adnan worked on training and deploying low-latency, resource-constrained, fully on-device Gemini models used by these apps.\n\nAdnan is a national triple jump champion, and prior to Google, he conducted AI research at UC Berkeley’s SkyLab with Ion Stoica (co-founder of Databricks), focusing on scaling graph machine learning to problems with millions of nodes. Yash has worked at startups like Kalshi and Relay, helping them from pre-launch to launch.\n\nAdnan learned to manage the ADHD symptoms he faced throughout high school and college and went on to help others cope with the same condition.\n\n# **Our Asks**\n\nReach out to us at [founders@focusbuddy.ai](mailto:founders@focusbuddy.ai) to learn more and sign up on our website to try us out and give us feedback. If you know anyone with ADHD, feel free to send them our way\n\nContact:  [founders@focusbuddy.ai](mailto:founders@focusbuddy.ai)  | Website: <https://www.focusbuddy.ai/?ref=yc>",
        "url": "https://www.ycombinator.com/launches/Lns-focus-buddy-ai-productivity-coach-to-get-more-work-done",
        "votes": 346,
        "created_at": "2024-09-06T17:41:22.363Z"
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    "one_liner": "AI for Field Service Enterprises",
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    "launched_at": 1724803143,
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        "full_name": "Kamal Nahas",
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        "full_name": "Anthony Rassi",
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        "salary_range": "$140K - $240K",
        "equity_range": "0.50% - 1.50%",
        "experience": "Any (new grads ok)",
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      {
        "id": 83836,
        "title": "pap! — Automatic refunds for consumers",
        "tagline": "We automate refunds for consumers when they shop, fly, travel, subscribe… and live.",
        "body": "**TLDR:** Every year, consumers miss out on more than **$50B** because they are not claiming the money they are entitled to. We built AI agents that claim it for them.\n\n![uploaded image](/media/?type=post&id=83836&key=user_uploads/1984796/7093e028-b7ff-4ac4-9942-f98c49b9d002)\n\n# The Problem 🚩\n\nWhen stuff you’ve already bought goes on sale or when flights you’ve booked are delayed, policies entitle you to money. But spotting these opportunities and claiming the cash you’re owed is time-consuming and confusing. Industries subject to such policies include retail, airlines, hotels, technology, and even the government.\n\n# Our Solution 💸\n\nWe're building AI that connects to your email inbox to: scan your e-receipts, identify opportunities to get you dollars, and automatically claim them by contacting customer service via email, phone, forms, or chat.\n\nWe started by automating refunds in the shopping industry and have secured $6,650, growing **233% MoM**. With AI, we've been able to generalize that same automation to tackle refunds in the flight industry and the class-action lawsuit landscape. That’s when we understood why this had never been done before…\n\n# Why now? 🚨\n\nAI enables us, for the first time, to automatically:\n\n1. **Reason about unstructured data at scale**\n2. **Handle complex, nuanced customer service interactions**\n\n \n\nGeneralizing securing refunds from one industry to all industries turns each step of the process into an unstructured data processing problem. For example, having a parser that can only understand Cotsco receipts and a scraper that can only read the price from the Costco website is not enough anymore: you need a parser that can understand changing receipts from all enterprises and a scraper that can read information from any website. The ability to reason about unstructured data at scale replaces the rigid, static software, solving the issue.\n\n### In short, PAP! represents an opportunity to finally realize the dream customer journey — sign up once, forget we exist, and earn money effortlessly.\n\n# Our Team 👨‍👨‍👦\n\n* [Weijie](https://www.linkedin.com/in/wjwang2/) (CTO) spent 6 years in e-commerce and was the lead infra engineer for Wish’s recommendation system, the product that fueled their IPO. He was a Senior SWE at Bolt and StackAdapt. He graduated from Waterloo & UIUC.\n* [Kamal](https://www.linkedin.com/in/kamal-nahas/) (CEO) earned a B.S. in Electrical Engineering and Computer Sciences from UC Berkeley, worked at Apple as a Security/ML software engineer intern, and met hundreds of engineers while working at Human Capital. He grew up in Lebanon, where he led operations resulting in 230+ families fed for an entire month and 25+ civilians housed.\n* [Anthony](https://www.linkedin.com/in/anthonyrassi/) (COO) graduated from USC in Computer Engineering and Computer Sciences and worked at Addepar as a software engineer intern. He also grew up in Lebanon, where he won a national hackathon, built a 5-figure affiliate marketing business, and led an engineering team at the country’s largest retailer.\n\n# Our Ask 🙏\n\n1. Sign up at [joinpap.com](http://joinpap.com) (_bonus_: share your feedback with us at [founders@joinpap.com](https://mailto:founders@joinpap.com)).\n2. **Share this post and tell your friends about it!** Everyone deserves to earn the money they are entitled to.",
        "url": "https://www.ycombinator.com/launches/LoC-pap-automatic-refunds-for-consumers",
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    "website": "https://blaze.money",
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    "long_description": "Blaze (YC S24) is the agentic finance platform. For businesses it's an AI CFO that pays bills, invoices clients, and forecasts cash. For people it's an agent that sends money, converts currencies, and manages your finances globally: you set the rules, it handles the rest. \r\n\r\nOther AI finance tools just report. Blaze moves the money, on your approval, in stablecoins or straight through the banking system. The founders scaled their last startup to $1M in ARR, studied at Duke, NYU, and Cornell, and led teams at Spotify and Artsy. npx @blaze-money/cli · https://blaze.money",
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    "industry": "Fintech",
    "subindustry": "Fintech -> Payments",
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    "status": "Active",
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    "founders": [
      {
        "user_id": 1447220,
        "full_name": "Faiyam Rahman",
        "title": "Founder/CEO",
        "founder_bio": "Faiyam is a full-stack engineer with a bachelors in mathematics from Duke and a masters of engineering from Cornell Tech. He is now the cofounder and CEO of Blaze Payments. \n\nHe is an avid traveler, most recently having completed a 6 month tour of India, Bangladesh, Nepal, Bali and Portugal. He is also an avid practitioner of yoga and meditation, and he enjoys long walks, the spoken word, and celebrating the joy of being alive.",
        "is_active": true,
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        "full_name": "Luc Succès",
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        "founder_bio": "Luc is a 2 time VC backed founder. His first startup, Often, launched a keyboard app that enabled you to text your friends with Drake lyrics. Upon launch, Often blew up to #1 on the App Store and got over 400k downloads. He scaled his second startup Seasons, a rental service for high end menswear to $1mm in ARR.\n\nLuc is a seasoned tech leader, having led teams at Artsy & Spotify. He is also an avid traveler, having lived and worked in over 50 countries worldwide.",
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        "location": "Remote (US)",
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      {
        "id": 108616,
        "title": "Blaze - AI CFO for Businesses",
        "tagline": "An AI CFO that pays your bills, collects your invoices, and forecasts your cash.",
        "body": "**TL;DR:** Blaze is an agent that runs the entire finance function for your business: pay bills, accept payments, forecast your cash flow, and keep your books current. Install it with **npx @blaze-money/cli**. Use it with your favorite agentic harness or at blaze.money/agentic-finance. ChatGPT, Claude apps, and OpenClaw plugin coming soon.\\\n\\\nOur launch video: <https://www.youtube.com/watch?v=ulOQ2cVK9Ds>\n\n## ❌ The problem\n\nYou're a lean team busy doing more than you can handle already, and finances feel like a perpetual weight on your shoulders. You know there are bills to pay, invoices to collect on, questions you want answered. But a real finance team costs $10,000 to $20,000 a month, and you could always \"do it yourself,\" so the problem goes on dangling, half solved, half annoyance, always taking up RAM.\n\nWhat ends up happening is bills get paid late, you spend money on some $300/month marketing software your interns bought months ago without you knowing, and real problems with your vendors, payroll, and runway sneak up on you at 2am on Sunday.\n\nWe've lived this personally. As a 3 year old, super lean fintech team running all our own finances, we know what it's like trying to keep the finances afloat while doing everything else it takes to make it big. It's not like the work is rocket science. It's just constant, manual, nagging, and spread across 18 different tools that need sense making.\n\nUntil recently, you had to pay $10,000 a month to hire a finance function. We'd like to change that.\n\n## 🛠 What we built\n\n![uploaded image](/media/?type=post&id=108616&key=user_uploads/85958/4ef6fa06-6115-4df5-bacf-cc481a437e15)\n\n\\\nChat with Blaze from your favorite agentic harness and watch it get real things done for your finances:\n\n* **Pay bills and contractors.** Tell it to pay the AWS bill and it finds the invoice, shows you the amount, and pays on your approval. \"Send Maria $3,000 for the design work\" works the same way, domestic or international.\n* **Collect payments and send invoices.** \"Send Acme a payment link for $12,500.\" Blaze creates the link, sends it, and updates you when it's paid. Draft a real invoice the same way, from a one-line request. If a client drags their feet, it follows up automatically.\n* **Forecast cash.** Connects to your bank through Plaid, finds the recurring patterns, and projects your balance so you know your runway.\n* **Handle the pre-accounting.** Categorizes transactions and matches them to the bills and invoices they belong to as they happen, so your actual accounting is easier when you get to it.\n* **Move stablecoins.** On and off-ramps USDC across 80+ currencies, with support for cards and various local payment methods around the world.\n* **Flag problems early.** Tells you about a low balance, an overdue invoice, or unusual spend before it becomes an issue.\n\nIt installs with one command:\n\n```\nnpx @blaze-money/cli\n```\n\nYou can use it anywhere you use AI agents. Our favorites are in Hermes on Telegram and on the dashboard at dashboard.blaze.money. There's a REST API and SDK if you want to connect it to your own systems.\n\n![uploaded image](/media/?type=post&id=108616&key=user_uploads/85958/492a039d-5aeb-4cab-bc85-33fe8f82f1c0)\n\n## 🙏 Ask\n\nIf you are, or you know, any of the following, we'd love to hear from you.\n\n**Founders running lean**\n\nYou're doing your own bills, invoicing, and cash flow because a real finance team costs $10,000 to $20,000 a month. Try it and tell us what breaks: **npx @blaze-money/cli** or <https://blaze.money/agentic-finance>.\n\n**Early customers**\n\nWe're onboarding our first businesses now, and want people who'll help us decide what the agent should handle next. Especially focused on handyman and trades businesses (HVAC, repair, remodeling) and property managers, especially in the Airbnb space.\n\n**Anyone with an intro**\n\nTo founders and small teams who'd rather not open their bank again. You can reach us at [founders@blaze.money](mailto:founders@blaze.money).\n\n## 👥 Team\n\nFaiyam is a full-stack engineer who dropped out of med school to build startups instead. As a founding engineer at Luc's previous startup, he helped it scale to $1m in ARR. He manages finances for Blaze, and is personally relieved he no longer needs to stay up on Sunday nights to do so.\n\nLuc is a two-time founder. His first startup hit #1 on the App Store. Before that, he was a tech lead at Spotify and Artsy. Luc built Blaze's cross-border payment rails after living the problem firsthand, moving money in and out of Latin America.\n\nFun fact: Luc and Faiyam met after Faiyam \"coincidentally\" sat down next to him at a coffee shop in Williamsburg, New York, seven years ago. The rest is history (in the making).",
        "url": "https://www.ycombinator.com/launches/SFs-blaze-ai-cfo-for-businesses",
        "votes": 29,
        "created_at": "2026-07-31T17:08:14.398Z"
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        "id": 83613,
        "title": "Blaze - Global Venmo for cross border payments",
        "tagline": "Pay anyone, anywhere, seamlessly.",
        "body": "**TL;DR**: Blaze is building a global Venmo for cross-border payments. For example, if you're a Californian nomad living in Mexico City, you can use Blaze to pay rent to your local landlord. Or if you're an expat living in Colombia, you can use Blaze to pay your teacher for Spanish classes. Check [us out](https://blaze.money/app-download) on iOS and Android!\\\n\\\nA [quick intro](https://www.youtube.com/watch?v=50MMF87m3ZM) for you:\n\nA little over a year ago, we found ourselves traveling all over the world. Luc was spending time between Mexico, Colombia, and other parts of South America, while Faiyam was nomad-ing around Asia. Everywhere we went, it was a pain to transact with our new friends from other countries. We found ourselves wanting a Venmo like experience that worked for our international lives.\n\nSo we decided to build it. Blaze is the payments app we wanted for our own lives, and if you have a lot of international contacts, perhaps it is for you too.\n\n![uploaded image](/media/?type=post&id=83613&key=user_uploads/1447220/01f1684f-81c7-44be-8d51-3ae79733e27c)\n\n_from left to right:_\n\n💻 [Luc](https://www.linkedin.com/in/lucsucces) studied engineering at NYU before going on to start 2 VC-backed startups, one of which went to #1 on the app store and got him sued by Drake (true story). He’s also been a tech lead at Spotify and Artsy, and has lived and worked in over 50 countries worldwide.\n\n🧘‍♂️ [Faiyam](https://linkedin.com/in/faiyam-rahman) studied mathematics at Duke, then engineering at Cornell before going on to build a $1M ARR business with Luc at his 2nd startup. He’s also an avid practitioner of yoga and meditation.\n\n🧑‍🎨 [Igor](https://linkedin.com/in/zagnienski) is a former lead designer at BitPanda, Austria’s first unicorn. Prior to that, he spent his time jumping out of planes and running Space Individuals, one of Europe’s leading platforms to find jobs in Space.\n\n# 📱 **App Preview**\n\n![uploaded image](/media/?type=post&id=83613&key=user_uploads/1447220/71549726-5f93-469a-bf32-6f2ec6d5c94d)\n\n# **🙏 Asks**\n\n* Help us beta test! [Download](https://blaze.money/app-download) on iOS and Android. You can share feedback at [founders@blaze.money](mailto:founders@blaze.money).\n* **Share this post!** If you know someone with an international lifestyle who would want to use Blaze, please share this post with them.\n* **Connect us with** **businesses** in travel, hospitality, or other spaces that could use help with cross-border payments.",
        "url": "https://www.ycombinator.com/launches/Lkb-blaze-global-venmo-for-cross-border-payments",
        "votes": 34,
        "created_at": "2024-08-30T04:16:43.486Z"
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    "long_description": "Elayne is building the modern estate settlement platform. \r\n\r\nEstate settlement is a $250B+ annual market, with $80T+ in assets expected to transfer over the next 25 years. But after a death, families and executors have to spend 400+ hours manually identifying, organize, and distribute everything that was left behind like: financial accounts, debts, property, insurance, legal documents, incorporating juristidi ation requirements and family context. \r\n\r\nElayne is the first platform to surface verified assets and debts for precisely this moment, then turing our discovery into a clear inheritance map. We work directly with families and executors, and with the partners who support them: funeral homes, hospice and aftercare providers, attorneys, and financial institutions.\r\n\r\nThe company was founded by Adria, a former large-cap investor who experienced the problem firsthand, and Rebecca, a repeat fintech and mental health founder who left her master’s program in psychology at Harvard to launch Elayne. Together, they bring financial rigor, technical execution, and lived empathy to a massive but deeply human category.\r\n\r\nBacked by Y Combinator and Accel, we are now an 8-person team based in NYC.",
    "one_liner": "Estate settlement, from verified discovery to distribution",
    "team_size": 8,
    "industry": "Fintech",
    "subindustry": "Fintech",
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    "status": "Active",
    "industries": [
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      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/elayne",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/elayne.json",
    "year_founded": 2024,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/meetelayne",
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    "primary_partner": {
      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
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    "founders": [
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        "user_id": 1815430,
        "full_name": "Adria Ferrier",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder / CEO at Elayne. Former large-cap private equity investor. Wharton grad.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/adria-ferrier-8b242836/",
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      {
        "id": 109247,
        "title": "Senior Full-Stack Engineer",
        "url": "https://www.ycombinator.com/companies/elayne/jobs/fD9AZII-senior-full-stack-engineer",
        "location": "New York, NY, US",
        "type": "Full-time",
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        "salary_range": "$210K - $250K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
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          "Data Modeling"
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        "id": 109284,
        "title": "Senior Applied AI Engineer",
        "url": "https://www.ycombinator.com/companies/elayne/jobs/7AXa0LL-senior-applied-ai-engineer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$250K - $270K",
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        "experience": "6+ years",
        "visa": "US citizen/visa only",
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        "title": "Founding Operations Lead",
        "url": "https://www.ycombinator.com/companies/elayne/jobs/brdrVdJ-founding-operations-lead",
        "location": "New York, NY, US",
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        "role_type": null,
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        "experience": "3+ years",
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        "title": "Legal Product Fellow",
        "url": "https://www.ycombinator.com/companies/elayne/jobs/OFRhZk4-legal-product-fellow",
        "location": "New York, NY, US",
        "type": "Internship",
        "role": "Legal",
        "role_type": null,
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      {
        "id": 83590,
        "title": "Elayne - AI estate planner & executor for employees and their families",
        "tagline": "We give back 400 hours to grieving employees, boosting their recovery and return to work.",
        "body": "Hey everyone, we’re [Adria](https://www.linkedin.com/in/adria-ferrier-8b242836/) and [Graf](https://www.linkedin.com/in/jake-grafenstein-33737270/) - cofounders of [Elayne](https://www.elayne.com/) 👋\n\n# TL;DR\n\nImagine losing a family member. You're grieving and overwhelmed by tasks like funeral planning, managing bills, insurance, probate, and closing accounts—all while trying to process your emotions and return to work. The last thing you need is 400 hours of estate settlement tasks looming over you for the next 16-20 months, making it challenging to perform at work and nearly impossible to take care of your mental health. We solve this problem for both you and your employer.\n\n**_Ask:_** Is your HR team currently reviewing benefits for 2025? Introduce us! Email [adria@meetelayne.com](mailto:adria@meetelayne.com) or [book a demo here.](https://www.elayne.com/request-demo)\n\n# 👫 The Team\n\n![uploaded image](/media/?type=post&id=83590&key=user_uploads/89898/46a5e6de-d62f-4210-a54b-761ebd822c41)\n\n[Adria](https://www.linkedin.com/in/adria-ferrier/) (CEO) - Adria is a former private equity investor at Permira and Blackstone and experienced this problem firsthand after losing her mom. Instead of focusing on due diligence at work, she had to spend hours figuring out how to plan a funeral, manage probate, settle bills, and close hundreds of accounts. She left her job within a year of her loss, as many bereaved employees often do.\n\n[Graf](https://www.linkedin.com/in/jake-grafenstein-33737270/) (CTO) - Graf cut his teeth in fintech working for Truebill (YC W16). There, he led the core web and mobile team, managing the implementation of critical experiences such as subscriptions, transactions, and net worth.\n\n# ❌ The Problem\n\nEmployee bereavement costs US businesses $100bn each year.\n\n* **A look at the numbers**: For every 1,000 employees _annually:_\n  * **250 employees** will experience bereavement, 150 will experience a major loss\n  * **418 days** will be spent on affairs settlement by employees\n  * **$608,000** cost to business in lost productivity, absenteeism, and attrition\n* **No solutions:** there are no practical tools in the market to help HR leadership support their employees in the months following a loss\n* **Manual and time-consuming**: settling an estate takes an average of 400 hours over 18 months to complete and is currently completely manual\n\n# 🙇 Our Solution: One Platform for Family Estate Planning and Automated Settlements\n\n**Family Estate-Readiness 👪**\n\nThe estate-readiness platform provides a novel way for employees and their immediate family members to organize and optimize their estates.\n\n* **Visualizations**: Visualize your estate by uploading existing documentation and using our AI to extract information.\n* **Optimizations**: Use our AI to identify issues that could lead to problems executing the estate.\n* **Document Vault**: Upload and securely store critical documents that are needed in the event of a death.\n\n![uploaded image](/media/?type=post&id=83590&key=user_uploads/1979156/05c7fe36-9c75-460e-a1b3-4b0cff1b8fd9)\n\n**Automated Settlements 🕊️**\n\nThe post-loss platform saves employees 400 hours over 18 months by automating estate and affairs settlement after each loss.\n\n* **AI Concierge**: Chat with our AI concierge, who knows all the details about your situation and can execute tasks on your behalf.\n* **Personalized Roadmap:** Understand at a glance what you have to do, what your loved one planned ahead of time, and what the Elayne AI can do for you.\n* **Resources:** Access exclusive resources that help you understand probate and other opaque parts of the post-loss process.\n\n![uploaded image](/media/?type=post&id=83590&key=user_uploads/1979156/838b5fea-fc43-4380-b6d9-955ceaf692dd)\n\n**For HR Leaders ✨**\n\nKnowing what to say and how to support an employee experiencing a loss is hard, and navigating the death of an employee is even harder. We're here to help:\n\n* **Immediate Response**: Elayne steps in with an immediate action plan to coordinate urgent needs and communications on behalf of the employee or their family\n* **Workshops:** Explore the emotional and practical challenges that arise during the estate planning and settlement process and learn strategies to foster resilience\n* **Dashboard:** Quickly understand utilization rates, hours saved, and cost savings -for both your employees and company.\n\n# 🙏 Our Ask\n\n* Follow us on [LinkedIn](https://www.linkedin.com/company/meetelayne/), and [book a demo](https://www.elayne.com/request-demo) with our team.\n* **Share this post!** -  Do you know anyone in your network who is a CHRO, HR or benefits manager, or head of Total Rewards? Please share this post (or our promo video below!)\n* Learn more at [Elayne.com](http://Elayne.com)\n\n<https://www.youtube.com/watch?v=UH8_L0xEq9Q>",
        "url": "https://www.ycombinator.com/launches/LkE-elayne-ai-estate-planner-executor-for-employees-and-their-families",
        "votes": 213,
        "created_at": "2024-08-29T18:52:06.466Z"
      }
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    "id": 29844,
    "name": "Oway",
    "slug": "oway",
    "former_names": [
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    "website": "https://www.oway.io",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "The physical economy still operates without a common language. Enterprise systems, factories, trucks, and robots generate enormous amounts of data, but most remains fragmented across legacy software and incompatible formats. Without a shared understanding of what is happening, even the most advanced AI cannot reliably coordinate how goods are made, moved, and delivered.\r\n\r\nOway is building that common language. Our protocol, IOI, connects enterprise systems and physical hardware, cleaning messy legacy data and live telemetry into a standardized schema that AI can understand and act on. Through a shared API, businesses can query their operations, identify inefficiencies, and automate actions across systems without replacing their existing software.\r\n\r\nOur first model, Juno, applies this intelligence to unused truck capacity. It tracks empty space on trucks and sells it at a 50% discount to businesses shipping in the same direction. By moving freight directly on trucks already making the trip, Oway reduces shipping costs, damage, and transit times while generating additional revenue for carriers.\r\n\r\nEvery connected system and shipment expands our understanding of capacity, pricing, routes, facilities, and industrial operations. As this network grows, Oway is building toward a future where enterprise software, automated factories, self-driving vehicles, and robots can communicate and coordinate through one shared layer, making the physical economy programmable.",
    "one_liner": "Building the open operating system for the automated physical economy.",
    "team_size": 16,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1717601253,
    "tags": [
      "B2B",
      "API",
      "Infrastructure",
      "AI",
      "Industrial"
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    "batch": "Summer 2024",
    "status": "Active",
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    "regions": [
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      "America / Canada",
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      "Partly Remote"
    ],
    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/oway",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/oway.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/oway/",
    "x_url": "https://twitter.com/owayinc",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/oway-a533",
    "github_url": "https://github.com/Oway-Inc",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a3e196a71b4a93ad7200cf278186954bda68e7e3.png",
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    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
    },
    "founders": [
      {
        "user_id": 993914,
        "full_name": "Phillip Nadjafov",
        "title": "Founder/CEO",
        "founder_bio": "Founder of Oway, building the Internet of Industrials (IOI), a common protocol that connects industrial systems and gives AI the context to coordinate the physical economy.\n\nPreviously co-founded Isotrex, a multinational defense manufacturer, at 16. Built its supply chain and production end to end, became CEO in 2019, and scaled it to roughly $100M in annual revenue and 4,000+ vehicles built.\n\nSystems engineer and designer focused on American industrial automation.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/phillipnadjafov/",
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    "jobs": [
      {
        "id": 115283,
        "title": "Staff Engineer, IOI (Internet of Industrials)",
        "url": "https://www.ycombinator.com/companies/oway/jobs/My3AkWy-staff-engineer-ioi-internet-of-industrials",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$220K - $300K",
        "equity_range": "0.30% - 1.00%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Java",
          "TypeScript",
          "Reinforcement learning (RL)",
          "Machine learning",
          "AI Agents"
        ]
      },
      {
        "id": 115284,
        "title": "Senior Full-Stack Engineer, IOI Applications",
        "url": "https://www.ycombinator.com/companies/oway/jobs/kigce04-senior-full-stack-engineer-ioi-applications",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$185K - $250K",
        "equity_range": "0.30% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "MongoDB",
          "TypeScript",
          "AI Agents"
        ]
      },
      {
        "id": 115285,
        "title": "Forward Deployed Engineer, Enterprise",
        "url": "https://www.ycombinator.com/companies/oway/jobs/AqsthKE-forward-deployed-engineer-enterprise",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$185K - $220K",
        "equity_range": "0.30% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "TypeScript",
          "Data Warehousing",
          "Data Modeling",
          "AI Agents"
        ]
      },
      {
        "id": 115286,
        "title": "Strategic Partnerships Lead, Enterprise",
        "url": "https://www.ycombinator.com/companies/oway/jobs/bGqgrpO-strategic-partnerships-lead-enterprise",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$150K - $250K",
        "equity_range": "0.20% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115287,
        "title": "Enterprise Sales Manager, Pod Lead",
        "url": "https://www.ycombinator.com/companies/oway/jobs/dRnkn65-enterprise-sales-manager-pod-lead",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$150K - $220K",
        "equity_range": "0.30% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115288,
        "title": "Fleet Partnerships Director, IOI (Internet of Industrials)",
        "url": "https://www.ycombinator.com/companies/oway/jobs/EEzVXlb-fleet-partnerships-director-ioi-internet-of-industrials",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$150K - $220K",
        "equity_range": "0.20% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115290,
        "title": "Quantitative Researcher, IOI Index",
        "url": "https://www.ycombinator.com/companies/oway/jobs/LHEjh2d-quantitative-researcher-ioi-index",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Data science",
        "salary_range": "$220K - $320K",
        "equity_range": "0.30% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Go",
          "TypeScript",
          "Machine Learning",
          "Reinforcement learning (RL)"
        ]
      }
    ],
    "news": [
      {
        "title": "5 Founders Building the Future of Logistics, AI, and Industrial Technology - The San Francisco Tribune",
        "url": "https://thesanfranciscotribune.com/5-founders-building-the-future-of-logistics-ai-and-industrial-technology/",
        "date": "Oct 15, 2026"
      },
      {
        "title": "How Oway uses AI to fill empty trucks and cut shipping costs - FreightWaves",
        "url": "https://www.freightwaves.com/news/how-oway-uses-ai-to-fill-empty-trucks-and-cut-shipping-costs",
        "date": "Sep 30, 2025"
      },
      {
        "title": "YC-backed Oway raises $4M to build a decentralized ‘Uber for freight’ | TechCrunch",
        "url": "https://techcrunch.com/2025/08/22/yc-backed-oway-raises-4m-to-build-a-decentralized-uber-for-freight/",
        "date": "Aug 22, 2025"
      },
      {
        "title": "9 startups that stood out on YC Demo Day 2 | TechCrunch",
        "url": "https://techcrunch.com/2024/09/26/9-startups-that-stood-out-on-yc-demo-day-2/",
        "date": "Sep 26, 2024"
      }
    ],
    "launches": [
      {
        "id": 122375,
        "title": "Oway: Building the Internet of Industrials",
        "tagline": "Oway connects industrial systems through a common protocol, giving AI the context to coordinate the physical economy.",
        "body": "**TL;DR:** We’re building the Internet of Industrials (IOI), a shared context layer connecting industrial systems and giving AI a common basis of structured data across companies. IOI already powers Oway, where our first model, Juno, uses it to coordinate shipments through unused truck capacity. We’re opening that same foundation to robotics, automated factories and other industrial systems to accelerate US industrial automation.\n\n![](/media/?type=post&id=122375&key=user_uploads/993914/9346b6ba-f710-49c9-9ecb-72882cc13bca)\n\n**An example:** A factory asks its AI for eight units of mild steel by tomorrow morning. Through IOI, the AI coordinates production with a connected certified supplier and books a connected truck for delivery. All three systems share the context needed to execute and track the order.\n\n### The problem\n\nAmerica is building new factories, deploying automation, and developing autonomous vehicles. But the systems connecting industrial operations still speak different languages.\n\nInventory, capacity, equipment, orders, and operating constraints are scattered across ERP systems, TMSs, warehouses, carriers, sensors, and closed systems. That fragmentation extends across the companies that need to work together. AI cannot reliably coordinate physical work without understanding what exists, what is available, and what each system can do.\n\nProductive capacity goes unused while businesses pay more to make, store, and move goods.\n\n### Introducing IOI\n\nWe built IOI as the backend that runs Oway. It already connects every Oway customer and carrier. We’re now making it available to other businesses as a common structured context layer.\n\nOur thesis is that logistics provides the foundational language for an industrial network. Nearly every physical business can be described through a common set of primitives: **what exists, where it is, where it needs to go, available capacity, time, cost, constraints, storage, and transformation.**\n\nIOI translates those states into structured data that enterprise software, physical hardware and AI agents can share across company boundaries. Businesses can build nodes alongside their existing systems instead of replacing them. \n\nSetting up an IOI node is extremely simple, our default setup allows you to simply plug Oway in as a “carrier” into your stack that monitors and optimizes your supply chain quotes and orders - automatically gaining the context to build a full IOI data lake for you that already has action capabilities and can infer your inventory levels and SKU-level performance. Data can then automatically be fed back to SAP, Oracle Netsuite, or any data system / AI agent you’d like.\n\n![uploaded image](/media/?type=post&id=122375&key=user_uploads/993914/c9f841f6-3976-429b-9f25-81e63bc0c113)\n\nIOI will be open source soon, with Oway maintaining the standard so developers can build compatible systems. It is designed around widely adopted enterprise security practices, with each business controlling its data, access permissions and authorized actions. Nodes can run in enterprise clouds or at the edge.\n\n**Below: Ask IOI anything -** Each Oway enterprise customer also gets search functionality out of the box. \n\n![](/media/?type=post&id=122375&key=user_uploads/993914/07bea764-9c83-47a6-8c71-97f5130d28b5)\n\n### Our first model: Juno\n\nJuno is our first AI model. It reasons over IOI to price, coordinate and execute pooled shipments on trucks already traveling the route.\n\nBy ridesharing shipments into capacity already moving, we lower costs, shorten transit times and reduce damage from handling. Carriers earn from their existing capacity, with legal paperwork, insurance and DOT compliance all automatically monitored and handled.\n\n**Below: Juno in Oway OS.** A full API, MCP and EDI-compatible suite that enables businesses to leverage Juno’s rideshare capabilities however they’d like for freight shipping.\n\n![](/media/?type=post&id=122375&key=user_uploads/993914/f2a8e9b3-a635-4c69-b9a8-4c5d3f8eb1f7)\n\nWe estimate this is a **$200B+ annual optimization opportunity within America’s roughly $1T trucking industry**.\n\nWith Oway Rideshare, we deliver average savings of 30% per transaction, while also reducing damage rates, and transit times as well for cross-country shipments.\n\nFreight gives IOI an operating environment where its primitives have to produce real physical outcomes.\n\n### Where we’re going\n\nEvery connected system and shipment adds context about capacity, pricing, routes, facilities, and industrial operations.\n\nThat shared context gives robotics companies, automated factories and self-driving trucks a way to communicate and coordinate across companies. Every company on Oway, and even Oway’s model - are already running on IOI. We believe that providing these capabilities at a national level will lead to significant improvements to the GDP and global competitiveness of US-made products.\n\nOway + IOI already serves Fortune 500 companies, connects over 10,000 vehicles nationwide, and indexes hundreds of millions of dollars in annualized shipping demand.\n\nIf you’re working at a company that makes, stores, or moves physical goods, [we’d love to show you what we’re building](https://www.shipoway.com).",
        "url": "https://www.ycombinator.com/launches/Vpn-oway-building-the-internet-of-industrials",
        "votes": 23,
        "created_at": "2026-10-15T15:50:53.501Z"
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  },
  {
    "id": 29847,
    "name": "Bucket Robotics",
    "slug": "bucket-robotics",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/55cc697d9f14eca5a5d45772ac14d97a83df16ae.png",
    "website": "https://bucket.bot",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Bucket Robotics builds deployable computer vision systems for manufacturing — without labeling, long pilots, or fragile rules.\r\nWe turn CAD and sample data into production-ready vision models that run on existing cameras and edge hardware. No manual labeling. No cold-start problem. Models deploy in minutes and adapt as parts, defects, and lines change.\r\n\r\nOur roots are in self-driving cars (Argo AI, Uber ATG, Stack AV), where we learned how to ship perception systems that operators trust in messy, real-world environments. We’re applying that playbook to factories: robust sensing, fast iteration, and tooling engineers actually enjoy using.\r\n\r\nManufacturers struggle with inspection because parts are too variable for rules-based vision and too expensive to inspect by hand. Legacy systems are rigid, hardware-locked, and slow to customize. We take the opposite approach: software-first vision that fits into existing automation and scales across SKUs, facilities, and workflows.\r\n\r\nAmerican Manufacturing is in the middle of a $700B automation push — but quality is still a trust problem. Bucket Robotics is building the vision infrastructure that lets factories automate inspection with confidence.",
    "one_liner": "Defect detection for manufacturing built from CAD and synthetic data.",
    "team_size": 8,
    "industry": "Industrials",
    "subindustry": "Industrials -> Manufacturing and Robotics",
    "launched_at": 1719001491,
    "tags": [
      "Robotic Process Automation",
      "Robotics",
      "Computer Vision",
      "Manufacturing"
    ],
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    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Active",
    "industries": [
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      "Manufacturing and Robotics"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
    "question_answers": [
      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "If we succeed, quality inspection stops being a human bottleneck. Manufacturing quality becomes software—deployed from CAD, scaled instantly across factories, and verified automatically. The world builds complex physical products faster, with less waste, and with machine-verifiable trust."
      }
    ],
    "url": "https://www.ycombinator.com/companies/bucket-robotics",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/bucket-robotics.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/bucketrobotics/",
    "x_url": "https://x.com/BucketRobotics",
    "fb_url": "https://www.facebook.com/profile.php?id=61578008815737",
    "cb_url": null,
    "github_url": "https://github.com/bucket-robotics",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/55cc697d9f14eca5a5d45772ac14d97a83df16ae.png",
    "app_video_url": null,
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    "company_photos": [
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    ],
    "primary_partner": {
      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
    },
    "founders": [
      {
        "user_id": 1918803,
        "full_name": "Matt Puchalski",
        "title": "Founder/CEO",
        "founder_bio": "Matt is the co-founder and CEO of Bucket Robotics, building CAD-driven computer vision for manufacturing inspection and assembly verification. Previously, he worked on autonomous vehicle integration and deployment at Argo AI, Latitude AI, and Stack AV, helping bring self-driving vehicles onto public roads in the United States and Germany.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/matt-puchalski",
        "x_url": "https://x.com/lasermatts",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/96e15f894eb00281539dee8a84cf516b581aac67.jpg"
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    ],
    "jobs": [
      {
        "id": 73634,
        "title": "ML Engineer",
        "url": "https://www.ycombinator.com/companies/bucket-robotics/jobs/wamcLUR-ml-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$120K - $165K",
        "equity_range": "0.70% - 2.80%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "ML",
          "Python",
          "Machine Learning",
          "CUDA"
        ]
      },
      {
        "id": 95125,
        "title": "Senior Full Stack Engineer",
        "url": "https://www.ycombinator.com/companies/bucket-robotics/jobs/6pT0gS3-senior-full-stack-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$160K - $220K",
        "equity_range": "1.00% - 3.00%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Data Modeling"
        ]
      },
      {
        "id": 95797,
        "title": "Forward Deploy Engineer",
        "url": "https://www.ycombinator.com/companies/bucket-robotics/jobs/va6hXZz-forward-deploy-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Robotics",
        "salary_range": "$100K - $120K",
        "equity_range": "0.25% - 1.20%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Python"
        ]
      }
    ],
    "news": [
      {
        "title": "Synthetic Data Comes of Age: How Bucket Robotics is Changing the Economics of Machine Vision - MVPro Media",
        "url": "https://mvpromedia.com/synthetic-data-comes-of-age-how-bucket-robotics-is-changing-the-economics-of-machine-vision/",
        "date": "Jul 21, 2026"
      },
      {
        "title": "How YC-backed Bucket Robotics survived its first CES | TechCrunch",
        "url": "https://techcrunch.com/2026/01/18/how-yc-backed-bucket-robotics-survived-its-first-ces/",
        "date": "Jan 18, 2026"
      }
    ],
    "launches": [
      {
        "id": 82809,
        "title": "Bucket Robotics 🤖 Vision for Manufacturing",
        "tagline": "Go from CAD model to defect detection system in the blink of an eye.",
        "body": "# ☕ **_TL;DR_**\n\n[_Bucket Robotics_](https://bucket.bot) makes defect detection models way faster and easier to deploy. CAD goes in — detection model comes out.\n\n![uploaded image](/media/?type=post&id=82809&key=user_uploads/1918803/d49ec265-a7cd-4a9c-ad32-62b45df8c825)\n\n# **👥** **The Team**\n\n### Hi everyone, we’re [Matt](https://www.linkedin.com/in/matt-puchalski/) and [Steph](https://www.linkedin.com/in/stephan-wolski/), and we’re Bucket Robotics!\n\n![uploaded image](/media/?type=post&id=82809&key=user_uploads/1918803/a2825a9a-9dd1-4c95-8aa4-46ba2826efae)\n\n# **📉 The Problem**\n\nDefects are a universal challenge in manufacturing, particularly with methods like injection molding, die casting, and 3D printing. Factories using these methods frequently retool their lines for different products making it difficult and costly to gather enough data to train defect detection models.\n\nManufacturers strive to ensure that only the highest quality products reach their customers. Avoiding the shipment of defective products not only protects their reputation but also safeguards expensive machinery from damage, maximizes yield by leveraging advanced analytics, and prevents the progression of faulty parts through the production line, which can lead to compounded waste and increased costs.\n\nA 2017 study estimates that [yield losses account for 44% of sheet metal used](https://www.sciencedirect.com/science/article/abs/pii/S092401361730211X) in the production of passenger vehicles — and we want to bring that number down, saving money and the environment.\n\nTraditionally, defect detection comes in two flavors:\n\n1. Pay a person to watch your line.\n2. Train a vision model the old-fashioned way — wait for defective parts to come out and add your sample to the dataset.\n\nPaying people to check parts is inefficient and a miserable job. Collecting enough labeled data samples to train a model is impractical for rapidly retooled outputs, and the labeling is expensive. This often leaves manufacturers with a critical gap in quality assurance, leading to increased scrap, downtime, and potentially unhappy customers with defective parts.\n\n## **📈 The Solution**\n\nWe help eliminate the need for inefficient human monitoring and outdated defect detection by providing a system where we generate defect detection models using CAD files—something every part designed for modern manufacturing has. Our models can run on an edge computing device as small as a Jetson Orin Nano and be continually refined with real-world data.\n\n### **_Here’s why this is a game-changer:_**\n\n* **Early Deployment:** Your defect detector can arrive at your manufacturing line before you’ve manufactured any parts. This means you can catch defects right from the get-go.\n* **Continuous Improvement:** As defects start to appear, we can automatically refine and improve the model, ensuring your system remains top-notch.\n* **Classification**: The system tells you how the part is defective, allowing you to dial in your tooling configuration and maintenance cycle—e.g. when it's time to create a new mold.\n\nCheck out a video on our process here: [Bucket Robotics | Defect Detection](https://youtu.be/U_bJxaH_U9U)\n\n# **🙏How You Can Help**\n\nWe are seeking connections and collaborations to drive our mission forward. If you or anyone in your network is interested in learning more or helping out, we want to hear from you! We’re specifically looking to connect with:\n\n* Quality Assurance and Factory Automation leaders\n* Companies and brands in high-volume and precision manufacturing\n* Experts in the manufacturing and defect detection industries\n\nIf that’s you or someone you know, [please get in touch!](https://bucket.bot)",
        "url": "https://www.ycombinator.com/launches/LXd-bucket-robotics-vision-for-manufacturing",
        "votes": 77,
        "created_at": "2024-08-07T05:00:27.470Z"
      }
    ]
  },
  {
    "id": 29849,
    "name": "Usul",
    "slug": "usul",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c8d8b925d8f0cf032fa4b23d43274bb49fceacaa.png",
    "website": "https://www.usul.com",
    "all_locations": "San Francisco, CA, USA",
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        "location": "San Francisco Office",
        "type": "Full-time",
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        "role_type": "Web design",
        "salary_range": "$140K - $175K",
        "equity_range": "0.05% - 0.20%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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        "url": "https://www.ycombinator.com/companies/usul/jobs/pCAJKgr-technical-staff-forward-deployed-engineer",
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        "date": "Feb 08, 2026"
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        "title": "Usul X Palantir: Rethinking Government Contracting",
        "url": "https://www.youtube.com/watch?v=AHy-o-T9suw",
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        "url": "https://www.tectonicdefense.com/exclusive-usul-raises-3-3m-to-help-companies-win-defense-contracts/?utm_source=yc",
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        "id": 85526,
        "title": "Usul - PitchBook for Government 🇺🇸",
        "tagline": "AI-assistant to win government contracts.",
        "body": "### **TLDR:**\n\n[Usul](https://www.usul.com/) is building PitchBook for Government, starting with the Department of Defense. They use AI to size defense markets, map decision-makers, and identify relevant opportunities—all in one place.\n\n### **Problem:**\n\nThe DoD is the largest buyer in the world, however, turning federal budgets into contracts is notoriously difficult. YC recently requested startups interested in tackling government software, acknowledging that selling to the government is a daunting task few builders would approach on their own. Only a couple of startups have successfully broken into the government market, with some requiring lawsuits and billionaire founders to get their foot in the door.\n\n### **Solution:**\n\nUsul, in response, builds software to simplify this process. Here’s an example for computer vision software:\n\n1. Identify active defense programs for computer vision\n\n![uploaded image](/media/?type=post&id=85526&key=user_uploads/1124751/a1fa8a86-d8da-4791-b25a-e1319ea6d7f0)\n\n2. Analyze other companies winning computer vision contracts\n\n![uploaded image](/media/?type=post&id=85526&key=user_uploads/1124751/4179e2dc-2ef9-4431-99c3-2ec45fb892ab)\n\n3. Identify and contact active government buyers for computer vision\n\n![uploaded image](/media/?type=post&id=85526&key=user_uploads/1124751/a73aabc6-0c68-4fde-a9ab-dd90dea9f25c)\n\n### **Our Ask:**\n\nWe’re Live! If you’re interested in winning defense contracts or want to expand your current efforts, please contact us at [founders@usul.com](mailto:founders@usul.com) or book a demo [here](https://calendly.com/d/cmq7-4sg-b57/usul-product-call?month=2024-11)! Feel free to learn more about what we’re building at [usul.com](http://usul.com).",
        "url": "https://www.ycombinator.com/launches/MFS-usul-pitchbook-for-government",
        "votes": 25,
        "created_at": "2024-11-13T14:46:36.718Z"
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      {
        "id": 82530,
        "title": "Usul - AI for defense contractors 🇺🇸",
        "tagline": "Win more DoD contracts with policy, budgetary, and contract intelligence. ",
        "body": "### **TLDR:**\n\n[Usul](https://www.usul.co/) allows defense contractors to easily interpret government policy, track funding lines across budgetary documents, and strategize the best opportunities for new business.\n\n### **Problem:**\n\nWinning DoD contracts can take years, even if you’re well-connected and highly familiar with government acquisition processes. Unfortunately, many companies lack both and go out of business before ever landing their first contract. Adding fuel to the fire, critical government information is randomly dispersed across a multitude of archaic websites, databases, and spreadsheets, making it even harder for new entrants to compete against established primes. As a result, defense contractors are currently spending weeks finding answers to crucial policy, budgetary, and contracting questions and are completely neglected in terms of tooling.\n\n### **Solution:**\n\nWe allow defense contractors to quickly track and query complex DoD demand signals under a unified workspace. Contractors can now:\n\n* Identify novel contract opportunities\n* Track DoD funding lines and analyze project budgetary trends\n* Identify relevant acquisition and compliance regulations\n* Find the most relevant DoD buyers for existing capabilities\n\nAll in one place.\n\n![uploaded image](/media/?type=post&id=82530&key=user_uploads/1097644/e2b525a7-e178-49ae-93d0-b5d7b9425d87)\n\n### **Coming Soon:**\n\nStake your own company data against government demand signals to:\n\n* Predict future funding lines for your capabilities\n* Identify personalized avenues for future opportunities\n* Pull custom acquisition and compliance matrices\n\n![uploaded image](/media/?type=post&id=82530&key=user_uploads/1097644/ea1e1d50-bd26-49a9-a6d7-1410d77efabd)\n\n### **About Us:**\n\nWe’re a group of AI nerds who’ve all worked for government contractors like Palantir, Apple, Reliable Robotics, etc. We met in a class at Stanford called Hacking 4 Defense, where we talked to 200+ people in the DoD/defense sector about their biggest problems. Our insights from these incredible conversations inspired us to form Usul. And yes, it’s a Dune reference…\n\n![uploaded image](/media/?type=post&id=82530&key=user_uploads/1097644/ff9b7208-5f5c-4d7c-9d40-e23a358937ff)\n\n[Jarren Reid](https://linkedin.com/in/jarrenreid) left high school to start his first company. He then worked for 4 government contractors (Palantir, MITRE, etc.) and dropped out of Stanford to help his past colleagues win more contracts.\n\n[Oliver Gomez](https://www.linkedin.com/in/oliveragomez/) started building as a PM at Finnt (YC W22). He then worked at Palantir and leveraged LLMs for military operational legal review at Stanford’s Gordian Knot Center. He dropped out last quarter.\n\n[Joonghyun Lee](https://www.linkedin.com/in/joonghyun-lee/) is a commercial pilot who has been working on autonomous aircraft research for the past 3 years. He has experienced numerous pain points dealing with regulation across different government agencies.\n\n[Pranav Sriram](https://www.linkedin.com/in/p-sriram/) has been engrossed in AI research for the past four years at Apple and the Stanford Vision and Learning Lab. He previously worked at NASA and saw firsthand how time-consuming getting answers to basic technology, security, and policy questions across government could be.\n\n### **Our Ask:**\n\nWe’re Live! Learn more about what we’re building at [usul.co](http://usul.co).\n\nIf you know any:\n\n* Business Development or Capture teams at Defense Contractors\n* Defense/Government consultants\n* Companies looking to expand to Defense/Government\n\nWe’d love to chat! Please feel free to contact us at [founders@usul.co](mailto:founders@usul.co) or book a demo [here](https://calendly.com/d/ckt9-b7f-k8n/usul-product-call)!",
        "url": "https://www.ycombinator.com/launches/LT8-usul-ai-for-defense-contractors",
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        "created_at": "2024-07-29T18:12:23.784Z"
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    "long_description": "SureBright lets e-commerce merchants embed \"Apple Care” like product warranties into their checkout flows in less than 10 minutes. Our AI-powered warranty platform generates incremental revenue and boosts customer loyalty at zero cost to the merchant.\r\n\r\nSanket led engineering at PolicyBazar, an insurance tech company that IPOed and is valued at over $8B. Manish worked at Amazon and has built $100M ARR products, handling over 180B requests per day.\r\n\r\nUntil now, finding the right policy for any product and pricing it at the right price wasn’t possible at scale. We automated this process using LLM and have unlocked a $50B+ opportunity. Each month, over 5 million consumers view SureBright warranty offers.",
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        "full_name": "Manish Chauhan",
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        "full_name": "Sanket Munjal",
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        "founder_bio": "CTO & Co-Founder @ SureBright. Led Engineering at an InsurTech, PolicyBazaar.com that went public (8Bn USD). 2x Founder. Ex-Philips, Ex-Samsung",
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        "title": "Senior Product Manager",
        "url": "https://www.ycombinator.com/companies/surebright/jobs/mdSidh6-senior-product-manager",
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        "role_type": null,
        "salary_range": "₹2M - ₹5M INR",
        "equity_range": "0.20%",
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      {
        "id": 83656,
        "title": "SureBright: Offer your own Apple Care-like warranty program in 10 minutes!",
        "tagline": "We enable e-commerce merchants and companies to offer insurance products like product warranties and shipping insurance with zero time and resource investment.",
        "body": "**tl;dr: Embedding these insurance products generates additional revenue, protects customers, and boosts customer loyalty at zero cost. And it’s as easy as signing up for Facebook if you still remember that!** 😉 — [**_Talk to us._**](https://meetings.hubspot.com/manishchauhan/discussion-booking-extended-hours)\n\n_—_\\\n\\\nHello, everyone! We are Manish and Sanket (right to left), the team behind SureBright. We started our professional journey together with our first job at Samsung Research Institute 14 years ago. \\\n\\\n[**Manish**](https://www.linkedin.com/in/manishchauhan01/) **(CEO)**, a graduate of the University of Waterloo (MMath, CS) and INSEAD (MBA), has developed products for industry giants like Amazon and serves on the board of the InsurTech Association. [**Sanket**](https://www.linkedin.com/in/sanketmunjal/) **(CTO)** has led engineering departments at insurtechs such as Policy Bazaar, which has become a household name in India. Together, we bring 25 years of combined experience in insurtechs, startups, major tech companies, and business.\n\n![uploaded image](/media/?type=post&id=83656&key=user_uploads/456731/48122b44-2e46-4967-8d6f-81c645ca259d)\n\nWarranty and insurance distribution in e-commerce has seen minimal change, with the industry evolving slowly. At Surebright, we're on a mission to revolutionize this by leveraging the latest advancements in generative AI. Our platform enables US and Canadian merchants to seamlessly integrate Apple Care-like warranty programs for any eligible product, from ovens to bikes. We achieve this with nearly zero onboarding and operating costs, allowing merchants to offer these warranties in just minutes across any sales channel.\n\n![uploaded image](/media/?type=post&id=83656&key=user_uploads/456731/62878cfc-f33a-4731-82c6-022f2614970f)\n\n### **What is the problem? ❌**\n\nThe cost of offering product warranties is exponentially high for merchants and insurers. As it follows,\n\n1. **Resource-Intensive Integration:** Merchants must create a file transfer-based system to integrate with insurers. Additionally, they need to develop internal tools to apply the correct warranty plans to products, build custom UIs, and manage data collection, sharing, and tracking to meet both insurer and regulatory requirements. This entire process can take **six months to a year to go live**.\n2. **Recurring Additional Work:** Maintaining integrations and tools requires dedicated engineering teams. Running the warranty program also requires dedicated time from the operation team. This usually requires **additional hiring**.\n\nBelow is what the current merchant landscape looks like,\n\n![uploaded image](/media/?type=post&id=83656&key=user_uploads/456731/0e70aa2b-9c2e-41d7-bc6d-6b292f383590)\n\n### **How is SureBright Solving these problems? 🎉**\n\nSureBright’s **warranty program runs on auto-pilot**, empowering merchants of all sizes and providing the following key benefits:\n\n1. **99% less onboarding time, no onboarding or operating costs**, and no recurring tasks or hiring required. Our end-to-end automated solution ensures you never worry about the warranty program.\n2. **Cover any product** under warranty and offer other insurance products, such as Shipping Insurance, without lifting a finger.\n3. **Enjoy the highest warranty conversions** in the industry, averaging around 20.2%.\n\n**With these benefits, we help merchants boost their bottom line** by up to 12% through warranty margin share. Offering warranties also increases customer trust in the brand, leading to 15.6% more conversions and a 14% increase in Average Order Value. In addition, customers get a better post-purchase experience, resulting in more repeat customers and fewer negative reviews.\n\n### **The “aha” moment? 🎯🧠🧨**\n\nWe began our journey to help smaller merchants (<$100M in sales) offer warranties. But, within 3-4 months of going live, we began attracting interest from larger merchants. **The “aha” moment came when Insurance companies started utilizing our platform for their customers.** This was a pivotal moment, leading us to develop SureBright as the Stripe for embedded e-commerce insurance products.\n\nToday, our customers include a diverse range of merchants and marketplaces with $0.5M to $1B in sales, insurance companies, tech firms involved in consumer product purchase journeys (such as Buy Now Pay Later), warranty management companies, and other insurtechs.\n\nYou can explore our consumer journey with partners such as [**Blackstone**](https://blackstoneproducts.com/products/blackstone-pizza-oven)**, **[**Magnum Bikes**](https://magnumbikes.com/products/magnum-pathfinder-t)**, **[**WalkingPad**](https://www.walkingpad.com/products/walkingpad-c2-foldable-walking-machine)**, and Street Cred Capital (BNPL).**\n\n### **How can you help? 🙏**\n\nIf you know any merchant, marketplace, or company participating in the consumer purchase journey, such as Buy Now Pay Later and Checkout Management Companies, please make the introduction. We and they will both be very thankful! Email: [manish@surebright.com](mailto:manish@surebright.com) or [**_BOOK A CALL DIRECTLY WITH US._**](https://meetings.hubspot.com/manishchauhan/discussion-booking-extended-hours)",
        "url": "https://www.ycombinator.com/launches/LlI-surebright-offer-your-own-apple-care-like-warranty-program-in-10-minutes",
        "votes": 19,
        "created_at": "2024-09-01T21:55:28.371Z"
      }
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    "id": 29851,
    "name": "Diode Computers, Inc.",
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    "long_description": "Diode automates circuit board design. We work with hardware companies to get them the PCBs they need, fast.",
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    "team_size": 10,
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    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1722536101,
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      "url": "https://www.ycombinator.com/people/diana-hu"
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      {
        "user_id": 1931106,
        "full_name": "Davide Asnaghi",
        "title": "Founder/CEO",
        "founder_bio": "I make circuit boards",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/d-asnaghi",
        "x_url": "https://x.com/davideasnaghi",
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        "user_id": 79914,
        "full_name": "Lenny Khazan",
        "title": "Founder/CTO",
        "founder_bio": "Lenny is the Co-Founder and CTO @ Diode Computers, Inc.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/lennykhazan",
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        "title": "Senior Software Engineer",
        "url": "https://www.ycombinator.com/companies/diode-computers-inc/jobs/V8LqvBH-senior-software-engineer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$140K - $240K",
        "equity_range": "0.10% - 0.50%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
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        "title": "Staff Electrical Engineer",
        "url": "https://www.ycombinator.com/companies/diode-computers-inc/jobs/UAUsCJS-staff-electrical-engineer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Electrical",
        "salary_range": "$140K - $200K",
        "equity_range": "0.10% - 0.30%",
        "experience": "3+ years",
        "visa": "Will sponsor",
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          "Rust",
          "Altium",
          "OrCAD"
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    "news": [
      {
        "title": "Making Claude a better electrical engineer | Claude",
        "url": "https://claude.com/blog/making-claude-a-better-electrical-engineer",
        "date": "Dec 11, 2025"
      },
      {
        "title": "How Diode Is 10x-ing Hardware Design",
        "url": "https://www.youtube.com/watch?v=ryHJuYzUejs",
        "date": "Jul 23, 2025"
      },
      {
        "title": "AI-Powered Circuit Board Design Startup Diode Lands $11.4 Million Series a - Business Insider",
        "url": "https://www.businessinsider.com/ai-circuit-board-diode-a16z-series-a-y-combinator-2025-7",
        "date": "Jul 22, 2025"
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    "launches": [
      {
        "id": 83244,
        "title": "Diode Computers, Inc. — Circuit boards as a service",
        "tagline": "Diode automates the circuit board design and ordering process for engineers.",
        "body": "Ciao Y Combinator! We’re [Davide](https://x.com/davideasnaghi) and [Lenny](https://www.linkedin.com/in/lennykhazan/) from [Diode Computers, Inc.](https://diode.computer/)\n\n**TL;DR: Diode is an end-to-end platform for circuit board design. With the help of AI, we can finish a months-long design project in days, and then ship working boards straight to your door.**\n\n**Try out our designer at **[**https://pcb.new/**](https://pcb.new/)**, or shop generated boards at **[**https://pcb.store/**](https://pcb.store/)**.**\n\n<https://www.youtube.com/watch?v=aOoG2gl8wdY>\n\n# Problem\n\nDesigning printed circuit boards (PCBs) is really hard. Existing tools provide little opportunity for design reuse, so most projects are started from scratch. Since there’s no good way to test your design, your best bet is to just order them and hope for the best.\n\nThought you were done? Nope — ordering PCBs is a pain too. Now you need to source the components, ship them across the globe to your manufacturer, and constantly be on the lookout for part shortages and replacements. It’s a full-time job.\n\n# Solution\n\nDiode solves this by owning the entire PCB design process end-to-end. It starts with a core of composable, reusable modules that users can stitch together to build their boards. When new use cases come up, our AI generator creates new modules in seconds instead of days. And with rigorously-tested modules instead of de novo designs, we can be confident that each board works first try.\n\n![uploaded image](/media/?type=post&id=83244&key=user_uploads/79914/00e25ff4-abe8-49d4-94c3-e74a925eb0a3)\n\nWe then take the user’s design and automatically translate it into manufacturing requirements to send to the factory. We stockpile all of the necessary components to remove the burden of supply chain management from users and amortize the cost of parts across all designs.\n\nThe result is an all-in-one platform for hardware design: describe what you need and get working boards delivered to your door.\n\n# Why\n\nIn a past life, we designed hardware at companies like Apple, and we encountered a problem: PCBs never worked on the first try. At best, they required micro-soldering surgery under a microscope and, at worst, a whole new board. These issues were driving us mad, so we started a company to fix it.\n\nWe want to make hardware design work more like software. Fast iteration cycles, reusable components with clean composition, and one-click ordering to build your products fast and cheap. Our vision is to turn PCB design into a software problem.\n\n**P.S.** Want a customized NFC business card with your logo? Get your own: <https://pcb.store/products/nfc-business-card>\n\n![NFC Business Card (x10)](https://pcb.store/cdn/shop/files/back.png?v=1724092003&width=1445)\n\n",
        "url": "https://www.ycombinator.com/launches/Lee-diode-computers-inc-circuit-boards-as-a-service",
        "votes": 83,
        "created_at": "2024-08-20T20:15:39.588Z"
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    "id": 29853,
    "name": "No Logo",
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    "website": "https://nologo.com/",
    "all_locations": "New York City, NY, USA",
    "long_description": "No Logo is building the orchestration layer for creating viral consumer products. The manufacturing world is full of capable, underutilized overseas factories with the machines, tooling, and engineers to build winning products – but no way to connect them to the creators and brands with the ideas and distribution. As a result, bringing a new product to market has traditionally taken 6-12 months, tens of thousands of dollars, and a team of 20-30 people.\r\n\r\nNo Logo collapses that. Using generative AI, we take a creator's product idea, visualize it, break it into core components and manufacturing processes, and match each step to the right factory in our network – turning an idea into a shippable product in just a few weeks.",
    "one_liner": "Turn ideas into physical products",
    "team_size": 15,
    "industry": "B2B",
    "subindustry": "B2B -> Supply Chain and Logistics",
    "launched_at": 1720474111,
    "tags": [
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      "America / Canada"
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    "url": "https://www.ycombinator.com/companies/no-logo",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/no-logo.json",
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    "city": "New York City",
    "country": "US",
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        "full_name": "Lev Glushkovskii",
        "title": "Founder/CEO",
        "founder_bio": "Previously co-founded SabersPro and bootstrapped the company from 0 to $10M+ in sales in 2.5 years, where he restructured the supply chain with factories increasing margins by 15% saving ~1M in profits. Dropped out from the Business, Technology, and Entrepreneurship program (BTE) at NYU Stern.",
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        "user_id": 1859401,
        "full_name": "Dylan McFarland",
        "title": "Founder/CTO",
        "founder_bio": "In high school bootstrapped a furniture startup and in under a year went from selling on Craigslist to running a 40-person factory in Shenzhen. Took those insights and dropped out of NYU Stern BTE to run No Logo, a platform that streamlines supply chain creation for growing companies. ",
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        "linkedin_url": "https://www.linkedin.com/in/dylan-mcfarland/",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/acc389a0599fcd74956e3d31c4f5fbec224a5652.jpg"
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        "id": 88195,
        "title": "Software Engineer",
        "url": "https://www.ycombinator.com/companies/no-logo/jobs/7OzjhOe-software-engineer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
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        "salary_range": "$120K - $170K",
        "equity_range": "0.10% - 1.00%",
        "experience": "Any (new grads ok)",
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        "id": 96324,
        "title": "Founding Growth Lead, Paid Media",
        "url": "https://www.ycombinator.com/companies/no-logo/jobs/HL4hboz-founding-growth-lead-paid-media",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$120K - $160K",
        "equity_range": "0.05% - 0.25%",
        "experience": "3+ years",
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      {
        "id": 103396,
        "title": "No Logo: Turn any idea into a real, manufactured product",
        "tagline": "Building the orchestration layer for physical product creation",
        "body": "The last twenty years have made starting a business seamless. Shopify solved the store. Stripe solved payments. TikTok solved distribution. Manufacturing is the one piece that never moved. Launching a single new product still takes 6 to 12 months, tens of thousands of dollars upfront, and a team of specialists. Most great product ideas die before they become something you can hold.\n\nWe are building the orchestration layer for physical product creation, bridging the gap between customer demand and manufacturing supply.\n\nIt works like this. You describe an idea. Our AI visualizes it with you, breaks it into components and manufacturing processes, and matches each step to the right factory in our network. We run production, QC, and fulfillment, going from idea to a growing brand in about a month with no upfront costs.\n\nWe are not putting logos on mugs. We create entirely new consumer products: a digital camera that clips onto a purse, a lava-lamp humidifier, a painting that glows like the sun. We are starting with creators whose audiences have already validated demand; production happens only after demand exists, not before.\n\nSo far we’ve launched hundreds of products, shipped tens of thousands of items, and reached creator audiences totaling more than 90M people. Every product we create makes the network faster and smarter for the next one.\n\nHave a product idea your audience keeps asking for? We'll make it real. [nologo.com](http://nologo.com)\n\n![uploaded image](/media/?type=post&id=103396&key=user_uploads/1864416/00357a42-8390-424d-88fd-cf378c0395fe)\n\n",
        "url": "https://www.ycombinator.com/launches/Qtg-no-logo-turn-any-idea-into-a-real-manufactured-product",
        "votes": 6,
        "created_at": "2026-06-17T22:59:32.498Z"
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      {
        "id": 83615,
        "title": "Terra 🌎: Instant supply chain creation",
        "tagline": "Enter Terra, a new world of procurement.",
        "body": "# **TL;DR -**\n\nUse [Terra](http://useterra.com) as an all-in-one platform to seamlessly **develop, manufacture, and ship your products**. Discover pre-vetted suppliers and instantly create modular supply chains, all while having access to wholesale pricing regardless of order quantity.\n\n—\n\n# **The Team**\n\nHello all! We’re [Dylan](https://www.linkedin.com/in/dylan-mcfarland/) and [Lev](https://www.linkedin.com/in/lev-glushkovskii/) from Terra, and we’re _really_ passionate about making custom manufacturing accessible to everyone.\n\n![uploaded image](/media/?type=post&id=83615&key=user_uploads/1859401/1b3de9c2-aefa-40aa-aeeb-7243b3bec363)\n\n# **🚨 The Problem 🚨**\n\nWe’ve been working with suppliers globally since we were freshmen in high school. If you can think of a costly manufacturing or shipping mistake, we’ve likely already made it a dozen times over. But through our experiences building supply chains, we’ve routinely run into the same issues: \n\n⚙️ Way too many moving parts \n\n⚠️ The best factories have high minimum order requirements \n\n👎 Current software is either too rudimentary or ridiculously complex\n\n# **✅ The Solution ✅**\n\n* Forget spending weeks juggling multiple supplier group chats, spreadsheets of shipping quotes, and financial docs. Terra automatically matches you with the right partners through a single dashboard, allowing you to launch products in minutes.\n* We aggregate demand based on similarity, ensuring you’ll get access to the best pricing and factories regardless of order size.\n*  Our platform is completely modular. Build a supply chain entirely from our pre-vetted partners, onboard your existing suppliers, or use a combination of both. No constrictions, only flexibility.\n\n![uploaded image](/media/?type=post&id=83615&key=user_uploads/1859401/38054f53-5593-4f5e-8f1e-0e80ff948676)\n\n# **🤝 Our Ask 🤝**\n\nAre you or anyone in your network looking to launch/scale/streamline manufacturing processes? If so, hit us at [founders@useterra.com](mailto:founders@useterra.com), we’d love to get in touch.\n\nCurrently looking specifically for anyone selling/manufacturing furniture or home goods! ",
        "url": "https://www.ycombinator.com/launches/Lkd-terra-instant-supply-chain-creation",
        "votes": 110,
        "created_at": "2024-08-30T04:18:41.909Z"
      }
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    "id": 29858,
    "name": "Vera Health",
    "slug": "vera-health",
    "former_names": [
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    "website": "https://www.vera-health.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We empower healthcare providers, starting with emergency physicians, with instant access to up-to-date evidence-based answers. Our platform cuts through the noise to deliver trustworthy medical information 10x faster, revolutionizing clinical decision-support.",
    "one_liner": "AI-powered clinical decision support for healthcare providers",
    "team_size": 6,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Healthcare Services",
    "launched_at": 1723103974,
    "tags": [
      "Digital Health",
      "Healthcare",
      "AI"
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    "batch": "Summer 2024",
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    "industries": [
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      "Healthcare Services"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/vera-health",
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    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/vera-health-ai/",
    "x_url": "https://x.com/veracity_ai",
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    "primary_partner": {
      "name": "Garry Tan",
      "url": "https://www.ycombinator.com/people/garry-tan"
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    "founders": [
      {
        "user_id": 1276862,
        "full_name": "Taieb Bennani",
        "title": "Founder",
        "founder_bio": "Background in Biomedical Engineering from Yale and Data Science from MIT. Beyond obvious passion for AI and healthcare, I’m an avid reader (I highly recommend The Unbearable Lightness of Being by Kundera!), and tennis & football enthusiast.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/taiebbennani/",
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      {
        "user_id": 878435,
        "full_name": "Maxime Allouch",
        "title": "Founder",
        "founder_bio": "Co-founder of Vera Health. Previously at MIT, Sorbonne, and HEC – dual background in business and AI. Passionate about health and fitness, I also compete in Spartan Races.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/maxime-allouch/",
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      {
        "id": 112249,
        "title": "Founding Designer",
        "url": "https://www.ycombinator.com/companies/vera-health/jobs/uQyQ2Hp-founding-designer",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Design",
        "role_type": "Product design",
        "salary_range": "$140K - $220K",
        "equity_range": "0.10% - 0.50%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": [
          "Prototyping",
          "Design systems",
          "Figma"
        ]
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 82847,
        "title": "Vera Health - Accelerating evidence-based healthcare",
        "tagline": "We give doctors and researchers a 10x faster way to access evidence-based answers.",
        "body": "**TLDR**: We're empowering doctors and researchers with instant access to up-to-date evidence-based answers. Our platform cuts through the noise to deliver trustworthy medical information 10x faster, revolutionizing clinical decision support and accelerating research breakthroughs. If you're interested, [we'd love to connect](https://cal.com/vera/30min). You can also sign up for our waitlist [here](https://app.vera-health.ai).\n\n## The Problem\n\n* Medical knowledge doubles every 73 days, creating massive information overload for healthcare professionals. This exponential growth impacts doctors' ability to provide the most current, evidence-based care.\n* Despite AI's potential to address this challenge, healthcare lags in adoption due to a lack of trust in existing solutions and challenges in data collection.\n\n## Our Solution\n\nWe tackle the core issue: **access to current, trustworthy medical evidence**. \n\nOur system:\n\n* Maintains a vast, weekly-updated repository of over 250 million documents from authoritative sources.\n* Employs a network of specialized AI models to retrieve and synthesize the most accurate data.\n* Implements rigorous safeguards to ensure the highest level of reliability.\n\n![uploaded image](/media/?type=post&id=82847&key=user_uploads/878435/33f5325d-394a-489a-89a4-492e2891a6d7)\n\n## The Team\n\nWe're [Taieb](https://www.linkedin.com/in/taiebbennani/) and [Maxime](https://www.linkedin.com/in/maxime-allouch/), recent Yale & MIT alumni passionate about transforming healthcare through technology. Our combined expertise spans healthtech, bioengineering, and data science, providing us with a unique perspective on both the technical and medical aspects of our solution. This has allowed us to build the most robust and trustworthy solution in the market.\n\n![uploaded image](/media/?type=post&id=82847&key=user_uploads/878435/f94f6f31-b0ec-4649-9ebf-5d385995454d)\n\n_Fun fact: We did our YC interview during the MIT Commencement ceremony, wearing our graduation regalia. (Pro tip: Don't postpone the YC interview, even for graduation!)_\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXc23h-Sjo92vSR-YSx7QSw97PNFeKqEATnreW_dxx6VKn51ABSfdwPGaqZqTVm4sopxOfiK09VDm-J2YFyOcQaacsyfgJqYyarIRxa8DmV7GIc21svQCeLw7ozt2WZNPcpGjYR_tz0S2m9SFphflxmJRvA?key=hQtFVOs06Ve9184xCIXvJA)\n\n## Next Steps\n\nWe've rolled out a closed beta to specialty physicians and biotech researchers, and the feedback has been exceptional. Users are consistently amazed by the accuracy of sources retrieved and the reliability of the insights provided.\n\nWe're now expanding our beta program and seeking partnerships with leading healthcare and research institutions. If you're a healthcare professional interested in streamlining your access to medical knowledge, [we'd love to connect](https://cal.com/vera/30min). You can also sign up for our waitlist [here](https://app.vera-health.ai).",
        "url": "https://www.ycombinator.com/launches/LYF-vera-health-accelerating-evidence-based-healthcare",
        "votes": 30,
        "created_at": "2024-08-08T14:02:08.059Z"
      }
    ]
  },
  {
    "id": 29957,
    "name": "Anglera",
    "slug": "anglera",
    "former_names": [
      "Angler"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a2dfb2adf611e11737fa14a1b9b4be581858cfc3.png",
    "website": "https://www.anglera.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "At Anglera, we're developing a suite of AI agents to help e-commerce companies run their operations more efficiently. Our flagship agent helps our customers onboard, enrich, and manage their product data, reducing time per product from 15 mins down to 5 seconds.\r\n\r\nWe previously developed ML to automatically enrich millions of products at Uber Eats, and we're now on a mission to automate the most common manual workflows for every e-commerce business.",
    "one_liner": "AI-Powered Product Data Enrichment",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B -> Retail",
    "launched_at": 1719875304,
    "tags": [
      "Machine Learning",
      "SaaS",
      "B2B",
      "E-commerce",
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        "full_name": "Amay Aggarwal",
        "title": "Founder/CEO",
        "founder_bio": "Amay is the Co-Founder of Anglera. \nHe graduated from Stanford with Bachelor's & Master's degrees, specializing in AI/ML.\nPreviously, he led Catalog AI efforts to onboard, enrich, & standardize millions of products sold on Uber Eats.",
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        "full_name": "Ray Iyer",
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        "founder_bio": "Ray is the Co-Founder of Anglera. He graduated from Stanford with a BS and MS in Computer Science, specializing in Systems & AI. Previously, he launched the first CPG Ads products at Uber Eats, and worked in engineering roles at Meta, Verkada, & Microsoft.",
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        "id": 96228,
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        "url": "https://www.ycombinator.com/companies/anglera/jobs/0EcFRvd-growth-lead",
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    "launches": [
      {
        "id": 91364,
        "title": "Anglera: AI Product Data Enrichment",
        "tagline": "We're building the product data infrastructure for the future of AI-driven commerce",
        "body": "**TLDR:** Anglera is the foundational AI layer that transforms messy product data into structured, searchable, enriched content at scale.\n\n🎥 **See our AI agents in action**: https://youtu.be/zlLaT-Uv9Xs\n\n---\n\n### **🔥 The Problem**\n\nWhile everyone's building AI apps, there's a massive infrastructure gap underneath: **product data is broken at scale.**\n\n* **Poor Discoverability** - 20% of searches return zero results due to missing/inconsistent information\n* **Low Conversion** - Data errors cause 23% loss in impressions and 14% drop in conversions\n* **Slow Time-to-Market -** Weeks of delays getting new products live due to manual data entry\n\n**Result:** Billions in lost revenue from broken infrastructure.\n\nThe tech stack looks like this today:\n\n```\nBeautiful frontend shopping UI/UX\n↓\nIntelligent search & discovery algorithms\n↓\nMessy, unstructured product data ← ✨ We fix this\n```\n\n### **🧠 Our Approach**\n\nWe've built AI agents that automatically transform any product data source into clean, structured, enriched content:\n\n* **Input:** Messy spreadsheets, PDFs, images, brand websites, supplier feeds \n* **Output**: Complete, enriched product catalogs, continuously optimized for AI discoverability\n* **Scale:** Process thousands of SKUs in seconds, not weeks.\n\n---\n\n### **🎯 Why Now?**\n\nTwo massive shifts are happening simultaneously:\n\n1. **AI Search Explosion:** ChatGPT, Perplexity, and others are becoming primary product discovery channels\n2. **Agentic Commerce:** AI agents are starting to make purchases autonomously\n\n---\n\n### **🤝 The Founding Story**\n\n![uploaded image](/media/?type=post&id=91364&key=user_uploads/1164027/c4bc63d9-8268-43bc-8c95-118fbac2588b)\n\n**Amay** and **Ray** - Stanford AI grads who lived this pain at Uber Eats scale:\n\n* **Amay:** Led Catalog AI, enriching millions of SKUs\n* **Ray:** Led CPG Ads, scaling product-driven ad campaigns\n\nNow we're bringing that same level of sophistication to every retailer.\n\n---\n\n### **🔮 The Vision**\n\nImagine a world where:\n\n* Every product is instantly discoverable by AI agents\n* Product information flows seamlessly between systems\n* New products go to market in hours, not months\n\n---\n\n### **🙏 Our Ask**\n\nWe're looking for connections to:\n\n* **Technical leaders** at retailers/marketplaces dealing with product information challenges\n* **AI shopping, search, or marketplace founders** who might benefit from what we're building\n\n\\- Amay, Ray & the Anglera Team\n\nWebsite: [www.anglera.com](https://www.anglera.com)\n\nEmail: [founders@anglera.com](https://founders@anglera.com)",
        "url": "https://www.ycombinator.com/launches/Nlc-anglera-ai-product-data-enrichment",
        "votes": 13,
        "created_at": "2025-06-17T13:40:54.115Z"
      },
      {
        "id": 82584,
        "title": "🛍️ Anglera: The smartest way to manage e-commerce products",
        "tagline": "Turn complex product data into high-converting listings in seconds",
        "body": "**TLDR**: [Anglera](https://www.anglera.com) is an AI-powered platform designed to help e-commerce companies manage their product data. We empower brands, retailers, and marketplaces to effortlessly onboard, enrich, and list hundreds of product SKUs. This saves time and improves sales. Contact us to learn more: [amay@anglera.com](mailto:amay@anglera.com)\n\n### **👋 Who we are**\n\nHello! We’re [Amay](https://www.linkedin.com/in/amayaggarwal/) & [Ray](https://www.linkedin.com/in/\\~iyer), and we’re on a mission to redefine how e-commerce companies manage their product data.\n\n![uploaded image](/media/?type=post&id=82584&key=user_uploads/1164027/42a17226-77c0-4c1d-8fb9-cab72b34aaf6)\n\nWhether you’re a brand, retailer, or marketplace, we know that dealing with e-commerce products can be challenging. We faced this problem first-hand at Uber Eats, where we built tech to enhance millions of listings uploaded by our restaurant and retail partners.\n\n### **🔍 Problem**\n\nMost rapidly growing e-commerce companies spend several hours each week managing their products across sales channels. Teams drown in spreadsheets, manually adding descriptions, images, and attributes for hundreds of items. This time-consuming process diverts focus away from actually growing their core business.\n\n### **💡 Solution**\n\nWe’re tackling the $20B Product Information Management (PIM) industry by building the smartest platform for managing e-commerce product data.\n\n<https://youtu.be/D3jKEOzbD-s>\n\nAnglera empowers every e-commerce business with their own AI catalog ‘expert’ trained on thousands of top-converting product listings. We not only help our customers onboard new products faster, but also improve all of their listings to drive better sales.\n\n**Key Features:**\n\n* **✅ Faster Time-To-Market**: Instantly onboard products from any source (Website URL, Spreadsheet, PDF, etc.)\n* **​✅ Better Sales**: Automatically enrich descriptions, images, & attributes to drive conversion\n* **✅ Wider Reach**: Start selling on new channels with just one click (Shopify, Amazon, etc.)\n\nWe measure success for our customers with two simple metrics: 1) $ increase in sales, and 2) # of hours saved.\n\n### **🙏 Asks**\n\n1. **Let’s chat** if you're a brand/retailer/marketplace looking to improve how you manage your product listings. Happy to share data-driven learnings from years of experience working on this at Uber Eats.\n2. **Introduce us** to any e-commerce companies in your network. Whether it's a friend running their own brand or someone who works at a larger retailer or marketplace, we’d love to connect.\n\nContact: [amay@anglera.com](mailto:amay@anglera.com) | Website: [www.anglera.com](http://www.anglera.com) | Calendar: [Book Time](https://calendly.com/amay-anglera/15-min)",
        "url": "https://www.ycombinator.com/launches/LU0-anglera-the-smartest-way-to-manage-e-commerce-products",
        "votes": 45,
        "created_at": "2024-07-30T21:50:52.321Z"
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    "website": "https://www.capitol.ai/",
    "all_locations": "Washington, DC, USA",
    "long_description": "Capitol AI is building a sovereign operating system for intelligence, designed for regulated, high-stakes institutions such as professional services firms, financial services, and government agencies. These organizations are overwhelmed by data and experimenting with generic AI tools that lack auditability, repeatability, and secure deployment. As a result, critical decisions are increasingly shaped by systems they do not fully control.\r\n\r\nCapitol runs entirely inside enterprise infrastructure and transforms proprietary data into structured, decision-grade artifacts such as due diligence reports, regulatory documentation, and executive intelligence. The platform is model-agnostic, fully auditable, and operates with no data egress, giving institutions durable control over their data, workflows, and standards.",
    "one_liner": "Capitol: the sovereign operating system for intelligence.",
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    "subindustry": "B2B -> Productivity",
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      "Analytics",
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        "question": "How did you decide to apply to Y Combinator? What was your experience applying, going through the batch, and fundraising at demo day?",
        "answer": "Brian Chesky encouraged us to apply. He hired Shaun at Airbnb. We wish we had done it earlier, but in some ways, the timing of this couldn’t be better. Brian believes the position we are in is very similar to Airbnb's right before they joined YC. And even similar dynamics to when Justin Kan made the last-minute referral for Airbnb’s founders (Brian, Joe, and Nate) to join YC. Going through the batch has been an incredible experience. Garry, Ooshma, and Aaron are phenomenal partners to work with and boil down opportunities and challenges to overcome to their essence. We’ve made huge strides in the batch regarding product velocity and customer acquisition. We’ve signed a $1.3m customer term sheet with one of the most influential media brands during YC!  "
      },
      {
        "question": "What's the history of your company from getting started until the present day? What were the big inflection points?",
        "answer": "Tom and I were collaborating on Covid-19 logistics applications leveraging AI models for HHS and the US DoD and the interfaces that prime USG integrators like IBM, SAP, and Deloitte produced were unusable. We saw an opportunity to develop integration and design standards for creating intelligent content leveraging models, and Capitol AI was born. We started the company with a contract from the 2nd largest health insurer in the US to automate data storytelling for their self-insured employer business line. We approached this problem with a mix of classical and bayesian statistical analysis and automating insight generation leveraging DBT. After GPT 3.5 was released we saw an opportunity to center our product stack around LLMs. We made a pivot away from healthcare and so that we could collect user data and feedback to move the product forward as quickly as possible. We now have built a product that is in high demand we just closed a $1.3m enterprise contract, with more to come. "
      },
      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "In the future, all content and data publishers will have an AI research layer. Capitol will be the category-defining product that unlocks this transformation, creating a more useful and personalized internet."
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    "year_founded": 2021,
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    "country": "US",
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        "user_id": 23932,
        "full_name": "Shaun Modi",
        "title": "Founder/CEO",
        "founder_bio": "Shaun Modi is the founder and CEO of Capitol AI, an infinitely smart research assistant that instantly generates high-quality content from your documents. One of the founding designers of Airbnb, Shaun has been named one of Business Insider’s Top 75 Designers in Technology. Shaun has designed software products for technology giants, the government, and its agencies, including Google, the White House, DoD, NASA, CDC, and Motorola. At Airbnb, Shaun worked side by side with CEO Brian Chesky. ",
        "is_active": true,
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        "user_id": 2079920,
        "full_name": "thomas hallaran",
        "title": "Founder/CTO",
        "founder_bio": "Software engineer and technical manager with a product mindset. Two decades of experience, including IC and Director positions in academia, venture backed startups, and the US Federal Government.",
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      {
        "id": 83810,
        "title": "Capitol AI - Create powerful content from data",
        "tagline": "Infinitely smart research assistant + document editor that generates content from your data.",
        "body": "Hey! We're Shaun and Tom from [Capitol AI](https://www.capitol.ai), and we’re thrilled to announce the launch of Capitol 2.0.\n\n# **TL;DR**\n\nAfter we got into YC, we asked ourselves: “What would Microsoft Word look like if it were built in the age of AI?” Our answer: A product that seamlessly combines deep research, generative images + text, and AI-assisted editing.\n\n[**This is Capitol 2.0**](https://www.capitol.ai)\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXcBHZ-cSYPZzPy48Nm-rz78AXUraAmaYG7sk-AXyR5-_p4cYGaj0-5uztAEO_pXY0r56gOz_hbUB-4-rhfcnbiBW5hV-31m9crYfEFGFfPmP-Zlcm7xFLJAdQgA0njg42wh1M8cPNv84VoBlZ4LmGBRoiN3?key=F5l7R5NSBH7WxKd4nIiTpg)\n\n**The Business Problem**\n\nContent creation for business users is a slow, disjointed process involving multiple tools like search, proprietary databases, spreadsheets, slides, PDFs, and word processors. This complexity limits businesses with data-driven content creation workflows from scaling their content production and selling more products.\n\n# **Our Solution**\n\nCapitol simplifies content creation by integrating research and editing into one seamless experience—automating tasks to supercharge productivity.\n\nCapitol AI empowers enterprise customers with an API/SDK that automates the research and content creation process. It gives them the tools to personalize and scale their product offerings with less headcount.\n\n[**Watch the video**](https://www.youtube.com/watch?v=SFymrPfE-nk)\n\n# **B2B Customers**\n\n**Enterprise** \\\n[Politico](https://www.politico.com), the global authority on the intersection of politics, policy, and power has exclusively partnered with Capitol to empower all [Politico Pro](https://www.politicopro.com/) users with AI content creation for policy and regulatory analysis.\n\n**Startups & SMB**\\\nFor startups and small businesses with repeatable data-driven processes like Cloud GTM provider [Invisory](https://invisory.co/) and the innovative AI-powered grant platform [AI Grants](https://www.aigrants.app/), Capitol is automating the creation of **revenue-generating** business documents with our API-accessible artifact generation pipeline.\n\n![uploaded image](/media/?type=post&id=83810&key=user_uploads/23932/0950a826-5715-468c-b4f8-f00190aa1a77)\n\n# **Why Now?**\n\nIn a time when publishers are increasingly being courted by AI model builders for licensing deals, Capitol AI is arming the rebels—helping publishers compete for attention and grow their customer base by automating content generation from their high-value data. Capitol will be the category-defining product to unlock this transformation.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeIy5Y14hTVoYbNBzaWtye7QpqmqdiBdbKm2y2gR9eXkUoA3T5QxSunxXgkx5_xbhjBb1pvLJM8ob_XM73c0CHtCHUldMDuoFzZjctfWKOoyzJForUKh3CcS2kI8o1S3JG9TyVrGZsCgyDPF_1KpgZjniI?key=F5l7R5NSBH7WxKd4nIiTpg)\n\n# \n\n# **Tech**\n\nCapitol includes a proprietary model orchestration, eval framework, chain of thought reasoning, and RAG pipelines that work together to enable our customers to generate and iterate on content in our product or via API.\n\n# **How Capitol Works** \n\nRewrite, reformat, & transform your content\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXfnE4np5a5RdEIJQCWpT_4uN5J7iIdkrQ5lgeGgyDcZp0it1eAwRI7XKVti4Kzbm_bqn_JXf39BlJhRwEvxy7vbpHSaxWiCX1Oz8KpmZzmay4tz7DXc8U_Rj5RXioSH1JxZaFSFUG-eAMK_jt0qmrLjBVkx?key=lcBvgZFvISlTTsrwNwpBug)\n\n\nType ‘/’ anywhere to generate new content in-line\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXexmXK1RLuHucEMVk-ervnI0_dyyjJCU5JvPdpOPnnBl0gi0IYBBrsNZqz5A-5gqP42_ablQrRdWE9eqlLQMxYQRIrKoTG6ew8P464tXf_Ucs9WUfYHa-kBj-RItpCXa_w7Y2BdLpyt61eVKLVfBovnl3A?key=lcBvgZFvISlTTsrwNwpBug)\n\n\nGenerate new content with a single click \n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeeLUmH9cppVSN5FGD9L1TfC8X5rDCgTyhx6hunL-s1wZLSq5kPzLWvvMkPCHrupc2z3efQfrO4wFzCq4Gqq1cJ9heMp1v9XXPeChbvN2bwMfZW2vLJT8E3weKkPwtov5b1nNUQ0A21qLfTTGIrOrUUvxoE?key=lcBvgZFvISlTTsrwNwpBug)\n\n### **🙏🏽 Our asks**\n\n# **1\\. Try Capitol**\n\nHead to [www.capitol.ai](http://www.capitol.ai) and try Capitol today. \\\nGet 3 months free with the special YC discount code **FOUNDERMODE**\n\n# **2\\. Integrate Capitol Into Your Product!**\n\nCapitol’s embedded content generation will transform your application’s user experience with real-time RAG and document creation from your data. By leveraging Capitol’s API/SDK, you can drive more engagement with your product and have more time with your users. Common use cases include:\n\n* Give your users the ability to create bespoke reports and insights, pulling forward hard-to-find data\n* Turn enterprise document search into a content generation flow\n* Transforming your knowledge base or help center into a more helpful experience for your customers\n* Let your users create social media content directly on your site\n\nContact us at [founders@capitol.ai](mailto:founders@capitol.ai)\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXcQrF-ciwjn96Unv9Js-UbJ4o1bJLuLzP_2Ihg1yGe45RIxjluJG0mzQ2j1tweHYGwRX8UOeOBC1HGmbmqnbi_KPK-38xKhxlpp6qeBisC54g56Tj3BArNJKgZbG8VnRRkK9loy__0DHmRR_D_Gf56pMPoD?key=F5l7R5NSBH7WxKd4nIiTpg)\n\n# **Founders**\n\n* [Shaun Modi](https://www.linkedin.com/in/shaunmodi/), CEO. One of the first product designers hired at Airbnb. Worked side by side with CEO Brian Chesky crafting the user experience of Airbnb. Fmr Google, Fmr Nasa, named one of Business Insider's Top 75 Designers in Technology. BFA from RISD.\n* [Tom Hallaran](https://www.linkedin.com/in/tomhallaran/), CTO. Fmr Director US AI Center of Excellence, Fmr VP of engineering at acquired adtech startup Selectable Media, Initial technical lead and architect of the largest political payment app in US. Undergrad from Columbia.\n\n[X](https://x.com/usecapitol), [Linkedin](https://www.linkedin.com/company/capitolai/), [Instagram](https://www.instagram.com/capitol.ai/)",
        "url": "https://www.ycombinator.com/launches/Lnm-capitol-ai-create-powerful-content-from-data",
        "votes": 68,
        "created_at": "2024-09-06T04:52:46.055Z"
      }
    ]
  },
  {
    "id": 29964,
    "name": "Overlap",
    "slug": "overlap",
    "former_names": [
      "Vastly"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4998b9bdb179ae20d8af8c2a3631f5ca038a41d2.png",
    "website": "https://www.overlap.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Overlap builds multimodal AI agents that can do literally anything you want related to video, such as finding specific moments, generating clips, or analyzing your video library. \r\n\r\nWhat takes media companies thousands of hours, we do in seconds. ",
    "one_liner": "Multimodal AI agents for video",
    "team_size": 6,
    "industry": "Consumer",
    "subindustry": "Consumer -> Content",
    "launched_at": 1721766905,
    "tags": [
      "Consumer",
      "Media",
      "Podcasts",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Active",
    "industries": [
      "Consumer",
      "Content"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/overlap",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/overlap.json",
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        "body": "# **✨ TL;DR**\n\n[Arva AI](https://arva-ai.com) ([LinkedIn](https://www.linkedin.com/company/arva-ai/)) makes onboarding onto a bank/fintech as a business 100x faster and significantly cheaper. We've built a highly compliant AI agent that instantly handles all low/medium risk manual KYB work in real-time as a customer is onboarding, cutting reviews to seconds and ops spend by 80%.\n\n# **❌ The Problem**\n\nWhen a business onboards with a bank or fintech, a human analyst has to conduct manual verification over 40% of the time.\n\n**Why is this human review stage a problem?**\n\n* Longer onboarding times cause drop-off from the onboarding funnel (in some cases, up to 50%!). This is a huge revenue loser.\n* Large operational overheads to run compliance teams— usually in the millions for large fintechs.\n* Humans make mistakes and deviate from procedure.\n\n# **💡 Enter Arva AI**\n\nArva AI’s agents completely replace human analysts, resulting in instant onboarding for low/medium-risk cases. Arva is a modular solution that can combine with preexisting compliance stacks or completely replace them as an end-to-end platform.\n\nArva is capable of conducting advanced web due diligence on a business entity, document verification, fraudster checking, handling the back and forth with customers, and much more.\n\n![uploaded image](/media/?type=post&id=82926&key=user_uploads/527003/684e6818-ad6c-4495-8ae3-876bda10813a)\n\n**See it in action**\n\n<https://www.loom.com/share/d956b4139f6646649fe0d518caad3386?sid=3b47393f-3078-46b4-8e7a-2d1502a8e702>\n\n# **🙏 Asks**\n\nIf you’re a fintech who has to conduct KYB onboarding, we’d love to discuss how we can make your onboarding times 100x faster and save you a bunch of money in the process. Book a demo [here](https://calendar.app.google/tBcxQvpgYmeymkveA), or drop us an email: [rhim@arva-ai.com](mailto:rhim@arva-ai.com). Or if you’re connected to the fintech space and there is someone you can introduce us to, please reach out!\n\n# **🦸 The team**\n\nWe’re Rhim (Oxford MEng) and Oli (Cambridge BSc), and we’ve been building products together for a while!\n\n* [Rhim](https://www.linkedin.com/in/rhim-shah/) (CEO) formerly led the FinCrime product team at Revolut Business, where he saw the extent of the manual workload during business onboarding. He also led multiple product teams at Jobandtalent. Prior to that, he was an APM intern at Google.\n* [Oli](https://www.linkedin.com/in/oliverfwales/) (CTO) was formerly the lead product engineer at Opvia (YC S20). Before that, he was a full-stack engineer at Iventis, Chimnie, and The Trade Desk.\n\n![uploaded image](/media/?type=post&id=82926&key=user_uploads/527003/ff6e2714-bf7a-4743-983d-94ef0a4f7ce6)\n\n",
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        "title": "MerlinAI: AI-powered ERP for construction 🏗️",
        "tagline": "Automate your construction workflows with our unified, all-in-one, AI-powered platform.",
        "body": "**Tl;dr** - We offer construction companies a single, AI-powered platform to streamline their entire business operations. From sales, estimating, project management, and materials management to finance, estimating, and CRM, our platform unifies these essential functions—traditionally spread across multiple systems—into one cohesive solution.\n\n---\n\n—\n\n👷‍♂️👷‍♀️🔧🚧👷‍♂️ Hi everyone, This is Sneha, KS, and Ayantika from Team MerlinAI!\n\n[KS](https://linkedin.com/in/kumar-siddhartha-44847516), a BITS Pilani grad and successful startup co-founder, and [Ayantika](https://linkedin.com/in/ayantika-dey-b8155b76), an IIT alumna and tech expert, bring extensive coding and product development expertise together, bringing about over a decade of technical expertise. [Sneha](https://linkedin.com/in/snehakumari), with over a decade of experience in supply chain management and lean manufacturing within the construction industry, has lived the pain of using ERPs in this industry.\n\n![uploaded image](/media/?type=post&id=83343&key=user_uploads/658785/154e02ac-146c-468f-926b-3c1d759cdb6f)\n\n🚧 **Problem**: Construction companies today juggle 8-17 different software tools—Merlin AI eliminates that complexity. For the first time, firms can automate and manage every aspect of their projects within a single, intuitive system.\n\n🛠️ **Solution**: Merlin AI empowers modular and manufactured home builders with an advanced, AI-driven platform that integrates estimating, materials management, finance, project management, and CRM. Say goodbye to fragmented systems and hello to streamlined efficiency.\n\n<https://www.youtube.com/watch?v=hsk_ZvI40JI>\n\n📌🔨Merlin helps companies reduce\n\n* Manual work by 60%\n* Cut software costs by $10,000 monthly\n* Complete construction projects 3x faster.\n\n![uploaded image](/media/?type=post&id=83343&key=user_uploads/658785/f6c4ffb8-3a32-4862-a52d-cd835ecfbcec)\n\n💰💰 **Opportunity**: \n\nWe're witnessing a perfect storm of factors: decades of stagnation in traditional ERP systems, a multi-billion-dollar industry built on misaligned incentives, and the transformative potential of AI. This confluence creates a rare cyclical opportunity for market upheaval. The last major shift in this space occurred in the 1990s with the advent of digital systems, and now, 30 years later, we're on the cusp of another seismic change. Customers are crying out for innovation, and as AI reshapes the landscape, early customer signals indicate an eagerness for smarter, more efficient systems. It's a unique window of opportunity that opens perhaps once in a multi-decade chance to redefine an entire industry's operational backbone.\n\n✨ **Our Ask**\n\nLeads: If you know of a construction company, offsite manufacturer, factory, builder, developer, or design firm wanting to improve their construction integration and project management, please send them to [snehak@merlinai.co](https://snehak@merlinai.co)\n\n📝 **Mention Us**: If you like what you see, share the love! Mention us in Slack groups, social media, or any community where construction companies, offsite builders, or startup founders gather.",
        "url": "https://www.ycombinator.com/launches/LgF-merlinai-ai-powered-erp-for-construction",
        "votes": 69,
        "created_at": "2024-08-23T17:38:49.272Z"
      }
    ]
  },
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    "id": 29978,
    "name": "SimCare",
    "slug": "simcare",
    "former_names": [
      "simhealth.ai",
      "Luna Sim (prev. simhealth.ai)",
      "Soma Lab",
      "SimCare AI"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1907f0562c3999072b46993e335043d8a2316f2d.png",
    "website": "https://simcare.ai",
    "all_locations": "New York City, NY, USA",
    "long_description": "SimCare is an all in one solution for training clinical skills in healthcare and behavioral health. From AI avatars that you can speak with, feedback systems trusted by the top programs in the country, to site placements tools that help you show your skills and find a job. SimCare is used across the board to train counselors, social workers, doctors and nurses.",
    "one_liner": "AI avatars to scale healthcare training.",
    "team_size": 7,
    "industry": "Healthcare",
    "subindustry": "Healthcare",
    "launched_at": 1719547782,
    "tags": [
      "AI-Enhanced Learning",
      "Education",
      "Healthcare",
      "Edtech"
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    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Active",
    "industries": [
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    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/simcare",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/simcare.json",
    "year_founded": 2024,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/simcareyc",
    "x_url": "https://x.com/SimCareAI",
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    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
    },
    "founders": [
      {
        "user_id": 1053982,
        "full_name": "Vrishank Saini",
        "title": "Founder/CEO",
        "founder_bio": "Vrishank Saini is a University of Chicago neuroscience undergrad with a knack for blending neuroscience and computer science to drive innovation in medical education. As the founder of Bioscope Wellness and Soma Lab, he's not just studying cross-disciplinary subjects—he's applying them, evidenced by his development of a mental health app that garnered national coverage and over 120,000 downloads.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/vrishanksaini/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b1d76996a5de932e6f474ab083dabf18d8693a9e.jpg"
      },
      {
        "user_id": 2094245,
        "full_name": "Tiko Bdoyan",
        "title": "Founder/CTO",
        "founder_bio": "Founder at Soma Lab passionate about educational technology and the future of learning. Previously, I was a Machine Learning researcher and a varsity wrestler at the University of Chicago.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/tigran-bdoyan/details/experience/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/79b35bd7d21772ed4feb6fd99be9854a5a73285b.jpg"
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    ],
    "jobs": [
      {
        "id": 91257,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/simcare/jobs/DLY8bc9-founding-engineer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$160K - $200K",
        "equity_range": "0.50% - 1.00%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "Meet The Med School Dropouts Using AI To Train Clinicians",
        "url": "https://www.forbes.com/sites/davidprosser/2025/02/27/meet-the-med-school-dropouts-using-ai-to-train-clinicians/",
        "date": "Feb 27, 2025"
      }
    ],
    "launches": [
      {
        "id": 85622,
        "title": "SimCare AI – Scaling Healthcare Training and Evaluation with AI Patients & Simulations",
        "tagline": "Conversations with AI patients to scale clinical training.",
        "body": "Hi everyone, we’re [Vrishank](https://www.linkedin.com/in/vrishanksaini/) and [Tigran](https://www.ycombinator.com/companies/soma-lab)[,](https://bookface.ycombinator.com/user/2094245) the team behind [SimCare AI](https://somalab.ai)**.**\n\n**tl;dr:** SimCare AI (prev. “Soma Lab”) creates AI-simulated conversations to scale healthcare training. Students and providers practice with our AI patients to build skills and get evaluated.\n\n**The Problem: Healthcare Training and Evaluation Isn’t Scalable**\n\nHealthcare still relies on slow, expensive methods like role-playing, in-person evaluations, and one-on-one interviews. These outdated approaches not only create bottlenecks in education and hiring but also cost institutions hundreds of thousands of dollars annually in faculty time, actor fees, and administrative overhead. Scaling these processes is critical, but traditional methods make it nearly impossible.\n\nWhile governments and accrediting bodies are pushing to expand healthcare workforces by increasing the number of schools and seats, the real bottleneck lies in non-didactic training. Schools have figured out how to scale lectures and coursework online, but they can’t scale the hands-on, interactive training required to meet competency-based accreditation standards like CACREP.\n\nAdding to the challenge, **it is illegal to practice counseling without direct clinical supervision** in the classroom or the proper licenses. Students can’t even practice these conversations with friends or family legally, which leaves schools dependent on expensive, resource-intensive methods like faculty supervised role-playing.\n\n# **The Solution: AI-Simulated Conversations at Scale**\n\nSimCare AI uses AI to create realistic, interactive conversations with patients that allow students and professionals to practice and be evaluated anytime, anywhere. Our simulations replace costly methods with scalable alternatives, saving institutions significant time and money. Our system provides a legal, scalable solution for hands-on training, enabling schools to bypass these restrictions, meet accreditation requirements, and expand rapidly without sacrificing quality.\n\nTherapy programs use SimCare AI to train students with AI patients, reducing reliance on actors. Companies use AI patients to assess job applicants and onboard new hires efficiently. Medical and social work programs prepare learners for real-world challenges without the need for resource-heavy manual evaluations.\n\nIn just **3 weeks**, we were able to close **30 pilots** with institutions like the University of Pennsylvania, Virginia Tech, University of Sydney, John Carroll University, and Western Carolina University.\n\n![uploaded image](/media/?type=post&id=85622&key=user_uploads/1053982/effe8dfb-c4cb-4b32-b0d5-03dee23e2036)\n\n### For example:\n\n* **Therapy and counseling schools** use SimCare AI to replace role-playing exercises with our AI patients that simulate realistic therapy sessions. Students can practice conversations anytime and get evaluated instantly, helping programs scale without relying on limited and expensive faculty or actors.\n* **Teletherapy companies** use SimCare AI to screen job applicants by testing their skills with AI patients, ensuring quality candidates are hired faster and cost-effectively. They also use SimCare AI for internal training to ensure company standards.\n* **Social work programs** use SimCare AI to train students with AI families and patients, evaluate them on critical interactions, and provide targeted remediation when needed.\n* **Medical schools** use SimCare AI to teach students how to handle patient interactions before they see real patients.\n\n# **The Team**\n\nWe met at the University of Chicago after joining the same fraternity. Vrishank failed a clinical communications test and couldn’t afford the $9,000 tutor fee. So instead, we built an AI clinical communications coach. Vrishank's score shot up, so we said screw it and launched the tool. In 3 weeks, we hit $5k MRR and 2.5k users. Seeing the impact this would have if applied to all of healthcare, we decided to build the AI infrastructure for healthcare training and evaluation.\n\nWhile in high school, Vrishank created a healthcare education app, which scaled to 120,000+ downloads in 6 months. Tigran was the lead machine learning researcher in a bioinformatics lab at the Luddy School of Informatics.\n\n![uploaded image](/media/?type=post&id=85622&key=user_uploads/1053982/5aa3f430-08fd-4595-bf57-4c917a6d8252)\n\n# **How You Can Help**\n\nShare this with anyone in healthcare or education who trains, hires, or evaluates students and professionals.\n\n![uploaded image](/media/?type=post&id=85622&key=user_uploads/1053982/43d2a87d-4ea5-4ecd-ad02-0f199ed84104)\n\n",
        "url": "https://www.ycombinator.com/launches/MH0-simcare-ai-scaling-healthcare-training-and-evaluation-with-ai-patients-simulations",
        "votes": 41,
        "created_at": "2024-11-16T23:39:10.900Z"
      },
      {
        "id": 83640,
        "title": "Soma Lab – Scaling clinical training with AI",
        "tagline": "Helping medical schools and hospitals train students and doctors. They practice on our AI simulations before seeing real patients.",
        "body": "Hi everyone, we’re Vrishank and Tigran[,](https://bookface.ycombinator.com/user/2094245) the team behind [**Soma Lab**](https://somalab.ai/)**.**\n\n**tl;dr:** Soma Lab helps medical schools and hospitals train students and doctors. They practice on our AI simulations before seeing real patients.\n\n**The problem: Medical education can't scale with outdated methods to meet the growing doctor demand.**\n\nThere’s a serious doctor shortage, and governments are responding by mandating increases in medical school seats.  Schools are still relying on outdated, unscalable approaches like using actors to simulate patients one by one. Medical schools need solutions that can expand with this demand without losing quality—to fix this, we’re helping medical schools and hospitals scale clinical training with AI.\n\n**The Solution: Scalable clinical training with AI**\n\nSoma Lab scales clinical training with AI simulations that let students practice patient interactions, moving beyond the outdated methods. Our platform provides realistic, on-demand practice that adapts to the needs of medical schools, allowing them to train more students effectively without sacrificing quality. We’re solving the bottleneck in clinical education, making it scalable, flexible, and fit for the future.\n\n![uploaded image](/media/?type=post&id=83640&key=user_uploads/1053982/ec01950e-358e-4305-b880-8a8f9d009f6d)\n\n**The Team**\n\nWe met at the University of Chicago after joining the same fraternity. Vrishank failed a clinical communications test and couldn’t afford the $9,000 tutor fee. So instead, we built an AI clinical communications coach. Vrishank's score went up to the top quartile, so we said screw it and launched the tool. In 3 weeks, we hit $5k MRR and 2.5k users. Seeing the impact this would have if applied to all of healthcare, we decided to build the AI infrastructure for medical education.\n\nWhile in high school, Vrishank created a healthcare education app, which scaled to 120,000+ downloads in 6 months. Tigran was the lead machine learning researcher in a bioinformatics lab at the Luddy School of Informatics.\n\n![uploaded image](/media/?type=post&id=83640&key=user_uploads/89898/bbe53983-3588-4b34-8ba2-61949f353b1a)\n\n**How You Can Help**\n\nWe're out to change medical training for the better, and we could use your help! Pass this along to folks in healthcare—whether they're doctors, medical/nursing students, hospital admins, or anyone in the medical education field.",
        "url": "https://www.ycombinator.com/launches/Ll2-soma-lab-scaling-clinical-training-with-ai",
        "votes": 144,
        "created_at": "2024-08-31T15:14:00.615Z"
      }
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    "id": 29987,
    "name": "Syntra",
    "slug": "syntra",
    "former_names": [
      "Lightning Medical"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a6d299272e28e28fc0eef5034541be246b698d0b.png",
    "website": "https://www.syntra.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Syntra’s mission is to make healthcare faster, starting with healthcare payments.\r\n\r\nSyntra Autonomous, our first product, automates pre-bill chart review, claim review, and submission.\r\n\r\nIn the 12 months since launch, Syntra Autonomous has processed more than 1 million patient encounters and over $200 million in insurance collections across hundreds of practice locations nationwide.\r\n\r\nIf you’re interested in building toward infinitely fast healthcare, reach out!",
    "one_liner": "Faster healthcare payments ",
    "team_size": 10,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Healthcare IT",
    "launched_at": 1723733582,
    "tags": [
      "FinOps",
      "Fintech",
      "Healthcare IT",
      "AI"
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Active",
    "industries": [
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      "Healthcare IT"
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    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
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    "stage": "Early",
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    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/syntra",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/syntra.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/104475652/",
    "x_url": "https://x.com/SyntraSystems",
    "fb_url": null,
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a6d299272e28e28fc0eef5034541be246b698d0b.png",
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    "primary_partner": {
      "name": "Garry Tan",
      "url": "https://www.ycombinator.com/people/garry-tan"
    },
    "founders": [
      {
        "user_id": 981289,
        "full_name": "Ayush Jain",
        "title": "Founder/CEO",
        "founder_bio": "Ayush is the co-founder and CEO of Syntra.\n\nBefore Syntra, Ayush was awarded the Goldwater Scholarship for his work on using EHR Data to simulate clinical trials. He studied Computer Science and Chemistry at Duke University where he first-authored papers in international AI + Healthcare conferences, featuring his work at the Broad Institute of MIT and Harvard and Duke AI Health.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ayushaadijain/",
        "x_url": "https://x.com/ayushaadijain",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ec1cdee81f66ae39db32aac01b4d9dd9151d4991.jpg"
      },
      {
        "user_id": 1795464,
        "full_name": "Aniketh Kolla",
        "title": "Founder/CTO",
        "founder_bio": "Aniketh is the co-founder and CTO of Syntra.\n\nBefore Syntra, Aniketh was studying Mathematics and Computer Science at Duke University. He has presented several papers at national conferences and was the lead engineer responsible for scaling an app from 0 to 8 million users.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/anikethkolla/",
        "x_url": "",
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    "jobs": [
      {
        "id": 96313,
        "title": "Healthcare Enterprise Full Cycle Account Executive",
        "url": "https://www.ycombinator.com/companies/syntra/jobs/mghppvZ-healthcare-enterprise-full-cycle-account-executive",
        "location": "San Francisco, CA, US / Remote (US)",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$100K - $150K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
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      },
      {
        "id": 96315,
        "title": "Applied Healthcare AI Engineer ",
        "url": "https://www.ycombinator.com/companies/syntra/jobs/i6GtpqR-applied-healthcare-ai-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$100K - $150K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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      },
      {
        "id": 96316,
        "title": "Healthcare Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/syntra/jobs/UcI7dSK-healthcare-forward-deployed-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$100K - $150K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
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    "launches": []
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    "id": 29989,
    "name": "Conductor",
    "slug": "conductor",
    "former_names": [
      "BookMe",
      "Melty",
      "Chorus"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2cd38e31ad4112f27dcddd9c52ef2f8fc0e2fbab.png",
    "website": "https://conductor.build",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Run parallel agents in isolated workspaces. See at a glance what they’re working on, then review and merge their changes. ",
    "one_liner": "Run a team of coding agents on your Mac",
    "team_size": 8,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1725301012,
    "tags": [
      "Developer Tools",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Active",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Growth",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/conductor",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/conductor.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/meltylabs",
    "x_url": "https://x.com/conductor_build",
    "fb_url": null,
    "cb_url": null,
    "github_url": "https://github.com/meltylabs",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2cd38e31ad4112f27dcddd9c52ef2f8fc0e2fbab.png",
    "app_video_url": null,
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    "primary_partner": {
      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
    },
    "founders": [
      {
        "user_id": 331436,
        "full_name": "Charlie Holtz",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder & CEO at Conductor\n\nPreviously led growth at Replicate, where I built apps with millions of users. Before that I was a quantitative dev at a team at Point72.\n\nI studied cognitive neuroscience at Brown, where I also played Ultimate Frisbee (and met my co-founder, Jackson).",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/charlieholtz",
        "x_url": "https://x.com/charlieholtz",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0832de4ad456e90d50a49e9108006d6efd4c55c5.jpg"
      },
      {
        "user_id": 229410,
        "full_name": "Jackson de Campos",
        "title": "Founder",
        "founder_bio": "Conductor lets you run a team of coding agents on your Mac. We’re building the human interface to AI organizations.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jacksondecampos/",
        "x_url": "https://x.com/jacksondecampos",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/baecbbe60d29db5f840d9f3c6438d0a979a7af37.jpg"
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    ],
    "jobs": [
      {
        "id": 84039,
        "title": "Product Engineer",
        "url": "https://www.ycombinator.com/companies/conductor/jobs/MYjJzBV-product-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$175K - $350K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 84041,
        "title": "Design Engineer",
        "url": "https://www.ycombinator.com/companies/conductor/jobs/cMJKjGy-design-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Frontend",
        "salary_range": "$200K - $350K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 94130,
        "title": "Backend Engineer",
        "url": "https://www.ycombinator.com/companies/conductor/jobs/gPiaCGr-backend-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$200K - $350K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "Conductor is The Tool the Best Engineers Are Using Right Now",
        "url": "https://www.youtube.com/watch?v=u2z44EkIEHE",
        "date": "May 08, 2026"
      },
      {
        "title": "Conductor’s Series A | Conductor Blog",
        "url": "https://www.conductor.build/blog/series-a",
        "date": "Mar 30, 2026"
      }
    ],
    "launches": [
      {
        "id": 93356,
        "title": "Conductor — Run a bunch of Claude Codes in parallel",
        "tagline": "Conductor lets you run a bunch of Claude Codes all at once, on your Mac.",
        "body": "Back in June, we started doing most of our dev work through Claude Code. It’s been so productive we [declared it a member of the team](https://x.com/charliebholtz/status/1935029747815432505).\n\nWe immediately wanted to get _more_ Claude, but the tooling was tedious. At one point we tried cloning our repo into three directories and running Claude in each of them, but it felt like driving a Subaru with a jet engine strapped on.\n\nWe needed a tool that would push Claude to its limits and that we’d enjoy working in all day.\n\nSo we built Conductor!\n\nhttps://www.youtube.com/watch?v=VsWWy2kVpa8\n\nOther people seem to like it too:\n\n![uploaded image](/media/?type=post&id=93356&key=user_uploads/331436/b581e29f-2ada-49d3-88f7-c91e6bfb7cf4)\n\n### **How it works**\n\n**In one click, start a new Claude in an isolated copy of your codebase.**\n\nWe integrate with Linear so you can easily start work on your issues.\n\n![uploaded image](/media/?type=post&id=93356&key=user_uploads/331436/315a80c3-3a33-4296-83cc-f0ac06a4b1f4)\n\n**See at a glance what every Claude is working on.**\n\n![uploaded image](/media/?type=post&id=93356&key=user_uploads/331436/3993651e-9bbf-4b62-9e70-32c4ff01ffe8)\n\n**Review Claude’s changes, create PRs, and merge!**\n\n![uploaded image](/media/?type=post&id=93356&key=user_uploads/331436/3d654281-7394-483a-b53d-b7b09d8f5980)\n\n### **Start Conducting**\n\n![uploaded image](/media/?type=post&id=93356&key=user_uploads/331436/b151e732-3397-4d8e-a138-911dd03a3c64)\n\nIt's free—we use your existing Claude Code login. You can [download for Mac now](https://conductor.build).\n\nCan’t wait to hear what you think!",
        "url": "https://www.ycombinator.com/launches/OHk-conductor-run-a-bunch-of-claude-codes-in-parallel",
        "votes": 23,
        "created_at": "2025-08-27T01:23:48.913Z"
      },
      {
        "id": 83684,
        "title": "Melty: Open source AI code editor for 10x engineers",
        "tagline": "Melty is the first editor that’s aware of what you’re doing from the terminal to GitHub and collaborates with you to write production-ready code.",
        "body": "Hi everyone! We’re Charlie and Jackson. We’re longtime friends who met playing ultimate frisbee at Brown.\n\n![uploaded image](/media/?type=post&id=83684&key=user_uploads/229410/ab31f858-0576-4cfc-8796-4148b999faae)\n\n[Charlie](http://charlieholtz.com/) comes from [Replicate](https://replicate.com/), where he started the Hacker in Residence team and [accidentally struck fear](https://www.businessinsider.com/david-attenborough-ai-video-hollywood-actors-afraid-sag-aftra-2023-11) into the heart of Hollywood. [Jackson](https://jdecampos.com/) comes from Netflix, where he [built machine learning infrastructure](https://netflixtechblog.com/scaling-media-machine-learning-at-netflix-f19b400243) that picks the artwork you see for your favorite shows.\n\nWe’ve used most of the AI coding tools out there, and often ended up copy-pasting code, juggling ten chats for the same task, or committing buggy code that comes back to bite us later. AI has already transformed how we code, but we know it can do a lot more.\n\nSo we’re building [Melty](https://melty.sh/), the first editor that’s aware of what you’re doing from the terminal to GitHub and collaborates with you to write production-ready code.\n\nWe’ve been working on Melty for 28 days, and it’s already writing about half of its own code. It can…\n\n_(all demos real-time)_\n\n**Refactor code across files**\n\n<https://www.loom.com/share/f0e7ae2644e6492ab9e9352fbd14ae8d?sid=b5d497cd-65f4-47ca-955a-73332d8edc4d>\n\n**Create web apps from scratch**\n\n<https://www.loom.com/share/4f4f85c3de8b420e85b65537b775e3c8?sid=01b43f48-0fec-400a-8bee-71132f6d4610>\n\n**Navigate large codebases**\n\n<https://www.loom.com/share/fc4eb54385a5426586160fad5dbfc1be?sid=73a79e2e-1505-47a1-838b-a375cf7523e4>\n\n**Write its own commits**\n\n![uploaded image](/media/?type=post&id=83684&key=user_uploads/229410/5b579ebb-e893-4a2e-b571-97d7136c681c)\n\nWe’re designing Melty to\n\n* Help you understand your code better, not worse\n* Watch every change you make, like a pair programmer\n* Learn and adapt to your codebase\n* Integrate with your compiler, terminal, and debugger, as well as tools like Linear and GitHub\n\nOur asks:\n\n1. Try Melty ([melty.sh](http://melty.sh)) and tell us what you think. It’s a fork of VS Code, so it’s compatible with all your settings and extensions.\n2. Tell us: what AI coding tools do you use, what do you like about them, and what’s frustrating? [DM Charlie](https://x.com/charliebholtz) or send us an email at [founders@melty.sh](mailto:founders@melty.sh).",
        "url": "https://www.ycombinator.com/launches/Llk-melty-open-source-ai-code-editor-for-10x-engineers",
        "votes": 30,
        "created_at": "2024-09-02T18:38:26.522Z"
      }
    ]
  },
  {
    "id": 29992,
    "name": "Outerport",
    "slug": "outerport",
    "former_names": [
      "haipera",
      "Haipera",
      "Outerbasis"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d2fd2342d3ea6b9592dfb0ad90c6249ad7c9ee05.png",
    "website": "https://outerport.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We’re about to see an influx in the AI-led discovery of new medicines, specialty chemicals, and materials. This means the bottleneck will shift from R&D, to the scale-up of these new recipes. Unfortunately, designing these production systems and making sure they can be operated safely is an expensive and labor-intensive ordeal that involves thousands of pages of drawings where one mistake can cause millions of dollars in rework or even disasters. Outerport solves this by helping engineering firms automate the design of the industrial control systems needed for production scale-up, using a domain-specific language for electrical design with thousands of unit tests that verify performance, and building simulators that can ingest already built schematics of plants to help automate comissioning and help train operators to prevent costly mistakes.",
    "one_liner": "Design automation for industrial electrical controls",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1721673756,
    "tags": [
      "Hardware",
      "Design",
      "Manufacturing",
      "Industrial"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Active",
    "industries": [
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      "Engineering, Product and Design"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/outerport",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/outerport.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/outerport",
    "x_url": "https://x.com/outerport",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d2fd2342d3ea6b9592dfb0ad90c6249ad7c9ee05.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
    },
    "founders": [
      {
        "user_id": 231327,
        "full_name": "Towaki Takikawa",
        "title": "Founder/CEO",
        "founder_bio": "Ex-Research Scientist at NVIDIA, working on R&D for simulation (neural fields, 3D computer vision, 3D generative models). Previously worked in robotics (systems engineering / electro-mechanical design) and manufacturing (operating various CNC machines 😎).",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/tovacinni",
        "x_url": "https://x.com/yongyuanxi",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/517caf29a4afd4a93916d324c052859963ad85db.jpg"
      }
    ],
    "jobs": [
      {
        "id": 81669,
        "title": "Member of Technical Staff, Computer Vision / Graphics",
        "url": "https://www.ycombinator.com/companies/outerport/jobs/XyfMWG2-member-of-technical-staff-computer-vision-graphics",
        "location": "San Francisco, CA, US / Tokyo, JP",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$100K - $200K",
        "equity_range": "0.50% - 3.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
          "Python",
          "Torch/PyTorch",
          "OpenCV",
          "Computer Vision"
        ]
      },
      {
        "id": 88429,
        "title": "Member of Technical Staff, Tokyo Deployed",
        "url": "https://www.ycombinator.com/companies/outerport/jobs/mMUcpLv-member-of-technical-staff-tokyo-deployed",
        "location": "San Francisco, CA, US / Tokyo, JP / Remote (US; JP; CA)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$60K - $200K",
        "equity_range": "0.50% - 3.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Python",
          "React",
          "TypeScript",
          "Next.js"
        ]
      },
      {
        "id": 95319,
        "title": "Member of Technical Staff, Process Engineering",
        "url": "https://www.ycombinator.com/companies/outerport/jobs/xNvEant-member-of-technical-staff-process-engineering",
        "location": "San Francisco, CA, US / Tokyo, JP / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Chemical engineering",
        "salary_range": "$60K - $200K",
        "equity_range": "0.50% - 3.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 95320,
        "title": "Business Development / Operations, Tokyo",
        "url": "https://www.ycombinator.com/companies/outerport/jobs/xOHQwfu-business-development-operations-tokyo",
        "location": "Tokyo, JP",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$60K - $200K",
        "equity_range": "0.10% - 3.00%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 114954,
        "title": "Member of Technical Staff, DSL for Automation & Electrical CAD",
        "url": "https://www.ycombinator.com/companies/outerport/jobs/sRFUnQ9-member-of-technical-staff-dsl-for-automation-electrical-cad",
        "location": "San Francisco, CA, US / Tokyo, JP / Remote (US; JP; CA)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$100K - $300K",
        "equity_range": "1.00% - 5.00%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
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    ],
    "news": [],
    "launches": []
  },
  {
    "id": 29999,
    "name": "Onlook",
    "slug": "onlook",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4c023f9010fb3a7f3e550c56a9283c477e6ca096.png",
    "website": "https://onlook.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Onlook is the fastest way for anyone to craft exceptional experiences in code. We built an open-source, visual editor for code that merges design, development, and AI.\r\n\r\nSince launching, Onlook hit #1 on Hacker News, was the #1 trending repo on GitHub–twice– and has earned over 26,000 GitHub stars.\r\n\r\nFounded by Daniel Farrell, a designer of 10+ years and former Head of Growth, and Kiet Ho, an ex-Amazon and ex-ServiceNow engineer, Onlook is on a mission to finally solve the gap between design and development. ",
    "one_liner": "The Developer tool for Designers",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1737572736,
    "tags": [
      "Developer Tools",
      "Design",
      "Design Tools",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2025",
    "status": "Active",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/onlook",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/onlook.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/onlook-dev",
    "x_url": "https://x.com/onlookdev",
    "fb_url": null,
    "cb_url": null,
    "github_url": "https://github.com/onlook-dev",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4c023f9010fb3a7f3e550c56a9283c477e6ca096.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
    },
    "founders": [
      {
        "user_id": 137575,
        "full_name": "Daniel Farrell",
        "title": "Founder/CEO",
        "founder_bio": "Founder & CEO of Onlook. \n\nDesigner, GTM strategist, and micromobility maniac building in the design <> dev space.\n\nProfessional designer for over a decade, first 100 employee at Bird on the Global Expansion Strategy team, cofounder of Wanderlift (long-distance ridesharing) and former Head of Growth at DIMO. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/danielrfarrell/",
        "x_url": "https://twitter.com/D_R_Farrell",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/24ff7171a829e5e9593b970dcb066d9c37829abb.jpg"
      }
    ],
    "jobs": [
      {
        "id": 74305,
        "title": "Founding Engineer (Fullstack)",
        "url": "https://www.ycombinator.com/companies/onlook/jobs/e4gHv1n-founding-engineer-fullstack",
        "location": "San Francisco, CA, US / Remote (US; CA)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$130K - $200K",
        "equity_range": "1.00% - 4.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
          "Node.js",
          "PostgreSQL",
          "React",
          "TypeScript",
          "Next.js",
          "Tailwind"
        ]
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 87467,
        "title": "Onlook – Cursor for Designers",
        "tagline": "An open-source, visual editor that makes it easy for designers and developers to collaborate in code.",
        "body": "**TL;DR – **[**Onlook**](http://onlook.com/?utm_source=launch_yc&utm_medium=social&utm_campaign=yc_launch)** is building the Cursor for designers, making it easy for designers and developers to collaborate in code. Onlook’s open-source visual editor was the **[**#1 trending repo**](https://github.com/onlook-dev/onlook/)** on GitHub, and has over 6.8k stars.**\n\n➡️ [Try Onlook today](http://onlook.com/download?utm_source=launch_yc&utm_medium=social&utm_campaign=yc_launch) ⬅️\n\nHere’s a [sneak peak of what it’s like to design with Onlook.](https://www.youtube.com/watch?v=wDity8UrIxE)\n\nHey there, we’re Daniel and Kiet, and we’re building Onlook ([onlook.com](http://onlook.com/?utm_source=launch_yc&utm_medium=social&utm_campaign=yc_launch)), the Cursor for Designers. \n\n### **The Problem**\n\nThere have been many attempts at solving the problem of design to dev handoff. But for so many tools in the market, there was always compromise. Either the tools were too complex for designers or too cumbersome for engineers to implement.\n\nThey were all built to abstract away code, but we’re in a new era of product development—where code isn’t the barrier. The real challenge is giving builders the best way to work with it. In other words, creating things with code has become more of a UX problem than a technical one.\n\n### **Our Solution**\n\n![uploaded image](/media/?type=post&id=87467&key=user_uploads/137575/f4e651b1-8cc2-4f41-8512-09500cf2cd0d)\n\nOur product can be best described as a visual IDE – you can either start with building a new app from a prompt, or import your existing NextJS / Tailwind app with Onlook. Once you run your app, you can start designing the interface directly as it’s rendered.\n\n![uploaded image](/media/?type=post&id=87467&key=user_uploads/137575/7a85a948-73c8-418f-9420-155cdec6d2de)\n\nWant to change a color? Want to move a div? Want to create a new page? You can do it yourself, or ask Onlook’s AI chat to do it for you. Because everything is one-to-one in code, you’re creating the real product with your edits, and you can always right-click to view your code in your preferred code editor.\n\nAnd, when you’re ready to share your creation with the world, you can host your project through Onlook with just a click.\n\n### **How we got here**\n\nWe started Onlook because we had experienced both sides of the design / engineering gap. Daniel has been a designer for over a decade, and Kiet was an engineer at ServiceNow and Amazon working directly with designers. \n\nKiet reached out to Daniel on YC’s Cofounder matching platform after starting the company in January of 2024, and shortly after we decided to team up and work together. If you’re looking for a cofounder, we [wrote a bit](https://onlook.substack.com/p/how-to-find-a-cofounder) about that process that you may find useful on our company Substack. \n\nWe [launched on Hacker News](https://news.ycombinator.com/item?id=40904862) and the project quickly earned over 1k GitHub stars. People were compelled by the idea of an open-source visual editor for code, and it felt like the timing was right. Since launching, we’ve continued to refine our editor to make it even better, and have since earned **6.8k stars**, tons of contributions.\n\nAlso, Onlook was recently ranked as the **#1 trending repo on GitHub**!\n\n![uploaded image](/media/?type=post&id=87467&key=user_uploads/137575/79a6fb56-14c8-4c1e-b815-9261e651199a)\n\n### **Use Onlook**\n\nYou can get started today by [downloading Onlook](http://onlook.com/download?utm_source=launch_yc&utm_medium=social&utm_campaign=yc_launch). \n\nPeople use Onlook for **prototyping ideas**, for **building their product**, and for **hosting their website**. Thanks to [Paratus Health](https://paratushealth.com/), [SalesPatriot](https://salespatriot.com/), [Calltree.ai](http://Calltree.ai), [NextByte](https://trynextbyte.com/), [Casixty](https://casixty.com/), [TrainLoop](https://trainloop.ai/), and [Scout](https://www.scoutforschools.com/) for being early partners and for using Onlook to build their sites and products! \n\n### **Asks**\n\n* **Try Onlook** out and reach out to us with your feedback and questions. We love when people send us screen recordings, written feedback, and ideas. Email Daniel – [daniel@onlook.com](mailto:daniel@onlook.com).\n* **Contribute** – Help us build the future of design and development tools! We have an active community of contributors from all over the world, and working on a design editor is very fun. Feel free to [browse our open issues and contribute](https://github.com/onlook-dev/onlook/issues), or [support the project with a star](https://github.com/onlook-dev/onlook/)! ⭐  \n* **Follow us** – We put out a lot of content in a lot of places:\n  * Join our [Discord community](https://discord.gg/ZZzadNQtns)\n  * Follow [Onlook on X](https://x.com/onlookdev)\n  * Follow [Onlook on LinkedIn](https://www.linkedin.com/company/onlook-dev/)\n  * Subscribe to [Onlook on YouTube](https://www.youtube.com/@OnlookDev)\n  * Subscribe to [Onlook on Substack](https://onlook.substack.com/) – we like sharing our learnings of building a company in detail here\n\nOnlook is building **the uncompromising design and development tool** – One familiar to designers and infused with AI to make excellent code that developers love.\n\nWith Onlook, we hope to empower anyone to make incredible websites, incredibly fast, and we can’t wait to see what you create!\n\n### **About Us**\n\n![uploaded image](/media/?type=post&id=87467&key=user_uploads/137575/a2562297-969e-420b-b563-adea12dea8be)\n\nOnlook is founded by Daniel Farrell ([LinkedIn](https://www.linkedin.com/in/danielrfarrell/)), a designer with a decade of design consulting experience, a first 100 Bird employee, and former Head of Growth at DIMO, and Kiet Ho ([LinkedIn](https://www.linkedin.com/in/kiet-ho/)), a former engineer at Amazon and ServiceNow.",
        "url": "https://www.ycombinator.com/launches/Mkl-onlook-cursor-for-designers",
        "votes": 71,
        "created_at": "2025-02-06T15:20:12.926Z"
      }
    ]
  },
  {
    "id": 30019,
    "name": "Avora",
    "slug": "avora",
    "former_names": [
      "ShowAndTell"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f9165440cbb8c969d63144d50dbb3c762d777035.png",
    "website": "https://www.getavora.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Avora helps dental groups (DSOs) boost case acceptance and institutionalize clinical excellence. We deploy agents that listen to appointments, identify coachable moments, and chart notes to save provider time.",
    "one_liner": "Agents for dental operations",
    "team_size": 4,
    "industry": "Healthcare",
    "subindustry": "Healthcare",
    "launched_at": 1732046929,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
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    "batch": "Fall 2024",
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        "location": "Berlin",
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        "location": "Berlin",
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        "role": "Engineering",
        "role_type": "Full stack",
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        "title": "Founder's Associate (Product)",
        "url": "https://www.ycombinator.com/companies/telli/jobs/9egRjvh-founder-s-associate-product",
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        "location": "Berlin/London",
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        "url": "https://www.ycombinator.com/companies/telli/jobs/gHKaTPZ-founders-associate-special-projects",
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        "type": "Full-time",
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      {
        "id": 85963,
        "title": "telli ☎️ outbound call automation for B2C companies",
        "tagline": "AI voice agents that convert leads into sales opportunities for B2C companies",
        "body": "# **TL;DR**\n\nHi all! we are [**Seb**](https://www.linkedin.com/in/sebhs/) (CTO), [**Finn**](https://www.linkedin.com/in/finnzurmuehlen/) (CEO), and [**Philipp**](https://www.linkedin.com/in/philipp-baumanns-a2986ab9/) (COO), building [**telli.com**](http://telli.com).\n\ntelli is building AI voice agents that convert leads into sales opportunities for B2C companies. For example, a leading home-buying platform is using telli to fully automate their pre-qualification.\n\n# **Problem**\n\nCompanies that sell complex products (e.g.  solar panels, mortgages, insurance) use warm outbound calls to drive sales conversion. Sales journeys with outbound calls perform MUCH better than online-only journeys!\n\nHowever, managing these calls has been complex and expensive:\n\n* Companies reach <50% of their warm leads on the phone\n* No quantitative insight into what drives conversion/revenue from calls\n* High cost (\\~55 USD per connected call hour)\n\n# **Solution**\n\n<https://youtu.be/7xjIwZf37-M>\n\ntelli is building the AI call automation platform for B2C companies. telli lets businesses:\n\n✔️ reach leads with a smart calling strategy and multi-modal approach (SMS)\n\n✔️ make human-like calls in multiple languages\n\n✔️ achieve clear outcomes like qualification, booking appointments, or direct transfers\n\n✔️ understand what’s going on in calls at scale\n\n# **Team**\n\n[**Philipp**](https://www.linkedin.com/in/philipp-baumanns-a2986ab9/) (COO), [**Seb**](https://www.linkedin.com/in/sebhs/) (CTO), [**Finn**](https://www.linkedin.com/in/finnzurmuehlen/) (CEO)\n\nFinn & Philipp ran the contact center operations for Enpal’s ($2.4bn energy installer in Europe) heat pump unit. Seb studied computer CS at Stanford and built software at Pitch.\n\n# **Interested?**\n\n* Book a call [here](https://cal.com/telli.ai/intro?date=2024-12-05&month=2024-12)\n* Reach out directly to [philipp@telli.so](mailto:philipp@telli.so)\n\n![uploaded image](/media/?type=post&id=85963&key=user_uploads/1162937/e2a415c8-42a1-42fc-b2e0-42406590e0d1)\n\n",
        "url": "https://www.ycombinator.com/launches/MMV-telli-outbound-call-automation-for-b2c-companies",
        "votes": 46,
        "created_at": "2024-12-01T22:31:34.422Z"
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    "name": "Streamable",
    "slug": "streamable",
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    "website": "https://streamable.run",
    "all_locations": "Los Angeles, CA, USA",
    "long_description": "https://streamable.run\r\n",
    "one_liner": "Powering the biggest IRL streamers today.",
    "team_size": 4,
    "industry": "Consumer",
    "subindustry": "Consumer",
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      "Social Media",
      "Live",
      "AI"
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    "regions": [
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      "America / Canada"
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    "year_founded": 2024,
    "city": "Los Angeles",
    "country": "US",
    "linkedin_url": "https://linkedin.com/company/streamablerun",
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      "name": "David Lieb",
      "url": "https://www.ycombinator.com/people/david-lieb"
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      {
        "user_id": 1119010,
        "full_name": "Nang Ang",
        "title": "Founder/CEO",
        "founder_bio": "coding https://www.nang88.com",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/nathanang",
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        "user_id": 835644,
        "full_name": "Manav Bokinala",
        "title": "Founder",
        "founder_bio": "making irl streaming awesome",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/mbokinala/",
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      {
        "id": 89461,
        "title": "Growth / Marketing / Social Media Intern ",
        "url": "https://www.ycombinator.com/companies/streamable/jobs/Q0tIIWh-growth-marketing-social-media-intern",
        "location": "San Francisco, CA, US / Remote (San Francisco, CA, US; New York, NY, US)",
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        "title": "Design / UX Internship",
        "url": "https://www.ycombinator.com/companies/streamable/jobs/IbXxmgg-design-ux-internship",
        "location": "San Francisco, CA, US / Remote (US)",
        "type": "Internship",
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        "role_type": "UI / UX",
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      {
        "id": 93125,
        "title": "Short-Term Design Contractor (Product Design + Brand Kit)",
        "url": "https://www.ycombinator.com/companies/streamable/jobs/e6pgefZ-short-term-design-contractor-product-design-brand-kit",
        "location": "Remote (US)",
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        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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        "id": 94201,
        "title": "Social Media / Growth Intern (Remote)",
        "url": "https://www.ycombinator.com/companies/streamable/jobs/yfmkPYC-social-media-growth-intern-remote",
        "location": "Los Angeles, CA, US / Remote (US)",
        "type": "Internship",
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    "launches": [
      {
        "id": 85482,
        "title": "Streamable 🔵 Never IRL Stream with Issues Again.",
        "tagline": "Powering the biggest IRL streams today",
        "body": "# **TL;DR:**\n\nStreamable makes sure many of the biggest IRL streams stay alive under poor network conditions.\n\n# **The Main Problem:**\n\nWithout [Streamable.run](http://Streamable.run), streamers that stream outside and encounter poor network conditions, will disconnect from Twitch or Kick. Their stream will end, and their thousands of viewers get kicked from the stream. By the time they reconnect, most of their viewers have gone on to do something else.\n\nNang, being a streamer himself and being friends with many streamers, felt these issues firsthand and knew that all IRL streamers were frustrated with the current solutions available.\n\n# **The Solution**\n\nCloud Hosted Streaming Servers. Our product sits in between the streamer and the streaming platform, which allows for a clean solution to many problems IRL Streamers face:\n\n🔵 100% Stream Drop Protection: When a streamer encounters poor network conditions when streaming IRL, our system automatically switches their screen to display their most popular clips and let the viewers know that connection has been lost and that the streamer will be back soon. \n\n🔵 Remote Stream Management: Bigger streamers have remote teams that are not necessarily at the streaming location. The streaming server allows team members and moderators to edit and manage the stream from anywhere in the world.\n\n🔵 Switch without ending stream: Without Streamable, streamers only have one input to their stream, causing them to need to end the stream in order to switch cameras (for example, switching from Desktop camera to IRL phone camera). With Streamable, they can switch cameras while livestreaming with a press of a button in our UI.\n\n🔵 Collab Stream: Streaming platforms accept one input to the stream, making it impossible for streamers to share the same camera feed when collaborating. Streamable allows streamers to share inputs with other streamers with on-platform friend requests, so that all streamers can share the same camera easily.\n\n# **Progress So Far:**\n\nIn the past 3 months, we’ve gotten a stable product that is the best on the market. We are also powering many of the biggest streamers and working with production teams for Adin Ross’ Brand Risk, Sperm Racing, FaZe Clan, EdwardKSo, etc. \n\nThrough working with these streamers, we’ve discovered that the IRL streaming industry is growing extremely fast, has very underrated cultural relevance, and is currently extremely underserved. We believe streamers deserve so, so much better, and that’s what we’re here to do, starting with this first product!\n\n# **ABOUT US:**\n\n🔵 Nang Ang is a top Twitch streamer in the Software & Game Development category and has a B.S.&M.S @ CMU in Computer Engineering. He has been sharing his startup and entertiaing projects on Youtube and Twitch, and has grown a community of over 200k followers and 30 million total views on social media.\n\n🔵 Manav Bokinala has built across infrastructure, AI, and consumer products — from co-founding an AI-powered app builder, to architecting distributed systems for an AI GTM platform, to shipping a consumer social app. He's now focused on solving the hardest problems in live streaming infrastructure.\n\n# **Our Ask:**\n\nIf you IRL stream or know any IRL streamers - check Streamable out at <https://streamable.run>! We’re sure you’ll love it\n\n# **More Links if you’re interested:**\n\nFollow Streamable on X: <https://x.com/streamabledotrun>\n\nFollow Streamable on Instagram: [https://instagram.com/streamabledotrun](https://x.com/streamabledotrun)\n\nJoin our Discord: <https://discord.gg/pb8ynsztYB>\n\n![uploaded image](/media/?type=post&id=85482&key=user_uploads/1119010/b1d5c5ca-f339-46ab-a55c-d8c794d10017)\n\n",
        "url": "https://www.ycombinator.com/launches/MEk-streamable-never-irl-stream-with-issues-again",
        "votes": 334,
        "created_at": "2024-11-12T20:29:31.966Z"
      },
      {
        "id": 85406,
        "title": "vly.ai - automated full-stack web development",
        "tagline": "The easiest way to create custom full-stack software without writing code",
        "body": "**tl;dr -** [vly.ai](http://vly.ai) makes your entire team technical. We use expert insights & automation to deliver apps that grow faster & perform better, at 10x less cost.\n\n<https://youtu.be/M4QcpDVFR2c>\n\n# **Our ask:**\n\nShare us ([www.vly.ai](https://www.vly.ai)) with people you know who need a custom web application (CRM, customer dashboard, etc)!\n\n# **The Problem: Traditional web development is slow and expensive**\n\n* Time-consuming with high hourly fees\n* Hiring and maintaining a technical team is costly\n* Long wait times for updates and launches\n* Hard to deliver custom features quickly\n\n# **Our Solution**\n\n### Experts guide you through development, delivery, & growth\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXddUe6HBnTLfPh_Hylgm9XvCTeATPL2dVc0Y6w_vAMZzWKMuk3nwVLenxnU0vubXyNOy5CaCO1lLF-NfmcGlhnh_HAEHHrpjiE-UDDccTz7s6oVEJUWp56ZnDdeZolEFaCRIytQCQ?key=Rofjj3L0nHor8aOdKiEi1VVm)\n\nWhile typical tools provide no guarantees on solving your issues, we sit down with you to ensure your vision is delivered. Our industry knowledge provides you with a significant advantage over competitors taking on the risk.\n\n### End-to-end automation of the dev process, verified & tested by humans\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXdV4fwJz5dYAaB0in3xe9vz8fKvNSeImjxjYvpgRSvDJyIEDpRLh3piPSHifLjxhvE4HMKSdyU8sxNd9ce20lA0bXsv0PUx93NFri0p5EH498-i_O_VRgmrv5HCTD1jU_uRnHZdMg?key=Rofjj3L0nHor8aOdKiEi1VVm)\n\nWe use a series of LLM agents to do the heavy lifting of the development process, to ensure your product is delivered faster & reliably. Our experts also review & test the results alongside you.\n\n### A no-code platform to visually understand your application\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeC4D_XnRcW4V8fWfeRSGxPePWD9cr02esFFuTmxcFNntnneaQWauOaRd310Ct8rin9PAnoEb25CAc9rs_wemeLX9IScwecPtFshELeTy1A373G03vNU2U1VfXE9wf-PkNwi0PeTg?key=Rofjj3L0nHor8aOdKiEi1VVm)\n\nWe go beyond solely writing pure code by building a visual representation of your entire project context, allowing you to easily scale the complexity of your application.\n\n### A point-&-click tool to make changes instantly\n\n![uploaded image](/media/?type=post&id=85406&key=user_uploads/1357897/0d4ea8a6-c777-49f1-819a-f5ba0ad40821)\n\nWe provide an effortless way for people who can’t code to make simple changes quickly. Not a broad back-and-forth chat, but a very simple “click and describe” interface to let you get specific about what you want.\n\n# **The Result**\n\nEffortlessly ship your product and iterate on new features, at 90% faster speeds and 10x lower costs.\n\n# **Why are we solving this problem?**\n\n[Victor](https://www.linkedin.com/in/victor-cheng-89a161180/), [Manav](https://www.linkedin.com/in/mbokinala/), and [Amir](https://www.linkedin.com/in/theamirfarahani/) came together to build [vly.ai](http://vly.ai) after exiting their own software companies, and needing a solution to launch more at a faster pace. [vly.ai](http://vly.ai) was born to create production-ready software products at breakneck speed.\n\n# FAQ\n\n\\*\\*What if we have an existing system?\\*\\*\\\nWe can integrate with your database and backend API!\n\n\\*\\*Is this for internal tools or customer-facing products?\\*\\*\\\nWe build both consumer-facing tools as well as internal dashboards & automations\n\n\\*\\*What if I don’t want to spend time learning & integrating a new system?\\*\\*\\\nThat’s the magic; we set it up for you, and if you ever need to make changes, you just need to point & click through our no-code platform.\n\nWe’re not just a tool; we’re a service that will ensure that you will never have to worry about web software again.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeafSaZqx06izRuiDnZLPPdwABcwrt0xdcL_thyQ1ja-cDKGHlu20JTcwLsvC0TKQ4DDMzlOMJWfLdtNmIOYdFKVE4Qmzo90PnmsXvVYNjg1DwyQtYT4HlFYZBlVfTGtjQMJjlHDA?key=Rofjj3L0nHor8aOdKiEi1VVm)\n\n",
        "url": "https://www.ycombinator.com/launches/MDW-vly-ai-automated-full-stack-web-development",
        "votes": 95,
        "created_at": "2024-11-08T23:01:47.830Z"
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    "id": 30027,
    "name": "Durate",
    "slug": "durate",
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    "website": "https://www.durate.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Durate helps physician groups, clinics, and hospitals eliminate coverage gaps and create personalized schedules. Our platform auto-syncs with existing systems and uses smart automation to build optimized physician schedules in seconds.",
    "one_liner": "Self-running physician scheduling",
    "team_size": 3,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Healthcare IT",
    "launched_at": 1728392131,
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      "Healthcare IT"
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    "batch": "Fall 2024",
    "status": "Active",
    "industries": [
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/durate",
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    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
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    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
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    "founders": [
      {
        "user_id": 1617168,
        "full_name": "Michael Mounajjed",
        "title": "Founder/CEO",
        "founder_bio": "Rice CS / Applied Math dropout now building automation software for hospital administrators at Durate",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/michael-mounajjed",
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        "user_id": 1734388,
        "full_name": "Benjamin Liu",
        "title": "Founder/COO",
        "founder_bio": "Automating back-office admin tasks for hospitals, ex-Rice CS",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ben-franklin-liu/",
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      {
        "id": 116544,
        "title": "Founding Full Stack Engineer",
        "url": "https://www.ycombinator.com/companies/durate/jobs/IxpQj2P-founding-full-stack-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $160K",
        "equity_range": "0.50% - 1.50%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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    "launches": [
      {
        "id": 85374,
        "title": "Durate - Automated hospital scheduling and management",
        "tagline": "We turn hundreds of hours of hospital planning into seconds.",
        "body": "# **TL;DR: It’s time for administrative software in hospitals to change**\n\nAdministrative tasks like scheduling consume extremely valuable time in hospital departments and clinics, diverting focus from patient care.\n\nDurate automates these back-office operations with a customizable solution, saving healthcare administrators and providers—including chief residents, doctors, and fellows—hundreds of hours. This allows them to concentrate on what matters most: delivering exceptional patient care.\n\n# **The Problem:** _\"Wait, I thought I'd be saving lives—not excel files?!\"_\n\nDoctors spend almost 20% of their working hours (and plenty more in additional hours) doing administrative work. We saw this first-hand with our parents and siblings who are doctors that devoted their lives to help people only to spend a large percentage of their time in Excel.\n\nThis inefficiency stems from a gap in healthcare software. While modern solutions heavily focus on hospital-patient interactions, they often neglect a connection just as important: the relation between the hospital to provider. Because of the dozens of rules and regulations, in addition to the lack of effective tools, providers are forced into doing complex back-office tasks that consume valuable time and energy.\n\n# **The Solution:**\n\n<https://youtu.be/MQqcWuxvdio>\n\n(Note: our previous name was Docflow)\n\nAfter initially starting at Harvard’s Psychiatry Residency program, Durate has been able to handle dozens complex rules, regulations, and program-specific information to safely create the most efficient program schedules. This centralized source of truth is vital for providing critical information to administrative tasks such as managing graduation requirements, processing payroll, ensuring compliance, and much more. By streamlining these processes, Durate empowers programs to operate more efficiently and focus on what truly matters—delivering incredible patient care.\n\nHere’s some more ⬇️\n\n**Customizable, Simple, and Intelligent Software:**\n\nWith AI, we’re able to add a layer of customizability in administrative software not previously seen before. Now, when you want to factor in John, who loves working Friday shifts, or Mary who is on Maternity leave — or any of the various things your previous software just could not understand (by anything, we truly mean anything) — Durate can do that with ease in just plain English.\n\n![uploaded image](/media/?type=post&id=85374&key=user_uploads/1617168/cd2cee17-4516-4135-8a20-3d04705db4aa)\n\nDurate is a simple solution for hospital’s most complex problems.\n\n![uploaded image](/media/?type=post&id=85374&key=user_uploads/1617168/69656061-f787-45c1-9db9-40f64b948efd)\n\n# **Moving Forward:**\n\nAlthough we initially focused on scheduling for residency programs, our main goal is to tackle as much complexity as possible in administrative work. We believe we can fundamentally transform extremely complex administrative tasks, allowing software to handle the work for you with ease.\n\n# **Our Team**\n\nMichael and Ben met during their first few weeks at Rice University where they lived, built software, and studied applied mathematics and computer science together before deciding to drop out.\n\n![uploaded image](/media/?type=post&id=85374&key=user_uploads/1617168/2d31980c-009e-44a5-8b0e-1b4a147b5084)\n\n[**Michael**](https://www.linkedin.com/in/michael-mounajjed/) - Michael grew up in Madison, WI—the headquarters of the largest medical software company in the US—born to two physician parents and grew up hearing about its shortcomings. His mom works in the internal medicine residency program at the University of Wisconsin-Madison. Michael founded his first company, Calceus Mining, in high school, building and optimizing Ethereum rigs which went on to process tens of millions of dollars in transactions. He was inducted into Wisconsin’s Business Hall of Fame at 16 years old.\n\n[**Ben**](https://www.linkedin.com/in/ben-franklin-liu/) - Ben’s sister is a chief resident at Cambridge Health Alliance, dedicating extensive time to scheduling residents. As the former president of Rice’s largest software engineering group, Ben has years of experience building automation products seen and used by hundreds of thousands of people.\n\n# **Our ask (and offer):**\n\nScheduling and administrative work aren’t relevant to just one kind of provider. We’re looking to connect with anyone in medicine who handles administrative tasks such as physician scheduling, payroll, or accreditation. This typically includes professionals working in institutions like:\n\n1. **Hospitals**\n2. **Nursing Homes & Agencies**\n3. **Private Clinics**\n4. **Residency Programs**\n5. **Outpatient Facilities**\n6. **Locum Tenens Agencies**\n\nIf that sounds like you, feel free to reach us at [founders@durate.com](https://mailto:founders@durate.com)!\n\n* **Sign up here:** [**Link here**](https://www.surveymonkey.com/r/ZJ98PJR)\n* **Share this post! -** Know anyone in healthcare who’s overwhelmed with administrative work (nurses, doctors, residents, etc.)? Let them know about us!\n* **Book a demo:** [**Link here**](http://cal.com/michael-mounajjed-dmt5wn/)\n* **Follow us on** [**LinkedIn**](https://www.linkedin.com/company/docflowsoftware/)\n* **Learn more at** [**durate.com**](https://www.durate.com)",
        "url": "https://www.ycombinator.com/launches/MD0-durate-automated-hospital-scheduling-and-management",
        "votes": 44,
        "created_at": "2024-11-08T04:28:26.847Z"
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  },
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    "id": 30029,
    "name": "Moonset Health",
    "slug": "moonset-health",
    "former_names": [
      "Summed AI"
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    "website": "https://www.moonsethealth.com/",
    "all_locations": "Seattle, WA, USA",
    "long_description": "",
    "one_liner": "AI for Post-Acute Senior Care (Hospice, Home Health, Skilled Nursing…",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B -> Sales",
    "launched_at": 1731882747,
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    "isHiring": true,
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    "batch": "Fall 2024",
    "status": "Active",
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    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
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    "url": "https://www.ycombinator.com/companies/moonset-health",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/moonset-health.json",
    "year_founded": 2024,
    "city": "Seattle",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/summed-ai/",
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      "name": "Pete Koomen",
      "url": "https://www.ycombinator.com/people/pete-koomen"
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    "founders": [
      {
        "user_id": 2208571,
        "full_name": "Tyler Rich",
        "title": "Founder/CEO",
        "founder_bio": "Building Moonset Health",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/tylerrich",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bc4caedd0c93316534ca1608295a1a476ee7a73b.jpg"
      },
      {
        "user_id": 109113,
        "full_name": "Kevin Bao",
        "title": "Founder/CTO",
        "founder_bio": "kevinbao.com",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/kevin-bao/",
        "x_url": "https://x.com/kzbao",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/44a7d3ba89c5b9eae83dec8dcc7e2270d45aebbd.jpg"
      },
      {
        "user_id": 2217997,
        "full_name": "Sherril Wang",
        "title": "Founder/CPO",
        "founder_bio": "CPO at Moonset Health.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/sherrilwang",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6a20c26f2fa60b6fd90a5c80da27e4e1a48881b9.jpg"
      }
    ],
    "jobs": [
      {
        "id": 93706,
        "title": "Founding CX Lead",
        "url": "https://www.ycombinator.com/companies/moonset-health/jobs/caUoiCh-founding-cx-lead",
        "location": "Seattle, WA, US",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$100K - $140K",
        "equity_range": "0.10% - 0.30%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [],
    "launches": []
  },
  {
    "id": 30030,
    "name": "Candle",
    "slug": "candle",
    "former_names": [
      "Encore",
      "Encore AI Labs",
      "Encore",
      "Candle - Couple Games & Photos"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c680b57e2e4b0d17f51d2d49aeccea3dd96748e0.png",
    "website": "https://www.trycandle.app/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Most relationships, romantic or platonic, don’t end in one moment, they drift apart over time. Missed check-ins, surface-level conversations, busy lives, and routines replace real connection. Candle helps couples and friends stay close through 1-minute daily rituals that bring back presence, play, and curiosity.\r\n\r\nCandle gives couples and friends a daily, low-pressure game designed to create emotional momentum: the most essential, and often most neglected, ingredient in long-term connection.\r\n\r\nWhat started as a swipeable questions game has grown into a full platform and private space for your relationship:\r\n\r\n- Daily Prompts & Games: Thoughtful, funny, and unexpected questions, couple quizzes, audio and photo challenges that update and adapt monthly\r\n\r\n- Shared Canvas Widget: Leave notes, doodles, or drawings right on each other’s home screen\r\n\r\n- Now in beta: Date Ideas Swiping**: Get 60 curated date ideas based on your area (yes, even San Francisco :)), updated weekly. Swipe to match on what you both want to try. From pop-up events to hidden gems, it’s the easiest way to try something new together or even with friends or family! We’d love feedback here!\r\n\r\n- Streaks & Shared Progress — Build accountability and a shared rhythm\r\n\r\n- Adaptive Decks: Smarter, more relevant questions over time\r\n\r\n- Shared Photo Albums & Memories: Keep track of all your photos and logged memories\r\n",
    "one_liner": "Candle helps friends and couples grow closer daily in just 5 minutes.",
    "team_size": 2,
    "industry": "Consumer",
    "subindustry": "Consumer",
    "launched_at": 1731102747,
    "tags": [
      "Consumer",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Fall 2024",
    "status": "Active",
    "industries": [
      "Consumer"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/candle",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/candle.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/encore-ai-labs",
    "x_url": "https://x.com/trycandleapp",
    "fb_url": "https://www.instagram.com/candlecouples/",
    "cb_url": "https://www.crunchbase.com/organization/encore-e27b",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c680b57e2e4b0d17f51d2d49aeccea3dd96748e0.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Pete Koomen",
      "url": "https://www.ycombinator.com/people/pete-koomen"
    },
    "founders": [
      {
        "user_id": 342376,
        "full_name": "Alex Ruber",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder, CEO @ Encore, building design-first consumer AI products that help people build better habits\n\nEx iOS/Arch Engineer @ Apple\nEx Flight Systems/Sequencing Engineer @ NASA JPL\n\nNon-technical hobbies: soccer, surfing, art, F1",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/alex-ruber",
        "x_url": "https://x.com/alex_ruber",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2479bb764debcdd78912a2c73500e35a0a886bd7.jpg"
      },
      {
        "user_id": 289569,
        "full_name": "Parth Chopra",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder & CTO of Encore - building for the future generation of consumer AI. Prior to this, worked on ads relevance & ranking @ Twitter, and architected changes to the sharing/permissions framework @ Asana.\n\n\nHobbies: math, thrifting, discovering new music, 3B1B youtube videos, cutting hair",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/parthematics",
        "x_url": "https://x.com/parthematics",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/dbe033d7e6c2db165551f653ff2c3014e7b4b6fa.jpg"
      }
    ],
    "jobs": [
      {
        "id": 80438,
        "title": "Software Engineering Intern (Summer 2026)",
        "url": "https://www.ycombinator.com/companies/candle/jobs/VvOMLDD-software-engineering-intern-summer-2026",
        "location": "San Francisco, CA, US",
        "type": "Internship",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$6.5K - $9K / monthly",
        "equity_range": "",
        "experience": null,
        "visa": "US citizen/visa only",
        "skills": [
          "Amazon Web Services (AWS)",
          "React Native",
          "TypeScript",
          "Distributed Systems",
          "Software Architecture"
        ]
      },
      {
        "id": 90422,
        "title": "Core Product Designer",
        "url": "https://www.ycombinator.com/companies/candle/jobs/kln3UF3-core-product-designer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Design",
        "role_type": "Product design",
        "salary_range": "$170K - $260K",
        "equity_range": "0.10% - 0.50%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Prototyping",
          "Figma"
        ]
      },
      {
        "id": 95982,
        "title": "Growth Lead – Creator Program & Paid Social",
        "url": "https://www.ycombinator.com/companies/candle/jobs/AzINRDn-growth-lead-creator-program-paid-social",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$130K - $180K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "We Built a Million-Dollar App After 5 Flops. Here's Our Playbook. - Business Insider",
        "url": "https://www.businessinsider.com/y-combinator-startup-founder-million-dollar-idea-biggest-mistake-pivots-2026-6",
        "date": "Jun 03, 2026"
      },
      {
        "title": "These YC founders pivoted 5 times before building a social app that nabbed 300K users and over $1M ARR in 6 months | TechCrunch",
        "url": "https://techcrunch.com/2025/09/24/these-yc-founders-pivoted-5-times-before-building-a-social-app-that-nabbed-300k-users-and-over-1m-arr-in-6-months/?utm_campaign=social&utm_source=X&utm_medium=organic",
        "date": "Sep 24, 2025"
      },
      {
        "title": "I tried a free AI clothing search tool, and it makes online thrift shopping much easier | ZDNET",
        "url": "https://www.zdnet.com/article/i-tried-a-free-ai-clothing-search-tool-and-it-makes-online-thrift-shopping-so-much-easier/",
        "date": "Dec 05, 2024"
      },
      {
        "title": "Encore’s AI-Powered Site Helps You Shop for Vintage and Secondhand Items | WIRED",
        "url": "https://www.wired.com/story/encore-ai-powered-search-vintage-secondhand-shopping/",
        "date": "Dec 04, 2024"
      },
      {
        "title": "Encore is an AI-powered search engine for your thrifting needs | TechCrunch",
        "url": "https://techcrunch.com/2024/11/10/encore-is-an-ai-powered-search-engine-for-your-thrifting-needs/",
        "date": "Nov 10, 2024"
      }
    ],
    "launches": [
      {
        "id": 93206,
        "title": "Candle — The Duolingo for Relationships",
        "tagline": "Candle is a game that helps couples and friends connect more through thoughtful prompts, mini games, photo challenges, and shared streaks, in <5 minutes a day.",
        "body": "**The Problem**\n\nNearly 50 percent of relationships end in a breakup or divorce. For the 140 million couples in the US, daily connection is getting harder, not because of a lack of love, but because of emotional drift, missed communication, and growing incompatibility. Careers, social media, and the relentless pace of life turn quality time into background noise. And this problem will only increase for the next generation of couples and friends.\n\nWe believe most relationships don’t end suddenly. They slowly fade from a lack of consistent emotional connection.\n\n**The Solution**\n\nCandle is a private space for couples or friends to connect every day, simply and intentionally.\n\nWhat started as a swipeable question game has evolved into a full platform:\n\n• Daily Prompts and Games: Rotating questions, quizzes, audio, and photo prompt challenges!\n\n• Local Date Ideas and Events: 60 curated ideas that refresh every week, usable anywhere in the world and on any date range!\n\n• Canvas and Countdown Widgets: An interactive way to leave notes, doodles, drawings, and status updates directly on each other's home screens, a playful way to stay connected even when you're apart. Set countdowns directly on your home screen for when you see each other next, trips, dates, and more.\n\n• Streaks and Progress: Reward streaks through small daily or weekly moments of connection together\n\n• Adaptive Decks: Personalized, smarter questions over time\n\n• Shared Albums and Memories: A visual log of your relationship\n\nWhether long distance or living together, Candle helps people create daily emotional momentum, the often overlooked key to long-term connection.\n\nYouTube Launch Video:\n\n[**https://www.youtube.com/watch?v=9PHArmvw4qw**](https://www.youtube.com/watch?v=9PHArmvw4qw)\n\n**Since launching our beta 5 months ago!**\n\n**We’re currently at:**\n\n• 110k MAUs\n\n• 46k DAUs\n\n(active = someone who’s completed a card connection with their partner)\n\n**The Team**\n\nParth (ex Asana, ex Twitter engineer) and I, Alex (ex iOS/Architecture at Apple, ex flight systems at NASA), have been friends for quite a while and have built multiple projects together, including shopencore.ai, a tool to search across hundreds of resale sites in one place.\n\nCandle is the result of everything we learned during our long stretch of pivots and side projects. It’s the first thing we’ve built that people not only use, they come back to daily, and a core problem that we’ve faced ourselves. That’s what makes us excited to keep going :)\n\n**Links**\n\n**• Download the app! —&gt; [https://www.trycandle.app](https://www.trycandle.app/)**\n\n• Join the Community: r/candleapp ([https://www.reddit.com/r/candleapp)](https://www.reddit.com/r/candleapp/\\)%5C)\n\n• Follow the journey: [https://www.instagram.com/candlecouples](https://www.instagram.com/candlecouples/)\n\n• Support email: [support@trycandle.app](mailto:support@trycandle.app)\n\n![uploaded image](/media/?type=post&id=93206&key=user_uploads/342376/f7d11824-0d56-46ca-b702-4d1932653149)\n\n",
        "url": "https://www.ycombinator.com/launches/OFK-candle-the-duolingo-for-relationships",
        "votes": 55,
        "created_at": "2025-08-20T21:28:22.854Z"
      },
      {
        "id": 85412,
        "title": "🪄👗 Encore – The Perplexity for Online Shopping ",
        "tagline": "Discover, curate, and elevate your shopping experience with hidden gems from across the internet.",
        "body": "**TLDR**: Encore is your all-in-one shopping assistant for discovering secondhand gems. We make it easy to find unique treasures from across the internet. With our conversational search engine, you can seamlessly browse and refine your search across hundreds of resale platforms like Depop, eBay, Grailed, Poshmark, and more. Get inspired, follow product influencers, read unbiased reviews, receive styling tips, learn about trends, and even find items inspired by TV shows, movies, or social media—all in one place.\\\n\\\nTry it today: [**www.shopencore.ai**](https://www.chat.shopencore.ai/)\n\n![uploaded image](/media/?type=post&id=85412&key=user_uploads/342376/ac61d819-2a0c-4359-8d8f-da9a5d3b9a22)\n\n### \n\n---\n\n### **✨ The Future of Online Shopping**\n\nAt Encore, we see shopping as an experience that flows naturally, allowing you to start broad, zoom into specifics, or expand to new ideas as you explore. One moment, you’re looking for Rat and Boa dresses; the next, you're after Cartier jewelry and Manolo Blahnik kitten heels to match. This ever-changing experience is where a conversational medium shines. The future of search and discovery in shopping will be a place where you have a personal, 24/7 shopping assistant—and not like those annoying ones you find in stores that push you to buy things, but a guide who senses what you like, adapts seamlessly to your shifts in taste, and offers thoughtful recommendations and inspiration until you find something you truly love.\\\n\\\nOur vision is for everyone to have a personal shopping expert that feels like an extension of yourself, helping you find hidden treasures effortlessly. Eventually, Encore will be able to take care of sourcing and shopping tasks on your behalf, making the experience even more seamless and personalized.\n\n<https://www.youtube.com/watch?v=nD7YIGvNa08>\n\n### \n\n### **🎨 Core Features**\n\n**Encore Chat** (Your personal shopping assistant): Ask Encore for inspo, product recs, unbiased reviews, styling tips, trends, and even find items inspired by TV shows, movies, or social media—all in one place. Eventually it will be able to carry out actions as well.\n\n![uploaded image](/media/?type=post&id=85412&key=user_uploads/342376/fd3e7447-217a-4161-9f0a-96f5678267bb)\n\n**FYP (For You Page):** Curated, one-of-a-kind finds from across the internet—tailored to your style. Refreshes daily. Unlike traditional feeds tied to one brand, Encore’s FYP pulls in items from a variety of categories—fashion, furniture, collectibles, books, electronics, and more—with fresh recommendations every day.\n\n![uploaded image](/media/?type=post&id=85412&key=user_uploads/342376/037e8a01-6b9b-4622-a762-532d651046f7)\n\n**Curated Boards:** Under trending items, you can find curated collections to help you get inspiration! We'll soon be giving Encore users the chance to submit their own collections. This allows us to lean more into community and discovery driven side of shopping\n\n![uploaded image](/media/?type=post&id=85412&key=user_uploads/342376/750675ae-334b-4dc4-9b4a-32665d037563)\n\n---\n\n### \n\n---\n\n---\n\n### **👋 Team**\n\n![uploaded image](/media/?type=post&id=85412&key=user_uploads/342376/b63b4f7c-19b2-4e4f-8b68-f9fef9f7a4a2)\n\nWe’re Parth and Alex.\n\n[Parth](https://www.linkedin.com/in/parthematics/) is a Berkeley EECS alum and has experience in search and ads ranking at Twitter, and most recently led a product engineering team at Asana. \n\nI ([Alex](https://www.linkedin.com/in/alex-ruber/)) was an architecture software engineer at Apple in the Hardware Division and previously worked as a flight software engineer at NASA JPL on the InSight and Juno Missions.\n\nOur shared passion for shopping, tech, and building meaningful consumer experiences led us to build Encore, bringing the thrill of finding unique treasures to the resale market and making secondhand shopping feel as exciting as buying new. \n\n---\n\n### \n\n### **🤝 Quick Ask**\n\n* Feedback: If you have 10 minutes to chat with us about anything related to Encore, thoughts, advice, feedback, intros to creators/shopping influencers, or anything else please book a time here with us! <https://cal.com/encore/15min>\n\n  As a thank-you, we’ll offer two free months of Encore Pro for helping us refine the experience.\n* You can follow us on [Twitter](https://x.com/shopencoreapp) and [Linkedin](https://www.linkedin.com/company/encore-ai-labs). [You can also join our community on Discord](https://discord.com/invite/Xesc8Q9D7Y). \\\n  \\\n  Our DMs/Emails are always open :)\n\n \n\n**Try Encore today at **[**www.shopencore.ai**](https://www.chat.shopencore.ai/)**!** Curious what we’ve got our eyes on? Check out our curated favorites (my [favorites](https://www.chat.shopencore.ai/favorites/115825083761151170559) + Parth’s [favorites](https://www.chat.shopencore.ai/favorites/1c30e0dd-6237-44c4-957b-7d526d1ec7a2))!\n\n✨ _Pro tip: Encore is perfect for finding last-minute vintage ugly sweaters this Christmas or unique holiday gifts!_",
        "url": "https://www.ycombinator.com/launches/MDc-encore-the-perplexity-for-online-shopping",
        "votes": 203,
        "created_at": "2024-11-10T14:59:11.782Z"
      }
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    "id": 30033,
    "name": "Openbenchmarks",
    "slug": "openbenchmarks",
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    "website": "https://openbenchmarks.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Openbenchmarks runs open, independent benchmarks across APIs, vendors and tools. \r\nHelping teams fairly evaluate vendors.\r\n\r\nWe offer private benchmarking & analytics tools to help you measure your product against competitors, see exactly where you fall short, and fix it.",
    "one_liner": "We help humans & agents pick tools via Independent Benchmarks",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Marketing",
    "launched_at": 1728361776,
    "tags": [
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      "B2B",
      "SEO",
      "AI"
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    "isHiring": true,
    "nonprofit": false,
    "batch": "Fall 2024",
    "status": "Active",
    "industries": [
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      "Marketing"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/openbenchmarks",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/openbenchmarks.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/openbenchmarks",
    "x_url": "https://x.com/openbenchmarks",
    "fb_url": null,
    "cb_url": null,
    "github_url": "https://github.com/openbenchmarks-labs",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/fba2fe192898aad8d25d7bcb8cef6e121485b633.png",
    "app_video_url": null,
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    "company_photos": [
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    ],
    "primary_partner": {
      "name": "David Lieb",
      "url": "https://www.ycombinator.com/people/david-lieb"
    },
    "founders": [
      {
        "user_id": 858828,
        "full_name": "Fenil Suchak",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder at Openbenchmarks - to help customers sell to Agents.\n\nPrev: Co-Founder at OpenFunnel - helped customers sell to Humans",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/fenilsuchak",
        "x_url": "https://x.com/fenilsuchak",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1826d9f2aed0f9dcbb91b0f151e5b872bda40eab.jpg"
      },
      {
        "user_id": 1631833,
        "full_name": "Aditya Lahiri",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder of Openbenchmarks\nPreviously, I built AI Agents for Leasing in PropTech, did Graduate Research on Controlled Generation of Large MultiModal Models and Shapley values, and helped build distributed large-scale Machine Learning Models at American Express AI Labs.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/adityalahiri",
        "x_url": "http://x.com/cross_entrippy",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3f6e7a410e84b0f2d142a9e6ff1edf0d092358cf.jpg"
      }
    ],
    "jobs": [
      {
        "id": 95455,
        "title": "Founding Engineer (AI + Backend)",
        "url": "https://www.ycombinator.com/companies/openbenchmarks/jobs/j6hc4eQ-founding-engineer-ai-backend",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$100K - $120K",
        "equity_range": "0.30% - 0.80%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 108191,
        "title": "Founding GTM",
        "url": "https://www.ycombinator.com/companies/openbenchmarks/jobs/kIN6a4q-founding-gtm",
        "location": "IN / Remote (IN)",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$30K - $37K",
        "equity_range": "0.20% - 0.60%",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 109689,
        "title": "Founding GTM",
        "url": "https://www.ycombinator.com/companies/openbenchmarks/jobs/gqlxWMe-founding-gtm",
        "location": "US",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$100K - $150K",
        "equity_range": "0.20% - 0.60%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "How Reasoning Models Are Killing Traditional Search",
        "url": "https://www.forbes.com/councils/forbestechcouncil/2025/07/02/how-reasoning-models-are-killing-traditional-search-and-why-thats-great-news/?utm_campaign=Social%20Member%20Articles&utm_content=337302161&utm_medium=social&utm_source=twitter&hss_channel=tw-3291010518",
        "date": "Jul 06, 2025"
      },
      {
        "title": "The Internet Is Your Database: How Research Agents Are Changing GTM",
        "url": "https://www.forbes.com/councils/forbestechcouncil/2025/06/20/the-internet-is-your-database-how-research-agents-are-changing-gtm-forever/",
        "date": "Jun 20, 2025"
      },
      {
        "title": "From SaaS To RaaS: How AI Agents Are Redefining Software",
        "url": "https://www.forbes.com/councils/forbestechcouncil/2025/04/23/from-saas-to-raas-how-ai-agents-are-redefining-software/",
        "date": "Apr 23, 2025"
      }
    ],
    "launches": [
      {
        "id": 94200,
        "title": "OpenFunnel: Search Engine for GTM",
        "tagline": "We monitor your TAM and surface companies when custom triggers fire.",
        "body": "### The Problem:\n\n**GTM search is broken.**\n\n**LLMs over commoditized GTM Databases won’t fix it.**\n\nhttps://www.youtube.com/watch?v=W9OZ5_KJN5A\n\n**\"B2B SaaS, 501-1000 employees, uses Salesforce\"** is just targeted spam.\n\nNo insights. No buying signals. No understanding of pain. Plus, data for growing markets aren't even present in these databases.\n\nOne-time snapshots. No timing. No triggers when pain surfaces. Your competitors have the same database. Everyone's spamming the same channels.\n\nYou need 24×7 searches capturing insights as they happen - not after they're stale.\n\nTraditional Intent data is a blackbox and unreliable.\n\nOnly Inbound dependence is a reactive approach and prospects are already evaluating competitors by that time.\n\nOpenFunnel automates finding unique, timely insights that get you \"ins.\"\n\nWe unlock net new pipeline across GTM functions in Marketing, RevOps, SDRs, and BDRs that were unreachable before.\n\n### **ENTER OPENFUNNEL:**\n\nOpenFunnel is your search engine for inferred pain: you describe the activities that reveal potential pain-points, we find the companies with those pain points, identify the right people, and produce outreach-ready messaging.\n\n**Find companies WHERE Activity happening = \\[abc\\] AND TimeRange = \\[m..n months\\]**\n\nSome examples that you can search for:\n\n* Companies implementing usage-based billing in the past 3-6 months - then monitor daily for new ones\n* Companies moving from OpenAI to self-hosted Llama in the last 2 months - then track all ongoing migrations\n* Companies that are looking to build out their government facing sales motions - then surface all such build outs.\n* B2C fintechs attending RSAC Conference in Las Vegas\n\nLive search agents continuously monitor time-based activities and changes across your ICP that matter to your GTM.\n\n![uploaded image](/media/?type=post&id=94200&key=user_uploads/858828/07397e96-6b5e-4d21-a265-2961783af3bf)\n\n### **LIFE OF CUSTOMERS after Openfunnel:**\n\nGTM teams setup custom insights they want to search and monitor for, in natural language.\n\nOpenFunnel auto-surfaces new and existing accounts with deep actionable insights and sync to CRM, autonomously.\n\nWe work with the fastest-moving companies who understand the value of acting quick on insights - including Central, Mintlify, Everest Systems, Fini, and Numi.\n\nOur self-serve platform has 1000+ users.\n\n### **Why We're Building ThiS:**\n\nDuring F24 batch, we built GTM tools for developer-focused companies with zero knowledge of the GTM toolkit and stack.\n\nCustomers loved our first-principles approach - we built what we'd actually want: relevant outreach with real context at the right time.\n\nThen we discovered existing that GTM tools are built on flawed, pre-LLM assumptions and this generalizes across industries.\n\nGTM is timing, insights, and reasoning - exactly what LLMs excel at. As software shifts to agent-first, it becomes a search and discovery problem.\n\nTraditional indexing lacks the temporal + contextual depth for GTM.\n\nSo, we're building a time-aware search engine for GTM.\n\n### **🦄 COME Say hi:**\n\nAditya & Fenil were dorm mates at BITS Pilani & friends for 8 years.\n\nAditya built AI Agents at scale at Appfolio and Fenil built cloud-scale vector databases at Oracle.\n\nWe've talked to 200+ GTM teams across sizes, industries, and AI adoption levels.\n\nWe’ve embedded these insights deep into OpenFunnel.\n\nWe are in SF at 128 Kings St. next to Oracle Park. Need help with anything GTM? Come say hi.\n\n![uploaded image](/media/?type=post&id=94200&key=user_uploads/858828/074961ff-899f-4306-a87e-4498d6aa2dea)\n\n### **ASK:**\n\nJoin a 1000+ users already using pain-first search to discover their prospects!\n\nGet started for free at - [app.openfunnel.dev](http://app.openfunnel.dev) !\n\nWe also have a YC deal loved by customers, Book a time for a personalized walkthrough - https://deals.ycombinator.com/deals/2816",
        "url": "https://www.ycombinator.com/launches/OVM-openfunnel-search-engine-for-gtm",
        "votes": 29,
        "created_at": "2025-09-29T22:29:20.375Z"
      },
      {
        "id": 85119,
        "title": "OpenFunnel - GTM Agents for Developer Tools",
        "tagline": "Accelerate your Go-To-Market with a team of AI Agents.",
        "body": "We are [Fenil](https://linkedin.com/in/fenilsuchak) & [Aditya](https://www.linkedin.com/in/adityalahiri/) from [OpenFunnel](https://openfunnel.dev/), and we're building GTM Agents for Developer Tooling companies. Previously, we built 23ai Cloud DB at Oracle and Leasing AI Agents in PropTech. Before that, we were dorm mates during our undergrad.\n\n**The Problem**\n\nRunning GTM at a Developer Tooling company is challenging. It involves engaging the developer community, driving adoption, finding qualified leads that match your ideal customer profile (ICP), and researching company initiatives to determine where your dev tool fits in. These tasks require the skills of a salesperson, a developer, and a marketing expert.\n\n**Our Solution**\n\nOur Team of GTM Agents helps with this. We use our AI Agents that are fine-tuned to your industry, ICP, and products to support your entire GTM strategy.\n\nOur Enterprise Sales Research Agent provides Team Graphs & Developer Champions, including project details, company initiatives, and developer journeys. Weaviate is using this to close deals with Fortune 50 Enterprise Accounts.\n\n![uploaded image](/media/?type=post&id=85119&key=user_uploads/1631833/f50196df-9c57-4a8e-8be8-65c46da2d41d)\n\nFor fast-moving startups, our Sales Research Agent helps high-growth YC dev tool companies like Greptile find qualified leads that match their ICP and need their products.\n\nOur Marketing Agent monitors developer channels, helping our YC batchmates like Alex (Cursor for Xcode) understand their developer community and effectively engage with it.\n\n[A Demo](https://youtu.be/n8QMtShty88)\n\n**Let’s Get Started - Join Us!**\n\n![uploaded image](/media/?type=post&id=85119&key=user_uploads/1631833/f25f0761-7832-4aed-8e48-ac507bdcaab0)\n\nAccelerate your GTM - [Set up a call with us.](https://cal.com/team/openfunnel/demo) Our Agents are ready to get to work for you!\n\n**Bonus**\n\n![uploaded image](/media/?type=post&id=85119&key=user_uploads/1631833/9bf1d2f3-cda7-4ac6-a926-981d6ea8b2ab)\n\nInterested in why we find GTM in Dev Tools exciting? [Read more here](https://openfunnel.dev/blog/how-why)!",
        "url": "https://www.ycombinator.com/launches/M8t-openfunnel-gtm-agents-for-developer-tools",
        "votes": 34,
        "created_at": "2024-10-29T19:45:23.390Z"
      }
    ]
  },
  {
    "id": 30036,
    "name": "Rulebase",
    "slug": "rulebase",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7bd0ab199d3e881821eeccd658d4f0847f9d9345.png",
    "website": "https://rulebase.co",
    "all_locations": "New York City, NY, USA",
    "long_description": "We run customer operations for regulated industries with AI. Our QA layer reviews every interaction, human and AI, cutting manual QA by 99%. On top of it sit specialist agents for onboarding, remediation, reactivation, and retention that own accounts from approved to transacting, chasing customers over WhatsApp, email, and SMS",
    "one_liner": "AI customer operations for regulated industries.",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1728494886,
    "tags": [
      "Customer Success",
      "Customer Service",
      "Customer Support"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Fall 2024",
    "status": "Active",
    "industries": [
      "B2B",
      "Operations"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/rulebase",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/rulebase.json",
    "year_founded": null,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/rulebasehq/",
    "x_url": "https://x.com/RulebaseHQ",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7bd0ab199d3e881821eeccd658d4f0847f9d9345.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "David Lieb",
      "url": "https://www.ycombinator.com/people/david-lieb"
    },
    "founders": [
      {
        "user_id": 1371446,
        "full_name": "Gideon Ebose",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder & CEO of Rulebase. Previously Lead Product Designer at Gatherwell, where he guided the company from startup through its successful acquisition by Jumbo PLC. Later joined Microsoft, developing their virtual communication platform for hospitals. Combines 6+ years of product design experience with an Economics degree, bringing both business and technical expertise to enterprise software",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/gideon-ebose-2a5187100",
        "x_url": "https://x.com/gideon_eb",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f7c98ab9d8af23fc7f3b8a38dfbe80e913061990.jpg"
      },
      {
        "user_id": 1045560,
        "full_name": "Chidi Williams",
        "title": "Founder/CTO",
        "founder_bio": "Chidi, Co-founder & CTO at Rulebase, has over 7 years of experience. He built Buzz, an early open-source speech-to-text tool with >300k downloads and >12k GitHub stars. With experience building systems for Goldman Sachs' wealth management and Nigerian fintechs like Eyowo, he leverages his fintech and voice AI expertise to lead technology at Rulebase.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/chidiwilliams/",
        "x_url": "https://twitter.com/chidiwilliams__",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9037d167b1308179dffe8c078a12707988b16b35.jpg"
      }
    ],
    "jobs": [
      {
        "id": 100631,
        "title": "Founding GTM Lead",
        "url": "https://www.ycombinator.com/companies/rulebase/jobs/rGWeZBN-founding-gtm-lead",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$240K - $300K",
        "equity_range": "0.50% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "Y Combinator-backed Rulebase wants to be the AI coworker for fintech | TechCrunch",
        "url": "https://techcrunch.com/2025/09/16/y-combinator-backed-rulebase-wants-to-be-the-ai-coworker-for-fintech",
        "date": "Sep 16, 2025"
      }
    ],
    "launches": [
      {
        "id": 89133,
        "title": "Beam - The real-time copilot for CX agents",
        "tagline": "Make your CX team bionic.",
        "body": "# **Hi YC,**\n\nI’m Gideon, co-founder of [Rulebase](https://rulebase.co/beam). Over the past 3 months, we’ve worked with CX and Ops teams from small 10-seat groups to global BPOs with over 100,000 agents studying how they operate and helping reduce average handle time (AHT) while staying compliant and reducing violations.\n\n# **The problem today**\n\nQA is a lagging indicator.\n\nLevel 2 and 3 CX agents manage the most complex issues but are forced to navigate multiple tools, chase missing context, and follow detailed processes from memory, live, under pressure. When mistakes happen, they’re often only caught in post-call QA reviews, long after the damage is done\n\nToday, we’re launching [Beam](https://rulebase.co/beam) the first CX copilot with perfect recall and real-time coaching, built to improve NPS, reduce AHT, and cut down compliance violations.\n\n<https://youtu.be/MaITmAAif4A>\n\n### Let me give you a typical scenario we see all the time:\n\nYou’re a fintech or work in a regulated industry. You’ve hired an offshore CX team say 50 agents and 5 QA specialists to make sure all your protocols are being followed and agents are being coached. Now over the last few months:\n\n* AHT has increased leading to you hiring more CX seats.\n* Compliance violations are rising from PCI breaches and you are facing more customer complaints.\n* Customer authentication has been skipped in some cases, leading to instances of fraud.\n* QA can’t manually review every call, and when issues are caught, it’s often days too late to fix them\n\n# **With Beam:**\n\n* Agents get real-time coaching on all protocols and compliance requirements\n* Violations are instantly flagged\n* Agents have perfect recall, including customer sentiment from past conversations\n* QA runs in real time, with auto-generated reports and continuous coaching\n* Fraud detection is built-in, blocking bad actors before they get through.\n\n\\\nIf any of the above sounds relevant to your team, we’re offering **YC companies their first 2 months free for up to 50 agents**. This includes full setup, mapping your protocols, and deploying Beam directly into your agent environment.\n\nInterested? Reach out here or book time on my [calendar](https://cal.com/gideonebose/30min), we’ll get you onboarded.",
        "url": "https://www.ycombinator.com/launches/NBd-beam-the-real-time-copilot-for-cx-agents",
        "votes": 10,
        "created_at": "2025-03-31T15:47:42.747Z"
      },
      {
        "id": 85277,
        "title": "Rulebase: The voice fraud defense system for financial services",
        "tagline": "We use AI to defend financial services against voice-based attacks like ATOs and voice phishing.",
        "body": "Hi everyone, We're [@Gideon](https://www.linkedin.com/in/gideonos/) and [Chidi](https://www.linkedin.com/in/chidiwilliams/), founders of Rulebase.\n\n### **Problem**\n\nVoice-based frauds are growing exponentially, there was a 700% increase in voice phishing and deepfake voices in 2024, largely driven by the reasons below.\n\n* Scammers are using voice clones for phishing, account takeovers, and identity theft. Deploying 1,000 voice agents costs less than $55.\n* Fraudulent calls extend Average handling time (AHT), leaving service teams overstretched and reducing support for genuine customers.\n* Voice phishing costs up to $14 million per incident, straining resources and directly impacting the bottom line.\n\n### **Solution**\n\n<https://www.youtube.com/watch?v=Cwy7tySntyc&ab_channel=Rulebase%28YCF24%29>\n\n* We have trained a deepfake and fraud detection model to detect ATOs, impersonations, and other fraudulent scenarios.\n* We use voice phishing simulations to train employees and raise awareness about staying secure.\n\n  ![uploaded image](/media/?type=post&id=85277&key=user_uploads/1371446/6d5f7fa1-95f5-4020-a073-f8ca7851e294)\n\n\n### **Asks**\n\n* If you’d like to learn how we can help protect your organization from various types of fraud, please feel free to schedule a call with us [here.](https://cal.com/gideonebose/30min?date=2024-10-31&month=2024-10)\n* Warm intros to CISOs or Fraud teams who actively serve a lot of retail customers\n\n### **Team**\n\n![uploaded image](/media/?type=post&id=85277&key=user_uploads/1371446/20638cec-672a-4306-bc29-fd9744562317)\n\n[Gideon](https://www.linkedin.com/in/gideonos/) and [Chidi](https://www.linkedin.com/in/chidiwilliams/) spent the last 10 years building defensive systems at Goldman Sachs and Microsoft. We have taken all of our previous experience across financial services to design and build voice defensive systems.",
        "url": "https://www.ycombinator.com/launches/MBR-rulebase-the-voice-fraud-defense-system-for-financial-services",
        "votes": 43,
        "created_at": "2024-11-05T15:03:06.326Z"
      }
    ]
  },
  {
    "id": 30039,
    "name": "Raycaster",
    "slug": "raycaster",
    "former_names": [
      "Atlas"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8e3854e63389e5cabd44e4b6563fefc3bd539147.png",
    "website": "https://eval.raycaster.ai",
    "all_locations": "New York City, NY, USA",
    "long_description": "Raycaster began as an agentic AI platform for knowledge work, serving dozens of publicly traded companies across life sciences, medical devices, energy, and oil and gas. It has since launched a division dedicated to training and evaluating AI systems in these industries, working directly with leading AI labs and enterprises to improve their ability to perform economically valuable work.",
    "one_liner": "Agentic AI for knowledge work",
    "team_size": 6,
    "industry": "Healthcare",
    "subindustry": "Healthcare",
    "launched_at": 1729820914,
    "tags": [
      "Biotech",
      "Data Labeling",
      "Enterprise Software",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Fall 2024",
    "status": "Active",
    "industries": [
      "Healthcare"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/raycaster",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/raycaster.json",
    "year_founded": 2025,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/raycasterai",
    "x_url": "https://x.com/raycasterai",
    "fb_url": "https://www.facebook.com/raycasterai",
    "cb_url": "https://www.crunchbase.com/organization/raycaster",
    "github_url": "https://huggingface.co/datasets/raycasterai/",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8e3854e63389e5cabd44e4b6563fefc3bd539147.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
    },
    "founders": [
      {
        "user_id": 299659,
        "full_name": "Levi Lian",
        "title": "Founder/CEO",
        "founder_bio": "Raised in a four-generation medical family, Levi chose computer science to accelerate research rather than practice it. At Stanford he worked in AI labs on early foundation model applications, then shipped enterprise-ready AI at Solvvy (acquired by Zoom), Intuit and Uber AI. Levi combines deep life-science empathy with proven AI product execution to compress drug-development timelines.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/levi-lian",
        "x_url": "https://twitter.com/levilian1",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ef9e120296d16d39ce58bfe22573967a5158a27a.jpg"
      }
    ],
    "jobs": [
      {
        "id": 81306,
        "title": "CMC Workflow Specialist (Analytical/Tech Transfer)",
        "url": "https://www.ycombinator.com/companies/raycaster/jobs/C4HEspJ-cmc-workflow-specialist-analytical-tech-transfer",
        "location": "New York, NY, US / Remote",
        "type": "Contract",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$40 - $130 / hourly",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 81307,
        "title": "Clinical Trial Enablement Workflow Expert",
        "url": "https://www.ycombinator.com/companies/raycaster/jobs/ANItObm-clinical-trial-enablement-workflow-expert",
        "location": "New York, NY, US / Remote",
        "type": "Contract",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$40 - $130 / hourly",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "Levi Lian, CEO of Raycaster, on why vertical AI is workflows first & chat last | Sacra",
        "url": "https://sacra.com/research/levi-lian-raycaster-vertical-ai-workflows/",
        "date": "Sep 30, 2025"
      },
      {
        "title": "Raycaster funding & analysis | Sacra",
        "url": "https://sacra.com/c/raycaster/",
        "date": "Sep 30, 2025"
      },
      {
        "title": "Raycaster: AgentX winner",
        "url": "https://rdi.berkeley.edu/agentx/",
        "date": "Jul 21, 2025"
      },
      {
        "title": "Agentic AI Summit Main Stage Speaker",
        "url": "https://rdi.berkeley.edu/events/agentic-ai-summit",
        "date": "Jul 09, 2025"
      },
      {
        "title": "Founder Fellowship 2025 Participants | NYCEDC",
        "url": "https://edc.nyc/founder-fellowship-2025-participants",
        "date": "Mar 06, 2025"
      }
    ],
    "launches": [
      {
        "id": 116908,
        "title": "Biopharma Bench 0.1 – Evaluating AI on Autonomous Drug Development",
        "tagline": "Frontier agents struggle in drug development; open models crush on cost",
        "body": "**TL;DR:** Everyone is trying to use AI for drug _discovery_ (finding molecules), but 90% of actual pharma time and money gets burned in drug _development_ - people digging through messy SharePoint, Veeva, fixing conflicting batch records (often scanned), updating clinical protocols, and answering FDA audit letters with 20 redline versions and siloed email threads with colleagues.\n\n![uploaded image](/media/?type=post&id=116908&key=user_uploads/299659/82cec064-a13e-4bfc-b527-31b46388e50c)\n\nWe built **Biopharma Bench 0.1**: 12 complete, reconstructed drug companies, 71 multi-hour tasks, and 752 ground-truth checks audited by industry veterans to see what happens when you actually put frontier AI into an employee’s seat.\n\n> One interesting finding: DeepSeek V4.1 Flash matched GPT-6 Sol on the actual work (57.0% vs 54.3%) at a sixth of the cost ($0.11 vs $0.64 per task). Meanwhile Claude Opus 5, #2 overall at 63.8%, didn't fully pass a single task.\n\nCheck out the interactive traces &amp; leaderboard: <https://eval.raycaster.ai/benchmarks/biopharma-bench>\\\nRead the deep-dive blog post: <https://www.raycaster.ai/blog/biopharma-bench>\\\nJoin the discussion on Hacker News: <https://news.ycombinator.com/item?id=49845891>\\\nX: <https://x.com/dubrovnik07/status/2103543413933064530>\\\nLinkedIn: <https://lnkd.in/p/g_PD7jYr>\n\n### Backstory\n\nHey everyone! We’re the team behind Raycaster (<https://raycaster.ai>).\n\nWe first started building AI agents for regulated industries like biopharma because we see the inevitable wave of knowledge work getting handled by AI systems with human oversight (definitely not fear-mongering, but in a super exciting way!).\\\n\\\nOver the last few months, our major focus has been helping frontier AI labs globally hillclimb capabilities in underserved industries such as biopharma, energy, data centers, among others.\n\nVery quickly, we noticed something broken: almost all bio AI benchmarks test multiple-choice questions or molecular physics. Nobody was testing whether an AI agent could actually do the drug development work, open a folder of 50 disorganized PDFs and spreadsheets, find where two lab reports contradict each other, and draft an FDA-defensible document.\n\nSo, we spent the last few months working directly with former pharma directors and regulatory specialists to build an evaluation that tests what real work actually looks like.\n\n---\n\n### The Problem: The \"Fluency Trap\"\n\nIt takes 8–10 years and over $1B to get a drug to patients. Most of that delay is paperwork and coordination mistakes:\n\n* Protocol Drift: \\~75% of clinical trials have to amend their protocols mid-flight. Each amendment costs hundreds of thousands of dollars and months of lost time.\n* Messy Records: A tiny discrepancy between a stability test memo from last Tuesday and an executed batch record can trigger FDA warning letters (Form 483s) or clinical holds.\n\nWhen people play with LLMs for this, they fall into what we call the fluency trap: Frontier models write seemingly true prose. If you just read the output, the AI sounds like a 20-year VP of Regulatory Affairs who knows everything.\n\nBut when you actually grade the facts against ground truth, the model cited an outdated 2023 draft instead of the approved amendment, or hallucinated a purity threshold. In biopharma, being 95% right with one made-up number is an instant rejection.\n\n![uploaded image](/media/?type=post&id=116908&key=user_uploads/299659/46c7d62a-3842-4e51-8680-ff7f80f37255)\n\n### How Biopharma Bench Works\n\nWe didn’t give the models clean, cherry-picked prompts. We dropped them into messy environments:\n\n* 12 Companies: Real reconstructed company drives packed with thousands of messy files and software states - unredacted study reports, supplier quotes, assay validations, and random internal memos.\n* 71 Long-Horizon Tasks: Multi-hour workflows across Preclinical, CMC/Manufacturing, Clinical Ops, and Regulatory Affairs (like investigating an out-of-spec stability result or drafting a protocol amendment).\n* 752 Ground-Truth Checks: Graded against falsifiable rubrics created using real documents along with former pharma directors.\n\n![uploaded image](/media/?type=post&id=116908&key=user_uploads/299659/36d4376d-59ed-4eba-9ede-d93930299e98)\n\n---\n\n### What Shocked Us from the Runs\n\nWe ran frontier reasoning models across multiple popular harnesses (Codex, Pi, Claude Code). Here are the 3 biggest takeaways:\n\n1. **DeepSeek matched GPT-6 Sol at 1/6 the cost.** \n2. **Almost nobody finishes a full task cleanly.** Top systems get 45–70% of checks, but full passes are rare: GPT-6 Astra 8/71, Grok 4.6 2/71, Kimi K3 and GPT-5.6 Sol 1 each. Claude Opus 5, DeepSeek, GPT-6 Sol, GLM, and Gemini got 0.\n3. **The writing is fine; the sourcing isn't.** In one public task, Claude Opus 5 did everything right on the surface: it navigated the folders, read scanned protocols page by page, and wrote a clean brief. But a secondary report claimed a \"protocol-defined 30-minute window\" that doesn't exist in the controlling protocol. Opus repeated it as fact in the brief for the inspector. An experienced engineer would have flagged it.\n\n---\n\n### See the Traces\n\n![uploaded image](/media/?type=post&id=116908&key=user_uploads/299659/10059154-ce98-41cb-b0ed-f23ac8942580)\n\n---\n\n### How We Can Help\n\n* Naturally as a data / research lab, we have tons of insights into benchmark design - we recently became a proud sponsor of [evalscience.org](https://evalscience.org), a 501(c)(3) nonprofit focused on scientific agent evaluation methods and independent benchmark verification. If there’s interest, happy to share more regularly on BookFace\n* We work with / fund academics and researchers and have landed joint papers in NeurIPS, NAACL and all the big conferences. Bring your idea to us and see what can come out of it\n* Finally, if you’re a neo-lab reading this, we have lots of ready to license data, environments and evals on some of the most interesting yet underserved industries 😄 , talk to us at [team@raycaster.ai](mailto:team@raycaster.ai)",
        "url": "https://www.ycombinator.com/launches/UPc-biopharma-bench-0-1-evaluating-ai-on-autonomous-drug-development",
        "votes": 15,
        "created_at": "2026-09-25T17:16:44.511Z"
      },
      {
        "id": 95955,
        "title": "Raycaster - Cursor for regulatory documents in drug development",
        "tagline": "AI workspace for high-stakes documents, not just code.",
        "body": "Hey YC 👋 I’m Levi, founder of Raycaster.\n\n### TL;DR\n\n* Raycaster is **Devin/Cursor, but for life sciences documents instead of code.**\n* It does **project-level drafting** across hundreds of PDFs, Word, Excel, and PowerPoints - not just “write a file from scratch.”\n* We’re starting with **drug development docs** (clinical, CMC, regulatory, quality) where delays and mistakes are insanely expensive.\n\n**Video (1 min):** [link](https://youtu.be/FhpC9dyBUF4)\n\n---\n\n### The problem (in plain English)\n\nIn drug development, everything important lives in documents:\n\n* protocols, reports, validation plans\n* batch records, specs, methods\n* Module 3, labels, responses to regulators\n\nThey’re scattered across SharePoint, Veeva, email, vendor portals, etc. When something changes - dose, batch size, impurity limit - you’re supposed to update _dozens_ of dependent docs so nothing contradicts anything else.\n\nToday that means:\n\n* **Research:** hunting across PDFs, Word, Excel, PowerPoints and public guidances for the right paragraph or table\n* **Draft:** copy-pasting into new docs and hand-editing boilerplate that “mostly” matches\n* **Edit:** reviewers tracking changes by eye and leaving 200 comments per document\n* **Version control:** folders called `FINAL_v7_REALLY_FINAL_clean(2).docx` and hoping nobody sends the wrong one to the agency\n\nThis happens across _every_ stage of drug development - nonclinical → clinical → CMC → labeling. When documents drift, you get delay letters, extra review cycles, or a straight-up rejection. It’s one of the big reasons timelines slip.\n\nChatGPT / Copilot can draft a single file. They don’t understand a **cross-document project** with real regulatory consequences.\n\n---\n\n### What we built\n\nRaycaster is an **AI workspace for document projects**, starting with regulatory and CMC work.\n\nThink of a repo, but for your dossiers:\n\n* A **workspace** that holds your source docs (guidances, prior submissions, lab reports, CoAs, batch records…).\n* A graph of how they depend on each other (this spec feeds this batch record feeds this Module 3 section, etc.).\n* An AI agent that can **research, draft, edit, and reconcile** across all of them—with citations and review controls.\n\nConcretely:\n\n1. **Research, with real citations**\\\n   Ask: “What does EMA say about a 5× batch size increase?” or “Which CoAs support these new commercial lots?”\\\n   Raycaster reads mixed formats (PDF, DOCX, XLSX, PPTX), pulls out the relevant paragraphs/tables, and shows you the answer with pinned citations back to the exact page and cell.\n\n   ![uploaded image](/media/?type=post&id=95955&key=user_uploads/299659/18f9f9a3-3ea8-49c7-b50f-17df326e526e)\n\n2. **Project-level drafting**\\\n   Instead of “write me a cover letter,” you say “update the batch formula + cover letter + justification for the 5× scale-up.”\\\n   Raycaster drafts the actual Word docs in your workspace, using the research + your templates, and wires in all the cross-references.\n\n   ![uploaded image](/media/?type=post&id=95955&key=user_uploads/299659/a80d77f1-fbde-429f-b80d-30153df19a1e)\n\n3. **Structured editing**\\\n   Editing is usually harder than drafting: “bump the batch size everywhere, but don’t touch the control batch,” “update only the EMA version,” etc.\\\n   Raycaster does **diff-aware edits**: it proposes precise changes inline, shows red/green diffs, and explains _why_ each change was made.\n\n   ![uploaded image](/media/?type=post&id=95955&key=user_uploads/299659/4b1ab418-fbe1-4517-a157-f54b076a9ca5)\n\n4. **Version control + remote agents**\\\n   Every change is tracked like a commit. You see: who asked for it, what files were touched, what the diff was, and what sources were used.\\\n   You can let Raycaster run “in the background” on a workflow (e.g. keep Module 3 in sync with new CoAs), then come in as a human reviewer to approve or tweak before anything is finalized.\n\nAll of this lives in a collaborative, access-controlled workspace, so legal/reg affairs/IT don’t freak out.\n\n---\n\n### Why this is technically interesting\n\nFor devs: this is all the fun of agents and tooling, but on **documents instead of code**:\n\n* Retrieval over **huge, messy, mixed-format corpora** (PDF/DOCX/XLSX/PPTX, scanned tables)\n* A maintained **dependency graph** of citations and document links, so the agent can do impact analysis instead of one-off Q&A\n* A diff engine that understands “regulatory text” and tables (git diff , not just lines of code\n* Multi-agent workflows with strict evaluation + human checkpoints, because “just let the model commit” is not an option when the FDA is on the other side\n\n---\n\n### Why we’re doing this\n\nI started Raycaster after seeing the same pattern over and over: the science was fine; **the documents were the bottleneck.** Teams were shipping “AI pilots,” but the real work was still people copying text between PDFs and Word.\n\nWe think documents deserve the same treatment code got:\\\n**good tooling, real version control, and smart agents that understand context.**\n\n---\n\n### Ask\n\nWe’re opening prioritized access for:\n\n* **Biopharma, med-tech, and device companies** with heavy document work (regulatory, CMC, clinical, quality, safety) on major submissions or post-approval changes.\n* **Engineers / researchers** who care about serious agentic systems on messy document workflows and want to kick the tires or collaborate on evals/benchmarks.\n\nIf that’s you (or someone you know):\n\n👉 Email [**founders@raycaster.ai**](mailto:levi@raycaster.ai) with the subject **“YC Pilot”** and 2-3 sentences about your team + doc stack, or just ping me at [**raycaster.ai**](http://raycaster.ai).\n\n![uploaded image](/media/?type=post&id=95955&key=user_uploads/299659/474ffc8a-305f-4986-ba5e-b236cf06dd90)\n\n",
        "url": "https://www.ycombinator.com/launches/Oxf-raycaster-cursor-for-regulatory-documents-in-drug-development",
        "votes": 19,
        "created_at": "2025-12-03T18:56:35.429Z"
      }
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    "id": 30041,
    "name": "Revyl",
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    "website": "https://www.revyl.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Revyl is the mobile development platform for agents, developers, product, and design. It brings development, build infrastructure, verification, and application intelligence together in one platform, giving teams and agents a shared source of truth for every mobile application.\r\n\r\nTeams can build and run mobile applications in the cloud, understand how their applications work, collaborate across functions, and verify changes against the running app. AI agents gain the context and runtime they need to move beyond simply generating code and understand whether their work actually works.\r\n\r\nBy connecting the people and agents building software to the application itself, Revyl helps teams move faster, collaborate more effectively, and build mobile with confidence.",
    "one_liner": "The Mobile Development Platform",
    "team_size": 16,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1729643205,
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      "B2B",
      "Infrastructure",
      "AI"
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    "isHiring": true,
    "nonprofit": false,
    "batch": "Fall 2024",
    "status": "Active",
    "industries": [
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      "Infrastructure"
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    "regions": [
      "United States of America",
      "America / Canada"
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    "stage": "Early",
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    "app_answers": null,
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    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/revyl.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/revylai/",
    "x_url": "https://x.com/tryrevyl",
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    "github_url": "https://github.com/RevylAI/",
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      "name": "Andrew Miklas",
      "url": "https://www.ycombinator.com/people/andrew-miklas"
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    "founders": [
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        "full_name": "Landseer Enga",
        "title": "Founder/CEO",
        "founder_bio": "Building the mobile source of truth @ Revyl",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/landseerenga",
        "x_url": "https://x.com/landseerenga",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/610a94112586436ed1f68e60566a57df17956a1a.jpg"
      },
      {
        "user_id": 1432741,
        "full_name": "Anam Hira",
        "title": "Founder/CTO",
        "founder_bio": "building proactive observability - catching bugs before they reach production @ Revyl. \n\n\nex Uber AI - dragoncrawl team \n\n\nUBC cs + stat\n\n\n\n",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/anam-h-5b37a2125",
        "x_url": "https://x.com/anamhira",
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    "jobs": [
      {
        "id": 93254,
        "title": "Engineering Intern",
        "url": "https://www.ycombinator.com/companies/revyl/jobs/SduBVhc-engineering-intern",
        "location": "San Francisco, CA, US",
        "type": "Internship",
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        "role_type": "Full stack",
        "salary_range": "$5K - $10K / monthly",
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        "experience": null,
        "visa": "US citizen/visa only",
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        "id": 104528,
        "title": "GTM Intern",
        "url": "https://www.ycombinator.com/companies/revyl/jobs/d5wDFIK-gtm-intern",
        "location": "San Francisco, CA, US",
        "type": "Internship",
        "role": "Marketing",
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        "id": 105186,
        "title": "Staff Infrastructure Engineer — Device Cloud",
        "url": "https://www.ycombinator.com/companies/revyl/jobs/7csBGxt-staff-infrastructure-engineer-device-cloud",
        "location": "San Francisco, CA, US / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Devops",
        "salary_range": "$150K - $250K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
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          "Android",
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          "Google Cloud",
          "iOS",
          "Kubernetes",
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      },
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        "id": 106901,
        "title": "Software Engineer",
        "url": "https://www.ycombinator.com/companies/revyl/jobs/E3sb54p-software-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$125K - $200K",
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        "experience": "1+ years",
        "visa": "US citizen/visa only",
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    "launches": [
      {
        "id": 85015,
        "title": "Revyl - Proactive observability",
        "tagline": "Automatically catch and triage bugs before they reach production.",
        "body": "# **TL;DR:**\n\n[Revyl](https://www.revyl.ai/) creates resilient end-to-end tests linked to telemetry traces to catch and triage bugs before they reach production.\\\n<https://www.youtube.com/watch?v=Zy7yXTomh7M&ab_channel=AnamHira>\n\n# **Problem:**\n\n* E2E tests frequently break due to UI changes\n* Finding the root cause of a bug can be extremely time-consuming\n* Bugs in production cause revenue loss and erode customer trust\n* Testing practices are fragmented across web and mobile\n\n![uploaded image](/media/?type=post&id=85015&key=user_uploads/1321343/0b6d5568-fd23-4cd7-8d5f-1feca7fc1d57)\n\n# **Solution:**\n\nRevyl was developed to simplify your QA pipeline. Provide us with your user flows, and we'll handle the rest.\n\nAt its core, Revyl uses resilient end-to-end tests connected to telemetry traces to enable companies to catch and triage bugs before they reach production. Revyl supports tests across Web, iOS and Android.\n\nThis approach:\n\n1. Catches bugs across your whole tech stack\n2. Prevents bugs from reaching production\n3. Accelerates triaging by pinpointing UI and/or microservice failures\n4. Cuts test maintenance to near zero\n\n![uploaded image](/media/?type=post&id=85015&key=user_uploads/1321343/07c6f0c2-6d2f-4cc2-882c-edd303380eb4)\n\n# **Why Us?:**\n\n* [**@Anam Hira**](https://linkedin.com/in/anam-h-5b37a2125): Built [**DragonCrawl**](https://www.uber.com/en-CA/blog/generative-ai-for-high-quality-mobile-testing/), an LLM-based mobile testing framework, while working as a machine learning engineer at Uber. Dragoncrawl saved $25M in 4 months, detecting 11 P0 incidents.\n* [**@Landseer Enga**](https://linkedin.com/in/landseerenga): Experienced in growth-stage startups (PM/Engineer), did some web scraping for PE firms.\n\n# **Our Ask:**\n\n1. [**Book a meeting**](https://cal.com/landseer-enga/book-a-demo) or email us at [founders@revyl.ai](mailto:founders@revyl.ai) if you struggle with testing and want to start pushing to prod on Fridays.\n2. If you know anyone on QA/Observability teams we would love to talk to them!\n\n![uploaded image](/media/?type=post&id=85015&key=user_uploads/1321343/d2cbf495-3460-4f97-98e8-6ca8154ef8b8)\n\n",
        "url": "https://www.ycombinator.com/launches/M7D-revyl-proactive-observability",
        "votes": 122,
        "created_at": "2024-10-24T13:35:15.397Z"
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    "id": 30046,
    "name": "Cekura",
    "slug": "cekura-ai",
    "former_names": [
      "Lex",
      "Vocera",
      "Cekura",
      "Cekura (formerly Vocera)",
      "Cekura",
      "Cekura (formerly Vocera)"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e614d24f652dc1e194f172153c3b7036c9c30b2f.png",
    "website": "https://www.cekura.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Cekura helps Conversational AI companies with automated QA. From pre-production simulation and evaluations to production call monitoring, to assisting customers in setting up the CI/CD pipeline, we help in QA across the agent lifecycle.\r\n\r\nWe are working with 75+ customers across healthcare, BFSI, logistics, recruitment, and retail. Some of the largest CCAS players and enterprises use Cekura to ship AI voice and chat agents reliably ",
    "one_liner": "Voice AI and Chat AI agents: Testing and Observability",
    "team_size": 15,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1728616885,
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        "full_name": "Tarush Agarwal",
        "title": "Founder/CEO",
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        "full_name": "Shashij Gupta",
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        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/shashij-gupta-671aa614a",
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        "user_id": 1605191,
        "full_name": "Sidhant Kabra",
        "title": "Founder",
        "founder_bio": "Sidhant is the Co-Founder & President @ Cekura. \n\nSidhant comes from a consulting background, advising CEOs at Fortune 500 companies in FMCG and medical devices. He also led a 100+ member team handling customer experience. Recently, he drove product and growth at an edtech startup scaling from 0 to 200K+ users in 6 months. \n\nSidhant completed his bachelor’s from IIT Bombay. During university, he raised $500K in sponsorship deals for Asia’s largest student-led festival.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/sidhantkabra",
        "x_url": "https://x.com/kabra_sidhant",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/303eef125d5fbdce4702172fd1de671c6220fafd.jpg"
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      {
        "id": 95171,
        "title": "Forward Deployed Engineer (US)",
        "url": "https://www.ycombinator.com/companies/cekura-ai/jobs/AiWwUxI-forward-deployed-engineer-us",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$100K - $180K",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 106505,
        "title": "Member of Technical Staff, Cekura (San Francisco, In-Person)",
        "url": "https://www.ycombinator.com/companies/cekura-ai/jobs/FssE6kq-member-of-technical-staff-cekura-san-francisco-in-person",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $200K",
        "equity_range": "0.20% - 0.80%",
        "experience": "1+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 107901,
        "title": "Founding GTM, Cekura (San Francisco, In-Person)",
        "url": "https://www.ycombinator.com/companies/cekura-ai/jobs/yDmL9mb-founding-gtm-cekura-san-francisco-in-person",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$100K - $150K",
        "equity_range": "0.15% - 0.50%",
        "experience": "1+ years",
        "visa": "Will sponsor",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "YC-backed Cekura plans to open office in India following $2 million fundraise - The Economic Times",
        "url": "https://economictimes.indiatimes.com/tech/startups/yc-backed-cekura-plans-to-open-office-in-india-following-2-million-fundraise/articleshow/122233573.cms?from=mdr",
        "date": "Jul 03, 2025"
      },
      {
        "title": "Cekura raises $2.4 million to make AI conversations reliable",
        "url": "https://americanbazaaronline.com/2025/07/02/cekura-raises-2-4-million-to-make-ai-conversations-reliable/",
        "date": "Jul 02, 2025"
      },
      {
        "title": "Cekura raises $2.4M to build the reliability layer for Conversational AI",
        "url": "https://www.cekura.ai/blogs/cekura-raises-dollar24m-to-build-the-reliability-layer-for-conversational-ai",
        "date": "Jul 01, 2025"
      },
      {
        "title": "Read the Pitch Deck Y Combinator Startup Used to Raise $2.4 Million - Business Insider",
        "url": "https://www.businessinsider.com/read-pitch-deck-y-combinator-startup-used-seed-funding-2025-6",
        "date": "Jul 01, 2025"
      }
    ],
    "launches": [
      {
        "id": 96868,
        "title": "Cekura Red Teaming: Stress-test your AI agents for Jailbreaks, Bias, Toxicity and more",
        "tagline": "Break your AI agents security before your customers do",
        "body": "Hi Everyone! We are Sidhant, Shashij, and Tarush, co-founders of Cekura👋\n\n**_TL;DR:_** We have launched Cekura Red Teaming for enterprises and startups building Conversational AI in compliance-heavy sectors like BFSI, Healthcare, Legal, etc\n\nWatch our launch video [here](https://www.youtube.com/watch?v=ShCiyZQ7pyw) or book a call [here](https://cal.com/kabrasidhant/30min)\n\n**Problem:**. Enterprise security teams are blocking deployments because manual, vibe-based testing doesn’t provide enough assurance against adversarial users. Whether it’s a user bypassing a paywall, tricking a bot into giving legal advice, or social-engineering it into leaking company secrets - the attack surface of conversational AI is massive.\n\n**Solution:**\n\n**Scalable, Automated Red Teaming:** Cekura allows you to run thousands of adversarial simulations in minutes. We act as the \"bad actor,\" pushing your agent's logic to its limits across every major vulnerability category:\n\n* 🔓 **Jailbreaking:** We simulate sophisticated \"prompt injection\" attacks to see if your agent will ignore its instructions or reveal its system prompt.\n* ⚖️ **Bias & Fairness:** We test for hidden biases in financial, medical, or recruitment advice to ensure your agent stays compliant and fair.\n* 🤬 **Toxicity:** We try to provoke your agent into unprofessional or offensive behaviour.\n* 🛡️ **PII & Data Leakage:** We attempt to extract sensitive data like credit card numbers, internal keys, or user data that your agent shouldn't have the authority to share\n\n**Red Teaming as a Service (RTaaS):** Beyond our standard library of thousands of scenarios, we also deploy our Forward Deployed Engineers to build **personalised adversarial test cases** tailored to your specific industry and use case (HIPAA compliance for healthcare, PCI DSS for fintech, etc)\n\n**Ready to Security Test your Voice & Chat AI Agents?**\n\n* Book a call: <https://cal.com/kabrasidhant>\n* Email us: [founders@cekura.ai](mailto:founders@cekura.ai)\n\n# **The Team:**\n\nWe met over eight years ago during our undergraduate studies at IIT Bombay.\n\n[Tarush](https://www.linkedin.com/in/tarush-agarwal-b14851160/) comes from quantitative finance, where he worked on simulations for ultra-low latency trading strategies (think nanoseconds!).\n\n[Shashij](https://linkedin.com/in/shashij-gupta-671aa614a) has previously researched NLP at Google Research and is the first author of a paper on testing AI systems reliably, which has 50+ citations from his work at ETH Zurich.\n\n[Sidhant](https://www.linkedin.com/in/sidhantkabra) comes from a consulting background advising CXOs at Fortune 500 companies in FMCG and medical devices. He managed P&L in a leading contact centre.",
        "url": "https://www.ycombinator.com/launches/PCO-cekura-red-teaming-stress-test-your-ai-agents-for-jailbreaks-bias-toxicity-and-more",
        "votes": 17,
        "created_at": "2026-01-16T17:27:00.616Z"
      },
      {
        "id": 89476,
        "title": "Cekura: Automated Testing & Monitoring for Voice and Chat AI Agents",
        "tagline": "Ship reliable voice and chat agents faster with automated simulation, evaluation, observability and analytics ",
        "body": "Hi Everyone! We’re [Sidhant](https://www.linkedin.com/in/sidhantkabra/), [Shashij](https://www.linkedin.com/in/shashij-gupta-671aa614a/), and [Tarush](https://www.linkedin.com/in/tarush-agarwal-b14851160/), co-founders of Cekura👋\n\n**_TL;DR_** Cekura helps companies ship and scale reliable voice & chat AI agents by providing end-to-end testing and observability\n\nWatch our demo video [here](https://www.youtube.com/watch?v=EsEJJ32JQuM)\n\n**Problem:** Making Conversational AI agents reliable is hard. Manually calling your agents or listening through thousands of calls is slow, error-prone and does not provide the required coverage.\n\n**Our Solution:** At Cekura, we work closely with you at each step of the agent-building journey and help you improve and scale your agents 10 times faster\n\n![uploaded image](/media/?type=post&id=89476&key=user_uploads/1605191/a2827ed8-e974-4369-a5bf-a2407e52431b)\n\n**Key Features:**\n\n**Testing:**\n\n* **Scenario Generation**: Create varied test cases from agent descriptions automatically for comprehensive coverage.\n* **Evaluation Metrics:** Track custom and AI-generated metrics. Check for instruction following, tool calls, and conversational metrics (Interruptions, Latency, etc).\n* **Prompt Recommendation:** Get actionable insights to improve each of the metrics.\n* **Custom Personas:** Emulate diverse user types with varied accents, background noise, and conversational styles.\n* **Production Call Simulation:** Simulate production calls to ensure all the fixes have been incorporated.\n\n**Observability:**\n\n* **Conversational Analytics:** Provides customer sentiment, interruptions, latency and call analytics: ringing duration, success rate, call volume trends, etc\n* **Instruction Following:** Identify instances where agents fail to follow instructions.\n* **Drop-off Tracking:** Analyzes when and why users abandon calls, highlighting areas of improvement.\n* **Custom Metrics**: Define unique metrics for personalized call analysis.\n* **Alerting:** Proactively notifies users of critical issues like latency spikes or missed functions.\n\n**Ready to make your Voice & Chat Agents Reliable?**\n\n* Book a call: <https://cal.com/kabrasidhant>\n* Email us: [founders@cekura.ai](mailto:founders@oneleet.com)\n\n# **The Team:**\n\nWe met over eight years ago during our undergraduate at IIT Bombay.\n\n[Tarush](https://www.linkedin.com/in/tarush-agarwal-b14851160/) comes from quantitative finance, where he worked on simulations for ultra-low latency trading strategies (think nanoseconds!).\n\n[Shashij](https://linkedin.com/in/shashij-gupta-671aa614a) has previously researched NLP at Google Research and is the first author of a paper on testing AI systems reliably, which has 50+ citations from his work at ETH Zurich.\n\n[Sidhant](https://www.linkedin.com/in/sidhantkabra) comes from a consulting background advising CXOs at Fortune 500 companies in FMCG and medical devices. He managed P&L in a leading contact centre.",
        "url": "https://www.ycombinator.com/launches/NHA-cekura-automated-testing-monitoring-for-voice-and-chat-ai-agents",
        "votes": 36,
        "created_at": "2025-04-13T19:05:17.460Z"
      },
      {
        "id": 84885,
        "title": "Cekura (formerly Vocera) - Testing & Monitoring for AI Voice Agents",
        "tagline": "Launch reliable voice agents in minutes not weeks.",
        "body": "**_TL;DR_** Cekura helps companies ship and scale reliable voice & chat AI agents by providing end-to-end testing and observability\n\nWatch our demo video [here](https://www.youtube.com/watch?v=EsEJJ32JQuM)\n\n**Problem:** Making Conversational AI agents reliable is hard. Manually calling your agents or listening through thousands of calls is slow, error-prone and does not provide the required coverage.\n\n**Our Solution:** At Cekura, we work closely with you at each step of the agent-building journey and help you improve and scale your agents 10 times faster\n\n# **Key Features:**\n\n**Testing:**\n\n* **Scenario Generation**: Create varied test cases from agent descriptions automatically for comprehensive coverage.\n* **Evaluation Metrics:** Track custom and AI-generated metrics. Check for instruction following, tool calls, and conversational metrics (Interruptions, Latency, etc).\n* **Prompt Recommendation:** Get actionable insights to improve each of the metrics.\n* **Custom Personas:** Emulate diverse user types with varied accents, background noise, and conversational styles.\n* **Production Call Simulation:** Simulate production calls to ensure all the fixes have been incorporated.\n\n**Observability:**\n\n* **Conversational Analytics:** Provides customer sentiment, interruptions, latency and call analytics: ringing duration, success rate, call volume trends, etc\n* **Instruction Following:** Identify instances where agents fail to follow instructions.\n* **Drop-off Tracking:** Analyzes when and why users abandon calls, highlighting areas of improvement.\n* **Custom Metrics**: Define unique metrics for personalized call analysis.\n* **Alerting:** Proactively notifies users of critical issues like latency spikes or missed functions.\n\n**Ready to make your Voice & Chat Agents Reliable?**\n\n* Book a call: <https://cal.com/kabrasidhant>\n* Email us: [founders@cekura.ai](mailto:founders@oneleet.com)\n\n# **The Team:**\n\nWe met over eight years ago during our undergraduate at IIT Bombay.\n\n[Tarush](https://www.linkedin.com/in/tarush-agarwal-b14851160/) comes from quantitative finance, where he worked on simulations for ultra-low latency trading strategies (think nanoseconds!).\n\n[Shashij](https://linkedin.com/in/shashij-gupta-671aa614a) has previously researched NLP at Google Research and is the first author of a paper on testing AI systems reliably, which has 50+ citations from his work at ETH Zurich.\n\n[Sidhant](https://www.linkedin.com/in/sidhantkabra) comes from a consulting background advising CXOs at Fortune 500 companies in FMCG and medical devices. He managed P&L in a leading contact centre.\n\n![uploaded image](/media/?type=post&id=84885&key=user_uploads/795623/bbe88a02-e0d0-4bac-bbbd-304720fa753d)\n\n",
        "url": "https://www.ycombinator.com/launches/M57-cekura-formerly-vocera-testing-monitoring-for-ai-voice-agents",
        "votes": 158,
        "created_at": "2024-10-18T20:20:12.889Z"
      }
    ]
  },
  {
    "id": 30050,
    "name": "Smooth",
    "slug": "smooth",
    "former_names": [
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    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/bcfa8b54cf4b1b39fd0cb9dbb6a8d775676107b8.png",
    "website": "https://smooth.sh",
    "all_locations": "London, England, United Kingdom",
    "long_description": "Smooth is an AI browser agent that can perform actions autonomously on the web using mouse and keyboard. It’s the most reliable browser agent yet, while also being 5 times faster, and 7 times cheaper than any other browser agent on the market.\r\n\r\n",
    "one_liner": "Fast, simple, reliable AI browser agent",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1729125196,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Fall 2024",
    "status": "Active",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "regions": [
      "United Kingdom",
      "Europe"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/smooth",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/smooth.json",
    "year_founded": 2024,
    "city": "London",
    "country": "GB",
    "linkedin_url": "https://www.linkedin.com/company/circlemindai",
    "x_url": "https://x.com/circlemind_ai",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/bcfa8b54cf4b1b39fd0cb9dbb6a8d775676107b8.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
    },
    "founders": [
      {
        "user_id": 846180,
        "full_name": "Antonio Vespoli",
        "title": "Founder",
        "founder_bio": "Antonio is the co-founder and CEO of Circlemind. He holds a Master’s degree in Computing from Imperial College London, specializing in AI and Machine Learning. He spent three years as a Software Engineer at AWS, working on real-time streaming technology.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/antonio-vespoli-895727121",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/54ab9daafaa63c7aa061f0d54952cda9cebe3be7.jpg"
      }
    ],
    "jobs": [
      {
        "id": 84118,
        "title": "Software Engineer",
        "url": "https://www.ycombinator.com/companies/smooth/jobs/1H7isFV-software-engineer",
        "location": "London, England, GB / Cambridge, England, GB",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$70K - $130K",
        "equity_range": "0.10% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 94829,
        "title": "Smooth - Fast, simple, reliable AI browser agent",
        "tagline": "Serverless browser agent API built from first principles: reliable, secure, 5x faster, 7x cheaper, and extremely scalable",
        "body": "Hey everyone! We're Antonio and Luca, the founders of Smooth - the fastest and most reliable browser agent yet.\n\n**TL;DR:** Smooth is an AI browser agent that can perform actions autonomously on the web using mouse and keyboard. It’s the most reliable browser agent yet, while also being 5 times faster, and 7 times cheaper than any other browser agent on the market.\n\n👉🏼 [Try it now free](https://app.smooth.sh)\n\nhttps://youtu.be/fvf7oLcSxWg\n\n**The problem**\n\n![uploaded image](/media/?type=post&id=94829&key=user_uploads/846180/9b08b367-2751-4fb4-89cd-7ae50362a4c1)\n\nAlthough browser agents are becoming a reality, we found that existing solutions are:\n\n1. **Too expensive** Usually require large models - can easily end up costing a few dollars even for simple tasks.\n2. **Too slow** Can take way too long to complete - e.g. 4 min to book a flight.\n3. **Unreliable** Even when provided with detailed instructions, they can struggle to complete the task.\n\nLLMs may be exceptional at advanced math, but they still struggle to book a flight.\n\n**Our solution**\n\n![uploaded image](/media/?type=post&id=94829&key=user_uploads/846180/5c0da911-8b6c-419c-9018-e638bf6e64d3)\n\nWe found that if you combine small and efficient models with a carefully curated context design, you can get **higher reliability** while also getting **human-speed navigation** and a **huge cost reduction**!\n\n![uploaded image](/media/?type=post&id=94829&key=user_uploads/846180/1f5cc0da-bcfb-48a1-8972-8a4f23790d2c)\n\nWe packaged Smooth in a **super-easy-to-use API** with instant browser spin-up, custom proxies, persistent sessions, and auto-CAPTCHA solvers. Our goal is to give you this infrastructure so that you can focus on what's important: building great apps for your users.\n\nSmooth is infinitely scalable, production ready, and secure. You can get started for free and run browser tasks in just 4 lines of code.\n\n**Our Asks**\n\n* **Give [Smooth](https://app.smooth.sh) a try!** We’d love to hear your experience\n* Drop us a line at [antonio@circlemind.co](mailto:antonio@circlemind.co) if you’d like to chat\n\n![uploaded image](/media/?type=post&id=94829&key=user_uploads/846180/f6a666db-7a65-4ef2-923d-5b2abf4c9018)\n\n",
        "url": "https://www.ycombinator.com/launches/OfV-smooth-fast-simple-reliable-ai-browser-agent",
        "votes": 27,
        "created_at": "2025-10-22T17:12:00.808Z"
      }
    ]
  },
  {
    "id": 30051,
    "name": "attimet",
    "slug": "attimet",
    "former_names": [
      "AgentPay",
      "protegee",
      "Protegee"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/43b9a65188d543037d433040e225613f5f256524.png",
    "website": "https://attimet.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Step 1: Build the Prime Radiant\r\nStep 2: Apply it to Financial Markets\r\nStep 3: Manage the world's assets",
    "one_liner": "Building the Prime Radiant",
    "team_size": 3,
    "industry": "Fintech",
    "subindustry": "Fintech",
    "launched_at": 1728431199,
    "tags": [
      "Finance",
      "Trading",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Fall 2024",
    "status": "Active",
    "industries": [
      "Fintech"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/attimet",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/attimet.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/attimet/",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/43b9a65188d543037d433040e225613f5f256524.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
    },
    "founders": [
      {
        "user_id": 1648424,
        "full_name": "Kirthi Banothu",
        "title": "Founder/CEO",
        "founder_bio": "Got into building things back in 2006 with a website for Dragon Ball Z content. Ex-HFT (Optiver + DRW), built low-latency trading systems a few too many times - developed strategies for futures, cryptos, equities, and options. Had a stint in self-driving leading the onboard sensor and ml libraries team at Argo AI. Skipped half as many grades as my cofounder.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/kirthibanothu",
        "x_url": "https://x.com/kirthibanothu",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d5d9285c639eaaadb3f91321289214d55f9779f8.jpg"
      },
      {
        "user_id": 1614791,
        "full_name": "Xiaoyu Li",
        "title": "Founder/CIO",
        "founder_bio": "Ex-quant trader at Optiver specializing in index + equity options market-making. Started and grew a medium-frequency algorithmic trading team. Yale Medical School dropout. Skipped twice as my grades as my cofounder.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/xiaoyuli240",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/612b41a6bba570b23eeefbac5b350b418d13ba84.jpg"
      }
    ],
    "jobs": [
      {
        "id": 106868,
        "title": "Member of Technical Staff | Engineering & Research",
        "url": "https://www.ycombinator.com/companies/attimet/jobs/6btZFDg-member-of-technical-staff-engineering-research",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$125K - $250K",
        "equity_range": "0.10% - 1.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [],
    "launches": []
  },
  {
    "id": 30054,
    "name": "CTGT",
    "slug": "ctgt",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/bcc702434416a96306d0394fd2a0226a38a87e98.png",
    "website": "https://www.ctgt.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "CTGT is an applied AI research laboratory fundamentally solving the alignment and reliability bottleneck for enterprise AI.\r\n\r\nFor enterprises, especially highly regulated industries, deploying Generative AI is historically a compromise between capability and catastrophic risk. Standard enterprise approaches, such as RAG, fine-tuning, and prompt engineering, operate at the wrong abstraction layer. They are inherently probabilistic, carry massive engineering overhead, and fail to deliver the mathematical certainty required by the Fortune 500.\r\n\r\nWe focus on the science of representation engineering and have productized mechanistic interpretability. By opening the \"black box\" of neural networks, CTGT has developed a proprietary architecture that intervenes directly at the model's representation layer. We convert complex corporate SOPs, SEC/FINRA regulations, and strict editorial rulebooks into machine-readable \"Policy as Code,\" enforcing deterministic constraints and defensible audit trails without requiring expensive model retraining.\r\n\r\nThe result is a step-function breakthrough in enterprise AI economics and capability. Our fundamental architecture allows organizations to run secure, self-hosted open-source models that mathematically match the reasoning and performance of frontier models. Benchmarks from our enterprise deployments demonstrate a 96.5% prevention of hallucinations, up to a 3.3× accuracy multiplier in complex domain-specific tasks, and an 80-90% reduction in human-in-the-loop manual review.\r\n\r\nBacked by an $8M seed round from Gradient Ventures (Google), General Catalyst, and Y Combinator, CTGT is currently deployed with Fortune 500 companies, including Tier-1 financial institutions and global media conglomerates, giving them the deterministic control necessary to deploy enterprise AI with zero margin for error.",
    "one_liner": "The deterministic layer for frontier intelligence",
    "team_size": 10,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1730040950,
    "tags": [
      "B2B",
      "Enterprise",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Fall 2024",
    "status": "Active",
    "industries": [
      "B2B",
      "Infrastructure"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/ctgt",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/ctgt.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/ctgt/",
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        "date": "Feb 20, 2025"
      },
      {
        "title": "Start-up company with UCSD roots seeks to eliminate ‘AI hallucinations’ – San Diego Union-Tribune",
        "url": "https://www.sandiegouniontribune.com/2024/11/08/start-up-company-with-ucsd-roots-seeks-to-eliminate-ai-hallucinations/",
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        "title": "CTGT - Accelerate AI Time to Market",
        "tagline": "Ensure AI is trustworthy + compliant, eliminate hallucinations, and deploy 10x faster.",
        "body": "We're building the future of trustworthy AI deployment. CTGT helps enterprises eliminate hallucinations and unwanted behavior in LLMs while dramatically accelerating time-to-production.\n\n[Utilizing CTGT's Platform for Model Evaluation and Monitoring 🚀 - Watch Video](https://www.loom.com/share/7e4948fa0ccf4256b2f7036ee8d7baf4)\n\n## **The Problem: “Black Box” of AI**\n\nThe status quo of deep learning involves throwing more compute at models with the expectation that they will achieve true intelligence. The questionable nature of this assumption aside, this will certainly lead to more complex models that we don’t meaningfully understand.\n\nI’ve been obsessed with AI and its potential to change the world since I was a kid. In high school, I took apart old laptops to eke out just a bit more performance to train models, so I’m exceedingly aware how important access to and understanding AI is. (For more background, check out the great piece [TechCrunch did on us](https://techcrunch.com/2024/10/29/ctgt-aims-to-make-ai-models-safer/).)\n\nEnterprise companies are sitting on powerful AI models but can't deploy them due to hallucinations and unpredictable behavior.\n\n* Healthcare providers can't risk medical chatbots giving dangerous advice\n* Financial firms need guarantees their AI won't recommend fraudulent investments\n* Tech companies need AI that consistently aligns with their brand voice\n\n## **Our Solution: Principled AI Development**\n\nCTGT takes a fundamentally different approach. Rather than black-box approximations, we've developed breakthrough technology that understands [how neural networks actually learn](https://openreview.net/forum?id=8WiNDyXgj6). \n\nThis allows us to:\n\n* Automatically detect and eliminate hallucinations\n* Train models 10x faster with 10x less compute\n* Give enterprises foundational control over AI behavior\n\nHow it works:\n\nLet’s imagine we ask an LLM about cooking food. \n\n_I started lunch by simmering water on the stove. I prepared dough for a homemade pizza dish. Using a knife, I sliced fresh tomatoes and cheese. I spread glue on the bread for tomorrow's breakfast. The dough rose in the oven. I brewed tea while stirring the soup with a spoon. A plate was set, and lunch was nearly complete. Every pot and utensil had its place._ \n\nWe can determine, for example, that pizza and bread is part of the “food” concept in the model, along with other related things in the output.\n\n<https://www.youtube.com/watch?v=WSDro9tEz_w> \n\nAnd we can determine that “glue” shouldn’t be part of this concept.\n\n<https://www.youtube.com/watch?v=skW5Z5CPr9o> \n\nOur technology ensures “glue” doesn’t appear in queries regarding food, reducing hallucinations by 80-90%.\n\n<https://www.youtube.com/watch?v=sH8x9boOtF4> \n\n## **Real Results with Fortune 10 Companies**\n\nWe're already helping major enterprises deploy AI with confidence:\n\n* Removed bias from facial recognition systems in one step\n* Eliminated investment advice hallucinations for portfolio managers\n* Enabled fraud detection LLMs with precise error identification\n\n## **The Team**\n\nFounded by UCSD researchers pushing the boundaries of AI:\n\n* Cyril Gorlla (CEO): Recipient of the Endowed Chair's Fellowship at UCSD. His work on efficient AI training was invited for presentation at ICLR and his talk at Ai4 was the most attended in its track. He collaborated with Intel on ML telemetry deployed on 8M+ CPUs. He was named one of 12 “2022 Shining Stars” at UCSD and is an Ivory Bridges Fellow and Nordson Leadership Scholar. He was advised by ACM and Amazon Fellow Mikhail Belkin.\n* Trevor (CTO): Deep learning researcher focused on high powered distributed ML systems under Hao Zhang, a student of Databricks Founder Ion Stoica, at UCSD.\n\n## **Why Now**\n\nLegacy companies and those without access to massive amounts of compute can greatly benefit from specialized, domain-specific AI. Current LLM interpretability methods are extremely inefficient, effectively rendering them inaccessible to the vast majority of companies. There’s a shift from large foundation models to those tailored to each company’s brand and applications. Our technology enables this future by making state-of-the-art AI accessible without massive compute resources.\n\n## **Interested in the Next Generation of AI?**\n\nBook a meeting at [ctgt.ai](http://ctgt.ai) if you're:\n\n* A regulated enterprise (healthcare/finance etc.) looking to safely deploy AI\n* Struggling with LLM hallucinations or slow iteration cycles\n* Want to reduce AI compute costs by 10x while improving reliability\n\n## **Looking For**\n\n* Introductions to enterprises bottlenecked by AI trust/reliability issues\n* Feedback from companies dealing with hallucination challenges\n* Technical talent passionate about principled AI development\n\nContact: [hello@ctgt.ai](mailto:hello@ctgt.ai) \n\nThe future of AI isn't just bigger models - it's smarter, more efficient ones you can trust. Let's build it together.\n\n![uploaded image](/media/?type=post&id=85166&key=user_uploads/509591/0cb2deae-2e96-46e2-936a-3d70ad737f71)\n\n",
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        "full_name": "Lalit Lal",
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        "title": "We Built the Diligence Platform We Wish We Had | Jul 29, 2025",
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        "title": "Keye🗝️: The Smartest Private Equity Analyst",
        "tagline": "Surfacing deep insights from complex analyses in M&A due-diligence.",
        "body": "### **TL;DR:**\n\n[**Keye AI**](https://www.keye.co) 🗝️ helps Private Equity Investors do due diligence for acquisitions more accurately and faster — in seconds rather than weeks. Unlike other tools that stop at summarizing, Keye creates all complex analyses relevant in diligence like cohort, retention, etc. It extracts critical insights from each of those analyses and assembles these insights into a holistic understanding of a business. With Keye, investors save time, make better investments, do more deals, and see superior returns. [ ](https://www.loom.com/share/ab97cda368214714a28a932dc6a8a494)\n\n### **Dealmakers And Tech Innovators: Redefining Diligence**\n\n[**Conor**](https://www.linkedin.com/in/conor-brown-9a02849b/) and [**Rohan**](https://www.linkedin.com/in/parikhrohan/) bring a combined 14 years of experience in the industry at Vista Equity Partners (Private Equity), Goldman Sachs, and Natixis, during which they conducted due diligence and represented companies in transactions totaling over $20B. [**Lalit**](https://www.linkedin.com/in/lalitlal/), co-founder and CTO, spent 7 years leading teams as an early engineer for three different AI companies (AI Ads, AI Robotics, AI Pharmaceuticals), two of which had private equity exits.\n\n![uploaded image](/media/?type=post&id=85647&key=user_uploads/751995/cde7a99f-0520-4cc2-9e13-df5306b6a613)\n\n**(First day at our Hacker House in SF for YC!** **Ready to shape the future of investing, one day at a time. 🚀)**\n\nCurrent AI tools search and summarize data but fall short of generating insights that create true alpha. So, we decided to tackle the toughest challenges in due diligence, from rigorous data cleaning and manipulation to generating complex analyses that uncover hidden insights. Our mantra: \"**Stop Summarizing, Start Analyzing!**\"\n\n### **The Due-Diligence Dilemma**\n\nPrivate equity funds are struggling to find and win the right deals because due diligence is time-consuming and labor-intensive, leading to:\n\n1. Only assessing \\~20% of deals due to limited resources\n2. Wasting time on the wrong deals and missing out on the right deals\n3. Missing critical details leads to losing millions or sometimes billions\n4. Failing to discover the hidden insights that help win deals and generate alpha\n\n### **The Only Platform Built Around the Investor's Thought Process**\n\n1. Instantly **generate thousands of complex analyses** from raw data\n\n   ![uploaded image](/media/?type=post&id=85647&key=user_uploads/751995/415dc7eb-8ab3-4861-9ecb-1f462b601e32)\n\n2. **Extract critical insights** from each analysis (trends, anomalies, narratives, etc.)\\\n   For Example: _“_Each successive cohort's initial average revenue per customer decreases (2008: $61.7K, 2009: $29.1K, 2010: $25.2K, 2011: $18.1K), indicating a concerning downward trend in the average value of new customers._”_\n\n   ![uploaded image](/media/?type=post&id=85647&key=user_uploads/751995/98810121-424d-443a-bff8-496c92eab7f4)\n\n3. Create and **personalize analyses** based on the fund and industry\n\n   ![uploaded image](/media/?type=post&id=85647&key=user_uploads/751995/3864c8b0-f77d-40ae-84a2-f550c1bf8593)\n\n\n**Gain unparalleled visibility into your entire deal history and unlock the shared intelligence within.**\n\n### **Proof Is In The Pudding**\n\n_“We recently did a deal and initially analyzed cohorts on a yearly basis, and while it looked good overall, we later found an issue in Q2 that only came up after speaking with the management team. By then, the team had invested so much time that it didn’t make sense to go back and redo everything quarterly. If I could have just clicked a button to view quarterly cohort insights upfront, it would have saved us considerable effort. I wish I’d had that **button**.\"_- Managing Partner, MM HealthCare Fund\n\n….he agreed that the **button** is Keye, and the fund signed up!\n\n### \n\n### **Still Haven't Reached Out? Let’s Fix That**\n\nIf you are a:\n\n1. **Managing Partner/Partner** @ PE Funds who thinks technology will play a role in their fund’s performance.\n2. **Principal/Vice President** @ PE Funds, who wants to retain top talent and do more deals.\n3. **CTO/CIO** at Mega Funds, looking for innovative solutions to help investment teams.\n4. **AI Steering Committee Members** at Upper Middle Market/Mega Funds.\n5. **Senior Associate** looking to do more critical analyses and less pivot table permutations.\n6. **Operating Partners (Tech-Focused)** at Lower-Middle Market and Middle-Market Funds.\n\nWe suggest you book some time [here](https://calendly.com/keye_founders/keye-demo)!\n\n# \n\n### **Follow our journey:**\n\n🌐 Website: <https://keye.co>\\\n[💼](https://keye.co%EF%BF%BC%F0%9F%92%BC) LinkedIn: <https://www.linkedin.com/company/keye>\\\n[✍️](https://www.linkedin.com/company/keye%EF%BF%BC%E2%9C%8D%EF%B8%8F) Capital AI blog: <https://www.keye.co/blog>\\\n[🐦](https://www.keye.co/blog%EF%BF%BC%F0%9F%90%A6) X: <https://x.com/keye_co>",
        "url": "https://www.ycombinator.com/launches/MHP-keye-the-smartest-private-equity-analyst",
        "votes": 207,
        "created_at": "2024-11-18T16:45:28.631Z"
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    "long_description": "Luthor replaces fragmented compliance workflows with a single system that reviews, enforces, and logs every piece of marketing content the moment it’s created.\r\n\r\nGenerative AI has made content production effortless. Manual compliance review has not kept up. This gap is now the largest and fastest-growing source of risk in the enterprise.\r\n\r\nLuthor closes that gap completely. Every claim is checked against your policies, your regulations, and your approved sources before it goes live. Marketing teams move faster. Compliance teams gain complete confidence, with every message verified and fully auditable.\r\n\r\nTrusted by asset managers, RIAs, lenders, banks, and credit unions to operate at AI-era volume while meeting SEC, FINRA, FTC, UDAAP, and more.\r\n\r\nLuthor eliminates the gap between what companies say and what they can stand behind.",
    "one_liner": "Real-time governance for enterprise communications",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B",
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        "id": 94065,
        "title": "Unusual – AI Relations",
        "tagline": "Get more leads with PR campaigns targeted at ChatGPT, Perplexity, Gemini, and more",
        "body": "Unusual creates and suggests media engineered to improve how AI talks about your brand – driving you more leads. This is the first “AI Relations” tool – public relations for AI models.\n\n**The problem:**\n\nEvery day, your customers rely more on ChatGPT for their buying decisions. \n\nGetting tools like ChatGPT to send you leads is a lot more than GEO/AEO; it’s more like running a PR campaign – strategically building credibility and authority with models themselves.\n\n**The solution:**\n\nWe built a platform that helps you improve AI’s holistic picture of your brand – what we’re calling “AI Relations.”\n\nhttps://youtu.be/EIkyCu3kTt4 \n\nWe break this into three components, all of which Unusual manages:\n\n1. Filling key knowledge gaps – publishing LLM-optimized content full of information LLMs are searching for, but don’t have: like a reference manual for your company. Check out ours here: https://llms.unusual.ai  \n2. Getting you on the map – flagging the 3rd party media sources LLMs look to in your industry.\n3. Nuanced reporting – analyzing how LLMs think about your company, and giving you extremely detailed reports on why they make the recommendations they do.\n\nUnusual also track AI crawls of your content, so you can measure when it’s getting picked up and referenced by LLMs, helping you track ROI.\n\n**Results:**\n\nQuality wins fast with AI systems – content with rich and needed information is quickly picked up and referenced.\n\nFor [Parley](https://parley.so), an early customer, Unusual identified a key gap in what Perplexity knew about the space of SOC2 compliant AI for law firms. It automatically published pages to fill the gaps ([Model Use, Data Flows, and Isolation by Firm](https://ai.parley.so/model-use-data-flows-firm-isolation), [Encryption, Access Controls, and Audit Logging](https://ai.parley.so/encryption-access-controls-audit-logging)) and within a month, those two pages were within the top 3 most important citations for the topic area.\n\n![uploaded image](/media/?type=post&id=94065&key=user_uploads/317891/2da445ae-819c-4443-b491-c094c14c1fe4)\n\n**Try it out!**\n\nEmail us for a demo: [founders@unusual.ai](mailto:founders@unusual.ai)\n\nTry it for free:[ app.unusual.ai/sign-up](http://app.unusual.ai/sign-up) \n\nOur website:[ unusual.ai](http://unusual.ai) \n\nOur own AI subdomain: [llms.unusual.ai](http://llms.unusual.ai) ",
        "url": "https://www.ycombinator.com/launches/OTB-unusual-ai-relations",
        "votes": 35,
        "created_at": "2025-09-23T16:30:36.000Z"
      },
      {
        "id": 87418,
        "title": "Unusual - AI Generated Websites for Each Visitor",
        "tagline": "We’ve boosted conversions up to 4x. Get more from your SEO content, ads, 3rd party links, and Linkedin outreach",
        "body": "**TLDR:** Unusual personalizes your website for every visitor. Customers have boosted their leads by 4x from SEO/blogs, ads, 3rd party links, and even Linkedin outreach to individual prospects.\n\n**SEE FOR YOURSELF**\n\nOur website _normally_ looks like this: \n\n![uploaded image](/media/?type=post&id=87418&key=user_uploads/317891/c5f7735d-81e5-45ce-9571-756857e97a7b)\n\n**Now, click on** [**unusual.ai**](https://unusual.ai) 👀 … you can see how it adapts to you coming from [YCombinator.com](http://YCombinator.com).\n\n<https://youtu.be/RQ0j7OCAjmE>\n\nUnusual uses information about the visitor to tailor the copy on your website automatically. Just drop a script in your site, and you're good to go!\n\n**Automatic personalization from any source of traffic**\n\n* Unusual can serve a unique version of your site for every single ad, blog post, social media post, email and more. \n* If you highlight a particular feature of your product in a blog post, that feature will be prominently displayed on the page the users see.\n\n**Personalize your outbound sales**\n\n* Include a custom version of your site in emails to prospects.\n* Depending on who they are, their position at the company, the industry, etc…\n\n**Create one-off versions of your site in seconds**\n\n* Create new landing pages with a prompt\n\n**Create custom sites via API**\n\n* All of Unusual’s personalization features are available via API, so you can programmatically create variants of your website (think attaching a custom page to LinkedIn or Email outreach)\n\n**Want to try it out?**\n\n* It’s a two line of code integration, it works with every kind of website, and we’re happy to help you get set up.\n\n📧 [founders@unusual.ai](mailto:founders@unusual.ai)",
        "url": "https://www.ycombinator.com/launches/Mjy-unusual-ai-generated-websites-for-each-visitor",
        "votes": 66,
        "created_at": "2025-02-04T22:19:28.840Z"
      },
      {
        "id": 85552,
        "title": "Aditto: Launch search engine marketing with the click of a button",
        "tagline": "Generate and manage hundreds of ads and landing pages without hiring a marketer.",
        "body": "**TL;DR** Aditto lets you run search engine marketing without marketers. Every day, Aditto generates new search ads and custom landing pages based on search trends, and lets you launch them with the click of a button. Our first customer: 2x leads, ½ cost per conversion in week one.\n\n<https://www.loom.com/share/e7084374372343b18af1972bde1e694b?sid=9b5e4dfa-9340-4ef8-9994-af51523b0ae0>\n\n---\n\n### **The problem**\n\nSearch ads are a huge pain to set up and manage – and when founders hire marketers to do it for them, they often misunderstand their product and market and waste money on bad leads.\n\nRunning effective ad campaigns means either:\n\n1. Wasting precious time learning the \"dark arts\" of ad platforms\n2. Bleeding money on experiments while competing against marketing veterans\n3. Burning 10-30% of your ad budget on marketers who barely understand your product\n\n---\n\n### **Our insights**\n\n* Founders are the best marketers but lack the tools/know-how.\n* Marketers don’t understand your product, but they know a lot about the “dark arts” of running Google ads and landing page optimization.\n\n---\n\n### **The solution**\n\nAditto puts founders in the driver’s seat while automating the grunt work. Our first customer 2x’d their leads while halving CPA in the first week with Aditto.\n\nJust sign up for Google Ads, drop a script tag into your site, and you’re good to go.\n\n---\n\n### **The product**\n\n**Smart Search Ads 🔍**\n\n![uploaded image](/media/?type=post&id=85552&key=user_uploads/317891/d9e7742e-de72-4329-9481-64e217003c63)\n\n* Press one button to launch hundreds of “intelligent” search ads – no need for a whole marketing team.\n* Daily updates on new search trends and ad performance\n* Automatic optimization based on what's working\n\n**Dynamic Landing Pages 🎯**\n\n* Your website automatically adapts to each visitor's context\n* Live demo: Our website usually looks like this:\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXdtY6LlxIo87wShNKFYzN2gV2VwZlwa0cE-pjLK-76wALh1G6QGwIUSgBp9SMddPyYPgkSGTuY-_lr6UYZZtGhbJCVhiSOAiVZZfRoH4ZOdRv2_uecOwWD9gkVTi6DGJXKDKiR0maGyyG153pIDh8Vs93oE?key=2Z5kuXksLecyVkABy6luuA)\n\nClick here ➡️ <https://aditto.co> to see what happens when you visit from YC’s website 👀\n\n(disclaimer… this might not work if you have uBlock origin on)\n\n---\n\n### **Why it works**\n\n* Zero learning curve - no need to become an ads expert.\n* Personalization at scale without a giant marketing team.\n* Perfect for companies with multiple value props and customer profiles\n\n---\n\n---\n\n### **Want to join?**\n\nWe're looking for beta partners with \"Swiss Army Knife\" products — multiple value props, multiple customer profiles — especially enterprise and SaaS companies. \n\n📧 [**founders@aditto.co**](mailto:founders@aditto.co)",
        "url": "https://www.ycombinator.com/launches/MFs-aditto-launch-search-engine-marketing-with-the-click-of-a-button",
        "votes": 79,
        "created_at": "2024-11-13T21:44:56.659Z"
      }
    ]
  },
  {
    "id": 30067,
    "name": "Beglaubigt.de",
    "slug": "beglaubigtde",
    "former_names": [
      "Openlaw",
      "Platus"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/701b2bc3a4abc9947cd6ce87bda2ed1d5e17653c.png",
    "website": "https://beglaubigt.de/en-us",
    "all_locations": "BY, Germany",
    "long_description": "Openlaw is building the legal backoffice for every company in Europe. One engine, three brands:\r\n\r\n- Beglaubigt.de: Germany's leading platform to found, register and manage a company. GmbH/UG formations in ~7 days instead of 6-8 weeks.\r\n- firma.de: the operating system for running a company - accounting, tax, business address and ongoing compliance.\r\n- Registercheck.de: real-time Handelsregister data via API. Every company, every change.\r\n\r\nThrough Germany's first fully automated incorporation API, partners like Qonto and Sevdesk embed company formation directly into their products. 30,000+ customers served so far.",
    "one_liner": "The legal backoffice for every company. For founders and AI agents.",
    "team_size": 30,
    "industry": "B2B",
    "subindustry": "B2B -> Legal",
    "launched_at": 1731569238,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Fall 2024",
    "status": "Active",
    "industries": [
      "B2B",
      "Legal"
    ],
    "regions": [
      "Germany",
      "Europe"
    ],
    "stage": "Early",
    "app_video_public": true,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/beglaubigtde",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/beglaubigtde.json",
    "year_founded": 2024,
    "city": null,
    "country": "DE",
    "linkedin_url": "https://www.linkedin.com/company/beglaubigt/",
    "x_url": "https://x.com/beglaubigt",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/701b2bc3a4abc9947cd6ce87bda2ed1d5e17653c.png",
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    "founders": [
      {
        "user_id": 1428849,
        "full_name": "Alexander Sporenberg",
        "title": "Founder/CEO",
        "founder_bio": "Building the legal backoffice for every company.\n\nPreviously founding team at Razor Group - European unicorn that scaled to €1.7B+ valuation and 500+ employees. Led 150+ M&A transactions, where the real bottleneck turned out to be legal infrastructure, not deal terms.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/alexsporenberg",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/405ba215724e1a29c67e8bc2ed3523386aec008f.jpg"
      },
      {
        "user_id": 241802,
        "full_name": "Felix Gerlach",
        "title": "Founder/Building",
        "founder_bio": "Co-Founder of Platus.com;\nCo-founded and exited Passbase Inc. (KYC / AML B2B SaaS) in 2023",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/felixgerlach",
        "x_url": "https://x.com/felixgerlach",
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    ],
    "jobs": [
      {
        "id": 93272,
        "title": "Entrepreneur in Residence — Founder's Office (Internship, m/f/d)",
        "url": "https://www.ycombinator.com/companies/beglaubigtde/jobs/YqUW3n0-entrepreneur-in-residence-founder-s-office-internship-m-f-d",
        "location": "Munich, BY, DE / Munich, Bavaria, DE / Remote (US)",
        "type": "Internship",
        "role": "Sales",
        "role_type": null,
        "salary_range": "€1.5K - €2.5K EUR",
        "equity_range": "",
        "experience": null,
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 95836,
        "title": "📬 Beglaubigt.de: Digital Business Address with AI Mailroom",
        "tagline": "Now live: Company address for Hamburg, Berlin, and Munich in Germany",
        "body": "👋 Hey YC!\n\n**Alex here — co-founder of Platus (F24)** and our German sub-brand [**Beglaubigt.de**](http://Beglaubigt.de), where we’re building the digital back-office for founders in Germany:\n\nToday, we’re excited to share that we’re officially launching **legally-compliant business addresses + a fully digital, AI-driven mailbox** in **Hamburg, Berlin, and Munich in Germany**. This new service completes our core stack alongside digital incorporations and digital notarizations.\n\n---\n\n## 📬 **About Beglaubigt’s Address + Digital Mailroom**\n\nIn Germany, every founder needs a **_ladungsfähige Geschäftsadresse_** - a legally binding business address required for:\n\n* Trade registrations\n* Incorporations (UG/GmbH)\n* Tax office communication\n* Courts, authorities, and official notices\n* Banking, payroll, insurance, vendors\n\nTraditionally, this process is painfully analog: physical letters, misplaced notices, fake register scams, long delays, and hours lost walking to actual mailboxes.\n\n**We turned the entire process into a digital, automated, AI-interpreted system.**\n\n### **What you get**\n\n* 🏢 **A legally compliant business address** (Hamburg, Berlin, Munich)\n* 📨 **A fully digital mailbox** — every letter scanned and instantly available\n* 🤖 **AI that reads, classifies & interprets every notice**\n* 🔀 **Auto-routing to the right team member**\n* 🚨 **Real-time fraud & fake-register detection**\n* 📦 **Automatic physical forwarding when needed**\n* 🔒 **Secure storage, searchable archive, full audit trail**\n\nYour mailbox will never look the same again — 2025 is digital, fast, and AI-powered. See for yourself:\n\n![uploaded image](/media/?type=post&id=95836&key=user_uploads/1428849/a0650d56-775e-47e9-b144-7307245139b2)\n\n---\n\n## ⚡ **Why this matters**\n\nBecause the business address isn’t just an address — it’s the _nerve center_ of every German company. With this launch:\n\n* We **unify** **incorporation + address + mail + workflow automation**\n* We eliminate one of the most common operational breakpoints for early-stage companies\n* And we bring real leverage into a system that was designed for paper, not speed\n\nThis product fits perfectly into our broader vision: making entrepreneurship in Germany radically simpler, faster, and fully digital.\n\n---\n\n## 🤝 **Why founders already love the shift**\n\n**No more fear of “Did I miss an important letter?”**\\\n\\*\\*No more manual processes.\\*\\*\\\nNo more slow loops.\n\nAnd because once they see it, they say the same thing every time:\n\n> Why did nobody build this earlier?\n\n---\n\n## 🚀 **What’s next**\n\n---\n\nMore cities.\\\nDeeper automations.\\\n**An autonomous back office** that anticipates instead of reacts.\n\n## 💬 **Want to try it?**\n\n![uploaded image](/media/?type=post&id=95836&key=user_uploads/1428849/aad178f1-110b-498c-b9be-4ef0c3ea1ad6)\n\nSet up your business address in under 3 minutes.\\\n(And finally manage your German mail the way it _should_ work.)\n\n👉 https://beglaubigt.de/geschaeftsadresse\n\nIf you’d like to learn more, ask a question, or see a demo — drop a comment, message us, or send an email to:\\\n[**alexandros@beglaubigt.de**](mailto:alex@beglaubigt.de)",
        "url": "https://www.ycombinator.com/launches/Ovk-beglaubigt-de-digital-business-address-with-ai-mailroom",
        "votes": 12,
        "created_at": "2025-11-28T15:03:54.228Z"
      },
      {
        "id": 85565,
        "title": "🏛️ Platus - Automate Your Legal Operations",
        "tagline": "Fast, reliable legal infrastructure as a no-code platform and API.",
        "body": "Hey everyone, we're [Alex](https://www.linkedin.com/in/alexandersporenberg/) and [Felix](https://www.linkedin.com/in/felixgerlach/), the co-founders of [Platus (platus.com)](http://platus.com/).\n\n# **TL;DR**\n\n* **Legal infrastructure as no code and API**\n* **First Notary-as-a-Service API**\n\nPlatus delivers fast, reliable legal solutions via a no-code platform and API, enabling SMEs with instant notarization, document drafting, e-signing, and workflow automation.\\\n\\\n<https://youtu.be/IlynObmr_sQ>\n\n---\n\n# **The Problem**\n\n* **Legal services fail to meet today’s need for instant access**.\n  * Just as Uber, DoorDash, and Revolut brought immediacy to mobility, food, and finance, legal services like drafting and notarization should be instantly accessible. In Germany, notarizations take hours at a notary’s office.\n* **Legal operations are inefficient, turning simple tasks into lengthy processes.**\n  * SMEs managing high-volume, time-intensive legal operations often lack the resources to automate their workflows.\n* **Legal services are excessively costly, often only considered if absolutely unavoidable.**\n  * In the U.S., legal help typically costs $200–$400 per hour, with complex cases exceeding $10,000, making it a last resort for SMEs.\n\n# **Our Solution**\n\nPlatus provides instant legal infrastructure with essential tools to handle and automate legal tasks:\n\n**1️⃣ Instant Online Notarization**: Notarize documents across different jurisdictions within 1-24hrs for documents such as Powers of Attorneys, Trust Certifications, and Apostilles.\n\n![uploaded image](/media/?type=post&id=85565&key=user_uploads/241802/42014a83-cde9-4f83-97e4-962c2aa14415)\n\n**2️⃣ Notarization & e-Signatures via API**: Maintain full control of your customer relationships while enabling compliant document notarization and signing. Now with AI-powered signature field detection.\n\n![uploaded image](/media/?type=post&id=85565&key=user_uploads/241802/137aecb7-bc05-4bd5-85db-876298f73d1a)\n\n**3️⃣ Automation with Workflows:** Choose from predefined playbooks or stack together your own workflow to automate internal or external legal processes.\n\n![uploaded image](/media/?type=post&id=85565&key=user_uploads/241802/42d11f19-4934-48e2-957c-a70f209bcd91)\n\n**4️⃣ AI-Driven Document Intelligence**: Detailed insights from your company's legal documents.\n\n![uploaded image](/media/?type=post&id=85565&key=user_uploads/241802/c0a8b4e3-9b8e-47f3-84a5-a9eebd039b8a)\n\n---\n\n\\\n**Interested? Talk to us!**\n\n1. [**Book a demo**](https://cal.com/fg/15min?date=2024-11-14&month=2024-11) and explore the platform in action.\n2. **Custom Legal Workflows**? We can build customized solutions and workflows to your legal requirements.\n\nWebsite: <https://platus.com/>\\\nLinkedIn: <https://linkedin.com/company/platus-inc>\\\nX: <https://x.com/platusai>\n\nReach out to us at [founders@platus.com](mailto:founders\\*\\*@platus.com), or [book a demo directly](https://cal.com/fg/15min?date=2024-11-14&month=2024-11).\n\n![uploaded image](/media/?type=post&id=85565&key=user_uploads/241802/a5098a75-8c5b-4b03-adf3-b713127431db)\n\n# **Founding story**\n\n* [**Alex**](https://www.linkedin.com/in/alexandersporenberg/) and [**Felix**](https://www.linkedin.com/in/felixgerlach/) – both experienced builders in legal and compliance tech.\n* Previously, we built [Beglaubigt.de](http://Beglaubigt.de), Germany’s leading digital notary service, and are now expanding globally with Platus to redefine legal operations and notarization access for SMEs.\n\nFelix brings extensive expertise in European compliance tech, having successfully built and sold a KYC / AML provider in 2023. Meanwhile, Alex, in developing the leading eCommerce aggregator and handling over $100 million in transactions, experienced firsthand the costly and complex nature of cross-border legal services. Together, we are deeply committed to digitizing, automating, and delivering instant legal solutions to make them accessible to everyone. Today, Platus enables SMEs to manage complex legal processes and notarizations with unmatched speed and simplicity. **💥 Beglaubigt was Platus' first customer! 💥**",
        "url": "https://www.ycombinator.com/launches/MG5-platus-automate-your-legal-operations",
        "votes": 232,
        "created_at": "2024-11-14T14:44:46.086Z"
      }
    ]
  },
  {
    "id": 30076,
    "name": "Crustdata",
    "slug": "crustdata",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a645ebfbcdeac20235858ba701359f66323b4b37.png",
    "website": "https://crustdata.com",
    "all_locations": "",
    "long_description": "Crustdata provides live company and people data via APIs and full dataset delivery. We make hard to get data easy to use at scale.\r\n\r\nCustomers use us to build their AI agent platforms and applications over our trusted data. We power builders of:\r\n-AI SDRs\r\n-AI sales platofmrs\r\n-AI recruiting platforms\r\n-AI investment/due diligence platforms\r\n-Internal sales or marketing platforms\r\n\r\n\r\nWe serve use cases like: automatic pipeline building, pipeline prioritization, champion watching, company and people triggers for sales and marketing automation, investment deal sourcing\r\n\r\nWe have developed technology that allows us to pipe in live data from over a dozen different data sources and deliver this data instantly to our customers. \r\n\r\nOur goal is index all the important data on the web and deliver it to customers in an easy-to-use way.",
    "one_liner": "Real-time B2B data via simple APIs",
    "team_size": 30,
    "industry": "B2B",
    "subindustry": "B2B -> Sales",
    "launched_at": 1729546745,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Fall 2024",
    "status": "Active",
    "industries": [
      "B2B",
      "Sales"
    ],
    "regions": [
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
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        "title": "Crustdata - Web Search API for AI Agents",
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        "body": "Hey everyone! 👋\n\nWe’re **Chris, Abhilash, and Manmohit** - founders of [**Crustdata**](https://crustdata.com) (YC F24). We’re restructuring the web for AI agents by building the **first search engine built specifically for AI agents** to find information on **people, companies, and events**.\n\nThis launch is our [**Web Search API**](https://crustdata.com/apis/websearch) - the fastest, most accurate way for agents to get **structured, fresh web data** they can actually act on.\n\n🎥 Demo video 👇\n\n<https://www.youtube.com/watch?v=IouWW97hBN8>\n\n## **TL;DR**\n\n* 🧠 [**Web Search API**](https://crustdata.com/apis/websearch) for AI agents: real-time search + fetch → structured data mapped to a canonical entity\n* 🧩 Proprietary indexing algorithm that **maps every relevant web document back to the correct person/company entity**\n* 🏗 Built on **2 years of verified people + firmographic data APIs**, now extended to index the rest of the web\n* 🔎 Pair it with our [**People Search API**](https://crustdata.com/apis/people-discovery) to find the right people, then pull the freshest context from the web\n\n![uploaded image](/media/?type=post&id=97527&key=user_uploads/508558/e3f61603-9266-4b39-8714-3b48fb680d25)\n\n## **Problem**\n\nThe web has _everything_ about people and companies - funding posts, blogs, GitHub, research papers, podcasts, job changes, pricing pages, news - but it’s:\n\n* scattered across **billions of pages**\n* written for **humans**\n* hard for AI to **reliably connect** into one coherent view\n\nSo agents either:\n\n1. scrape brittle HTML and break constantly, or\n2. use stale databases and miss what changed this week.\n\n## **Solution**\n\nWe spent **2 years** building **verified People + Company APIs**. That gave us high-confidence entity profiles.\n\nNow we’re indexing the **rest of the web** and building a proprietary indexing algorithm that:\n\n1. finds every relevant document about a person/company\n2. **maps it to the right entity**\n3. returns it as **structured data** that agents can use immediately\n\nThat’s the foundation of [**Crustdata Web Search API**](https://crustdata.com/apis/websearch).\n\nThink: **a search engine for agents**, where the output isn’t “10 blue links,” but **entity-linked, structured, fresh context from the web**.\n\n---\n\n## **What you can build with it**\n\n### **AI SDR / GTM agents**\n\n* Get the **latest** proof points on a company (launches, funding, exec moves, pricing changes)\n* Generate personalization that’s actually timely\n\n### **Recruiting / sourcing agents**\n\n* Identify candidates with the right background using [**People Search API**](https://crustdata.com/apis/people-discovery)\n* Pull the newest context (papers, talks, open source projects, blog posts, news, events) via [**Web Search API**](https://crustdata.com/apis/websearch)\n\n### **Research / diligence agents**\n\n* Track a market/category and continuously attach new web documents to the right companies/people\n* Turn web noise into structured signals\n\n---\n\n## **Our ask**\n\nIf you’re building an **AI agent** or **GTM tool** and need **real-time people + company data from the web**, check out [**Crustdata**](https://crustdata.com).\n\n* Docs / access: [**Web Search API**](https://crustdata.com/apis/websearch)\n* People discovery: [**People Search API**](https://crustdata.com/apis/people-discovery)\n* Book a demo: <https://crustdata.com/demo>",
        "url": "https://www.ycombinator.com/launches/PN1-crustdata-web-search-api-for-ai-agents",
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        "body": "**TL;DR**\n\nWe’re building Crustdata which provides live company and people data via APIs and webhooks. We let you watch, enrich, or search for any person or company on LinkedIn - and get updates in real-time.\n\n**🚩 Problem**\n\nGetting fresh, reliable, accurate B2B data at scale is hard.\n\nIn 2024, data needs to be live and pinpoint accurate, but most data platforms source from unreliable, poorly maintained 3rd party sources. And the data isn’t updated frequently — monthly, if you’re lucky.\n\nAny company trying to add an intelligence layer to their system or process needs data.\n\nProblem: it’s an incredible technology challenge to do that at scale.\n\n**✅ Solution**\n\nWe have developed technology that allows us to index and pipe in live data from almost any data source. Currently, we do this at scale from sources including LinkedIn, the SEC, funding announcements and milestones, employee ratings, product reviews, web traffic -  and deliver this data instantly to our customers.\n\nOur technology also enables you to ‘watch’ companies and people on a live basis. Get monthly, weekly, daily, hourly, or instant updates when a predefined event happens.\n\nEvents like:\n\n\\- Company grows or declines in headcount\n\n\\- Company grows in headcount by certain role\n\n\\- Company grows in certain headcount in specific regions\n\n\\- Company hires for specific technologies or titles in specific regions\n\n\\- Company lists a job posting for a certain title or technology\n\n\\- Company announces or closes funding round\n\n\\- Company gets a new product review\n\n\\- Person changes jobs\n\n\\- Person gets a promotion\n\n\\- Person adds a new skill\n\n\\- Company or Person makes a LinkedIn post\n\n▶️ **Demo**\n\n<https://youtu.be/TwUYDCrdLvk>\n\n**🕰️ Why now**\n\nClean, fresh, and accurate data is becoming increasingly important. The age of AI is producing whole new product lines and allowing companies to make their sales process smart.\n\nThere are AI SDR companies that are totally reliant on fresh, primary source data to run their whole process.\n\nB2B sales teams are depending on appropriate triggers to make sure they are reaching out to the right person at the right time.\n\nCustomer success teams need to track key personnel at their customers, in real-time.\n\nGrowth equity investors are shifting towards in-house data stacks and models to do their entire deal sourcing.\n\nEarly stage startups need a data-driven approach in GTM research to identify the right market they can plant their wedge in.\n\n**🧑🏽‍🤝‍🧑🏻 Team**\n\nWe have a decade plus experience building our own separate VC-backed data products. We have spent an inordinate amount of time on the problem which has allowed us to have a unique insight and experience that is tough to replicate.\n\n**🌟 Big vision**\n\nThe majority of knowledge work in future will be done by AI agents. Our goal is to wield the web as the data warehouse for the AI agents of the future, starting with people and company data.\n\n[🙋‍♂️](https://emojipedia.org/man-raising-hand)**Learn more:**\n\nCheck out our data and API docs if you’re interested:[ **www.crustdata.com**](http://www.crustdata.com)\n\n![uploaded image](/media/?type=post&id=84955&key=user_uploads/508558/01e10e21-f749-4d57-9b85-4c12d359db1f)\n\n",
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        "body": "<https://youtu.be/lOYsVPDtKUA>\n\n**TL;DR**\n\nOver $1 trillion worth of real estate projects are initiated in the U.S. every year, and they all have one thing in common — they get delayed in the pre-construction stage. We experienced this firsthand while developing $500 million worth of clean energy projects in Europe. It took us 2 years to develop the first project when it should have taken only 6 months.\n\nWe started PermitPortal to build tools that automate the manual tasks that took up most of our time: finding, evaluating, and closing new sites, understanding local guidelines, and monitoring permit applications.\n\n**How we address this**\n\nOur goal is to build a platform that helps developers navigate and accelerate all stages of the pre-construction process. At the core of the solution is a custom model trained for each city we’re operating in. We’re using data such as local and national regulations, historical planning applications and hundreds of hours of recordings from planning commission meetings to help real estate companies be more efficient in the key stages of development:\n\n1. Find the right sites faster\n2. Assess 100x more sites than they do today and secure them\n3. Understand local development sentiment\n4. Navigate the local regulations and entitlements processes\n5. Find the right local partners to work with\n6. Prepare and draft the right documents to avoid pushback from authorities\n\nWe are building custom integrations and answering specific questions for each developer we are working with.\n\n**Our Ask:**\n\n2 of the largest commercial real estate companies in the world want to work with us. If you know anyone working for large real estate companies (eg. Prologis, Segro, Toll Brothers, etc) please introduce us or comment and we will reach out to you!\n\n**A bit about us:**\n\nWe have known each other and have been working together for 7 years now. We did YC together in 2019 with Listle, an audio articles app, were the founding engineers of Fleek (W22) and for the past 2 years, developed a portfolio of renewable energy projects in Europe, totaling 700MW.\n\nHow it started with Listle, our first company in 2019:\n\n![uploaded image](/media/?type=post&id=85499&key=user_uploads/236420/5478a54a-d9a5-4adf-aeeb-cc16e987bc44)\n\nOur first solar project in 2022\n\n![uploaded image](/media/?type=post&id=85499&key=user_uploads/236420/6c7d3f13-4759-4ea6-8ba0-34618c6a26cf)\n\nAnd how it’s going with PermitPortal in the F24 batch!\n\n![uploaded image](/media/?type=post&id=85499&key=user_uploads/236420/8bee2cca-d0dc-4fe8-83e4-a08884f8a5e4)\n\nFind us at [**permitportalapp.com**](http://permitportalapp.com) | [**radu@permitportalapp.com**](mailto:radu@permitportalapp.com) | +1 (415) 335-7832",
        "url": "https://www.ycombinator.com/launches/MF1-permitportal-ai-operating-system-for-pre-construction",
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        "body": "We’re Arvind and Akhil, and we’re building [Fresco](https://fresco-ai.com/).\n\n### TL;DR\n\nFresco is a scribe for construction superintendents, helping them create 1000s of pages of documentation 10x faster. We free up time for supes to do what matters most: keep projects on time and under budget.\n\n### The Problem: Documentation sucks\n\nImagine spending half your work day doing your actual job…and the other half _just writing down_ what you did. That’s the reality for 210k+ construction superintendents (or supervisors, foremen, PMs, etc.) across the USA. \n\nProject management tools like Procore and ACC have dramatically increased documentation requirements: supes are spending up to 3 hours a day creating documents for compliance, regulation, and to keep various stakeholders informed. This is on top of their actual job, which is to quarterback construction projects and manage safety, quality, timelines, and more.\n\n**Fresco creates documents in minutes, not hours.** By the time supes walk back to their trailers at the end of the day, all of their documents are already waiting for them.\n\n### The Solution: AI scribe\n\nToday, most supes already walk around job sites with their phones, taking photos or brief videos to capture problems or observations on site. But, at the end of the day, they do the very manual work of matching photos with their paper notes to create detailed “punch lists” or logs.\n\nIn Fresco, supes simply narrate over videos they take on site. For example, they might point the camera at a corroded beam and say something like “The beam in the southwest corner of room 134 is corroded and needs replacement by Alex.” Fresco pulls out this action item along with a picture of the beam so Alex can get the job done. **Supes who use Fresco complete their notes, on average, 90% faster.**\n\n![uploaded image](/media/?type=post&id=85005&key=user_uploads/210149/97e3a8cb-bacc-4f5e-847f-63832a6fc08a)\n\nIn this video, you can see how a supe and a project manager voice over a school refit we worked on. **Normally, creating the final report takes 2+ hours. Fresco uses the info captured on the walkthrough and creates the report in less than a minute.**\n\n<https://youtu.be/LOu3g9A6P2w> \n\nFresco offers one-click integrations with Procore and ACC, so if supes need to enter their data there, they can easily do this without ever leaving Fresco. We’ve worked on sites that are using _both_ Procore and ACC, and Fresco saves supes hours they’d otherwise spend double-entering notes.\n\n### About Us\n\n[Arvind](https://www.linkedin.com/in/arvindveluvali/) - I got my BA + MS from Brown, and started my career in synthetic biology at NASA. After starting and selling a political tech company, I dove into the startup world, first in VC, then product, and most recently in sales + ops at an AI company.\n\n[Akhil](https://www.linkedin.com/in/akhil-climate/) - I received my BA + MA from Johns Hopkins, and worked on generative AI “before it was cool” at MIT and various startups. After using AI for ads safety at TikTok, I spent the last 18 months building software for commercial solar at Lumen Energy.\n\n### Our Ask\n\n* TRY: If you’re interested in trying Fresco for yourself, please reach out to [akhil@fresco-ai.com](mailto:akhil@fresco-ai.com). We love getting feedback from our users, and discovering new ways that they get value from Fresco.\n* INTRODUCE: General contractors here in the Bay Area. We’re getting feedback from GCs using our product in the field, but most of them aren’t local. We’re looking to work with a local firm like **Skyline Construction, Cahill Contractors, Build Group, or Plant Construction**, to ride shotgun as they use Fresco in the field. If you have an intro, please reach out to [arvind@fresco-ai.com.](mailto:arvind@fresco-ai.com)\n\n[Watch our full product video here](https://www.youtube.com/watch?list=TLGGY2v8kheb5F4yMjEwMjAyNA&v=6uUux_1jCGI&embeds_referring_euri=https%3A%2F%2Ffresco-ai.com%2F&source_ve_path=MjM4NTE).",
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        "body": "# **TL;DR**\n\nCollectWise automates consumer debt collection with AI. Our platform allows collection agencies, debt buyers, collection law firms, and original creditors to maximize liquidation rates while reducing collection costs by 80%.\\\n\\\n<https://www.loom.com/share/15df08dce1ea492c911ee685aabf78e7?sid=9950e317-ec60-4d3a-9415-4529e0b1a723>\n\n# **The Problem**\n\nLate-stage debt collection is outdated, costly, and inefficient.\n\nCollection agencies and law firms rely on thousands of staff and costly attorneys to handle tedious tasks like asset research, filing garnishments or liens, and following up with debtors or other involved parties. With over 70% of debt lawsuits ending in default judgments, these firms spend most of their time on repetitive, manual work with limited efficiency or data.\n\nThis leads to lower recovery rates, higher costs, and a poor consumer experience.\n\nAs a result, creditors lose billions annually in uncollected debts while incurring significantly higher collection costs. Debtors, in turn, pay more than they owe due to added legal and collection fees, making the debt resolution process both costly and stressful.\n\n# **The Solution**\n\nCollectWise automates the entire late-stage debt collection process, enabling creditors to achieve 2X higher recovery rates while reducing costs by 50%.\n\nOur platform provides both creditors and debtors with a more efficient, cost-effective, and modern debt resolution experience.\n\n# **How It Works**\n\n1\\. Personalized Collection Strategies: Our continuous learning model researches and analyzes each debtor's financial profile, crafting tailored collection strategies for each individual.\n\n2\\. Pre-Legal Recovery: CollectWise’s AI agents automate the entire pre-legal recovery process across every communication channel, handling tasks such as credit reporting and connecting each debtor with an attorney in the CollectWise legal network.\n\n3\\. Automated Legal Actions: Our AI agents automate essential legal actions on behalf of the attorneys, including asset research, preparing litigation paperwork, and enforcing judgments such as garnishments or liens.\n\n# **Interested In Learning More?**\n\nIf you’d like to learn more, you can book a demo at [collectwise.com](http://collectwise.com) or email us at [founders@collectwise.com](mailto:founders@collectwise.com)",
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        "title": "Scrapybara - A Computer for Your AI ₍ᐢ•(ܫ)•ᐢ₎",
        "tagline": "API-accessible computer environments purpose-built for AI agents.",
        "body": "Hey YC! Nalin and Justin here; we’re building [Scrapybara](https://scrapybara.com) to help you deploy AI agents that can use computers. We handle deployment, maintenance and scaling so your agent just sees 👇\n\n![uploaded image](/media/?type=post&id=85645&key=user_uploads/531507/8e055289-f7a9-42f4-895e-df83e7a61e28)\n\n**TL;DR**\n\n**_Deploy and productionize computer use._**\n\nScrapybara provides instant, secure virtual desktop environments via API for AI agents to perform tasks. We reduce deployment time from hours to seconds through our purpose-built platform.\n\n[https://youtu.be/ZjPTAb5bg-w](https://youtu.be/ZjPTAb5bg-w?si=8PVUmhtHmdC6iPr2)\n\n## 💻 For Instance\n\n* _A **Market Research Firm** could have their agent browse news sites, create summaries, and update their internal dashboards, all on Scrapybara_\n* _A **Healthcare Administrator** could use agents to process insurance forms and operate ERP software (even the kind that only runs on desktops), all on Scrapybara_\n* _A **Sales Development Representative** could use agents to find information on leads, reach out to them and update their Salesforce, all on Scrapybara_\n\n## 🚨 The Problem: AI Needs a Safe Place to Execute\n\nAI agents are becoming increasingly capable of writing code, analyzing data, and performing complex tasks. However, there's a critical missing piece: a secure, scalable environment where these agents can actually take actions. Current solutions force developers to choose between:\n\n* Using APIs (limited, inflexible)\n* Using browsers (unstable)\n\n**_Don’t run AI agents on your own computer._**\n\n## 💡 Our Solution: Purpose-Built Computers for AI\n\nScrapybara provides instant, secure virtual environments via API that spin up within seconds and are specifically designed for AI agents:\n\n🚀 **Speed**\n\n* Environment creation in seconds\n* Pre-warmed container pool\n* Optimized runtime layers\n\n🔒 **Security**\n\n* Isolated execution environments\n* Resource limits and timeouts\n\n💰 **Cost Optimization**\n\n* True per-second billing\n* Zero idle costs\n* Automatic resource scaling\n\n🔌 **Simple Integration**\n\n* REST API\n* Popular language SDKs\n* One-line deployment\n* Built-in monitoring\n* Plug and play with Claude’s Computer Use\n\n## 🤖 Getting Started\n\n![uploaded image](/media/?type=post&id=85645&key=user_uploads/531507/3d2131de-561f-44d6-b067-ca4ec82d4da8)\n\n![uploaded image](/media/?type=post&id=85645&key=user_uploads/531507/9cf26326-1a29-462f-a521-7756714eba11)\n\n![uploaded image](/media/?type=post&id=85645&key=user_uploads/531507/47fbd307-bf81-4be9-9286-f54124f7f512)\n\nTaking screenshots:\n\n![uploaded image](/media/?type=post&id=85645&key=user_uploads/531507/df36a97f-b1c3-445f-b15d-412ef6cc63ca)\n\nTaking actions:\n\n![uploaded image](/media/?type=post&id=85645&key=user_uploads/531507/bf4cb53b-f5e5-4542-a141-f3c2a02a9496)\n\n![uploaded image](/media/?type=post&id=85645&key=user_uploads/531507/594f98c1-7eb1-4862-9fb8-d81f02f9547d)\n\n## ♾️ Limitless Possibilities\n\nPlug your multimodal agents into Scrapybara and empower them to automate all kinds of work. The only limit is your imagination.\n\n![uploaded image](/media/?type=post&id=85645&key=user_uploads/531507/e3cc5c6b-07db-4c3d-8476-0bc6d19e30ca)\n\n![uploaded image](/media/?type=post&id=85645&key=user_uploads/531507/de5d45bb-0019-48a9-950a-813d679df759)\n\n![uploaded image](/media/?type=post&id=85645&key=user_uploads/531507/5e0a5cfa-4f38-4b3b-a741-b2ab96c868c3)\n\n![uploaded image](/media/?type=post&id=85645&key=user_uploads/531507/ab7a4ed5-9d84-4e62-a560-88ac1a9a32fa)\n\n## 🚧 Coming Soon\n\n* Windows, Android, and other virtual OS’s\n* Dedicated Code Execution Sandboxes\n* and much more!\n\n## 👾 About Us\n\n* Nalin: AI Research @ MultiOn | LLM Agent Research @ Georgia Tech\n* Justin: AI Product @ MultiOn | M&T @ UPenn\n\nWe met at MultiOn where we led B2B and consumer web agent development and built the best-in-class web extraction API (Retrieve).\n\n![uploaded image](/media/?type=post&id=85645&key=user_uploads/531507/1053d2e9-2ea6-4e29-8b4e-1d37da808e5d)\n\n## The Ask\n\n1. **Try it out**: Building general-purpose or vertical-specific agents that could do with computer use? Go to [scrapybara.com](http://scrapybara.com)!\n2. **Intro us**: Know someone who could use this? We'd love an intro!\n3. **This is cool I just want to chat about it**: Heck yeah! Email us 👇\n\nContact: [hello@scrapybara.com](mailto:hello@scrapybara.com) \\\nLinkedIn: <https://linkedin.com/company/scrapybara> \\\nX: <https://x.com/scrapybara>\n\n![uploaded image](/media/?type=post&id=85645&key=user_uploads/531507/80b9b821-8e48-4f0a-9583-68008d3309ca)\n\n",
        "url": "https://www.ycombinator.com/launches/MHN-scrapybara-a-computer-for-your-ai",
        "votes": 74,
        "created_at": "2024-11-18T04:54:22.279Z"
      }
    ]
  },
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    "id": 30097,
    "name": "Innate",
    "slug": "innate",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/374e6b2cd282f5fe31c64fcc82aaebb3105153c9.png",
    "website": "https://innate.bot",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We make personal AI robots - general-purpose physical machines that anyone can teach with code, language and demonstrations.\r\n\r\nWe believe building open platforms like the first PCs this is the only way to bring the robotics future that we all want, where everyone can participate in the robotics revolution.",
    "one_liner": "Personal AI Robots",
    "team_size": 7,
    "industry": "Consumer",
    "subindustry": "Consumer -> Consumer Electronics",
    "launched_at": 1730365227,
    "tags": [
      "Developer Tools",
      "Hard Tech",
      "Robotics",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Fall 2024",
    "status": "Active",
    "industries": [
      "Consumer",
      "Consumer Electronics"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/innate",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/innate.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/innate-bot",
    "x_url": "https://x.com/innate_bot",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/374e6b2cd282f5fe31c64fcc82aaebb3105153c9.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
    },
    "founders": [
      {
        "user_id": 938249,
        "full_name": "Axel Peytavin",
        "title": "Founder/CEO",
        "founder_bio": "CEO @Innate. Former researcher at Stanford HCI, The Ocean Cleanup",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/axel-peytavin",
        "x_url": "https://x.com/ax_pey",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f87ffaf60cfa73031c4d08001d38c77d4b23ac75.jpg"
      },
      {
        "user_id": 1831970,
        "full_name": "Vignesh Anand",
        "title": "Founder/CTO",
        "founder_bio": "Former Stanford robotics graduate student. Former flight sciences intern at Archer. Also built high-powered rockets and underwater robots. Currently building the future of embodied AI with Innate",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/vignesh-anand-iitb/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7adac2bc127fc7a93bf960286b96991e5463f4df.jpg"
      }
    ],
    "jobs": [
      {
        "id": 100521,
        "title": "Content & Marketing Intern",
        "url": "https://www.ycombinator.com/companies/innate/jobs/PZV8HFZ-content-marketing-intern",
        "location": "Palo Alto, CA, US",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$4.33K - $5.2K / monthly",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 114969,
        "title": "Open Application",
        "url": "https://www.ycombinator.com/companies/innate/jobs/XCZlld4-open-application",
        "location": "Palo Alto, CA, US",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$38.9K - $300K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 114970,
        "title": "Mechatronics Engineer",
        "url": "https://www.ycombinator.com/companies/innate/jobs/AoTR6iU-mechatronics-engineer",
        "location": "Palo Alto, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Hardware",
        "salary_range": "$150K - $180K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 85667,
        "title": "Innate 🤖 Teach your own general-purpose robots",
        "tagline": "Shipping assembled AI robots for builders of Silicon Valley!",
        "body": "Innate builds **AI brains for general-purpose robots**, and **affordable embodiments** for consumers to experience the first AI robots.\n\nOur first product, **Maurice**, is a mobile robot with a trainable arm, designed for Silicon Valley builders to play with, customize and build on. It runs our AI brain that can navigate, perform physical tasks, interact with people, and reason.\n\n<https://youtu.be/gxRLFx4JjcQ>\n\nThe brain is **completely teachable**: You can prompt it, chat with it, and teach it physical tasks.\n\nIt takes **only 5 minutes** for you to write another prompt for Maurice to behave very differently, for example, performing security at home:\n\n<https://youtu.be/hGK0lIGT49E>\n\n# ⚙️ Under the hood\n\nIn the past 3 months, we created **our brain, an AI orchestrator** leveraging several of the most recent research publications in AI for manipulation, navigation, reasoning and planning.\n\nIt combines **9 different models** to create something that feels innately intelligent - like GPT, Gemini, Claude and Llama (Groq) got a body and learned to move. Maurice **constantly understands its environment**, makes decisions, remembers what is sees and where, and learns from you.\n\n![uploaded image](/media/?type=post&id=85667&key=user_uploads/938249/cc03013d-d569-4272-93d8-e7a3c7f0a6b8)\n\n**This system comprises:**\n\n🧠 A **multi-agent** orchestrator running specialized models locally and in cloud 🤖 **Real-time manipulation** models controlled by our own transformers\n\n🦾 A **full data pipeline** to collect arm data, train in the cloud, run inference on the platform\n\n💬 **A 100% interactive platform**, that can be steered vocally or through its prompts\n\n📈 An **eval pipeline** for our brain’s decision making, to progressively make it better\n\nMaurice learns your space, remembers context, and makes autonomous decisions about where, what to do next.\n\n**It’s also ready to build on:**\n\n* **All the compute required** is onboard (uses a Jetson Orin Nano)\n* Shipped with a **teleop arm** to train it quickly\n* **SDK to access the agent**, steer it, give it new functions to call\n\n  ![uploaded image](/media/?type=post&id=85667&key=user_uploads/938249/1459c238-8aff-4226-acec-5c3c3770f57c)\n\n\nAnd as a user, you can customize it, collect data quickly to train it, and even change the hardware.\n\n![uploaded image](/media/?type=post&id=85667&key=user_uploads/938249/1039d908-0523-43d5-a70e-8d6d00971063)\n\nThis allows Maurice (and future robots) to learn several kinds of physical tasks.\n\n![uploaded image](/media/?type=post&id=85667&key=user_uploads/938249/ed3e71f0-37cb-498d-8448-57f2ebb47178)\n\nFinally, Maurice is already reliable enough for us to do live, autonomous demos!\n\nWe're also developing a larger robot that can reach countertops. Our interoperable software ensures quick capability matching across all future embodiments using the Innate brain.\n\n# Our Ask: Join us into the **future**\n\nWe're making teachable robots accessible to builders now, because we believe it is the right way to tailor robots people want, for a reasonable price. Furthermore, the data we collect along the way, teaching our robots, will be useful for all future robots.\n\nOur first platform is for Silicon Valley builders who want to shape what teachable robots can do. Sign up for our waitlist [on our website.](https://innate.bot)\n\n1. **Join the community:** Builders, if you want to know more, join our Discord and / or get one, send us a DM at [@ax_pey](https://x.com/ax_pey) on X or at [axel@innate.bot](mailto:axel@innate.bot)\n2. **Intro us:** Our AI brain could be useful to an individual or company you know making robots? We’d love to chat!\n3. **I just want to chat! :** Great! Happy to! The best way is still through [X](https://x.com/ax_pey), [LinkedIn](https://www.linkedin.com/in/axel-peytavin/) or [email](https://mailto:axel@innate.bot)!\n\n# Who we are\n\nWe are Vignesh and Axel, two former Stanford grad students and researchers in AI for robotics and AI for HCI. We met almost a year ago working on a previous idea, and through several iterations of this project, we have come to trust our shared abilities to face the hard problems ahead to make general-purpose robotics accessible to everyone.\n\nThis company embodies our vision of bringing a technology that will be a major game-changer for humanity, in the hands of everyone. So that robots are made for humans, taught by humans.\n\n![uploaded image](/media/?type=post&id=85667&key=user_uploads/938249/8d097e3a-cf0a-4ef9-ac06-4b6397935231)\n\n_Us, 10mn before a successful live demo of our robot in front of 40 people, fixing an unexpected bug_\n\nThe future of robotics is teachable. It’s time to build it!",
        "url": "https://www.ycombinator.com/launches/MHj-innate-teach-your-own-general-purpose-robots",
        "votes": 44,
        "created_at": "2024-11-18T19:25:14.391Z"
      }
    ]
  },
  {
    "id": 30100,
    "name": "Alex",
    "slug": "alex",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/211bbe719ecb6e8800789a12c674df98b2a1fb49.png",
    "website": "https://alexcodes.app",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Tired of switching tabs to cursor every time you're building your iOS app in Xcode?\r\n\r\nWorry not!\r\n\r\nAlex is a sidebar app that works directly with Xcode, and has the same Cmd+L, Cmd+K, and Apply Code commands as Cursor. And, it's super fast.\r\n\r\nCheck it out: https://alexcodes.app",
    "one_liner": "The Cursor for Xcode",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1728718432,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Fall 2024",
    "status": "Active",
    "industries": [
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      "Engineering, Product and Design"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/alex",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/alex.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/alex-sidebar/",
    "x_url": "",
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/211bbe719ecb6e8800789a12c674df98b2a1fb49.png",
    "app_video_url": null,
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    "primary_partner": {
      "name": "David Lieb",
      "url": "https://www.ycombinator.com/people/david-lieb"
    },
    "founders": [
      {
        "user_id": 559658,
        "full_name": "Daniel Edrisian",
        "title": "Founder/CEO",
        "founder_bio": "I'm an iOS Engineer, formerly built the iOS app for ElevenLabs and was a founding engineer at FlutterFlow (YC W21). Prior to that, I interned at Apple, Meta, and Google.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/daniel-edrisian/",
        "x_url": "https://x.com/DanielEdrisian",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5fad67bd1d4b6c2544dc88ad99cdf8486c3e0bd7.jpg"
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    ],
    "jobs": [
      {
        "id": 70860,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/alex/jobs/uB3KJ2P-founding-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$1",
        "equity_range": "1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 85378,
        "title": "Alex Sidebar: The Cursor for Xcode",
        "tagline": "The most powerful Copilot for iOS Development",
        "body": "**Hey there!**\n\nMy name is Daniel, and I'm the founder of Alex: The missing sidebar for Xcode 🍏\n\nBeing an iOS Developer since I was 13, Xcode is rooted in my DNA. I admittedly really like Xcode (when it’s not crashing), and I find it feature-complete for _almost_ everything I need as a developer — except one: **AI codegen**. That’s where Alex comes in.\n\n[Alex - Your AI Copilot for Xcode](https://www.youtube.com/watch?v=CEefIxm-WdA)\n\n**TL;DR 🧵**\n\nAlex is like Cursor for Xcode, and gives you AI features like sidebar chat, inline completions, and tab to complete. **Since launching last week, over 1200 users** **have signed up for Alex, and hundreds are using it every day for their work.**\n\nWe want to make Software Development easier for the 3+ million people who use Xcode. Check out our website to get started!\n\n<https://alexcodes.app>\n\n# **How does it work?**\n\nAlex interacts with Xcode using MacOS's Accessibility features. It can read what you see on Xcode, and can write to it. It also knows where your cursor is, so it can accurately place the suggestions and \"Fix Error\" buttons.\n\n![uploaded image](/media/?type=post&id=85378&key=user_uploads/559658/8fd0cb1d-44f9-439b-a7e4-ba0f2cfc9a74)\n\n![uploaded image](/media/?type=post&id=85378&key=user_uploads/559658/1748b92b-238a-40b9-8d43-86688a1d5999)\n\nAlex also embeds your Xcode projects for use in Codebase Search. We let you connect to any custom OpenAI-compatible model, or use your own keys for OpenAI, Anthropic, Perplexity, and VoyageAI.\n\n# **What next?**\n\nAt Alex, we want to make high-quality iOS development significantly faster. We plan on doing two major things in the future:\n\n1. **Creating the iOS LLMs.**\n\n   With each new iOS release and iOS SDK, new APIs are introduced into Swift and SwiftUI, and more APIs get deprecated. The state-of-the-art models like OpenAI and Anthropic either don't have the latest iOS code baked into their knowledge, or their top-1 retrieval doesn’t correspond with the latest APIs.\n\n   This is because there simply isn't enough training data from new iOS APIs, and not enough data indicating deprecated code. We plan to create our own model, trained using Apple's latest documentation, and available both as large-scale model finetunes for chat, and as smaller scale finetunes for inline suggestions.\n2. **Creating your own local iOS agent.**\n\n   Our long term plan is creating your own local iOS Development agent. Imagine Alex running several tasks in the background: Code refactors, optimizations, tests, documentation, and bug fixing all done in the background — while you do the most exciting part: Feature development.\n\n# **Conclusion (and a signup deal!)**\n\nIt's been exciting to see teams fully switch from their Cursor/Xcode setup to just using Xcode with Alex. We have engineers at dozens of companies already using us for their production iOS codebases, from large online marketplaces to apps for aircraft navigation. ✈️\n\nFeel free to give it a try! (It's free, and you can get **50 free O1-Preview credits** when you sign up.) \n\n[alexcodes.app](http://alexcodes.app)\n\nAnd join us on Discord:\n\n[discord.gg/fwbmYA3fEH](http://discord.gg/fwbmYA3fEH)",
        "url": "https://www.ycombinator.com/launches/MD4-alex-sidebar-the-cursor-for-xcode",
        "votes": 112,
        "created_at": "2024-11-08T14:41:47.545Z"
      }
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  },
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    "id": 30101,
    "name": "Kilvin",
    "slug": "kilvin",
    "former_names": [
      "Chorrie",
      "BrowserBook"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b8aa78b8b96db85bb2ce800dc4eae6fc788564af.png",
    "website": "https://www.kilvin.ai",
    "all_locations": "New York City, NY, USA",
    "long_description": "Kilvin is an AI-native agency that builds custom software solutions for non-technical teams.\r\n\r\nWith AI, the future of software is democratized. Every team deserves tools built exactly for them, not off-the-shelf SaaS products they need to adapt to. Kilvin makes it a reality, delivering a private, secure workspace of custom applications, built around your workflows and ready in days, not months.\r\n\r\nNo engineers needed on your side. Just software that fits exactly how you work.",
    "one_liner": "Custom software for your business",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1731609344,
    "tags": [
      "Developer Tools",
      "Productivity",
      "Data Engineering",
      "Automation",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Fall 2024",
    "status": "Active",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/kilvin",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/kilvin.json",
    "year_founded": 2024,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://linkedin.com/company/kilvin-ai/",
    "x_url": "https://x.com/cschlaep",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/kilvin",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b8aa78b8b96db85bb2ce800dc4eae6fc788564af.png",
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        "id": 96111,
        "title": "BrowserBook - The Browser Automation IDE",
        "tagline": "Write, run, and deploy reliable web automations in minutes, not hours",
        "body": "Hey YC!\n\nWe’re [Chris](https://www.linkedin.com/in/cschlaep/) and [Jorrie](https://www.linkedin.com/in/jorrie/), cofounders of [BrowserBook](https://www.browserbook.com).\n\nhttps://youtu.be/FkaGHhJWy1w\n\n# **TLDR**\n\nWe make it trivial for developers to write reliable web automations.\n\n# **Ok, but _what is it?_**\n\nBrowserBook is an IDE that puts all the tools automators need in one place, so the iteration loop to write, test, debug, and deploy web automations is significantly reduced.  It combines:\n\n* **A Jupyter-like coding environment** where developers can run code cells individually,\n* **An inline browser** to run automation code against\n* **A Playwright coding agent** that can write the automation for you\n* **A bunch of built-ins** for taking screenshots, extracting data, and authentication\n\nAnd, once you’re done writing your script, you can deploy it and trigger it via our public API.  It’s super easy!\n\n# **But browser agents are a thing, right?**\n\nYes, and we’re not using them.  We built BrowserBook because of the shortfalls we experienced with browser agents and the pain of actually writing reliable scripts.  At a very high level, in the AI world you can take two approaches to web automation - write scripts, or use browser agents.\n\n1. **Use browser agents:** ostensibly more flexible, but expensive, slow, and unreliable\n2. **Write scripts:** fast and debuggable, but infamously brittle\n\nWhich leads us to…\n\n# **The problem (and how we got here)**\n\n**Sometimes we need machines to interact with web pages, which are made for humans.**\n\nThis is basically the whole challenge.  There’s a lot of reasons we might want machines to poke around on the web:\n\n* Agents using a browser to interact with the web to perform actions like humans, especially when they can’t use APIs\n* Scrapers to gather data that’s useful for our business\n* UI tests that can interact with a website the way a human would to ensure everything’s working as intended\n* Workflow automation via RPA\n\nWe tried **browser agents** in our pre-pivot days to automate healthcare workflows. They mostly didn’t work; they were an order of magnitude more expensive than scripts, slow because of all the context they needed, and tended to drift when workflows got complex.  When they did drift, fixing them was just tedious prompt-massage and trial-and-error.\n\nWe ended up giving the agent a library of scripts to execute, and came to realize scripting was simply the better solution for reliable enterprise workflows; they’re deterministic and therefore inherently debuggable, not to mention their cost and speed advantage.  They with a host of issues though:\n\n* **Websites change often** causing scripts to break. We needed a way to quickly diagnose and iterate on our scripts.\n* **Setting up browser and filesystem infrastructure** is not easy but very necessary in the web automation world.\n* **It’s just annoying to write scripts** - if you’ve ever had to dig around for selectors, you know: it’s tedious and time consuming.\n\nSo we built BrowserBook to solve those issues.\n\n# **How does it work?**\n\n1. **Run code piecemeal** - if you’re fixing a breakage 2/3rds of the way through your script, you shouldn’t have to run the whole thing every time you test it.  We took inspiration from Jupyter notebooks and allow you to run code cells independently, while maintaining context and state:\n\n   ![uploaded image](/media/?type=post&id=96111&key=user_uploads/739375/f2203cd4-1533-402c-8b17-3147d3d21783)\n\n2. **No more digging for selectors** - tell the coding assistant what to do and it’ll implement the automation logic in Playwright:\n\n   ![uploaded image](/media/?type=post&id=96111&key=user_uploads/739375/418daacd-b744-4359-84d3-23891d386676)\n\n3. **Built-ins for the hard stuff** - want to take a screenshot?  Log in to a website with 2FA?  Extract data?  We’ve got built-ins for those, ready to go out-of-the-box.\n\n   ![uploaded image](/media/?type=post&id=96111&key=user_uploads/739375/2acfea26-9c65-4ba4-8983-8e351e75222a)\n\n4. **Accessible via API** - if you need to execute your automation via an agent you’re building, scheduled via a cron job, or as a part of your application, you can trigger automations remotely and watch the playback in-app or via our artifacts API endpoint.\n\n   ![uploaded image](/media/?type=post&id=96111&key=user_uploads/739375/957ce254-3702-407f-890d-ed8c184824e7)\n\n\n# **Our ask**\n\nTry it out!  If you:\n\n* Run browser automations\n* Are building agents that need to interact with the web\n* Need to write a one-off automation that will make your life easier\n\nBrowserBook is available for download for Mac users [on our website](https://browserbook.com/), and if you’d like you can [book a demo here](https://browserbook.com/demo).\n\nAdditionally, if you know individuals, startups, or teams at larger companies working on browser automations, we’d love to meet them!",
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        "created_at": "2025-12-10T15:55:19.861Z"
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        "id": 85580,
        "title": "Chorrie: turn your SMEs into SWEs",
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        "body": "# **TL;DR**\n\nWe supercharge your subject matter experts by giving them the tools they need to eliminate errors in heavily manual processes.\n\n**Our current mission:** empower healthcare practices to stop denials and under-billing on their claims before they happen.\n\n# **The Problem**\n\nHealthcare claims processing is an overly-complex, adversarial space. Insurance payers are constantly changing their policies, forcing billing teams to rely on:\n\n* frequent and extensive retraining\n* coding rules worksheets with hundreds of tabs\n* esoteric tribal knowledge\n\nWith so much room for human error, it’s no wonder 73% of healthcare staff surveyed reported that they’re facing increasing denials on outgoing claims.\n\n# **A turnkey solution for medical claims checks**\n\n[Here’s where Chorrie comes in.](https://youtu.be/orI95bsgaio)\n\nChorrie uses AI to empower medical practices to turn their esoteric knowledge into automated checks, saving time, money, and mental effort. We take simple, deterministic instructions, and translate them into a code-based decision tree, which can be continuously run to automate correctness checks for complex rules systems.\n\nTake the example in our video: we get a glimpse at how extensive these rules worksheets can become today, and see how quick & easy it is to automate a rule for claims from a particular location, containing a particular code, billed to a particular insurance payer with Chorrie.\n\n# **Backstops-as-a-service**\n\nOur approach of plaintext ➡️ decision tree ➡️ code generation is a scalable technique that can be used to provide backstop checks (and ultimately automate) high-leverage, deterministic manual processes that are prone to human error (think contract review for legal documents, trade confirmations, etc.).\n\nTo automate checks for these today, you’d need a team of engineers to write the logic into code, and keep them on staff to ensure that code can be updated when the rules change. **With Chorrie, you get:**\n\n* A no-code solution: turn your SMEs into SWEs\n* No hallucinations in your automated workflows\n* Intrinsically deterministic & fully explainable conclusions\n\nWhile the focus today is on reducing claims denials to 0% for our healthcare clients, we plan to explore use cases in other fields in the future.\n\n# **About us**\n\nWe are Chris (the **Ch**) and Jorrie (the **orrie**), old friends who met in undergrad at MIT. We met back up years later at Google, where we worked on applied AI for content moderation before we decided it was time to move onto something new.\n\n![uploaded image](/media/?type=post&id=85580&key=user_uploads/739375/ce57cfdc-3b8c-41dc-a8bb-d4bccc866ab0)\n\nAfter brainstorming on a number of projects, Jorrie’s wife, an ophthalmologist, gave us the idea of applying AI to the medical coding world and the rest is history!\n\n# **Our ask**\n\nDo you have any tedious or high-leverage manual processes where errors can cost your business money (Think heavy manual review processes, major transactions that need to be verified, etc.)? Or any contacts in the medical billing world? We’d love to chat.\n\n📧 [**founders@chorrie.com**](https://mailto:founders@chorrie.com)",
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        "body": "Hey everyone! We’re Brian and William from ArchiLabs and we’re building an AI BIM tool for production/semi-custom homebuilders and MEP engineers!\n\n### **⏩** TL;DR\n\nArchiLabs is building an AI BIM tool for production homebuilders and MEP engineers. Traditional BIM tools like Revit or AutoCAD aren’t built for AI-first workflows and often lack customizability that MEP and production homebuilders need to accomplish their workflows.\n\nWe can handle complex nested design options, complex calculations and layouts, and do auto documentation.\n\nFor MEP engineers:\\\n<https://archilabs.ai/workflows/mep>\n\nFor production homebuilders:\\\n<https://archilabs.ai/workflows/production-homebuilders>\n\n### **😩** The Problem\n\nArchitects &amp; engineers are talented, but the tools they use (like Revit) to draft homes and buildings are from the early 90s. The tools are clunky and slow to iterate in. This means that the iteration process is slowed down and leaves less time for filling in important construction details at the end.\n\n### **👌** The Solution\n\nArchiLabs is building a BIM tool from the ground up built for humans and agents to collaborate. We are starting with large homebuilders and MEP engineers because existing tools underserve these markets.\n\n### **🤠** The Team + Backstory\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXd4XjIwSrSBtz4Vr7WA4JTko_Rwwz7JtCAeAJ3s4_EMUhcO1NIk790MSpsk54XJ39sF4NblVBJ9YRyqPlOjXleWeA04SewMCO9Q_RZLZ6XZXfv1t_eXhn4yqhnoVFbZlQfniBLBwg?key=sjQEh1jkB355E5fZmtO42GBG)\n\nWilliam graduated with a degree in computer science from Carnegie Mellon, then went on to work at Facebook. He realized his passion was the built world and set out to build homes from scratch in Texas where he experienced this frustration first hand. He then set out to build his own CAD tool.\n\nBrian graduated with a degree in ECE from Carnegie Mellon and went on to run a YC-backed tech-enabled homebuilding factory. He had a lot of frustrations with the architectural back-and-forth, primarily stemming from the limitations of existing tools. He then went on to build and sell an AI transcription startup.\n\nBrian and William met back up, sharing the same vision for reimaging the construction design experience and eventually taking on Autodesk, the $60B industry-leader.\n\n### 🙏 The Ask\n\nMore beta testers! We are always looking to fine-tune our workflow engine to fit common homebuilding and MEP workflows, so if you know any large homebuilders or MEP engineers or are one yourself, we would love to chat! Feel free to email us: [founders@archilabs.ai](mailto:founders@archilabs.ai)",
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        "title": "🚢 Ryvn - Deploy applications to customer clouds, on-prem",
        "tagline": "Like Vercel but for deploying to your own cloud and customer clouds",
        "body": "**TL;DR:** [**Ryvn**](https://ryvn.ai) **_empowers SaaS startups to seamlessly deploy, monitor, and manage their applications within customer clouds_** _and on-premises environments. We streamline on-prem delivery with integrated logging, monitoring, and simplified updates and rollbacks across all customer installations._ [_Watch our demo_](https://youtu.be/1wTY1a0KKPU)\n\n   \n&nbsp;\n# **🔥 The Team**\n\n[Albert](https://www.linkedin.com/in/simplyalam/) and [Shardool](https://www.linkedin.com/in/sp97/) collectively bring over a decade of expertise in infrastructure and DevOps.\n\nAt Palantir, Shardool led engineering teams building deployment infrastructure for managing **hundreds of environments**, including cloud, on-premises, and air-gapped systems—facilitating over 10,000 deploys per day.\n\nAlbert led engineering teams at Palantir, developing disaster prevention products that secured $xxM in contracts. At Capital One, he architected modular deployment pipelines and resource management tools.\n\n   \n&nbsp;\n# **❌ The Problem**\n\n**Building infra is not building product**\\\nSetting up infrastructure for each customer—learning tools like Terraform and Kubernetes, creating configurations, and making Docker images—is time-consuming. Instead of building new features, your team is tied up with these tasks just to get deployments working.\n\n**Customer DevOps slows you down**\\\nIf you're sending code, docker images, or Helm charts to customers, you're relying on their DevOps team to prioritize your updates and correctly follow installation instructions. This can lead to **delays of 4-6 weeks** before updates are applied, hurting your delivery cycle.\n\n**Support sucks without monitoring and logging**\\\nHearing about outages or bugs over email or Slack leaves you scrambling to react, putting customer trust at risk. Secure access to logs and metrics is critical to providing reliable service.\n\n   \n&nbsp;\n# **🔮 Our Solution**\n\n**🚢 Easily Install and Ship Updates**\\\nRyvn handles on-prem and VPC deployments automatically from your GitHub code, like Vercel, allowing you to push updates **multiple times a day** with little to no customer involvement.\n\n![uploaded image](/media/?type=post&id=85379&key=user_uploads/1690248/a32c6ee9-98c9-4289-b62f-83ec48cda238)\n \\\n**🎮 Controlled Updates & Instant Rollbacks**\\\nRoll out updates with ease across release stages, including **instant rollbacks** to previous stable versions, ensuring uptime and customer confidence.\n\n![uploaded image](/media/?type=post&id=85379&key=user_uploads/1690248/a6862582-b463-415b-9239-39ff5d161cf0)\n \\\n**👁️ Integrated Logging & Monitoring**\\\nSecure, **centralized access to logs** and health metrics across customer environments. Logs are streamed to your cloud or accessible on-demand from your customer’s cloud.\n\n![uploaded image](/media/?type=post&id=85379&key=user_uploads/1690248/1bffb4e3-5a28-44d0-a75c-8e92ebf639d6)\n\n   \n&nbsp;\n# **💭 Why Deploy to Customer Clouds?**\n\n**💸 Charge more, bigger markets**\n\n* Charge **3–10x** more for customer cloud / on-prem deployments\n* Sell to regulated industries — health, finance, enterprise, etc.\n\n**🥷 Skip the security review & SOC 2**\n\n* Land **PoCs** _faster_ by deploying on-prem to bypass lengthy security reviews\n* You don’t need SOC 2 or HIPAA to deploy on-prem\n\n**❤️ Make your bank and lawyers happy**\n\n* Customers pay directly for infrastructure cost\n* Not hosting customer data reduces your liability\n\n   \n&nbsp;\n# **📣 Our Ask**\n\n**Follow** - we’re on [LinkedIn](https://www.linkedin.com/company/105480942/)\\\n**Share** - If you know any startups looking to deploy to customer clouds, we’d appreciate a warm intro using our email [founders@ryvn.ai](mailto:founders@ryvn.ai)\\\n**Demo** - [book here](https://cal.com/albertlam/ryvn-demo)\n\n![uploaded image](/media/?type=post&id=85379&key=user_uploads/1690248/7b4e5b4d-30d0-4b34-8762-1f8664c960b6)\n\n",
        "url": "https://www.ycombinator.com/launches/MD5-ryvn-deploy-applications-to-customer-clouds-on-prem",
        "votes": 84,
        "created_at": "2024-11-08T14:33:26.181Z"
      }
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  },
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    "id": 30115,
    "name": "Laminar",
    "slug": "laminar-com",
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      "sre.ai",
      "SRE.ai"
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    "website": "https://laminar.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Laminar analyzes, builds, and governs the systems that run your business, from SMBs to Fortune 10 Enterprise orgs. Powered by Implementation Intelligence™.",
    "one_liner": "Enterprise systems delivery without the turbulence.",
    "team_size": 15,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1731196685,
    "tags": [
      "B2B",
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      "AI"
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Fall 2024",
    "status": "Active",
    "industries": [
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    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
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    "stage": "Early",
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    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/laminar-com",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/laminar-com.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/laminar",
    "x_url": "",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/sre-ai",
    "github_url": "https://github.com/SRE-ai",
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    "app_video_url": null,
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    "company_photos": [],
    "primary_partner": {
      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
    },
    "founders": [
      {
        "user_id": 282804,
        "full_name": "Raj Kadiyala",
        "title": "Founder/CEO",
        "founder_bio": "Currently building Laminar, previously at Google/DeepMind\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/rajsekhark/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e9160400b6f5f846024047a4ff33e78d3d4b9bd9.jpg"
      },
      {
        "user_id": 2250700,
        "full_name": "Edward Aryee",
        "title": "Founder/CTO",
        "founder_bio": "Currently building Laminar, previously at Google Research",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/edwardaryee/",
        "x_url": null,
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/948f20cbeab74559dbcfb72828882cb19f5c2b9e.jpg"
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    ],
    "jobs": [
      {
        "id": 102116,
        "title": "Member of Technical Staff",
        "url": "https://www.ycombinator.com/companies/laminar-com/jobs/rLzPSAF-member-of-technical-staff",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "8+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 107086,
        "title": "Laminar | Technical Intern",
        "url": "https://www.ycombinator.com/companies/laminar-com/jobs/tdAM4uY-laminar-technical-intern",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 107087,
        "title": "Laminar | Intern",
        "url": "https://www.ycombinator.com/companies/laminar-com/jobs/fYFdMgU-laminar-intern",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 116438,
        "title": "Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/laminar-com/jobs/cIuLQfr-forward-deployed-engineer",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 116439,
        "title": "Founding Talent Partner",
        "url": "https://www.ycombinator.com/companies/laminar-com/jobs/hGSGGGi-founding-talent-partner",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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    "news": [
      {
        "title": "Y Combinator alum SRE.ai raises $7.2M for DevOps AI agents | TechCrunch",
        "url": "https://techcrunch.com/2025/08/20/sre-ai-launches-to-automate-complex-enterprise-workflows/",
        "date": "Aug 20, 2025"
      }
    ],
    "launches": [
      {
        "id": 85420,
        "title": "SRE.ai - AI Agents for Low-Code DevOps",
        "tagline": "Enabling Low-Code DevOps for Low-Code Platforms like Salesforce.",
        "body": "Deploy between environments, configure and execute workflows, and query for information with just a chat message.\\\n<https://youtu.be/fMyfVek8zAI>\n\n[Edward](https://www.linkedin.com/in/edwardaryee/) and [Raj](https://www.linkedin.com/in/rajsekhark/) are former Google Research & DeepMind engineers who have over a decade of experience building automation tools and AI experiences. We are eager to bring our skillset to optimize an often slow, process-heavy development ecosystem. \n\nWe've tailor-made our end-to-end platform for Salesforce development, with agents that improve productivity while reducing release headaches.\n\n# The Problem\n\nAs RevOps and Salesforce Development orgs grow, complexity multiplies; teams often have to patch together outdated tools and tedious processes to compensate. Over time, this creates technical debt, which leads to metadata merge issues, data backup challenges, and information silos. \n\nIt becomes harder to share knowledge and communicate effectively. Finding information across disparate tools and documents slows down teams and increases the potential for breakages that affect users.\n\nAll of this manifests in bulky processes and longer release timelines.\n\n# Solution\n\nWe built AI agents to automate Salesforce DevOps, allowing organizations to create customized executable workflows, including:\n\n* CI/CD and testing\n* Merge conflict resolution\n* Environment spin-up/down\n* Simulations and impact reports\n\nWith configurable human-in-the-loop verifications and access controls, our agents enable fast, transparent workflow executions, cutting down release timelines and improving productivity. The result? \n\n* More time to spend on important tasks\n* Informed decision-making\n* Better risk management\n\n# Our ask\n\nIs your Salesforce development team looking to streamline operations? Email us at [info@sre.ai](mailto:info@sre.ai) or [book a demo here.](https://cal.com/sreai)\\\n\\\nIf you’re interested in the space, join our [Slack workspace](https://join.slack.com/t/sreai-community/shared_invite/zt-2u0f3n39z-EBrMyj9tleJN\\~xsNdjOwDw)!\n\n![uploaded image](/media/?type=post&id=85420&key=user_uploads/2250700/7f22ebb2-c06c-4fed-bcd1-80a2155e1ff9)\n\n",
        "url": "https://www.ycombinator.com/launches/MDk-sre-ai-ai-agents-for-low-code-devops",
        "votes": 200,
        "created_at": "2024-11-10T00:58:49.657Z"
      }
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    "id": 30118,
    "name": "Ember",
    "slug": "ember",
    "former_names": [
      "Ember Copilot"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/cc4c02e697fb21ae99bab2ac805d924074318bc8.png",
    "website": "https://www.embercopilot.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Ember is rebuilding the back office of healthcare finance.\r\n\r\nBehind every provider sits a mountain of administrative complexity, and that drag lands where it matters most: cost, capacity, and care. Ember clears it with intelligent automation, so provider groups can spend their time on patients, not paperwork.\r\n\r\nWe're reimagining how revenue moves through healthcare, and how lean teams scale without trading away quality. Our platform drops into existing provider workflows, takes the manual work off their plate, and gives leaders real-time visibility into financial and operational performance.\r\n\r\nWe're growing fast, and we're hiring sharp, resourceful people who want to build. Right now, that starts with you.",
    "one_liner": "AI RCM. Increase net revenue by 16%. ",
    "team_size": 25,
    "industry": "Healthcare",
    "subindustry": "Healthcare",
    "launched_at": 1728536375,
    "tags": [],
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Fall 2024",
    "status": "Active",
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      "America / Canada"
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    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/ember",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/ember.json",
    "year_founded": 2022,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/embercopilot",
    "x_url": "https://twitter.com/embercopilotAI",
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      "name": "Garry Tan",
      "url": "https://www.ycombinator.com/people/garry-tan"
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        "user_id": 198052,
        "full_name": "Charlene Wang",
        "title": "Founder/CEO",
        "founder_bio": "Charlene is the CEO and co-founder of Ember AI. Previously healthcare product lead at Google. ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/hsinleiwang",
        "x_url": "https://twitter.com/hsinleiwang",
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        "user_id": 1837981,
        "full_name": "Warren Wang",
        "title": "Founder/CTO",
        "founder_bio": "Warren is the co-founder of Ember. In the past, he did explainable AI research at MIT CSAIL and medical AI research with NVIDIA at hospitals in Taiwan. Warren holds a BS in EECS/Physics and MEng in EECS from MIT. He was a gold medalist at the 50th International Physics Olympiad. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/warrenweinwang",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4105fb7e7109b067cb305928905233fc58c2a841.jpg"
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    "jobs": [
      {
        "id": 74847,
        "title": "Healthcare SDR",
        "url": "https://www.ycombinator.com/companies/ember/jobs/1Pp8EZM-healthcare-sdr",
        "location": "San Francisco, CA, US / Remote (FL, US; New York, NY, US; Nashville, TN, US; MN, US; TX, US; OH, US; MI, US; UT, US; London, England, GB)",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$85K - $95K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "Will sponsor",
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        "id": 95765,
        "title": "Healthcare Account Executive (Mid-Market)",
        "url": "https://www.ycombinator.com/companies/ember/jobs/2J0vq51-healthcare-account-executive-mid-market",
        "location": "Burlingame, CA, US / Remote (Chicago, IL, US; Austin, TX, US; Nashville, TN, US; Columbus, OH, US; New York, NY, US; UT, US; CO, US; GA, US)",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$150K - $250K",
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        "experience": "3+ years",
        "visa": "US citizen/visa only",
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        "id": 100169,
        "title": "Growth Marketer",
        "url": "https://www.ycombinator.com/companies/ember/jobs/BjTdbX1-growth-marketer",
        "location": "Burlingame, CA, US / San Francisco, CA, US / Remote (New York, NY, US; Chicago, IL, US; Nashville, TN, US; Boston, MA, US)",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$110K - $130K",
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        "id": 105459,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/ember/jobs/HyUKTVm-founding-engineer",
        "location": "Burlingame, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$140K - $180K",
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      {
        "id": 87221,
        "title": "Ember Copilot - Instant ICD-10 Code Search",
        "tagline": "We help doctors instantly find the right medical codes to bill. ",
        "body": "Hey everyone! We’re [Charlene](https://linkedin.com/in/hsinleiwang) and [Warren](https://linkedin.com/in/warrenweinwang/), co-founders of [Ember Copilot](https://www.embercopilot.ai/).\n\n# **TL;DR**\n\nEmber Copilot helps surgery centers automate medical scribing, coding, and billing. Our autonomous coding solution achieves **98% accuracy** and reduces **denials by 55%.**\n\n<https://youtu.be/jRSdwId10No> \n\n# **Why does medical coding matter?**\n\nMedical coding determines how much healthcare providers get paid for their services. Without accurate coding, claims are denied, delaying or preventing payments for the work providers do.\n\n# ​​**Why are we building autonomous medical coding?**\n\nToday, many doctors still handle coding themselves, often relying on Google searches to navigate complex rules they weren't trained for. For example, as one billing manager shared:\n\n\"_We've got doctors that like to unbundle stuff, and not understanding that it's bundled, then you can't bill them separately_.\" \n\nThis challenge becomes even more significant in surgical procedures, where multiple codes, complex bundling rules, and specific documentation requirements create confusion.\n\nSome practices outsource coding and billing, but this approach isn’t perfect either. Coders aren’t in the exam room and often lack the full context of the patient encounter. This leads to time-consuming back-and-forth clarifications with physicians, delaying claims and introducing inaccuracies.\n\n# **Solution**\n\n![uploaded image](/media/?type=post&id=87221&key=user_uploads/198052/642df116-7838-4e4b-92c6-a61052dd417b)\n\nTo help providers get started, we've made [ICD10codes.ai](http://ICD10codes.ai) free for everyone to use. Simply insert a diagnosis or your full clinical note to get the most relevant ICD-10 code back. This works for both diagnoses and procedures.\n\nOur complete system goes further: \n\n* Handles ICD-10, CPT, and DRG while integrating directly with EHRs like EPIC. \n* Flags bundling issues, suggests appropriate modifiers, and validates documentation against payer requirements in real time.\n\n \n\nThis is especially valuable for surgical coding where providers deal with complex bundling rules and specific documentation requirements from payers like UnitedHealthcare’s enhanced requirements.\n\nBy combining autonomous coding with our scribing product, Ember Copilot helps providers identify missing documentation and meet requirements while the patient is still in the room. It’s like having a coding expert present at all times—without any overhead or delays.\n\n![uploaded image](/media/?type=post&id=87221&key=user_uploads/198052/d7e175a7-d2fd-4c32-9021-4f14323a624a)\n\n# **Ask**\n\nKnow a doctor who takes insurance? Connect us! We’re looking to help:\n\n* Physician offices\n* Ambulatory surgery centers\n* Government agencies\n\nWe’d love for them to try Ember Copilot on past claims and see the results directly.\n\n👉 Try it for free at [ICD10codes.ai](http://ICD10codes.ai) or email us at [**founders@embercopilot.ai**](mailto:founders@embercopilot.ai)\n\nThank you!\n\nCharlene & Warren\n\n![uploaded image](/media/?type=post&id=87221&key=user_uploads/198052/af2c2f1d-528a-4158-93d1-a73d0ad9d1a5)\n\n",
        "url": "https://www.ycombinator.com/launches/Mgn-ember-copilot-instant-icd-10-code-search",
        "votes": 29,
        "created_at": "2025-01-28T05:53:30.905Z"
      },
      {
        "id": 84770,
        "title": "Ember Copilot: The AI medical assistant that actually works",
        "tagline": "We’re bringing the state-of-the-art language model to every clinician in the world. ",
        "body": "![uploaded image](/media/?type=post&id=84770&key=user_uploads/198052/87f670f9-9471-494d-8b31-7c2ade36436f)\n\nHey everyone! We’re [Charlene](https://linkedin.com/in/hsinleiwang) and [Warren](https://linkedin.com/in/warrenweinwang/), co-founders of [Ember Copilot](https://www.embercopilot.ai/).\n\n# **TL;DR**\n\nWe help surgeons automate medical scribing, patient intake, insurance letters, and more, all directly integrated within their EHR. We’ve helped our early customers bring in over $60,000/mo.\n\n<https://youtu.be/RUkosYD-FLQ>\n\n# **Problem**\n\nThere are many AI scribes, but they’re mostly built for outpatient settings. Surgeons work in fast-paced, high-stress environments and rely heavily on dictation, templates, and human scribes. AI makes too many mistakes, and surgeons don’t have the time to fix those inaccuracies.\n\n# **Solution: A medical assistant designed for surgeons**\n\n1. **Quality:** By grounding the documentation in medical history and clinical consultations, we ensure precise SOAP and procedure notes.\n2. **Revenue Impact:** Our AI assistant reviews billing history and drafts letters of medical necessity, helping early customers generate over $60,000 per month in additional revenue.\n3. **Customization:** We customize workflows to fit subspecialties and fully integrate with general, orthopedic, and other types of surgery.\n\n# **Team**\n\n![uploaded image](/media/?type=post&id=84770&key=user_uploads/198052/83775b8f-0745-4dca-a203-494237d0fd2e)\n\nWe’ve built healthcare AI products for hospitals and insurers during our time at Google, NVIDIA, and MIT, so we know how to integrate tech into clinical workflows.\n\nThis mission is personal for us—our parents are in healthcare, and we’ve seen firsthand how much time gets wasted on paperwork. Our goal is to take that burden off providers so they can focus on patient care and reclaim some time for themselves.\n\n# **🙏 Ask: Share this post**\n\nDo you know anyone connected with **clinics**, **surgery centers**, **telehealth platforms**, **MSOs**, or **PE firms involved in medical roll-ups**?\n\nWe’d love to connect via DM or email at [founders@embercopilot.ai](mailto:founders@embercopilot.ai).\n\nThank you!\n\nCharlene & Warren",
        "url": "https://www.ycombinator.com/launches/M3G-ember-copilot-the-ai-medical-assistant-that-actually-works",
        "votes": 86,
        "created_at": "2024-10-15T19:19:57.262Z"
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Careforce builds AI Workers for healthcare orgs to take on coordination burden from staff and reduce time of care by autonomously identifying and outreaching patients (through phone, text, email, & mail) to schedule visits, book screenings, complete pre-post, and onboard. \r\n\r\nThese agents require no integration, can navigate all tools, speak 29 languages, come with 50+ outreach scripts and have a remarkable 80% conversation-to-booking closing rate.",
    "one_liner": "AI Workers for Healthcare Orgs to Find, Call & Schedule More Patients.",
    "team_size": 9,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Healthcare IT",
    "launched_at": 1730747199,
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    "city": "San Francisco",
    "country": "US",
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        "full_name": "Huzaifa Sial",
        "title": "Founder/CEO",
        "founder_bio": "Founder and CEO of Careforce. Huzaifa is deeply focused in helping 3x care for all Americans.\n\nPreviously led AI Orgs @ United Healthcare & Optum. Masters in Clinical Informatics form Northwestern and has spent 14+ yrs building Healthcare AI solutions like Disease Prediction Models, Recommendation Engines, Patient Engagement & Behavioral Models, DME optimization Models, Care Delivery & Provider Search Engines etc. 4 Health AI Patents, 2 Healthcare AI exits.",
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        "id": 78672,
        "title": "Senior Fullstack Engineer",
        "url": "https://www.ycombinator.com/companies/careforce/jobs/Hjx9nA3-senior-fullstack-engineer",
        "location": "Oakland, CA, US / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $180K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
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        "id": 97354,
        "title": "Technical Product Manager",
        "url": "https://www.ycombinator.com/companies/careforce/jobs/3IP8uMc-technical-product-manager",
        "location": "Oakland, CA, US / San Francisco, CA, US / Remote (US)",
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        "role": "Product",
        "role_type": null,
        "salary_range": "$140 - $180",
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        "id": 97355,
        "title": "Technical Program Delivery Lead",
        "url": "https://www.ycombinator.com/companies/careforce/jobs/ZJ28Tzb-technical-program-delivery-lead",
        "location": "Oakland, CA, US / San Francisco, CA, US / Remote (US)",
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        "id": 97356,
        "title": "Enterprise Sales Lead",
        "url": "https://www.ycombinator.com/companies/careforce/jobs/Q4ekhMP-enterprise-sales-lead",
        "location": "Oakland, CA, US / San Francisco, CA, US / Remote (US)",
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        "id": 114991,
        "title": "Customer Success & Delivery Lead — Careforce",
        "url": "https://www.ycombinator.com/companies/careforce/jobs/0YNOnut-customer-success-delivery-lead-careforce",
        "location": "Alameda, CA, US / Remote (US; CA)",
        "type": "Full-time",
        "role": "Support",
        "role_type": null,
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        "experience": "3+ years",
        "visa": "Will sponsor",
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        "id": 85791,
        "title": "Careforce - Must-have AI agents 🤖 for Healthcare admin 🏥",
        "tagline": "Get more patients in the door with AI agents for Healthcare Admin",
        "body": "Hi 👋 I’m [Huzaifa](https://www.linkedin.com/in/hsial/). At [Careforce](https://careforce.ai) we're eliminating the human-glue burden of admin & care coordination on staff with AI workers.\n\n### **TL;DR**\n\n* **Reduce the human-glue burden** on your health center staff for admin & care coordination tasks and increase revenue with Careforce AI Agents.\n* **Autonomously Call. Text. Schedule.** across multiple EMR, scheduling, & payer portals in 29 Languages and book 30% more appointments.\n* **Autonomously Sync. Analyze. Identify** unrealized revenue across all portals and plans, without needing to spend time & $$ integrating systems.\n\nhttps://www.youtube.com/watch?v=cWwsuSoAHgk\n\n# **The Problem**\n\nEven after spending almost $800B/yr (almost 70% of revenue) on staffing, Healthcare organizations leave 2/3rd of care unserviced, costing 30% in bookings & $250B/year in care coordination waste.\n\nMost care coordination & data sharing is still manually done by staff through phones, email, fax because of unintegrated systems and custom workflows too unique to automate out of the box.\n\n* **For health centers & practices** this means MAs (short-staffed with front desk and intake) end up spending most of their time on admin tasks and most patients are never outreached & scheduled for vital screenings/visits, leaving a 1/3rd of care unserviced.\n* **For Digital health & CCM companies** this means staffing admin & call centers for outreach, onboarding, task completions, reminders, or answering questions.\n* **For Payers** this means setting up a new call center or admin team every time a new program, benefit, or measure is launched to reach, schedule, onboard, or educate members.\n\n# **The Solution**\n\nCareforce creates autonomous agents that are able to take on these human-glue tasks and **complete them in the same way as your staff would without the need for integrations**. Our AI agents are already 🟢 Live with health centers and digital health companies helping analyze, call, schedule, and generate revenue.\n\n![uploaded image](/media/?type=post&id=85791&key=user_uploads/1090886/4b715375-b238-4976-931a-bee237740ed1)\n\n### **Angelica⟡** **(Admin):**\n\nCan autonomously:\n\n* Call, text, email, and schedule patients autonomously\n* Outreach using 50+ editable scripts (mammograms, pre-post-op, onboarding etc.)\n* Speak in 29 Languages to engage and educate across demographics\n* Make 100 calls / min. and finish a year’s worth of outreach in weeks\n* Leave Voicemails, Sending reminders, and autonomously retry patients as needed\n* Use EMR, Scheduling, payer and provider portals through UI or API Integrations\n\n### **David⟡** **(Data):**\n\nCan Autonomously:\n\n* Sync data from API and Integrations into a centralized AI-friendly data bucket.\n* Use UI to download data across EMRs & portals to create a Universal Patient View\n* Find unrealized revenue, and growth opportunity using your unique workflows\n* Prepare reports, and generate lists for Angelica⟡ to realize the unrealized revenue\n\n**1. David downloading report from an EMR portal**\n\n![uploaded image](/media/?type=post&id=85791&key=user_uploads/1090886/abeb0d09-f12f-40d1-9afd-be02a97357e8)\n\n**2. David** **calculating unrealized revenue**\n\n![uploaded image](/media/?type=post&id=85791&key=user_uploads/1090886/0a585ab1-1749-470f-897d-625600f6dcca)\n\n# **Our Mission 🚀**\n\nAt Careforce our mission is to improve the world's capacity for care.\n\nWithin this coming year, Careforce will solve the interoperability issue for care coordination with David and Angelica and make admin days and admin tasks a think of the past. Doctors, and nurses can finally focus on the patients and a lot more people can get the care they need.\n\n# **Our Ask**\n\n### **Healthcare Orgs:**\n\nLet us take on your calling, coordination, and manual admin work so you can get more patients in the door without burning out your staff. We'd love to learn about your use cases and give you personalized demos unique to your use case. [Book time with us](https://cal.com/helpcare/30min) or email [bettercare@careforce.ai](https://mailto:bettercare@careforce.ai)\n\n### **Healthcare frustrated:**\n\nIf you are annoyed with the state of healthcare, especially around getting care and dealing with the administrative burden of it all. Send us an email at [bettercare@careforce.ai](https://mailto:bettercare@careforce.ai)\n\n![uploaded image](/media/?type=post&id=85791&key=user_uploads/1090886/15ed9b27-e2af-4550-b802-02087ff79cf0)\n\n",
        "url": "https://www.ycombinator.com/launches/MJj-careforce-must-have-ai-agents-for-healthcare-admin",
        "votes": 56,
        "created_at": "2024-11-22T04:13:51.837Z"
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    "name": "Loombotic",
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    "all_locations": "Toronto, ON, Canada",
    "long_description": "Loombotic is automating wire harness manufacturing.",
    "one_liner": "Wire Harnesses in as little as 7 days",
    "team_size": 25,
    "industry": "Industrials",
    "subindustry": "Industrials -> Manufacturing and Robotics",
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    "year_founded": 2024,
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      "url": "https://www.ycombinator.com/people/pete-koomen"
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        "full_name": "Lucas Crupi",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder @ Loombotic",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/lucas-crupi-4a7037177",
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        "full_name": "Ethan Breit",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder @ Loombotic",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/ethan-breit-a7ba81180",
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        "title": "Mechatronics Engineer",
        "url": "https://www.ycombinator.com/companies/loombotic/jobs/gVVi8Uy-mechatronics-engineer",
        "location": "Austin, TX, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Hardware",
        "salary_range": "$90K - $150K",
        "equity_range": "0.10% - 1.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
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          "PCB design"
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        "title": "Robotics Engineer",
        "url": "https://www.ycombinator.com/companies/loombotic/jobs/3C66pEX-robotics-engineer",
        "location": "Austin, TX, US",
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        "role": "Engineering",
        "role_type": "Robotics",
        "salary_range": "$100K - $160K",
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        "title": "Technical Account Executive",
        "url": "https://www.ycombinator.com/companies/loombotic/jobs/BUBbBYH-technical-account-executive",
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        "title": "Content Creator & Social Media Manager",
        "url": "https://www.ycombinator.com/companies/loombotic/jobs/pWrEdog-content-creator-social-media-manager",
        "location": "Austin, TX, US",
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        "title": "Fabricate - Instantly Generate Engineering Drawings",
        "tagline": "Mechanical Engineers spend too much time making engineering drawings. Fabricate does it for them.",
        "body": "# **TLDR**\n\nMechanical engineers **hate** making engineering drawings. Fabricate lets them instantly create engineering drawings for their parts, saving them up to **40** hours every month by doing the tedious work for them.\n\n[Product Video](https://youtu.be/SYAAd9bGSlQ)\n\n# **The Problem**\n\nEngineering drawings are required for every manufactured part, but creating them is tedious and time-consuming. For large industrial projects with **thousands** of parts, engineers spend countless valuable hours on drawings instead of designing new parts. This bottleneck delays production and **wastes** valuable engineering talent.\n\n![uploaded image](/media/?type=post&id=85704&key=user_uploads/1684816/9e451d4b-5f32-4dea-9829-2796f126651f)\n\n# **The Solution**\n\nFabricate analyzes your existing drawings and automatically generates new ones matching your exact standards - from dimensions and annotations to views and formatting. It integrates directly with existing CAD software and maintains consistency across all drawings and manufacturing methods.\n\n# **The Founders**\n\n![uploaded image](/media/?type=post&id=85704&key=user_uploads/1684816/fd42ce0c-7467-431c-84ca-8a3e41a04194)\n\nLucas has been obsessed with CAD his entire life; He became the youngest ever Solidworks expert at 15. Recently, he worked on the Cybertruck battery design.\n\nEthan has been programming since he was 8; most recently worked at Ericsson, a job he was offered for developing an embedded OS on his own at school. \n\nWe met at the Canada Wide Science Fair and have been building together for 6+ years. We both dropped out of university to work on Fabricate.\n\n**Our Ask:**\n\nIf you're making engineering drawings or know someone who is, we'd love to get you started. Email [lucas@tryfabricate.com](mailto:lucas@tryfabricate.com) or book a demo at [tryfabricate.com](http://tryfabricate.com). We're happy to visit your office with donuts to discuss how we can help!",
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    "name": "HumanLayer",
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    "website": "https://humanlayer.com",
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    "long_description": "HumanLayer is a multiplayer coding agent IDE+cloud that works seamlessly from your workstation to anywhere you want to run background agents. It brings agent sessions, plan artifacts, and code diffs together in one place for you team to collaborate and ship. It's built in composable pieces to meet software factory builders where they already are - you can BYO compute, dev environment setup, and harness, or use our full integrated stack.",
    "one_liner": "The multiplayer control plane for your software factory",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1727921167,
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        "answer": "HumanLayer will be the single place where software construction and collaboration happens. Every engineer will ship faster not by replacing humans with AI, but by giving humans the most effective leverage points. Check out <https://hlyr.dev/ace-fca> for more details."
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    "year_founded": 2023,
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        "full_name": "Dexter Horthy",
        "title": "Founder/CEO",
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        "id": 84491,
        "title": "Founding Product Engineer",
        "url": "https://www.ycombinator.com/companies/humanlayer/jobs/oBCZzc7-founding-product-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
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        "role_type": "Full stack",
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        "experience": "6+ years",
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        "title": "The four startups from YC's Fall batch that enterprises should pay attention to | TechCrunch",
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        "id": 85104,
        "title": "HumanLayer - Human-in-the-loop for AI Agents and beyond",
        "tagline": "Approval queues, escalations, and human oversight for every automated process.",
        "body": "Hi 👋 I’m Dex, and I’m building HumanLayer.\n\nHumanLayer lets your software contact humans for feedback, input, and approvals. It’s perfect for\n\n1. Implementing manual approval steps for software- and human-driven workflows\n2. Oversight of autonomous AI agents\n3. Managing the transition between the two\n\nHumanLayer has clients for Python and Typescript and lets you manage approvals across Slack, SMS, email, and other channels. For AI agents, HumanLayer is designed to work with any framework + LLM.\n\nYou can try it today at [humanlayer.dev](https://humanlayer.dev).\n\n<https://www.youtube.com/watch?v=5sbN8rh_S5Q>\n\n> _Ever since I got hands-on with HumanLayer, I’m asking my whole team to think more about Agentic AI workflows - I used to think agents were not worth the effort to get them to production-grade reliability, but now I'm stoked on what is possible when you bring humans into the loop_\n>\n> _–_ Vaibhav Gupta _, Founder_ @ [Boundary](https://www.ycombinator.com/companies/boundary) _(YC W23)_\n\n### Why HumanLayer\n\nBefore HumanLayer, I was building autonomous AI agents. Our idea for an MVP was an agent that would coordinate with humans in Slack and could do basic cleanup, like dropping any Snowflake/SQL table that hadn’t been queried in 90+ days. We had already built a platform to generate recommendations, but we wanted to push the limits of agent frameworks, **we wanted the agent to be able to actually do the work, not just generate the recommendations**.\n\nOf course, we weren’t comfortable with an AI application running raw SQL unsupervised, especially if it had access to drop tables, so we wired in some basic human approval steps.\n\nFrom there, I realized that **the most useful functions we can give to any software are also the most risky**. This is especially true for non-deterministic systems driven by LLMs. I realized that anyone who wants to build agents that do meaningful things will need tools for approval and oversight. So, I started hacking on HumanLayer to enable teams to safely build high-impact agents and put them to work [ambiently and autonomously](https://theouterloop.substack.com/p/openais-realtime-api-is-a-step-towards) in the background.\n\n### Use Cases\n\nWhether you’re hard-leaning into AI or not, HumanLayer helps you build impactful automation that you can ship with confidence because you have humans in the loop for the critical operations. Forget months of tuning or broken use cases on every iteration; **build confidence incrementally** as you observe and test your apps in production (safely!).\n\n* **Internal Automations** - review/approve outbound emails or automated infrastructure changes\n* **Dynamic Data Labeling** - think [RLHF](https://en.wikipedia.org/wiki/Reinforcement_learning_from_human_feedback) driven by the experts in your company - Use collected human feedback for **benchmarking** human vs. AI performance and for **fine-tuning** AI agents\n* **Ship fast and iterate** - Roll out advanced AI features to customers without needing to get to “perfect.” Human review guarantees nothing bad can happen without needing to spend months on evals, tuning, and prompt engineering. Then, iterate based on how your agents behave in production.\n* **Customer-facing** **control and visibility** - help your customers build trust in automations by giving them hooks to approve/review your app’s actions\n\n> _Really enjoying playing with @humanlayer_dev - instead of the manual outreach grind, I just hang out in slack and give my agent feedback as it finds new leads_\n>\n> – Tom Granot, founder, <https://syntaxcinema.dev>\n\n### \n\n### Quick Example\n\nIntegrate HumanLayer into your **python** or **typescript** app using a decorator or webhooks.\n\n![uploaded image](/media/?type=post&id=85104&key=user_uploads/1459029/2ea2f1d9-c06d-4e03-a64e-62c650e1743c)\n\nTo let AI apps contact a human for natural language feedback/input, just pass the `human_as_tool()` function into an AI agent’s tool set.\n\n![uploaded image](/media/?type=post&id=85104&key=user_uploads/1459029/4035e3d6-b850-4e14-b1b1-a64193cb5d75)\n\n### Team\n\n![uploaded image](/media/?type=post&id=85104&key=user_uploads/1459029/f649e7e6-c37d-48d4-88ee-4d265c4983d4)\n\nI’m [Dex](https://linkedin.com/in/dexterihorthy). I am obsessed with helping devs everywhere deliver safe + impactful AI agents.\n\nI spent the last 7 years at <https://replicated.com> where I helped great developer teams like DataStax and H2O.ai build and launch the kubernetes-native versions of their self-hosted products. I worked on container orchestrators, led product teams, and founded the GTM org.\n\nI can’t wait to build the future of AI Agents with y’all.",
        "url": "https://www.ycombinator.com/launches/M8e-humanlayer-human-in-the-loop-for-ai-agents-and-beyond",
        "votes": 48,
        "created_at": "2024-10-29T14:15:47.455Z"
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    "website": "https://apolink.space",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Apolink is a next-generation data relay network designed to provide real-time, low-latency connectivity for satellites in low Earth orbit. By enabling efficient data aggregation and relay through our hybrid RF-optical inter-satellite link (ISL) architecture, we support scalable and resilient space infrastructure across commercial, federal, and defense applications.",
    "one_liner": "24/7 satellite connectivity in low Earth orbit",
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        "full_name": "Onkar Batra",
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        "url": "https://www.ycombinator.com/companies/apolink/jobs/XuQ6tcX-internship-general-app",
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        "url": "https://www.ycombinator.com/companies/apolink/jobs/AABx2Fo-chief-engineer-optical-comms",
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        "url": "https://spacenews.com/apolink-makes-contact-with-first-relay-satellite/",
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    "id": 30131,
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    "long_description": "It's the year of AI agents for healthcare, but we're building what comes after.",
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    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
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        "user_id": 215361,
        "full_name": "Akkshay Khoslaa",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder & CEO @ Asha Health. Previously: led a portfolio of genAI products at Google, founded a community of 250+ healthcare innovators, developed 0-1 products at Facebook, and studied EECS @ UC Berkeley.",
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        "linkedin_url": "https://www.linkedin.com/in/akkshay/",
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        "full_name": "Gokul Kumarresen",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder & CTO @ Asha Health. Previously: led Growth Engineering projects & new initiatives at Brex; built secure data-transfer tools for highly regulated environments, like Government Cloud, at Salesforce.",
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        "id": 109674,
        "title": "Senior Software Engineer, AI",
        "url": "https://www.ycombinator.com/companies/asha-health/jobs/j38rB2o-senior-software-engineer-ai",
        "location": "New York, NY, US",
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        "role_type": "Backend",
        "salary_range": "$185K - $275K",
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        "title": "Head of Product, AI",
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      {
        "id": 117197,
        "title": "Staff Software Engineer, AI Agents",
        "url": "https://www.ycombinator.com/companies/asha-health/jobs/UruUmHN-staff-software-engineer-ai-agents",
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        "role_type": "Full stack",
        "salary_range": "₹7M - ₹13M INR",
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        "visa": "US citizenship/visa not required",
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        "id": 117419,
        "title": "Member of Technical Staff, AI",
        "url": "https://www.ycombinator.com/companies/asha-health/jobs/vqnrvk9-member-of-technical-staff-ai",
        "location": "New York, NY, US",
        "type": "Full-time",
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      {
        "id": 85479,
        "title": "Asha Health: Launch your AI clinic",
        "tagline": "We help medical practices support patients in between visits and generate additional revenue on autopilot.",
        "body": "### **TLDR**:\n\nAsha Health enables medical practices to launch their own AI clinic, designed to fill crucial care gaps that their brick & mortar clinics are too overburdened to address — all while generating additional revenue on autopilot.\n\n### **The Problem**\n\nFor the 120M Americans with chronic conditions, isolated physician visits once every few months aren’t enough. They need consistent education, guidance, accountability, and support, but medical practices are too overburdened with their day-to-day operations to address crucial care gaps like these.\n\n### **The Solution**\n\nUsing Asha, practices can spin up their own AI clinic and configure it to support their chronic condition patients on a weekly basis, in between visits with physicians at their brick & mortar locations.\n\nEach AI clinic:\n\n* Seamlessly coordinates teams of AI agents and AI-assisted auxiliary staff to guide patients to better health outcomes.\n* Runs on autopilot, generating additional revenue with zero effort from the practice’s staff.\n\nPractices across several specialties (ex: Internal Medicine, Cardiology, Pulmonology, Urgent Care, ED, etc) are choosing Asha to:\n\n* Boost margins on care delivery\n* Improve performance on VBC outcomes\n* Increase patient engagement & retention\n* Reduce burden on providers\n\n![uploaded image](/media/?type=post&id=85479&key=user_uploads/215361/b2c570a6-1e63-47c1-ad88-5eefd86eba6d)\n\n### **The Team**\n\nPrior to founding Asha Health, [Akkshay](https://www.linkedin.com/in/akkshay/) was a Google PM leading a portfolio of generative AI products, while [Gokul](https://www.linkedin.com/in/gokul-kumarresen/) led Growth Engineering projects at Brex. After a long personal journey with rare chronic conditions, the longtime (10+ years) best friends teamed up to “fix the healthcare system!!”. They spent over a year leading curated, tactical discussions with digital health operators & CMO’s and then garnered support from major health system executives when it was time to start Asha.\n\n![uploaded image](/media/?type=post&id=85479&key=user_uploads/215361/623f6a99-557a-4ae5-b9b5-fe4af122c2bb)\n\n### **How You Can Help**\n\nIf you know any of the following people, we’d appreciate warm introductions! Simply ping us at [akkshay@asha.health](mailto:akkshay@asha.health) or [gokul@asha.health](mailto:gokul@asha.health).\n\n* Chief Medical Officers or physician executives at hospitals or health systems.\n* Physicians working in medium sized private practices (5-100 providers).\n* Leaders in medical societies, IPA’s, ACO’s, or CIN’s.",
        "url": "https://www.ycombinator.com/launches/MEh-asha-health-launch-your-ai-clinic",
        "votes": 101,
        "created_at": "2024-11-12T15:12:19.262Z"
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    "website": "https://www.edexia.com/",
    "all_locations": "Brisbane, QLD, Australia",
    "long_description": "Edexia is an AI Teacher Assistant for grading essays. It can be trained and controlled by the teacher and can grade assignments from any curriculum, year level, subject, or format. \r\n\r\nLearning like a teacher, Edexia visually breaks down its understanding of the rubric, and updates this as a teacher corrects it.\r\n\r\nOur vision is to transform education by facilitating AI’s safe and effective integration across all institutions and applications. Not using AI to replace teachers but rather to empower them—providing them with all the time and resources they need to develop their students.",
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    "team_size": 4,
    "industry": "Education",
    "subindustry": "Education",
    "launched_at": 1733896630,
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    "batch": "Winter 2025",
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    "url": "https://www.ycombinator.com/companies/edexia",
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    "year_founded": 2023,
    "city": "Brisbane",
    "country": "AU",
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        "full_name": "Daniel Gibbon",
        "title": "Founder/CEO",
        "founder_bio": "CEO of Edexia. Second-time technical founder. Previously built an EdTech to 200k ARR at 18 in 1 year while achieving a perfect GPA. TEDx Speaker on AI in education. Ranked in the top 30 in my state out of high school. ",
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        "visa": "US citizen/visa only",
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          "Python",
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          "Deep Learning",
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      },
      {
        "id": 95100,
        "title": "Founding AI Engineer",
        "url": "https://www.ycombinator.com/companies/bild-ai/jobs/Q1T0Imf-founding-ai-engineer",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $180K",
        "equity_range": "0.10% - 0.40%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 95101,
        "title": "Founding Product Engineer",
        "url": "https://www.ycombinator.com/companies/bild-ai/jobs/dAbC3Gd-founding-product-engineer",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $180K",
        "equity_range": "0.10% - 0.40%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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    ],
    "news": [
      {
        "title": "AI Startup Bild Raises $3.1 Million for More Affordable Housing - Business Insider",
        "url": "https://www.businessinsider.com/ai-startup-bild-3-million-seed-affordable-housing-2025-6",
        "date": "Jul 03, 2025"
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    ],
    "launches": [
      {
        "id": 87575,
        "title": "Bild AI – Read and Understand Blueprints using AI",
        "tagline": "Read construction blueprints to extract material and cost data",
        "body": "# **tl;dr**\n\nBild AI reads construction blueprints and extracts material and cost data for builders. Our software automates the $50B/year spent on manual blueprint processing. Watch our demo [here.](https://youtu.be/Brj5QnphFxg)\n\n# **The Problem**\n\nWorking with construction blueprints to get material and cost estimates is a manual process, involving drawing on blueprints by hand. This is time-consuming and prone to human error, which can lead to tens of thousands of dollars in losses per project. It bottlenecks builders and suppliers from winning new contracts as they’re bogged down with the tedious process of bidding. There are massive manual estimation and bidding teams in-house and outsourced.\n\n# **Our Solution**\n\nWe're bringing construction blueprints into the present with artificial intelligence. Bild AI ingests blueprint files and applies computer vision models and large language models to calculate detailed material quantity and cost estimates for flooring, doors, hardware and more. Our first clients are using Bild AI to bid on 10x more projects, with confidence in the accuracy of the estimates. This is just one application of blueprint processing that our clients use today, but our vision extends to permitting and architecture checks.\n\n![uploaded image](/media/?type=post&id=87575&key=user_uploads/1759634/96a6ca22-fda3-4175-88f2-e41afa960a10)\n\n# **We are \\[Housing|Software\\] Developers**\n\n[Puneet Sukhija](https://www.linkedin.com/in/puneet-bild/) built his first house at 16 and has since overseen hundreds of construction projects, experiencing firsthand the frustration of working with complex blueprints. [Roop Pal](https://www.linkedin.com/in/rooppal/) started at Google at 19 before moving to Waymo, where he built computer vision models to interpret complex traffic signal patterns for self-driving cars. They are exited founders applying their experience to automate blueprint analysis—helping builders focus on what matters: building.\n\n# **Our Ask**\n\nWe’re scaling our sales! Our first clients are flooring suppliers, but we want to help as many builders as possible so you can:\n\n* **Intro** us to builders, general contractors, manufacturers.\n* **Email** us with thoughts and ideas at [founders@bilds.ai](https://founders@bilds.ai)\n* **Upload** your blueprints at [www.bild.ai](https://www.bild.ai/?utm_source=ycombinator_launches)!",
        "url": "https://www.ycombinator.com/launches/MmV-bild-ai-read-and-understand-blueprints-using-ai",
        "votes": 71,
        "created_at": "2025-02-11T15:46:20.177Z"
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    "id": 30181,
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    "website": "https://www.leapingai.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Leaping AI is the best platform to deploy voice and texting AI agents for customer service, lead qualification and appointment scheduling. We target mid-market and Enterprise companies and industries are: home remodeling, roofing, pay per call, travel, retail, health insurance, Medicare, health and real estate.\r\n\r\nWe automated contact centers employing >100 human agents and now handle their incoming customer support and appointment scheduling calls, end-to-end. All while maintaining 90% customer satisfaction score.\r\n\r\nPain points that we solve: missed calls, insufficient speed to lead, not enough call center resources, call center inefficiencies, agents not sticking to the script, etc.\r\n\r\nAt its core, we have a multi-channel outreach campaign feature, whereby our customers can call and text potential leads over an arbitrary time period. If end customers call or text back, the Leaping voice or text AI agent can autonomously schedule appointments and resolve service requests.\r\n\r\nSome of our differentiating features: most-human like voice in the market, CRM integrations in place (Salesforce, Hubspot, MarketSharp, AccuLynx, JobNimbus, LeadPerfection, Google, etc.) and white-glove onboarding (in-person for larger accounts). Our AI agents can hold 100+ conversations at once, speak multiple languages and be equipped with company specific FAQ. Lastly, we have our own number health monitoring and DNC software.",
    "one_liner": "AI voice and texting agents",
    "team_size": 13,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1736780951,
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      "Conversational AI"
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    "regions": [
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      "America / Canada",
      "Remote",
      "Partly Remote"
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    "stage": "Early",
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      {
        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "Home remodeling and roofing companies that we speak to almost always have one of the following pain points: missed calls, not fast speed to lead, insufficient lead follow ups, dropped leads, not enough staff, etc.\r\n\r\nLeaping AI addresses these pain points with an AI voice and texting platform that allows call centers to run multi-threaded calling and texting campaigns over the span of several weeks. We automate both inbound and outbound calling."
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    ],
    "url": "https://www.ycombinator.com/companies/leaping-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/leaping-ai.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/98079414/",
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    "primary_partner": {
      "name": "Garry Tan",
      "url": "https://www.ycombinator.com/people/garry-tan"
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    "founders": [
      {
        "user_id": 1218980,
        "full_name": "Kevin Wu",
        "title": "Founder/CEO",
        "founder_bio": "Founder at Leaping AI, which offers AI voice and texting agents for home remodeling, roofing, etc. Formerly was an Associate at BCG for 3 years. Studied Computer Science at TU Munich and at CDTM.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/kevin-wu-452a6393/",
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      },
      {
        "user_id": 2682699,
        "full_name": "Arkadiy Telegin",
        "title": "Founder",
        "founder_bio": "Co-founder at Leaping AI (W25). We are building the only platform for self-improving voice AI agents. Previously worked in autonomous robotics (self-driving cars, space-tech, and consumer applications). Led Germany's largest space-tech student organization's software division.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/a-telegin",
        "x_url": "https://x.com/akyshnik",
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        "id": 113171,
        "title": "Tech Lead ($220K+ base salary)",
        "url": "https://www.ycombinator.com/companies/leaping-ai/jobs/XoTOFrZ-tech-lead-220k-base-salary",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Engineering manager",
        "salary_range": "$220K - $250K",
        "equity_range": "0.50% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 113435,
        "title": "AI Deployment Strategist (looking for ex-consultants)",
        "url": "https://www.ycombinator.com/companies/leaping-ai/jobs/ijEEN3V-ai-deployment-strategist-looking-for-ex-consultants",
        "location": "San Francisco, CA, US / Remote (US)",
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        "visa": "US citizen/visa only",
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    ],
    "news": [
      {
        "title": "Leaping AI: The Voice AI Agent Platform That’s Jumping the Call Center Industry Forward",
        "url": "https://www.usatoday.com/story/special/contributor-content/2025/10/06/leaping-ai-the-voice-ai-agent-platform-thats-jumping-the-call-center-industry-forward/86547224007/",
        "date": "Oct 30, 2025"
      },
      {
        "title": "BCG Consultant Left to Found AI Startup: Here's What He Learned - Business Insider",
        "url": "https://www.businessinsider.com/bcg-consultant-burnt-out-left-founded-ai-startup-2025-8",
        "date": "Aug 28, 2025"
      },
      {
        "title": "Leaping AI Raised $4.7 Million in Silicon Valley, Struggled in Germany - Business Insider",
        "url": "https://www.businessinsider.com/leaping-ai-raised-millions-silicon-valley-struggled-in-germany-2025-8",
        "date": "Aug 20, 2025"
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    ],
    "launches": [
      {
        "id": 86840,
        "title": "Leaping AI – Automate your complex call center with voice AI!",
        "tagline": "Self-improving AI voice agents to replace your whole call center. At scale.",
        "body": "**TLDR**; Leaping AI creates voice agents for businesses with high call volumes (>100k calls a year). Our voice AI agents are human-like, handle complex workflows, and automate up to 70% of customer support calls while maintaining 90% customer satisfaction. They get better over time.\n\n<https://youtu.be/VZMd2VZW8EA>\n\n# **The Problem**\n\nRunning a call center with humans is expensive.\n\nCurrent voice AI solutions are either outdated or developer focused. With our solution, we target medium to larger sized businesses that want to have a cutting-edge solution, yet don’t have significant developer resources and want an easy to use platform.\n\n# **The Solution**\n\nOur platform allows the deployment of powerful human-like voice AI agents for any customer support and sales support use case. There is a simple user interface to set up multi-stage agents with simple English prompt instructions for behavior and transitions. Agents can speak in multiple languages (English, German, Spanish, Arabic, etc.) and be plugged into your infrastructure with API connectors. All the calls are recorded and can be listened to and analyzed in our platform.\n\n![uploaded image](/media/?type=post&id=86840&key=user_uploads/1218980/f6b54cbc-0421-4256-9040-0a8b4cfdada1)\n\n# **Our voice AI agents self-improve**\n\nPreviously, we spent hundreds of hours together with our clients on manually listening to / evaluating calls and testing new prompts. Now, the agent autonomously performs post-call analysis, changes itself and runs A/B tests to improve prompting! We are seeing real day-on-day improvement on the rate of call transfers to humans while being fully hands off!\n\n# **Case studies**\n\nWe have been live with our product for a couple of months and currently power thousands of calls daily. \n\nSome success stories:\n\n1. We are working with Hawesko, Germany’s largest wine merchant. They historically had >100 human agents and we are now taking 100% of incoming customer support calls for one of their brands (>1.000 calls per day). In select use cases such as wine purchasing, our voice AI agents have been able to autonomously conduct 70% of conversations without any human call transfer.\n2. For another retailer, we ran an outbound campaign on around 1.000 leads that did not complete the onboarding process. Within a week, we were able to convert 30% of leads contacted. When this retailer did similar campaigns in the past with human agents, they achieved the same result, but it took them 5 weeks.\n3. We are working with a Jamaican BPO call center that does Affordable Care Act (ACA) inbound / outbound pre-qualification calls. We are now doing >5.000 calls a day for them with our voice AI agents, taking over pre-qualification and handing over only pre-qualified customers to human agents – saving 1 minute per call on every call.\n\n# **The team**\n\n![uploaded image](/media/?type=post&id=86840&key=user_uploads/1218980/bf93647d-42fa-45da-be1c-ce19c42595d9)\n\nWe are [Kevin](https://www.linkedin.com/in/kevin-wu-452a6393/), [Arkadiy](https://www.linkedin.com/in/a-telegin/), and [Shraey](https://www.linkedin.com/in/shraeybhatia/) – we previously worked at Microsoft, BCG, and IBM Research and are now passionate about disrupting the contact center industry.\n\n# **Our ask**\n\nIf your company has >10 call center agents or works with a BPO doing phone-based customer support and / or sales, we would love to see if our voice AI agents can help you.\n\nLikewise, if you are connected to someone that might be interested in our solution, we would love to get connected.\n\nEmail: [founders@leapingai.com](mailto:founders@leapingai.com)",
        "url": "https://www.ycombinator.com/launches/Mae-leaping-ai-automate-your-complex-call-center-with-voice-ai",
        "votes": 95,
        "created_at": "2025-01-14T22:15:48.657Z"
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    "id": 30182,
    "name": "Flowtel",
    "slug": "flowtel",
    "former_names": [
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    "website": "https://flowtel.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Flowtel is building the next generation operating system for hospitality, powered by modern AI agents that can handle everything from booking to room service. ",
    "one_liner": "The AI Voice agents for hotels",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1738111851,
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    "isHiring": true,
    "nonprofit": false,
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    "status": "Active",
    "industries": [
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      "Infrastructure"
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
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    "url": "https://www.ycombinator.com/companies/flowtel",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/flowtel.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/flowtel-ai",
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    "primary_partner": {
      "name": "Garry Tan",
      "url": "https://www.ycombinator.com/people/garry-tan"
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    "founders": [
      {
        "user_id": 824876,
        "full_name": "Eylon Miz",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder & CEO @ Flowtel - AI Voice agents for hotels",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/eylonmiz",
        "x_url": "https://twitter.com/eylonmiz",
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    "jobs": [
      {
        "id": 88994,
        "title": "Founding Engineer - Staff/Senior",
        "url": "https://www.ycombinator.com/companies/flowtel/jobs/LaddaEz-founding-engineer-staff-senior",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$180K - $250K",
        "equity_range": "0.70% - 3.00%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
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    "launches": [
      {
        "id": 87581,
        "title": "Casixty - Your Reddit Marketing Agent for Technical Audiences",
        "tagline": "Turn Reddit discussions into marketing wins",
        "body": "![uploaded image](/media/?type=post&id=87581&key=user_uploads/824876/a9f19804-29f1-4589-8bd7-2d5cb592c8b1)\n\n**TL;DR** — Technical companies struggle to authentically connect with their audiences on Reddit, missing valuable opportunities for engagement. We built an AI-powered platform that helps you identify and engage in relevant technical discussions, generate authentic responses, and measure impact - all while maintaining your brand voice.\n\nHey! We're Eylon and Yoav, both engineers who discovered firsthand how challenging it is for technical companies to effectively market on Reddit. After successfully growing multiple open-source projects to thousands of stars (including [reactagent.io](http://reactagent.io) and [pezzo.ai](http://pezzo.ai)), we built Casixty to help other technical companies unlock Reddit's potential.\n\n**The Problem** \\\nTechnical companies face four major challenges with Reddit marketing:\n\n1. **Finding the Right Discussions** is like searching for needles in a haystack - manually scanning for relevant conversations is incredibly time-intensive\n2. **Creating Authentic Responses** requires deep technical knowledge and platform understanding - especially challenging for marketing teams\n3. **Measuring Impact** is nearly impossible without proper analytics tied to specific engagements\n4. **Maintaining Consistency** demands significant resources, leading to sporadic engagement that hurts brand presence\n\n**Our Solution** \\\n<https://www.youtube.com/watch?v=zzby3_YHbCs>\\\nCasixty is a digital marketing platform that:\n\n* Indexes your company's knowledge (blogs, docs, etc.) to identify perfect engagement opportunities\n* Generates draft responses that match your brand voice and technical expertise\n* Delivers notifications via Slack for quick action\n* Takes just 3 minutes to onboard and minutes per day to maintain\n* Creates evergreen content (Reddit discussions index well in Google!)\n\n**Customer Success Story** \\\nWe recently worked with a cybersecurity company targeting infosec and MSP audiences. In just 10 weeks, we helped them:\n\n* Generate over 5,000 karma in technical discussions\n* Create thought leadership content that resonated with their audience posted by C levels (CEO, CTO, CMO, CPO, CISO) and SMM team (10 accounts total)\n* Build brand awareness that amplified their Reddit ad campaigns\n\n**Why Us?**\n\n* We're engineers building for engineers - we understand the importance of quality and authenticity\n* We're expanding beyond Reddit soon - Twitter, LinkedIn, Bluesky and more platforms coming in the next few months\n* Our platform delivers measurable results while respecting Reddit's community standards\n\n**YC Special Offer** For YC companies signing up before W25 ends:\n\n* Know someone who needs this? Share code YCFRIENDSREF for 20% off 6 months\n* Unlimited Reddit research, strategy & consultation with founders via Slack Connect for 3 months (Pro plan)\n\nStart free on <https://casixty.com/> or talk to us at [success@casixty.com](mailto:founders@casixty.com)\n\nEylon & Yoav",
        "url": "https://www.ycombinator.com/launches/Mmb-casixty-your-reddit-marketing-agent-for-technical-audiences",
        "votes": 79,
        "created_at": "2025-02-11T17:25:14.438Z"
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    "id": 30188,
    "name": "Hey Telo",
    "slug": "hey-telo",
    "former_names": [
      "Admyral",
      "HeyTelo"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4c17ed7f9d61245a3208aaa608b0fd62f1523873.png",
    "website": "https://www.heytelo.com",
    "all_locations": "BY, Germany",
    "long_description": "Voice AI for Home Services",
    "one_liner": "Voice AI for Home Services",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1739171711,
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2025",
    "status": "Active",
    "industries": [
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    "regions": [
      "Germany",
      "Europe"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/hey-telo",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/hey-telo.json",
    "year_founded": 2024,
    "city": null,
    "country": "DE",
    "linkedin_url": "https://www.linkedin.com/company/heytelo/",
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    "primary_partner": {
      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
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    "founders": [
      {
        "user_id": 1101892,
        "full_name": "Christopher Grittner",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder and CEO at HeyTelo. \n\nPrev led Philippines expansion at Finantier (YC W21), built Tacto's product from scratch as employee #4 (backed by Sequoia and Index), and led product initiatives at Celonis (valued at $13bn). Former Investment Team member at Earlybird Venture Capital. Researched LLMs in Data Analytics at University of Cambridge. BS in Computer Science & Business from Technical University of Munich and studied at National University of Singapore.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/christopher-grittner",
        "x_url": "https://x.com/chrisgrittner",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/684046ddf5607ae3677bbb509c6fa62c1de971a5.jpg"
      },
      {
        "user_id": 1069014,
        "full_name": "Daniel Grittner",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder and CTO at Hey Telo. Previously SDE at Amazon, published first-author computer vision research at ECCV 2022 while at TUM, and built database infrastructure at Celonis. Completed research project in Bioinformatics at ETH Zurich. BS in Computer Science from Technical University of Munich. Dropped out of MS in Computer Science at Technical University of Munich to build Hey Telo.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/daniel-m-grittner",
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      {
        "id": 84580,
        "title": "AI Engineer Internship (4-6 months)",
        "url": "https://www.ycombinator.com/companies/hey-telo/jobs/OSrWaPG-ai-engineer-internship-4-6-months",
        "location": "Munich, BY, DE / Munich, Bavaria, DE",
        "type": "Internship",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "€2.5K - €4K EUR / monthly",
        "equity_range": "",
        "experience": null,
        "visa": "US citizenship/visa not required",
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          "React",
          "Machine Learning",
          "Reinforcement learning (RL)",
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        "id": 94199,
        "title": "Founding AI Engineer",
        "url": "https://www.ycombinator.com/companies/hey-telo/jobs/xcPARQI-founding-ai-engineer",
        "location": "Munich, BY, DE / Munich, Bavaria, DE",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "€70K - €110K EUR",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
        "skills": [
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          "Distributed Systems",
          "Machine Learning",
          "Deep Learning",
          "Next.js",
          "Prompt Engineering"
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        "id": 95534,
        "title": "Founding Founders Associate (Sales)",
        "url": "https://www.ycombinator.com/companies/hey-telo/jobs/FZsuyfE-founding-founders-associate-sales",
        "location": "Munich, BY, DE / Munich, Bavaria, DE",
        "type": "Full-time",
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        "role_type": null,
        "salary_range": "€60K - €90K EUR",
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        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
        "skills": []
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      {
        "id": 95535,
        "title": "Founders Associate Intern (Sales)",
        "url": "https://www.ycombinator.com/companies/hey-telo/jobs/xMop9Qn-founders-associate-intern-sales",
        "location": "Munich, BY, DE / Munich, Bavaria, DE",
        "type": "Internship",
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        "salary_range": "€2K - €3.5K EUR / monthly",
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    "launches": [
      {
        "id": 87553,
        "title": "Hey Telo — Voice AI for the Home Service industry",
        "tagline": "Hey Telo is a voice AI that handles inbound calls and admin work for craftsmen.",
        "body": "Hi! We are [Daniel](https://www.linkedin.com/in/daniel-m-grittner/) and [Chris](https://www.linkedin.com/in/christopher-grittner/), brothers and the founders of Hey Telo.\n\n**TL;DR** — We're building voice-first AI agents that handle phone calls and administrative work for Germany's 1 million craftsman businesses. Our technology turns hours of daily interruptions into seamless and reliable voice AI interactions, helping craftsmen focus on skilled work instead of shuffling paperwork and answering phones.\n\nIf you work or have connections in the Home Service industry, [connect with us today](https://www.linkedin.com/in/christopher-grittner/).\n\n## **The Problem**\n\nEvery time you flip a switch or turn on the heat, a craftsman made it possible. Germany's 1 million craftsman businesses—and the millions more across Europe—don't just maintain our quality of life, they're building our sustainable future through renewable energy and green infrastructure. \n\nBut instead of focusing on this critical work, they're trapped answering phones and shuffling paperwork. Craftsmen are constantly interrupted by calls for quotes, scheduling, and basic questions while they're trying to do skilled work. A single workday can be fractured by dozens of phone interruptions, forcing them to context-switch between complex technical tasks and administrative busywork. \n\nMany end up hiring office staff just to handle calls, cutting into already thin margins. Others miss opportunities because they can't answer the phone while working.\n\n## **The Solution**\n\nHey Telo simplifies how craftsmen handle communication and admin work using advanced voice AI.\n\nInstead of being interrupted by every call and spending hours on paperwork, craftsmen can:\n\n* Let AI handle incoming calls naturally and professionally\n* Automatically schedule appointments and provide quotes\n* Get seamless handoffs for complex inquiries\n\nThat's it. What used to fracture their entire workday now happens seamlessly in the background, letting craftsmen focus on their work while maintaining high quality customer service.Our voice AI feels natural, fast, and human - customers often don't realize they're talking to AI until told.\n\n## **Our Ask**\n\nIf you (or anyone you know) work in the craftsman/home service industry, we'd love to chat with you! Reach out at [chris@heytelo.com](mailto:chris@heytelo.com).\n\n## **About Us**\n\n[Daniel](https://www.linkedin.com/in/daniel-m-grittner/) and [Chris](https://www.linkedin.com/in/christopher-grittner/) are brothers who've been building together since childhood. Daniel (CTO) previously worked at Amazon and published first-author research at ECCV 2022. Chris (CEO) built products at Tacto as employee #4 (backed by Sequoia and Index), Celonis (valued at $13bn), and Finantier (YC W21). Both studied Computer Science at the Technical University of Munich.\n\n![uploaded image](/media/?type=post&id=87553&key=user_uploads/1101892/57526b74-05e6-48cc-8a84-d91a02bcbf5b)\n\n",
        "url": "https://www.ycombinator.com/launches/Mm9-hey-telo-voice-ai-for-the-home-service-industry",
        "votes": 45,
        "created_at": "2025-02-10T21:58:17.128Z"
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    "id": 30189,
    "name": "SubImage",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "SubImage builds maps of your infrastructure to give you visibility on what assets you have and how they relate to each other. This enables any security team to deeply understand their environments and reduce risk.\r\n\r\nSubImage is a managed offering built around the Cartography open-source project, and is founded by members of Cartography's original team.",
    "one_liner": "The Open-Core Security Graph",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Security",
    "launched_at": 1736799545,
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    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2025",
    "status": "Active",
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/subimage",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/subimage.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/subimagesec",
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    "primary_partner": {
      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
    },
    "founders": [
      {
        "user_id": 1645462,
        "full_name": "Alex Chantavy",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder & CEO at SubImage. Former Staff Engineer at Lyft: Created https://cartography.dev, the open source security graph. Built first-of-its-kind container scanning and remediation platform. Former Security Engineer on Microsoft Red Team: did cloud hacking before it was cool. Worked on [REDACTED] at the NSA.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/alexchantavy/",
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      },
      {
        "user_id": 2387134,
        "full_name": "Kunaal Sikka",
        "title": "Founder/President",
        "founder_bio": "Co-founder at SubImage. Previously Member of Technical Staff at Anthropic and Staff Engineer at Lyft. At Lyft, reported directly to CISO, new grad to Staff Engineer in 4 years. Architected SIEM, insider abuse, and vulnerability management platforms. Graduated from University of Washington CS in 2 years.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/kunaals/",
        "x_url": "https://x.com/kunaalsikka",
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    "jobs": [
      {
        "id": 107957,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/subimage/jobs/NCTFgKK-founding-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$170K - $230K",
        "equity_range": "0.50% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
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    ],
    "news": [
      {
        "title": "We've raised $4.2M",
        "url": "https://www.subimage.io/blog/funding/",
        "date": "Oct 21, 2025"
      },
      {
        "title": "Launch HN: SubImage (YC W25) – See your infra from an attacker's perspective | Hacker News",
        "url": "https://news.ycombinator.com/item?id=43161332",
        "date": "Feb 24, 2025"
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      {
        "id": 87887,
        "title": "SubImage: Software that maps your infrastructure",
        "tagline": "The open-core alternative to Wiz",
        "body": "[SubImage](https://subimage.io) maps your infrastructure so that your security team can fix the most pressing risks first. It’s built on top of [Cartography](https://github.com/cartography-cncf/cartography), the open source security graph that we created and that 70+ companies use.\n\n![uploaded image](/media/?type=post&id=87887&key=user_uploads/1645462/73946b9a-a00f-4c1e-8401-1917b2600878)\n\n## **Problem**\n\nIn security, attackers often have to be right just once, but defenders have to be right all the time. \n\nThe scary thing is, given enough time, resources, and motivation, it is a near certainty that an attacker will break into your environment. You need to be ready with detections and controls to catch and evict them.\n\nHowever, most companies, even huge ones, are nowhere near ready for that. They are either inundated with data and stuck deciding what to fix next, or worse, have **poor to no visibility** on high impact risks.\n\nFurther, modern businesses often rely on dozens of cloud and SaaS platforms, so it’s very easy to lose track and make mistakes in configuring access permissions, networking, and other areas to inadvertently introduce an attack path.\n\n## **Solution**\n\nWe originally created Cartography in 2019 to help red teamers (professional corporate hackers) find the shortest paths to their targets. [At the time](https://news.ycombinator.com/item?id=19517977), there was nothing quite like it: other tools weren’t graph-based, didn’t cover the cloud, or weren’t open source.\n\nThe tool grew in popularity when defenders realized that **using an attacker’s mindset** to map out their infra was an immense boon to their work because it cut through the noise, exposing proven attack paths.\n\n![uploaded image](/media/?type=post&id=87887&key=user_uploads/1645462/030c8839-2635-45c8-beda-d6c9b11d1e32)\n\nCartography pulls metadata from multiple sources - SaaS, cloud service providers, a company’s internal services - and writes it to a graph database. This simple technique is incredibly powerful in finding otherwise unseen misconfigurations and attack paths in areas like access permissions, networking, and software vulnerabilities.\n\nSubImage is our fully-hosted solution that picks up where Cartography leaves off: it lets security teams immediately see and take action on the attack paths to their organization’s most sensitive data and secrets without needing to set up or maintain the database and sync jobs behind it.\n\nThe specific fix-action varies: smaller companies may prefer executing AWS CLI commands from an admin session, whereas larger corporations often require automated pull requests within their infrastructure-as-code repositories.\n\n![uploaded image](/media/?type=post&id=87887&key=user_uploads/1645462/d4628233-026a-4118-b6b5-1b41ace550e5)\n\n\n## **Demo: My Stripe API key was stolen**\n\n<https://youtu.be/RBCr35hb5Hk>\n\n## **Demo: Hack my company**\n\nOne of the most effective ways to secure yourself from hackers is to put yourself in their shoes and think about how they would exploit your environment. So, let’s plan an attack on one of SubImage’s storage buckets; it’s kind of like planning to break into a bank vault.\n\n<https://youtu.be/P_meu4_aIVA> \n\nThe above demo shows that we also provide customers access to the underlying graph database so that they can see the internals of our schema and more deeply understand their infra.\n\n## **Roadmap**\n\nOur north star is for security engineers to stop needing to constantly monitor whether infrastructure, new or old, has introduced a risk – we will do it for them.\n\nSpecifically, we plan to\n\n* Integrate with access management systems to **prune excessive permissions** and enforce that certain invariants are maintained\n* Continuously **alert on and remediate** risky infrastructure changes\n* **Show misconfigurations** in any cloud or SaaS based infrastructure, including vulnerability management\n\n## **Asks**\n\n1. If you’re a company that is building out your security team, we’d love to learn about your problems and work together. Let’s [meet](https://cal.com/team/subimage)!\n2. If you are struggling with security visibility or if any of this sounds interesting to you, check out [Cartography](https://github.com/cartography-cncf/cartography/). We would love to get your feedback and have you as part of our community: join the CNCF Slack workspace [here](https://communityinviter.com/apps/cloud-native/cncf) and then join the #cartography channel.\n\n## **Team**\n\n![uploaded image](/media/?type=post&id=87887&key=user_uploads/89898/0f181717-ad90-4cd8-a86c-67debce4c790)\n\nHi! We’re [Alex](https://www.linkedin.com/in/alexchantavy/) and [Kunaal](https://www.linkedin.com/in/kunaals/), and we’ve been working together since 2020 when we met at Lyft. Alex was the lead engineer on Lyft’s vulnerability management program, led penetration tests for Microsoft’s Red Team, and worked on \\[REDACTED\\] at the NSA. Kunaal was a Staff Engineer at Lyft and Member of Technical Staff at Anthropic, and has spent his career solving large security problems like insider abuse, vulnerability management, and architecting SIEMs.",
        "url": "https://www.ycombinator.com/launches/MrX-subimage-software-that-maps-your-infrastructure",
        "votes": 32,
        "created_at": "2025-02-21T04:53:34.911Z"
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    "id": 30190,
    "name": "Steinmetz",
    "slug": "steinmetz",
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6a01f59af390bfd92ad55d1f62a2729543663f92.png",
    "website": "https://steinmetzmotors.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Steinmetz is building the next generation of American power electronics. The next generation of great machines — electric vehicles, robotics, aerospace, and industrial systems — depends on power electronics that are lighter, cheaper, more efficient, and built at real scale.\r\n\r\nWe push the Pareto frontier of power electronics through multi-disciplinary design. We're the OEM that customers actually appreciate.",
    "one_liner": "Next-Generation Power Electronics",
    "team_size": 5,
    "industry": "Industrials",
    "subindustry": "Industrials",
    "launched_at": 1740381508,
    "tags": [
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      "Electric Vehicles",
      "Electronics"
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    "batch": "Winter 2025",
    "status": "Active",
    "industries": [
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "question_answers": [
      {
        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "We both grew up in the suburbs of Toronto and graduated from Mechatronics Engineering at the University of Waterloo. Despite similar journeys we didn’t finally meet until we interned together at Neuralink during our Junior year. We bonded over our passion for engineering and stayed in touch into our Senior year where we built the first Steinmetz inverter. We have both worked in the automotive industry working with low and high voltage systems at Tesla and have experience across the hardware stack. Between us we have worked on billion transistor GPUs, space systems, neural interface ICs, billion record databases, rail systems, and firmware for mass produced consumer electronics. Steinmetz marks a new chapter for us where we are leveraging our broad experience across the hardware stack to enable the next generation of electric vehicles."
      },
      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "Our mission is to accelerate the adoption of electric vehicles of all forms (planes, trains, cars, boats). To achieve this we aim to improve the performance of electric vehicles while **reducing cost** and **volume**. We will enable vehicles that beat their combustion engine equivalents on all metrics. Electric power-trains are capable of achieving nearly **perfect efficiency** converting stored energy to motion which is not possible in combustion engine vehicles. Through the refinement and adoption of electric vehicles we can greatly reduce the cost to transport people and goods. This will have Trillion dollar implications for the global economy."
      }
    ],
    "url": "https://www.ycombinator.com/companies/steinmetz",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/steinmetz.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/steinmetzinc/",
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    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
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    "founders": [
      {
        "user_id": 596175,
        "full_name": "Owen Brake",
        "title": "Founder/CEO",
        "founder_bio": "Multi-disciplinary engineer with a track record of building across industries—from high-performance brake systems to GHz FCC compliance and scaling production SQL databases with 10B+ records.\n\nPreviously developed motor controllers at Tesla. Held diverse engineering roles at Neuralink, Apple, Parallel Systems, and Ford.\n\nMechatronics Engineering graduate, University of Waterloo. Led the Formula Electric team, driving innovation in EV performance.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/owen-brake-39363a169/",
        "x_url": "https://x.com/OwenBrakes",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/84d79cdf3390645334974e2db3c5cdb2f4db2760.jpg"
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      {
        "user_id": 1381592,
        "full_name": "Ethan Childerhose",
        "title": "Founder",
        "founder_bio": "Co-founder and CTO at Steinmetz. Previously at Rocketlab, Nvidia, Tesla, and Neuralink. I've worked across the hardware stack from analog transistor level design to 100 lb mechanical fixtures for environmental testing. My work has reached the moon, been mass produced millions of times, and processed the faintest of signals from the human brain.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/ethan-childerhose",
        "x_url": "https://x.com/BigCrete",
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        "id": 95359,
        "title": "Electrical Engineer",
        "url": "https://www.ycombinator.com/companies/steinmetz/jobs/h4Qjisc-electrical-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Electrical",
        "salary_range": "$100K - $175K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
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      },
      {
        "id": 95360,
        "title": "Generalist Hardware/Firmware",
        "url": "https://www.ycombinator.com/companies/steinmetz/jobs/wMTbVhT-generalist-hardware-firmware",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Hardware",
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        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
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      {
        "id": 95361,
        "title": "Firmware Engineer",
        "url": "https://www.ycombinator.com/companies/steinmetz/jobs/4dbvLf3-firmware-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Embedded systems",
        "salary_range": "$100K - $175K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": [
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          "Rust",
          "Firmware",
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      }
    ],
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    "launches": [
      {
        "id": 88019,
        "title": "Steinmetz - Hardware for the Next Generation of Vehicles",
        "tagline": "Steinmetz, the engine of electric vehicles",
        "body": "Hey YC,\n\nWe are Ethan and Owen, building the engine of electric vehicles. Motor controllers with 3x higher power densities, that remain cost competitive with existing solutions.\n\n<https://www.youtube.com/watch?v=uIQkUCxhIG4>\n\n# The Problem\n\nAutomotive manufacturers are quickly transitioning to electric vehicles but initial offerings remain expensive and are largely unprofitable. This has led to slow adoption compared to their combustion engine counterparts.\n\nWe have both witnessed while working at Tesla, the immense difference in design and cost between Tesla's vehicles, and EVs from existing vehicle manufacturers. Incumbent part suppliers and manufacturers are skilled in the intricate mechanical design of combustion engine vehicles, but lack the electrical expertise for EVs which are primarily chips and PCBs.\n\n# Our Solution\n\nAt Steinmetz, we are starting with the inverter (motor controller). This lies between the battery of the vehicle and the motor--it converts the DC power from the battery into 3 phase AC for the motor. Using modern power electronics techniques and tight systems integration, we are able to deliver a motor controller which achieves 3x greater density than the state of the art, at equal or greater efficiency. This allows us to bring down not only the unit cost of inverters in vehicles today but, through greater density and higher efficiencies, the cost and performance of the whole vehicle.\n\n![uploaded image](/media/?type=post&id=88019&key=user_uploads/1381592/997953eb-7e3b-4ba7-9d07-6a1d21f3c43f)\n\nTo give context for the density improvements here, our bandgap product is able to drive a peak power of 200kW through the equivalent volume of 3 yerba mate cans. This is the same power draw as 450x 4090 GPUs or 6.5 server racks fully populated with H100 GPUs (208 GPUs).\n\n![uploaded image](/media/?type=post&id=88019&key=user_uploads/1381592/981f5792-0f6b-42c9-bb4a-dee43a2c8e2b)\n\n# We are on a mission to simplify electric vehicle hardware and accelerate adoption\n\nIf you are working on any electric vehicle (trains, cars, boats, snowmobiles, cranes, submarines, planes, tractors, etc.) learn more at [steinmetzmotors.com](https://steinmetzmotors.com/) or send us an email: [founders@steinmetzmotors.com](mailto:founders@steinmetzmotors.com)\n\n![uploaded image](/media/?type=post&id=88019&key=user_uploads/1381592/28930e11-55a3-4eda-a40d-693b603f0c01)\n\n![uploaded image](/media/?type=post&id=88019&key=user_uploads/1381592/a0ad2acc-de3a-4227-be09-3a8a768f4c96)\n\n",
        "url": "https://www.ycombinator.com/launches/Mtf-steinmetz-hardware-for-the-next-generation-of-vehicles",
        "votes": 27,
        "created_at": "2025-02-25T17:47:52.712Z"
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Partcl modernizes chip design automation with physics-informed models powered by GPU acceleration. \r\nOur tools run up to 700× faster than legacy solutions, cutting weeks off development and unlocking AI-driven optimization.",
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        "full_name": "William Salcedo",
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        "user_id": 2331977,
        "full_name": "Vamshi Balanaga",
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        "founder_bio": "CTO at Partcl. Previously built embedded ML models at Apple, laser weeding robots at Carbon Robotics, and warehouse automation robots at Fulfil Solutions. Built and launched multiple rockets while running the avionics team at Space Enterprise at Berkeley, \nStanford EECS PhD (dropout), UC Berkeley Physics.",
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        "id": 78506,
        "title": "Founding Engineer (Systems + ML)",
        "url": "https://www.ycombinator.com/companies/partcl/jobs/QYIRyyx-founding-engineer-systems-ml",
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        "role": "Engineering",
        "role_type": "Machine learning",
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        "visa": "Will sponsor",
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      {
        "id": 90311,
        "title": "Partcl: Design Chips in minutes",
        "tagline": "Accelerate time to market for a new chip with Partcl.",
        "body": "Imagine hitting _compile_ and waiting **3 weeks** to learn you missed a semicolon... or **5 weeks** to catch a runtime error.\n\nWelcome to ASIC life.\n\nWe're slashing those weeks down to **minutes** — so you can build better chips, _faster_.\n\n**🤔 Why did we build this?**\n\nDuring our time at Nvidia and other startups, we found that engineers spend large amounts of the 24 month chip design cycle idle, waiting for runs to finish. \n\nPartcl speeds up Physical Design tools by rearchitecting algorithms for GPUs.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXe5Tz9ckaEsmiCOCBRiSkIWoRjsjmlYImpGMRiNjD3CZFjP3cdqz1ak4HZDK-AiUi5j0FQdKDxZg1KI2rG5AafmrCYY-uOiPqU9KHemQSfnwG697XkK2sa2cIsYkjMnY3JCbyG-Lw?key=FiBPpN_VIY8oopQ1FfRq6HI4)\n\n**🧑‍💻What it means for designers:**\n\n* Quick power, performance, and area estimates\n* Fix timing/power bugs in RTL w/out handoff to the PD team\n* Build better chips, faster\n\n**✅What we have right now:**\n\n* 700X faster Static Timing Analysis - enabling super quick performance simulations\n* 100X faster Gate Resizing\n* 100X faster global and detailed placement\n\n**🔜What’s in the pipeline:**\n\n* LSP integration for Incremental synthesis - Synthesis as fast as you can type\n* Natural Language interface to any intermediate database - Directly query the state of your database with text instead of asking a junior engineer to build you a dashboard\n\n**Our Ask**\n\nEmail us at {vamshi, will}@partcl.com to try Partcl and let us know what you think.\n\nAre you building\n\n* **AI Accelerators**? Partcl brings in tapeout deadlines with faster tools, bringing your chip to market faster!\n* **Embedded/ IoT devices**? Partcl decreases NRE by shrinking design cycles. Decreased NRE directly translates to higher margins.\n* **Mobile SoCs**? Partcl’s physics informed models let you optimize the power-performance tradeoff for your use case.",
        "url": "https://www.ycombinator.com/launches/NUd-partcl-design-chips-in-minutes",
        "votes": 33,
        "created_at": "2025-05-12T20:45:49.479Z"
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    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/joinaxiom",
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        "user_id": 1601203,
        "full_name": "Henry Zhang",
        "title": "Founder/CEO",
        "founder_bio": "CEO @ Axiom. Graduated at 20 with 1 exit, excited by all things crypto!",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/henryzhang03/",
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        "full_name": "Preston Ellis",
        "title": "Founder/CTO",
        "founder_bio": "Building consumer applications in crypto!",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/preellis/",
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        "id": 73476,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/axiom/jobs/PYj0leR-founding-engineer",
        "location": "Austin, TX, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
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        "equity_range": "0.50% - 1.50%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
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        "id": 104822,
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        "id": 87688,
        "title": "Axiom - The Gateway to DeFi",
        "tagline": "Trade any asset on any chain, all under 1 account.",
        "body": "**TL;DR:** Axiom is building the first platform that lets anyone trade anything in DeFi.\n\n**The Problem:**\n\n* People in crypto focus too much on the tech rather than the user experience.\n* There are too many protocols and chains.\n* For every new chain and asset, you need to sign up and manage a different account/app.\n\n**The Solution:**\n\nAxiom is building the first app that lets you trade any asset on any chain, with all the technicalities abstracted away. No longer do you have to bridge, swap, manage all your assets through 5 different apps.\n\n<https://youtu.be/QorrOJ2lhYQ>\n\n**Our Ask**\n\nIf you know any crypto influencers, KOLs, high volume traders, please connect us! Can DM @Mist_Axiom on Telegram.\n\n**The Team**\n\n[Henry](https://www.linkedin.com/in/henryzhang03/) - Previously worked at TikTok building generative AI for ads. Graduated in 2 years while building 2 startups full-time with 1 exit.\n\n[Preston](https://www.linkedin.com/in/preellis/) - Previously interned at Doordash, studying EECS at UC Berkeley. Had 1 exit in undergrad.",
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        "votes": 43,
        "created_at": "2025-02-14T01:49:59.488Z"
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    "id": 30194,
    "name": "Splash Inc.",
    "slug": "splash-inc",
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    "website": "https://splash9.com/",
    "all_locations": "Los Angeles, CA, USA",
    "long_description": "Splash is developing the next generation of autonomous surface vessels (ASVs) to provide National Security and defend critical assets such as oil rigs and shipping terminals. Our long-term vision is to make traditional naval vessels obsolete by creating a fleet of low-cost and versatile boats which will be able to dominate the seas. Our expertise in mass manufacturing, engineering and quickly scaling operations will make this vision a reality. ",
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    "subindustry": "Industrials -> Drones",
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        "full_name": "Marcell Veszpremi",
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        "id": 74375,
        "title": "Full Stack Software Engineer",
        "url": "https://www.ycombinator.com/companies/splash-inc/jobs/GR9HdgA-full-stack-software-engineer",
        "location": "El Segundo, CA, US",
        "type": "Full-time",
        "role": "Engineering",
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        "salary_range": "$110K - $160K",
        "equity_range": "0.01% - 0.50%",
        "experience": "3+ years",
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        "url": "https://www.ycombinator.com/companies/splash-inc/jobs/IfgOuhs-robotics-software-engineer",
        "location": "El Segundo, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Robotics",
        "salary_range": "$120K - $200K",
        "equity_range": "0.01% - 0.60%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
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          "Python"
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      },
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        "title": "Mechanical Engineer (Mid-Senior Level)",
        "url": "https://www.ycombinator.com/companies/splash-inc/jobs/tXYqg78-mechanical-engineer-mid-senior-level",
        "location": "El Segundo, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Hardware",
        "salary_range": "$100K - $160K",
        "equity_range": "0.01% - 0.50%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "CAD Design"
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      },
      {
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        "title": "Frontend Engineer (UI/UX)",
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        "role_type": "Frontend",
        "salary_range": "$100K - $160K",
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        "skills": [
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      },
      {
        "id": 100699,
        "title": "General Application",
        "url": "https://www.ycombinator.com/companies/splash-inc/jobs/tagXRig-general-application",
        "location": "El Segundo, CA, US",
        "type": "Full-time",
        "role": "Product",
        "role_type": null,
        "salary_range": "$60K - $120K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 112124,
        "title": "Maritime Logistics Specialist ",
        "url": "https://www.ycombinator.com/companies/splash-inc/jobs/6PwsQ3K-maritime-logistics-specialist",
        "location": "Inglewood, CA, US",
        "type": "Full-time",
        "role": "Operations",
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        "experience": "Any (new grads ok)",
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    "news": [
      {
        "title": "Splash Industries robo-restocks warships at RIMPAC",
        "url": "https://www.axios.com/2026/07/22/rimpac-splash-typhoon-drone-boat",
        "date": "Jul 22, 2026"
      },
      {
        "title": "Splash Industries robo-restocks warships at RIMPAC",
        "url": "https://www.axios.com/2026/07/22/rimpac-splash-typhoon-drone-boat",
        "date": "Jul 22, 2026"
      },
      {
        "title": "Ubiquity Backs Splash: The only startup autonomously resupplying US Navy warships",
        "url": "https://www.nerdyandearly.com/p/ubiquity-backs-splash-industries?utm_campaign=email-half-post&r=5e3n5y&utm_source=substack&utm_medium=email",
        "date": "Jul 21, 2026"
      },
      {
        "title": "CAMRE, FLEETWERX Conduct First-of-Its-Kind Digitally Crewed Surface Vessel Resupply During RIMPAC 2026",
        "url": "https://www.navy.mil/Press-Office/News-Stories/display-news/Article/4551621/camre-fleetwerx-conduct-first-of-its-kind-digitally-crewed-surface-vessel-resup/",
        "date": "Jul 20, 2026"
      },
      {
        "title": "Can new drones, 3D printers defeat distance’s tyranny? RIMPAC aims to find out - Defense One",
        "url": "https://www.defenseone.com/technology/2026/07/can-new-drones-3d-printers-defeat-distances-tyranny-rimpac-aims-find-out/414825/",
        "date": "Jul 15, 2026"
      }
    ],
    "launches": [
      {
        "id": 87871,
        "title": "Splash - Autonomous Patrol Boats for National Security",
        "tagline": "Guarding critical infrastructure against maritime threats",
        "body": "At Splash, we’re building the next generation of unmanned surface vessels to make the seas a safer place.\n\n<https://youtu.be/5eUxjXAmEec>\n\n**The Problem**\n\nMaritime threats are evolving faster than ever before and our most critical assets are at risk. Conflicts around the world have shown the threat autonomous boats pose to both commercial and military vessels, as well as to coastal infrastructure. There is currently no effective defense available.\n\nDomestically, thousands of miles of our maritime borders remain unsecured as the Coast Guard simply doesn’t have the resources to patrol such vast distances. This allows narco-submarines to enter our country unchallenged.\n\nInternationally, certain countries are facing the very real possibility of asymmetric Naval warfare and it is becoming clear that the leaders in autonomy will have major advantages in potential conflicts.\n\nAs our adversaries continue to advance in maritime robotics, these threats will only become more prevalent, and something must be done.\n\n**Our Solution**\n\n![uploaded image](/media/?type=post&id=87871&key=user_uploads/2193228/eba2afb1-f728-4380-a877-00fb0f16326f)\n\nWe’re building autonomous surface vessels (ASVs) to guard maritime borders, support Naval operations and provide security presence around critical pieces of infrastructure such as oil rigs and shipping terminals. Our algorithms will be able to identify suspicious vessels, classify threats and react immediately and autonomously. We’re building both the hardware and software in-house and from the ground up to ensure that everything integrates perfectly so that users can focus on their core missions.\n\nOur vessels are modular, allowing for a variety of payloads from side-scan sonars for bathymetric mapping to deployable UAVs for wind turbine inspections. Although security is our primary focus, there are countless commercial use cases as well.\n\n**Our Progress**\n\nOver the past month, we designed, built and tested (then sunk and re-built) two iterations of our patrol boat. In fact, we moved so fast that we finished building our second one before the diver could even fish out the first. As they say, move fast and break things!\n\nWe’ve recently implemented full autonomy, and have already driven over a hundred miles in San Francisco bay without a single human input.\n\n**The Team**\n\nWe’ve been friends for a decade, and we spent 6 of those years building our previous company in which we designed and manufactured airflow testing tools for government agencies and large industrial companies. Our customers include NASA, Tesla, the US Navy and even Los Alamos National Labs! We’ve manufactured tens of thousands of units across a few dozen SKUs so understand exactly what it takes to make a product at scale, and then sell to the largest of customers.\n\nAs hobbies, we’ve built everything from RC planes to electrohydrodynamic thrusters to deep-sea robots so Splash is a dream-come-true for us. What could possibly be more fun than building a 10ft-long AI-powered jet-boat that goes 70mph? Well… possibly a 100ft one 🙂\n\n**Our Ask**\n\nWe’re always looking to further grow our Defense, Maritime and Oil&Gas connections, so if you know any decision-makers who work in these sectors, we’d love to chat at [founders@splash9.com](mailto:founders@splash9.com)",
        "url": "https://www.ycombinator.com/launches/MrH-splash-autonomous-patrol-boats-for-national-security",
        "votes": 57,
        "created_at": "2025-02-20T19:29:08.780Z"
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    "id": 30205,
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    "website": "https://scoutforschools.com/",
    "all_locations": "New York City, NY, USA",
    "long_description": "The student information system (SIS) is the core system of record in every K-12 school. It tracks students, attendance, grades, schedules, staff, and more - kind of like the ERP for schools.\r\n\r\nLegacy SIS providers do just about that, and not much more. School districts layer dozens of tools on top of their SIS to fill in the gaps.\r\n\r\nScout is an AI-powered student information system that automates school- and district-wide busywork, from day-to-day operations like attendance tracking to annual compliance reports. Our mission is to help school districts run like high-performing organizations, enabling them to provide high-quality, personalized instruction to every student.",
    "one_liner": "AI-powered student information system for K-12 schools",
    "team_size": 8,
    "industry": "Education",
    "subindustry": "Education",
    "launched_at": 1737960750,
    "tags": [
      "Education",
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    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2025",
    "status": "Active",
    "industries": [
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    "regions": [
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    "stage": "Early",
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    "app_answers": null,
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    "year_founded": 2024,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/scout-edu",
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    "primary_partner": {
      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
    },
    "founders": [
      {
        "user_id": 1495921,
        "full_name": "Noah Fichter",
        "title": "Founder/CEO",
        "founder_bio": "Building the next generation of digital infrastructure for America's schools",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/noah-p-fichter/",
        "x_url": "https://x.com/foahnichter",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2801d7de018835906ceeea4645ea03bc7ff7cb65.jpg"
      },
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        "user_id": 502779,
        "full_name": "Max Bertfield",
        "title": "Founder/CTO",
        "founder_bio": "Building software for educators",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/maxbertfield/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ddb9eb905c7decae4e64d6d91e6a3f8afac5c28f.jpg"
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    "jobs": [
      {
        "id": 99645,
        "title": "Software Engineer",
        "url": "https://www.ycombinator.com/companies/scout-4/jobs/bPZHexz-software-engineer",
        "location": "New York City, NY",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 99646,
        "title": "Customer Success Manager",
        "url": "https://www.ycombinator.com/companies/scout-4/jobs/5XFiwpv-customer-success-manager",
        "location": "New York City, NY",
        "type": "Full-time",
        "role": "Support",
        "role_type": null,
        "salary_range": "$75K - $150K",
        "equity_range": "0.10% - 0.25%",
        "experience": "5+ years",
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    "launches": [
      {
        "id": 87832,
        "title": "Scout 🐙 The AI-powered student information system that schools actually enjoy using",
        "tagline": "We automate schools' back-office compliance tasks, enabling them to function as high-performing organizations",
        "body": "**TL;DR:**\n\nThe core system of record in education -- the student information system (SIS) -- is broken. Schools run all of their software on top of it, but most teachers and administrators avoid using their SIS as much as possible. Traditionally, the SIS has been a database with a UI, but we believe that the SIS of the future will be providing “compliance-as-a-service”, handling every administrative task schools have to deal with, so educators at every level can focus on optimizing instruction.\n\n[Demo](https://www.loom.com/share/584f0389606f4b88841efcce59df740c?sid=9e5b78bd-fc67-4341-a299-7d86bb699c16)\n\n**Automated Compliance 💫**\n\nBy law, schools have to collect and report mountains of data. It takes large teams of people a ton of time to ingest, validate, audit, and report data to the government. They develop their own manual pipelines to try to improve these processes, but there’s no unified pipeline, and it often involves several rounds of manual auditing to make sure the data is accurate.\n\nEven with all of these redundant checks, these are manual processes, and schools make mistakes. When the annual audit comes around, schools lose funding for every mistake - and it can come out to hundreds of thousands of dollars in losses.\n\nScout automates the entire school compliance pipeline, from data ingestion to internal audits to government reporting. Our AI agents use drip campaigns to remind parents and students to submit documents, we continuously monitor all data for compliance throughout the school year, and Scout’s end-to-end reporting features compress reporting from a month-long process to something that can be done in a few hours.\n\n**AI-powered outreach**\n\nOne of the biggest time-sinks in compliance is that teachers need to constantly reach out to families for data and documents, track submissions in spreadsheets, continue to follow-up until everything’s been submitted, and then manually validate each document, starting the whole cycle again if something’s invalid. We’ve heard some teachers refer to themselves as “professional nags”.\n\nOther industries that are outreach-heavy have already solved this problem. For example, HubSpot has solved this for sales by automating follow-ups until prospects respond.\n\nScout treats each student like a customer in a CRM: students moves through a variety of funnels, from annual tasks like enrollment and re-enrollment to daily tasks like tracking attendance or engagement with online curriculum providers. Scout’s built-in drip campaigns make sure students and parents complete tasks without teacher or administrator involvement, only flagging the students who need attention and removing the burden on schools to manually track all of these funnels.\n\nScout’s AI agents automatically reach out to parents and students via phone, email, text, and the Scout mobile app to get them to fill out forms, upload documents, mark excused absences, and more.\n\n![uploaded image](/media/?type=post&id=87832&key=user_uploads/1495921/093d586b-f015-49f7-8bae-ef39d01de1ce)\n\nRight now, schools put multiple levels of compliance checks in place to make sure that submitted documents are valid. To reduce the number of humans that need to check over each document, Scout proactively scans every document for compliance on ingestion, highlighting exactly what’s wrong and how to fix it. With Scout, schools reduce the possibility for human errors while avoiding the back and forth that comes with invalid documentation.\n\n![uploaded image](/media/?type=post&id=87832&key=user_uploads/1495921/4b705cad-b848-44fb-bf55-4d6530b68add)\n\n**24/7 internal audits**\n\nThroughout the course of the school year, Scout monitors every dimension of compliance, highlighting only the items that need attention. With Scout, schools can shift their mental model from checking every single document and database row for compliance to only looking at the ones that are out of compliance - saving as much as 95% of the time they spend on compliance tasks.\n\n![uploaded image](/media/?type=post&id=87832&key=user_uploads/1495921/1b4e76e6-86cd-49fe-943b-64a4f0f655c4)\n\n**End-to-end government reporting**\n\nThroughout the school year, California schools need to report information to a number of state and federal bodies, including the California Department of Education (via a number of systems like CALPADS, PADC, and ConApp), and the federal Department of Education’s Office of Civil Rights. These reports often take weeks to compile, because data errors aren’t discovered until submission, and understanding exactly what’s wrong and how to fix it is an extremely time-consuming process. Current SIS providers don’t report directly to the state, so schools are exporting CSVs, and their edits aren’t reflected in the SIS.\n\nScout manages the reporting process end-to-end with proactive error discovery, a step-by-step error resolution flow, and automated submission without leaving the page.\n\n![uploaded image](/media/?type=post&id=87832&key=user_uploads/1495921/344b8853-ec8c-451d-84c0-6e95c6ee5cc4)\n\n# **Our team** 🤼\n\nNoah (CEO)\n\n* coding since 12 years old, started his first company at 17 selling licenses to a sneaker bot (500K ARR)\n* first engineer at Slash (S21), where he worked for 3 years, bringing dozens of products and features from zero to one\n* degrees from UMD in CS and education policy\n\nMax (CTO)\n\n* coding since 13 years old, early eng at a number of startups\n* led a product/engineering team at TodayTix for 4 years\n* CS degree from UCL\n\nWe met on the first day of high school in 2013, and we’ve been best friends ever since, hacking on side projects like sneaker bots throughout high school and college.\n\n![uploaded image](/media/?type=post&id=87832&key=user_uploads/1495921/88c7fa91-cb9b-4202-af7b-12f5b1f930cc)\n\n# **Our ask** 🙏\n\nIf you know anyone who works at a school district or charter school in California, particularly if they oversee compliance/reporting/other administrative tasks, please send them this post or connect us!\n\nIf you’d like to see a demo of Scout, send me an email at noah@teachwithscout.com. Thanks!",
        "url": "https://www.ycombinator.com/launches/Mqe-scout-the-ai-powered-student-information-system-that-schools-actually-enjoy-using",
        "votes": 31,
        "created_at": "2025-02-19T21:09:18.432Z"
      }
    ]
  },
  {
    "id": 30207,
    "name": "Promptless",
    "slug": "promptless",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3b841846a6a116e07034a08b5b57b9bfb7b3d183.png",
    "website": "https://promptless.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Docs are integral to a great customer experience, but managing them is a challenging, multi-team effort. The most successful companies recognize that fantastic docs drive adoption and bad ones cause customers to churn. Promptless is used by fast-growing startups and Fortune 500 enterprises alike to automatically update docs based on feature releases, support tickets, internal Slack conversations, and more.\r\n\r\nPromptless is designed to be flexible—it can integrate with any docs platform, be triggered automatically from many workflows, and can pull in context from any internal knowledge source.\r\n\r\nWith Promptless, documentation becomes a strategic advantage for growth, not a bottleneck or a liability. ",
    "one_liner": "An AI teammate that automatically updates your customer-facing docs",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1734445501,
    "tags": [
      "Developer Tools",
      "Generative AI",
      "SaaS",
      "B2B",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2025",
    "status": "Active",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
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    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/promptless",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/promptless.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/promptless",
    "x_url": "https://x.com/promptlessai",
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    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
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    "founders": [
      {
        "user_id": 729272,
        "full_name": "Prithvi Ramakrishnan",
        "title": "Founder",
        "founder_bio": "Prithvi co-founded Promptless.\n\nBefore Promptless, he served as VP of Product & Engineering at Bond, a fintech infrastructure startup acquired by NYSE:FIS in 2023. There he saw firsthand the effort required to maintain hundreds of tutorials and guides and the outsized business impact of world-class documentation.\n\nPrithvi graduated from Stanford in 2015 (B.S. CS, AI track). He was also a 4-time International Mathematical Olympiad (IMO) participant, including as the youngest participant in 2008.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/prithvi-r",
        "x_url": "https://x.com/prithviramak",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ef6c25924a3161ded0b11ea43e92f9c28d8ff842.jpg"
      },
      {
        "user_id": 609516,
        "full_name": "Frances Liu",
        "title": "Founder",
        "founder_bio": "Frances is building Promptless, helping companies keep customer-facing content up-to-date. Prior to Promptless, Frances led product, ML/AI engineering, and LLM ops on petabyte scale at Cloudflare, OneSignal, and Graft. Yale undergrad. Stanford PhD drop-out. Has published LLM research.\n",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/frances-liu-1a426057",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9db137d9786ef251cc147edf1476c4d310d567f3.jpg"
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    ],
    "jobs": [
      {
        "id": 85109,
        "title": "Founding Engineer (All Levels)",
        "url": "https://www.ycombinator.com/companies/promptless/jobs/FdJSR55-founding-engineer-all-levels",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$140K - $200K",
        "equity_range": "0.40% - 2.00%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
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      {
        "id": 87446,
        "title": "Promptless: An AI teammate that automatically updates your customer-facing docs",
        "tagline": "Promptless proactively drafts updates to your docs while you ship software and support customers",
        "body": "Hello! We’re Frances and Prithvi, founders of Promptless. \n\n# tl;dr\n\nDocs are integral to a great customer experience, but managing them is a challenging, multi-team effort. The most successful companies recognize that fantastic docs drive adoption and bad ones cause customers to churn. Promptless is already used by fast-growing startups and Fortune 500 enterprises alike to automatically update docs based on feature releases, support tickets, internal Slack conversations, and more. [Get started today](http://gopromptless.ai)! \n\n<https://www.tella.tv/video/promptless-automatically-update-your-docs-690g>\n\n# The Promptless Approach\n\n**Promptless drafts updates proactively for easy review**\n\n* Our AI agents monitor your software changes for when a documentation update might be needed, and can be triggered from a Slack conversation in one click. No prompt engineering required—hence the name _“Promptless”_.\n\n**Promptless lives where you work and can be triggered anywhere**\n\n* Instead of forcing you into yet another platform, Promptless integrates into your Slack channels, Github repos, Notion databases, Jira/Linear issues, Zendesk/Intercom tickets, and CMS platform.\n\n**Promptless-written docs are designed to maximize value to your customers**\n\n* Promptless is designed to prioritize accuracy, simplicity, and discoverability—ensuring that your customers can be onboarded quickly and can self-support without reaching out to your team.\n\n **Promptless is built for all kinds of customer docs**\n\n* Whether your docs are product tutorials, help-center articles, or developer guides, Promptless can handle it, and infers the style and structure of your documentation by reading your entire docs site.\n\n![uploaded image](/media/?type=post&id=87446&key=user_uploads/729272/8196d287-25b1-4175-877b-92f03d41cf74)\n\n# How Customers Use Promptless Today\n\nPromptless is designed to be flexible—it can integrate with any docs platform, be triggered automatically from many workflows, and can pull in context from any internal knowledge source. Just a few examples: \n\n[Vellum](http://vellum.ai) (YC W23) has tons of Slack Connect channels with their key customers—they use Promptless to automatically trigger doc updates whenever their team answers a customer question that should be covered in their public guides. \n\n[Clay](https://clay.com/) (breakout prospecting super tool) has a product team that publishes biweekly changelogs and a content team that manages their guides—they use Promptless to automatically bridge that gap and draft new and updated guides whenever there’s a product update.\n\nA Fortune 500 company has full-time technical writers, but the context surrounding every change is spread across Linear, Confluence, and Slack–Promptless automatically assembles the relevant context and drafts doc updates for every PR, making every technical writer twice as productive. \n\n![uploaded image](/media/?type=post&id=87446&key=user_uploads/729272/0a2388b3-a021-423b-80ba-3dc4d94a23f5)\n\n# Our Team and Expertise\n\nFrances and Prithvi have both run teams where great docs were a critical part of the customer experience. At OneSignal (YC S11) where Frances was Head of Data Science, she saw that docs engagement within the first 24 hours was directly tied to the biggest predictors of customers' lifetime value. At Bond (acquired by NYSE:FIS) where Prithvi was VP of Product and Engineering, he saw the challenging, multi-team effort that it took to maintain great customer docs, and wrote many of the guides himself. \n\n# Try it out!\n\nIf your team wants to spend less time maintaining docs and more time building great product and serving customers, email us at [founders@gopromptless.ai](mailto:founders@gopromptless.ai) or book some time on our calendar [booking link.](http://cal.com/team/promptless/15m-discovery-call)\n\n![uploaded image](/media/?type=post&id=87446&key=user_uploads/729272/c0ad621e-2366-4b3a-9c6c-e460fd1634b1)\n\n",
        "url": "https://www.ycombinator.com/launches/MkQ-promptless-an-ai-teammate-that-automatically-updates-your-customer-facing-docs",
        "votes": 106,
        "created_at": "2025-02-05T18:56:49.595Z"
      }
    ]
  },
  {
    "id": 30209,
    "name": "Closure",
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        "title": "🦷 Toothy.ai: Automating insurance verification & claims for dental clinics",
        "tagline": "Our AI agents automate insurance verifications, claims filing, payment posting (including checks), denials, and follow-ups.",
        "body": "### **Tl;dr**\n\n* [Toothy.ai](http://Toothy.ai) is building HIPAA-compliant AI agents that automate all the back office functions in a dental practice. Our first two agents automate the entire revenue cycle, so dental practices can sit back and watch the insurance payments roll in [😎](https://emojipedia.org/smiling-face-with-sunglasses)\n* Our AI handles everything from insurance verification, claim creation, claim submission, denial correction, claim resubmission, and payment posting.\n* We're already seeing early customers cutting their back office teams by 50-75% within weeks of implementing Toothy.\n\n### **Launch video**\n\n<https://youtu.be/y5VQe82PdGI>\n\n### **❌ The problem**\n\n* Dental practices **waste 800 million hours** and **$13.2 billion** per year on time-consuming and repetitive back-office tasks. On top of that, dental practices are facing an unprecedented labor shortage and **90**% of them find it extremely or very challenging to fill vacant positions.\n* The largest, most time-consuming, and error-prone part of a dental practice’s back office is revenue cycle management (RCM)—the process of getting paid. **80%** of dental practices face financial concerns due to RCM challenges. Tasks like insurance verification, claim submission, and payment posting are labor-intensive and prone to errors. Frequent policy changes make it difficult to verify coverage, leading to billing discrepancies and delayed payments.\n\n### **✅ The solution**\n\n![uploaded image](/media/?type=post&id=87923&key=user_uploads/2386492/97bc335c-1d5b-4c4a-ab85-e45f800ca7b2)\n\n* Toothy’s AI agents automate the entire RCM process, **saving practices 160+ hours per month and increasing revenue by 5-10%**. Our AI agents handle everything from insurance verification to payment posting, eliminating the largest source of administrative burden.\n* How do our agents work?\n  1. **☎️ Verify Insurance** – Calls payers and check online portals to confirm coverage.\n  2. 📝 **Input data** - Fills out and uploads a comprehensive breakdown form with 50+ codes into your practice management system.\n  3. 📬 **Create and submit claims** - Accesses imaging software, clinical remarks, and plan details to create & submit comprehensive claims.\n  4. 🛠️ **Correct denials** - Understands denial reasons, updates the claim, and resubmits to payers. Can even draft appeal letters.\n  5. **💰 Payment posting** - Collects, scans, and deposits insurance checks into your bank account.\n* Toothy becomes your full-time RCM team, reducing staff workload and ensuring faster, higher reimbursements.\n\n### **🙏 Our Ask**\n\n* Toothy is already working with dozens of forward-thinking dental practices who never want to deal with insurance again. If that sounds like you, we'd love to talk:\n  * 👉 Book a demo: [Here](https://calendly.com/toothy-ai/toothy-ai-demo)\n  * Learn more: [toothy.ai](http://toothy.ai)\n* For other inquiries, please email [founders@toothy.ai](mailto:founders@toothy.ai)",
        "url": "https://www.ycombinator.com/launches/Ms7-toothy-ai-automating-insurance-verification-claims-for-dental-clinics",
        "votes": 76,
        "created_at": "2025-02-22T18:42:24.753Z"
      }
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    "id": 30223,
    "name": "a0.dev",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "a0.dev is a platform that helps mobile developers build high quality apps in days instead of weeks by generating custom react native projects. We've launched top ranking apps that have been used by hundreds of thousands, and now we're creating the tools we wish we had to build faster.",
    "one_liner": "We make mobile apps using AI.",
    "team_size": 3,
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    "launched_at": 1737327618,
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    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/a0-dev",
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        "full_name": "Seth Setse",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder @ a0.dev | CMU ‘23 | Serial App Developer",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/seth-setse-0641b6175",
        "x_url": "https://twitter.com/SethSetse",
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      },
      {
        "user_id": 1671930,
        "full_name": "Ayomide Omolewa",
        "title": "Founder/CTO",
        "founder_bio": "a0.dev, Nvidia, Paramount, Google, Lockheed Martin",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/omolewa",
        "x_url": "https://www.twitter.com/TheDonAyo",
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    "jobs": [
      {
        "id": 94204,
        "title": "Founding Growth Lead (Contract-to-Hire)",
        "url": "https://www.ycombinator.com/companies/a0-dev/jobs/V7cGC6Z-founding-growth-lead-contract-to-hire",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$140K - $180K",
        "equity_range": "0.40% - 1.00%",
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        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 94207,
        "title": "Founding Brand and Content Lead (Contract-to-Hire)",
        "url": "https://www.ycombinator.com/companies/a0-dev/jobs/SbEHSvR-founding-brand-and-content-lead-contract-to-hire",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
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    "launches": [
      {
        "id": 91846,
        "title": "a0.dev - Phase 1: We're all gonna make apps (WAGMA)",
        "tagline": "Build mobile apps in minutes using AI.",
        "body": "![uploaded image](/media/?type=post&id=91846&key=user_uploads/1607594/d98552b9-2959-4309-9fbe-f064cf3849f1)\n\nHey YC! 👋 \\\n\\\nWhen we first launched earlier this year, we set out with a bold vision: what if anyone, regardless of technical background, could turn their ideas into real mobile apps in minutes instead of weeks? After seven years of building our own apps, we’ve spent the last five months working tirelessly to supercharge a0 – and now, thanks to that effort, we’re all going to make apps.\n\nhttps://www.youtube.com/watch?v=74ZzymZO7fw\n\n### **So what’s new in Phase 1?**\n\nTo start, we created the world's fastest iOS build process - literally seconds from code to installable app on your phone.\n\nThis lead into One-click App Store submission that handles all the Apple provisioning nightmare for you\n\nWe also shipped lots of improvements to our code-gen like Agent Mode with thinking capabilities that can read files, search context, and solve complex problems.\n\nAnd we built-in payments support to a0.dev so you can start monetizing your apps immediately\n\nYou can read the full breakdown in our [blog post](https://a0.dev/blog/phase-1-wagma).\n\n### Isn’t \\____\\_ already doing this?\n\nWe know AI app builders are a popular idea these days. We were the first to launch an AI mobile app builder and have seen many competitors pop up after us, some even from YC. To us, it’s just more proof that this idea is worth working on. We’re taking a different approach to building a0 that comes from our experience as app developers and we’re confident it will be the correct one.\n\nWe didn't just build another no-code tool. We built an AI-native platform that wraps the entire app development experience from idea -&gt; app store. Our agent builds beautiful UI and even handles the back-end. Combined with instant iOS builds, we're removing every friction point between idea and getting your app on the store.\n\nThe response from our first launch has been incredible - 100k+ developers are shipping apps faster than ever with a0.\n\nOur new mantra is WAGMA: We Are All Gonna Make Apps , because we genuinely believe with a0 everyone has the power to get to the app store.\n\nWelcome to Phase 1.",
        "url": "https://www.ycombinator.com/launches/NtO-a0-dev-phase-1-we-re-all-gonna-make-apps-wagma",
        "votes": 11,
        "created_at": "2025-07-03T18:24:33.801Z"
      },
      {
        "id": 87417,
        "title": "a0.dev: Build Mobile Apps in Minutes",
        "tagline": "Generate, preview, and refine your app—all in one place.",
        "body": "Hey everyone, we’re [Seth](https://x.com/sethsetse) and [Ayo](https://x.com/TheDonAyo) and – co-founders of [a0.dev](http://a0.dev)\n\n**tl;dr**\n\n[a0.dev](http://a0.dev) is the fastest way to build React Native apps.\n\nWe generate the **entire front end** of your app for you—navigation, state management, and UI screens, all set up and ready to go.\n\nNeed to prototype a single screen instead? We also built a Component Generator, like **v0 but for React Native**, so you can quickly create and export screens with clean, production-ready code. Check out a quick demo video👇.\n\n<https://youtu.be/GXVqQHJCCac>\n\n# **The Problem:** _Building Apps is Hard_\n\nLaunching a mobile app is much harder than releasing a website. Setting up your project, coding every screen, managing state, and integrating the backend can take **weeks**.\n\nAnd if you’re building for iOS, you need a Mac to run Xcode, deal with provisioning profiles, and compile your app—just to test it.\n\n[**a0.dev**](http://a0.dev) removes these barriers. We generate your app’s front end in minutes and let you preview it right away—no Mac, no complicated setup, no waiting.\n\n# **Our Solutions:**\n\n**#1 Full App Generator –** Build a complete React Native app\n\n[a0.dev](http://a0.dev) takes care of the entire front end of your mobile app—so you can go from idea to working UI in minutes.\n\n✅ **Instant App Generation** – Describe your app, and we generate a complete React Native project with navigation, state management, and essential UI screens.\n\n✅ **Live Preview & Hosting** – Share your app instantly with anyone, no need for TestFlight or manual builds. We host your app so you can test and iterate faster.\n\n✅ **Remote Development Environment** – Work on your app from anywhere via an SSH-powered cloud IDE, with real-time reload and collaboration.\n\n🚀 **Faster to Market** – We’re proving that high-quality mobile apps can be built in record time. We both shipped fully functional apps to the App Store in **under 24 hours** using [a0.dev](http://a0.dev).\n\n\\\n**Check out our demo** where we made a chess timer app in <10 minutes.\n\n[**https://www.youtube.com/watch?v=G_upRVS63Fk**](https://www.youtube.com/watch?v=G_upRVS63Fk)\\\n\\\n**#2 Component Generator –** Like **v0, but for React Native**\n\nAlready have an app or need to quickly prototype a single screen? Our Component Generator lets you create custom React Native UI screens in seconds.\n\nWhile our focus is on building entire apps, our component generator helps you iterate and test ideas **faster than ever.** Try it out [here](https://a0.dev).\n\n![uploaded image](/media/?type=post&id=87417&key=user_uploads/1607594/35f5044d-d40a-4dba-8fb7-71ef8ffddc7c)\n\n**Our Story & Vision**\n\nWe started as indie app developers, making side income with apps generating up to $14k MRR. But we realized how hard it was for others to do the same. Our goal is to make mobile app development even easier than building websites. We want more people to be able to make a living creating and selling their own software. [a0.dev](http://a0.dev) is the platform we wish we had when we started—and now we’re building it for you.\n\n**Our Ask**\n\n* If you’re a mobile app developer who wants to make a new app or an aspiring app developer looking to enter the scene, contact us and try a0, we’ll help you create and launch your app in < 3 days.\n\n**Get Started**\n\n* Try our Component and Full App Generator at <https://a0.dev>\n* Follow our journey on X: <https://x.com/a0_dev>\n\n_Need to reach the founders?_\n\nEmail: [**founders@a0.dev**](mailto:founders@a0.dev)",
        "url": "https://www.ycombinator.com/launches/Mjx-a0-dev-build-mobile-apps-in-minutes",
        "votes": 142,
        "created_at": "2025-02-04T21:52:45.423Z"
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    "id": 30224,
    "name": "Maritime Fusion",
    "slug": "maritime-fusion",
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    "website": "https://maritimefusion.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Maritime Fusion is building fusion reactors for ships and off grid energy markets. En route on this endeavor we’re commercializing High Temperature Superconducting (HTS) cable technology for power distribution while advancing the physics basis of our HTS tokamak to decarbonize global shipping. \r\n\r\nBreakeven fusion is coming soon, but the first-of-a-kind (FOAK) reactors will be costly, high maintenance, and have low capacity factors, leading to 5–10x higher electricity cost on the grid. Maritime Fusion is pursuing the most widely accepted approach to fusion, the tokamak, but specifically designed for the marine environment where the challenges that arise between breakeven and a commercially viable energy source are alleviated. The market we're targeting requires 15x less power, lower up-time, and costs the same as alternative fuels but without any emissions. Since fusion does not use highly radioactive fuels or materials – unlike fission – we sidestep the vast majority of regulatory challenges and safety risks associated with nuclear energy. Our team brings over a decade of industry and research experience in plasma physics, nuclear engineering, and electrical engineering with backgrounds at SpaceX, Tesla, Columbia University, and University of Pennsylvania.",
    "one_liner": "Fusion reactors for ships",
    "team_size": 6,
    "industry": "Industrials",
    "subindustry": "Industrials -> Energy",
    "launched_at": 1739572830,
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    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/maritime-fusion",
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    "primary_partner": {
      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
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    "founders": [
      {
        "user_id": 2336806,
        "full_name": "Justin Cohen",
        "title": "Founder/CEO",
        "founder_bio": "Nuclear engineer and plasma physicist working on fusion reactors for defense and commercial shipping applications. Previously Tesla, SpaceX, Columbia University, Princeton Plasma Physics Laboratory, NC State.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/justin-cohen707",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c63b262e560db673d53a59a25f5d906a3b7acaef.jpg"
      },
      {
        "user_id": 2364454,
        "full_name": "Jason Kaufmann",
        "title": "Founder/CTO",
        "founder_bio": "I'm a hardware engineer with a passion for building cool electronics and systems. With a background in physics and computer engineering from Penn, I've worked on everything from AI hardware at Tesla to power systems for rockets at SpaceX. Currently focused on making a fusion reactor for ships.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jasonskaufmann/",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/de5bd445a30e5ded336464f26afb4873ba9b1435.jpg"
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    ],
    "jobs": [
      {
        "id": 75503,
        "title": " Member of Technical Staff - R&D Engineering",
        "url": "https://www.ycombinator.com/companies/maritime-fusion/jobs/jF7a5Wc-member-of-technical-staff-r-d-engineering",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Hardware",
        "salary_range": "$120K - $200K",
        "equity_range": "0.10% - 1.00%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 75505,
        "title": "Member of Technical Staff - Plasma Physics",
        "url": "https://www.ycombinator.com/companies/maritime-fusion/jobs/sX8ipt6-member-of-technical-staff-plasma-physics",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
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      },
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        "id": 85661,
        "title": "R&D Technician",
        "url": "https://www.ycombinator.com/companies/maritime-fusion/jobs/vbJGLSZ-r-d-technician",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Hardware",
        "salary_range": "$100K - $160K",
        "equity_range": "0.10% - 0.25%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 85662,
        "title": "Business Development & Strategic Partnerships Lead",
        "url": "https://www.ycombinator.com/companies/maritime-fusion/jobs/fpZ2pbI-business-development-strategic-partnerships-lead",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$120K - $200K",
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        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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    ],
    "news": [
      {
        "title": "This startup wants to build a fusion reactor — on a boat | TechCrunch",
        "url": "https://techcrunch.com/2025/11/24/this-startup-wants-to-build-a-fusion-reactor-on-a-boat/",
        "date": "Nov 24, 2025"
      }
    ],
    "launches": [
      {
        "id": 87909,
        "title": "Maritime Fusion - Fusion reactors for ships",
        "tagline": "The application where first generation fusion reactors can thrive",
        "body": "[We are building the first fusion reactors for marine applications](https://www.youtube.com/watch?v=5ThTnDoKzLU)\n\n**The Problem**\\\nBreakeven fusion is on the horizon, but first-of-a-kind (FOAK) reactors will be expensive, high-maintenance, and have low capacity factors, leading to 5–10x higher electricity cost on the grid. Additionally, these reactors face significant physics challenges for steady-state operation, such as managing first wall heat flux and mitigating nuclear activation of structural components that require novel materials to solve.\n\n**The Solution**\\\nWe are leveraging the most proven approach to fusion energy, the HTS tokamak, but designed specifically for maritime applications. This reactor bridges the gap between achieving breakeven fusion and commercial viability. Our target market, commercial shipping vessels, require 15x less power and lower uptime compared to traditional grid reactors all while matching the cost of alternative bunker fuels—without any emissions. Operating at reduced power densities also alleviates many of the materials hurdles, paving the way for a more robust and reliable technology in the near term. We’re also leveraging the same reactor to meet the Department of Defense’s need for mobile power plants via Ship-to-Shore power.\n\n![uploaded image](/media/?type=post&id=87909&key=user_uploads/2336806/28482a6e-e905-4e36-9aad-41bd64336dff)\n\n**Who We Are**\\\nOur team brings over a decade of industry and research experience in plasma physics, nuclear engineering, and electrical engineering with backgrounds at SpaceX, Tesla, Columbia University, and University of Pennsylvania. We first met at SpaceX while conducting radiation tests for Starship electronics, and later worked together at Tesla on Cybertruck and Optimus.\n\n![uploaded image](/media/?type=post&id=87909&key=user_uploads/2336806/3b3e4061-2aff-4cb0-a183-5755dc8fae50)\n\n**How the YC Community Can Help**\\\nWe’re in process of making inroads to the Department of Defense, Navy, DARPA, and Department of Energy, as well as connections to the commercial shipping industry, if you know anyone we should speak with please reach out!\\\n[maritimefusion.com](http://maritimefusion.com)\\\n[founders@maritimefusion.com](mailto:founders@maritimefusion.com)",
        "url": "https://www.ycombinator.com/launches/Mrt-maritime-fusion-fusion-reactors-for-ships",
        "votes": 28,
        "created_at": "2025-02-21T20:38:05.707Z"
      }
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  {
    "id": 30228,
    "name": "Weave",
    "slug": "weave-3",
    "former_names": [
      "WorkWeave"
    ],
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    "website": "https://weaveos.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Weave builds AI to understand engineering work from prompt to production. We show how much faster AI is making your team, how that impacts quality, and what it's costing. \r\n\r\nWeave then takes that data to route all of your tasks to the most cost efficient model without compromising speed or quality.\r\n\r\nWeave is used by over 500+ orgs from startups to public companies like Robinhood, Posthog and Telnyx.",
    "one_liner": "AI to understand and then route engineering work",
    "team_size": 16,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1738683202,
    "tags": [
      "B2B",
      "Analytics",
      "AI"
    ],
    "tags_highlighted": [],
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    "isHiring": true,
    "nonprofit": false,
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    "status": "Active",
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/weave-3",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/weave-3.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
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    "id": 30231,
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        "full_name": "Ishir Vaidyanath",
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        "linkedin_url": "https://linkedin.com/in/ishirv",
        "x_url": "https://x.com/aceshir",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/63a9a3e95530b778a2ed85ec0bb19d03b7fef948.jpg"
      },
      {
        "user_id": 956884,
        "full_name": "Kasyap Chakra",
        "title": "Founder",
        "founder_bio": "Building Paragon to bring modern AI to the most important businesses in America.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/kasyap-chakravadhanula-357b41132",
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    "jobs": [
      {
        "id": 94139,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/deployparagon/jobs/MqAO0SV-founding-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$50K - $200K",
        "equity_range": "0.10% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 94163,
        "title": "Founding Sales",
        "url": "https://www.ycombinator.com/companies/deployparagon/jobs/AmShWrt-founding-sales",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$50K - $200K",
        "equity_range": "0.10% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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    "launches": [
      {
        "id": 92115,
        "title": "Paragon - Free money for distributors and manufacturers",
        "tagline": "The AI Growth Engine for Industrials",
        "body": "### **TL;DR**\n\nDistributors and high volume manufacturers are ignoring money:\n\n* Thousands of existing smaller customers get 0 follow-up or outreach from reps\n* Inside sales reps are doing data entry instead of engaging with customers\n  * Since they’re so backlogged, they often take a long time to respond to quotes, which drags down win-rate\n\nWhy? Humans can’t be everywhere at once, and justifiably only focus on the biggest few accounts.\n\nWe fix these problems. Customers use us to process hundreds of thousands of quotes and sales orders, as well as automatically nurture smaller accounts.\n\nBook a demo here:\n\nhttps://deployparagon.com/book-demo\n\nOur launch video: \\\nhttps://youtu.be/JbbfPPht02o\n\n### **The problem**\n\nHigh-volume distributors and manufacturers are leaving money on the table every single day:\n\n* Product quotes are sent out, but never followed up on\n* Great customers churn without a single conversation\n* High-value customers buy a fraction of what they could be purchasing if nurtured\n* and many more…\n\nWhy?\\\nInside sales people who do these for larger accounts are backlogged by manual order entry and quoting work. And the smaller accounts? There’s just too many. Thousands.\n\n**Paragon solves this.**\n\nHere’s how:\n\n**Paragon Forge (AI Revenue Engine):** Our AI figures out exactly who to reach and what to say, using your ERP data and your brand’s own voice. It takes care of proactive customer engagement, growing revenue on autopilot while your reps focus on the biggest accounts.\n\n**Paragon Surge (Quoting/Order Entry):** An easy-to-use Outlook add-in grabs RFQ and PO information directly from emails, spreadsheets, PDFs—whatever your customers send. Your reps simply review and submit without ever leaving their inbox.\n\nIn just weeks, customers see clear measurable results:\n\n* 5 hours more each day spent with customers\n* 90%+ reduction in quote response time.\n* Zero missed follow-ups on quotes\n* Higher re-order rates via personalized outreach re-engaging dormant customers\n* Higher retention rates via early alerts and outreach for churning accounts.\n* Revenue growth via a consistent rhythm of quality outbound messaging\n\n**Ready to stop leaving money on the table?** \\\n**Let’s connect:** https://deployparagon.com/book-demo",
        "url": "https://www.ycombinator.com/launches/Nxj-paragon-free-money-for-distributors-and-manufacturers",
        "votes": 118,
        "created_at": "2025-07-14T13:49:04.488Z"
      },
      {
        "id": 90296,
        "title": "Sift Flow: The World's Most Robust Conversational AI Support Agent",
        "tagline": "Don’t compromise on customer experience",
        "body": "Hey everyone, we're Ishir and Kaushik, the founders of Sift.\n\nWe initially built a root-cause analysis tool using log data but quickly realized customer interactions were essential for understanding anomalies. So, we created a system to analyze and evaluate every customer support interaction: human or AI.\n\n### ❌ The Problem\n\n_Most companies struggle to pinpoint gaps in their customer support.._\n\nCurrent solutions typically require heavy engineering investment, manual oversight, and still miss critical customer friction points. And attempts to automate frequently produce costly mistakes.\n\n### ✅ The Solution\n\nSift Flow is state-of-the-art conversational AI for customer support and anomaly detection. Our system evaluates every support interaction across all channels, precisely measuring customer frustration, churn risks, and compliance issues. We've developed the industry's most robust AI stress-testing suite, rigorously evaluating agents against adversarial prompts, policy fuzzing, and complex edge cases—ensuring over 99% accuracy before deployment.\n\nSift Flow is seamless to implement, with our white-glove service requiring minimal engineering effort. We handle the ingestion, analysis, and automation end-to-end, delivering immediate value without burdening your technical staff.\n\n![uploaded image](/media/?type=post&id=90296&key=user_uploads/1522101/3bcf694f-f266-4cf5-8951-ddfa1eb1a4bc)\n\n### 🧩 Team\n\nOur founding team brings deep machine learning and infrastructure experience from IMC Trading, DataDog, Splunk, and the University of Pennsylvania.\n\n### 🙋 Our Ask\n\nSift Flow is already trusted by leading software companies integrating customer support with real-time log analysis, and we're rapidly expanding into financial services, manufacturing, and other industries.",
        "url": "https://www.ycombinator.com/launches/NUO-sift-flow-the-world-s-most-robust-conversational-ai-support-agent",
        "votes": 15,
        "created_at": "2025-05-12T16:01:43.891Z"
      },
      {
        "id": 88040,
        "title": "Sift: The Anti-Logging Platform",
        "tagline": "Sift is the AI-driven engine transforming chaotic streams of observability data into valuable intelligence. Transform chaos into clarity. Leave the logs behind.",
        "body": "**Sift** transforms your logs from overwhelming chaos to clear, powerful insights. Our platform profiles, analyzes, and routes your logging data, intelligently eliminating noise and highlighting critical data. Continuously learning and adapting, Sift evolves with your data to keep you ahead of every challenge.\n\n<https://youtu.be/wwV51eEy59s>\n\n## **How We Got Here**\n\nWhile seeing band aid logging products launched at both Datadog and Splunk, we witnessed firsthand how traditional logging tools overwhelm developers with data—burying critical insights under mountains of noise. Teams waste countless hours sifting through logs, missing the signals that matter most. Meanwhile, costs escalate as volumes grow, and early decisions limit vendor flexibility. We realized the problem wasn't just about collecting logs but in really understanding them.\n\nFrustrated by these limitations, our mission for Sift became clear: create an anti-logging platform that gives developers control over their data while unlocking its true potential.\n\n## **Sift through your data, intelligently**\n\n<https://youtu.be/uQ-TTdiu3fc>\n\nSift is designed to flip the script on traditional logging. We’re not here to simply collect logs; we’re here to transform them into actionable intelligence that empowers developers and drives smarter decision-making.\n\n1. **Profile, analyze, and continuously optimize** your logging data to find meaningful patterns without digging through mountains of information.\n2. **Send your logs** exactly where they need to go, integrating right into your existing tooling\n3. **Format and manage** your log volume precisely to focus on the information that matters most.\n\n## **How Sift Works**\n\n**Quick Setup:** Launch Sift with minimal configuration—start sending data in minutes.\n\n**Seamless Integration:** Connect effortlessly with your existing logging infrastructure, with support for over 40 different integrations\n\n**Dynamic Adaptation:** Our system continuously learns from your logs, optimizing rules and suggesting smart routing—like sending low-value logs to cost-effective storage solutions.\n\n## **Reach out to the team**\n\n[founders@runsift.com](mailto:founders@trysift.dev)\n\n![uploaded image](/media/?type=post&id=88040&key=user_uploads/1036135/00bd588b-9f2c-4252-988b-b6530123283f)\n\nIshir (CEO): ex-Splunk engineering, ex-IMC Trading, ex-Penn M&T\n\nKaushik (CTO): ex-Datadog PM, ex-EY Parthenon, previous founder & hackathon addict, 2x early engineer, ex-Penn M&T",
        "url": "https://www.ycombinator.com/launches/Mu0-sift-the-anti-logging-platform",
        "votes": 464,
        "created_at": "2025-02-25T22:49:34.958Z"
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    "id": 30234,
    "name": "Adam",
    "slug": "adam",
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    "website": "https://adam.new/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Applied AI lab building end-to-end agents for mechanical design.",
    "one_liner": "AI Powered CAD",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1737056992,
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    "url": "https://www.ycombinator.com/companies/adam",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/adam.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/adamcad/",
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    "github_url": "https://github.com/Adam-CAD",
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    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
    },
    "founders": [
      {
        "user_id": 1626462,
        "full_name": "Zach Dive",
        "title": "Founder/CEO",
        "founder_bio": "You can just make things. Previously AI Research & Engineering @Adept and Design @Berkeley. \n\n",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/zacharydive",
        "x_url": "https://x.com/zachdive",
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      },
      {
        "user_id": 1806102,
        "full_name": "Aaron Li",
        "title": "Founder",
        "founder_bio": "CPO & Co-Founder @Adam. Shipped designs to millions of people @VIVO | Previously @BMW, NIO, and Design @Berkeley. \n\nBuilding the future of CAD and manufacturing.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/aaronlico/",
        "x_url": "https://x.com/aaronhetengli",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/09cc03343ab252b20f3cf1ca5a78368c6275cd2b.jpg"
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    ],
    "jobs": [
      {
        "id": 76418,
        "title": "Residency (Summer 2027)",
        "url": "https://www.ycombinator.com/companies/adam/jobs/VOGhQkx-residency-summer-2027",
        "location": "San Francisco, CA, US",
        "type": "Internship",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$6.7K - $10K / monthly",
        "equity_range": "",
        "experience": null,
        "visa": "US citizen/visa only",
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      {
        "id": 80511,
        "title": "MTS - Founding Research Engineer",
        "url": "https://www.ycombinator.com/companies/adam/jobs/olALosA-mts-founding-research-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$200K - $300K",
        "equity_range": "1.00% - 2.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Amazon Web Services (AWS)",
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          "Torch/PyTorch",
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          "Deep Learning",
          "Evals"
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      {
        "id": 80561,
        "title": "MTS - Founding Engineer",
        "url": "https://www.ycombinator.com/companies/adam/jobs/q6td4uk-mts-founding-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$200K - $300K",
        "equity_range": "1.00% - 2.00%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "JavaScript",
          "Python",
          "React",
          "TypeScript",
          "SQL",
          "Software Architecture",
          "Next.js"
        ]
      },
      {
        "id": 106707,
        "title": "MTS - Forward Deployed Mechanical Engineer",
        "url": "https://www.ycombinator.com/companies/adam/jobs/cZ7rfHL-mts-forward-deployed-mechanical-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$200K - $250K",
        "equity_range": "1.00% - 2.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
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    ],
    "news": [],
    "launches": [
      {
        "id": 87143,
        "title": "Adam - AI Co-Pilot for CAD ⚙️⚙",
        "tagline": "Adam helps engineers 10x their CAD workflows with simple AI prompts",
        "body": "Hey YC! 👋\\\n\\\nWe're [Aaron](https://x.com/aaronhetengli), [Avi](https://x.com/avimakesrobots) and [Zach](https://x.com/zachdive) from Adam and we are building AI Powered CAD for mechanical design. Our first launch is our Text to CAD editor. Some of our early users have called it the **Vercel V0 for CAD**. You simply put a prompt in on our web-app and we generate a parametric CAD file for you. Check out our fun promo vid 👇.\\\n\\\nhttps://youtu.be/Pw6KGqgygqw\n\n**TL;DR:**\n\n* 🔧 Use our **Text-to-CAD** model to accelerate your mechanical design workflows\n* 🪛 Adjust the **Parametric CAD** with our dynamically generated sliders\n* 🛠 Export and **ready to 3D print in seconds**\n\n### **Problem**\n\n**Slow**\\\nLegacy CAD software is weighed down by antiquated UX and outdated geometry rendering from the early 90s.\n\n**Repetitive** \\\nMechanical engineers and design professionals spend hours everyday restarting projects due to rigid workflows. The current tools are clunky and slow to iterate in meaning the iteration process is greatly slowed down.\n\n**Demands significant expertise**\\\nThe complexity of CAD tools hinders rapid prototyping and wider adoption.\n\n### \n\n### **Solution**\n\nDesign professionals spend hours every week converting ideas into CAD design and its complexity often creates barriers for both professionals and newcomers. The Adam web-app provides a frictionless experience to start rapidly prototyping and shipping out great ideas.\n\n**We support two different modes of interaction**\n\n_1. Conversational design through chat_\n\n![uploaded image](/media/?type=post&id=87143&key=user_uploads/1626462/6c4b0839-2b67-4e55-b857-ae6e11f20703)\n\n_2. Parametric edits through sliders_\n\n![uploaded image](/media/?type=post&id=87143&key=user_uploads/1626462/e97bde5c-d49a-4be9-b1b0-4e0fc329a5fa)\n\n### **One more thing..**\n\nWe are building an Adam Co-Pilot that integrates seamlessly within professional-grade CAD workflows. Think of this as the **Cursor for CAD.** It takes in the context of your CAD environment and is able to make directed edits for you. Check out an early prototype (more on this to come…)!\\\n\\\nhttps://www.loom.com/share/7c945465a21e4fb7abfd557299be4925\n\n### **We are on a mission to remove the friction between engineering and reality so more great ideas come into existence.**\n\n👉 If you resonate, please reach out to us here: [founders@adamcad.com](mailto:founders@adamcad.com)\n\n&lt;3\\\nCheck out our website: [www.adamcad.com](https://www.adamcad.com/)\n\n![uploaded image](/media/?type=post&id=87143&key=user_uploads/1626462/d50e9f22-e38f-4a6d-b0b7-eea7dedcba0a)\n\n",
        "url": "https://www.ycombinator.com/launches/MfX-adam-ai-co-pilot-for-cad",
        "votes": 212,
        "created_at": "2025-01-24T18:32:15.271Z"
      }
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  },
  {
    "id": 30243,
    "name": "Cifrato",
    "slug": "cifrato",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0bb4c15c8e630dcffec655f29ad07b101afe03c5.png",
    "website": "https://cifrato.ai",
    "all_locations": "Bogotá, Bogota, Colombia; Remote",
    "long_description": "End-to-end accounting workflows executed by AI agents.\r\n- Invoice capture + upload to ERP/POS\r\n- Invoice payment + reconciliation\r\n- Tax filings\r\n- CFO insights on demand",
    "one_liner": "AI Accountant for Accounting Firms",
    "team_size": 17,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1751513280,
    "tags": [
      "FinOps",
      "SaaS",
      "AI"
    ],
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2025",
    "status": "Active",
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      "Operations"
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    "regions": [
      "Colombia",
      "Latin America",
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/cifrato",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/cifrato.json",
    "year_founded": 2025,
    "city": "Bogotá",
    "country": "CO",
    "linkedin_url": "https://www.linkedin.com/company/cifrato",
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    "founders": [
      {
        "user_id": 951645,
        "full_name": "Juan Pisco",
        "title": "Founder/CEO",
        "founder_bio": "Building the AI Accounting Agent for Accounting Firms. Exit tripplanner.ai (3M+ users). Technical.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/juan-pisco/",
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    "jobs": [
      {
        "id": 115349,
        "title": "Founding Sales Development Representative",
        "url": "https://www.ycombinator.com/companies/cifrato/jobs/zNDCKb5-founding-sales-development-representative",
        "location": "Bogotá, Bogota, CO",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$1.5K - $3.5K / monthly",
        "equity_range": "0.03% - 0.05%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
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  },
  {
    "id": 30244,
    "name": "Mosaic",
    "slug": "mosaic-2",
    "former_names": [
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      "FrameCut AI"
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    "website": "https://mosaic.so",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Mosaic builds frontier video agents. We work to codify the language of video and imbue that as taste into agents.\r\n",
    "one_liner": "Frontier Video Agents",
    "team_size": 5,
    "industry": "Consumer",
    "subindustry": "Consumer -> Content",
    "launched_at": 1740665933,
    "tags": [],
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    "isHiring": true,
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    "status": "Active",
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "question_answers": [
      {
        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "We were both engineers at Tesla when one day, we had a fun idea to make a YouTube video of Cybertrucks in Palo Alto. The idea was simple: we’d record cars going by and for each Cybertruck we counted, we’d buy a share of Tesla stock. It had all the makings of a viral video, but after recording, we came back to hours of raw footage of cars driving by. It quickly dawned on us that we’d have to scrub through this entire raw footage to count the Cybertrucks. As we began editing, we experienced firsthand the frustration of trying to accomplish simple tasks in video editors like DaVinci Resolve and Adobe Premiere Pro. Features are hidden behind menus, buttons, and icons, and we often found ourselves Googling or asking ChatGPT how to do certain edits. We thought that now — with multimodal AI — we could accelerate some of this process. And better yet, if the AI is built into your video editor, it could automatically apply edits based off what it sees and hears in your video. The idea quickly snowballed and we began our side quest to build the _Cursor for Video Editing._"
      },
      {
        "question": "What's the history of your company from getting started until the present day? What were the big inflection points?",
        "answer": "We spent the first month of YC building our entire video editor and making our multimodal chat copilot powerful and stateful. But after talking to users, we quickly realized that the chat interface has some limitations for video, primarily because of chat’s inherent prompt-response sequential UX. We spent month 2 of YC going back to first principles to create a new, agentic paradigm for video editing. The result: a node-based canvas which enables you to create and run your own multimodal video editing agents. The idea is that canvas will run your video editing on autopilot, and get you 80-90% of the way there. Then, you can go into the editor & chat with your video for the final touches and polish."
      }
    ],
    "url": "https://www.ycombinator.com/companies/mosaic-2",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/mosaic-2.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/mosaic-so",
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        "body": "Hi everyone, [Josh Sabol](https://www.linkedin.com/in/joshsabol/) here with [**HealthKey**](https://gethealthkey.com/) 👋\n\n### **TL;DR**\n\nHealthKey helps doctors offices generate more revenue by identifying patients who are eligible for clinical trials, and matches at-risk patients with cutting-edge treatments. Big Pharma pays _a lot_ of money to clinics for each patient they enroll, but _finding_ patients who qualify is an entirely manual process today. We use AI to prescreen doctors’ existing patients against Clinical Trials’ eligibility criteria, making enrollment fast and easy.\n\nAre you a **Clinical Operations Leader** or a **Principal Investigator**? Book a **15-min demo** here 👉 <https://cal.com/healthkey/30-min-yc-launch>\n\n<https://www.youtube.com/watch?v=Bm764eA6dhw>\n\n### **The Problem**\n\nPharma/Biotech/Medical Device companies (a.k.a. Sponsors) rely on doctors’ offices (a.k.a. Research Sites) to find patients for clinical trials. **Each enrolled patient can bring a site anywhere from $20,000 to $100,000**. The problem is finding qualified patients. **Doctors have to manually search through dense medical records** looking for extremely specific criteria, for [**example**](https://clinicaltrials.gov/study/NCT05683691#participation-criteria): “Prostate cancer in T2c stage, 20-80 cc in size determined via MRI.” **Existing search tools rely on simple data fields**, so they can’t handle these nuanced requirements. As a result, doctors manually sift through lists of 1000 patients with Prostate cancer only to discover \\~5 patients match all eligibility criteria. The result is **wasted time, missed revenue, and fewer patients** getting access to potentially life-changing trials.\n\n### **The Solution**\n\nOur solution works in two steps:\n\n**1. AI-Driven Prescreening**\n\nWe connect with clinics’ EHR system\\* directly to pull all medical records, including faxed PDFs. Then we use AI to compare each patient’s medical history against a trial’s specific eligibility criteria. For example: prostate cancer’s status, stage, size, and impression source. We repeat this for every criterion, across all trials, creating a carefully vetted list of potential candidates ranked by how likely they are to qualify.\n\n**2. Doctor Review**\n\nDoctors log in to our dashboard to view the prescreened patients. For each candidate, HealthKey highlights the key pieces of evidence—such as MRI details or encounter notes—so doctors can verify if a patient qualifies. This feedback loop improves our system, making it fast and easy to identify, qualify and enroll patients into clinical trials.\n\nDoctors can onboard in under a week with our existing integrations\\*, or we’ll integrate with any certified EHR for free. Clinics only pay when they successfully identify qualified patients!\n\n\\* Current Electronic Health Record (EHR) integrations include Athena, Veradigm Allscripts, Epic, NextGen, and MedConnect.\n\n![uploaded image](/media/?type=post&id=87758&key=user_uploads/105349/63655e71-0364-435d-a48a-5eba0690ed2a)\n\n### **Case Study: $1.4M in Missed Revenue at Urology Clinic**\n\nOne of our current partners is a +10 location urology practice. They have 4 research coordinators who each spend 3 hours every morning searching for trial candidates manually in their EHR. This manual screening is the most time-consuming part of their day.\n\nLast year, they actively recruited for 11 clinical trials. They missed their enrollment targets because they couldn't identify enough eligible patients, resulting in $1.4M in missed revenue.\n\nHealthKey has freed up countless hours of staff time, and has already identified 100s of eligible patients. With HealthKey's AI-powered Patient Identification, they're now positioned to meet enrollment targets and capture their full revenue opportunity.\n\n### **The Ask**\n\nAre you a **Clinical Operations Leader** or a **Principal Investigator**? Book a **15-min demo** here 👉 <https://cal.com/healthkey/30-min-yc-launch>\n\nFinding patients for clinical trials is an enormous pain. If you know decision-makers in any of these organizations, we’d be super grateful for an introduction! Email us at [founders@gethealthkey.com](mailto:founders@gethealthkey.com)\n\n1. Healthcare orgs that do Research or run Clinical Trials (Hospitals, Clinics, etc.)\n2. Research Sites / Site Networks\n3. Pharma companies\n4. Bio-tech companies\n5. Medical Device companies\n6. Durable medical goods providers\n\n### **Thanks!**\n\n![uploaded image](/media/?type=post&id=87758&key=user_uploads/105349/b24b4fef-e9fd-4794-9d64-441183e5d94f)\n\n",
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        "url": "https://www.ycombinator.com/companies/hud/jobs/SToEZ1D-research-engineer-robotics-evals",
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    "long_description": "PAX delivers more 𝛼 with its in-silicon exchange and HFT technology. The PAX on-chip λ API provides deterministic nanosecond tick-to-trade latency. HFT λ traders experience non-adverse counterparty selection by pairing with free-tier traders who access PAX using our zero-cost and rebated API.\r\n\r\nUsing our patented technology, PAX is building a new generation of exchange co-lo facilities that unite HFT with exchange.",
    "one_liner": "Co-located trading facility and matching engine on one chip.",
    "team_size": 6,
    "industry": "Fintech",
    "subindustry": "Fintech -> Banking and Exchange",
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        "full_name": "Pete Stevenson",
        "title": "Founder/CEO",
        "founder_bio": "CEO at PAX. High frequency crypto trader. Ultra low-latency FPGA trading at Citadel Securities. U.S. Navy officer, nuclear powered fast attack submarine. Participated in two exited startups: HICAMP acquired by Intel and Pixie acquired by New Relic.\n\nPh.D., Stanford, electrical engineering. B.S. U.S. Naval Academy.\n\n\n",
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        "full_name": "Benjamin Kilimnik",
        "title": "Founder",
        "founder_bio": "CTO at PAX. High frequency crypto trader. Smart contract trader. Cryptography and systems researcher at Brown. Distributed systems software at New Relic. Privacy engineer at Pixie Labs, startup exited to New Relic.\n\nB.S. Brown University, computer science.",
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        "title": "Founding Hardware Engineer",
        "url": "https://www.ycombinator.com/companies/pax-markets/jobs/uzbhpCT-founding-hardware-engineer",
        "location": "Redwood City, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Electrical",
        "salary_range": "$150K - $200K",
        "equity_range": "0.25% - 0.50%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
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        "title": "Founding Software Engineer",
        "url": "https://www.ycombinator.com/companies/pax-markets/jobs/gyUxpoz-founding-software-engineer",
        "location": "Redwood City, CA, US",
        "type": "Full-time",
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        "url": "https://www.ycombinator.com/companies/pax-markets/jobs/qv4p3Al-founding-principal-hardware-engineer",
        "location": "Redwood City, CA, US",
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        "experience": "3+ years",
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        "title": "PAX: a crypto exchange on a chip, faster and smaller than a datacenter.",
        "tagline": "PAX makes high frequency faster and every trade cost less.",
        "body": "![uploaded image](/media/?type=post&id=87536&key=user_uploads/1537672/ad765eb6-33b3-49a2-8ba2-6bd94e05b5a2)\n\n**Exchange on a chip, not a datacenter**\\\nPAX is a new crypto exchange and is the first – in all capital markets – to operate from a single chip rather than an entire datacenter. PAX moves traders to within nanometers of the exchange – closer than ever before possible.\n\nSuch proximity unlocks unprecedented value to high frequency customers and PAX shares this value by offering zero-fee with cash-back to every other market participant on every trade. PAX is to exchange as Robinhood was to retail brokerage: the first in the industry to “go to zero” and a complete game changer for every asset class.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXcmtCHC9EMMhzvyg5KeqhhUmDEjLnfaq9-SvMKoEvFQ869a9RnAlvZFdSvtWD6MBeT-L5KQPA9GHq0yzYbnSogD9YIIUR4zlxb0B33xGQu9svZ7u-Udin90V5yiUAZMRRuhSswM?key=Wo65vyZF0x9uq4uM0lkuHGQM)\n\n\\\n**The value of speed & proximity**\\\nAcross all financial markets, there is an arms race for speed. High frequency trading (HFT) firms spend billions of dollars to minimize latency, i.e., to sit as close as possible to exchanges (co-locate) and respond as quickly as possible to new exchange-published market signals.\n\n\\\n**Faster than any exchange, for any asset, anywhere**\\\nPAX is building core exchange technology into a chip. PAX is faster than NYSE, NASDAQ, Deutsche Börse, EDX, Crossover, Binance, OKX. Name any exchange: PAX is faster – not by a little, but by orders of magnitude.\n\nThe fastest exchanges today boast a 30 microsecond round-trip latency. PAX crunches that to 30 nanoseconds (1000x faster).\n\n\\\n**The PAX λ API: programmatic access to ultra-low latency**\\\nIn trading, speed is king. The PAX λ API provides the fastest tick-to-trade latency possible.\n\n![uploaded image](/media/?type=post&id=87536&key=user_uploads/1537672/ed004a70-b866-4713-8047-7c6b292c2d45)\n\nThe λ API enables traders to programmatically launch orders from within the same chip that hosts the PAX exchange. This proximity to the market – placing participant trading logic nanometers from the exchange – is extremely valuable and de-risks HFT market making strategies.\\\nhttps://pax.markets/blog/lambdas\\\nhttps://pax.markets/blog/lambda_use_cases\n\n\\\n**Zero-fee + cash-back: sharing the value & building liquidity**\\\nTrading at PAX is faster, and costs less. Our baseline price is zero, with cash back on every trade.\n\nHow can we do that? We sell speed: zero-cost trading with cash-back is financed by our opt-in fee based λ API. We look at it like this: PAX is selling speed and buying order flow.\\\nhttps://pax.markets/blog/rebates\n\n\\\n**Better market structure**\\\nPAX offers fresh insight into how capital markets should be structured. Behind the technology (exchange on a chip) and the new business model (zero-fee + cash-back) is a nuanced thought process. PAX market structure provides a better alternative to existing systems by adding price competition alongside incentive mechanisms.\\\nhttps://pax.markets/blog/pfof\n\n\\\n**Driving market efficiency across all assets**\\\nPAX is just getting started. Crypto is growing and evolving – it is an asset class with early adopters. PAX will relentlessly pursue its technology beyond crypto: in all electronically traded assets, markets, and geographies.\n\n\\\n**A preview of our “next year” Super Bowl spot**\\\nhttps://youtu.be/ExMOrOI2DFI\n\n\\\n**PAX founders**\\\nPete and Ben have years of experience trading across traditional and non-traditional markets.\n\nPete ([link](https://www.linkedin.com/in/etepnosnevets/)) helped build the world's fastest futures trading strategy using custom silicon at Citadel Securities, and more recently, he worked with a small team running quant research for crypto HFT across multiple CEX and DEX venues.\n\nBen ([link](https://www.linkedin.com/in/benkilimnik/)) was a high frequency crypto and smart contract trader. He’s worked on distributed systems at Pixie Labs (acq. by New Relic) and was a cryptography/systems researcher at Brown.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXft6pycITM9yuddOAFhCm-TaVA6Rqyk-OFHZCGULxtfr-vnvc3SCVQB7FLhmCWb7xbN_kxvYPmRNRVni8VoLqm4wsSBUIpbi4qcyI7avMLioBXZ-6gGcnCaAMWF-3w2lT7G_yMWDQ?key=7hHCqkS189LUBZ_ANR3SMQG4)\n\nPAX Founders, Ben and Pete, filming our YC application video at the corner of Wall & Broad, New York, NY (NYSE in the background).",
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        "created_at": "2025-02-13T22:52:37.976Z"
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    "long_description": "Gale is an immigration tech platform that makes immigration simple for US companies. We've simplified the visa application process, streamlined compliance, and can integrate with HR systems - saving teams time, money and headaches. Through automation, we enable the independent attorneys we coordinate with to maintain quality whilst being more efficient.",
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        "full_name": "Rahul Gudise",
        "title": "Founder/CEO",
        "founder_bio": "Automating business visas for American employers, starting with the H-1B. Previously built Canada's first instant immigration PDF filler and automation suite. Ex NVIDIA and Tesla. CS @ Waterloo.",
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        "full_name": "Haokun Qin",
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        "founder_bio": "Immigrated twice in the last 20 years, now building the data-driven platform for immigration. Math @ Waterloo, ex-MLE @ Viavi.",
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        "location": "Vancouver, BC, CA / Vancouver, British Columbia, CA",
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        "title": "Gale - Fast and Data-Driven Business Immigration",
        "tagline": "Immigration platform for US employers",
        "body": "Gale is a tech platform that automates the entire H-1B application and compliance process for US employers, with independent licensed attorneys ensuring accuracy at all steps.\n\nhttps://youtu.be/tmMnGLIa3fs\n\n### **The Problem**\n\n![uploaded image](/media/?type=post&id=88070&key=user_uploads/1751117/82978c7b-fae9-48b4-8b08-a909d1852a7c)\n\n_An email from a founder in W25 to their immigration law firm (name redacted to protect the guilty)_\n\nWe’ve talked to enough employers to know dealing with immigration sucks. Here’s why:\n\n* Slow response times from lawyers (1-3 business days at least)\n* No help on complex compliance requirements after visa approval\n* Knowledge transfer and communication done via email or janky web forms\n* Confusing questionnaires or document checklists\n\n### **The Solution**\n\nWe help US employers spend as little time as possible worrying about H-1Bs and how to be compliant. Here’s how:\n\n* Fast online data intake process with AI-powered document intake that auto-fills your application\n* Easy to follow tooltips and comprehensive FAQ \n* Automated H-1B compliance for you and your team even after H-1B approval\n* An **experienced immigration lawyer** handles and reviews each individual case with the same level of scrutiny as a law firm\n* Fast turnaround time for legal questions\n* We use english, no legal jargon\n\n### **Moving forward**\n\nH-1Bs are just the beginning. We’ve already started working on expanding our offering to help both consumers and businesses with other types of visas such as O-1s, Fs, Ks and TNs. The US immigration service market isn’t built for the 21st century, and we believe by using a mix of AI and professionals in the loop we can change that.\n\n### **Our Ask**\n\n**Know someone who is hiring or has hired H-1B workers?** Whether it’s a startup, SMB, enterprise, university, or nonprofit, we’d love an introduction! You can email us at [**rahul@getgale.app**](mailto:rahul@getgale.app).\n\nWe’d also appreciate it if you could share this post, or our demo video and follow us on [**LinkedIn**](https://www.linkedin.com/company/galeapp) to stay updated on our journey!\n\n### **Team**\n\nRahul (CEO), Rishabh (CTO), and Haokun (CPO) have been building together since middle school and later studied at the University of Waterloo. After working at companies like NVIDIA and Tesla, they experienced the inefficiencies of the immigration process firsthand and decided to automate it.\n\n\\\nGale founders from left to right: Haokun, Rahul, Rishabh:\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXchLNzKn3_48N25g3_X4dRxX7YLxU7jiQvK2oPpTRAD8MSvQpwG-C8AYDXUl0bRAbXYUgDD1ZukDf8MyOi_E_Z8iST3bgX5WzFKloRnlM4U1ZAkXWiM_4gyQd96ak32EO1-X3k?key=i0Gf8e5jxOhwPvU53uxZ6q3Z)\n\n",
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        "votes": 38,
        "created_at": "2025-02-26T18:47:13.872Z"
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    "name": "Asteroid",
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    "website": "https://asteroid.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Asteroid is the AI-powered integration layer for healthcare. One connector for EHRs, payer portals, and legacy desktop systems, with 100+ pre-built integrations that go live in days, not months. Built for developers and operations teams, with integrations that maintain themselves.",
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        "full_name": "David Mlcoch",
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        "user_id": 1891505,
        "full_name": "Joe Hewett",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder and CTO of Asteroid. \n\nPreviously cybersecurity at Netcraft, where I created novel methods using LLMs to map and disrupt hundreds of millions of dollars of fraud. I have published academic work on the use of LLMs in cybersecurity",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/joehewett/",
        "x_url": "https://x.com/simulated_land",
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    "jobs": [
      {
        "id": 114163,
        "title": "Forward Deployed Engineer (Healthcare)",
        "url": "https://www.ycombinator.com/companies/asteroid/jobs/tYlxU3M-forward-deployed-engineer-healthcare",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "AI engineer",
        "salary_range": "$120K - $160K",
        "equity_range": "0.20% - 0.35%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "LLMs",
          "AI Agents",
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    "news": [],
    "launches": [
      {
        "id": 96061,
        "title": "Asteroid: AI Builder for complex Browser Agents",
        "tagline": "Build self-healing AI browser agents in minutes. Ops build, developers deploy, Asteroid self-improves.",
        "body": "### **TL;DR**\n\n**Asteroid** is the fastest way to build self-healing browser agents, no technical experience required. \\\n\\\nOur new **AI agent builder**, **Astro**, allows you to build **complex, multistep browser agents** by building an agent graph, writing prompts, adding tools, human in the loop and guardrails.\n\nThis makes Asteroid agents suitable for **mission-critical workflows**, and more than **25 businesses** already use them in healthcare, insurance, and beyond.\\\n\\\n**Astro** **is fully available, build your agent [here](https://platform.asteroid.ai/)!**\n\nhttps://youtu.be/ugY_qLTfmG8\n\n### **What is the problem?**\n\nStartups need to integrate with external portals (carriers, suppliers, healthcare) but can’t wait months for APIs.\n\nMany great browser-agent frameworks have emerged in the past year, but **non-technical teams still can’t build production-grade agents.**\n\nOperations leaders, PMs, and founders are the ones who **understand the workflows and edge cases** and _should_ be the builders. Relying on developers to constantly fix prompts for every new edge case isn’t sustainable.\n\n![uploaded image](/media/?type=post&id=96061&key=user_uploads/1651915/d73eee4d-bcc6-461f-953e-6fdd56374905)\n\n### **Solution: Astro - AI Builder for Complex Browser Agents**\n\nToday we’re launching **Astro**, our AI builder that lets anyone create **complex, self-healing browser agents in under 2 minutes**. Tell Astro what you want, for example _“Build an agent to pull patient data from this EHR”_, and it generates the full agent.\n\n![uploaded image](/media/?type=post&id=96061&key=user_uploads/1651915/53714daf-535a-450a-8a76-82eb70d43007)\n\n**Astro improves the agent using previous runs.** Behind the scenes, it writes code when needed, including Playwright scripts for deterministic steps, giving everyone code-level reliability.\n\n![uploaded image](/media/?type=post&id=96061&key=user_uploads/1651915/62627740-6f1e-47ce-a197-917e01ceade7)\n\nEvery part of the agent, including graphs, prompts, and model settings, is fully visible so you can make precise, surgical edits whenever needed.\n\n### **How does it work**\n\n1. **Build:** Non-technical teams create agents directly in the platform. Astro generates the prompts, agent graphs, and tools needed to handle even the most complex browser workflows.\n2. **Deploy:** Developers drop in a single code snippet to call the agent through Asteroid’s API/SDKs.\n3. **Supervise:** Monitor live sessions, review recordings, track performance, and trigger human-in-the-loop via Slack when needed.\n4. **Improve:** Non-technical teams update prompts and ship new agent versions instantly as workflows change.\n\n### **Ship your first agent today**\n\n**Astro** **is fully available, try it for free [here](https://platform.asteroid.ai/) or book a [demo](https://cal.com/asteroidai/15min) with a founder!**",
        "url": "https://www.ycombinator.com/launches/OzN-asteroid-ai-builder-for-complex-browser-agents",
        "votes": 228,
        "created_at": "2025-12-09T22:31:58.000Z"
      },
      {
        "id": 88012,
        "title": "Asteroid: Browser Agents with Human Oversight",
        "tagline": "Browser workflow automation for regulated industries",
        "body": "**Asteroid makes browser automation seamless for regulated industries.** Not only developers but also non-technical teams can **build and run our browser agents with Asteroid**, turning 45-minute manual tasks into 2-minute automated processes.\n\nOur browser agents can navigate legacy portals, fill out forms, and extract data—all without brittle scripts, high costs, or maintenance headaches.\n\n![uploaded image](/media/?type=post&id=88012&key=user_uploads/1651915/50a0915f-b720-4fff-923b-0b84e6017098)\n\n### **The Problem**\n\nTraditional automation tools like RPA are too expensive for non-enterprise customers, **costing $10,000 per automation**. Meanwhile, scaleups especially in high-risk industries like insurance or healthcare lack the resources to maintain Selenium or Playwright scripts, as these frequently break due to UI changes and the automations need to be extremely reliable.\n\n### **The Solution**\n\nBrowser agents bridge this gap—offering the flexibility of scripting with the reliability of RPA. With 2025’s computer use models, **web automation is now 100x cheaper and more robust, unlocking thousands of new use cases.**\n\n### **How It Works**\n\n**Asteroid transforms any browser task into an agentic workflow.** Simply show Asteroid what to do—via a screen recording, SOP, or written instructions—and get an agentic workflow. You can then call it through our web UI or API.\n\nBehind the scenes, Asteroid spins up a secure, headless browser, handles authentication, executes workflows, and seamlessly integrates human review when needed—all without burdening your developers. We ensure the agent improves over time.\\\n🔗 [Watch Asteroid in action](https://www.youtube.com/watch?v=26uksP36xB4)\n\n![uploaded image](/media/?type=post&id=88012&key=user_uploads/1651915/fa0c7345-c244-4270-8c56-c905072f93ea)\n\n### **Highlighted Features**\n\n🔹 **API-First Automation** – Trigger a browser agent in a web UI or with a single API call—no need for complex scripts or RPA setups.\\\n🔹 **Human-in-the-Loop** – Automate only where it’s safe, with built-in escalation for manual review when needed.\\\n🔹 **Intelligent Guardrails** – Set rules like “Never click this button” or “Ask before submitting” to prevent errors.\\\n🔹 **Continuous Learning** – Asteroid evaluates every execution, adapting to website changes and improving over time using evaluations and backtesting.\n\n### **How We Got Here**\n\nWe’re both AI engineers who had to solve the same problem independently. Joe built AI systems that stopped $100M+ in fraud annually. David developed fraud investigation agents for fintechs.\n\nAfter years of building mission-critical automation, we learned that automation only works with intelligent guardrails, human oversight, and continuous learning.\n\nWe first built Asteroid as a developer tool for safe AI deployment—offering guardrails, human-in-the-loop workflows, and continuous evaluations. But we quickly realized:\n\n\\*\\*Browser agents need these safeguards even more.\\*\\*\\\n✅ **Guardrails** – \"Don’t click on this.\"\\\n✅ **Human oversight** – \"Ping me before you submit.\"\\\n✅ **Continuous learning** – \"The website changed—adapt.\"\n\nInstead of just developer tools, we’ve shifted to building browser agents with safety and reliability baked in!\n\n![uploaded image](/media/?type=post&id=88012&key=user_uploads/1651915/e9051949-8032-4fc5-951d-1fb8361ba3e1)\n\n### **Real-World Use Cases**\n\nWe’re working with customers to automate high-value workflows like:\n\n🔹 **Insurance Portal Automation** – Retrieve broker quotes across insurer portals—without manual input.\\\n🔹 **Supply Chain Scheduling** – Log into carrier platforms, retrieve GPS data, and schedule deliveries—seamlessly.\\\n🔹 **Expense Management** – Pull PDF bills from utility portals for expense tracking—without APIs.\n\n### **Who is Asteroid for?**\n\n🔹**Businesses with Heavy Manual Browser Workflows** – Automate large-scale data entry, form submissions, and repetitive portal interactions.\\\n🔹**Regulated Businesses using Legacy Systems** – Streamline automation for industries like insurance, healthcare and supply chain.\\\n🔹**AI Agent Startups** – Enable AI agents to reliably interact with legacy portals and automate browser tasks.\n\n### **Get Started**\n\n**Have a repetitive workflow you'd love to automate?** Let’s explore how Asteroid can help!\\\n🔹 [Schedule a demo](https://calendly.com/founders-asteroid-hhaf/30min?month=2025-02) to discuss your use case!\\\n🔹[Try our default agents](https://platform.asteroid.ai/) and see browser automation in action!",
        "url": "https://www.ycombinator.com/launches/MtY-asteroid-browser-agents-with-human-oversight",
        "votes": 19,
        "created_at": "2025-02-25T16:20:12.618Z"
      }
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    "id": 30260,
    "name": "Macadamia",
    "slug": "macadamia",
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/14d848dfe9773db91848e15d445887906f2df14e.png",
    "website": "https://macadamialabs.com",
    "all_locations": "Ghent, Flanders, Belgium",
    "long_description": "Macadamia builds AI agents for complex engineering projects. \r\nThey automate both engineering & business processes, to automate away all low-leverage work.\r\nIt integrates with all engineering data sources, technical documentation, and third-party software tools.\r\nMacadamia serves customers in mechanical engineering, manufacturing, and construction.",
    "one_liner": "AI Agents for Complex Engineering Projects",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1737733063,
    "tags": [],
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2025",
    "status": "Active",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "regions": [
      "Belgium",
      "Europe"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": [
      {
        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "Software engineers are being automated in real-time, but for engineers that operate in the physical world those AI agents still don’t exist.\\\r\nNevertheless engineering teams are often bottlenecked by administrative workflows, instead of actual engineering.\\\r\nWe want to free them from those, by creating AI agents that do the boring but necessary work. "
      },
      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "A world where human engineers work together with AI engineers.\\\r\nWhere human engineers can operate without limitations and focus on designing and making decisions."
      }
    ],
    "url": "https://www.ycombinator.com/companies/macadamia",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/macadamia.json",
    "year_founded": 2025,
    "city": "Ghent",
    "country": "BE",
    "linkedin_url": "https://www.linkedin.com/company/105566815/",
    "x_url": "https://x.com/macadamialabs",
    "fb_url": null,
    "cb_url": null,
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/14d848dfe9773db91848e15d445887906f2df14e.png",
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    "primary_partner": {
      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
    },
    "founders": [
      {
        "user_id": 1605924,
        "full_name": "Abel Van Steenweghen",
        "title": "Founder/CEO",
        "founder_bio": "Building agents for complex engineering projects.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/abelvs/",
        "x_url": "https://x.com/avansteenweghen",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b13df2882133a79c726cbd96fee395ada36a8f07.jpg"
      },
      {
        "user_id": 2227066,
        "full_name": "Brecht Pierreux",
        "title": "Founder/CTO",
        "founder_bio": "Building an AI Mechanical Engineer to fix technical projects. Previously SpaceX and NASA JPL. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/brecht-pierreux-54b327181/",
        "x_url": "https://x.com/bpierreux",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d444bf6b8708ca9abaf99f798dd912e5b28ab413.jpg"
      }
    ],
    "jobs": [
      {
        "id": 79875,
        "title": "Founding Engineer (Full-Stack)",
        "url": "https://www.ycombinator.com/companies/macadamia/jobs/JhBLKe5-founding-engineer-full-stack",
        "location": "San Francisco, CA, US / Ghent, Flanders, BE",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$80K - $160K",
        "equity_range": "1.00% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": [
          "PostgreSQL",
          "Python",
          "TypeScript",
          "Next.js"
        ]
      },
      {
        "id": 88063,
        "title": "Founding GTM Lead ",
        "url": "https://www.ycombinator.com/companies/macadamia/jobs/0FN5u8j-founding-gtm-lead",
        "location": "Ghent, Flanders, BE / Remote",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$60K - $100K",
        "equity_range": "1.00% - 2.00%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 88105,
        "title": "Macadamia: an AI Mechanical Engineer",
        "tagline": "Building AI agents that fix technical issues early in complex mechanical projects. ",
        "body": "Hi YC, we’re Brecht and Abel from Macadamia, combining expertise in AI and Aerospace Engineering.  \n\n**⚠️ The Problem**\\\nAt SpaceX, Brecht saw firsthand how information gaps between engineers and outdated technical documents from contractors caused errors worth thousands of dollars. Engineers deal with complex workflows, lengthy technical documents, coordination of suppliers, and more. This causes errors every day—often preventable, yet they still cause costly delays.\n\n**✅ Our Solution**\\\nMeet Cooper – an AI Mechanical Engineer that detects and fixes design errors in large engineering teams. Cooper scans your project files (drives, emails, CAE/CAD tools) to flag design errors before they escalate. By integrating with engineering software, our agent fixes design issues automatically in complex workflows.\n\n<https://youtu.be/r0NGof0gYgM?si=4X4-YixVCgUOask7>\n\n**👑 The Team**\\\nWe combine experience in AI and Engineering:\n\n* **Abel**: MSc Computer Science (TU Delft) and previously built AI startups\n* **Brecht**: MSc Mechanical Engineering (ETH Zurich | Caltech) and worked at SpaceX and NASA JPL\n\n**🔥Our Ask**\\\nWe’d love to connect with engineering leaders in mechanical, civil, and aerospace engineering to implement Cooper in their technical projects. Please reach out to [founders@macadamialabs.com.](https://mailto:founders@macadamialabs.com)",
        "url": "https://www.ycombinator.com/launches/Mv3-macadamia-an-ai-mechanical-engineer",
        "votes": 22,
        "created_at": "2025-02-27T15:06:01.099Z"
      }
    ]
  },
  {
    "id": 30261,
    "name": "Lucid",
    "slug": "lucid",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1d7946ea974cf7a753814028e684ac774c9c4073.png",
    "website": "https://lucid.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We are building universe simulations powered by interactive video models.\r\n\r\nWe train video models that simulate hyper-realistic environments with immersive control, replacing hard-coded game or physics engines with dynamic neural networks.\r\n\r\nWe built the fastest action-conditioned diffusion video model (running at 20+fps on a 4090 gaming gpu) to simulate minecraft. It is 5x faster than other minecraft World Models and was trained with 100x less resources. Our unique insight was relying on aggressive compression in our tokenizer (128x versus the traditional 8x), and because attention scales quadratically with # of tokens our model can run blindingly faster.\r\n\r\nNow we’re training a hyper realistic world model!",
    "one_liner": "interactive video models",
    "team_size": 3,
    "industry": "Consumer",
    "subindustry": "Consumer",
    "launched_at": 1738541860,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2025",
    "status": "Active",
    "industries": [
      "Consumer"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/lucid",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/lucid.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/1d7946ea974cf7a753814028e684ac774c9c4073.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
    },
    "founders": [
      {
        "user_id": 1134468,
        "full_name": "Rami Seid",
        "title": "Founder/CTO",
        "founder_bio": "A high school dropout who got his first internship as an MLE at a robotics lab, I went on to become the CTO of a govtech contracting company. After that, I cofounded my own telecommunications company while doing ML work on the side. Now I'm building a universe simulator at Lucid.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/rami-mohammed-seid/",
        "x_url": "https://x.com/rami_mmo",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/581c59e8f0c2b52af465f64bb8b3807a50b49d44.jpg"
      }
    ],
    "jobs": [
      {
        "id": 78799,
        "title": "Member of Technical Staff",
        "url": "https://www.ycombinator.com/companies/lucid/jobs/j3REzcP-member-of-technical-staff",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$150K - $250K",
        "equity_range": "0.50% - 1.50%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
          "Python",
          "Distributed Systems",
          "Deep Learning"
        ]
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 87783,
        "title": "Lucid: Generative Simulations powered by Fast World Models",
        "tagline": "Unbounded video games and fully differentiable reinforcement learning gyms",
        "body": "Hey YC! We’re **Alberto and Rami**, the founders of **Lucid**.\n\n<https://youtu.be/fnoyvrGOwIA>\n\nWe’re building generative simulations powered by fast world models. Instead of using traditional game engines with hard-coded physics, our models **learn to simulate reality from pixels**, enabling **real-time interactive environments**. With it we will train robots in their own imaginations and make unbounded gaming experiences. We trained the fastest world model ever seen to simulate minecraft end-to-end (20+fps on a gaming GPU).\n\n### **The Problem: Game Worlds Are Static & Expensive to Build**\n\nModern game development is **slow, expensive, and constrained**:\n\n* **GTA V took 3 years, 1,000 employees, and $100M+** to build—AAA game budgets are skyrocketing and they’re not getting any better.\n* Despite the price tag, these games are inherently **static**, with **predefined** environments, objects, and interactions.\n* Players can’t truly shape the world—every door, street, and event is **pre-scripted**.\n\nMeanwhile, **robotics** faces its own **bottleneck**—AI models trained in simulators (MuJoCo, Isaac Sim, Gazebo) **fail to generalize to the real world (Sim2Real gap)** because today’s simulations are **hand-coded approximations** of physics rather than learned from real-world data.\n\n### **Our Solution: Generative World Models**\n\nLucid replaces **traditional game engines** with a **generative simulation engine** that **learns from data** rather than being manually programmed.\n\n* **Every frame is generated in real-time**, conditioned on player actions.\n* **Trained on video, not game scripts**—our models learn the rules of physics **directly from pixels** rather than hardcoded logic.\n* **Infinite, dynamic game worlds**—players can generate and explore entirely new environments just from a text prompt or sample concept art.\n\n### **A Neural Minecraft Simulator**\n\nWe trained a neural network to **simulate Minecraft end-to-end**—every pixel is generated in real-time, learned from **200 hours of gameplay.**\n\n* **Runs at 20+ FPS on an NVIDIA 4090—5× faster than existing world models (Decart’s Oasis <4 FPS).**\n* Aggressive latent compression—we utilize a VAE with 128x spatial compression allowing us to vastly reduce the amount of tokens needed to represent a single frame\n\n### **What’s Next? Training on the Real World**\n\nWe’re now training our models on **real-world video data** to build a **general-purpose universe simulator** for:\n\n* **Gaming:** The last game engine humanity ever needs—generating unique environments dynamically from simple text or multimodal prompts.\n* **Robotics:** Simulations that actually **match reality**—training embodied AI models in diverse, realistic environments. A fully differentiable, learned simulation framework for reinforcement learning.\n\n### **Want to learn more?**\n\n* **Are you working on AI/robotics and need high-fidelity simulations?** We’re selecting early partners to **fine-tune** **LoRAs** on domain-specific data.\n* **Want to explore the future of generative gaming?** Sign up for **early access to Lucid v2**\n\n**Let’s connect!** Reach us at [**alberto@lucidsim.co**](mailto:alberto@lucidsim.co) or sign up at [lucidsim.co](http://lucidsim.co)",
        "url": "https://www.ycombinator.com/launches/Mpr-lucid-generative-simulations-powered-by-fast-world-models",
        "votes": 30,
        "created_at": "2025-02-18T18:41:34.976Z"
      }
    ]
  },
  {
    "id": 30268,
    "name": "AthenaHQ",
    "slug": "athenahq",
    "former_names": [
      "NewsPod",
      "Otter Health"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c559a82e8bccf756d0c26668df5ed8dc95c8bd00.png",
    "website": "https://www.athenahq.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Make sure your brand doesn’t get left behind as search shifts from traditional SEO to generative AI search.\r\n\r\nAthenaHQ is an AI SEO platform for GEO (Generative Engine Optimization) and AEO (Answer Engine Optimization), helping brands show up in AI-generated answers across ChatGPT, Perplexity, Claude, Gemini, and more.\r\n\r\nAI search is expected to overtake traditional search within the next few years. AthenaHQ fills the gap with a system to measure visibility, identify what AI engines cite and recommend, and help your team improve content and brand presence for AI-first discovery.\r\n\r\nTeam of former product manager on Google Search's information acquisition team, Deepmind Generative Media team, and ChatGPT superusers.",
    "one_liner": "Be the Answer in AI Search - AI SEO across SEO, GEO & AEO",
    "team_size": 12,
    "industry": "B2B",
    "subindustry": "B2B -> Marketing",
    "launched_at": 1739175359,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2025",
    "status": "Active",
    "industries": [
      "B2B",
      "Marketing"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/athenahq",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/athenahq.json",
    "year_founded": 2025,
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    "country": "US",
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        "body": "Today, Liquid Compute emerges from stealth with a $15 million seed round co-led by Chemistry and Firstmark. They are joined by K8 Capital, Night Capital, TrueBridge, Brainchild Holdings, UFO Holdings, Y Combinator and angel investors such as Dmitry Balyasny. Alongside the launch, the company is announcing pending applications before the CFTC for Designated Contract Market (DCM) and Derivatives Clearing Organization (DCO) status to build the first regulated exchange to trade both cash and physically settled contracts on AI infrastructure, starting with compute.\n\n## The Strategic Rationale for Regulation\n\nBuilding a true financial layer for compute requires the same institutional-grade framework that governs traditional commodities. While pursuing a regulated path is long and arduous, and liquidity is difficult to bootstrap, startup entrants such as ICE in energy, CBOE in volatility, and Kalshi in event contracts prevailed and actually accrued most of the financial value in the commoditization of their multi-trillion-dollar asset classes precisely because they secured regulatory status while focusing deeply on the unique physical and structural nuances of their specific markets.\n\nFor compute, there are unique physical dynamics that are particularly challenging to overcome. Oil can be stored in a barrel. Compute cannot. If a GPU sits idle this afternoon, that capacity evaporates forever. Its value depends entirely on location, availability, configuration, and the specific workloads it can run. The heterogeneity of compute is actually far more analogous to the power markets, but instead of acting as a proxy of generating electricity, compute acts as a direct proxy for access to intelligence, making it a critical pillar of both economic and national power. The United States recognizes this reality and is pouring unprecedented capital into chips, data centers, and energy grid expansion to secure its geopolitical edge. However, building supply is only half the equation. To truly secure compute as a strategic asset, America needs robust, regulated market infrastructure to price it, allocate it efficiently, finance its rapid growth, and allow dependent companies to manage their risk.\n\n## Enabling the Compute Trader\n\nBecause intelligence is rapidly developing a measurable cost curve, massive businesses will need to manage their exposure to it. Enterprises running heavy inference will need to hedge against rising AI costs. Neoclouds will need to lock in future utilization revenues, and lenders financing data centers will need forward prices to underwrite cash flows.\n\nThis reality is driving a massive structural shift where the buyer of compute is no longer always the end user. A new class of participant is emerging, including neoclouds, brokers, and dedicated trading firms looking to buy capacity, warehouse it, resell it, arbitrage price differences, or simply take a speculative view.\n\nToday, these participants trade on fundamentally bilateral, cumbersome infrastructure. Every resale requires a new contract, a fresh credit decision, another payment setup, and a separate SLA. As capacity changes hands, the chain of liability becomes hopelessly tangled.\n\nLiquid Compute exists to abstract away that complexity. Before a meaningful futures market can launch, the industry must standardize exactly what is being delivered, which requires verifiable infrastructure, defined performance metrics, and credible physical reference prices. By building an Exchange for Physical (EFP) market and clearing transactions through a common framework, any participant with a balance sheet will be able to take a position on compute without needing to become a cloud operator, credit underwriter, or AI company.\n\nThis is precisely why the company has partnered with institutional market participants like Susquehanna, BGC, and Wintermute. Liquid Compute is building the infrastructure that empowers market makers, lenders, and entirely new classes of participants to trade compute as a liquid asset. More participants taking risk means a more liquid physical market, which in turn creates robust reference prices for the financial market above it. Our overall thesis is that intelligence becomes a utility supplied by many vendors, that its cost becomes a variable buyers have to actively manage, and that managing it well requires a trusted reference price, standardized contracts, and a market to trade them in.\n\nLiquid Compute is a Y Combinator W25 company based in New York.",
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        "id": 110020,
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        "url": "https://www.ycombinator.com/companies/trata/jobs/uR1gMzW-marketplace-operations-manager",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$120K - $150K",
        "equity_range": "0.20% - 0.50%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
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    "news": [
      {
        "title": "Everyone Wants Debt, Not Equity - Bloomberg",
        "url": "https://www.bloomberg.com/opinion/articles/2025-03-19/everyone-wants-debt-not-equity",
        "date": "Mar 18, 2025"
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    ],
    "launches": [
      {
        "id": 87903,
        "title": "Trata – Anonymous buyside research desk for hedge funds",
        "tagline": "Trata uses AI agents to help hedge funds find their next 10-bagger",
        "body": "### **TL;DR**\n\nTrata gives hedge funds un-biased, unfiltered stock analysis from anonymous Analysts at well-known funds. Our AI agents interview Analysts at multi-billion dollar funds, capture their thinking about the stocks they know and publish it anonymously.\n\n### **Problem:**\n\n1. It takes buyside Analysts at least 3 hours to figure out a company’s key narratives/points of debate - what outcomes are going to drive the share price up OR down? Examples: an ongoing lawsuit, a competitor going bankrupt, an Activist campaign, a new CEO, etc. This involves reading earnings call transcripts, initiation reports, talking to Investor Relations, reaching out to other Analysts, and piecing everything together yourself.\n2. Because of the time it takes to do step 1, would-be winners/inflection points fall through the cracks all the time.\n3. Current solutions (idea dinners, forums like Value Investors Club, Twitter DMs, independent research boutiques and even paid Substacks) are fragmented and biased.\n4. The highest quality leads come from talking directly to fellow Analysts, but there’s never been a way to do this at scale, authentically. Until now.\n\n### **Solution:**\n\nWe use LLMs to interview dozens of people a day, get their quick and honest takes on signals/points of debate they’re actually paying attention to, and turn that into a one-of-a-kind research product. Each conversation is with an anonymous hedge fund Analyst who is deeply familiar with the company – think an expert network where the hedge funds are the experts. Contributors share their knowledge to gain access to an exponentially bigger pool of expertise.\n\nWe don’t provide investment advice; we just get you up to speed – fast. We work directly with the compliance teams of multi-billion dollar hedge funds and have a team of human lawyers to ensure SEC compliance.\n\nWe are building the product I wish I had as an Analyst. Our first user interviews liked the idea so much (without any code built) that they are now our angels.\n\n<https://www.youtube.com/watch?v=gE_Ovy1BiTM>\n\n### **Here’s how to think about our value proposition:**\n\nIf a fund manages $300 million, one successful idea (3% position, +50% return) generates $4.5 million in profit and $900K in fees ($720/180K split between the Portfolio Manager and Analyst). This is a 750X, 120X, and 30X ROI on a $6K subscription for the Fund, Portfolio Manager and Analyst.\n\nAll it takes is one decent idea for Trata to be a home run.\n\n### **Our Ask:**\n\nIf you are a hedge fund Analyst or know any hedge fund Analysts / public investors, please reach out! They don't have to be at a big fund like Citadel for us to be interested. We pay very well. They will most likely thank you for the intro. We guarantee anonymity. Contact us at [founders@trytrata.com](mailto:founders@trytrata.com).\n\n### **Our Team’s Story:**\n\nEric and Will met at Cornell as undergrads. Eric and Alex met in high school English and grew up in the same hometown.\n\n[Eric](https://www.linkedin.com/in/emc329/): 4.5 years as a Senior Analyst at a Long/Short Hedge Fund covering tech companies globally. Applied Economics (summa cum laude) at Cornell. Posts on Value Investors Club for fun, Sohn Idea Contest Finalist in 2021, has traveled to 20+ countries in the past few years.\n\n[Will](https://www.linkedin.com/in/william-m-gao/): UChicago PhD Student (ML/AI). Research Scientist Intern at Meta’s Reality Labs, Nvidia’s Deep Imagination Lab, and Adobe Research. Full-time ML Engineer at Meta. CS/Stats/Math triple major in three years and a Master’s in CS his fourth year at Cornell. Globally ranked in certain online video games.\n\n[Alex](https://www.linkedin.com/in/alexanderqchen/): Senior Software Engineer at Titan (YC S18, Series C backed by a16z), Engineer 7 at Medallion (Series C backed by Sequoia), Software Engineer at Oscar Health a year before its IPO. CS degree from UCLA. Took a gap year to pursue bootstrapped entrepreneurship in Taiwan. By far the best chef in the apartment.\n\n![uploaded image](/media/?type=post&id=87903&key=user_uploads/1739520/7ff92c6e-665c-4393-991d-865dda1479be)\n\n",
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        "votes": 58,
        "created_at": "2025-02-21T18:41:41.234Z"
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    "id": 30275,
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Solidroad builds AI agents for CX teams, starting with training and QA. Solidroad agents train human reps in a simulated environment, and evaluate their performance in live customer channels.\r\n\r\nBy starting with training and QA, our agents learn how humans learn, and their performance can be compared directly with human reps. This enables us to prove the value of the rest of the agents on our roadmap.\r\n\r\nSince launching last summer, we’ve reduced onboarding times by 50% at several of the world’s largest outsourced contact centres/BPOs like PartnerHero and Tech Mahindra, and improved go-live CSAT at Crypto.com by 3% (now above 90% CSAT).",
    "one_liner": "AI agents for CX teams, starting with training and QA.",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1734365180,
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    "status": "Active",
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    "regions": [
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      "America / Canada"
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    "stage": "Growth",
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    "app_answers": null,
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    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/solidroad.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/solidroad/?viewAsMember=true",
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    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
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    "founders": [
      {
        "user_id": 1146096,
        "full_name": "Mark Hughes",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder and CEO of Solidroad (W25). Before Solidroad, I founded Gradguide, a coaching and mentorship network for recent grads, where I raised €2M, grew the team to 20, and exited in late 2022.\n\nEarlier in my career, I led Sales, Support, and Customer Success for EMEA at Chargify (now Maxio) and worked as an early sales rep at Intercom. I studied Business at Trinity College Dublin and spent a year at HEC Paris.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/mark-hughes-a36915a7/",
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      {
        "user_id": 342569,
        "full_name": "Patrick Finlay",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder and CTO of Solidroad (W25) and a second-time founder. Previously co-founded Monaru (S2019), where we helped individual creators earn $100k+ each by selling live classes online.\n\nBefore that, I was as a product engineer at Intercom. I hold a BAI in Computer Engineering from Trinity College Dublin; my research focus was on dispute resolution mechanisms for Ethereum smart contracts.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/patjfin/",
        "x_url": "https://twitter.com/patjfin",
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    "jobs": [
      {
        "id": 75036,
        "title": "Senior Product Engineer",
        "url": "https://www.ycombinator.com/companies/solidroad/jobs/2b4DWxs-senior-product-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$200K - $250K",
        "equity_range": "0.40% - 0.60%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
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          "Next.js"
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    "news": [
      {
        "title": "A new chapter for Solidroad: $25M to make every customer interaction count - AI QA & Training Platform for CX Teams | Solidroad",
        "url": "https://www.solidroad.com/resources/series-a",
        "date": "Apr 16, 2026"
      },
      {
        "title": "Solidroad raises $6.5M to help CX teams increase CSAT without increasing cost - AI QA & Training Platform for CX Teams | Solidroad",
        "url": "https://www.solidroad.com/resources/solidroad-raises-6-5m-to-help-cx-teams-increase-csat-without-increasing-cost",
        "date": "Jun 05, 2025"
      }
    ],
    "launches": [
      {
        "id": 86367,
        "title": "Solidroad - AI agents for sales and support teams, starting with training and QA",
        "tagline": "AI agents for sales and support teams, starting with training and QA",
        "body": "**TLDR**:\n\nSolidroad builds AI agents for sales and support teams, starting with training and QA. Solidroad agents train human reps in a simulated environment, and evaluate their performance in live customer channels.\n\nBy starting with training and QA, our agents learn how humans learn, and their performance can be compared directly with human reps. This enables us to prove the value of the rest of the agents on our roadmap.\n\nSince launching last summer, we’ve **reduced onboarding times by 50%** at several of the world’s largest outsourced contact centres/BPOs like PartnerHero and Tech Mahindra, and **improved go-live CSAT at **[**Crypto.com**](http://Crypto.com)** by 3%** (now above 90% CSAT).\n\nIf you run a large support or sales team and care about conversation quality - we would love to speak with you!\n\n[Demo Video:](https://www.youtube.com/watch?v=ONeUPOsK6ss&ab_channel=PatrickFinlay)\n\n**The Problem:**\n\nSales and support teams struggle to consistently deliver high-quality customer interactions. Onboarding new hires takes too long, trainers and QA analysts spend excessive time manually reviewing only a small sample of conversation volume (3-5% at best), and skill gaps often go unaddressed until it’s too late.\n\nWithout full conversation coverage, real-time insights and tailored training, companies face reduced win rates, poor customer satisfaction (CSAT) scores, and inefficiencies that cost time and revenue.\n\n**The Solution:**\n\nSolidroad provides AI agents for conversation training and quality scoring. Sales and support teams use Solidroad to **practice conversations with AI agents** through phone, email, chat, and video calls. Each interaction gets scored and is provided with tailored coaching and feedback.\n\nThe same **scorecards** can be applied to **real customer conversations**, spotting where teams need to improve. Solidroad agents replace manual role-playing and call/chat reviews by analyzing every single conversation—both practice and real ones. By integrating with tools like Intercom, Zendesk, and Gong, Solidroad ensures teams are continually improving in both training environments and live customer interactions.\n\n![uploaded image](/media/?type=post&id=86367&key=user_uploads/1146096/f728213e-9756-4bff-82be-d5a326213988)\n\nWe help teams:\n\n* Reduce onboarding time for new hires with conversation training in a risk-free environment.\n* Save trainer & QA time with automated, scalable coaching & feedback loops.\n* Improve team performance, leading to higher win rates and CSAT scores.\n\n![uploaded image](/media/?type=post&id=86367&key=user_uploads/1146096/45d164e0-c93a-4538-87cd-97f836c48df8)\n\n**About Us:**\n\nPatrick and I are both second-time founders and worked closely together at Intercom. Patrick would build cool tools at Intercom and I would then be the beta tester and try to sell them. One of these projects is still live 7 years on - <https://pages.intercom.com/mark> (I look a little younger in this video vs. the demo above 👴)\n\nI sold my last company, Gradguide, which was a graduate training and mentorship platform for students and grads. Before this, I was the Head of Sales for Chargify in EMEA and an early sales hire at Intercom.\n\nPreviously, Patrick co-founded Monaru (S2019), where we helped creators earn $100k+ selling live classes online during COVID. Before that, he was a product engineer at Intercom where he built tools for their sales and support use case.\n\n![uploaded image](/media/?type=post&id=86367&key=user_uploads/1146096/5f3d9707-48a0-4fb8-a9a0-8ec86568bc9e)\n\n**Our Ask:**\n\nIf you (or someone you know) are hiring 100+ reps/month for their sales or support teams and are having trouble with their go-live CSAT scores or ramp times, please reach out.",
        "url": "https://www.ycombinator.com/launches/MT1-solidroad-ai-agents-for-sales-and-support-teams-starting-with-training-and-qa",
        "votes": 20,
        "created_at": "2024-12-17T20:29:24.802Z"
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    "id": 30283,
    "name": "Confident AI",
    "slug": "confident-ai",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2e739bf439400b44a89bc15e023cbe6bca3f9e00.png",
    "website": "https://confident-ai.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Confident AI provides enterprises an all-in-one platform to evaluate, observe, red team, and govern AI applications. Built by the creators of DeepEval (16k stars, 8m monthly downloads), Confident AI is able to offer battle-tested, open-source evaluation algorithms while providing the infrastructure needed for teams to stay confident their AI systems.",
    "one_liner": "The LLM Eval and Observability Platform for AI Quality",
    "team_size": 7,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1736794966,
    "tags": [
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      "Generative AI",
      "Open Source",
      "AI"
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2025",
    "status": "Active",
    "industries": [
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      "Engineering, Product and Design"
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    "regions": [
      "United States of America",
      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/confident-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/confident-ai.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/confident-ai",
    "x_url": "https://x.com/confident_ai",
    "fb_url": null,
    "cb_url": null,
    "github_url": "https://github.com/confident-ai/deepeval",
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    "app_video_url": null,
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    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
    },
    "founders": [
      {
        "user_id": 1314014,
        "full_name": "Jeffrey Ip",
        "title": "Founder/CEO",
        "founder_bio": "Creator of DeepEval, the open-source LLM evaluation framework. and grew it to over 400k monthly downloads and counting. Previously SWE @ Google, Microsoft.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/jeffrey-ip-2295ab224",
        "x_url": "https://x.com/jeffr_yyy",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8ebbb4be68c177694d10afab9a9ef224ad160036.jpg"
      },
      {
        "user_id": 1993540,
        "full_name": "Kritin Vongthongsri",
        "title": "Founder/CTO",
        "founder_bio": "Building the #1 LLM Evaluation Platform & empowering teams to red-team and safeguard LLM apps. AI Researcher and CHI-published author, previously built NLP pipelines for fintech startup and researched self-driving cars/HCI during @ Princeton (ORFE'24 + CS).",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/kritin-vongthongsri",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3211bc4802ea47f7483a20fb06d69679c2eb7c1c.jpg"
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    ],
    "jobs": [
      {
        "id": 92377,
        "title": "Founding Developer Advocate",
        "url": "https://www.ycombinator.com/companies/confident-ai/jobs/e1asnlT-founding-developer-advocate",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$140 - $200",
        "equity_range": "0.50% - 1.50%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 96407,
        "title": "Founding Product Engineer (Frontend)",
        "url": "https://www.ycombinator.com/companies/confident-ai/jobs/pltgckw-founding-product-engineer-frontend",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Frontend",
        "salary_range": "$175 - $250",
        "equity_range": "0.50% - 1.50%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 97390,
        "title": "Founding GTM",
        "url": "https://www.ycombinator.com/companies/confident-ai/jobs/PETCNJ8-founding-gtm",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$150K - $200K",
        "equity_range": "1.00% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 98824,
        "title": "Founding Open Source Growth Engineer",
        "url": "https://www.ycombinator.com/companies/confident-ai/jobs/mgnw9YM-founding-open-source-growth-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$140 - $200",
        "equity_range": "0.50% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
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    ],
    "news": [],
    "launches": [
      {
        "id": 87657,
        "title": "Confident AI: The Evals Platform for AI Quality & Observability",
        "tagline": "An evaluation platform for engineers, QAs, and PMs to pinpoint which iteration of their AI to put in production.",
        "body": "**TL;DR – Confident AI is a cloud-based evaluation platform to help teams build reliable AI products. Its evals are powered by DeepEval - an open-source LLM evaluation framework, which has over 12k stars, 3million monthly downloads, runs 2million evals per day, and is most commonly found in CI/CD pipelines of enterprises such as BCG, Astrazeneca, AXA, Microsoft.** \n\n**Confident AI allows engineering teams to iterate on their LLM app x10 faster by bringing best-in-class evals to traditional AI observability.**\n\n[Try Confident AI today (setup in 5 min)](https://docs.confident-ai.com/confident-ai/confident-ai-introduction)\n\n![uploaded image](/media/?type=post&id=87657&key=user_uploads/1314014/fc01311e-e55b-4632-8256-75115c04f3f5)\n\n### **The Problem**\n\nDespite LLM evaluation being a problem with many solutions on the market, it remains unsolved. General LLMOps observability platforms that offer evals lack robust metrics and are more suited for debugging through tracing UIs, while evaluation-focused frameworks don’t offer enough control for users to customize and make metrics reliable for specific use cases.\n\nAs a result, developers often build custom evaluation metrics and pipelines from scratch—writing hundreds or even thousands of lines of code to test their LLM apps. The worst part? Once they’ve fine-tuned their metrics and are ready to deploy them across the organization, they hit a roadblock: there’s no easy way to collaborate. Because these custom metrics exist in scattered code rather than an integrated ecosystem, incorporating them to enable team-wide adoption becomes frustrating and inefficient.\n\n### **The Solution**\n\nWe built DeepEval for engineers to create **use-case-specific, deterministic** LLM evaluation metrics, and when you're ready, Confident AI brings these evaluation results to the cloud for collaboration. This allows teams to collaborate on LLM app iteration — with no extra setup required.\n\n1. Curate your evaluation dataset on Confident AI.\n2. Run evaluations locally with DeepEval's metrics, pulling datasets from Confident AI.\n3. View and share testing reports to compare prompts and models and refine your LLM application.\n\nConfident AI continuously evaluates monitored LLM outputs for production, automatically enriching your dataset with real-world, adversarial test cases. This keeps your evaluation data high-quality and reflective of your use case.\n\n<https://youtu.be/yLIhVn3B8Wg>\n\n### **How are we different?**\n\nWhat we've learned is in order to get legitimate evaluation results required for benchmark-driven iteration, you need extremely high-quality metrics and datasets. That's why we've built specifically for the ideal LLM evaluation workflow:\n\n* **DeepEval** handles robust, deterministic metrics required for rigorous, use-case-tailored validation.\n* **Confident AI** provides both technical and non-technical teams the ability to collaborate on pre and post-deployment evals and observability.\n\n> If your evaluation results are 100% reflective of your LLM application's performance, what's stopping you from shipping the best version of your LLM app?\n\n### **Customer ROI metrics**\n\nWe've been working with companies of all sizes, and some of the ROI metrics include:\n\n* Decreasing LLM cost by **more than 70%** through evaluation to safely switch away from GPT-4o to cheaper models.\n* Decreasing time to deployment for a team of 7 from **1-2 weeks to 2-3 hours**.\n* Helping a team of 30 customer support agents **save 200+ hours a week** by having a centralized place to analyze LLM performance live.\n\nThere's more to come as we start publishing some case studies on our website, so stay tuned!\n\n### **Our Ask**\n\nThanks for sticking with us to the end! We’re on a mission to help companies get the most ROI out of their LLM use cases, and we believe this is only achievable through rigorous LLM evaluation at scale. If our mission resonates with you, Confident AI is always here and available to try immediately (coding required, but free to try): <https://www.confident-ai.com/docs>\n\nIf you want to explore our enterprise offering, you can always [talk to us here.](https://calendly.com/d/cqbp-t88-y4j/confident-ai-intro-call)\n\n### **About Us**\n\nConfident AI is founded by **Jeffrey Ip**, a SWE formally at Google scaling YouTube's creators studio infrastructure, and Microsoft building document recommenders for Office 365, and **Kritin Vongthongsri**, an AI researcher and CHI-published author, who previously built NLP pipelines for fintech startups and researched self-driving cars/HCI during his time at Princeton, where he studied ORFE and CS.",
        "url": "https://www.ycombinator.com/launches/Mnp-confident-ai-the-evals-platform-for-ai-quality-observability",
        "votes": 375,
        "created_at": "2025-02-13T17:44:57.361Z"
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    ]
  },
  {
    "id": 30286,
    "name": "Nitrode",
    "slug": "nitrode",
    "former_names": [
      "Roach AI",
      "Inception Technologies"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/514545bed169ad1eb626571d7e0d77375b33f656.png",
    "website": "https://www.nitrode.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Nitrode is a research company focused on improving game development with AI. To advance game development, we believe AI models firstly need to be judged against robust evaluation frameworks that reflect the actual complexity of the field.\r\n",
    "one_liner": "Frontier AI research to advance game development",
    "team_size": 8,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1738144366,
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        "body": "Hey YC,\n\nWe’re Ben, Brian, and Sejoon from **Nitrode.**\n\nNitrode is a research company focused on improving game development with AI. \n\n**The Problem - How do we advance game development with AI?**\n\nWe started by building an AI game engine. It got to [**#3 on Product Hunt**,](https://www.producthunt.com/products/nitrode-ai-game-engine) and we gained several useful insights:  despite recent progress in agentic coding, game development remains uniquely difficult for AI models because it requires **(1) strong spatial reasoning**, **(2) reliable tool use/tool-calling**, **(3) strong agentic coding capabilities** and the **(4) ability to operate in real-time environments for complex games**.\n\n**The Solution** \n\nTo advance game development, we believe AI models firstly need to be judged against robust evaluation frameworks that reflect the **actual complexity of the field.** Over the coming months, Nitrode will open-source a suite of benchmarks designed to measure where AI models truly stand in game development. Our first benchmark, [**GameEngineBench**,](https://arxiv.org/abs/2607.03525) evaluates agentic coding performance on C++ game engine tasks in real runtime environments.\n\n![uploaded image](/media/?type=post&id=104921&key=user_uploads/1654263/a084ce2c-86d5-431b-97a1-d2ccf07b3f04)\n\nOur results are clear: model class and reasoning effort are strong predictors of performance, while model rankings align more closely with spatial reasoning benchmarks than with traditional agentic coding benchmarks. **This suggests that game development is fundamentally different from pure coding.** Success requires not only writing correct code, but also understanding space, tools, runtime behavior, and the interaction between systems.\n\nWe also observe significant complementarity across frontier models, indicating that different models exhibit distinct strengths within the game development task space. Mythos/Fable-class models point toward a potential step change in AI game development capability, where improved spatial understanding and stronger tool use combine to produce emergent behaviors that older model generations struggle to match.\n\nOur benchmark has revealed clear model-specific performance gaps across game development tasks, with outcomes that diverge meaningfully from standard agentic coding benchmarks.\n\nWe are also building [Mint](http://mint.nitrode.com), a platform that onboards game development experts to work on custom datasets. Think engine programmers, technical artists, and developers with years of enterprise/indie game development experience. We already have hundreds of contributors across game development and creative software. Whenever you need a certain type of data, we construct and lead a team to produce:\n\n* Post-training /SFT data captured from real workflows: how developers actually build, debug, test, and iterate inside engines and creative tools.\n* RL environments and executable tasks where models learn through execution and feedback.\n* Custom benchmarks and post-training for gaming enterprises: we pinpoint where models fail on real game development tasks, then post-train a custom model to close those gaps.\n\n**Team** \n\nBen and Brian studied Information Science and Computer Science at Cornell, while Sejoon studied Computer Science and Product Design at Stanford. The trio has been building things together for the last six years, from a sports team analytics tool to Nitrode, and are, unsurprisingly, massive gaming nerds. Sejoon is top 400 in the world at moving GeoGuessr and a certified Civ sweat, Brian is ranked in Tetris, and Ben used to be ranked in Minecraft speedrunning.\n\n**Our Ask:**\n\n1. If you need custom datasets or evals, let us know! Email us [research@nitrode.com](mailto:research@nitrode.com)\n2. Are there any creative or gaming companies you could introduce us to?\n\n**Thank you!**",
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        "title": "Calltree - AI Agent That Optimizes Enterprise Call Center Workflows",
        "tagline": "AI operations analyst for enterprise call center workflows",
        "body": "TLDR: Cutting just 1 second off each customer call can save enterprise call centers millions of dollars. Calltree helps enterprises' VP of Operations understand how to make their call center more efficient. Our AI agent analyzes millions of minutes of call center recordings to find inefficiencies in workflows and quantifies the cost of each action. For example, when a rep is handling a credit card dispute, Calltree can identify that reps spend 30 seconds per call on manual data gathering and data entry, propose a solution, and measure the opex savings. Calltree surfaces these insights in an analytics tool and generates reports, making it easy for operation leaders to build business cases to prioritize improvements, realizing millions in opex savings.\n\nAsk: If cutting every second matters to your call center, please email us [kun@calltree.ai](mailto:kun@calltree.ai) and [rob@calltree.ai](mailto:rob@calltree.ai) or [book a demo here.](https://calendly.com/kun-calltree/30min) \n\n[Checkout our launch video!](https://youtu.be/v-9hFgH_gCI)\n\n**The Problem**\n\nLarge enterprises track every second of a phone call because **reducing average call time** can save millions of dollars each year. However, enterprises don't have a scalable way to find these inefficiencies. Manual time studies (in person shadowing call center reps, etc.) are tedious, unscalable, and expensive. \n\n**What Are Screen Recordings?**\n\nMany contact centers don’t just record the audio of customer calls; they also capture **everything the rep does on their screen** for training, compliance, and quality assurance. **Less than 1% of these screen recordings** are ever reviewed by a manager or analyst and **miss 99% of calls**. This leads to blind spots and missed opportunities for massive cost savings.\n\n**Our Solution**\n\n* **AI agent that finds workflow inefficiencies** (e.g., toggling between multiple systems to complete a single task).\n* **Quantify the time and cost** of each action (e.g., “Switching between these five legacy apps costs 20 seconds per call → $5M/year”).\n* **Operation leaders use these insights** to build quick business cases to fix inefficiencies. After changes are implemented, Calltree measures the impact pre- and post-fix to **prove cost reductions**.\n\n**Our team**\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXdf17k-TMCzITHR-cAuUjxmf1XRQMpsQRvVeVslxQKILE2Jv6xHq2NSXtJWSM1WyEDXZBON4FJ1U7A77AKzZt7VvkUe7HGq8ozwJT3lf8O4nUgM8CwHtfhZ60iIsEanYT077wTjFA?key=5B91WL3MPEXhLdY8htNQCHC6)\n\n* **Kun** led product at AWS’ contact center solution, working with hundreds of large enterprises such as Capital One, Intuit, and Adobe.\n* **Rob** specializes in multimodal search for video and audio, previously helped companies like Walmart and Etsy fine tune embedding models.\n* After seeing how **little** of these screen recordings ever got analyzed—despite their huge potential value—we decided to automate that process end-to-end.\n\n**Our Ask**\n\n* Follow us on [LinkedIn](https://www.linkedin.com/company/calltree-ai), and [book a demo](https://calendly.com/kun-calltree/30min) with our team.\n* Share this post! -  Do you know anyone in your network who is a VP of Operations, VP of call center operations, VP of Contact Center? Please share this post (or our demo video below!)\n* Learn more at [calltree.ai](https://calltree.ai)",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "At Harper, we are building a fully autonomous commercial insurance brokerage powered by AI. Our initial focus is on mid-sized businesses with complex insurance needs, but our vision is to eventually serve every business in the country.\r\n\r\nBy leveraging AI to automate key workflows in the insurance process, we efficiently secure optimal coverage for each client's unique requirements at competitive prices and with rapid turnaround. Our AI system learns from the expertise of our brokers, accumulating not just knowledge but also the specific workflows, data, and capabilities that pave the way to full autonomy.",
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        "full_name": "Dakotah Rice",
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        "founder_bio": "CTO @ Harper (W25) prev: Goldman, Poolit. Building an AI native commercial insurance brokerage.",
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        "url": "https://www.ycombinator.com/companies/harper/jobs/sgnMdwY-future-ai-founder",
        "location": "San Francisco",
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        "url": "https://www.ycombinator.com/companies/harper/jobs/pDx68zo-gtm-engineer",
        "location": "San Francisco",
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        "url": "https://www.ycombinator.com/companies/harper/jobs/df0E48G-member-of-technical-staff",
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        "body": "Hey YC! It’s [Tushar](https://www.linkedin.com/in/tushar-nair-100787144) and [Dakotah](https://www.linkedin.com/in/dakotahrice), and we're building Harper, an AI-powered commercial insurance brokerage transforming how businesses get the coverage they need. Since acquiring our first customers in October, we’ve already grown to write over $6M in annualized premiums across 35 states.\n\n### The Problem\n\nCommercial insurance is drowning in operational inefficiency:\n\n* Manual processes that limit broker productivity\n* Complex, redundant applications\n* Information asymmetry and limited market access\n\nThese antiquated systems create terrible customer experiences and prevent traditional brokerages from scaling.\n\n### Our Solution\n\nWe built an insurance brokerage with a suite of AI solutions that we use internally to enhance our sales, operational, and service interactions. Harper Hub, our flagship tool can:\n\n* Complete forms automatically\n* Find optimal carriers and underwriters\n* Manage client communications seamlessly\n\nThis creates an [infinitely scalable brokerage](https://www.youtube.com/watch?v=KvD1NyGJq3k) that delivers superior service with significantly higher margins.\n\n### Our Vision\n\nAt Harper, we believe that every legacy professional services business will have an AI-Native counterpart that will operate more efficiently, generate more revenue, and grow faster than incumbents. We want to become the largest insurance brokerage in the world with the best NPS. The commercial insurance brokerage market represents over $100B in annual commissions.\n\n### The Team\n\n![uploaded image](/media/?type=post&id=88087&key=user_uploads/1654704/73b6cf13-e7f4-49a9-a8d8-dba947ef85e5)\n\nWe've known each other since we started our careers at Goldman Sachs, where Tushar led ML/AI engineering teams automating services for the commodities desk while Dakotah worked on the Technology, Media, and Telecommunications Team in Investment Banking. He then spent time at Carlyle and Coatue.\n\nTushar spent nearly 9 years at Goldman before leaving to found Poolit with Dakotah, a fintech company that scaled to $100M AUM. While looking for their next project, they started thinking about the highest-impact solutions for LLM-based AI tools.\n\nWe decided to blend Dakotah’s family history in insurance and entrepreneurship with Tushar's technical expertise in automation to build the world’s first AI Native Commercial Insurance Brokerage.\n\n### Our Ask\n\nIf you know any businesses with complex insurance needs, please reach out to us at [harper@harperinsure.com](mailto:harper@harperinsure.com)",
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        "tagline": "Orbital maneuvers in hours instead of months with cryogenic propulsion",
        "body": "### **The Problem**\n\n_“The Space Launch advances we have seen in this Third Space Age to date are just a Special Case in the Third Space Age of Mobility._\n\n_\\[Our capabilities\\] will evolve into a broader General Case of Responsiveness, Reusability, and Servicing/Logistics that will encompass the whole domain and enable **Dynamic Space Operations**.”_\n\n -       _Lt. General (Ret.) John Shaw, US Space Force_\n\nIn October 2021, China’s Shijan-21 was launched into Geosynchronous Transfer Orbit (GTO), where it docked with a navigation satellite, moved the asset beyond the typical graveyard orbit, and returned to Geosynchronous Earth Orbit (GEO). This capability far exceeds what the American space market has been able to achieve, and large providers are far behind schedule.\n\n**_Access to Space_**\n\nRecently, a mission was performed by the government to test how long it would take to put an emergency military asset into orbit. The acceleration effort led to the launch of a vehicle in 5 months. While this was faster than previous efforts, a lot can happen in 5 months, especially during times of unrest. The US Space Force needs a high-thrust, high-efficiency vehicle to perform dynamic space operations in hours to be able to protect our critical satellite infrastructure.\n\n**_In-Space Propulsion_**\n\nCurrent in-space propulsion systems rely on one of the following, both of which have significant downsides:\n\n* Storable propellants\n* Electric propulsion\n\nStorable propellants can only provide a few pounds of thrust (\\~3.75 lbf) and modest efficiency at 250 sec to 320 sec of specific impulse (Isp). Although the engines are simple and reliable, the performance is not adequate for responsive maneuvers. Meanwhile, electric propulsion boasts extremely high Isp (1300 sec), but the thrust is extremely low, coming in at less than 0.007 lbf.\n\n### **The Solution**\n\nTaking advantage of the decreasing costs of launch services and chemical propulsion development over the last 15+ years, Orbital Operations is building a high-thrust, reusable space vehicle that will be stationed in orbit to perform rapid dynamic space operations for the military, executing and finalizing orbital maneuvers in hours vs months. There are 3 key pieces of development:\n\n* The Cryo-Cooler\n* The Rocket Engine\n* The Vehicle\n\n**_The Cryo-Cooler (BOREAS)_**\n\nThe first milestone to unlock dynamic space operations is to develop a functioning cryogenic cooling system capable of storing high-efficiency propellants for an indefinite amount of time while in space. With a letter of support from NASA, we have access to the 15+ years of research and development they have put together on cryogenic fluid management and have the capabilities to commercialize the technology. Using a Reverse Brayton Cycle (RBC), turbomachinery, and advanced manufacturing techniques, we can develop a commercially viable 20 Kelvin cryocooler.\n\n![uploaded image](/media/?type=post&id=87855&key=user_uploads/2288560/eeb9f9e4-d674-458e-804a-f09ea4b7d42b)\n\n<https://youtu.be/wGLFcHqcLmk>\n\n**_Rocket Engine_**\n\nOrbital Operations will develop an in-house chemical propulsion engine capable of >5000 lbs of thrust and a targeted Isp no less than 450 sec. We have been a part of multiple engine development campaigns from the beginning, ranging from 23,000 lbf (Aeon-1, Relativity) all the way to 550,000 lbf (BE-4, Blue Origin).\n\n![uploaded image](/media/?type=post&id=87855&key=user_uploads/2288560/596e30a3-93f2-4e08-b180-e7c7ace91968)\n\n**_The Vehicle_**\n\nOur initial vehicle will look to host modular government payloads (electro-optical cameras, infrared cameras, signal collection, deployable decoys, weapon systems, etc.). Continued development will be done for rendezvous operations, both for military applications and commercial applications.\n\n<https://youtu.be/5S_LPNgXIjk>\n\n**Who We Are**\n\n![uploaded image](/media/?type=post&id=87855&key=user_uploads/2288560/e7c957ae-056f-4dd5-85a7-d06a54734350)\n\nBen and Ross have over 15 years of combined experience in the aerospace industry from NASA, Aerojet Rocketdyne, SpaceX, Blue Origin, and most recently, Relativity Space. They met at Relativity Space when tasked with developing and qualifying the Flight Termination System for the Terran-1 rocket. Since then, Ben and Ross have been working closely together developing turbomachinery systems and heat exchangers for the Aeon-R engine before leaving Relativity to start Orbital Operations. They bring a unique skillset based on rocket engine and turbomachinery development, as well as a wide array of advanced manufacturing capabilities.\n\n**The Ask**\n\n* **Feedback** – Please reach out to ask questions, share insights and experiences in the aerospace industry\n* **Connect** – Any and all contacts within the military (US Space Force and Air Force) would be appreciated! Also looking for warm introductions to commercial customers\n* **Share** – Spread the word and follow along! Space is fun, and rocket engines are exciting to watch, even when they disassemble themselves!",
        "url": "https://www.ycombinator.com/launches/Mr1-orbital-operations-high-thrust-reusable-vehicles-in-space",
        "votes": 29,
        "created_at": "2025-02-20T08:50:14.954Z"
      }
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    "id": 30295,
    "name": "Infinite",
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    "website": "https://infinite.net",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Infinite is a stablecoin payment processor. We offer businesses turnkey APIs and SDKs to instantly move money anywhere in the world at a fraction of the cost of traditional solutions.",
    "one_liner": "Global B2B Stablecoin Processor",
    "team_size": 4,
    "industry": "Fintech",
    "subindustry": "Fintech -> Payments",
    "launched_at": 1739870082,
    "tags": [
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      "Payments",
      "B2B",
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    "batch": "Winter 2025",
    "status": "Active",
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      "America / Canada"
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    "url": "https://www.ycombinator.com/companies/infinite",
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    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://linkedin.com/company/infiniteinc",
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    "github_url": "https://github.com/infiniteagents",
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      "url": "https://www.ycombinator.com/people/brad-flora"
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    "founders": [
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        "user_id": 39977,
        "full_name": "Nikhil Srinivasan",
        "title": "Founder/CEO",
        "founder_bio": "Cofounder and CEO of Infinite with Raj Lad. Previously platform product lead at Sardine and Coinbase (S12) via acq. Distributed Systems (F1).",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/nikhilsrinivasan",
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        "user_id": 661959,
        "full_name": "Raj Lad",
        "title": "Founder/CTO",
        "founder_bio": "Cofounder and CTO at Infinite. Previously payments tech lead at Sardine where I launched the global stablecoin payments and credit risk workflow products.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/rajlad/",
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    "jobs": [
      {
        "id": 72981,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/infinite/jobs/LqkMhIs-founding-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$108K - $230K",
        "equity_range": "0.25% - 1.00%",
        "experience": "6+ years",
        "visa": "Will sponsor",
        "skills": [
          "Go",
          "Python",
          "React",
          "TypeScript"
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      {
        "id": 88276,
        "title": "♾️ Infinite: Global Stablecoin Payment Processor",
        "tagline": "Fast, affordable global payments.",
        "body": "[Infinite](https://youtu.be/L0Zho4tT8w8)\n\n#### **TL;DR: Fast-track your stablecoin integration**\n\nInfinite makes it easy for developers to embed global stablecoin payment rails through a turnkey SDK. Our customers use us to move money cross-border on same-day with low fees, all without crypto complexity.\n\n#### **The problem**\n\nAfter talking to over hundreds of merchants and payment processors, we found that global payments are slow, expensive, and unreliable. Traditional financial rails such as SWIFT result in high fees and multi-day delays with little transparency on the state of their transfer. Yet companies, both big and small, struggle to adopt stablecoins due to complex compliance requirements and fragmented vendor integrations.\n\n#### **Our solution**\n\nWe're building what merchants worldwide need: fast, affordable global payment rails that can be integrated in days instead of months. Infinite can process same-day payments to over 170 countries, enabling businesses to leverage stablecoins as a settlement network (a la SWIFT) for cross-border payments. Our network of on and off-ramps provides connectivity to local fiat funding and payout flows, enabling faster global money movement and our turnkey SDKs and APIs allow businesses to embed stablecoins into their applications faster. Today, our platform supports:\n\n* **Customer Bank to User Bank** — US bank -> International bank (e.g., USA to LATAM), allowing businesses to send local currency payments with instant settlement to LATAM, Europe, Africa, and SEA\n* **Customer Bank to User Wallet** — US bank -> user wallet, allowing businesses to send USD stablecoin payouts globally and instantly\n* **Customer Bank to User SDK** — Embedded wallet and hosted links experience for payment beneficiaries to seamlessly receive and manage stablecoin payments without dealing with crypto complexity\n* **Treasury Management** — Store balances in USD-denominated stablecoins earn a competitive yield and issue cards against wallet balances\n\n![uploaded image](/media/?type=post&id=88276&key=user_uploads/39977/7323ca79-3e4d-4e27-8a2d-7417c40b06c4)\n\n#### **Our wedge**\n\nWe partner with early-stage to mid-market companies with global payments, contractor payouts, and treasury management workflows, including:\n\n* **Creator Economy** – Creator payouts for platforms looking to reduce payment costs, increase successful delivery rates to their global creator base, and offer USD-based payout options\n* **Global Payroll** – Global payroll platforms looking to increase coverage, streamline tax compliance, and move money faster.\n* **Logistics** – Import/export payments for businesses struggling with slow settlement times and high fees in cross-border trade\n* **Marketplaces** – Marketplace payouts for platforms needing to send frequent, low-cost payments to sellers and service providers worldwide\n* **Neobanks:** Traditional banks for SMBs or neobanks in emerging markets looking to hold stablecoin-backed treasuries and remit globally\n* **Gaming** – eSports and gaming audiences are increasingly global, and consumers demand instant off-ramping options in their local markets\n\n#### **About us**\n\nWe’re building this platform to solve pain points we experienced building financial products at scale at companies like [Sardine](https://sardine.ai) and [Coinbase,](https://coinbase.com) where we learned about customers’ needs firsthand.\n\n![uploaded image](/media/?type=post&id=88276&key=user_uploads/39977/da6a2143-8cec-4854-b28a-5b2123b88f15)\n\n**Ready for instant global payments that just work?** Book a demo [here](https://cal.com/infinite) or reach out to us at [founders@infinite.dev](mailto:founders@infinite.dev)!\n\n![uploaded image](/media/?type=post&id=88276&key=user_uploads/39977/f12c7d30-ed73-413a-8d57-a08bc1f459b1)\n\n",
        "url": "https://www.ycombinator.com/launches/Mxo-infinite-global-stablecoin-payment-processor",
        "votes": 48,
        "created_at": "2025-03-06T04:43:08.672Z"
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    "id": 30296,
    "name": "Peppr AI",
    "slug": "peppr-ai",
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    "website": "https://www.usepeppr.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Peppr makes the sales call itself the enablement surface. Our real-time overlay listens to customer conversations, surfaces approved answers to technical questions instantly, and suggests discovery questions to deepen signal - all grounded in your company's existing knowledge across 150+ enterprise tools. Reps stop deferring, messaging stays consistent, and enablement teams finally get visibility into where live conversations break down.",
    "one_liner": "In-call AI teleprompter that helps reps close enterprise deals",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Sales",
    "launched_at": 1739485399,
    "tags": [
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      "Sales Enablement"
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2025",
    "status": "Active",
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    "regions": [
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      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "year_founded": 2025,
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    "country": "US",
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      {
        "user_id": 1481983,
        "full_name": "Nitya Arora",
        "title": "Founder/CEO",
        "founder_bio": "Improving the data layer for agentic AI systems",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/nityaarora108",
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        "full_name": "Sachitt Arora",
        "title": "Founder/CTO",
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        "id": 79167,
        "title": "AI Developer / AI Engineer",
        "url": "https://www.ycombinator.com/companies/peppr-ai/jobs/ZJhISZP-ai-developer-ai-engineer",
        "location": "Cupertino, CA, US / San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$100K - $150K",
        "equity_range": "0.25% - 1.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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        "title": "Backend Engineer",
        "url": "https://www.ycombinator.com/companies/peppr-ai/jobs/G5EZKYI-backend-engineer",
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        "type": "Full-time",
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        "role_type": "Full stack",
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        "equity_range": "0.25% - 1.00%",
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        "title": "Frontend/Full-Stack Engineer",
        "url": "https://www.ycombinator.com/companies/peppr-ai/jobs/LV9cj5B-frontend-full-stack-engineer",
        "location": "Cupertino, CA, US / San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$100K - $150K",
        "equity_range": "0.25% - 1.00%",
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        "visa": "US citizen/visa only",
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          "Python",
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      {
        "id": 87684,
        "title": "Peppr AI: The world's first AI-powered knowledge capture platform",
        "tagline": "Enabling teams of any scale to move at startup speed",
        "body": "### **TL;DR**\n\nLost knowledge is lost productivity.\n\nPeppr AI turns scattered company data into a living, self-improving knowledge hub to fuel faster decisions across your organization. Through this, Peppr ensures that **no matter** **how much your team scales in size, it can still operate with the same speed as the leanest startups.** \n\n**The Problem**\n\nAs companies scale, their teams inevitably grow—and so does their information. Projects multiply, contacts proliferate, and goals stack up. Critical details sink into buried Slack threads, outdated Confluence docs, and a myriad of PM tools. This not only leads to incessant handoff meetings and endless email threads, but **90% of critical knowledge remains undocumented (in large U.S. businesses) due to inefficient knowledge-sharing.**\n\n### **Our Solution**\n\nPeppr AI is built to solve these deep-seated knowledge bottlenecks.\n\n**Unlike tools that rely on employees manually documenting what they do (which we all know they don’t ;)**, Peppr autonomously captures critical insights hidden in engineering workflows—surfacing the knowledge that typically goes undocumented.\n\n[Peppr AI Demo](https://youtu.be/toz3hokheXs)\n\nBy **autonomously ingesting data** from key platforms, Peppr:\n\n1. **Auto-Generates Internal Documentation**\n   * Creates synthesized summaries of daily activity from Slack, Notion, Jira, etc., keeping everyone up to speed.\n2. **Offers Intelligent, Real-Time Insights**\n   * Pinpoints blockers in projects and recommends intelligent workflows or POCs (Points of Contact) to resolve them.\n3. **Develops “Virtual Employee Minds”**\n   * Retains institutional knowledge, so when employees leave or are away, their expertise doesn’t have to be waited on and doesn’t walk out the door with them.\n4. **Supercharges Existing AI Tools**\n   * Empowers AI tools like Cursor and Glean with the most advanced, continuously updating knowledge base, enabling them to operate with deeper context and greater accuracy.\n\n![uploaded image](/media/?type=post&id=87684&key=user_uploads/1481983/ea6c5c9c-368e-451e-978b-fd817e630b03)\n\nOur ‘virtual employee’ dashboard doesn’t just track productivity—it unlocks hidden insights, revealing impact and expertise across the org in real-time.\n\n![uploaded image](/media/?type=post&id=87684&key=user_uploads/1481983/11f1a5c2-30bf-4cb9-8404-bf369d4b9ebe)\n\nA command center for execution—Peppr’s team-wide dashboard pinpoints roadblocks, suggests the fastest resolutions, and ensures work never stalls.\n\n### **Why It Matters**\n\nIn the perfect information system, no one wastes time hunting for answers, waiting for replies, or sitting through redundant meetings. **Unfortunately, for most organizations today, it's the opposite.** \n\nEngineers get blocked searching for past solutions instead of shipping faster. Managers struggle with visibility. Teams waste hours trying to align.\n\n**Peppr changes this.**\n\nUnlike other AI-powered tools, which only surface information that employees have manually written down, **Peppr AI captures and records the knowledge that never makes it into documentation** – so work moves forward instead of in circles.\n\nAnd because every productivity tool, AI agent, and search system is only as powerful as the data it relies on, Peppr doesn’t just unify knowledge—it supercharges all your existing systems. **Like an internal Scale AI**, it continuously organizes, refines, and contextualizes your data, ensuring every one of your organization’s systems operates at peak efficiency. **No bottlenecks. No blind spots. Just pure execution at startup speed—no matter how big you grow.**\n\n### **Our Ask**\n\n* **Connect us to Series B+ Startups and Enterprise Teams (30+ Employees)** that are struggling with growing silos, inefficiencies, and lost productivity.\n\n![uploaded image](/media/?type=post&id=87684&key=user_uploads/1481983/3a659f02-da4d-469a-8d8c-f97a632545a2)\n\n",
        "url": "https://www.ycombinator.com/launches/MoG-peppr-ai-the-world-s-first-ai-powered-knowledge-capture-platform",
        "votes": 109,
        "created_at": "2025-02-14T01:03:46.661Z"
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    "name": "Miyagi Labs",
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    "all_locations": "New York City, NY, USA",
    "long_description": "Miyagi Labs is an AI-powered exam preparation platform built to unlock human intelligence and democratize world-class education globally. We provide students with an elite AI tutor, hyper-personalized study analytics, and an infinite engine of rigorous practice material tailored to exam material.\r\n\r\nWe currently support major standardized exams across North America, Europe, Africa, and Asia, including the SAT, ACT, and NYC SHSAT (US), the UTME (Nigeria), the KCSE, KJSEA and KPSEA (Kenya), the NEET and CAT (India), and the YKS (Turkey).\r\n\r\nWe’re building the platform we wish we had when studying for exams. We envision a world where students anywhere can come to Miyagi to receive personalized, world-class AI tutoring designed to unlock their full potential.",
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    "team_size": 2,
    "industry": "Education",
    "subindustry": "Education",
    "launched_at": 1739904496,
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    "batch": "Winter 2025",
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    "year_founded": 2025,
    "city": "New York City",
    "country": "US",
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        "full_name": "Tyrone Davis III",
        "title": "Founder/CEO",
        "founder_bio": "Passionate about education. Previously founded the nonprofit The Gift of Chess spreading chess education globally. I'm from NYC and studied computer science at MIT.",
        "is_active": true,
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        "title": "Miyagi Labs: AI to transform YouTube content into interactive courses",
        "tagline": "100+ courses with top professors and creators",
        "body": "Hi everyone! We are [Guang](https://www.linkedin.com/in/guang-cui/) and [Tyrone](https://www.linkedin.com/in/tyroned3/) - cofounders of Miyagi Labs.\n\n**TL;DR**\n\nWe use AI to transform YouTube content into complete, interactive courses—imagine a 3Blue1Brown video turned into an online course with quizzes and study material. We help people learn better with active practice and personalized feedback.\n\n[Demo video](https://www.youtube.com/watch?v=-8AfVemdtr0)\n\n**The Problem**\n\nLearning is flawed: online resources are everywhere, but 1-1 tutoring (which most people can’t afford) is still 2 standard deviations more effective than other methods. \n\nYouTube has top-notch content on everything for free, but how do you turn that passive watching into active learning?\n\n**Our Solution**\n\nContent creators, educators, and learners can instantly convert educational videos into structured, interactive courses that drive real learning.\n\nOur [platform](https://miyagilabs.ai/) automatically generates short-answer and multiple-choice questions, quizzes, and AI-driven feedback, turning passive watching into an active, engaging experience. Learners receive instant responses to their answers and can access an AI voice tutor for additional guidance.\n\nCreators and educators, who love sharing knowledge but don’t have time to create entire courses, can focus on what they do best while we handle the active learning and engagement.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXd_zOqR1Y2oqnOjlrJ5PjjmfRbYTBbY-iXt5YHOD7JgVvrvtYAMp-5ydGudljDOetpB5lxXpzZ9cLZR-7BFYogL-UY91D-SwsyByTND5ge_amUhxg1z36k3CzMHUdiEPwDI2ySMUQ?key=JK8gbU_5XOAH5k3bm1TXYGo-)\n\n**The Team**\n\nGuang and Tyrone met in college at MIT studying Computer Science and both are extremely passionate about learning and teaching.\n\nTyrone became a chess master in 4 years just from watching YouTube, has learned 4 languages, and has taught computer science around the world.\n\nGuang has taught algorithms (as a TA), math, physics, and music to hundreds of students. He has also become an elite American Ninja Warrior and coached students at multiple gyms. \n\nBecause of our experiences, we have unique insights on how to learn and teach effectively.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXcZGlsLXlxt9UIr3jpoxf_jhxX2KJnG75yF9hN2hzm3aiGL_y96LBErUiCn6V1aDxuGFbLA9w8P9Eq2zd2UrDZsN9Otld5mCOmjPw3qhUyQgtrREpnlsgpEaYeLyckr-k0WtvQs?key=JK8gbU_5XOAH5k3bm1TXYGo-)\n\n**Our Ask**\n\nIf you know…\n\n* Businesses that want to convert internal product videos or notes into online training courses for employees\n* Educators or content creators who want to turn their videos into interactive courses\n* Anyone interested in learning something new\n\n…we'd love to hear from you.\n\nEmail: [founders@miyagilabs.ai](mailto:founders@miyagilabs.ai)",
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        "id": 87825,
        "title": "FuseAI - Agentic Sales Platform",
        "tagline": "We’re killing legacy sales software with AI agents - RIP Salesforce & ZoomInfo. 🦖🦖",
        "body": "**TL;DR – [FuseAI](https://tryfuse.ai/) is an agentic sales platform that enables B2B companies to simplify their tech stacks and empowers 1 sales professional to complete the work of 5.** \\\n\\\n▶️ [**Try FuseAI today**](https://tryfuse.ai/) ◀️\n\nHere’s a [preview of what we’re building at FuseAI](https://youtu.be/nPVwCphuZAI)\n\n### **The Problem**\n\nNowadays, go-to-market teams struggle with manual tasks and fragmented data due to the 10+ disconnected sales tools they are operating on. Legacy software evolved this way primarily because incumbents focused on becoming hyper-specialized with point solutions to accommodate for system of record providers such as Salesforce & Hubspot and the inability to interact with data efficiently until AI had tangible commercial application in 2023. The advent of LLMs is enabling a paradigm shift in the industry with a small window, but massive opportunity, to disrupt incumbents with legacy infrastructure.\n\n### **Our Solution**\n\nOur product can be best described as an agentic sales platform – think Salesforce meets OpenAI operator with the ability to complete any workflow imaginable through simple natural language prompts. The first agents in production enable users to complete the following through simple natural language prompts:\n\n* Automatically create targeted lead lists\n* Conduct market research on prospects\n* Automatically create & manage opportunity pipeline\n* Engage with clients across LinkedIn and email\n\n### **Our Mission**\n\nOur mission is simple - make the best companies and sales professionals 5X better and build a platform that everyone actually enjoys using. We're building for user experience and productivity, so your best reps can close $5M in deals annually vs. the traditional $1M target for SaaS companies. We've started with outbound sales but will be expanding to other GTM verticals across inbound sales, revenue operations, account management, and marketing. As we expand our AI agents across GTM operations roles, our platform will drive significant savings for companies without the need to have huge support functions for roles such as: technical systems analysts, revenue operations professionals, and deal desk analysts, with most of their redundant activities automated. The total market opportunity is 1+ trillion for developing a new type of software interface embedded with vertical AI agents to both streamline existing workflows and drive savings from FTE reductions.\n\n### **How We Got Here**\n\nWe started [FuseAI](https://tryfuse.ai/) out of Saurav’s frustration at Deel - despite being one of the most successful companies of all time, they still struggled immensely with legacy sales software, creating inefficient manual workflows across the go-to-market organization. With the vast improvement in LLMs and agentic applications - Saurav and Imogen realized it was the perfect time to build a new operating system to disrupt legacy incumbents in the industry and took the plunge to start building the future of go-to-market at [FuseAI](https://tryfuse.ai/).\n\n### **Use FuseAI**\n\nYou can get started today by joining the [waitlist or booking a demo](https://tryfuse.ai/) with the team today. Sales professionals from around the world use [FuseAI](https://tryfuse.ai/) to automatically create lead lists, engage with clients, deanonymize website traffic, and manage their deal cycles.\n\n### **Asks**\n\n* **Try FuseAI** out and reach out to us with your feedback and questions. We love when people send us screen recordings, written feedback, and ideas. Email Saurav - [saurav@tryfuse.ai](mailto:saurav@tryfuse.ai)\n* **Contribute** – Help us build the future of AI agents in go-to-market! We have an active community of contributors from all over the world who recommend agents and collaborate on agents to build, feel free to reach out to [saurav@tryfuse.ai](mailto:saurav@tryfuse.ai) to learn more\n* **Follow us** – We put out a lot of content in a lot of places:\n  * Follow [FuseAI on LinkedIn](https://www.linkedin.com/company/tryfuseai/?viewAsMember=true)\n  * Follow FuseAI on [X](https://x.com/fuseai23129?s=21&t=U8uO3G_ueNJiXtFN1o0qFg)\n\n### **About Us**\n\nFuseAI is founded by [Saurav Bubber](https://www.linkedin.com/in/sauravbubber/), a seasoned operator, most recently supporting Deel's hyper-growth through $650M, and [Imogen Low](https://www.linkedin.com/in/imogen-low/), a machine learning engineer who joined SAP’s Innovation team at 17, and later co-founded [Nwo.ai](http://Nwo.ai) at 21 - a venture-backed AI startup acquired by Growth Protocol.\n\n![uploaded image](/media/?type=post&id=87825&key=user_uploads/89898/17ea887c-ab36-419c-afde-dae2325b0bed)\n\n",
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        "full_name": "Eva Herget",
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        "founder_bio": "Eva is the Co-Founder and CEO of Misprint.\n\nShe left her role as an Equity Analyst at Goldman Sachs to follow her lifelong passion for trading cards, reaching over $500k ARR within three months just by selling Pokemon cards. An alum of the University of Chicago, she studied Economics and East Asian Languages & Civilizations. Eva has published articles in PSA Pop Culture Magazine and TCGplayer Infinite, and also hosts a trading card-focused YouTube channel, Eva’s Binder.",
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        "id": 92866,
        "title": "Pokémon Content & Social Media Intern",
        "url": "https://www.ycombinator.com/companies/misprint/jobs/9GaKY2P-pokemon-content-social-media-intern",
        "location": "New York, NY, US / Remote (New York, NY, US)",
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        "id": 96319,
        "title": "Software Engineer ( Full Stack & Mobile / React Native )",
        "url": "https://www.ycombinator.com/companies/misprint/jobs/bJLJL6B-software-engineer-full-stack-mobile-react-native",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $180K",
        "equity_range": "0.20% - 0.60%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
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          "React",
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    "news": [],
    "launches": [
      {
        "id": 87975,
        "title": "Misprint - Robinhood, but make it Pokémon cards",
        "tagline": "Know Your True Value: Buy, Sell, and Research Collectibles 20x Faster",
        "body": "### **We Built Misprint: The First Transparent Marketplace for Collectibles**\n\n**TL;DR:** We’re [Eva](https://www.linkedin.com/in/eva-herget/) and [Jon](https://www.linkedin.com/in/jtjenkins18/), founders of [Misprint](https://www.misprint.com/) — the first **real-time bid/ask marketplace for trading cards** with **transparent pricing powered by machine learning.**\n\nThink of it like a **stock exchange for Pokemon cards**—finally, you can know your collectibles’ true value. Listing cards on our platform is 20x faster than competitors. Watch it happen:\n\n<https://youtu.be/Kq5-TWzFImA>\n\n### **How it Started**\n\n\\\nEva here! I just wanted to share how this crazy idea came to be.\n\n\\\nI've always loved trading cards—both as a collector and a player. When most people grew out of it in middle school, for some reason I never did. In college, I started making [YouTube videos](https://www.youtube.com/c/evasbinder) breaking down the financial side of Pokémon cards, from undervalued sets to spreadsheets showing the expected values of sealed products. Turns out, other people were into this too! I ended up writing for [TCGplayer](https://infinite.tcgplayer.com/author/Eva-s-Binder) and PSA’s Pop Culture Magazine while working at Goldman Sachs, but as my side hustle selling cards grew, I realized I was making more from Pokémon than my day job. So in July 2024, **I quit my high-paying job at Goldman to go all-in on selling shiny cardboard**, before Misprint was even an idea.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXfArFZA5gfAKqzCXiksQZntOGn7edSdz6UxKhKpkIEiIeIsZCadK774R1wvOgmjCXEE9zYZeVpuQ3RwklXt_BLisS-JmFfJ0bRDMLhKP4L3Tozf0z3lUCv1qcYJzZlHwY9r-WRA?key=1zrj1FJsKZGIBB6KR2xeQLPo)\n\n_Me getting a signed poster at the 2024 Pokemon World Championship! So cool!!_\\\n\\\nBy fall 2024, I was selling over **$40K/month** in cards with **$16-20K in profit** – but the process was painful. Sourcing inventory was inefficient, listing cards took forever, and pricing was a mess. I asked my best friend from Exeter, Jon, to help me build a tool to price cards faster. As we gathered millions of sales for 200K+ unique cards, we realized we weren’t just solving my problem – we were onto something bigger.\n\nThat’s when we decided to apply to YC (thanks to a push from my roommate, ty Prady!!). We got in, and this fun side project turned into our entire lives. Jon dropped out of his PhD, and Misprint was born – a real-time, transparent marketplace for trading cards. Now, we’re building the future of collectibles, starting with Pokemon.\\\n\\\nAnd now for the shill…\\\n\\\n**The Problem: Market Inefficiency**\n\nRight now, collectors rely on **scattered, inconsistent data** from eBay, auction houses, and forums to guess at card values. Marketplaces don’t provide real-time analytics, and pricing is often biased or outdated. This leads to **unclear pricing** and **inefficient auctions that sell below market value.**\n\n![uploaded image](/media/?type=post&id=87975&key=user_uploads/2304336/8c635927-b3ff-4ec4-9293-186d405f662a)\n\n### **How Misprint Fixes This**\n\n* **Transparent Pricing via ML** — We analyze **millions of data points** (auction results, grading data, past sales) to provide **real-time, data-backed card values.** No more guesswork.\n* **Two-Sided Exchange (Bid/Ask Marketplace)** — Buyers place **bids,** sellers list **asks,** and the platform **matches orders instantly.** This means **faster trades at fair prices** without the usual back-and-forth haggling.\n* **Fastest listing process** — Sellers can list 10+ cards with a single photo, over **20x faster** than competitors. (see demo above)\n\n![uploaded image](/media/?type=post&id=87975&key=user_uploads/2304336/e756f831-5d8b-47d8-a73f-d2a78ede5c09)\n\n### **Why We’re the Right Team**\n\n**Eva (CEO)** — **Left Goldman Sachs** to go all-in on trading cards, _before_ even considering applying to YC (or even really know what it was!) Hit **$500K ARR in 3 months** selling Pokémon cards. Runs the Pokemon-finance YouTube channel [Eva’s Binder.](https://www.youtube.com/c/evasbinder) Has written for PSA Pop Culture Magazine & TCGplayer Infinite. Absolutely addicted to shiny cardboard.\n\n\\\n**Jon (CTO)** — Mathematician turned machine learning expert. **Left his PhD** in ML to build cutting-edge pricing algorithms for collectibles. **Published researcher**, now leveraging deep expertise in modeling and optimization to redefine asset valuation in collectibles.\n\n![uploaded image](/media/?type=post&id=87975&key=user_uploads/2304336/429cebde-4bc5-4f46-b89b-e0319a7120f6)\n\n### **Our Ask**\n\n📢 **If you collect Pokémon, sports cards, or other collectibles—try out Misprint!** We’d love feedback from any collectors.\\\n📩 **If you know anyone in collectibles, fintech, or marketplaces, intro us!** Always looking to connect.\n\nFinally, here’s a bonus photo. If this doesn’t inspire confidence, we don’t know what will:\n\n![uploaded image](/media/?type=post&id=87975&key=user_uploads/2304336/ec5af821-69c1-4b42-ab86-a7467aca4a8c)\n\n# Reach out at:\n\n[eva@misprint.com](mailto:eva@misprint.com)\n\n[jon@misprint.com](mailto:jon@misprint.com)",
        "url": "https://www.ycombinator.com/launches/Msx-misprint-robinhood-but-make-it-pok-mon-cards",
        "votes": 56,
        "created_at": "2025-02-24T22:10:31.796Z"
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    "id": 30303,
    "name": "AfterQuery",
    "slug": "afterquery",
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b63e52a3ec831660a5917dbb85f52cfd61f714e9.png",
    "website": "https://afterquery.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "AfterQuery is an applied research lab curating data solutions for frontier foundation model development. Serving every frontier AI lab.",
    "one_liner": "Applied research lab curating data solutions for foundation model…",
    "team_size": 30,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1738219847,
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      "Big Data",
      "AI"
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    "batch": "Winter 2025",
    "status": "Active",
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    "regions": [
      "United States of America",
      "America / Canada"
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    "year_founded": 2025,
    "city": "San Francisco",
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    "primary_partner": {
      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
    },
    "founders": [
      {
        "user_id": 2382342,
        "full_name": "Spencer Mateega",
        "title": "Founder/CEO",
        "founder_bio": "Building AfterQuery. Previously interned in technology private equity at Silver Lake, technology investment banking at Morgan Stanley, and software engineering at Meta and Google.\n\nB.S. in Finance and Statistics at Wharton and a M.S. Computer Science at Penn.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/spencermateega",
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      },
      {
        "user_id": 503252,
        "full_name": "Carlos Georgescu",
        "title": "Founder/CTO",
        "founder_bio": "Building AfterQuery. Previously interned at Citadel Securities (2x), Meta & Google as a software engineer. Past acquired ed-tech founder. \n\nStudied for a B.S. in Computer Science from the University of British Columbia. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/carlossgg/",
        "x_url": "https://x.com/CarlosGeorgescu",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7e75fffea45bad544c5ba2ee3ea005b9731dda68.jpg"
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    "jobs": [
      {
        "id": 75196,
        "title": "Software Engineer Intern",
        "url": "https://www.ycombinator.com/companies/afterquery/jobs/6a7szXP-software-engineer-intern",
        "location": "San Francisco, CA, US / Remote (US)",
        "type": "Internship",
        "role": "Engineering",
        "role_type": "Frontend",
        "salary_range": "$7.5K - $10K / monthly",
        "equity_range": "",
        "experience": null,
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 82771,
        "title": "Software Engineer - Applied AI / Platform",
        "url": "https://www.ycombinator.com/companies/afterquery/jobs/7tsT0ks-software-engineer-applied-ai-platform",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$140K - $200K",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Node.js",
          "Python",
          "Next.js"
        ]
      },
      {
        "id": 87019,
        "title": "Software Engineer - Hiring Infra (LatAM)",
        "url": "https://www.ycombinator.com/companies/afterquery/jobs/PohDLWh-software-engineer-hiring-infra-latam",
        "location": "San Francisco, CA, US / Remote (BR; CL; MX; AR; CO; PE)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$7K - $10K / monthly",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 91403,
        "title": "Strategic Projects Lead",
        "url": "https://www.ycombinator.com/companies/afterquery/jobs/iTt13cJ-strategic-projects-lead",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$200K - $400K",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 91406,
        "title": "Technical Strategic Projects Intern",
        "url": "https://www.ycombinator.com/companies/afterquery/jobs/8NagVRQ-technical-strategic-projects-intern",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$90K",
        "equity_range": "",
        "experience": "",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 91408,
        "title": "Strategic Projects Associate",
        "url": "https://www.ycombinator.com/companies/afterquery/jobs/qwNKclV-strategic-projects-associate",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$200K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 91409,
        "title": "Strategic Projects Intern",
        "url": "https://www.ycombinator.com/companies/afterquery/jobs/Ep6eNax-strategic-projects-intern",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$90K - $90K",
        "equity_range": "",
        "experience": "",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 91415,
        "title": "Technical Strategic Projects Associate",
        "url": "https://www.ycombinator.com/companies/afterquery/jobs/ziJE7ZY-technical-strategic-projects-associate",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$200K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 91417,
        "title": "Marketing Lead",
        "url": "https://www.ycombinator.com/companies/afterquery/jobs/Ww01atn-marketing-lead",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$160K - $220K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
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      },
      {
        "id": 91418,
        "title": "Technical Strategic Projects Lead",
        "url": "https://www.ycombinator.com/companies/afterquery/jobs/t0uj8SF-technical-strategic-projects-lead",
        "location": "San Francisco",
        "type": "Full-time",
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        "role_type": null,
        "salary_range": "$200K - $400K",
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        "experience": "1+ years",
        "visa": "US citizen/visa only",
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      },
      {
        "id": 91613,
        "title": "Senior Software Engineer, Infrastructure & Platform",
        "url": "https://www.ycombinator.com/companies/afterquery/jobs/TU2SAvz-senior-software-engineer-infrastructure-platform",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$220K - $280K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
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    ],
    "news": [
      {
        "title": "AfterQuery Becomes YC’s Fastest Unicorn At $3.2 Billion",
        "url": "https://www.forbes.com/sites/annatong/2026/09/01/afterquery-becomes-ycs-fastest-unicorn-at-32-billion/",
        "date": "Sep 01, 2026"
      },
      {
        "title": "This 23 Year-Old’s New AI Data Company Has Already Hit A $100 Million Run Rate",
        "url": "https://www.forbes.com/sites/annatong/2026/04/09/this-23-year-olds-new-ai-data-company-has-already-hit-a-100-million-run-rate/",
        "date": "Apr 09, 2026"
      }
    ],
    "launches": [
      {
        "id": 87549,
        "title": "AfterQuery - High-quality AI starts with high-quality human data",
        "tagline": "Powering AI models with expert-level human data",
        "body": "## **TL;DR**\n\nAI models need high-quality training data to effectively automate complex professional tasks - we provide that data. If you are building an AI model or need fine-tuning data for your agent, we’d love to help. \n\n\\------------\n\n## **Why We’re Building AfterQuery**\n\nThere is a dearth of high-quality training data.\n\nCurrent AI models are trained to be smart but are not trained on the work of actual professionals in many fields. \n\nFor example, current models are largely unusable to professionals working in finance (private equity, hedge funds, investment banks, etc). See our [paper](https://arxiv.org/pdf/2501.18062), where LLMs fail 60% of realistic daily tasks – but with some fine-tuning on high-quality training data, significantly improve.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeJndLBLBOQJVpf7yPJNA2WFddpffkxqdE1rFqmEfxo3FRmcSCVWqHnsOR793XuN1iCUm-ibeWfFj-FV_3FaswWhXetsEhembFLjln5Lwc9LA0tJV6uNq7MPWyjdDq7FTZSRdmekQ?key=_udDbu5NRw5fwLzMYyqM9i52)\n\n_Chart showing LLM performance against FinanceQA_\n\nAnd the lack of high-quality training data is everywhere:\n\n* Domain-specific AI (legal, consulting, healthcare, etc.)\n* Multimodal data (audio, multilingual, etc.)\n* Foundational models looking to push the boundary on reasoning and grading\n\n## **Solution**\n\nWe are building a platform to onboard experts to work on custom datasets. Think working professionals at top firms and the smartest students in various subjects (PhDs). Then, whenever you have a request for a certain type of data, we will construct and lead a team to produce:\n\n* Post-training / fine-tuning data\n* Human-Led Reinforcement Learning (RLHF) data\n* Custom benchmarks\n\nYou will know the people making your dataset and their qualifications while we coordinate with you to ensure quality standards. We save you time and energy, so you can focus on the model and not the data.\n\n## **Example Datasets We Provide**\n\n_Foundational Model Advancing Coding Capabilities:_\n\n* New data structures and algorithms problems with test cases and step-by-step answer reasoning \n* Computer architecture and system design reasoning\n* Performance optimization code with benchmarks and reasoning\n\n_Enterprise SaaS Company Building Internal AI Developer Tool:_\n\n* Codebase-wide code snippets with corresponding refactoring suggestions and explanations \n* System and runtime errors paired with step-by-step debugging solutions \n* Database query optimization solutions and reasoning steps\n\n_Startup Building an AI Agent for Law:_\n\n* Answered legal questions with expert reasoning\n* Computer use data for common tasks on legal project management software\n* Contract redlines with expert corrections\n\n**If AI is one day to replace jobs entirely, it can’t just be good, it needs to be near perfect. This transformation will require an immense amount of high-quality training data.**\n\n## **Our Ask**\n\n* Are you **working on a foundational model** advancing multimodal applications, nuanced reasoning, or domain-specific expertise?\n* Are you **implementing AI in a specialized domain** where current models lack expertise (e.g., medicine, legal, finance, software, government, healthcare)?\n\nWe would love to meet you! \n\n## **Our Team**\n\nCarlos and Spencer first met in high school at a summer program at Google and then interned together at Meta. Danny and Spencer met in high school, where they built a startup. They then both got into Wharton, sold that startup, and became roommates.\n\n[Carlos](https://www.linkedin.com/in/carlossgg/) has built multiple software businesses on his own, exited an ed-tech startup, and has worked as a software engineer at Citadel Securities. He’s won the largest possible academic scholarship in all of Canada, competed in state and national sailing competitions, and has 8x his bankroll in poker.\n\n[Spencer](https://www.linkedin.com/in/spencermateega) wrote an award-winning research paper and interned at a private equity firm in high school, before deciding to intern at Meta (SWE), Google (SWE), Morgan Stanley (IB), and Silver Lake (PE) in the next 3 years. He was the sole summer analyst at Silver Lake globally and has programmed numerous apps in his spare time (and sold some of them). He trains for half marathons and lifts in his free time between completing a master’s in computer science concurrently with his Wharton undergraduate degree.\n\n[Danny](https://www.linkedin.com/in/danny1898/) competed and won international competitions in public speaking during high school while pursuing his interest in AI, winning an international Microsoft AI competition and conducting research at a machine learning neuroscience lab. He then learned how people build real estate, from grocery stores to billion-dollar luxury hotels, eventually working on the largest real estate IPO in history and the largest IPO in 2024. He also really likes movies and attended the world's largest film festival, catching premieres of films like Anora and The Substance.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXfkN7pvcMyTHjf5fZe7qJrF9xiyAvI0yAJ0PHNDdxWcOcU0gw5cDFUzOq20x68YJeb40Pk8dPXsNGsPVSnhYNZu3AHEAoZHcSTQ3nYyLYvMNcthHoAkoERsmzARwkGFS-fRnslLNw?key=_udDbu5NRw5fwLzMYyqM9i52)\n\n",
        "url": "https://www.ycombinator.com/launches/Mm5-afterquery-high-quality-ai-starts-with-high-quality-human-data",
        "votes": 114,
        "created_at": "2025-02-10T21:58:10.460Z"
      }
    ]
  },
  {
    "id": 30305,
    "name": "Forge Automation",
    "slug": "forge-automation",
    "former_names": [],
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    "website": "https://www.forgeautomation.ca",
    "all_locations": "Toronto, ON, Canada",
    "long_description": "Forge Automation runs software enabled factories that deliver custom metal parts in four days or less. Instead of mechanical engineers having to wait two to three weeks for their low volume CNC parts, they can simply upload a CAD model on our platform and we will ship it out in four days or less. We aim to give mechanical engineers the \"Amazon experience\" for custom metal parts.",
    "one_liner": "Software Enabled CNC Parts Supplier",
    "team_size": 21,
    "industry": "Industrials",
    "subindustry": "Industrials -> Manufacturing and Robotics",
    "launched_at": 1736647566,
    "tags": [
      "Hard Tech",
      "Hardware",
      "Robotics",
      "Manufacturing",
      "Industrial"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2025",
    "status": "Active",
    "industries": [
      "Industrials",
      "Manufacturing and Robotics"
    ],
    "regions": [
      "Canada",
      "America / Canada"
    ],
    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/forge-automation",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/forge-automation.json",
    "year_founded": 2022,
    "city": "Toronto",
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        "tagline": "Get the cybersecurity requirements you need to sell software to government.",
        "body": "We’re George and Sam—co-founders of Archon, and former government staffers. \n\n**TL;DR:** Our free-to-integrate SDK gives you all the cybersecurity requirements you need to sell to government faster and cheaper. This saves companies $1M (2/3rds of the cost) and reduces the timeline from 16 to 6 months. \n\n**Problem: The government software market is locked behind an opaque, million-dollar compliance process (called FedRAMP) that favors big incumbents with lots of time.**\n\n**Solution:** Our SDK provides compliant-out-of-the-box implementations of all the compliance features you need to sell to government – authentication, logging, access control, etc. You can integrate it into your existing codebase in a week, and we handle all of the obscure compliance restrictions so you don’t have to. \n\n![uploaded image](/media/?type=post&id=87386&key=user_uploads/2110890/2caad249-0936-4910-9a4e-12ad4425e4f5)\n\nIf you want to sell your software to government agencies, start exploring our SDK [here.](https://archon.inc/docs)\n\n\\\n**We condense the FedRAMP process into 4 steps.**\n\n1. Integrate our free SDK (what we’re launching today)\n2. Self-serve onboarding; then we prepare your 700-page security package\n3. Get an audit\n4. Wait for the Federal authorization board to approve your audit\n\nA typical Series A startup spends $1.5M on consultants and 1.5 years on the first 2 steps. Archon’s SDK cuts the integration timeline down to 1 week. We also know many startups that never sold their software to the government because the barrier was just too high. **Yet, the government’s IT spending accounts for 20% of the entire U.S. software market.** It’s our mission to eliminate these compliance hurdles and bring much-needed innovation from small tech to the federal sector. \n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXcz8xKiHOkcrclWYcEfAY2gc_hB1s4NlkbyEpQMLR9RNfngWF5EKYxG6N7b67Ix_5A7xxplmqU3xUvP65S-RAl4BSWsBuHJ0sy1duVwFAvZXXZ7xTPG9XPF4LZufVFMc5eQ-a-qrQ?key=gLGrgddQZLJJWptIH4zDOWpy)\n\n**Context:**\n\nWe came to YC planning to build AI agents that would speed up government workflows. But, we realized that we’d be spending more of our time on government compliance, than on our actual product. Currently, companies seeking FedRAMP certification face two bad options: spend millions of dollars on consultants, or use loophole solutions that lock them into unfavorable terms. We're building the solution we wish existed - a straightforward path that helps software companies build lasting government partnerships.\n\n**Team:**\n\n* **George Parks:** Advised diplomats on emerging technologies at State.\n* **Sam Jung:** Previously at State, advised the U.S. AI Safety Institute.\n\n# **OUR ASK:**\n\n* **Anyone looking to sell software to the government, or get FedRAMP**, we’d be grateful for an introduction. Email us at [founders@archon.inc](mailto:founders@archon.inc)\n* **If you want to sell to government, what technology do you use?** Our SDK is only available for NodeJS to start. Let us know what tech stack you use with [this form.](https://forms.office.com/r/m5vPfmqVP3)",
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        "body": "Hey everyone, we are Will and Stef from Reditus Space!\\\n\\\n**The Problem**\n\nAccess and Return from space is almost entirely dependent on the International Space Station (ISS), a costly, slow, and overly bureaucratic process. Zero-G manufacturing is currently at a turning point, transitioning from research to producing materials for use on Earth. The current space infrastructure cannot provide consistent access & return for zero-g manufacturing, and that is where we come in.\n\n**Why produce anything in space at all?**\n\nThe absence of gravity in space means that there is no sedimentation or convection. In turn, that means during the formation of materials, you are able to make them more homogenous on an atomic level. This has huge implications for pharmaceuticals, semiconductors, and biologics. You are able to create materials in space that cannot be produced on Earth.\\\n\\\nIn short, the material production has to be so precise that gravity is too much of a disturbing force and needs to be removed.\n\n\\\n**What are we building right now?**\\\nRight now we are working on our first full-scale re-entry mission, the ENOS mission, which will be launching on a Falcon 9 in a launch window starting in March '26. We will be hosting a pharmaceutical R&D payload on-orbit and fully re-enter and recover the satellite.\\\n\\\nCheck out the following video for more info about ENOS!\\\n<https://youtu.be/XRhSN3fWv78>\n\n**The Team**\n\nWill and I met at Georgia Tech while we were both pursuing our PhD’s in Aerospace Engineering. We have worked on several satellite missions and re-entry and recovery with NASA & the DoD.\n\n![uploaded image](/media/?type=post&id=88064&key=user_uploads/2231256/ea6b8ac3-69ce-446b-90f8-9ceb9661a42e)\n\n**The Ask**\n\nWe are actively looking to expand our customer base. If you have any connections within the pharmaceutical or the semiconductor industry, especially the very large companies, we would love to talk to you! Even if you think that your company doesn’t do anything in space, very often they do.\n\n![uploaded image](/media/?type=post&id=88064&key=user_uploads/2231256/7966f07a-9691-448a-8ba7-e90e7537d2f7)\n\n",
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        "type": "Full-time",
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        "title": "Wildcard: AEO, GEO, and AI Search for Ecommerce Brands",
        "tagline": "Wildcard is the command center for agentic commerce. We help ecommerce and retail brands become the answer AI chooses.",
        "body": "**Traction:** 20+ Brands live. On average brands see a 5X increase in AI search revenue after 30 days.\n\n**TL;DR:** [Wildcard ](https://wild-card.ai/)helps brands and retailers rank first across ChatGPT, Claude, Gemini, Amazon Rufus/Alexa, and Walmart Sparky. We audit and action on how your brand, products, and collections show up across every AI search and shopping platform. Wildcard creates the roadmap, and our AI agents execute on it. We create the content AI looks for, including enriching the product catalog, new blogs, collection pages, outreach to publications, and even Reddit and YouTube content to close the gap. Operators can review, approve, and measure how actions tie back to revenue.\n\n**Launch Video:** <https://youtu.be/dkdV-s-JztE>\n\n**The Problem:** Shoppers are googling less and less. They want an experience where they can ask questions, like talking to an in-store rep. They're prompting about what to buy, the model names a few, people purchase those, and you're left relying on Meta's rising ad spend to acquire new customers or retain existing ones. Producing content for millions of SKUs is beyond human scale, and what we found is that millions in revenue was lost because of it. Below is what we learned after 7 months talking with brand owners.\n\n**What We Learned:**\n\n1. It's not about training the model. Everyone gets this wrong. When someone asks, the model runs a live search, reads what it finds, and picks. What decides it is boring and specific: a catalog structured so the model can trust it, and the right content on the sources it reads.\n2. Existing tools were built for SaaS. They hand you a score and stop. That playbook breaks the moment you have 5,000 SKUs and variants. A brand and retailers unit of AEO is the catalog, not a homepage.\n\n**The Solution:** Our solution is simple. First, we run a full audit of how you show up across AI search. Second, we build your roadmap. Lastly, we optimize your product catalog and create the content that gets you recommended. After 30 days, we tend to see a 5x increase in revenue.\n\n**Our Ask:** Try a free trial of our tool [here](https://wild-card.ai/). And if you know any brands, retailers, or agencies, an intro would be great!: [kaushik@wild-card.ai](mailto:kaushik@wild-card.ai)  \n\n**About Me:** Kaushik Mahorker (Founder &amp; CEO). Previously, I was an Engineering Manager at Scale AI, where I led the GenAI Allocation team and built the ecommerce enrichment engine that structured 2.4M attributes across 400K SKUs, helping close $15M+ in retail and marketplace contracts.\n\n![uploaded image](/media/?type=post&id=106605&key=user_uploads/2074409/ca4bbe7c-d2fd-428f-8c09-f0fc965f7c9d)\n\n",
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        "full_name": "Jay Li",
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        "founder_bio": "Working on humanoid. Stanford alumni",
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        "full_name": "Jack Xu",
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        "founder_bio": "UWaterloo Alumni, Ex-Tesla Engineer, Ex-Trexo [YC 19]",
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        "title": "Robotics Technician (Assembly & Testing)",
        "url": "https://www.ycombinator.com/companies/proception-inc/jobs/YQt8sOz-robotics-technician-assembly-testing",
        "location": "Palo Alto, CA, US",
        "type": "Contract",
        "role": "Operations",
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        "title": "Robot hand company settles Tesla trade secret suit and announces $11M raise | TechCrunch",
        "url": "https://techcrunch.com/2026/06/29/robot-hand-company-settles-tesla-trade-secret-suit-and-announces-11m-raise/",
        "date": "Jun 29, 2026"
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      {
        "id": 104230,
        "title": "Proception - The dexterous robot hand we wish existed",
        "tagline": "The hand that enables robots. The glove that teaches them.",
        "body": "# **Shipping ProHand: The Human-Like Robotic Hand Built for Dexterous Manipulation**\n\nMost robots still cannot use their hands.\n\nThat sounds strange, because robots have gotten dramatically better over the past decade. They can navigate warehouses, run, jump, perceive their surroundings, and reason over visual scenes. But when it comes to actually touching the world, most robots still rely on simple grippers.\n\n![uploaded image](/media/?type=post&id=104230&key=user_uploads/2602106/4c624b0d-144a-4af0-8144-a88769012c9d)\n\nThat works if the object is rigid, predictable, and placed exactly where the robot expects it to be. It breaks down quickly when the task requires the kind of manipulation humans do every day: adjusting grip, feeling contact, using multiple fingers, handling soft objects, or recovering when something slips.\n\nWe started Proception because we kept running into the same bottleneck: humanoid robots will not become truly useful until they can manipulate the world with something much closer to a human hand.\n\nToday we are introducing ProHand 1.0, a high-dexterity robotic hand built for researchers and robotics companies working on contact-rich manipulation.\\\n\\\n<https://youtu.be/S61xWpz7_qM>\n\n## Why We Built a Human-Like Hand\n\nThe human hand is not just a gripper. It has more than twenty degrees of freedom, dense tactile feedback, tendon-driven actuation, and an incredible ability to adapt through contact.\n\nThat is what makes simple tasks deceptively hard for robots. Tying shoelaces, opening packaging, handling tools, plugging in cables, folding clothes, or repairing electronics are not just vision problems. They are contact problems.\n\nTo build ProHand, we worked closely with hand surgeons and designed the system around the structure of the human hand.\n\n![uploaded image](/media/?type=post&id=104230&key=user_uploads/2602106/7dacec7a-3a65-412f-8513-cef8caf8b27f)\n\nProHand includes:\n\n* **Twenty-two degrees of freedom**, with multiple joints per finger, enabling a wide range of human-like motions.\n* **Tendon-driven actuation**, where motors pull cables to move the fingers while keeping the hand lightweight and compact.\n* **A compact and robust mechanical design**, built to be impact tolerant, serviceable, and practical for real robotics research.\n* **Integrated skin-like sensors**, which detect contact and support grip control during manipulation.\n\nThe goal was not to build a hand that looks human for aesthetics. The goal was to build hardware that can interact with the world in the same manipulation regime as human hands.\n\n## The Bigger Problem Is Data\n\nDexterous manipulation is not only a hardware problem. It is also a data problem.\n\nAI has made enormous progress in vision and language because those fields had access to large-scale datasets. Robotics does not have the same advantage. Manipulation data is expensive, slow, and usually collected in labs through teleoperation.\n\nTeleoperation is useful, and ProHand supports standard teleoperation workflows out of the box. But it has two big limitations.\n\nFirst, it does not scale easily. Data collection is limited by how many robots you have and how much time operators can spend controlling them.\n\nSecond, it loses important human interaction signals. When someone teleoperates a robot, they are not directly touching the object. The robot sees motion commands, but it often misses the subtle pressure, contact, and adjustment strategies humans naturally use when manipulating objects.\n\nBecause ProHand is designed around human hand kinematics and skin-like sensing, we can also collect data directly from human hands.\n\nThat is why we built **ProGlove**.\n\n![uploaded image](/media/?type=post&id=104230&key=user_uploads/2602106/1ee06ef7-e3b4-422a-b38c-2987494df668)\n\nProGlove turns the same sensor skin used on ProHand into a wearable data collection system. A person can wear the glove, interact with real objects, and capture human manipulation data without needing a robot in the loop. Combined with a headset for visual context, researchers can collect real human hand interaction data and transfer those movements and skills to ProHand.\n\nOur bet is simple: the fastest path to dexterous robots is to build hardware close enough to the human hand that we can learn from human hands directly.\n\n## Shipping This Week\n\nProception has raised **$11 million in seed funding** led by **First Round Capital**, with participation from **Y Combinator** and **BoxGroup**. This allows us to expand the team, scale production, and keep building the hardware and data infrastructure needed for dexterous manipulation.\n\nOur team has designed consumer electronics at Apple that reached millions of users, built robotic systems at Tesla and early-stage startups, and spent years working on the messy details of real hardware: actuation, sensing, reliability, calibration, control, and data collection.\n\nWe are building ProHand in Mountain View, and the first batch of units is shipping this week to researchers and robotics companies.\n\nIf you are building dexterous manipulation systems, humanoid robots, teleoperation workflows, or robot learning pipelines, you can order ProHand on [our website](https://www.proception.ai/product/pro-hand/gen1).\n\nIf you want to help build the hands that make humanoid robots useful, we are hiring <https://www.proception.ai/careers>.\n\n## ",
        "url": "https://www.ycombinator.com/launches/R78-proception-the-dexterous-robot-hand-we-wish-existed",
        "votes": 7,
        "created_at": "2026-06-29T15:46:59.992Z"
      },
      {
        "id": 88112,
        "title": "🦾 Proception.ai - World's most dexterous humanoid",
        "tagline": "We make humanoids dexterous enough to thread a needle",
        "body": "Our mission is to revolutionize humanoid robotics by developing robots capable of performing complex tasks, transforming how we interact with technology in industries like healthcare, manufacturing, and beyond.\n\n### **What We Do**\n\nAt Proception, we are developing advanced humanoid robotic hands and robots, starting with a high-precision hand for research. We’ve successfully built our first functional prototype in just 4 months—an incredible milestone that sets us on the path to shipping to researchers soon. Our unique approach to **data collection**—where we collect data through human interaction rather than teleoperating robots—has significantly increased the efficiency of our data gathering. This enables us to train more effective AI models for manipulation and task execution.\n\n<https://www.youtube.com/watch?v=cEo4WlCanMc>\n\n### **The Journey Ahead**\n\nOur robotic hands are just the beginning. In the next few years, we’ll expand from hands to fully autonomous humanoid robots capable of performing a wide range of tasks across industries. From healthcare and elder care to manufacturing and logistics, Proception’s robots will drive automation and unlock new efficiencies.\n\n### **Why We’re Different**\n\n![uploaded image](/media/?type=post&id=88112&key=user_uploads/2177365/6b25ce59-4945-4d41-8c32-2bd1379203d9)\n\n1. **Efficient Data Collection**: Unlike traditional teleoperation methods, we gather data through human-driven interactions, dramatically improving the efficiency of data collection and speeding up the training of AI models.\n2. **Execution**: In just 4 months since founding Proception, we’ve built a functional prototype of our humanoid hand, and we’re now preparing to ship it to research institutions in the near future.\n3. **Scalability**: Our robot is highly versatile and adaptable across a wide range of tasks, with a clear roadmap to scale from research applications to both industrial and household markets.\n\n![uploaded image](/media/?type=post&id=88112&key=user_uploads/2177365/c4f61f1e-d25c-4da2-b887-f72dd29bda8f)\n\n### **What’s Next**\n\nIn the coming 9 months, we will continue refining our robotic hand and prepare for the first shipments to research customers. We’ll also focus on further developing our AI software and preparing for the next phase: scaling to humanoid robots capable of performing real-world tasks. By years 2–3, we plan to deploy humanoid robots into industries that can benefit from automation and complex task execution.\n\n### **Backstory**\n\nMy journey into humanoid robotics began during my two years at Tesla, where I worked on the Tesla Optimus project. I developed a deep emotional connection to the potential of humanoid robots, which inspired me to pursue a path where I could bring that vision to life. Before Tesla, I worked at two startups, both of which successfully IPO’d. Those experiences taught me that the most challenging problems, especially in robotics, can only be solved through the agility and innovation of startups. That’s why I founded Proception—to take on these hard problems and push the boundaries of what’s possible with humanoid robots.\n\n### **Join Us on This Journey**\n\nJoin us in shaping the future of humanoid robotics. If you’re interested in learning more about our progress or exploring ways we can work together, let’s connect! Reach us at [**contact@proception.ai**](mailto:contact@proception.ai) or sign up at [proception.ai](https://proception.ai)\n\nTogether, we’re building the future—one robot at a time.",
        "url": "https://www.ycombinator.com/launches/MvA-proception-ai-world-s-most-dexterous-humanoid",
        "votes": 27,
        "created_at": "2025-02-27T18:50:09.198Z"
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    "id": 30321,
    "name": "Woz",
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    "website": "https://www.wozcode.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "WOZCODE is the highest performing, lowest cost AI coding agent. Available via Claude Code Plugin. \r\n\r\nThe WOZCODE plugin outperforms Claude Code alone on all key metrics:\r\n\r\nCost: 25-55% cheaper\r\nSpeed: 5-10x faster on database tasks, 30-40% faster on most others\r\nPerformance: beats Claude code on Terminal Bench 2.0 (68% vs 58%)\r\n\r\nInstall with one command. Access directly via Claude Code\r\n\r\nYour tools, your workflows, but Better, Faster, Cheaper.\r\n",
    "one_liner": "Claude Code plugin that reduces token consumption and cost by 50%",
    "team_size": 8,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1737406523,
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    "isHiring": true,
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    "batch": "Winter 2025",
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    "regions": [
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    "stage": "Early",
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    "question_answers": [
      {
        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "Ben and Brad have been friends for over 13 years, first meeting as engineering students at MIT."
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    "url": "https://www.ycombinator.com/companies/woz",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/woz.json",
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    "city": "San Francisco",
    "country": "US",
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        "user_id": 1831330,
        "full_name": "Ben Collins",
        "title": "Founder/CEO",
        "founder_bio": "Cofounder and CEO at Woz. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/bentcollins/",
        "x_url": "https://x.com/BenjaminT007",
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        "user_id": 200594,
        "full_name": "Brad Eckert",
        "title": "Founder/CTO",
        "founder_bio": "Founder/CTO of Woz. Prev Founder & leader of >30 person engineering team at Cairns Health (YC S17, formerly Totemic). Built deep learning radars in consumer electronics for the home environment and an LLM enabled cure for chronic insomnia. MIT EECS, AI Masters dropout, co-author on 25+ patents.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/bradleymeckert/",
        "x_url": "https://x.com/ChefEckert",
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        "id": 74411,
        "title": "Senior Software Engineer",
        "url": "https://www.ycombinator.com/companies/woz/jobs/E7Uj7bi-senior-software-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $200K",
        "equity_range": "0.10% - 0.30%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
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          "Node.js",
          "PostgreSQL",
          "React",
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          "Software Security"
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      },
      {
        "id": 84657,
        "title": "Founder in Residence at Woz (San Francisco)",
        "url": "https://www.ycombinator.com/companies/woz/jobs/Nsh4F78-founder-in-residence-at-woz-san-francisco",
        "location": "San Francisco, CA, US",
        "type": "Contract",
        "role": "Engineering",
        "role_type": "iOS",
        "salary_range": "$80K - $100K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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        "id": 85900,
        "title": "Founding Woz Experts (freelance)",
        "url": "https://www.ycombinator.com/companies/woz/jobs/jn2oBHa-founding-woz-experts-freelance",
        "location": "Remote (US)",
        "type": "Contract",
        "role": "Engineering",
        "role_type": "iOS",
        "salary_range": "$50 - $150 / hourly",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
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          "TypeScript"
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      },
      {
        "id": 89117,
        "title": "Content Wizard",
        "url": "https://www.ycombinator.com/companies/woz/jobs/HgalPvV-content-wizard",
        "location": "San Francisco, CA, US / Remote (US)",
        "type": "Contract",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$50 - $100 / hourly",
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        "skills": [
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    "launches": [
      {
        "id": 99856,
        "title": "WOZCODE - Cut your Claude costs by 50%",
        "tagline": "A Claude Code plugin that doubles your AI output per dollar",
        "body": "# **Double your AI coding output per dollar spent with WOZCODE**\n\n[WOZCODE](https://www.wozcode.com/) is a plugin that augments Claude Code, making it faster, cheaper and higher performing. It installs in two commands, uses your existing Claude subscription, and fits directly into your current tools and workflows (CLI, Claude Desktop App, VS Code, Conductor, etc.)\n\n<https://youtu.be/ISDH4qsLbrM?si=Pm1g7xXYohUX_UVH>\n\n**Problem:**\n\nLast month, our Claude Code spend crossed $100k.\n\nThe scary part wasn’t the total. It was how much Claude wasted by being inefficient. Tool call after tool call that bloated context and burned unnecessary tokens. Claude Code is incredible, but too often it was wasting our tokens and money. As a startup we couldn’t continue burning funds in this fashion. \n\nSo we built a fix.\n\n**Solution:**\n\n[WOZCODE](https://www.wozcode.com/) is a plugin that optimizes how Claude Code works under the hood.\n\nCompared to Claude Code alone, WOZCODE delivers:\n\n* **25–55% cost savings**\n* **30–40% faster coding tasks**\n* **Higher benchmark performance (Terminal Bench: 70% vs 58%)**\n\nFor teams using Claude Code heavily, this can mean:\n\n* 50% Lower API spend\n* 2x more AI coding throughput\n* 2x more output before hitting limits \n\n\\*checkout[ wozcode.com](http://wozcode.com) for side-by-sides on real world coding tasks\n\n**How it works**\n\nInstead of relying solely on the default tools inside Claude Code, WOZCODE uses a set of custom tools designed for efficiency and context optimization.\n\nFor example, in vanilla Claude Code, a simple \"find and edit 3 files\" takes 9+ calls (3× Glob/Grep + 3× Read + 3× Edit) — and call #9 reprocesses all prior output as input tokens.\\\n\\\nWOZCODE collapses that to 2 calls (1× Search + 1× batch Edit). The context stays small, so every subsequent call in the session is cheaper. Over a 30-prompt session, this compounding effect drives significant cost savings.\n\n**See what you could be saving:**\n\nRun the below common in your terminal. It scans your existing Claude Code history and shows you exactly what you could have saved over the last 30 days\n\n            _curl -fsSL [https://wozcode.com/savings-check.js](https://wozcode.com/savings-check.js) | node -_\n\n**Get started for free:**\n\nSign up at [ wozcode.com](http://wozcode.com)\n\nWOZCODE installs in two commands, uses your existing Claude subscription, and fits directly into your current tools and workflows (CLI, Claude Desktop App, VS Code, Conductor, etc.)\n\n**Help us help you:**\n\nIf you’re hitting Claude limits or seeing your spend rapidly accelerate, we’d love to hear from you. The sooner we learn about your use case the sooner we can optimize for it and help you save.\n\nReach us at [founders@withwoz.com](mailto:founders@withwoz.com)\n\nThank you!\n\n\\-Ben & Brad",
        "url": "https://www.ycombinator.com/launches/Pya-wozcode-cut-your-claude-costs-by-50",
        "votes": 9,
        "created_at": "2026-04-17T15:44:51.341Z"
      },
      {
        "id": 87776,
        "title": "Woz - Your AI Technical Cofounder",
        "tagline": "Launch a software business from scratch, no cofounder required",
        "body": "Hey everyone - we’re [Brad Eckert](https://www.linkedin.com/in/chefeckert/) and [Ben Collins](https://www.linkedin.com/in/bentcollins/), cofounders of Woz. 👋\n\nWoz is an AI platform that empowers non-technical entrepreneurs to build and scale real software businesses–no technical cofounder or engineering team required. To start, we’re helping entrepreneurs build high quality mobile apps and launch them directly to the app store.\n\n<https://youtu.be/DFZ5NCKrV58?feature=shared>\n\n### **Problem:**\n\nFor most people, finding a technical cofounder is a frustrating and often insurmountable challenge. AI tools for generating prototypes and toy apps only exacerbate the struggle, leaving non-technical users stranded with no way to get from prototype to customer-ready product. \n\n### **Solution:**\n\nWith a proprietary system of AI agents, **Woz enables you to go from idea to production-ready product, eliminating the need to find a technical cofounder or hire developers.** Simply explain your business idea as you would to a human developer, and Woz handles the rest - product, payments, security, infrastructure, scalability, and more. Once you're up and running, Woz provides the tools you need to reach customers, grow sales, and scale your business, all in one place. Think of Woz as the command center for your business. \n\n### **What Woz is NOT:**\n\nWoz is **NOT** another no-code tool for generating prototypes, demos, or “toy apps” (e.g. surveys, to do lists, landing pages, etc). Maybe you’ve tried tools like Bubble, Lovable, or Bolt–these tools are fun and easy to use, but they're not engineered for business building. At Woz, we take the opposite approach–starting from battle-tested backend infrastructure and then customizing it to your business. That way, everything built on Woz is ready for customers on day one.\n\n### **Our Team:**\n\nWe met 13 years ago as roommates at MIT and have been building companies pushing the limits of AI/ML ever since. Brad previously cofounded Cairns Health (YC S17, formerly Totemic) where he led an engineering team of 30+ and built an LLM enabled device to cure chronic insomnia. We’re joined by a world class team of ML scientists and production engineers who’ve worked together for the last 10 years, scaling products to millions of users. Woz is now a fulltime team of six, and growing. If you’re interested in joining us as we remove barriers to business building, please reach out.  \n\n### **Itching to launch a mobile app?**\n\n👉 Apply for our Beta at [www.withwoz.com](https://www.withwoz.com) or contact us directly at [founders@withwoz.com](mailto:founders@withwoz.com)\n\n**We can’t wait to see what you build!** 🚀 🚀 🚀",
        "url": "https://www.ycombinator.com/launches/Mpk-woz-your-ai-technical-cofounder",
        "votes": 40,
        "created_at": "2025-02-18T15:52:03.555Z"
      }
    ]
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    "id": 30322,
    "name": "Spott",
    "slug": "spott",
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    "website": "https://spott.io",
    "all_locations": "Leuven, Flanders, Belgium",
    "long_description": "Spott is the first AI-native ATS/CRM for recruiting & staffing firms. We built Spott because existing recruitment platforms require extensive manual work, are clunky to use, rely on fragmented add-ons, and are not designed for AI adoption.\r\n\r\nSpott combines everything recruiting firms need, from a full ATS & CRM to AI agents across the entire workflow, into one AI-native solution. It enables recruiters to focus on what matters most and close more placements.",
    "one_liner": "AI-native ATS/CRM for recruiting firms",
    "team_size": 50,
    "industry": "B2B",
    "subindustry": "B2B -> Recruiting and Talent",
    "launched_at": 1737184010,
    "tags": [
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      "B2B",
      "HR Tech",
      "Enterprise Software",
      "AI"
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2025",
    "status": "Active",
    "industries": [
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    "regions": [
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      "Europe"
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    "stage": "Growth",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/spott",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/spott.json",
    "year_founded": 2024,
    "city": "Leuven",
    "country": "BE",
    "linkedin_url": "https://www.linkedin.com/company/spottai",
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    "founders": [
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        "user_id": 2021689,
        "full_name": "Lander Degreve",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder & CEO at Spott. Previously worked at Bain building an AI job match tool and built a GenAI consulting-case interviewer as a side project. Background in Financial Statistics with internship in IB at JPMorgan and Master's degree at Bocconi.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/lander-degr%C3%A8ve/",
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      },
      {
        "user_id": 2229948,
        "full_name": "Manu Vanderveeren",
        "title": "Founder/COO",
        "founder_bio": "Co-Founder & COO at Spott. Previously worked at McKinsey on Strategy, Tech DD and HR projects. Background in Finance with internships in IB & PE at Morgan Stanley and CVC. Master's degree in Financial Analysis at LBS",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/manuvanderveeren/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b653a50317da1d95d95fdb820ed02c07764a2651.jpg"
      },
      {
        "user_id": 943846,
        "full_name": "Samuel Smeys",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder & CTO at Spott. Previously worked at BCG, building Data & ML pipelines for Recruitment Agencies in the UK, USA, EU with a wide range of industry, experience & staffing type specializations. Background in Mathematical Statistics, Machine Learning & AI. Backend, DevOps & Infra enthusiast. Master's degree in Statistics at LSE.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/samuelsmeys/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/966e397c46b42f03d2d4ab5edad7d8c25df0da2d.jpg"
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    "jobs": [
      {
        "id": 111818,
        "title": "BDR",
        "url": "https://www.ycombinator.com/companies/spott/jobs/HGqPlMG-bdr",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$160K - $220K",
        "equity_range": "",
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        "visa": "US citizen/visa only",
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      {
        "id": 111819,
        "title": "Customer Success Manager",
        "url": "https://www.ycombinator.com/companies/spott/jobs/m0vHaIl-customer-success-manager",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Support",
        "role_type": null,
        "salary_range": "$140K - $200K",
        "equity_range": "",
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        "visa": "US citizen/visa only",
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    "news": [],
    "launches": [
      {
        "id": 99581,
        "title": "Spott: The AI workspace for agency recruiters",
        "tagline": "Outp(l)ace everyone",
        "body": "**TL;DR** \\\nSpott is the AI-native ATS/CRM for recruiting & staffing agencies. We are the modern alternative to Bullhorn and Loxo. We offer an all-in-one, AI-native system that truly understands your data and helps you act on it. This enables you to make more placements, faster.\n\nHundreds of recruitment agencies worldwide, from executive search firms to temp agencies of all sizes, already made the switch.\n\n<https://youtu.be/GdaSZZq40fw>\n\n**📉** **Problem**\\\nRecruiting is a $1T+ industry, yet the most widely used recruitment platforms were built 20 years ago. They were never built for AI and have shown a clear lack of innovation, which has led to a growing reliance on add-on functionality. Most of today’s \"AI features\" are just layers on top of outdated systems that can’t properly understand, update, or act on data. This is despite the enormous potential AI has in recruitment.\\\n\\\n**📈 Solution**\\\nWe built Spott from scratch in the AI era. It captures all your data, understands the meaning behind it, and can act on it. That is how you can find the candidate who mentioned six months ago that they were open to relocating. This helps recruitment agencies make more placements, faster.\\\n\\\n**How it works**\\\\\n\n* **AI Matching.** Contextual, not keyword-based. Matches across CVs, notes, Socials, call transcripts, and interviews. Shows _why_ each candidate was matched.\n* **Deep Customizability.** Custom attributes, AI-prompted columns, drag-and-drop views, kanban boards.\n* **AI Note-Taker.** Transcribes calls, creates smart summaries, auto-updates candidate profiles. No manual data entry.\n* **Unified Inbox.** Email, Socials, WhatsApp, calendar, VOIP. Two-way sync. Every conversation auto-attached to the right record.\n* **Candidate Presentations.** Client-ready presentations in your own Word/PPT template plus CV reformatting and a client portal.\n* **Multi-channel sequences, Analytics, Automations, Data enrichment…** All included. No add-ons required.\n\n![uploaded image](/media/?type=post&id=99581&key=user_uploads/2229948/d5bf76a4-6589-4a1f-9d97-9dafe14a3329)\n\nBook a demo at [Spott.io](http://Spott.io)",
        "url": "https://www.ycombinator.com/launches/Pu9-spott-the-ai-workspace-for-agency-recruiters",
        "votes": 13,
        "created_at": "2026-04-08T21:02:09.556Z"
      },
      {
        "id": 87367,
        "title": "Spott: AI agents for recruiting firms",
        "tagline": "Supporting recruiters to focus on human interactions and increase placements",
        "body": "**TL;DR** \\\nSpott is building AI agents for recruiting firms to replace legacy recruiting platforms like Bullhorn. Today, headhunters use our first agent to generate detailed candidate presentation reports in their template within minutes, using data they already own.\n\n[Spott video](https://www.youtube.com/watch?v=7w3Ae-KDHEU)\n\n**📉Problem**\n\nHeadhunters create detailed reports for every candidate they propose to a company at the end of their search process. Manually writing these reports from scratch can take several hours, while most of the required inputs are readily available in their recruitment platform (think CV, cover letter, job description, interview notes). Similar tasks such as rewriting job descriptions and CVs are time and labor-intensive, adding up to \\~10% of the total workload. These tasks primarily involve converting raw information into standardized formats, which is time-consuming and slows down the hiring process.\n\n**📈Solution**\\\nSpott's candidate report writing agent streamlines this process by ingesting CVs, job descriptions, and interview notes to generate polished drafts in seconds. You can import recordings of in-person conversations and link transcripts from Zoom or Teams meetings to quickly create an 80% complete draft. Our context-rich editor, powered by AI, helps you efficiently finalize your report in minimal time. What sets Spott apart from ChatGPT and comparable solutions is the exceptional quality of its reports, the anonymized processing of sensitive client data, and the ability to export directly to your custom Word or PowerPoint templates. Our solution allows exec search recruiters to truly create reports in minutes rather than hours.\n\n**Founders**\\\nFounders [Manu](https://www.linkedin.com/in/manuvanderveeren/), [Samuel](https://www.linkedin.com/in/samuelsmeys/), and [Lander](https://www.linkedin.com/in/lander-degr%C3%A8ve/) bring recruiting expertise from McKinsey, BCG, and Bain. There, we saw clients struggle with legacy systems and realized AI-powered solutions could prove a transformative growth lever in executive search. Our goal: build the recruitment platform for the next generation of executive search firms.\n\n![uploaded image](/media/?type=post&id=87367&key=user_uploads/2229948/50385b80-397b-40ab-9ea7-d0da64422aff)\n\nContact us at [manu@spott.io](mailto:manu@spott.io)\\\nLearn more at [spott.io](http://spott.io)",
        "url": "https://www.ycombinator.com/launches/Mj9-spott-ai-agents-for-recruiting-firms",
        "votes": 27,
        "created_at": "2025-02-03T01:31:08.785Z"
      }
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  },
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    "name": "Rebolt",
    "slug": "rebolt",
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      "Redash"
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    "website": "https://rebolt.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Rebolt sits on top of your systems and builds tailor-made AI software - to drive outcomes",
    "one_liner": "AI-Powered Company OS",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1740196480,
    "tags": [
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      "AI",
      "AI Assistant"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2025",
    "status": "Active",
    "industries": [
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/rebolt",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/rebolt.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/reboltai/",
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    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
    },
    "founders": [
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        "user_id": 889685,
        "full_name": "Celia Manzano",
        "title": "Founder",
        "founder_bio": "Cofounder at Rebolt. Former cloud architect at Salesforce - leading technical sales on key accounts from $150k - $3M. Also worked as solution engineer at Apryse (SDK for document processing) and developed the torque vectoring ECU at UPM Racing (Formula SAE). UPM Aerospace Engineer BS",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/celiamanz",
        "x_url": "https://x.com/celsmanz",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8274e749b5dc77158bab68c48408fd2d133dc939.jpg"
      },
      {
        "user_id": 756971,
        "full_name": "Javier Sanchez",
        "title": "Founder/CTO",
        "founder_bio": "Cofounder at Rebolt. Prev Founding Engineer at Stack AI (YC W23) - Enterprise AI platform, where I steered and built core product features and brought key engineering hires from seed to series A ($2M ARR). Former Software Engineer at Ubuntu. Lead the software team and developed the LiDAR perception system for UPM Racing (Formula SAE). UPM BS CS and Telecom Engineering.",
        "is_active": true,
        "linkedin_url": null,
        "x_url": "https://x.com/jvrsanch",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3dcc2c1af286e16065537413891be11707931d4f.jpg"
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    ],
    "jobs": [
      {
        "id": 78723,
        "title": "Founding Growth Engineer",
        "url": "https://www.ycombinator.com/companies/rebolt/jobs/gOEVDd8-founding-growth-engineer",
        "location": "San Francisco, CA, US / Remote (Madrid, MD, ES; London, England, GB)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$60K - $180K",
        "equity_range": "0.50% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 78728,
        "title": "Founding Frontend/Design Engineer",
        "url": "https://www.ycombinator.com/companies/rebolt/jobs/JCRcV6h-founding-frontend-design-engineer",
        "location": "San Francisco, CA, US / Remote (Barcelona, CT, ES; Madrid, MD, ES; London, England, GB)",
        "type": "Full-time",
        "role": "Design",
        "role_type": "Web design",
        "salary_range": "$60K - $180K",
        "equity_range": "0.50% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 78730,
        "title": "Founding Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/rebolt/jobs/G4aLyQv-founding-forward-deployed-engineer",
        "location": "San Francisco, CA, US / Remote (London, England, GB; Madrid, MD, ES; Madrid, Community of Madrid, ES; Barcelona, CT, ES; Barcelona, Catalonia, ES)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$60K - $180K",
        "equity_range": "0.50% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 78732,
        "title": "Founding AI Engineer",
        "url": "https://www.ycombinator.com/companies/rebolt/jobs/siEnV0n-founding-ai-engineer",
        "location": "San Francisco, CA, US / Remote (Madrid, MD, ES; Madrid, Community of Madrid, ES; Barcelona, CT, ES; Barcelona, Catalonia, ES; London, England, GB)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$60K - $180K",
        "equity_range": "0.50% - 2.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 78750,
        "title": "Founding Backend Software Engineer",
        "url": "https://www.ycombinator.com/companies/rebolt/jobs/f0qBn0A-founding-backend-software-engineer",
        "location": "San Francisco, CA, US / Remote",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$60K - $180K",
        "equity_range": "0.50% - 2.00%",
        "experience": "1+ years",
        "visa": "Will sponsor",
        "skills": [
          "Python",
          "SQL"
        ]
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 93048,
        "title": "Rebolt - AI-Powered Company OS",
        "tagline": "Rebolt sits on top of your systems and builds tailor-made AI software to drive outcomes",
        "body": "![uploaded image](/media/?type=post&id=93048&key=user_uploads/756971/7fa6e21d-e9e1-4e04-9c2a-3548b5ad8e17)\n\nUnlike consumer vibe coding tools like Lovable and Replit, which are great WordPress replacements and prototyping tools, they're not purpose-built for company use.\n\nRebolt provides:\n\n1. Ready to use AI within apps, no API keys required.\n2. Off-the-shelf integrations with: OneDrive, SharePoint, Salesforce, Teams, Slack, custom APIs, and many more.\n3. Company knowledge for building and using within apps.\n4. Mapped roles and permissions with Azure groups and all SCIM providers.\n5. Database, file storage, cron jobs, and audit logs.\n6. Separate staging and production environments.\n\nNot for landing pages, but for creating effective AI solutions that work for you.\n\n![uploaded image](/media/?type=post&id=93048&key=user_uploads/756971/0b35bd7a-13f5-4e96-a302-74fb11d7037a)\n\n![uploaded image](/media/?type=post&id=93048&key=user_uploads/756971/fccbc91c-62b2-4b65-be99-3562f49566f3)\n\n![uploaded image](/media/?type=post&id=93048&key=user_uploads/756971/79d1b192-62fc-4dfa-8a17-c7c33ac99d4f)\n\n![uploaded image](/media/?type=post&id=93048&key=user_uploads/756971/7a177b29-3130-45ef-b5be-dbd333b526f0)\n\n![uploaded image](/media/?type=post&id=93048&key=user_uploads/756971/0f28c3d7-5168-47a7-8871-24048d44c15e)\n\n![uploaded image](/media/?type=post&id=93048&key=user_uploads/756971/4f189bd0-18c3-4a54-bd40-9d026247691d)\n\n![uploaded image](/media/?type=post&id=93048&key=user_uploads/756971/51e715bf-f444-4799-a8e9-232650b0b04f)\n\n![uploaded image](/media/?type=post&id=93048&key=user_uploads/756971/1c4f150d-ddd2-49b9-8843-760d5d12231b)\n\n## Our ask\n\n* Warm intros with CIOs and “AI champions”\n* Product feedback (ask for more free credits at [founders@rebolt.ai](mailto:founders@rebolt.ai))\n* Relevant use cases within your industry\n\nTry it here now: https://rebolt.ai\n\nWork with us, automating the world’s manual work: https://www.ycombinator.com/companies/rebolt/jobs",
        "url": "https://www.ycombinator.com/launches/OCm-rebolt-ai-powered-company-os",
        "votes": 149,
        "created_at": "2025-08-19T14:18:49.533Z"
      }
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  },
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    "id": 30328,
    "name": "Dalus",
    "slug": "dalus",
    "former_names": [],
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    "website": "https://dalus.io",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Dalus is an AI-powered systems engineering software to model/validate complex systems for aerospace/defense/robotics and other mission-critical industries. \r\n\r\nWith Dalus, engineers can seamlessly trace requirements, perform analyses, and update information in real-time. This ensures that every team member stays aligned and informed, reducing inefficiencies and enabling faster iterations. \r\n\r\nWith AI at our core, users can analyze hundreds of pages of existing engineering documentation and requirements to generate or retrieve information about the system model they are building in Dalus.\r\n\r\nWe started working together on Dalus in spring 2024 after Eliot quit his job at Aerojet Rocketdyne (L3Harris) where he worked as a test/systems engineer. He experienced first-hand how silos and poor communication reduced the productivity and efficiencies in the teams he worked at.\r\n\r\nWe love working with companies tackling complex engineering systems, whether they be startups just getting their feet wet or large organizations like Israel Aerospace Industries (Our design partner and biggest aerospace/defense company from Israel)\r\n\r\nRead why we started Dalus: https://dalus.io/articles/why-dalus",
    "one_liner": "AI-Powered Hardware System Design Software",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1736994368,
    "tags": [],
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2025",
    "status": "Active",
    "industries": [
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      "Engineering, Product and Design"
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    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
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    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/dalus",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/dalus.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/dalus-tech/",
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    "primary_partner": {
      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
    },
    "founders": [
      {
        "user_id": 460293,
        "full_name": "Sebastian Völkl",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder/CEO @ Dalus\nSoftware to model/validate complex systems for industries like aerospace/defense\n\nI co-founded two companies in the past (one software startup -> sold it, and one hardware startup, building Brain-Computer-Interface electronics)\n\nBefore starting Dalus, I was involved in a project with the European Space Agency, modeling a Greenhouse module for the Moon, where I learned firsthand how inefficient existing software for building hardware is. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/sebastian-voelkl/",
        "x_url": "https://twitter.com/basti_vkl",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7eb5900f8347c37d3bd532c389774076829d1390.jpg"
      },
      {
        "user_id": 1363858,
        "full_name": "Eliot Khachi",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder & CTO at Dalus\nBuilding the next generation of software for hardware engineers designing complex systems.\n\nPreviously worked as a systems integration / test engineer at Aerojet Rocketdyne where I planned tests for a propulsion system undergoing Proof Of Design for the navy. This is where I witnessed the inefficiencies of large, siloed engineering teams firsthand.\n\nB.S. Aerospace Engineering. Software enthusiast. Autodidact.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/eliot-khachi-426424159/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/43ab4762985020acf61c714007bb42cca090a6ed.jpg"
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    ],
    "jobs": [
      {
        "id": 96572,
        "title": "Senior Software/Frontend Engineer @ Germany Office",
        "url": "https://www.ycombinator.com/companies/dalus/jobs/5IDmKJt-senior-software-frontend-engineer-germany-office",
        "location": "San Francisco, CA, US / Los Angeles, CA, US / Melbourne, VIC, AU / Munich, BY, DE / Remote (DE)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Frontend",
        "salary_range": "€70K - €90K EUR",
        "equity_range": "0.20% - 1.00%",
        "experience": "6+ years",
        "visa": "US citizenship/visa not required",
        "skills": [
          "React"
        ]
      },
      {
        "id": 99648,
        "title": "GTM Intern ",
        "url": "https://www.ycombinator.com/companies/dalus/jobs/CqZr2It-gtm-intern",
        "location": "Munich, BY, DE / Munich, Bavaria, DE / San Francisco, CA, US / Melbourne, VIC, AU / Melbourne, Victoria, AU / Remote",
        "type": "Internship",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$18 - $25 / hourly",
        "equity_range": "",
        "experience": null,
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 111591,
        "title": "Senior Software Engineer - PLM/CAD Integrations",
        "url": "https://www.ycombinator.com/companies/dalus/jobs/sZ6myaQ-senior-software-engineer-plm-cad-integrations",
        "location": "San Francisco, CA, US / Munich, BY, DE / Munich, Bavaria, DE / Melbourne, VIC, AU / Melbourne, Victoria, AU / Remote",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$80K - $170K",
        "equity_range": "",
        "experience": "4+ years",
        "visa": "US citizenship/visa not required",
        "skills": [
          "Python",
          "TypeScript"
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    ],
    "news": [],
    "launches": [
      {
        "id": 87642,
        "title": "Dalus - Hardware system design software powered by AI",
        "tagline": "Dalus helps engineers create system models of complex hardware in a day instead of weeks.",
        "body": "# **TL;DR**\n\nDalus is building the next generation of hardware system design software powered by AI. Our goal is to make building hardware as fast and iterative as software development.\n\n🔧 Use Dalus to model complex hardware systems with ease\\\n🛠 Collaborate in real-time with a single source of truth for your system designs\\\n🤖 Leverage AI to automate tedious updates and generate insights in seconds\\\n🚀 Verify system requirements within seconds\n\nWe started working together on Dalus in spring 2024 after Eliot quit his job at Aerojet Rocketdyne (L3Harris) where he worked as a test/systems engineer. He experienced firsthand how silos and poor communication in hardware development reduced the productivity and efficiencies of the teams he worked at.\n\n<https://youtu.be/mTbpqLymL3U>\n\n# **Our Hypothesis:**\n\nHardware development in industries like aerospace, defense, and automotive is slow, siloed, and error-prone due to poorly maintained documentation. \n\nTraditional document-based approaches to systems engineering are outdated and fail to keep up with today’s agile hardware teams. Dalus provides an **intuitive model-based systems engineering (MBSE) platform** that centralizes all system requirements, functions, architectures, and constraints into one living digital model.\n\n## **The Need for Model-Based Systems Engineering (MBSE)**\n\nTraditional systems engineering relies heavily on scattered documents and manual processes, leading to inefficiencies and costly mistakes. MBSE addresses these issues by:\n\n1. Creating a single source of truth\n2. Enabling faster design-test-iterate cycles\n3. Catching errors early in the development process\n4. Supporting rapid changes in hardware designs\n\n   ![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXf1aozPCrqSOY6AuEN-7_b5CU_u4_uS_RDAqkgg0GqlDyxBxuRak3KvRGYzFkCGd3LTq1Qdqkkm2llPcI0W__yXQBIDLvtBCMorZtaFdFWJu57VDbxaqV-lVZG8q4K8kN0UdBw7?key=81YZe2YCcaHvmEQ0BoEuPJUw)\n\n\n# **Industry Focus:**\n\nDalus is tailored for complex engineering systems in industries such as aerospace, defense, energy, and automotive.\n\nWe love working with companies tackling complex engineering systems, whether they be startups just getting their feet wet or large organizations like Israel Aerospace Industries (Our design partner and biggest aerospace/defense company from Israel)\n\n## **Dalus' Approach**\n\nDalus differentiates itself from existing solutions by offering:\n\n1. Cloud-based software that's intuitive and reasonably priced\n2. Seamless integration with existing design and simulation tools\n3. AI-driven capabilities to automate tedious tasks\n4. A focus on supporting agile hardware teams in fast-changing environments\n\n   ![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXfQfTZt8sjAxYlpkO4E0KeKvZa2PWHcsY2P9PaLI33gn_rJ4npYq3uphNlkIqWzxvSrJdZ_lfOUzibP8vaNyVl_-jhrZElnDj18gonT6d0ZLj5TQJDgAeio6ehaG5gyB52iMV22Tg?key=81YZe2YCcaHvmEQ0BoEuPJUw)\n\n\n## **Future Developments**\n\nDalus is actively working on new features based on user feedback, including:\n\n* Native integrations with physical simulation tools\n* Version control\n* Creating the best AI on the market for hardware systems engineering\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXfUWnYnlL_4HOjcu8QbXJcZLBWWJXG9yc11C2SFnUWGsMyBqBYpmwp1l5iFoIzUvsNpIwIl5NYuLk8RnjAMBEdljMctJFHHG5wrVek7Gy0typhqwOlih0fs5rYLrcdsaA9-bvipJg?key=81YZe2YCcaHvmEQ0BoEuPJUw)\n\n# **The Ask**\n\n* If you know someone who is working on complex hardware systems, send them to [dalus.io](http://dalus.io)\n\nRead more on why we started Dalus: <https://dalus.io/articles/why-dalus>\n\n\\\nReach us at [sebastian@dalus.io](mailto:sebastian@dalus.io)\n\n![uploaded image](/media/?type=post&id=87642&key=user_uploads/460293/f3f042a9-9dec-4835-a08c-6d95e82d7304)\n\n",
        "url": "https://www.ycombinator.com/launches/Mna-dalus-hardware-system-design-software-powered-by-ai",
        "votes": 10,
        "created_at": "2025-02-13T15:36:15.123Z"
      }
    ]
  },
  {
    "id": 30336,
    "name": "Atlog",
    "slug": "atlog",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3405b06390efd124a27be23179a4e549fc3f10d0.png",
    "website": "https://atlog.ai",
    "all_locations": "New York City, NY, USA",
    "long_description": "Atlog creates voice agents with built-in compliance purpose built for Outbound. Companies use Atlog to automate their calls and texts without worrying about getting sued.",
    "one_liner": "Outbound voice and text AI without a prompt",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1748272733,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Spring 2025",
    "status": "Active",
    "industries": [
      "B2B",
      "Operations"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/atlog",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/atlog.json",
    "year_founded": 2024,
    "city": "New York City",
    "country": "US",
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    "id": 30338,
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    "website": "https://runcopycat.com",
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    "long_description": "CopyCat builds AI for commercial, personal & benefits insurance brokers. It turns carrier quotes and policy documents into branded proposals, quote comparisons, and coverage reviews, and helps teams check policies and review insurance contracts, flagging discrepancies and documenting findings with source references. ",
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    "country": "US",
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        "full_name": "Graham Sabin",
        "title": "Founder",
        "founder_bio": "Co-Founder @ CopyCat. Previously I was building Platter, serving hundreds of restaurants, processing hundreds of thousands of dollars every month. I've worked at multiple Series A startups, building products used by millions.",
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        "linkedin_url": "https://www.linkedin.com/in/grahamsabin/",
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    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/ergoai/",
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        "full_name": "Yash Dulla",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder and CEO at Ergo, Yash is a previous founder of Breezy Medical, AI for healthcare documentation and reimbursements. He studied engineering at Georgia Tech, where he also lead research in biomedical devices, and won Stanford's Hackathon in 2024. If Yash wasn't working on Ergo, you would likely find on the golf course every day.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/yash-dulla/",
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        "full_name": "Ishan Sheth",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder & CTO of Ergo. Studied Computer Science and Economics at Georgia Tech. Previously founded Breezy Medical, which provided AI nurses for medical documentation and reimbursements. Also did software/ML for a handful of tech startups and a bank.",
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        "title": " Sales Development Representative",
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        "id": 87020,
        "title": "Ergo – Revenue infrastructure for high-growth sales teams",
        "tagline": "We connect every conversation your team has and build the unified data layer that moves deals forward.",
        "body": "**We're Yash and Ishan, co-founders of Ergo.**\n\n**Ergo is the revenue infrastructure for teams growing faster than their systems can keep up.** We connect the conversations your team is already having, across calls, email, Slack, and more, and build a unified data layer that moves deals forward.\n\nTeams like [Rho](https://rho.co), [RetellAI](https://retellai.com), [Whop](https://whop.com), [Agency Cybersecurity](https://getagency.com), [Corgi](https://corgi.insure), and [Greptile](https://greptile.com) are already running on Ergo.\n\n**📉 The Problem**\n\nRevenue teams are drowning in fragmented data. Your reps are on six different communication channels. None of it connects. None of it acts on itself.\n\n* Deals slip because no one followed up at the right moment\n* Leadership asks reps what's happening instead of just knowing\n* Marketing sequences run on empty fields because the right data never made it in\n* AEs walk into calls without context because handoffs live in someone's Slack DMs\n\nThe conversations are happening. The signal is there. It just never goes anywhere.\n\n**📈 The Solution**\n\nErgo plugs into every channel where your team talks to prospects and customers and builds a unified data layer across all of it. Every call, email, and message gets structured into a single source of truth your entire revenue org can act on.\n\n* **For revenue teams:** Structured deal data captured automatically across every call, email, and message, without touching your CRM\n* **For reps:** Follow-ups drafted and surfaced at the right moment, every time\n* **For managers and founders:** Real-time pipeline visibility without chasing anyone for updates\n* **For RevOps and marketing:** Clean, structured data that actually powers your sequences and reporting\n\n**⚙️ How It Works**\n\n1. **Connect your channels** — Zoom, Google Meet, Gmail, Outlook, Slack, dialers. Wherever your team talks to customers, Ergo listens.\n2. **Structure the signal** — Every conversation becomes structured, actionable data across your pipeline.\n3. **Execute on what's next** — Follow-ups drafted. Deals surfaced. Pipeline moving. No manual work required.\n\n**🎬 Our Story**\n\nWe started at Georgia Tech, and got our first real signal at a YC-backed startup in SF. We spent four days embedded with their sales team and watched 15-20 daily calls evaporate into missed follow-ups and stale records. We built a first version over a weekend that unlocked $75K in closed contracts. That problem turned out to be everywhere.\n\nToday Ergo supports revenue teams running their entire bottom-of-funnel motion, from first conversation to close to expansion, without the admin.\n\n**👉 [joinergo.com](http://joinergo.com)** Questions? [yash@joinergo.com](mailto:yash@joinergo.com) or [ishan@joinergo.com](mailto:ishan@joinergo.com)",
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    "id": 30341,
    "name": "Browser Use",
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    "long_description": "We enable AI to control the browser. \r\nBrowser-use is the biggest open-source web agent project with 110k+ Github stars.",
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        "full_name": "Gregor Zunic",
        "title": "Founder/CTO",
        "founder_bio": "I love solving hard problems. Data Science masters at ETH Zurich, bachelors in Physics.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/gregorzunic",
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        "title": "Summer Software Engineering Intern (now and Summer 2026)",
        "url": "https://www.ycombinator.com/companies/browser-use/jobs/JwGWpEP-summer-software-engineering-intern-now-and-summer-2026",
        "location": "San Francisco, CA, US",
        "type": "Internship",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$6K - $16K / monthly",
        "equity_range": "",
        "experience": null,
        "visa": "US citizen/visa only",
        "skills": [
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      },
      {
        "id": 75884,
        "title": "Software Engineer",
        "url": "https://www.ycombinator.com/companies/browser-use/jobs/jDXD9an-software-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$175K - $300K",
        "equity_range": "0.50% - 1.00%",
        "experience": "1+ years",
        "visa": "Will sponsor",
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      {
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        "title": "Infra god",
        "url": "https://www.ycombinator.com/companies/browser-use/jobs/8BYM83A-infra-god",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$200K - $350K",
        "equity_range": "0.50% - 1.40%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": [
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          "Python",
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      },
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        "title": "Founding Forward-Deployed Engineer",
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        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$200 - $300",
        "equity_range": "0.50% - 1.20%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
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      },
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        "id": 107158,
        "title": "Founding Engineer (ex-YC founders only)",
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        "location": "San Francisco, CA, US",
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        "role": "Engineering",
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        "title": "Browser Use, the tool making it easier for AI 'agents' to navigate websites, raises $17M | TechCrunch",
        "url": "https://techcrunch.com/2025/03/23/browser-use-the-tool-making-it-easier-for-ai-agents-to-navigate-websites-raises-17m/",
        "date": "Mar 23, 2025"
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      {
        "title": "Browser Use, one of the tools powering Manus, is also going viral | TechCrunch",
        "url": "https://techcrunch.com/2025/03/12/browser-use-one-of-the-tools-powering-manus-is-also-going-viral/",
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        "id": 87243,
        "title": "Browser Use: Open Source alternative to OpenAI Operator",
        "tagline": "We enable AI to control your browser.",
        "body": "Hey everyone, we're Gregor and Magnus we are excited to launch Browser Use Cloud!\n\n# What is Browser Use (Cloud)?\n\nWe started this project 3 months ago because it simply wasn’t possible to use the Browser with any LLM. We thought “How hard could it be to build the interface between LLMs and the web?” Fast forwarding 3 months, we have combined 25k ⭐ on Github and our Open Source community is growing fast.\n\nFour days ago, OpenAI launched Operator. Since then, our community has been asking non-stop for a hosted version of browser-use. So we shipped that. Now you can use Browser Use as a B2C chat tool at <https://cloud.browser-use.com/>. We are releasing the API in the next few days. If you need API access for web agents, call us, don’t wait for the Open AI Operator API to be released!\n\n![uploaded image](/media/?type=post&id=87243&key=user_uploads/1367312/bc5949c1-a906-4131-a621-d7da318dda1a)\n\n# Existing problems\n\nDuring many conversations with our discord community of 5000 people, we identified these core challenges in browser automation:\n\n* Websites change, and this breaks automation scripts. You usually only notice this, when it's too late.\n* Websites often catch bots. To avoid this, you need to use different IP addresses, solve captchas, and act more like a human.\n* Many people get frustrated with rate limits, parsing errors and API key management, when they do LLM-based scraping.\n* The most useful tasks often require you to log in. This can be a pain, especially if you have to type in your username and password every time.\n\n[Browser Use hosted version](https://cloud.browser-use.com/) addresses these challenges by handling proxy rotation, maintaining persistent sessions - so you only need to login once, and allowing you to run as many instances in parallel as you need. We've priced it at $30/month, significantly lower than Operator.\n\nOn the open-source side, browser-use remains free and flexible. You can use any LLM you prefer - from Gemini to Sonnet, Qwen, and even DeepSeek-R1. It comes with an MIT license and full customisation options.\n\nThis week, we're working on follow-up questions, task reruns, voice mode, and scheduled agent starts. If you want to build automations directly into your products call us, we are happy to explore your use cases and help you set get set up with the API or even custom integration.\n\n**Our vision is simple**: tell your computer what to do, and it gets it done.\n\n![uploaded image](/media/?type=post&id=87243&key=user_uploads/1367312/1ac17208-7147-4696-aa13-7e67a4be8329)\n\nWe'd love to hear from you. What automation challenges are you facing? How do you think people will interact with computers in the future?",
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        "full_name": "Lukas Bock",
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        "full_name": "Stefan Zheng",
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        "full_name": "Sean Sdahl",
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        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/sean-sdahl/",
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        "title": "Customer Support Engineer",
        "url": "https://www.ycombinator.com/companies/mercura/jobs/lD58UIM-customer-support-engineer",
        "location": "Munich",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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      {
        "id": 100962,
        "title": "Solution Engineer",
        "url": "https://www.ycombinator.com/companies/mercura/jobs/aMwypsQ-solution-engineer",
        "location": "Munich",
        "type": "Full-time",
        "role": "Engineering",
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        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 100963,
        "title": "(Senior) Fullstack Engineer",
        "url": "https://www.ycombinator.com/companies/mercura/jobs/YUuqw0G-senior-fullstack-engineer",
        "location": "Munich",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
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      },
      {
        "id": 100964,
        "title": "(Senior) AI/LLM Engineer",
        "url": "https://www.ycombinator.com/companies/mercura/jobs/PAXgqdt-senior-ai-llm-engineer",
        "location": "Munich",
        "type": "Full-time",
        "role": "Engineering",
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        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
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      },
      {
        "id": 100965,
        "title": "Founding People & Talent Lead",
        "url": "https://www.ycombinator.com/companies/mercura/jobs/AczBM6G-founding-people-talent-lead",
        "location": "Munich",
        "type": "Full-time",
        "role": "Recruiting & HR",
        "role_type": "Recruiter",
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
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        "id": 100966,
        "title": "Founders Associate (Growth)",
        "url": "https://www.ycombinator.com/companies/mercura/jobs/YKqNVQW-founders-associate-growth",
        "location": "Munich",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
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      },
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        "id": 100967,
        "title": "Business Development Representative (BDR)",
        "url": "https://www.ycombinator.com/companies/mercura/jobs/NZKIfDF-business-development-representative-bdr",
        "location": "Munich",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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        "id": 100968,
        "title": "Account Executive",
        "url": "https://www.ycombinator.com/companies/mercura/jobs/NY7VkuG-account-executive",
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        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
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        "title": "(Senior) Customer Success Manager",
        "url": "https://www.ycombinator.com/companies/mercura/jobs/ECgsvel-senior-customer-success-manager",
        "location": "Munich",
        "type": "Full-time",
        "role": "Support",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
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        "title": "Forward Deployed Engineer (FDE)",
        "url": "https://www.ycombinator.com/companies/mercura/jobs/Fpr452F-forward-deployed-engineer-fde",
        "location": "Munich",
        "type": "Full-time",
        "role": "Engineering",
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        "experience": "Any (new grads ok)",
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        "title": "Staff Engineer",
        "url": "https://www.ycombinator.com/companies/mercura/jobs/m2Nvk7t-staff-engineer",
        "location": "Munich",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "8+ years",
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      {
        "id": 88089,
        "title": "Mercura: Quotes in minutes, not days",
        "tagline": "Mercura automates sales quotations for HVAC, electrical and plumbing distributors & manufacturers.",
        "body": "# **📜 Background:**\n\nCo-founder Lukas Bock grew up in a family business with over 100 years in plumbing and electrical trades. He’s seen first-hand how manual quoting in the construction industry is.\n\nInspired by this legacy, Mercura is now using AI to transform how millions of sales reps at distributors & manufacturers work.\n\n# **❌ Problem:**\n\nWhen contractors bid on construction projects, they request quotes from distributors and manufacturers, often in unstructured formats like emails, Excel files, and PDFs. These requests contain functional product requirements but frequently lack details.\n\nDistributors and manufacturers employ massive inside sales teams that manually interpret these requests, compare specifications with their product catalog, and select suitable products.\n\nThis slow, manual, and error-prone process holds off inside sales teams from their core task—selling—while delaying responses to customers and increasing the risk of lost revenue.\n\n<https://youtu.be/Bn-ENaj_6Tc>\n\n# **🪄 Solution:**\n\nMercura automates sales quotations for HVAC, electrical and plumbing distributors & manufacturers.\n\nBy eliminating repetitive back-office tasks with AI, our software enables sales teams to process RFQs in minutes instead of days. This lets them focus on winning more deals and driving revenue.\n\nOur customers use Mercura to quote significantly more requests automatically, which allows them to maximize their sales potential and win more customers.\n\nThis is how it works:\n\n1. **Customer request intake** – Requests arrive in various formats (PDFs, Excel, emails, etc.) and must be processed into the ERP.\n2. **Data extraction** – Our AI extracts relevant product information, such as product descriptions, types, manufacturers, part numbers, and quantities, and structures it correctly.\n3. **Validation & matching** – Our AI matches line items with the distributor’s product catalog, and suggests the best matches based on the customer’s sales history.\n4. **ERP entry** – The quote is automatically entered into the ERP.\n\n# **🌟 About us:**\n\n**Lukas Bock** grew up in a family business with over 100 years in construction. After working as an AI engineer at Google X and Data Scientist at Allianz, he’s now back in the industry to transform how sales reps work.\n\n**Hai Dang** is an AI researcher with experience at Meta and Autodesk, holding patents and over ten first-authored papers at top-tier conferences. He’s an expert in human-AI collaboration and now applying his research to this domain.\n\n**Stefan Zheng** improved operations efficiency across 15+ manufacturing plants as a consultant at Bain. He’s excited to drive sales efficiency in wholesale distribution at scale.\n\n# **🙏 Our Ask:**\n\n1. Intro us to HVAC, electrical and plumbing distributors & manufacturers - we give you 20% of the first monthly fee if we close a deal!\n2. We’d love to hear your thoughts and feedback at [founders@mercura.ai](mailto:founders@mercura.ai)\n\nYour help can make a huge difference. **Thank you!**\n\n\\- Lukas, Stefan & Hai\n\n![uploaded image](/media/?type=post&id=88089&key=user_uploads/555541/c0da4321-ccfa-4a0d-8235-868afb347324)\n\n",
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        "created_at": "2025-02-27T00:17:16.782Z"
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    "name": "SAMMY Labs",
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    "all_locations": "London, England, United Kingdom",
    "long_description": "Computational Law",
    "one_liner": "Computational Law",
    "team_size": 10,
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    "year_founded": 2024,
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        "user_id": 2145857,
        "full_name": "Joe Savidge",
        "title": "Founder/CEO",
        "founder_bio": "Ex-Palantir pod lead , previous founder and IBanker (for my sins)\n\nNow working on augmenting everything post-sales with screen based agents ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/josephsavidge",
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        "user_id": 2420295,
        "full_name": "Shav Vimalendiran",
        "title": "Founder/CTO",
        "founder_bio": "ex-Quant Dev @ Algorithmic Hedge Fund, Founding Engineer @ Fintech. Now building SAMMY,  computational law for AI agents, so legal questions get deterministic answers with a full audit trail instead of an LLM's best guess.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/shavvimalendiran/",
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        "id": 75908,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/sammy-labs/jobs/gUpSF5h-founding-engineer",
        "location": "England, GB",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "£50K - £250K GBP",
        "equity_range": "0.10% - 1.00%",
        "experience": "Any (new grads ok)",
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      {
        "id": 87852,
        "title": "SAMMY Labs, the knowledge layer.",
        "tagline": "SAMMY Labs, the knowledge layer. Without knowledge, your AI is just a bull**** exacerbator.",
        "body": "**At SAMMY, we do knowledge.** Not “find me every time _\\[thing\\]_ was mentioned,” but real knowledge.\n\nA compliance or legal update comes in — where does it apply, how does it affect our processes, and what should we do next?\n\nA process changes — which related processes need updating? Update them for me.\n\nWe’re trusted by some of the largest companies in the world to power their knowledge, because without knowledge, AI is just a bullshit exacerbator.\n\n### How we got here\n\nIn his time leading teams at Palantir, our CEO, Joe, saw how painful it was for his customers to adapt to a process change. It wasn’t that the change itself was difficult, it was the cascading effects - 10s, sometimes 100s, of other processes also needed updating; people weren’t informed; automations couldn’t handle it. AI only makes the problem worse, without a source of truth AI is just a parrot of misinformation. This is particularly apparent when compliance changes come into effect where the cost is, well, costly. \\\n\\\nShav, our CTO, was building real-time AI & data-streaming stacks in the fintech space. He saw first-hand how critical it is to give users relevant, up-to-date information. These insights, alongside his modelling expertise, shaped SAMMY’s AI architecture to continuously map and update all knowledge across an org in realtime.\\\n\\\n**Running across 5+ verticals with companies from seed stage to $10bn+ valuation**\n\n[www.sammylabs.com](http://www.sammylabs.com)\n\n### Reach out at:\n\n[founders@sammylabs.com](mailto:founders@sammylabs.com)\n\n![uploaded image](/media/?type=post&id=87852&key=user_uploads/2145857/b6fd92b9-62c0-4924-bf05-14bfc3da6e32)\n\n[Joe](https://www.linkedin.com/in/josephsavidge/) (CEO) - ex-Palantir, 2x startup first product hire, previous founder, previous iBanker\\\n\\\n[Shav](https://www.linkedin.com/in/shavvimalendiran/) (CTO) - ex-Quant Dev @ Algorithmic Hedge Fund, Founding Engineer @ Fintech\\\n\\\n[Josh](https://www.linkedin.com/in/joshua-carey-5156a51aa/) (Founding Engineer) - Team GB kite surfing, previous founder, all-round brilliant engineer",
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        "votes": 343,
        "created_at": "2025-02-21T04:09:32.952Z"
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    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1738700190,
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        "title": "Artifact - A modern workspace for electrical design",
        "tagline": "We're building CAD software for electrical system design",
        "body": "We’re Antony and Corbin - cofounders of [Artifact](https://www.artifact.engineer/)!\n\nIn our past life, we built custom Mach 5 jet engines together - with the electrical designs living on iPhone pictures of whiteboards. We’re here to _finally_ bring electrical design tools to the modern age\n\n**The ask:** if you’re a hardware engineer building complex electrical systems, email us at [antony@artifact.engineer](mailto:antony@artifact.engineer) or [schedule a demo](https://calendly.com/antony-artifact/20min)!\n\n<https://www.youtube.com/watch?v=dvljACPVPLQ&ab_channel=Artifact>\n\n# **THE PROBLEM:**\n\n**Electrical system design tools have lagged behind modern-day needs:** \n\n1. Manually reading datasheets takes too long and is error-prone\n2. Visio, [draw.io](http://draw.io), or Excel don’t have built-in electrical capability\n3. Linking low and high-fidelity designs is manual and error-prone\n4. Manufacturing drawings are manually drawn and fall out of sync\n\n# **THE SOLUTION:**\n\n**We’re building a single-source-of-truth electrical tool with AI hooks:**\n\n1. Use our AI datasheet parser to generate pinouts\n2. Embed electrical capabilities (e.g. parts libraries & design checks)\n3. Link Low-fidelity block diagrams and high-fidelity details\n4. Autogenerate manufacturing drawings from system definition\n\n![Datasheet Parser - GIF](https://www.tella.tv/api/stories/cm6pp3qgg000f0albb2wggcvs/thumb.gif?version=2025-02-03T23:51:06.063Z&resolution=1280x720&inpoint=0)\n\n![Add a PCB - GIF](https://www.tella.tv/api/stories/cm6ppk7ol00050aju8juk1tia/thumb.gif?version=2025-02-03T23:55:08.369Z&resolution=1280x720&inpoint=0)\n\n# **OUR TEAM:**\n\n**We built jet engines together - now we’re building tools we wish we had**\n\n![No alt text provided for this image](https://media.licdn.com/dms/image/v2/D4E22AQHTwK48z-Lt3w/feedshare-shrink_2048_1536/B4EZSHiAHvGYAs-/0/1737440631222?e=1741824000&v=beta&t=bRT80ya2jyp2sNJ7FWgvyVNTFeYXI-ZojpxzyEkOOCw)\n\n[Antony Samuel (CEO)](https://www.linkedin.com/in/antony-samuel/) is an electrical engineer who has spent eight years developing avionics and software for complex aerospace systems. Most recently, he was the Avionics Lead at Hermeus, where he built the team and infrastructure behind the avionics for the world’s fastest aircraft.\n\n[Corbin Klett (CTO)](https://www.linkedin.com/in/corbinklett/) is an aerospace engineering PhD from Georgia Tech, where he applied control theory research to robotic systems. After building embedded software for a high-speed aircraft prototype, he cofounded Artifact to build software to accelerate hardware engineering workflows.\n\n**Watch a more detailed technical demo here:**\n\n<https://www.tella.tv/video/cm6pmvpo6000c0bju7wkndp7c/view>\n\n![uploaded image](/media/?type=post&id=87430&key=user_uploads/2436016/73ae0568-6787-47a8-b086-db0bef921741)\n\n",
        "url": "https://www.ycombinator.com/launches/MkA-artifact-a-modern-workspace-for-electrical-design",
        "votes": 16,
        "created_at": "2025-02-05T04:13:30.452Z"
      }
    ]
  },
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    "id": 30362,
    "name": "Ambral",
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    "website": "https://www.ambral.com/",
    "all_locations": "New York City, NY, USA",
    "long_description": "AI for account management and customer success. Ambral has already been used to drive hundreds of millions of dollars in attributable expansion revenue at multi-billion dollar enterprises and top scale-ups.\r\n\r\nAmbral synthesizes signals from all customer activity and interactions into AI-powered models of every account. It pinpoints who needs attention and why, and autonomously takes the best next action to drive expansions, prevent churn, and ensure no customer slips through the cracks. \r\n\r\nTeam: \r\nSam (CEO): 2x founder. Led AI at Everlywell and early PM at Wonder (now valued at $7bn). Lived the pain of losing customer intimacy at scale and is obsessed with solving it. \r\n\r\nJack (CTO): Ex-SpaceX Flight Software Special Projects, where he developed telemetry routing and analysis systems for the some of most complex machines ever created. He’s now doing the same for the complexities of customer relationships. ",
    "one_liner": "AI for account management and customer success",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Sales",
    "launched_at": 1753910833,
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2025",
    "status": "Active",
    "industries": [
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/ambral",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/ambral.json",
    "year_founded": 2025,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/ambral",
    "x_url": "https://x.com/ambral_ai",
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c1261383b7f5f7d5fcba63a49453bf6d9148fcfc.png",
    "app_video_url": null,
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    "primary_partner": {
      "name": "Harj Taggar",
      "url": "https://www.ycombinator.com/people/harj-taggar"
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    "founders": [
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        "user_id": 310636,
        "full_name": "Sam Brickman",
        "title": "Founder/CEO",
        "founder_bio": "CEO @ Ambral. 2x previous founder (1 exit). Early PM at Wonder (0 - $50m revenue).",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/sam-brickman-086341136/",
        "x_url": "https://x.com/Sambrickman_",
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        "full_name": "Jack Stettner",
        "title": "Founder",
        "founder_bio": "CTO @ Ambral. Ex-SpaceX Flight Software and AI.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jackstettner/",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0994a714cef94946a8c6cb32dcd0ffa747280ce9.jpg"
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    "jobs": [
      {
        "id": 105085,
        "title": "Member of Technical Staff (New Grad)",
        "url": "https://www.ycombinator.com/companies/ambral/jobs/kYTr5A8-member-of-technical-staff-new-grad",
        "location": "New York / San Francisco",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$140K - $175K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 107429,
        "title": "Head of Research ",
        "url": "https://www.ycombinator.com/companies/ambral/jobs/sCz0Etq-head-of-research",
        "location": "New York / San Francisco",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$250K - $400K",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 107430,
        "title": "Member of Technical Staff (Evals & Post-Training)",
        "url": "https://www.ycombinator.com/companies/ambral/jobs/vK7JuLl-member-of-technical-staff-evals-post-training",
        "location": "New York / San Francisco",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$165K - $325K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
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    "news": [],
    "launches": [
      {
        "id": 92832,
        "title": "Ambral Cortex: Enterprise-grade AI Account Managers",
        "tagline": "Detect hidden revenue signals, predict what each customer needs next, and autonomously execute the right strategic action",
        "body": "# We built Ambral Cortex to give every B2B customer an AI Account Manager\n\n\\\nhttps://youtu.be/jCUKx0mjXz0\n\n# **Who we are**:\n\n💼 **Sam (CEO)** is a 2x founder, was an early product hire at Wonder (valued at $7bn) and led AI product at Everlywell. He launched a platform in college which grew to 100k+ users within a month and was the CTO of a food delivery business which was acquired at the start of the pandemic. He’s felt the pain of losing customer intimacy at scale and is obsessed with solving it.\n\n🚀 **Jack (CTO)** is ex-SpaceX Flight Software Special Projects, where he developed the next-gen flight computer and telemetry backbone for Falcon 9 and Falcon Heavy. In mission control, he watched how split second decisions based on the right data at the right time mean the difference between success and failure. He’s now doing the same for your customers.\n\n# 🛑 **The Problem:**\n\nStaffing a dedicated human Account Manager for every mid-market and SMB customer has never been economically feasible. Companies are forced to focus only on their largest accounts while the rest are underserved or ignored, resulting in millions in expansion revenue left on the table and preventable churn.\n\n# 🔥 **Our Solution:**\n\nCortex eliminates this tradeoff and makes it possible to bring an enterprise-grade experience to every customer. It uses AI to find hidden revenue signals, predict what each customer needs next, and autonomously executes the right revenue-driving or strategic action. It can handle everything from conversational onboarding calls, to manual reporting work, to driving expansions and securing renewals. It's like cloning your best Account Manager, giving them a degree in data science, and assigning one to each of your customers. \n\nIf you run revenue or customer operations teams let’s chat! [Grab time with us ](https://ambral.com/meet)or shoot us a text at 914-815-7914\n\n# ",
        "url": "https://www.ycombinator.com/launches/O9I-ambral-cortex-enterprise-grade-ai-account-managers",
        "votes": 67,
        "created_at": "2025-11-18T21:25:47.000Z"
      }
    ]
  },
  {
    "id": 30364,
    "name": "Wayline",
    "slug": "wayline",
    "former_names": [
      "Level0",
      "Wayline",
      "WAYLINE"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/aa83a2cdabf22eb6acd4e5c54d4969ec37a0a549.png",
    "website": "https://wayline.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Wayline is an AI front desk assistant purpose-built for real estate to answer calls and messages 24/7. It’s like an always-on property manager that can convert leads and resolve issues better than any human, day or night. Our AI can be setup in as little as 24 hours and works seamlessly with existing phone/management software. Uniquely, our AI knowledge base is domain-specific to learn and handle the most complex real estate workflows. For property operators, Wayline instantly replaces robo-menus and call centers, while centralizing and scaling back-office teams.",
    "one_liner": "AI voice for property managers",
    "team_size": 5,
    "industry": "Real Estate and Construction",
    "subindustry": "Real Estate and Construction",
    "launched_at": 1754534050,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2025",
    "status": "Active",
    "industries": [
      "Real Estate and Construction"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/wayline",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/wayline.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/wayline-ai",
    "x_url": "",
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    "primary_partner": {
      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
    },
    "founders": [
      {
        "user_id": 73209,
        "full_name": "Jason Okra",
        "title": "Founder/CEO",
        "founder_bio": "CEO and Co-founder of Wayline. Jason formerly led WeWork’s commercial $110M All-Access business, ran the WeLive coliving product, headed software development at the hospitality provider Jupe (YC S21, Initialized-backed), and advised apartment-finder Kopa (W19). Previous to that, he founded and bootstrapped Baker Street, a boutique property management company to $1M ARR. In addition, Jason founded the multi-family prop-tech startup Cribspot (YC W15), with the team joining Apartmentlist in 2018.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/okra/ ",
        "x_url": "https://x.com/heyokra",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/018229c2ba1905864777e4182f8a012bb4c1c315.jpg"
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      {
        "user_id": 602008,
        "full_name": "Eric Rowell",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder & CTO of Wayline (YC S25). I was previously the founder & CEO of Second (YC W23) where I raised $1.9M to build enterprise codebase maintenance tools.  Before that, I was the co-founder and CTO of Uiflow (YC W21) where I raised $21M, built a no-code platform for enterprises, and was acquired by Workday.  Before that, I was the Head of Data Visualization at Workday, UI architect at LinkedIn and Yahoo, author of HTML5 Canvas Cookbook, and created several popular open source libraries.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/errowell/",
        "x_url": "https://twitter.com/ericdrowell",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8711a8a78e4890dda14db45a462de5c5fa8d22f3.jpg"
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    ],
    "jobs": [
      {
        "id": 90300,
        "title": "Customer Success Manager",
        "url": "https://www.ycombinator.com/companies/wayline/jobs/ZIL7Cfl-customer-success-manager",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$145K - $205K",
        "equity_range": "0.25% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
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    "news": [],
    "launches": [
      {
        "id": 93265,
        "title": "Wayline: AI voice and text for property managers",
        "tagline": "We convert leads and resolve issues 24/7",
        "body": "**TL;DR**\\\nWayline is voice AI and text for property managers that automates all tasks traditionally handled by receptionists, leasing agents, and maintenance coordinators. Imagine staffing an always-on property assistant that can convert leads and resolve issues instantly, day or night. Instead of robo-menus or call centers, every call and text is answered instantly by AI that knows the property better than the onsite teams.\n\nWe bring a decade of property tech and real estate operations experience, having bootstrapped a management company to $1M ARR, run WeLive’s global operations, and oversaw WeWork’s $110M All-Access product. We’re also multi-time founders, having raised $25M+ across three YC-backed companies, and built platforms at LinkedIn and Workday. Together, we combine deep real estate expertise with repeat founder experience in AI and enterprise software.\n\nhttps://www.youtube.com/watch?v=csrPXRzr6zU\n\n![uploaded image](/media/?type=post&id=93265&key=user_uploads/73209/e6ad601f-26ec-43e4-b23e-e97122174f10)\n\n**The Problem**\n\nProperty management is human-intensive, low-margin, and full of repetitive communication. Operators juggle endless leasing calls, maintenance triage, and support inquiries - all while managing constant staff turnover and fragmented tools like AppFolio, Yardi, and spreadsheets. The result: overworked teams, missed opportunities, and reactive service.\n\n**The Solution**\n\nWayline is the new front desk for real estate. Property management is largely administrative work - phone calls, coordination, and repetitive workflows - and we automate all of it with AI and a property-specific knowledge base. We pull in data from hundreds of public and proprietary sources to resolve issues in real-time and automate follow-up workflows. For tenants and prospects, calling or texting the building _is_ the interface. For operators, Wayline centralizes and scales what used to take teams of on-site managers and assistants.\n\n![uploaded image](/media/?type=post&id=93265&key=user_uploads/73209/7133a6a9-4f2d-4d6a-ba3b-219cfeeb8d89)\n\n![uploaded image](/media/?type=post&id=93265&key=user_uploads/73209/7fae2c02-11fb-41bd-bef9-edc39cf7feb7)\n\n**Why Now**\n\nReal estate has resisted disruption for decades with fragmented platforms, duct-taped point solutions, and thin margins. However, AI changes the labor equation: for the first time, the administrative side of property management can be run largely by software. And unlike human teams, AI never sleeps or churns.\n\n**The Team**\n\n![uploaded image](/media/?type=post&id=93265&key=user_uploads/602008/30a1da54-5f89-4338-99a3-4fed68a272fe)\n\n* Jason Okra previously led WeWork’s $110M All-Access product, ran WeLive’s global operations, and bootstrapped a property management company to $1M ARR.\n* Eric Rowell is a 3x YC founder who has previously raised $23M+, architected the LinkedIn homepage, and was the Head of Data Visualization at Workday.\n\nWe’re building the AI operator for the 46M rental units in the US. Learn more at [wayline.com](http://wayline.com) →",
        "url": "https://www.ycombinator.com/launches/OGH-wayline-ai-voice-and-text-for-property-managers",
        "votes": 22,
        "created_at": "2025-08-22T18:18:52.223Z"
      },
      {
        "id": 73110,
        "title": "⚫ ⚫ Second - The world's first fully automated codebase migration platform",
        "tagline": "Modernize your business with automated migrations for every codebase",
        "body": "Hi friends! Second provides AI agents that specialize in codebase migrations. Today we support:\n\n![uploaded image](/media/?type=post&id=73110&key=user_uploads/602008/f0eb07b3-1568-4242-ada8-5eb4ba86727a)\n\n👉 [Click here to see the product demo video](https://www.youtube.com/watch?v=bwq7JRfTP9U)\n\n### The Problem\n\nEngineering teams at large companies spend about 50% of their time on codebase maintenance including migrations and upgrades. Even worse, many organizations are so far behind on modernizing their technology stacks that they have become paralyzed and unable to move forward.\n\n### Our Vision and Mission\n\nHere at Second, we see a future where all engineering grunt work tasks are automated, giving human engineers more space to innovate and create new software. We are on a mission to realize this future by first automating migrations and upgrades for every codebase in the world.\n\n### How it Works\n\nUsers connect a Second Agent to their GitHub account, select a repository (or use one of our example templates), run a migration module, and get a pull request. It’s that easy!\n\nEach of our modules are hand-built to perform specific migrations, and serve as a high level blueprint or plan. Next, our agents run these modules by utilizing AI, codemods, and other techniques to perform directory restructuring and code changes. Our agents have proprietary codebase scanners, dependency resolvers, and much more. Every migration job is broken up into steps like this:\n\n![uploaded image](/media/?type=post&id=73110&key=user_uploads/602008/98660970-8e55-4483-a5e7-3ab4383fab52)\n\n### Why we are Relaunching\n\nSecond was in the last batch (W23), but we are relaunching because we have refocused our product on migrations and upgrades only, whereas previously we were focused on commodity web application feature creation. We made this change because it became crystal clear after hundreds of discovery conversations that codebase maintenance is a much bigger pain point for large companies. We are already working with three large enterprises and couldn’t be happier! 😄\n\n### Asks\n\n* We would love to hear your thoughts! Are there any migrations that our team can help you with? Please let us know! you can reach me directly at [eric@second.dev](mailto:eric@second.dev) 🙏\n* Try out Second by going to [www.second.dev](http://www.second.dev). You can use Second for free on repositories up to 1MB, or upgrade to Pro for bigger codebases.\n* 👉 Join the conversation on the Second Community Discord – <https://www.discord.gg/ZhYUEjsW3Z>",
        "url": "https://www.ycombinator.com/launches/J1C-second-the-world-s-first-fully-automated-codebase-migration-platform",
        "votes": 132,
        "created_at": "2023-07-16T23:54:01.144Z"
      },
      {
        "id": 69533,
        "title": "👥 Second – The second developer bot you've always wanted",
        "tagline": "Bots that set up web applications, add features, and keep projects up to date",
        "body": "TL;DR: Instead of hiring a second developer, use a bot to handle developer grunt work and common features so that your human developers can work on more important things.\n\nHi there! My name is Eric Rowell. I’m the founder and CEO of Second, which provides bots that can set up web applications, add common features, and keep projects up to date.\n\n👉 [Click here to see the product demo video](https://www.youtube.com/watch?v=IR9JUxznEC0)\n\n### The Problem\n\nLet’s face it. No developer wakes up in the morning and thinks to themselves “Gosh, I can’t wait to build yet another login and user registration flow!”. Or “You know what, I’m really excited to migrate MUI from version 4 to 5!”.\n\nBoilerplates? They suck. You spend hours searching for something that’s close to what you want, and then days hacking at it to get it into shape. After the dust settles, you’ll eventually wonder if it was even worth it.\n\nThe overarching theme here is that developers are spending way too much time building commodity features and doing grunt work. This reduces their overall happiness (no, really!) and it slows down product delivery. What if bots could handle the common stuff?\n\n### The Solution\n\nSecond provides bots that specialize in commodity feature development, like authentication, login screens, user registration, subscription billing, dashboards, navigation, forgot password flows, CRUD forms, etc., and also provides bots that can do more sophisticated things like upgrade libraries or frameworks. Best of all, this value is delivered as well written source code in the form of Git pull requests! No abstractions, DSLs, or other weird stuff to learn.\n\nHow is this possible? Users install Second Bot on their GitHub account. These bots operate in the cloud, and use a custom built codegen engine which writes out code files line by line, and will also utilize GPT-3 for special scenarios like code injection and merge conflict resolution.\n\n![uploaded image](/media/?type=post&id=69533&key=user_uploads/602008/c04a0a9f-f829-4c75-99bc-dc35995ca66d)\n\n![uploaded image](/media/?type=post&id=69533&key=user_uploads/602008/f71c9851-8e34-4d22-9730-ad004c787510)\n\n![uploaded image](/media/?type=post&id=69533&key=user_uploads/602008/85589f57-a9f9-425c-a5fa-d84f29b678a6)\n\n### Backstory\n\nI’ve been building for the web for over a decade, including developing the Yahoo video player, architecting the LinkedIn homepage, and leading data visualization efforts at Workday. I’ve created several popular open source projects like KineticJS, BigOCheatSheet, and El Grapho. Most recently I was the co-founder and CTO of Uiflow (W21) which is a no-code platform for enterprise.\n\nWhile at Uiflow, I built a high-fidelity web authoring experience like Webflow and a custom-built visual language called Flowlang. Among many reasons, including the realization that modern approaches to no-code and low-code platforms for web application construction are still not viable, I made the difficult decision to leave Uiflow and start over.\n\nIn all of this time, I have seen how web application development has actually become more complex over time. I’ve seen all kinds of approaches to simplify the process, including an explosion of new libraries, frameworks, languages, DSLs, no-code tools, and low-code tools. After departing Uiflow and spending two months on discovery, the idea of Second began to emerge. What if bots could just write code and raise pull requests for the common stuff? Is that crazy? Well, yea. Let’s do it!\n\nTo my amazement, I was accepted back into YC for a second chance, based on nothing more than some insights and an idea!\n\n### My Ask\n\nMy ask is really simple! Sign up and try Second for free! ([www.second.dev](http://www.second.dev)). I would love to hear your thoughts. You can use the Quick Start to set up a Next.js + MUI web application fast!\n\nIf you want access to the Pro modules, please contact me and I can set that up for you!\n\n👉 You can find me on Twitter at <https://twitter.com/ericdrowell>\n\n👉 Or you can join the conversation on the Second Community Discord – <https://www.discord.gg/ZhYUEjsW3Z>",
        "url": "https://www.ycombinator.com/launches/I5V-second-the-second-developer-bot-you-ve-always-wanted",
        "votes": 49,
        "created_at": "2023-02-22T14:42:22.752Z"
      }
    ]
  },
  {
    "id": 30367,
    "name": "QFEX",
    "slug": "qfex",
    "former_names": [
      "PSEx",
      "PFEx",
      "Entimox",
      "QFEX",
      "QFEx"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ff2e678a3e0cc7ec945071e67d067023b3357bf4.png",
    "website": "https://qfex.com",
    "all_locations": "London, England, United Kingdom",
    "long_description": "QFEX is the 24/7 exchange for traditional financial markets.\r\n\r\nWe let you trade US equities, commodities and FX pairs with (or without) leverages of up to 100x. On QFEX, UX comes first: brokerless market access, seamless integration with traditional payment rails, and ultra-efficient Perpetual Futures offered over all asset classes. Trading has never been simpler, cheaper or fairer than with QFEX.\r\n\r\nFounded by Quants and Engineers from Citadel & Tower Research who saw an opportunity to make markets how they always should have been, QFEX will eventually replace the entire $100 billion exchange and clearing industry.",
    "one_liner": "24/7 Global Stock Exchange",
    "team_size": 14,
    "industry": "Fintech",
    "subindustry": "Fintech -> Banking and Exchange",
    "launched_at": 1747069734,
    "tags": [
      "Fintech",
      "Marketplace",
      "Trading"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Spring 2025",
    "status": "Active",
    "industries": [
      "Fintech",
      "Banking and Exchange"
    ],
    "regions": [
      "United Kingdom",
      "Europe"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/qfex",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/qfex.json",
    "year_founded": 2025,
    "city": "London",
    "country": "GB",
    "linkedin_url": "https://www.linkedin.com/company/qfex",
    "x_url": "https://x.com/qfex",
    "fb_url": "https://www.facebook.com/tradeqfex/",
    "cb_url": "https://www.crunchbase.com/organization/qfex",
    "github_url": "https://github.com/QFEX-org",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ff2e678a3e0cc7ec945071e67d067023b3357bf4.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [
      "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/57dfe4e062f27e2791073526579304626840f5cc.png",
      "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/b27f14c1d8b76dda0304895144a13b9f353e7663.png"
    ],
    "primary_partner": {
      "name": "Pete Koomen",
      "url": "https://www.ycombinator.com/people/pete-koomen"
    },
    "founders": [
      {
        "user_id": 2318196,
        "full_name": "Annanay Kapila",
        "title": "Founder/CEO",
        "founder_bio": "Annanay is Founder and CEO of QFEX. He met his co-founder Joshua at Cambridge, where he studied Maths and conducted Quantum Computing research. Since then, he has worked as a Quantitative Trader at Flow Traders and Tower Research Capital in London, and is now building QFEX as the exchange he always wish he had to trade on.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/annanay-kapila/",
        "x_url": "https://x.com/annanay",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/44f2f9bd0d9943aa2aa4fd4c3a4561735abce17b.jpg"
      },
      {
        "user_id": 115491,
        "full_name": "Joshua Wharton",
        "title": "Founder/CTO",
        "founder_bio": "Founder & CTO at QFEX",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/joshua-wharton/",
        "x_url": "https://x.com/joshuawharton",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0c4fe96a6de95fe4b5449b1193927210222778b7.jpg"
      }
    ],
    "jobs": [
      {
        "id": 76806,
        "title": "Research Engineer",
        "url": "https://www.ycombinator.com/companies/qfex/jobs/S7XSybx-research-engineer",
        "location": "London, England, GB",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$150K - $250K",
        "equity_range": "0.10% - 0.50%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 88980,
        "title": "Backend Engineer",
        "url": "https://www.ycombinator.com/companies/qfex/jobs/2j9OMID-backend-engineer",
        "location": "London, England, GB / New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$100K - $200K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 90317,
        "title": "QFEX - The Global 24/7 Stock Exchange",
        "tagline": "Direct, 24/7, leveraged trading on US equities, commodities and FX.",
        "body": "Hello World! We’re [Annanay](https://www.linkedin.com/in/annanay-kapila/) and [Joshua](https://www.linkedin.com/in/joshua-wharton/), and we’re building [QFEX](http://www.qfex.com/): a global, 24/7 stock exchange.\n\n#### **What We’ve Built**\n\nTrillions of dollars change hands every day in the global financial markets, but the pace of innovation is excruciatingly slow. As of 2025, you still can’t:\n\n* Trade directly on an exchange **without a broker** (unless you’re as big as Jane Street).\n* **Trade 24/7**.\n* Get **&gt;20x leverage** or avoid margin fees.\n* Trade leveraged US stocks without **worrying about options**.\n\nWe’re changing this.\n\nWe’ve built an exchange that provides all of the above, packaged into a sleek, **direct-to-market** interface with one-of-a-kind purely **volume-based fees**. Bye-bye Robinhood selling your orders for Citadel to front-run. Adios to the Interactive Brokers GUI. Hello to markets as they _should_ **be**.\n\nhttps://www.tella.tv/video/joshuas-video-1m32\n\nhttps://www.tella.tv/video/joshuas-video-32cb\n\n#### **Call To Action**\n\nQFEX is currently running in a closed beta with a white-glove service to match user enthusiasm. To get earlier access: \n\n* **Sign up** to our [waitlist](https://app.qfex.com/login) to get invited!\n* Follow us on socials to make sure you don’t miss out on any early access perks! [Reddit](https://www.reddit.com/user/TradeQFEX/) [Twitter](https://x.com/TradeQFEX) [Facebook](https://www.facebook.com/tradeqfex) [LinkedIn](https://www.linkedin.com/company/entimox/)\n* [API](https://docs.qfex.com/) traders - welcome to the first API-native exchange! Reach out [here](mailto:hello@pfex.com) to schedule onboarding.\n* Share this post with anyone interested in trading, exchanges or crypto! \n\n#### **The Team**\n\nWe met at Cambridge studying Maths in 2016, and the rest is history. Working as Quants and Engineers at Tower Research and Citadel before YC, we spent a year trying to figure out why crypto exchanges can solve all of the above, but traditional exchanges can’t. We still haven’t found a convincing answer.\n\n#### **PS - For the Crypto/ Finance Bros**\n\nTaking a leaf out of the crypto world, [QFEX](http://www.qfex.com/) is listing Perpetual Futures in traditional assets, making it the first exchange to do so. Futures haven’t changed since the first standardized contract was made in 1865 to help farmers hedge their corn harvests. Now S&P500 futures trade $500 billion daily, but it still expires in time for the harvest. Why?\n\n[QFEX](http://www.qfex.com/) will save institutional traders billions of dollars in rolling costs, operational headache, and deeper liquidity from an unfragmented market - just like perps did for crypto. \n\n![uploaded image](/media/?type=post&id=90317&key=user_uploads/2318196/a0937f2e-75a9-4aeb-89fb-4152ad0abac7)\n\n",
        "url": "https://www.ycombinator.com/launches/NUj-qfex-the-global-24-7-stock-exchange",
        "votes": 182,
        "created_at": "2025-05-12T20:42:26.458Z"
      }
    ]
  },
  {
    "id": 30384,
    "name": "Chestnut",
    "slug": "chestnut",
    "former_names": [
      "Detta"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4dd28657c6905e0ff5663b74202f4b3352633204.png",
    "website": "https://chestnutmortgage.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Chestnut is the first AI mortgage lender. We automate 99% of human work with AI agents, saving customers 0.5%+ in interest. This is Spencer's second mortgage startup; the first processes 2% of US mortgages annually. So far, Chestnut is licensed in Texas and Colorado where we power purchases, refinances, cash-outs, and more.",
    "one_liner": "The first AI mortgage lender",
    "team_size": 2,
    "industry": "Fintech",
    "subindustry": "Fintech -> Credit and Lending",
    "launched_at": 1747766524,
    "tags": [
      "Fintech",
      "Real Estate",
      "Consumer",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Spring 2025",
    "status": "Active",
    "industries": [
      "Fintech",
      "Credit and Lending"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/chestnut",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/chestnut.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/chestnutmortgage",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4dd28657c6905e0ff5663b74202f4b3352633204.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
    },
    "founders": [
      {
        "user_id": 285403,
        "full_name": "Spencer Brown",
        "title": "Founder/CEO",
        "founder_bio": "Repeat founder building the first AI mortgage lender. My last startup built a system of record for mortgage lending that powered 2% of US mortgages annually. During that time, I saw firsthand how inefficient traditional lenders are – and realized I should compete with them directly. I started coding at age 12, founded my first company at 16, and was an early engineer at six other seed- and A-stage startups.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/spencercbrown",
        "x_url": "https://x.com/spencerbrownx",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f1aadccbfd15343627b9880cf751d0d424799fef.jpg"
      }
    ],
    "jobs": [
      {
        "id": 83364,
        "title": "Software Engineer",
        "url": "https://www.ycombinator.com/companies/chestnut/jobs/GGNEow8-software-engineer",
        "location": "San Francisco, CA",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$100K - $200K",
        "equity_range": "0.50% - 3.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "TypeScript"
        ]
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 90630,
        "title": "Chestnut, the first AI mortgage lender",
        "tagline": "Save 0.5%+ in interest with the first AI mortgage lender",
        "body": "tl;dr **-** Chestnut is building **the first AI mortgage lende**r. Our AI agents help people **save 0.5%+ on their rate**.\n\nhttps://www.youtube.com/watch?v=M7ay1fshd-w\n\n—\n\n# 👋 Howdy\n\nI’m Spencer, the founder of Chestnut — **the first AI mortgage lender**. My last startup built a mortgage “Loan Origination System” (system of record + workflow tool used daily by 80% of lender employees) that powered 2% of US mortgages annually. During that time, I saw firsthand how inefficient traditional lenders are — and realized I should compete with them directly.\n\n# **🤨** Isn’t the mortgage process already automated?\n\nFar from it. Today, 80% of employees at traditional lenders **spend** **hours each day** filling out paper forms, manually reviewing documents, and copy-pasting data between systems. These manual processes cost lenders – and ultimately their borrowers – $12,000+ per loan ($61B+ per year).\n\n# **😲** What’s next?\n\nAI can automate 99% of mortgage operations, but **traditional lenders would take 10+ years** to adapt. They’d have to overhaul their entire tech stack, rewrite every procedure, and retrain their whole workforce.\n\n# ➡️ Enter Chestnut\n\nChestnut is **vertically integrating AI** to challenge traditional lenders directly. Besides Ashley, our AI loan officer assistant, we’ve also built agents that:\n\n1. **Find the best deals** by shopping rates across 100+ lenders (since we’re starting with brokering),\n2. **Cut borrowing costs** by automating the origination process, and\n3. **Notify clients** when rates drop.\n\nSo far, we’re licensed in Texas and Colorado where we’re helping clients with new home purchases, refinances, home equity loans, and home equity lines of credit.\n\n# 🤑 Ready to save?\n\nIf you’re exploring mortgage options in Texas or Colorado, **head over to [our website](https://chestnutmortgage.com?utm_source=launch-yc&utm_medium=cta-link&utm_campaign=launch-yc)** where you can get an instant quote and compare our rates to other lenders!\n\n—\n\nCheers!\n\n![uploaded image](/media/?type=post&id=90630&key=user_uploads/285403/adefaf94-0d5d-4bad-aafc-788d26e493ee)\n\n",
        "url": "https://www.ycombinator.com/launches/NZm-chestnut-the-first-ai-mortgage-lender",
        "votes": 111,
        "created_at": "2025-05-22T17:11:21.534Z"
      }
    ]
  },
  {
    "id": 30400,
    "name": "Plexe",
    "slug": "plexe",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4911874a37ff01bfa27bb33e5f83f49e6970068e.png",
    "website": "https://plexe.ai",
    "all_locations": "London, England, United Kingdom",
    "long_description": "Plexe builds predictive ML models from a problem description. It connects to data sources, conducts experiments, evaluates and deploys the models to an API endpoint.",
    "one_liner": "Open-source agents to build predictive ML models from a prompt",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1745031118,
    "tags": [
      "Machine Learning",
      "Data Science",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Spring 2025",
    "status": "Active",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "regions": [
      "United Kingdom",
      "Europe"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/plexe",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/plexe.json",
    "year_founded": 2025,
    "city": "London",
    "country": "GB",
    "linkedin_url": "https://www.linkedin.com/company/plexe-ai/",
    "x_url": "https://x.com/PlexeAI",
    "fb_url": null,
    "cb_url": null,
    "github_url": "https://github.com/plexe-ai/",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4911874a37ff01bfa27bb33e5f83f49e6970068e.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
    },
    "founders": [
      {
        "user_id": 2260416,
        "full_name": "Vaibhav Dubey",
        "title": "Founder/CEO",
        "founder_bio": "I make AI create AI.",
        "is_active": true,
        "linkedin_url": null,
        "x_url": "https://x.com/VaibhavMDubey",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3ef2a9cbf97215a02c0cd71bfe9793e95f7182c3.jpg"
      }
    ],
    "jobs": [
      {
        "id": 78821,
        "title": "Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/plexe/jobs/eocGfXv-forward-deployed-engineer",
        "location": "IN / Remote (IN)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "₹1.5M - ₹3M INR",
        "equity_range": "0.01% - 0.03%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "10 Most Exciting AI Agent Startups at YC Demo Day Spring Cohort 2025 - Business Insider",
        "url": "https://www.businessinsider.com/y-combinator-yc-demo-day-spring-ai-agent-startups-2025-6",
        "date": "Jun 11, 2025"
      }
    ],
    "launches": [
      {
        "id": 90589,
        "title": "Plexe - Build ML models from a prompt",
        "tagline": "Plexe is an open-source agent that turns natural language task descriptions into trained machine learning models.",
        "body": "We’re Vaibhav and Marcello. We’re building Plexe, an open-source agent that turns natural language task descriptions into trained ML models.\n\nhttps://youtu.be/CwNX0aU9MsE\n\n## **🤔 1. Problem**\n\nLots of great use cases for ML models in businesses never materialize because ML projects are messy and convoluted. You spend months finding the data, cleaning it, experimenting with models and deploying them to production, only to find out that the project has been binned due to taking so long. At a previous employer, we witnessed a team of 10 ML engineers spend 2 years and $3M building models for a project that never saw the light of day. \n\nThere are several tools for “automating” ML, but it still takes teams of ML experts to actually productionize something of value. And we can’t keep throwing LLMs at every ML problem. Why use a generic 10B parameter language model, if a logistic regression trained on your data could do the job better?\n\n## **✅ 2. Solution**\n\nStep 1: Connect your data sources\\\nStep 2: Describe your problem statement\\\nStep 3: Use the deployed model via API\n\nhttps://youtu.be/zByvH0wTSuE\n\n## **🚀 3. How does it work?**\n\nPlexe uses a self-correcting team of ML engineering agents to research, experiment, evaluate, refine, and deploy the best performing model over an API endpoint. It connects to data sources, discovering relevant fields, and autonomously building the model. Think of it like your own ML helper helping you go from idea to deployed models 10x faster.\n\nhttps://youtu.be/bUwCSglhcXY\n\n## **👋 4. Team**\n\n[Vaibhav Dubey](https://bookface.ycombinator.com/user/2260416) (ex-Proofpoint, Expedia, Imperial College London) and [Marcello De Bernardi](https://bookface.ycombinator.com/user/2337737) (ex-AWS, Expedia, Oxford) met 6 years ago while building a chatbot that served 9+ million customers of a large bank. Since then, they’ve built enterprise-scale ML solutions that serve billions of predictions per day for millions of users worldwide.\n\n![uploaded image](/media/?type=post&id=90589&key=user_uploads/2260416/4e5a0513-e013-4adc-9520-ebde07c44981)\n\n## **🙏 5. Our ask**\n\n* We’d love to get in touch with any companies that have a lot of data but have not been able to build ML features on top of them!\n* If you’re an individual who believes that the future of ML development is autonomous and open source, check out our agent: https://github.com/plexe-ai/plexe\n\nGet in touch with us: [founders@plexe.ai](mailto:founders@plexe.ai) ",
        "url": "https://www.ycombinator.com/launches/NZ7-plexe-build-ml-models-from-a-prompt",
        "votes": 67,
        "created_at": "2025-05-21T01:44:48.117Z"
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    "name": "Aravolta",
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    "website": "https://www.aravolta.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Aravolta provides a single pane of glass software for data centers to increase uptime, reduce costs, and improve performance.\r\n\r\nA single utility node onboards every asset within an hour and detects hardware failures, hotspots, and other issues.\r\n\r\nIt also generates reports on important metrics like Power Usage Effectiveness (PUE), energy metering, resource utilization, and much more. ",
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    "team_size": 4,
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    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1746569409,
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        "full_name": "Margarita Groisman",
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        "founder_bio": "Worked on data center deployments at Microsoft, now my company Aravolta builds software for data centers. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/margarita-groisman/",
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        "location": "San Francisco, CA, US / Remote (US)",
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        "url": "https://www.ycombinator.com/companies/aravolta/jobs/xNqAuCd-intern",
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        "url": "https://www.ycombinator.com/companies/aravolta/jobs/F5owCzV-forward-deployed-engineer",
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        "url": "https://www.ycombinator.com/companies/aravolta/jobs/ySYYxBA-sales-development-representative",
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    "website": "https://getnao.io/",
    "all_locations": "Paris, Île-de-France, France",
    "long_description": "nao is an open source framework to build and deploy analytics agent.\r\nCreate the context of your analytics agent with nao-core cli: data, metadata, modeling, rules, etc. Deploy a UI for anyone to chat with your agent and run analytics on your data.",
    "one_liner": "Open Source Analytics Agent",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Analytics",
    "launched_at": 1744958361,
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    "status": "Active",
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        "full_name": "Claire Gouze",
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        "founder_bio": "⚡️ Building the context layer for analytics agents\n📊 Previously head of data at sunday - $100M Series A\n👩🏻‍💻 Business school graduate self-taught in data sciences - started as a Data Scientist at BCG Gamma",
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        "full_name": "Christophe Blefari",
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        "founder_bio": "Built data tools, platforms and teams for more than 10 companies (scale-ups and French gov). I write about data stuff on blef.fr and LinkedIn (20k+ followers).",
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        "url": "https://www.ycombinator.com/companies/nao-labs/jobs/Cgv7KB0-gtm-intern",
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      {
        "id": 90397,
        "title": "nao Labs - Cursor for data",
        "tagline": "AI code editor to write code on your data — and trust the output.",
        "body": "**🥷 Manifesto**\n\nData teams have been left out of the vibe coding party. We’re building nao so they can **data vibe** too.\n\n**🏎 TL;DR**\n\nnao is an **AI code editor to write code on data**: a local editor, connected to your data warehouse, with an AI copilot that has context of both your data schema and codebase.\\\nIt’s built specifically for data workflows - helping teams write faster, better code, while being ensured of the data quality.\n\n![uploaded image](/media/?type=post&id=90397&key=user_uploads/1535815/f9051a44-1d1e-41a0-b995-e6bcb94a4c31)\n\n**🧑‍💻 Who is it for?**\n\n* **Data teams** who run analytics with SQL and build dbt or Python pipelines\n* **Software developers** who manage SQL databases\n\n**🤖 What can you do with nao?**\n\nYou can prompt nao **AI agent** to:\n\n* **Create SQL queries & dbt models** from your data warehouse tables\n* Add **documentation & testing** to your data\n* **Refactor** your codebase through your **lineage**\n* Perform **data quality checks**, **data diff** tests\n* Run **conversational analytics**\n\n**nao AI tab auto-suggests code for your data** — only with tables, columns and data that actually exist in your warehouse.\n\n![uploaded image](/media/?type=post&id=90397&key=user_uploads/1535815/08d1f6f0-b247-4887-b179-c0f5f2cd8405)\n\n**🔆 Why we built it**\n\nChristophe and Claire have each spent 10 years in data. We’ve seen that data teams can’t keep the business pace because making changes in data requires too many tools and tests.\\\nCurrent AI code editors don’t interact natively with data warehouses — they autocomplete SQL blindly, not knowing your data schema. We built nao so that data teams can ship at business pace, with an AI code editor that has all their context.\n\n**👀 Watch it live**\n\n[https://www.youtube.com/watch?v=QmG6X-5ftZU](https://www.youtube.com/watch?v=QmG6X-5ftZU&ab_channel=ClaireGouze)\n\n**👋🏻 Our ask**\n\nWant to write code on your data faster?\n\n* **Download** and test nao here: [**https://getnao.io/**](https://getnao.io/**)\n* **Contact us** for team plans: [claire@getnao.io](mailto:claire@getnao.io)",
        "url": "https://www.ycombinator.com/launches/NW1-nao-labs-cursor-for-data",
        "votes": 63,
        "created_at": "2025-05-14T17:27:09.437Z"
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    "id": 30408,
    "name": "Autostep",
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    "website": "https://autostep.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Autostep maps how work happens across a company for humans and agents, finds repetitive tasks and bottlenecks, and ranks them by cost and impact. Then it fixes them by building agents inside existing tools, changing the process, or finding the right software.\r\n",
    "one_liner": "The P&L for knowledge work",
    "team_size": 1,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1772173697,
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    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
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    "regions": [
      "United States of America",
      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/autostep",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/autostep.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/autostep-ai/",
    "x_url": "https://x.com/aidan__pratt",
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      "name": "David Lieb",
      "url": "https://www.ycombinator.com/people/david-lieb"
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        "user_id": 403669,
        "full_name": "Aidan Pratt 🥑",
        "title": "Founder/CEO",
        "founder_bio": "Aidan is the founder and CEO of Autostep. He studied Machine Learning and Computer Science at Georgia Tech and has been building and shipping products since he was a kid - hardware hacks, developer tools, AI agents - with dozens of projects launched along the way. Aidan has worked at seed to Series A startups with strong PMF. aidanpratt.com",
        "is_active": true,
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        "id": 105945,
        "title": "Founding Engineer, ML + Forward Deployment",
        "url": "https://www.ycombinator.com/companies/autostep/jobs/7XJCOTX-founding-engineer-ml-forward-deployment",
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      },
      {
        "id": 105946,
        "title": "Founding GTM/SDR",
        "url": "https://www.ycombinator.com/companies/autostep/jobs/ySZUtf3-founding-gtm-sdr",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Operations",
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      {
        "id": 103675,
        "title": "Autostep: Measure the ROI of Knowledge Work",
        "tagline": "Autostep: Measure Human and Agent ROI",
        "body": "I'm Aidan, founder of Autostep. We are raising to enable the P&amp;L of knowledge work (link below).\n\n\\\nMost companies can tell you what they spend on AI. Almost none can tell you what came back. \n\nAutostep is a desktop app that installs across a company and maps real work. It finds repeated tasks, bottlenecks, waiting, and admin loops, then ranks them by cost and impact.\n\n\\\nFrom there, Autostep helps decide what should happen next: build an agent, change the process, standardize the workflow, or use software the company already pays for.\n\n\\\nProduct video: <https://youtu.be/xxzvZKfVdKM>\n\nThe problem we are solving:\n\n* The blocker for AI adoption is proof and discovery. Before rollout, teams need the workflow to target and the capacity returned after the fix.\n* They still struggle to answer the board-level question: Did this return results? Autostep answers that from the work itself.\n\n\\\nHow it works:\n\n1. Install once across the org. No integrations\n2. Discover the cost of human &amp; agent tasks.\n3. Measure Human ROI: where people lose time and how much capacity can come back.\n4. Measure Agent ROI: which AI workflows earn their cost and which burn money.\n5. Act: remove the step, standardize it, route it to the right tool, or build the agent.\n\nThe long-term bet is that Autostep becomes the system of record for work: the layer a company uses to see capacity, measure AI payoff, and eventually pay people for working smarter. This is different than automating a bad process faster.\n\n\\\nWe are already working with companies that have the same pain: leaders want AI to work, and operators need the scorecard before they add one more workflow to manage.\n\n\\\nOur ask:\n\n* If you know a COO, CFO, ops leader, or founder trying to prove whether AI is paying back, we would love an intro.\n* If you build agents or workflow automation products, let's talk. Autostep finds the work and can route teams to the right fix.\n* If you are an angel who believes every company will need an AI ROI layer, Aidan would love to compare notes.\n\nBook a demo: <https://calendly.com/aidan_/autostep>\n\nInvestors: <https://calendly.com/aidan_/p26>\n\nExample human tasks:\n\n![uploaded image](/media/?type=post&id=103675&key=user_uploads/403669/efe32ee3-91a7-4339-84a7-824e776fa5a7)\n\nRecommendations:\n\n![uploaded image](/media/?type=post&id=103675&key=user_uploads/403669/1c03b4d2-5676-4caf-af57-5ebbaac1a3c4)\n\n",
        "url": "https://www.ycombinator.com/launches/QyB-autostep-measure-the-roi-of-knowledge-work",
        "votes": 5,
        "created_at": "2026-06-23T03:54:52.673Z"
      },
      {
        "id": 98260,
        "title": "Autostep - Uncover Repetitive Tasks Ready For AI",
        "tagline": "Welcome to Autostep - Uncover Your Repetitive Tasks Ready For AI and Automate Them",
        "body": "Hey YC - I'm Aidan, founder of Autostep.\n\n**TLDR:** Every company wants to deploy AI agents, but almost none have a way to identify their best use cases. Autostep is a desktop app that installs across your organization to surface repetitive, high-cost tasks that fly under the radar. We rank them by cost and impact so you know what's worth automating, then build or find the right fix - whether that's an AI agent, a process change, or an existing tool.\n\n**Product:** <https://www.youtube.com/watch?v=zLn5WvoYtCk>\n\n**The Problem**\n\nThe bottleneck isn't tooling anymore, it's discovery. Without visibility into what people actually do all day, automation efforts are shots in the dark. Autostep is the layer that makes agent deployment rational instead of random.\n\nAutomation vendors start with the solution and hope you know the problem. We start with the problem.\n\n**Why Now**\n\nThe AI agent market is exploding, but adoption is stalling because there's no way to map operations at the level agents actually need. Autostep is the operational intelligence layer that every company will need before they can meaningfully deploy agents. We're not competing with agent builders - we're the prerequisite.\n\n**Compounding Context**\n\nThe tooling landscape shifts every month - new agents, new platforms, new vendors - and no team feels like they can keep up. Autostep gives you a living map of your operations, so you're not chasing the next tool. You're building compounding context about how your company actually works. When better AI arrives, you're ready to use the latest - not starting over. You stay ahead of competitors.\n\nThis is for those who want visibility into what their teams actually do - and agents that fit the work, not work that fits the agents.\n\n**Backstory**\n\nI’m Aidan. I studied ML and CS at Georgia Tech and have been building and shipping products since I was a kid. I’ve also spent the past 6 years working on automation-based products that led to this moment. Working at seed to Series A startups with strong PMF, I saw the same pattern over and over: companies wanted to automate but had no systematic way to figure out what was actually worth automating. That discovery gap is what Autostep solves.\n\n**Our Ask**\n\nIf you know any operations leaders or C-suite/leadership at companies who want visibility into what their teams are actually doing before throwing AI at the problem - we'd love an intro.\n\n**Book a demo: [https://calendly.com/aidan\\_/autostep](https://calendly.com/aidan_/autostep)**\n\nReach me, shoot an intro, or ask questions: 📧 [aidan@autostep.ai](mailto:aidan@autostep.ai)\n\nP.S.\n\n**Landing page (Just updated)**\n\n![uploaded image](/media/?type=post&id=98260&key=user_uploads/403669/2cafa97a-22cb-475d-9d2d-b9d275fd4206)\n\n**Tasks**\n\n![uploaded image](/media/?type=post&id=98260&key=user_uploads/403669/abdeeff0-e4ee-48a8-82e2-c1e2724d11c3)\n\n**Recommendations**\n\n![uploaded image](/media/?type=post&id=98260&key=user_uploads/403669/2f117d23-2aaa-4f5e-bdd8-7d6a4f1dd7e6)\n\nLooking forward to making everyone auto-agentic,\n\n\\-A",
        "url": "https://www.ycombinator.com/launches/PYq-autostep-uncover-repetitive-tasks-ready-for-ai",
        "votes": 33,
        "created_at": "2026-02-27T15:57:49.783Z"
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    "name": "cubic",
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    "long_description": "Code review is a major bottleneck for software teams, and the rise of AI-generated code is making the problem worse. Reviewing large volumes of code slows devs down, and increases the chances of bugs slipping through.\r\n\r\nThat's why we're building cubic: an intelligent code review platform that helps devs merge PRs 28% faster.\r\n\r\nHow? \r\n- When you open a PR, cubic automatically reviews it. It learns from your codebase's patterns, points out bugs, suggesting fixes, and frees you from low-level review tasks.\r\n- You then jump into the cubic platform, which is designed to optimize how humans review code. For example, file changes are organized in a logical order instead of alphabetical, and cubic generates diagrams of architecture changes.",
    "one_liner": "AI-powered code review platform",
    "team_size": 6,
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    "year_founded": 2025,
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    "country": "GB",
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      "name": "Nicolas Dessaigne",
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        "full_name": "Paul Sanglé-Ferrière",
        "title": "Founder/CEO",
        "founder_bio": "3x founder, previously an ML engineer and a product manager at Tessian. ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/paulsf",
        "x_url": "https://x.com/NeuralPaul",
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        "id": 77373,
        "title": "Founding Product Engineer @ cubic (YC X25) ",
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        "role_type": "Full stack",
        "salary_range": "£70K - £120K GBP",
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      {
        "id": 90581,
        "title": "cubic – Cursor for code review",
        "tagline": "cubic helps teams like cal.com and n8n ship 28% faster",
        "body": "**🎯 TL;DR**\n\ncubic is an AI-powered code review platform that automatically reviews PRs and gives human reviewers superpowers.\n\nIt helps teams like [**cal.com**](http://cal.com), **n8n**, and the **Linux Foundation** ship code 28% faster.\n\nhttps://youtu.be/7bzIJYy0Nfw\n\nHey! 👋 We’re Allis and Paul – founders of cubic.\n\nWe’re building cubic – an AI code review platform to help teams ship code faster with fewer bugs.\n\n[🚀 See it in action for cal.com here](https://github.com/calcom/cal.com/pull/20771)\n\n🎁 **Launch deal**\n\nIf you’re a developer, and you feel like code reviews are slowing you down + bugs slip through, give cubic a try.\n\nIt’s free for 2 weeks, and you’ll get an extra 30% off for 2 months with the code: _YCLAUNCH_\n\n[**Just sign up with your Github account to get started!**](http://cubic.dev/home)\n\n**⭐️ Why did we start cubic?**\n\nWe’re engineers who faced this problem when we worked together in the past. As we adopted more AI code gen tools, code review and ensuring quality quickly became our biggest bottleneck.\n\nWe had more PRs to review, subtle AI-written bugs slipped in, and we (humans) found ourselves rubber-stamping PRs without deeply understanding the changes.\n\n**👷 We’re building cubic to help solve that. Here’s how it works:**\n\n1. Connect your GitHub repo via our Github app in two clicks\n2. AI review: When you open a PR, our AI reviews your changes directly in a secure container. It has context into not just that PR, but your whole codebase, so it can pick up patterns and leave comments directly on changed lines. Once the review is done, the sandbox is torn down and your code deleted.\n3. Human-friendly review workflow: Jump into our web (or desktop) app (it’s like Linear but for PRs). Changes are grouped logically (not alphabetically), with important diffs highlighted, visualized, and ready for faster human review.\n\n💻 The AI reviewer works a bit like Cursor in the sense that it navigates your codebase using the same tools a developer would—like jumping to definitions or grepping through code.\n\n⚡️ The platform itself focuses entirely on making _human_ code reviews easier. A big inspiration came from productivity-focused apps like Linear or Superhuman, products that show just how much thoughtful design can impact everyday workflows. We wanted to bring that same feeling to code review.\n\nThat’s one reason we built a desktop app. It allowed us to deliver a more polished experience, complete with keyboard shortcuts and a snappy interface.\n\nWe think the future of coding isn’t about AI replacing humans—it’s about giving us better tools to quickly understand high-level changes, abstracting more and more of the code itself. As code volume continues to increase, this shift is going to become increasingly important.\n\n![uploaded image](/media/?type=post&id=90581&key=user_uploads/1453819/af22052f-6cbe-4cc6-863f-9dd72f10add5)\n\n",
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        "votes": 110,
        "created_at": "2025-05-21T13:07:32.512Z"
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    "long_description": "Bloom lets you vibe code cross-platform apps and test them on your phone natively in seconds. Unlike other vibe code tools, Bloom deploys a backend for you, so you can build functional MVPs and personal apps, not just toys.\r\n\r\nhttps://youtu.be/oeJCk_nwDZg",
    "one_liner": "Build and share mobile apps in seconds",
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    "year_founded": 2025,
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    "linkedin_url": "https://www.linkedin.com/company/bloomlabs-inc/",
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      "name": "David Lieb",
      "url": "https://www.ycombinator.com/people/david-lieb"
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    "founders": [
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        "full_name": "David Oort Alonso",
        "title": "Founder/CEO",
        "founder_bio": "Building Bloom",
        "is_active": true,
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        "full_name": "Sirian Maathuis",
        "title": "Founder",
        "founder_bio": "Designer that also builds things. Now helping others do the same with Bloom.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/sirian-maathuis",
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        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/bloom-4/jobs/Tb6dGeS-founding-engineer",
        "location": "Zürich, ZH, CH / Remote",
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        "salary_range": "$150K - $250K",
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        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
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        "id": 81709,
        "title": "Founding Creator / Head of Production",
        "url": "https://www.ycombinator.com/companies/bloom-4/jobs/RXwEe99-founding-creator-head-of-production",
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        "title": "AI Engineering Student Internship (Winter or Summer 2026)",
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        "title": "Founding Growth Engineer",
        "url": "https://www.ycombinator.com/companies/bloom-4/jobs/jqNUNoX-founding-growth-engineer",
        "location": "Zürich, ZH, CH / Zürich, Zurich, CH",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$80K - $150K",
        "equity_range": "0.20% - 1.30%",
        "experience": "3+ years",
        "visa": "Will sponsor",
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      {
        "id": 90756,
        "title": "🌸 Bloom - the mobile app that builds mobile apps",
        "tagline": "Fastest way for non-technical people to build and share mobile apps",
        "body": "TL;DR: Bloom is the fastest way to **build and share native mobile apps**. No code, no backend infra, no App Store Developer account, no TestFlight, no XCode, no App Store reviews. Soon, you won’t even need a laptop ;)\n\nCheck out the future that Bloom enables 👇\n\nhttps://youtu.be/4dbwKmB2L3E\n\n### Goal 🚀\n\nOur mission is to democratize app development. We believe in a world where…\n\n* creators (designers, developers, entrepreneurs, kids, artists, etc.) can turn their ideas into working products in seconds\n* people build many of the apps they use every day and can change the experience whenever they feel like it, straight from their phone\n* companies can prototype mobile apps faster than ever before, going from design to putting it into the hands of users in minutes\n\n### User impressions 🤜 🤛\n\nOur early users call us the **Lovable for mobile apps**, and we agree! We don’t just build toys, but full-stack apps - instantly usable on any phone.\n\n![uploaded image](/media/?type=post&id=90756&key=user_uploads/1073860/1078121a-7577-4f3c-9ef6-9e08f09a5fc0)\n\n> This is phenomenal, I work all day on native app dev and never believed you could get something new and meaningful to work on anyone’s device so effortlessly. I just started making a tron light cycle game with haptics and it nearly one shot it - will finish it off tomorrow. Amazing job Sirian and David!\n\n> I started my dev journey building iOS apps with objective C and xcode. this is so damn cool and amazing\n\n> Currently struggling through using Swift for a mobile app maybe we need to switch to bloom…\n\n### Team 👋\n\nWe’re [**Sirian**](https://www.linkedin.com/in/sirian-maathuis/) and [**David**](https://www.linkedin.com/in/david-oort-alonso/) — we’ve worked together for 2 years and previously built award-winning consumer mobile apps, like [**Giftit**](https://www.giftit.social/), and turned down an acquisition offer for [**Fireview**](https://fireview.dev/) from a Series A YC startup to build Bloom.\n\n### Call to action (aka how to be AWESOME 😎)\n\n* Sign up for early access at [**app.diy**](http://app.diy) and build the idea you’ve been postponing\n* If you’re need to build or prototype mobile apps (iOS & Android) at your company, please book a 15min call so we can help: [https://cal.com/bloomlabs/intro-to-bloom](https://cal.com/bloomlabs/intro-to-bloom**)\n* Reach out with any feedback on [**Discord**](https://discord.gg/MEsnVQN8Jh) or [founders@bloom.diy](mailto:founders@bloom.diy)\n\n![uploaded image](/media/?type=post&id=90756&key=user_uploads/1073860/8a201d0b-ea4d-4618-bff2-d8e1e86caa23)\n\n",
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        "created_at": "2025-05-27T03:34:44.427Z"
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        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/cornelius-schramm-450759150/",
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        "founder_bio": "Bryan was previously a machine learning researcher at Cornell and a software engineer at Agentive (YC S23) where he built AI systems for auditors. He also led product consulting teams at EY, advising Fortune 500 clients on new product development and deployment.",
        "is_active": true,
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        "title": "Founding Software Engineer",
        "url": "https://www.ycombinator.com/companies/avallon-ai/jobs/CH8oqKV-founding-software-engineer",
        "location": "New York, NY, US",
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        "location": "New York, NY, US",
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        "id": 99953,
        "title": "Founding Account Executive",
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        "location": "New York, NY, US",
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        "id": 90754,
        "title": "Avallon – AI Agents for Insurance Claims Operations",
        "tagline": "Automate insurance claims operations with AI agents that handle routine calls and documents. ",
        "body": "**Tl;DR**\n\n**Insurance customer satisfaction is plummeting** as manual processing creates endless delays. Avallon automates back-office claims work for carriers and TPAs with AI agents that handle calls, documents, and data entry so adjusters can resolve cases faster.\n\nhttps://www.youtube.com/watch?v=pWBvyPugoFQ\n\n# **Insurance Claims Processing is Manual and Slow**\n\nInsurance adjusters are drowning in manual work to process claims. This creates delays, errors, and frustrated policyholders while burying adjusters in tedious work instead of decision-making. Adjusters face three major bottlenecks:\n\n* **Fragmented communication:** Adjusters spend hours fielding routine calls and emails to gather and relay claim information. Phone tag with claimants, vendors, and internal teams creates delays and frustration.\n* **Slow document review:** Sifting through unstructured documents, photos, and reports to validate evidence is time-intensive. Manual review of complex documentation slows case resolution.\n* **Tedious record keeping:** Converting notes and decisions into structured data for claims management systems requires constant manual data entry.\n\nAn aging workforce exacerbates these issues, creating a talent shortage as workloads grow. With median adjuster compensation already at $109k and razor-thin margins for carriers and TPAs, the economics of manual processing are unsustainable.\n\n# **Meet Avallon: Your Team of AI Claims Agents**\n\n![uploaded image](/media/?type=post&id=90754&key=user_uploads/1970255/9c370a61-6191-4f21-aa57-1c007b5cedfc)\n\nAvallon's AI agents plug directly into existing claims management systems and automate these tedious tasks, helping adjusters resolve cases more quickly. Our AI agents work autonomously to handle:\n\n* **Communication workflows:** Our agents handle routine calls and emails, gathering claim information while eliminating phone tag and keeping all parties updated.\n* **Document analysis:** Our AI instantly processes unstructured documents, photos, and reports, extracting key data points and validating coverage details in seconds.\n* **Data management:** Our agents automatically convert all findings into structured data and populate your claims management system, eliminating manual data entry and errors.\n\nAvallon’s intelligent agents turn claims management from reactive to proactive, helping adjusters make faster decisions, reduce errors, and deliver exceptional customer experiences.\n\n## **Team:**\n\nThe team met as grad students at Cornell studying computer science and operations research.\n\n* **Cornelius** had previously built the complete ops infrastructure to scale FINN US from 0 to $15M ARR as a founding engineer at the car subscription platform. There he saw firsthand how broken fleet claims processes are.\n* **Bryan** previously led product teams consulting for Fortune 500s at EY and conducted ML research at Cornell.\n* **Jet** studied quantitative trading algorithms, is a national champion policy debater, and taught debate at the Taipei American School.\n\nDuring a fall break hiking trip, the team brainstormed startup ideas until Avallon took shape. They shipped the first version around Christmas, landed their first customer weeks later, and dropped out to pursue the company full-time.\n\n## **Asks:**\n\nWe're excited to connect with:\n\n* **Insurance company executives and claims leaders** who want faster, smarter claim resolutions.\n* **Industry advisors and operators** passionate about digitizing and modernizing insurance processes.\n* **Journalists and thought leaders** interested in highlighting innovation and transformation within the insurance industry.\n\nIf you’re ready to streamline your claims operations with AI, email us at [founders@avallon.ai](mailto:founders@avallon.ai) or schedule a demo at [avallon.ai](http://avallon.ai).\n\nLet’s put AI to work to fix insurance.\n\n![uploaded image](/media/?type=post&id=90754&key=user_uploads/1970255/c4649a98-a29a-41fd-9d6d-b366d6b3fde4)\n\n",
        "url": "https://www.ycombinator.com/launches/Nbm-avallon-ai-agents-for-insurance-claims-operations",
        "votes": 35,
        "created_at": "2025-05-27T14:01:51.944Z"
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    "subindustry": "Industrials -> Aviation and Space",
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        "full_name": "Mehul Shah",
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        "full_name": "Matthew Noseworthy",
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        "founder_bio": "Childhood script kiddie, ECE Undergrad, Founded/Exited inspectAR, now CTO @ GoundControl ",
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        "id": 90406,
        "title": "GroundControl: Vertical AI for highly-regulated manufacturing",
        "tagline": "We automate lengthy, complex, and regulated quality documentation in aerospace manufacturing.",
        "body": "Hi! We’re [**Mehul Shah**](https://www.linkedin.com/in/mehulmshah22), [**Nick Warren**](https://www.linkedin.com/in/nickcw/), [**Matthew Noseworthy**](https://www.linkedin.com/in/matthew-noseworthy-218167106/) — co-founders of [**GroundControl**](https://rungroundcontrol.com/).\n\n[**https://youtu.be/s2heFLI1R80**](https://youtu.be/s2heFLI1R80)\n\n**TL;DR** — We've onboarded 70+ manufacturing facilities as customers throughout the US. Our core product automates lengthy, complex, and regulated quality documentation in aerospace manufacturing.\n\n**How We Started**\n\nNick and Matt co-founded their last startup (InspectAR) with Mehul's brother before being acquired by Cadence ($CDNS). I (Mehul) spent the last decade in my family business, where we built PCBs for every advanced system on Earth: rockets, satellites, aircraft, fighter jets, and more. We noticed despite building for innovation, manufacturing operations were antiquated and bogged down with manual processes.\n\nFirst Article Inspection Reports (AS9102s) were creating a bottleneck in quality. Parts would be built and ready to ship, just waiting on paperwork. Our facilities were doing 15 reports a day, 8 hours per report. The worst part? Even if the part was built exactly to spec — if a single typo was found by the customer, the report would get rejected and payment delayed until the report was fixed.\n\n**What We Built**\n\nOur core product automates first article inspection reporting for regulated manufacturing. Quality teams can balloon drawings and automate inspection report generation in minutes, instead of days.\n\n**Our Vision**\n\nToday, over 70 facilities across the US generate almost 1000 reports a month on our platform. This is just the beginning. We'll continue to build for quality, and upstream towards operations, engineering, and sales to empower manufacturers with AI. GroundControl will embed itself across the global supply chain, from Tier 4 suppliers to OEMs with vertically integrated manufacturing.\n\n**Our Ask**\n\nIf you know anyone in regulated manufacturing (aerospace, automotive, medical), or their customers (OEMs like Lockheed, SpaceX, Anduril, etc.) we would love to chat. Reach us at [**founders@gndctl.com**](mailto:founders@gndctl.com) or **408-390-4460**.\n\n![uploaded image](/media/?type=post&id=90406&key=user_uploads/1816593/5a76bc6a-30b2-49fb-9e27-43c222bcab9d)\n\n",
        "url": "https://www.ycombinator.com/launches/NWA-groundcontrol-vertical-ai-for-highly-regulated-manufacturing",
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    "long_description": "Give every agent a cloud desktop. Built for Claude Code, Codex, OpenClaw, and any computer-use agents.",
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    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/cua-ai",
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        "full_name": "Francesco Bonacci",
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        "founder_bio": "Give every agent a cloud desktop at Cua. Previously at Xbox, Microsoft AI.",
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        "title": "Research Intern (Summer 2026)",
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        "title": "c/ua - Docker Container for Computer-Use Agents",
        "tagline": "c/ua runs lightweight containers for Computer-Use AI Agents with your own language models.",
        "body": "### **📚 TL;DR**\n\n**c/ua** is an open-source framework that enables AI agents to control full operating systems within high-performance, lightweight virtual containers. It delivers up to **97% native CPU speed on Apple Silicon** and works with any language models: [**https://github.com/trycua/cua**](https://github.com/trycua/cua).\n\n<https://youtu.be/Ee9qf-13gho>\n\n### **⚒️ The Problem**\n\nFor **Computer-Use AI agents** to be genuinely useful, they must interact with your system's native applications. But giving full access to your host device is **risky** - and not ideal. What if the agent's process gets compromised, or the LLM hallucinates and leaks your data? And practically speaking, do you really want to **give up control** of your entire machine just so the agent can do its job?\n\n**In short: How can AI agents interact with operating systems, desktop applications, and browsers without jeopardizing security or sacrificing performance?**\n\n### **⭐ Solution: An end-to-end framework**\n\nWe combined **Apple's Virtualization.Framework** with an agent-friendly interface to create:\n\n\\- **Lightweight VMs**: Run at 97% of native CPU speed on Apple Silicon, giving you near-native performance in a secure, virtualized space.\n\n\\- **Sandboxed Execution**: AI agents operate in tightly controlled environments, allowing secure interaction with desktop applications - without risking your host system.\n\n\\- **LLM-Compatible Runtimes**: Works out-of-the-box with popular LLM providers like OpenAI, Anthropic, and open-source tools like Ollama, LM Studio, and OpenRouter.\n\nAnd we now support **MCP**! You can use Claude Desktop or Cursor, as your personal assistant to navigate even notoriously challenging apps like Tableau. Watch the demo to see it in action!\n\n[**https://youtu.be/NTUVU1aBs3c**](https://youtu.be/NTUVU1aBs3c)\n\n### **⚙️ How It Works**\n\n**c/ua** brings together three powerful components into one unified framework stack:\n\n1\\. **Lume** - Our high-performance Virtualization layer leverages Apple's Virtualization.Framework to spin up macOS or Linux environments.\n\n2\\. **Computer-Use Interface (CUI)** - This layer lets any process or AI agent - no matter which framework it's built on (like AutoGen, LangGraph, etc.) - see the screen and interact with Lume VMs just like a human would. It supports actions such as clicking, typing, scrolling, and extracting the visual accessibility tree.\n\n3\\. **Computer-Use Agent (CUA)** - Built on top of CUI, this general agent framework runs intelligent workflows within these VMs. It's compatible with popular LLM providers like OpenAI, Anthropic, as well as open-source tools like Ollama, LM Studio, and OpenRouter.\n\n![uploaded image](/media/?type=post&id=89628&key=user_uploads/1644303/c3e0e845-3223-4b82-85d1-316e41d9875c)\n\nAn AI agent built with **c/ua** operates within a virtual environment to:\n\n\\- Navigate and interact with any application's interface\n\n\\- Read screen content and perform keyboard/mouse actions\n\n\\- Switch between applications and self-debug when needed\n\n\\- Operate in a secure sandbox with controlled file access\n\nAll of this occurs in a fully isolated environment, ensuring your host system, files, and sensitive data remain completely secure - while you continue using your device without interruption.\n\n### **🖥️ What Can You Build with c/ua?**\n\n**c/ua** lets AI agents use real desktop apps - just like a human. For example:\n\n\\- **CAD Copilot**: Modify 3D models in tools like Fusion 360 or FreeCAD.\n\n\\- **Photoshop Assistant**: Crop, layer, and export assets via prompt.\n\n\\- **Operator for Tableau**: Navigate dashboards and filters with natural language.\n\n\\- **Legacy App Automator**: Control apps and websites with no APIs through UI actions.\n\n### **🤝 Our Asks:**\n\nIf you're done burning money on fragile browser automations or slow, over-engineered computer-use agents - it's time to try c/ua:\n\n* Book a call: <https://cal.com/francesco-bonacci/cua-demo>\n* Email us: [founders@trycua.com](mailto:founders@trycua.com)\n\nAlso don’t forget to:\n\n1\\. Leave us a star, watch and fork on GitHub: [**https://github.com/trycua/cua**](https://github.com/trycua/cua)\n\n2\\. Join our Discord [**https://discord.com/invite/mVnXXpdE85**](https://discord.com/invite/mVnXXpdE85) - we're building this together",
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    "team_size": 29,
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        "full_name": "Supreet Deshpande",
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        "id": 93710,
        "title": "Software Engineer - AI",
        "url": "https://www.ycombinator.com/companies/synthio-labs/jobs/Vd4zX2N-software-engineer-ai",
        "location": "IN / Remote (IN)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$15K - $25K",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizenship/visa not required",
        "skills": [
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          "Git",
          "Node.js",
          "PostgreSQL",
          "Python",
          "Docker"
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      },
      {
        "id": 95129,
        "title": "Forward Deployed Engineer - Product",
        "url": "https://www.ycombinator.com/companies/synthio-labs/jobs/lXwyZPN-forward-deployed-engineer-product",
        "location": "San Francisco, United States",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 95130,
        "title": "Forward Deployed Engineer - Tech",
        "url": "https://www.ycombinator.com/companies/synthio-labs/jobs/UMaZCqj-forward-deployed-engineer-tech",
        "location": "San Francisco, United States",
        "type": "Full-time",
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        "id": 95131,
        "title": "GTM / Growth Lead",
        "url": "https://www.ycombinator.com/companies/synthio-labs/jobs/cXIdJes-gtm-growth-lead",
        "location": "San Francisco, United States",
        "type": "Full-time",
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        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
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        "id": 95132,
        "title": "Other",
        "url": "https://www.ycombinator.com/companies/synthio-labs/jobs/WSQUWsn-other",
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        "type": "Full-time",
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        "role_type": null,
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        "id": 95133,
        "title": "Head of Business Development & Partnerships",
        "url": "https://www.ycombinator.com/companies/synthio-labs/jobs/evhFwmX-head-of-business-development-partnerships",
        "location": "San Francisco, United States",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
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    "news": [
      {
        "title": "Synthio Labs Bags $5 Mn To Provide Voice AI To Life Sciences Industry",
        "url": "https://inc42.com/buzz/synthio-labs-bags-5-mn-to-provide-voice-ai-to-life-sciences-industry/",
        "date": "Nov 19, 2025"
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    ],
    "launches": [
      {
        "id": 89991,
        "title": "SynthioLabs: World's First AI Medical Expert for Pharma GTM Teams",
        "tagline": "We scale your physician engagement - zero headcount added",
        "body": "👋 Hey everyone,\n\nWe’re [Supreet](https://www.linkedin.com/in/supreetdeshpande/), [Raj](https://www.linkedin.com/in/rajashekar-v/) and [Sahitya](https://www.linkedin.com/in/sahitya-sridhar/) - the team behind [SynthioLabs](https://www.synthiolabs.com/), and we’re building the **world’s first AI Medical Expert for Pharma GTM teams**.\n\n**Our Vision:** Reimagine how pharma engages with its most important stakeholders - physicians and patients\n\n**TL;DR**\n\n💡 Our always-on **_AI medical expert_** delivers **_compliant, accurate, and science-first engagement_** to every physician.\n\nWe help pharma GTM teams **3x their physician reach** while ensuring every interaction is medically accurate and personalized.\n\n**🎥 See us in action:**\n\n<https://youtu.be/OoJA5R0y9EQ>\n\n**🚨 Why now?**\n\nPharma’s current model is falling short - despite extensive sales teams, most doctors remain unengaged by pharma\n\n→ **7 out of 10 oncologists** report no meaningful touchpoints with pharma\n\n→ **Long-tail physicians (50–60%)** often receive little to no engagement from pharma reps\n\n→ Many physicians express a **need for deeper scientific insight and relevant medical knowledge**, rather than generic promotional outreach\n\nWith SynthioLabs, you can engage every physician, not just the top tier. No sales reps? No problem, we scale your team instantly.\n\n**🧠 What SynthioLabs does:**\n\n✅ Identifies and screens physicians\n\n✅ Engages in compliant, medical discussions\n\n✅ Educates on clinical guidelines and evidence\n\n✅ Books follow-ups with your medical and sales teams\n\n**📡 The Synthio Polaris Platform for Physician Engagement**\n\nWe’re building more than just one agent. Our platform lets you design intelligent AI agents — medical experts, nurse educators, field partners to **_transform how you engage physicians_**.\n\n**👥 About us**\n\nWe’re ex-McKinsey, ex-ZS, and AI researchers from Amazon.\n\nWe’ve worked with 10 of the top 20 pharma companies and bring over a decade of experience in life sciences, strategy, and AI.\n\n🔍 Want to see it in action?\n\n→ Visit [synthiolabs.com](http://synthiolabs.com)\n\n→ DM us or drop your email to book a demo\n\n→ Know someone in a life science commercial or marketing team? Share this post with them **🙏**\n\n🧠🤝 **Lets redefine how pharma connects with physicians!**\n\n— Supreet, Sahitya and Raj\n\n![uploaded image](/media/?type=post&id=89991&key=user_uploads/2574477/6c23b06e-63e5-4d3f-bfd5-5e65b2a02bfb)\n\n",
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        "created_at": "2025-05-02T18:40:34.977Z"
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    "year_founded": 2025,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/getauctor",
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      "url": "https://www.ycombinator.com/people/pete-koomen"
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    "founders": [
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        "full_name": "William Sun",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder, CEO at Auctor AI",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/weihongsun/",
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        "full_name": "Matthew Blackburn",
        "title": "Founder/CTO",
        "founder_bio": "Auctor",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/matthewblackburn0",
        "x_url": "https://x.com/mtthewblckburn",
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      {
        "user_id": 2547543,
        "full_name": "Anthony Sky Ng-Thow-Hing",
        "title": "Founder",
        "founder_bio": "CPO & Auctor",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/anthony-sky-ng-thow-hing-9b1352193/",
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    "jobs": [
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        "title": "Software Engineer",
        "url": "https://www.ycombinator.com/companies/auctor/jobs/JqWGAcn-software-engineer",
        "location": "New York",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "",
        "visa": "US citizen/visa only",
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      {
        "id": 88240,
        "title": "Software Engineering Intern",
        "url": "https://www.ycombinator.com/companies/auctor/jobs/tvxHSG7-software-engineering-intern",
        "location": "New York",
        "type": "Full-time",
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        "role_type": "Full stack",
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      {
        "id": 88242,
        "title": "Deployment Strategist",
        "url": "https://www.ycombinator.com/companies/auctor/jobs/SJQwZTR-deployment-strategist",
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        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
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        "id": 88243,
        "title": "Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/auctor/jobs/wt0fgLX-forward-deployed-engineer",
        "location": "New York",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 88244,
        "title": "Senior Software Engineer, Backend",
        "url": "https://www.ycombinator.com/companies/auctor/jobs/9DGLutr-senior-software-engineer-backend",
        "location": "New York",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "",
        "visa": "US citizen/visa only",
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    "news": [
      {
        "title": "Meet The Start-Up Promising To End Costly IT Project Failures",
        "url": "https://www.forbes.com/sites/davidprosser/2026/04/15/meet-the-start-up-promising-to-end-costly-it-project-failures",
        "date": "Apr 15, 2026"
      },
      {
        "title": "Meet The Start-Up Promising To End Costly IT Project Failures",
        "url": "https://www.forbes.com/sites/davidprosser/2026/04/15/meet-the-start-up-promising-to-end-costly-it-project-failures",
        "date": "Apr 15, 2026"
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    "launches": [
      {
        "id": 90211,
        "title": "Auctor: AI agents that streamline enterprise software implementations.",
        "tagline": "The fastest way to go from discovery to delivery—without the mess.",
        "body": "Hey YC! 👋\n\nWe're Xinan, Will, Matt, and Sky—co-founders of Auctor. We’re building an AI-native platform that streamlines enterprise software implementations.\n\n**TL;DR:**\\\nEnterprise software implementations (Oracle, SAP, Salesforce, etc.) are messy and expensive, plagued by shifting requirements, misaligned teams, and obsolete documentation. Auctor's AI agents solve this by automatically capturing requirements, generating artifacts (like SoWs, proposals, architecture docs, user stories, and more), and seamlessly syncing everything across your tools, eliminating costly delays and change orders.\n\n🎬 **Launch Video:** https://youtu.be/A-T2gwZCOMM\n\n## **🚨 The Problem**\n\nEvery implementation team—whether at software vendors or tech consultancies—knows this pain:\n\n* Fuzzy, incomplete requirements at kickoff\n* Tribal knowledge buried in notes and scattered docs\n* Endless manual edits across SOWs, user stories, test plans, and more\n* Costly rework, misalignment, and change orders\n\nDespite billions invested annually, over 70% of enterprise implementations still experience significant delays, overruns, and failures.\n\n## **🚀 Our Solution**\n\nAfter over 300 customer calls, we've spent the last several months building what we think every implementation team needs:\\\n🧠 AI agents that join your discovery/refinement calls,\n\n✍️ capture every requirement,\n\n📄 generate artifacts—from SOWs & design docs to user stories & configs,\n\n🔁 and keep it all in sync every time something changes.\n\n**It’s like having a sales engineer, solutions architect, and a delivery lead...all working 24/7, automatically.**\n\n# 👫  **The Team**\n\nWe are four best friends who gave up our jobs at Meta, Google, AWS, and Apple, and dropped out of Johns Hopkins to tackle the broken implementation process head-on. \n\nWe're building a new intelligence layer that leading mid-market and enterprise customers are leveraging today to reshape how implementations get done, faster than ever.\n\nOh—and meet our fifth cofounder (Chief Bark Officer 🐶) in the photo!\n\n![uploaded image](/media/?type=post&id=90211&key=user_uploads/1780083/82da5007-0632-4ce8-9bad-43b68de9ee9b)\n\n## **🙏 Our Ask**\n\n* Know any professional services, customer success, or tech consulting leaders struggling with complex implementations? We'd love an intro 👉 [will@getauctor.com](mailto:xinan@getauctor.com)\n* Curious how Auctor can transform your own implementations?[ Book a live demo here!](https://www.getauctor.com)\n\nThank you—more to come!",
        "url": "https://www.ycombinator.com/launches/NT1-auctor-ai-agents-that-streamline-enterprise-software-implementations",
        "votes": 27,
        "created_at": "2025-05-08T15:15:31.679Z"
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    "id": 30426,
    "name": "Ralo",
    "slug": "ralo",
    "former_names": [
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    "website": "https://www.ralo.com/",
    "all_locations": "New York City, NY, USA",
    "long_description": "Ralo is the first AI-native mortgage broker. We use AI to remove layers of overhead and pass the savings back to borrowers. Our customers get rates more than half a point below the national average, save tens of thousands of dollars over the life of their loan. ",
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    "team_size": 2,
    "industry": "Fintech",
    "subindustry": "Fintech -> Consumer Finance",
    "launched_at": 1744861920,
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    "nonprofit": false,
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        "full_name": "Arjun Lalwani",
        "title": "Founder/CEO",
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        "full_name": "Helly Shah",
        "title": "Founder/CTO",
        "founder_bio": "Helly Shah is the co-founder & CTO of Ralo, where she’s building the mortgage platform every homebuyer deserves. At Google Maps, she led the design and launch of features that enhanced lane guidance & geopolitical accuracy for over a billion users. Before that, she built real-time rates trading systems at Goldman Sachs, shaping how markets move.",
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    "jobs": [
      {
        "id": 96990,
        "title": "Loan Officer Engineer",
        "url": "https://www.ycombinator.com/companies/ralo/jobs/UXfOgU1-loan-officer-engineer",
        "location": "New York, NY, US",
        "type": "Full-time",
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        "role_type": null,
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      {
        "id": 90291,
        "title": "Ralo - Find Your Best Mortgage Deal 🏡",
        "tagline": "America’s first mortgage platform built to help homebuyers save time, money, and stress.",
        "body": "Hey everyone, we’re [Arjun](https://www.linkedin.com/in/arjun-lalwani/) & [Helly](https://www.linkedin.com/in/hellyshah/), co-founders of Ralo. 👋\n\n**TL;DR**\\\n[Ralo](https://ralo.com/) **is America’s first mortgage platform built to help homebuyers save time, money, and stress.** We automate the hardest parts of getting a mortgage so buyers can lock in the lowest rates with the least hassle.\n\n# **The Mortgage Problem**\n\nA huge number of buyers still do not shop their mortgage, even though doing so can save serious money. The main reason is not laziness. The process is overwhelming.\\\n**High friction** \\\nComparing lenders usually means re-entering the same information, re-uploading the same documents, and navigating multiple portals with different requirements and timelines.\n\n**Lack of know-how** \\\nMost people do not know what they can negotiate or how to compare offers. Terms like points, credits, and relationship pricing add confusion. Switching later can feel risky if it might slow down or jeopardize the deal.\n\n**Spam overload** \\\nTrying to shop for a mortgage can quickly turn into a flood of calls and emails.\n\n# **What Ralo Does**\n\nRalo reimagines how mortgages work.\n\n**One form. One Workflow.** \\\nYou fill out one application. We keep everything organized and guide you from pre-approval through closing.\n\n**Lowest Rates From the Start** \\\nYes, we can negotiate. More importantly, we streamline the process and remove middlemen so buyers can access great rates with low fees upfront, without endless back-and-forth.\n\n**Zero Spam**\\\nWe protect buyer data and only share what is necessary, so getting a mortgage does not become an inbox nightmare.\n\n**Proof in the Rates**\\\nWe publish our rates here: [ralo.com/rates](https://ralo.com/rates). On average, Ralo’s rates are about 0.50 percent to 0.75 percent below the market average, often with lower fees too\n\n# **Our Ask**\n\nKnow someone buying a home? Send them to [ralo.com](https://ralo.com). It could help them save thousands.\n\nKnow any real estate agents or lenders? We're also looking to connect with real estate agents and loan officers who would be open to sharing feedback. 📩 Connect us at [**founders@ralo.com**](mailto:founders@ralo.com)\n\nWant to support? A follow or shoutout on [LinkedIn](https://www.linkedin.com/company/approval-ai/) means the world.\n\nThanks so much for your support. It makes a big difference to us!\n\n# **The Team**\n\nRalo was founded by ex-Google and first time homebuyers in different cities who bonded over how confusing, expensive, and frustrating getting a mortgage was.\n\n[Arjun](https://www.linkedin.com/in/arjun-lalwani/) (CEO) — previously worked as a Product Manager at Google (APM '20), where he led high-impact consumer products. He scaled Google Hotels and launched a new business within YouTube Shopping, growing it from $0 to $XXX million in GMV.  Arjun holds a degree in Computer Science from the University of Washington.\n\n[Helly](https://www.linkedin.com/in/hellyshah/) (CTO) — previously worked on Google Maps, leading features that improved lane guidance & geopolitical accuracy for 1B+ users. Before that, she built real-time rates trading systems at Goldman Sachs, shaping how markets move. She grew up in a family of real estate developers across India and the US, giving her a front-row seat to the industry’s inner workings. Helly also holds a degree in Computer Science from the University of Washington.",
        "url": "https://www.ycombinator.com/launches/NUJ-ralo-find-your-best-mortgage-deal",
        "votes": 1251,
        "created_at": "2025-05-12T15:14:18.908Z"
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    "id": 30429,
    "name": "Claim Health",
    "slug": "claim-health",
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        "body": "Hello world! We are [Kevin](https://www.linkedin.com/in/kevincalcado/) and [JJ](https://www.linkedin.com/in/jayenram/) - co-founders of Claim Health, the first AI revenue platform for at-home care. Check out our demo [here](https://youtu.be/NBpZhDoU134):\n\n**The Problem**\n\nHealthcare billing teams are drowning in red tape with ever-changing insurance rules, very manual processes, and siloed data streams.\n\nWe counted 158 clicks to submit a single claim with one of our first customers!\n\n![](https://media3.giphy.com/media/v1.Y2lkPTc5MGI3NjExNW16bnJybDd0anpsY3luNG5kbGE4dzBwczJvZWhtZXFteWt0MjhrNyZlcD12MV9pbnRlcm5hbF9naWZfYnlfaWQmY3Q9Zw/xUPGcoTKhfDvStjxMA/giphy.gif)\n\nIn our conversations with at-home care providers (think nursing homes, home health, home care, and hospice) providers, Kevin and I kept hearing that “getting money in the door” was the single thing preventing agencies from growing. \\\n\\\nMany home health and home care agencies have to literally say no to patients who need care.\n\n![uploaded image](/media/?type=post&id=90010&key=user_uploads/545198/3bc40a31-3185-46a7-8fa1-0a4818da0ed3)\n\n**What Claim Health is doing about it**\n\nWe want medical billing to be a **one-click** process. Billers should spend their time making the important decisions and triaging involved in the revenue cycle process.\n\nOur platform surfaces the claims that need attention and automates the submission of the one’s that are routine. In addition, we manage denials by helping billers generate appeal letters and are implementing voice agents to request information enrichment from insurance companies.\n\nOur initial product has been rolled out to early customers and has already\n\n1. turned a 3 day a week billing process to a 2 hour process\n2. found 6 figures in lost revenue from denials and underpayments.\n\nCheck us out at [claimhealth.com](https://claimhealth.com)\n\n**Know a at-home care agency looking to supercharge their revenue operations?** Connect us → [kevin@claimhealth.ai](https://mailto:kevin@claimhealth.ai) / [Book a demo](https://calendly.com/kevin-claimhealth/30min)\n\n— JJ & Kevin",
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        "title": "Sim Studio: UI to Build AI Agents",
        "tagline": "The fastest way to build AI agent workflows for production",
        "body": "**_TL;DR_** [Sim Studio](https://www.simstudio.ai/) is an [open-source](https://github.com/simstudioai/sim) interface to build and deploy AI agent workflows.\n\n![uploaded image](/media/?type=post&id=90127&key=user_uploads/2320005/bcf7b4e1-6692-455c-932a-8f2047d2b652)\n\nOur Figma-like canvas allows users to drag-and-drop connect LLMs to their favorite tools (Slack, Supabase, Pinecone, Gmail). Check out our launch video 👇\n\n<https://youtu.be/EAAMNXRYncY>\n\n**Key Features**\n\n* 🤖 Build **Agents** that connect with any of your tools\n* 🚀 **Deploy** your workflow as a chat or an API\n* 💡 Quickly iterate and optimize your agents **visually**\n\n**The Problem**\n\nAgent frameworks require learning and extensive boilerplate code, and existing visual interfaces abstract most of the customization required for complex agent workflows.\n\n**Our Solution**\n\n![uploaded image](/media/?type=post&id=90127&key=user_uploads/2320005/2d40df0f-fe2f-4c01-bbbb-1fa207339a81)\n\n**Sim Studio** is a lightweight, user-friendly platform to build, test, and deploy AI agents in minutes. You can design the entire agent architecture, with a variety of models (hosted and local via Ollama), tools with granular tool use control, and structured output.\n\nYou can trigger the workflows manually, deploy as an **API**, or **schedule** the workflows to run periodically. They can also be set to trigger on incoming **webhooks** (e.g., [Slack messages](https://docs.simstudio.ai/tools/slack)) and deployed as standalone chat instances.\n\n**Get an Agent Demo for Your Use Case**\n\n[**Request a call**](https://form.typeform.com/to/jqCO12pF) to watch us build an AI agent for your company in minutes.",
        "url": "https://www.ycombinator.com/launches/NRf-sim-studio-ui-to-build-ai-agents",
        "votes": 243,
        "created_at": "2025-05-06T16:07:35.068Z"
      }
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    "id": 30445,
    "name": "Mbodi AI",
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    "website": "https://www.mbodi.ai/",
    "all_locations": "New York City, NY, USA",
    "long_description": "Teach robots new skills through natural language and run reliably in production in minutes.\r\n\r\nMbodi combines generative AI and agent orchestration, turning everyday language and quick demos into precise, reliable robot actions for industrial automation.",
    "one_liner": "Industrial Robots that Learn and Operate Like Humans",
    "team_size": 6,
    "industry": "Industrials",
    "subindustry": "Industrials -> Manufacturing and Robotics",
    "launched_at": 1747670628,
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    "regions": [
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    "url": "https://www.ycombinator.com/companies/mbodi-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/mbodi-ai.json",
    "year_founded": 2024,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/mbodiai",
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    "github_url": "https://github.com/mbodiai",
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    "primary_partner": {
      "name": "Pete Koomen",
      "url": "https://www.ycombinator.com/people/pete-koomen"
    },
    "founders": [
      {
        "user_id": 1639266,
        "full_name": "Sebastian Peralta",
        "title": "Founder/CEO",
        "founder_bio": "Interested in making humans lazier.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/sebjperalta",
        "x_url": "https://x.com/sebjperalta",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/53dc9bdb64b25f4747b238dc99fe2c79d0b2cc31.jpg"
      },
      {
        "user_id": 1111983,
        "full_name": "Xavier (Tianhao) Chi",
        "title": "Founder",
        "founder_bio": "Building the future of AI x Robotics\nEx-Google TL, 8.8.8.8, Guardian of the Internet.\nECE @ UIUC",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/xavierchi/",
        "x_url": "https://x.com/chitianhao",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/983ab0d4bb8ac297b97811c83724ded2b8c13dbe.jpg"
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    ],
    "jobs": [
      {
        "id": 104525,
        "title": "Founding Research Engineer",
        "url": "https://www.ycombinator.com/companies/mbodi-ai/jobs/NJF6jNS-founding-research-engineer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$150K - $250K",
        "equity_range": "0.50% - 2.00%",
        "experience": "1+ years",
        "visa": "Will sponsor",
        "skills": [
          "ML",
          "Python",
          "AI Agents"
        ]
      },
      {
        "id": 104526,
        "title": "Senior Robotics Engineer",
        "url": "https://www.ycombinator.com/companies/mbodi-ai/jobs/KHiy8Yk-senior-robotics-engineer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Robotics",
        "salary_range": "$150K - $250K",
        "equity_range": "0.50% - 2.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "How Mbodi is solving robotics’ scaling problem, with Xavier Chi | TechCrunch",
        "url": "https://techcrunch.com/podcast/how-mbodi-is-solving-robotics-scaling-problem-with-xavier-chi/",
        "date": "Sep 09, 2026"
      },
      {
        "title": "Meet Mbodi, Automate’s 2026 Startup Challenge winner | Association for Advancing Automation",
        "url": "https://www.automate.org/ai/industry-insights/meet-mbodi-automates-2026-startup-challenge-winner",
        "date": "Jul 06, 2026"
      },
      {
        "title": "Mbodi will show how it can train a robot using AI agents at TechCrunch Disrupt 2025 | TechCrunch",
        "url": "https://techcrunch.com/2025/10/27/mbodi-will-show-how-it-can-train-a-robot-using-ai-agents-at-techcrunch-disrupt-2025/",
        "date": "Oct 26, 2025"
      },
      {
        "title": "10 Most Exciting AI Agent Startups at YC Demo Day Spring Cohort 2025 - Business Insider",
        "url": "https://www.businessinsider.com/y-combinator-yc-demo-day-spring-ai-agent-startups-2025-6",
        "date": "Jun 10, 2025"
      },
      {
        "title": "Mbodi AI launches on Y Combinator, developing embodied AI for industrial robots",
        "url": "https://www.therobotreport.com/mbodi-ai-launches-y-combinator-developing-embodied-ai-industrial-robots/",
        "date": "May 22, 2025"
      }
    ],
    "launches": [
      {
        "id": 90633,
        "title": "Mbodi AI- Embodied AI for Industrial Robotics",
        "tagline": "Teach robots new skills through natural language and run reliably in production, in minutes.",
        "body": "Hey friends [👋](https://emojipedia.org/waving-hand)\n\nThis is [Xavier](https://www.linkedin.com/in/xavierchi/) and [Sebastian](https://www.linkedin.com/in/sebbyjp/) - Co-Founders of Mbodi AI, and we are making robots learn like humans.\n\n# **TL;DR**\n\n**We’re building an embodied AI platform that lets anyone teach robots new skills — just by talking to them.** No code. No engineers. No week-long reprogram. Mbodi turns natural language and quick demos into precise, reliable robot actions that run in production in minutes, and adapt as often as you need.\n\nWe are now rolling out real-world deployments to customers with a joint commercialization partner, [ABB](https://new.abb.com/products/robotics), the world’s leading robot manufacturer.\n\nhttps://youtu.be/CwRxP3_F9MA\n\n# 🚨 **The Problem**\n\nManufacturing is facing a critical inflection point.\n\n**Labor crisis:** Labor accounts for nearly half of global GDP ($40+ trillion), but over 70% of factories face severe labor shortages.\n\n**Flexibility gap:** Traditional robots require week-long reprogramming by engineers or specialists every time things change.\n\n**Untapped automation potential:** Hundreds of billions of dollars in manufacturing tasks, especially those with high variation, remain out of reach for automation because robots can’t adapt fast enough.\n\nThis mismatch, between inflexible robots and ever-shifting production needs, leaves a massive automation gap across global manufacturing. We simply need robots to be more **versatile**. It wasn’t quite possible — **until now**.\n\n# **🧠 How Mbodi AI Helps**\n\nMbodi is an embodied AI platform that makes robots learn like humans, with natural language. So anyone can teach robots new skills by talking to them and execute the learned skills reliably in production, in minutes.\n\n![uploaded image](/media/?type=post&id=90633&key=user_uploads/1111983/cd7897e7-4fc9-4137-8c3d-2b6fe0b487bb)\n\nWe’ve built a cloud-to-edge system that takes your instructions, understands the environment, makes a plan, and turns it into precise, safe robot actions. All within a second. Our universal agent framework can run across any robotic hardware, coordinating perception, reasoning, planning, and control in real time.\n\n* 🕐 No week-long reprograms\n* 👷‍♂️ No on-site engineers\n* 🗣️ Just say what you want done\n* 🏭 Run reliably in production\n\nWhen one robot learns something, the entire fleet does. Individual skills can be reused, repurposed, and adapted instantly — across machines, factories, and tasks.\n\n# 🚀 **What’s Happening**\n\nWe’re moving toward real-world deployments after entering a joint commercialization agreement with ABB Robotics, one of the world’s leading robot manufacturers, following our win in their global AI Startup Challenge from among hundreds. This represents a first-of-its-kind system in industrial automation.\n\nWe’re building toward a world where robots are as easy to teach and adapt as software — turning them into true consumer commodities and making automation accessible to every factory and beyond.\n\n# 📣 **Our Ask**\n\nIf you're a **manufacturer**, **system integrator**, or **robot maker** exploring more flexible and intelligent automation, we’d love to connect and solve automation challenges that were previously out of reach.\n\nReach us at: [**founders@mbodi.ai**](mailto:founders@mbodi.ai)\n\nWe’re also strong advocates of the open-source community. We open-sourced one of our libraries, [embodied-agents](https://github.com/mbodiai/embodied-agents), to enable seamless integration of transformer models into robotics stacks, with more open-source projects coming in the future.\n\n# 👥 **The Team**\n\n[Sebastian Peralta](https://www.linkedin.com/in/sebbyjp/) is a physicist, roboticist, and deep learning researcher. Before Mbodi, he was a core engineer at Google Public DNS (8.8.8.8), and earned a triple major (EE, CS, Physics) from UPenn, where he also conducted graduate research at the GRASP Robotics Lab.\n\n[Xavier (Tianhao) Chi](https://www.linkedin.com/in/xavierchi/) is a former tech lead of Google Public DNS (8.8.8.8), one of the world’s most critical internet services, with work featured in[ The Register](https://www.theregister.com/2023/01/19/google_dns_queries/) and topping[ Hacker News](https://news.ycombinator.com/item?id=39960125). He holds bachelor's and master's degrees in ECE from UIUC.\n\n![uploaded image](/media/?type=post&id=90633&key=user_uploads/1111983/87381bac-5704-43f6-9fa3-1796b4af0f53)\n\nWe started Mbodi after seeing robots fall short of their potential — stuck in brittle code and long deployment cycles. With breakthroughs in generative AI and agentic systems, we’re building a future where robots can truly learn, adapt, and scale.\n\n![uploaded image](/media/?type=post&id=90633&key=user_uploads/1111983/447ef918-87d3-4a90-a120-04274434878f)\n\n",
        "url": "https://www.ycombinator.com/launches/NZp-mbodi-ai-embodied-ai-for-industrial-robotics",
        "votes": 98,
        "created_at": "2025-05-22T14:25:21.451Z"
      }
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  },
  {
    "id": 30448,
    "name": "PgDog",
    "slug": "pgdog",
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e611bab66e36c7b14163abfaf0665e260a2ac3e2.png",
    "website": "https://pgdog.dev",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "PgDog is an application for sharding PostgreSQL. It understands SQL and can distribute queries automatically between databases. It's built for managed databases, like AWS RDS, and doesn't require any changes to application code or schema.\r\n\r\nIn addition to sharding, PgDog is a load balancer and pooler, so it can act as a replacement for PgBouncer, RDS Proxy, and other Postgres scaling products. It brings the simplicity and performance of HTTP load balancing to the database.\r\n\r\nBuilt from the experience of sharding Postgres at Instacart during peak growth in 2020, PgDog is the answer to the old question: does Postgres scale? It does now.",
    "one_liner": "Scaling engine for PostgreSQL",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1745009582,
    "tags": [
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    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Spring 2025",
    "status": "Active",
    "industries": [
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      "Infrastructure"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Fully Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/pgdog",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/pgdog.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/pgdog/",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
    "github_url": "https://github.com/pgdogdev/pgdog",
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    "app_video_url": null,
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    "primary_partner": {
      "name": "Garry Tan",
      "url": "https://www.ycombinator.com/people/garry-tan"
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    "founders": [
      {
        "user_id": 989617,
        "full_name": "Lev Kokotov",
        "title": "Founder/CEO",
        "founder_bio": "Second time technical founder, sharded Postgres at Instacart in 2020 during peak growth. Previously built PostgresML (AI + PostgreSQL = 🚀).",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/levkk",
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    "jobs": [
      {
        "id": 78009,
        "title": "Founding Software Engineer",
        "url": "https://www.ycombinator.com/companies/pgdog/jobs/uWymUYy-founding-software-engineer",
        "location": "San Francisco, CA, US / CA, US / OR, US / Remote (San Francisco, CA, US; CA, US; OR, US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $225K",
        "equity_range": "1.00% - 3.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "PostgreSQL",
          "Rust"
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    "news": [],
    "launches": [
      {
        "id": 90596,
        "title": "PgDog: Scaling PostgreSQL",
        "tagline": "Proxy for scaling Postgres without app changes or database extensions.",
        "body": "Hey YC,\n\nI’m Lev and I invented time travel… for your database.\n\n“Huh?”\n\n**TLDR:** PgDog is a proxy for scaling PostgreSQL. It can load balance traffic and shard databases, without changes to app code or using database extensions. What does this have to do with time travel? Keep reading.\n\nhttps://www.youtube.com/watch?v=trSVJel3gyc\n\n# ❌ The Problem\n\nScaling Postgres is a full time job. Your app is writing data but the database can’t keep up. You’re adding more databases and thinking of breaking the app into services to spread the load.\n\nPgDog is for you if:\n\n* You had an outage caused by a bad query\n* Your database is unpredictable; app latency and uptime are all over the place\n* You know more about Postgres internals (like vacuum) than you’d like, and you just want it to work so you can go back to building your product\n\nAnd you catch yourself day dreaming about the good old days, when you were pre-PMF and your DB was at 10% CPU.\n\n# 👷 The Solution\n\nDatabase problems should be solved at the database layer. PgDog is a load balancer, connection pooler, bouncer, and sharder. It speaks fluent SQL and understands every single Postgres query. It uses this knowledge to:\n\n* Distribute queries between shards, horizontally scaling your relational database\n* Load balance traffic between replicas\n* Block or rewrite queries you don’t like, e.g. queries that forgot an index or are missing the customer_id and were about to leak data\n\nWith PgDog, your DB is young again and ready to grow 10x. Written in Rust, for security and performance, PgDog is fully tested and ready for production.\n\n# 🙏 The Ask\n\nIf any of this sounds familiar, **get in touch!** I’m happy to come work for you to fix your DB. I’ll stay in the basement and make PgDog scale Postgres, while you work on your startup.\n\nYou’re my ideal design partner if:\n\n* Postgres is your production database (naturally)\n* Despite your troubles, you love it and want to do more with it\n* You believe in first principles solutions to hard problems\n\n![uploaded image](/media/?type=post&id=90596&key=user_uploads/989617/91f087f7-4175-47fe-9753-57ed4e9bda62)\n\nEmail [lev@pgdog.dev](mailto:lev@pgdog.dev), join our [Discord](https://discord.gg/CcBZkjSJdd), and give us a star on [GitHub](https://github.com/pgdogdev/pgdog). Everything we build is open source.\n\n# 👬 The Team\n\nI’m a second time technical founder (previously co-founded [PostgresML](https://github.com/postgresml/postgresml)) and started the Instacart storage infra team. I scaled 100TB+ databases when Instacart grew 5x in 3 months. This is my second pet-inspired project for scaling Postgres (have you heard of [pgcat](https://github.com/postgresml/pgcat)?)\n\n![uploaded image](/media/?type=post&id=90596&key=user_uploads/989617/86ff8181-b991-4bf9-bd05-8b0a387ed978)\n\n",
        "url": "https://www.ycombinator.com/launches/NZE-pgdog-scaling-postgresql",
        "votes": 40,
        "created_at": "2025-05-21T17:22:59.749Z"
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  },
  {
    "id": 30449,
    "name": "Attune",
    "slug": "attune",
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8df0ce49cc11e96b09c8980da86ed900b39fe9dc.png",
    "website": "https://attunehq.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Attune makes blazingly fast build tools that require zero migration effort.\r\n\r\nAs AI enables developers to write code faster than ever, slow builds are increasingly becoming the bottleneck in development velocity. Developers regularly lose hours of productivity every day waiting for their builds. Imagine being able to write code in 1 minute, but needing to wait 30 minutes to compile, deploy, and test it.\r\n\r\nExisting solutions either require painful migrations to new tools (e.g. Bazel) or rely on just using bigger servers to run your builds. Instead, we do native, first-class integrations into compilers and build systems.\r\n\r\nWith Attune, you don't need to integrate a new tool. Just make a one-line change from `cargo build` to `hurry cargo build` for 20x faster builds.\r\n\r\nEliza (ex-Google) and Xin worked together for 3 years at FOSSA, where Eliza was Head of Engineering and Xin was Head of Product. Eliza brings a decade of programming languages and build systems expertise, while Xin brings a decade of experience building developer tools products, most recently as VP of Product at Teleport (S15). Having experienced the pain of slow builds firsthand across hundreds of production codebases, we're building the solution we've always wanted.",
    "one_liner": "Faster builds, zero effort.",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1747089464,
    "tags": [
      "Developer Tools",
      "Infrastructure"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Spring 2025",
    "status": "Active",
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/attune",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/attune.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/attunehq",
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    "primary_partner": {
      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
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    "founders": [
      {
        "user_id": 429685,
        "full_name": "Xin Ding",
        "title": "Founder/CEO",
        "founder_bio": "Xin is the cofounder and CEO of Attune.\n\nBefore Attune, Xin was the VP of Product at Teleport (S15), where he built the product and design teams. He helped scale the company to unicorn status and its new SaaS offering from 0 to 8-figures in ARR. Prior to that, he joined FOSSA at seed stage and scaled it from 0 to 8-figures in ARR. Xin has a proven track record of leading early-stage developer tools startups through hypergrowth phases by building products developers actually want to use.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/xinding3/",
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    ],
    "jobs": [
      {
        "id": 78125,
        "title": "Founding Software Engineer",
        "url": "https://www.ycombinator.com/companies/attune/jobs/ZWLdtj8-founding-software-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$150K - $200K",
        "equity_range": "0.50% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
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    ],
    "news": [],
    "launches": [
      {
        "id": 90363,
        "title": "Attune - Faster Builds, Zero Effort",
        "tagline": "Attune makes blazingly fast build tools that require zero migration effort.",
        "body": "Hey everyone, we’re Eliza and Xin, cofounders of Attune.\n\n# ⚡️ TL;DR\n\nAttune makes blazingly fast build tools that require zero migration effort. Built by developers with a decade of experience in build systems and developer tools.\n\nIf you or someone you know is suffering from slow builds, we’d love to help! \n\nContact us at [founders@attunehq.com](mailto:founders@attunehq.com).\n\n![uploaded image](/media/?type=post&id=90363&key=user_uploads/429685/31b348ca-dc4a-4649-8886-fc28ed78e37a)\n\n# ❌ The Problem\n\nAs AI enables developers to write code faster than ever, slow builds are increasingly becoming the bottleneck in development velocity. Developers regularly lose hours of productivity every day waiting for their builds. Imagine being able to write code in 1 minute, but needing to wait 30 minutes to compile, deploy, and test it.\n\nExisting solutions either require painful migrations to new tools (e.g. Bazel) or rely on just using bigger servers to run your builds.\n\n# ✅ Our Solution\n\nWe’re building drop-in replacements for existing build tools that dramatically speed up build times with zero migration effort. Simply prefix your existing build commands with hurry and get faster builds through incremental builds, remote execution, distributed caching, and a whole suite of other language-native and compiler-native optimizations.\n\nhttps://www.youtube.com/watch?v=DxM5Dj6ikVc\n\nFor example, instead of running cargo build, now you can run hurry cargo build for up to 20x faster builds.\n\nThat's it. No migration headaches, no complex configuration, and no learning a new tool and rewriting your build files.\n\nNow available for Rust, with Docker and additional language support launching soon.\n\n# 👷‍♀️👷‍♂️Our Team\n\nEliza (ex-Google) and Xin worked together for 3 years at FOSSA helping customers analyze and secure their build systems. Eliza was Head of Engineering and Xin was Head of Product. Eliza brings a decade of programming languages and build systems expertise, while Xin brings a decade of experience building developer tools products, most recently as VP of Product at Teleport (S15). We’ve seen the pain of slow builds firsthand across hundreds of production codebases, we're building the solution we've always wanted.\n\n# 🙏 Our Ask\n\nTired of waiting on builds? We'd love to show you how much time Attune can save your team.\n\nReach out to us at [founders@attunehq.com](mailto:founders@attunehq.com).",
        "url": "https://www.ycombinator.com/launches/NVT-attune-faster-builds-zero-effort",
        "votes": 49,
        "created_at": "2025-05-13T17:46:08.929Z"
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    "id": 30451,
    "name": "Bluejay",
    "slug": "bluejay",
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    "website": "https://getbluejay.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Bluejay’s mission is to engineer trust into every AI interaction, becoming the trust layer between businesses and their customers.",
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    "team_size": 10,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1746833867,
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    "batch": "Spring 2025",
    "status": "Active",
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/bluejay",
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    "city": "San Francisco",
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    "primary_partner": {
      "name": "Pete Koomen",
      "url": "https://www.ycombinator.com/people/pete-koomen"
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    "founders": [
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        "user_id": 343489,
        "full_name": "Rohan Vasishth",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder & CEO @ Bluejay, building the only quality assurance platform for AI agents. Prev. at AWS Bedrock. CS + Econ @ UChicago. Goal: 40 followers on Bookface.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/rohanvas/",
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      },
      {
        "user_id": 1376037,
        "full_name": "Faraz Siddiqi",
        "title": "Founder/CTO",
        "founder_bio": "Founder/CTO @ Bluejay, building the first quality assurance agency for voice AI.\nEx-MSFT Copilot, Masters CS @ UIUC.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/farazmsiddiqi",
        "x_url": "https://x.com/farazmsiddiqi",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b2af54b0ce62fa80c6255e0d220cd49d830f8801.jpg"
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    ],
    "jobs": [
      {
        "id": 78634,
        "title": "Software Engineer Intern",
        "url": "https://www.ycombinator.com/companies/bluejay/jobs/jaE0uqb-software-engineer-intern",
        "location": "San Francisco, CA, US",
        "type": "Internship",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$6K - $10.5K / monthly",
        "equity_range": "",
        "experience": null,
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 90945,
        "title": "Senior Member of Technical Staff",
        "url": "https://www.ycombinator.com/companies/bluejay/jobs/7lJoSCc-senior-member-of-technical-staff",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$225K - $300K",
        "equity_range": "0.01% - 0.20%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Amazon Web Services (AWS)",
          "PostgreSQL",
          "Python",
          "SQL"
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      },
      {
        "id": 97632,
        "title": "Founding SDR",
        "url": "https://www.ycombinator.com/companies/bluejay/jobs/GwwNBgE-founding-sdr",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$60K - $120K",
        "equity_range": "0.01% - 1.00%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 97633,
        "title": "Growth & Marketing Lead",
        "url": "https://www.ycombinator.com/companies/bluejay/jobs/vDY6G0A-growth-marketing-lead",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$100K - $200K",
        "equity_range": "0.01% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Marketing design"
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      },
      {
        "id": 97634,
        "title": "Chief of Staff",
        "url": "https://www.ycombinator.com/companies/bluejay/jobs/L35mQ37-chief-of-staff",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$100K - $250K",
        "equity_range": "0.01% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 97635,
        "title": "GTM Engineer",
        "url": "https://www.ycombinator.com/companies/bluejay/jobs/bJ6qvpe-gtm-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$90K - $160K",
        "equity_range": "0.01% - 1.00%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 97636,
        "title": "Founding Account Executive",
        "url": "https://www.ycombinator.com/companies/bluejay/jobs/vqkbnZP-founding-account-executive",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$100K - $300K",
        "equity_range": "0.01% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 101786,
        "title": "Member of Technical Staff",
        "url": "https://www.ycombinator.com/companies/bluejay/jobs/mqrSm6z-member-of-technical-staff",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$160K - $220K",
        "equity_range": "0.01% - 0.20%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Amazon Web Services (AWS)",
          "Python",
          "Machine Learning",
          "LLMs"
        ]
      }
    ],
    "news": [
      {
        "title": "Ex-Amazon, Microsoft Employees Raised $4M for AI Startup Bluejay - Business Insider",
        "url": "https://www.businessinsider.com/bluejay-ai-startup-amazon-microsoft-y-combinator-2025-8",
        "date": "Aug 27, 2025"
      }
    ],
    "launches": [
      {
        "id": 90520,
        "title": "Bluejay - Quality Assurance for AI Voice Agents",
        "tagline": "Ultra-realistic simulations, evaluations, and production call monitoring for AI voice agents. ",
        "body": "**TL;DR:** Bluejay **learns** about your agent, **mimics** your customers, and **simulates** every customer interaction **_BEFORE_** you release your product. With Bluejay, **simulate 1 month of customer interaction in 5 minutes.**\n\nIf you are building a voice agent, let us[ run a sanity check](https://cal.com/rohanv) for you.\n\n**Mission:** enable developers to trust their AI voice agents.\n\n**Problem:** We were **sick and tired** of manually call-testing our voice agent 50 times before every release. Turns out, **so was everyone else** building voice agents. \n\n**Solution:** So, we built a platform that **does 100x the testing we could ever do, in minutes.** From there: fix the bug laundry list, re-run Bluejay’s test suite, and push to prod[.](https://youtu.be/bpWu_0TWIP4)\n\n**Think about it:** SaaS has robust, feature-rich E2E testing platforms, CI/CD, and regression testing. _Why don’t AI voice agents have the same?_\n\nFor us, building Bluejay wasn’t a “let’s see if this works” idea. \n\nIt was a no-brainer. \n\n**Key Features:**\n\n* **Mimic: Hyper-realistic Customer Simulations:** Generate a custom workforce of **digital humans** to test every conversational turn of your voice agent. Our digital humans speak/have varied languages, accents, background noise, tone, delivery, emotion, and vocal punctuation. They’re better at being customers than your real customers…\n* **Skywatch: Production Observability:** Another no brainer. Why stop at testing your agents pre-production? We tell you what went wrong with production calls, and how to fix it.\n* **Research-backed Evaluation:** Bluejay learns about your agent’s goals, and tells you how close it got to achieving them. And of course, the standard stuff: latency, redundancy, hallucination, tool calls, interruptions, sentiment… anything worth knowing, really.\n\nVoice agents **_need_** automated, scalable testing. And we won’t stop at voice. \n\n**The Team:**\n\n[Rohan](https://www.linkedin.com/in/rohanvas/) is ex-AWS Bedrock, and went to UChicago studying CS + Econ. He built a profitable SaaS company in college.\n\n[Faraz](https://www.linkedin.com/in/farazmsiddiqi/) is ex-Microsoft Copilot, and did his undergrad/masters in CS at UIUC, where he researched high quality synthetic data generation and context compression for LLMs.\n\n**Do us a solid:**\n\nIf you are building voice agents, give us a shot:[ ](https://getbluejay.ai/)[https://getbluejay.ai](https://getbluejay.ai%5B.%5D\\(https://getbluejay.ai/\\))[.](https://getbluejay.ai/)\n\nOr, book a call here:[ https://cal.com/rohanv.](https://cal.com/rohanv)\n\n![uploaded image](/media/?type=post&id=90520&key=user_uploads/1376037/a4ba8c15-48ca-4c91-aa17-0a3754baf70f)\n\n",
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        "votes": 163,
        "created_at": "2025-05-19T16:26:47.460Z"
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    "id": 30453,
    "name": "Parsewise",
    "slug": "parsewise",
    "former_names": [],
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    "website": "https://parsewise.ai",
    "all_locations": "London, England, United Kingdom",
    "long_description": "Parsewise provides multi-document processing and analysis that you can embed in your own product.\r\n\r\nOperations teams use our platform for oversight and control over their fleet of AI agents, and our MCP to make Claude work at scale with traceability.\r\nTech teams use our API to replace complex processing pipelines resolving values across documents.\r\n\r\nWe help customers assess complex risk at scale: manage casualty, specialty, KYC, and financial risks, so teams can act faster and defend their decisions with confidence.",
    "one_liner": "Multi-document processing for your risk teams, AI agents, pipelines",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1745096268,
    "tags": [
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      "Finance",
      "API",
      "Insurance",
      "AI"
    ],
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Spring 2025",
    "status": "Active",
    "industries": [
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    ],
    "regions": [
      "United Kingdom",
      "Europe",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/parsewise",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/parsewise.json",
    "year_founded": 2024,
    "city": "London",
    "country": "GB",
    "linkedin_url": "https://www.linkedin.com/company/parsewise",
    "x_url": "https://x.com/parsewise",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/parsewise",
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7f1c0c72a7f623d3b80ce3fbde35d6d196e31e5c.png",
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    "company_photos": [
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    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
    },
    "founders": [
      {
        "user_id": 1723779,
        "full_name": "Max Hofer",
        "title": "Founder/CEO",
        "founder_bio": "On a mission to end data monkey work. \nFormer Bain consultant with deep expertise in enterprise data workflows and a PhD in applied ML.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/mwhofer/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9b31762b1842413440fc93f48220dba18019a750.jpg"
      },
      {
        "user_id": 1910315,
        "full_name": "Greg Csegzi",
        "title": "Founder/CTO",
        "founder_bio": "Bridging reliability for AI driven extractions.\nEx-Palantir, experience in life sciences, insurance, manufacturing",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/gergely-csegzi-553b1aa5",
        "x_url": "",
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    "jobs": [
      {
        "id": 79985,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/parsewise/jobs/rgv8l5D-founding-engineer",
        "location": "London, England, GB",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "£80K - £100K GBP",
        "equity_range": "0.50% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 95780,
        "title": "Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/parsewise/jobs/F27C7eN-forward-deployed-engineer",
        "location": "London, England, GB",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "£80K - £100K GBP",
        "equity_range": "0.50% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": [
          "Amazon Web Services (AWS)",
          "Python",
          "React",
          "Terraform",
          "AI Agents"
        ]
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    ],
    "news": [],
    "launches": [
      {
        "id": 101959,
        "title": "Parsewise - API for agentic multi-document processing",
        "tagline": "Give your apps full value provenance for reasoning across documents!",
        "body": "Hello from Greg, Max and the Parsewise team! 👋\n\n# **TL;DR**\n\n[Parsewise](https://www.parsewise.ai/api?utm_source=launchyc&utm_medium=referral&utm_campaign=api_launch) turns multiple documents into a single structured response. Cross-document entity linking, contradiction detection, bounding boxes and UI toolkit to show it all included.\n\n[See it live!](https://www.youtube.com/watch?v=F1cSuZal03s)\n\n**The Problem**\n\nToday, you have to build and maintain complex document processing pipelines with changing business rules. You parse, classify, and rely on structured responses from LLMs or IDP tools (e.g., Reducto) to get individual extraction results that you piece together with other bits of information. There’s no reliable way to catch when information contradicts itself, which is risky. Finally, you build a custom verification UI for your operations team to deal with LLM mistakes.\n\n**The Solution**\n\nWe provide an API to abstract all that away into a single call. You provide multiple documents and the desired output to get back a response with resolved values, flagged contradictions, and full traceability across documents / pages that you can display in your own app.\n\n![uploaded image](/media/?type=post&id=101959&key=user_uploads/1910315/a837442e-b7af-4113-acfd-699fc5074dff)\n\n**Get Started**\n\n=======================================================\n\n  Sign up with free credits: [https://www.parsewise.ai/get-started](https://www.parsewise.ai/get-started?utm_source=launchyc&utm_medium=referral&utm_campaign=api_launch)\\\n  (use the [Agents.md](https://api.parsewise.ai/AGENTS.md) for a 1m integration)\n\n=======================================================\n\n**Story Time**\n\nWhy are we working on this, how we got to where we are, who we are working with, and where we are headed.\n\nGreg was at Palantir trying to make sense of various Japanese insurance documents and realizing that any processing pipeline built around it was highly custom, time-consuming, and brittle. Max was on the human operator side at Bain &amp; Co, realizing that the technology was being held back due to a trust problem.\n\nWe realized that there is this powerful new capability for general reasoning (and thus processing). Models are getting extremely good at interpreting complex documents (shout-out to the Gemini model family) and perform better than most OCR-type solutions on the market.\n\nSo we set out to build the layer that comes on top:\\\n1\\. Provide mapping from user intent to a dynamic ontology\\\n2\\. Use the now-abundant intelligence to reason across documents to get to the right results\\\n3\\. Provide the provenance trace and validation UX that is required in many use cases\n\nWe are working with leading customers, both small and large, like UBS, Compre Group, Thinksurance, and more. They rely on Parsewise to streamline submission intake, claim portfolio risk assessment, etc., for both API based integrations and operational workflows.\n\nWith this launch, we are inviting developers to build more reliable and delightful workflows around their unstructured data processing. As we scale, we are excited to be helping with the end-to-end integration and deterministically filling forms, mapping to 3rd party APIs and web portals.\n\n\\\nSee more at [https://www.parsewise.ai/api](https://www.parsewise.ai/api?utm_source=launchyc&utm_medium=referral&utm_campaign=api_launch)\n\n![uploaded image](/media/?type=post&id=101959&key=user_uploads/1910315/97f9bee1-d6f5-42ee-ab1f-14f178b5b826)\n\n",
        "url": "https://www.ycombinator.com/launches/QWV-parsewise-api-for-agentic-multi-document-processing",
        "votes": 6,
        "created_at": "2026-05-26T14:44:21.064Z"
      },
      {
        "id": 90400,
        "title": "Parsewise: Extract Validated Data from Complex Documents 🔬",
        "tagline": "Turn complex documents into validated information that business users can trust.",
        "body": "Hi everyone, we’re [Max](https://www.linkedin.com/in/mwhofer/) and [Greg](https://www.linkedin.com/in/gergely-csegzi/), and we’re building [Parsewise](https://parsewise.ai/) 👋\n\n👉🏻 Watch the video: https://youtu.be/ZFNH0M6Q3fw\n\n**❌ The Problem**\n\nBusiness experts waste hours each week on **manual, repetitive data tasks**. Extracting and validating information from complex documents is slow and error-prone. As a result, analytics, benchmarking, and reporting **processes are brittle and expensive**.\n\n**Current AI solutions** like ChatGPT are black boxes that generate **unreliable outputs**. Intelligent document processing tools require technical expertise, resulting in limited productivity gains.\n\n**The data monkey era is over!** We believe that business experts have struggled with complex documents long enough. We 10x their productivity while improving the quality of their outputs.\n\n**✅ The Parsewise Solution**\n\nParsewise extracts trusted information from complex documents, supported by these core features:\n\n* **End-to-end Traceability**: We trace every single output (text, number, date, etc.) to its exact source and highlight it with bounding boxes. _No more black boxes._\n* **Granular Human Control**: Business experts directly review and modify data extraction logic and consistency check strategies. _No more re-prompting._\n* **Exhaustive Processing**: Our agents exhaustively parse data, proactively flagging issues. _No more second-guessing._\n\n👉🏻 Parsewise is easy to use: https://youtu.be/69kEn5cYbvA\n\n**💬 What Our Users Are Saying**\n\n_“We have cut the analysis process from weeks to days, and most importantly, we have more confidence in the results than before.”_\n\n* Head of Family Office\n\n_“The processing took a while, but the results are perfect. We ran the same test with Snowflake’s Document AI, and it was frankly disappointing.”_\n\n* Lead Data Analyst at a Large Asset Manager\n\nWe have helped **cut week-long processes relying on parsing complex documents into hours**.\n\n**🤝 The Team**\n\nWe met studying CS at Oxford University in 2017.\n\n**Max (CEO)**: Ran his first business at 12, founded a data science consultancy next to his PhD, and conducted &gt;20 PE due diligence projects at Bain. BSc, MSc, and PhD in CS and Econ.\n\n**Greg (CTO)**: Built the earliest production AI use cases at Palantir, with top project conversion, working in life sciences and insurance, having been deployed to 6 countries. Ask me about parsing manga-style insurance documents 😉\n\n**🚀 Call to Action: Free a Data Monkey**\n\nWe’re **live with pilot customers**, looking to **free more human data monkeys** of their lousy work!\n\nThe most relevant industries and teams are:\n\n* Industries: Investment management, reinsurance, life sciences\n* Teams: Risk & compliance, analytics, data & AI engineers\n\nContact us at [founders@parsewise.ai](mailto:founders@parsewise.ai) for more information and a demo.",
        "url": "https://www.ycombinator.com/launches/NW4-parsewise-extract-validated-data-from-complex-documents",
        "votes": 81,
        "created_at": "2025-05-14T17:25:55.072Z"
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    "id": 30458,
    "name": "Jeevy Fabrication",
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    "all_locations": "Cleburne, TX, USA",
    "long_description": "Jeevy Fabrication is an AI-powered contractor that connects complex weld jobs to the best-fit shops—fast. We deliver top-tier QA and total transparency, all at better traditional outsourced pricing.\r\n\r\nOur software reduces bid and scheduling time for our in-network shops by over 80%. It converts manufacturing drawings into an accurate bill of materials and a resource-loaded, high-fidelity schedule—eliminating costly errors and rework. Using this our in-network fabricators can bid on more jobs and deliver more reliable results than their competitors. \r\n\r\nWe also offer our clients a streamlined purchasing and project tracking experience. Clients submit purchase requests, track schedules, access key documents, and receive real-time photo updates—all in one place. We provide traceability for easy material review and maintenance of domestic content standards as required. Faster decisions, fewer delays, complete visibility. ",
    "one_liner": "AI Driven EPC - Weld Fabrication Contractor",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1746772622,
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    "nonprofit": false,
    "batch": "Spring 2025",
    "status": "Active",
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    "regions": [
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      "America / Canada"
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    "stage": "Growth",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/jeevy-fabrication",
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    "year_founded": 2025,
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    "country": "US",
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      "name": "Diana Hu",
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        "full_name": "Jeevesh Konuru",
        "title": "Founder",
        "founder_bio": "SpaceX || MIT BS/MBA || Stanford MS || Sloan MBA Dropout\n\nLed team of 8 engineers at SpaceX for several years building cryogenic loading systems in South TX. During surge projects would manage large teams of welders/technicians. Managed $110M budget for design, procurement and build of the template design of the propellant loading system for Starship. ",
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        "user_id": 607146,
        "full_name": "Vinay Konuru",
        "title": "Founder",
        "founder_bio": "Rondo Energy | Stanford | Princeton\n- Personal engineer to Rondo Energy founder John O'Donnell, rapidly developed core technical analysis to support $30M+ project sales cycles\n- Dropped out of Stanford University Master's of Engineering\n- Top prize at Princeton Research Day 2023 for development of a desktop direct air carbon capture system",
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        "title": "Backend Data + AI Engineer",
        "url": "https://www.ycombinator.com/companies/jeevy-fabrication/jobs/dRpwwvW-backend-data-ai-engineer",
        "location": "Dallas, TX, US / Cocoa Beach, FL, US / Remote (US)",
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        "role_type": "Full stack",
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      {
        "id": 90270,
        "title": "Jeevy Fabrication: The AI Fabrication Contractor",
        "tagline": "Meet Jeevy, the company re-imagining weld fabrication",
        "body": "# **TLDR**:\n\n# Jeevy Fabrication is a AI driven fabrication contractor for welded assemblies. We deliver higher quality QA and schedule transparency while maintaining competitive pricing.\n\nhttps://www.youtube.com/watch?v=4lB7YAlHF1U\n\n# **What we found**:\n\nIf you are building rockets to Mars or fusion systems, getting complex welded assemblies built to spec, on time, and on budget is mission-critical—**and incredibly hard**.\n\nOutsourcing to smaller weld shops can save money, but often at the cost of quality, schedule delays, and lost traceability. Precision assemblies often arrive dirty, out of spec, or late because these shops lack the project management horsepower needed to maintain the rigor high-stakes hardware demands.\n\n**Quick reality check:** Processing one drawing properly—with a detailed schedule, test plan, and QA flow—takes \\~9 hours. With only a 10% win rate on bids, a small shop could spend 90 hours just to land one job. That’s not scalable when you’ve got one or two engineers.\n\n# **Our approach**\n\nWe figured it would be awesome if we could offer the same high quality results of in-housing at the price of outsourcing a job. Our software reduces bid and scheduling time for our in-network shops **by over 80%**. It converts manufacturing drawings into an accurate bill of materials and a resource-loaded, high-fidelity schedule—eliminating costly errors and rework. Using these tools, our in-network fabricators can **spend less time bidding and deliver more reliable results than their competitors**. ‘\n\n**We handle the bids, purchase materials, and allocate jobs to shops in our network** that have the right capabilities and available capacity. By owning the job end-to-end, we ensure quality and adherence to key project milestones. In-network shops benefit from smarter scheduling tools and a steady stream of work to fill their downtime.\n\n# **About the Team**\n\n![uploaded image](/media/?type=post&id=90270&key=user_uploads/2560244/fd3594e1-0826-4e36-9631-04058ff16474)\n\nWe’re brothers—and that’s a desktop DAC (Direct Air Capture) we built together as a side project. We’ve always known we’d start a company together—it’s been part of the plan for as long as we can remember. And we’ve always said it had to be a rock ’n’ roll fueled adventure!\n\nOur dad was a serial entrepreneur, and dinner conversations were filled with stories and lessons from his ventures. That’s just how we grew up.\n\n**Jeevs**: Spent several years at SpaceX designing and building welded assemblies for launch pads in South Texas. The genesis of this idea came from the pain Jeevs experienced while sourcing parts for launch critical systems. “...why is there water in my cryogenic liquid oxygen pipe?? It’s like they’re trying to kill us!”\n\n**Vinay**: Several years of experience writing software for energy grid optimization projects. Worked at Rondo Energy designing and modeling grid scale heat batteries. He has a computer science and electrical degree from Princeton University.\n\n# **Our ask**\n\nNeed a welded part built? Know someone who does? Please let us know! ",
        "url": "https://www.ycombinator.com/launches/NTy-jeevy-fabrication-the-ai-fabrication-contractor",
        "votes": 88,
        "created_at": "2025-05-10T10:50:02.019Z"
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    "id": 30460,
    "name": "VoiceOS",
    "slug": "voiceos",
    "former_names": [
      "NuPhone",
      "Wako AI"
    ],
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    "website": "https://voiceos.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "VoiceOS turns voice into a seamless, universal interface to 10x productivity — a true voice operating system for the next era of computing.\r\n\r\nIt works across any app, letting users speak naturally to dictate, edit, and write text instantly. Whether writing an email, revising a document, or grasping complex information, VoiceOS transforms voice into the most powerful productivity tool, bridging the gap between thought and expression.",
    "one_liner": "Say it and it's done. Voice is the new OS",
    "team_size": 2,
    "industry": "Consumer",
    "subindustry": "Consumer",
    "launched_at": 1748319646,
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Spring 2025",
    "status": "Active",
    "industries": [
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    "regions": [
      "United States of America",
      "America / Canada"
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    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/voiceos",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/voiceos.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/wako-ai",
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    "primary_partner": {
      "name": "David Lieb",
      "url": "https://www.ycombinator.com/people/david-lieb"
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    "founders": [
      {
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        "full_name": "Jonah Daian",
        "title": "Founder/CEO",
        "founder_bio": "Spent the last 7 years building voice AI products. Now building a voice operating system designed for a world where AGI isn’t science fiction but a roadmap.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jonah-daian",
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        "full_name": "Kai Brokering",
        "title": "Founder",
        "founder_bio": "Born in Tokyo moved to the U.S. at 15 to dive into the tech scene. Building cool stuff in the voice AI space.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/francis-brokering",
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    "jobs": [
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        "title": "Part-Time Videographer & Video Editor",
        "url": "https://www.ycombinator.com/companies/voiceos/jobs/AGmOz5S-part-time-videographer-video-editor",
        "location": "San Francisco, CA, US",
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        "role": "Marketing",
        "role_type": null,
        "salary_range": "$35 - $40 / hourly",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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        "id": 117577,
        "title": "Customer Support & Discord Community Associate",
        "url": "https://www.ycombinator.com/companies/voiceos/jobs/JoBVk49-customer-support-discord-community-associate",
        "location": "Remote",
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        "role": "Support",
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      {
        "id": 97653,
        "title": "VoiceOS: The Siri for Productivity",
        "tagline": "VoiceOS is on a mission to turn your voice into 10X productivity across every app",
        "body": "Launch video: <https://youtu.be/QaVzPkH8JA0>\n\n## **The problem:** Typing sucks\n\nMost people use their keyboard **hundreds of times a day** and the costs adds up:\n\n* **Mental overhead** turning thoughts into words\n* Spending time **correcting** **your** **typos**\n* **Lost momentum** when context-switching\n\n![uploaded image](/media/?type=post&id=97653&key=user_uploads/1521900/9d0e1af6-686c-4738-959b-17b2155c6d88)\n\n## **The solution:** Voice as the new **OS**\n\nVoiceOS is a universal voice interface that converts **thoughts → polished output** instantly.\n\n* **Reply instantly:** _“Ask to reschedule for tomorrow”_ → replied instantly\n* **Better prompting:** Turn thoughts into perfect prompts effortlessly\n* **Works everywhere:** Works with any app with zero setup required\n\n![uploaded image](/media/?type=post&id=97653&key=user_uploads/1521900/f3639813-a12c-4f6f-9c88-c61b7429ae76)\n\n## **The team: Voice AI Pioneers**\n\nKai, on the left, with Jonah on the right. Over the **past 7 years** they’ve built voice AI solutions, from consumer products to Fortune 500 deployments. They are now building a **voice operating system** built for a **world where** **AGI** is no longer science fiction but an emerging roadmap.\n\n![uploaded image](/media/?type=post&id=97653&key=user_uploads/1521900/98299fdf-31e1-4bc5-b7ce-f9a6633ab874)\n\n## **Our ask**\n\nTry it out for free! <https://voiceos.com>\n\nUse discount code **YCLAUNCH**\n\n— Kai & Jonah",
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    "id": 30464,
    "name": "Sixtyfour",
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      "Sixtyfour AI"
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    "website": "https://www.sixtyfour.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Sixtyfour deploys AI agents that investigate people and companies across the open and dark web, official records, proprietary databases, and unstructured sources. We resolve identities, map entity relationships, and surface risk signals for teams where data quality is essential.",
    "one_liner": "Intelligence Infrastructure on People and Entities",
    "team_size": 12,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1747432267,
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    "year_founded": 2025,
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    "country": "US",
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      "url": "https://www.ycombinator.com/people/david-lieb"
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        "user_id": 804300,
        "full_name": "Saarth Shah",
        "title": "Founder/CEO",
        "founder_bio": "CEO @ Sixtyfour. Previously, engineering @ Whatnot (W20) and Deepgram AI (W16). UC Berkeley alum. Ex-Data Science Researcher @ Stanford Snyder & San Diego Supercomputer Center.",
        "is_active": true,
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        "full_name": "Christopher Price",
        "title": "Founder/COO",
        "founder_bio": "Cornell CS, AI CalHacks Winner, Prev @ Onyx (YC W24), Currently Building AI Agents for GTM",
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        "id": 105487,
        "title": "Growth Intern - Fall 2026",
        "url": "https://www.ycombinator.com/companies/sixtyfour/jobs/lPEgSOT-growth-intern-fall-2026",
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        "id": 102050,
        "title": "Sixtyfour - People Intelligence Infrastructure",
        "tagline": "Deploy thousands of AI agents to research any person or company.",
        "body": "👋 Hi, we're Saarth and Chris, co-founders of Sixtyfour (YC X25). \n\n<https://www.youtube.com/watch?v=9Q0aVTtXFM4>\n\n**The problem**\n\nIn 2025-2026 alone, Texas, Nevada, Indiana, and New Jersey all sued Discord for failing to identify predators on the platform.\n\nAnonymous accounts on Polymarket made $2.4M with a 98% win rate on Iran war bets.\n\nOnur Aksoy ran 19 shell companies and 25 Amazon storefronts, selling $100M in counterfeit Cisco gear that ended up on US military aircraft.\n\nToday, teams that need to follow it (Trust &amp; Safety, KYB, threat intel, due diligence) throw analyst teams at it. Still not trusting the answer after days or weeks of research. Not to mention it doesn't scale.\n\nBad actors slip through. People get harmed.\n\n**What we built** \n\nThe child predator's username. The scammer's banned accounts. The fraudster's shell company. \n\nAll of them leave a trail.\n\nImpossible to connect, but the trail was always there.\n\nOur agents have now made it possible to follow it.\n\nGive us one identifier (a name, email, phone number, username, or company name), and we deploy agents to recursively search the open web, dark web, social platforms, court records, and regulatory filings. Every signal is cross-referenced across thousands of sources. Every data point cited.\n\nCompanies using us today:\n\n* Cloaked uses us to uncover highly sensitive, hidden data about people, identifying attack vectors against their users.\n* TRM Labs uses us to attribute bad actors to real-world identities.\n* Airwallex uses us to screen counterparties for shell companies and AML risk.\n* Whatnot uses us to find qualified marketplace sellers that no platform can surface.\n* Surge, Turing, and Datacurve use us to source niche domain experts for AI training data.\n\nTo name a few.\n\n**Two ways to use it**\n\n1. App at [app.sixtyfour.ai](http://app.sixtyfour.ai)\n2. [API](https://docs.sixtyfour.ai/introduction) + [MCP](https://docs.sixtyfour.ai/developer-tools/mcp-setup) server to plug into Claude, Codex, Cursor, or your own stack\n\n\\\n**The numbers**\n\nIn the next couple of weeks, we’ll publicly release our benchmark results with independent validation from one of the world’s leading data labs.\n\nOur new deep people research system sets a new state-of-the-art, outperforming Gemini 3.1 Pro, Grok 4.20, GPT 5.4, Exa Deep Reasoning, and Parallel Ultra while running 3x faster than the closest competitor.\n\n![uploaded image](/media/?type=post&id=102050&key=user_uploads/804300/9d779b0d-a669-4606-991d-d7a595ab098e)\n\n\\\n**Our ask**\n\nWould really love Intros :) \n\n* Heads of Trust &amp; Safety, \n* Fraud, AML, or KYB at marketplaces, banks, and fintechs \n* Heads of Risk and Threat Intel at cybersecurity teams \n* Heads of Talent and Recruiting at hypergrowth companies\n* Companies needing people and company data enrichment solutions\n\n\\\nReach out at [saarth@sixtyfour.ai](mailto:saarth@sixtyfour.ai)\n\nHiding just got harder. Try it now at [app.sixtyfour.ai](http://app.sixtyfour.ai).\n\nSaarth, Chris &amp; the Sixtyfour team\n\n![uploaded image](/media/?type=post&id=102050&key=user_uploads/804300/b56fa1e1-efb9-4695-9e4f-d1af45d331dd)\n\n",
        "url": "https://www.ycombinator.com/launches/QXy-sixtyfour-people-intelligence-infrastructure",
        "votes": 21,
        "created_at": "2026-05-27T19:22:20.361Z"
      },
      {
        "id": 90535,
        "title": "Sixtyfour - Bloomberg Terminal for sales",
        "tagline": "We help hypergrowth companies deploy custom research agents that map their TAM and surface real-time, tailored market signals.",
        "body": "Enterprise sales teams spend 50% of their time on research that misses the mark. Here's why — and how we're fixing it.\n\nHey everyone! We’re Saarth & Christopher – the founders of Sixtyfour. 👋\n\n**TL;DR**\n\nSixtyfour AI is the Bloomberg Terminal for sales. We work with hypergrowth companies to deploy custom research agents that map their Total Addressable Market and deliver real-time market signals, fully tailored to what matters most.\n\nCustomers like **Mercor**, **Traba**, **Hockeystack**, and **Conduit** use Sixtyfour to stay ahead of the curve.\n\n<https://youtu.be/s45NR6diBPo>\n\n**🧠** **The Enterprise GTM Problem**\n\nIf you’re selling into a niche or regulated market ( health systems, manufacturing, fintech, govtech, and so on), you already know: generic data platforms don’t work.\n\nHere’s why:\n\n**💡 “Intent signals” are too broad**\n\nMost tools will tell you someone visited a pricing page. That’s not useful when you’re selling a $250K solution into a regional hospital network or a logistics hub in the Midwest.\n\n**🧱 The nuance is everything**\n\nEnterprise sellers ask real questions:\n\nDid that manufacturing facility just expand its fleet?\n\nDoes it have two or three parking bays?\n\nDid that nursing home file a new Medicare cost report?\n\nIs the new VP of Ops a better entry point than the outgoing admin director?\n\nThese are the signals that drive pipeline and predict fit, and no off-the-shelf platform can give you that.\n\n**🔍 Static filters can’t model your ICP**\n\nTry finding “companies that just adopted Drift, expanded their marketing team by 30%, and hired a new CRO in the past 90 days” in traditional tools. Impossible. Our agents live in that world\n\n**✨ The Sixtyfour Advantage**\n\nWe don’t sell contact lists. We build intelligence infrastructure for your GTM engine.\n\n**📍 Custom TAMs, always current**\n\nWe work with your team to define and continuously update your market using real-world, dynamic data — regulatory filings, facility attributes, staff movements, and even track infrastructure like parking lot size.\n\n**📡 Proprietary real-time signals**\n\nFrom Medicare cost report changes to decision-maker exits to new vendor adoption — we detect what matters to your team, as it happens.\n\n**🧠 Deployable custom ML models**\n\nHave internal data on close rates, deal velocity, or expansion triggers? We plug it in.\n\nWe can train and deploy custom ML models to estimate buyer readiness, ICP fit, churn risk, and more, directly tailored to your pipeline data.\n\n**🤖 Agents that think like your best rep**\n\nOur AI agents mirror your go-to-market motion, tracking, qualifying, and notifying you at the exact right time.\n\n**👥The Team**\n\nWe’re both repeat founders who have built and sold into complex markets.\n\nSaarth is a UC Berkeley Data Science grad and ex-Whatnot (YC W20), Deepgram (YC W16), and Stanford researcher. He built one of the earliest conversational AI agents (Dart) and has been shipping products since he was 10.\n\nChristopher, a Cornell dropout, led GTM at Onyx (YC W24) and built sales AI tools at Symbl. He’s a CalHacks AI winner and ex-analyst at Cornell Atkinson, with deep experience across AI, ops, and consumer tech.\n\nWe’ve lived the pain of building GTM systems by hand, and we’re building the platform we always wished existed.\n\n**👋 Our Ask**\n\n🏢 Know a GTM, RevOps, or sales leader at an enterprise or hypergrowth vertical SaaS company? Send them to [sixtyfour.ai](http://sixtyfour.ai) — we’d love to chat.\n\n💬 Frustrated with generic signals and shallow filters? Let’s build something that works for your team.\n\nEvery intro, share, and shoutout means the world. Thank you — we’re just getting started.\n\n![uploaded image](/media/?type=post&id=90535&key=user_uploads/804300/0c80ad45-4d97-43f6-8fed-9a5782416b19)\n\n",
        "url": "https://www.ycombinator.com/launches/NYF-sixtyfour-bloomberg-terminal-for-sales",
        "votes": 156,
        "created_at": "2025-05-19T22:27:28.413Z"
      }
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    "id": 30465,
    "name": "Photonium",
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    "all_locations": "New York City, NY, USA",
    "long_description": "Photonium is building software to automate optical system design. We supercharge optics experts with intelligent tooling to reduce costs and deliver faster. We handle the full design stack — from optimization, verification, sourcing, to prototyping — for AR/VR, quantum, biotech, metrology/chip fab, LiDAR, and more. ",
    "one_liner": "AI-Powered Optical Consulting & Software",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
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        "full_name": "Jennifer Song",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder of Photonium. Quantum Computing at Harvard/Stanford/QuEra",
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        "full_name": "Adam Mhatre",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder of Photonium. Computational Physics at Stanford",
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        "linkedin_url": "https://linkedin.com/in/adam-mhatre-5b8aaa230",
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        "id": 79020,
        "title": "Founding ML Engineer",
        "url": "https://www.ycombinator.com/companies/photonium/jobs/JEOfTqj-founding-ml-engineer",
        "location": "New York, NY, US",
        "type": "Full-time",
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        "salary_range": "$150K - $200K",
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      {
        "id": 90808,
        "title": "Photonium: AI-Accelerated Optical Design Automation ⚛️",
        "tagline": "Design optical systems faster and cheaper.",
        "body": "Hey YC!\n\nWe’re [Jennifer](https://www.linkedin.com/in/jennifer-y-song) and [Adam](https://www.linkedin.com/in/adam-mhatre-5b8aaa230/) - cofounders of Photonium.\n\n**TL;DR**\n\nPhotonium automates optical system design with AI, replacing costly manual iteration with end-to-end system optimization.\n\n**🚨 The Problem**\n\nOptical systems are mission-critical across many high-growth sectors — including quantum technology, biomedical imaging, LiDAR for defense and autonomous vehicles, and metrology for semiconductor fabrication.\n\nBut designing them is a nightmare:\n\n* Companies pour millions into teams of 20+ optical engineers\n* Projects take months or years to go from R&D to production\n* Tools are fragmented and outdated\n* Optimization is manual and often based on trial-and-error\n\nEngineers spend countless hours on repetitive workflows — constrained by tools that haven’t changed in decades.\n\n**⚙️ Our Solution**\n\nPhotonium is building the electronic design automation (semiconductor EDA) for optics. We work with complex optical setups across industries and handle the entire design process — from system generation and optimization to simulation, tolerancing, and sourcing.\n\nPhotonium enables companies to:\n\n* Generate and optimize designs from product specs\n* Predict tolerance impacts without slow simulations\n* Recommend data-driven alignment and manufacturing tweaks\n* Optimize for cost, size, and performance trade-offs\n* Seamlessly integrate with existing CAD workflows and optics simulation tools\n* Automate the full design-to-sourcing pipeline\n\n[Launch Video](https://youtu.be/YvX3Xr2_Gt8)\n\n**🚀 The Team**\n\nJennifer studied physics, math, and CS at Harvard and built quantum optics experiments across Harvard, Stanford, and QuEra (a Google-backed quantum computing startup).\n\nAdam studied computational physics at Stanford, and worked on plasma simulation for fusion and large-scale astrophysical modeling of black holes.\n\nWe’ve both felt the pain of inefficient engineering design firsthand — and built Photonium to fix it.\n\n⚛️ **Why This Matters**\n\nOptical systems are foundational to cutting-edge technologies, from quantum computing to semiconductor fabrication. Yet, outdated tools and fragmented workflows slow innovation and inflate costs. We hope to eliminate these bottlenecks and accelerate innovation across industries.\n\n📣 **Our Ask**\n\nIf you know anyone working with lasers and optics in any context, we’d love to chat! Contact us at [founders@photonium.ai](mailto:founders@photonium.ai)\n\n![uploaded image](/media/?type=post&id=90808&key=user_uploads/2467765/c27811f3-aa01-4860-9682-d3136973df3e)\n\n",
        "url": "https://www.ycombinator.com/launches/Nce-photonium-ai-accelerated-optical-design-automation",
        "votes": 51,
        "created_at": "2025-05-28T19:10:45.827Z"
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    "id": 30467,
    "name": "Opusense AI",
    "slug": "opusense-ai",
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      "Opusense AI",
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    "website": "https://www.opusense.com/",
    "all_locations": "Toronto, ON, Canada",
    "long_description": "Opusense AI automates field report writing for construction field inspectors. Instead of typing up notes at the end of the day, inspectors can now walk a site, speak observations aloud, snap photos, and let our AI assistant generate a detailed, organized report on-site and in real time.\r\n\r\nCombined, the founding team has over 15 years in the construction industry. Writing up these field reports used to take up at least 20% of the week. With Opusense, we cut that time by 5x. Our team combines deep construction experience with technical expertise, Roya has a PhD in civil engineering, and Michael has worked at multiple construction tech startups.\r\n\r\nWhy hasn’t this been done before? Construction is slow to adopt new tech, and reporting is messy, photos, voice notes, and field notes all live in silos. Turning that into a clear, structured report requires real insight into how inspectors work and what clients need. Only now, with advances in AI, can we process unstructured data adequately to generate high-quality reports in real time.\r\n\r\nThe opportunity is massive. Every inspection firm and contractor is struggling with documentation. Manual reports slow them down, create inconsistencies, and delay handoffs. We believe AI can do this better, and Opusense is proving it.",
    "one_liner": "AI for Field Inspection Reports",
    "team_size": 2,
    "industry": "Real Estate and Construction",
    "subindustry": "Real Estate and Construction -> Construction",
    "launched_at": 1746456872,
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    "isHiring": true,
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    "year_founded": 2024,
    "city": "Toronto",
    "country": "CA",
    "linkedin_url": "https://www.linkedin.com/company/opusense",
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        "user_id": 1672839,
        "full_name": "Roya Cody",
        "title": "Founder/CEO",
        "founder_bio": "Roya Cody is the co-founder and CEO of Opusense AI.\n\nShe holds a PhD in Civil Engineering and has over a decade of research and applied experience working at the intersection of AI, construction, and infrastructure inspection. Prior to founding Opusense AI, Roya contributed to multiple patents and led the development of AI-driven prototypes for cell phones and laptops. She bring a deep domain expertise in construction, AI and human-machine interaction.",
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        "full_name": "Michael Bacani",
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        "founder_bio": "Co-Founder & CTO of Opusense. Prior to becoming a founder I was an engineer at construction tech startups. Now, I'm streamlining report writing for construction and engineering consulting firms. \n\nWide knowledge base, now specializing in AI and construction.",
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        "id": 96641,
        "title": "Software Engineer",
        "url": "https://www.ycombinator.com/companies/opusense-ai/jobs/1Hurax2-software-engineer",
        "location": "CA / Remote (CA)",
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        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": [
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      {
        "id": 90178,
        "title": "Opusense – AI-Powered Field Reports for Site Inspectors",
        "tagline": "Opusense is an AI-powered reporting assistant on-site, cutting errors, saving hours per day, and helping projects move faster without compromising standards.",
        "body": "# **TL;DR**\n\nOpusense turns field notes, voice memos, and photos into fully formatted inspection reports **automatically**. Used by engineers and inspectors in construction, infrastructure, and consulting to save time each day, reduce errors, and keep branding consistent. It’s like having a reporting assistant in your pocket!\n\n📌 Interested in using Opusense at your firm? Book a demo: [cal.com/royac](http://cal.com/royac)\n\n🎥 Launch video https://www.youtube.com/watch?v=hV26sN5Buls\n\n# **❌ The Problem**\n\nMost field teams still rely on writing notes by hand and typing them into Word templates hours or even days after leaving the site. It’s slow, error-prone, and easy to fall behind. For firms managing dozens of active sites, the reporting backlog is the most painful part of the job. No engineer enjoys writing the same reports over and over. It’s an overlooked market, but consultants are on every construction site, and inspections in the US alone make up a $30B industry.\n\n# **✅ Our Solution**\n\n**Opusense is your AI-powered reporting assistant.**\n\n📱 On-site just open our mobile app and speak or type notes, and snap photos\n\n🧠 Our AI turns raw inputs into structured reports tailored to your firm’s format and style\n\n📄 Instantly export as Word or PDF — zero formatting needed\n\nIt works offline on any phone or tablet  — no laptop, no end-of-day chaos.\n\n_Field oversight for managers back at the office? Don’t worry_ —  _we’ve got a solution for that!_\n\nOur users also have access to a web interface which shows real-time reports as they are generated.\n\n![uploaded image](/media/?type=post&id=90178&key=user_uploads/1672839/9dcabf16-bcf2-44f0-b457-eb31559ce72d)\n\n![uploaded image](/media/?type=post&id=90178&key=user_uploads/1672839/dea94169-a70b-4bf9-98dc-2a0d63210a2e)\n\n![uploaded image](/media/?type=post&id=90178&key=user_uploads/1672839/3b3b5009-bbe4-46bf-829d-80f44f8d83c3)\n\n# **💼 Who It’s For**\n\n* Engineering consultants (third-party consulting firms)\n  * Across all field departments (BQA, Structural, Environmental, Geotechnical, etc.)\n* Site inspectors\n\nWe’re already live with multiple firms across North America including multinational corporations.\n\n# **🛠 The Backstory**\n\nOur CEO Roya has a PhD in Civil Engineering from the University of Waterloo and a MSc in Advanced Infrastructure Systems from Carnegie Mellon. She previously worked as a site inspector at engineering consulting firms, where the firsthand frustration of field reporting inspired Opusense. Our CTO Michael has a background in ECE from the University of Waterloo. He focused on building AI systems in the fields of robotics and self-driving cars and previously worked in startups in the construction industry, giving him insight into what users need in this field. We created Opusense because reporting was the worst part of the job, so we decided to get rid of it. \n\n![uploaded image](/media/?type=post&id=90178&key=user_uploads/1672839/70a68664-803c-439d-a73a-1d54936691f8)\n\n# **Let’s Chat**\n\nKnow someone who deals with field reporting chaos?\n\nWant to try Opusense yourself?\n\n✉️ Shoot me an Email: [rcody@opusense.com](mailto:rcody@opusense.com)\n\n🌐 Learn more: [opusense.com](http://opusense.com)",
        "url": "https://www.ycombinator.com/launches/NSU-opusense-ai-powered-field-reports-for-site-inspectors",
        "votes": 174,
        "created_at": "2025-05-07T18:28:15.651Z"
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    "id": 30471,
    "name": "Kaizen",
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    "website": "https://kaizenautomation.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Kaizen is a digital employee that helps healthcare providers get patients into care faster. It processes referrals, verifies insurance benefits, manages prior authorizations, and handles provider credentialing across the systems teams already use. Kaizen works with $100M+ healthcare providers to drive seven-figure ROI with AI.",
    "one_liner": "Automate anything on the web.",
    "team_size": 6,
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    "url": "https://www.ycombinator.com/companies/kaizen",
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    "country": "US",
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        "body": "The purpose of software is fundamentally changing, from platforms that track your work, to agents that complete work on your behalf. We’re building [Kaizen](https://www.kaizenautomation.com/), the platform for building software that does work on the web.\\\n\\\nHey y’all! We’re [Ken](https://www.linkedin.com/in/ken-acquah-45b397123/) & [Michael](https://www.linkedin.com/in/michael-silver-853952129/) — the founders of Kaizen!\n\n**📚 TL;DR**\n\nWith Kaizen, developers can integrate with any web application **in minutes, instead of weeks**. **Leading AI companies** use Kaizen to read and write from legacy portals in **logistics**, **healthcare**, and **financial services**.\n\n[Launch Video](https://youtu.be/flw30r5vWyk)\n\n### 🔗 **The Integration Problem**\n\nIn most industries, **the biggest bottleneck to automation is integration**. In these sectors, operators will interface with hundreds of web applications: between systems of records, customer portals, and proprietary internal software. **Building integrations across all these systems was previously impossible, leaving much of the economy mired in repetitive, manual workflows.**\n\nFor software vendors in these industries, this pain is most acute. Long integration times **stall customer onboarding, halt product velocity, and strictly bound the value they can provide to customers**. Startups are forced to choose between severe limits to feature capabilities and staffing large internal “integration” teams.\n\nAs AI agents rapidly scale, **this problem only gets worse**. Tools like voice agents, AI scribes, or procurement copilots are ready to work _on behalf_ of users but are stopped in their tracks by authenticated websites without UIs.\n\n### **🥁Introducing: Kaizen**\n\n**💻 How does it work?**\\\nWithin [Kaizen](https://www.kaizenautomation.com/), developers construct a set of “blocks” describing your automation. We leverage computer use models to create deterministic automations for any website.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXf7WyATvregN5i_3XfB-drcta62yQeAn6vSWWJFjJAxwd63FfPN31VNK7TgUfE_mopwAAPx88yzyvzLBeo7T_kn0vSdFb1RS1UFiYi_0KGDekc8sz0OWS1ZvQwtBh8-PoIXRymocA?key=_Ybxg5buJr7nan_b4Td9Og)\n\nKaizen exposes a powerful [API](https://docs.kaizenautomation.com/api-reference/workflows/execute-a-workflow), developers can use to programmatically trigger automations. With Kaizen, your application can automatically complete forms, retrieve critical business data, and execute end-to-end processes on behalf of your users.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXfCeKs_JBambiElHCLRdIe5484RmX7rSfb1epyQBw-104cm3oWotpzWofcQvJrqx_CfBglkynZmrphexWRcg2zPdOlB2hA5Oe0I1mbN1or9fjAx6sY7nptmsCbiM5OcQplJGwE-9Q?key=_Ybxg5buJr7nan_b4Td9Og)\n\n**🕵️ Who’s it for?**\\\nKaizen helps engineering teams in traditional industries (logistics, financial services, healthcare, insurance) accelerate their integration roadmap. 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        "body": "Hi everyone - we’re Rene and Ian, ex-AWS AI & Security, and we’re thrilled to introduce [Casco](https://casco.com)! Casco prevents AI agents and apps from messing up by evaluating them for security, safety, and accuracy.\n\nCasco already secures AI systems deployed in 60% of Fortune 500 companies.\n\nhttps://youtu.be/SWPnB-GADdE\n\n**The Problem** \n\nCompanies building AI agents and apps face a disproportionate amount of cybersecurity threats that put their business at risk. 73% of enterprises experienced at least one AI-related security incident (that they know of) in the past 12 months, with the average incident cost amounting to $4.8m. It takes 40% longer for companies to identify and address these AI-related incidents.\n\nExisting solutions do not work for these companies:\n\n1. Automated scans yield low-quality, noisy security findings.\n2. Thorough security evaluations are cost-prohibitive to most companies.\n3. New AI attack vectors are emerging faster than companies can adapt.\n\n**Our Solution: Casco’s supervised, agentic red-teaming**\n\nCasco proactively uncovers critical vulnerabilities before attackers do. Here’s how:\n\n1. **Sophisticated, AI-Driven Attack Simulation:** Casco uses advanced techniques, just like an expert human red teamer, to devise and execute multi-step attacks against your AI agents and apps.\n2. **Human-Validated Expertise:** The AI evaluations are supervised and validated by our team, ensuring high-fidelity findings. We’ve built and secured AI systems, applications, and cloud infrastructure at AWS, Microsoft, and the US government.\n3. **Actionable, Compliance-Ready Reports:** Casco provides comprehensive reports with reproduction steps, risk explanations, and remediation guidance, aiding compliance with SOC 2, NIST AI RMF, EU AI Act, and ISO 27001.\n\n**Our Story**\n\nAs founding members of the Generative AI team at AWS (Lead Engineer + Security, Head of Product), we witnessed the evolving landscape of AI agents and applications. We identified emerging security gaps as traditional security practices struggled to keep pace with this new paradigm.\n\nRecognizing the critical need to secure AI systems, we decided to build Casco. Our mission is to empower builders to innovate confidently, knowing their AI systems are secure.\n\n**Secure your AI agent and apps**\n\nIs your AI agent or app secure?\n\n* [**Book a Demo**](https://calendar.app.google/LZybyH27Pd4ScXPk6) to secure your AI systems",
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        "title": "Lucis - Live 100 healthy years from a simple blood test",
        "tagline": "Lucis turns regular blood tests into actionable health insights",
        "body": "Hey YC [👋](https://emojipedia.org/waving-hand)\n\nWe’re [Max B](https://www.linkedin.com/in/maximeberthelot/), [Baptiste](https://www.linkedin.com/in/bdebever/), and [Max G](https://www.linkedin.com/in/maxguerois/) - co-founders of [Lucis](https://www.lucis.life/).\n\n### **TL;DR**\n\n**Lucis turns regular blood tests into actionable health insights - so people can act before it’s too late.** In 4 months, we’ve helped 500 people in Paris get ahead of chronic diseases. Today, we’re expanding across Europe.\n\nhttps://youtu.be/a5fX1K5hnvU\n\n### **The Problem In Europe**\n\n85% of deaths are caused by preventable chronic diseases. That’s more than 4 million lives lost every year just in Europe. Yet, the healthcare system remains reactive, and people receive care only after something goes wrong.\n\nThose seeking comprehensive preventive care, including blood testing, analysis, and expert guidance, typically resort to private longevity clinics that charge over €50K per year. **Such premium healthcare remains inaccessible to the vast majority of people.**\n\n### **Lucis: Health Insights in Your Pocket**\n\n_“If you're tired of being in the dark about your health, not knowing where you stand or what to do next, Lucis is built for you.”_\n\nLucis goes beyond vague checkups and unreadable lab reports. It provides a clear health baseline, tracks progress over time, and translates complex biomarker data into personalized guidance people can actually implement in their daily lives. All at a fraction of the cost of a private clinic.\n\nYou’ll get answers to questions like:\n\n_\"Am I aging faster than I should?\"_\n\n_\"Is my testosterone at a healthy level for my age?\"_\n\n_\"How can I improve my next marathon performance?\"_\n\n![uploaded image](/media/?type=post&id=90454&key=user_uploads/1454634/0a347d82-7c9b-4fef-8c72-bf70511ce761)\n\nHere’s how it works:\n\n* 2 full health check-ups per year\n* See how your body’s doing with 15 health scores and your biological age - and track your progress over time.\n* Personalized action plan across nutrition, sleep, and movement\n* Access to longevity add-on tests, like microbiome, continuous glucose monitoring, and food sensitivity tests.\n\n### **The Team**\n\nWe started Lucis because we’ve lived the problem ourselves.\n\nBaptiste lost a close relative to a condition that could’ve been caught earlier. Max B has spent the last decade deep in biohacking, testing everything from supplements to wearables. At 27, Max G turned his health into an experiment - tracking sleep, diet, and training - and improved nearly all of his biomarkers in the process. We know what it’s like to search for clarity and get none.\n\n**Lucis is what we wish we had - and now, we’re building it for everyone else.**\n\n![uploaded image](/media/?type=post&id=90454&key=user_uploads/1454634/830d7470-4a85-446e-b427-38ec7343d441)\n\n### **Since launching our beta just 4 months ago:**\n\n* **30,000+ people** have joined our European longevity community.\n* **30+ lab locations** opened across France\n* **2 new European cities** - now live in Lisbon 🇵🇹 and London 🇬🇧\n* **500+ people in Paris** used Lucis to get ahead of chronic illness\n* **10 AI Startups** have gifted Lucis as a health benefit for their employees\n\n## \n\n### **Our Vision**\n\n**Lucis isn’t just a product - we’re building a completely new healthcare system in Europe.** One that lives with you. And works for you quietly, every day.\n\nWe started with blood, but our ambition goes far beyond a single input. We are building Lucis, the intelligence layer for your health. Right in your pocket.\n\n### **Ask**\n\nIf this resonates with you\n\n* Know someone in Europe who wants to live 100 healthy years? Use **“YCHEALTHY5”** for a 5% discount at checkout. 👉 [Lucis for you](https://www.lucis.life/)\n* Want to gift Lucis to your employees? 👉 [Lucis for Startups](https://www.lucis.life/for-startup)\n* For anything else, contact us at [founders@lucis.life](mailto:founders@lucis.life)\n\n![uploaded image](/media/?type=post&id=90454&key=user_uploads/1454634/6e40d23b-ed02-4d06-809b-20c4c1bb48fc)\n\n",
        "url": "https://www.ycombinator.com/launches/NWw-lucis-live-100-healthy-years-from-a-simple-blood-test",
        "votes": 102,
        "created_at": "2025-05-16T05:50:28.747Z"
      }
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  },
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    "id": 30484,
    "name": "throxy",
    "slug": "throxy",
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    "website": "https://throxy.com/",
    "all_locations": "London, England, United Kingdom",
    "long_description": "throxy builds custom vertical AI agents and pairs them with human SDRs and ultra personalised email sequences to book meetings for B2B software companies selling into traditional industries (e.g. manufacturing, logistics, construction, supply chain)\r\n\r\nOutbound is broken. Generic automation gets ignored and decision-makers in legacy sectors are hard to reach. Most of your TAM isn't even on LinkedIn, and tools like Clay, Apollo, and ZoomInfo only cover about 65% of the market. throxy fixes this by running bespoke, fully managed outbound systems for software sales teams trying to crack these industries. We use proprietary scraping tools to map your entire addressable market, then combine AI agents with human experts to deliver hyper-personalised email campaigns and human cold calling that is consistently generating six-figure qualified pipelines.\r\n\r\nSince 2023, throxy has powered outbound for B2B software companies, from industrial SaaS to fintech providers, replacing the need for internal SDR teams or stacks of tools with a solution that outperforms on both speed and quality. Today, we have a team of 55 across London and Cape Town, booking on average 8 to 12 qualified meetings per month per client, with some clients seeing 20+ in their first weeks after we doubled down on human-led cold calling.\r\n\r\nAI handles the data: building custom databases, scoring leads against your ICP, and personalising outreach at scale. Humans handle the conversations: real cold calls, real emails, real relationships. That's the difference between us and every AI SDR on the market.\r\n\r\nOur founding team has built AI at JP Morgan, scaled businesses from age 14, and led enterprise sales from Seed to Series D. We're not just automating outbound, we're redefining what sales execution looks like for software companies selling into traditional industries.\r\n\r\nthroxy is the \"AI SDR\" purpose-built for the sectors software forgot.",
    "one_liner": "Vertical AI agents running B2B outbound on autopilot, with human SDRs",
    "team_size": 55,
    "industry": "B2B",
    "subindustry": "B2B -> Sales",
    "launched_at": 1745521572,
    "tags": [
      "B2B",
      "Sales",
      "Automation",
      "AI"
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    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Spring 2025",
    "status": "Active",
    "industries": [
      "B2B",
      "Sales"
    ],
    "regions": [
      "United Kingdom",
      "Europe"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/throxy",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/throxy.json",
    "year_founded": 2023,
    "city": "London",
    "country": "GB",
    "linkedin_url": "https://www.linkedin.com/company/throxy/",
    "x_url": "https://x.com/throxyai",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5384c6c535d7bcbaf2c4cee7af212ec06f70e79d.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Pete Koomen",
      "url": "https://www.ycombinator.com/people/pete-koomen"
    },
    "founders": [
      {
        "user_id": 1343484,
        "full_name": "Arnau Ayerbe Garcia",
        "title": "Founder/CEO",
        "founder_bio": "making it easier to speak with your ideal customers.\n\nno more repetitive manual outreach.\n\nthe future is human connections.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/arnau-ayerbe",
        "x_url": "https://x.com/arnauaye",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d9e71a30d2dbad290115d0ca608d4a196a6376bd.jpg"
      },
      {
        "user_id": 1547143,
        "full_name": "Pablo Jimenez de Parga Ramos",
        "title": "Founder",
        "founder_bio": "we call your ideal customers so you can close more deals.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/pjdepargar",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/07f49c122418cf03b199bd4a8fc6acd40592f8eb.jpg"
      }
    ],
    "jobs": [
      {
        "id": 95056,
        "title": "Sales Development Representative (SDR)",
        "url": "https://www.ycombinator.com/companies/throxy/jobs/ncqidMq-sales-development-representative-sdr",
        "location": "Cape Town, WC, ZA / Cape Town, Western Cape, ZA / Johannesburg, GP, ZA / Johannesburg, Gauteng, ZA / Remote (ZA)",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "£45K - £55K GBP",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 95747,
        "title": "Summer Intern",
        "url": "https://www.ycombinator.com/companies/throxy/jobs/bgsg88w-summer-intern",
        "location": "London, England, GB / Remote",
        "type": "Internship",
        "role": "Sales",
        "role_type": null,
        "salary_range": "£25K - £55K GBP",
        "equity_range": "",
        "experience": null,
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 108617,
        "title": "Software Engineer",
        "url": "https://www.ycombinator.com/companies/throxy/jobs/BJ4GQ0I-software-engineer",
        "location": "London, England, GB",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "£70K - £120K GBP",
        "equity_range": "0.01% - 0.05%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": [
          "Amazon Web Services (AWS)",
          "TypeScript"
        ]
      }
    ],
    "news": [
      {
        "title": "Base10-backed Throxy challenges AI sales giants with pay-per-meeting model",
        "url": "https://venturebeat.com/ai/base10-backed-throxy-challenges-ai-sales-giants-with-pay-per-meeting-model",
        "date": "Sep 04, 2025"
      }
    ],
    "launches": [
      {
        "id": 90134,
        "title": "throxy | Book meetings without the busywork.",
        "tagline": "You want more meetings, but outbound? Total nightmare. We’ll fix it for you.",
        "body": "Hey everyone 👋 — we’re **Bergen**, **Pablo**, and **Arnau**, and we’re building **throxy**.\n\nHiring SDRs is expensive. Managing tools is a full-time job. Agencies spam your market and burn trust.\n\nWe started throxy in 2023 because we lived the chaos, and knew there had to be a better way.\n\n<https://www.youtube.com/watch?v=3q1Ud9V5GP8>\n\n### ❌ The Problem\n\n* Building an SDR team takes months, and burns $150K+ before you see results.\n* Tool stacks (Clay, Instantly, Apollo, etc.) require constant management and constantly break.\n* Most agencies rely on automation and generic messaging that _kills trust_.\n\nCompanies selling into legacy industries suffer most, where reaching the right decision-makers requires **trust, precision, and care**.\n\nIf you’ve sold into sectors like manufacturing, logistics, healthcare, or finance, you’ve felt it: **complex buyers, long sales cycles, and real consequences.**\n\nSpray-and-pray doesn’t work here.\n\n**We win where others fail — in industries where trust isn’t optional, and precision means pipeline.**\n\n### ✅ Why Throxy Wins\n\nWhere most AI sales tools generalise, **we specialise**.\n\nWe design, build, and run **fully-managed outbound systems, so you don’t have to** — combining AI-powered execution with human-level strategy.\n\nYou tell us your ICP and how many meetings you want. We handle the rest.\n\n* 🔍 **AI-powered research** to find real decision-makers — not just job titles\n* ✍️ **Hand-written** **messaging** with your buyer’s language — not templates\n* 🛠 **Deliverability stack**: domains, warmup, inboxes — all done for you\n* 🧠 **Human-led strategy** from operators who’ve sold in these sectors\n* 📅 **Qualified meetings**, delivered to your calendar — no tools, no SDRs, no micromanagement\n\nWe’re already generating **six figures in pipeline** for B2B companies selling into hard-to-crack industries like manufacturing, logistics, finance and healthcare. Built for founders, CEOs, CROs, and sales teams.\n\n![uploaded image](/media/?type=post&id=90134&key=user_uploads/1293483/4da51dcd-3789-4946-af08-86ccf54ca594)\n\n### 💡 Why We're Building This\n\nWe believe outbound should be **automated, intelligent, and deeply humanised,** not a messy stack of disconnected tools and guesswork.\n\nSales teams should focus on building relationships and closing deals, not juggling tools, bloated teams or manual workflows.\n\n**throxy’s vision is a world where outbound is fully automated yet precisely human, freeing up human capital to think, connect, and close.**\n\n### 👋 Meet the Founders\n\n* **Bergen** built his first online business at 14 and brings operational execution at scale\n* **Pablo** ran enterprise sales from Seed to Series D, and knows how to break into tough markets\n* **Arnau** led early GPT-2 and BERT systems at JP Morgan and drives AI & product\n\n### 👇 Want to see what “done-for-you” outbound _actually_ looks like?\n\nWe’re live. We’re booking meetings.\n\nAnd we’re looking to partner with more companies targeting traditional industries.\n\nIf you're scaling outbound and are not getting results, let us run your outbound, so you can run your business.\n\n📬 [founders@throxy.com](mailto:founders@throxy.com) | 🌐 [throxy.com](https://throxy.com/?utm_source=ycombinator&utm_medium=post&utm_campaign=yc_launch&utm_id=yc_launch)\n\n![uploaded image](/media/?type=post&id=90134&key=user_uploads/1293483/b5efeb76-2c0b-48ef-91c4-eeb1b4939e5f)\n\n",
        "url": "https://www.ycombinator.com/launches/NRm-throxy-book-meetings-without-the-busywork",
        "votes": 200,
        "created_at": "2025-05-06T15:16:43.124Z"
      }
    ]
  },
  {
    "id": 30491,
    "name": "Novoflow",
    "slug": "novoflow",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5dc1e2e5cc8a224ba29a91be64f14ab1fbc9cde3.png",
    "website": "https://www.novoflow.io/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Novoflow deploys AI agents that operate on any medical practice’s EHR to automate its biggest operational bottlenecks. Deployment takes weeks and does not require staff to change how they work. Built for healthcare providers and hospitals.",
    "one_liner": "Computer-using agents for healthcare operations",
    "team_size": 6,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Healthcare Services",
    "launched_at": 1746560485,
    "tags": [
      "Health Tech"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Spring 2025",
    "status": "Active",
    "industries": [
      "Healthcare",
      "Healthcare Services"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/novoflow",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/novoflow.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/novoflow/",
    "x_url": "",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/novoflow",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5dc1e2e5cc8a224ba29a91be64f14ab1fbc9cde3.png",
    "app_video_url": null,
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    "company_photos": [],
    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
    },
    "founders": [
      {
        "user_id": 1763646,
        "full_name": "Mathieu Rihet",
        "title": "Founder/CEO",
        "founder_bio": "Emory University Scholar. Previously a medical interpreter. Building AI employees to automate 99% of manual workflows in medical clinics.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/mathieurihet/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6c7c8fdefac7062408f2e79b186c4baace6f1678.jpg"
      },
      {
        "user_id": 1530512,
        "full_name": "Georges Casassovici",
        "title": "Founder/CTO",
        "founder_bio": "Always take small steps in the right direction. Building Novoflow to solve healthcare interoperability in the next 5 years.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/thegeorgesc/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2734700313c86207c4a85f76f0c9df01ad0d1538.jpg"
      }
    ],
    "jobs": [
      {
        "id": 77593,
        "title": "Founding Software Engineer",
        "url": "https://www.ycombinator.com/companies/novoflow/jobs/796IkzL-founding-software-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$100K - $300K",
        "equity_range": "1.00% - 2.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "TypeScript",
          "Computer Vision",
          "Machine learning",
          "Prompt Engineering"
        ]
      },
      {
        "id": 78374,
        "title": "Account Executive",
        "url": "https://www.ycombinator.com/companies/novoflow/jobs/Oj2B3T7-account-executive",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$130K - $200K",
        "equity_range": "0.10% - 0.25%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 84780,
        "title": "Founding Prompt/Context Engineer",
        "url": "https://www.ycombinator.com/companies/novoflow/jobs/w8PtWcB-founding-prompt-context-engineer",
        "location": "San Francisco, CA, US / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$150K - $250K",
        "equity_range": "0.80% - 1.80%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Python",
          "TypeScript",
          "Prompt Engineering"
        ]
      },
      {
        "id": 84917,
        "title": "Founding DevOps Engineer",
        "url": "https://www.ycombinator.com/companies/novoflow/jobs/lyMBJRq-founding-devops-engineer",
        "location": "San Francisco, CA, US / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $250K",
        "equity_range": "0.80% - 1.80%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Amazon Web Services (AWS)",
          "TypeScript"
        ]
      }
    ],
    "news": [
      {
        "title": "Pitch Deck: Novoflow Founders Raised $3 Million Out of Y Combinator - Business Insider",
        "url": "https://www.businessinsider.com/novoflow-pitch-deck-y-combinator-founders-raised-3-million-2025-10",
        "date": "Nov 03, 2025"
      }
    ],
    "launches": [
      {
        "id": 90451,
        "title": "Novoflow - The next-generation AI call center for the healthcare industry",
        "tagline": "AI receptionist that automates phone calls for medical clinics. ",
        "body": "Hey everyone 👋\n\nWe’re **Georges and Mathieu — co-founders of Novoflow**.\n\n### **TL;DR**\n\nNovoflow’s multilingual voice agent answers every inbound & outbound call, schedules directly inside any EHR (Epic, Athena, Medent—even 1990s HL7 feeds), and slashes no-shows. Clinics can reclaim **up to $50k/month** on average in missed revenue without hiring another receptionist.\n\nhttps://youtu.be/LQA-QeiY_F4\n\n### **❌ The Problem**\n\nThe old reception model is breaking. Outsourced call centers, dead-end IVRs, and half-integrated schedulers still miss 42% of patient calls. Each unbooked physician hour stacks into a $50,000 monthly loss in revenue per average independent clinic. Medical practices are stuck because decade-old and proprietary EHRs can’t accept real-time integrations from next-gen solutions.\n\n### **🏥 Our Solution**\n\n**Full-stack AI receptionist**\n\n1. **24 / 7 voice AI** greets patients in 25+ languages, verifies insurance, and classifies intent in real-time.\n2. **Universal EHR plumbing** writes, reschedules, or cancels appointments natively inside any system.\n3. **One-hour go-live**: point our SIP trunk at the clinic’s number—no new phones, no code.\n4. **Dashboard & KPIs**: abandonment, call-to-appointment conversion, provider utilization, no-show rate.\n\nEarly adopters project a **10% jump in provider utilization** and a **22% lift in call-to-appointment conversion**—with happier patients to match.\n\n### **🙏 Our Ask**\n\n* Know an independent clinic, multi-specialty group, or surgery center bleeding revenue to missed calls?\n* Have friends or family running front-desk operations that need multilingual coverage?\n* Want to beta-test features like outbound recall automation or balance-due collection?\n\n👉 Intro us! We’re only onboarding **3 more clinics this month**.\n\n[mathieu@novoflow.io](mailto:mathieu@novoflow.io) | [georges@novoflow.io](mailto:georges@novoflow.io)\n\n### **Why We’re Building This**\n\nWe spent two years as French & Spanish medical interpreters. Receptionists called us after hours because patients couldn’t communicate, and clinics lost money while care was delayed. We realized **voice AI + universal EHR integration** could fix the bottleneck for the 100k+ clinics still trapped by legacy software.\n\n### **👬 The Team**\n\n* **Georges** – CMU engineer and in the voice AI agent space for 5+ years.\n* **Mathieu** – Emory University Scholar, ex-medical interpreter, been in the healthcare space for 2+ years\n\n![uploaded image](/media/?type=post&id=90451&key=user_uploads/1763646/7ced6963-dce3-4c84-8854-0c11fbe5cf2f)\n\nWe fly on-site, launch the same week, and target **$40k+ monthly savings** per clinic.\n\nThanks for reading — tear apart our approach, ask tough questions, or just say hi!",
        "url": "https://www.ycombinator.com/launches/NWt-novoflow-the-next-generation-ai-call-center-for-the-healthcare-industry",
        "votes": 51,
        "created_at": "2025-05-15T22:01:37.968Z"
      }
    ]
  },
  {
    "id": 30494,
    "name": "Nixo",
    "slug": "nixo",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3442ddefa8f2ffb38f683757efc6de9a1e78890b.png",
    "website": "https://withnixo.com/",
    "all_locations": "San Francisco, CA, USA",
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        "full_name": "Priya Khandelwal",
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        "title": "Nixo - The first ops platform for forward deployed engineers",
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        "body": "TL;DR We enable forward deployed engineers to cut time to customer impact.\n\nhttps://youtu.be/e5mBrBmGAFM\n\nYou wouldn’t give a Formula 1 driver a Honda Civic with rocket engines strapped on. But that’s what most companies do to their FDEs right now. These engineers MacGyver their way through every customer project using sales, technical, and support infrastructure that was never meant to accelerate what FDEs do. The result? Companies hit a wall sooner than they should. FDEs are overextended, and there’s no room to take on more customers.\n\n**Most orgs think custom implementations are slow because each one is too unique. In reality, FDEs lose days chasing customers for details and redoing overlapping work.**\n\nWe talked to 100+ FDEs to build the ops platform that finally cuts the friction and bloat slowing them down.\n\n**With Nixo, you can** **scope customer problems faster, discover opportunities to reuse code, and get instant visibility into workload across accounts.** Our approach is simple but effective: we pull information from Slack, GitHub, Linear, and CRMs, and organize it to match the flow of real FDE work.\n\n![uploaded image](/media/?type=post&id=93052&key=user_uploads/878307/50a6e373-27e1-4c98-98d6-ec4676fc3fff)\n\nHi 👋 we’re Priya and Priti. As FDEs at startups, we felt the pain of managing high-touch deployments without the right tools. And as more teams deploy AI into complex customer environments, we believe the FDE model is here to stay. But making it sustainable and scalable takes more than just iPaaS or better coding agents — it takes the right ops infrastructure.\n\nIf you're selling to enterprises, building agents for verticals, or scaling your FDE team, you’ll want to see what we’re working on. Reach out to [**priya@withnixo.com**](mailto:priya@withnixo.com) or [**schedule a 15 minute chat**](https://cal.com/priya-nixo/15min).",
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        "title": "Founding Mobile Engineer, Go-to-Market",
        "url": "https://www.ycombinator.com/companies/qualgent/jobs/gfKTJsx-founding-mobile-engineer-go-to-market",
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        "id": 95907,
        "title": "QualGent V3: A fully capable, self-healing agentic mobile QA platform",
        "tagline": "The wait is over. Unleash your AI mobile QA workforce now.",
        "body": "We just dropped the biggest update in our history, and we’re opening the gates. We didn’t just build a smarter brain; we built the entire nervous system. QualGent V3 is now a fully capable, self-healing agentic mobile QA platform that integrates directly into your app development and release lifecycle.\\\n\\\nhttps://youtu.be/A6DUE6C20Mw?si=GEW13qMS49jN_s8G\n\n**The V3 upgrades:**\n\n🚀 **Instant Self-Serve:** No waitlists. Sign up, upload your app, write tests in plain English and run 1000s of parallel tests _today_. \n\n⚡ **Parallel Cloud Scale:** Run your entire regression suite on thousands of real devices and emulators concurrently. What used to take your QA team 3 days now takes your AI workforce 30 minutes.\n\n**🔗 Deep Workflow Integration**\n\n* Native integrations for **GitHub CI/CD**, **Slack**, and **Linear**. Bugs go straight to your issue tracker; results go straight to your team.\n* **Developer APIs:** Complete control. Customize your automation workflow for uploads, triggers, and reporting via our new API.\n\n📱 **Total Coverage**\n\n* **Landscape & Tablets:** We’ve unlocked landscape testing across tablets and mobile browsers. Any device. Any orientation.\n* **Multi-Account Magic:** New **Credential Management** handles login rotations seamlessly for multi-user testing.\n\n🔓 **Enterprise Control**\n\n* **Smart Dashboard:** Track every test by **app build**. See exactly which commit caused the regression.\n* **Bulk Runs:** Use **Category Tagging** to trigger specific suites (e.g., \"Smoke,\" \"Checkout,\" \"Payments\") instantly.\n\n🧠 **Self-Learning & Self-Generating**\n\n* **Agentic memory:** Our AI agents don't just execute; they now learn. With memory layers, v3 remembers past interactions, learning from every bug and successful flow to get smarter with every run.\n* **AI Test Creation Agent**: Don't just automate execution; automate creation. Our agent writes the test cases for you based on the context it learns about your app.\n\nWith QualGent V3, we’ve moved beyond testing automation, this is testing orchestration. Legacy QA automation is technical debt. QualGent V3 is technical leverage. Stop testing manually and maintaining brittle test scripts. Start commanding an autonomous AI QA workforce.\n\n**Deploy your AI workforce now:** https://qualgent.link/qualgent-ai \n\n![uploaded image](/media/?type=post&id=95907&key=user_uploads/2593639/022cc71f-5e30-464c-8822-76f8a506b0b7)\n\n",
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        "created_at": "2025-12-01T23:33:14.419Z"
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        "id": 90415,
        "title": "QualGent: AI Quality Assurance agent for mobile software testing",
        "tagline": "Test Mobile Apps with Natural Language on Real Devices in the Cloud",
        "body": "Today, we’re launching QualGent, an AI Quality Assurance agent for mobile that helps companies catch more bugs and ship much faster without hiring more human QA testers. One customer hit **#3 in the App Store’s Education category** by improving their app quality and release process with QualGent.\n\nhttps://youtu.be/k1eSm6QvO9c\n\n**🐛 The Problem: Mobile QA is a Bottleneck**\n\nShipping a great mobile app is hard. Even top teams struggle with flaky end-to-end tests, missed edge cases, and regressions that slip past CI.\n\nScript-based automation tools like Playwright, Selenium, Appium or Espresso break often. Visual diff tools miss functional bugs. And in-house human QA teams can’t scale with today’s release cycles.\n\nCTOs, VPs, Directors of Eng, and QA leads at fast-growing companies are asking:\n\n> Why does our test suite say green when our users say broken?\n\n**🛠️ Why We Built This: From frustrated mobile engineers to reinventing QA**\n\nWe’ve been mobile engineers at Google who shipped products like Android XR, Quick Share, Stadia, and foldable phones. We’ve seen firsthand how slow, flaky QA can derail a great product. We built QualGent so teams can catch real bugs faster, ship with confidence, and stop wasting time maintaining fragile tests.\n\nWe're grateful to be part of the YC community and excited to bring modern AI to a painful, expensive problem that slows down almost every mobile team we’ve met.\n\n**⚙️ The Solution: QualGent - Your AI QA Copilot**\n\nQualGent uses computer-use LLM agents and vision models to mimic a real human tester:\n\n1. You describe a test in natural language (“Sign up, go to settings, change theme”)\n2. Our AI agent runs that test on real iOS and Android devices in the cloud\n3. It taps, swipes, scrolls, types, speaks, listens - just like a human\n4. And gives you video, logs, and test reports for every step\n\nNo more rigid scripting. No more emulator-only limits. No more test maintenance hell.\n\nOur AI agent self-heals, handles dynamic pop-up content, navigates unexpected UI changes, and catches bugs like a pro.\n\n**🧠 Our Vision: Complete the AI coding-testing loop to ship quality products 100x faster**\n\nOur vision is to close the loop on software creation. As AI enables engineers to code 100x faster, QualGent eliminates the next bottleneck—software verification—unlocking truly scalable, end-to-end product-driven software development.\n\n**📢 Try it and Help Us Spread the Word: Let’s reimagine mobile QA together**\n\n1. Book a demo with us and see QualGent in action on your app!\n2. Know someone leading mobile engineering? We’d love a warm intro.\n\nWe rethought what QA could be with AI, you’ll want to test this. Let’s make releasing great mobile apps a joy again.\n\nhttps://qualgent.ai\n\n![uploaded image](/media/?type=post&id=90415&key=user_uploads/297983/ad94ce99-b2ca-43c6-91b8-0131fbe39fc2)\n\n",
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        "created_at": "2025-05-14T21:59:31.952Z"
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    "id": 30498,
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        "full_name": "Emmett Goodman",
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        "full_name": "Victor Miller",
        "title": "Founder/CTO",
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        "id": 99714,
        "title": "Founding Applied AI Engineer",
        "url": "https://www.ycombinator.com/companies/alkali/jobs/3iTB9w5-founding-applied-ai-engineer",
        "location": "New York, NY, US",
        "type": "Full-time",
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        "role_type": "Machine learning",
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        "id": 90604,
        "title": "Alkali – The AI Copilot for Chemical Process Design",
        "tagline": "Build chemical projects faster.",
        "body": "**TL;DR:** Scaling a chemical process from lab-scale result to commercial plant can take years and hundreds of millions of dollars. Alkali’s Engineering Copilot (ProcessMate) uses AI to catch process design errors and automate equipment sourcing – keeping your projects on time and on budget.\n\n[Demo!](https://www.youtube.com/watch?v=JRsBGalf-7k)\n\n**The Problem:**\n\nAs chemical engineers, we’ve seen how design errors and procurement delays derail project schedules and budgets:\n\n* **Engineering Rework:** Projects often undergo 10+ design iterations due to incorrect equipment selection, overlooked safety requirements, or careless design errors.\n* **Procurement Delays:** Complex part sourcing, manual quote/response workflows, and relentless vendor follow-up (chasing confirmations, shipments, exceptions) can delay projects by months.\n\n![uploaded image](/media/?type=post&id=90604&key=user_uploads/2744343/38799444-2d92-431e-9e5c-807e9fe1bbbb)\n\n**Our Solution:**\n\n[Alkali Engineering](https://alkali.engineering/)’s ProcessMate platform streamlines error checking and procurement. Free engineers to do creative work, get projects built on time!\n\n1. **AI-Driven Design Checks** – Like an engineering spell-check for your schematics, AI identifies design errors before it’s too late.\n2. **Smart Equipment Selection** – Cross reference your engineering designs and vendor catalogues to help you get the right parts, faster.\n3. **Version Control & Chat Interface** – Interpretable version control for engineering schematics. Version control is no longer just for software engineers!\n\n![uploaded image](/media/?type=post&id=90604&key=user_uploads/2744343/c4d82b46-885d-4547-b33e-ede8406b033f)\n\n**The Team:**\n\n* [Emmett Goodman](https://www.linkedin.com/in/emmett-goodman/) (PhD, Stanford – ex-AWS GenAI Labs): Led delivery of GenAI solutions for AWS’s flagship customers, showcasing “art of the possible” solutions.\n* [Victor Miller](https://www.linkedin.com/in/victor-v-a514248b/) (PhD, Berkeley – ex-Shell Engineer): Led 8-figure chemical engineering infrastructure projects.\n\n**Our Ask:**\n\nWe’re looking to talk to:\n\n* Project managers fighting schedule overruns\n* Industrial vendors wanting faster RFP/RFQ cycles\n* EPC/Engineering firms interested in piloting AI-driven design validation and procurement\n\n👇 Know someone who fits? Email us at [founders@alkali-eng.com](mailto:founders@alkali-eng.com) !",
        "url": "https://www.ycombinator.com/launches/NZM-alkali-the-ai-copilot-for-chemical-process-design",
        "votes": 53,
        "created_at": "2025-05-21T21:21:07.352Z"
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    "id": 30500,
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    "one_liner": "Voice data for AI",
    "team_size": 10,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1747861843,
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    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/besimple-ai/",
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      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
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        "user_id": 2527745,
        "full_name": "Yi Zhong",
        "title": "Founder/CEO",
        "founder_bio": "Currently co-founder & CEO at Besimple AI, building the human-interaction data layer for emotionally intelligent AI.  \n\nPrior to Besimple, I was a PM lead at Meta for its AI Integrity team, building large scale AI systems to detect problematic contents and accounts.  I also worked as a PM at Microsoft and Dropbox, after graduating from MIT in 2016.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/yzhong94/",
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      {
        "user_id": 2544844,
        "full_name": "Bill Wang",
        "title": "Founder/CTO",
        "founder_bio": "Shenzhen-born, Rhode Island-brewed, Bay Area-domesticated. While at Meta, launched 7 products and killed 2. Most recently, led the GenAI Annotation team, developing an in-house annotation platform for training LLaMa. Previously, managed an engineering organization responsible for improving connectivity for over 300 million users and optimizing 70%+ of Meta's annual SMS spend.\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/8illwang/",
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    "jobs": [
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        "id": 96880,
        "title": "Audio QA Lead - Part Time Contractor",
        "url": "https://www.ycombinator.com/companies/besimple-ai/jobs/mKH99fq-audio-qa-lead-part-time-contractor",
        "location": "San Mateo, CA, US / Remote (US)",
        "type": "Contract",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$25 - $45 / hourly",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 97432,
        "title": "Strategic Projects Lead — Audio Data",
        "url": "https://www.ycombinator.com/companies/besimple-ai/jobs/yWfhhOR-strategic-projects-lead-audio-data",
        "location": "San Mateo, CA, US",
        "type": "Full-time",
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        "role_type": null,
        "salary_range": "$140K - $160K",
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        "experience": "Any (new grads ok)",
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      },
      {
        "id": 110630,
        "title": "Community Growth Manager, Contributor Acquisition",
        "url": "https://www.ycombinator.com/companies/besimple-ai/jobs/pDSSREY-community-growth-manager-contributor-acquisition",
        "location": "San Mateo, CA, US / Remote (US)",
        "type": "Contract",
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        "role_type": null,
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        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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      },
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        "id": 116834,
        "title": "RL Environment Engineer (Full-time, Part-time, or Contract)",
        "url": "https://www.ycombinator.com/companies/besimple-ai/jobs/dPIlkr6-rl-environment-engineer-full-time-part-time-or-contract",
        "location": "San Mateo, CA, US / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "AI engineer",
        "salary_range": "$160K - $360K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
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        "id": 116900,
        "title": "Linguist - Speech & Conversational AI",
        "url": "https://www.ycombinator.com/companies/besimple-ai/jobs/uTWqXak-linguist-speech-conversational-ai",
        "location": "San Mateo, CA, US / Remote (US)",
        "type": "Contract",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$30 - $60 / hourly",
        "equity_range": "",
        "experience": "3+ years",
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        "title": "Announcing our seed round led by YCombinator - Besimple AI",
        "url": "https://besimple.ai/blog/announcing-our-seed",
        "date": "Dec 05, 2025"
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    ],
    "launches": [
      {
        "id": 90653,
        "title": "Besimple AI – Spin up your own data annotation platform in 60 seconds🚀",
        "tagline": "We make data annotation simple",
        "body": "Hey there!  We are [Yi](https://www.linkedin.com/in/yzhong94/) and [Bill](https://www.linkedin.com/in/8illwang/), from [Besimple AI](https://www.ycombinator.com/companies/besimple-ai)!  Struggling with data annotation?  Keep reading!\n\n💎 **TLDR**\n\nWith Besimple, you can generate your own platform for annotating AI eval and training data instantly.  Simply paste or stream any type of raw data and we'll instantly generate a tailored annotation interface, clear guidelines, an automated human-in-the-loop workflow, and AI judges to scale your insights.\n\nhttps://www.youtube.com/watch?v=Hw-EVKdOhds\n\n## **❌ The Problem**\n\nHigh-quality, human-reviewed data is essential for improving AI models. But teams today face significant challenges:\n\n* **Complex LLM Workflows**: Most AI startups and even the largest AI companies use spreadsheets for annotations to “move fast”. It is brittle. And it breaks down quickly for dynamic, multimodal, agent-based LLM use cases.\n* **Annotation Bottlenecks**: As models get better, only domain experts and someone on your team can improve model performance.  They quickly get overwhelmed when guidelines and data change constantly. This is expensive and slows model iteration.\n* **No Feedback Loop**: After a model ships, interesting production data isn’t automatically fed back into evaluation or training, missing opportunities for ongoing improvement.\n\n## **✅ Our Solution:** \n\n1. Instant custom UI: Just paste or stream your data and we create a custom annotation UI for your task.  We support text, chat, audio, video, LLM traces, and more. \n2. Tailored guidelines: Import any existing guidelines or we will draft new ones aligned with your business goals, ready for annotation\n3. AI Judges for real-time evaluation: LLM-based “judges” continuously learn from incoming annotations to evaluate live traffic and flag borderline cases for human review.\n4. Enterprise-grade deployment: On-prem optional install, and robust user management for internal SMEs, external vendors, or Besimple’s vetted annotators.\n5. Lightning fast setup: No code, no plugins—just drop in your data, set guidelines, and you’re good to go.\n\n**Traction:** The leading AI grading company Edexia uses besimple to annotate hundreds of decisions and improve their evals.\n\n## **The Team**\n\nWe’re **Yi Zhong** and **Bill Wang** —who built the annotation platform for Meta’s Llama models. We founded Besimple AI to help everyone spin up a Scale AI in 60s.\n\n# **🙏 Our asks**\n\nWe’re on a mission to make _continuous, high-quality data_ the easiest part of AI development. If that resonates, let’s chat!\n\n1. Reach us at [**founders@besimple.ai**](mailto:founders@besimple.ai)\n2. Book demo [here](https://calendly.com/yi-besimple/besimple-ai-intro-call).\n3. Or join our self-serve waitlist on our [website](https://besimple.ai/)!\n\nWe’ll show you how to launch a custom annotation platform in under a minute!",
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        "votes": 332,
        "created_at": "2025-05-22T20:14:47.012Z"
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    "id": 30503,
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    "one_liner": "The Agent-Native Computer",
    "team_size": 10,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1747133222,
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        "full_name": "Henrik Hansson",
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        "full_name": "Ludvig Swanstrom",
        "title": "Founder",
        "founder_bio": "Co-Founder at Vesence. YC-Backed. Forbes 30u30. Former Pro-Basketball Player.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ludvig-swanstr%C3%B6m-73ab49114/",
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        "title": "Founding BDR (Business Development Representative)",
        "url": "https://www.ycombinator.com/companies/vesence/jobs/YTaHNCr-founding-bdr-business-development-representative",
        "location": "San Francisco, CA, US",
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        "salary_range": "$120K",
        "equity_range": "0.05% - 0.10%",
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        "id": 110543,
        "title": "Founding GTM",
        "url": "https://www.ycombinator.com/companies/vesence/jobs/4sRUhpe-founding-gtm",
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        "url": "https://www.vesence.com/blog/seed-round-announcement",
        "date": "Oct 28, 2025"
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      {
        "id": 90570,
        "title": "Vesence: Cursor for Transactional Lawyers",
        "tagline": "AI Agents inside of Microsoft Office for Transactional Law Firms. ",
        "body": "**TL;DR:** We are building Cursor for Lawyers. We turn Microsoft Word into an IDE for contracts, and build agents operating in the background. Our initial focus is on Transactional Law Firms, and agents built for quality-assuring projects and documents according to the firm’s best practice.\n\nWe have already rolled out Vesence firm-wide at our first enterprise client with a lot of love from both associates and partners.\n\nKnow any Transactional Lawyers? Let’s connect: [founders@vesence.com](mailto:founders@vesence.com).\n\nhttps://www.youtube.com/watch?v=Nr1Q7S6A84I\n\n**Problem:**\n\nImagine programming in Apple Notes.\n\nNo linting, no cursor, you are on your own.\n\nThat is how it is for many lawyers to draft and review contracts in Microsoft Word.\n\nAt law firms, the stakes are extremely high. Every mistake can hurt your reputation badly. Associates need to deliver under time pressure, partners demand extreme attention to detail, and your clients will not accept any blunders.\n\nGiven the attention to detail needed in the work, working on complex projects under constant time pressure, we are starting with quality-assuring agents (i.e. a linting system for contracts).\n\nThe consequences of shipping \"bugs\" in a legal document can be catastrophic, but even the best firm still rely on manual review to catch mistakes.\n\n**What We’ve Built**\n\nVesence offers quality assurance AI agents available straight in Microsoft Word to handle tasks such as:\n\n* **Apply firm-wide Standards**: Apply writing style guides and best practices consistently across all practice groups in the firm\n* **Ensure project-level alignment**: Flag inconsistencies across multiple deal documents, for example auto-checking the SPA against the original term sheet\n* **Verify document consistency**: Catch defined term slips, bad cross-references, logical gaps, and miscalculations within a single document\n\n![uploaded image](/media/?type=post&id=90570&key=user_uploads/2486274/99f83828-eeb2-4d36-9c69-e8401e4ab7b5)\n\n**Why This Matters**\n\nLet’s hear it from our users:\n\n“You saved me 4 hours last night.”\n\n“I’m never sending out a document/project again unless I’ve used Vesence.”\n\n“This is how AI should feel like. Intuitive and extremely helpful.”\n\n**Associates** love Vesence as they can produce exceptional internal deliveries under less pressure to seniors and partners. **Partners** love the tool as their teams hand them better quality work and follows the firm’s best practices.\n\nThe interest we have seen from transactional law firms is great, but we also received inbound from other professional service providers that care deeply about quality and the reputation of their firms, including Investment Banks and Management Consultants.\n\nBasically, the holy trinity of where the ‘pls fix’ culture thrives.\n\n**Who We Are**\n\n![uploaded image](/media/?type=post&id=90570&key=user_uploads/2486274/e3b7f4e8-f03a-448d-9af8-fabe96a9feea)\n\nThe founders **Henrik Hansson** and **Ludvig Swanström** have known each other for 8 years, and worked together at the YC startup Depict S20 (founded by the CEO and Founder of Lovable).\n\nTo build Vesence, we spent a couple of months living at a law firm, to refine the product and user experience alongside lawyers.\n\nWe have already rolled out the product firm-wide at a law firm.\n\n**Our Ask**\n\nKnow any partners, innovation managers, or associates at transactional law firms? Please connect us!\n\nHave you ever worked at a law firm, management consultancy firm, or an investment bank and faced brutal pls fix tasks? Please share them with us!\n\nReach out to us at: [founders@vesence.com](mailto:founders@vesence.com)",
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        "votes": 32,
        "created_at": "2025-05-20T20:03:01.272Z"
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    "name": "Klavis AI",
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    "long_description": "Powering frontier AI labs with complex, long-horizon agentic coding and tool-use data.",
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        "full_name": "Xiangkai Zeng",
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        "founder_bio": "Co-founder @ Klavis AI. Previously Senior Software Engineer on Google Gemini at Google Deepmind. Co-authored Gemini paper. I have a CS MS from Carnegie Mellon University. I have a Bachelor of Engineering in Computer Science and Technology from Beihang University.",
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        "full_name": "Zihao Lin",
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        "id": 96767,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/klavis-ai/jobs/tEVtDPg-founding-engineer",
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    "launches": [
      {
        "id": 90202,
        "title": "Klavis AI: Open Source MCP integrations for AI Applications",
        "tagline": "Klavis AI is open source MCP integrations for AI Applications. Our API provides hosted, secure MCP servers, eliminating auth management and client-side code.",
        "body": "![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXfaf-JCp7xVd7cfcFqnv8fCZLojSwklRbqBbGneCbhutbc4iEcgcNNQ46j73KsOKaN3qH5fhVCVUQQpp696KnBWJfz5DnhcuS5nqKod2-9Fn2p-LJ3Yd9rEM9zIJg11ce5bTmkp-Q?key=HpOTxrRvVOxut3yp-iTaNhMb)\n\nHey Everyone 👋,\n\nWe are [Xiangkai](https://www.linkedin.com/in/xiangkai-zeng/) and [Zihao](https://www.linkedin.com/in/zihaolin123/) - co-founders of [Klavis AI](https://www.klavis.ai/).\n\n**TL;DR**\n\nKlavis AI provides [open source](https://github.com/Klavis-AI/klavis) MCP integration for AI applications. Integrate enterprise-grade MCP servers with your AI application in a minute, and scale to millions of users using our open-source, hosted MCP servers with multi-tenancy auth, and skip MCP client-side development hassle.\n\n**Ask:** Can you introduce us to companies working on AI agents and applications that need different external integrations? Contact us at [xiangkaiz@klavis.ai](mailto:xiangkaiz@klavis.ai).\n\nLaunch video: https://youtu.be/HFn5xWC6cAk\n\n**The Problem**\n\n* **Missing Native Authentication & User-based Authentication:** Lack of built-in and user-based authentications in MCP servers creates security risks and adds development complexity, hindering production use.\n* **Lack of Enterprise-Grade Servers:** Available MCP servers are frequently underdeveloped personal projects, lacking stability, features, and remote capabilities essential for enterprise environments.\n* **Client-Side Connection Barrier**: Accessing MCP servers requires developing the clients, creating technical overhead and hindering adoption, especially for existing function calling infrastructures that lack native MCP support.\n\n**The Solution**\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXcq7Lridm_hh7ACd4DFh6Zcsc38dMU3Kp8X9MdK55P_JuQVQ-ZMA6Pc75Qs7C0wc3vDdjlMOVmTCHNVZ-5MUpNbrLibGrFzzcARZme9csIpjPP5yENtddc01TW1newc1A1pGFepKw?key=HpOTxrRvVOxut3yp-iTaNhMb)\n\nKlavis AI solves these problems by:\n\n* **Secure, Enterprise-Grade Hosted Servers:** Launch stable, enterprise-grade MCP servers instantly via API. Our hosted solution includes built-in OAuth & multi-tenancy auth, eliminating security gaps and complexity.\n* **Skip Client Development Hassle:** Use our API to connect any remote MCP servers from your existing backend, or let users interact immediately through our pre-built Web, Slack, and Discord clients.\n* **Trust Through Open Source:** Our MCP servers and clients are open source, ensuring transparency and fostering community trust.\n\n**Concrete Example**\n\nImagine you want your AI agent to interact with your company's Jira. Instead of building a custom Jira integration and wrestling with authentication, use Klavis AI. With simple API calls, you instantly get a secure, hosted Jira MCP server ready to go. It handles OAuth and user-level authentications automatically, letting your AI securely query tickets right away – no MCP client coding required.\n\n**Why Us**\n\n![uploaded image](/media/?type=post&id=90202&key=user_uploads/259581/6621b1de-ea41-46f4-bc9e-97b0676a7c97)\n\nXiangkai previously worked as a Senior Software Engineer on the Google Gemini at Google Deepmind. His work involves building the function calling infrastructure for Gemini and supporting multiple Gemini agentic feature launches. The challenges in the MCP space resonate strongly with his background, and he's very excited to bring his insights and energy to accelerate innovation here.\n\nZihao previously worked on Lyft’s Rider team and Nordstrom’s analytical data platform team, with expertise in scaling systems for millions of users and NLP background from University and Master studies.\n\n**🙏 Our Asks**\n\n* **Share & Intro:** Can you share this post and introduce us to companies working on AI agents and applications that need different external integrations?\n* **Connect:** Email me at [xiangkaiz@klavis.ai](mailto:xiangkaiz@klavis.ai) if you’d like to learn more or chat.",
        "url": "https://www.ycombinator.com/launches/NSs-klavis-ai-open-source-mcp-integrations-for-ai-applications",
        "votes": 187,
        "created_at": "2025-05-08T15:47:33.275Z"
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    "all_locations": "Ann Arbor, MI, USA",
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        "full_name": "Chad Rigetti",
        "title": "Founder/CEO",
        "founder_bio": "I build quantum computers. Founder of Rigetti Computing (YC S14, NASDAQ: RGTI). ex-IBM. Yale Ph.D. ",
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        "full_name": "Idalia Friedson",
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        "id": 103101,
        "title": "Applied AI Scientist, Technology Partnerships (Senior/Principal)",
        "url": "https://www.ycombinator.com/companies/sygaldry-technologies/jobs/lJARmJZ-applied-ai-scientist-technology-partnerships-senior-principal",
        "location": "San Francisco",
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        "title": "Exclusive: Chad Rigetti’s Sygaldry raises $139 million to bring quantum hardware to AI data centers | Fortune",
        "url": "https://fortune.com/2026/04/14/exclusive-chad-rigettis-sygaldry-raises-139-million-quantum-hardware-ai-data-centers/",
        "date": "Apr 14, 2026"
      },
      {
        "title": "This Startup Wants to Harness Quantum Computing to Make AI More Affordable",
        "url": "https://www.inc.com/claire-cameron/this-startup-wants-to-harness-quantum-computing-to-make-ai-more-affordable/91221377",
        "date": "Aug 12, 2025"
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    ],
    "launches": [
      {
        "id": 90775,
        "title": "Sygaldry: Quantum-Accelerated AI Servers",
        "tagline": "Solve AI cost and energy bottlenecks by exponentially speeding up training and inference",
        "body": "We’re Chad Rigetti and Idalia Friedson, and we’re building Sygaldry. Chad Rigetti is in second-time founder mode with Sygaldry, having built quantum computing company Rigetti Computing from YC S14 to a public company (NASDAQ: RGTI). Idalia Friedson, former Chief Strategy Officer at Strangeworks, helped Chad take Rigetti public in 2022 after starting the world’s first quantum policy center at the Hudson Institute.\n\n**Why Sygaldry?**\n\nSygaldry’s quantum-accelerated AI servers will allow companies to innovate more quickly, improve margins, and deploy better AI products by providing speedups at a fraction of the cost and energy of GPUs alone.\n\nhttps://youtu.be/X7NxwNPHpQM\n\n**The Problem:**\n\nAI progress demands more chips, more power, and more data centers—a **trajectory that is physically and environmentally unsustainable** with purely classical infrastructure.\n\n**The Solution:**\n\nAugment classical infrastructure with quantum processors built for AI, since quantum can provide exponential speedups for specific AI tasks. **Sygaldry is building quantum-accelerated AI servers to speed up training and inference and creating tools for AI researchers to integrate quantum capabilities into AI models and workflows.**\n\n**The Impact:**\n\n* Reduce the time between model releases\n* Fine-tune existing models faster\n* Enable faster token generation for distributed LLMs\n* Unlock faster inference for diffusion models\n* Conduct greater exploration in novel model architecture\n* Leverage secure quantum communication channels\n* Increase AI affordability, accessibility, and personalization\n\n**Sygaldry’s Unique Approach:**\n\nMost quantum computers are built using one type of quantum bit, but each qubit has distinct strengths and weaknesses. **Sygaldry AI servers combine multiple qubit types within a single, fault-tolerant architecture to leverage their strengths, while avoiding their limitations.** This is the same way classical computers are made. We believe this approach to quantum will seem obvious in retrospect.\n\n![uploaded image](/media/?type=post&id=90775&key=user_uploads/41143/6f4e8dd7-291c-4c1e-aa0a-d4cb91a7b129)\n\n**Get Involved:**\n\nWe envision a future of affordable, sustainable, personalized, and secure AI. If you are at the frontier of AI and committed to building this version of the future, please get in touch with us. We’d love to work together.\n\n**Contact Us:**\n\nEmail: [letsbuild@sygaldry.com](mailto:letsbuild@sygaldry.com)\n\nFollow us at @sygaldry_tech",
        "url": "https://www.ycombinator.com/launches/Nc7-sygaldry-quantum-accelerated-ai-servers",
        "votes": 40,
        "created_at": "2025-05-27T16:22:26.496Z"
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    "id": 30512,
    "name": "MorphoAI",
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    "website": "https://morpho.ai/",
    "all_locations": "New York City, NY, USA",
    "long_description": "We're building an AI powered platform for engineers that are building new robots and machines. \r\n\r\nWe allow users to invent and modify machine designs in a matter of minutes, not years. Ayna and Andy, the co-founders, met during their time at Harvard and started this in 2024 as their programs were wrapping up. We're commercializing 10+ years research done by our team at Harvard and MIT on this space. Our team wrote the very first papers on applying GenAI and optimization algorithms to compose robots from parts and applying computational design to fine tune machine designs. We're bringing in our deep knowledge of modifying equipment and integrating it into factories keenly understanding what makes hardware hard. \r\n\r\nWe take in parts under consideration, constraints and tasks at hand and our algorithm formulates and fine tunes from 100s of possible design options. All in a few clicks, so engineers can push hardware to market faster and companies can benefit from the inventions being done by their R&D teams. We already have two paying customers in the OEM and system integrator spaces. \r\n\r\nWe are venture backed and supported by a GBP 2.5MM grant by ARIA, the UK Government's invention agency. ",
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    "team_size": 7,
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    "subindustry": "Industrials -> Manufacturing and Robotics",
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    "year_founded": 2024,
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    "country": "US",
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        "full_name": "Ayna Arora",
        "title": "Founder/CEO",
        "founder_bio": "Building an AI Powered CAD platform for robotics and machine engineers. Backed with a grant from the UK government. Founded 2 businesses in manufacturing tech previously, setting up factories each time (one of them is now series B). Former VC (software, manufacturing, and CPG focus). Harvard MBA / Industrials + Manufacturing undergrad. ",
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      {
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        "full_name": "Andrew Spielberg",
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        "founder_bio": "\n\nCTO of MorphoAI - interested in simulation methods, design algorithms, and digital manufacturing processes.",
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        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/morphoai/jobs/aTiZdB8-founding-engineer",
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      {
        "id": 90214,
        "title": "MorphoAI - AI‑powered computer‑aided invention for robotics and machine engineering",
        "tagline": "Turn parts and task requirements into working machine designs in minutes, not years.",
        "body": "We’re Ayna and Andrew, and we’re building [MorphoAI](https://morpho.ai/). We’re a team of manufacturing tech experts and MIT PhDs who have written 30+ papers on foundational research of AI design methods for robotics engineering. We met at Harvard last year and decided to help people develop hardware at the speed of software. \n\nIn our research, we demonstrated capabilities that allowed engineers to generate 100s of verified optimal designs from parts and task requirements in minutes, and now we’re translating those findings to a product for robotics & automation. We’re cutting R&D cycles by 50 %+ and letting teams ship better hardware, faster!\n\nhttps://www.youtube.com/watch?v=iGmXIsoUc2Y&feature=youtu.be\n\n### **Problem**\n\nDesigning a new robot, machine, or work‑cell still feels like 1985: weeks of manual CAD drawing, long prototype‑and‑test loops, and “does it even work?” uncertainty. A single product can take 40‑100 iterations and burn through months of engineering time. This all amounts to $240B spent on mechanical design each year. https://www.morpho.ai/ \n\n### **Our Take**\n\nWhat if you could take requirements and ideas into _validated machine designs_ automatically? We’re building that for hardware—so engineers can explore more, better-performing designs, fine-tune the ones likely to work, and land on an optimal design before the first part is cut. Engineers input and tasks and constraints (_what the robot must do)_ and their favorite parts to build with, and MorphoAI’s software auto‑generates, verifies, and fine tunes manufacturable designs in minutes—cutting R&D cycles by 50 %+ and letting teams ship new hardware faster. \n\n### **The MorphoAI Platform**\n\n1. **Generate** hundreds of verified design candidates from parts and task requirements in minutes, and select the concepts to fine-tune.\n2. **Simulate** full‑dynamical behavior with optimal, verified controllers.\n3. **Optimize** for cost, performance, weight, manufacturability, and more.\n\nThe result is a ready‑to‑manufacture machine design, programmable motions, and BOM—delivered in minutes, not months.\n\n### **Team**\n\n* **Ayna Arora** (CEO, Co-founder) – Harvard Business School; Former VC, 2x founder in manufacturing tech setting up factories across the world.\n* **Andy Spielberg, PhD** (CTO, Co-founder) – MIT CSAIL; Harvard PostDoc (digital manufacturing). 30+ papers on Optimization algorithms in robotics design.\n* Founding team: Allan Zhao (MIT PhD on GenAI for robot design), Amira Abdel-Rahman (Havard + MIT PhD on design for hardware) Han Wang (simulation expert in research+industry).\n\nWe’re also backed by ARIA (UK Government’s Invention Agency) with a 2.5MM GBP Grant.\n\n### **What’s Possible Today**\n\nOur early users are:\n\n* Resizing robot geometry and motors to maximize reach and payloads.\n* Redesigning workcells to minimize costs, design time, and improve margins.\n* Auto-generating new end-of-arm tooling designs from parts in hours, not weeks\n\n### **Big Picture**\n\nMorphoAI is the “compiler” for the physical world. As we expand our capabilities, any company will be able to invent machines that were previously infeasible— shrinking $MM R&D budgets and accelerating everything from factory automation to medical innovation to planetary exploration.\n\n### **Let’s Talk**\n\nBuilding a new robot or a new cutting-edge machine? We’d love to talk. Drop us a note at [**hello@morpho.ai**](mailto:hello@morpho.ai) .",
        "url": "https://www.ycombinator.com/launches/NT4-morphoai-ai-powered-computer-aided-invention-for-robotics-and-machine-engineering",
        "votes": 24,
        "created_at": "2025-05-08T17:40:20.776Z"
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    "id": 30513,
    "name": "Eloquent AI",
    "slug": "eloquent-ai",
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    "website": "https://www.eloquentai.co/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We automate complex, regulated operations in financial services—no APIs, no engineering required.\r\nWe hit $500K ARR in just four weeks because customers deploy instantly.\r\nOur AI Operator learns by observing existing workflows and SOPs, securely controlling browser and desktop applications to automate up to 96% of tasks.\r\n",
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    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1743955975,
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        "full_name": "Tugce Bulut",
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        "founder_bio": "Tugce is the co-founder of Eloquent AI and a serial entrepreneur. Previously, she founded Streetbees, scaling it into a 200-person global AI company with $80M in VC funding and multi-million dollar enterprise deals with Fortune 500 clients. \n\nShe began her career as a strategy consultant, advising tech companies on GTM strategy. A Cambridge-trained economist and published author, she’s received numerous awards including Deloitte Fast 50, WEF Tech Pioneer and EY Entrepreneur of the Year (London).",
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        "full_name": "Aldo Lipani",
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        "founder_bio": "Aldo is the Co-founder at Eloquent AI, and a Professor of Machine Learning at UCL. His research focuses on LLMs, simulation-based evaluation, and cost-effective training methods like instruction modeling. He holds a PhD from TU Wien and has worked with NIST, Microsoft Research, NII Tokyo, and Nvidia. Aldo has also advised startups and enterprises on building reliable, real-world AI systems.",
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        "url": "https://www.ycombinator.com/companies/eloquent-ai/jobs/2eWGivc-ai-engineer-multimodal-llms",
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        "location": "San Francisco",
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        "url": "https://www.ycombinator.com/companies/eloquent-ai/jobs/PITFKFM-software-engineer-front-end",
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        "url": "https://www.ycombinator.com/companies/eloquent-ai/jobs/crOhZol-product-designer",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Design",
        "role_type": "Web design",
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        "url": "https://www.ycombinator.com/companies/eloquent-ai/jobs/aCloWFq-ai-engineer-aiops-infrastructure",
        "location": "San Francisco",
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        "title": "Eloquent AI Fellowship Program",
        "url": "https://www.ycombinator.com/companies/eloquent-ai/jobs/M0fvU2k-eloquent-ai-fellowship-program",
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        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
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        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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        "title": "Senior Software Engineer, Full-Stack",
        "url": "https://www.ycombinator.com/companies/eloquent-ai/jobs/0qOJ5mE-senior-software-engineer-full-stack",
        "location": "San Francisco / Remote (US)",
        "type": "Full-time",
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        "title": "AI Engineer, Platform",
        "url": "https://www.ycombinator.com/companies/eloquent-ai/jobs/sJHxcvc-ai-engineer-platform",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
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        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
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    "news": [
      {
        "title": "Eloquent AI raises $7.4m to bring AI operators to financial services",
        "url": "https://www.eloquentai.co/fundraising",
        "date": "Dec 09, 2025"
      },
      {
        "title": "\n\tEloquent AI raises $7.4m to automate FS customer support\n",
        "url": "https://www.finextra.com/newsarticle/46583/eloquent-ai-raises-74m-to-automate-fs-customer-support",
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      {
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        "date": "Sep 07, 2025"
      },
      {
        "title": "💭 What is Eloquent AI, and why should you pay attention?  Tugce Bulut’s latest venture Eloquent AI",
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      {
        "id": 90355,
        "title": "Eloquent AI: The AI Operator for Financial Services",
        "tagline": "Automate complex, regulated support operations end-to-end for compliant and reliable customer services.",
        "body": "**🎯TL;DR**\n\nEloquent AI is the first AI Operator built specifically for financial services to automate complex, regulated customer service operations beyond frontline support. \n\nOur AI Operator learns to securely navigate your existing systems simply by observing your standard operating procedures (SOPs)—automating up to 96% of tasks without any engineering effort.\n\n[Introducing Eloquent AI](https://youtu.be/vsPg2VFtSt4)\n\n**🙏Our Ask**\n\n**If you’re running a fintech or insurtech and looking to automate customer service operations, we’d love to help.** Just reach out at [founders@eloquentai.co](mailto:founders@eloquentai.co).\n\n**❌ The Problem**\n\nFinancial institutions want AI-driven efficiency, yet adoption remains below 1%. Why? Generic AI agents fail in regulated environments due to: \n\n↳ Constant hallucinations \n\n↳ Compliance risks\n\n↳ Heavy engineering requirements stalling action automation\n\nFinancial services require AI built specifically for regulated workflows—seamlessly integrated into legacy systems, delivering reliable actions, not dead-end conversations.\n\n![uploaded image](/media/?type=post&id=90355&key=user_uploads/2611648/abf0478b-90df-4099-ada2-236b3510cb84)\n\n**✅ Eloquent AI: End-to-end customer support automation. Zero APIs required.**\n\nUnlike  generic AI agents, Eloquent AI goes beyond frontline support to fully automate customer support end-to-end. Instead of relying on cumbersome API integrations that require long dev cycles, our AI Operator learns directly from observing your SOPs and team’s actions, securely navigating your internal systems exactly as human agents do.\n\n**Automate complex, multi-party workflows**—unfreeze accounts, handle AML/KYC checks, adjust repayments, or update claim statuses without escalations.\n\n**Deploy rapidly with no internal engineering required**—Eloquent AI learns securely by observing your team through multimodal technology, enabling our operator to reason and interact across both language and visual inputs.\n\n**Ensure compliance effortlessly** with our proprietary LLM, Oratio, trained specifically on your financial regulations for secure, auditable interactions.\n\n**Integrate seamlessly**—connect AI directly to your CRM, databases, and support platforms for chat, voice and email support.\n\n**Confidently resolve complex queries**, ensure accurate routing, and eliminate hallucinations through continuous simulation and rigorous evaluation.\n\n**🚀 The Impact**\n\nTrusted by leading financial institutions, Eloquent AI drives immediate operational efficiency:\n\n* **24/7 Coverage:** Consistent, high-quality customer experience across all channels.\n* **Up to 96% Automation**: Scalable automation handling nearly all regulated customer requests.\n* **4x Cost Reduction:** Significant operational savings, achievable in weeks.\n\n![uploaded image](/media/?type=post&id=90355&key=user_uploads/2611648/9e7d65b6-d1d6-4728-895e-c7d72e1444f7)\n\n## **See What Eloquent AI Can Do For You**\n\nTired of wrestling with generic AI and manual workflows? Eloquent AI gives you fully automated, compliant customer operations—with zero coding required.\n\n📅 Book your demo: https://calendly.com/tugce-eloquentai/demo\n\n📬Reach us directly: [founders@eloquentai.co](mailto:founders@eloquentai.co)\n\n**Founders**\n\nEloquent AI is founded by [Tugce Bulut](https://www.linkedin.com/in/tugcebulut/), a second-time entrepreneur with deep expertise deploying large-scale AI solutions for Fortune 500 enterprises, and [Dr. Aldo Lipani](https://www.linkedin.com/in/aldo-lipani/), a Machine Learning professor, who also runs a research lab specializing in multimodal LLMs.",
        "url": "https://www.ycombinator.com/launches/NVL-eloquent-ai-the-ai-operator-for-financial-services",
        "votes": 777,
        "created_at": "2025-05-13T16:56:25.704Z"
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    "id": 30514,
    "name": "Scalar Field",
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    "long_description": "We’re building the agentic trading desk for the new operating system of markets.\r\n\r\nI used to be a trader at Tower Research and Goldman Sachs, and I’m building Scalar Field with my co-founder Ramakant, who led engineering teams at Microsoft.\r\n\r\nWe’ve both spent our careers at the intersection of finance and technology, and we’re using that experience to rethink how markets are analyzed, tested, and traded in the age of agents.\r\n\r\nScalar Field is built around a simple belief: over the next few years, agents will not just help people research markets — they will actively participate in them.\r\n\r\nThey will monitor news, parse filings, track sentiment, test hypotheses, rebalance portfolios, and execute trades. They will turn ideas into strategies, and strategies into live portfolios.\r\n\r\nBut today’s financial infrastructure was not built for that world.\r\n\r\nTerminals are dashboards. Backtesting tools are fragmented. Execution systems are separate. Market data is hard to unify. And most platforms still assume the human is the only decision-maker.\r\n\r\nScalar Field changes that.\r\n\r\nWe’re building an agentic trading platform where users can create financial agents that research data, backtest strategies, monitor market events, and trigger trades when specific conditions are met.\r\n\r\nThe long-term vision is agentic ETFs: portfolios created, managed, and rebalanced by agents around any idea, narrative, event, or market signal.\r\n\r\nScalar Field lets users go from thesis to backtest to live portfolio in one place.\r\n\r\nIt is infrastructure for the agentic trading era.\r\n",
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    "year_founded": 2025,
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    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
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    "founders": [
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        "user_id": 1377681,
        "full_name": "Amandeep Singh",
        "title": "Founder/CEO",
        "founder_bio": "An ex-trader building the future of trading terminals. ",
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        "linkedin_url": "https://www.linkedin.com/in/amandeep-singh0/",
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        "full_name": "Ramakant Yadav",
        "title": "Founder/CTO",
        "founder_bio": "Building the new era of agentic trading",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ramakant-yadav1/",
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    "jobs": [
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        "id": 95826,
        "title": "Digital Native Community, Social & Creator Growth Internship",
        "url": "https://www.ycombinator.com/companies/scalar-field/jobs/O0pkhfz-digital-native-community-social-creator-growth-internship",
        "location": "US / Remote (US)",
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      {
        "id": 106006,
        "title": "Scalar Field | The agentic trading desk",
        "tagline": "Build, backtest, and deploy trading agents across equities, options, prediction markets, and on-chain assets.",
        "body": "# Scalar Field: The agentic trading desk\n\nHi all,\n\nWe’re Aman and Ramakant, founders of Scalar Field.\n\nI previously worked as a trader at Tower Research and Goldman Sachs. Ramakant led engineering teams at Microsoft. We’ve both spent our careers at the intersection of finance and technology, and we’re now building the infrastructure financial agents need to operate in markets.\n\n**TL;DR:** Scalar Field lets you turn an investment idea into research, a backtest, and a live trading agent in one place. Agents can use LLMs for research and reasoning, then run strategies through an event-driven execution layer with approximately **300 ms event-to-trade latency**.\n\n<https://youtu.be/Uhd-RtQ1XjM>\n\n## The problem\n\nOver the next few years, agents will not just help people research markets. They will actively participate in them.\n\nThey will monitor news, parse filings, analyze data, test hypotheses, manage portfolios, and execute trades.\n\nBut today’s financial infrastructure was not built for this.\n\nMarket data is fragmented across providers. Research and backtesting happen in separate systems. Execution requires another set of integrations. Most financial platforms are dashboards designed for humans, not infrastructure designed for agents.\n\nThere is also a more fundamental problem: most AI-agent frameworks assume every action should begin with an LLM call.\n\nAn event occurs. The agent sends context to a model. The model reasons about it, chooses a tool, and eventually places a trade.\n\nThat is often the wrong modality for trading agents.\n\nLLM calls are costly and introduce significant latency. A trading agent cannot call a language model every time a price changes, a signal fires, or a portfolio needs to be rebalanced.\n\nLLMs are useful for interpreting unstructured information, researching ideas, and developing strategies. They should not have to sit in the critical path of every trade.\n\n## What Scalar Field does\n\nScalar Field separates the agent’s reasoning layer from its execution layer.\n\nAgents can use LLMs where intelligence and interpretation are valuable. They can then convert those decisions into deterministic, event-driven strategies that continuously monitor markets and execute without another LLM call at every step.\n\nScalar Field handles:\n\n* Financial data and research compute\n* Python-based strategy development and backtesting\n* Event and schedule-based strategy triggers\n* Persistent agent state\n* Portfolio allocation and position tracking\n* Risk and execution checks\n* Order routing and reconciliation\n* Real-time performance and NAV tracking\n\nThis lets users go from thesis to backtest to live portfolio without stitching together data providers, compute infrastructure, agent frameworks, and brokerage APIs.\n\n## Where agents can trade\n\nScalar Field currently supports:\n\n* **Robinhood** — US equities and ETFs\n* [**Public.com**](http://Public.com) — US equities and options\n* **Polymarket** — prediction markets\n* **Jupiter DEX** — Solana tokens and tokenized assets\n* **Alpaca** — US equities and options\n\nWe also support paper trading through Alpaca and Polymarket, so users can test agents before allocating real capital.\n\n**Hyperliquid support for crypto perpetual futures and spot is coming soon.**\n\n## What you can build\n\nFor example, you could build an agent that:\n\n* Tracks which public companies are increasing AI capital expenditure, then continuously rebalances into the companies investing most aggressively in data centres, chips, and AI infrastructure.\n* Monitors insider purchases across thousands of companies, tests whether purchases by CEOs or directors predict future returns, and automatically trades only when the historical signal is strong enough.\n* Reacts to market-moving events such as earnings surprises, inflation data, interest-rate decisions, breaking news, or sudden changes in prediction-market probabilities.\n* Watches every live sports game and trades when the market overreacts, for example, when the team that started as the favourite falls behind early but its estimated win probability begins to recover.\n* Runs a simple deterministic rule, such as buying a stock when a predefined signal crosses a threshold, without making an LLM call at all.\n* Or goes much deeper: trains a transformer on historical market data, uses the model to generate signals in real time, and automatically executes trades when those signals meet the strategy’s risk and confidence requirements.\n\nOur long-term vision is **agentic portfolios**: portfolios created, managed, and continuously rebalanced by agents around any thesis, narrative, event, or market signal.\n\nWe believe agents will become some of the largest participants in financial markets. But that will not happen by simply connecting a generic LLM-agent framework to a brokerage API.\n\nTrading agents need infrastructure that combines intelligence with financial data, event-driven compute, persistent state, portfolio management, risk controls, and low-latency execution.\n\nThat is what we’re building with Scalar Field.\n\n## Asks\n\n1. **Try Scalar Field** and tell us what breaks, what is missing, and what trading agent you would build first.\n2. **Introduce us to quantitative traders, developers, and investment teams** experimenting with AI-driven research, portfolio management, or automated execution.\n\nYou can try it at [**scalarfield.io**](http://scalarfield.io).",
        "url": "https://www.ycombinator.com/launches/RZm-scalar-field-the-agentic-trading-desk",
        "votes": 1413,
        "created_at": "2026-07-16T14:01:12.958Z"
      },
      {
        "id": 90206,
        "title": "Scalar Field: Reinventing the Trading Terminal, One Intelligent Agent at a Time",
        "tagline": "Test any market hypothesis instantly — and intelligently.",
        "body": "Hey YC! I’m [Aman](https://www.linkedin.com/in/amandeep-singh0/) (ex-trader from Tower Research and Goldman Sachs), building **Scalar Field** with my co-founder [Ramakant](https://www.linkedin.com/in/ramakant-yadav1/) (ex-Microsoft).\n\nhttps://www.youtube.com/watch?v=oOwJB5R4HxA\n\n### **The Problem We're Solving**\n\nWhy does anyone log in to a trading terminal like Bloomberg or FactSet?\n\nBecause — whether consciously or subconsciously — there’s a **hypothesis in their mind**. Something they're trying to validate as they jump across **charts, news, fundamentals, and macros**.\n\nBut here’s the issue: **Terminals today are built like giant dashboards**.\\\nWhat traders and analysts actually want is to **test and validate ideas**, not just observe data. So we asked ourselves — why not **rebuild the terminal from scratch** to do exactly that?\n\n---\n\n### **What We’re Building**\n\nAt **Scalar Field**, we’re reimagining the trading terminal from the ground up using **intelligent agents**. We started with retail traders as a way to build credibility with institutions—and already have around 800 paying traders, over 34,000 signups, and **$74,000** in monthly revenue.\n\nOur goal is simple:\\\n**Let users test any market hypothesis instantly — and intelligently.**\n\nWe’re building a terminal that can:\n\n→ **Run compute-heavy backtests** across multiple datasets (fundamentals, prices, macro, alternative data)\\\n→ **Spin up agents** that reorganize dashboards based on new signals or events\\\n→ **React to live market changes** and even **initiate trades** when conditions match your criteria\\\n→ **Persist memory across sessions** — so your research trail is never lost\\\n→ **Chain multi-hop workflows:** e.g., _If ETF flows spike and earnings surprises drop, highlight affected sectors and show next trade ideas_\n\nIt’s not just data access — it’s **agent-driven insight and action**.\n\n---\n\n### **🚀 Try it Now: [Scalar Field](https://scalarfield.io)**\n\n---\n\n### **🎁 YC Deal**\n\nWe’re offering **2 months of Pro+ free** to all **YC X25 founders and alums**.\\\nUse code **YCOMBINATOR** or just email us: [**founders@scalarfield.io**](mailto:founders@scalarfield.io)\n\n---\n\n### **What We’re Looking For:**\n\n* **Feedback** from LLM / infra builders\n* **Warm intros** to PMs, RIAs, analysts, or macro researchers\n* **Ideas** on scaling persistent memory + multi-hop reasoning\n\nWe’d love to hear your thoughts!\n\n— **Aman & Ramakant**\\\n📧 [founders@scalarfield.io](mailto:founders@scalarfield.io)",
        "url": "https://www.ycombinator.com/launches/NSw-scalar-field-reinventing-the-trading-terminal-one-intelligent-agent-at-a-time",
        "votes": 1119,
        "created_at": "2025-05-08T19:00:08.256Z"
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    "id": 30519,
    "name": "Hemut",
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        "body": "Hey YC, we’re [João](https://www.linkedin.com/in/joaopdepaula/), [Lucas](https://www.linkedin.com/in/lucasbrunosilva/), and [Sergio](https://www.linkedin.com/in/sergio-bergmann/), cofounders of [**Mesmer**](http://mesmer.co/) — **Cursor for CTOs.**\n\nhttps://www.youtube.com/watch?v=TMO7TQUZIuU\n\nWe’re **repeat founders and CTOs behind startups like Glio (S13) and [Origin Financial](http://useorigin.com/) ($400M)**. In every team we built, we ran into the same challenge: each new customer, employee, and feature made it harder to understand what was actually going on. We spent our days in back-to-back meetings and chasing status updates, and forced our teams to do busywork just to keep us in the loop. **Yet we still didn’t see problems until something broke**.\n\nAI is already making the 10x engineer possible. But there’s no solution that helps **product development orgs — and product leaders — 10x themselves**. That’s what we’re building.\n\n# **Enter Mesmer**\n\n**Mesmer gives founders and CTOs full context on their org without drowning in meetings or chasing people for updates**. It watches the work itself — code, specs, designs, meetings — to build a live, detailed picture of what’s going on. Our customers can keep their teams fast, flat, and focused as they scale — and free from busywork.\n\n![uploaded image](/media/?type=post&id=90395&key=user_uploads/178/c0f0220d-62be-4e38-9246-ecd3c2493a79)\n\nWe are starting with **an AI chief of staff for product development orgs**. Every week, it delivers a report showing what actually happened across all in-flight projects: what moved forward, what shipped, and what’s stuck. Founders and CTOs can then ask questions and get in-depth answers based on their team’s actual code, specs, and designs, like:\n\n* Why is this project slipping?\n* Who’s the best engineer to unblock it?\n* What architecture did we use in this repo?\n* How does the business logic work for this categorization engine?\n* What changed in the roadmap last week?\n\n**We’re already live with 10+ companies worth over $3B** and have reviewed over 70M lines of code along the way. We’d love to help you, too.\n\n# **Special Offer**\n\nWe’re onboarding companies as fast as we can, but, if you’re a CTO leading a team of 20+ engineers (or know someone who is) **email me at [joao@mesmer.co](mailto:joao@mesmer.co) and we’ll skip the line** to help you run a flat, fast, focused org right away.\n\n![uploaded image](/media/?type=post&id=90395&key=user_uploads/178/0a177036-5476-45b7-bd33-cfd2b5fb72a3)\n\n",
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        "location": "San Francisco",
        "type": "Full-time",
        "role": "Design",
        "role_type": "Web design",
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    "all_locations": "Los Angeles, CA, USA",
    "long_description": "MindFort is building fully autonomous AI agents powered by their in-house models that can find, exploit, and patch complex vulnerabilities in web applications at massive scale. MindFort agents use the same principles as human penetration testers to understand their target and figure out the best ways to work together to exploit it. We can do fully autonomous AI web pentesting and bring offensive security to teams out numbered. \r\n\r\nWhile security teams were already behind with legacy tools and processes, AI coding is make the problem worse. AI generates code far faster than human teams can secure it; MindFort can match that speed and scale. Our agents will become critical as organizations scale up development with AI.\r\n",
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    "subindustry": "B2B -> Security",
    "launched_at": 1747245373,
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        "full_name": "Brandon Veiseh",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder and CEO of MindFort AI. Previous founder, product leader in AI and Security.",
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      {
        "id": 90555,
        "title": "MindFort.ai - Fully Autonomous Security Agents",
        "tagline": "Fully autonomous security agents that find, validate, and patch vulnerabilites 24/7",
        "body": "![uploaded image](/media/?type=post&id=90555&key=user_uploads/525065/9bbd9d91-5dba-43e0-9412-2c45bac5782a)\n\nHey everyone! 👋 We're Brandon, Sam, and Akul - Co-founders of [MindFort.ai](http://MindFort.ai).\n\nWe're building fully autonomous AI security agents that find, validate, and patch vulnerabilities in web applications and networks at machine speed and scale.\n\nhttps://youtu.be/Oe-errlwaow\n\n## 🔥 The Problem\n\nSecurity is fundamentally broken for most engineering teams today:\n\n* **Scanners are unreliable** - They flood engineers with 30-50% false positives, wasting precious development time\n* **Traditional pen testing is too slow** - It happens quarterly at best, costs a fortune, and takes weeks to complete\n* **AI-accelerated development creates new risks** - Teams are shipping code faster than ever, but security reviews have become an even bigger bottleneck\n\nThe result? Companies are forced to choose between shipping fast or shipping secure. Engineering teams lose **\\~20%** of their time dealing with security issues or slowing down to accommodate outdated security practices.\n\n## 🚀 Our Solution\n\n[MindFort.ai](http://MindFort.ai)'s autonomous security agents work 24/7/365 to find, validate, and patch vulnerabilities:\n\n* **Find** complex vulnerabilities like a human tester would\n* **Validate** every finding to eliminate false positives\n* **Patch** with intelligent fixes that integrate directly with your codebase\n* **Scale** to thousands of tests in an instant, giving coverage never possible before\n\nUnlike solutions that slow development, MindFort accelerates it by eliminating security bottlenecks. Our platform is already finding vulnerabilities in production systems that other tools miss, identifying issues in bug bounty programs, and scoring high on human penetration testing benchmarks.\n\n## 💡 Our Story\n\nBrandon worked as a PM at ProjectDiscovery, a security scanner company where he led development of the Nuclei cloud platform from an open source tool to an enterprise ready product. He then joined NetSPI, one of the world’s largest penetration testing firms, to build generative AI tools for human testers. He sat with countless customers across both companies, learning about their struggles in securing attack surfaces at scale.\n\nAkul received his masters in computer science from the University of Illinois Urbana-Champaign, and was drawn to AI and security early on in his academic career. He co-authored multiple papers on using LLMs to perform various cybersecurity attacks, worked on creating novel benchmarks for hacking agents, and participated in red teaming and model safety programs at both OpenAI and Anthropic.\n\nSam worked as a senior engineer at Salesforce, where he led security for a large business unit, Tableau. During his time there, he worked first hand on keeping a large scale product secure. Between juggling security assessments, validating findings, and managing remediations inside of a large organization, he had seen it all. He began experimenting with ways to use AI to help solve some of the issues he faced at Salesforce and even worked on a demo of a tool to perform agentic code review through a DARPA program. He recently completed a master’s degree in cybersecurity at UC Berkeley.\n\nWe all met through our work and research. Early on, we all realized that the future of security was going to belong to AI agents, and that the coming tidal wave of new code generated with AI would need a solution of equal magnitude.\n\n![uploaded image](/media/?type=post&id=90555&key=user_uploads/525065/51cbc28d-9ff7-41b3-af19-d3e9fc23ef0a)\n\n## 🔮 Our Vision\n\nSecurity should accelerate your business, not slow it down. We're creating a world where security testing happens continuously and vulnerabilities are patched autonomously, **keeping your product and your users safe, while letting you ship faster.**\n\n## 👇 Our Ask\n\nReady to ship quickly and securely? 👉 **Visit [mindfort.ai](http://mindfort.ai) to request access**\n\n📧 Email us directly: [founders@mindfort.ai](mailto:founders@mindfort.ai)",
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        "votes": 62,
        "created_at": "2025-05-20T14:20:43.961Z"
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    "name": "Adentris",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "US healthcare providers lose billions every year to denied claims, most of them traced back to documentation and coding gaps no one catches until the payer says no. Adentris is an AI revenue integrity platform that catches them first. Our AI agents read EHR and payer interfaces directly, no API integration required, across five modules: documentation, coding QA, prior authorization, appeals and denials, and discharge summaries. And for providers that don't have their own CDI or billing teams, we run billing as a service on top of the platform.",
    "one_liner": "Real-time AI Compliance & Revenue Integrity for Medical Providers",
    "team_size": 5,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Healthcare IT",
    "launched_at": 1745803962,
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        "url": "https://www.einpresswire.com/article/860152482/adentris-selected-for-creative-destruction-lab-computational-health-program-to-scale-ai-driven-compliance-in-healthcare",
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        "url": "https://www.einpresswire.com/article/850341659/workdone-health-rebrands-as-adentris-and-launches-acute-care-solution-for-real-time-quality-and-compliance-monitoring",
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        "id": 90201,
        "title": "Adentris – AI compliance autopilot 👨‍⚕️ for hospitals and clinics 🏥",
        "tagline": "Adentris helps hospitals avoid denials, audits, and fines by catching and fixing documentation errors in real time.",
        "body": "Hi! We’re [Dmitry](https://www.linkedin.com/in/dmitrykarpov/), [Sergey](https://www.linkedin.com/in/yudovskiy/), and [Alex](https://www.linkedin.com/in/odinalex/) — co-founders of [Adentris](https://www.adentris.com/).\n\n**TL;DR:**\n\nEvery year, **250 million insurance claims — worth billions of dollars — are denied due to documentation errors**. Many are never recovered. We connect directly to hospital EHRs, monitor clinical staff activity logs in real time, and use AI agents to detect and fix compliance issues before they become risks. **Since the beginning of YC, we’ve reached $54k ARR** and have a growing number of commercial pilots with hospitals and clinics across the U.S. and PoCs with healthcare enterprises.\n\nhttps://www.youtube.com/watch?v=PrcEY8WgmSk\n\n**Problem:**\n\nOne small documentation mistake — like recording a medication time incorrectly — can destroy a family’s finances.\n\nThese errors are often made by exhausted clinicians after 12-hour shifts and are caught by automated insurance systems that instantly deny the claim.\n\n**Hospitals don’t discover the problem until it's too late** — after the claim is denied, the audit triggered, or the reputation damaged.\n\nDocumentation errors are the invisible threat in modern healthcare. They’re not caused by negligence, but by broken systems: cluttered interfaces, overworked staff, and legacy EHRs that make it easy to click the wrong time, forget a discharge note, or miss a required signature.\n\n**And it’s not just claims** — these small errors lead to failed audits, regulatory fines, delayed discharges, and increased burnout.\n\nHospitals end up with compliance teams that are reactive — chasing mistakes days or weeks after they happened, often without resolution. The cost isn’t just money. It’s morale, trust, and patient safety.\n\n**Solution:**\n\nAdentris is an AI compliance autopilot that prevents small documentation errors from becoming costly disasters in real time.\n\nWe integrate directly with hospital EHRs, monitor clinical activity in real time, and use AI agents to detect and fix issues — like missed discharge notes or wrong medication times — before they trigger claim denials or audits.\n\nWhen a problem is found, our AI opens a quick conversation with the responsible staff member to confirm and correct it immediately.\n\n**We don’t just alert**. We resolve — and help hospitals run smoother, reduce pressure on teams, and recover revenue that would otherwise be lost.\n\n**What Experts Are Saying:**\n\n\"Adentris’s proactive approach is a game‑changer in reducing preventable errors and enabling real‑time accountability in care delivery.”\n\n— [Joel N.H. Stern, PhD](https://www.linkedin.com/in/joel-n-h-stern-07a4342/)\\\nProfessor of Neurology & Molecular Medicine, Zucker School of Medicine at Hofstra/Northwell\n\n**Team:**\n\n[Dmitry](https://www.linkedin.com/in/dmitrykarpov/) (CEO) and [Sergey](https://www.linkedin.com/in/yudovskiy/) (CPO) are second-time YC founders with a strong track record in building B2B enterprise products and go-to-market channels. Sergey comes from a full medical family and has deep personal ties to the problems we're solving in healthcare. [Alex](https://www.linkedin.com/in/odinalex/), (CTO), is a seasoned engineer who built apps used by 25M+ people worldwide and led the development of a full AI agent architecture at his previous multimillion-dollar startup.\n\n**Asks:**\n\nWe're actively looking to connect with:\n\n* **Hospital executives and clinic owners** who want to stop losing revenue to preventable compliance errors and team burnout \n* **Providers' CFOs and compliance leaders** who are tired of fighting with clinical staff over documentation and want a system that just works\n* **Medical institution advisors and operators** who care about transforming broken workflows\n* **Reporters and storytellers** covering the untold side of healthcare — the back office chaos that leads to financial disaster\n\nIf you're building, reporting on, or fighting to fix this problem — DM us, email us at [founders@wrkdn.com](mailto:founders@wrkdn.com), or grab 15 minutes with us here [Book a call](https://calendly.com/d/cnpv-x29-nzc/workdone-demo).\n\nLet’s save healthcare from the inside out.",
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        "url": "https://www.axios.com/pro/enterprise-software-deals/2026/03/05/cybersecurity-cotool-seed-a16z-enterprise-tech",
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        "id": 90398,
        "title": "Cotool - Composable AI Agents for every Security Team",
        "tagline": "Reduce time spent on investigations and detection engineering by 90%",
        "body": "Hey everyone 👋\n\nWe're [Eddie](https://www.linkedin.com/in/eddieconk/), [Logan](https://www.linkedin.com/in/logan-carmody/), and [Max](https://www.linkedin.com/in/mmpollard/) – co-founders of [Cotool](https://cotool.ai).\n\n### TL;DR\n\nCotool uses AI to automate repetitive security workflows so teams can focus on threat hunting instead of manual tasks. Our early users have used the copilot and agents to cut investigation time by 90% and increase detection quality & coverage. Book a demo to learn how you can do the same!\\\nhttps://www.youtube.com/watch?v=GnyZuJGQ5C0\n\n### ❌ The Problem\n\nSecurity is complex, but the problems facing most teams are not:\n\n1. Alert Fatigue: Hours lost to false positives, while genuine threats slip by unnoticed.\n2. Context Switching: Investigations requiring constant toggling across 5-10 disconnected tools just to assemble basic context.\n3. Documentation Overhead: Teams spend more time as technical writers than security practitioners, bogged down in endless reporting.\n\nBefore founding Cotool, we collaborated with cutting-edge security teams including OpenAI, Coinbase, Figma, and DoorDash, experiencing these universal challenges firsthand.\n\nAdvancements in AI now offer an opportunity to truly reimagine this model; by building intuitive, collaborative tools that complement, not replace, security professionals.\n\n### 👷 Our Solution\n\nCotool provides a suite of Agents and an AI co-pilot designed specifically for security teams, streamlining workflows and reducing frustration through:\n\n* Seamless Investigations 🔍: A true AI co-pilot that works alongside security engineers during alert triage, investigations, and detection engineering; automatically gathering relevant context from across tools so they can focus on reasoning, not tool-hopping.\n* No-code Agents 🤖: Turn successful debugging flows into reusable agents, then refine their behavior with natural language prompts and connect them to any tools Cotool has access to, with granular permission controls.\n* Automated Documentation 📊: Generating thorough, accurate reports in seconds, freeing up valuable security practitioner time.\n\n![uploaded image](/media/?type=post&id=90398&key=user_uploads/2254937/d59dd9d1-e396-4f77-8dce-283a5e31c4ee)\n\n### 👨‍💻 The Team\n\nWe have worked together for years and co-founded Cotool in 2025.\n\n[Max Pollard](https://www.linkedin.com/in/mmpollard/) (CEO) led the forward deployed engineering team at Material, working directly with security teams to understand their workflows and pain points. He built the team up from one to 8 engineers and embedded himself with the world's best security programs. Previously he worked as a SE at Okta. He holds a BA in Business and Computer Science from UC Berkeley.\n\n[Eddie Conk](https://www.linkedin.com/in/eddieconk/) (CPO + Head of AI) spent the last 3 years at Material Security, leading the ML Engineering function. He developed and trained AI models for detecting Phishing emails at scale for some of the largest and most secure companies in the world. Previously he was an ML Engineer at Apple, and holds a BA in Computer Science from UC Berkeley.\n\n[Logan Carmody](https://www.linkedin.com/in/logan-carmody/) (CTO) was an early engineer and the technical lead for the Phishing Protection product at Material Security. He helped develop the proprietary language and compiler which Material’s threat researchers used to detect Phishing messages and Workspace breaches. He previously was a Staff SWE at LinkedIn working in infrastructure, and holds a BS in Computer Science and Philosophy from Duke University.\n\nTogether, we've spent years embedded with some of the world's best security teams. We're passionate about helping security teams focus on what they do best – hunting threats, not handling workflows.",
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        "url": "https://www.ycombinator.com/companies/lumari/jobs/XuEG5NT-former-founders",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$100K - $160K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 93602,
        "title": "Founding Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/lumari/jobs/y8Reyou-founding-forward-deployed-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$110K - $170K",
        "equity_range": "0.25% - 3.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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    "news": [],
    "launches": [
      {
        "id": 90564,
        "title": "Lumari - AI Digital Workers for Supply Chain",
        "tagline": "We enable supply chain teams to automate manual work with always-on AI teammates that monitor, coordinate, and take action.",
        "body": "Hey everyone! We’re [Sam](https://www.linkedin.com/in/samarthlamba/) and [Eshani](https://www.linkedin.com/in/eshanimehta/), the co-founders of Lumari 🔥\n\n**TL;DR:** Lumari is AI-powered procurement automation for direct materials and supply chain. We deploy **100s of always-on AI agents** that run sourcing workflows, manage RFQs, expedite purchase orders, and coordinate supplier communication end-to-end.\n\n### **The Problem ❌**\n\nSupply chain teams are stuck in reactive mode.\n\n* Buyers spend their days copy-pasting between email, spreadsheets, and ERPs, chasing supplier quotes, following up on late POs, and manually entering delivery updates\n* Missed delivery dates and poor visibility lead to expediting costs, production delays, and revenue risk\n* Existing tools require suppliers to adopt new portals and force rigid workflows that don't reflect how teams actually operate\n* There's too much operational work and not enough time for strategic decision-making\n\n### **Lumari’s Solution ✨**\n\nLumari brings autonomous agents to supply chain and acts as a **force multiplier** for the team.\n\n* **Automates** the manual chase across the entire procurement lifecycle, from RFQs to PO tracking to supplier follow-ups\n* Compresses cycle times and gives teams full **visibility** into active orders, RFQs, and supplier performance\n* Operates directly on top of **existing tools** (ERP, email, Slack, Excel) with no rip-and-replace and no supplier onboarding\n* Teams are always in **control** with configurable guardrails and approval layers for every action\n* **Customize** your agent behavior and configuration in plain English\n\nWe **partner** closely with every customer to adapt our agents to their specific processes and systems, from **Fortune 500s** to fast-growing scale-ups.\n\n### **The Team**\n\n![uploaded image](/media/?type=post&id=90564&key=user_uploads/1755497/3a1a90ce-6ebb-49fc-8c0e-6b1cd98be8fb)\n\n[Sam Lamba](https://www.linkedin.com/in/samarthlamba/) is an ex-Google engineering lead who led the development of AI-driven products that scaled to millions of weekly enterprise users, and has received 2 AI patents. Sam also previously worked at Amazon and Tesla and holds a degree in Electrical and Computer Engineering and Computer Science from Duke University.\n\n[Eshani Mehta](https://www.linkedin.com/in/eshanimehta/) was previously at Stripe leading payments intelligence products handling $XXX million in volume. She also previously worked at Robinhood and Snap and studied Computer Science at UC Berkeley. \n\n### **Our Ask**\n\n* 📅 [Book a meeting](https://cal.com/team/lumari/lumari-demo) with us if this could be useful for you or your team\n* Follow us on [LinkedIn](https://www.linkedin.com/company/lumari-io)!\n* Check us out at [lumari.ai](http://lumari.ai) or read lumari.ai/blog to understand the problem better",
        "url": "https://www.ycombinator.com/launches/NYi-lumari-ai-digital-workers-for-supply-chain",
        "votes": 128,
        "created_at": "2025-05-20T18:06:51.257Z"
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    "id": 30541,
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    "website": "https://codefour.us/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Code Four slashes the administrative burden on law enforcement through AI-driven automation. Officers spend up to a third of their shifts manually transcribing body camera footage, creating inaccuracies, reducing transparency, and cutting into frontline duties. We're here to eliminate these inefficiencies by integrating with body cameras, record management systems, and digital evidence management systems—acting as a software layer for data processing. \r\n\r\nWe free the most overworked and underappreciated people in the world: police officers.",
    "one_liner": "Modernizing the police workflow.",
    "team_size": 3,
    "industry": "Government",
    "subindustry": "Government",
    "launched_at": 1744335489,
    "tags": [
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      "Computer Vision",
      "AI"
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    "isHiring": true,
    "nonprofit": false,
    "batch": "Spring 2025",
    "status": "Active",
    "industries": [
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/code-four",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/code-four.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/codefourus/",
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    "primary_partner": {
      "name": "David Lieb",
      "url": "https://www.ycombinator.com/people/david-lieb"
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    "founders": [
      {
        "user_id": 2369150,
        "full_name": "George Cheng",
        "title": "Founder/CEO",
        "founder_bio": "AI/CS + Brain & Cog Sci @ MIT",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/cheng-george/",
        "x_url": "https://www.x.com/gcheng713",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0cd8b9757ee003ab7c5551c608054194ef7a749c.jpg"
      },
      {
        "user_id": 2382592,
        "full_name": "Dylan Nguyen",
        "title": "Founder/CTO",
        "founder_bio": "Founder @ Code Four | Applied Math + CS @ MIT",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/dylan-nguyenn",
        "x_url": "https://x.com/dynguyen0",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d848f67c19bfca713193918fa239a74c062cedad.jpg"
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    ],
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      {
        "id": 79247,
        "title": "Founding Fullstack Software Engineer",
        "url": "https://www.ycombinator.com/companies/code-four/jobs/tIBkEwS-founding-fullstack-software-engineer",
        "location": "San Francisco, CA, US",
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        "role": "Engineering",
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        "equity_range": "0.25% - 2.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
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          "Node.js",
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        "title": "Account Executive",
        "url": "https://www.ycombinator.com/companies/code-four/jobs/MSOzEim-account-executive",
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    "launches": [
      {
        "id": 90692,
        "title": "Code Four – Bringing Our Cops Home",
        "tagline": "Code Four handles paperwork and frees officers from administrative burdens.",
        "body": "#### **TL;DR**\n\nWe auto-generate reports, verify narratives, and surface evidence instantly — cutting desk time by 60% and putting officers where communities need them most.\n\nhttps://youtu.be/5K72MBx20fg\n\n#### **👮‍♂️ The Problem**\n\n* **40% of a typical shift** vanishes to transcribing body-cam footage, filling forms, and locating clips across siloed systems.\n* Manual redaction and video scrubbing **delay** investigations, **strain** budgets, and **erode** public trust.\n* Departments **juggle 8–10 incompatible** software tools that weren’t built for today’s fast-paced operations\n\n#### **🚓 Our Solution – the Intelligence Layer for Digital Evidence**\n\n1. **Real-time transcription & summarization** — every body-cam or interview video becomes searchable text + key-frame timelined.\n2. **One-click redaction** — faces, plates, minors’ voices, and PII are masked with CJIS-compliant logs.\n3. **Context-aware search** — ask “show me every time suspect #42 handled a weapon” and jump straight to the frames.\n4. **Autofilled narrative reports** that match your RMS schema and chain-of-custody rules.\n5. **Plug-and-play integrations** with leading body-cam vendors, evidence lockers, and CAD/RMS APIs—no rip-and-replace.\n\n#### **👥 Team**\n\nGeorge Cheng, Dylan Nguyen, and Natnael Kahssay started Code Four inside their dorm rooms at MIT and dropped out to continue building the next generation of police tech. We’ve processed hundreds of videos and know every pain point from ride-alongs to record rooms.\n\n![uploaded image](/media/?type=post&id=90692&key=user_uploads/2369150/be5e77c0-a578-4632-873a-a4faf530de19)\n\n#### **🙌 Our Ask**\n\n* **Intros to Police, Sheriff, Transit, or University PDs** that wrestle with video or paperwork overload.\n* **Design-partner agencies** (10–200 officers) willing to co-shape features.\n* **We’ll fly anywhere in North America to set you up within 48 hours—no strings attached.**\n\nEmail → [founders@codefour.us](mailto:founders@codefour.us)   \n\nCalendar →[ https://cal.com/codefour/30min](https://cal.com/codefour/30min)   \n\nWebsite →[ https://www.codefour.us](https://www.codefour.us)\n\n**Code Four. Built for Heros. Made to bring them home.**\n\n![uploaded image](/media/?type=post&id=90692&key=user_uploads/2369150/8c0bbba7-4edd-42c3-8efd-12facc362e44)\n\n",
        "url": "https://www.ycombinator.com/launches/Nam-code-four-bringing-our-cops-home",
        "votes": 29,
        "created_at": "2025-05-23T21:20:05.965Z"
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    "id": 30547,
    "name": "Text.ai",
    "slug": "text-ai",
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      "text.ai",
      "Text.ai",
      "text.ai",
      "Text.ai",
      "text.ai"
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    "website": "https://www.text.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We're building the first group chat with social skills.\r\n\r\nWhile everyone else is stuck with boring individual chatbots, we've cracked the impossible: Alfi reads the room, understands each person, and creates custom intelligence for every group chat.\r\n\r\nAlfi is your new social friend. The one who remembers everything, plans effortlessly, and keeps the crew together.\r\n\r\nHere's what that looks like:\r\n\r\n- Book restaurants together, with Yelp built in, directly in the chat. No more \"where should we go?\" spirals. Reserve instantly.\r\n- Create images with your friends: drop your crew into funny hats, wild scenes, anything you can dream up. Multiplayer image gen, first of its kind.\r\n- Social calendar: upcoming hangs, all in one place. Everyone on the same page.\r\n- Group Wrapped: who's the chattiest? Top inside jokes? Now you'll know.\r\n- Reminders & Memory: Alfi remembers your spots, your preferences, and nudges you to actually hang out.\r\n\r\nWe're in the middle of a quiet shift. Gen Z is leaving broadcast social media. They're retreating to group chats, smaller, more intentional and personal spaces where they're honestly themselves.\r\n\r\nBut group chats are also where plans go to die. Someone has to be \"the planner\" or nothing happens.\r\n\r\nWe believe the group chat is the real social network. Where the funniest moments and real conversations happen in real time. With Alfi, we hope to bring you together more expressively, a lot more often.\r\n\r\nThis technology will bring humanity closer than it's ever been before. Not replace connection, deepen it. That's the future we're building toward.\r\n",
    "one_liner": "Alfi - your group chat with social skills to bring friends closer",
    "team_size": 4,
    "industry": "Consumer",
    "subindustry": "Consumer",
    "launched_at": 1744649821,
    "tags": [
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      "Social",
      "Social Network",
      "AI"
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    "batch": "Spring 2025",
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      "America / Canada"
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    "url": "https://www.ycombinator.com/companies/text-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/text-ai.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/textdotai",
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      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
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    "founders": [
      {
        "user_id": 310607,
        "full_name": "Rushi Shah",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder & CEO at Text.ai. Ex-Tesla & NASA. Ran my own podcast interviewing leaders from across the world. CS & Business from CPP",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/rushishah01/",
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      {
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        "full_name": "Paras Maniar",
        "title": "Founder",
        "founder_bio": "cofounder of text.ai | 3x Exit Experience - Venture, Publicly Traded & Private Equity | ex JPMorgan, McKinsey, Gannett/USA Today | JD/MBA Northwestern + BA UC Berkeley | sucker for #reesespieces",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/parasmaniar/",
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      },
      {
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        "full_name": "Prahar Patel",
        "title": "Founder/CTO",
        "founder_bio": "CTO @ text.ai | Ex Engg. Leader @ Walmart, Eventbrite, Opentable, Amazon",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/prahar-patel",
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    "jobs": [
      {
        "id": 80329,
        "title": "Founding Full Stack Engineer",
        "url": "https://www.ycombinator.com/companies/text-ai/jobs/OJBr0v2-founding-full-stack-engineer",
        "location": "San Francisco, CA, US / Remote (Los Angeles, CA, US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$100K - $150K",
        "equity_range": "0.20% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
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      {
        "id": 97165,
        "title": "Alfi: Your group chat with social skills",
        "tagline": " The first chat app with social skills, for bringing friends together",
        "body": "Hey all 👋\n\n**TL;DR:** We took everything we learned from 10M+ messages across 150+ countries and built something new: **Alfi, a chat app with social skills to bring friends together.**\n\nAlfi is now live on [**iOS**](https://apps.apple.com/app/textai/6752585798) and [**Android**](https://play.google.com/store/apps/details?id=ai.text.app). Available in 10+ languages.\n\n1. **Download [Alfi](https://www.text.ai/)**\n2. **Add your people**: your other half, closest friends, your coworkers, or your annoying siblings\n3. **Schedule your next hangout**: dinner, movie night, weekend trip. Let Alfi help.\n\n**We believe the group chat is the real social network.**\n\nIf you've got a group chat that's been a little too quiet lately... this is your sign.\n\n<https://youtu.be/pn07_bo6rfs>\n\n**🔄 The Rapid Evolution**\n\nYou may remember [**text.ai**](http://text.ai), our AI that lives inside SMS, iMessage, WhatsApp, and Telegram chats. Tens of thousands of users and over 10M+ messages across 150+ countries in a rapid few months showed us something we didn't expect:\n\nPeople didn't just want answers. We realized they wanted a social friend who understands and acts. Together.\n\nNot a sterile bot. Someone with personality and character. Someone who understood their unique group, who's vegan, who hates horror movies, who always wants ramen.\n\nThey wanted a premium chat experience that was inherently social.\n\nWhy?\n\nWe distilled it down to one thing.\n\nThere is a place where we feel our happiest. All of us.\n\nThe group.\n\nHumans are born into them. And thrive in them. But today, there are very few products to support them.\n\nPlaces where groups can live. But not thrive.\n\nAnd so, friends drift apart. Plans go unplanned. The chat fades.\n\nSo, we started building Alfi, our human-first, AI native approach to messaging.\n\n![uploaded image](/media/?type=post&id=97165&key=user_uploads/310607/5d5804e8-4d4d-462d-b9b0-ee26332baaa4)\n\n\\\n**💙 Meet Alfi**\n\nAlfi is your new social friend. The one who remembers everything, plans effortlessly, and keeps the crew together. Alfi also has a proprietary framework that knows when to talk (and when not to). We taught Alfi… social skills! No commands required.\n\nIt doesn’t simply process but understands context, group dynamics, and whether you’re actually asking for help or just chatting with friends.\n\nHere's what that looks like:\n\n* **Book restaurants together**, with Yelp built in(exclusive partnership), directly in the chat. No more \"where should we go?\" spirals. Reserve instantly.\n* **Create images _with_ your friends**: drop your crew into funny hats, wild scenes, anything you can dream up. Multiplayer image gen, first of its kind.\n* **Social calendar**: upcoming hangs, all in one place. Everyone is on the same page. No more managing separate cals.\n* **Group Wrapped**: who's the chattiest? Top inside jokes? Now you'll know. Something we all have wanted for the longest time!\n* **Reminders & Memory**: Alfi remembers your spots, your preferences, and nudges you to actually stay connected.\n* **Customize your Alfi**: Customize how Alfi responds, creates, and helps to fit in with your group’s style. Custom AI for each chat.\n\nOf course, you have your solo Alfi too! The group chat is simply sacred.\n\n![uploaded image](/media/?type=post&id=97165&key=user_uploads/310607/126e5f00-0d43-4168-8675-072d98c8df63)\n\n![uploaded image](/media/?type=post&id=97165&key=user_uploads/310607/60ea2956-bc47-4b79-9dfb-77b8cae6a9e2)\n\nSome beta user testimonies:\n\n* \"_It reminds my bf when he forgets our Farmers Market dates. Finally, someone else keeping him in check_ 😏\"\n* _\"We put ourselves in cute dresses together. So cute. I wanna buy now\"_\n\n\\\n**🌍 Why This Matters**\n\nWe're in the middle of a quiet shift. Gen Z is leaving broadcast social media. They're retreating to group chats, smaller, more intentional and personal spaces where they're honestly themselves.\n\nBut group chats are also where plans go to die. Someone has to be \"the planner\" or nothing happens.\n\n**We believe the group chat is the real social network.** Where the funniest moments and real conversations happen in real time. With Alfi, we hope to bring you together more expressively, a lot more often.\n\nThis technology will bring humanity closer than it's ever been before. Not replace connection, deepen it. That's the future we're building toward.\n\n\\\n**👥 The Team On The Mission**\n\nFounded by myself ( [@rushishah](https://www.producthunt.com/@rushishah) , ex-Tesla Youngest Product Lead), [@praharpatel](https://www.producthunt.com/@praharpatel) (Ex-Opentable, Eventbrite, Walmart Labs Engineering Lead ), and [@maniar](https://www.producthunt.com/@maniar) (Former Founder, ex-Gannett Media, McKinsey).\n\n![uploaded image](/media/?type=post&id=97165&key=user_uploads/310607/653a113c-abcb-4199-9887-027bbae6b3eb)\n\nWe're three friends who've been building consumer products together since college. Known each other for years. We're building Alfi because we've experienced firsthand how technology meant to connect people often creates more friction.\n\nWe’re taking a first principles approach. Something I learned firsthand from Elon during my time at Tesla. We believe AI should fit into your life, not the other way around.\n\n---\n\n\\\n**🙏 Our Ask:**\n\n---\n\nPlease try out Alfi and share your feedback.\n\nWe’re on an ambitious mission to build the future of consumer messaging, and your feedback means a lot.\n\nCan’t wait to show you what 2026 has in store. We have some insane product updates coming soon.\n\nWith gratitude (and excitement),\n\nRushi, Prahar, & Paras\n\n![uploaded image](/media/?type=post&id=97165&key=user_uploads/310607/4d2923ff-443a-49bd-8129-93f37e8dffda)\n\n",
        "url": "https://www.ycombinator.com/launches/PHB-alfi-your-group-chat-with-social-skills",
        "votes": 13,
        "created_at": "2026-01-26T18:10:18.874Z"
      },
      {
        "id": 89968,
        "title": "Text.ai - AI in your group chats",
        "tagline": "Discover local eats. Plan group events. Roast friends. Together with AI.",
        "body": "👋 Hey everyone,\n\nI'm Rushi, CEO & co-founder of [text.ai](http://text.ai). We're thrilled to share what we've been building, **AI that lives where you already chat, no downloads needed**.\n\n**TL;DR**\n\n# **💡 What is **[**text.ai**](https://text.ai)**?**\n\nWe've brought AI directly into SMS (US & CA for now), WhatsApp (worldwide), and Telegram (worldwide) which over 5.5 billion people use daily.\n\nNo new apps to download, no learning curve, just text and go.\n\nWatch our YouTube product video:\n\n<https://www.youtube.com/watch?v=SFOBlc6extw>\n\nWe also just made the top 5 on [Product Hunt](https://www.producthunt.com/posts/text-ai) this past week! \n\n# **✅ How to try it:**\n\n1\\. Save our contact card: \\[[text.ai](http://text.ai)\\]\n\n2\\. Text directly or add to your group chats\n\n3\\. That's it! Works on \\[[SMS](https://www.text.ai/)\\], \\[[WhatsApp](https://wa.me/15626840069?text=What%20is%20the%20best%20Hawaiian%20city%20to%20visit%20for%20Spring%20Break%3F)\\], | \\[[Telegram](https://t.me/thetextai_bot)\\]\n\n![uploaded image](/media/?type=post&id=89968&key=user_uploads/310607/11b0f146-9cef-4d39-9e68-63318cc9299f)\n\n# \n\n**🤔 Why did we build this?**\n\nEver tried explaining to your mom how to download and use a new AI app? Yeah... that's why we built [text.ai](http://text.ai).\n\nI built the first version just for fun, a personal travel companion for when I was hunting for hidden veggie restaurants on my first solo trip to Spain & Portugal (I'm vegetarian) and had no internet. It was ridiculously simple but solved a real problem for me.\n\nThen something unexpected happened. Friends started adding our AI to their group chats. They used it to plan Vegas trips, settle restaurant debates, and even as a digital wingman for date nights.\n\nThe magic? No one had to download a thing. AI just showed up where they already were. In their messages.\n\nNow we're obsessed with one mission: making AI accessible to everyone.\n\n![uploaded image](/media/?type=post&id=89968&key=user_uploads/310607/2bf7fa71-528a-4991-9028-ee07c428c527)\n\n# \n\n**🚀 Real magic happens in groups**\n\n\"TextAI saved our Friday night! Eight people with different diets, and it found this amazing Thai fusion place everyone loved. Even suggested dishes for our vegetarian friend. Now it's our go-to for plans!\" - Jackie\n\nNo more endless screenshots. No more one person having to take charge. And finally, a solution for that friend who says \"I'm okay with anything\" and then rejects every suggestion!\n\nWe help your group actually make decisions instead of just talking about them.\n\nOr you can use it to roast them.\n\nEither way it works well.\n\n![uploaded image](/media/?type=post&id=89968&key=user_uploads/310607/0441afac-10f3-4c9a-85de-e6d04f843e7c)\n\n**👥 The team behind the magic**\n\nFounded by myself ( [@rushishah](https://www.producthunt.com/@rushishah) , ex-Tesla), [@praharpatel](https://www.producthunt.com/@praharpatel) (Ex-Walmart Labs, Eventbrite, Opentable), and [@maniar](https://www.producthunt.com/@maniar) (ex-Gannett Media, McKinsey).\n\nWe're three friends who've been building products together since college. We're building [text.ai](http://text.ai) because we've experienced firsthand how technology that's meant to connect people often ends up creating more friction instead.\n\nWe believe AI should fit into your life, not the other way around.\n\n# **🔮 What's next?**\n\nWe're working towards going from just answers to action.\n\nSoon, from that same group chat, you'll be able to book a restaurant reservation directly without ever leaving the conversation, get group reminders, book each other's calendars, and even purchase items together.\n\n# \n\n**🙏 We'd love to hear from you**:\n\n* What is the first thing you’d ask [text.ai](http://text.ai)?\n* What group chat would you add [text.ai](http://text.ai) to first?\n* Which feature would make this indispensable for you?\n* Who in your life would find this most helpful?\n\n👉 Try it now: \\[[WhatsApp](https://wa.me/15626840069?text=What%20is%20the%20best%20Hawaiian%20city%20to%20visit%20for%20Spring%20Break%3F)\\] | \\[[Telegram](https://t.me/thetextai_bot)\\] | \\[[SMS](https://www.text.ai/)(Only US & CA for now)\\]",
        "url": "https://www.ycombinator.com/launches/NP6-text-ai-ai-in-your-group-chats",
        "votes": 20,
        "created_at": "2025-04-30T11:29:08.014Z"
      }
    ]
  },
  {
    "id": 30548,
    "name": "Theorem",
    "slug": "theorem-2",
    "former_names": [
      "Aletheia"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4462cecf7e86ccbeaa67750a89b934e1dcf2fa9f.png",
    "website": "https://theorem.dev",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Theorem is training models that make program verification 10,000 times faster. Using verification as a feedback loop, developers have found zero-days in GPU accelerated code and cryptography implementations, and sped up code migration in legacy systems. If you have complicated code that needs to be correct and secure, sign up for our beta!",
    "one_liner": "Program verification so even your systems engineers can vibecode",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1747681841,
    "tags": [
      "Machine Learning"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Spring 2025",
    "status": "Active",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/theorem-2",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/theorem-2.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/theoremlabs",
    "x_url": "https://x.com/theoremlabs",
    "fb_url": null,
    "cb_url": null,
    "github_url": "https://github.com/theorem-labs",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4462cecf7e86ccbeaa67750a89b934e1dcf2fa9f.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
    },
    "founders": [
      {
        "user_id": 2540968,
        "full_name": "Jason Gross",
        "title": "Founder/CEO",
        "founder_bio": "Developed performant, verified code powering trillions of https connections to Chrome and other browsers.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jason-gross-86b72125/",
        "x_url": "https://x.com/diagram_chaser",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a5fa30f4252b80f30a34aa445733c970884b1f68.jpg"
      },
      {
        "user_id": 2206829,
        "full_name": "Rajashree Agrawal",
        "title": "Founder/CTO",
        "founder_bio": "Babysitting models. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/rajashreeagrawal/",
        "x_url": "https://x.com/___rajashree___",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4fb6028cdc57abac5fe224dffd96fd588267b46d.jpg"
      }
    ],
    "jobs": [
      {
        "id": 83835,
        "title": "ML Research Engineer",
        "url": "https://www.ycombinator.com/companies/theorem-2/jobs/CsReXnw-ml-research-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$150K - $250K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": [
          "Machine Learning"
        ]
      },
      {
        "id": 83836,
        "title": "ML Research Scientist",
        "url": "https://www.ycombinator.com/companies/theorem-2/jobs/eWwY3Yx-ml-research-scientist",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$300K - $500K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 83837,
        "title": "Senior SWE",
        "url": "https://www.ycombinator.com/companies/theorem-2/jobs/I2adiHF-senior-swe",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$300K - $500K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 83838,
        "title": "Systems Engineer",
        "url": "https://www.ycombinator.com/companies/theorem-2/jobs/Le5BTc3-systems-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $250K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 90592,
        "title": "Theorem – AI coding that is trustworthy-by-default",
        "tagline": "Program verification for superhumanly complex code",
        "body": "### **TL;DR:** **Please give us your most complicated coding problem that _needs_ to be correct. [Sign up!](https://theoremlabs.com/waitlist/)**\n\nHello World! We’re [Jason](https://jasongross.github.io/) and [Rajashree](https://scholar.google.com/citations?user=41ZE3NwAAAAJ&hl=en&oi=ao)! We think AI code generation is going to be bigger than any of us can imagine.\n\n### **MISSION**\n\nTheorem is an AI and programming languages research lab. Our question: as the models get better at generating code, what is the bottleneck to safely deploying vastly more computation in the world? \n\n* _Code has bugs._  AI-enabled attackers will increase the volume and velocity of attacks on software infrastructure. Human code review will not scale.\n* _AIs are untrusted generators._ In order to deploy AIs in critical systems without fully understanding their generalization behavior, we’ll need robust, scalable methods for overseeing their solutions.\n\n### **OPPORTUNITY**\n\nProgramming languages and formal methods is the promise that we can bootstrap roots of trust. Even as complexity of software goes up, we can design simple interfaces for steering with leverage.\n\nPreviously, this technology was only applied to the most mission-critical infrastructure, because of the enormous labor bottleneck — requiring years of PhD level engineering work. For instance, Jason worked on the project that wrote the code generator powering trillions of secure https connections everyday, but it took fifteen man-years to complete!\n\nWith advances in AI, we’re able to speed this development cycle 10,000 times! As a [wild example](https://www.youtube.com/watch?v=O9nKMjjb3Hg) of what’s possible, we spent two hours finding what would have been a zero-day in https code from 2011.\n\n### **OUR APPROACH**\n\nWe want to build workflows for trustworthy-by-default programming by pushing our best ideas till they break. The current candidate to beat is _program equivalence_ driven development. You oversee a simple reference implementation. We give you an optimized implementation, along with a proof that the programs are functionally equivalent. \n\n![uploaded image](/media/?type=post&id=90592&key=user_uploads/2206829/f5c671df-ac60-4b94-8081-36ae8c0aeda4)\n\nWe’re gradually rolling out our programming environment and models. Some use cases from our customers:\n\n* Performance optimization: finding edge cases where hyper-optimized GPU code would fail; getting clear documentation of dependencies that modify behavior in unforeseen ways. \n* Code migration: automating legacy code refactors from Python to Rust while proving no functional change; writing custom kernels to support new services.\n\n**If you work in public infrastructure, finance, hardware, or have other use cases that demand correctness, we’d love to help. Please reach out at [founders@theoremlabs.com](mailto:founders@theoremlabs.com)**",
        "url": "https://www.ycombinator.com/launches/NZA-theorem-ai-coding-that-is-trustworthy-by-default",
        "votes": 83,
        "created_at": "2025-05-21T14:58:50.047Z"
      }
    ]
  },
  {
    "id": 30549,
    "name": "Airweave",
    "slug": "airweave",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/257567a4b9d73aa0377d1adf521ba46dc6b0340f.png",
    "website": "https://airweave.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Open-source context retrieval for AI agents across workspaces. It connects to productivity tools, email, document stores, or any private data source and transforms their contents into searchable knowledge bases for agents.",
    "one_liner": "The open-source context retrieval layer for agents",
    "team_size": 7,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1744594621,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Spring 2025",
    "status": "Active",
    "industries": [
      "B2B",
      "Infrastructure"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/airweave",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/airweave.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://nl.linkedin.com/company/airweave-dev",
    "x_url": "https://x.com/airweave_ai",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/257567a4b9d73aa0377d1adf521ba46dc6b0340f.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
    },
    "founders": [
      {
        "user_id": 1896666,
        "full_name": "Lennert Jansen",
        "title": "Founder/CEO",
        "founder_bio": "Building the context retrieval layer for agents",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/lennertjansen",
        "x_url": "https://x.com/lennertjansen",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ff9dcb437770df2611911e57bb4a2a58959f1753.jpg"
      },
      {
        "user_id": 1971956,
        "full_name": "Rauf Akdemir",
        "title": "Founder/CTO",
        "founder_bio": "Building Airweave, the dev tool that turns any app into agent knowledge. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/orhan-rauf-akdemir/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4c4a3f3d83aa73ed82a874ac38b679759ce60e68.jpg"
      }
    ],
    "jobs": [
      {
        "id": 86032,
        "title": "Founding Software Engineer, Full Stack",
        "url": "https://www.ycombinator.com/companies/airweave/jobs/objmrAG-founding-software-engineer-full-stack",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $160K",
        "equity_range": "0.25% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "PostgreSQL",
          "Python",
          "React",
          "Redis",
          "Distributed Systems",
          "Microservices"
        ]
      },
      {
        "id": 86115,
        "title": "Founding Software Engineer, Data Infrastructure",
        "url": "https://www.ycombinator.com/companies/airweave/jobs/MwvkkF7-founding-software-engineer-data-infrastructure",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$120K - $160K",
        "equity_range": "0.25% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 86116,
        "title": "Founding Software Engineer, Data Infrastructure",
        "url": "https://www.ycombinator.com/companies/airweave/jobs/Xluuse7-founding-software-engineer-data-infrastructure",
        "location": "Amsterdam, North Holland, NL",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "€80K - €100K EUR",
        "equity_range": "0.25% - 0.75%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": [
          "Bash/Shell",
          "Git",
          "Kubernetes",
          "Redis",
          "Distributed Systems",
          "Microservices",
          "ETL",
          "Search"
        ]
      },
      {
        "id": 86117,
        "title": "Founding Software Engineer, Full Stack",
        "url": "https://www.ycombinator.com/companies/airweave/jobs/qXyMGJz-founding-software-engineer-full-stack",
        "location": "Amsterdam, North Holland, NL",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "€80K - €100K EUR",
        "equity_range": "0.25% - 0.75%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 86119,
        "title": "Founding Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/airweave/jobs/OH2VNh6-founding-forward-deployed-engineer",
        "location": "Amsterdam, North Holland, NL",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "€80K - €100K EUR",
        "equity_range": "0.25% - 0.75%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": [
          "Kubernetes"
        ]
      }
    ],
    "news": [
      {
        "title": "Airweave Raises $6M Seed Round  - Airweave - Turn Apps Into Agent-Ready Knowledge",
        "url": "https://airweave.ai/blog/seed-round",
        "date": "Jul 03, 2025"
      }
    ],
    "launches": [
      {
        "id": 90465,
        "title": "Airweave - Let Agents Search Any App",
        "tagline": "Open-source tool enabling AI agents to search any app",
        "body": "**TL;DR:** Airweave transforms app data into agent-ready knowledge.\n\n![uploaded image](/media/?type=post&id=90465&key=user_uploads/1896666/bf878d34-b781-4f5b-beb9-17b71a95e527)\n\n# **🎬 Demo**\n\n_Check out our demo below to see Airweave’s G-Drive and Slack search in action used by Claude Desktop, showcasing how Airweave outperforms Anthropic’s own built-in Google Drive connector ⤵️_\n\nhttps://youtu.be/XkC5z0AkW8E\n\n# ❌ **The Problem**\n\n* **Agents struggle with vague or informal requests** like _”Resolve that one Asana ticket about auth configs”_ or _“cancel Alex’s Stripe payment for Taylor Swift tickets”_\n* **Typically, then agents hallucinate when they can't find data,** or rely on inefficient chains of function calls\n* **MCP encourages agent-app interactions, but MCP servers alone don’t make workspaces semantically searchable**\n\n# ✅ **Our Solution: Airweave**\n\n![uploaded image](/media/?type=post&id=90465&key=user_uploads/1896666/c686c20f-62ac-454c-8d3b-d43ce9c857c4)\n\n* **Airweave connects to productivity tools, databases, or document stores makes their contents searchable for agents**\n* **Bottom line:** Your agent gets a simple search endpoint. Your users get reliable, personalized experiences\n\n# **Features**\n\n![uploaded image](/media/?type=post&id=90465&key=user_uploads/1896666/d8e186b6-cc60-4b97-802b-f3ef29cf2a4a)\n\n* **Open-Source**\n* **Simple yet powerful search interface** via REST or MCP\n* **MCP-compatible:** Turn any app into a semantically searchable MCP server\n* [**Python & TypeScript SDKs**](https://docs.airweave.ai/sdks)\n* **Connect to your agent to your favorite apps** like Google Drive, Gmail, Outlook, Google Calendar, HubSpot, Notion, Jira, Slack, Dropbox, Stripe, Github, etc.\n* [**White-Labeled Multi-Tenancy**](https://docs.airweave.ai/white-labeling) to provide OAuth2-based integration across user accounts with secure boundaries\n* **File Handling:** Supported formats: DOCX, PDF, PPTX, XLSX, HTML, TXT, PNG, JPEG\n\n# **Examples of How Customers Use Airweave:**\n\n* Legal AI assistants searching Google Drive/OneDrive to give accurate Perplexity-like answers\n* Agents for engineering managers scanning GitHub, Notion, and Jira to understand codebases and draft design docs\n* Compliance agents verifying marketing materials against current Dropbox financial data in regulated industries\n\n# **🤝 The Team**\n\nLennert and Rauf met in uni 7 years ago, and have been friends since. Lennert did AI research at Amazon and IBM, and has been working with LLMs since 2020. Rauf is a CS grad and worked as a Data Platform Engineer at fast-growing startups and large enterprise.\n\n![uploaded image](/media/?type=post&id=90465&key=user_uploads/1896666/d9d8d633-63a6-4c7b-9a3b-1e7ccaefaca8)\n\n# **📢 Our Asks:**\n\n* **⭐️ [Star us on GitHub](https://github.com/airweave-ai/airweave) ⭐️**\n* **Book a call** if you’re building agents that need to interact with apps, productivity tools, or databases: https://cal.com/lennert-airweave/airweave-q-a-demo\n* **Intro us** to PMs, engineering managers, or more senior at agent product teams and companies: [lennert@airweave.ai](mailto:lennert@airweave.ai)\n* [**Join our Discord community**](https://discord.gg/6wDWUhhuu2)",
        "url": "https://www.ycombinator.com/launches/NX7-airweave-let-agents-search-any-app",
        "votes": 126,
        "created_at": "2025-05-16T14:42:40.410Z"
      }
    ]
  },
  {
    "id": 30554,
    "name": "Bond",
    "slug": "bond",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f4056bd531497eb8c59fcb550011c9196adad6a6.png",
    "website": "https://www.bondapp.io/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Bond is an AI Chief of Staff that gives CEOs and busy executives real-time visibility into what’s happening across the company and tells them what to focus on. Saving execs 10+ hours a week.\r\n",
    "one_liner": "Your AI Chief of Staff",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1748290714,
    "tags": [
      "B2B",
      "Workflow Automation",
      "Productivity",
      "AI Assistant"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Spring 2025",
    "status": "Active",
    "industries": [
      "B2B",
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        "title": "BOND: AI Chief of Staff for CEOs and busy execs ⏳",
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        "body": "Hey YC! 👋\n\n**TL;DR**\\\nBOND plugs into your tools (Slack, Jira, Notion, GitHub, Salesforce, etc.) to give CEOs real-time visibility on the metrics that matter and pings you when risks, blockers or wins appear. No more status-update meetings or scrambling for information. \\\n\\\n\\*\\*Save 10+ hours and thousands of dollars a week.\\*\\*\\\n[https://youtu.be/CWE6AkaOn9M?si=C77jXfWiYqcAWFAp](https://youtu.be/CWE6AkaOn9M?si=C77jXfWiYqcAWFAp%5C)\n\n⚠️ **The Problem**\n\n* **Data fog:** At 30 employees, you juggle 5+ tools that don’t talk to each other; by 100, it’s 20 tools…eventually, visibility vanishes as you scale.\n* **Hunting answers:** Every question spawns meetings, email chains, or Slack searches. 10 people pause work just to pull reports.\n* **Missed moments:** No real-time insight means lost chances to unblock projects or close deals…you’re stuck in reactive fire drills.\n\n\\\n**🛠️ Meet BOND: Your AI Chief of Staff**\n\n* **Ask Donna Anything**: A chatbot that has the answers to all of your questions. Your single source of truth across every tool in your stack.\n* **Presidential Brief**: Each morning BOND sends a one-page snapshot via Slack or email: what moved, who’s blocked, and your top 3 priorities. No more all-hands, just the intel you need to start your day.\n* **Live Dashboard**: Central view of KPIs, project statuses (with owners), and team capacity.\n* **Pattern Radar**: Automated alerts on stalled projects, team overload, churn spikes, and outliers.\n\n  ![uploaded image](/media/?type=post&id=90815&key=user_uploads/959902/c1e5b82f-7386-4575-9bfd-94a2a75ad052)\n\n\n**🌟 Why We Built It**\\\nAfter 2,000+ interviews with CEOs, CoSs and execs, one insight stood out: knowledge management is broken. \n\nWith LLMs and vector search, we finally have the tech to tear down the data silos, and KILL the data fog.\\\n\\\n\\*\\*We’re on a mission to collapse management layers and help companies ship 1000x faster.\\*\\*\\\n\\\n**🔐 Enterprise Ready**\\\nYour data is safe. SOC II and more provided by [Probo (YC X25)](https://www.ycombinator.com/companies/probo)\\\nBOND runs inside your infra, so your data never leaves your walls. **\\\n\\\n🏁 Start Today\\\nReady to get your sh\\*t together? We have limited pilot spots.\\\n✉️ Email: [founders@bondapp.io](mailto:founders@bondapp.io)\\\n💬** **Text:** +1 (415) 418-4017\\\n**\\\n👉** For more info: [**bondapp.io**](http://bondapp.io)\\\n\\\n**Your time is too valuable to waste.** \\\n_Stop talking about work—let BOND be your CoS so you can actually get things done._",
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        "title": "Cascade Designer - Spacecraft communication system design software",
        "tagline": "Elite company tools designed for tiny teams",
        "body": "https://youtu.be/cPNXStE7LcE\n\nCascade Space was founded to build the ground station company of the future. But lack of large dishes is not the only thing broken about space communications, so are the design tools. \n\nIndustry standard spreadsheets are painful to build and maintain and error prone, but they can at least get you started. That said, they completely break down once you need to predict how your spacecraft will perform in real world dynamic environments, analyzing multiple variations of a system, or sharing and keeping the design updated across teams.\n\n![uploaded image](/media/?type=post&id=96236&key=user_uploads/222992/5bdf36f9-9f71-4796-9f12-ecbeba37d8c4)\n\nEvery space company eventually starts to build internal tooling to parse 3D antenna patterns and scripts to evaluate link performance over given flight trajectories. This is usually unplanned work done by RF engineers that takes months to get even a rudimentary implementation up and running. This software is very bespoke and often brittle, and makes the tight timelines of early stage companies even tighter.\n\nAcross the industry this work gets duplicated over, and over, and over. \n\n**Enter Cascade Designer**. The pipeline is already built. Start by designing your system in a graphical interface, get your link margin with a single button click. \n\n![uploaded image](/media/?type=post&id=96236&key=user_uploads/222992/7e4a5642-dc70-4093-a7d5-5a2b1802cda3)\n\nNext, analyze entire trajectories with a single API call. \n\n![uploaded image](/media/?type=post&id=96236&key=user_uploads/222992/980c9907-784c-4861-8758-b6341afd2721)\n\nDesigns can be shared with anyone on your team through our interface\n\n![uploaded image](/media/?type=post&id=96236&key=user_uploads/222992/bec0b967-999c-4089-849f-d0c547431498)\n\nWe built this out because the customers of the best ground network need the best design tools, but we didn’t just build this for our ground station customers. Anyone designing a spacecraft for any orbit using any ground station can use it. \n\nVisit our website to learn more and book your demo: https://cascade.space/designer/",
        "url": "https://www.ycombinator.com/launches/P2C-cascade-designer-spacecraft-communication-system-design-software",
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        "created_at": "2025-12-16T12:01:40.937Z"
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        "id": 90423,
        "title": "Cascade Space - Deep space communications as a service",
        "tagline": "Your next lunar mission just got easier!",
        "body": "# tl;dr\n\nCascade Space is building a turn-key communications system for lunar and deep space missions. Our ground station network and integrated software tools work together to maximize uptime and availability, while reducing spacecraft iteration cycles from weeks to hours. \n\n![uploaded image](/media/?type=post&id=90423&key=user_uploads/222992/7b3a56ce-8dc0-48db-a2e5-3badb2afd893)\n\n**Why are we building this and why now?**\n\nThe Deep Space Network (DSN), NASA’s global network of ground terminals for communicating with deep space probes, is [oversubscribed by 40% and in desperate need of upgrades.](https://newspaceeconomy.ca/2024/09/02/nasas-deep-space-network-challenges-and-the-road-ahead/) The DSN is all but unavailable for most commercial operations. Companies with missions going to the Moon and beyond have to deal with a patchwork of individual dish operators for every mission, each with bespoke hardware, specs, and interfaces. Furthermore, many of these commercial providers are not able to handle the demand and [operational failures also can lead to loss of mission](https://www.astroforge.com/updates-collection/odint-mission-debrief).\n\n![uploaded image](/media/?type=post&id=90423&key=user_uploads/222992/c6aa8968-e567-42e5-8866-866414630f22)\n\n**Comms system design is fraught with peril**\n\nThe spacecraft comms system design is tightly coupled to the available ground network. Engineers spend hundreds of hours poring over datasheets, on the phone with vendors and suppliers, and endless email threads, only to put all this data into a giant spreadsheet to make sense of it. Every iteration requires not only painful attention to detail, but also in-depth esoteric knowledge of how radio frequency systems and channel coding schemes work in order to accurately predict in-flight performance. Simple misunderstandings can lead to catastrophic errors in design and configuration.\n\n![uploaded image](/media/?type=post&id=90423&key=user_uploads/222992/1623d16f-4789-4793-892f-2c7adffc84a7)\n\n**End-to-end comms system validation often doesn’t happen**\n\nFully integrated testing between the spacecraft and ground terminal is typically cost prohibitive. Instead, engineers compare spec sheets and email configurations to the ground operators, and hope it works in flight (spoiler alert: it often doesn’t). It is routine for spacecraft to fly having never done an end-to-end test of their system with ground terminal representative hardware. The whole process is subject to human error from end to end. \n\n**This approach to space communications does not scale**\n\nCommercial space ventures beyond low earth orbit have already pushed existing infrastructure to its breaking point, and demand for deep space comms support is expected to grow exponentially over the next decade. We will not have a spacefaring future for humanity until communications for spacecraft become as easy as signing up for cable internet. \n\n**We are redefining the process, starting with spacecraft design**\n\nBetter comms starts at the beginning, in the early trade study and design phase. We are replacing industry-standard spreadsheets with a modern software tool that lets you see how your system will perform with our ground network in real time.\n\n![uploaded image](/media/?type=post&id=90423&key=user_uploads/222992/4873c5a0-9288-48fe-8d2e-a3a32f3fcad0)\n\n**Test as you fly, fly as you test**\n\nYou don’t rise to the level of your expectations, you fall to the level of your testing. We ship you a “ground station in a box,” identical to hardware we’ve installed at the ground stations you will be using, and provide you with a test plan that you can use to test your entire system end to end, with both the space vehicle and the ground terminal in the loop. \n\n**Launch with confidence**\n\nFly and operate your spacecraft. Use our API to schedule passes on our network, track your spacecraft, stream data, monitor the ground site, and access recordings.\n\n![uploaded image](/media/?type=post&id=90423&key=user_uploads/222992/2b01ca98-b6d7-4f8b-9af5-5b93b0613ef0)\n\n**We are rolling out our preliminary network rapidly**\n\nWe start by partnering with owners of dishes that are currently unused for any other telemetry applications. This allows us to build out the product and acquire customers with a minimal amount of capital. As we build out the network, we will further expand our network by strategically building our own ground stations in key locations. Our first downlink only ground stations are expected to come online in 2025, with more to follow in 2026.\n\n**We are passionate about your mission success**\n\n[Jacob](https://bookface.ycombinator.com/company/30556) and [Arlen](https://bookface.ycombinator.com/user/2222230) have solved many of these exact problems at company level scales in previous roles. Jacob was RF system architect at SpaceX and Arlen has built complex hardware/software systems his entire career. Collectively they have spent hundreds of hours in mission control, many of those hours dealing with anomalies and outright failures. They are both passionate about building the culture of excellence at Cascade that is required for flawless mission execution.\n\n**If you are struggling with comms for your upcoming mission, drop us a line. We can help.**\n\nhttps://cascade.space/",
        "url": "https://www.ycombinator.com/launches/NWR-cascade-space-deep-space-communications-as-a-service",
        "votes": 84,
        "created_at": "2025-05-15T14:54:19.097Z"
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        "answer": "The next wave of breakthroughs will come from AI that deeply understands physics, not just text.\r\n\r\nWe’re building Godela to give humanity the power to instantly model, explore, and invent across the physical world. Imagine being able to instantly test any idea, uncover hidden relationships, and accelerate discovery at the speed of thought."
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        "full_name": "Cinnamon Sipper",
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        "full_name": "Abhijit Pranav Pamarty",
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        "url": "https://www.ycombinator.com/companies/godela/jobs/6MlUqiS-founding-engineer-ml-systems-godela",
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        "type": "Full-time",
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        "title": "Three Big Projects That Win The AI Prize In Silicon Valley",
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        "date": "Sep 25, 2025"
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        "title": "Godela: AI Powered Physics Engine for Engineers",
        "tagline": "Bringing AI powered intelligence to the physical world",
        "body": "**AI powered physics is the next frontier**\n\n**TL;DR:** Godela is an AI-powered physics engine that gives engineers faster, cheaper, simulation-quality answers to even the most complicated engineering problems.\n\nHi YC—we’re @Cinnamon Sipper and @Abhijit Pamarty, former engineers at Apple, Google, and Intel, now turning our Stanford research into the future of engineering.\n\nhttps://youtu.be/I5E1Zi9cpM4\n\n**The Problem: Engineering Discovery is Too Slow.** Every groundbreaking innovation—from fusion reactors to life-saving drugs—hinges on understanding how the physical world works. Yet, engineers spend agonizing weeks, even months, wrestling with complex simulations, preprocessing data, and manually tuning parameters just to answer _one_ question. Many critical questions go unasked because the effort is too great.\n\n![uploaded image](/media/?type=post&id=90799&key=user_uploads/1725296/03894dba-703c-4a25-a00b-b1ba24b27392)\n\n**Our Vision: Ask About the Physical World as Easily as You Use Language.** Imagine a world where understanding the implications of a new design, material, or physical scenario is as instant as a search query. That’s the future Godela is building.\n\n![uploaded image](/media/?type=post&id=90799&key=user_uploads/1725296/b7ae00e6-d8ea-4354-a110-233a65568e0f)\n\n**Introducing Godela: Your AI Copilot for Engineering.** Godela is an AI-native platform that transforms your engineering questions into computable, physics-informed models—instantly.\n\n* **Ask Anything:** Pose complex questions in natural language or with your existing data.\n* **Upload Your World:** Integrate CAD files, experimental results, or existing simulation data.\n* **Get Instant Insights:** Receive actionable, simulation-quality models you can explore, refine, and iterate on immediately.\n\nInstead of replacing simulations, Godela becomes their intelligent, adaptive home—blending diverse data sources with AI to provide insights that were previously out of reach or would take weeks to uncover.\n\n**Why We’re Building This:** As engineers who’ve designed everything from chips and laptops to particle accelerators, we’ve lived the frustration of slow design-simulation loops. Inspired by how AI revolutionized access to information (like ChatGPT for language), we believe it’s time for the same leap in understanding the physical world.\n\n![uploaded image](/media/?type=post&id=90799&key=user_uploads/1725296/308937e8-b076-46b9-a432-39585f6ea464)\n\n**Partner with Us:** We're looking for forward-thinking engineering teams eager to break free from traditional simulation constraints. If you know engineers battling simulation bottlenecks, send them our way!\n\nIf you want to accelerate your design cycles and unlock new levels of understanding:\n\n🌐 Visit: [www.godela.ai](http://www.godela.ai) \n\n✉️ Email us: [founders@godela.ai](mailto:founders@godela.ai) \n\n🗣️ Talk to us: https://calendly.com/cinnamon-sipper",
        "url": "https://www.ycombinator.com/launches/NcV-godela-ai-powered-physics-engine-for-engineers",
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        "title": "Autonomous – Superintelligent financial advisor at 0% advisory fees",
        "tagline": "Invest like the ultra-wealthy with an AI-native wealth strategist",
        "body": "![uploaded image](/media/?type=post&id=96574&key=user_uploads/64620/29da316a-9f16-4a20-8f6d-c083a115287f)\n\nHello! We co-founded and exited Paperspace (GPU cloud, YC W15). After selling Paperspace, we did the “responsible” thing and tried to get our own finances dialed in.\n\nI encountered two options, both felt broken and just weren’t right for me:\n\n## **The problem**\n\n**DIY your money:** Accounts everywhere (401k, IRAs, brokerage, crypto, savings, equity, secondaries). Your spreadsheet is always wrong. You make expensive mistakes because this isn't your full-time job.\n\n**Hire a financial advisor:** They'll manage your money and charge 1-2% of assets annually. Run that math over multiple decades and you're handing over half your net worth to fees.\n\nNeither path felt like what I wanted: sophisticated, personalized strategies the ultra-wealthy use to compound wealth: strategic tax-loss harvesting across individual securities, systematic risk management, portfolio-backed borrowing to defer capital gains, access to alternatives, etc.\n\nThese aren't secret – they're just unfeasible to deliver at scale through traditional human advisors.\n\n**Robos were supposed to fix this, but they were designed in a pre-AI world.** In practice the robo option can feel cookie-cutter. They don’t coordinate across your 401(k), taxable accounts, mortgage, equity, and cash flow, they don’t help with real decisions like job offers, windfalls, or concentrated stock, and they don’t deliver institutional strategies. That’s why, even after a decade plus, the biggest robos are still &lt;$100B AUM while old-school advisors like Raymond James / Edward Jones sit on trillions.\n\n## **What we're building**\n\n**Autonomous** ([becomeautonomous.com](http://becomeautonomous.com)) is a superintelligent wealth manager with **0% advisory fees**. (Note, our optional direct-indexing feature will charge a fee, replacing ETFs and Mutual Funds with individual securities).\n\nWe’re doing for financial advising what Robinhood did for brokerages. Think of it as a full-stack, AI-native wealth strategist that brings billionaire-style playbooks to ordinary investors.\n\n**Sees everything and understands it**\n\nConnect all your accounts, including messy off-platform assets like rental properties, SPVs, and startup equity. Autonomous builds a live view of your assets, liabilities, cash flow, and taxes. It knows where you're concentrated, where you're wasting tax capacity, where cash is idle.\n\n**Conversational intelligence**\n\nTalk to Autonomous 24/7 about any financial decision. \"Should I max out my 401k or pay down my mortgage?\" \"How does this job offer change my strategy?\" Get answers, explore tradeoffs, execute instantly. No quarterly calls.\n\n**Personalized direct indexing**\n\nInstead of generic ETFs, Autonomous builds a direct index optimized for your income, tax bracket, time horizon, and goals. Designed to\\\nharness sophisticated, wealth optimization strategies, Autonomous\\\noptimizes portfolios at the individual security level. You refine through conversation, it deploys intelligently.\n\n**Continuous optimization**\n\nAutonomous monitors everything continuously, alerting you to what matters: tax-loss harvesting opportunities, rebalancing needs, cash deployment timing, risk adjustments. \n\n**Custom exposures, not stock picking**\n\nOn top of your core plan, you can add targeted strategies if you want to be more hands-on. Want targeted exposure to AI? Autonomous maps the ecosystem, builds a custom sleeve sized by volatility and fundamentals, accounts for correlations with your existing positions, and manages it inside your broader plan. AI agents design and implement it.\n\n## **Who this is for**\n\nRight now we're focused on:\n\n* People with multiple fragmented accounts and a spreadsheet they don't trust\n* Brokerage users with a pile of individual bets, not a strategy\n* Anyone who doesn't want to pay 1-2% forever but also doesn't want to be their own wealth manager\n\n## **Why now**\n\nPeople everywhere already ask AI about their finances, but there's no Cursor-style \"apply\" button and it doesn't run continuously. The technology finally exists to deliver institutional wealth management through AI.\n\nWealth management generates \\~$250B/year in advisory revenue, with human intermediaries extracting massive amounts of fees. It feels like a pre-Robinhood brokerage world: entrenched, expensive, structurally misaligned.\n\nAutonomous is following the neobank playbook that companies like Mercury and Ramp used in traditional banking: replace brick-and-mortar with elegant digital experiences.\n\n**Get early access:** [becomeautonomous.com](http://becomeautonomous.com)\n\n_Note: We are hiring across multiple roles in NYC and SF: [https://atg.science/](https://atg.science/)_",
        "url": "https://www.ycombinator.com/launches/P7e-autonomous-superintelligent-financial-advisor-at-0-advisory-fees",
        "votes": 72,
        "created_at": "2026-01-07T18:33:55.271Z"
      }
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    "id": 30592,
    "name": "Prox",
    "slug": "prox",
    "former_names": [
      "DART",
      "Stealth",
      "Dart Labs",
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    "website": "https://useprox.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Prox turns product expertise into revenue for equipment manufacturers.\r\n\r\nEquipment buyers rarely begin with a model number. They begin with a job, an installed system, a constraint, or a problem. The knowledge needed to qualify, recommend, configure, quote, repair, replace, or upgrade the product is scattered across manuals, catalogs, spreadsheets, calculators, product managers, applications engineers, dealer processes, support teams, and legacy systems. The result is abandoned demand, slow qualification, wrong-fit recommendations, quote delays, weak dealer follow-up, missed parts and service revenue, and dependence on a few experienced people.\r\n\r\nProx builds AI product specialists for equipment manufacturers. A product specialist uses the manufacturer's approved product knowledge, expert rules, calculators, and connected systems to move customers and frontline teams from a complex product question to the right purchase, quote, dealer, parts, service, replacement, or upgrade path.\r\n\r\nHow it works:\r\n\r\n1. Understand what the person is trying to accomplish.\r\n2. Resolve the product, application, and operating context already available.\r\n3. Ask only for the missing information that changes the result.\r\n4. Apply approved sources, expert rules, and deterministic tools (calculators, selectors, configurators, comparisons).\r\n5. Produce a supported, cited recommendation, configuration, procedure, or decision artifact.\r\n6. Move the person into the correct cart, quote, RFQ, BOM, dealer, sales, parts, service, replacement, upgrade, or expert action with the context preserved.\r\n\r\nOne product specialist, many governed skills: product discovery and comparison, sizing and configuration, competitive defense, quote preparation, dealer enablement, installation and commissioning, troubleshooting, parts identification, and approved service, replacement, and upgrade paths. Manufacturers deploy those skills to customers, dealers, sales teams, applications engineers, support teams, or field service. Existing CRM, CPQ, commerce, and support systems stay in place.\r\n\r\nSupport and service are revenue-bearing surfaces. The specialist resolves the customer's problem first, then surfaces the approved part, service, replacement, or upgrade path only when the evidence supports it.",
    "one_liner": "AI product specialists for equipment manufacturers",
    "team_size": 7,
    "industry": "B2B",
    "subindustry": "B2B -> Retail",
    "launched_at": 1759337800,
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      "E-commerce",
      "Customer Support",
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Fall 2025",
    "status": "Active",
    "industries": [
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      "Retail"
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    "regions": [
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      "America / Canada",
      "Remote",
      "Partly Remote"
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    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/prox",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/prox.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/prox-inc/",
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    "primary_partner": {
      "name": "Harj Taggar",
      "url": "https://www.ycombinator.com/people/harj-taggar"
    },
    "founders": [
      {
        "user_id": 1022456,
        "full_name": "Dima Yanovsky",
        "title": "Founder",
        "founder_bio": "mit '25",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/yanovsk/",
        "x_url": "https://x.com/yanovskyd",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1650d391fc2ac0d8c718b1da7c24334235295877.jpg"
      },
      {
        "user_id": 3066807,
        "full_name": "Gregory Makodzeba",
        "title": "Founder",
        "founder_bio": "> founded Rektoff (built security systems protecting >$100B; clients: Solana) \n> led DevRel at Runtime Verification (among clients: NASA, Boeing)\n> grew up in a family distribution business\n> studied aviation management and computer science",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/gregory-makodzeba/",
        "x_url": "https://www.x.com/youfelll",
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    "jobs": [
      {
        "id": 92782,
        "title": "Founding Engineer at Prox",
        "url": "https://www.ycombinator.com/companies/prox/jobs/0OlQtPT-founding-engineer-at-prox",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$200K",
        "equity_range": "1.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 98421,
        "title": "Founding GTM Engineer",
        "url": "https://www.ycombinator.com/companies/prox/jobs/E1rWvQT-founding-gtm-engineer",
        "location": "San Francisco, CA",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$130K - $180K",
        "equity_range": "0.25% - 0.75%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 98422,
        "title": "Executive Assistant & Operations",
        "url": "https://www.ycombinator.com/companies/prox/jobs/LoltdId-executive-assistant-operations",
        "location": "San Francisco, CA",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$100K - $120K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 98423,
        "title": "Videographer & Creative Producer",
        "url": "https://www.ycombinator.com/companies/prox/jobs/Nq3ECpl-videographer-creative-producer",
        "location": "San Francisco, CA",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$90K - $130K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 98424,
        "title": "Forward-Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/prox/jobs/VKpZh1L-forward-deployed-engineer",
        "location": "San Francisco, CA",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$160K - $190K",
        "equity_range": "0.35% - 0.75%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
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    "news": [],
    "launches": [
      {
        "id": 95414,
        "title": "Prox: digital co-workers for logistics operations",
        "tagline": "📦 Prox builds digital workforce for third-party logistics and fulfillment providers. ",
        "body": "Greg and Dima here - childhood friends, grew up in our families’ warehouses - now YC founders building Prox.\n\n**launch video:** https://www.youtube.com/watch?v=9Ywl-K7ncj0\n\n---\n\n**tldr:**\n\n[**Prox**](https://www.prox.inc/) builds digital workforce for third-party logistics and fulfillment providers. We deployed our first agents at [**ShipBob**](https://www.linkedin.com/company/shipbob) (unicorn 3PL handling 100+ million packages per year) to automate carrier claims for lost-in-transit packages. **They're now live in production, processing hundreds of claims in parallel and on track to recover millions in carrier refunds annually.**\n\n**what is 3PL?**\n\nthird-party logistics companies (3PLs) are the invisible infrastructure behind e-commerce brands: they warehouse inventory, fulfill orders, manage returns, and negotiate with carriers so brands don't have to.\n\n**the problem:**\n\n40,000+ 3PLs in the US all do the same thing: throw people at operational bottlenecks.\n\n❌ Claims processing done manually, one by one \\\n❌ Invoice reconciliation eating hours of labor \\\n❌ Compliance paperwork blocking growth \\\n❌ Every increase in package volume = more back-office hires\n\nThat's the margin trap. Logistics companies stuck at 3-5% margins because headcount scales linearly with volume of packages. You can't compound when labor costs are linear.\n\n**what we built:**\n\nWe developed an n8n-inspired agent building platform - native to logistics infrastructure. It integrates with Salesforce, warehouse & transportation management systems, carrier portals, Microsoft Teams, and email → then executes SOPs end-to-end.\n\nWith this platform, we can deploy agents in production in a matter of days.\n\n![uploaded image](/media/?type=post&id=95414&key=user_uploads/3066807/dc3e69b6-c3f6-476d-94c5-578b3a02d9de)\n\n**use case: ShipBob Carrier Claims Automation**\n\nHere’s an example of how our agents handle lost package claims for [ShipBob](https://shipbob.com/), one of the biggest 3PLs in the US.\n\n> first demo at ShipBob HQ in Chicago\n>\n> ![uploaded image](/media/?type=post&id=95414&key=user_uploads/3066807/cd110709-17ec-410e-90c8-e3c0d7db72f5)\n\n\nWhen a package goes missing - our agent orchestrates resolution: pull order data, calculates refund amounts, files with carriers, monitors responses, parses updates, syncs internal systems, escalates exceptions - hundreds running in parallel.\n\nOur agents do not stop at task execution - we designed them to own outcomes. If a carrier doesn't respond, the agent follows up. If documentation is missing, it fetches it. Each agent has one objective: get the claim resolved.\n\n**about us:**\n\n[**Gregory Makodzeba:**](https://www.linkedin.com/in/gregory-makodzeba/)\n\n* Founded Rektoff: built blockchain security infrastructure protecting $100B+ in crypto assets (clients: Solana Foundation)\n* Led Developer Relations at Runtime Verification, working with NASA, Boeing, and Ethereum Foundation on formal verification for mission-critical systems\n* Grew up implementing ERP and WMS systems in the family distribution business\n\n[**Dima Yanovsky:**](https://www.linkedin.com/in/yanovsk/)\n\n* MIT grad: Computer Science + Electrical Engineering\n* Robotics research at MIT CSAIL under Prof. Pulkit Agrawal on manipulation policies;\n* Built internal and customer-facing AI agents at Pulley (YC W20) during early GPT era\n* Spent childhood automating warehouse operations and business processes\n\nWe both grew up in our parents' warehouses. When we weren't moving boxes around, we were doing the mundane back-office work every warehouse has (filing claims, reconciling invoices, chasing carriers). This was the pre-LLM era, so we had no choice but to grind through manual workflows. We saw firsthand how coordination became the biggest constraint on growth - and how no software could actually handle it end-to-end.\n\n![uploaded image](/media/?type=post&id=95414&key=user_uploads/3066807/68380300-ee0e-4379-98de-de1b551b269e)\n\nWe deeply understand the ontology of logistics operations. That's why we can ship integrations in days, not months. We're building the digital workforce we wish existed back then.\n\nIf you're running logistics operations at a 3PL, fulfillment center, or freight forwarder, or know someone who is - reach out: [founders@prox.inc](mailto:founders@prox.inc)\n\n---",
        "url": "https://www.ycombinator.com/launches/Oow-prox-digital-co-workers-for-logistics-operations",
        "votes": 130,
        "created_at": "2025-11-11T23:07:29.395Z"
      }
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  {
    "id": 30596,
    "name": "Adaptional",
    "slug": "adaptional",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8ea52a7c833e951c693eafd9561453164d5bf74c.png",
    "website": "https://www.adaptional.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Adaptional is building agentic AI for insurance claims. Claims are 75% of every dollar in the $1T insurance industry -- and one of the most under-optimized areas, still managed by adjusters working hundreds of files by hand. We're changing this with AI claims review agents, already deployed at some of the major P&C carriers. \r\n\r\nIn the future, claims will be powered by an intelligence layer that manages files and escalates actions to human adjusters. Adaptional is building the AI system that will be the foundation for every claims department across P&C insurance.",
    "one_liner": "AI-powered insurance claims review",
    "team_size": null,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1758589841,
    "tags": [
      "AIOps",
      "Insurance",
      "Enterprise",
      "Enterprise Software",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2025",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/adaptional",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/adaptional.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/adaptional",
    "x_url": "https://x.com/adaptionalAI",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8ea52a7c833e951c693eafd9561453164d5bf74c.png",
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    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
    },
    "founders": [
      {
        "user_id": 423912,
        "full_name": "Kevin Cox",
        "title": "Founder/CTO",
        "founder_bio": "Co-founded and sold digital insurance brokerage Savvy (W20). Led engineering teams at Clipboard Health while revenue grew profitably from $30M -> $130M. Building Adaptional - AI for commercial insurance.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/kevin-cox-90337b47/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2b7259298331b37a4b0148298d7000aa1740d138.jpg"
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        "user_id": 350876,
        "full_name": "Suril Kantaria",
        "title": "Founder",
        "founder_bio": "Cofounder of Adaptional S25 and Savvy W20, a digital insurance brokerage for startups & SMBs. Previously on the early team at X/xAI and Primer, a NLP lab that raised $250m+.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/suril-kantaria-59522922/",
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    ],
    "jobs": [
      {
        "id": 93126,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/adaptional/jobs/k7W6ge9-founding-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$180K - $280K",
        "equity_range": "1.00% - 2.00%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 99740,
        "title": "Founding GTM Lead",
        "url": "https://www.ycombinator.com/companies/adaptional/jobs/D8ofuWJ-founding-gtm-lead",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$140K - $185K",
        "equity_range": "0.35% - 0.75%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
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    ],
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    "id": 30598,
    "name": "GETASAP",
    "slug": "getasap",
    "former_names": [
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/642bff7a1b26de3309aed7fc5200498a8dca5180.png",
    "website": "https://www.getasap.us",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Founded in 2023, GETASAP is a San Francisco–based technology and supply chain infrastructure company transforming fresh produce distribution and freight.\r\n\r\nGETASAP Fresh provides same-day delivery to thousands of restaurants and retail locations across the USA, sourcing directly from farms internationally and operating global cold-chain infrastructure. It also operates an AI-native freight carrier and brokerage, delivering reliable reefer LTL and FTL services powered by VoiceAI dispatch, optimized scheduling, and real-time operational intelligence.",
    "one_liner": "AI-Native Fresh Produce Logistics",
    "team_size": 30,
    "industry": "B2B",
    "subindustry": "B2B -> Supply Chain and Logistics",
    "launched_at": 1755567142,
    "tags": [
      "B2B",
      "Logistics",
      "Supply Chain"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2025",
    "status": "Active",
    "industries": [
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      "Supply Chain and Logistics"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
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    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/getasap",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/getasap.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/get-asap/",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/642bff7a1b26de3309aed7fc5200498a8dca5180.png",
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    "primary_partner": {
      "name": "Harj Taggar",
      "url": "https://www.ycombinator.com/people/harj-taggar"
    },
    "founders": [
      {
        "user_id": 2775202,
        "full_name": "Raghav Arora",
        "title": "Founder/CEO",
        "founder_bio": "Started GETASAP at 14 - Building the Doordash(Dashmart) for B2B - we deliver inventory in 8 hours to retailers of any size using retail data & micro fulfillment centers.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/raghav-arora-516b1826b/",
        "x_url": "",
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        "title": "GETASAP ASIA: 8 Hour Distribution for Retailers in Southeast Asia 🏪",
        "tagline": "We’re the Amazon for B2B, supplying corner shops, restaurants, and supermarkets, ensuring shelves never go empty.",
        "body": "**Hey everyone** [👋](https://emojipedia.org/waving-hand)\n\nWe’re [Raghav](https://www.linkedin.com/in/raghav-arora-516b1826b/) (17 y/o) and [Krishna](https://www.linkedin.com/in/pranavkrishnasuresh/) (19 y/o), the co-founders of [GETASAP ASIA](https://bookface.ycombinator.com/company/30598).\n\n### **TL;DR**\n\n**We are a tech-enabled distributor for retailers in Southeast Asia.** We use software to offer the lowest prices and 8 hour same day delivery to corner stores, restaurants and supermarkets.\n\n**Today** **we supply** 40,000 outlets including 18 supermarket chains and hundreds of corner stores and restaurants. We stock 20,000+ SKUs from 270+ brands and operate several fulfillment centers across SEA.\n\n**Ask:**\n\nCan you intro us to CPG brands that could benefit from exposure to SEA market?\n\nCan you intro us to retail chains that we could supply to?\n\nCan you intro us to US retail tech executives?\n\nhttps://youtu.be/dPhL1k2n1Y8\n\n# **❌ The Problem**\n\nLegacy distributors _don’t believe in tech_.\n\n• Systems don’t talk to each other, so information is stuck in separate tools.\n\n• Lead times are long and freight isn’t optimized.\n\n• Forecasting is guesswork, which causes stockouts during peak season and costs stores significant revenue.\n\n• Labor costs are high, much of the work is manual, and prices are managed by hand, so margins shrink.\n\n# [**👷**](https://emojipedia.org/construction-worker)**The Solution**\n\nGETASAP ASIA is a tech-enabled distributor for retailers in Southeast Asia, operating a network of optimized fulfillment centers that restock stores in under 8 hours at the lowest landed price.\n\nOur enterprise-grade demand intelligence powers our 8-hour fulfillment model and enables real time stock tracking, automated reordering for stores, and forecasting that positions inventory close to demand—so orders move from purchase to shelf within hours and stockouts approach zero.",
        "url": "https://www.ycombinator.com/launches/OG9-getasap-asia-8-hour-distribution-for-retailers-in-southeast-asia",
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        "created_at": "2025-08-22T03:54:59.748Z"
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        "full_name": "Cody Swain",
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        "founder_bio": "Led the self-driving team at Parallel Systems and worked as a researcher at BAIR focused on robotics, world models, and large language models.",
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        "title": "Mechatronics Engineer",
        "url": "https://www.ycombinator.com/companies/parametric/jobs/tGNHtH7-mechatronics-engineer",
        "location": "San Francisco, CA, US",
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        "location": "San Francisco, CA, US",
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        "id": 95425,
        "title": "Parametric: RL for Robotics",
        "tagline": "Robots that learn from customer feedback",
        "body": "**TL;DR**\n\nExisting robots learn generic averages from massive datasets. Our robots learn from customer feedback.\n\nWe solve the RL feedback loop for robotics, allowing our robots to learn from _your_ specific standards via an automated reward pipeline that combines customer feedback with an intelligent judge model. This is the only way to capture the multi-trillion dollar “long tail” of unique, high-aggregate-value business tasks. \n\nWe’re live with real customers today and aggressively improving model performance. Our team led autonomy at Parallel Systems (series B startup; 100M raised) and scaled AI revenue for Facebook’s recommendation systems.\n\nhttps://youtu.be/EhiYJT52EJY\n\n**The Problem**\n\nThe real market for general purpose robotics is a multi-trillion dollar **“long tail” of differentiated tasks.** This is the market that traditional automation can’t touch. The core technology to solve this is _finally_ viable, but the long tail means the only path to success is adaptation to millions of specific customers' needs. \n\nWe’ve spoken to countless customers. No one has ever asked for a human form factor. They demand three things: **reliability, throughput, and control**. They want boxes packed in a specific order or towels folded lengthwise twice. Traditional learning algorithms don’t give this customer specificity.\n\nWhen you work backwards from these _actual_ customer requirements it becomes clear that we’re missing the bridge between customer feedback and model improvement.\n\n**Our Approach**\n\nWe build **robots** that learn from customer feedback and improve continuously. \n\n1. Adaptive Intelligence: At its core, an automated pipeline that combines customer feedback with a judge model to RL fine-tune a model and steer it towards positive behaviors, as defined by customers.\n2. Pragmatic Hardware: A mobile robot with a wheeled base and bimanual arms. Designed for long uptime and high throughput.\n\n \n\nOur models can learn new behaviors on-site with less than an hour of data, delivering low cost, effective automation immediately. \n\nIf you’d like to learn more, please reach out to us: [hello@parametric.company](mailto:hello@parametric.company).\n\n![uploaded image](/media/?type=post&id=95425&key=user_uploads/2757584/514106c9-df57-4f4e-aff8-de58700525d3)\n\n",
        "url": "https://www.ycombinator.com/launches/Op7-parametric-rl-for-robotics",
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        "created_at": "2025-11-12T07:26:05.335Z"
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    "linkedin_url": "https://www.linkedin.com/company/dedalus-labs",
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        "full_name": "Cathy Di",
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        "full_name": "Windsor Nguyen",
        "title": "Founder/CTO",
        "founder_bio": "Moving electrons really fast.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/windsornguyen",
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        "title": "Systems Engineer",
        "url": "https://www.ycombinator.com/companies/dedalus-labs/jobs/694An25-systems-engineer",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $250K",
        "equity_range": "0.50% - 1.00%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
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        "title": "Infrastructure Engineer Intern",
        "url": "https://www.ycombinator.com/companies/dedalus-labs/jobs/012beI1-infrastructure-engineer-intern",
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        "title": "Amid the AI boom, Princetonians swap school for Silicon Valley - The Princetonian",
        "url": "https://www.dailyprincetonian.com/article/2026/04/princeton-features-profiles-dropout-school-startups-silicon-valley-ai-boom",
        "date": "Apr 10, 2026"
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      {
        "title": "Disrupting Industries: Highlights from the Latest YC Demo Day",
        "url": "https://nextunicorn.ventures/disrupting-industries-highlights-from-the-latest-yc-demo-day/",
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        "title": "Y Combinator's Summer 2025 Demo Day Highlights Over 160 Startups with a Focus on AI Solutions",
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      {
        "title": "Dedalus Labs Review: Is This The “Vercel for AI Agents” We’ve Been Waiting For?",
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        "title": "Dedalus Labs: Build & Deploy Complex Agents in 5 Lines of Code",
        "tagline": "Build and deploy complex AI agents with any model and any tool in just 5 lines of code. No Docker files. No YAMLs. No wasted weeks.",
        "body": "# [**TL;DR:**](https://www.youtube.com/watch?v=E0FR4LBTSZo)\n\n_We’re excited to launch [Dedalus Labs](https://www.dedaluslabs.ai/), an AI-native cloud platform for developers to build agentic AI applications. Our [SDKs](https://github.com/dedalus-labs/dedalus-sdk-python) allows you to connect any LLM to any MCP servers – local or remotely hosted by us. No Docker files or YAML configs required._\n\n* **Blog:** https://dedaluslabs.ai/blog/dedalus-seed-round\n* **Product Demos:**\n  * https://www.youtube.com/watch?v=s2khf1Monho\n  * https://www.youtube.com/watch?v=4B1xuRCgLgA\n\n# **The Problem: Building Agents Is Hard**\n\nBuilding tool-using agents ≠ calling **_v1/chat/completions._**\n\nToday, developers are still stuck with:\n\n* Running their MCP servers locally.\n* If deploying remotely, wiring up AWS and config hell.\n* Juggling model quirks, streaming issues, and auth across GPT-4o, Claude 3.5, Sonnet, Flash, etc. (♾️ API keys).\n* Rebuilding everything just to add a new tool.\n\nWe were **_tired_** of writing hundreds of lines of code and battling Docker files and infra—all for a spaghetti agent that breaks under stress.\n\n**So, we built the tool we wished existed.**\n\n# **What We Offer: Complex Agents in 5 Lines of Code**\n\nDedalus invented the simplest way to build and deploy agents—a drop-in infrastructure layer that unifies models, tools, and orchestration.\n\nOur open-source SDK supports:\n\n* Vendor-agnostic model handoffs\n* Chaining both local tools and hosted MCPs\n* Real-time streaming across any provider\n\n—all in 5 lines of code.\n\nAnd our managed infra lets you **deploy an MCP server in 3 clicks**, so anyone can equip their agent with tools. No Docker files, no setup.\n\n# **Why MCP: Tools Made for Agents**\n\n[MCP (Model Context Protocol)](https://spec.modelcontextprotocol.io/) is becoming the standard for how models talk to tools. Think of it as an API that AI models already know how to call—reliable, predictable, and language-agnostic.\n\nAs more companies adopt MCP, exposing your product as an MCP server means you’re not just serving humans anymore—you’re serving _agents._\n\nWe’re building the infrastructure that powers that shift.\n\n# **Our Story: Two Princeton CS Students with High Standards**\n\nWe’re **Cathy** (ex-Voyage AI / Salesforce) and **Windsor** (ex-DeepMind / Sentient AGI).\n\nWe first ran into this problem while working with MCP during Windsor’s time at Sentient AGI. Every solution felt wrong: drag-and-drop GUIs, brittle configs, frameworks that broke under real workloads. Nothing met our standards for what good developer infrastructure should be.\n\nSo we built what we always wanted—a developer-first platform that makes agentic workflows composable, scalable, and effortless to ship.\n\n**If no one else is going to build it right, we will.**\n\n# **Get Started + Early YC Deal**\n\n* **Quick install:** **_pip install dedalus-labs_**\n* **Docs:** [docs.dedaluslabs.ai](http://docs.dedaluslabs.ai)\n* **YC Deal:** we’re giving $200 free credits to every YC company. Email [founders@dedaluslabs.ai](mailto:founders@dedaluslabs.ai) to claim your deal!\n\n![uploaded image](/media/?type=post&id=94675&key=user_uploads/1126811/4a1b700a-a1ab-41a3-a730-7b9a88b65500)\n\n_Let us build your wings_ so your agents can fly. 🪽",
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        "votes": 23,
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        "title": "Halluminate: Data and sandboxes to train computer use AI 🖥️",
        "tagline": "We help labs and enterprises train frontier computer/browser use agents",
        "body": "# **Tldr**\n\nAI workers must learn how to use our computers, browsers, and software interfaces to deliver real-world value. Today, computer use agents are unreliable and inaccurate. Halluminate is building realistic sandboxes and datasets to train better computer/browser use AI. \n\n# **Ask**\n\nLooking to chat with researchers or founders training computer/browser use agents! \n\n# **❌ Problem**\n\nOpenAI’s Operator and Claude’s Computer Use give us a glimpse into the future where AI can take control of digital interfaces and do real work. \n\nPerformance today is inaccurate/unreliable. There are two bottlenecks to performance improvements.\n\n**First, reliance on real-world testing:** researchers today train/test their browser- and computer-use agents on real-world sites. This is\n\n* **Unsafe** - agent actions have real consequences and data impact\n* **Slow** - challenging to parallelize\n* **Difficult to reproduce** - the real world is dynamic; the starting conditions cannot be “reset” easily, and data changes\n* **Lots of noise -** proxy, captcha, auth/login, ads, etc,. make it difficult to do clean testing/training\n\n**Second, lack of high-quality data:** High-quality data provides the basis for evaluations and benchmarking. Producing this at scale is expensive, time-consuming, and logistically exhausting. \n\n# **💡 Our Solution**\n\n[Launch YC - Halluminate](https://www.loom.com/share/9085ae5542b54fa491c9a59115f1885b)\n\nAt Halluminate, we’re building a suite of products and services to address both these issues. \n\n* **Realistic sandboxes** – Fully managed, parallelizable environments modeled after popular systems (e.g., Salesforce, Slack, Ticketing Software, websites) for safe and accurate computer/browser use training and testing.\n* **Datasets** – proprietary benchmarks and datasets\n* **Evaluations -** high-quality error analysis powered by expert annotators to identify and prioritize the biggest failure modes for our customers\n\nOur customers see\n\n* Improved browser- and computer-use agent performance\n* New and emergent frontier agent capabilities\n* Data-driven prioritization leading to exponentially faster development speed\n* Increased revenue/sales via marketing from public benchmarks\n\n# **🌐 Our Mission**\n\nUnlock significant advancements in browser and computer use AI capabilities. We believe this is necessary to usher in a new generation of use cases, startups, and productive AI workers. \n\n# **📜 Backstory**\n\nWyatt and I met while studying CS at Cornell and have been living and working together for over 7 years.\n\nI previously led product/research at Capital One Labs, where I launched one of the first AI agents in banking. Wyatt previously was a Cornell Milstein scholar and did large-scale data engineering for 2 early-stage startups in NYC. \n\nWe faced these problems first-hand while building evals for browser/computer use agent companies. We didn’t see any good solutions, so we’re building one ourselves. \n\nWe’re in SF for the foreseeable future. Contact us if you wanna grab a coffee, go for a walk, or play pick-up basketball! \n\nEmails: [jerry@halluminate.ai](mailto:jerry@halluminate.ai), [wyatt@halluminate.ai](mailto:wyatt@halluminate.ai)\n\n# **🙏 Our Asks**\n\n* Follow us on socials (Jerry: [LinkedIn](https://www.linkedin.com/in/jerry-wu-7814b0100/), [Twitter](https://x.com/Jerr_Wu) Wyatt: [LinkedIn](https://www.linkedin.com/in/wyatt-marshall-a40797198/), [Twitter](https://x.com/wgm752))\n* Introductions to researchers and founders building computer/browser use agents\n* Introductions to experts in RL & post-training \n* Introductions to companies that sell training data to large labs\n\n![uploaded image](/media/?type=post&id=91428&key=user_uploads/993166/2e84352c-3f24-4830-91f4-adcfcae5ef61)\n\n",
        "url": "https://www.ycombinator.com/launches/Nme-halluminate-data-and-sandboxes-to-train-computer-use-ai",
        "votes": 42,
        "created_at": "2025-06-18T23:07:42.736Z"
      }
    ]
  },
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    "id": 30610,
    "name": "TraceRoot.AI",
    "slug": "traceroot-ai",
    "former_names": [
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    "website": "https://traceroot.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "TraceRoot is the open-source AI agent improvement platform. Turn production traces into actionable feedback and evals, closing the improvement loop with your coding agent.",
    "one_liner": "Open Source AI Agent Improvement Platform",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1753318246,
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      "Open Source",
      "Infrastructure",
      "AI"
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
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    "status": "Active",
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    "regions": [
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      "Partly Remote"
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    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
    "question_answers": null,
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    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/traceroot-ai.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/traceroot-ai",
    "x_url": "https://x.com/TracerootAI",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/traceroot",
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/fc86727a443ac448343eba0a5ce27b88d63b2f8f.png",
    "app_video_url": null,
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    "primary_partner": {
      "name": "Jon Xu",
      "url": "https://www.ycombinator.com/people/jon-xu"
    },
    "founders": [
      {
        "user_id": 2543076,
        "full_name": "Xinwei He",
        "title": "Founder/CEO",
        "founder_bio": "Founder and CEO at TraceRoot.AI.\nPrev. Research Scientist at Meta & Founding Engineer at Kumo.AI (Forbes 50 AI).\nStanford CS, published in top conferences including ICLR, NeurIPS, KDD.\nOSS Core Contributor: PyTorch Geometric.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/xinwei-he-586512134/",
        "x_url": "https://x.com/xinwei_97",
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    "jobs": [
      {
        "id": 84777,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/traceroot-ai/jobs/xLdkDw5-founding-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $220K",
        "equity_range": "0.50% - 2.00%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": [
          "Node.js",
          "Python",
          "React",
          "TypeScript"
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      },
      {
        "id": 86084,
        "title": "Software Engineering Intern",
        "url": "https://www.ycombinator.com/companies/traceroot-ai/jobs/RCbNRRq-software-engineering-intern",
        "location": "San Francisco, CA, US / Remote",
        "type": "Internship",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$4K - $8K / monthly",
        "equity_range": "",
        "experience": null,
        "visa": "Will sponsor",
        "skills": [
          "Node.js",
          "Python",
          "React",
          "TypeScript"
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      {
        "id": 103799,
        "title": "Founding GTM",
        "url": "https://www.ycombinator.com/companies/traceroot-ai/jobs/9JpJdnw-founding-gtm",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$100K - $140K",
        "equity_range": "0.25% - 1.00%",
        "experience": "1+ years",
        "visa": "Will sponsor",
        "skills": [
          "Python",
          "SQL",
          "Data Analytics",
          "Growth design",
          "Marketing design"
        ]
      },
      {
        "id": 105076,
        "title": "Developer Marketing Intern",
        "url": "https://www.ycombinator.com/companies/traceroot-ai/jobs/dk1ep2K-developer-marketing-intern",
        "location": "San Francisco, CA, US / Remote (US; CA)",
        "type": "Internship",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$4K - $6K / monthly",
        "equity_range": "",
        "experience": null,
        "visa": "Will sponsor",
        "skills": [
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          "Growth design",
          "Marketing design"
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    ],
    "news": [],
    "launches": [
      {
        "id": 92809,
        "title": "TraceRoot - Open source AI agents that automatically fix your production bugs",
        "tagline": "We help engineering teams fix production bugs faster using AI agents.",
        "body": "# TL;DR\n\nTraceRoot is an open-source debugging platform that helps engineers fix production issues faster by using AI agents that intelligently leverage structured context - including traces, logs, metrics, source code, GitHub PRs, issues, and Slack threads to analyze and resolve bugs efficiently.\n\nOur SDK just crossed 10,000 downloads and engineering teams are using our product to monitor, debug, and improve visibility for their production systems.\n\nhttps://www.youtube.com/watch?v=I9fjV_9dM-4\n\n# Our Story\n\nWe’re Stanford-trained engineers and ex-builders from [Kumo.AI](http://Kumo.AI) (Forbes AI 50), Meta Platforms, and AWS, where we fixed 300+ production bugs and experienced firsthand how painful debugging can be in distributed systems. It was so painful that we quit our jobs to solve this problem and [open-sourced](https://github.com/traceroot-ai/traceroot) it!\n\n# The Problem\n\nDebugging production issues today is a mess. Here's what happens:\n\n* You spot an error during release or in production. You open Grafana, check logs, jump to GitHub, scroll Slack, and try to piece things together.\n* Sharing findings? It’s a chain of screenshots, links, and DMs - super painful.\n* It takes engineers hours even days to fix a production bug.\n* Meanwhile, you're drowning in 10+ P0 bugs across multiple releases, and customers won’t stop pinging you on Slack.\n\n# Our Solution\n\nWe built TraceRoot, an agentic debugging platform that ties all your context together and helps your team get to the root cause.\n\n* AI agents automatically summarize the issue and trace logs, spans, and GitHub context into a single execution tree. Ask the agent any question you want to debug.\n* Once the issue is understood, generate GitHub issues or draft PRs directly from the platform.\n* Visual trace explorer that lets you zoom into log clusters, suspicious spans, and trace paths. You can guide the agent by selecting spans or contexts to focus on.\n\n![uploaded image](/media/?type=post&id=92809&key=user_uploads/2543076/7af84b17-1836-4743-9590-dcdd3e862b8e)\n\n# The Ask\n\nIf you're stuck vide-coding through bugs or if your team spends a significant amount of engineering time fixing production issues. We’d love to help!\n\nGive our product a try! Schedule a meeting at https://cal.com/traceroot/30min or email us at [founders@traceroot.ai](mailto:founders@traceroot.ai)\n\n![uploaded image](/media/?type=post&id=92809&key=user_uploads/2543076/5670184a-7bc0-4f39-994e-1e9a297106c7)\n\n",
        "url": "https://www.ycombinator.com/launches/O8v-traceroot-open-source-ai-agents-that-automatically-fix-your-production-bugs",
        "votes": 27,
        "created_at": "2025-08-07T06:27:04.705Z"
      }
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  },
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    "id": 30611,
    "name": "AgentMail",
    "slug": "agentmail",
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    "website": "https://agentmail.to",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "AgentMail is the email inbox API for AI agents. It gives agents their own email inboxes, like Gmail does for humans.",
    "one_liner": "Email Inboxes for AI Agents",
    "team_size": 10,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1750990316,
    "tags": [
      "Developer Tools",
      "API",
      "Email"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
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    "status": "Active",
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      "America / Canada"
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    "url": "https://www.ycombinator.com/companies/agentmail",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/agentmail.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/agentmailto",
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    "primary_partner": {
      "name": "Ankit Gupta",
      "url": "https://www.ycombinator.com/people/ankit-gupta"
    },
    "founders": [
      {
        "user_id": 698162,
        "full_name": "Haakam Aujla",
        "title": "Founder/CEO",
        "founder_bio": "Founder at AgentMail\nPrev quant researcher at Optiver",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/haaaujla/",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/49e356f9fbf79e77da670ff6c0df9fa27f1c193c.jpg"
      },
      {
        "user_id": 1149366,
        "full_name": "Michael Kim",
        "title": "Founder/CTO",
        "founder_bio": "Founder at AgentMail\nPrev @NVIDIA on Autonomous Vehicles\n\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/hyun-michael-kim-281242220/",
        "x_url": "https://x.com/michaelhyunkim",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fca64e6a76cd628a51463a3d516235c35583849e.jpg"
      },
      {
        "user_id": 1310091,
        "full_name": "Adi Singh",
        "title": "Founder",
        "founder_bio": "Founder at AgentMail. Previously invested at Accel, StepStone Group,and Flex Capital. Former operator across accounting, edtech, and e-commerce.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/adivirsingh13",
        "x_url": "https://x.com/adisingh",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a23a6aea2b77be113b65dfe676fd771bbb4ffd33.jpg"
      }
    ],
    "jobs": [
      {
        "id": 84801,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/agentmail/jobs/x66bmSk-founding-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$150K - $250K",
        "equity_range": "0.50% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
          "Amazon Web Services (AWS)",
          "Node.js",
          "TypeScript",
          "DynamoDB"
        ]
      },
      {
        "id": 90991,
        "title": "Senior Engineer, Backend/Infra",
        "url": "https://www.ycombinator.com/companies/agentmail/jobs/952yKNS-senior-engineer-backend-infra",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$250K - $400K",
        "equity_range": "1.00% - 2.00%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": [
          "Amazon Web Services (AWS)"
        ]
      },
      {
        "id": 99327,
        "title": "GTM Engineer",
        "url": "https://www.ycombinator.com/companies/agentmail/jobs/MZN8Drx-gtm-engineer",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $200K",
        "equity_range": "0.10% - 0.40%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104427,
        "title": "Founding GTM & Operations Lead",
        "url": "https://www.ycombinator.com/companies/agentmail/jobs/c2CPSue-founding-gtm-operations-lead",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$110K - $175K",
        "equity_range": "0.20% - 0.80%",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104428,
        "title": "Founding PLG & Community Lead",
        "url": "https://www.ycombinator.com/companies/agentmail/jobs/tlOY6Ny-founding-plg-community-lead",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Support",
        "role_type": null,
        "salary_range": "$110K - $175K",
        "equity_range": "0.20% - 0.70%",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104429,
        "title": "Agent Experience Engineer",
        "url": "https://www.ycombinator.com/companies/agentmail/jobs/bTtTUQZ-agent-experience-engineer",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$125K - $190K",
        "equity_range": "0.30% - 0.80%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 113765,
        "title": "Developer Support Engineer",
        "url": "https://www.ycombinator.com/companies/agentmail/jobs/BrmNn3p-developer-support-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$100K - $140K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115147,
        "title": "Founding Product Engineer",
        "url": "https://www.ycombinator.com/companies/agentmail/jobs/uBDHJL8-founding-product-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$200K - $250K",
        "equity_range": "0.50% - 0.75%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "AgentMail raises $6M to build an email service for AI agents | TechCrunch",
        "url": "https://techcrunch.com/2026/03/10/agentmail-raises-6m-to-build-an-email-service-for-ai-agents/?utm_source=dlvr.it&utm_medium=twitter",
        "date": "Mar 10, 2026"
      }
    ],
    "launches": [
      {
        "id": 91972,
        "title": "AgentMail - The API-first email provider for AI agents",
        "tagline": "Give AI agents their own email inboxes",
        "body": "# TLDR\n\nAgentMail is the first email provider for AI agents. Use our API to give your agents their own email inboxes.\n\n# Why?\n\nWe started building email agents because they can live within users’s inboxes in their inboxes and authenticate themselves with third-party applications. But building on top of legacy providers such as Gmail is a struggle. They\n\n* Lack API support for creating new inboxes\n* Charge monthly subscriptions per inbox\n* Impose restrictive rate and sending limits\n* Offer poor developer experience\n\nThese providers don’t scale with both inbox creation or volumes of emails sent/received that AI agents often face, so we’re rebuilding email infrastructure from scratch to enable this.\n\n# Solution\n\nAgentMail is an API-first email provider that gives agents their own inboxes to send, receive, and act upon emails. Think of it like Gmail, but with\n\n 1. Programmatic inbox creation and management\n 2. Usage-based pricing scaling with emails sent/received\n 3. No restrictive rate/sending limits\n 4. Real-time events over webhooks and websockets\n 5. Simple API key auth – no OAuth headaches\n 6. Built-in API permissions and agent guardrails\n 7. Semantic search across every inbox in organization\n 8. Automatic labeling with user-defined prompts\n 9. Structured data extraction\n10. And more on the way!\n\n# Demo\n\nIn this demo, we show how easy it is to build an email agent with AgentMail: https://youtu.be/1V7BISeFUTM\n\nIn this demo, we show an example of a voice + email agent built with AgentMail: [https://youtu.be/eG2fCsRK4RY](https://youtu.be/eG2fCsRK4RY?feature=shared)\n\n# Ask\n\nIf you are building agents that could use email capabilities, we would love to learn more about your company. You can reach us at [founders@agentmail.cc](mailto:founders@agentmail.cc)\n\nhttps://agentmail.to",
        "url": "https://www.ycombinator.com/launches/NvQ-agentmail-the-api-first-email-provider-for-ai-agents",
        "votes": 91,
        "created_at": "2025-07-08T22:02:41.115Z"
      }
    ]
  },
  {
    "id": 30612,
    "name": "truthsystems",
    "slug": "truthsystems",
    "former_names": [
      "Truth Systems"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a8136f761e13642b6fed7c2f34b631be3b028652.png",
    "website": "https://www.truthsystems.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Truth Systems provides a compliance agent to govern the use of generative AI. It translates operational policies into intelligent, real-time guardrails that monitor every AI interaction. This empowers companies to proactively block non-compliant actions and align access to AI tools with user competency. By eliminating the risks and operational blind spots associated with uncontrolled AI adoption, our platform enables enterprises to fully leverage the technology's potential without compromising security. \r\n\r\nWe are establishing the new standard for AI governance, building a future where every professional can innovate safely and confidently.",
    "one_liner": "Automatically blocking risky behavior with real-time governance agents",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1753229882,
    "tags": [
      "B2B",
      "AI"
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        "body": "**TL;DR:** We’ve developed the SOTA model for controlling robot arms, allowing our arms to learn new skills in hours instead of weeks. This enables rapid deployment and a unique business model where we can let companies pay by-the-hour, instead of requiring massive capex. We already have a biotech unicorn using our robots in production to package delicate chemical vials.\n\nhttps://www.youtube.com/watch?v=WHzjweFnbkk&feature=youtu.be\n\n# **The Problem: Robots are difficult to deploy & have fixed workflows**\n\nTraditional robot arms often require months of custom engineering and planning to integrate. These bulky, rigid, and expensive systems take up substantial floor space and are hard-coded for a single workflow. Adapting to new tasks means weeks of downtime and reprogramming. As a result, companies often default to increasing headcount to keep up with demand.\n\n![uploaded image](/media/?type=post&id=92471&key=user_uploads/1318663/7be314c8-ffa9-46e3-82cf-34b72e78c2cd)\n\n# **What we do: Drop-in autonomous robot arms that deploy in days**\n\nOur first product – Nemo3 – is a bimanual robot that can handle objects within a 2.5-foot radius, supports payloads up to 4 lbs, and can be mounted flexibly in various environments. Unlike traditional robot arms, Nemo3 rapidly learns new tasks and adapts to changing conditions on the fly. Our AI decomposes 30 minutes of tele-operation data into skills and uses diffusion models to learn each skill. The result is fast and robust automation for our customers. \n\nAs one of our customers put it: “What surprised me most was how fast you set it up. After one weekend it was set up.” It took us just 4 days to get the robot deployed at ABClonal - from unpacking the robot to automating the vial packing task.\n\n# **Who needs this**\n\nOur robots excel at dexterous manipulation tasks. Here are a few industries we can help:\n\n* DTC Meal Kits: Speed up meal kit assembly with automated packing. \n* Consumer Packaged Goods: Automate kitting to create variety packs with mixed SKUs. \n* Warehouses/Logistics: Sort parcels and pack irregular items faster and at lower cost.\n* Biotech: No more manual clean room disinfection or glovebox work\n\n![uploaded image](/media/?type=post&id=92471&key=user_uploads/1318663/13eac3c1-2454-494a-9bcc-85819cd28f34)\n\n# **Our Ask**\n\nDo you know any manufacturers, distributors, or logistics companies burning time & money on repetitive manual tasks? Maybe they’ve tried other solutions and think it’s impossible to automate?\n\nReach us at: [founders@vernerobotics.com](mailto:founders@vernerobotics.com)\n\nBook a time: https://cal.com/vernerobotics/30min\n\n# **The Team**\n\nNeil is a leading robot learning researcher from Columbia and Stanford. At Columbia he was advised by Prof. Shuran Song and at Stanford he was advised by Prof. Jiajun Wu, as part of the Vision & Learning Lab led by Prof. Fei-Fei Li. Neil holds two patents on multi-modal perception from his time at Apple, where he helped build the Apple Vision Pro. Neil left his PhD at Berkeley to start Verne Robotics.\n\nAditya led Azure Copilot from private preview to GA Launch on Microsoft’s product team. He graduated Phi Betta Kappa from Cornell University. \n\n🤝 We met in high school tinkering with robots and now our mission is giving every company access to automation.\n\n![uploaded image](/media/?type=post&id=92471&key=user_uploads/1318663/d410a5f6-dcca-419e-a884-8b09536ae157)\n\n",
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        "id": 92566,
        "title": "Mechanical Engineer",
        "url": "https://www.ycombinator.com/companies/galactic-resource-utilization-space-inc-gru-space/jobs/BPAqbIe-mechanical-engineer",
        "location": "Hawthorne, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Mechanical",
        "salary_range": "$120K - $170K",
        "equity_range": "0.25% - 0.75%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "CAD Design"
        ]
      },
      {
        "id": 92567,
        "title": "Founding Lunar Avionics / Electronics Engineer",
        "url": "https://www.ycombinator.com/companies/galactic-resource-utilization-space-inc-gru-space/jobs/XwpIv3E-founding-lunar-avionics-electronics-engineer",
        "location": "Hawthorne, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Electrical",
        "salary_range": "$125 - $175",
        "equity_range": "0.25% - 0.75%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "C",
          "C++"
        ]
      },
      {
        "id": 92568,
        "title": "Thermal / Structures Engineer",
        "url": "https://www.ycombinator.com/companies/galactic-resource-utilization-space-inc-gru-space/jobs/zibQKVl-thermal-structures-engineer",
        "location": "Hawthorne, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Mechanical",
        "salary_range": "$120 - $170",
        "equity_range": "0.25% - 0.75%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "This company is taking $1 million reservations for hotel rooms on the moon | Space",
        "url": "https://www.space.com/astronomy/moon/this-company-is-taking-usd1-million-reservations-for-hotel-rooms-on-the-moon",
        "date": "Jan 13, 2026"
      },
      {
        "title": "Want to vacation on the moon? GRU Space opens $1M reservations | ChicagoLIVE | FOX 32 Chicago",
        "url": "https://www.fox32chicago.com/video/fmc-yuavqe6lzh3pa4pq",
        "date": "Jan 13, 2026"
      },
      {
        "title": "GRU Space Opens Bookings for Planned Lunar Hotel",
        "url": "https://payloadspace.com/gru-space-opens-bookings-for-planned-lunar-hotel/",
        "date": "Jan 12, 2026"
      },
      {
        "title": "This 22-year-old founder is building the world's first hotel on the Moon",
        "url": "https://www.founded.com/meet-the-22-year-old-founder-building-the-worlds-first-hotel-on-the-moon/",
        "date": "Jan 12, 2026"
      },
      {
        "title": "You can now reserve a hotel room on the Moon for $250,000 - Ars Technica",
        "url": "https://arstechnica.com/space/2026/01/you-can-now-reserve-a-hotel-room-on-the-moon-for-250000/",
        "date": "Jan 12, 2026"
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    "launches": [
      {
        "id": 98679,
        "title": "GRU Space - The Moon Factory",
        "tagline": "GRU's Moon Factory will build the world's first bricks on the Moon & permanent lunar infrastructure.",
        "body": "In just 6 weeks, GRU Space built the world’s first [Moon Factory](https://youtu.be/k9X7TuAxNrw) for under $5,000. GRU’s patent-pending prototype autonomously: \n\n• mines lunar soil (regolith)  \n\n• refines it using a geopolymer process  \n\n• turns it into structural bricks to build lunar infrastructure GRU has also built a patent-pending modular inflatable habitat designed to withstand the temperature and pressure extremes on the Moon. \n\nCombining with the Moon Factory, it forms the basis of the first lunar hotel, Moon base, and ultimately, permanent lunar infrastructure. \n\nBefore GRU, lunar habitats can only be built on Earth. At hundreds of thousands of dollars per kilogram, that makes large-scale lunar bases nearly impossible. \n\nHumanity has not built a product on the Moon yet. At GRU, we are changing that. \n\nAs early as next year, GRU will land a small-scale version of their factory & inflatable on the Moon. \n\nHumanity cannot become interplanetary until we solve off-world surface habitation. Once solved, it will become the Promethean moment that will enable billions of human lives to be born on the Moon and Mars.",
        "url": "https://www.ycombinator.com/launches/Pfb-gru-space-the-moon-factory",
        "votes": 21,
        "created_at": "2026-03-10T22:44:10.081Z"
      },
      {
        "id": 96700,
        "title": "GRU Space: First Hotel on the Moon - Applications Open 🌕",
        "tagline": "Building the First Hotel on the Moon",
        "body": "**TL;DR: You can now book a Hotel on the Moon for 2032.**\n\nGRU Space (YC W26) is building off-world habitats starting with a hotel on the Moon. Learn more in this [video](https://youtu.be/GOwUlkNw8eg) and apply to stay at [gru.space/reserve](https://gru.space/reserve)\n\n**🌕 About GRU**\n\nGRU develops in-situ resource utilization technology, transforming local lunar material into durable building structures. The first habitat is a lunar hotel for space tourists, targeting opening in 2032. From there, GRU aims to lay the foundation for America’s Moon base, future Mars cities, and a truly interplanetary civilization. **More in our [Whitepaper](https://gru.space/wp).**\n\n⚙️ **The GRU Team**\n\nHey, I’m [Skyler](https://www.linkedin.com/in/skylerchan03/), founder of GRU Space. I’ve wanted to fly to space since I was 3, and was an Air Force trained pilot at 16. Realized building technology to enable everyone to go to space felt more meaningful than just enabling myself to go to space, I dove into hardware and software and started my undergrad at Berkeley EECS. I worked on vehicle software at Tesla, built a NASA funded 3D printer that launched into space aboard Virgin Galactic, and authored at the world’s largest space conference (IAC 2025). GRU’s growing early team consists of former Ethos Space CTO and Colorado School of Mines professor Dr. Kevin Cannon (first founding Member of Technical Staff) and Dr. Robert Lillis (Advisor) who was the Principal Investigator of the latest NASA Mars mission that launched on Blue Origin’s New Glenn, [**ESCAPADE**](https://science.nasa.gov/blogs/escapade/2026/01/07/nasas-escapade-spacecraft-completes-trajectory-maneuver/).\n\n**⭐ GRU’s path to a Trillion Dollar Company:**\n\nWe don’t stop at Moon hotels. GRU’s Master Plan:\n\n1\\. Build the first hotel on the Moon. GRU solves off‑world surface habitation.\n\n2\\. Build America’s first Moon base: roads, mass drivers, warehouses, and physical infrastructure.\n\n3\\. Repeat on Mars and build the first cities there.\n\n4\\. Own property on the Moon and Mars as these economies grow.\n\n5\\. Reinvest profits into resource utilization systems on the Moon, Mars, asteroids, and beyond—reaching our final form: Galactic Resource Utilization.\n\nThe next trillion-dollar company will be in human infrastructure: building the first cities on the Moon, Mars, and beyond. If we succeed, we will enable billions of human lives to be born.\n\n✅ **Asks:**\n\n1. **Apply to stay on the Moon at** [gru.space/reserve](https://gru.space/reserve).\n2. **Government intros**: we need your help to make GRU the ones to build America’s Moon base.\n3. **Enterprise intros:** companies that want to be the first brand in their field on the Moon. Think F1 sponsors, but on the Moon.\n4. **Change the world.** <https://gru.space/careers>",
        "url": "https://www.ycombinator.com/launches/P9g-gru-space-first-hotel-on-the-moon-applications-open",
        "votes": 122,
        "created_at": "2026-01-12T13:39:30.212Z"
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  },
  {
    "id": 30636,
    "name": "EffiGov",
    "slug": "effigov",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f7ff2d4057e1128c01e602989e199ee71f53d392.png",
    "website": "https://effigov.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "EffiGov is building an AI OS for local governments. We've started with AI call operators that answer 311 and departmental lines 24/7 - handling everything from permit applications to animal control.",
    "one_liner": "The AI OS for Cities",
    "team_size": 3,
    "industry": "Government",
    "subindustry": "Government",
    "launched_at": 1755582399,
    "tags": [
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      "AI"
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2025",
    "status": "Active",
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    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/effigov",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/effigov.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/effigov/",
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    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/effigov",
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        "user_id": 1860781,
        "full_name": "Aubteen Pour-Biazar",
        "title": "Founder/CEO",
        "founder_bio": "Building the AI OS for cities. Fmr White House, City Gov",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/aubteen-pour-biazar/",
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        "full_name": "Aden Clemente",
        "title": "Founder/CTO",
        "founder_bio": "Building the AI OS for cities. Prev built an enterprise AI agents product @ Atlassian and studied CS @ Duke",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/aden-clemente",
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        "id": 103570,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/effigov/jobs/ZtQu2FO-founding-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $200K",
        "equity_range": "0.60% - 3.00%",
        "experience": "3+ years",
        "visa": "Will sponsor",
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    "launches": [
      {
        "id": 93160,
        "title": "EffiGov - The AI Call Center for Local Governments",
        "tagline": "24/7 constituent service, without the wait",
        "body": "EffiGov is a Voice AI call center for local governments that answers constituent questions, files service requests, and routes calls to the right department. Today, residents calling city hall are often bounced between departments, asked to repeat themselves, and left waiting for answers - a process that frustrates the public, exhausts staff, and slows governments down. \n\nFewer than 2% of cities can afford a centralized 311 call center to fix this - for everyone else, it’s been cost-prohibitive. We change that. \n\nWith EffiGov, cities get 24/7 coverage, reduced staffing strain, and fewer misroutes. Residents get answers and action in one call - day or night.\n\nWe’re already live in a county of 160,000 residents, where EffiGov is handling constituent service calls around the clock. Here’s a photo from our onsite visit with their Assistant County Administrator:\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXfQ0o-fGuHAxsodOLezKjnidHiR4FLxtQvDCkCveHfG-uJSO1BrBvYu75RVNwnfWH6Yry05sUNHJmlxE8JiUrx7OJNurz1EhJcDehnQckFeyygi6TeTfTcwanXncl-7b7crxOOE6A?key=O0mj2zmftTTinKhFm2HN-w)\n\nWho we are: We’re friends from college who’ve been building govtech for the past 12 months. Aubteen is a former White House intern who has spent years working with local governments; Aden launched Atlassian’s AI agent, Rovo.\n\nOur ask: Know someone in city government - especially leadership or constituent-facing services? We’d love an intro. [founders@effi-gov.com](mailto:founders@effi-gov.com) \n\n_Every call answered. Every constituent heard. Every community served._\n\nhttps://youtu.be/lRKtludzPk8\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXdQZXqkxVMvDHbNaZXIzCPN7bKXkK4RiLPeRB6NZXGzsDE7gOfHR46L7FtGP8xZaJZokLu_5X8CsEUsNtA8fOhAJmUHbIe1lXa7b1PgIYPvrhZbq2xQFbRsrNjY8ZAo9GNRvtJh?key=O0mj2zmftTTinKhFm2HN-w)\n\n",
        "url": "https://www.ycombinator.com/launches/OEa-effigov-the-ai-call-center-for-local-governments",
        "votes": 76,
        "created_at": "2025-08-20T01:12:57.595Z"
      }
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    "id": 30642,
    "name": "Orange Slice",
    "slug": "orange-slice",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9a35549672464ddd96cd4caea3ef725e10f03c19.png",
    "website": "https://orangeslice.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Orange Slice is a spreadsheet where every column is TypeScript—and AI writes it for you. Describe what you want in chat (\"find the CEO's LinkedIn and get their email\"), and we generate the code, create the columns, and run it across thousands of rows. Our fully-typed SDK has 100+ enrichments built in: LinkedIn, contact info, company data, web scraping, AI research. Columns automatically execute in dependency order. No workflow builders—just describe it or code it.",
    "one_liner": "Agentic sales enrichment spreadsheet",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Sales",
    "launched_at": 1751662616,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2025",
    "status": "Active",
    "industries": [
      "B2B",
      "Sales"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/orange-slice",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/orange-slice.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/orange-sliceai/",
    "x_url": "https://x.com/orangesliceai",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/9a35549672464ddd96cd4caea3ef725e10f03c19.png",
    "app_video_url": null,
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    "company_photos": [],
    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
    },
    "founders": [
      {
        "user_id": 1793084,
        "full_name": "Vihaar Nandigala",
        "title": "Founder/CEO",
        "founder_bio": "Founder and CEO at OrangeSlice. Sold previous company at 19 and ex-J.P. Morgan ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/vihaar-nandigala/",
        "x_url": "https://twitter.com/VihaarNandigala",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/79b5aeef454a2194a4eb7a8373fb17d85ff22312.jpg"
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    ],
    "jobs": [
      {
        "id": 85602,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/orange-slice/jobs/xQossob-founding-engineer",
        "location": "San Francisco, CA, US / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $250K",
        "equity_range": "0.50% - 5.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
          "TypeScript"
        ]
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    ],
    "news": [],
    "launches": [
      {
        "id": 97591,
        "title": "Orange Slice: Claude Code for GTM",
        "tagline": "AI agents, inside a spreadsheet, that help sales teams find companies that already want to buy.",
        "body": "We’re building AI agents, inside a spreadsheet, that help sales teams find companies that already want to buy.\\\n\\\nThe reality is most sales teams don’t struggle with effort - they struggle with timing.\\\nReps spend huge amounts of time working static lists and broad targeting, chasing leads that were never going to convert. That creates noise, low reply rates, and wasted cycles.\\\nTop companies like Ramp solve this with dedicated growth engineers building internal data workflows.\\\nWe’re making that same capability accessible to everyone else.\\\n\\\nAt its core, the challenge is simple: \\*\\*finding customers who already have the problem you solve.\\*\\*\\\nOrange Slice turns the spreadsheet into a system for discovering buying signals - agents research company sites, news, social signals, and niche sources like court records or building permits, then structure that information directly into columns teams can act on.\\\n\\\nNot “might be a fit.”\\\nBut “likely in-market.”\\\n\\\nSo instead of guessing who to target, teams build and refine living lists of high-intent accounts inside a sheet.\\\n\\\nStill early. Still learning.\\\nBut we’re excited to keep building.\\\n\\\nKishan and I met sophomore year on a Bollywood dance team at Michigan — and I couldn’t ask for a better co-founder.\\\n\\\n<https://youtu.be/le727v1A5l8>",
        "url": "https://www.ycombinator.com/launches/PO3-orange-slice-claude-code-for-gtm",
        "votes": 10,
        "created_at": "2026-02-06T18:14:19.276Z"
      },
      {
        "id": 92110,
        "title": "Orange Slice 🍊 - Prospects That Already Want to Buy",
        "tagline": "AI-agents that find you customers who already want to buy",
        "body": "We’re Kishan and Vihaar! We’re the founders of Orange Slice, where we find you customers who already want to buy!\\\n**\\\nTL;DR — AI agents that search the entire web for signals / firmographic data that suggests a customer wants your exact product**\n\n[**https://www.youtube.com/watch?v=oSqFhoO4bHs**](https://www.youtube.com/watch?v=oSqFhoO4bHs%5C)\n\n# ❌ The problem:\n\nSales teams waste time and money reaching out to people who aren’t good fits for their product. How often do you receive a cold email about something you don’t care about at all?\n\n# 🚀 Our solution:\n\nWe built custom scraping and crawling infra that finds high-intent prospects by **scanning online data sources such as company websites, news articles, job postings, and social media**. We specialize in industry-specific data sources - think court dockets for legal tech, building permits for proptech, or freight brokerage listings for logistics.\\\n\\\nThink about it like assigning a **“score”** to all potential prospects so you spend time focusing on ones that **are already likely to buy**.\n\n# Why\n\nPreviously, **Kishan** ran a growth experiment at **Ramp** where he noticed that growth doesn’t come from gimmicky emails, but from finding the right customers at the right time. **Vihaar**, who sold his first restaurant tech startup at 19, learned the same lesson the hard way: the biggest lever in sales isn’t what you say - it’s who you say it to.\n\n![uploaded image](/media/?type=post&id=92110&key=user_uploads/1452620/5421cde8-fb83-4de7-aec5-63d956975213)\n\n# **🙏 Our Ask:**\n\n* Do you know any businesses with lots of sales reps that do lots of manual research?\n* If you refer us to someone who signs with us, we will send you $500/month as long as they stay with us.\n\n👉 Contact us at [vihaar@orangeslice.ai](https://mailto:vihaar@orangeslice.ai)",
        "url": "https://www.ycombinator.com/launches/Nxe-orange-slice-prospects-that-already-want-to-buy",
        "votes": 39,
        "created_at": "2025-07-14T16:08:25.761Z"
      }
    ]
  },
  {
    "id": 30645,
    "name": "Panels",
    "slug": "panels",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f6701ac45e2897f58f58412507e74dbdbfa60235.png",
    "website": "https://www.usepanels.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Panels is an audio data platform that delivers high-quality speech datasets from vetted, diverse contributors to power training and evaluation of foundational voice models.",
    "one_liner": "Audio Data for AI Labs",
    "team_size": 1,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1755625983,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2025",
    "status": "Active",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/panels",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/panels.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/panelsinc/",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f6701ac45e2897f58f58412507e74dbdbfa60235.png",
    "app_video_url": null,
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    "primary_partner": {
      "name": "Tyler Bosmeny",
      "url": "https://www.ycombinator.com/people/tyler-bosmeny"
    },
    "founders": [
      {
        "user_id": 1219845,
        "full_name": "Aaron Wenk",
        "title": "Founder/CEO",
        "founder_bio": "CEO @ Panels. Princeton ORFE. World Champion Rower. 2x National Champion Cyclist.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/aaron-wenk",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f30138bb50c149cc0c6b4838ae28f0736d591bb5.jpg"
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    "jobs": [
      {
        "id": 97234,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/panels/jobs/ZxF3rjn-founding-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $200K",
        "equity_range": "0.50% - 1.50%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 93156,
        "title": "Panels: Audio Data for AI Labs",
        "tagline": "We power voice AI with high-quality audio data.",
        "body": "Hi!\n\nWe’re Aaron and Jason, and we’re building Panels.\n\n**TL;DR** — Panels builds diverse, high-quality conversational audio datasets for training Voice AI models. If you or someone you know is working on voice and needs audio data, we’d love to talk!\n\nhttps://www.youtube.com/watch?v=auANpScmgls\n\n**Our Story**\n\nAaron and Jason met at Princeton University where they both studied Operations Research and Financial Engineering.\n\n* Aaron is a 1x world champion and 5x national champion rower. After leaving rowing, Aaron became a 2x national champion in cycling, racing on a professional team against former Tour de France winners.\n* Jason previously helped build and grow startups to millions of users and worked on the data team at Amazon. He also taught NLP at Princeton.\n\n**The problem**\n\nVoice AI is exploding: in the past three YC batches, 60+ companies have depended on voice models. But voice models live or die on the quality of their training data.\n\nLabs need datasets that reflect:\n\n* Languages (global coverage, not just English)\n* Accents (real-world variety)\n* Emotions & expressiveness (not monotone samples)\n* Demographics (ages, genders, cultural nuance)\n\nRight now, most labs struggle to source enough realistic, diverse, high-quality conversational audio.\n\n**Our solution**\n\nPanels delivers exactly that.\n\n* We have a network of 10,000+ vetted voice contributors\n* Coverage across 20+ languages and 100+ countries\n* Expressive, conversational audio datasets designed for training state-of-the-art voice models.\n\nThis makes Panels the reliable data provider for the labs building the future of Voice AI.\n\n**Who this is for**\n\n* Voice labs scaling foundational models\n* Research institutions working on speech, linguistics, and AI\n* Conversational AI startups wanting to finetune their agents\n\n**Our ask**\n\nIf you (or someone you know) is building in voice and needs high-quality audio data, we’d love to talk.\n\nEmail us at [📩founders@usepanels.com](mailto:%F0%9F%93%A9founders@usepanels.com)  or ☎️[Book a call](https://cal.com/aaron-wenk/30min)\n\n![uploaded image](/media/?type=post&id=93156&key=user_uploads/1219845/a7f9773c-5a31-4132-b481-bbfa0ddb1f68)\n\n",
        "url": "https://www.ycombinator.com/launches/OEW-panels-audio-data-for-ai-labs",
        "votes": 21,
        "created_at": "2025-08-19T19:35:10.536Z"
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    "id": 30646,
    "name": "Humwork",
    "slug": "humwork",
    "former_names": [
      "Qualify.bot"
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    "website": "https://humwork.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Humwork lets AI agents chat with human experts in real-time. When AI agents like Claude Code or OpenClaw hit a wall, Humwork's MCP server connects them to a verified domain expert in under 30 seconds. Our experts include senior engineers, lawyers, marketers, designers, and more.",
    "one_liner": "Human experts as API for AI Agents",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1753843448,
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    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
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    "regions": [
      "United States of America",
      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/humwork",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/humwork.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/humwork",
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    "primary_partner": {
      "name": "Tyler Bosmeny",
      "url": "https://www.ycombinator.com/people/tyler-bosmeny"
    },
    "founders": [
      {
        "user_id": 107538,
        "full_name": "Yash Goenka",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder & CEO of Humwork, where AI agents hire human knowledge workers. Prev AI engineer and 2x founder. Patent holder for graphene supercapacitor manufacturing. Built first LLM startup in 2021. UC Berkeley grad.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/yashvg",
        "x_url": "https://x.com/theyashgoenka",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fb0ec215f5f41f89f32b38224f0258ef27750634.jpg"
      },
      {
        "user_id": 1524523,
        "full_name": "Rohan Datta",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder & CTO of Humwork, where AI agents chat with human experts in realtime. Prev. data scientist at MicroGrid Labs and research at UC Berkeley. BS & MS from UC Berkeley.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/rohan-datta-2500",
        "x_url": "https://x.com/OneRohanDatta",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0d45663b6d125d757825d57e7e750a2d7e2aea6b.jpg"
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    ],
    "jobs": [
      {
        "id": 94387,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/humwork/jobs/9V8MtEV-founding-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$90K - $140K",
        "equity_range": "2.50% - 5.00%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": [
          "PostgreSQL",
          "Python",
          "React Native",
          "Next.js",
          "LLMs",
          "AI Agents"
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    "news": [],
    "launches": [
      {
        "id": 99775,
        "title": "Humwork - Connect AI agents with human experts in 30 seconds",
        "tagline": "When AI agents hit a wall, Humwork connects them to a verified expert in real-time",
        "body": "Hey everyone [👋](https://emojipedia.org/waving-hand)\\\n\\\nWe’re [Yash](https://www.linkedin.com/in/yashvg/) and [Rohan](https://www.linkedin.com/in/rohan-datta-2500/), co-founders of [Humwork](https://humwork.ai/).\n\n### **TL;DR:**\n\nHumwork is the real-time marketplace where AI agents call verified human experts when they get stuck. Add Humwork to any MCP-compatible agent, and when your coding agent, marketing agent, or research agent hits a wall, it gets connected to the right expert in under 30 seconds.\\\n\\\n<https://www.youtube.com/watch?v=Bqw_qP_jubA>\n\n\\\nHere’s the strange but true version of what we’re building: **AI agents will pay humans to chat with them.**\\\n\\\nThat sounds futuristic, but the need is already here. Anyone using tools like Claude Code, Lovable, or OpenClaw has seen the same failure mode. The agent gets 80% of the way there, then loops on the same bug, makes the same bad architectural guess five times, hallucinates an important legal nuance, misses the brand judgment call, or quietly produces something that looks right but is subtly wrong. If you’re not an expert yourself, you usually can’t even tell exactly where it went off the rails.\\\n\\\n**That is the gap Humwork fills.**\\\n\\\nWhen an agent gets stuck, it calls Humwork through MCP. We route it to the right verified expert in real time — a senior engineer, lawyer, marketer, designer, scientist, or other domain specialist — and the expert talks directly to the agent, not to the user. The answer gets pushed back into the agent’s context, and the work continues without the user leaving their workflow.\\\n\\\nIn practice, this means a coding agent stuck in a debugging loop can escalate to a senior engineer. A legal agent unsure whether a clause will actually hold up can escalate to a lawyer. A marketing agent that produced something polished but generic can escalate to someone with real taste and positioning judgment. Instead of failing silently or asking the user to rescue it, the agent gets expert help on demand.\\\n\\\nDevelopers and vibe coders hit this problem every day. A problem that a strong engineer can diagnose in a few minutes can send an agent into a 45-minute death spiral. And for non-technical builders, it’s even worse: the AI makes a mistake, but they don’t know enough to tell it how to recover. Their project stalls, not because the AI was useless, but because it needed one moment of human expertise.\\\n\\\n**Humwork gives AI agents a way to ask for expert help.**\n\nOur view is that this is where AI is going across all knowledge work. AI will do most of the execution, but humans will still sit at the edge for the hard decisions: architecture, compliance, judgment, taste, tradeoffs, and exceptions. Waymo has remote driver assistance for edge cases. We’re building the equivalent for AI agents.\n\nHumwork is live today. You can add one MCP server and give your agent an escalation path to verified experts in under a minute.\n\n### 💬 **Our Ask**\n\nIf you’re building with AI agents, try Humwork at [**humwork.ai**](http://humwork.ai).\n\nIf you’re building an AI agent product or running internal agents at your company, we’d love to talk about integrating Humwork as your human escalation layer.\n\nAnd if you’re an exceptional engineer, lawyer, marketer, designer, doctor, or domain expert who wants to get paid to help AI systems, we’d love to have you join the network.\n\nYou can reach us at [**founders@humwork.ai**](mailto:founders@humwork.ai) .\n\n### 👬 **The Team**\n\nYash and Rohan have been friends for 16 years, and both went to UC Berkeley for college.\\\n\\\nYash (CEO) was previously and AI engineer and is a 2x founder. He’s a patent holder for graphene supercapacitor manufacturing and built his first LLM startup in 2021. He studied Data Science at UC Berkeley.\\\n\\\nRohan (CTO) has worked as Data Scientist at Microgrid Labs and did drone imagine research at Berkeley. He’s previously built an AI voice calling platform that automated over 1 million minutes of phone calls. Rohan got his BS and MS in Civil Engineering from UC Berkeley.\n\n![uploaded image](/media/?type=post&id=99775&key=user_uploads/107538/63983a65-c01f-4094-bbd7-67b2d0542db6)\n\n![uploaded image](/media/?type=post&id=99775&key=user_uploads/107538/91c33ffc-ab44-44bf-b1d3-9bd756a08739)\n\n",
        "url": "https://www.ycombinator.com/launches/PxH-humwork-connect-ai-agents-with-human-experts-in-30-seconds",
        "votes": 25,
        "created_at": "2026-04-15T15:01:29.397Z"
      }
    ]
  },
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    "id": 30650,
    "name": "Imprezia",
    "slug": "imprezia",
    "former_names": [
      "AdImpress"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/dcf816765d47aaccb81f4306b7dcf298ccb8337e.png",
    "website": "https://imprezia.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "The first advertising infrastructure designed specifically for AI apps. Seamlessly integrate contextual brands & products that enhance user experience while generating revenue to pay the inference bills.",
    "one_liner": "The World's First AI Ad Network.",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1753378295,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2025",
    "status": "Active",
    "industries": [
      "B2B",
      "Infrastructure"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": [
      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "Imprezia will power and fund the first billion+ user AI applications through our AI Native Ad Network."
      }
    ],
    "url": "https://www.ycombinator.com/companies/imprezia",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/imprezia.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/imprezia-ai/",
    "x_url": "https://x.com/ImpreziaAI",
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    "cb_url": null,
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/dcf816765d47aaccb81f4306b7dcf298ccb8337e.png",
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    "primary_partner": {
      "name": "Tyler Bosmeny",
      "url": "https://www.ycombinator.com/people/tyler-bosmeny"
    },
    "founders": [
      {
        "user_id": 1228775,
        "full_name": "Bishesh Khadka",
        "title": "Founder/CEO",
        "founder_bio": "Since graduating MIT CS in 2018, I've led a team routing the $1B+ ARR ad pricing system at Amazon Ads, and I've launched several $10M+ ARR LLM ad optimizations at Meta Ads that generated 10B+ ad impressions.\n\n50% of search volume will be eaten up by AI interfaces by 2028. I'm on a mission to build the monetization infrastructure that will power and fund the next age of 1B+ user AI apps, and be the leader of the projected $1.3T AI ad market.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/bisheshkhadka",
        "x_url": "https://x.com/BisheshK",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fd4d84220f7f71be0311212b70f2a59324de4d0e.jpg"
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    ],
    "jobs": [
      {
        "id": 100379,
        "title": "Generalist Engineer, AI Advertising Infra",
        "url": "https://www.ycombinator.com/companies/imprezia/jobs/iyluJ8y-generalist-engineer-ai-advertising-infra",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$150K - $250K",
        "equity_range": "0.25% - 1.75%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 92592,
        "title": "🚀 Imprezia - World’s First AI Ad Network",
        "tagline": "We help brands get mentioned in AI responses – and we help developers get paid.",
        "body": "# **TL;DR:** MIT & Ex-Meta founder building the first ad network for AI chatbots. Brands pay to get mentioned and linked inside AI responses, and developers can monetize their AI apps.\n\n# **The Problem: Subscription only gets you so far…**\n\nMost AI apps today try to monetize with subscriptions, but just can’t find enough users who are willing to pay. \n\n→ **Inference bills are crushing** - AI compute costs 10-30x more than traditional apps\\\n→ **Subscription gates kill growth** - Only 3% of users typically convert\n\n→ **Can't scale to billions** - Free tiers = bankruptcy\\\n\\\nMeanwhile, Brands are dying to get mentioned organically inside of AI chat results.\n\nIt’s time for a new model.\n\n# **Our solution:** Imprezia brings contextual advertising directly into AI conversations.\n\n\\\nhttps://www.youtube.com/watch?v=wI7k7Byftks\n\n### **How It Works:**\n\n1. **One-line integration** - Drop in our SDK with an API key\n2. **Contextual ads** - We subtly include relevant brand mentions in your AI chat\n3. **Revenue sharing** - Developers get paid per impression or per click\n\n![uploaded image](/media/?type=post&id=92592&key=user_uploads/1228775/60ee6f8f-6eaf-40c1-b13f-72ac9e3b8aa6)\n\n# \n\n\\*\\*The Magic:\\*\\*\\\nIf a user asks about luxury stays in Tokyo, Imprezia might insert: \"Park Hyatt Tokyo” as an in line mention.\n\n![uploaded image](/media/?type=post&id=92592&key=user_uploads/1228775/2ff7e8cf-da9c-4074-bf5f-b6d9ee47349e)\n\n\\\n\\*\\*Brand Portal:\\*\\*\\\nAdvertisers can create campaigns and launch across our network of AI apps. \n\n![uploaded image](/media/?type=post&id=92592&key=user_uploads/1228775/3678028f-92fe-4e9c-8620-4dc9e45af275)\n\n**Win, Win, Win:**\n\n**For developers:** Monetize without subscriptions - earn premium CPMs\\\n**For users:** Valuable offers instead of noisy spam, within a free tier!\\\n**For brands:** Direct access to high-intent AI audiences\n\nIf you’re building an AI app or a brand looking to reach users within AI:\\\n✅ **Apply to get early access:** https://start.imprezia.ai \\\n💡 **Questions?** Please reach out to our founder, [bishesh@imprezia.ai](mailto:bishesh@imprezia.ai)\\\n\\\n**Team**:\\\nSince graduating MIT, [Bishesh](https://www.linkedin.com/in/bisheshkhadka/) has scaled billion dollar ad management & optimization systems Amazon ads and Meta.\n\n![uploaded image](/media/?type=post&id=92592&key=user_uploads/1228775/e2cfeb97-cf32-40af-a9bd-b0b18c336f32)\n\n",
        "url": "https://www.ycombinator.com/launches/O5Q-imprezia-world-s-first-ai-ad-network",
        "votes": 93,
        "created_at": "2025-07-30T23:49:33.889Z"
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  },
  {
    "id": 30652,
    "name": "OnDeck AI",
    "slug": "ondeck-ai",
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9fb6ad4cbd4cdfac49ff1b40404d7053d5789883.png",
    "website": "https://www.ondeckai.com",
    "all_locations": "Vancouver, BC, Canada",
    "long_description": "OnDeck is the infrastructure layer that makes Vision Language Models accessible and scalable for enterprise. Our model, Perception-0, let organizations instantly find any object, behavior or event, in any footage, without needing to train a model or collect any training data.\r\n\r\nThe Pain: Creating vision models usually takes months: collecting training data, training, then deployment.  Worse yet: \r\n+ it’s often impossible to get enough data for a specific task, and \r\n+ even the best cv models struggle to generalize across diverse camera setups, workflows and environments. \r\n\r\nTo overcome these blockers, we bet early on the power of VLMs and built a vision engine that can generalize across any task and doesn’t need any training data. We published a NeurIPS workshop paper showing our new methods with VLMs beat traditional CV even at niche tasks. Now, our model Perception-0 beats the best VLMs including Gemini at long video understanding.\r\n\r\nOur current customers include:\r\n- National Defense Organizations\r\n- Robotics Research\r\n- Security cameras\r\n- Behaviour analysis for port monitoring\r\n- Off-shore oil & gas monitoring",
    "one_liner": "Analyze any footage, without training a model",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B -> Analytics",
    "launched_at": 1755488960,
    "tags": [
      "Machine Learning",
      "SaaS",
      "Computer Vision",
      "B2B",
      "Video"
    ],
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2025",
    "status": "Active",
    "industries": [
      "B2B",
      "Analytics"
    ],
    "regions": [
      "Canada",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/ondeck-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/ondeck-ai.json",
    "year_founded": 2025,
    "city": "Vancouver",
    "country": "CA",
    "linkedin_url": "https://www.linkedin.com/company/ondeckai/",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/9fb6ad4cbd4cdfac49ff1b40404d7053d5789883.png",
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    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
    },
    "founders": [
      {
        "user_id": 1161477,
        "full_name": "Alexander Dungate",
        "title": "Founder/CEO",
        "founder_bio": "Solving vision @ OnDeck. BSc in CS + biology, National Geographic Explorer.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/alexander-dungate/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2cb92fb1e2f11f9bd040c8681d3875328c486091.jpg"
      },
      {
        "user_id": 1148628,
        "full_name": "Sepand Dyanatkar",
        "title": "Founder/CTO",
        "founder_bio": "Solving vision.  Masters @ Cambridge in multi-agent RL. Research in swarm robotics for space, and built software at Amazon and the European Space Agency. ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/sepandd",
        "x_url": "https://x.com/SepandD",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9b396c35a4599135d95d8b377d1bace2b0ca3453.jpg"
      }
    ],
    "jobs": [
      {
        "id": 81971,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/ondeck-ai/jobs/IQTL9o5-founding-engineer",
        "location": "Vancouver, BC, CA / Vancouver, British Columbia, CA",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$100K - $200K CAD",
        "equity_range": "0.10% - 1.50%",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
        "skills": []
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    "news": [],
    "launches": [
      {
        "id": 93172,
        "title": "OnDeck AI - Analyze any video, without training a model.",
        "tagline": "We let organizations instantly find any object, behavior or event, in any footage, without needing to train a model or collect any training data.",
        "body": "Hey everyone 👋\n\nWe’re Alexander and Sepand, cofounders of [OnDeck AI](https://ondeckai.com).\n\n### TL;DR\n\nOnDeck lets you analyze any video, without training a model. Instantly find any event, behaviour, or object without needing any training data.\n\n### Ask:\n\n**Do you know anyone who needs to analyze tons of video or imagery? Please introduce us!**  [alexander@ondeck-ai.com](mailto:alexander@ondeck-ai.com)\n\n\\[[https://youtu.be/MafiM94IkV8\\\\\\]](https://youtu.be/MafiM94IkV8%5C%5D)\n\n### The Pain:\n\nCreating vision models can take months of engineering time: collecting training data, training, then deployment.  Worse yet: \n\n* it’s often impossible to get enough data for a specific task, and \n* even the best cv models struggle to generalize across diverse camera setups, workflows and environments.\n\n \n\n### Our Magic:\n\nTo overcome these blockers, we bet early on the power of VLMs and built a vision engine that can generalize across any task and doesn’t need any training data. We **published a NeurIPS workshop paper** showing our new methods with VLMs beat traditional CV even at niche tasks.\n\nWhy this is good:\n\n* We never train on customer data, unlocking sensitive use cases.\n* Deploy instantly and skip months of R&D.\n* Identify things that have never been seen before.\n* Unlike traditional cv, OnDeck can **_understand_** qualitative behaviour and sequences of events.\n\nThis summer we’ve analyzed thousands of hours of footage across:\n\n* Fleets of Autonomous Surface Vessels \n* Robotics Research\n* Security cameras \n* Behaviour analysis for port monitoring\n* Off-shore oil & gas monitoring\n\n### The Team:\n\nSepand (CTO) has a Master in ML from Cambridge and worked at the European Space Agency, Amazon, and swarm robotics research labs. We both studied cs in university together and we’ve been best friends since grade 6. We originally started OnDeck to automate fisheries monitoring (counting fish in video 🐠). We generated six-figure revenue before pivoting in January.\n\n![uploaded image](/media/?type=post&id=93172&key=user_uploads/1161477/796316a1-6848-4ece-a2b3-cc5e56514825)\n\n**Ask: Do you know anyone with loads of video or imagery to analyze? Please introduce us!\\\n\\\nPing us anytime:** [alexander@ondeck-ai.com](mailto:alexander@ondeck-ai.com) / [ondeckai.com](http://ondeck-ai.com) / [Linkedin](https://www.linkedin.com/company/ondeckai/) / [Twitter](https://x.com/ondeckai)",
        "url": "https://www.ycombinator.com/launches/OEm-ondeck-ai-analyze-any-video-without-training-a-model",
        "votes": 34,
        "created_at": "2025-08-20T01:13:05.704Z"
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    "name": "DeepGrove",
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    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/deepgrove.json",
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        "full_name": "Edward Zhang",
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        "founder_bio": "Former JHU/W&M. ",
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        "title": "ML Technical Staff",
        "url": "https://www.ycombinator.com/companies/deepgrove/jobs/mGxxTIq-ml-technical-staff",
        "location": "San Francisco, CA, US",
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    "name": "Proliferate",
    "slug": "proliferate",
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e9eb3892f113b924e1c5b9bdf6d120ba559a45ff.png",
    "website": "https://proliferate.com?utm_source=yc&utm_medium=referral&utm_campaign=profile",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We're a dense, small team in SF building the open source platform for working with agents.",
    "one_liner": "Do your life's work with agents",
    "team_size": null,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1749673205,
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      "B2B",
      "AI"
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2025",
    "status": "Active",
    "industries": [
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      "United States of America",
      "America / Canada"
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    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/107275953",
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      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
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    "founders": [
      {
        "user_id": 725067,
        "full_name": "Pablo Hansen",
        "title": "Founder",
        "founder_bio": "I finished my master's degree in AI at 19 and was then hire #1 at Onyx (YC W24) for a year before starting Proliferate (fka. Keystone).",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/pablo-hansen",
        "x_url": "https://x.com/thepablohansen",
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    "jobs": [
      {
        "id": 105103,
        "title": "Founding Product Engineer",
        "url": "https://www.ycombinator.com/companies/proliferate/jobs/OgpCKYJ-founding-product-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $300K",
        "equity_range": "0.30% - 1.50%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": []
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    "news": [
      {
        "title": "The 9 most sought-after startups from YC Demo Day | TechCrunch",
        "url": "https://techcrunch.com/2025/09/15/the-9-most-sought-after-startups-from-yc-demo-day/",
        "date": "Sep 15, 2025"
      }
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    "launches": [
      {
        "id": 98080,
        "title": "Proliferate: the open source company coding agent",
        "tagline": "Build yourself an AI coworker that actually takes work off your plate",
        "body": "**TL;DR:** Local coding agents can't do real end-to-end work at your company. Proliferate is the open-source, self-hostable platform for building company-specific background agents that can. Agents get their own sandboxes with secure access to your internal services, trigger from any event, and expose a live, multiplayer preview so your team can verify the work together. MIT licensed.\n\n**Star the repo:** <https://github.com/proliferate-ai/proliferate>\n\n**Get started self-hosting:** <https://docs.proliferate.com/>\n\n**Sign up for self-serve waitlist:** <https://proliferate.com/waitlist>\n\n**The Problem**\n\nCoding agents today hit a wall the second they need to do real work. Fixing an actual bug means querying your staging database, reading internal Datadog logs, hitting proprietary APIs. You can't hand those keys to a generic cloud SaaS agent.\n\nSo you run agents locally. But that ties up your machine, forces you to babysit a terminal, and traps all the context on your laptop where nobody else can see it.\n\nThe most forward-looking engineering orgs- Stripe, Ramp, coinbase- spent months building custom infrastructure to solve this. Some are now merging 50+% of their PRs with agents.\n\nProliferate open-sources that infrastructure so every team can do the same.\n\n**What teams use Proliferate for:**\n\n* **On-call triage:** Sentry exception fires → agent reproduces the issue in a cloud sandbox → writes a fix → shares a live preview link in Slack for the team to verify.\n* **Flaky test sweeps:** Cron job runs overnight → agent isolates flaky CI tests by running them 1,000x → PR is waiting by morning.\n* **Mass migrations:** Bump React versions or internal API contracts across 50 microservices and fix the resulting breaking changes- automatically.\n* **Team verification:** Agent gets a feature 80% done. Instead of reading the diff, the team clicks a live preview URL. A developer jumps into the shared terminal to fix the last failing test. Feature is merged.\n\n**Demo: [https://youtu.be/H84HrOJx4QM](https://youtu.be/H84HrOJx4QM)**\n\n**What makes it different**\n\nEvery agent gets its own sandbox with your Docker containers running, secure access to your internal services via our action catalog, and can be configured to respond to any trigger. Your code and data stay in your control- fully self-hostable, MIT licensed.\n\nAnother large difference comes with how your team interacts with the work. Reading AI-generated code is tedious. So every session produces a live UR. Sessions are multiplayer. Anyone on the team can jump in, check logs, or steer the agent in real-time.\n\n**Our ask:** ⭐ Star the repo- we just open-sourced it. <https://github.com/proliferate-ai/proliferate>\n\nIf you're tired of handholding local agents and want to move them to the background with real infrastructure access, reach out. We're working closely with a handful of teams to help improve their engineering velocity and adoption of AI. [Book a demo](https://cal.com/team/proliferate/demo) or email [pablo@proliferate.com](mailto:pablo@proliferate.com).",
        "url": "https://www.ycombinator.com/launches/PVw-proliferate-the-open-source-company-coding-agent",
        "votes": 31,
        "created_at": "2026-02-23T14:58:55.138Z"
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    "name": "DeepAware AI (Robotics Center of Silicon Valley)",
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    "website": "https://roboticscenter.ai/",
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    "long_description": "DeepAware (Robotics Center of Silicon Valley, https://roboticscenter.ai/) is the fastest way for enterprises and researchers to get robots and robotics parts in the US — 72-hour delivery or Bay Area pickup.\r\n\r\nBeyond hardware, we help teams collect teleoperation data, build reinforcement learning environments, and deploy robots into production. Customers include AI labs, industrial operations, research teams, and event producers.",
    "one_liner": "Robots, parts & RL envs & evals - delivered in 48 hrs / pickup in SF.",
    "team_size": 4,
    "industry": "Industrials",
    "subindustry": "Industrials -> Manufacturing and Robotics",
    "launched_at": 1753029704,
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    "country": "US",
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    "x_url": "https://x.com/RoboticsCtr",
    "fb_url": "https://www.facebook.com/roboticscenterai",
    "cb_url": "https://www.crunchbase.com/organization/deepaware-ai",
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      "name": "Ankit Gupta",
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        "full_name": "Jerry Huang",
        "title": "Founder/CEO",
        "founder_bio": "Building Robotics Center of Silicon Valley https://roboticscenter.ai/",
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        "full_name": "Stela Tong",
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        "title": "Business Development Associate ",
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        "title": "Operations Associate",
        "url": "https://www.ycombinator.com/companies/deepaware-ai-robotics-center-of-silicon-valley/jobs/iyyRVWT-operations-associate",
        "location": "San Francisco, CA, US",
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        "title": "Business Development Intern",
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        "location": "San Francisco, CA, US",
        "type": "Internship",
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        "title": "Robotics Engineer Intern",
        "url": "https://www.ycombinator.com/companies/deepaware-ai-robotics-center-of-silicon-valley/jobs/extm5EN-robotics-engineer-intern",
        "location": "San Francisco, CA, US",
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        "url": "https://www.ycombinator.com/companies/deepaware-ai-robotics-center-of-silicon-valley/jobs/o5YcLop-operations-intern",
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        "title": "Marketing Intern",
        "url": "https://www.ycombinator.com/companies/deepaware-ai-robotics-center-of-silicon-valley/jobs/PHQdrZy-marketing-intern",
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      {
        "id": 92985,
        "title": "DeepAware - Automation for next-gen AI data centers",
        "tagline": "AI-driven automation that makes any data center as secure, efficient, and adaptive as Google’s or Amazon’s.",
        "body": "## **DeepAware - Automation for next-gen AI data centers**\n\n👋 Hello world! Are you ready to embrace a much more efficient AI infrastructure? Check out [DeepAware](http://deepawareai.com/) / [LinkedIn](https://www.linkedin.com/company/deepaware/):\n\nhttps://youtu.be/mywozPhOAnA\n\nTL;DR\n\n1. DeepAware AI brings Google- and Amazon-level technology to any data center, making them more secure, efficient, and autonomous.\n2. Our reinforcement learning scheduler, real-time market integration, and robotics cut energy waste by up to 30% while ensuring 24/7 uptime.\n\n![uploaded image](/media/?type=post&id=92985&key=user_uploads/2760576/4188b3ad-71bd-4af7-a52d-eac733f67211)\n\n**Problem**\n\n1. With AI workloads surging, the data center industry is booming—global capacity is expanding rapidly, and the market is projected to hit **$1 trillion by 2030**\n2. Data centers waste 20–30% of energy due to siloed tooling and manual controls.\n3. Hyperscalers like Google and Amazon solve this with custom AI, but mid-market operators lack access to those technologies.\n\n![uploaded image](/media/?type=post&id=92985&key=user_uploads/2760576/c08c6a9b-22d9-4ffa-830a-c828ce7597a5)\n\n**Solution**\\\nDeepAware brings Google- and Amazon-grade AI controls to any data center:\n\n1. **RL Scheduler** optimizes GPU workload placement for power, performance, and cost.\n2. **Real-Time Market Integration** shifts workloads to low-price windows and supports demand-response programs.\n3. **Unified Dashboard** for one-click policy tuning, automated alerts, and “what-if” scenario testing.\n4. **Autonomous Robotics (coming soon)** for remote “robot hand” inspections, cable swaps, and maintenance—enabling 24/7 physical operations with minimal on-site staff.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeWFdq7APkR0uqewAgWtXeKANKr7EDV1KIz0diikWoGKDlTmA6bqIP_-8vNP0V4Fp9d0il-oEnk8u4uCkO_usPJd4xVHtCOifCEAgMO4muD-Dh7s_sFDGyNnR8YeClKD71vLBoOeA?key=Ok6o8HSu--upaY5wBSe41Q)\n\n**Our Team:** \n\n1. We are both second-time founders. We spent 3 years together building our first company providing second-level energy optimization for dozens of factory.\n\n**Traction:**\n\n1. **6-digit agreement** with a major 30 MW+ data center operator to use our system.\n2. **Simulation results** show 15% energy savings.\n3. **Industry validated** through Green AI Summits at Harvard with industry leaders from Oracle and Meta AI.\n\n**Ask:\\\nWe’re looking for:**\n\n1. **Data center operators** (and people in the AI infra sector) interested in piloting AI-driven optimization.\n2. **AI/ML researchers** tackling real-world control problems.\n\nGot feedback or want to pilot? Reach out: 👉 [jerry@deepawareai.com](mailto:jerry@deepawareai.com) or [LinkedIn](https://www.linkedin.com/in/jerryh01/) visit http://deepawareai.com/.\n\n![uploaded image](/media/?type=post&id=92985&key=user_uploads/2760576/03fe5788-d736-48c7-83f3-98bf11b31fca)\n\n",
        "url": "https://www.ycombinator.com/launches/OBl-deepaware-automation-for-next-gen-ai-data-centers",
        "votes": 15,
        "created_at": "2025-08-14T01:42:09.062Z"
      }
    ]
  },
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    "id": 30663,
    "name": "Tesora",
    "slug": "tesora",
    "former_names": [
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        "body": "**TL;DR: [Pangolin](https://digpangolin.com) is an [open-source](https://github.com/fosrl/pangolin) cloud and self-hostable alternative to Cloudflare Tunnels, Zscaler ZPA, and Ngrok. Pangolin provides a simple way to securely expose applications on private networks with identity-aware access control and high availability.**\n\nWe’ve seen incredible early traction since we launched 5 months ago: **12,600+ GitHub stars, 140,000+ installs, 2,700+ Discord members**. \n\nhttps://youtu.be/0nv91PgCm9M\n\n\"Pangolin isn't just a fantastically easy-to-configure VPN and reverse proxy; it's a revelation in self-hosting simplicity.\" XDA Developers\n\n**The problem:**\n\nProviding users with secure access to internal tools and infrastructure is cumbersome for both end users and administrators. They're forced to manage complex VPN clients, servers, and network configurations that create friction and operational overhead. Traditional and mesh VPN approaches require layered ACL management to control which users can access specific resources, turning simple access requests into complex network engineering problems.\n\n**Our solution:**\n\nDrop in the Pangolin connector in your network, and:\n\n* **Expose anything to the internet:** Instantly create a secure tunnel with your domain and SSL to internal dashboards like Grafana, or any other services on your private network and access via web browsers.\n* **Manage access control with ease:** Grant access to your resources with user and role-based permissions, PIN codes, temporary share links, or email OTPs. Bring your existing users by integrating an external identity provider.\n* **Own your infrastructure:** Self-host your own Pangolin Nodes, so data flows through your servers, and our cloud will handle coordination and failover for out-of-the-box high availability.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXfMGfOAnChfvZ2vFva0IbL-s3dj1O50IP8cfgGf7h9IDz3ViH_tHbtHEwr_bdecGPerQPY-HSRMtoRLmJew9IlaQqpQQY_1JJBluOAEKCqsWjvusZMgy_9Y5FPVvjo68nGNaZ0Uig?key=2GXukewhPJ8smnttAaub3w)\n\n\"A self-hosted version of Cloudflare Tunnels on your terms. By your terms, I mean on the infrastructure of your choice.\" Lawrence Systems\n\n**Deployment options:**\n\n* **Enterprise:** Self-host the entire system on-premises with complete control over all system components.\n* **Hybrid:** Self-host Pangolin Nodes on internal infrastructure while leveraging our cloud service for automatic failover coordination.\n* **Cloud:** Fully managed service where organizations only run network connectors to expose resources.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXc8cH83Sxqj5M57XuqQm_sofqW-Qn1sfTvTEsaTg4xYVAfRh_33XNMI8QDJrqibWqIQNVLLFHBob1vASk5ZnaX8KF5nZfY2eXYOwMp-n9UzOzyEHQUiocK89KT8izCeFG1CaEJ5xA?key=2GXukewhPJ8smnttAaub3w)\n\n**Get started:**\n\n* Website:[ https://digpangolin.com](https://digpangolin.com)\n* GitHub: https://github.com/fosrl/pangolin\n\n\"Its streamlined deployment has left janky WireGuard configurations and Cloudflare tunnels in its dust.\" [selfh.st](http://selfh.st)\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXdXJ0wOsKzIrKFRWntnI4mgQRM3dcsgCMe7-t3poZP4A56J7SxiqqTdPU85bzNvvTXCO5Nuu7hRM2fXyvHrAbn55MzAd2N0J374OuDMoY8PdFgfa9jg9f2eRBgYzQqfCl-Srx3t?key=2GXukewhPJ8smnttAaub3w)\n\nWe are Owen and Milo Schwartz (brothers) who previously worked together as founding engineers at a successful smart mobility startup, working on connectivity and automation solutions for public infrastructure. We are passionate about building the next generation of simple networking tools.\n\n“I’m addicted to Pangolin” [u/ParadoxHollow](https://www.reddit.com/r/selfhosted/comments/1kqrwev/im_addicted_to_pangolin/?utm_source=share&utm_medium=web3x&utm_name=web3xcss&utm_term=1&utm_content=share_button)\n\n**The ask:**\n\nWe’d love for the YC community to try out [Pangolin Cloud](https://pangolin.fossorial.io/auth/signup) and give us your feedback!\n\nWe are also looking for any warm intros to people who might be interested in the product - particularly businesses with on prem applications or field equipment in the IoT space.\n\n**Contact:**\n\n[founders@fossorial.io](mailto:founders@fossorial.io)",
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        "title": "CareSwift - AI Copilot for Ambulance Agencies",
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        "body": "**The problem we’re solving**\n\nAmbulance crews spend far too much time on documentation, which would be better spent caring for patients. Currently, EMTs have to write a 300-word essay and fill out 100+ checkboxes for each incident report. \n\nIf you lead an EMS agency, you know EMTs and paramedics dedicate hours each shift filling out repetitive reports, double-checking compliance requirements, and manually correcting documentation errors. These tasks delay patient care, tie up critical resources, and often lead to costly insurance claim denials due to incomplete or inaccurate reporting.\n\nCareSwift enhances provider capabilities by significantly speeding up documentation, helping units return to service faster, and boosting insurance reimbursements by ensuring reports are consistently accurate and compliant.\\\n\\\nHere’s our video [showcasing CareSwift!](https://www.youtube.com/watch?v=nOIEp8BtDcA)\n\n**How CareSwift works**\n\n* **Real-Time AI Documentation**: Our plugin integrates seamlessly with existing major ePCR systems. Providers simply speak, and our system speeds up report writing by auto-populating fields and ensuring that narratives meet compliance standards tailored to your agency.\n* **Automated Compliance Assistance**: CareSwift acts as a real-time QA/QI agent within the ePCR, proactively identifying compliance gaps and documentation errors to ensure providers document accurately and consistently during every call\n\n**Why is this the future**\n\nEMS agencies increasingly face pressure to manage increased call volume, stricter compliance requirements, and tighter budgets. Providers need intelligent support integrated directly into their existing workflows to effectively navigate these challenges.\n\nCareSwift represents the first step toward building a fully unified EMS system. By focusing on real-time documentation assistance and seamless ePCR integration today, we're laying the foundation for the future of efficient, accurate, and compliant EMS operations.\\\n**Our Team**\n\nOur founding team combines the frontline experience of our CEO, Brian, as an EMT in New York City’s 911 system; the technical expertise of our CTO, Jonathan, in scaling secure, high-load applications; and the operational excellence of our COO, John Paul, in automating complex workflows and driving enterprise sales for rapid revenue growth.\n\n**How to get started?**\n\nCareSwift supports EMS operations of all sizes, from small volunteer squads to large agencies.\n\nDiscover how CareSwift can enhance your team's capabilities, reduce documentation burdens, and ensure compliance.\n\nBook a demo here → [careswift.com/demo](https://www.careswift.com/demo)",
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        "full_name": "Devraj Gopal",
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        "founder_bio": "Co-founder & CEO at Wedge. Ex-Stanford AI. Worked on health AI at Stanford & Hopkins Med.\n ",
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        "title": "Founder/CTO",
        "founder_bio": "Co-founder & CTO at Wedge. Ex-Berkeley CS; built out ML models and fine-tuned LLMs at Nvidia, Rivian, SoFi, Intel.",
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        "id": 92625,
        "title": "Wedge: Palantir for Health AI Agents",
        "tagline": "Wedge deploys, governs, and scales AI agents across healthcare organizations",
        "body": "👋 Hey everyone, this is [Dev](https://www.linkedin.com/in/dev-gopal/) and [Steven](https://www.linkedin.com/in/steven-segawa/). We’re the co-founders of[ ](http://www.tasker.ai/)Wedge 👋\n\n**TLDR:** [Wedge](https://wedge.health) helps hesitant hospitals, health plans, and multi-physician organizations finally start using AI. We are the first platform to forward-deploy engineers inside health institutions to build custom agentic AI solutions.\n\n**Our ask:** We’d love to get introduced with director or c-suite folks at hospitals, especially if they’re currently implementing AI or want to implement AI.\n\n**Contact us:** [founders@wedge.health](mailto:founders@wedge.health)\n\n**Problem:**\n\nThere’s two types of AI being implemented in healthcare:\n\n1. Point Solution AI Vendors\n2. Cheap Outsourced Tech Consultant Solutions\n\nHere’s why they don’t work (and as a result, why you’re not seeing AI in the doctor’s office):\n\n1. The needs and integrations of every healthcare organization look vastly different. Did you know Epic (the #1 dominant EHR vendor) had a technical team dedicated to each hospital they integrated with? To dominate the healthcare industry, you need custom solutions.\n2. Technology consulting firms do offer custom solutions, but their work isn’t built by the best technical talent. We talked to an AI lead at the biggest tech-consulting firm, and they confirmed their solutions are all outsourced. But if the software is even remotely flawed, physicians won’t adopt- especially for AI, the industry needs reliable solutions.\n\n**Solution:**\n\nThat’s where [Wedge](https://wedge.health) comes in: we forward-deploy top engineering talent at each health organization we work with to custom build out the perfect solution for them. Once we’re done, AI products in that health institution are monitored and maintained by us forever.\n\n**Traction:**\n\nWhen the need is great, traction is easy. It normally takes months and years to get contracts with health institutions. We’re piloting at 60+ locations after just one week. Interested in our GTM strategy? Let’s talk.\n\n**Team:**\n\n[Devraj Gopal](https://www.linkedin.com/in/dev-gopal/) (CEO): Ex-Stanford AI. Worked on health AI at Stanford & Hopkins Med.\n\n[Steven Segawa](https://www.linkedin.com/in/steven-segawa/) (CTO): Ex-Berkeley CS + Lead ML Data Scientist at NVIDIA. Ex-Rivian, SoFi, Intel.",
        "url": "https://www.ycombinator.com/launches/O5x-wedge-palantir-for-health-ai-agents",
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        "created_at": "2025-07-31T23:04:19.809Z"
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        "user_id": 2669426,
        "full_name": "Noah Pacik-Nelson",
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        "id": 93355,
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        "url": "https://www.ycombinator.com/companies/bootloop/jobs/ZEkiBte-founding-embedded-engineer",
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        "id": 92063,
        "title": "BootLoop - AI Agent for Firmware & Embedded Software",
        "tagline": "AI that writes, tests, and debugs firmware on real hardware in minutes.",
        "body": "## **TL;DR**\n\nAll modern hardware needs firmware but it’s expensive, time-consuming and bugs in the field can lead to multi-million dollar recalls. BootLoop is building an AI agent to deliver custom firmware, fully tested on your hardware, in minutes not months. Our team built the firmware for SpaceX’s Raptor engine from first fire to flight, made brain-computer interfaces at MIT, and is _embedding_ that experience into our agent.\n\n**Ask:** Are you building hardware or do you know someone who is? Email us at [founders@bootloop.ai](mailto:founders@bootloop.ai) to be added to our pilot program. See below for details.\n\nhttps://www.youtube.com/watch?v=GBI1fkx5Bss\n\n## **❌ The Problem**\n\nAll modern hardware needs firmware, but writing firmware is hard. It’s difficult to debug and tricky to validate and chip datasheets can reach upwards of 3000 pages. On top of that, there’s a shortage of qualified firmware engineers. As hardware gets more complex, the time and cost to write firmware for it goes up exponentially.\n\n**The problems are staggering:**\n\n* The hardware world is **incredibly fractured** - over 65 different major manufacturers, producing over 80,000 unique chips, each of which has different software stacks, different frameworks, and different capabilities\n* Modern hardware requires sophisticated networking stacks, power optimization, and advanced security, driving up complexity\n* Firmware engineers are hard to find - **you can't major in firmware engineering** - and even the most attractive engineering companies take up to **6 months to find a qualified engineer**\n\n## **🤖 Our Solution**\n\nWe’re building an AI agent specifically for firmware and embedded software development, with the context and tooling needed to write low-level code and validate it on hardware in real-time.\n\n**Key capabilities of our Agent:**\n\n* **Deep hardware understanding:** Ingests your documentation, datasheets, schematics, system diagrams, existing codebases, and more…\n* **Hardware interaction:** Talks directly with your boards and test equipment like oscilloscopes, logic analyzers, and hardware debuggers\n* **Real testing:** Validates code on actual hardware or in simulation\n* **Framework expertise:** Writes in your language and style using your preferred embedded frameworks and proprietary libraries\n* **ITAR compliance:** The first ITAR-capable coding agent, opening massive aerospace and defense markets\n\n**Pilot program:** Our team will work with you as forward-deployed engineers on a specific firmware problem. We’ll use our agent internally to deliver aerospace-grade code FAST, with a human validating every line. After the pilot, we’ll deploy your custom version of the BootLoop agent for your future firmware needs.\n\n## **👥 The Team**\n\n**Chris Markus (CTO)** - Former **lead software engineer for SpaceX's Starship booster catch system**. He also built SpaceX’s **Raptor engine firmware from first fire to flight**. Before SpaceX, he was a visiting researcher at MIT Media Lab designing EEG electronics and firmware lead for an FDA-authorized ventilator.\n\n**Noah Pacik-Nelson (CEO)** - Formerly at Accenture’s AI Refinery, he **built agents for Fortune 500 companies**. Prior, he researched neuromorphic computing and ultra-low power edge AI at Accenture Labs. He has **patents and papers across AI adaptation, digital signal processing, and energy harvesting** and was a visiting researcher at the MIT Media Lab, building brain-computer interfaces for ALS patients.\n\n## **🙏 Our Ask**\n\n**If you're building hardware (or know someone who is), we'd love to add you to our pilot program.** Email us at [founders@bootloop.ai](mailto:founders@bootloop.ai) to get on the list.\n\nDuring the pilot, we’ll create your firmware FAST, using the BootLoop agent internally while reviewing every line by hand to ensure it meets our rigorous standards.\n\n**Currently Onboarding:**\n\n* Deep tech companies\n* Aerospace & defense contractors\n* Medical device manufacturers\n* Robotics companies\n* IoT hardware developers\n\n![uploaded image](/media/?type=post&id=92063&key=user_uploads/2669426/4b1f40ab-f41d-4013-bdd5-a557a8faf4a3)\n\n",
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        "created_at": "2025-07-11T14:54:46.832Z"
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        "full_name": "Sayan Bhatia",
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        "url": "https://www.ycombinator.com/companies/kalinda/jobs/mxfirbk-founding-software-engineer",
        "location": "San Francisco, CA, US",
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        "role": "Engineering",
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        "experience": "3+ years",
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        "id": 93158,
        "title": "Kalinda - Deep Research for Class Action Lawyers",
        "tagline": "Kalinda helps class action law firms qualify potential cases in minutes with AI ",
        "body": "**TL;DR:** Kalinda helps class action law firms qualify potential cases in minutes with AI — giving plaintiff law firms the equivalent manpower of thousands of paralegals and legal nurses. \n\nHey YC! We’re [Sayan](https://www.linkedin.com/in/sayanbhatia/) and [Sohil](https://www.linkedin.com/in/sohilbhatia/). We’re brothers and the co-founders of Kalinda.\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n**The Problem:**\n\n* Millions of people every year join class action and mass tort lawsuits, hoping for justice and compensation. \n* For the law firm, this means verifying proof of usage and liability for each person—information often buried across thousands of pages of medical, pharmaceutical, and product records. \n* This compounds to several months of work for law firms just to determine who qualifies and who doesn’t.\n\n**Our Solution:**\n\nhttps://www.youtube.com/watch?v=EaPmwze4G18\n\nKalinda…\n\n* **Extracts** proof of use, proof of injury, and other critical data points\n* **Aggregates** and correlates this data against lawsuit criteria\n* **Generates** a single report so plaintiff attorneys instantly know if a case is valid to file\n\nAll while doing this for each case, _working tirelessly and in parallel_. \n\nWhen scaled across an entire litigation this turns a process that once took months into just a few hours.\n\nAs the lawsuit progresses and criteria change, we also help attorneys filter, categorize, and score to surface their strongest cases.\n\n**Where we’re at:**  To date, we’ve processed 600k pages of records and are live with 2 of the largest plaintiff law firms in the U.S!\n\n**The Why & The Vision:**\n\nThe plaintiff side of class actions and mass torts have struggled for decades now with what’s often called the [“Field of Dreams” problem](https://texaslawreview.org/multidistrict-litigation-and-the-field-of-dreams/). Thousands of clients sign up for a lawsuit looking for restitution - only to leave the law firm buried in records, missing deadlines, and filing bad cases. When courts throw out these bad cases, it weakens the plaintiff side’s leverage in settlement negotiations.\n\nWith Kalinda, class action & mass tort law firms can now file valid cases faster and file more of them — fundamentally changing for the first time in 172 years not only how many people can get justice against corporate negligence, but how fast it’s delivered.\n\n**The Team:**\n\n![uploaded image](/media/?type=post&id=93158&key=user_uploads/2232317/204e2640-94bc-464d-b0da-40f257ffc8d8)\n\n* **Sayan (Co-founder & CEO) -** did AI research at UC Davis’s LUKA Lab in instruction tuning optimization. \n* **Sohil (Co-founder & CTO) -** did AI research at Pacific Northwest National Lab\n\nWe’ve been collaborators together since Day 1 and even co-founded and scaled a STEM non-profit together to 7000 students worldwide.\n\n**Our Ask:**\n\nIf you either have \n\n1. Been a part of a class action or mass tort in the past\n2. Know a friend or family who’s been a part of a class action or mass tort \n3. Know any attorneys, paralegals, associates at class action/mass tort law firms.\n\nReach out at [founders@kalinda.ai](mailto:founders@kalinda.ai). We would love to chat!",
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    "website": "https://convictiontrade.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Conviction lets you create and discover trading ideas, then monitors the market and acts on them for you.\r\n\r\nStart with any idea you have - or discover one from traders you follow on X or Reddit - and turn it into a strategy in natural language. Backtest it, paper trade it, deploy it and share what you learn.",
    "one_liner": "Anyone Can Trade",
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    "industry": "Fintech",
    "subindustry": "Fintech",
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        "full_name": "Aria Vikram",
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        "full_name": "Tony Yamin",
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        "founder_bio": "Co-Founder & CTO @ Conviction; turned down offers from Google and BlackRock. Previously built machine-learning infrastructure for the U.S. Department of Defense at Booz Allen. Best AI @ HackPrinceton and Finalist @ YaleHack.",
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        "id": 115741,
        "title": "Conviction - Trading Desk in Your Pocket",
        "tagline": "Turn ideas into trades in seconds ",
        "body": "Hey everyone!\n\nWe’re Aria &amp; Tony, co-founders of Conviction. We spent much of college experimenting with our own trading strategies. We became obsessed with one question: why should sophisticated trading tools only be accessible to Wall Street?\n\n**TL;DR:** Describe a trading idea in natural language. Conviction tests it on historical data and deploys an AI agent that trades on your behalf.\\\n\\\n<https://youtu.be/Pdqy2_8Red8>\n\n**The Problem**\n\nMost people don't have time to stare at charts all day. \n\nBut trading ideas show up everywhere: On Reddit. In the news. On X. YouTube. TikTok.\n\nThe hard part is separating signal from noise and acting in time. \\\n\\\n**Our solution**\n\nConviction gives everyday investors access to the kind of research, testing, and execution tools that were once built primarily for professional trading desks.\n\n### **How it works**\n\n1. **Start with an idea**\\\n   Describe a trading thesis or discover one from the market.\n2. **Research it instantly**\\\n   Conviction pulls from SEC filings, financial news, market data, X, Truth Social, Reddit, earnings, and other signals to help you build the strategy.\n3. **Test before you trade**\\\n   Backtest your strategy against historical market data in seconds and see how it would have performed.\n4. **Try it with fake money in the real market**\\\n   Paper trade the strategy live before putting real capital behind it.\n5. **Deploy when you are ready**\\\n   Connect your brokerage and put your strategy to work.\n6. **Let your agent watch the market for you**\\\n   Your AI agent continuously monitors market data, technical indicators, news sentiment, SEC filings, earnings, social signals, and more, then acts when your conditions are met.\n\nInstitutions have always been one step ahead. Our mission is to bridge that gap and bring those tools to you.\n\n**Start trading here:** [convictiontrade.ai](http://convictiontrade.ai)\n\n**Questions?** Email us here: [founders@convictiontrade.ai](mailto:founders@convictiontrade.ai)\n\n**Join our Discord** to be part of the Conviction community. Get access to exclusive offers, swag, product updates, and opportunities to help shape what we build next: <https://discord.gg/cx27rUVeF>\n\n**Our ask:** Traders, future traders, market obsessives. Send this to your people.",
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        "title": "Parachute: Evaluate, Deploy, and Monitor Clinical AI",
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        "body": "Hey everyone!\n\nWe’re Aria & Tony, co-founders of Parachute – the end-to-end governance infrastructure that helps hospitals adopt AI safely and at scale. \n\n**TL;DR:** \n\nParachute helps health systems evaluate, deploy, and monitor every AI tool they touch – whether it’s an Epic plug-in, vendor model, or in-house imaging model.\n\nhttps://youtu.be/tRvaL0LaWOI?feature=shared\n\n**Why we built this**\n\nDuring our time spent deploying AI at Columbia University Irving Medical Center (CUIMC), we kept seeing the same issues:\n\n* 2,000+ clinical AI tools have hit the market\n* New rules (HTI-1, Colorado AI Act, CA SB 3030, White House AI Action Plan) demand auditable proof of safety, equity, and efficacy\n* Lean IT teams can’t possibly vet and watch every model, and a single failure can cost lives and trigger seven-figure settlements\n\nGreat innovations die in pilot hell because the infrastructure to deploy AI tools simply does not exist.\n\nThat’s why we built Parachute and why CUIMC now uses it to track live models in real time.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXfMeMr6DgcDfTSH91cRA9KtSS09A-U2M58jcX1CTXsbPw7Ud6BHvJcCpmNCjMdLr81Nsd2w887yyYtaGkNny9DtSgWATBs8qekupLkiRfuj4WlU33gbaf9u5hCBcgUypKIjh6yFlA?key=tv4NvQsH04_CHvpgP40CGw)\n\n🪂 **How Parachute works** \n\n**1. Vendor discovery and vetting**\\\nAI agents map the hospital’s gaps and goals to the best AI tools on the market, while our review engine flags any compliance issues in vendor documentation.\n\n**2. State-of-the-art benchmarking and evaluations**\\\nOur automated scoring and stress testing helps decision makers identify the best-fit options.\n\n**3. Real-time observability**\\\nOnce a tool is adopted, Parachute monitors it from inception through post-deployment. We automate real-time tracking of performance, drift, and bias – alerting you the moment any metric slips below threshold.\n\n**4. Immutable audit trail**\n\nEvery approval, test, change, and runtime metric around a model is documented and audit-ready for regulators.\n\n**Call to action**\n\nHospital leaders: Want stalled pilots live before 2026, access to the world’s best AI tools, an audit-proof evidence trail and hands-free monitoring? \n\nAI vendors: Want your product listed in the only marketplace that maps directly to hospital gaps and compliance needs?\n\nReach us at [founders@parachute-ai.com](mailto:founders@parachute-ai.com) or book a meeting [here](https://calendly.com/founders-parachute-ai/30min). \n\nFor more information visit: [parachute-ai.com](http://parachute-ai.com)\n\n**Launch Offer**\n\nYC AI companies: 50% off a marketplace listing.",
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        "id": 92570,
        "title": "IronLedger.ai: AI agents for property accounting",
        "tagline": "Eliminate 100s of hours from your property accounting workflows",
        "body": "Hi all, we’re Nick & Sam and the co-founders of [IronLedger](https://www.ironledger.ai/?utm_source=yc-launch&utm_medium=referral&utm_campaign=yc-launch-2025).\n\nIronLedger provides AI agents for property accounting, starting with accounts payable. **We already eliminate 100s of hours of expense work for 1000s of multifamily units every month.**\n\nIf you know any property owners, managers or accountants, we can save them 100s of hours and $1000s in accounting spend per month. Reach out to [sales@ironledger.ai](mailto:sales@ironledger.ai) for them to take advantage of our special Launch Deal: _25% off your first month + cancel anytime (ends 08/08/25)._\n\nhttps://www.youtube.com/watch?v=FHruoQipavM\n\n# **Today, property accounting is a massive headache**\n\nFor every 1,000 multifamily units, someone on your accounting team is stuck analyzing 400+ transactions. They’re flipping between Yardi, Excel and Outlook, while texting property managers for more detail. It’s not uncommon for this process to take a full week of every month. Accounting teams also have to balance billbacks, bank reconciliations and dozens of other workflows. As an owner or manager, the stress of maintaining accurate financials and finding quality accountants, takes energy away from growing your business. \n\nTraditional thinking is to throw more headcount at the problem or outsource accounting. But these are expensive, time consuming, and low quality options.\n\n# **Enter IronLedger**\n\nIronLedger offers the first AI agents for property accounting. Using AI, IronLedger can read, code and collect relevant details from every transaction. It tracks invoices over email, receipts over text and proactively communicates directly with other humans (vendors, managers or maintenance teams) so you don’t have to. IronLedger makes your data immediately accessible, so accountants and asset managers can start closing your books in days, not weeks.\n\n![uploaded image](/media/?type=post&id=92570&key=user_uploads/2556851/109de86c-2701-46e9-9eae-754dbc73cb02)\n\nIronLedger also codes as well as your best accountant. Using thousands of historical transactions, the right context, and novel LLM techniques, we can code your expenses with &gt;99% accuracy. Low confidence transactions are proactively flagged for review.\n\n![uploaded image](/media/?type=post&id=92570&key=user_uploads/2556851/98d16650-f1c6-429c-9777-ff476e537ea6)\n\nSetup requires &lt;2 hours of your time and IronLedger is immediately built into your existing team’s workflows. \n\nStop your accounts payable headache today. Partner with [IronLedger](https://www.ironledger.ai/?utm_source=yc-launch&utm_medium=referral&utm_campaign=yc-launch-2025) ([sales@ironledger.com](mailto:sales@ironledger.com)).\n\n# **About us**\n\nNick (CEO) was previously a consultant at Bain & Co and venture investor with Future Back Ventures. He is a passive real estate investor and his family developed & managed commercial real estate. Sam (CTO) was previously a tech lead at Rippling and built core Rippling HRIS systems as they scaled from 300 to 5K+ employees.\n\n![uploaded image](/media/?type=post&id=92570&key=user_uploads/2556851/4a60808c-d7d1-4e75-8723-3294de26a55e)\n\n",
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        "votes": 53,
        "created_at": "2025-07-30T17:58:11.550Z"
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    "name": "OneStop",
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    "website": "https://www.askonestop.com",
    "all_locations": "New York City, NY, USA",
    "long_description": "OneStop is a local classifieds network for New York City. Find and post local listings. ",
    "one_liner": "The local internet for NYC.",
    "team_size": 2,
    "industry": "Consumer",
    "subindustry": "Consumer",
    "launched_at": 1754968088,
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        "full_name": "Zlatko Jončev",
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      {
        "id": 120586,
        "title": "b12 Foundry - We Make the Molecules AI Designs",
        "tagline": "AI Chemistry Foundry - from a molecule on a screen to a compound in a vial",
        "body": "![uploaded image](/media/?type=post&id=120586&key=user_uploads/2507050/a1d7d999-eef2-4350-86a4-f299ef904756)\n\n\\\n**TL;DR:**\n\nAI can design a molecule in seconds, but making it can still take a chemist weeks. b12 Foundry turns a molecule on a screen into a compound in a vial, in a fraction of the time it would take a chemist. A combination of state-of-the-art AI agents plans the route, designs the experiments and runs them on robots in our partner lab, so you get your molecules, and clean data including failed reactions, without needing a lab of your own. **Last year we launched here as a chemistry copilot. Today we work with several large companies, across pharma, flavor and fragrance, energy and biotech industries and universities, and the Foundry is actively making molecules for clients.**\n\n#### ❌ **The problem:**\n\n**AI designs molecules faster than anyone can make them:**\n\n* AI models can now design a molecule in seconds, but making it can still take a chemist weeks.\n* The most interesting designs sit outside the catalogues vendors build from simple, reliable reactions, so someone has to make each one by hand.\n* In practice, teams end up testing an easier cousin of the molecule their model wanted, or nothing at all.\n\n**Good chemistry data is hard to find:**\n\n* Published data mostly shows the reactions that worked, so the failures that models need to learn from rarely get recorded.\n* Running clean, consistent experiments at scale takes a lab, robots and people that most AI teams don't have.\n\nIf you're building AI for drug discovery or materials, synthesis is quickly becoming your bottleneck.\n\n## ✅ **Our Solution:**\n\n<https://youtu.be/HV_etgiCdkM?si=ypo5-kO_EwbztgpO>\n\n**b12 Foundry** combines state-of-the-art AI agents with robots in our partner lab, so we can **plan** and **run** complex chemistry for you, end to end.\n\n**How it works:**\n\n* **Send us a molecule or a workflow:** Share a structure your model designed, or an experiment you want run.\n* **Our agents plan the chemistry:** They work out how to make the molecule and design the experiments for the hardest steps.\n* **Robots run it in our partner lab:** The agents run every experiment on the robots, including chemistry that is hard to do by hand.\n* **You get compounds and data back:** You receive the molecules plus every result, failed reactions included, and everything we run for you belongs to you.\n\n## **👥 Our Team:**\n\nWe are Zlatko and Andres, and in the past, we have:\n\n1. Worked with big pharma (Roche), Chemical Robotics ([**Chemspeed**](https://chemspeed.com/)), and big chemical data ([**MaxPlanck**](https://www.mis.mpg.de/));\n2. Pioneered [**AI agents**](https://www.nature.com/articles/s42256-024-00832-8) for chemistry and [**retrosynthesis**](https://arxiv.org/abs/2503.08537) (at EPFL);\n3. Invented [**new chemistry**](https://onlinelibrary.wiley.com/doi/10.1002/anie.202211168).\n\nWhen we launched here last year, we promised a full stack from planning to robotic execution. Since then, our customer base has grown well beyond pharma. Alongside three large pharma companies, including a top-3 global pharma that came back as a repeat customer, we now work with a flavor and fragrance leader, energy companies, biotech companies, and universities around the world. An AI drug discovery platform has also built our synthesis agent into its own pipeline, and this summer we opened the Foundry, which is actively making molecules for clients.\n\nThe team has grown with it. **Adriana Faraone**, our Research Scientist, runs the experiments in the Foundry, and **Victor Sabanza Gil** joins us from his PhD at EPFL, where he worked on [**Bayesian optimization**](https://arxiv.org/abs/2410.00544) for molecules and materials, the kind of AI that decides which experiment to run next. Together, we give anyone with a molecule on a screen extra **brainpower** and an **additional pair of hands**.\n\n## 🙏 Our Ask:\n\nDo you know a biotech or AI-for-science team whose molecules are hard to make, or who needs experimental chemistry data? We would love a warm intro!\n\nIf you've set up a wet lab in the Bay Area, we'd love 20 minutes of your advice, because our own lab here is next.\n\nSend us an email at: [founders@b12-labs.com](mailto:founders@b12-labs.com) or send them to our website: [b12-labs.com](http://b12-labs.com)\n\n#### ",
        "url": "https://www.ycombinator.com/launches/VMw-b12-foundry-we-make-the-molecules-ai-designs",
        "votes": 6,
        "created_at": "2026-10-08T13:52:26.985Z"
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      {
        "id": 92473,
        "title": "b-12 - Chemistry Copilot for Pharma & Biotech",
        "tagline": "Full Stack Chemistry Platform - from planning to robotic execution of experiments",
        "body": "**TL;DR:**\n\nDrug discovery is slow, and it costs billions of dollars. The bottleneck in early discovery is chemical synthesis. b-12 is building a full stack of AI agents to deliver planning and robotic executions of experiments, in minutes, not months. **Our team has developed custom robots for chemistry (Chemspeed), orchestrated AI agents for lab control (EPFL & IBM), and is translating this into a powerful and easy-to-use product.**\n\n**Ask:** Are you running chemistry experiments or chemical robots? Do you know someone who is? Email us at [founders@b12-labs.com](mailto:founders@b12-labs.com) to be added to our pilot program. See below for details.\n\nhttps://www.youtube.com/watch?v=qmf7q-Sie2o\n\n# ❌ **The problem:**\n\n**Drug Discovery is slow:**\n\n* It takes 10+ years and over $2 billion to discover a new drug.\n* 2 in 10000 compounds make it.\n* Chemistry execution is very slow.\n\nExperiments take time! Designing good experiments and trial and error in the lab are big factors.\n\n![uploaded image](/media/?type=post&id=92473&key=user_uploads/2507050/0cd3f202-e48b-48da-a6e5-3ae1572cddab)\n\n**Software for chemists is fragmented:**\n\n* There are many solutions for many different parts of the pipeline.\n* Tools are outdated, and integration is largely missing.\n\n**Lab robots are underused:**\n\n* Most lab robots are _not accessible to scientists_ because they are hard to use.\n* Drag and drop software for multimillion-dollar robotic labs.\n* Lab automation engineers are hard to find.\n\n**Current State:**\n\n![uploaded image](/media/?type=post&id=92473&key=user_uploads/2507050/2a3d91a0-8e78-44d9-a89c-f1dcc7b45f67)\n\n**b-12:**\n\n![uploaded image](/media/?type=post&id=92473&key=user_uploads/2507050/893d0cd2-d071-43be-b08e-ddf29b8aaddc)\n\n# ✅ **Our** **Solution:**\n\nWe are integrating a full stack of Agents to **design experiments** and **write code for the robot** that runs these experiments, with the tools and context needed to predict chemically meaningful results, and close the experimental loop.\\\n\\\n**Key capabilities of our Agents:**\n\n* **Streamline Experiment Planning**: Our tools accelerate creation of experimental details based on literature and expert tools, and tailor the output to the user’s specific needs.\n* **Unified platform:** Our platform integrates several agents that are in tight communication and can go from natural language input to robotic execution in minutes.\n* **No coding required - use natural language:** With arbitrary input flexibility, we can control the robot the same way you would talk to your lab-mates, including inputs from previous runs, and uploading relevant documents.\n* **Parallel and scalable to any lab:** We are vendor agnostic, and integrate with different robotics (Chemspeed, Unchained, Opentrons, etc.) and labs performing experiments manually.\n\n**Pilot Program:** Our team will work on integrating Agentic solutions tailored to your lab's specific problems, whether you use lab automation or not. We want to speed up molecular discovery.\n\n# **👥 Our Team:**\n\n![uploaded image](/media/?type=post&id=92473&key=user_uploads/2507050/92133d6c-ba4b-4722-9115-8c45405366aa)\n\nWe are Zlatko and Andres, and in the past, we have:\n\n1. Worked with big pharma (Roche), Chemical Robotics ([**Chemspeed**](https://chemspeed.com/)), and big chemical data ([**MaxPlanck**](https://www.mis.mpg.de/));\n2. Pioneered [**AI agents**](https://www.nature.com/articles/s42256-024-00832-8) for chemistry and [**retrosynthesis**](https://arxiv.org/abs/2503.08537) (at EPFL);\n3. Invented [**new chemistry**](https://onlinelibrary.wiley.com/doi/10.1002/anie.202211168);\n\nNow we want to integrate it into a seamless platform, where anyone who wants to run experiments gets extra **brainpower** and an **additional pair of hands**.\n\n# 🙏 Our Ask:\n\nDo you know anyone in chemistry working in the pharmaceutical or biotech industry?\n\nWe would love a warm intro!\n\nSend us an email at:\n\n[founders@b12-labs.com](mailto:founders@b12-labs.com) or send them to our website: [b12-labs.com](http://b12-labs.com)",
        "url": "https://www.ycombinator.com/launches/O3V-b-12-chemistry-copilot-for-pharma-biotech",
        "votes": 37,
        "created_at": "2025-07-31T16:18:49.754Z"
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    "name": "Flai",
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    "long_description": "The problem we solve: 56% of dealership leads arrive after business hours, and most dealers lose these potential customers to competitors who happen to be available 24/7. Missing after-hours calls alone costs the average dealership $1M annually in lost revenue.\r\n\r\nWe built Flai to fix this - AI assistants that answer dealership calls 24/7, scheduling test drives, oil changes, or running outbound recall campaigns so no opportunity slips away.\r\n\r\nThe result: No more missed opportunities, no more losing customers to competitors.\r\n\r\nOur founding team has built voice AI products at HappyRobot, scaled infrastructure at Uber for millions of users, and applied data science at Netflix to solve operational challenges.\r\n\r\nWe're not just answering phones, we're helping dealerships win in an AI-first world where availability determine who gets the sale.",
    "one_liner": "We Bring Customers to Your Dealership",
    "team_size": 40,
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    "subindustry": "Industrials -> Automotive",
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      "url": "https://www.ycombinator.com/people/andrew-miklas"
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        "full_name": "Ari Polakof",
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        "founder_bio": "Co-founder and CEO of Flai. Previously Founding Engineer at Happyrobot (S23).",
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        "full_name": "Juan Alzugaray",
        "title": "Founder",
        "founder_bio": "Co-founder and COO of Flai. Previously data science at Netflix.",
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        "full_name": "Alen Polakof",
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        "founder_bio": "Founder and CTO of Flai. Previous Founding Engineer at HappyRobot (S23), and Infrastructure at Uber 4+ years.",
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        "id": 84095,
        "title": "Regional Account Executive",
        "url": "https://www.ycombinator.com/companies/flai/jobs/qCddsM1-regional-account-executive",
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        "title": "Flai is the latest startup bringing AI to car dealerships | TechCrunch",
        "url": "https://techcrunch.com/2025/10/03/flai-is-the-latest-startup-bringing-ai-to-car-dealerships/",
        "date": "Oct 03, 2025"
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        "id": 92327,
        "title": "Flai — We Bring Customers to Your Auto Dealership",
        "tagline": "We answer the phone 24/7 and manage critical outbound communications, helping auto dealerships turn more leads into booked on-site visits.",
        "body": "**Contact:** [founders@useflai.com](mailto:founders@useflai.com)\n\n**TL;DR**\n\n✅ **24/7 AI assistant** that books test drives & service appointments in seconds\\\n✅ **Smart outbound AI assistant** that handles recalls and appointment reminders\\\n✅ **Plug-and-play integrations** with dealer DMS/CRM; live in stores today\n\nhttps://www.youtube.com/watch?v=xO1TXqmllIQ\n\n❌ **The Problem**\n\nDealerships are trapped in a never-ending cycle that bleeds revenue:\n\n* **60% of dealership leads arrive after business hours** and most dealers can't answer\n* **70% who hit voicemail contact a competitor within 30 minutes**, losing the sale\n* **Each store loses $1M annually** from those missed calls alone\n* **Staffed coverage is costly, inconsistent, and impossible to scale**\n\n✨ **Our Solution**\n\nFlai's Dealership-Tailored AI Assistants gives every dealership a tireless voice agent with three core capabilities:\n\n* **Always-On Coverage:** Our AI agents answer or dial every single customer 24/7, so no inquiry or follow-up slips through the cracks\n* **Multi-Channel Communications:** Calls, SMS, and email work together to book test-drives, service slots, and recall visits the moment customers are ready\n* **Dealer-Ready & Secure:** Fast DMS/CRM integration, full call logs, and SOC 2 Type II compliance, built for automotive retail from day one\n\nDealers switch it on in an afternoon and instantly reach **100% call coverage** with zero wait time.\n\n🛠️ **Why Now?**\n\nThe pain and the cure have finally converged.\n\n* **There's a phone-lead crisis unfolding:** 50% of inbound calls never reach a rep, and dealerships leak $1M+ annually from poor phone coverage\n* **Multiple breakthroughs in voice AI:** Agents have reached human-level fluency this year. The technology is finally ready\n\n👥 **Backstory & Team**\n\nAri waited for 30min on hold while booking a service appointment and the idea clicked: unanswered phones are bleeding dealerships dry. That same weekend we dropped in on ten dealerships, got our initial prospect (which we signed a few days later), and decided then and there to solve it.\n\n**Ari Polakof (CEO)** – Second engineer at Happyrobot (YC S23)\\\n**Alen Polakof (CTO)** – 4 years infra at Uber; knows how to keep systems up at scale\\\n**Juan Alzugaray (COO)** – ex-Netflix data scientist who turns ops pain into product\n\n🙌 **Our Ask**\n\n**Intros to people in the car dealership industry**, we'd love to chat ([founders@useflai.com](mailto:founders@useflai.com))",
        "url": "https://www.ycombinator.com/launches/O19-flai-we-bring-customers-to-your-auto-dealership",
        "votes": 38,
        "created_at": "2025-07-21T16:48:36.212Z"
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    "id": 30695,
    "name": "Channel3",
    "slug": "channel3",
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    "website": "https://trychannel3.com",
    "all_locations": "New York City, NY, USA",
    "long_description": "Channel3 is building a database of every product on the internet.\r\n\r\nGoogle and OpenAI maintain vast product graphs, but keep that valuable data to themselves. Channel3 gives every developer access, opening a world of possibility for new shopping experiences across any vertical. For instance, developers could build AI fashion stylists or give their agents shopping capabilities.\r\n\r\nWe don’t just collect product data; we actually understand it. With the latest image classification and reasoning models, we can match products across merchants—even when listings and images differ—recognize variants, and surface the perfect matches for every search. As we grow, we’ll capture unique insights into what users want, click, and buy.\r\n\r\nAs AI models get smarter and cheaper, our flywheel accelerates: our catalog will improve, and it will be even easier for developers and vibe-coders to build on our infrastructure. To further incentivize building on Channel3, we provide built-in monetization; developers earn commissions on sales they drive.\r\n\r\nAlex discovered this need while building an AI tutor that could recommend products and earn affiliate revenue. When no solution existed, he persuaded his smartest friend from Duke and former co-founder George to leave Palantir and build Channel3 together.",
    "one_liner": "Database of every product on the internet",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Retail",
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        "full_name": "Alexander Schiff",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder and CEO, Channel3 (S25).\n\nI started coding at 9 and launched my first company at 12. Studied Computer Science and Psychology at Duke, where George (Channel3 CTO) and I worked together for years and even founded a startup together. Worked as a PM at Microsoft, then reneged my return offer to lead AI projects at Studio.com, where I discovered this pain point and set out to solve it.\n\nFun fact: My twin brother and I auditioned for MasterChef Junior.",
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        "full_name": "George Lawrence",
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        "title": "Backend Engineer",
        "url": "https://www.ycombinator.com/companies/channel3/jobs/3DIAYYY-backend-engineer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$120K - $200K",
        "equity_range": "0.25% - 0.50%",
        "experience": "Any (new grads ok)",
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    "news": [
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        "title": "Channel3 raises $6M to build a database of every product on the internet - Channel3 Blog",
        "url": "https://trychannel3.com/blog/channel3-raises-6m",
        "date": "Dec 10, 2025"
      }
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    "launches": [
      {
        "id": 92118,
        "title": "Channel3: A database of every product on the internet",
        "tagline": "Channel3 lets developers add commerce to their websites, apps, and AI agents — and earn commission.",
        "body": "Hi! We’re [George](https://www.linkedin.com/in/george-lawrence-aab0011a6/) and [Alex](https://www.linkedin.com/in/alexanderschiff/), and we’re building [Channel3](https://trychannel3.com): **a database of every product on the internet.**\n\nLaunch Video: https://www.youtube.com/watch?v=gut-0iopIDg&feature=youtu.be\n\n**What?**\n\nEvery time you shop on Google, Amazon, or ChatGPT, you’re querying a product database. These companies have built massive product catalogs — with pricing, availability, images, and specs — but they keep this data private. That means only the giants can build shopping experiences. Channel3 is changing that. We’re building a universal product catalog and giving every developer access.\n\n**Got it. What can I use a product database for?**\n\nAny website, app, or AI agent can boost revenue by adding commerce – without holding inventory or processing payments. You could, for example, build a kitchen co-pilot that suggests the best tools for every cook, or a fitness app that intelligently recommends equipment needed for the next class.\n\n**How do I make money with Channel3?**\n\nMonetization is built in. With Channel3, developers earn commission on every sale they drive — no chasing affiliate deals, no ads that break trust, and no subscription fees users won't pay.\n\n**Why now?**\n\nMultimodal models have only just become accurate and cheap enough to recognize products visually and semantically, letting us match duplicates across merchants, structure heaps of messy data, and link variants like color or size.\n\nAs AI models get smarter and cheaper, our flywheel accelerates: our catalog will improve, and it will be even easier for developers and vibe-coders to build on our infrastructure.\n\n**Why we’re building this**\n\nAlex discovered this problem firsthand while building an AI teacher that could recommend appropriate products for its students. He discovered that giving AI agents shopping capabilities is both a real pain-point and a growing opportunity, so he persuaded George, his smartest friend from Duke and former co-founder, to leave Palantir and build the solution together.\n\n**I’m in! What now?**\n\nWe’re looking for developers who want to build the next generation of shopping on top of Channel3 (and get paid to do it!).\n\nSign up today at [trychannel3.com](http://trychannel3.com), or reach out at [founders@trychannel3.com](mailto:founders@trychannel3.com).\n\n![uploaded image](/media/?type=post&id=92118&key=user_uploads/873183/480c3aca-d06a-460a-a990-50408ddee2b2)\n\n",
        "url": "https://www.ycombinator.com/launches/Nxm-channel3-a-database-of-every-product-on-the-internet",
        "votes": 63,
        "created_at": "2025-07-14T16:08:19.203Z"
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        "user_id": 1188611,
        "full_name": "Jiehua Wu",
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        "full_name": "Almo Sutedjo",
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        "title": "Comena — AI agents that automate order processing for distributors and manufacturers",
        "tagline": "Automated order entry - from inbox to ERP",
        "body": "👋 Hello!\n\nWe’re Jiehua and Almo, co-founders of **Comena**. We've been building things together since middle school and this time, we’re automating one of the most painful processes in B2B supply chains.\n\n---\n\n### 🧠 TL;DR\n\n\\*\\*Comena automates order entry from inbox to ERP for distributors and manufacturers.\\*\\*\\\nNo more manual data entry. No more wasted time. Our AI reads purchase orders from emails or PDFs, extracts key info, matches products to SKUs, and sends the order to your ERP — with (or even without) human-in-the-loop review.\\\n**Sales teams save 75-99% of time spent on order processing.**\n\n---\n\n### 😩 The Problem\n\nIn industrial supply chains (fasteners, parts, MRO, etc.), every order and inquiry is still typed manually into an ERP.\n\nHere’s how it looks today:\n\n1. A distributor or manufacturer receives a PO via email\n2. A sales rep opens a PDF attachment\n3. They manually type the content of the e-mail/PDF into the ERP\n4. Then it goes to fulfillment\n\nThis process is repeated **every single day** and eats up to **50% of inside sales teams’ time** — time that could be spent on proactive selling and customer relationships.\n\n---\n\n### ⚙️ Our Solution\n\nhttps://youtu.be/yoii7pgK1GY\n\nWe built an AI-powered order processing agent that automates this end-to-end:\n\n✅ Forward any PO or RFQ to Comena\\\n✅ Our AI extracts header data, product descriptions, quantities, pricing, etc.\\\n✅ Matches the items to your product number (even from messy free-text)\\\n✅ Sales rep quickly reviews the output\\\n✅ Sends it to the ERP with 1 click\n\nWe support PDFs, Excel sheets, RFQs, email bodies — and integrate seamlessly with ERPs. If your ERP supports EDI, even better: Comena plugs right in.\n\n---\n\n---\n\n### 👬 About Us\n\nWe’ve been friends for over 10 years — building robots together and winning awards at robotics world championships when we were younger.\n\n* **Jiehua (CEO)** was the youngest software engineer at Google Switzerland, a PM at Pina Earth (YC W22), and first hire at procurement startup askLio (YC S23).\n* **Almo (CTO)** was the first hire at Leaping AI (YC W25), and worked at Amazon AWS, HubSpot, and Microsoft, integrating OpenAI into Azure.\n\n---\n\n### 🙏 Our Ask\n\nIf you know anyone who fits the below, we’d **love an intro**:\\\n• Distributors or manufacturers processing lots of POs\\\n• Companies in industrial, MRO, or parts supply\\\n• Sales or ops leaders frustrated by manual order workflows\n\nOr just reach out if you’re curious — we’d love to show you the product.\n\n📧 [jiehua.wu@comena.ai](mailto:jiehua@comena.ai)\\\n💻 [https://www.comena.ai](https://comena.ai)\n\nLet’s automate manual order entry together!\\\n– Jiehua & Almo\n\n![uploaded image](/media/?type=post&id=92472&key=user_uploads/1188611/8acc3123-8a3a-4461-aec2-6a0acffeebf4)\n\n",
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      {
        "title": "18-year-old founder closes pre-seed funding round for AI startup - UKTN",
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      {
        "id": 92166,
        "title": "Nia: 10x the context of your coding agent",
        "tagline": "Improved Cursor's performance by 27%",
        "body": "### **TL;DR**\n\nStop hand‑feeding links and developer context to your agent. [**Nia**](https://www.trynia.ai/) is an MCP server that can index entire codebases & documentation sites, perform deep research, and more so agents like Cursor, Continue, and Cline “just know” the right answer.\n\n_In internal evals we improved Cursor’s performance by **27 %** once [**Nia**](https://www.trynia.ai/) had indexed external docs models couldn’t get from their training data or searching the web._\n\nhttps://youtu.be/WSqM5FmqFQM\n\n### **The Problem**\n\n* Coding agents are great with local files but fail when it comes to external context enrichment.\n* Agents are finally great at codegen, **terrible at retrieving the right context**.\n* You still copy‑paste GitHub and web links one‑by‑one and pray the model scrolls far enough.\n\nContext—not generation—is now the bottleneck.\n\n### **What Nia does**\n\n* **Indexes multiple repos & entire docs sites at once** via an MCP server.\n* Works as MCP server and can be used inside Cursor, Cline, Continue etc.\n* **Deep‑Research Agent**: ask “Compare LangChain, Llama Index, Haystack,” get an auto‑generated table (pros, cons, best pick) _and_ have all three repos pre‑indexed for later use.\n\n### **Get Started in &lt;3 minutes**\n\n1. Grab your API key at [**https://app.trynia.ai/**](https://app.trynia.ai/)\n2. Follow instructions at [**https://docs.trynia.ai/integrations/nia-mcp**](https://docs.trynia.ai/integrations/nia-mcp)\n3. Enjoy.\n\nhttps://youtu.be/5019k3Bi8Wo?si=ERmnmo01IJ3DQfrv\n\n### **My ask**\n\n1. Try Nia today and tell us what context your agent still misses.\n2. BOOK A **FREE** CALL → [**https://calendly.com/arlanrakh/nia-ai-demo**](https://calendly.com/arlanrakh/nia-ai-demo)\n\n👉 Contact me at [arlan@nozomio.com](mailto:arlan@nozomio.com)\n\n![uploaded image](/media/?type=post&id=92166&key=user_uploads/1894718/af79e074-2831-40ec-a7a6-e7f27f0be8f1)\n\n### **My story**\n\n* I’m **Arlan**, solo‑founder immigrant from Kazakhstan.\n* Launched my first edtech startup at 15.\n* I got kicked out of my math classes for taking investor calls, so I dropped out of high school to move to London where I raised my pre-seed in couple days.\n* I cold-emailed my way into research @ Stanford when I was 16, and worked closely with a Georgia Tech professor on a book called Cobra, a powerful interactive tool for finding defects or suspicious patterns in source code.\n\n![uploaded image](/media/?type=post&id=92166&key=user_uploads/1894718/d5b86613-0561-43b4-8c2d-2bec5ee03639)\n\n",
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        "votes": 221,
        "created_at": "2025-07-15T14:13:02.959Z"
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    "website": "https://solvatechnology.com",
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    "long_description": "Insurance is 7% of worldwide GDP and we’re building the infrastructure for how the world handles risk",
    "one_liner": "Building the new superintelligence for insurance",
    "team_size": 7,
    "industry": "Fintech",
    "subindustry": "Fintech -> Insurance",
    "launched_at": 1754360048,
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        "full_name": "Herman Båverud Olsson",
        "title": "Founder/CEO",
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        "user_id": 2404549,
        "full_name": "Sorena Amini",
        "title": "Founder/COO",
        "founder_bio": "COO and Co-founder of Solva. Was previously part of building tech-enabled companies in traditional industries, including KeyTo (from $60m to $250m). Before that, I worked at Citi focusing on InsurTech and at Talentech (formerly ReachMee) with growth and product.",
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        "user_id": 2782188,
        "full_name": "Linus Malmén",
        "title": "Founder/CTO",
        "founder_bio": "CTO and Co-founder of Solva. Before Solva, I Co-founded Zaver (most recently starred in CNBC), a European neobank processing over €1 billion annually under an EBA-CRD license. Clients include Porsche, Volkswagen, and Loewe. I've led AI development for leading tech companies long before AI became the norm and my work has been featured in TechCrunch, Bloomberg and Forbes.",
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        "id": 81385,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/solva/jobs/V9X1F0T-founding-engineer",
        "location": "New York, NY, US",
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        "id": 92740,
        "title": "Solva: Harvey for insurance",
        "tagline": "Harvey for insurance - AI that automates insurance claims and stops wrongful payouts",
        "body": "**TLDR:** We are building Harvey for insurance. We help insurers automate claims and stop wrongful payouts using verifiable AI agents.\n\nOur team has spent the last decade battling legacy systems and dogma across highly regulated sectors of the financial industry. We’ve founded an EU-licensed bank (under the EBA CRD) and been part of scaling Europe’s fastest-growing InsurTech. We’ve seen firsthand the challenges with manual claims handling and how AI can fundamentally transform this process\n\n[**https://youtu.be/wfX4D08cNk4**](https://youtu.be/wfX4D08cNk4)\n\n---\n\n**The problem**\n\nYearly insurance claim payouts total more than $6.5 trillion (6% of worldwide GDP). The way insurance is sold has evolved considerably, but the handling of claims has remained largely unchanged since the early days of the internet. Due to the inconsistent nature of manual processing, handling errors alone are estimated to cause more than $200B in wrongful payouts per year. Add another $75B to that number for administrative operating expenses, and a rough idea of the true cost emerges.\n\nThe industry’s fix to this problem? Windows 2000-era admin UIs glued onto IBM mainframe systems, fragile RPA-automations that break every Feb 29th, and an army of adjusters. The result is a mess of growing complexity - and customers pay the price.\n\n---\n\n**The solution**\n\nSolva automates repetitive tasks and prevents wrongful payouts using verifiable, self-learning AI agents - built to run seamlessly on top of any existing claims stack.\n\nSolva’s system:\n\n* Detects incomplete evidence\n* Identifies breaches of policy terms\n* Exposes fraudulent behavior\n* Delivers source-cited claim recommendations\n\nWe bring claims handling from punchcards to Claude Code - helping insurers to stop spending billions on repetitive tasks and wrongful payouts.\n\n---\n\n**The team**\n\n![uploaded image](/media/?type=post&id=92740&key=user_uploads/2404520/068071e0-ad95-4555-bc06-332e3c2e2fbd)\n\n* **Herman Båverud Olsson** \\\n  Herman is the CEO and Co-founder of Solva. He was previously part of scaling Lassie to $50m, which was recognized by Sifted in 2024 as Europe’s fastest-growing InsurTech. Before that, he led AI and machine learning transformations at BCG X. He also has experience in FinTech and InsurTech from his time at Morgan Stanley\n* **Linus Malmen** \\\n  Linus is the CTO and Co-founder of Solva. Before Solva, he co-founded Zaver (most recently starred in CNBC), a European neobank processing over €1 billion annually under an EBA-CRD license. Clients include Porsche, Volkswagen, and Loewe. He has led AI development for leading tech companies long before AI became the norm and his work has been featured in TechCrunch, Bloomberg, and Forbes\n* **Sorena Amini** \\\n  Sorena is the COO and Co-founder of Solva. He previously built tech-enabled companies in traditional industries, including KeyTo (from $60 to $250M) during his time at Fidelio. He has longstanding experience in highly regulated financial industries, including advising insurance and InsurTech companies during his time at Citi",
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    "long_description": "Perseus Defense is building a mass-manufactured Counter UAS solution for the Department of Defense and Department of Homeland Security. Current solutions are one-to-one, too dangerous for use on U.S. soil, and orders of magntiude more expensive than the threats they defeat. Our self-guided missile platform is man-portable and multi-domain capable. It senses, engages, and eliminates threats with drastically reduced cost per engagement over existing kinetic solutions. \r\n\r\nSolving this critical national security problem requires understanding complex DoD needs along with actual rocket science including aerodynamics, guidance, navigation, control, and much more. Jason and Steve met at Penn State while they pursued their PhD and MS in aerospace engineering, respectively. Their past experiences designing space helicopters for NASA, making Boeing airliners land autonomously, controlling swarms of unmanned autonomous systems, teaching aerospace engineering at Stanford, winning multiple ONR and DOE engineering competitions, and founding an international drone competition makes them the perfect team to create transformative solutions protecting our service members. \r\n\r\n\"If you build this, it will be mandatory equipment for every truck, boat, and convoy in the U.S. Military. We're talking thousands of units.\" - Former DoD Procurement Officer\r\n\r\nThe White House just released Executive Order, \"Unleashing American Drone Dominance\" which adds billions of dollars, government support, and streamlined regulations to enable the development of our product. \r\n\r\nTraction: \r\nJason and Steve used more than 100 end-user interviews across the DoD and DHS to shape the product to something of critical need to both boots on the ground and DoD purchasers. In 8 short weeks following a strict 2-week design-build-test cycle, the team has gone through 4 major guided missile iterations with over 30 live-fire flight tests. They were invited to Ft. Hood to present their platform to the 1st Cavalry Division, and also briefed the Pentagon and U.S. congressmen on current U.S. vulnerabilities to advanced drone technology.  Perseus Defense is actively standing up cooperative research agreements with U.S. Army DEVCOM's Applied Research Laboratory, Aviation and Missile Center, Armaments Center, and High Performance Computing Modernization Program. ",
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        "full_name": "Jason Cornelius",
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        "full_name": "Steve Messinger",
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        "founder_bio": "Co-founder & CTO of Perseus Defense. Swarm robotics researcher focused on building and deploying real-world autonomy. I’ve won swarm robotics competitions, built autonomy that allows Boeing aircraft to land themselves, and developed collaborative behaviors for unmanned boats.",
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        "role": "Engineering",
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        "title": "Engineer",
        "url": "https://www.ycombinator.com/companies/perseus-defense/jobs/jeusOvL-engineer",
        "location": "Austin, TX, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Hardware",
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        "experience": "1+ years",
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        "id": 82476,
        "title": "Engineer",
        "url": "https://www.ycombinator.com/companies/perseus-defense/jobs/uxJvS5U-engineer",
        "location": "Austin, TX, US",
        "type": "Full-time",
        "role": "Engineering",
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        "id": 82477,
        "title": "Engineer",
        "url": "https://www.ycombinator.com/companies/perseus-defense/jobs/PsAC51N-engineer",
        "location": "Austin, TX, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Robotics",
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      {
        "id": 91870,
        "title": "Perseus Defense 🚀 Building America's Iron Dome for Drones",
        "tagline": "Meet Perseus, the team building affordable micro-missiles to combat drone swarms ",
        "body": "Hey everyone [👋](https://emojipedia.org/waving-hand) Happy 4th of July!\n\nWe’re [Jason](https://www.linkedin.com/in/jason-k-cornelius/) from NASA and [Steve](https://www.linkedin.com/in/steve-messinger-a32680155/) from Boeing – and now, we’re co-founders of [Perseus Defense](https://www.ycombinator.com/companies/perseus-defense).\n\n# **TL;DR — We're building guided micro-missiles that shoot down drones in combat**\n\n**_Ask_:** Do you know end-users across the Department of Defense (DoD) and Department of Homeland Security (DHS) that could benefit from attritable anti-drone solutions?\n\nhttps://youtu.be/o17lMdLuZWQ\n\n# **❌ The Problem**\n\nToday’s Counter-Unmanned Aerial System (**CUAS**) solutions are too expensive, too heavy, too slow, and too ineffective.\n\n1. **70-80%** of battlefield fatalities come from drone strikes\n2. **$100,000+** kinetic solutions are used to counteract **$500** drones\n   * **$500** drones are eliminating **$100M** assets\n3. Current solutions are easily defeated with fiber-optic, visual inertial odometry, or simple waypoint navigation missions\n\n![uploaded image](/media/?type=post&id=91870&key=user_uploads/1658535/5caa36d2-7e58-4001-b716-33dadb3e92b5)\n\n_$500 Ukrainian drones decimate $100M Russian strategic bombers_\n\n# 🚀 \\*\\* Our Solution \\*\\*\n\nPerseus is creating the first affordable guided micro-missile pods to bolster American defense capabilities both at home and abroad.\n\nOur micro-guided missiles detect, identify, and eliminate incoming threats before they can reach their intended target. They cost less than $10k, which is 2 orders of magnitude less than the current best solutions.\n\nSteve and I felt we could create a better solution to the CUAS problem and decided we had a moral obligation to follow through on that belief. We quit our old jobs and put it all on the line to fast-track this capability for the U.S. and our allies.\n\n![](https://lh7-rt.googleusercontent.com/slidesz/AGV_vUdop9WhSeh84TqDYnuwb3vz1KrIWMQDG2MWaFBwptJ3V92-8mbVSKxJzAVgy3W8RXJF8ovt3OHW-hN49IX6q1nBBLmdsuYzaAOJuATMlBJC1U1FTg9GwtyELc63ytxpmLWJ8Wfqag=s2048?key=GGmIlUfxi3cwLoUUF9rHqQ)\n\n_Perseus Defense Mark-II Guided Missile Test (Prototyped in 1 week)_\n\n![](https://lh7-rt.googleusercontent.com/slidesz/AGV_vUcAN59Yl56m_fFTA4T6Hy9mIwgWRyVILftyiV0zK5LBlNr0z9CtXbGM2Ds7u3F62fX8nX0j0HwFe0P8aahK_00gXESeyeQn8-8JmAdE5u9epJxbPEjHeEY7Gr7vq0ZwTOVYh89E5A=s2048?key=GGmIlUfxi3cwLoUUF9rHqQ)\n\n# **The Team**\n\nJason and Steve studied aerospace engineering together at Penn State University and founded Perseus Defense in 2025.\n\n**Jason (CEO)** designed NASA’s Titan Dragonfly space helicopter, led a NASA advanced projects team to design a next-generation Mars helicopter, and has contributed to multiple aerospace programs across NASA, the DoD, and commercial sectors. He holds a PhD in aerospace engineering with specializations in aircraft design, supercomputing, and machine learning. Jason also taught Aerodynamics at Stanford, speaks four languages, and founded an international drone competition.\n\n**Steve (CTO)** has worked as a swarm robotics researcher focused on building and deploying real-world autonomy. He won swarm robotics competitions with the Office of Naval Research, built autonomy that allows commercial aircraft to land themselves at Boeing, and developed collaborative behaviors for Unmanned Surface Vehicles at Applied Intuition.\n\n![uploaded image](/media/?type=post&id=91870&key=user_uploads/1658535/2c3d3f2c-7cd2-4a48-a4f2-f19631938c29)\n\n_Prepping a UAS-mounted Missile (Prototyped in 1.5 weeks)_\n\n# **🙏 Our Ask:**\n\nIf you answer “yes” to any of these, we’d love your help:\n\n* Have you been wondering how $500,000 CUAS solutions are supposed to combat $1,000 drones at scale?\n* Can you introduce us to end-users across the DoD or DHS that are looking for better solutions to protect our troops, our country, and our allies?\n\n👉 Contact us at [founders@perseusdefense.com](mailto:founders@perseusdefense.com)\n\nYour help can make a huge difference as we work to protect the folks we care about abroad and here at home. **Thank you!**",
        "url": "https://www.ycombinator.com/launches/Ntm-perseus-defense-building-america-s-iron-dome-for-drones",
        "votes": 40,
        "created_at": "2025-07-04T16:47:48.545Z"
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    "long_description": "Novaflow is the AI data analyst for biology labs. \r\n--\r\nBioinformatics data analysis is a time-consuming and expensive process for scientists. With Novaflow, life scientists can upload experimental data, ask questions in plain English, and get instant, publication-ready plots, giving them results in minutes instead of months.\r\n\r\nResearchers at leading institutions like UCSF, Mount Sinai, UC Berkeley, and Harvard are already using Novaflow in their labs.",
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        "experience": "Any (new grads ok)",
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        "title": "Founding Machine Learning Engineer",
        "url": "https://www.ycombinator.com/companies/novaflow/jobs/fuCpxcH-founding-machine-learning-engineer",
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        "experience": "1+ years",
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      {
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        "title": "Founding Backend Engineer",
        "url": "https://www.ycombinator.com/companies/novaflow/jobs/VbarVsf-founding-backend-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
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        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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        "id": 92550,
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        "equity_range": "",
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        "role_type": "Machine learning",
        "salary_range": "$6K - $10K / monthly",
        "equity_range": "",
        "experience": null,
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 92868,
        "title": "Growth Intern - Summer 2026",
        "url": "https://www.ycombinator.com/companies/novaflow/jobs/maQZTNQ-growth-intern-summer-2026",
        "location": "San Francisco, CA, US / Remote (US)",
        "type": "Internship",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$25 - $30 / hourly",
        "equity_range": "",
        "experience": null,
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 92462,
        "title": "Novaflow – The AI data analyst for biology labs",
        "tagline": "Accelerating scientific progress",
        "body": "We’re Aman and Amulya, and we’re building Novaflow. \n\n**TL;DR —** Bioinformatics data analysis is a time-consuming and expensive process for scientists. With Novaflow, life scientists can upload experimental data, ask questions in plain English, and get instant, publication-ready plots, giving them results in minutes instead of months. \n\n[Intro Video](https://youtu.be/uwi8N9rjCUI)\n\n### **Our Story**\n\nAman was a computational biologist and saw firsthand how his colleagues struggled to analyze their experimental results quickly due to a growing backlog of data in the lab. Despite spending over $100,000 a year on data analysis, it still wasn’t enough. He realized that using LLMs, this process can be automated away and save researchers time and money. He teamed up with his friend Amulya who was a software engineer at Zoom to bring this product to life. \n\n![uploaded image](/media/?type=post&id=92462&key=user_uploads/244146/e5819898-8cdb-480f-9c21-31590b2c7232)\n\n\n### **The problem**\n\nLife science labs generate huge datasets, but analysis is slow, expensive, and talent‑constrained:\n\n* **Expensive.** Small labs routinely spend **$100k+/year per analyst**; large labs spend millions. \n* **Talent bottleneck.** Many groups run **\\~5:1 experimentalists to analysts**, so researchers wait weeks to months for results.\n* **Dual expertise required.** Useful analysis needs **both** strong coding skills and deep biological context—most researchers only have one.\n* **Resource‑intensive + fragmented tooling.** Labs often lack scalable compute, standardization, or long‑term data management. Many are stuck with custom scripts and tools that feel **15+ years behind**.\n\n### **Our Solution**\n\nWe want to put analysis **back in the hands of researchers**:\n\n* 🧠 **LLM‑powered pipelines** that plan, generate, and run bioinformatics workflows behind the scenes\n* 📊 **Instant, publication‑ready plots** from raw CSVs, FASTQs, BAMs., and more\n* 🔍 **Natural‑language querying** (“Which genes are most differentially expressed?”)\n* 🧪 **Exportable Jupyter notebooks & reproducible Python code** for auditability and downstream tweaking\n* ♻️ **Versioned runs & provenance** so you can rerun, compare, and share analyses confidently\n\n### **How it works**\n\n1. **Upload your data + describe the experiment** (e.g., “scRNA‑seq of treated vs. control organoids”).\n2. **Novaflow infers the right workflow** (e.g., QC, normalization, clustering/UMAP for scRNA‑seq; DE for bulk RNA‑seq; peak calling + motif analysis for ATAC‑seq).\n3. **We spin up the compute, run the pipeline, and return plots**, summaries, and a notebook you can keep, rerun, or extend.\n\n### **Who this is for**\n\n* **Life scientists** blocked by slow or missing bioinformatics support\n* **Academic labs** doing genomics, transcriptomics, proteomics, etc.\n* **Biotech teams** that want to accelerate R&D with leaner headcount\n* **Clinical/diagnostic groups** using high‑throughput assays\n\n### **Our Ask**\n\n* [Book a demo](https://calendly.com/aman-novaflowapp/30min?month=2025-07) if you’re interested in seeing how Novaflow can support your lab! \n* Know a research lab, hospital, or biotech company that might benefit from Novaflow? Send us an email - we’d love an introduction! [contact@novaflowapp.com](mailto:contact@novaflowapp.com)",
        "url": "https://www.ycombinator.com/launches/O3K-novaflow-the-ai-data-analyst-for-biology-labs",
        "votes": 531,
        "created_at": "2025-07-25T21:00:30.886Z"
      }
    ]
  },
  {
    "id": 30710,
    "name": "Manufact",
    "slug": "manufact",
    "former_names": [
      "mcp-use",
      "Manufact (formerly mcp-use)"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3838f80b214ed1fcda53a2778860e8be11cfdb0d.png",
    "website": "https://manufact.com",
    "all_locations": "ZH, Switzerland",
    "long_description": "Manufact is the MCP cloud platform to get your product ready for Claude Connectors marketplace, ChatGPT / Codex plugins store and any AI agent that supports MCP.\r\nWe're the team behind mcp-use SDK, the open-source framework for building MCP Apps with 10k github stars and 10M+ downloads across python and typescript.\r\n\r\nIt's the fastest and most complete solution for production-ready MCP servers.",
    "one_liner": "Cloud infrastructure for MCP servers and Claude / ChatGPT plugins.",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1752861544,
    "tags": [
      "Developer Tools",
      "B2B",
      "Open Source",
      "Infrastructure",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2025",
    "status": "Active",
    "industries": [
      "B2B",
      "Infrastructure"
    ],
    "regions": [
      "Switzerland",
      "Europe"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/manufact",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/manufact.json",
    "year_founded": 2025,
    "city": null,
    "country": "CH",
    "linkedin_url": "https://www.linkedin.com/company/mcp-use/",
    "x_url": "https://x.com/manufact",
    "fb_url": null,
    "cb_url": null,
    "github_url": "https://github.com/mcp-use",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3838f80b214ed1fcda53a2778860e8be11cfdb0d.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Jon Xu",
      "url": "https://www.ycombinator.com/people/jon-xu"
    },
    "founders": [
      {
        "user_id": 909674,
        "full_name": "Pietro Zullo",
        "title": "Founder/CEO",
        "founder_bio": "Building Manufact (formerly mcp-use) (S25). ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/pietrozullo",
        "x_url": "https://x.com/pietrozullo",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/20b195400b407be674253b1353993e19ad6323b2.jpg"
      },
      {
        "user_id": 859771,
        "full_name": "Luigi Pederzani",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder @ Manufact (fka mcp-use). \nPrev. Founding eng. @ Morgen (ETH spin-off AI startup used by teams at Spotify, GitHub, Linear, and Canva). \nLed a 12-engineer team to deliver $XXM projects @ Accenture Switzerland.\nMSc in Computer Science and Engineering from POLIMI (QS #1 IT, #5 EU, #13 World).\nFormer YouTube creator (150k subs, 15M+ views).\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/luigipederzani",
        "x_url": "https://x.com/pederzh",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/052187b02cbea99b02766098b2c86fcf33610ec4.jpg"
      }
    ],
    "jobs": [
      {
        "id": 97959,
        "title": "Developer Advocate & Partnerships (DevRel)",
        "url": "https://www.ycombinator.com/companies/manufact/jobs/4cyWd6S-developer-advocate-partnerships-devrel",
        "location": "San Francisco, CA, US / Remote",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$100K - $160K",
        "equity_range": "0.10% - 0.70%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 97962,
        "title": "Senior Infrastructure Engineer",
        "url": "https://www.ycombinator.com/companies/manufact/jobs/Dh6PYP5-senior-infrastructure-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Devops",
        "salary_range": "$100K - $180K",
        "equity_range": "0.10% - 0.70%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Amazon Web Services (AWS)",
          "Microsoft Azure",
          "Google Cloud",
          "TypeScript"
        ]
      },
      {
        "id": 107000,
        "title": "Sales Development Representative (SDR)",
        "url": "https://www.ycombinator.com/companies/manufact/jobs/fWWRPrO-sales-development-representative-sdr",
        "location": "San Francisco, CA, US / Remote (US)",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$60K - $100K",
        "equity_range": "0.05% - 0.20%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 107005,
        "title": "Founding Software Engineer (Product / MCP) ",
        "url": "https://www.ycombinator.com/companies/manufact/jobs/ZyxwEJC-founding-software-engineer-product-mcp",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$100K - $160K",
        "equity_range": "0.10% - 1.00%",
        "experience": "1+ years",
        "visa": "Will sponsor",
        "skills": [
          "React",
          "TypeScript"
        ]
      },
      {
        "id": 116901,
        "title": "Founding Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/manufact/jobs/kp7OyFp-founding-forward-deployed-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$100K - $160K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": [
          "Python",
          "TypeScript"
        ]
      }
    ],
    "news": [
      {
        "title": "Manufact raises $6.3M as MCP becomes the ‘USB-C for AI’ powering ChatGPT and Claude apps | VentureBeat",
        "url": "https://venturebeat.com/infrastructure/manufact-raises-usd6-3m-as-mcp-becomes-the-usb-c-for-ai-powering-chatgpt-and",
        "date": "Mar 11, 2026"
      },
      {
        "title": "Make Something Agents Want — Humans Are No Longer The Customer",
        "url": "https://www.forbes.com/sites/dariashunina/2026/03/11/make-something-agents-want---humans-are-no-longer-the-customer/",
        "date": "Mar 09, 2026"
      },
      {
        "title": "The Most Promising Startups To Watch From YC Summer 2025 Batch: mcp-use",
        "url": "https://www.forbes.com/sites/dariashunina/2025/09/04/the-most-promising-startups-to-watch-from-yc-summer-2025-batch/",
        "date": "Sep 04, 2025"
      }
    ],
    "launches": [
      {
        "id": 107462,
        "title": "Manufact: MCP Cloud for your Claude Connector & ChatGPT Plugin",
        "tagline": "Get your product on Claude and ChatGPT and usable by AI Agents ",
        "body": "Hey everyone, we're the team behind [**mcp-use**](https://github.com/mcp-use/mcp-use), the open-source MCP framework with **10k GitHub stars** and **\\~10M+ downloads**.\n\n[**Manufact**](https://manufact.com/) is the cloud platform that gets your product onto the **Claude Connectors marketplace** and the **ChatGPT (Codex) Plugin Store** via MCP.\n\n<https://youtu.be/Pyh_3tKDXuU>\n\n## The problem\n\nPaul Graham recently tweeted: \"_AI apps are the new browsers_\". \\\nYour customers now do most of their work inside Claude and ChatGPT, and the connector marketplaces are a new distribution channel: someone installs your product in one click and uses it inside the chat they already live in.\n\nWe listed Manufact on Claude and saw a **surge of signups** that is still going on now.\n\n![uploaded image](/media/?type=post&id=107462&key=user_uploads/859771/65a0b3fd-75cf-4eea-a2ee-02590e3256ba)\n\nBut shipping a production-ready MCP server is its own project:\n\n* MCP is a protocol evolving fast .\n* Auth is easy to get [wrong](https://manufact.com/blog/authentication).\n* Every client behaves differently.\n* The stores have their own conformance requirements, and review can block you for weeks.\n\n## How Manufact works\n\nManufact is the cloud built specifically for MCP:\n\n* **Push to deploy.** Connect the GitHub App once and [every commit ships a new version of your MCP server](https://manufact.com/platform/hosting), with a preview deployment for each PR.\n* **Test every MCP tool and MCP-UI widget** in the [cloud inspector](https://manufact.com/platform/cloud-inspector).\n* **Know the moment your MCP breaks** in ChatGPT or Claude with [automatic cross-client testing](https://manufact.com/platform/cross-client-testing).\n* [**Publishing checklists**](https://manufact.com/platform/publishing-checks) so your MCP app doesn't get stuck in marketplace review.\n* **Auto-generated submission assets** (logo, copy, screenshots).\n* **Analytics, session replay, and traces** built in for MCP, so you can see [how it's used and why tools fail](https://manufact.com/platform/analytics).\n\n![uploaded image](/media/?type=post&id=107462&key=user_uploads/859771/ee30e016-9fb5-4958-890f-74febc54de3c)\n\n## Your product's UI inside the chat\n\nA plain MCP server lets the agent read and write your data. \\\nAn **MCP App** goes further: it's an MCP server that can return a UI as the result of a tool call, so your actual product interface renders inside Claude or ChatGPT. The user sees your charts and forms instead of a wall of text.\n\nFerruccio Balestreri (Amplitude) [put it well](https://x.com/0xferruccio/status/2028966278971670979):\n\n> since mcp ui was released in claude we got a 2x boost in retention.\n\nWith the [mcp-use SDK](https://github.com/mcp-use/mcp-use) you write a normal React component, drop it in, and it registers as an MCP UI resource automatically.\n\n## Backstory\n\nWe've been building on MCP since the protocol shipped. It started with the mcp-use SDK, the full-stack framework for MCP servers and apps. We kept watching companies struggle to take those servers to production, so we built the cloud for it (mcp-use is to Manufact what Next.js is to Vercel).\n\nManufact is now the **#1 recommended deployment option in OpenAI's docs.** \n\n![uploaded image](/media/?type=post&id=107462&key=user_uploads/859771/ddba2350-67c4-43d5-8150-30847d4375a2)\n\nWe've helped startups from recent YC batches like **AgentMail** and **Item** get onto the Claude Connectors marketplace, and larger companies in finance, insurance, and marketplaces run their MCP apps on Manufact in production.\n\n## Our asks\n\n1. Have an MCP server? **Deploy it on [Manufact](https://manufact.com/)**.\n2. Thinking about building an MCP App? [Copy our prompt for agents](https://manufact.com/prompt.md) and your coding agent will guide you.\n3. Trying to get listed on the marketplaces? [Book a call with us](https://cal.com/team/manufact/chat). We have publishing checks and direct contacts on the MCP teams at Anthropic and OpenAI.\n\nHope to see your MCP on [manufact.com](http://manufact.com), or that you at least learned something new. 🙂\n\n![uploaded image](/media/?type=post&id=107462&key=user_uploads/859771/685643a6-ecd5-42b4-b55f-ec394967ca57)\n\n",
        "url": "https://www.ycombinator.com/launches/RxG-manufact-mcp-cloud-for-your-claude-connector-chatgpt-plugin",
        "votes": 47,
        "created_at": "2026-07-28T14:55:15.055Z"
      },
      {
        "id": 92418,
        "title": "Manufact (mcp-use) - Build and deploy MCP Servers for AI Agents & MCP Apps for ChatGPT / Claude users",
        "tagline": "Create MCP servers/apps in minutes, connect your GitHub repo, and make them immediately available to AI agents and ChatGPT / Claude.",
        "body": "### **TL;DR**\n\n[Manufact](https://manufact.com) is the MCP cloud for dev teams to ship MCP Apps and Servers in production. Connect a GitHub repo and Manufact handles deployment, security, observability, and scaling, so teams can ship in minutes instead of weeks.\n\nOne codebase, deployed everywhere users and agents already live: the ChatGPT Apps Store, Claude Connectors, Gemini, Cursor, Claude Code, and more.\n\nWe're also the creators of [mcp-use SDK](https://github.com/mcp-use/mcp-use), the most popular high-level MCP framework for building MCP Apps and Servers.\\\n(mcp-use SDK is to the Model Context Protocol SDKs what Next.js is to React!)\n\nIt’s open-source and used by developers at 20% of US500 and companies like 6sense, Elastic, IBM, Innovacer, Intuit, NVIDIA, Oracle, Red Hat, Tavily, and Verizon are building with us.\n\n### **The ask**\n\nIf you're building MCP Apps or Servers, or you know someone who is, we'd love to talk.\n\n<https://cal.com/team/manufact/chat> \\\nor shoot a message to us: +1 (628) 899-2498 \\\nor [founders@manufact.com](mailto:founders@manufact.com)\n\n### **Our story**\n\nWhen MCP came out, we couldn't believe such a powerful protocol was locked into IDEs and Claude Desktop.\n\nSo we built mcp-use, the open source framework that lets any developer build MCP Apps and Servers in code, in a structured and composable way.\n\nIt got adopted fast: 7M+ downloads across Python and TypeScript, almost 10k GitHub stars, and dev teams at top companies shipping with it.\n\nBut OSS is only half the story. Once teams had something working, they hit the wall every infra team knows: deployment, auth, secrets, observability, scaling. Stitching that together for MCP is a multi-week project. That's what Manufact solves.\n\n### **Make something agents want**\n\nMCP unlocks something most products have never had access to before: real estate inside ChatGPT and Claude.\n\n800M+ users already spend their day in those chats. \\\nWith MCP, a product can show up there as a native app or connector, with no separate UI to build, no app to install, no new login flow. \\\nThe user just asks, and your product does the work.\n\n### **Problem**\n\nThe catch is that \"build once, ship everywhere\" is its own infra problem. ChatGPT Apps, Claude Connectors, Gemini, and the long tail of agent surfaces (Cursor, Claude Code, Codex, OpenAI Agents, Mastra, LangChain, Vercel AI SDK) each have their own quirks, auth flows, and submission requirements. Manufact lets you build one codebase and ship it to all of them.\n\n### **What Manufact does**\n\nConnect your MCP repo once. Every push auto-deploys.\n\n1. **Build:** Scaffold a full MCP App or Server with _npx create-mcp-use-app_ or drop in existing MCP code unchanged.\n2. **Deploy:** GitHub App connects once. Every push auto-deploys to Manufact Cloud. Preview URL per branch. Custom domains with SSL handled.\n3. **Publish.** Get your app in front of users in the ChatGPT Apps Store and Claude Connectors. Submission assets, marketplace checklists, and an embeddable chat widget for your own site, docs, or campaign pages.\n4. **Iterate.** Cloud Inspector debugs from any browser against real clients. Swap models. Run evals on every deploy.\n5. **Monitor.** Analytics, session replay, JSON-RPC traces, and alerts on regressions, so you catch issues before users do. Less than 60 seconds from _git push_ to a live MCP App or Server, available across ChatGPT, Claude, Gemini, and any agent surface that speaks MCP.\n\n### **Ask**\n\nDo you know anyone already using MCP servers internally or building products powered by AI agents?\n\nFor the first few companies we will personally create/integrate MCP servers you need, have everything running through our platform, either on cloud or your own infrastructure. We even help you integrate our SDK into your code.\n\nWhat do you think? Can we help you?\n\nBook a call: <https://cal.com/team/manufact/chat>\n\nShoot a message to us: +1 (628) 899-2498 or [founders@manufact.com](mailto:founders@manufact.com)",
        "url": "https://www.ycombinator.com/launches/O2c-manufact-mcp-use-build-and-deploy-mcp-servers-for-ai-agents-mcp-apps-for-chatgpt-claude-users",
        "votes": 85,
        "created_at": "2025-07-24T17:55:36.172Z"
      }
    ]
  },
  {
    "id": 30712,
    "name": "Relling",
    "slug": "relling",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e003594279b3a4474845b643ff2ee16c26f34a1a.png",
    "website": "https://relling.co",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "",
    "one_liner": "deploying the first billion robots for manufacturing",
    "team_size": null,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1756070413,
    "tags": [
      "Robotics",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2025",
    "status": "Active",
    "industries": [
      "B2B",
      "Infrastructure"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/relling",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/relling.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/107829108/",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e003594279b3a4474845b643ff2ee16c26f34a1a.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
    },
    "founders": [
      {
        "user_id": 2707563,
        "full_name": "Anya Singh",
        "title": "Founder/CTO",
        "founder_bio": "chess player",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/anya-singh/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/180178bdbd6050c5bf36936482b695846168c79a.jpg"
      }
    ],
    "jobs": [
      {
        "id": 95370,
        "title": "Robot Learning Engineer",
        "url": "https://www.ycombinator.com/companies/relling/jobs/iQ4YH9e-robot-learning-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Robotics",
        "salary_range": "$120K - $170K",
        "equity_range": "0.10% - 0.30%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 95371,
        "title": "Partnerships Lead, Specialty Manufacturing",
        "url": "https://www.ycombinator.com/companies/relling/jobs/U34pXE8-partnerships-lead-specialty-manufacturing",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$120K - $170K",
        "equity_range": "0.10% - 0.30%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 97830,
        "title": "Business Operations Intern",
        "url": "https://www.ycombinator.com/companies/relling/jobs/ZFJwHfg-business-operations-intern",
        "location": "San Francisco, CA, US",
        "type": "Internship",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$20 - $100 / hourly",
        "equity_range": "",
        "experience": null,
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 99957,
        "title": "Software Engineer Intern",
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        "location": "San Francisco, CA, US",
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    "name": "Autumn",
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    "website": "https://autumn.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Autumn builds research agents that answer questions about people and companies at scale. These AI agents are powered by a live index of over 1 billion people, 100 million companies, and state-of-the-art web research tools. Autumn is already in production with enterprise teams at Brex, Rippling, PostHog across sourcing, enrichment, and identity-verification workflows.\r\n\r\nWe are a small, highly-technical team. Our vision is to be the search engine that agents use when they need to understand people, their networks, and professional lives.",
    "one_liner": "The people-intelligence company.",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
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    "country": "US",
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        "full_name": "Vishnu Sampathkumar",
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        "founder_bio": "Co-founder, CEO @ Autumn AI (W26)",
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        "linkedin_url": "https://www.linkedin.com/in/vishnu-sampathkumar/",
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        "full_name": "Shiv Kampani",
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        "founder_bio": "Co-founder, CTO @ Autumn",
        "is_active": true,
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        "title": "Harness Lead",
        "url": "https://www.ycombinator.com/companies/autumn-ai/jobs/gj5dGt0-harness-lead",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "AI engineer",
        "salary_range": "$140K - $220K",
        "equity_range": "1.00% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
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        "id": 116934,
        "title": "Search Lead",
        "url": "https://www.ycombinator.com/companies/autumn-ai/jobs/Zwr7HGy-search-lead",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$180K - $300K",
        "equity_range": "1.00% - 3.00%",
        "experience": "1+ years",
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        "title": "Founding Growth",
        "url": "https://www.ycombinator.com/companies/autumn-ai/jobs/YOGxz3Z-founding-growth",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
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        "equity_range": "0.20% - 0.70%",
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        "id": 97547,
        "title": "Autumn AI: Stalk your prospects at scale.",
        "tagline": "Autumn is building the first real-time signal intelligence platform for GTM teams.",
        "body": "Hi, we’re Vishnu and Shiv, and we’re super excited to introduce Autumn! \n\n**Tl;dr.** GTM teams waste hours manually tracking prospects across the internet. Autumn gives you a live feed of your entire target universe, so you're always first to know and first to act.\n\n<https://youtu.be/v37JMhX8GVc>\n\n**The problem.** Your best prospects are already telling you when and how to sell to them through posts, tweets, commits, blogs. These signals are valuable but decay fast. To catch signals in real time, you'd need to monitor dozens of sources per person, synthesize unstructured content across platforms, and surface intent the moment it appears. This is tedious for one prospect; imagine trying a few thousand.\n\n**The solution.** Autumn tracks your prospects across the internet, at scale. Define your ICP and the signals that matter, and we deliver a condensed, real-time feed filtered by intents. Connect to email or Slack and get notified the moment a target prospect's behavior matches. Here are some workflows that Autumn is optimized for:\n\n* **Incorporation prospecting:** Surface new startup founders as soon as they incorporate their companies and track early signals around banking, payroll, ML infra.\n* **Enterprise account monitoring:** Build org trees and track entire departments within target accounts to see buying signals emerge across the org. \n* **Conference prep:** Monitor attendee lists ahead of events and prioritize outreach to the people already showing interest in what you sell.\n\n![uploaded image](/media/?type=post&id=97547&key=user_uploads/2663239/08071f20-30cb-4045-88e4-078e13e9a1a4)\n\n**The team.** We met on the first day of orientation at Columbia and we've been best friends ever since. Shiv is an AI researcher who presented at NeurIPS after a research stint with SandboxAQ. Vishnu built sourcing tech for VC firm Sierra Ventures and worked as an ML engineer for Modulus, an AI security startup.\n\n**Our ask.** If you’re a founder or GTM leader interested in prospect tracking at scale, we’d love to talk to you. Feel free to book a time on our [Calendly](http://calendly.com/founders-autumnai/30min-1) or email us at [founders@autumnai.com](mailto:founders@autumnai.com).",
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        "created_at": "2026-02-05T18:35:28.767Z"
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    "id": 30716,
    "name": "Finto",
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    "website": "https://www.gofinto.com/",
    "all_locations": "Munich, BY, Germany",
    "long_description": "Finto builds AI accounting software for enterprise finance teams. We automate the invoice-to-pay process from their email inbox to their ERP. Cutting out 80% of the accountants daily work in invoice recording, account coding and  invoice approvals.",
    "one_liner": "AI accounting for enterprise finance teams",
    "team_size": 10,
    "industry": "B2B",
    "subindustry": "B2B -> Finance and Accounting",
    "launched_at": 1751218179,
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    "regions": [
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    "stage": "Early",
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        "answer": "We all combine deep domain expertise in mid-market and enterprise workflow automation. \r\n\r\nLorenz and Jonas worked together for 4+ years at TradeLink (SCM-SaaS backed by Point Nine, Insight), accompanying the path from 0 to product-market fit. Lorenz led Product; Jonas led Go-to-Market. Both quit their leadership roles to found Finto. \r\n\r\nKnowing each other from the Munich startup scene, Linus joined as Co-Founder & CTO. He was previously an early tech lead at Tacto (Procurement SaaS backed by Sequoia, Index), helping scale it from pre-seed to one of Europe’s largest Series A rounds in mid-market SaaS."
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      {
        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "Enterprises with complex vendor supply chains produce vast amounts of incoming vendor invoices each year. A typical **mid-market enterprise processes \\~100k incoming invoices** **yearly**, and today, an accountant tops out at \\~10-20k invoices per year because the real grind is still manual: \r\n\r\n* Key-stroking invoice data to the ERP\r\n* Manual invoice review and compliance checks\r\n* Manual managing deviations with purchase orders\r\n* Manual allocate ledger accounts and cost center codes\r\n* Chasing approvals. That’s why enterprises still staff large accounting teams - or ship the work to shared-service centers."
      },
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        "answer": "AI will write the final chapter of accounting software. What once required teams, training, and manual effort now happens in real-time - intelligently, autonomously, and at scale through agents. \r\n\r\nFinto is our contribution to this future. As AI agents become capable of understanding context, learning from company-specific data, and executing complex workflows, entire job profiles will shift away from manual execution. With its predictable but intricate schemes, accounting is poised to be one of the first areas transformed. \r\n\r\nDoubling down on our domain expertise, we are on a mission to **take the manual out of accounting**."
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        "full_name": "Jonas Morgner",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder & CEO of Finto, building AI Accounting agents for enterprise finance teams.\n",
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        "linkedin_url": "https://www.linkedin.com/in/jonasmorgner/",
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        "full_name": "Linus Boehm",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder & CTO of Finto, building AI Accounting agents for enterprise finance teams.\nFormer Engineering Lead @ Tacto - the intelligent procurement engine for enterprises.   Raised a $55M Series-A from Sequoia and Index. Started there as first full time employee.",
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        "user_id": 2140494,
        "full_name": "Lorenz Neuner",
        "title": "Founder/CPO",
        "founder_bio": "Co-Founder & CPO of Finto, building AI Accounting agents for enterprise finance teams.\nFormer Product Lead @ TradeLink - a supply chain management software for enterprises. Raised $15M from Insight Partners and Point Nine. Started among the first employees.",
        "is_active": true,
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        "title": "Product Engineer",
        "url": "https://www.ycombinator.com/companies/finto-de/jobs/zgep090-product-engineer",
        "location": "Munich, BY, DE / Munich, Bavaria, DE",
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        "role_type": "Full stack",
        "salary_range": "€60K - €130K EUR",
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        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": [
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        "title": "(Senior) Solution Engineer",
        "url": "https://www.ycombinator.com/companies/finto-de/jobs/9rF94y6-senior-solution-engineer",
        "location": "Munich, BY, DE / Munich, Bavaria, DE",
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      {
        "id": 92119,
        "title": "Finto - AI Accounting for Enterprises",
        "tagline": "The AI accounting software for enterprise finance teams",
        "body": "**Finto - AI Accounting for Enterprises**\n\nhttps://www.youtube.com/watch?v=otqOvfepgKQ\n\n**TL;DR**\n\nFinto builds an AI accounting software for enterprise finance teams. We automate the invoice-to-pay process from their email inbox to their ERP including invoice handling, supplier communication, 3-way matching, and ERP data entry.\n\n**Problem**\n\nEnterprises with complex vendor supply chains produce vast amounts of incoming vendor invoices each year. A typical **mid-market enterprise processes \\~100k incoming invoices** **yearly**, and today’s legacy tools force accountants to top out at a fraction of the volume: Real manual grunt work still remains:\n\n* Handling hundreds of mails and documents a day\n* Key-stroking invoice data to the ERP\n* Manual invoices checks and account coding\n* Manual managing deviations with purchase orders\n* Chasing approvals\n\nThat’s why enterprises still staff large accounting teams - or ship the work to shared-service centers. Our mission is to free the world’s finance teams from repetitive, low-value tasks so they can focus on impactful work. That starts with building a place where everyone can do their best work.\n\n**Solution**\n\nWe build a platform embedding AI agents to automate the end-to-end invoice-to-pay cycle:\n\n1. **Classify** inbox documents (invoice, receipts, reminder)\n2. **Read** invoices at **99%+ accuracy** - even on line item level\n3. **Check** on vendor, tax, bank, and compliance data\n4. **Email vendors** automatically if something’s off\n5. **Understand & code** ledger, cost-center or project numbers\n6. **Three-Way-Match** invoice orders with POs and GRs\n7. **Collect** **&** **chase** required approvals\n8. **Post to ERP**\n\n**Team**\n\n![uploaded image](/media/?type=post&id=92119&key=user_uploads/517834/3c1f90e4-a068-4456-9e57-cdc10fe024d3)\n\nWe combine deep domain expertise in enterprise workflow automation. \n\n[Lorenz](https://www.linkedin.com/in/lorenz-neuner/) and [Jonas](https://www.linkedin.com/in/jonasmorgner/) worked together for 4+ years at TradeLink (European Logistics-SaaS backed by Point Nine, Insight Partners), accompanying the path from 0 to product-market fit. Lorenz led Product; Jonas led Go-to-Market. Both quit their leadership roles to found Finto. \n\nKnowing each other from the Munich startup scene, [Linus](https://www.linkedin.com/in/linus-boehm/) joined as Co-Founder & CTO. He was previously an early tech lead at Tacto (Procurement-SaaS backed by Sequoia, Index), helping scale it from pre-seed to one of Europe’s largest Series A rounds in mid-market SaaS.\n\n**CTA**\n\nYou’re interested in our product? [Book your demo here](https://www.finto.de/request-demo).\n\nIf you know a CFO or accounting leader, we are eager to help them make their process more efficient - please reach out: [jonasm@finto.de](mailto:jonasm@finto.de)\n\nFollow us on [LinkedIn](https://www.linkedin.com/company/fintoai/) or visit our [website](https://www.finto.de/).",
        "url": "https://www.ycombinator.com/launches/Nxn-finto-ai-accounting-for-enterprises",
        "votes": 250,
        "created_at": "2025-07-14T17:08:56.135Z"
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    "id": 30719,
    "name": "ProcIndex",
    "slug": "procindex",
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    "website": "https://procindex.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "ProcIndex uses AI to automate accounting operations for the construction and manufacturing sectors.\r\n\r\nIt connects to your existing ERP and operates in the background while giving you full visibility into its actions. By automating accounts payable, accounts receivable, reconciliation, and vendor management, ProcIndex helps accounting teams improve efficiency by 33%.",
    "one_liner": "AI-powered accounting automation for construction and manufacturing",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Finance and Accounting",
    "launched_at": 1753405058,
    "tags": [
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    "isHiring": true,
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    "batch": "Summer 2025",
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    "regions": [
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    "country": "US",
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        "full_name": "Neha Suresh",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder & CEO @Procindex | Engineer | Builder | Early Zoho Books | CMU alum\n\nCMU alum, previously led engineering at Zoho where I helped build the accounting platform for the Middle Eastern & Indian markets. \nFounding engineering team @Zoho Books India\n",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/nehasuresh1904",
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        "user_id": 605060,
        "full_name": "Akash Thakur",
        "title": "Founder/CTO",
        "founder_bio": "Building Procindex | Ex-Apple",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/akashthakur1203",
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    "jobs": [
      {
        "id": 92622,
        "title": "Software engineer - 2",
        "url": "https://www.ycombinator.com/companies/procindex/jobs/n9LdkKd-software-engineer-2",
        "location": "IN / Remote (IN)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "₹1.5M - ₹2M INR",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "Y Combinator S25: The Full Batch - by Ollie Forsyth",
        "url": "https://www.neweconomies.co/p/ycstartups2025",
        "date": "Sep 08, 2025"
      },
      {
        "title": "The Most Promising Startups To Watch From YC Summer 2025 Batch",
        "url": "https://www.forbes.com/sites/dariashunina/2025/09/04/the-most-promising-startups-to-watch-from-yc-summer-2025-batch/",
        "date": "Sep 04, 2025"
      }
    ],
    "launches": []
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    "id": 30723,
    "name": "Miso Labs",
    "slug": "miso-labs",
    "former_names": [
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      "Dalta Labs"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8dd28df9a99151aedfe26a296d8e112af2bf4edb.png",
    "website": "https://misolabs.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Miso Labs is building the world’s most emotive foundation models for voice. Our goal is to pass the voice Turing test.",
    "one_liner": "Emotive foundation voice models",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1780176393,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
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      "Infrastructure"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/miso-labs",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/miso-labs.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/108252929/admin/dashboard/",
    "x_url": "https://x.com/MisoLabsAI",
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    "primary_partner": {
      "name": "Harj Taggar",
      "url": "https://www.ycombinator.com/people/harj-taggar"
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    "founders": [
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        "user_id": 2331815,
        "full_name": "Cassidy Dalva",
        "title": "Founder/CEO",
        "founder_bio": "co-founder @ miso labs | stanford alum",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/cassidydalva/",
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    "jobs": [
      {
        "id": 107795,
        "title": "Data Operations Lead (Voice Data)",
        "url": "https://www.ycombinator.com/companies/miso-labs/jobs/yr4vHp9-data-operations-lead-voice-data",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$200K",
        "equity_range": "0.50%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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    "launches": [
      {
        "id": 102518,
        "title": "Miso Labs - emotive voice models",
        "tagline": "Building the most emotive voice AI models",
        "body": "Today, we’re excited to introduce **Miso One, the most emotive voice model in the world.**\n\nMiso One is an 8-billion-parameter text-to-speech model for highly expressive speech generation. It emotes like a human and responds faster than a human, with just 110 milliseconds of latency.\n\nWe’ve open-sourced the model weights, with API access coming soon.\\\n\\\n[**https://www.youtube.com/watch?v=HizlJgDbac8**](https://www.youtube.com/watch?v=HizlJgDbac8)\n\nAll of these voiceovers were generated by Miso One!\n\n[**https://www.youtube.com/watch?v=QX6a_lUdwC8**](https://www.youtube.com/watch?v=QX6a_lUdwC8)\n\n[**https://www.youtube.com/watch?v=ywH2C4LKu9E**](https://www.youtube.com/watch?v=ywH2C4LKu9E)\n\n[**https://www.youtube.com/shorts/jTLNoUH85iY**](https://www.youtube.com/shorts/jTLNoUH85iY)\\\n\\\n**_Our ask:_**\\\nCheck out our repository and give us a star!\n\n[**https://github.com/MisoLabsAI/MisoTTS**](https://github.com/MisoLabsAI/MisoTTS)\n\nYou can also test out the model directly at [**misolabs.ai**](http://misolabs.ai).",
        "url": "https://www.ycombinator.com/launches/QfW-miso-labs-emotive-voice-models",
        "votes": 20,
        "created_at": "2026-06-03T17:54:30.376Z"
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  {
    "id": 30726,
    "name": "Socratix AI",
    "slug": "socratix-ai",
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      "Socratix AI, Inc"
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    "website": "https://getsocratix.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Socratix builds AI coworkers for fraud and compliance teams so that humans don't have to spend their days drowning in alerts and spreadsheets.\r\n\r\nToday, fraud and risk teams at fintechs and banks are overwhelmed. Analysts jump between tools, manually stitch together context, and make judgment calls under pressure, often for hundreds of alerts a week. Too much of their work is slow, repetitive, and error-prone. We're here to change that. \r\n\r\nSocratix gives fraud and risk teams AI coworkers that investigate alerts in real time, replacing manual reviews with fast, explainable decisions. Socratix agents plug into existing workflows and reason across signals just like human analysts to help teams reduce fraud losses, minimize false positives, and scale operations without scaling headcount.\r\n\r\nWe've seen this problem firsthand. At DoorDash, Riya helped save $30M+ a year by building smarter fraud detection and investigation tooling, and at Unit21, she built products for analysts that made them 3X faster. We're able to build and sell enterprise-grade software. At Cruise, Satya built scalable AI systems powering petabyte-scale data, and at LinkedIn, he built enterprise products from 0 to 1 generating $50M+ in incremental revenue. Now, the two of us are teaming up to eliminate the manual toil in fraud and compliance.\r\n\r\nWe're obsessed with fraud, LLMs, real-world automation, and the messy edge cases traditional ML has trouble handling. We believe that every fraud analyst should have an AI coworker - and the future of fraud will involve combining human-level reasoning with machine-speed execution. ",
    "one_liner": "AI coworkers for fraud and compliance teams.",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1752778488,
    "tags": [],
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2025",
    "status": "Active",
    "industries": [
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      "Operations"
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    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/socratix-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/socratix-ai.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/socratix-ai/",
    "x_url": "https://x.com/getsocratix",
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    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
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    "founders": [
      {
        "user_id": 644801,
        "full_name": "Riya Jagetia",
        "title": "Founder/CEO",
        "founder_bio": "I studied CS at MIT and previously built AI agents for investigations, ML models, real-time monitoring, and anomaly detection for fraud teams at DoorDash and Unit21. Now, I'm building AI coworkers for fraud and risk teams that combine human-level reasoning with machine-speed execution.\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/riya-jagetia/",
        "x_url": "https://twitter.com/RiyaJagetia",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9be64f5470128775f3e9a7d8a3c93986d3edf089.jpg"
      },
      {
        "user_id": 432152,
        "full_name": "Satya Vasanth Tumati",
        "title": "Founder/CTO",
        "founder_bio": "Passionate about applying AI to solve complex but boring real-world problems. Now, building the future of AI powered fraud and risk operations at Socratix.\nPreviously built petabyte scale search and mining systems at Cruise and built some of Linkedin's enterprise marketing products from scratch generating $50M incrementally. Studied CS at UCLA, IIT Hyd",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/satya-vasanth/",
        "x_url": "https://x.com/SirWitWit",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d20ce477bdbfe776d56d16eec596eccf5caeaf2b.jpg"
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    "jobs": [
      {
        "id": 109806,
        "title": "Member of Technical Staff, AI Agents",
        "url": "https://www.ycombinator.com/companies/socratix-ai/jobs/JtqwNF7-member-of-technical-staff-ai-agents",
        "location": "Mountain View, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$150K - $200K",
        "equity_range": "0.50% - 1.50%",
        "experience": "1+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 113369,
        "title": "Founding GTM Lead, AI Agents",
        "url": "https://www.ycombinator.com/companies/socratix-ai/jobs/USMvlll-founding-gtm-lead-ai-agents",
        "location": "Mountain View, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$120K - $140K",
        "equity_range": "0.05% - 0.20%",
        "experience": "1+ years",
        "visa": "Will sponsor",
        "skills": []
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    "launches": [
      {
        "id": 92776,
        "title": "Socratix AI: AI Coworkers for Fraud and Risk Teams",
        "tagline": "Socratix provides AI agents that function like fraud and risk analysts - only faster, cheaper, and always-on.",
        "body": "Hi everyone,\\\nWe’re [Riya](https://www.linkedin.com/in/riya-jagetia/) & [Satya](https://www.linkedin.com/in/satya-vasanth/) - the co-founders of [Socratix AI](http://getsocratix.ai/). We’re building AI coworkers for fraud and risk teams so that people don't have to spend their days drowning in alerts and spreadsheets.\n\nhttps://www.youtube.com/watch?v=_-ds8g2SgIg\n\n# ❌ **The Problem:**\n\nToday, fraud and risk teams at fintechs and banks are overwhelmed. They're reviewing **hundreds of alerts per week** - jumping between tools, manually gathering context, and making tough judgment calls under pressure.\n\nThe work is **repetitive, slow, and prone to error**. Hiring more analysts is slow and expensive. Meanwhile, fraudsters are creative, constantly evolving their tactics to bypass static rules and outdated ML models.\n\nThe result: overwhelmed teams, blocked good users, and missed real threats.\n\n# ✅ **The Solution:**\n\nSocratix gives fraud and risk teams AI coworkers - **agents that think like human analysts but operate 24/7 and scale effortlessly.**\n\nOur agents plug into existing tools and workflows to:\n\n* Ingest alerts\n* Pull rich context (accounts, devices, behaviors, history)\n* Assess risk using past cases and SOPs\n* Auto-close false positives\n* Escalate high-risk cases with clear rationale and next steps\n\nThe result is fewer fraud losses, reduced false positives, and better customer experiences - all without scaling headcount.\n\n# [**👬**](https://emojipedia.org/men-holding-hands) **The Team:**\n\n![uploaded image](/media/?type=post&id=92776&key=user_uploads/644801/f528f61b-67b4-4a51-95b0-970e85b4e13c)\n\nWe’ve seen this problem up close, and we’ve felt both sides: the manual pain of fraud operations and the transformative power of autonomous AI.\n\nRiya (CEO) previously led the development of AI/ML fraud detection and investigation tools at DoorDash and Unit21, helping prevent tens of millions of dollars in fraud losses and making analysts 3X more efficient. She holds a Computer Science degree from MIT.\n\nSatya (CTO) previously built enterprise-grade AI/ML systems for real-world autonomy - most recently at Cruise. He has worked with ML and software engineering his entire career. He holds a Computer Science degree from IIT and a Master’s in Computer Science from UCLA.\n\nWe’ve been in the trenches - stitching together context across messy tools, triaging endless alerts, and scrambling to keep up with evolving threats. **Now, we’re teaming up to** **bring autonomous AI to fraud and risk - and eliminate the manual toil for good.**\n\n# **🙏 Our Ask:**\n\nIf you’re a fintech, marketplace, or financial institution drowning in fraud ops, alert fatigue, or growing backlogs - we’d love to help. Whether you’re rebuilding your fraud stack, struggling with your false positives, or curious about AI agents for your workflows, we’d love to share what we’re seeing in the space and show you a demo! \\\n\\\n👉 Contact us at [riya@getsocratix.ai](https://mailto:riya@getsocratix.ai) and [satya@getsocratix.ai](https://mailto:satya@getsocratix.ai)\n\n🕐 Book a time [here](https://calendly.com/riya-getsocratix/30min)",
        "url": "https://www.ycombinator.com/launches/O8O-socratix-ai-ai-coworkers-for-fraud-and-risk-teams",
        "votes": 16,
        "created_at": "2025-08-06T16:56:52.508Z"
      }
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  {
    "id": 30728,
    "name": "OS3",
    "slug": "os3",
    "former_names": [
      "Observee"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/bd88161755dbb4d7513a2dc91e69b26930313524.png",
    "website": "https://os3robotics.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "OS3 is building the platform that makes intelligent robots accessible to every business.\r\n\r\nToday, robotics is constrained by two fundamental bottlenecks: hardware is too expensive to deploy at scale, and robots are difficult to train because high-quality robotics data is scarce and costly to collect. \r\n\r\nWe built OS3 to solve both.\r\n\r\nOur two-person team designed and a US-made mobile humanoid robot for a fraction of the cost of commercial alternatives. On the intelligence side, instead of relying on expensive robot-generated training data, we trained our own video-action model on 150,000 hours of real-world video spanning more than 2,000 tasks. Every deployed robot feeds new experience into our reinforcement learning pipeline, self improving robot fleet over time.\r\n\r\nThis creates a robot that can be deployed across industries to automate repetitive, physical work without requiring a new robot or training pipeline for every task. Our robots are already deployed in hotels, with customers now expanding the platform into biotech, hospitals, and data centers, including a wet lab at Stanford.\r\n\r\nOur mission is to do for robotics what Apple did for personal computing: take technology that was once expensive, specialized, and inaccessible and make it powerful and usable at massive scale. We’re building toward a world with billions of intelligent robots, and OS3 is the platform that makes that possible.",
    "one_liner": "Affordable, intelligent humanoid robots built to deploy at scale",
    "team_size": 2,
    "industry": "Industrials",
    "subindustry": "Industrials -> Manufacturing and Robotics",
    "launched_at": 1753297896,
    "tags": [
      "Hardware",
      "Robotics",
      "B2B",
      "AI"
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    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
    "industries": [
      "Industrials",
      "Manufacturing and Robotics"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/os3",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/os3.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/os3",
    "x_url": "https://x.com/os3robotics",
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    "primary_partner": {
      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
    },
    "founders": [
      {
        "user_id": 1427209,
        "full_name": "Rishabh Chanana",
        "title": "Founder",
        "founder_bio": "Built a computer at 10. First line of code at 12. Built & programmed a robot at 17.\n\nGrad School at UCSD, Robotics & AI. NLP research with Harvard and Georgia Tech. Trained LLMs at ServiceNow & built patented ML systems.\n\nNow soldering and training robots at OS3.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/risos8200/",
        "x_url": "https://x.com/risos8200",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5ef6e03c90f9e979491f4a8676962acf0df0db05.jpg"
      },
      {
        "user_id": 1909563,
        "full_name": "Chris Hailey",
        "title": "Founder",
        "founder_bio": "Co-Founder at OS3. Ex-Coinbase software engineer on the asset addition team, generated over $19 billion of trading volume. Turned a YC hackathon winning project into a $10K MRR idea. Undergrad CS from USC with Presidential Merit scholarship. Serial marathon runner, most recently completed the 2025 Oakland Marathon in 3 hours 12 minutes.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/chrishailey8",
        "x_url": "https://x.com/realChrisHailey",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8ef8f471703ec1718bd79c1c35df1da5a33528f6.jpg"
      }
    ],
    "jobs": [
      {
        "id": 100908,
        "title": "Mechanical Design Engineer - Robot Parts & Enclosures (Contract)",
        "url": "https://www.ycombinator.com/companies/os3/jobs/r2aKeWa-mechanical-design-engineer-robot-parts-enclosures-contract",
        "location": "San Francisco, CA, US / Remote (IN)",
        "type": "Contract",
        "role": "Engineering",
        "role_type": "Hardware",
        "salary_range": "₹360K - ₹800K INR",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
        "skills": [
          "CAD Design"
        ]
      }
    ],
    "news": [
      {
        "title": "Meet The YC Startups Betting On What Comes Next",
        "url": "https://www.forbes.com/sites/dariashunina/2026/09/03/meet-the-yc-startups-betting-on-what-comes-next/",
        "date": "Sep 03, 2026"
      }
    ],
    "launches": [
      {
        "id": 110139,
        "title": "OS3: Intelligence and Machines for Physical Labor",
        "tagline": "Semi-humanoid hardware & Model based on 150k hours of Videos. Preorders Live Now",
        "body": "**TL;DR: OS3 is building semi-humanoid robots for physical labor. Our first robot, H.A.L.E 1.0, is built for everyday human tasks, and our first model is based on 2,000+ distinct real-world tasks and 150,000 hours of video data. We are opening up pre-orders to all with shipments starting this Fall.**\n\n**Physical AI Problem:**\n\nA lot of teams and businesses want to build and deploy in the robotics space. But they have to source parts or buy hardware from different vendors. Furthermore, the recent import ban makes it even harder for beginners and startups to use the latest hardware, unless they are willing to spend tens of thousands of dollars. Post hardware, constant data collection is needed to adapt open or closed-source models to the ever changing hardware choices. In other words, everyone keeps reinventing the same wheel of modern robotics development over and over again. \n\n**Our solution:**\n\n[**Video Link**](https://youtu.be/dDwaQbZYPLQ)\n\nWe built OS3: Both the hardware from ground up and the model to control the hardware. Our first robot, H.A.L.E. 1.0 (Human Aligned Life Enhancing), is designed to handle a wide range of everyday physical tasks, and we are presenting the prototype unit today.\n\nOur goal is towards pushing American robotics forward while ensuring the state of the art is available to all. \n\n**Hardware and Model:** \n\nIt features a bimanual embodiment with an omni-directional base, full height control to pick up objects directly from the ground while being able to reach top shelves, and a battery that can last a whole work day. Additionally, our design is primarily focused on safety and user-friendliness; a person can start and stop a task at just the touch of a screen on the back of the robot or a mobile app. \n\nThe intelligence layer is a two system architecture, with a high level planner layer and a lower level execution layer. The model has been trained on 150,000 hours of video data spanning over 2,000 real world tasks. Technical report coming soon, once evaluation runs finish. Hardware specs and engineering deep dive posted on our website.  \n\n**Preorders Live now** \n\nShipments begin Fall 2026.\n\nOur strong supply chain enables us to make our first low-cost robot starting at just under $10k for businesses to deploy (available in private beta now) and under $15k for developers to experiment with. We are already working with hospitality providers and biotech companies to deploy our robots. \n\n[**Order Link**](https://os3robotics.com/deploy/)**: 99 dollars deposit fully refundable**\n\nWe are also working on our own custom actuators right now, enabling even higher payload for our robots. Happy to discuss more if your business involves such use cases.\n\n**Talk to us:** [hi@os3robotics.com](mailto:hi@os3robotics.com) or book some time [here](https://cal.com/os3robotics/bf?overlayCalendar=true). ",
        "url": "https://www.ycombinator.com/launches/SeR-os3-intelligence-and-machines-for-physical-labor",
        "votes": 7,
        "created_at": "2026-08-11T19:00:00.126Z"
      }
    ]
  },
  {
    "id": 30729,
    "name": "Floot",
    "slug": "floot",
    "former_names": [
      "Combini"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1f34cf0cf02c3e2059e48082daf0ddc693722515.png",
    "website": "https://floot.com",
    "all_locations": "San Francisco, CA, USA",
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    "team_size": 4,
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        "full_name": "Yujian Yao",
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        "founder_bio": "Yujian was a staff engineer at Retool where he rebuilt the entire Retool runtime powering every Retool app. Before that, he was an early engineer at Asana. He’s also a gold medalist in National Olympiad Informatics, Singapore.",
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        "title": "Founding Full-Stack Engineer",
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        "id": 112249,
        "title": "Floot - build and run your app with ChatGPT and Claude. No AI credits needed.",
        "tagline": "Floot gives your agent a place to write, test, and ship code - you never touch git, local files, or a thousand vendor accounts.",
        "body": "ChatGPT and Claude can already write you an app. Getting it live is another story.\\\n\\\n<https://www.youtube.com/watch?v=cFmZPUVfKCY>\n\nConnect Floot, and your AI becomes a full-stack app builder. You don’t get limited to your computer - the AI agent can use Floot on the web, in the desktop apps, or from your phone. The model you already pay for writes and debugs the code, shows you a live preview, and publishes to your own domain. No git, Vercel, Supabase, Resend, or OneSignal to set up - a stack of tools that was never built for you anyway.\n\n![uploaded image](/media/?type=post&id=112249&key=user_uploads/2071169/fcf08d3d-384b-4da1-bb8c-b342dbb8c478)\n\nAnd the part we're most excited about: Floot doesn't charge you AI credits.\n\nEvery message, every change, every random question uses the Claude or ChatGPT subscription you already have. No settling for a lesser model to make the credits last. Explore freely - test every idea, ask every question.\n\nTakes a minute to connect. Free to start → [**floot.com**](http://floot.com)",
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        "id": 92516,
        "title": "Floot - The easiest and most powerful AI app builder",
        "tagline": "The fastest way for non-coders & entrepreneurs to build apps that actually work.",
        "body": "Hi everyone 👋 We’re Edward and Yujian, the founders of Floot!\n\n**TLDR:** Floot lets non-coders &amp; entrepreneurs build real web apps that actually work. We’re taking a new approach by building everything from the ground up for AI.\n\n✨ [Try building an app right now!](https://floot.com)\n\n# The Problem\n\nExisting AI app builders fall short of enabling non-coders to build real, serious apps. They often:\n\n* **Break down** when building anything more than a prototype or toy app\n* **Have non-coders stuck** with errors they don’t understand\n* **Require non-coders to handle multiple services** designed for developers (e.g. for backend, database, hosting, etc)\n\n**The fundamental problem**: these AI app builders just cobble together existing developer tools and slap AI on top, but these tools were designed for humans and not for AI.\n\nThe result? Non-coders get excited, start building, hit a wall, and then abandon their projects.\n\n# Our Solution\n\nFloot is purpose-built for AI. Our secret sauce:\n\n1. Instead of reusing a coding framework designed for humans, **we created a specialized framework** that dictates how AI should write code and how the code runs on our infrastructure. This allows us to enforce best practices, detect errors earlier, and give the best feedback to the AI. As a result, Floot can write better code and fix issues more effectively.\n2. **Floot has the entire tech stack built-in** (backend, database, hosting, etc) so building and managing an app feels seamless, especially for non-coders. And because we control every layer of the stack, we can optimize each layer for AI-first coding.\n\nBecause of this, **non-coders can get more done with less time** and prompting. They can finally **build serious apps** that work, instead of getting stuck in frustrating error loops and then abandoning their projects.\n\nWe also built a **highly scalable hosting system** directly on AWS so Floot apps can handle real traffic and business demands. This means non-coders can build, deploy, and scale their apps on a single platform seamlessly.\n\nPlus, **Floot is really fun to use**! It takes your prompt, breaks it down, and shows you how it accomplishes each step. If it sees a bug while building, it lets you know and fixes it right away.\n\nYou can even draw on your app to visually communicate the changes you want:\n\n![uploaded image](/media/?type=post&id=92516&key=user_uploads/2071169/b6bd69f7-9f86-4db9-929e-4ad3ab66b129)\n\n**Here’s what a customer said about Floot:**\n\n_I'd tried other platforms but could never advance far enough to feel truly productive. The time investment and constant token usage just to fix issues had me ready to hire a developer again. With Floot, I had a working app within a week, even working in my off-hours, and started beta testing with my team days later. We estimate Floot has saved us around $20,000 so far. Best of all, their customer support has gone above and beyond at every turn._\n\n✨ [Try Floot yourself!](https://floot.com) (bonus: build something you’ve made in other tools to compare)\n\n# Why are we building this?\n\nWe believe that existing tools are based on technologies built for human developers and ill-suited for the future of AI writing most of the code. The whole toolchain of building and maintaining software desperately needs to adapt to the new reality. We are starting with web apps with the goal of evolving into the new foundation of software, empowering the next generation of builders.\n\n# Team\n\n[Yujian](https://www.linkedin.com/in/yjyao/) was a staff software engineer at Retool and Asana. At Retool, he rebuilt the entire runtime to optimize the user experience for builders. At Asana, he built the rich editor that powers every task and comment. Yujian ranked 4th in the National Olympiad in Informatics, Singapore.\n\n[Edward](https://www.linkedin.com/in/edwlk/) scaled his SaaS to 10k+ customers by taking something technically complex and making it accessible to non-technical users, and now he’s doing the same with Floot. For his SaaS, he built a highly scalable and reliable distributed system to handle low-latency applications. Before that, Edward built infrastructure at AWS and studied CS at Berkeley.\n\n# Our ask\n\n✨ [Try building an app in minutes on Floot!](https://floot.com)\n\nWe’d love your feedback (even nitpicks!) - reach us at [founders@floot.com](mailto:founders@floot.com)\n\nKnow someone who needs to build an app? Have them try Floot :)\n\n![uploaded image](/media/?type=post&id=92516&key=user_uploads/2071169/d62a49f0-5907-44fa-8ff3-f9c374f1e8b0)\n\n",
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        "full_name": "Ivan Chub",
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        "founder_bio": "currently: scaling RL environments. \n\nformerly: orchestrated 500+ person parties, monthly @ notsominimoments · swe @ msft · product @ poshmark · data science @ paymongo",
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        "full_name": "Tony Goss",
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        "url": "https://www.ycombinator.com/companies/idler/jobs/nk4V3PX-executive-assistant",
        "location": "San Francisco",
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        "id": 116440,
        "title": "Offensive Security RL Researcher",
        "url": "https://www.ycombinator.com/companies/idler/jobs/BpzzPnW-offensive-security-rl-researcher",
        "location": "San Francisco",
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      {
        "id": 111319,
        "title": "idler — push the frontier of your model",
        "tagline": "Hill-climb any benchmark, for any model, in any domain using our RL environments.",
        "body": "Today, we're introducing [Idler](https://idler.ai/) – a frontier data research lab. We build the evals and environments that the world's leading frontier labs use to measure and train their models.\n\nIn the last year, we’ve developed thousands of coding evals and environments for a top lab, continuously improving our product to keep pace with the frontier – even as models have gotten 8x better at long-horizon coding.\n\nNow, we're offering off-the-shelf datasets across an even broader set of capabilities: long-horizon software engineering, cybersecurity, recursive self-improvement, legal, long-horizon strategy &amp; ops, enterprise safety, and many others.\n\n[ShelfLife](http://idler.ai/collections/shelflife), our first public benchmark, is out today — a digital twin seeded with the complete operational data of a live, profitable, growing multi-brand retailer running 9 stores, 3 commerce platforms, and a multi-supplier sourcing operation. Post-training Nemotron 3 Nano on 41 ShelfLife tasks raised its Finance Agent Benchmark score from 30.0% to 41.8% (p ≤ 0.001); full results and sample tasks are available [upon request](https://idler.cal.com/d/hpkJFogs2hcjrdqiSW9kCj/30min).\n\n**Our ask. Reach out if:**\n\n* You or someone you know is working on post-training at a lab or enterprise.\n* You have 10-100 employees and you’d like to supplement your revenue by licensing your codebase or de-identified business data.\n* You know any exceptional researchers, infra engineers, or ops people looking for their next challenge. We’re hiring!\n\nWe’d love to hear from you at [hello@idler.ai](mailto:hello@idler.ai). Thanks for the support!\n\n\\-[Nalu](https://x.com/naluconcepcion), [Ivan](https://x.com/chubivan?lang=en), &amp; [Tony](https://x.com/cha0sg0d_).\n\n![uploaded image](/media/?type=post&id=111319&key=user_uploads/557067/a5fd0af4-18b9-449d-a871-63818866898d)\n\n",
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        "full_name": "Amayr Babar",
        "title": "Founder/CEO",
        "founder_bio": "Captain at Nautilus\nAmayr holds an A.B. and a B.E. in Engineering from Dartmouth. ",
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        "full_name": "Ali Sareini",
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        "founder_bio": "Ali Sareini is the co-founder and CTO at Nautilus. He holds a B.S. in CS from the University of Virginia and left Dartmouth’s MEM program to build Nautilus full-time. Previously, he built critical money-movement systems at Fidelity Investments. Ali led SABRES, a private consulting firm, and serves on the board of a Missouri-based public-safety company. He got his start at Autobell Car Wash in high school — now he builds the software the industry runs on.",
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        "body": "Hey YC 👋,\n\nWe’re Nathan & Antonio, building an AI HR manager for hourly teams. Running an hourly workforce means drowning in admin: verifying timesheets, tracking attendance, chasing down approvals. **Businesses can spend up to 6 hours a week just verifying timesheets for a team of 15 employees.** Nathan led the QuickBooks Payroll & Time Tracking app from unranked to #12 on the App Store and saw firsthand how fast this overhead grows. We automate the repetitive HR work — so owners and managers can focus on growing their business, not paperwork.\n\nhttps://youtu.be/n8Oq2jPNwhg\n\n**Problem:**\n\nManaging hourly teams is still painfully manual. Over 70% of businesses rely on paper, spreadsheets, and text chains to handle **critical tasks like scheduling, time tracking, and finding shift coverage.** The tools that do exist are clunky, built for desk workers, and assume a level of tech-savviness many frontline teams don’t have. Meanwhile, managers spend hours each week buried in admin — verifying timesheets, coordinating shifts, and chasing down approvals — instead of focusing on their people.\n\n**Solution:**\n\n![uploaded image](/media/?type=post&id=92358&key=user_uploads/2296932/9d85a882-b66f-4b5d-8eb3-c90409bf1838)\n\nWe meet hourly teams where they are — **with** **voice agents and the simplest possible app.** Our platform automates back-office HR by handling tasks like calling workers for shifts, clocking them in automatically, ensuring breaks, flagging missed punches, and completing payroll review. No more chasing, checking, or double entry — just smooth, automated execution of the work that usually slows teams down.\n\n**Do you know any business owners who pay employees hourly?** We are currently offering a 25% discount per user seat.\n\nContact - [nathan@sira.team](mailto:nathan@sira.team)",
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          "Distributed Systems",
          "AI Agents"
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    "launches": [
      {
        "id": 92778,
        "title": "Locata - AI Referral Management for Health Centers",
        "tagline": "We use AI to automate the entire referral loop including authorizations, patient communication and specialist follow-up.",
        "body": "Hey everyone, we’re [Alejandro](https://www.linkedin.com/in/asalinas21/) and [Josh](https://www.linkedin.com/in/joshua-r-chang/) - cofounders of [Locata](https://www.locatahealth.com/) 👋\n\n**TL;DR**\n\nReferral management is one of the most time-consuming and error-prone tasks in healthcare. Locata eliminates that burden by automating the entire process with AI. This helps health centers streamline their operations, reduce costs, and ensure patients get timely care.\n\nhttps://youtu.be/IwyUifa8MnE\n\n## ❌ The Problem\n\nReferrals are one of the most critical, yet most broken, parts of the US healthcare system. Health centers are required to track specialist referrals to ensure continuity of patient care and meet quality standards. **But with limited staff and overwhelming administrative demands, health centers struggle to keep up, leading many to outsource the work.**\n\n**Consequences:**\n\n* High error rates in referrals\n* Denied authorizations and delays in specialist appointments\n* Wasted time manually copying data between various systems\n\n**Impact:**\n\nThese operational inefficiencies create major **financial risks** for health centers. On top of the resources centers already deploy to manage referrals, failure to effectively close the loop puts quality standards in jeopardy, carrying even greater financial implications.\n\n## [👷](https://emojipedia.org/construction-worker) Our Solution\n\nLocata uses AI to automate the referral management process from end-to-end. Imagine having a team of the world’s best referral coordinators that operate with higher accuracy, lower costs, and faster delivery, giving health centers the capacity to scale on demand and close more referral loops.\n\n* **AI auth submission**: Our AI extracts patient data directly from EHRs, intelligently maps it to the correct authorization forms across different payor portals, and submits requests automatically.\n* **Automated status updates:** We monitor authorization status continuously, with automatic notifications sent to staff for cases requiring urgent attention.\n* **Voice AI patient follow-up:** Our Voice AI calls patients on customizable cadences to monitor whether they’ve made a specialist appointment. Our system alerts staff when they need to step in to offer additional support.\n* **Consult note retrieval**: Once a patient confirms an appointment, our AI automatically contacts specialists, requesting consult notes to effortlessly close the loop.\n\nWithin two weeks of building our product, we signed a major regional health center and are taking them live to automate their entire referral workflow.\n\n## 🙏 Our Ask\n\n* We would love introductions to physicians or administrative staff at health centers. Contact us at [**founders@locata.ai**](mailto:founders@locata.ai).\n* Learn more at [**locatahealth.com**](http://locatahealth.com)\n\n## 👫 The Team\n\nAlejandro and Josh have known each other for almost 10 years.\n\nAlejandro was a senior software engineer at Meta’s Reality Labs, where he led AI projects that resulted in a patent submission. He holds a BS degree in Computer Science from Stanford University. As an undergrad, he conducted AI research at Stanford Medicine and shadowed doctors internationally.\n\nJosh was a software engineer at Google, working on AI products that served over 1 billion users. He holds BS & MS degrees in Computer Science from Stanford University. \n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXcVZU3FQirEU_QuCAYPL2Xw4G4s1QrbEaxCqUFuSG5YG_QQ0lRcCjMSgbEiwEa-7LbYq461m2f3Oy6p4mSvgv_2bDdpKAxbZ26uCIhrtGsl6o-4nnt3X0U_XjYhmvXHr6onkiJP?key=-A3E_ylVo9SV_eklWajCuw)\n\n",
        "url": "https://www.ycombinator.com/launches/O8Q-locata-ai-referral-management-for-health-centers",
        "votes": 68,
        "created_at": "2025-08-07T03:03:30.153Z"
      }
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  },
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    "id": 30758,
    "name": "Hera",
    "slug": "hera-video",
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    "website": "https://hera.video/",
    "all_locations": "Berlin, Berlin, Germany",
    "long_description": "Hera is an AI motion designer that turns 5-hour projects into 5-minute tasks. \r\n\r\nWhen you're a YouTuber making an infographic animation, instead of spending hours manually clicking buttons in Adobe After Effects, you can create the same animation in minutes in Hera. \r\n\r\nThrough talking to our users, we realized that 95% of time spent on motion graphics is manual button clicking, not creative work. This insight led us to focus on automating the tedious parts while giving the user all creative control.\r\n\r\nWe launched in May 2025, got 100k waitlist signups in 8 weeks, and we're doubling revenue monthly.",
    "one_liner": "AI Motion Designer",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1751591849,
    "tags": [],
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2025",
    "status": "Active",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "regions": [
      "Germany",
      "Europe"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/hera-video",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/hera-video.json",
    "year_founded": 2025,
    "city": "Berlin",
    "country": "DE",
    "linkedin_url": "",
    "x_url": "",
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    "app_video_url": null,
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    "primary_partner": {
      "name": "Jon Xu",
      "url": "https://www.ycombinator.com/people/jon-xu"
    },
    "founders": [
      {
        "user_id": 1855660,
        "full_name": "Peter Tribelhorn",
        "title": "Founder/CEO",
        "founder_bio": "Building Hera to make motion design radically faster and easier. Previously acquired and managed big YouTube channels with +30m subs (e.g., Economics Explained, The Game Theorists).",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/peter-tribelhorn-36a967142/",
        "x_url": "https://x.com/tribelhorn23",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f387aee6f30b9154581e710224ec49db7f10e983.jpg"
      },
      {
        "user_id": 1260840,
        "full_name": "Chia-Lun Wu",
        "title": "Founder/CTO",
        "founder_bio": "Building Hera, an AI motion designer.\n\nI was the first engineer/employee at Flagright (YC W22), where I built and led core infrastructure from the ground up and scaled it. I was also an early engineer at Vyond, where I built Vyond Studio, an online video editor used by 20,000 businesses today.\nI hold an MS in Computer Science from National Taiwan University (NTU) and have been working in software engineering since 2016.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/chialunwu/",
        "x_url": "https://x.com/leowuhera",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/69a1880f53fad66c9e27c12915a45ec3fce99fd2.jpg"
      }
    ],
    "jobs": [
      {
        "id": 80349,
        "title": "Founding Software Engineer",
        "url": "https://www.ycombinator.com/companies/hera-video/jobs/sHCLYOi-founding-software-engineer",
        "location": "Berlin, BE, DE / Berlin, Berlin, DE / Remote (San Francisco, CA, US; New York, NY, US; TW)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "€90K - €130K EUR",
        "equity_range": "0.50% - 1.50%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 83656,
        "title": "Founding AI Engineer",
        "url": "https://www.ycombinator.com/companies/hera-video/jobs/itTRHs0-founding-ai-engineer",
        "location": "Berlin, BE, DE / Berlin, Berlin, DE / San Francisco, CA, US / New York, NY, US / TW / Remote",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "€80K - €130K EUR",
        "equity_range": "0.75% - 1.50%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 83657,
        "title": "Founding Product Designer",
        "url": "https://www.ycombinator.com/companies/hera-video/jobs/3YpF3GY-founding-product-designer",
        "location": "Berlin, BE, DE / Berlin, Berlin, DE / Remote (New York, NY, US; San Francisco, CA, US)",
        "type": "Full-time",
        "role": "Product",
        "role_type": null,
        "salary_range": "€80K - €130K EUR",
        "equity_range": "0.75% - 1.50%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 92051,
        "title": "Hera: Your AI Motion Designer",
        "tagline": "Hera is an AI motion designer that turns 5-hour animation projects into 5-minute tasks.",
        "body": "Hi 👋 We’re [Chia](https://www.linkedin.com/in/chialunwu/) and [Peter](https://www.linkedin.com/in/peter-tribelhorn-36a967142/), the founders of [Hera](https://hera.video/). \n\n**TL;DR:** \n\nCreating motion graphics is time-consuming and requires complicated software. Hera uses AI to make motion design radically faster and cheaper, helping users create over 50,000 animations to date.\n\n**Problem: Motion design is complicated, time-consuming, and expensive**\n\nPeter used to build YouTube channels and produced more than 240 videos. He spent thousands of dollars every week hiring motion designers to create infographics, text animations, or map animations. \n\nThere he realized that motion design is mostly about mastering complicated software with many buttons, not actual creative work. Here you can see how complicated, tedious, and time-consuming the leading tool, Adobe After Effects, is:\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXfBBfbxFI5I7GiBZBOEs2INi6E036flopQFfG9kZfVBl7gTUHWNX_2jnls3WG_TDRrrQ4a7tkJ5VMTVm1PM_vU0tV0HqrUnARtO10kFq_kztNYLQfDbSo42g-82UnKfbIX6dtxuug?key=ucB-AG1uSNxOnV5yBE4xiA)\n\nAfter talking to 130 video teams, ranging from YouTube channels, marketing agencies, and corporates, we learned:\n\n1. There is **no alternative to After Effects** to create professional motion graphics.\n2. **Mastering After Effects takes years** and watching countless tutorials/courses.\n3. Hence, **video teams hire expert motion designers.** \n4. And even for expert designers, it **can take hours to create seconds of motion design.**\n\n**Solution: Hera fills this gap by making motion design fast & easy**\n\nhttps://youtu.be/NFRllovZQS0?si=0gxZ2T4xQpTZrww6\n\nStart by describing your motion graphic in plain English\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXchUYGy7SO7-gjW07OdYD_6Os16OVlcVD6uCo28jPnuH85s0Potn0URq441tpUUPQOAx2xmX5Yqn7-cUokmO1nPRwnGE2RoIXspXqkhc9XBHzvveGdbA-LuUhN6pyixDxnsVeBG?key=ucB-AG1uSNxOnV5yBE4xiA)\n\nYou can tweak it as you like with on-canvas editing\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXf6vvFbbkBwRX9SNH6hGwOV56iU_Mgwps_OccAIm53W4RK_sProVckXJr1hq1ZDxSZrM2RMXnHpkQV6l7SwV1zH4tl7zh6iyljCbYtV3M7lRJw4PxA97Uq1A7TVrlF2ZxEytwt2?key=ucB-AG1uSNxOnV5yBE4xiA)\n\nPick an already created animation from other users and customize it\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXdhIJIFYIA0rMSOiojS2b2sAOEn8bi9FFkNkxWrbfwBdMBC117t0ZKWOm44KWK8ue8OiBsKnSgoso2CKrlrybZQOK4-kjwYtq7LawTqFOv7ZDCS2OsuC3xe23RZoauto0IQJC0m?key=ucB-AG1uSNxOnV5yBE4xiA)\n\nCreate your custom brand kit and all your animations will stay on-brand\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXfPO2y1hf2SAli6G7Suqh74NJ2erroMQNOvItSUrDZU8auZBUrMz68smd_fwa9yQIgkp2h7gNZWWiDhtLwgn3Q9DonrtZhuzyxkPWATsDD3_T_aOggWiph_lLCjDcvu-y9WPuEPQA?key=ucB-AG1uSNxOnV5yBE4xiA)\n\n**Customers: Everything changed the day we couldn’t stop people from using Hera**\n\nTwo months ago, we launched Hera to creators in our network. People started talking about Hera on the internet, and we got 3,000 users who created more than 15,000 animations within one week.\n\nToday, we have more than 100k people on our waitlist asking for access (and some are even selling invite codes).\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXdUpV6khJm6kOtoe-ks_d3RXXDl1u2A6sZPP8IDvC-F9pTYhiMHNtdrR2HxOCUb78qwOUf2E262ovKLBvvd7c3RT9-iq8qmQXfxtsgERRz7R0NOfwpqLtk1CZbJJcwRL1ca0LiNNA?key=ucB-AG1uSNxOnV5yBE4xiA)\n\n**Our Ask: If you answer “yes” to any of these, we’d love your help:**\n\n* Do you produce video content in-house and either already incorporate motion graphics or would like to incorporate motion graphics? \n* Can you introduce us to marketing/advertising agencies that focus on creating video advertisements? \n* Can you introduce us to video publishers (e.g., traditional publishers, YouTube channels, influencers) who might be interested in making motion design faster and cheaper?\n\nSkip the waitlist and try out Hera today: https://hera.video/join/yc\n\n👉 Contact us at [peter@hera.video](mailto:peter@hera.video)\n\nYour help can make a huge difference. **Thank you!**\n\n**Team: We know our customers and tech inside out**\n\nPeter acquired and built leading YouTube channels with +30 million subscribers at Lunar X (e.g., Economics Explained, Game Theorists). He produced +240 videos and spent thousands every week on motion designers.\n\nChia was one of the first developers at Vyond, a leading video editing solution, where he built Vyond Studio, a full-featured, drag-and-drop online video editor that is used by 20k businesses today.\n\nWe have been friends for 5 years and decided to build something together last summer.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXdANyVcVkBVfrTT1t5kFkP-JSZ6Lgas72QTZ0Lq-zX36Iwzai3h7O-o2FfDnFk8fM3Zq8-sgHdFPZNa4Bis9IA_byzj_4Ysp5hT6KLsJ3qR8DDFHpmbWzbUalNkQ2rlmLmARab7Iw?key=ucB-AG1uSNxOnV5yBE4xiA)\n\n",
        "url": "https://www.ycombinator.com/launches/Nwh-hera-your-ai-motion-designer",
        "votes": 380,
        "created_at": "2025-07-10T21:24:31.293Z"
      }
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  },
  {
    "id": 30761,
    "name": "Reacher",
    "slug": "reacher",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e18f0a8b8fff511049fe03b4ad0dc3b98bce28b5.png",
    "website": "https://reacherapp.com/",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "Reacher is an AI-powered platform that automates creator marketing workflows—from discovery and outreach to campaign management and content strategy—making marketing teams 10x more productive. \r\n\r\nWe handle the manual tasks so brands can focus on building relationships with creators while centralizing their operations in one platform to manage creators on TikTok Shop, Instagram, and YouTube.\r\n\r\n\r\n\r\n\r\n",
    "one_liner": "We automate creator marketing for the world's largest brands",
    "team_size": 10,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1750191046,
    "tags": [
      "B2B",
      "E-commerce",
      "Creator Economy",
      "AI"
    ],
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    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2025",
    "status": "Active",
    "industries": [
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    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Fully Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/reacher",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/reacher.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/reacherapp",
    "x_url": "https://x.com/ReacherApp",
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e18f0a8b8fff511049fe03b4ad0dc3b98bce28b5.png",
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    "primary_partner": {
      "name": "Andrew Miklas",
      "url": "https://www.ycombinator.com/people/andrew-miklas"
    },
    "founders": [
      {
        "user_id": 839007,
        "full_name": "Jerry Qian",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder and CEO @ Reacher\nPrev @ Meta, Berkeley, NASA",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/j-qian",
        "x_url": "https://x.com/JerryQian_",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ec1ee882a67209bd8aedbe13d8a0bfbcb164e25f.jpg"
      },
      {
        "user_id": 1366962,
        "full_name": "Bora Mutluoglu",
        "title": "Founder",
        "founder_bio": "Bay area born and raised. Cupertino native. Work, gym, hiking, nature, walking, rugby, soccer, dogs, birds, edm, heavy metal, healthy lifestyle, work. Cupertino High School -> UC Santa Cruz -> UC San Diego -> UC Berkeley -> Palo Alto Networks -> Reacher. \n\nCurrently building Reacher. The AI Brand Manager for ecommerce businesses scaling through the creator economy.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/bora-mutluoglu",
        "x_url": "https://x.com/BoraMutluoglu",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4fd8c23ceb198400a3b742659ae87f2e47e2ad57.jpg"
      }
    ],
    "jobs": [
      {
        "id": 77926,
        "title": "Senior Software Engineer (Full Stack)",
        "url": "https://www.ycombinator.com/companies/reacher/jobs/D4dVC9e-senior-software-engineer-full-stack",
        "location": "San Francisco, CA, US / Los Angeles, CA, US / New York, NY, US / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$115K - $200K",
        "equity_range": "0.50% - 2.50%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 80082,
        "title": "Software Engineer (Full Stack)",
        "url": "https://www.ycombinator.com/companies/reacher/jobs/rqRLSNE-software-engineer-full-stack",
        "location": "San Francisco, CA, US / Los Angeles, CA, US / New York, NY, US / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$90K - $130K",
        "equity_range": "0.10% - 1.00%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 80430,
        "title": "Software Engineer Intern (Fall 2025/Summer 2026)",
        "url": "https://www.ycombinator.com/companies/reacher/jobs/HxPjZJm-software-engineer-intern-fall-2025-summer-2026",
        "location": "San Francisco, CA, US / Los Angeles, CA, US",
        "type": "Internship",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$6K - $10K / monthly",
        "equity_range": "",
        "experience": null,
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 81897,
        "title": "Founding Account Executive",
        "url": "https://www.ycombinator.com/companies/reacher/jobs/44JG1fa-founding-account-executive",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$70K - $240K",
        "equity_range": "0.01% - 0.50%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 81900,
        "title": "Head of Customer Success",
        "url": "https://www.ycombinator.com/companies/reacher/jobs/FeFkQWj-head-of-customer-success",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Support",
        "role_type": null,
        "salary_range": "$110K - $180K",
        "equity_range": "0.01% - 0.50%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 93070,
        "title": "Reacher - Marketing agent for creator collaborations",
        "tagline": "Automate creator management, campaign optimization, and content strategy so marketing teams can focus on what humans do best.",
        "body": "# **The problem we're solving**\n\nCreator marketing teams spend too much time on manual and repetitive tasks that can be automated.\n\nIf you run marketing at an ecommerce agency or DTC brand, you know the creator marketing team is manually reaching out to creators, managing campaigns across TikTok Shop, Shopify, and Amazon, while trying to stay on top of trends and optimize budgets. \n\nReacher handles these tasks so marketers can focus on what they do best: building relationships with creators.\n\nHere’s our demo video [Introducing Reacher!](https://www.youtube.com/watch?v=MAIFauroCN4)\n\n# **How Reacher works**\n\n* **Creator Discovery** - We analyze millions of creator profiles to find matches based on brand values, content focus and audience demographics. \n* **Creator Management System** - Our CRM automatically identifies where each creator is in the pipeline and knows the right message to send at the right time to increase conversion at every stage.\n* **Campaign Management** - Reacher runs creator retainers, viral challenges, contests, manages payments, and provides real-time analytics.\n* **Creative Intelligence** - We monitor viral trends, analyze competitor strategies, and track creative patterns across platforms. We auto-generate creative briefs and video scripts to enable hyper specific campaigns and drive content diversity.\n* **Multi-Platform Integration** - While we dominate TikTok Shop today, we're building the universal platform to power all creator-brand collaborations. Soon, brands selling on TikTok Shop, Amazon, and Shopify will find and manage creators from Instagram, Youtube, TikTok, X all from Reacher.\n\n![uploaded image](/media/?type=post&id=93070&key=user_uploads/839007/02d2cbe8-0f3e-43e3-99d4-b47824431757)\n\n# **Why this is the future**\n\nNowadays, most brands are discovered through creator content, sell products through creator affiliates, and build their entire customer acquisition around user generated content at scale. \n\nEvery company will eventually need creators making content across every platform. We're building the infrastructure so any brand can instantly find and work with creators on YouTube, Instagram, TikTok, X, Snapchat and even Pinterest - wherever their customers are.\n\n# **How to get started?**\n\nWe power creator collaborations for any company from small businesses to household name enterprise brands. Learn how we can help your business grow through creator content. Book a demo [HERE](https://meetings.hubspot.com/reacher).\n\n![uploaded image](/media/?type=post&id=93070&key=user_uploads/839007/12ea83ee-9e59-45da-ab46-3a5b78113ebd)\n\n![uploaded image](/media/?type=post&id=93070&key=user_uploads/839007/1a0ef1a7-7c2b-4296-b843-7450be56cdb7)\n\n",
        "url": "https://www.ycombinator.com/launches/OD8-reacher-marketing-agent-for-creator-collaborations",
        "votes": 22,
        "created_at": "2025-08-17T04:29:07.122Z"
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    "id": 30769,
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    "website": "https://juxta.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Juxta is creating the first Universal Positioning System (UPS) — a GPS alternative that can monitor movement anywhere on earth with no new hardware, minimal internet connection, and remote deployment. Using custom machine learning models and a first-of-its-kind synthetic fingerprinting technology, Juxta can make any indoor, outdoor, or underground space location-aware in minutes for a fraction of the cost of any other geospatial technology.\r\n\r\nJuxta's UPS can be leveraged across industries — from securely tracking soldiers in combat zones to providing offline positioning for robots to offering asset tracking in warehouses and ports around the globe.",
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    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/use-juxta/",
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        "user_id": 1967850,
        "full_name": "John Ferrara",
        "title": "Founder/CEO",
        "founder_bio": "Prev. Northwestern data science + journalism; CEO at Juxta, working to create the next frontier of asset and personnel tracking!",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ferrara-john/",
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        "id": 105582,
        "title": "Data Collection/Processing Intern",
        "url": "https://www.ycombinator.com/companies/juxta/jobs/goX2NaF-data-collection-processing-intern",
        "location": "San Francisco, CA, US",
        "type": "Internship",
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        "role_type": null,
        "salary_range": "$2K - $4K / monthly",
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        "id": 91937,
        "title": "Juxta — a GPS alternative 100x more powerful, with zero external hardware.",
        "tagline": "Track anyone, anything, anywhere on earth in an instant.",
        "body": "Hi! We’re building Juxta — a new way to track people and things anywhere around the world with zero external hardware required (i.e. satellites, beacons, free-floating chips, etc). We let businesses, defense agencies, and consumers instantly map an area and make it location aware in minutes. It’s super cheap, can work offline, is unjammable, and has truly universal coverage.\n\nhttps://youtu.be/9A8X8NIbPBM\n\n**Why current tracking methods don’t work**\n\nMost tracking technologies today fail where people actually live and work. Over 90% of human activity happens indoors, yet GPS simply doesn’t function in enclosed spaces, and beacon systems like BLE or UWB cost upwards of $250,000 per site to install and maintain. Even outdoors, GPS breaks down in forests, dense urban areas, warzones, and remote regions—anywhere signal is weak, jammed, or obstructed. These limitations make traditional tracking systems expensive, unreliable, and fundamentally incomplete for real-world use.\n\n**Introducing the Universal Positioning System (UPS)**\n\n* Zero hardware, all on-device.\n* **Remotely deployable: map anywhere _from_ anywhere**\n* **Works anywhere: indoors, outdoors, underground.**\n* Capable offline, unjammable, end-to-end encrypted.\n* Tracks anything with an IMU: phones, robots, vehicles, machinery.\n* Juxta delivers GPS-level (or better) accuracy at a fraction of the cost — with 10x the global coverage.\n\n![uploaded image](/media/?type=post&id=91937&key=user_uploads/1967850/5c399c68-3b89-4f55-b150-21d0e11d6ce9)\n\n**How UPS works**\n\n1. Upload floorplans or satellite imagery to our web portal.\n2. We vectorize layouts, generate 3D spaces, and simulate millions of hyper-realistic movement paths.\n3. AI trains on this synthetic data to reduce drift.\n4. Models deploy directly to user devices — **no manual setup or hardware required.**\n\n**It already works and has tons of applications**\n\n* _Defense:_ Track personnel/assets in the field — no signals needed or frequencies emitted.\n* _Robotics:_ Signed deals with companies like RC Mowers needing non-visual, offline positioning.\n* _Warehousing/Logistics:_ Track assets in ports/facilities with no beacon install.\n* _Healthcare:_ LOI signed to track patients via existing medical monitors.\n\n**Get started with hardware-free, remotely deployable tracking…**\n\n* Book a demo at: [usejuxta.org](http://usejuxta.org)\n* Email me: [john@usejuxta.org](mailto:john@usejuxta.org)",
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        "votes": 70,
        "created_at": "2025-07-08T17:28:20.352Z"
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    "website": "https://fleetline.ai",
    "all_locations": "New York City, NY, USA",
    "long_description": "Fleetline is building the first complete-context algorithmic load planner for mid to large-sized trucking fleets. Today’s dispatchers face an overwhelming task: balancing regulations, customer demands, live fleet data, and individual driver needs, all while coordinating across siloed tools and teams. Mistakes run rampant, and each mistake is thousands of dollars. Even the select fleets using algorithms that have fleet-wide context struggle: the outputs are rigid, hard to interpret, and are blind to real-world nuances like driver preferences and schedule exceptions. Fleetline solves this by combining advanced optimization with LLMs that can easily adapt algorithms to each fleet’s needs and capture driver-specific information. The result is smarter planning truly optimized for every fleet and its drivers.",
    "one_liner": "Optimizing fleet planning with data driven algorithms",
    "team_size": 11,
    "industry": "B2B",
    "subindustry": "B2B -> Supply Chain and Logistics",
    "launched_at": 1754335865,
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    "nonprofit": false,
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    "stage": "Early",
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    "year_founded": 2025,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/fleetlineai",
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      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
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    "founders": [
      {
        "user_id": 757578,
        "full_name": "Saurav Kumar",
        "title": "Founder/CEO",
        "founder_bio": "Optimizing and automating dispatch ops @ Fleetline",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/sauravml",
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        "user_id": 2828390,
        "full_name": "Veer Juneja",
        "title": "Founder/COO",
        "founder_bio": "Combining LLMs with traditional advanced optimization techniques to automate trucking dispatch operations. I studied philosophy @ USC. ",
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        "linkedin_url": "https://www.linkedin.com/in/veer-juneja-67255417a/",
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        "id": 85256,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/fleetline/jobs/dVipAK8-founding-engineer",
        "location": "New York, NY, US",
        "type": "Full-time",
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        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
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        "title": "Founding Algorithm Developer",
        "url": "https://www.ycombinator.com/companies/fleetline/jobs/az5DIjt-founding-algorithm-developer",
        "location": "New York, NY, US",
        "type": "Full-time",
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      {
        "id": 92822,
        "title": "Fleetline 🚛 Optimizing Fleet Planning with Data Driven Algorithms",
        "tagline": "Combining LLMs with advanced optimization to unlock algorithmic load planning for all fleets, in all situations ",
        "body": "# TLDR:\n\nToday’s fleets are **stuck between two failing approaches to load planning**: human dispatchers drowning in complexity (driver preferences, regulatory constraints, shifting schedules, and more) or inflexible algorithms blind to tribal knowledge and driver nuance. We solve this by combining advanced optimization with LLMs that can adapt algorithms to deliver intelligent planning for real-world operations. \\\nhttps://youtu.be/9LHYILVw6ks\n\n# **💥 The problem:**\n\nPlanning just one week of routes for a 50-truck fleet involves **more possible combinations than there are grains of sand on Earth**. For humans, consistently piecing together reasonable combinations is difficult. Making optimal ones is impossible. Dispatchers juggle:\n\n* Regulatory constraints, like drivers’ hours of service\n* Complex forecasts, like considering the likelihood of receiving a load from a flaky customer\n* And human preferences, like a driver’s disdain for a specific commodity\n\nThis complexity forces fleets to effectively **silo their operations**—assigning each dispatcher a subset of trucks to manage. **Instead of coordinating as a cohesive operation, fleets become mini-operations, resulting in load mismatches and under-utilized capacity.** For a low-margin industry like trucking, those inefficiencies are the difference between making or missing payroll. \n\nIn response, some fleets have adopted expensive load planning algorithms. While these traditional solutions are a marginal improvement over manual work, they fail to meaningfully solve the problem. \n\nRigid algorithms operate like complete black boxes, often leaving dispatchers with a lack of confidence in their decisions. Deterministic algorithms cannot be responsive to the soft preferences of either the fleet or the driver. For example, dispatchers may have to reshuffle their planning board because an algorithm cannot optimize for a driver needing to be home early one day for his daughter’s recital. \n\nThat means the algorithm's recommendations are largely not followed or, if they are, drivers are left unhappy. With an active driver shortage, fleets can’t tolerate the latter. \n\nTrucking is a trillion-dollar industry, yet its biggest players have no good option for load planning. \n\n# **✅ The solution:**\n\n**Fleets no longer have to choose between two existentially threatening options with Fleetline.** By combining traditional advanced optimizations with LLMs, we created a solution that allows fleets to optimize their schedules while being adaptive to soft preferences and surprises. All users need to do is prompt our AI agent with any changes / added constraints to include in the optimization algorithm, and the load planning is re-done. \n\nFor example, if a driver at a fleet needs to make it back home by 2 PM on a given Tuesday to see his daughter’s recital, instead of manually scrambling the planning board, our AI agent can re-optimize around the new constraint. \n\nWe’re already working with large fleets in California and talking to others across the country.\n\n# **🏋️‍♂️ The team:**\n\nSaurav and Veer are lifelong friends who have been working on projects together since they were 14. Saurav graduated from UIUC and has worked at Icon, Meta, and Nvidia, and is a previous founder (Blast AI). Veer was pursuing his master’s at USC, was a nationally ranked high school and college debater, and is an exited founder. \n\nWe’re excited about building revolutionary tech for a trillion-dollar industry that is functionally the backbone of the country. \n\n# **📈 Vision:**\n\nA dynamic algorithm unlocked by LLMs will allow fleets of any size to find value in our optimization software. \n\n### **Our ask:**\n\nPlease let us know if you have any connections at all in the trucking or logistics space 🙂\\\nWould also love to talk to anyone who has built RL environments or dynamic programming algorithms at scale!\n\n\\\nContact us at [founders@fleetline.ai](mailto:founder@fleetline.ai) ",
        "url": "https://www.ycombinator.com/launches/O98-fleetline-optimizing-fleet-planning-with-data-driven-algorithms",
        "votes": 30,
        "created_at": "2025-08-07T21:08:34.390Z"
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    "id": 30776,
    "name": "Magnetic",
    "slug": "magnetic",
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    "website": "https://www.magnetictax.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Magnetic scans client documents - from handwritten charity notes to excel spreadsheet Schedule Cs to multi-state K-1s - and enters them into tax software automatically, saving hours of tedious data entry. \r\n\r\nThe accounting profession is facing a massive talent shortage, as graduates choose different professions and the old guard begins to retire. As a result, CPA and tax preparation firms are awash in clientele, but unable to keep up. At many firms, phones go unanswered, clients are \"fired\", and websites are taken down, as the existing workforce tries to handle the grueling 80 hour+ weeks necessary to push through tax season to the April 15th deadline.\r\n\r\nWe built this because a former colleague who owns her own tax firm asked us to automate her workload, and we quickly realized the massive opportunity. Thomas brings deep domain expertise as the former Head of Product at Keeper (YC W19), where he built tax engine automation systems and an OCR form scanning system that outperformed everything else on the market. At Keeper, he leveraged early access to OpenAI's LLMs (well before ChatGPT) to build systems that automated the entire tax filing process, allowing a tiny team of CPAs to process thousands of returns with near zero busy work. Patrick was the first engineer at FunCraft, shipping multiple mobile games with 1M+ downloads and building scalable shared codebases. We've worked together since 2017, including co-leading multiple teams at Zynga as PM & Tech Lead respectively.\r\n\r\nThe opportunity is massive - there are 80M US personal tax returns filed via professionals annually, in a $2B outsourcing market where individual CPA firms currently pay $100k-$1M per year for inferior services. We're positioned to capture significant market share by offering better accuracy & document coverage, instant processing, and superior user experience.\r\n\r\nWe've built this kind of software before, we've worked together for years (and even lived together), we've built products to $10M ARR before, and we have the grit to outwork anyone in this space.",
    "one_liner": "AI Tax Preparer for CPA firms",
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        "full_name": "Thomas Shelley",
        "title": "Founder/CEO",
        "founder_bio": "Thomas is the co-founder and CEO of Magnetic. He was most recently Head of Product at Keeper (YC W19), where he designed tax engine automation and OCR tax doc scanning systems for the world's first consumer AI tax filing product. Previously, Thomas ran product teams at Niantic and Zynga, and before that dropped out of Carnegie Mellon to build a digital item marketplace. ",
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        "linkedin_url": "https://linkedin.com/in/thomasjshelley",
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        "user_id": 1753722,
        "full_name": "Patrick Fay",
        "title": "Founder/CTO",
        "founder_bio": "Patrick is the co-founder and CTO of Magnetic. He was the first engineer at FunCraft, where he shipped 14 new games in four years, including two multi-million dollar hits. Patrick led multiple engineering teams at Zynga, and was ranked #1 in the world for DotA Underlords Duos.",
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        "title": "Senior Fullstack Software Engineer",
        "url": "https://www.ycombinator.com/companies/magnetic/jobs/77FvOwO-senior-fullstack-software-engineer",
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        "role_type": "Full stack",
        "salary_range": "$150K - $250K",
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      {
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        "title": "Head of Operations",
        "url": "https://www.ycombinator.com/companies/magnetic/jobs/qMfDsws-head-of-operations",
        "location": "San Francisco, CA, US",
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        "url": "https://www.ycombinator.com/companies/magnetic/jobs/mFYdgkE-founding-account-executive",
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        "title": "📄 Magnetic - AI Tax Prep for CPA firms",
        "tagline": "Magnetic scans client docs - from complex K-1s to handwritten notes - and enters them into your firm's existing tax software",
        "body": "**TL;DR:** Magnetic scans taxpayer documents and enters them into tax software automatically, replacing data entry roles and reducing costly errors for CPA firms.\n\n**Ask**: Know a firm struggling with tax prep capacity? We’d love an intro.\n\nhttps://youtu.be/5--kYPgPLEM\n\n---\n\n**The Problem:**\n\nThe accounting profession is in crisis. CPAs and other tax professionals face a massive talent shortage as new grads abandon the field and experienced pros retire or sell their firms to PE. Firms are overwhelmed, working 80+ hour weeks during tax season, turning away clients, and missing deadlines - not due to a lack of work, but a lack of bandwidth. Many of the firms we talk to either don’t have a working website or don’t pick up the phone - because they can’t handle new clients.\n\nMost CPA firms still rely on manual data entry or expensive outsourcing services that are slow, error-prone, and hard to scale.\n\n---\n\n**Our Solution:**\n\nMagnetic automates tax data entry. We scan client docs - from handwritten donation notes to messy Schedule Cs and multi-state K-1s - and enter the data directly into legacy tax software like UltraTax, Drake, or ProConnect with 90%+ field-level accuracy (vs \\~50% from incumbents).\n\nThe agent can even reason over complex documents, reference the tax code, and perform calculations to handle nuanced scenarios like allocating tax-exempt interest across states for compliance with state apportionment rules.\n\n![uploaded image](/media/?type=post&id=92213&key=user_uploads/1753404/0ae3eead-1899-4368-9b2c-84e45e502b29)\n\n---\n\n**Our Backgrounds:**\n\n**Thomas (CEO)**: Former Head of Product @ Keeper (YC W19). Built AI Turbotax + form scanning engine that powered thousands of automated returns. CMU & UMD.\n\n**Patrick (CTO)**: First engineer @ FunCraft (shipped multiple mobile games to millions of installs and millions in ARR). USC CS\n\n![uploaded image](/media/?type=post&id=92213&key=user_uploads/1753404/1e80e15e-0f0f-4848-b706-15537d0c23e2)\n\n---",
        "url": "https://www.ycombinator.com/launches/NzJ-magnetic-ai-tax-prep-for-cpa-firms",
        "votes": 45,
        "created_at": "2025-07-16T18:24:41.120Z"
      }
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    "id": 30789,
    "name": "Interfere",
    "slug": "interfere",
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    "website": "https://interfere.com",
    "all_locations": "New York City, NY, USA",
    "long_description": "Interfere empowers engineers, product managers and designers with real-time understanding of previously unseen bugs and issues.",
    "one_liner": "Give engineering, product, and design teams insight into unseen issues",
    "team_size": 8,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1752094986,
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      "Design",
      "AI"
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      "America / Canada"
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    "stage": "Early",
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    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/interfere.json",
    "year_founded": 2025,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "http://linkedin.com/company/interfere-inc",
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    "cb_url": "https://www.crunchbase.com/organization/interfere",
    "github_url": "https://github.com/interfere-inc",
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    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
    },
    "founders": [
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        "user_id": 1053851,
        "full_name": "Luke Shiels",
        "title": "Founder/CEO",
        "founder_bio": "Founder of Interfere (YC S25), we’re building the self-healing layer of the internet: software that helps software engineers spend less time fixing bugs, and for the first time allow non-technical members of your team to understand how your product actually works in real-life.",
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        "linkedin_url": "https://linkedin.com/in/shiels",
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    "jobs": [
      {
        "id": 101753,
        "title": "Software Engineer, AI/ML",
        "url": "https://www.ycombinator.com/companies/interfere/jobs/kXq09n0-software-engineer-ai-ml",
        "location": "New York City",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$160K - $250K",
        "equity_range": "0.60% - 1.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 101754,
        "title": "Software Engineer, Data",
        "url": "https://www.ycombinator.com/companies/interfere/jobs/2C7MiL1-software-engineer-data",
        "location": "New York City",
        "type": "Full-time",
        "role": "Engineering",
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        "salary_range": "$160K - $250K",
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        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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      },
      {
        "id": 101756,
        "title": "Opportunistic",
        "url": "https://www.ycombinator.com/companies/interfere/jobs/AHkVvCT-opportunistic",
        "location": "New York City",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$250K",
        "equity_range": "0.60% - 1.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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      },
      {
        "id": 101758,
        "title": "Founding Product Engineer",
        "url": "https://www.ycombinator.com/companies/interfere/jobs/1GvQshp-founding-product-engineer",
        "location": "New York City",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $250K",
        "equity_range": "0.60% - 1.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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    ],
    "news": [
      {
        "title": "Why I started Interfere",
        "url": "https://interfere.com/blog/seed-announcement",
        "date": "Oct 13, 2026"
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    "id": 30794,
    "name": "Vulcan Technologies",
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    "website": "https://vulcan.ai/",
    "all_locations": "Austin, TX, USA",
    "long_description": "Vulcan builds agents for government and government-adjacent work. We currently sell two agents: Justinian and Trajan.\r\n\r\nJustinian is an AI agent coworker for people who work in and adjacent to American government. To power Justinian, we created the world’s largest legal and policy database and knowledge graph, accessible to our customers via our platform, email, and Slack.\r\n\r\nTrajan is a public-facing AI concierge built to help governments modernize service delivery. Hosted on a government website, Trajan helps businesses and citizens automatically complete permits, licenses, applications, and answer regulatory and legal questions.\r\n\r\nIn addition to government customers, Vulcan's agents serve regulatory, legal, policy, and government relations teams at major U.S. enterprises.",
    "one_liner": "Secure frontier AI for government & adjacent knowledge work",
    "team_size": 17,
    "industry": "B2B",
    "subindustry": "B2B -> Legal",
    "launched_at": 1750286926,
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    "isHiring": true,
    "nonprofit": false,
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    "city": "Austin",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/107852970",
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      "name": "Gustaf Alstromer",
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        "full_name": "Tanner Jones",
        "title": "Founder/CEO",
        "founder_bio": "Tanner studied PPE and Classics at Dartmouth. Previously, he founded and exited Downballot Solutions with Arvind Veluvali (Fresco AI, YC F24), a political campaign tech startup. Later, Tanner was the Technology and Regulatory Policy Director at Joe Lonsdale's Cicero Institute, where he was the 2024 employee of the year. Tanner also coached the 2021 speech and debate national champion, holds powerlifting records in two states, and qualified to the 2023 IPL world powerlifting championships.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/tanner-jones-817192167/",
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      },
      {
        "user_id": 2763395,
        "full_name": "Aleksander Mekhanik",
        "title": "Founder",
        "founder_bio": "Alek earned the prestigious Jack Byrne grant offered to the top math students at Dartmouth, where he studied electrical computer engineering with a focus in machine learning. Previously, Alek was a nationally competitive chess player and high school varsity athlete. He has also contributed to several startups as a machine learning engineer. Beyond Vulcan, Alek holds Ivy League and Arizona powerlifting records and qualified to USAPL collegiate nationals. ",
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        "linkedin_url": "https://www.linkedin.com/in/aleksander-mekhanik-41547b272/",
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      {
        "user_id": 2861757,
        "full_name": "Chris Minge",
        "title": "Founder/CTO",
        "founder_bio": "Chris studied computer science and philosophy at Princeton University, graduating in 2022. After graduating, he was a software engineer at Google, where he worked on ML infrastructure, supporting Gemini, Waymo, Vertex AI, and other services.",
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    "jobs": [
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        "id": 94497,
        "title": "Deployed Agent Orchestrator",
        "url": "https://www.ycombinator.com/companies/vulcan-technologies/jobs/9AEdHvC-deployed-agent-orchestrator",
        "location": "Austin, TX, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$90K - $300K",
        "equity_range": "0.01% - 0.20%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
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      },
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        "id": 95663,
        "title": "SDR / BDR",
        "url": "https://www.ycombinator.com/companies/vulcan-technologies/jobs/vW21mUl-sdr-bdr",
        "location": "Austin, TX, US",
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        "title": "Security Engineer",
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        "location": "Austin, TX, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$140K - $200K",
        "equity_range": "0.05% - 0.20%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": [
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      {
        "id": 104066,
        "title": "Security Compliance Lead",
        "url": "https://www.ycombinator.com/companies/vulcan-technologies/jobs/yMnFWdc-security-compliance-lead",
        "location": "Austin, TX, US",
        "type": "Full-time",
        "role": "Support",
        "role_type": null,
        "salary_range": "$140 - $250",
        "equity_range": "0.05% - 0.20%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
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    ],
    "news": [
      {
        "title": "Vulcan partners with Texas to help public navigate regulations, licensing | StateScoop",
        "url": "https://statescoop.com/texas-efficiency-office-launches-ai-chatbot-to-help-public-navigate-regulations-licensing/",
        "date": "May 15, 2026"
      },
      {
        "title": "Vulcan Technologies raises $11M to navigate regulations",
        "url": "https://www.axios.com/pro/enterprise-software-deals/2025/10/09/vulcan-technologies-11-million-seed-govtech",
        "date": "Oct 09, 2025"
      },
      {
        "title": "Vulcan Technologies Brings AI to the Heart of American Law",
        "url": "https://americanbazaaronline.com/2025/08/15/vulcan-technologies-brings-ai-to-the-heart-of-american-law-466303/",
        "date": "Aug 14, 2025"
      },
      {
        "title": "Virginia agencies required to use Vulcan's AI",
        "url": "https://reason.com/2025/07/23/virginia-is-using-ai-to-identify-illegal-and-redundant-regulations/",
        "date": "Jul 23, 2025"
      },
      {
        "title": " Virginia Executive Order for Vulcan's Agentic AI Regulatory Analysis ",
        "url": "https://www.govtech.com/artificial-intelligence/virginia-to-use-agentic-ai-to-power-review-of-regulations",
        "date": "Jul 14, 2025"
      }
    ],
    "launches": [
      {
        "id": 92391,
        "title": "Vulcan Technologies — Virginia Required Our Product by Law",
        "tagline": "AI to Write Laws and Regulations",
        "body": "# Vulcan Technologies\n\n**We are deleting red tape and replacing expensive consultants with AI tools that empower elected officials to actualize the public will and interest.**\n\n[**Virginia Required Our Product by Law**](https://www.youtube.com/watch?v=Y43b3UvgJIg)\n\n## Traction\n\n* **Governor of Virginia**: Signed Executive Order last week embedding our invention, “AI agentic regulatory review,” into Virginia's regulatory processes, memorializing our ongoing contract\n* **Acquired RegsBot**: Our biggest competitor\n* **Advisory Board**: Stanford Hoover Institute economics PhD (20+ years regulatory research) + Top-5 law school JD (2 White House tours, 20+ years law/policy)\n\n## The Problem\n\nElected officials — representatives, senators, governors, and presidents — write laws and executive orders to actualize their campaign promises and, in theory, serve the public will and interest. These newly-minted laws and executive orders are then passed to regulatory agencies in the executive branch, occupied by thousands of bureaucrats and contractors, who write regulations and guidance documents designed to implement laws and executive orders.\n\nIn the status quo, the regulatory implementation process is sluggish and highly bureaucratic. Each regulatory change must cohere with all existing state law, federal law, and case law; otherwise, agencies risk litigation and the loss of their budgets. Consequently, agencies spend millions of dollars and years hiring consultancies and law firms just to double-check that their proposed implementation of laws and executive orders is actually lawful.\n\nEach step in this onerous and years-long iteration loop creates new arenas for political conflict, wastes taxpayer dollars, and means that the public will, exercised by elected officials, is not actually implemented.\n\n![uploaded image](/media/?type=post&id=92391&key=user_uploads/2746243/4e87c9c9-7341-4361-89f9-c6c663073ba2)\n\n## Our Solution: AI Legal Cartography\n\nOur agentic scraper reflects the entire American legal corpus (statutes, regulations, case law, in all jurisdictions) and our proprietary AI knowledge graph maps relationships between legal nodes. Examples: court precedent nullifies federal law, federal law supersedes state law, federal funding demands state compliance, etc.\n\nOur system:\n\n* Instantly redlines proposed regulations\n* Responds to public comment\n* Drafts legislative language\n* Illuminates compliance violations while generating lawful alternatives\n\nWe enable elected officials and their appointees to execute policy changes without wasting time and tax dollars on legal complexities and consultant dependencies.\n\n## The Team\n\nWe came together because we believe AI can and should strengthen America's democratic institutions.\n\n**Tanner** turned down Harvard Law School and left his job as Technology and Regulatory Policy Director at Joe Lonsdale's Cicero Institute where he worked on AI and regulatory policy in 30 states. Previously he worked for Andrew Yang's presidential campaign and wrote his Dartmouth thesis about the \"ontology of American regulation.\"\n\n**Alek** dropped out of Dartmouth where he studied Machine Learning, was a chess champion, and a recipient of the Jack Byrne grant for Dartmouth's top math students. Alek also worked as an AI engineer at several startups before founding Vulcan.\n\n**Chris** left Google where he built ML infrastructure for Gemini and Waymo. Before Google, Chris studied CS and Philosophy at Princeton. Chris became passionate about regulatory reform and leveraging AI to improve policy after following SF politics and the emergent abundance movement.\n\n## Asks\n\n* **Agency connections** — state and federal agencies, legislative counsels, regulatory affairs, anyone in government to whom we can sell\n* **Govtech sales wisdom** — government contracting as a startup is uniquely challenging and we would love to pick the brains of anyone with experience\n* **Legal/regulatory expertise** — administrative law attorneys who understand the compliance landscape\n* **Government veterans** — folks with credibility and gravitas who have occupied senior roles in state and federal government agencies\n* **Feedback on our vision** — we are building AI that empowers elected officials to implement durable policy changes\n\n## Our Ideology\n\nWe see a dialectic in AI and government: totalitarianism (algorithmic control and surveillance undermining freedom) vs. humanism (AI empowering innovation and responsive government, unlocking unprecedented freedom, creativity, and individualism).\n\nAt Vulcan, we are building the humanist future — tools that empower elected officials to serve the public interest without bureaucratic capture.\n\nOur core belief is this: as AI gets better, our Republic should get better too.\n\n**Contact**: [founders@vulcan-tech.com](mailto:founders@vulcan-tech.com)\\\n**Website**: [www.vulcan-tech.com](http://www.vulcan-tech.com)",
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        "votes": 24,
        "created_at": "2025-07-24T15:42:20.775Z"
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    "name": "NOSO LABS",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "In the home services industry, field technicians are expected to handle three key tasks: diagnosing issues, making sales, and completing paperwork. It's rare to find individuals who excel at all three. We build AI agents to support technicians by improving diagnostic accuracy and helping them capture sales opportunities.",
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    "team_size": 6,
    "industry": "Industrials",
    "subindustry": "Industrials",
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      "America / Canada"
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        "full_name": "Winston Chi",
        "title": "Founder/CEO",
        "founder_bio": "AGI for the trades\nPreviously, founder of butter technologies, acquired by Grubmarket\n",
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        "full_name": "Alex Xi",
        "title": "Founder/CTO",
        "founder_bio": "Currently working on AI agent for trade industry, starting from HVAC \nPreviously, Principle Engineer led Code LLM | ex-ByteDance AI | ex-Meta AI | PhD",
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        "id": 79690,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/noso-labs/jobs/aG9qbus-founding-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
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        "role_type": "Full stack",
        "salary_range": "$120K - $200K",
        "equity_range": "0.10% - 0.50%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
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        "title": "GTM role",
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    "subindustry": "Fintech -> Credit and Lending",
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        "full_name": "Joshua March",
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        "founder_bio": "I’m the Founder & CEO of Veritus Agent, an AI agent platform the consumer lending industry. I’ve been a serial founder with multiple exits, including enterprise SaaS company Conversocial, acquired by Verint (VRNT), and I was the co-founder & CEO of a16z-backed SCiFi Foods. I’m also the author of Message Me, a book about the future of customer service in the era of AI and social media. ",
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        "full_name": "David Schlesinger",
        "title": "Founder",
        "founder_bio": "Co-founder at Veritus Agent. 10+ experience in startups including Divvy Homes and Cloudflare.",
        "is_active": true,
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        "user_id": 2397,
        "full_name": "Joseph Stein",
        "title": "Founder",
        "founder_bio": "Co-founder of Veritus Agent, an AI-powered debt buyer and collections platform. 10+ years in startups, including one acquired by Fitbit → Google",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/josephstein1",
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        "id": 88326,
        "title": "Forward Deployed Software Engineer",
        "url": "https://www.ycombinator.com/companies/veritus/jobs/ikiycL5-forward-deployed-software-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$150K - $200K",
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        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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        "id": 92571,
        "title": "Full Stack Engineer",
        "url": "https://www.ycombinator.com/companies/veritus/jobs/pfkev5c-full-stack-engineer",
        "location": "San Francisco, CA, US",
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        "salary_range": "$180K - $250K",
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        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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        "id": 102215,
        "title": "Founding Account Executive",
        "url": "https://www.ycombinator.com/companies/veritus/jobs/bcAsnPw-founding-account-executive",
        "location": "San Francisco, CA, US",
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        "equity_range": "0.10% - 0.25%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 112658,
        "title": "Customer Success Manager (Growth)",
        "url": "https://www.ycombinator.com/companies/veritus/jobs/VK812Ko-customer-success-manager-growth",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$120K - $150K",
        "equity_range": "0.05% - 0.20%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
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      {
        "id": 92595,
        "title": "Veritus — AI voice agents for lenders from origination through collections",
        "tagline": "AI agents that help lenders improve conversion rates, decrease servicing costs, and increase recoveries",
        "body": "Hi YC,\n\n**We’re excited to introduce Veritus Agent,** founded by [Joshua March](https://www.linkedin.com/in/joshuamarch/), [Joey Stein](https://www.linkedin.com/in/josephstein1/), and [David Schlesinger](https://www.linkedin.com/in/davidschles/) to help lenders improve conversion rates, decrease servicing costs, and increase recoveries by deploying voice agents across their operations. \n\nJoshua is a serial entrepreneur and the former CEO of Conversocial, which became the leading platform for social media customer service before its acquisition by Verint. Joey and David are seasoned software engineering leaders who met while building core systems at Divvy Homes, the pioneering billion-dollar rent-to-own fintech.\n\n**The U.S. consumer lending market is enormous,** spanning origination, servicing, and collections. In the U.S. alone, consumer credit originations total over $4 trillion annually, while outstanding loans across all categories exceed $18 trillion. The collections segment is responsible for recovering roughly $100 billion from a pool of over $400 billion in delinquent debt. These businesses are all high-touch and highly regulated, yet they remain dominated by manual, phone-based and mail-based outreach—resulting in high operational costs, poor borrower experiences, and billions in missed revenue.\n\n**Everyone in the space is talking about voice AI, but very few are deploying it effectively.** Lenders and collections agencies today are forced to choose between generic AI platforms that lack regulatory rigor or vertical-specific vendors that offer turnkey solutions with no room for customization.\n\n**At Veritus, we’re combining decades of loan servicing experience with deep expertise in agentic workflows to deliver a scalable, configurable AI platform.** Our agents can handle both inbound and outbound conversations while maintaining full context across voice, SMS, email, and chat; they’re regulation compliant right out of the box; and they can be tuned to match a lender’s brand, tone, and negotiation policies. Most importantly, they operate with perfect consistency—24/7.\n\nWe are licensing our platform to lenders, fintechs, servicers, and collections agencies across the entire loan servicing stack; while also getting fully licensed as a collections agency in all fifty US states and buying and collection on our own charged-off consumer debt. This hybrid model gives us exposure to both high-margin software revenue and the upside of direct collections.\n\nOur agents are already live today, executing both first-party collections and loan origination workflows.\\\n\\\n**We’re now looking for new design partners—lenders, servicers, fintechs, or collections agencies—who want to increase recovery rates, reduce costs, and modernize their approach to customer contact.** \\\n\\\nIf that’s you, get in touch: [founders@veritusagent.ai](mailto:founders@veritusagent.ai)\n\n![uploaded image](/media/?type=post&id=92595&key=user_uploads/2833935/52cb8722-d224-4d08-935a-c3efa7d0722d)\n\n",
        "url": "https://www.ycombinator.com/launches/O5T-veritus-ai-voice-agents-for-lenders-from-origination-through-collections",
        "votes": 21,
        "created_at": "2025-07-31T07:35:20.206Z"
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    "id": 30799,
    "name": "Avent",
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    "website": "https://www.aventindustrial.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Avent helps manufacturers and industrial distributors run quoting and order entry on autopilot. \r\n\r\nOur AI agents manage sales inboxes, build quotes from past pricing and tribal knowledge, and keep records up to date in existing ERPs.",
    "one_liner": "AI agents for industrial commerce",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1755109512,
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    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/aventindustrial",
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        "full_name": "Abhay Kalra",
        "title": "Founder/CEO",
        "founder_bio": "Abhay is the Founder and CEO of Avent. Abhay studied Electrical Engineering and Computer Science at UC Berkeley, where he conducted computer vision research for defect detection in manufacturing.\n\nBefore Avent, Abhay was an operator in the manufacturing and industrial distribution space.",
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        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/avent/jobs/3lI2Vgv-founding-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
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        "equity_range": "1.00% - 2.00%",
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      },
      {
        "id": 93159,
        "title": "Founding Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/avent/jobs/WD2kTsF-founding-forward-deployed-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$100K - $130K",
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        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
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          "TypeScript",
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      {
        "id": 93001,
        "title": "Avent – AI Agents for Industrial Commerce",
        "tagline": "We automate quoting and order entry for industrial distributors using AI",
        "body": "Hey everyone [👋](https://emojipedia.org/waving-hand)\n\nI’m [Abhay](https://www.linkedin.com/in/abhay-kalra-683688214/) – founder of [Avent](https://www.aventindustrial.com/).\n\n# **TL;DR**\n\n**Avent builds the AI inside sales rep for industrial distributors and manufacturers**. Our AI sales rep automates quoting, order entry, and product search so the human sales teams at these companies can spend time with customers again.\n\n**_Ask_:** Can you introduce us **distributors, manufacturers or IMR’s (Independent Manufacturer Reps)**? \\\nContact us at [founders@aventindustrial.com](https://mailto:founders@aventindustrial.com)\n\nhttps://youtu.be/hvfU-DMfRG0?feature=shared\n\n# **📉 The Problem**\n\nI saw firsthand as an operator that growth in distribution is capped almost entirely by hiring. It’s hard to find good sales talent, and even harder to retain.\n\n* Sales teams spend most of their day quoting, entering orders, and chasing product data instead of talking to customers.\n* Training new reps takes months, and **more than 50% of the workforce will retire this decade**.\n* Critical knowledge lives in inboxes or people’s heads, and disappears when they leave.\n\nThe result: companies can’t scale beyond the speed of hiring, while service slows and relationships suffer.\n\n---\n\n# **📈 Our Solution**\n\n![uploaded image](/media/?type=post&id=93001&key=user_uploads/1006692/0ab6182e-5b8b-4bf9-9d33-3a0a0668e079)\n\nAvent watch every channel where customer requests arrive—email, fax, phone:\n\n* **Quoting:** When a customer asks for a price, Avent finds the correct product and pricing, generates the quote, and prepares it to send.\n* **Order Entry:** When the customer follows up with a purchase order (PO), Avent matches it to the earlier quote, creates the sales order, and inputs it into the company’s ledger\n* **Procurement:** Never lose an order. If a customer needs something that’s not in stock, Avent will find the best cost from in-network distributors and quote\n\nAvent generates over **$200,000 worth of quotes every day** for distributors across North America and the UK.\n\n![uploaded image](/media/?type=post&id=93001&key=user_uploads/1006692/74e0b3b9-44b2-42d8-bdeb-e9affaaf7f39)\n\n---\n\n# **The Story**\n\nI grew up in factories, and as kids my older brother and I would spend hours talking about how to take it to the next level. Every brainstorm somehow ended in the same place: _hiring_. Turns out, that wasn’t just our problem. It’s everyone’s problem in distribution.\n\nAvent is what I wish we had back then!\n\n---\n\n![uploaded image](/media/?type=post&id=93001&key=user_uploads/1006692/63fcdd55-f8ed-41b2-a7e6-bf366a33292f)\n\n",
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    "id": 30801,
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    "long_description": "Food Supply Chain companies have been using legacy ERPs for decades. Everyone knows these are necessary evils that essentially run the business but take up a lot of operational capacity. They are not about to just rip and replace their existing system that runs their whole business with a system that takes years to implement. Imagine if they could implement AI that runs the ERP for them, in weeks?\r\n\r\nBurnt’s building an agentic OS for the Food Supply Chain with AI Agents for each department. \r\n\r\nOur AI Agent, Ozai, has started by replacing the whole order management job function at food distribution companies, so that sales and customer service teams can focus on what matters - the customer. Ozai monitors all incoming messages (emails, phone calls, voicemails, whatsapp, fax etc.), figures out if it's an order, learns each customer's habits, shorthand, and favorite products, picks up on any prep notes, and enters it straight into the existing ERP. It'll even go back to the customers on your behalf when it's not sure about something, clarify things and carry on working. \r\n\r\nThe more it sees, the smarter it gets. \r\n",
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    "team_size": 3,
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    "stage": "Early",
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    "year_founded": 2023,
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    "country": "US",
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        "full_name": "Joseph Jacob",
        "title": "Founder/CEO",
        "founder_bio": "Spent my whole career in food supply chain, intimately understanding the pain points at each step of the supply chain. Now we're reinventing the fundamental technical infrastructure that the industry is run on. ",
        "is_active": true,
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        "full_name": "Rhea Karimpanal",
        "title": "Founder/CPO",
        "founder_bio": "Product at burnt! Creativity is my jam, details matter to me, and I’m all about understanding how people in food relate to technology.",
        "is_active": true,
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        "user_id": 1132019,
        "full_name": "Chandru Shanumugasundaram",
        "title": "Founder/CTO",
        "founder_bio": "Built backed systems for Legal tech, Dev tools, Banking, Restaurant applications. Currently building agents for food distributors and suppliers.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/chandrushanmugasundaram",
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    "jobs": [
      {
        "id": 78174,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/burnt/jobs/ye39lFB-founding-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$125K - $250K",
        "equity_range": "0.10% - 1.50%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
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    "news": [
      {
        "title": "Steph Curry's VC firm just backed an AI startup that wants to fix food supply chains | TechCrunch",
        "url": "https://techcrunch.com/2025/09/25/steph-currys-vc-firm-just-backed-an-ai-startup-that-wants-to-fix-food-supply-chains/",
        "date": "Sep 25, 2025"
      }
    ],
    "launches": [
      {
        "id": 92977,
        "title": "Burnt - Agentic OS for Food Supply Chain",
        "tagline": "We’re building AI agents that automate order entry for food distributors",
        "body": "# **TL;DR**\n\nLegacy ERPs may run the business for food distributors, but they come at a steep cost - manual order entry alone can consume 10-50 people’s time that should be spent on sales and customer service. Ripping these systems out would take **years**, cost **millions**, and probably spark a small mutiny. Meanwhile, flashy e-commerce storefronts have flopped harder than day-old soufflé.\n\nBurnt deploys AI Agents directly inside these ERPs, starting with a Sales AI Agent that completely replaces the order management job function.\n\nWe’re working with large distributors across meat, seafood, and specialty ingredients - 97% of their orders now run end-to-end without people & 90% of order-entry staff shifted into sales.\n\nWe’re building supply chain superintelligence so that independent food distributors can compete with the US Foods and Sysco. \n\n\\____________________\\_\n\n# **The Problem**\n\nFood distributors that supply restaurants rely on decades-old legacy ERPs - critical to operations but slow, inflexible, and dependent on armies of people to run.\n\nPast attempts to automate these workflows have failed:\n\n* **RPA** works only for structured PDFs, not for the messy reality of food orders coming via emails, calls, texts, WhatsApp, and fax.\n* **E-commerce storefronts** have low adoption, 12-24 month implementation cycles and come at a high cost - both financially and emotionally - for distributors, while still failing to address the nuances of the industry.\n\nThis leaves distributors buried in manual work. Customer service teams are the perfect example of this issue -  they spend most of their time re-typing orders instead of building relationships.\n\n\\____________________\\_\n\n# **Our Solution**\n\nhttps://youtu.be/hRgpT2I1XAk\n\nBurnt’s AI Agents operate inside existing ERPs - no rip-and-replace required.\n\nOur first agent, **Ozai**, monitors all incoming sales channels (email, text, voicemail, WhatsApp, fax – **even phone calls**), learns each customer’s shorthand, habits, and favorite products, interprets prep notes, and enters the order directly into the ERP.\n\nIf something’s unclear, Ozai asks the customer for clarification and continues processing without breaking the workflow. The more it sees, the smarter it gets. \n\nWe’re live with some of the most respected independent distributors in the business, who’ve used our AI to double down on customer relationships instead of data entry - all in just a matter of weeks.\n\n\\_______________\\_\n\n# **Vision**\n\nWe’re not just automating order entry anymore - our customers are turning to Burnt, eager for us to take on tasks like automated credit control & procurement.\n\nOur mission? We’re building towards a plug-and-play OS that predicts and executes business decisions before humans need to act.\n\n\\_______________\\_\n\n# **Team**\n\n![uploaded image](/media/?type=post&id=92977&key=user_uploads/651960/b94f25ba-340d-4a63-bca3-4c32b129f264)\n\n* **JJ (Joseph Jacob), CEO** -  worked in every part of the food supply chain from farm to table; has bought over 400M lbs of shrimp in his career. Comes from a family with 85 years in the seafood industry.\n* **Rhea, CPO** -  grew up around restaurants, with a design eye that ensures our AI feels invisible yet impactful.\n* **Chandru, CTO** -  built a custom ERP for his dad’s factory as a teenager; obsessed with tech that solves messy, real-world operations.\n\nWe’ve been right there in the thick of it - on factory floors, in seafood markets, and out in the warehouses.",
        "url": "https://www.ycombinator.com/launches/OBd-burnt-agentic-os-for-food-supply-chain",
        "votes": 15,
        "created_at": "2025-08-14T01:00:27.362Z"
      }
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  },
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    "id": 30802,
    "name": "Freya",
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    "website": "https://freyavoice.ai/",
    "all_locations": "Istanbul, Istanbul, Turkey",
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    "one_liner": "Voice AI for Enterprises",
    "team_size": 14,
    "industry": "Fintech",
    "subindustry": "Fintech",
    "launched_at": 1754641408,
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    "isHiring": true,
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    "batch": "Summer 2025",
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    "stage": "Early",
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    "year_founded": 2025,
    "city": "Istanbul",
    "country": "TR",
    "linkedin_url": "https://www.linkedin.com/company/freyavoice/",
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    "founders": [
      {
        "user_id": 1772708,
        "full_name": "Tunga Bayrak",
        "title": "Founder/CEO",
        "founder_bio": "CEO and Co-founder of Freya. Previously, he built VLMs for geometric reasoning and worked on Audio Transformers as an AI research engineer. As a Math Olympian, ranked 1st among 250,000 students at the Urfodu Math Olympiad and later 203rd Turkey’s national exams out of 3.5M+. At 16, he wrote his first paper on Quantum Machine Learning. Before dropping out of UPenn, he was a Teaching Assistant in the Engineering School and part of an AI Research team at Penn. ",
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        "id": 93460,
        "title": "DevOps Enginer",
        "url": "https://www.ycombinator.com/companies/freya/jobs/bSSekLA-devops-enginer",
        "location": "Istanbul, İstanbul, TR / Remote (TR)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Devops",
        "salary_range": "$50K - $70K",
        "equity_range": "100.00%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
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        "title": "Forward Deployed Engineer (2 openings)",
        "url": "https://www.ycombinator.com/companies/freya/jobs/crW5Fe8-forward-deployed-engineer-2-openings",
        "location": "Istanbul, İstanbul, TR",
        "type": "Full-time",
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        "role_type": "AI engineer",
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    "launches": [
      {
        "id": 92841,
        "title": "Freya: Voice AI Agents For Financial Services",
        "tagline": "We Improve CX And Operations Through Human-like And Secure Voice Agents ",
        "body": "**TL;DR:**\n\nAt Freya, we’re building human-like Voice AI agents for banks, mortgage lenders, fintechs, and insurers. We integrate directly into existing workflows, handle dozens of languages and local dialects, and follow compliance policies by ingesting and reasoning over internal policy manuals, regulatory documents, and industry guidelines.\n\nhttps://youtu.be/uO0D6RtJzoE\n\n**Result**: 0 wait time that prevents revenue loss, more than 50% lower costs than traditional call centers, and Voice AI that customers actually want to talk to, all with secure data handling, transcripts, and analytics.\n\n**The Problem:**\n\n* Human customer service agents are expensive. BFSI (Banking, financial services, insurance) firms spend billions staffing live phone support; 60% of CX budgets are still spent hiring and training human agents..\n* Churn & wait times. 40% of callers bail after 60 seconds on hold. Each extra minute in insurance claims or debt collection flows drives churn or lost recovery.\n* One-size-fits-none bots frustrate users: Most generic AI tools can’t reason over policies or edge cases, and fall apart when users deviate from the script.\n\n**Our Solution:**\n\n1. Instant 24/7 support customized to workflows: Freya removes hold times by operating around the clock and tailoring responses to your processes so customer issues are resolved without delay.\n2. Human-like Voice AI with seamless integration: Freya connects directly into CRMs, ticketing platforms, knowledge bases, policy databases, and other back-end support systems. This allows it to securely retrieve live data such as account status or policy details, update records in real time, trigger workflows, and send follow-up emails or documents automatically\n3. Voice AI with built-in compliance: Freya ingests and understands firm-specific policy documents, regulatory guidelines and operational procedures to ensure every interaction meets required rules, with all calls logged and auditable.\n\n**Our Team**\n\nWe were roommates at UPenn and started Freya as our second startup together. Before Freya, [Tunga](https://www.linkedin.com/in/tunga-bayrak/) worked as an AI engineer while [Tomas](https://www.linkedin.com/in/tomas-nepala/) worked within financial services, including in the second biggest insurance broker in the world, and we both experienced how customer support teams struggle with large volumes of calls and with providing the outcomes customers really need. We’re building Freya to solve this.\n\n![uploaded image](/media/?type=post&id=92841&key=user_uploads/1373730/c8f614db-a31a-4fb0-84c5-5dca537f4197)\n\n**Who Should Talk To Us:**\n\nHeads of CX, operations, collections or claims in financial services and retail that rely on traditional call centers.\n\nYou can reach us at [founders@freyavoice.ai](https://founders@freyavoice.ai)",
        "url": "https://www.ycombinator.com/launches/O9R-freya-voice-ai-agents-for-financial-services",
        "votes": 26,
        "created_at": "2025-08-08T19:46:34.998Z"
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    "id": 30804,
    "name": "Luminal",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Luminal builds an ML framework and compiler that generates GPU code.\r\nOur stack 10x's model speed while simplifying deployment and cutting idle GPU costs\r\n\r\nGithub: https://github.com/luminal-ai/luminal\r\nDiscord: https://discord.gg/APjuwHAbGy",
    "one_liner": "Making AI run fast on any hardware.",
    "team_size": 7,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1752295982,
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      "Developer Tools",
      "Cloud Computing",
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    "batch": "Summer 2025",
    "status": "Active",
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        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "Most people running their own AI models are lighting money on fire and don’t even know it. The rush to get to market first means nearly every AI company is leaving thousands of dollars on the table every MONTH by not optimizing their models. That’s why we made Luminal.\r\n\r\nIf you want your team spending more time making the world’s best models and less time optimizing hardware and cloud infrastructure, we’re for you!"
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      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "At Luminal, we’re taking a bold swing at redefining how machine learning engineers interact with the core compute layer powering AI. When we succeed, the world’s intelligence stacks will be faster, simpler, and more robust. The hardware is ready for AI performance, the low-level code is not.\r\n\r\nSolving the software layer destroys NVIDIA’s moat and democratizes compute for AI"
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    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
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      {
        "user_id": 1374217,
        "full_name": "Joe Fioti",
        "title": "Founder/CEO",
        "founder_bio": "Generating GPU kernels automatically to speed up ML models. Ex-Intel, worked on CPU microcode and ML accelerators.",
        "is_active": true,
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        "user_id": 1927303,
        "full_name": "Matthew Gunton",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder at Luminal AI. Ex-Amazon engineer, with globally deployed projects automatically finding issues in the Amazon fulfillment network and cost effectively fixing them",
        "is_active": true,
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        "full_name": "Jake Stevens",
        "title": "Founder",
        "founder_bio": "Cofounder at Luminal: generating GPU kernels automatically to speed up ML models. Ex-Apple. Talk to me about donuts or compilers or both :)",
        "is_active": true,
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        "id": 80694,
        "title": "Compiler Engineer",
        "url": "https://www.ycombinator.com/companies/luminal/jobs/GAXg6qE-compiler-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$150K - $250K",
        "equity_range": "0.15% - 0.75%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
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      {
        "id": 83575,
        "title": "Cloud Inference Engineer",
        "url": "https://www.ycombinator.com/companies/luminal/jobs/J87U2SS-cloud-inference-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
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        "visa": "US citizen/visa only",
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      {
        "id": 94688,
        "title": "Senior Compiler Engineer",
        "url": "https://www.ycombinator.com/companies/luminal/jobs/7Bgke65-senior-compiler-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$200K - $350K",
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    "news": [
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        "title": "Luminal raises $5.3 million to build a better GPU code framework | TechCrunch",
        "url": "https://techcrunch.com/2025/11/17/luminal-raises-5-3-million-to-build-a-better-gpu-code-framework/",
        "date": "Nov 17, 2025"
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    "launches": [
      {
        "id": 92298,
        "title": "Luminal - PyTorch for Production",
        "tagline": "Luminal automatically speeds up and deploys your PyTorch models",
        "body": "Hey we’re Joe, Jake, and Matthew, cofounders of Luminal. \n\nLuminal is an [open-source](https://github.com/jafioti/luminal) ML compiler that generates blazingly fast CUDA kernels and makes deploying AI to production one line of code. We’re already powering research at Yale, production workloads at VC-backed startups and several research labs.\n\nhttps://youtu.be/Rgo15NY9K-8\n\n**TLDR:**\n\n* Our drop-in upgrade to PyTorch automatically generates complex GPU kernel code, like Flash Attention, with zero hand-engineering\n* We provide truly serverless deployments; no idle costs or cold starts.\n* By not relying on pretrained LLMs or hand-written optimizations, we can reliably speed up any model\n\n**Ask:**\n\n* [Book a meeting](https://calendly.com/accounts-luminalai/30min) if you write PyTorch and want your models to run fast\n* [Star us on github](https://github.com/jafioti/luminal) and try Luminal right now on your own laptop!\n* Email us if you know someone who runs custom models: [contact@luminalai.com](https://mailto:contact@luminalai.com)\n\n—\n\n### **The problem:**\n\nMost people running their own AI models are lighting money on fire and don’t even know it. AI teams are frustrated when moving their model from dev to production. They either fall into dependency hell or kill their model’s speed. Today, **companies waste millions of dollars on GPU engineering** teams to optimize new models before they can be served to users.\\\n—\n\n### **How Luminal solves it:**\n\n**Luminal replaces a process that companies pay GPU engineers $300k+ a year to do.**\n\nOur key insight is that by treating optimization as a search problem, we’re able to automatically discover extremely complex optimizations in minutes that would take a GPU expert weeks. We use a series of ‘rewrite rules’ to create millions of graphs to describe your model, generate kernel code for each and then search for the fastest one based on runtime.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXfNzLo_zAkiYY_fsEQMseEQZXpdFjn0chhSJ8Wn-0WOkSHGblAi1XseXLIbZsiim6z8_AiWxx6wuzTuCQYfNe2ELulijuOBR5b_1x4-kzEoxEoxutW0qv127MHbl1Lu6YLIJBfP_A?key=gRJ545K4hfVVtN0eX-o_ZQ)\n\n_Example of a complicated kernel on the left that Luminal automatically sped up, on the right._\n\nLuminal is:\n\n1. **Closing the research → engineering gap.** Because we auto-generate optimized GPU code directly from your PyTorch, a brand-new model can go from research notebook to production in hours instead of weeks\n2. **Writing blazing fast models.** Luminal generates kernels that would take a seasoned GPU engineer weeks of painstaking profiling and tuning to write.\n3. **Future-proofing AI for new chips**. We can rerun our compiler on fresh hardware to get new optimal kernels so you're never out of date.\n\n—\n\n### **You should reach out if:**\n\n* You’re an AI researcher or ML engineer\n* You’d like to lower your compute bill by **tens of thousands of dollars a month**\n* You work at a company that runs their own **custom models**\n\nIf you want your team spending more time making the world’s best models and less time optimizing hardware and cloud infrastructure, we’re for you!\n\n—\n\n### **The Team:**\n\n[Joe](https://www.linkedin.com/in/joe-fioti-24a986189/) - ex Intel, every Intel chip sold has the AI accelerator Joe worked on. He has extensive experience optimizing performance at the silicon level.\n\n[Matt](https://www.linkedin.com/in/matthewjgunton/) - ex Amazon where his software handled finding and automatically fixing issues within the global inventory network 24/7\n\n[Jake](https://www.linkedin.com/in/jake-stevens-/) - ex Apple Jake worked on imaging at Apple for your iPhone. He’s been a founder (with an exit) and head of growth at another startup that he grew to \\~$5M ARR.\n\nSend us an email: [contact@luminalai.com](https://mailto:contact@luminalai.com)\n\n[Book a call with us](https://calendly.com/accounts-luminalai/30min)\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXd1hRLOasxYQ38r0AmMN9fTC9-BatUjGjE9-BXM21-w8PRvhBJVeYAc3pWlLPVlmTtnP3jG9Pa5HmUIGTYaZ93ClC-M-CRx0nkNw-DgS3Wh28xWXaUzXVwL_XPCNUL8JyTd_9FmBA?key=gRJ545K4hfVVtN0eX-o_ZQ)\n\n",
        "url": "https://www.ycombinator.com/launches/O0g-luminal-pytorch-for-production",
        "votes": 127,
        "created_at": "2025-07-20T17:12:19.542Z"
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    "id": 30806,
    "name": "Uplift AI",
    "slug": "uplift-ai",
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    "website": "https://upliftai.org/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We build Voice Models for regional languages (like Urdu, Bengali, Greek etc) and make them available through simple APIs and SDKs. \r\nDevelopers use us to create Voice-first digital experiences (eg. Voice eCommerce, Voice Banking, Voice AI Tutors etc).\r\n\r\nWe gather our own data, develop our own labelling tools, train our own models, and design our own voice infra. This fully integrated approach enables us to offer the best models and the best developer experience for regional languages.\r\n\r\n---\r\n\r\nPeople who would previously never use certain digital services (like online ordering), actually use the service when they are given an intuitive Voice based interface.\r\nWe believe that Voice Interfaces will onboard 100s of millions of new users onto digital services; and double the addressable market for technology companies. \r\nUplift AI will provide the best models to create these Voice Interfaces for 60% of the world's population that only speaks their regional language and represents 42 trillion dollars in GDP.",
    "one_liner": "Foundational Voice Models for regional languages",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1750590533,
    "tags": [
      "Speech Recognition",
      "Conversational AI"
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    "nonprofit": false,
    "batch": "Summer 2025",
    "status": "Active",
    "industries": [
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    "regions": [
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      "America / Canada",
      "Remote",
      "Partly Remote"
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    "demo_day_video_public": false,
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    "question_answers": [
      {
        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "Hammad left Apple and took a year off to figure out what he wanted to do with the next decade of his career.\\\r\nFirst month: finished netflix :) \\\r\nThen he spent two months reviewing 20 years of voice tech research papers in chronological order… and somewhere in there realized that there is an opportunity to make amazing voice models for smaller languages — faster than big tech."
      },
      {
        "question": "What's the history of your company from getting started until the present day? What were the big inflection points?",
        "answer": "One way I will answer this question. For now i will use it to increase SEO ranking for a new product we are trying. <https://upliftai.org/ai-calling>"
      },
      {
        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "At the core, we are solving the problem of universal access to digital knowledge and digital services. \\\r\n\\\r\nPeople who would previously never use certain digital services (like online ordering, or online health advice), actually use the service when they are given an intuitive Voice based interface — especially in emerging markets.\\\r\n\\\r\nVoice Interfaces make it more natural and intuitive to use technology; and we believe it will onboard 100s of millions of new users onto digital services. This will make people more productive, and increase GDP per capita. "
      },
      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "When we truly succeed, the world will access technology through our Voice Tech.\\\r\n\\\r\nAnd the GDP per capita would increase around the world, as more people will be able to take full advantage of technology using intuitive voice interfaces. \\\r\n\\\r\nCurrently a large part of the world is unable to fully utilize technology coz text-interfaces are very confusing for many people."
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    ],
    "url": "https://www.ycombinator.com/companies/uplift-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/uplift-ai.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/upliftai/",
    "x_url": "",
    "fb_url": null,
    "cb_url": "https://upliftai.org/ai-calling",
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4c2008e580fb1146da7922b566c2a03af87f5a0c.png",
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    "company_photos": [],
    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
    },
    "founders": [
      {
        "user_id": 1455159,
        "full_name": "Hammad Malik",
        "title": "Founder/CEO",
        "founder_bio": "CEO at Uplift AI. Building Voice Models for regional languages. Previously developed voice technology at Apple Siri and Amazon Alexa for about 9 years.  Cornell University alumni.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/hammad2",
        "x_url": "",
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      },
      {
        "user_id": 650101,
        "full_name": "Zaid Qureshi",
        "title": "Founder/CTO",
        "founder_bio": "CTO at Uplift AI. Building Voice Models for regional languages. Previously:  Designed AWS Bedrock Guardrails.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/zaidqureshi",
        "x_url": "https://x.com/zqureshi_",
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    "jobs": [
      {
        "id": 103104,
        "title": "Founding Design Engineer",
        "url": "https://www.ycombinator.com/companies/uplift-ai/jobs/u9rZioW-founding-design-engineer",
        "location": "Lahore, Punjab, PK",
        "type": "Full-time",
        "role": "Design",
        "role_type": "Product design",
        "salary_range": "$1.5K - $2.5K / monthly",
        "equity_range": "0.10% - 0.50%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
          "CSS",
          "React",
          "TypeScript",
          "Prototyping",
          "Design systems",
          "Branding",
          "Marketing design",
          "Figma"
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      },
      {
        "id": 103116,
        "title": "Founding Engineer - Frontier Tuning Platform",
        "url": "https://www.ycombinator.com/companies/uplift-ai/jobs/rC1wCHI-founding-engineer-frontier-tuning-platform",
        "location": "Lahore, Punjab, PK",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$1.5K - $2.5K / monthly",
        "equity_range": "0.10% - 0.50%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
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          "React",
          "TypeScript",
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          "Evals",
          "MLOps"
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    "news": [],
    "launches": [
      {
        "id": 103672,
        "title": "Urdu-speaking AI models — really really desi style",
        "tagline": "Authentic Urdu AI voices — from nosey aunties to angry molvis.",
        "body": "We have trained an AI model called Orator, that speaks Urdu with human-like realism. To the best of our knowledge, it is the first model that can speak Urdu in an authentic way: the way everyday people speak Urdu in everyday life.\n\nWe have voices from “the whole mohalla“ (entire neighborhood). From angry molvis and nosey aunties, to thailay walas, and burger boys.\n\n**You can experience the voices at [UpliftAI.org](http://UpliftAI.org).** The website will allow you to experience dozens of voices in seconds by just clicking/hovering the circles.\n\n![uploaded image](/media/?type=post&id=103672&key=user_uploads/1455159/ac1e7d0f-ca3e-4fc0-aac6-4cc61a89797e)\n\n**Making the model**\n\nWe have put our heart into this work, and enjoying it more than any work we have ever done in the past.\n\nWe started with the map of Pakistan and asked: how do people sound in every district. That gave us the accent list.\n\nThen, we asked ourselves: what are all the unique characters we would interact with in a typical month as we go about our normal life. This gave us our character/persona list.\n\nWe then hired a leading voice producer and worked with him to hire voice actors and script writers, and then spent months doing voice recordings in studios in Karachi, Lahore, Quetta and Islamabad.\n\nOnce the voices were recorded, then we hired 50 contractors to label data.\n\nThe final and the simplest step was the model training. We trained a very small 32M param VITS2 inspired model.\n\nThe results are very encouraging.\n\n\\- Here is someone creating a story book using our voices: <https://shehryar-stories.up.railway.app/frontend/index.html>\n\n\\- Here is me just having fun with it: [https://www.linkedin.com/posts/hammad2_is-your-mom-complaining-about-massi-leaving-ugcPost-7468570160233107457-sbQ5/](https://www.linkedin.com/posts/hammad2_is-your-mom-complaining-about-massi-leaving-ugcPost-7468570160233107457-sbQ5/?utm_source=share&utm_medium=member_desktop&rcm=ACoAAAQRT3MBhOY-xG4s8JvUtCqBaUrSdpKe93Y)\n\n**Ask**\n\n* If you know anyone that may benefit from this, please do connect us.\n* If you know any actors, dubbers or media houses that would be interested in recording more characters, please do connect us.\n* I can be reached at: <https://www.linkedin.com/in/hammad2/> or [founders@upliftai.org](mailto:founders@upliftai.org) ",
        "url": "https://www.ycombinator.com/launches/Qy8-urdu-speaking-ai-models-really-really-desi-style",
        "votes": 7,
        "created_at": "2026-06-23T16:15:41.627Z"
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  },
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    "id": 30816,
    "name": "Digipals",
    "slug": "digipals",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a100705513555f60b674edacd7874b01e7bef2df.png",
    "website": "https://www.digipals.app/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Social networks are dead. Social media became more media than social. My friends aren't on social media anymore - it's one third ads, one third content from strangers, and one third AI slop. Our social lives are fragmented across dozens of different apps - iMessage, WhatsApp, Find My, Partiful, and Venmo. \r\n\r\nDigipals is the first AI-native social operating system that improves our relationships with friends. We built ambient AI agents that use social context from our location, calendar, and photos to take action and write code in our group chats. We are the last social platform anyone will ever need.\r\n\r\nLaunch Video\r\nhttps://youtu.be/KW2tjLl6sxM ",
    "one_liner": "The future of Social in the age of AI",
    "team_size": 3,
    "industry": "Consumer",
    "subindustry": "Consumer -> Social",
    "launched_at": 1762213106,
    "tags": [
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      "Social Media",
      "Social",
      "Social Network",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Fall 2025",
    "status": "Active",
    "industries": [
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      "Social"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/digipals",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/digipals.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/digipals-app",
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    "cb_url": null,
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      "url": "https://www.ycombinator.com/people/garry-tan"
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    "founders": [
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        "user_id": 1557194,
        "full_name": "Peggy Wang",
        "title": "Founder/CEO",
        "founder_bio": "CEO @ Digipals - building the future of Social in the age of AI\n\nConsumer Social + AI\n\nPrev - ex-cofounder/cto of ego, ai avatars for metaverse @ meta reality labs, behavior planning @ lyft self-driving, stanford cs/ai/robotics",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/peggy-wang-ai/",
        "x_url": "https://twitter.com/peggy_wang",
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        "user_id": 3126807,
        "full_name": "Mathew Matakovic",
        "title": "Founder",
        "founder_bio": "CTO of Digipals\nPreviously solo game dev on deadshot.io (2m MAU)",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/justatree/",
        "x_url": "https://x.com/GoalieSave25",
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    "jobs": [
      {
        "id": 80562,
        "title": "iOS/Android Full Stack Software Engineering",
        "url": "https://www.ycombinator.com/companies/digipals/jobs/oZmOW5w-ios-android-full-stack-software-engineering",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "iOS",
        "salary_range": "$4K - $5K / monthly",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Android",
          "Flask",
          "iOS",
          "Python",
          "React Native"
        ]
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 95189,
        "title": "Digipals - AI-native Group Chats that get you outside",
        "tagline": "Where AI makes us more social",
        "body": "Social media has become more media and less social. When I open up Facebook and Instagram, I don’t see any of my friends on it anymore - it’s one third ads, one third content from strangers on the internet, and one third AI slop. My friends are no longer on social media - I either meet up with them IRL or catch up with them in group chats.\n\nhttps://youtu.be/KW2tjLl6sxM \n\nWhat if your group chats could help get you a reservation... and help you split the bill? Now it can.\n\nWe're building an AI-native group chat app that helps you hang out with your friends more. Your AI agent (digipal) knows your location, calendar, relationship history, and photos. It talks with your friends' digipals to coordinate IRL hangouts automatically - suggesting times when everyone's free, finding nearby restaurants and coffee shops, making reservations with AI calls, splitting bills from receipts, and nudging you to share photo memories after hanging out. \n\nRight now, coordinating hangouts with friends takes too much effort. We're removing that friction so you can spend less time planning and more time actually having fun IRL.\n\n![uploaded image](/media/?type=post&id=95189&key=user_uploads/1557194/7bae7c14-2266-4d71-82e2-f23716cf4f2a)\n\n**Where We're Going - The First AI-Native Social Operating System**\n\nDigipals work through AI widgets that pop up right in your group chat when you and your friends need them. Talking about dinner? The restaurant widget appears. Someone sends a receipt? The bill split widget shows up. You never have to leave the group chat to coordinate.\n\nWe're starting with widgets that make it easier to hang out IRL - restaurant reservations, movie/concert suggestions, flight/hotel bookings, bill splitting, and sports scores. Here's some sneak peeks:\n\n![uploaded image](/media/?type=post&id=95189&key=user_uploads/1557194/91296545-05f9-4057-b324-b600168547b9)\n\nThen we're adding widgets that help you stay close to your friends and make new ones - relive memories from fun times together in the past, post memes/articles/reels your group would actually find funny, surface life updates worth celebrating, and connect with friends of friends.\n\nEventually, anyone can build AI widgets for Digipals. Your group chat becomes the social operating system, and the widgets are the apps that enhance human connection.\n\n**Team**\n\n[Peggy](https://www.linkedin.com/in/peggy-wang-ai/) cares deeply about human relationships. For over nine years, she's grabbed dinner monthly with the same friends at Madras Cafe in Sunnyvale - the restaurant their group chat is named after. She's a second time founder who worked on the Metaverse at Meta Reality Labs, where she believed that the future of social connection was in virtual worlds and games. Now, she's convinced the future is simpler - it's showing up IRL.\n\nMathew made a hit solo game called [deadshot.io](http://deadshot.io) which has over 2M+ monthly active users. He enjoys connecting with others through playing music and video games, and joined the team to help make the future a little less lonely for everyone.\n\n![uploaded image](/media/?type=post&id=95189&key=user_uploads/1557194/7ee11258-ded8-466d-a9e5-ac5819801ad0)\n\n**Asks**\n\n* Please join the waitlist at [www.digipals.app](http://www.digipals.app) - we’ll be launching soon 👀 If you know Peggy personally, you can DM/text her to get early access :)",
        "url": "https://www.ycombinator.com/launches/OlJ-digipals-ai-native-group-chats-that-get-you-outside",
        "votes": 88,
        "created_at": "2025-11-05T17:54:23.555Z"
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    "id": 30818,
    "name": "Nox Metals",
    "slug": "nox-metals",
    "former_names": [
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      "NOX METAL"
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    "website": "https://noxmetals.co/",
    "all_locations": "Detroit, MI, USA",
    "long_description": "Nox Metals is an AI-powered metals supplier powering modern American manufacturing at scale. We are building automated factories that turn raw metal into production-ready material faster, cheaper, and more reliably than legacy service centers.",
    "one_liner": "Supplying America's Industrial Base",
    "team_size": 52,
    "industry": "Industrials",
    "subindustry": "Industrials -> Manufacturing and Robotics",
    "launched_at": 1751751667,
    "tags": [
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2025",
    "status": "Active",
    "industries": [
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      "Manufacturing and Robotics"
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    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": [
      {
        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "Factories waste time quoting, sourcing, and cutting aluminum blocks. It's slow, manual, and adds unnecessary overhead. This inefficiency compounds across thousands of jobs, dragging down margins and throughput. We started Nox to automate this layer and unlock speed and scale for modern manufacturing."
      }
    ],
    "url": "https://www.ycombinator.com/companies/nox-metals",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/nox-metals.json",
    "year_founded": 2025,
    "city": "Detroit",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/nox-metals-inc/",
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      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
    },
    "founders": [
      {
        "user_id": 1489130,
        "full_name": "Zane Hengsperger",
        "title": "Founder/CEO",
        "founder_bio": "Supplying factories across America with the fastest and lowest-cost metals.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/zanehh/",
        "x_url": "https://x.com/zanehengsperger",
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      {
        "id": 105416,
        "title": "Chief of Staff",
        "url": "https://www.ycombinator.com/companies/nox-metals/jobs/tPQM8Q3-chief-of-staff",
        "location": "Detroit, MI, US / Los Angeles, CA, US / San Francisco, CA, US",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$150K - $225K",
        "equity_range": "0.05% - 0.10%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 105417,
        "title": "Member of Technical Staff",
        "url": "https://www.ycombinator.com/companies/nox-metals/jobs/E0MI9g4-member-of-technical-staff",
        "location": "Detroit, MI, US / San Francisco, CA, US / Los Angeles, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$90K - $180K",
        "equity_range": "0.05% - 0.10%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
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      {
        "id": 107628,
        "title": "Product Manager ",
        "url": "https://www.ycombinator.com/companies/nox-metals/jobs/m0RJ4yi-product-manager",
        "location": "Detroit, MI, US / Los Angeles, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$70K - $150K",
        "equity_range": "0.01% - 0.02%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
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        "id": 109972,
        "title": "Operations",
        "url": "https://www.ycombinator.com/companies/nox-metals/jobs/2K1qJqK-operations",
        "location": "Detroit, MI, US / Los Angeles, CA, US",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$100K - $200K",
        "equity_range": "0.01% - 0.10%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 114993,
        "title": "Manufacturing Operations Associate",
        "url": "https://www.ycombinator.com/companies/nox-metals/jobs/mKXeZyX-manufacturing-operations-associate",
        "location": "Detroit, MI, US / Los Angeles, CA, US",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$80 - $120K",
        "equity_range": "0.01% - 0.05%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115813,
        "title": "Social Media Manager",
        "url": "https://www.ycombinator.com/companies/nox-metals/jobs/z0TyIpq-social-media-manager",
        "location": "Los Angeles / Detroit",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$47.5K - $52.5K",
        "equity_range": "0.00% - 0.03%",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115814,
        "title": "ML Engineer",
        "url": "https://www.ycombinator.com/companies/nox-metals/jobs/ztSQcah-ml-engineer",
        "location": "Detroit",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$152K - $168K",
        "equity_range": "0.00% - 0.03%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115815,
        "title": "Marketing Intern",
        "url": "https://www.ycombinator.com/companies/nox-metals/jobs/vgy6xq3-marketing-intern",
        "location": "Los Angeles / Detroit",
        "type": "Internship",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$39.1K - $43.2K",
        "equity_range": "0.00% - 0.03%",
        "experience": null,
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115816,
        "title": "Recruiter",
        "url": "https://www.ycombinator.com/companies/nox-metals/jobs/0TsVTWN-recruiter",
        "location": "Los Angeles / Detroit",
        "type": "Full-time",
        "role": "Recruiting & HR",
        "role_type": "Recruiter",
        "salary_range": "$52.3K - $57.8K",
        "equity_range": "0.00% - 0.03%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115817,
        "title": "Software Engineer",
        "url": "https://www.ycombinator.com/companies/nox-metals/jobs/bDoZ7lp-software-engineer",
        "location": "Detroit",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$154K - $170K",
        "equity_range": "0.00% - 0.03%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115818,
        "title": "Customer Success Manager",
        "url": "https://www.ycombinator.com/companies/nox-metals/jobs/7gwRK4c-customer-success-manager",
        "location": "Detroit",
        "type": "Full-time",
        "role": "Support",
        "role_type": null,
        "salary_range": "$71.3K - $78.8K",
        "equity_range": "0.00% - 0.03%",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115819,
        "title": "Inside Sales",
        "url": "https://www.ycombinator.com/companies/nox-metals/jobs/6PLQ5fz-inside-sales",
        "location": "Detroit",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$71.3K - $78.8K",
        "equity_range": "0.00% - 0.03%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115820,
        "title": "Local Delivery Driver",
        "url": "https://www.ycombinator.com/companies/nox-metals/jobs/9E0KMma-local-delivery-driver",
        "location": "Detroit / Los Angeles",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$47.5K - $52.5K",
        "equity_range": "0.00% - 0.03%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115821,
        "title": "Material Handler (All Shifts)",
        "url": "https://www.ycombinator.com/companies/nox-metals/jobs/85BjrW7-material-handler-all-shifts",
        "location": "Detroit",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$19 - $21 / hourly",
        "equity_range": "0.00% - 0.03%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115822,
        "title": "Factory Technician (All Shifts)",
        "url": "https://www.ycombinator.com/companies/nox-metals/jobs/8GQRzy8-factory-technician-all-shifts",
        "location": "Detroit",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$19 - $21 / hourly",
        "equity_range": "0.00% - 0.03%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115823,
        "title": "Operations Associate",
        "url": "https://www.ycombinator.com/companies/nox-metals/jobs/5XKeNrV-operations-associate",
        "location": "Detroit",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$76K - $84K",
        "equity_range": "0.00% - 0.03%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115824,
        "title": "Recruiting Associate",
        "url": "https://www.ycombinator.com/companies/nox-metals/jobs/mbSfJsO-recruiting-associate",
        "location": "Detroit / Los Angeles",
        "type": "Full-time",
        "role": "Recruiting & HR",
        "role_type": "Recruiter",
        "salary_range": "$52.3K - $57.8K",
        "equity_range": "0.00% - 0.03%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115825,
        "title": "Production Supervisor (Multiple Shifts Available)",
        "url": "https://www.ycombinator.com/companies/nox-metals/jobs/mHl5hkY-production-supervisor-multiple-shifts-available",
        "location": "Detroit",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$75.1K - $83K",
        "equity_range": "0.00% - 0.03%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115826,
        "title": "Machine Learning Engineer",
        "url": "https://www.ycombinator.com/companies/nox-metals/jobs/FHK02T5-machine-learning-engineer",
        "location": "Los Angeles / San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$152K - $168K",
        "equity_range": "0.00% - 0.03%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
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        "id": 115827,
        "title": "Production Supervisor",
        "url": "https://www.ycombinator.com/companies/nox-metals/jobs/mBmk5Q2-production-supervisor",
        "location": "Los Angeles",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$75.1K - $83K",
        "equity_range": "0.00% - 0.03%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115828,
        "title": "Video Editor / Motion Designer",
        "url": "https://www.ycombinator.com/companies/nox-metals/jobs/CDXU2aB-video-editor-motion-designer",
        "location": "Los Angeles / Detroit",
        "type": "Full-time",
        "role": "Design",
        "role_type": "Web design",
        "salary_range": "$61.8K - $68.3K",
        "equity_range": "0.00% - 0.03%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115829,
        "title": "Head of Engineering",
        "url": "https://www.ycombinator.com/companies/nox-metals/jobs/vGqayKm-head-of-engineering",
        "location": "Los Angeles",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$188K - $207K",
        "equity_range": "0.00% - 0.10%",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115830,
        "title": "Manufacturing Engineer",
        "url": "https://www.ycombinator.com/companies/nox-metals/jobs/RfPuIqI-manufacturing-engineer",
        "location": "Los Angeles / Detroit",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$115K - $127K",
        "equity_range": "0.00% - 0.03%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115831,
        "title": "Infrastructure Engineer",
        "url": "https://www.ycombinator.com/companies/nox-metals/jobs/qyUf4GG-infrastructure-engineer",
        "location": "Los Angeles / Detroit",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$111K - $123K",
        "equity_range": "0.00% - 0.03%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115832,
        "title": "Customer & Commercial Product Manager",
        "url": "https://www.ycombinator.com/companies/nox-metals/jobs/zDQVVxF-customer-commercial-product-manager",
        "location": "Los Angeles",
        "type": "Full-time",
        "role": "Product",
        "role_type": null,
        "salary_range": "$124K - $137K",
        "equity_range": "0.00% - 0.03%",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115833,
        "title": "Chief of Staff",
        "url": "https://www.ycombinator.com/companies/nox-metals/jobs/tE6KoQ2-chief-of-staff",
        "location": "Los Angeles",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$149K - $165K",
        "equity_range": "0.00% - 0.10%",
        "experience": "8+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115834,
        "title": "Associate Supply Chain Engineer",
        "url": "https://www.ycombinator.com/companies/nox-metals/jobs/G7v3kr7-associate-supply-chain-engineer",
        "location": "Los Angeles / Detroit",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$57K - $63K",
        "equity_range": "0.00% - 0.03%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115835,
        "title": "Material Handler / Shipping Associate",
        "url": "https://www.ycombinator.com/companies/nox-metals/jobs/juVKRcx-material-handler-shipping-associate",
        "location": "Los Angeles",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$19 - $21 / hourly",
        "equity_range": "0.00% - 0.03%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115836,
        "title": "Account Executive",
        "url": "https://www.ycombinator.com/companies/nox-metals/jobs/HLY8ADP-account-executive",
        "location": "Los Angeles / Detroit / San Francisco",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$81.3K - $89.8K",
        "equity_range": "0.00% - 0.03%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115837,
        "title": "Weekend Operations Associate",
        "url": "https://www.ycombinator.com/companies/nox-metals/jobs/CI9z0fz-weekend-operations-associate",
        "location": "Detroit",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$19 - $21 / hourly",
        "equity_range": "0.00% - 0.03%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115838,
        "title": "Operations Trainer",
        "url": "https://www.ycombinator.com/companies/nox-metals/jobs/LJQ2Tmi-operations-trainer",
        "location": "Detroit",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$69.2K - $76.5K",
        "equity_range": "0.00% - 0.03%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115839,
        "title": "Cinematographer",
        "url": "https://www.ycombinator.com/companies/nox-metals/jobs/o8OsliJ-cinematographer",
        "location": "Los Angeles / Detroit",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$81.5K - $90.1K",
        "equity_range": "0.00% - 0.03%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115840,
        "title": "Business Development Representative",
        "url": "https://www.ycombinator.com/companies/nox-metals/jobs/JJTNXuD-business-development-representative",
        "location": "Detroit",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$82.8K - $91.5K",
        "equity_range": "0.00% - 0.03%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115841,
        "title": "Operations Systems Product Manager",
        "url": "https://www.ycombinator.com/companies/nox-metals/jobs/Iz35FOX-operations-systems-product-manager",
        "location": "Los Angeles / Detroit",
        "type": "Full-time",
        "role": "Product",
        "role_type": null,
        "salary_range": "$152K - $168K",
        "equity_range": "0.00% - 0.03%",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115842,
        "title": "Plant Manager",
        "url": "https://www.ycombinator.com/companies/nox-metals/jobs/j3OhDNV-plant-manager",
        "location": "Los Angeles / Detroit",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$132K - $146K",
        "equity_range": "0.00% - 0.10%",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115843,
        "title": "Assistant General Manager",
        "url": "https://www.ycombinator.com/companies/nox-metals/jobs/DDS033t-assistant-general-manager",
        "location": "Los Angeles / Detroit",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$76K - $84K",
        "equity_range": "0.00% - 0.10%",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115844,
        "title": "Director of Manufacturing",
        "url": "https://www.ycombinator.com/companies/nox-metals/jobs/ewqJoHE-director-of-manufacturing",
        "location": "Los Angeles / Detroit",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$129K - $142K",
        "equity_range": "0.00% - 0.10%",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115845,
        "title": "Accounts Receivable / Accounts Payable Specialist",
        "url": "https://www.ycombinator.com/companies/nox-metals/jobs/mi3Hv4i-accounts-receivable-accounts-payable-specialist",
        "location": "Los Angeles / Detroit",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$53.8K - $59.4K",
        "equity_range": "0.00% - 0.03%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115846,
        "title": "Saw Operator",
        "url": "https://www.ycombinator.com/companies/nox-metals/jobs/oyQ7YQw-saw-operator",
        "location": "Los Angeles",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$19 - $21 / hourly",
        "equity_range": "0.00% - 0.03%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115847,
        "title": "Full Stack Engineer",
        "url": "https://www.ycombinator.com/companies/nox-metals/jobs/Y4KoiT9-full-stack-engineer",
        "location": "Los Angeles / San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$154K - $170K",
        "equity_range": "0.00% - 0.03%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115848,
        "title": "Executive Assistant",
        "url": "https://www.ycombinator.com/companies/nox-metals/jobs/kJreaNw-executive-assistant",
        "location": "Los Angeles / Detroit",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$77.5K - $85.7K",
        "equity_range": "0.00% - 0.03%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115849,
        "title": "Senior Finance Manager",
        "url": "https://www.ycombinator.com/companies/nox-metals/jobs/yRxyyOb-senior-finance-manager",
        "location": "Los Angeles / Detroit",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$177K - $196K",
        "equity_range": "0.00% - 0.10%",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115851,
        "title": "People Operations Associate",
        "url": "https://www.ycombinator.com/companies/nox-metals/jobs/DQoH7Gg-people-operations-associate",
        "location": "Detroit",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$42.8K - $47.3K",
        "equity_range": "0.00% - 0.03%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115852,
        "title": "Office Manager",
        "url": "https://www.ycombinator.com/companies/nox-metals/jobs/OoRm3au-office-manager",
        "location": "Detroit",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$68K - $75.2K",
        "equity_range": "0.00% - 0.03%",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
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    ],
    "news": [
      {
        "title": "NOX METALS Raises an $11.5M Seed Round to Reindustrialize America",
        "url": "https://noxmetals.co/blog/nox-metals-seed-round",
        "date": "Jun 14, 2026"
      }
    ],
    "launches": [
      {
        "id": 92971,
        "title": "NOX METALS: The modern metals supplier.",
        "tagline": "Modern metals factories to supply America's industrial base. ",
        "body": "**NOX METALS: The Factory is the Product**\\\nVertically integrated, automated metals factories built to move at software speed.\n\n**TL;DR:** Nox Metals is building the metals processing platform of the future. Our vertically integrated factories run on software and automation to deliver lightning-fast, low-cost metal to our customers. Our goal: power the next industrial era by becoming the fastest, most advanced supplier to America’s industrial base.\n\nLaunch Video: https://www.youtube.com/watch?v=X6qMjj4RMBQ\n\n## 🛑 The Problem\n\nEvery part, from aerospace components to automotive tooling, starts with raw metal. But the supply chain that delivers it hasn’t changed in decades:\n\n* **3–5 days** to get a quote from a broker.\n* **Multiple markups** between the mill and your shop.\n* **Slow fulfillment** with no visibility once you order.\n* **High overhead** baked into every part because of manual, fragmented workflows.\n\nThis slows down factories, raises costs, and makes American manufacturing less competitive.\n\n## ⚡ The Nox Metals Model\n\nWe don’t just _use_ factories, we build them to be the product.\n\n* **Orders in → Machines moving:** Your quote instantly becomes a job on our automated cutting line.\n* **Software + Automation:** Robots pick, cut, package, and label… removing human bottlenecks.\n* **Lower Overhead:** No layers of brokers, reps, and schedulers.\n* **Faster for You:** Shorter lead times, real-time tracking, and predictable delivery.\n\nLower overhead means better prices. Faster cycle times mean more throughput for your factory.\n\n## 📈 Why It Works for Customers\n\n* **Time:** Place orders in minutes, get delivery in days.\n* **Cost:** Reduced overhead on our end means better pricing for you.\n* **Certainty:** Every order tracked from quote to delivery.\n\n## 🛠 Who We Serve\n\n* Job Shops\n* OEMs\n* Tier 1/2/3 Suppliers\n* Aerospace, Defense, and Industrial Manufacturers\n\n## 💬 Ask\n\nWe’re live with aluminum plate and block today, expanding into steel, tube, and sheet next. If you run a factory and need raw metal faster and cheaper, let’s talk.\n\n📩 zane@noxmetals.co\\\n🌐 [noxmetals.co](http://noxmetals.co)\n\nWhen your factory needs metal, ours is already working.",
        "url": "https://www.ycombinator.com/launches/OBX-nox-metals-the-modern-metals-supplier",
        "votes": 33,
        "created_at": "2025-08-13T19:15:21.779Z"
      }
    ]
  },
  {
    "id": 30832,
    "name": "F2",
    "slug": "f2",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/976c3cad3814111f1af6d087f0a0fe249be74b42.png",
    "website": "http://f2.ai",
    "all_locations": "New York City, NY, USA",
    "long_description": "F2 is the AI platform for private markets investors. Purpose-built for private credit, private equity, and commercial banking, F2 accelerates diligence, underwriting, and portfolio monitoring, helping teams evaluate deals over 60% faster. \r\n\r\nF2 turns unstructured deal data into investment-grade analysis and polished memos in minutes. Unlike general-purpose AI, F2 is built with the domain expertise and depth to handle the most complex financial analysis. Already trusted across thousands of deals, F2 makes collaboration easy and retains historical context, so past work compounds into future wins. \r\n\r\nHeadquartered in New York City, F2 is backed by leading investors including NFX, Left Lane Capital, and Y Combinator. ",
    "one_liner": "The AI platform for private markets investors",
    "team_size": 15,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1762789781,
    "tags": [
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2025",
    "status": "Active",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/f2",
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        "title": "Brickanta 🧱 the construction estimator's best friend 👷‍♂️🏗️",
        "tagline": "Cursor for construction estimation & project management",
        "body": "👋 We’re [Brickanta](https://brickanta.com/) (F25), building _cursor for construction estimation & project management._\n\n**TL;DR**: Our AI platform analyzes construction estimates and project details to automate admin work, reduce errors, and accelerate delivery. 👉 _We’d appreciate your social media hype support and any potential intros, as we look to make more connections in the construction and real estate industry._\n\n**Why this matters**\\\nConstruction projects run on mountains of paperwork, drawings, and codes. Miss one item, and budgets blow up — every year, it costs the small European country of Sweden over $11 billion (according to the government itself) and the global industry _hundreds of billions_ every year. Estimators and PMs are the heroes who keep projects on track, but today they’re buried in manual work.\n\n**How Brickanta helps**\\\nOur AI reads and organizes project docs, flags missing items & compliance risks, and supports cost analysis, tendering, and planning. It’s trained on standardized building protocols (starting with the Swedish versions of the Eurocodes, soon more countries) and integrates the systems that construction already runs on, like MS SharePoint, Outlook, and Teams — helping teams work faster, catch risks earlier, and protect margins.\n\n🎥 YC Launch Video:\n\nhttps://www.youtube.com/watch?v=za8Ya5GxMRE\n\n\\*\\*Excited to support?\\*\\*\\\n👷‍♂️🛠️👷‍♀️ We’re officially launching this week with exclusive media interviews, first public customer story, new brand + website, and more. Please check out and follow our newly created channels listed at the bottom to be part of the journey — and offer some hyping support :-)\\\n\\\n🏗️ We’d also love intros into construction and real estate companies - our MVP is currently focused on European markets (that share the fundamental [Eurocodes](https://eurocodes.jrc.ec.europa.eu/) framework)- where estimation and project management are critical.\\\n\\\n🧱🏗️  [**YouTube**](https://www.youtube.com/@Brickanta) │ [**LinkedIn**](https://www.linkedin.com/company/brickanta) │ [**X**](https://x.com/brickanta)  │ [**Facebook**](https://www.facebook.com/people/Brickanta/61581151975393/)  │ [**Instagram**](https://www.instagram.com/brickanta/?fbclid=IwY2xjawM7_n1leHRuA2FlbQIxMQBicmlkETBwMHVWZlByYk04ZW5iYnEyAR7vPpHY7lQF8Ow_5pNc9wsKP5V4us-fiDMJeepUZEwbeblZ39mJOYOA4lr1Eg_aem_5RLOiHcY_lmVUvys8OicmA) │ [**TikTok**](https://www.tiktok.com/@brickanta)\n\nYou can reach the founders on [founders@brickanta.com](mailto:founders@brickanta.com).\n\n🎥  Construction-audience-focused commercial launch video: https://www.youtube.com/watch?v=mwDEeXxtiQE",
        "url": "https://www.ycombinator.com/launches/OUy-brickanta-the-construction-estimator-s-best-friend",
        "votes": 17,
        "created_at": "2025-09-29T22:33:27.857Z"
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        "full_name": "Madhav Lavakare",
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        "url": "https://www.ycombinator.com/companies/aircaps/jobs/J0hKNkF-product-engineer",
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        "title": "AirCaps - The AI copilot for in-person conversations.",
        "tagline": "Bringing AI assistance to in-person conversations, overlaid onto your field of vision.",
        "body": "**TLDR;** **AirCaps is bringing AI assistance to in-person conversations.** \n\nOur AI-copilot provides live captions, translations, AI meeting notes and insights for in-person conversations in real-time. It's deployed as an app for lightweight AR glasses so you can see visual information overlaid onto your field of vision.\n\nYou can think of it like a Zoom AI meeting assistant or Granola, but for in-person conversations, and with the ability to proactively help you in real-time, not just after the conversation.\n\nWe’re building the capture and intelligence layer for the 216 billion daily conversations that happen face-to-face.\n\nWe’ve already transcribed 16,500 hours of in-person conversations and counting. Today, AirCaps assists with 11% of our users’ in-person conversations.\n\nWe did $93K in revenue in October and grew 6.5x from September while spending &lt;$3K on marketing (and hit $70K in revenue in the first 2 weeks of November). Our power users average 6h+ daily usage and our day-30 retention is 91%.\n\nWe previously went viral (75M+ views on TikTok, 150K+ followers) and have been featured by The New Yorker, WIRED, and Forbes.\n\n![uploaded image](/media/?type=post&id=95216&key=user_uploads/854295/06ddc792-97ec-4338-be78-adbcd7f493c1)\n\n**The Problem**\n\nThe average person struggles to understand and retain 50% of in-person conversations, forgets 70% within 48 hours, and can't review any of it.\n\nWe have 20-30 in-person conversations daily, meaning humanity generates \\~200B in-person conversations (on average 10 minutes, generating 36 billion hours of content) every single day.\n\nWhile virtual meetings have captions, recordings, and hundreds of AI assistants, these in-person conversations remain completely unassisted by technology.\n\nWhy?\n\n1. Form factor: There's no socially acceptable way to assist conversations in real-time. Phones kill eye contact, AirPods create audio-on-audio confusion, laptops are obvious.\n2. Technical complexity: Real-world audio is fundamentally messier - background noise and overlapping speech make it exponentially harder than virtual meetings. Most companies give up at 80% accuracy.\n\n[https://youtu.be/avyjB3LMTI4](https://youtu.be/avyjB3LMTI4?si=Mv9-h9PaKb5Yjx1M)\n\n**Our Solution**\n\nWe're finally bringing AI to real-world conversations. We’re deploying our software on a discreet, socially acceptable, always-on, and hands-free visual interface: AR glasses.\n\nOur earliest customers are people who need help understanding conversations (captions for real life) or translating languages for in-person business meetings, and meeting-heavy professionals - healthcare workers, executives, salespeople - who need real-time AI assistance during high-stakes conversations but can't use screens without breaking eye contact.\n\nWe’re building the killer app for the next platform: think Spotify / Instagram for phones before everyone had a phone.\n\nAR glasses are the only form factor that works for in-person conversations: \n\n* Always-on recording without disruption\n* Visual display in your field of view for real-time assistance (not just post-hoc)\n* Hands-free mobility and greater environmental awareness\n* Superior audio capture for better data ingestion\n* Greater social acceptability compared to phones, headphones, or other wearables for meetings (people already wear glasses)\n\n![uploaded image](/media/?type=post&id=95216&key=user_uploads/2955798/21e61d6f-e1c0-4361-af8f-af21fb3b87e3)\n\n**The Team**\n\nMadhav and Nirbhay have been obsessed with voice technology and AR for 11 years and met at an AR hackathon in the summer of 2024.\n\nMadhav (CEO, Yale CS) built his first Google Glass apps at age 13 and his first Jarvis voice assistant for RPis at age 14. He researched audio AI at MIT Media Lab, where he was part of the team that built the world's first live AI-human musical co-performance. His Yale thesis focused on extracting clean transcripts from noisy multi-speaker audio.\n\nNirbhay (CTO, Cornell CS) started building voice AI on smart glasses in high school, developing an emotional support tool for people with Autism. He's previously built voice and conversational AI platforms for therapy as the first hire at several early-stage (including YC) startups.\n\n![uploaded image](/media/?type=post&id=95216&key=user_uploads/2955798/be18a62d-22bf-493e-a76c-b222b16a933d)\n\n**Why Now**\n\nThere’s never been a better time for us: AI is becoming faster & more accurate for speech, and people are starting to default to AI assistance for conversations: 3 out of every 4 professionals uses AI notetakers for virtual meetings. And not to mention: Meta, Apple, Google are investing $200B+ to ensure everyone wears AR glasses.\n\n**Ask**\n\nIf you know doctors who use medical transcription services, or organizations that rely on field sales (real estate, home services, retail), please connect us!",
        "url": "https://www.ycombinator.com/launches/Olk-aircaps-the-ai-copilot-for-in-person-conversations",
        "votes": 40,
        "created_at": "2025-11-05T20:58:09.488Z"
      }
    ]
  },
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    "id": 30844,
    "name": "Uplane",
    "slug": "uplane",
    "former_names": [],
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    "website": "https://uplane.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Uplane replaces marketing agencies with AI. We generate hundreds of ads with matching landing pages and steer the ad spend across channels like Meta, Google, LinkedIn and others. By connecting to CRM and ERP data, Uplane learns what drives profits and continuously improves campaigns.\r\n\r\nCompanies waste billions on bad ads, mismatched landing pages, and poor budget allocation. Uplane fixes this by replacing a patchwork of agencies, spreadsheets, and siloed tools with one self-improving system. The result: Higher ROAS for enterprises and effortless, expert-level marketing for SMBs.",
    "one_liner": "Replace marketing agencies with AI",
    "team_size": 26,
    "industry": "B2B",
    "subindustry": "B2B -> Marketing",
    "launched_at": 1759250646,
    "tags": [
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      "B2B",
      "Analytics",
      "Advertising",
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    "isHiring": true,
    "nonprofit": false,
    "batch": "Fall 2025",
    "status": "Active",
    "industries": [
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      "Marketing"
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    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/uplane",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/uplane.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/uplane-com",
    "x_url": "https://x.com/uplane_com",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/uplane",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6f996a4ae5a6f6c50880fc529dd16c13be2500bd.png",
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    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
    },
    "founders": [
      {
        "user_id": 2716487,
        "full_name": "Julius Körfgen",
        "title": "Founder/CEO",
        "founder_bio": "Managed 7-digit monthly ad spend as a Marketing Director of one of the fastest-growing D2C brands in Europe. Scaled a lead platform from 0 to >$10M monthly revenue in just 12 weeks.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/julius-koerfgen/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4c23c3638c973e3e831769089ee1a530e0df0be2.jpg"
      },
      {
        "user_id": 822694,
        "full_name": "Marvin Abdel-Massih",
        "title": "Founder/COO",
        "founder_bio": "Studied Computer Science, Data Science, and Business at Imperial, TUM and Harvard. Received 4 different academic scholarships. Declined McKinsey offer to become right hand of a unicorn founder.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/marvinabdel-massih/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8dd3a0aef8edb6c177aee2a6a489196365ace23c.jpg"
      },
      {
        "user_id": 346365,
        "full_name": "Lukas Vollmer",
        "title": "Founder/CTO",
        "founder_bio": "Has 15 years of fullstack experience, was Head of Engineering at two former YC companies and won Product of the Month at Product Hunt.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/lukasvollmer/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4c8f2712ca84d086b4785315bf932a42367dd301.jpg"
      }
    ],
    "jobs": [
      {
        "id": 91103,
        "title": "AI Marketing Strategist - San Francisco",
        "url": "https://www.ycombinator.com/companies/uplane/jobs/aFjvQEb-ai-marketing-strategist-san-francisco",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$100K - $130K",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 93708,
        "title": "AI Marketing Strategist Intern - San Francisco",
        "url": "https://www.ycombinator.com/companies/uplane/jobs/TEEElmy-ai-marketing-strategist-intern-san-francisco",
        "location": "San Francisco, CA, US",
        "type": "Internship",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$4K / monthly",
        "equity_range": "",
        "experience": null,
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 94434,
        "title": "AI Marketing Strategist Intern - Berlin (German Speaking)",
        "url": "https://www.ycombinator.com/companies/uplane/jobs/Gb8bLOl-ai-marketing-strategist-intern-berlin-german-speaking",
        "location": "Berlin, Berlin, DE",
        "type": "Internship",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "€2.41K EUR / monthly",
        "equity_range": "",
        "experience": null,
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 96251,
        "title": "AI Marketing Strategist - Berlin (German Speaking)",
        "url": "https://www.ycombinator.com/companies/uplane/jobs/lBJkLEw-ai-marketing-strategist-berlin-german-speaking",
        "location": "Berlin, BE, DE / Berlin, Berlin, DE",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "€60K - €100K EUR",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizenship/visa not required",
        "skills": [
          "Marketing design"
        ]
      },
      {
        "id": 113831,
        "title": "Growth Operations",
        "url": "https://www.ycombinator.com/companies/uplane/jobs/GjRkpRq-growth-operations",
        "location": "San Francisco, CA, US / Berlin, BE, DE / Berlin, Berlin, DE",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$80K - $130K",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
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    ],
    "news": [
      {
        "title": "Pitch Deck: Uplane Raised $4.5 Million to Replace Marketers With AI - Business Insider",
        "url": "https://www.businessinsider.com/pitch-deck-uplane-raised-funding-to-replace-marketing-agencies-ai-2026-4",
        "date": "Apr 15, 2026"
      }
    ],
    "launches": [
      {
        "id": 94720,
        "title": "Uplane: Replace your marketing agency.",
        "tagline": "Uplane increases return on ad spend by 20-50% by automating digital marketing with AI.",
        "body": "### TL;DR\n\nUplane (YC F25) is building AI software to replace marketing agencies.\n\nTheir AI has already created thousands of ads and landing pages, delivering a 20-50% increase in return on ad spend for their customers.\n\nCompanies waste billions on bad campaigns because they don’t have the time to do the research, personalization, and A/B testing to do the job right.\n\nUplane builds an all-in-one marketing platform that uses AI to create, launch, and test ad campaigns across Meta, Google, Taboola, TikTok, and others. The software delivers new, creative ideas, and gives full flexibility to ensure every marketing message is on brand and compliant.\n\nIn marketing, speed and analytics are essential. Humans simply can’t catch up with the speed and precision of AI.\n\nBook a [demo](https://uplane.com/talk-to-us?utm_source=yc&utm_medium=social&utm_campaign=yc-launch) now.\\\n\\\nhttps://www.youtube.com/watch?v=rUhS6pz4-hs\n\n### Problem\n\nFor years, the promise of digital marketing has been data-driven revenue growth at scale. The reality for most marketers, however, is a losing battle fought with manual work.\n\nMarketing teams and their agencies are drowning in a sea of spreadsheets, unreliable data, and siloed ad platforms. They are buried in repetitive tasks: endlessly creating and testing ad variations, designing new landing pages, trying to make sense of the data, and manually shifting budgets across ads and channels. This makes it impossible to move at the speed and precision the market demands.\n\nThe result: billions of dollars are lost due to low-performing marketing campaigns. No human can do the manual work that is required to do the job right.\n\n### Solution\n\nUplane replaces manual work with AI automations.\n\n💡 **Phase 1) Insight & Creation:** Uplane analyzes the target audience, brand style, ads, competitors' ads, and even real-time market trends. It uses these insights to instantly generate thousands of ads and matching landing pages.\n\n🚀 **Phase 2) Launch & Management:** Select your favorite ads, and with a single click, campaigns go live across all channels. Uplane takes over, managing everything 24/7. It monitors performance and shifts budget to the ads and channels that deliver the highest return.\n\n📈 **Phase 3) Learning & Scaling:** Built-in dashboards give instant transparency. The insights from the data are not just useful for marketers but also for our AI. It continuously tracks ad performance, identifies best value propositions and designs, and gets smarter with every conversion. Thus, it creates better ads with every iteration.\n\n### Our Ask\n\nUplane is working hand-in-hand with ambitious companies that want to scale their marketing profitably, eliminate manual work, and make marketing that their customers love.\n\nWant more customers? Let’s talk.\n\n📅 Book a [demo](https://uplane.com/talk-to-us?utm_source=yc&utm_medium=social&utm_campaign=yc-launch)\n\n👉🏻 Follow us on [LinkedIn](https://www.linkedin.com/company/uplane-com) and [X](https://x.com/uplane_com)\n\n💬 Share this post with people in your network",
        "url": "https://www.ycombinator.com/launches/Odk-uplane-replace-your-marketing-agency",
        "votes": 19,
        "created_at": "2025-10-17T17:21:33.522Z"
      }
    ]
  },
  {
    "id": 30845,
    "name": "Structured AI",
    "slug": "structured-ai",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7b994637fa890bb7d41d69d022b3d15f6e4f3e8c.png",
    "website": "https://www.getstructured.ai/",
    "all_locations": "New York City, NY, USA",
    "long_description": "Structured AI is the most advanced AI-powered QA/QC platform for drawing packages, working across both PDF drawings and native Revit models. Architects and engineers use our platform to make every drawing set leave the office with certainty. \r\n\r\nOur AI agents learn your firm's standards, apply the relevant codes, and read every page of a set, then return a clear list of what's wrong, where it sits, and how to fix it. Run compliance reviews across thousands of pages in minutes, chat with your drawings for sourced answers, build custom checks in plain English, compare versions, overlay disciplines, and close out comments - all within a single platform, with a full audit trail on every finding.\r\n\r\nFor decades, the last line of defense on a drawing set has been a red pen at the end of a deadline week. But buildings have outgrown the red pen. A modern set runs thousands of drawings, and the errors hiding between them threaten quality and safety, not just cost. What manual review misses resurfaces as RFIs, change orders, and field rework, paid for in time, margin, and reputation.\r\n\r\nStructured AI catches those errors before they leave the office, capturing the judgment of your best reviewer once and applying it everywhere.\r\n\r\nBetter drawings build a better world. #GetStructured",
    "one_liner": "The AI drawing review platform for architects and engineers.",
    "team_size": 11,
    "industry": "Real Estate and Construction",
    "subindustry": "Real Estate and Construction -> Construction",
    "launched_at": 1759212406,
    "tags": [
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      "Construction",
      "Architecture",
      "AI"
    ],
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    "isHiring": true,
    "nonprofit": false,
    "batch": "Fall 2025",
    "status": "Active",
    "industries": [
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      "Construction"
    ],
    "regions": [
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      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/structured-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/structured-ai.json",
    "year_founded": 2025,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/getstructured-ai/",
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    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/structured-ai",
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7b994637fa890bb7d41d69d022b3d15f6e4f3e8c.png",
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    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
    },
    "founders": [
      {
        "user_id": 1527607,
        "full_name": "Raymond Zhao",
        "title": "Founder/CEO",
        "founder_bio": "Cofounder & CEO @ Structured AI, the AI workforce for construction engineering, \nMaths & Stats @ Oxford, ex quant @ Goldman Sachs. \n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/raymondz1/",
        "x_url": "https://x.com/stingrayzz22",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1cbbee4d694fafca111cf86dc84d19d825ff0d50.jpg"
      },
      {
        "user_id": 1980623,
        "full_name": "Issy Greenslade",
        "title": "Founder/COO",
        "founder_bio": "Cofounder & COO @ Structured AI, the AI workforce for construction engineering. Top of year Economics & Management @ Oxford University, previously IB at Greenhill & VC at Future Planet Capital.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/isabelgreenslade/",
        "x_url": "https://x.com/Green181024",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e1d9ab429d7fe98ac409eb160b5330e6c4be1745.jpg"
      },
      {
        "user_id": 2338111,
        "full_name": "Brandon Abreu Smith",
        "title": "Founder/CTO",
        "founder_bio": "Cofounder & CTO @ Structured AI, making the AI workforce for construction design engineering.\nPhysics @ Oxford University | First authored NeurIPS paper, 30 citations.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/brandon-abreu-smith/",
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    ],
    "jobs": [
      {
        "id": 85823,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/structured-ai/jobs/Cxvgr61-founding-engineer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $250K",
        "equity_range": "0.50% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": [
          "Python",
          "TypeScript",
          "Computer Vision"
        ]
      },
      {
        "id": 98428,
        "title": "Founding Account Executive ",
        "url": "https://www.ycombinator.com/companies/structured-ai/jobs/DaRbXNw-founding-account-executive",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$130K - $220K",
        "equity_range": "0.30% - 1.50%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115779,
        "title": "Founding Infrastructure Engineer",
        "url": "https://www.ycombinator.com/companies/structured-ai/jobs/vZdpLe1-founding-infrastructure-engineer",
        "location": "New York, NY",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Devops",
        "salary_range": "$180K - $250K",
        "equity_range": "0.50% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Microsoft Azure",
          "Kubernetes",
          "Python",
          "Docker",
          "Terraform"
        ]
      }
    ],
    "news": [
      {
        "title": "Construction Quality Startup Structured AI Raises $4.2M Seed Round",
        "url": "https://www.enr.com/articles/63139-construction-quality-startup-structured-ai-raises-42m-seed-round",
        "date": "Jun 09, 2026"
      },
      {
        "title": "Structured AI Founders named Forbes 30 Under 30",
        "url": "https://www.forbes.com/profile/structured-ai/?list=30under30-europe-ai/",
        "date": "Apr 13, 2026"
      },
      {
        "title": "I'm Glad I Gave up My Goldman Sachs Dream: Y Combinator AI Startup CEO - Business Insider",
        "url": "https://www.businessinsider.com/accepted-y-combinator-ai-startup-batch-dream-working-goldman-sachs-2025-10",
        "date": "Oct 23, 2025"
      },
      {
        "title": "WSJ: Europe’s AI Startups Look Stateside for Bigger Checks, Quicker Deals",
        "url": "https://www.wsj.com/tech/ai/europes-ai-startups-look-stateside-for-bigger-checks-quicker-deals-1a1dff43?",
        "date": "Oct 04, 2025"
      }
    ],
    "launches": [
      {
        "id": 94607,
        "title": "Structured AI📐: Agentic workforce for construction design engineering",
        "tagline": "Our AI workforce generates design documents and checks them for errors, right inside your existing software.",
        "body": "### **TL;DR**\n\nStructured AI is building the **AI workforce for construction design engineering**, starting with AI agents that perform quality control on technical documents and drawings. Our agents learn your standards, apply the right building codes, and **automatically review your drawings**, so you see fewer clashes, fewer inconsistencies, and fewer costly RFIs and change orders.\n\n* ⚙️ **Automates QA/QC** across mechanical, electrical, structural and more\n* 🧩 Used by **multi-disciplinary design firms** to deliver projects faster with less risk\n* 🚀 **Mission:** Free engineers to focus on creative design, not repetitive admin\n\nLaunch Video: https://youtu.be/CRFsqOTynng\n\n### **❌ The Problem**\n\nThe construction industry's reliance on manual \"spot-checking\" for design errors costs **$177 billion** annually to fix mistakes that are discovered too late.\n\nSenior Engineers spend up to **50%** of their time cross-referencing 100-page drawing sets against 2,000-page building regulations by hand. This process is slow, tedious, and unreliable.\n\nErrors that are missed become exponentially more expensive to correct once construction is underway, causing massive project delays and budget overruns.\n\n---\n\n### **⚙️ The Solution**\n\nStructured AI is the **AI Quality Assurance platform.**\n\n1. **Proprietary Vision & Agents:** We trained a foundational vision model on **thousands** of engineering symbols to read plans like an expert.\n2. **100x Faster, 150% More Errors:** Our AI checks 100-page blueprints against 2,000 pages of building codes **in minutes.**\n3. **Cross-trade Checks:** Learns firm standards to detect inconsistencies across documents, drawings and Revit models, reducing cross-trade clashes before they occur.\n\n   ![uploaded image](/media/?type=post&id=94607&key=user_uploads/1527607/252c0ccd-bd5b-4118-b05f-1f9767d981a6)\n\n\n---\n\n### **👷‍♀️ The Team**\n\nThe team is made up of **Oxford University–trained AI researchers** with deep experience building software tools for AEC and enterprise automation, having developed and scaled in-house AI tools at **Syska Hennessy Group**, a top US MEP (mechanical, electrical, plumbing) engineering firm. \n\n* **Brandon (CTO):** Authored papers for **NeurIPS** and **ChromaDB** (reviewed by Stanford's AI Lab) and created the first open-source **RAG chunking evaluation** framework.\n* **Raymond (CEO):** Built automation at **Goldman Sachs** and the **London Stock Exchange**; implemented an AI system at a £1B VC that increased deal flow 20×.\n* **Issy (COO):** First undergrad Director at Oxford's VC Fund, led investments later backed by a16z and Tim Draper; previously investment banking at **Greenhill.**\n\n### **🏗️ Why Construction Engineering?**\n\nBrandon started coding and making games when he was 12. At 17, a YouTube video he made demonstrating a fighter jet trained with deep reinforcement learning to dodge missiles went viral. This led to him being scouted by a US construction contractor to apply that same algorithm to MEP pipe routing optimization. He then spent the next six years, throughout high school and university, contracting and building AI tools for the construction and engineering industry. He later led innovation and scaled AI tools in-house at a top US engineering firm, ultimately spinning out with his team to form Structured AI.\n\nRaymond initially pursued architecture and engineering, but was talked out of the profession during an internship. Junior architects warned him about the extensive manual \"grunt work\" that defined their roles, a prospect that deterred him so much he switched his studies to Maths & Stats at Oxford. He now views his work freeing engineers from these very tasks as a full-circle moment, allowing them to focus on their passions.\n\n![uploaded image](/media/?type=post&id=94607&key=user_uploads/1527607/1e2f9415-f8f3-419c-92d8-0e007f9919b9)\n\n---\n\n### **🙏 Our Ask**\n\nIf you lead **mechanical, electrical, civil, or structural design teams** and want to automate documentation or QA workflows, we’d love to show you Structured AI.\n\n👉 Book a call: https://www.getstructured.ai/ \n\n📩 Contact: [info@getstructured.ai](mailto:info@getstructured.ai) ",
        "url": "https://www.ycombinator.com/launches/Obv-structured-ai-agentic-workforce-for-construction-design-engineering",
        "votes": 212,
        "created_at": "2025-10-14T19:17:28.011Z"
      }
    ]
  },
  {
    "id": 30847,
    "name": "Brickwise",
    "slug": "brickwise",
    "former_names": [
      "Brickwise",
      "Brickwise AI"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/48c389a46401af22e7cde8396ad1941ad05a7401.png",
    "website": "https://www.brickwiseai.com",
    "all_locations": "London, England, United Kingdom",
    "long_description": "We've built an AI property manager that automates maintenance requests, handling tenant calls and messages 24/7, following up by chasing contractors and resolving issues.\r\n\r\nWe're based in London, but have over 10 customers throughout the world, from San Francisco to Dubai. We have a reliable sales pipeline, including a >$1m cARR enterprise contract. Since our formation 6 months ago, we have raised over $3M in funding.\r\n\r\nIsmail, co-founder & CEO, is an ex-Founder at LiveLink AI, where he raised $3M, growing the platform to editing 150k videos per month. He also built his own prop firm to $500k ARR.\r\n\r\nElias, co-founder & CTO, was an early engineer at a YC backed company, acquired by Google. While a senior engineer at Google for 5 years, he took the product from $50k ARR to >$100m. CS at Bristol, MBA from Imperial.",
    "one_liner": "AI property manager for landlords and estate agents",
    "team_size": 12,
    "industry": "Real Estate and Construction",
    "subindustry": "Real Estate and Construction -> Housing and Real Estate",
    "launched_at": 1762137164,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Fall 2025",
    "status": "Active",
    "industries": [
      "Real Estate and Construction",
      "Housing and Real Estate"
    ],
    "regions": [
      "United Kingdom",
      "Europe"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": [
      {
        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "Hey everyone [👋](https://emojipedia.org/waving-hand)\r\n\r\nWe’re [Ismail](https://www.linkedin.com/in/jeilani) & [Elias](https://www.linkedin.com/in/eliaskassell/?miniProfileUrn=urn%3Ali%3Afs_miniProfile%3AACoAABeEg0EB4O6J8hjKE8dqLAnLjFXI3sosGQs) - co-founders of [Brickwise](https://www.brickwiseai.com).\r\n\r\n**Brickwise is building an AI property manager that automates maintenance for landlords and property managers.**\r\n\r\nLandlord’s usually get into property as a great way to make money. They quickly realise it requires a lot of work, so they hand tihngs over to property managers. On average, 1 property manager is hired for every 60 properties. It’s always just been the cost of property management.\r\n\r\nBrickwise is making it possible to deliver profits and margins that just hasn’t been possible pre-AI.\r\n\r\n**_Ask_:** Are you a landlord or property managers? Or, do you know landlord’s or property managers? I’d love to speak to them directly: [ismail@brickwiseai.com](mailto:ismail@brickwiseai.com)"
      },
      {
        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "There are 240,000 property management firms in the US. They spend \\~$56bn per year on salaries to manage properties. This reality is true pretty much everywhere in the world. In Europe, 214,000 firms spend \\~$35bn on salaries.\r\n\r\nAnd this just represents half the problem (literally). Roughly 50% of landlord’s are so put off by the cost of using a property manager, they choose to manage it themselves. \r\n\r\nUnfortunately, this just hasn’t been solvable before. The more properties you have, the more people you need. 1 person can only answer so many emails or respond to so many calls. \r\n\r\nWe’ve been there before - building a small property management firm over-seeing 130 properties. We understand the nuances of managing properties from maintenance issues to evictions. \r\n\r\nWe also understand why, only now, technology has made it possible to change this. "
      }
    ],
    "url": "https://www.ycombinator.com/companies/brickwise",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/brickwise.json",
    "year_founded": 2025,
    "city": "London",
    "country": "GB",
    "linkedin_url": "https://www.linkedin.com/company/brickwiseai",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/48c389a46401af22e7cde8396ad1941ad05a7401.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
    },
    "founders": [
      {
        "user_id": 190230,
        "full_name": "Ismail Jeilani",
        "title": "Founder/CEO",
        "founder_bio": "AI property manager for landlords and estate agents. 2x founder (VC backed) and ex-google.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/jeilani",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8b2821d53f3e432faf86e3400b00f6b8adb3434d.jpg"
      },
      {
        "user_id": 426122,
        "full_name": "Elias Kassell",
        "title": "Founder",
        "founder_bio": "Automating property management. Ex-Google, ex-Dataform early hire.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/eliaskassell/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/db06ea2a6d5048ea8866c05d0f827d3c2db14198.jpg"
      }
    ],
    "jobs": [
      {
        "id": 114095,
        "title": "Sales Development Representative (SDR) - £40k-£50k Base (£70k+ Uncapped OTE)",
        "url": "https://www.ycombinator.com/companies/brickwise/jobs/RGpTj8P-sales-development-representative-sdr-40k-50k-base-70k-uncapped-ote",
        "location": "England, GB",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "£70K - £100K GBP",
        "equity_range": "0.10% - 0.30%",
        "experience": "1+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 95234,
        "title": "Brickwise - AI Property Manager 🏡",
        "tagline": "Automating maintenance for landlords and property managers",
        "body": "Hey everyone[ 👋](https://emojipedia.org/waving-hand)\n\nWe’re[ Ismail](https://www.linkedin.com/in/jeilani) &[ Elias](https://www.linkedin.com/in/eliaskassell/?miniProfileUrn=urn%3Ali%3Afs_miniProfile%3AACoAABeEg0EB4O6J8hjKE8dqLAnLjFXI3sosGQs) - co-founders of[ Brickwise](https://www.brickwiseai.com).\n\n# **TL;DR**\n\n**Brickwise is building an AI property manager that automates maintenance for landlords and property managers.**\n\nLandlords usually get into property as a way to make money. They quickly realise it requires a lot of work, so they hand things over to property managers. On average, 1 property manager is hired for every 120 properties. That’s just the cost of property management.\n\nBrickwise is making it possible to deliver profits and margins that haven’t been possible pre-AI.\n\nOur Launch Video: https://www.youtube.com/watch?v=aDJyMnw8jpE\n\n**Ask:** Are you a landlord or property manager? Or, do you know landlords or property managers? I’d love to speak to them directly: [ismail@brickwiseai.com](mailto:ismail@brickwiseai.com)\n\n---\n\n# **Problem ❌**\n\nThere are 240,000 property management firms in the US. They spend \\~$56bn per year on salaries to manage properties. This reality is true pretty much everywhere in the world. In Europe, 214,000 firms spend \\~$35bn on salaries.\n\nHow are these salaries financed? On average, an owner has to pay 10% of their monthly rent (before mortgages, taxes, repairs) to property managers.\n\nThis represents half the problem (literally). 50% of landlords are so put off by the cost of using a property manager, they choose to manage it themselves.\n\nUnfortunately, this just hasn’t been solvable before. The more properties you have, the more people you need. One person can only answer so many emails or respond to so many calls.\n\nAs a team, we’ve been there before, building a small property management firm overseeing 130 properties. We understand the nuances of managing properties, from maintenance issues to evictions.\n\nWe also understand why only now technology has made it possible to change this.\n\n# **Solution ✅**\n\nBrickwise will one day automate the entire property lifecycle. We’re starting by making the most labour-intensive part as automated as possible: maintenance.\n\n**Part 1 - 24/7 support via call, email and text**\n\nTenants are given a phone number and email that they can contact 24/7 (you can also try it yourself!)\n\n![uploaded image](/media/?type=post&id=95234&key=user_uploads/190230/ef9b52f3-74fb-4132-a7ac-b10c4fc328b7)\n\nOur AI agent does more than just triage and arrange visits. It actually understands issues and suggests fixes on the spot.\n\n![uploaded image](/media/?type=post&id=95234&key=user_uploads/190230/106cee28-b84f-49cb-ac19-ecfc8c643333)\n\n**Part 2 - Organising and arranging contractors**\n\nOf course, not all issues can be resolved over call or text. Often, someone needs to take a look. This usually involves a series of phone calls between the property manager, the tenant and the contractor. When you’re managing thousands of properties, resolutions take time. Reasons include (but are not limited to):\n\n* Someone’s out of office\n* You’ve been assigned a new property manager\n* The contractor didn’t pick up their phone (and your property manager forgot to call back)\n* It’s a weekend and your issue isn’t urgent\n* They’re getting multiple quotes because the repair is expensive\n\nWhatever the reason, everyone is unhappy when things take long. The beauty of AI is its ability to speak to many people at the same time. This means as soon as our agent picks up an issue, it is able to contact dozens of contractors (external or internal) at the same time.\n\n![uploaded image](/media/?type=post&id=95234&key=user_uploads/190230/f8bbbc58-1056-4271-a561-5c56357a6f7b)\n\n**Part 3 - Keeping everyone updated, like “real life read receipts”**\n\nProperty managers are always kept in the loop with everything the agent is doing, giving them the exact oversight they need. At the same time, tenants are always updated with how things are progressing. These systems are automated, and most importantly scalable. We can manage instant updates for thousands of tenants.\n\n![uploaded image](/media/?type=post&id=95234&key=user_uploads/190230/065b1dd8-e4e4-42f8-aee2-5be5f1c1facb)\n\n# Ask 💬\n\nIf you are, or you know any of the following, I’d love to hear from you:\n\n**Property Managers**\\\nYou’re probably managing hundreds or thousands of properties and are figuring out if this AI thing makes any sense for you. Is it as good as it sounds? Does it integrate into my current PMS?\n\n**Landlords**\\\nYou might be a professional landlord, or you might be a software engineer running the family property business on the side. You’d rather not, but there’s no one else that’s able to do it.\n\nYou can reach out to us at [ismail@brickwiseai.com](mailto:ismail@brickwiseai.com)\n\n# Team\n\nIsmail is an ex-Googler and previously the founder of LiveLink, an AI video editing platform that edited 150k videos per month for over 1000 customers. They raised $3m. He also ran his own property business helping oversee 130 properties.\n\nElias was an early engineer at Dataform (YC W18) who were acquired by Google. At Google he worked in the core team that grew Dataform’s revenue at Google from 0 to $100m in 4 years. He left Google to create Busbysims, a platform for engineers to design systems, before starting Brickwise.\n\nFun fact: Elias was the only member of the Dataform team who did NOT want to take the acquisition!",
        "url": "https://www.ycombinator.com/launches/Om2-brickwise-ai-property-manager",
        "votes": 3092,
        "created_at": "2025-11-05T23:24:34.432Z"
      }
    ]
  },
  {
    "id": 30853,
    "name": "Bolna AI",
    "slug": "bolna-ai",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0b089abe00badc05c8bba9c5210bd4a34f636170.png",
    "website": "https://bolna.ai",
    "all_locations": "Bengaluru, KA, India",
    "long_description": "Bolna handles the complexity of voice infra, so enterprises can automate calls faster, better, and cheaper, at scale\r\n\r\nBolna is a Voice AI Orchestration platform purpose-built for Indian enterprises.\r\nBusinesses in India run tens of thousands of calls every day - across sales, support, collections, recruitment, and more. Bolna gives them the power to build and deploy Voice AI Agents directly from their transcripts and FAQs, so they can start automating calls immediately.\r\n\r\nWith Bolna, enterprises get:\r\n\r\n1. Full control over agent intelligence, tone, and workflows\r\n2. Cost efficiency at scale with smart routing across providers and price points\r\n3. Enterprise-grade performance on latency, interruptions, multi-language, and multi-accent understanding\r\n\r\n",
    "one_liner": "Voice AI to enable India's next billion",
    "team_size": 21,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1758900227,
    "tags": [
      "B2B",
      "Infrastructure",
      "AI",
      "Conversational AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Fall 2025",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "India",
      "South Asia",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/bolna-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/bolna-ai.json",
    "year_founded": null,
    "city": "Bengaluru",
    "country": "IN",
    "linkedin_url": "https://www.linkedin.com/company/bolna-ai/",
    "x_url": "https://x.com/bolna_dev",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/whismurwave-inc",
    "github_url": "https://github.com/bolna-ai/bolna",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0b089abe00badc05c8bba9c5210bd4a34f636170.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [
      "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/f1ccd6a8c9fc96f2cb6904ab26e0b38dfaa5ea8a.png"
    ],
    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
    },
    "founders": [
      {
        "user_id": 1427127,
        "full_name": "Maitreya Wagh",
        "title": "Founder/CEO",
        "founder_bio": "Engineer turned Consultant turned AI Founder. Building the Total Voice AI Ochestration for India. Love sports and travel",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/maitreya-wagh/",
        "x_url": "https://x.com/maitreya_wagh",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fd57dd6d87585a243317dbf8e55d05df3a61701c.jpg"
      },
      {
        "user_id": 340680,
        "full_name": "Prateek Sachan",
        "title": "Founder/CTO",
        "founder_bio": "Building the Voice API infrastructure platform for India.\n\nPreviously built and scaled Zomato, Tata 1MG, BrowserStack & Atlassian.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/prateek-sachan",
        "x_url": "https://x.com/xan_ps",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5b79cc81789e524489e929c7c68ca77473fa839a.jpg"
      }
    ],
    "jobs": [],
    "news": [
      {
        "title": "Bolna nabs $6.3M from General Catalyst for its India-focused voice orchestration platform",
        "url": "https://techcrunch.com/2026/01/20/bolna-nabs-6-3-million-from-general-catalyst-for-its-india-focused-voice-orchestration-platform/",
        "date": "Jan 20, 2026"
      },
      {
        "title": "Bolna AI’s Bold Bet: Becoming the Distribution Layer for Every Voice Model",
        "url": "https://analyticsindiamag.com/ai-startups/bolna-ais-bold-bet-becoming-the-distribution-layer-for-every-voice-model/",
        "date": "Sep 09, 2025"
      }
    ],
    "launches": [
      {
        "id": 94216,
        "title": "Bolna - Voice AI for India",
        "tagline": "We enable Indian businesses to automate calls with multilingual, realistic Voice AI agents",
        "body": "Call our AI Agents at [+18722412481](tel:+18722412481) or [+912269539260](tel:+912269539260) to know everything about Bolna!\n\nhttps://www.youtube.com/watch?v=Lq9ouROmRHA\n\n**The Problem**\n\nIn India, phone calls remain the backbone of how businesses operate - from banks chasing loan repayments, to edtech companies qualifying leads, to e-commerce brands confirming deliveries. Millions of such calls happen every day. But the system is broken:\n\n* **20+ Languages, 200+ Accents/Dialects**: Building a team that can handle all is impossible. Calls often switch mid-conversation (Hindi → Hinglish → Gujarati), and only a natural, adaptive AI can follow along and give a personalised experience to each caller.\n* **Context-Dependent Requirements**: A delivery driver in Bangalore needs a low-latency, Kannada-capable model with high noise cancellation. A recruitment call to an engineer requires a slower but higher-quality reasoning model. There is no “one model to rule them all,” and integrating and managing 100s of models at scale is an unwanted hassle for businesses.\n* **Cost Efficiency at Scale**: In India, every rupee matters. Voice AI must be engineered for efficiency - pre-recorded messages for common utterances, smaller vertical-focused models, and intelligent routing to minimize token usage.\n\n![uploaded image](/media/?type=post&id=94216&key=user_uploads/1427127/bb2d0f37-0050-4606-8271-c8664a3d541b)\n\n**The Solution**\n\nBolna is a **Voice AI Platform** purpose-built for India’s scale, linguistic complexity, and cost sensitivity. We enable enterprises to go live with thousands of concurrent calls in days, not months.\n\n* **Enterprise-grade performance**: Sub-500ms latency, interruption handling, multi-language (10+) and accent (50+) adaptation, fluent in natural multi-language conversations (Hinglish, English + Tamil etc.)\n* **India-specific routing**: Bolna automatically picks the optimal model blend for the context, regardless of language, region, or use case.\n* **Cost-efficiency engine**: Calls are optimized with pre-recorded inserts, cheaper small models where possible, and routing logic that prioritizes ROI without sacrificing experience.\n* **Complete control**: Enterprises define workflows, tone, and intelligence. Bolna handles everything behind the scenes.\n\nToday, Bolna powers **500K+ minutes of calls every month** across BFSI, e-commerce, and recruitment. Customers achieve **higher pickup rates, lower costs, and faster deployments** than with any alternative.\n\nFor Indian enterprises, Bolna is not just automation, it is the fastest path to scaling voice operations profitably.\n\n![uploaded image](/media/?type=post&id=94216&key=user_uploads/1427127/b5dd1f69-0a2d-4256-97d8-fc281cbccd14)\n\n",
        "url": "https://www.ycombinator.com/launches/OVc-bolna-voice-ai-for-india",
        "votes": 38,
        "created_at": "2025-09-30T05:29:03.741Z"
      }
    ]
  },
  {
    "id": 30854,
    "name": "Hyperspell",
    "slug": "hyperspell",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4149c6afc651c9770fc182e08dde776e24f88554.png",
    "website": "https://hyperspell.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Hyperspell is your Company Brain. AI agents are brilliant and clueless. They ace any test and still have no idea how your company works. Hyperspell connects your tools and synthesizes documents and conversations into a live, permissioned context graph. Any agent can read from it and write back to it like a filesystem, with every fact traced to source.",
    "one_liner": "Your Company Brain",
    "team_size": 8,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1760534513,
    "tags": [
      "Machine Learning",
      "SaaS",
      "Data Engineering",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Fall 2025",
    "status": "Active",
    "industries": [
      "B2B",
      "Infrastructure"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
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      {
        "id": 94666,
        "title": "Hyperspell: Memory for AI Agents",
        "tagline": "Give your agents long-term memory and context from your entire workspace",
        "body": "[**Hyperspell**](https://hyperspell.com) **is the memory layer for AI agents.** We help developers connect data from tools like Slack, Gmail, Notion, and Google Drive so their agents can recall, reason, and learn over time.\n\n🎬 Watch our launch video: https://youtu.be/t6ji-n9qHYo?si=rALHJ2KaTiAieEvq\n\n---\n\n### Hi there!\n\n**Conor** led a $30m ARR API business at Checkr, building infrastructure used by tech companies like Doordash and Airbnb. **Manu** has 15+ years of Machine Learning experience. His previous ML/AI startup got acquired by Airbnb, where he went on to build Airbnb’s first Knowledge Graph. Manu has also owned .ai domains since 2014 when he bought one for his first startup (back then he had to send a fax to Antigua to get one).\n\n![uploaded image](/media/?type=post&id=94666&key=user_uploads/31259/5e5241c7-861b-4213-b864-c448b6091fba)\n\n> ---\n\n### **AI Agents are clueless geniuses**\n\nToday, AI agents show up like it’s their **first day on the job** — sometimes impressive, but with no awareness of your context, institutional knowledge, history, and preferences. Worst of all, without the ability to learn and improve, they will only ever be as good as they are on day one.\n\n---\n\n### **Hyperspell fixes that.**\n\nWith our SDK, developers can add a context and memory layer to any agent in minutes. Pre-built connectors let users connect their tools like Gmail, Notion, and Slack, so that **memory doesn’t start from zero**: Hyperspell will analyze all existing files and conversations, figure out the important people, projects, and facts, and make it all available to your agent through our Agentic Memory Network.\n\n![uploaded image](/media/?type=post&id=94666&key=user_uploads/31259/036418ad-5a83-4da0-95d0-c939ec3fafa2)\n\nBest of all, **it improves with every single interaction:** Our novel approach to memory reinforces what’s being recalled, and helps your agent improve over time.\n\n![uploaded image](/media/?type=post&id=94666&key=user_uploads/31259/282eb1cf-bd7f-49b5-81e3-a5fe74e53896)\n\n### **But wait, there’s more!**\n\nThere’s lots of different ways our customers use Hyperspell, and because of that there’s lots of different ways you can integrate Hyperspell into your own agent. To make this easier, we created the **first ever self-integrating SDK**. \n\nWatch how we go from zero to production-ready PR on an unknown codebase with our custom Claude Code skill:\n\nhttps://www.youtube.com/watch?v=gfYsXJJsX3k\n\n# **Our Asks:**\n\n* Book a demo right now: https://cal.com/conor-brennan-burke/\n* Spread the word on linkedin and twitter: \\\n  [https://www.linkedin.com/company/hyperspell](https://www.linkedin.com/company/hyperspell/%5C)\\\n  https://twitter.com/hyperspell\n* Share your feedback with [conor@hyperspell.com](mailto:conor@hyperspell.com)\n\n![uploaded image](/media/?type=post&id=94666&key=user_uploads/31259/f032811f-ff1e-4f87-af1c-edd2f051e25f)\n\n",
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      {
        "id": 101753,
        "title": "Aspect: Intelligent media storage for creative teams.",
        "tagline": "Aspect is the creative asset management platform that lets teams store, stream, review, and archive media in one place.",
        "body": "# TL;DR\n\nYour editor shouldn't have to download 100GB to start cutting. Your producer shouldn't have to re-upload that same file to review it. And nobody should be Slacking “which Dropbox folder is the latest version?” at 11pm. Aspect is the single platform where footage goes from upload, to local editor timeline, to client review link, without touching a second tool. Oh, and every workspace has an AI agent that knows every face, every word, and every frame across your entire library.\n\n# What Aspect does:\n\n[**Cloud storage that connects like a hard drive:**](https://aspect.inc/features/instant-access) Aspect mounts to your desktop like an SSD, and streams the bytes your application needs, so a 200GB R3D timeline plays back the moment you double-click it, even if your laptop only has 50GB free. Every project change syncs in real time across your team, so everyone can work on the same timeline.\n\n**Agentic search and work:** For the first time, a media platform comes with an AI agent that actually understands your content. Say _“collect everything from the Chicago shoot with the client’s logo, add it to a collection, and send a view-only link to the client”_ and it just does it.\n\n[**Review and approve:**](https://aspect.inc/features/review-and-approve) Every asset your team uploads or exports to the Aspect drive is instantly reviewable. Frame-accurate commenting, markup tools, version comparison, and customizable share links are built into every file.\n\n# How do I actually use this?\n\nUse Aspect as your team’s single source of truth for media files on the cloud and locally on your desktop. Our team will copy over any files your team already has on Dropbox, Google Drive, Frameio, or any other platform for free.\n\n**1)** Start by mounting a project from Aspect to your local desktop. Your project shows up as a hard drive on your computer. Open any file, no matter how large, and we will stream the bytes your computer needs to play back the video instantly. Any changes you make in a Premiere, Resolve, or Final Cut project show up for everyone else on your team in their timeline as well.\n\n![uploaded image](/media/?type=post&id=101753&key=user_uploads/1087643/f374bc9d-a686-414a-9a8e-4547c8f89e92)\n\n**2)** When you are looking for a piece of media, ask the Aspect agent to retrieve it for you. Right click on a file and open it directly in Finder:\n\n![uploaded image](/media/?type=post&id=101753&key=user_uploads/1087643/60636a50-1da5-4665-bd15-603f12eae6bd)\n\n**3)** When you are done with a rough or final cut, export the file back to the Aspect drive. New files sync across everyone who has the project mounted, and a preview will be generated automatically for your team to view the file on any browser:\n\n![uploaded image](/media/?type=post&id=101753&key=user_uploads/1087643/6eb26f19-ec05-4d2e-b8e7-1136fcc3224f)\n\n**4)** Review, markup, comment, and share this file the same way you would on any platform:\n\n![uploaded image](/media/?type=post&id=101753&key=user_uploads/1087643/f20bd7b5-59d4-4552-8a00-c4aa63037f10)\n\nAnd when you are done with a project or campaign, move them to archive storage with one click where your team can still view, search, and share assets.\n\n# Aspect is how teams save dozens of hours and thousands of dollars working with their media.\n\nMedia teams today are forced to stitch together multiple point solutions because there wasn't a platform that could do it all. Files lived in Dropbox, reviews live in Frameio, and editors streamed from LucidLink. That’s three subscriptions, three sources of truth, none of them connected. Aspect replaces all three, built with an agent that’s like having a DIT who’s already watched every frame.\n\n### **Do us a favor**\n\nIf you know someone that works in post-production, **send them this post!** If you are someone who works at a post-house, creative agency, or an in-house creative team, let’s see how we can help your team ship content faster: <https://cal.com/team/aspect/aspect-for-teams>\n\n![uploaded image](/media/?type=post&id=101753&key=user_uploads/1087643/71f8d28c-dea4-4d5c-9012-fe1236587b07)\n\n",
        "url": "https://www.ycombinator.com/launches/QTB-aspect-intelligent-media-storage-for-creative-teams",
        "votes": 22,
        "created_at": "2026-05-22T02:59:09.771Z"
      },
      {
        "id": 94992,
        "title": "🎥 Aspect: AI platform for enterprise media content",
        "tagline": "We help enterprise content teams go from ingest, to rough cut, to final delivery faster by automating non-creative work",
        "body": "Hey! We’re Edison, Gurish, and Bright - founders of [Aspect](https://aspect.inc) 🎥 💥\n\n### **TL;DR**\n\nWe’ve spent **10,000+ hours** with in-house content teams as the founding members of a media asset management company, learning every broken part of their workflow. Post-production supervisors and assistants still have to organize folders, check revisions, comb through old content, and update data across project management tools, not to mention constant upkeep with clients. These are just a few of the manual tasks keeping creatives from doing what they love.\n\n**Aspect takes care of everything and more.**\n\n<https://www.youtube.com/watch?v=1EwHnYKPWBo>\n\n### What Aspect Does:\n\n* Ingests media from traditional post-production storage apps and NAS storage\n* Crawls every frame of video to create a humanlike understanding of whole libraries\n* Connects to other business tools to keep data in sync without human intervention\n* Searches for second-accurate clips, assembles rough cuts, reviews footage, creates folder trees - anything a post-production expert can do, Aspect can do\n\nAspect is the single source of truth from ingest, to rough cut, and final delivery, with agents you can send off to do the mundane work you hate.\n\n### How do I actually use this?\n\nAsk Aspect to pull your latest storyboard from an external app, or upload a PDF and ask it to assemble a rough cut from your latest shoot:\n\n![uploaded image](/media/?type=post&id=94992&key=user_uploads/1087643/8622bede-339a-44b8-bcde-f48fa6304dc7)\n\nUse the @ in a comment like you would with a teammate and ask Aspect to review a video based on revision notes from a previous version or another app:\n\n![uploaded image](/media/?type=post&id=94992&key=user_uploads/1087643/de627308-8f5b-4e4d-8dc5-b14fa894a57a)\n\n…and so much more.\n\n### Aspect is the Future of media Production:\n\nPrevious waves of media-tech only focused on simplifying media retrieval with brittle tagging and non-actionable semantic search. The reality is that searching for files is just a fraction of the time wasted by post-production teams. Aspect is built on agents with humanlike **visual-temporal understanding**, so they _go beyond_ _just search_ - they work with video like any post-production teammate and can scale infinitely.\n\n### Our Story:\n\nWe’re [Edison](https://www.linkedin.com/in/edison-chiu/), [Gurish](https://www.linkedin.com/in/gurish-sharma-/), and [Bright](https://www.linkedin.com/in/brightxu/)! We spent 3 years learning about every role in post-production teams across thousands of companies. Post-production is by far the most human labor concentrated task in the creative journey, which is why we are building _the autonomous layer_ for the $200B video production industry.\n\n![uploaded image](/media/?type=post&id=94992&key=user_uploads/1087643/80f3db12-ae95-4e7b-afbf-1e6e14e5d0e9)\n\n### Do us a favor:\n\nIf you know someone that works in post-production, **send them this post!** If you are someone who works at a post-house or within an in-house media team, let’s see how we can make your team move faster: <https://cal.com/team/aspect/aspect-for-teams>\n\nWe are available whenever you are at 📫 [founders@aspect.inc](mailto:founders@aspect.inc) and 🌐 [aspect.inc/](https://aspect.inc)\n\n![uploaded image](/media/?type=post&id=94992&key=user_uploads/1087643/53e175e2-728b-4b53-b931-6e7628c70249)\n\n",
        "url": "https://www.ycombinator.com/launches/Oi8-aspect-ai-platform-for-enterprise-media-content",
        "votes": 23,
        "created_at": "2025-10-29T01:25:45.072Z"
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "At Deeptrace, we’re building AI agents that investigate and resolve production alerts end-to-end. Deeptrace cuts through the noise, pinpoints root causes instantly, and gives engineering teams back what they need most: the freedom to build instead of firefighting.\r\n\r\nIn production, we're already seeing a reduction in time spent triaging, investigating, and resolving alerts with some of the fastest growing companies in the world.",
    "one_liner": "AI agents for on-call",
    "team_size": 4,
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        "full_name": "Andy Lee",
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        "id": 95393,
        "title": "Deeptrace - AI agents for on-call",
        "tagline": "Triage, root-cause, and fix every engineering alert on autopilot",
        "body": "**tl;dr** Deeptrace is an AI SRE that investigates and resolves production alerts end-to-end. Deeptrace cuts through the noise, pinpoints root causes instantly, and gives engineering teams back what they need most: the freedom to build instead of firefighting.\n\nHey everyone! This is Andy and Sri from Deeptrace, and we’re building the tool we always wished we had as engineers: AI agents for on-call :) \n\n[Deeptrace: AI agents for on-call](https://www.youtube.com/watch?v=G7xrTHTxZ4k)\n\n🚨 **Problem**\\\nModern engineering teams spend the majority of their time maintaining and debugging production systems. The process of triaging, root causing, and resolving alerts is a massive drag on engineering velocity. This also creates fragile dependencies within an engineering org where no one engineer can hold every system in their head.\n\n**💡 Our Solution**\\\nAI agents that debug every issue, crash, and alert in production automatically from alert to PR. Here’s how it works:\n\n**1) AI FDE model:** Build an internal mapping between your logs, traces, metrics, and codebase to truly understand how your production system behaves.\\\n**2) Automatic PRs:** Use the context from each investigation to make a targeted PR to remediate the issue.\\\n**3) Chat:** Engage in a co-pilot experience with Deeptrace to vibe debug and dig deeper into an issue.\n\n**🤝 Our ask**\\\nWe’d love to talk! Check us out [here](https://deeptrace.com) and feel free to email us at: [founders@deeptrace.com](mailto:founders@deeptrace.com) or book a [meeting](http://cal.com/sri-deeptrace)! ",
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        "full_name": "Abhimanyu Yadav",
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        "url": "https://www.ycombinator.com/companies/trelium/jobs/UBebsyO-founding-engineer",
        "location": "IN / Remote (IN)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$25K - $35K",
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        "id": 121520,
        "title": "Paul by Trelium",
        "tagline": "An AI automation scout that finds repetitive work and shows your team what to automate.",
        "body": "Meet Paul, an agent built on Trelium to be our Lazy Champion and automation scout 🐧 His job is simple: figure out where your team could be doing less. \n<https://www.youtube.com/watch?v=sjyM_gIDmB0>\nOver the last year, we rebranded Questom to Trelium and evolved from building AI agents for B2B inbound sales into a platform where non-technical enterprise teams can build deterministic AI agents in simple English to automate back-office work across the tools they already use. Since then, we have been creating value for distributors, suppliers, and decorators across print, merch, and apparel by helping them automate work like order entry, purchase order creation, PO-invoice matching and a lot more.\n\nIn sales calls, we keep hearing the same thing: “We want to use AI, but we do not know what to automate.” The funny part is that figuring this out is still extremely manual. AI audits usually mean workshops, interviews, process maps, and asking people to remember all the repetitive things they do. But the work wasting the most time is often so routine that nobody even remembers to mention it.\n\nSo we thought, why not make Paul? Paul is an agent built on our own platform, and now he is available to everyone. Connect him to places like email and chat, and he watches how work actually moves across your team, spots repetitive processes, and tells you what is worth automating. He might notice someone doing the same tiny task 40 times a week because apparently copy-paste has become a job description. Instead of a giant consulting deck, Paul gives you the opportunity, the reasoning behind it, and a ready-made prompt to build that agent on Trelium.\n\nWe have been using Paul on ourselves too, and unfortunately he keeps finding things. The idea is simple: spend less time talking about “adopting AI” and more time removing work nobody wanted to do in the first place. Paul has mastered laziness. We are trying to catch up. 🐧\n\n[trelium.com/PaulThePenguin](http://trelium.com/PaulThePenguin)\n",
        "url": "https://www.ycombinator.com/launches/Vc0-paul-by-trelium",
        "votes": 3,
        "created_at": "2026-10-11T22:23:55.414Z"
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      {
        "id": 95375,
        "title": "Questom: AI Agents for B2B Inbound Sales",
        "tagline": "We build AI agents that answer inbound calls, emails, and chats for B2B companies, collecting requirements, quoting orders, sending updates, and turning conversations into revenue.",
        "body": "Hey everyone, Ritanshu and Abhimanyu here from Questom.\n\nWe’re building **AI agents that handle the everyday conversations B2B companies rely on to sell.**\\\n\\\n[**Questom: AI Agents for Sales**](https://youtu.be/EkodDghaQ4A)\n\n## **TL;DR**\n\nMost B2B revenue still runs through **phone calls and emails**, not websites.\n\nTeams struggle to:\n\n* answer every inquiry\n* follow up consistently\n* collect details cleanly\n* apply the right catalog + pricing rules\n* generate accurate quotes\n* and keep customers updated\n\nQuestom trains **AI sales agents** that do all of this automatically, using your workflows, your rules, your language, and your systems.\n\nOur agents live directly inside the communication channels B2B teams already use:\n\n**📞 Phone • 📧 Email • 💬 Chat • 📱 SMS**\n\nThey handle inbound conversations end-to-end and hand off to humans only when needed.\n\n# **🚨 The Problem**\n\nAcross wholesalers, distributors, field-service companies, custom-order shops, foodservice, industrial supply, packaging, labels, and more — the story is the same:\n\n**Revenue depends on conversations.**\n\nEvery day teams handle:\n\n• “Can you do this?”\n\n• “How much will it cost?”\n\n• “Can I get it by Friday?”\n\n• “Where’s my order?”\n\n• “Can I change something?”\n\nBut these companies run lean.\n\nSales, operations, and customer service are often the _same people_ juggling:\n\n* quoting\n* re-quotes\n* customer updates\n* scheduling\n* inventory/lead-time questions\n* supplier coordination\n* repeat jobs\n* production constraints\n\nWhen things get busy, response times slip, inboxes pile up, and high-intent buyers quietly move on.\n\nThis creates:\n\n* Missed revenue\n* Burnt-out teams\n* Customers who don’t come back\n* An invisible tax on growth\n\nPeople think “chatbots” solve this, but bots don’t understand:\n\n* catalogs\n* pricing rules\n* discounts\n* exceptions\n* minimums\n* production timelines\n\nB2B sales is _not_ FAQ automation.\n\nIt’s conversational problem-solving.\n\n# **💡 The Solution**\n\n**Questom builds AI sales agents that run your inbound sales process.**\n\nThey learn:\n\n* your catalog\n* your pricing\n* your discounts & exceptions\n* your constraints\n* your approval flows\n* your lead times\n* your edge cases\n* your CRM/ERP logic\n\nThe agent:\n\n* answers instantly\n* asks the right questions\n* collects order requirements\n* applies your pricing logic\n* generates quotes and revisions\n* manages follow-ups\n* sends status updates\n* and pushes structured orders into your ERP/CRM\n\nWhen needed, the agent hand-offs to a human with full context, so nothing gets lost.\n\n### **Operational impact:**\n\n* Faster first responses\n* Fewer missed inquiries\n* More accurate quoting\n* More deals closed\n* Less repetitive messaging\n* Happier customers\n* Less load on your team\n\n# **⚡ Early Results**\n\nAcross our pilots with wholesalers, print companies, and multi-location brands:\n\n* Up to **50%** of inbound sales conversations fully automated\n* Meaningful **AOV lift** from smart upsells\n* Backlogs cleared within days\n* More quotes sent → more revenue captured\n* Teams finally able to focus on higher-value work\n\n# **👥 About Us**\n\n**Ritanshu** grew up in a 75-year-old wholesale business, worked at Google (Wing) and Tesla, and previously bootstrapped a SaaS product to $45K ARR.\n\n**Abhimanyu** spent 7 years in Applied ML Research at Apple working on conversational intelligence, with CS degrees from IIT Kanpur and Columbia.\n\nWe’re combining **deep B2B operational understanding** with **real applied ML** to solve one of the oldest, hardest problems in the industry:\n\n**turning everyday conversations into revenue automatically.**\n\n# **🤝 Our Ask**\n\nIf you know a B2B company that:\n\n* handles lots of inbound calls\n* quotes custom or configured orders\n* relies heavily on phone or email\n* struggles with response time\n* or is drowning in repetitive sales conversations\n\nWe’d love to talk.\n\n📩 [founders@questom.ai](mailto:founders@questom.ai)\n\n📅 [Book a meeting](https://cal.com/meetabhimanyu/investor-chat)\n\n![uploaded image](/media/?type=post&id=95375&key=user_uploads/89898/659e2fe4-f8b3-48cb-8421-7de00c3b637b)\n\n",
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        "full_name": "Sai Gurrapu",
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        "full_name": "Aayush Naik",
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        "title": "Hopper - Agentic Development Environment for Mainframe/COBOL",
        "tagline": " It combines a real TN3270 terminal and an AI agent that can operate across z/OS workflows like COBOL, VSAM, and CICS.",
        "body": "**TL;DR:** We’re launching **Hopper**, an agentic development environment for IBM mainframes. It combines a real TN3270 terminal and an AI agent that can operate across z/OS workflows like COBOL, VSAM, and CICS.\n\nDownload it here: <https://www.hypercubic.ai/hopper>\n\nVideo walkthrough: <https://www.youtube.com/watch?v=q81L5DcfBvE>\n\nYou can also request access and immediately get a mainframe user account to try it.\n\n## **Problem**\n\n![uploaded image](/media/?type=post&id=101267&key=user_uploads/317991/43b88f08-689e-437f-9057-42a45c15eb56)\n\nMainframes still run a huge amount of critical infrastructure: banking, payments, insurance, airlines, government programs, logistics, and core enterprise operations.\n\nA lot of that software is written in COBOL and runs on IBM z/OS. These systems are reliable, secure, and deeply embedded into business operations, but the development environment looks nothing like modern software development.\n\nModern AI coding tools assume repos, files, shells, package managers, test runners, and CI pipelines.\n\nMainframe development is an entirely different computing paradigm.\n\nA simple COBOL change might require finding the right source member, checking copybooks, locating compile JCL, submitting a job, reading JES/SYSPRINT output, interpreting condition codes, patching fixed-width source, and resubmitting.\n\nMuch of this work is structured and repetitive, but today it still depends heavily on expert humans who know how to navigate the terminal, interpret output, and follow local conventions.\n\nA chatbot next to a terminal is not enough.\n\nFor AI to be useful here, the agent needs to operate inside the mainframe environment itself.\n\n## **Solution**\n\nToday we’re launching **Hopper**, an agentic development environment for mainframes.\n\nHopper combines three things:\n\n1. A real TN3270 terminal\n2. Mainframe-aware panels for datasets, members, jobs, and spool output\n3. An AI agent that can operate across z/OS workflows\n\nThe agent can navigate ISPF, inspect datasets, write and edit COBOL, generate and modify JCL, submit jobs, parse JES spool output, analyze return codes, query VSAM, interact with CICS, and explain failures.\n\n![uploaded image](/media/?type=post&id=101267&key=user_uploads/317991/2c056d32-2347-4dd9-9b53-697349527628)\n\n\n## **Why this matters**\n\nThe mainframe is not just a codebase. It is an operating environment with its own workflows, conventions, interfaces, and failure modes.\n\nMost AI coding tools treat legacy systems like static repositories. That misses a huge part of the real work.\n\nIn mainframe environments, the important context often lives across terminal screens, datasets, job output, copybooks, CICS regions, VSAM files, scheduler conventions, and decades of operational knowledge.\n\nHopper’s design principle is simple:\n\nPreserve the fidelity of the mainframe environment, but make it accessible to AI agents.\n\nOnce agents can safely operate inside the mainframe, new workflows become possible:\n\n* Faster job debugging\n* Automated documentation\n* Safer COBOL changes\n* Test generation\n* Migration planning\n\nWe think this is the missing layer between today’s AI coding tools and the mission-critical systems that still run much of the world.\n\n## **Who we are**\n\nWe’re Sai and Aayush, former Apple AIML engineers, and we’re building Hypercubic to bring AI-native maintenance and modernization infrastructure to mainframe and COBOL systems.\n\n### **🤝 What we’re looking for**\n\n* **Intros:** Connections to CIOs, CTOs, VPs of Engineering, or Heads of Modernization at Fortune 500 companies, particularly in banking, insurance, manufacturing and retail.\n* **Enterprises** running COBOL or mainframe workloads exploring modernization or knowledge retention.\n* **Systems integrators / consultancies** seeking AI-powered tooling for mainframe understanding and modernization.",
        "url": "https://www.ycombinator.com/launches/QLL-hopper-agentic-development-environment-for-mainframe-cobol",
        "votes": 4,
        "created_at": "2026-05-12T22:10:37.540Z"
      },
      {
        "id": 94926,
        "title": "Hypercubic – AI to maintain and modernize COBOL/Mainframes",
        "tagline": "Capture and preserve decades of institutional human expertise from your mainframe systems.",
        "body": "# **TLDR ⚡️**\n\nHypercubic helps Fortune 500s understand, preserve, and modernize their critical mainframe systems. These are the COBOL systems from the 1960s that still power banking, insurance, retail, airlines, government and more.\n\n# **Asks 🤝**\n\nWe’d love intros to:\n\n* CIOs, CTOs, VPs of Engineering, or Heads of Modernization at Fortune 500s, especially in banking, insurance, logistics, and airlines.\n* Any enterprise running COBOL or mainframe workloads.\n* Systems integrators or consultancies that work on mainframe maintenance or modernization.\n\n# **The Problem**\n\n**70% of the Fortune 500 enterprises still run on mainframes and COBOL originally built in the 1960s**. These systems run the global economy, yet they’ve become black boxes. The engineers who built and maintained these systems are retiring and what’s left behind is systems that are opaque, brittle, and nearly impossible to modify without risking production outages.\n\nThis institutional knowledge is a ticking time bomb:\n\n* **Vanishing Expertise:** The handful of engineers who understand the nuances of decades-old COBOL, JCL, and CICS systems are retiring or leaving.\n* **Failed Modernizations:** Without this deep expertise, modernization projects often fail, costing millions and creating brittle, unmaintainable systems.\n* **Inadequate Documentation:** Static, outdated documentation can't explain _why_ a system was built a certain way or how to debug a critical failure at 3 AM.\n\nCurrent \"AI for code\" tools analyze repositories, but they can't capture the unwritten rules, historical context, and architectural reasoning that lives only in the minds of the most senior engineers.\n\n**The result: trillion-dollar infrastructure with no surviving map or maintainers.**\n\n![uploaded image](/media/?type=post&id=94926&key=user_uploads/317991/40a1cc5c-9859-4df9-8dc4-50e9c7f9ab8f)\n\n![uploaded image](/media/?type=post&id=94926&key=user_uploads/317991/0ec58980-1b71-49bd-bdd7-6bd6fa926bc4)\n\n# **Our Solution**\n\n**Hypercubic is building an AI-native maintenance and modernization platform that learns how legacy mainframe systems _actually work_ — and captures the human reasoning behind them.**\n\nWe start with:\n\n* **HyperDocs**, which ingests complex COBOL, JCL, and PL/I codebases to generate accurate high-fidelity documentation, architecture diagrams, and dependency graphs — giving teams an instant, living map of their systems.\n* **HyperTwin**, which captures the institutional expertise of retiring engineers by observing their workflows, screen interactions, and verbal reasoning. It builds a _digital twin_ of the experts on how they debug, architect, and maintain these systems in practice.\n\nTogether, HyperDocs and HyperTwin form an institutional knowledge layer that links _code_, _systems_, and _human reasoning_ — **enabling the next phase: autonomous AI agents that can safely maintain and modernize critical mainframes end-to-end.**\n\n![uploaded image](/media/?type=post&id=94926&key=user_uploads/317991/d9b867b9-cb41-4152-bc37-4dd215405d92)\n\n![uploaded image](/media/?type=post&id=94926&key=user_uploads/317991/a4cebb8f-05e5-44b6-9e1b-9c932fdc7dbb)\n\n# **Why now?**\n\n**We’re at the tipping point of one of the largest knowledge transitions in human history.**\n\nFor decades, the systems that run our banks, airlines, and governments have quietly relied on a generation of engineers whose expertise lives only in their minds — and that generation is disappearing (baby boomer generation).\n\nAs the “silver tsunami” accelerates, **we’re watching trillions of dollars of institutional memory vanish line by line.** Every retirement is a lost encyclopedia. Every undocumented function is a forgotten decision that once held a company together.\n\nAt the same time, AI has finally evolved from pattern-matching to _reasoning_, giving us the tools to preserve and replicate that expertise before it’s gone.\n\n**For the first time, we can capture how systems think, not just how they run turning decades of fragile human memory into living, searchable intelligence.**\n\n![uploaded image](/media/?type=post&id=94926&key=user_uploads/317991/fd8874f2-b27c-4a7e-a8b9-a64325efe3d3)\n\n📩 You can reach us at [**team@hypercubic.ai**](mailto:team@hypercubic.ai) or learn more at [**www.hypercubic.ai**](http://www.hypercubic.ai)\n\n![uploaded image](/media/?type=post&id=94926&key=user_uploads/317991/b36ac655-321e-4b95-8907-3e3a6263ea2a)\n\n",
        "url": "https://www.ycombinator.com/launches/Oh4-hypercubic-ai-to-maintain-and-modernize-cobol-mainframes",
        "votes": 27,
        "created_at": "2025-10-28T14:17:21.889Z"
      }
    ]
  },
  {
    "id": 30880,
    "name": "Nessie",
    "slug": "nessie",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/400e4be5acfaa12735760bedcf4f0ad136f82137.png",
    "website": "https://nessielabs.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Knowledge work is being restructured by AI. Strategy happens in Claude. Research happens in ChatGPT. Building happens in Claude Code and Codex. Meetings get recorded, notes get written, agents run for hours and leave behind traces nobody reads. The people defining the next decade of work are already thinking with AI every day. But none of that thinking compounds. Every session starts from zero. The reasoning behind decisions, the context behind strategies, the evolution of ideas across hundreds of conversations - all of it evaporates.\r\n\r\nNessie is the infrastructure that makes it permanent. We auto-sync AI conversations and agent traces across every major provider - ChatGPT, Claude, Gemini, Perplexity, Claude Code, Codex, Cursor, OpenClaw, Hermes, and more - alongside meetings, notes, and email from tools like Granola, Read AI, Plaud, and Obsidian. Everything a team produces with AI flows into one place and compounds over time.\r\n\r\nNessie turns that raw, heterogeneous data into an ontology: the live state of a company. Not a static schema but a continuously updated record of what the company knows, what it has decided, who owns what, and how its thinking has evolved, kept current as new work flows in. It is queryable from any agent through our CLI, MCP connector, and plugins, shareable across a team with real permissions, and deployable on-prem for organizations that need it.\r\n\r\nThen the loop closes. Once a company’s state is legible to its agents, every agent run becomes training signal: which skills worked, which failed, which workflows keep repeating. Nessie feeds that signal back as reviewable improvements to the skills, prompts, and processes the team runs on. This is what makes a company recursive: its agents get better from its own history, the people working with them get better too, and the compounding never stops.\r\n\r\nWhere we are going: the AI-native organization runs thousands of agents that are powerful but amnesiac. Nessie is the layer that gives them, and the humans steering them, a shared memory. Science has journals, law has case law, software has git; AI-native knowledge work has had nothing. We are building it.\r\n\r\nFounded by two Yale CS grads and former Amazon engineers, now a team of three in San Francisco. Backed by BoxGroup, Pioneer Fund, Y Combinator, Precursor, and more.\r\n\r\nhttps://nessielabs.com",
    "one_liner": "The shared context layer for recursive companies - your work, your…",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1762383705,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Fall 2025",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/nessie",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/nessie.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/nessie-labs",
    "x_url": "https://x.com/NessieLabs",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/400e4be5acfaa12735760bedcf4f0ad136f82137.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Garry Tan",
      "url": "https://www.ycombinator.com/people/garry-tan"
    },
    "founders": [
      {
        "user_id": 2910312,
        "full_name": "Anna Zhang",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder & CEO @ Nessie. Yale BS ‘24. Prev engineer @ Amazon's recommendation service. Shipped ML-powered features for billions of customers and led experiment that demonstrated a $200MM/year revenue impact. Obsessed with augmenting human cognition since high school, having conducted neuroscience research at The Rockefeller University. Founded Nessie with Tiger to build AI brains after hitting the 1-million-token limit in multiple Gemini chats.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/anna-zhang-y/",
        "x_url": "https://x.com/anna_y_zhang",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6cbef9d4ec219c2791ba3e220d73050b20878456.jpg"
      },
      {
        "user_id": 2910289,
        "full_name": "Tiger Wang",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder & CTO @ Nessie. Yale BS ’24. Previously at Amazon, engineered planetary-scale authentication systems handling 40 billion requests/day. Promoted in a Tier-0 org in record time. Shipped an Android app with 70k+ users at age 13 and researched Linux kernel security at Yale. Expert in reverse-engineering complex systems.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/tiger-wang-6a9b06189/",
        "x_url": "https://x.com/tigerjwang",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d70354fffd2186b4b828b8809f6d75339ef80161.jpg"
      }
    ],
    "jobs": [
      {
        "id": 94429,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/nessie/jobs/3HYCa6v-founding-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$100K - $150K",
        "equity_range": "0.50% - 1.00%",
        "experience": "1+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 97490,
        "title": "Founding Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/nessie/jobs/rfwlLxQ-founding-forward-deployed-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$100K - $150K",
        "equity_range": "0.50% - 1.00%",
        "experience": "1+ years",
        "visa": "Will sponsor",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 95270,
        "title": "Nessie: Perplexity for Your Mind",
        "tagline": "Turn your AI chats into searchable memory",
        "body": "![uploaded image](/media/?type=post&id=95270&key=user_uploads/854295/e88fb9f4-8055-4721-94d1-6959e0d83509)\n\nHey everyone! We're [Anna](https://www.linkedin.com/in/anna-zhang-y/) and [Tiger](https://www.linkedin.com/in/tiger-wang-6a9b06189/) – co-founders of [Nessie](https://www.ycombinator.com/companies/nessie).\n\n**TLDR**: Nessie turns your scattered AI conversations into a personal knowledge base where you can search, ask questions, and surface new insights.\n\nMany of us now think through AI conversations. Our most creative moments and deepest explorations happen in conversations with AI. Nessie is Perplexity for your mind, giving every AI conversation a permanent memory.\n\n# **The Problem**\n\nYour best ideas are scattered.\n\nBrilliant insights are buried in endless AI chat histories, impossible to find or build upon. Trying to connect an idea from last Tuesday’s chat with a note from today is a nightmare of copying, pasting, and losing context.\n\nYour best ideas deserve to compound.\n\n# **The Solution: A Home for Your Ideas**\n\nhttps://www.youtube.com/watch?v=FPSfW_0jFr4\n\nNessie gives your ideas a home—a single, fluid space where your notes and AI conversations live together. It’s a thinking partner that effortlessly captures your insights, building a single, perfect memory of your ideas.\n\nThis lets you:\n\n1. **Build your personal knowledge base, effortlessly**.\n\n   Import your entire ChatGPT history, or capture individual conversations that you don’t want to lose. Nessie automatically distills your conversations into structured notes, organized around topics you care about. Your existing ideas become a structured, searchable knowledge base without you lifting a finger.\n\n   ![uploaded image](/media/?type=post&id=95270&key=user_uploads/2910312/ac6fef3a-848f-45c9-8b46-667661498cfd)\n\n2. **Instantly find any idea**.\n\n   Search across your entire knowledge base and unearth your most brilliant ideas in seconds. Never lose a thought to a messy chat history again.\n3. **Compound your best thinking**.\n\n   Your knowledge base becomes a thinking partner. You can chat with a specific concept, a folder of notes, or your entire knowledge base to connect ideas and create new insights.\n4. **Own your mind**.\n\n   We believe agency over your own thinking is critical, especially in the age of AI. Nessie gives you transparent control over your memory. Your knowledge is built from visible, editable notes that you can shape and delete at will. Everything is stored locally and privately on your device—no one can see it but you.\n\n# **Who This Is For**\n\nNessie is built for AI-native thinkers: the researchers, founders, VCs, and writers who are already using AI as a partner to develop and challenge their ideas. If you live in ChatGPT and feel its limitations every day, we built Nessie for you.\n\n# **Our Vision**\n\nWe are building your personal context layer for the AI age. Our vision is a future where your thinking compounds effortlessly, where no idea is ever lost, and your own knowledge becomes your most powerful tool.\n\n# **About Us**\n\nWe built Nessie for ourselves.\n\nWe met at Yale and bonded over our shared obsession with using AI to push the limits of our own thinking. We quickly hit a wall. Anna had several Gemini chats that crossed the 1M token context window—a massive limit for any major model today. The brilliant insights from those conversations are now effectively lost.\n\nWe felt constrained by tools that weren't built for the way we think, so we built the solution we needed.\n\nWe use Nessie every single day.\n\n# **Our Ask**\n\n1. **Try Nessie and build your AI second brain.** We are obsessed with feedback from fellow AI power users and would be honored to hear your honest thoughts.\n2. **Follow our journey.** We'll be sharing updates, behind-the-scenes, and our learnings as we build in public.\n   * [**X/Twitter**](https://x.com/NessieLabs)\n   * [**LinkedIn**](https://www.linkedin.com/company/nessie-labs)\n   * [**Discord**](https://discord.gg/6DkXCpVu6K)\n3. **Share with a friend.** If you know another founder, researcher, or writer who lives in their AI chats and is constantly losing great ideas, we'd love for you to share Nessie with them.\n\n**Download the Nessie Mac app at[ https://nessielabs.com/](https://nessielabs.com/)**\n\n**Contact us at [founders@nessielabs.com](https://mailto:founders@nessielabs.com)**\n\n![uploaded image](/media/?type=post&id=95270&key=user_uploads/2910312/06468cb4-10b3-444a-a3d6-9814a38ca81b)\n\n",
        "url": "https://www.ycombinator.com/launches/Omc-nessie-perplexity-for-your-mind",
        "votes": 34,
        "created_at": "2025-11-06T19:16:54.910Z"
      }
    ]
  },
  {
    "id": 30881,
    "name": "Wardstone",
    "slug": "wardstone",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/12a498451818daa71ba01c88400ac7f241e33a03.png",
    "website": "https://www.wardstone.us",
    "all_locations": "Los Angeles, CA, USA",
    "long_description": "Wardstone builds a low-cost, modular interceptor platform for air and missile defense. Our platform enables the warfighter to right sizes their interceptors against the threat. This allows us to defeat air-breathing and ballistic missile threats at a fraction of the cost of exquisite interceptors, adding affordable magazine depth to existing air defense systems.",
    "one_liner": "The Modular Interceptor Platform",
    "team_size": 8,
    "industry": "Industrials",
    "subindustry": "Industrials -> Aviation and Space",
    "launched_at": 1758642388,
    "tags": [
      "Hard Tech",
      "Satellites",
      "Rocketry",
      "Aerospace",
      "Defense"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Fall 2025",
    "status": "Active",
    "industries": [
      "Industrials",
      "Aviation and Space"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/wardstone",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/wardstone.json",
    "year_founded": 2025,
    "city": "Los Angeles",
    "country": "US",
    "linkedin_url": "https://linkedin.com/company/wardstone",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/12a498451818daa71ba01c88400ac7f241e33a03.png",
    "app_video_url": null,
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    "company_photos": [
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    ],
    "primary_partner": {
      "name": "Garry Tan",
      "url": "https://www.ycombinator.com/people/garry-tan"
    },
    "founders": [
      {
        "user_id": 2077453,
        "full_name": "Sebastian Fischer",
        "title": "Founder/CEO",
        "founder_bio": "I am the cofounder & CEO of Wardstone, a missile defense company building modular interceptors to defend the U.S. and its allies from air-breathing and ballistic missiles. I have 11+ years of engineering and product experience in satellites, drones, and self-driving cars. I held leadership roles at Amazon Prime Air and Cruise Self-Driving and previously worked at Lockheed Martin and NASA on Planetary Spacecraft. I studied Aerospace Engineering at MIT and did a dual MS/MBA degree at Harvard. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/sebastian-fischer-71ba9658/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a975f42da11779da4b51eab7d8fee48c2476250c.jpg"
      },
      {
        "user_id": 736136,
        "full_name": "Tobias Fischer",
        "title": "Founder/CTO",
        "founder_bio": "I am the cofounder of Wardstone, where I lead the technical development of next-generation defense spacecraft. Previously I worked at Astranis, building, launching, and operating geostationary communication satellites. I hold a bachelor's in mechanical engineering from Cornell University. At Cornell, I was the Chief Spacecraft Engineer for a lunar CubeSat mission that demonstrated novel electric propulsion and navigation systems.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/tobifischer",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2169bbf45e34664f0faded58ac46a6922eee79ba.jpg"
      }
    ],
    "jobs": [
      {
        "id": 117400,
        "title": "Mechanical Engineer",
        "url": "https://www.ycombinator.com/companies/wardstone/jobs/CFCKb8f-mechanical-engineer",
        "location": "El Segundo, United States",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 117401,
        "title": "Senior Propulsion Engineer - Solid Rocket Motors",
        "url": "https://www.ycombinator.com/companies/wardstone/jobs/fsF9kpQ-senior-propulsion-engineer-solid-rocket-motors",
        "location": "El Segundo, United States",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 117402,
        "title": "Lead Guidance, Navigation, and Controls Engineer",
        "url": "https://www.ycombinator.com/companies/wardstone/jobs/Rx9NXGQ-lead-guidance-navigation-and-controls-engineer",
        "location": "El Segundo, United States",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 117404,
        "title": "Engineering Intern",
        "url": "https://www.ycombinator.com/companies/wardstone/jobs/ebmOtW6-engineering-intern",
        "location": "El Segundo, United States",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 117406,
        "title": "Senior RF Engineer",
        "url": "https://www.ycombinator.com/companies/wardstone/jobs/dGSECYn-senior-rf-engineer",
        "location": "El Segundo, United States",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 117407,
        "title": "Lead Mechanical Engineer",
        "url": "https://www.ycombinator.com/companies/wardstone/jobs/VWvGVK4-lead-mechanical-engineer",
        "location": "El Segundo, United States",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 117408,
        "title": "Senior Mechanical Engineer",
        "url": "https://www.ycombinator.com/companies/wardstone/jobs/jr5qBxR-senior-mechanical-engineer",
        "location": "El Segundo, United States",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 117409,
        "title": "Senior Aerodynamics Engineer",
        "url": "https://www.ycombinator.com/companies/wardstone/jobs/ucT0UPc-senior-aerodynamics-engineer",
        "location": "El Segundo, United States",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 117410,
        "title": "Propulsion Engineer",
        "url": "https://www.ycombinator.com/companies/wardstone/jobs/0GHovwc-propulsion-engineer",
        "location": "El Segundo, United States",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 117411,
        "title": "Technical Program Manager",
        "url": "https://www.ycombinator.com/companies/wardstone/jobs/kOxrx3O-technical-program-manager",
        "location": "El Segundo, United States",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 117412,
        "title": "Avionics Technician",
        "url": "https://www.ycombinator.com/companies/wardstone/jobs/2Cri5XL-avionics-technician",
        "location": "El Segundo, United States",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 117413,
        "title": "Mechanical Technician",
        "url": "https://www.ycombinator.com/companies/wardstone/jobs/QdOCjsL-mechanical-technician",
        "location": "El Segundo, United States",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 117414,
        "title": "Operations and Logistics Associate",
        "url": "https://www.ycombinator.com/companies/wardstone/jobs/oD6arcZ-operations-and-logistics-associate",
        "location": "El Segundo, United States",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 117415,
        "title": "Supply Chain Manager",
        "url": "https://www.ycombinator.com/companies/wardstone/jobs/adts588-supply-chain-manager",
        "location": "El Segundo, United States",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 117416,
        "title": "Head of Manufacturing",
        "url": "https://www.ycombinator.com/companies/wardstone/jobs/nWEQ2kq-head-of-manufacturing",
        "location": "El Segundo, United States",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 117456,
        "title": "MBA Intern - Missile Defense",
        "url": "https://www.ycombinator.com/companies/wardstone/jobs/oD9vGAc-mba-intern-missile-defense",
        "location": "El Segundo, United States",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 117457,
        "title": "Avionics Engineer",
        "url": "https://www.ycombinator.com/companies/wardstone/jobs/vJZ96sk-avionics-engineer",
        "location": "El Segundo, United States",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 95440,
        "title": "Wardstone: Satellites for Missile Defense",
        "tagline": "Introducing New Space Defense Capabilities for America's Golden Dome",
        "body": "# **Introduction**\n\nHi YC,\\\n\\\nWe are [Tobias ](https://www.linkedin.com/in/tobifischer/)and [Sebastian](https://www.linkedin.com/in/sebafischer/). Cofounders (and brothers!) of [Wardstone](https://www.wardstone.space/).\\\n\\\n**TL;DR:** Wardstone builds satellites for missile defense. We are pursuing an emerging \\~$40B/year space defense market as part of America’s Golden Dome initiative. Tobias studied Mechanical Engineering at Cornell and worked at Astranis. Sebastian studied Aerospace Engineering at MIT and worked at NASA, Lockheed Martin, Amazon, and Cruise. We built and demoed a live ground-based missile intercept during YC.\n\n# **Launch Video**\n\nCheckout the automated missile defense system we built during YC:\n\nhttps://youtu.be/jXABTM9GZ6s\n\n# **About Wardstone**\n\nWardstone builds space-based interceptors: satellites with interceptors designed to kinetically destroy missiles. New space threats, specifically hypersonic missiles, are emerging as existential threats to the United States. Our current missile defense systems were not designed for this new offensive technology. The United States’ Congress has allocated \\~$25B towards developing new on-orbit hypersonic missile defensive missile capabilities over the next 3 years. Follow on build out of this on-orbit defensive layer coined the _Golden Dome_ has been estimated by congress to cost up to $831B over the next 20 years.\\\n\\\nAt Wardstone, we believe that we can build defensive missile capabilities for a fraction of the cost of the offensive hypersonic weapons themselves, and orders of magnitude cheaper than the defensive concepts being proposed/explored by the major defense primes. We will do this with our first product, Hailstorm, that deploys high speed clouds of buckshot to kinetically destroy hypersonic missiles.\n\nOur integrated interceptor-satellite constellation provides global intercept capabilities from space for various missile types beyond hypersonics. \\\n\\\nThe success of Wardstone and the full deployment of the Golden Dome will place the United States in an incredibly strong geopolitical position.\n\nThe full Wardstone constellation with the space based intercept capability in action will look like this:\n\n![uploaded image](/media/?type=post&id=95440&key=user_uploads/2077453/f2a877a7-c23c-438d-8714-5a854930bba2)\n\n# **Our Progress During YC**\n\nDuring YC we had 2 main objectives: 1) build our first missile intercept demo and 2) establish relationships with our main customer: the US Space Force.\\\n\\\n**The Intercept Demo**\\\nWe built a fully automated missile tracking and intercept system that uses infrared computer vision for predicting the future missile position and a high pressure air cannon to deploy an interceptor to destroy a 150+ mph missile. Our system provided repeatable behavior, could adapt to different missile speeds, and destroyed a total of 3 missiles. Checkout he video above for the entire story and insights into our system. Highlights below:\n\n![uploaded image](/media/?type=post&id=95440&key=user_uploads/2077453/c1d9b5df-8297-4a8a-aec8-a8529cb805e8)\n\n![uploaded image](/media/?type=post&id=95440&key=user_uploads/2077453/4ea3e37d-2172-4627-bd54-67a1f2374fe3)\n\n**Space Force and Other Department of War Relationships**\\\nWe built relationships and engaged with multiple agencies inside the military including: Air Force Research Labs, AFWERX, Space Systems Command Commercialization Office, Space Safari, and the Navy’s Joint Special Operations Command. We are receiving letters of support for an Air Force $3MM Space Based Interceptor SBIR grant and are receiving inbound requests for additional use cases of our technology (Ground to Air, Space to Ground).\\\n\\\nWe have also engaged with five satellite bus and sounding rocket providers to integrate our Space Based Interceptors for our Series A demo milestone.\\\n\\\nIf Space Defense Technology resonates with you, please reach out: [founders@wardstone.space](mailto:founders@wardstone.space).\n\n![uploaded image](/media/?type=post&id=95440&key=user_uploads/2077453/129abf15-7925-4374-9279-d48e58da1fa2)\n\n---",
        "url": "https://www.ycombinator.com/launches/OpM-wardstone-satellites-for-missile-defense",
        "votes": 25,
        "created_at": "2025-11-12T06:56:19.257Z"
      }
    ]
  },
  {
    "id": 30884,
    "name": "Flick",
    "slug": "flick",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9f96ddb243962497e60383676b01ce3b0cd4cb76.png",
    "website": "https://flick.art",
    "all_locations": "Santa Barbara, CA, USA",
    "long_description": "Flick is an AI filmmaking software that lets people create Hollywood-level short films completely using AI end-to-end.\r\n\r\nThere are many AI tools that can give you 8-second casual clips to post on social media, but when it comes to creating truly high-quality films with coherent storylines, consistent characters, and cinematic aesthetics, they don’t come close due to their lack of flexibility, creative control, and fragmented creative flow.\r\n\r\nFounded by an award-winning filmmaker and a founding engineer at Instagram, Flick defines an interface specifically designed for native AI filmmaking that feels natural and enables end-to-end creative flows. Think of Flick as Figma for AI filmmaking.\r\n\r\nThere are 4 complete AI short films created using Flick that got 20+ awards in international film festivals already and our early creator residency community are generating several AI short films every week.\r\n\r\nWe are also building a community where we produce our own AI films as well as collaborating with other well-known filmmakers to share their “behind-the-scenes” workflows as resuable templates to inspire users in our community. We not only build product, we also build world-class content.\r\n\r\nThe whole film industry will be revolutionized by AI and our goal is to be “the product” that defines this category.",
    "one_liner": "We Handle AI. You Direct Films.",
    "team_size": 2,
    "industry": "Consumer",
    "subindustry": "Consumer -> Content",
    "launched_at": 1759897034,
    "tags": [
      "Creator Economy",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Fall 2025",
    "status": "Active",
    "industries": [
      "Consumer",
      "Content"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/flick",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/flick.json",
    "year_founded": 2025,
    "city": "Santa Barbara",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/flickart/",
    "x_url": "https://x.com/flickartHQ",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/9f96ddb243962497e60383676b01ce3b0cd4cb76.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Garry Tan",
      "url": "https://www.ycombinator.com/people/garry-tan"
    },
    "founders": [
      {
        "user_id": 2963240,
        "full_name": "Ray Wang",
        "title": "Founder/CEO",
        "founder_bio": "Founding engineer on Instagram AI team — built first version of Instagram Stories and helped it to grow 0 → 400M DAU in 2 years as one of the main contributors.\n\nHave built multiple profitable AI products in the past venture.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ruiwang3/",
        "x_url": "https://x.com/RuiCromwell",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/903e8775afaa07e424d80d48dd9099c9a0cf65fa.jpg"
      },
      {
        "user_id": 2980671,
        "full_name": "Zoey Zhang",
        "title": "Founder",
        "founder_bio": "Award-winning filmmaker and product designer. Created AI films in 2025, nominated by over 30 film festivals, including Best Visual Award at MIT AI Film Hackathon and Winner at OMNI AI Film Festival. Her AI filmmaking paper was published at SIGGRAPH 2025.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/z0ey",
        "x_url": "https://x.com/ZoeyZ1004",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f2f21f5eb81d3bf9a4fc71d0bbc2078ac7b7b887.jpg"
      }
    ],
    "jobs": [
      {
        "id": 86525,
        "title": "Senior/Staff Frontend Engineer",
        "url": "https://www.ycombinator.com/companies/flick/jobs/Tdu6FH6-senior-staff-frontend-engineer",
        "location": "Sunnyvale, CA, US / Remote",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Frontend",
        "salary_range": "$100K - $200K",
        "equity_range": "0.10% - 1.00%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": [
          "React",
          "TypeScript"
        ]
      },
      {
        "id": 94208,
        "title": "Senior Full-stack Engineer",
        "url": "https://www.ycombinator.com/companies/flick/jobs/mqWOs5b-senior-full-stack-engineer",
        "location": "Sunnyvale, CA, US / Remote",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$100K - $200K",
        "equity_range": "0.10% - 1.00%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 108124,
        "title": "Growth Engineer Intern",
        "url": "https://www.ycombinator.com/companies/flick/jobs/2fRbygf-growth-engineer-intern",
        "location": "Remote (US)",
        "type": "Internship",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$6K - $7K / monthly",
        "equity_range": "",
        "experience": null,
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 111492,
        "title": "AI Filmmaking YouTuber & Educator (Youtube)",
        "url": "https://www.ycombinator.com/companies/flick/jobs/d28zGrK-ai-filmmaking-youtuber-educator-youtube",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$70K - $120K",
        "equity_range": "0.25% - 0.50%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 111594,
        "title": "AI Creative Intern",
        "url": "https://www.ycombinator.com/companies/flick/jobs/FdCwdvp-ai-creative-intern",
        "location": "Remote (US)",
        "type": "Internship",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$20 - $40 / hourly",
        "equity_range": "",
        "experience": null,
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 113412,
        "title": "Product Operations Intern",
        "url": "https://www.ycombinator.com/companies/flick/jobs/v0dDRhE-product-operations-intern",
        "location": "Remote (US)",
        "type": "Internship",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$20 - $30 / hourly",
        "equity_range": "",
        "experience": null,
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 114423,
        "title": "GTM Intern (Creator & Community)",
        "url": "https://www.ycombinator.com/companies/flick/jobs/vifaulM-gtm-intern-creator-community",
        "location": "Remote (US)",
        "type": "Internship",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$20 - $40 / hourly",
        "equity_range": "",
        "experience": null,
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 117133,
        "title": "Motion & Graphic Design Intern",
        "url": "https://www.ycombinator.com/companies/flick/jobs/Dfvekvd-motion-graphic-design-intern",
        "location": "Remote (US)",
        "type": "Internship",
        "role": "Design",
        "role_type": "Brand/graphic design",
        "salary_range": "$20 - $30 / hourly",
        "equity_range": "",
        "experience": null,
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "AI Filmmaking Startup Flick Lands $6M Seed Funding: Pitch Deck - Business Insider",
        "url": "https://www.businessinsider.com/ai-filmmaking-startup-flick-lands-yc-seed-funding-pitch-deck-2026-5",
        "date": "Jun 15, 2026"
      },
      {
        "title": "Flick Raises $6M to Build the Filmmaking Platform for the AI Era - The Silicon Valley Post",
        "url": "https://svpost.com/articles/flick-6m-seed/",
        "date": "May 14, 2026"
      }
    ],
    "launches": [
      {
        "id": 104559,
        "title": "Flick TV: The Future Home of Original AI Films",
        "tagline": "Original AI films and series, created with Flick and premiered on Flick TV.",
        "body": "**Tl;dr:** We’re launching Flick TV today — a home for original AI films and series, created with Flick.\n\nWatch First Flick Original Series Trailer:\\\n<https://youtu.be/P1XZDOhrVzo>\n\nThink of it as a new kind of studio + distribution platform for AI-native storytelling: filmmakers use Flick to create cinematic films from idea to final cut, and Flick TV becomes the place where audiences can watch original AI films, series, and creator-led experiments.\n\nOur belief is that AI filmmaking needs more than generation tools. It needs original IP, recurring series, creative direction, production workflows, and a place for audiences to discover the best work.\n\nFlick is building both sides:\n\n\\- AI filmmaking platform for creators: go from idea → script → storyboard → shots → edit → finished film in one workspace, with more creative control across characters, styles, scenes, and production workflows.\n\n\\- Flick TV, the home for original AI films and series\n\nTry it now: [flick.art](http://flick.art)\n\n![uploaded image](/media/?type=post&id=104559&key=user_uploads/2980671/54220433-4453-4294-b014-440b4c91378c)\n\n",
        "url": "https://www.ycombinator.com/launches/RCR-flick-tv-the-future-home-of-original-ai-films",
        "votes": 14,
        "created_at": "2026-07-02T17:04:26.501Z"
      },
      {
        "id": 95208,
        "title": "Flick = Figma + Cursor for AI Filmmaking 🎬",
        "tagline": "AI Filmmaking tool for anyone who cares about aesthetics, control, and flexibility",
        "body": "👉 **Other AI tools generate clips** — **Flick lets you direct Films**\n\n👇 **All launch video content made with Flick** by ourselves | 🔊+🎧 recommended\n\nhttps://youtu.be/daVI0yscN94?si=iEhip6dPkn8E4rwu\n\n👉 Make your first film: [flick.art](https://flick.art/?invite_code=YCLAUNCH) with code: YCLAUNCH\n\n### **Problem**\n\nMany AI tools can give you 8-second casual clips to post on social media, but when it comes to making high-quality films, they don’t come close due to their lack of flexibility, creative control, and fragmented creative flow.\n\nCreators think very differently from consumers. Creators think in a non-linear way — moving back and forth freely to iterate, making decisions at every step. To direct a film, creators need not just visual and character consistency, but also character movement, shot angles, camera language, and emotional arc.\n\n### **Solution**\n\nFlick puts creative power back in the hands of filmmakers:\n\n1. **Infinite Canvas + Chat**\n\n   An infinite canvas where users upload or generate text, images, and video as connected nodes. We integrate multiple models, but instead of prompt-to-video, we let filmmakers think in terms of scripts, characters, and scenes and give them a natural “chat to create on canvas” experience.\n\n   ![uploaded image](/media/?type=post&id=95208&key=user_uploads/2980671/b8812b5c-bb57-4071-9c06-8fe98632f7d0)\n\n2. **Editing while creating**\n\n   Creators like to go back and forth when making shots, so we built editing tools directly into the canvas. So, they can define exactly what kind of shot they want to add or delete to ensure a stronger narrative.\n\n   ![uploaded image](/media/?type=post&id=95208&key=user_uploads/2980671/03442527-7251-4885-9368-05ebffdb3191)\n\n3. **Studio + Perplexity for film scenes**\n\n   No one creates from nothing, we’ve needed inspiration since the beginning of humanity. That’s why we’re building [Studio](https://flick.art/studio/experiments-too-boring?from=home), where we produce our own [AI films](https://flick.art/studio/short-films-a-letter-in-early-fall?from=home) and collaborate with leading filmmakers to share their behind-the-scenes workflows as reusable canvases and templates for our community members.\n\n   ![uploaded image](/media/?type=post&id=95208&key=user_uploads/2980671/9c2e48c5-fdcc-4228-9782-250c0b8325d6)\n\n   And integrated Perplexity for film search, allowing users to find classic film shots as references.\n\n   ![uploaded image](/media/?type=post&id=95208&key=user_uploads/2980671/508c6b70-0b8d-4c27-8f40-74481ffde11f)\n\n\n### **Connect Hollywood？**\n\n[**John Rosenberg**](https://www.imdb.com/name/nm0742239/) is a Hollywood filmmaker, producer, and production executive with over 30 years experience. He has worked at studios including 20th Century Fox, Orion, and New Line. His films have premiered at Sundance.\n\nJohn also is a professor at [USC’s School of Cinematic Arts](https://cinema.usc.edu/directories/profile.cfm?id=33682) and a member of ACE (American Cinema Editors). His editing books, published by Routledge / Focal Press, are widely used by film students around the world.\n\nJohn joins Flick as our advisor to connect Hollywood filmmaking craft with the next generation of AI storytellers.\n\n### **Now**\n\n👉 Make your first film: [flick.art](https://flick.art/?invite_code=YCLAUNCH) with code: YCLAUNCH\n\n[LinkedIn](https://www.linkedin.com/company/flickart) | [X](https://x.com/flickart_ai) | [Discord](https://discord.gg/SPYgXej78k) | [Instagram](https://instagram.com/flickart_ai) | [TikTok](https://tiktok.com/@flick_art)\n\n### **About Us**\n\n[**Ray**](https://www.linkedin.com/in/ruiwang3/) was a founding engineer at Instagram AI team, who helped build the first version of Instagram Stories, launched it and helped grow it from 0 to 400M DAU in 2018. As main contributor, wrote almost all the backend code in the first year. Have built multiple profitable AI products in the past venture.\n\n[**Zoey**](https://www.linkedin.com/in/z0ey/) has been a filmmaker since 2013, graduated from Brown and RISD. She is an award-winning filmmaker and product designer. Previously her creations include commercials for Mercedes-Benz, viral short films with millions of views, an award-winning documentary, and collaborations with leading film talents such as cinematographer Thierry Arbogast (_Léon_). Her AI filmmaking research was published at [SIGGRAPH 2025](https://dl.acm.org/doi/10.1145/3721250.3742968).\n\nFlick was emerged from the creation of Zoey’s first AI film that got best visual award at [MIT film festival](https://mitaifilmhack.com/winners/). Since then, there are 4 complete AI short films created using Flick that got 20+ awards at international film festivals and our early creator residency are generating several AI short films every week.\n\n---\n\n### **Mission**\n\nThe next generation of creators won’t think about “prompting models” at all, they’ll just direct, compose, and feel, and the tools will disappear into their creative flow. That’s the future we’re building toward. And that’s why we exist.\n\n### **Ask**\n\nIf you know film studios or creators interested in AI filmmaking, reach out to us: [founders@flick.art](mailto:founders@flick.art) ✌️🍊\n\n![uploaded image](/media/?type=post&id=95208&key=user_uploads/2980671/97d97c4c-82b0-4de1-8bb5-e3a579aa677c)\n\n",
        "url": "https://www.ycombinator.com/launches/Olc-flick-figma-cursor-for-ai-filmmaking",
        "votes": 94,
        "created_at": "2025-11-05T18:07:12.705Z"
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        "full_name": "Ayush Garg",
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        "founder_bio": "I’m Ryan McCarroll, CMO and co-founder of AnswerThis. I grew up in Northern Ireland and have built and scaled multiple ventures until joining AnswerThis. \n\nSpeed up humanity's progress and research with stellar speed and accuracy with AnswerThis! ",
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        "id": 87988,
        "title": "AI agent orchestration ",
        "url": "https://www.ycombinator.com/companies/answerthis/jobs/r5VHmSC-ai-agent-orchestration",
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        "experience": "3+ years",
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        "title": "Founding Engineering Lead",
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        "id": 100954,
        "title": "Product Engineer (Full-Time, Remote — India)",
        "url": "https://www.ycombinator.com/companies/answerthis/jobs/GQBe22o-product-engineer-full-time-remote-india",
        "location": "IN / Remote (IN)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "₹2M - ₹3.5M INR",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizenship/visa not required",
        "skills": [
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          "Python",
          "React",
          "Docker",
          "Next.js",
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      },
      {
        "id": 101093,
        "title": "Founding BDR (In-Person, San Francisco)",
        "url": "https://www.ycombinator.com/companies/answerthis/jobs/sDqFkif-founding-bdr-in-person-san-francisco",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$120K - $150K",
        "equity_range": "0.20% - 0.50%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 107793,
        "title": "Growth Lead | Paid Acquisition + SEO/AEO",
        "url": "https://www.ycombinator.com/companies/answerthis/jobs/ZQJF8tU-growth-lead-paid-acquisition-seo-aeo",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$150K",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
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      {
        "id": 95086,
        "title": "AnswerThis: The AI Research Assistant",
        "tagline": "Scientific discovery platform that reduces months of manual research work to hours.",
        "body": "Hello YC! We’re [**Ayush Garg**](https://linkedin.com/in/ayush4921) and [**Ryan Mccarroll**](https://www.linkedin.com/in/ryan-mccarroll-/) from [**AnswerThis**](https://answerthis.io/)**.**\n\n**TL;DR**\n\nAnswerThis analyzes all the relevant research in your field to answer complex scientific questions with line-by-line citations. Over 250,000 researchers have saved months on their literature reviews using AnswerThis, making it one of the fastest-growing apps in the research space.\n\nhttps://www.youtube.com/watch?v=nKTS2QWnjqw\n\n**Problem**\n\nOver 5 million research papers are published every year. Researchers spend months crawling through academic databases to conduct their literature reviews. By the time they finish, new literature has often been published.\n\nWhen they finally have their literature collected, they must read dense papers while taking detailed notes. If they want to explore a new aspect of the topic, they have to repeat the process, making it difficult to advance science quickly.\n\nOnce they have their notes, synthesizing the findings into a detailed literature review requires precision, highly accurate citations, and concise but informative scientific writing. \n\nThis entire process is extremely time consuming, and takes away from actual experimentation. \n\n**Solution**\n\nEnter your question, select your filters, and AnswerThis searches multiple academic databases to answer it with exact citations to every relevant paper. The literature review that took months, now takes minutes.\n\nYou can save the sources, analyze them, and write with our AI assistant on a single platform while collaborating with your team. \n\nWe also integrate with tools researchers already use, like Zotero and Mendeley, and we offer advanced exports that correctly carry over citations and equations.\\\n\\\n**The user is able to verify each source, and save it to their AnswerThis library:**\n\n![uploaded image](/media/?type=post&id=95086&key=user_uploads/1865432/9de71f23-808b-4153-9713-43054d59498e)\n\n**Our story**\n\nAyush, the son of two PhD scholars, began publishing peer-reviewed articles at 16, with early work in natural language processing focused on parsing scientific literature.\n\nRyan, who leads product and growth, started selling products at 17 and scaled multiple Instagram accounts to hundreds of thousands of followers.\n\nTogether, they bring a blend of research depth and growth expertise, united by a passion for accelerating scientific discovery.\n\n**In the last two months, AnswerThis has answered over 250,000 scientific queries!**\n\n![uploaded image](/media/?type=post&id=95086&key=user_uploads/1865432/7e97a799-80db-4dd8-a75b-3d852253cca8)\n\n![uploaded image](/media/?type=post&id=95086&key=user_uploads/1865432/bea80570-595b-493b-9b97-f52d94354908)\n\n![uploaded image](/media/?type=post&id=95086&key=user_uploads/1865432/f34289f2-c190-41a3-8927-a953f191f332)\n\n**Our ask**\n\nIf you’re a researcher or just want to try the product, please visit [**AnswerThis.io**](http://AnswerThis.io). We’d value your feedback.\n\nWe’d also welcome introductions to:\n\n* Post-clinical-trial researchers conducting literature screening\n* Directors at academic labs\n* Medical Directors\n\n**Contact:**\n\nAyush Garg: [Ayush@AnswerThis.io](mailto:Ayush@AnswerThis.io)\n\nRyan Mccarroll: [Ryan@AnswerThis.io](mailto:Ryan@AnswerThis.io)\n\n![uploaded image](/media/?type=post&id=95086&key=user_uploads/1865432/1bb9e966-3ed9-4ae2-b4f2-0e0555e8fb5d)\n\n",
        "url": "https://www.ycombinator.com/launches/Oje-answerthis-the-ai-research-assistant",
        "votes": 26,
        "created_at": "2025-11-01T05:12:59.911Z"
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    "id": 30891,
    "name": "SF Tensor",
    "slug": "sf-tensor",
    "former_names": [
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    "website": "https://sf-tensor.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "AI researchers should be pushing the boundaries of what's possible with new architectures and training methods. Instead, they waste weeks configuring cloud infrastructure, debugging distributed systems, and optimizing their GPU code. We know because we lived it: While training our own models across thousands of GPUs earlier this year, we spent more time fighting our infrastructure than doing actual research.\r\n\r\nThat's why we're building two things. First, Elastic Cloud: a managed platform that automatically finds the cheapest GPUs across all providers, handles spot instance preemption, and cuts compute costs by up to 80%. Second, automatic kernel optimization that makes training code run faster by modeling hardware topology, often beating hand-tuned implementations.\r\n\r\nThe problem is that getting high performance across different hardware is genuinely hard. NVIDIA's CUDA moat exists because writing fast kernels requires deep expertise. Most teams either accept vendor lock-in or hire expensive kernel engineers. Our goal is to break the CUDA moat.\r\n\r\nThe compute bottleneck is the biggest constraint on AI progress. NVIDIA can't manufacture enough GPUs, and their monopoly keeps prices astronomical. Meanwhile, AMD, Google, and Amazon are shipping capable alternative hardware that nobody uses because the software is too hard. We're breaking that moat. If we succeed, anyone will be able to train state-of-the-art models without thinking past their PyTorch code.",
    "one_liner": "Infrastructure for AI labs to focus on research.",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1759869599,
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    "batch": "Fall 2025",
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    "regions": [
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        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "AI labs and startups should focus on breakthrough research—new architectures, training methods, the stuff that ends up in papers. Instead, they burn countless hours configuring cloud infrastructure, debugging distributed training, and negotiating GPU deals. \r\n\r\nWe know because we lived it. While training our own models, we realized we were spending 60% of our time on infrastructure and 40% on actual research. Talking to other teams, we found everyone had this problem. Small labs can't afford dedicated infra teams. Large labs waste research talent on DevOps. \r\n\r\nThis infrastructure tax is holding back AI progress. We decided to eliminate it. "
      },
      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "Today, wanting performance means vendor lock-in to NVIDIA. This creates artificial scarcity: limited production capacity, sky-high prices, and compute monopolies. By making all hardware from AMD GPUs, TPUs, Trainium, whatever comes next, equally usable, we'll unlock massive new supply. \r\n\r\nIn this world, anyone can train state-of-the-art models without ever thinking past their PyTorch code. Startups won't need infrastructure teams. Researchers won't waste time on cloud configuration. CEOs won't negotiate GPU rental deals. \r\n\r\nCompute will be abundant, cheap, and boring. And AI research will accelerate because researchers can finally focus on research. "
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    "url": "https://www.ycombinator.com/companies/sf-tensor",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/sf-tensor.json",
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    "country": "US",
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    "primary_partner": {
      "name": "Harj Taggar",
      "url": "https://www.ycombinator.com/people/harj-taggar"
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    "founders": [
      {
        "user_id": 801244,
        "full_name": "Ben Koska",
        "title": "Founder/CEO",
        "founder_bio": "Optimizing GPU Kernels @ SF Tensor.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/benkoska",
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      {
        "user_id": 2951036,
        "full_name": "Luk Koska",
        "title": "Founder/CTO",
        "founder_bio": "Optimizing AI infrastructure @ SF Tensor (F25).\nFinished BSc in CS @ age 16",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/lukkoska/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b168f5b428a864b72da162887ae641d20539b7bf.jpg"
      },
      {
        "user_id": 2950892,
        "full_name": "Tom Koska",
        "title": "Founder",
        "founder_bio": "Optimizing AI infrastructure @ SF Tensor (F25).\nFinished BSc in CS @ age 16",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/tomkoska/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/316bba78559c885b37648ceb2d2d637aa0bdf655.jpg"
      }
    ],
    "jobs": [
      {
        "id": 107006,
        "title": "Member of Technical Staff, Product Engineering",
        "url": "https://www.ycombinator.com/companies/sf-tensor/jobs/gkuqeM2-member-of-technical-staff-product-engineering",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$225K - $275K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 107007,
        "title": "Member of Technical Staff, Sandbox Infrastructure",
        "url": "https://www.ycombinator.com/companies/sf-tensor/jobs/plO372C-member-of-technical-staff-sandbox-infrastructure",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$275K - $315K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 107008,
        "title": "Member of Technical Staff, Post-Training & Applied Research",
        "url": "https://www.ycombinator.com/companies/sf-tensor/jobs/IgxqFjw-member-of-technical-staff-post-training-applied-research",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$275K - $315K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 107009,
        "title": "Member of Technical Staff, GPU Kernels",
        "url": "https://www.ycombinator.com/companies/sf-tensor/jobs/1zQSFYC-member-of-technical-staff-gpu-kernels",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$285K - $315K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 107010,
        "title": "Member of Technical Staff, GPU Compiler",
        "url": "https://www.ycombinator.com/companies/sf-tensor/jobs/ZJL2GLy-member-of-technical-staff-gpu-compiler",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$285K - $315K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 107011,
        "title": "Member of Technical Staff, AI-Driven Compilation",
        "url": "https://www.ycombinator.com/companies/sf-tensor/jobs/ZvA4OCy-member-of-technical-staff-ai-driven-compilation",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$275K - $315K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 112314,
        "title": "Member of Mathematical Staff",
        "url": "https://www.ycombinator.com/companies/sf-tensor/jobs/abpmgWv-member-of-mathematical-staff",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$225K - $315K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
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    ],
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    "launches": [
      {
        "id": 95098,
        "title": "SF Tensor - Infrastructure for the Era of  Large-Scale AI Training ⚡",
        "tagline": "We tweak kernels to squeeze out extra speed, hunt down the cheapest GPUs across every cloud and make your models train on any hardware. Train frontier models without the DevOps nightmare. ",
        "body": "Hey everyone 👋 \n\nWe’re [Ben](https://www.linkedin.com/in/benkoska/), [Tom](https://www.linkedin.com/in/tomkoska/) and [Luk](https://www.linkedin.com/in/lukkoska/) - co-founders of SF Tensor. \n\n**TL;DR:** We let AI researchers forget about the infrastructure layer and focus on their research. \n\nWe automatically optimize kernels to run faster, find the cheapest GPUs across every provider and migrate your jobs when spot instances fail. Training AI should be about AI, not DevOps. \n\n**_Ask:_** Know anyone training or fine-tuning AI models? We’d be grateful for an intro! Reach out to us at [founders@sf-tensor.com](mailto:founders@sf-tensor.com). \n\n![uploaded image](/media/?type=post&id=95098&key=user_uploads/801244/994bfb29-1b66-4506-86bd-8b3d0197eff4)\n\n## **The Problem**\n\nTraining AI should mean developing smarter architectures and finding better data. But right now, it doesn’t. Teams waste their time on everything but actual research: \n\n* Optimizing code so that training runs don’t drain the bank \n* Fighting cloud providers and scrambling for GPU availability \n* Making distributed training work with reasonable MFU (=cost efficiency).\n\nThis drives up costs, frustrates everyone and kills velocity. Infrastructure has inadvertently turned into the limiting factor for AI research labs, and it’s killing progress.\n\nWe experienced this first-hand developing our own foundation models – what we expected to be AI research, experimentation and iterative improvement turned out to be an ugly mix of writing CUDA, debugging driver mismatches and optimizing inter-GPU collective operations. That’s why we decided to solve the infrastructure layer, to allow other researchers to **focus on research, not infrastructure**.\n\n## **Our Solution**\n\nSF Tensor is the \"set it and forget it\" infrastructure layer for anyone training or fine-tuning AI models. Hook up your repo, pick your GPU count and budget, and we deal with the rest:\n\n* Our automatic kernel optimizer analyzes your architecture and tunes execution for any hardware (NVIDIA, AMD or TPUs). No more having to drop down into custom CUDA because PyTorch doesn’t understand memory topology. \n* We find the cheapest available compute across all clouds for your specific requirements and launch your training run. \n* Automatic Distributed Training allows you to scale from 1 to 10,000 GPUs without having to change your code or killing your MFU \n* Everything else that you shouldn’t have to think about: Spot instance migration? Handled. Monitoring? Baked in. Logs and artifacts? Done.\n\n![uploaded image](/media/?type=post&id=95098&key=user_uploads/801244/89170605-19e4-4029-87dd-7a3fa85cc9df)\n\n## **The Team**\n\n![uploaded image](/media/?type=post&id=95098&key=user_uploads/801244/519e2798-579a-43e1-8c96-28f3be87a392)\n\nWe’re 3 brothers that have been working on Artificial Intelligence together for years, most recently training our own Foundational World Models. SF Tensor was born out of our own needs as AI researchers scaling up training runs to thousands of concurrent GPUs.\n\nBen has been publishing AI research since high school, solo-training models across 4,000 GPUs as co-PI on a 6-figure grant.\n\nTom and Luk (twins btw) have been doing AI research for years, from starting college in parallel to high school at age 14 to finishing their BSc in CS (at age 16).\n\n## **Compute should be boring. Let’s make it boring.**\n\nTry us right now at [sf-tensor.com](http://sf-tensor.com) or contact us at [hello@sf-tensor.com](mailto:hello@sf-tensor.com) to see how we can help with your infra pains.\n\n![uploaded image](/media/?type=post&id=95098&key=user_uploads/801244/3ca5b95d-168d-402c-a899-5a42965ee527)\n\n",
        "url": "https://www.ycombinator.com/launches/Ojq-sf-tensor-infrastructure-for-the-era-of-large-scale-ai-training",
        "votes": 23,
        "created_at": "2025-11-04T18:36:08.802Z"
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    "id": 30894,
    "name": "Unsiloed AI",
    "slug": "unsiloed-ai",
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    "website": "https://www.unsiloed.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "AI teams spend 6+ months building document workflows, yet fewer than 10% ever reach production. Generic LLM parsers and OCR collapse on multimodal documents with text, tables, images, and charts. Poor parsing and suboptimal chunking cripple RAG pipelines and downstream automation. Unsiloed AI has built state-of-the-art vision models which serves as the infrastructure layer for turning unstructured data into structured, queryable, and LLM-ready assets.\r\n\r\nOur APIs are already parsing hundreds of thousands of documents for startups and NASDAQ-listed enterprises, powering vertical AI solutions across industries. On public benchmarks, Unsiloed AI consistently outperforms solutions from LlamaIndex, Gemini, Mistral, and Unstructured.io among others.",
    "one_liner": "API for parsing multimodal unstructured data",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1759119503,
    "tags": [
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      "APIs"
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    "nonprofit": false,
    "batch": "Fall 2025",
    "status": "Active",
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      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/unsiloed-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/unsiloed-ai.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/unsiloed-ai",
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    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
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    "founders": [
      {
        "user_id": 879419,
        "full_name": "Aman Mishra",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder at Unsiloed AI • IIT Kharagpur\n\nPreviously built an ultra low-latency trading system moving billions at a hedge fund. Founding Engineer (#1) at an SF-based startup building AI copilots for firms like Goldman Sachs and Charles Schwab. Launched a P2P rental platform from my dorm room, scaling it to thousands of orders within 2 months of operation.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/aman005/",
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        "full_name": "Adnan Abbas",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder & CTO at Unsiloed AI • MIT • IIT Kharagpur\n\nBuilt multi-modal models deployed at a Fortune 10 company. Was building autonomous navigation systems at Mercedes Benz. Launched India’s first Web 3.0 audio app while in college, scaling it to thousands of users within a month.",
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        "id": 87605,
        "title": "Founding Software Engineer - Backend and Infrastructure",
        "url": "https://www.ycombinator.com/companies/unsiloed-ai/jobs/cmlq27S-founding-software-engineer-backend-and-infrastructure",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
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        "salary_range": "$150K - $300K",
        "equity_range": "0.10% - 1.00%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
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      {
        "id": 87808,
        "title": "Founding ML Researcher",
        "url": "https://www.ycombinator.com/companies/unsiloed-ai/jobs/SJCT4d4-founding-ml-researcher",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$200K - $300K",
        "equity_range": "0.10% - 1.00%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": [
          "Python",
          "Torch/PyTorch",
          "CUDA",
          "Computer Vision",
          "Data Analytics"
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      },
      {
        "id": 95433,
        "title": "Founding GTM Lead",
        "url": "https://www.ycombinator.com/companies/unsiloed-ai/jobs/ePft6Ux-founding-gtm-lead",
        "location": "San Francisco, United States",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$120K - $200K",
        "equity_range": "0.10% - 1.00%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
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    "news": [],
    "launches": [
      {
        "id": 95076,
        "title": "Unsiloed AI: Make Unstructured Data LLM-Ready",
        "tagline": "We build APIs to parse multimodal unstructured data and convert it into LLM-ready formats. Our vision is to make documents as computable and queryable for AI Agents as your data sitting in an RDS.",
        "body": "Hey YC, we are [Aman Mishra](https://www.linkedin.com/in/aman005/) and [Adnan Abbas](https://www.linkedin.com/in/adnan-abbas-903b711a2) from [Unsiloed AI](https://www.unsiloed.ai/).\n\n**TL;DR:** _Unsiloed AI is building the most accurate APIs for ingesting multimodal unstructured data like PDFs, PPT, DOCX, tables, charts, and images, and converting it into structured Markdown and JSON for downstream LLMs and AI Agents._\n\nWe are already processing millions of pages of complex documents each week for Fortune 150 banks, NASDAQ‑listed companies, as well as early‑stage startups in accuracy-sensitive domains like finance, legal, and healthcare.\n\nhttps://youtu.be/ULDK5dgfgzM\n\n**The Problem**\n\nMore than **80% of enterprise data is multimodal and unstructured**. AI teams spend **6+ months** building accurate document‑ingestion pipelines that keep breaking.\n\n* From the tons of open‑source solutions out there, it’s still tough to achieve superior accuracy on even mildly complex cases.\n* Traditional OCRs are static and break with changing layouts.\n* LLMs, although good at comprehension, suffer at **deterministic extraction**, making them unreliable for accuracy‑sensitive domains like finance and healthcare.\n* Early‑stage vertical AI teams end up becoming **document AI companies**, reinventing the wheel, as evident from **300+ conversations** we’ve had with AI teams of all sizes.\n\n**Solution (What we built)**\n\nWe combine **vision models** with **OCR‑based models** to accurately extract information from complex documents.\n\n**1) Pre‑processing & Segmentation**\n\n* We segment data into **texts, tables, images, and plots** using specialized models for each task.\n* We use a **heatmap‑based chunking** technique that first generates **pivot elements** from the document. Pivot elements are the elements of importance, e.g., **numbers and merged cells in tables**.\n* This chunking strategy ensures all related pieces of information are preserved in the **same chunk** (e.g., a table spanning multiple pages, rows split across pages), while unrelated information is split across chunks. The result: retrieval feeds **only accurate, complete‑context chunks** to LLMs.\n\n**2) Dual‑Stream Representation**\n\nPost pre‑processing, we pass the segmented chunks through **two parallel streams**:\n\n* **Data Stream:** preserves the **extracted content**.\n* **Layout Stream:** preserves the **actual layout & hierarchy** (indentation, alignment, clause/sub‑clause structure).\n\nThis matters because the data is not just text and numbers the **structure carries meaning** (e.g., a right‑aligned cell in a financial table or the way clauses/sub‑clauses are arranged). The dual stream captures both **semantic content** and **structural cues**.\n\n**3) Domain‑Specific Decoder**\n\n* A decoder consumes both the streams and structures the outputs as per the required **JSON schema** or **Markdown**.\n* We incorporate **domain‑specific ontologies** (finance, healthcare, legal).\n* An in-built **RL pipeline** to train the decoder when outputs involve internal terminology that is hard to capture using a general LLM.\n* We generate **confidence scores** for each extracted item; **low‑score items** are collected over time to run **fine‑tuning jobs**\n\nWe can run all of this under fully air-gapped on-premise environments as well for privacy-sensitive verticals.\\\n\\\n**Here are some sample outputs generated by our Vision Models:**\n\n![uploaded image](/media/?type=post&id=95076&key=user_uploads/879419/fdfed5e7-994a-47d3-9357-b20b1d2a3b67)\n\nPIE Chart formatted markdown\n\n![uploaded image](/media/?type=post&id=95076&key=user_uploads/879419/7e78481c-6898-4bfe-a6d8-c49ada7cef52)\n\nJSON output from handwritten, scanned docs, along with confidence scoring and citations.\\\n\\\n**Our Progress:**\n\nWe are already processing millions of pages for Fortune 150 banks, NASDAQ‑listed companies, as well as early‑stage startups (including 10+ YC startups) across finance, legal, and healthcare. On public benchmarks, we consistently outperform solutions from LlamaIndex, Gemini, Mistral, and [**Unstructured.io**](http://Unstructured.io)**,** among others.\n\nHere is a representation of the volume of pages we have processed, stacked on top of each other.\n\n![uploaded image](/media/?type=post&id=95076&key=user_uploads/879419/849f06b2-5d8d-4c77-8b73-40f6661a3f92)\n\n**Our Ask:**\n\nParsing **PDFs, images, PPTs,** or **Excel files** for your **Vertical AI** use case or **RAG** pipeline? Give [**Unsiloed AI**](https://www.unsiloed.ai/) a try. We turn months of ingestion work into one API call for every document type.\\\n\\\nSign up on [**unsiloed.ai**](http://unsiloed.ai) to give it a try (no credit card needed)\\\n\\\n**For any queries or feedback**:\\\n\\\nShoot us an email at [**founders@unsiloed.ai**](mailto:founders@unsiloed.ai) \\\nPing on WhatsApp/iMessage at +1 415 996 5878 (Aman)\\\nWebsite: [**https://www.unsiloed.ai/**](https://www.unsiloed.ai/)",
        "url": "https://www.ycombinator.com/launches/OjU-unsiloed-ai-make-unstructured-data-llm-ready",
        "votes": 52,
        "created_at": "2025-10-31T20:18:08.350Z"
      }
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    "id": 30895,
    "name": "Allus AI",
    "slug": "allus-ai",
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    "website": "https://allus.ai",
    "all_locations": "Atlanta, GA, USA",
    "long_description": "Allus builds next-gen vision foundation models that bring real intelligence to manufacturing. Enabling factories to see, understand, and improve production in real time. ",
    "one_liner": "Transforming manufacturing with our next-gen Vision Foundation Model",
    "team_size": 6,
    "industry": "Industrials",
    "subindustry": "Industrials -> Manufacturing and Robotics",
    "launched_at": 1761108820,
    "tags": [
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      "SaaS",
      "Computer Vision",
      "Manufacturing",
      "AI"
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    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Fall 2025",
    "status": "Active",
    "industries": [
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    "regions": [
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      "America / Canada",
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/allus-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/allus-ai.json",
    "year_founded": 2025,
    "city": "Atlanta",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/allus-ai/",
    "x_url": "https://x.com/allus_ai",
    "fb_url": null,
    "cb_url": null,
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e556d72ba8162e6d77731f52ccea802c98b54fa3.png",
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    "primary_partner": {
      "name": "Pete Koomen",
      "url": "https://www.ycombinator.com/people/pete-koomen"
    },
    "founders": [
      {
        "user_id": 1667481,
        "full_name": "Kai Cui",
        "title": "Founder/CEO",
        "founder_bio": "Founder & CEO @ Allus AI. BS + MS in CS from Georgia Tech. Building vision foundation model to transform manufacturing.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/kaixiang-cui",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d012cfddf81fb9af30743cc5270cb84579450398.jpg"
      },
      {
        "user_id": 2667730,
        "full_name": "Zhisen An",
        "title": "Founder/COO",
        "founder_bio": "Co-Founder @ Allus AI Inc. | MS CS @ GaTech",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/zhisenan/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d36b723641b04f1a88fef304237446298bdc8919.jpg"
      },
      {
        "user_id": 2673772,
        "full_name": "Shijie Wang",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder & CTO @ Allus AI | CS @ Georgia Tech",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/shijiew/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/26e530b95b0469b4c70162d6c284bcf3d4df99b7.jpg"
      }
    ],
    "jobs": [
      {
        "id": 92048,
        "title": "Founding AI Agent Engineer",
        "url": "https://www.ycombinator.com/companies/allus-ai/jobs/AcYMVC9-founding-ai-agent-engineer",
        "location": "Cupertino, CA, US / Atlanta, GA, US / Remote (CA, US; GA, US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$100K - $200K",
        "equity_range": "0.30% - 1.00%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": [
          "Amazon Web Services (AWS)",
          "Microsoft Azure",
          "Node.js",
          "Python",
          "React",
          "Redis",
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    "news": [],
    "launches": [
      {
        "id": 95347,
        "title": "Allus AI — Vision Foundation Model for Manufacturing",
        "tagline": "Bringing real intelligence to factories",
        "body": "Hi YC,\n\nThis is [Kai](https://bookface.ycombinator.com/user/1667481), [Shijie](https://bookface.ycombinator.com/user/2673772), and [Jason](https://bookface.ycombinator.com/user/2667730), cofounders of Allus AI.\n\nWe’re building a vision foundation model for manufacturing.\n\n**TL;DR**: Traditional manufacturing vision systems are slow, complex, and expensive. Allus delivers a million-dollar vision solution in minutes.\n\nhttps://www.youtube.com/watch?v=pNV7Ekyzfm0\n\n**A Vision Foundation Model for Manufacturing**\n\nAllus is a 1B parameter vision foundation model trained on over 1.5 billion industrial, robotics, and manufacturing data pairs collected over five years. It achieves state-of-the-art accuracy in defect detection (&gt; 99.95%) and process monitoring (&gt; 99.2%).\n\nAllus understands manufacturing the same way ChatGPT understands language. The dataset we used to train Allus is more than 100x larger than comparable industrial datasets, giving Allus a strong baseline familiarity with the entire factory ecosystem, including machines, people, and processes.\n\nToday 95% of manufacturers still rely on manual inspection to detect defects and monitor process compliance on the factory floor. This work can be automated with computer vision, but these solutions are domain-specific, take months to implement and cost millions of dollars. \n\nWith our implementation agent, Allus can be trained to handle specific use cases in only a few minutes using a small number of reference examples. \n\nIn the last three months, we’ve deployed it on production lines run by five global fortune 500 manufacturers, where we’ve been able to improve defect detection accuracy in some cases by more than 100x.\n\n**Our Team**\n\n![uploaded image](/media/?type=post&id=95347&key=user_uploads/1667481/c1a959c6-45ec-441b-b904-0ef212f17f53)\n\nWe combine cutting-edge AI with challenges that have troubled manufacturing for over a century. Kai, Shijie, and Jason began exploring how AI could empower industry while studying at Georgia Tech. Kai comes from a family deeply rooted in manufacturing and grew up in factories, managing production for IPhone back panel at the age of 18. Shijie previously worked as an LLM scientist at NVIDIA Lab, where he gained firsthand insight into the pain points of manufacturing. Jason has always operated on the front lines of industrial enterprises and developed universal solutions for robotics companies.\n\n**Ask**\n\nWe’re working with manufacturers across the globe, from electronics and automotive to food & beverage, FMCG, and high-performance materials.\n\nIf you want to bring intelligence to your factory, talk to us!\n\n👉 [Allus.ai](http://Allus.ai)\n\n📧 [kai@allus.ai](mailto:kai@allus.ai)\n\n![uploaded image](/media/?type=post&id=95347&key=user_uploads/1667481/802e4649-e04c-4d8f-beec-a357eef0f593)\n\n",
        "url": "https://www.ycombinator.com/launches/Onr-allus-ai-vision-foundation-model-for-manufacturing",
        "votes": 282,
        "created_at": "2025-11-10T07:02:52.620Z"
      }
    ]
  },
  {
    "id": 30914,
    "name": "Sunflower",
    "slug": "sunflower",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ae86a0721b6effe108baf0067f19c1305be5c48b.png",
    "website": "https://sunflowerclinic.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Sunflower is building an AI-native telemedicine clinic for addiction. There are over 18,750 patients on a waitlist for Therapy or Meds, representing $153M worth of TAM just waiting to be served. \r\n\r\nWe started by launching Sunflower Sober, the first AI Sponsor for addiction which grew to 100 MAU in less than 6 months and currently driving about $1.5M in run-rate worth of subscription app revenue.  \r\n\r\nSunflower Sober is currently pacing to add over 800,000 new users a year which means we are growing literally faster than Alcoholics Anonymous. \r\n\r\nWe have built one of the largest and most deeply loved brands within sobriety, and now we are building the clinical services underneath this brand to better fulfill on our mission & serve Medicaid who spends over $30B a year on SUD services. \r\n\r\nSunflower is founded by Koby who previously led Growth at Rupa from $5M to $75M/year. Our team includes clinical leaders (MDs / LPCs) from the Mayo Clinic, Choose Your Horizon, & Charlie Health. ",
    "one_liner": "We are building an AI-native telemedicine clinic for addiction. 🌻",
    "team_size": 15,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Healthcare Services",
    "launched_at": 1757558729,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
    "industries": [
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      "Healthcare Services"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/sunflower",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/sunflower.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/in/kobyconrad/",
    "x_url": "https://x.com/SunflowerSober",
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    "primary_partner": {
      "name": "Garry Tan",
      "url": "https://www.ycombinator.com/people/garry-tan"
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    "founders": [
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        "user_id": 132378,
        "full_name": "Koby Conrad",
        "title": "Founder/CEO",
        "founder_bio": "CEO & Founder @SunflowerSober 🌻 we're on a mission to create one billion days sober, one day at a time. YC S19 alumni, angel investor, growth marketer.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/kobyconrad/",
        "x_url": "https://x.com/kobyjconrad",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/34384404a013436d81dbaf00896dfb14f2ffe0fc.jpg"
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    ],
    "jobs": [
      {
        "id": 116216,
        "title": "AI SEO Lead",
        "url": "https://www.ycombinator.com/companies/sunflower/jobs/EJZyKD7-ai-seo-lead",
        "location": "Buenos Aires, Buenos Aires, AR / Remote (US)",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$1.5K - $12K / monthly",
        "equity_range": "0.01% - 0.10%",
        "experience": "1+ years",
        "visa": "US citizenship/visa not required",
        "skills": [
          "Search"
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    "launches": [
      {
        "id": 112046,
        "title": "The Sunflower Clinic of Addiction Medicine (live in PA & MI) 🌻",
        "tagline": "We're building a 50 state telemedicine program for SUDs, reimbursed by medicaid.",
        "body": "**TLDR:** Sunflower Sober started by building the best AI Sponsor on the market &amp; powering over 21,500,000 days of sobriety. Now we are launching the **Sunflower Clinic of Addiction Medicine** to bring Therapy &amp; Medication to our users, reimbursed by medicaid. We have over $153M worth of patients on a waitlist.\n\n**App:** <https://apps.apple.com/us/app/sunflower-quit-any-addiction/id1547099435>\n\n**Clinic:** <https://sunflowerclinic.com/>\n\n![uploaded image](/media/?type=post&id=112046&key=user_uploads/132378/fc76c836-d166-4caf-b46c-fc2f85ddb653)\n\nHello friends!!\n\nDid you know that it is harder to build a **50 state SUD outpatient program that takes medicaid**, than it is to put rockets into space?\n\nThe licensing requirements once you start treating substances as a primary diagnosis are quite frankly insane, state-level medicaid approval, county level MCO contracts, physical facilities in every state.\n\nBut we started Sunflower to solve **hard problems**.\n\nMost people look at us and think “hehe, a mobile app, a sobriety counter”. When we raised our pre-seed with no product and no revenue I told our early investors that this is my version of going to mars. Sunflower isn’t here to just build a sobriety counter. **We are trying to literally and objectively end addiction.**\n\nWe’re on a mission to create one TRILLION days of sobriety, one day at a time.\n\nSo far we have powered over 21,500,000 days.\n\nWe built the first AI Sponsor, named Sam, who has now had over **7,000,000 messages** with our users. More messages than any “entity” has ever had within a single lifetime about sobriety.\n\nSam is a critical piece to the sobriety journey. Almost 80% of surveyed users at d60 report Sunflower preventing at least one relapse, and **93.6% report a reduction in substance usage**.\n\nBut we’ve always known that an AI Sponsor is only a PART of what people need to get sober. They still need **therapy**. They still need **medication**.\n\nThe problem?\n\nWhen you are struggling with substance abuse (alcohol or otherwise), you often don’t have $10 in your bank account to pay for gas.\n\nWe have too many users that downloaded Sunflower because **they can’t afford paying $125/hr for therapy**. That can’t afford dropping $350 a quarter for Naltrexone.\n\nOutpatient programs for SUDs are one of the most regulated spaces within behavioral health, and because of this, access to care that _will actually take our users insurance_ (medicaid) is extremely limited.\n\nThis is why we are working to build the **Sunflower Clinic of Addiction Medicine**.\n\nA 50 state telemedicine program for SUDs that _actually_ takes medicaid. Now live in MI &amp; PA with SUD facility licensing, state medicaid approval, and in the final steps of county level MCO contracting.\n\nWe are combining our best in class AI Sponsor with Mayo Clinic MDs and therapy leadership that built group programs at Charlie Health from 8 - 300+ therapists … our goal is to build the **best outpatient program on the face of this planet** &amp; get it covered by medicaid nationwide.\n\nSo far we have over **37,500+ patients on a waitlist** who have requested Therapy or Medication from Sunflower, representing a TAM of $153M waiting to be served.\n\nWe are going to solve one of the most important problems in human existence. A problem that globally we spend over $100B treating every year, and is the greatest shackle to the acceleration of humanity.\n\n**Thanks for following along with our story.** Here’s some data. 🌻\n\n![uploaded image](/media/?type=post&id=112046&key=user_uploads/132378/bc43bb69-3c76-4b16-8e62-9cfb56adef66)\n\n![uploaded image](/media/?type=post&id=112046&key=user_uploads/132378/6360a175-3730-4f34-8f8f-877c0ecab8e8)\n\n![uploaded image](/media/?type=post&id=112046&key=user_uploads/132378/811dae90-30c2-433d-93fb-876fb9f2beb3)\n\n![uploaded image](/media/?type=post&id=112046&key=user_uploads/132378/8202d2c7-82ba-45c5-bf9b-c9c2373454b5)\n\n![uploaded image](/media/?type=post&id=112046&key=user_uploads/132378/d23f1ef9-74b8-4e82-8020-6b8938e6acc5)\n\n![uploaded image](/media/?type=post&id=112046&key=user_uploads/132378/96db8f55-0afb-4cf5-bb78-715ba7e29fa6)\n\n![uploaded image](/media/?type=post&id=112046&key=user_uploads/132378/f3fec3da-c919-4264-8946-5aed579c3493)\n\n",
        "url": "https://www.ycombinator.com/launches/T9C-the-sunflower-clinic-of-addiction-medicine-live-in-pa-mi",
        "votes": 526,
        "created_at": "2026-08-24T16:12:24.013Z"
      },
      {
        "id": 94154,
        "title": "Sunflower: An AI Agent tasked with helping you stay sober. 🌻",
        "tagline": "Quit drinking alcohol, nicotine, cannabis, opioids, heroin, gambling, porn, or anything else",
        "body": "![uploaded image](/media/?type=post&id=94154&key=user_uploads/132378/03768fda-8234-42c4-a4ef-07df5eccdb39)\n\nHey friends!\n\nSunflower builds an app that **uses AI to convince people to stop drinking** (or doing drugs) & **to stop killing ourselves**. 🐝\n\nMost people have a personal story or connection with addiction.\n\nFor me, I used to smoke too much weed (thank god it wasn’t anything harder). My grandpa passed away from alcoholism & my grandma passed away from lung cancer.\n\n“Addiction” is a supply constrained market, which means that there isn’t enough supply (good doctors) to properly service the 1 billion+ humans who struggle with addiction.\n\nBut because of an AI, **for the first time EVER**, we have an infinitely scalable solution to effectively treat addiction.\n\n**Sunflower grew from 200 → 100,000 Monthly Active Users in less than 6 months**, and now we’re in almost every country on earth in English, Spanish, Japanese, Korean, Portuguese.\n\nSorry there’s no “video” for this Launch YC. Best way to experience our product is to simply [go download it](https://sunflowersober.com/).\n\n**Here’s the thing i’m most proud of**, which is what our users actually say about this thing that we built:\n\n![uploaded image](/media/?type=post&id=94154&key=user_uploads/132378/02950d8c-fc04-4f17-93be-075ed219c1ba)\n\n![uploaded image](/media/?type=post&id=94154&key=user_uploads/132378/97b08723-3fa7-493f-b1cc-9733d3270220)\n\n![uploaded image](/media/?type=post&id=94154&key=user_uploads/132378/fc3432ff-3c0b-48af-b989-0cba27824309)\n\n![uploaded image](/media/?type=post&id=94154&key=user_uploads/132378/8bfa5024-b885-4b80-a532-fe88966d4b01)\n\n![uploaded image](/media/?type=post&id=94154&key=user_uploads/132378/3a18de92-bd65-4294-9ea5-73d7a140ba46)\n\n![uploaded image](/media/?type=post&id=94154&key=user_uploads/132378/37117421-e206-4e2e-b07f-20aac23d3455)\n\n![uploaded image](/media/?type=post&id=94154&key=user_uploads/132378/6b7ea32c-b46d-4fd7-a046-2577d9102a71)\n\n",
        "url": "https://www.ycombinator.com/launches/OUc-sunflower-an-ai-agent-tasked-with-helping-you-stay-sober",
        "votes": 456,
        "created_at": "2025-09-26T20:58:53.448Z"
      }
    ]
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    "id": 30918,
    "name": "ComplyDo",
    "slug": "complydo",
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    "website": "https://www.complydo.io/",
    "all_locations": "Berlin, Berlin, Germany",
    "long_description": "The most flexible enterprise compliance engine that makes GRC teams 10x more efficient. Already trusted by global leaders and the largest EU enterprises.\r\n\r\nWhat it does:\r\n- Extracts requirements from any file\r\n- Maps them to controls and policies\r\n- Shows gaps and monitors changes\r\n- Advises on maturity and next steps",
    "one_liner": "Global Compliance for Enterprises",
    "team_size": 17,
    "industry": "B2B",
    "subindustry": "B2B -> Legal",
    "launched_at": 1759460278,
    "tags": [
      "B2B",
      "Compliance",
      "LegalTech",
      "Cybersecurity",
      "AI"
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Fall 2025",
    "status": "Active",
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      "Legal"
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    "regions": [
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      "Europe"
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    "stage": "Early",
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    "question_answers": [
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        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "Enterprises waste months and millions on manual IT compliance. It slows deals, blocks growth, creates regulatory risk, and drains already stretched teams. Global rules get more complex every week, but tools and consultants haven’t kept up.\r\n\r\nWe built ComplyDo to change that: the most flexible compliance engine for enterprises. With ComplyDo companies can move faster, stay safer, and win across markets."
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    ],
    "url": "https://www.ycombinator.com/companies/complydo",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/complydo.json",
    "year_founded": 2025,
    "city": "Berlin",
    "country": "DE",
    "linkedin_url": "https://www.linkedin.com/company/complydo-io",
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    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
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    "founders": [
      {
        "user_id": 2687177,
        "full_name": "Leo Schuhmann",
        "title": "Founder/CEO",
        "founder_bio": "Helping enterprises win across markets. \nTech & Consulting Background.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/leo-schuhmann-324927182/",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6a02c3ebd952a4ff24d89085719f812b941e2b00.jpg"
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      {
        "user_id": 2710525,
        "full_name": "Moritz Moser",
        "title": "Founder/CPO",
        "founder_bio": "Building ComplyDo",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/moritz-moser-99b3a320a/",
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      {
        "user_id": 2735214,
        "full_name": "Matthias Schneider",
        "title": "Founder/CTO",
        "founder_bio": "Deploying agents to automate enterprise compliance.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/matthias-schneider-134391223/",
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    "jobs": [
      {
        "id": 99476,
        "title": "Engineer",
        "url": "https://www.ycombinator.com/companies/complydo/jobs/oA2oHJC-engineer",
        "location": "Berlin, BE, DE / Berlin, Berlin, DE",
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        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "€60K - €90K EUR",
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        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
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    "launches": [
      {
        "id": 94528,
        "title": "ComplyDo 🌎: Automating how enterprises comply with hundreds of global regulations",
        "tagline": "More Comply, Less Do.",
        "body": "Hi, we’re [**Leo**](https://www.linkedin.com/in/leo-schuhmann-324927182/), [**Moritz**](https://www.linkedin.com/in/moritz-moser-99b3a320a/) & [**Matthias**](https://www.linkedin.com/in/matthias-schneider-134391223/), launching [**ComplyDo**](https://www.complydo.io/).\n\n# **TL;DR**\n\n**ComplyDo automates how enterprises comply with hundreds of global regulations.** Already used by leading global players to replace months of manual work, reduce consulting hours, and accelerate market access.\n\n**Ask:** Can you introduce us to compliance, GRC, or audit leaders at enterprises and consultancies? We can help them a lot. Contact: [**leo.schuhmann@complydo.io**](mailto:leo.schuhmann@complydo.io)\n\nhttps://www.youtube.com/watch?v=qDvBicSeQ0U\n\n# The problem\n\nEnterprises face an explosion of global regulations and standards. ISO, PIPL, NIS2, PCI, DORA, and many more. Due to this complexity, compliance, legal, and audit teams still handle most of the work manually or through consultants: mapping requirements, reviewing policies, collecting evidence, and maintaining spreadsheets. It’s slow, expensive, and limits how fast companies can move.\n\n![uploaded image](/media/?type=post&id=94528&key=user_uploads/2687177/89a03819-0f69-4e68-aa22-0694b846409b)\n\n---\n\n# The solution\n\n![uploaded image](/media/?type=post&id=94528&key=user_uploads/2687177/9057684c-921e-4d4a-adf8-42f72b97f822)\n\n**ComplyDo** automates this painful process. Upload any regulation, standard or requirement file. Our system:\n\n1. Extracts requirements and obligations\n2. Maps them to your internal controls and policies\n3. Identifies gaps and next steps\n4. Monitors changes across frameworks\n\nAlready **used by global enterprises**, ComplyDo helps organizations stay compliant continuously and scale across markets. **Without** a fleet of consultants.\n\n---\n\n# How we got here\n\nWe’ve worked across consulting, software development, and AI, and saw the same issue in every global company. Starting with some of the world’s most innovative enterprises, we went deep into their GRC processes and shifted manual work from compliance teams and consultants to our models. It became the foundation for faster, smarter global governance.\n\n---\n\n---\n\n# Call to action\n\nWe’re expanding with enterprises, innovative consultancies, and certification bodies. **If you work in GRC, internal audit, or cyber/IT compliance**, we’d love to connect! We go above and beyond to eliminate slow, manual work. If someone in your network could benefit, an intro would mean a lot.\n\n📩 [**leo.schuhmann@complydo.io**](mailto:leo.schuhmann@complydo.io)\\\n🌐 [complydo.io](http://complydo.io)\n\n---\n\n**More Comply. Less Do.**\n\n![uploaded image](/media/?type=post&id=94528&key=user_uploads/2687177/d3081360-af6f-4fed-adda-c726d5037ccd)\n\n",
        "url": "https://www.ycombinator.com/launches/Oae-complydo-automating-how-enterprises-comply-with-hundreds-of-global-regulations",
        "votes": 66,
        "created_at": "2025-10-09T18:26:18.676Z"
      }
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    "id": 30927,
    "name": "Oxus",
    "slug": "oxus",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ece043321e153a7271fa8a0ce88ad2f409b18fe3.png",
    "website": "https://oxus-ai.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Oxus automates internal audits for pre-IPO and public companies using AI. Companies including leading payroll providers, public biotechs, and social media enterprises work with us to streamline audit workflows and get audits done 10x faster. \r\n\r\nLearn more at: https://www.oxus-ai.com/",
    "one_liner": "AI-powered automation for internal audit workflows",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1765688555,
    "tags": [],
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2026",
    "status": "Active",
    "industries": [
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    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/oxus",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/oxus.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/oxus-ai-inc",
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    "primary_partner": {
      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
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    "founders": [
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        "user_id": 1547632,
        "full_name": "Janet Liu",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder and CEO of Oxus. MIT B.S. in Computer Science, Economics, Data Science and in Finance. Prev: digital payments research at the Federal Reserve; investment strategy at D.E. Shaw.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/janet-liu-4856b91b4",
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      {
        "user_id": 1542232,
        "full_name": "Melinda Liu",
        "title": "Founder/COO",
        "founder_bio": "Co-founder and COO of Oxus. MIT B.S. in Computer Science, Economics, Data Science and in Finance. Prev: built AI products for fintech; finance at JPMorgan.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/melinda-liu-4a87a3198",
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      },
      {
        "user_id": 1417964,
        "full_name": "Christine Watts",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder and CTO of Oxus. MIT B.S. in Artificial Intelligence. Prev: built ML systems for early- and growth-stage startups; consulting at BCG and NERA.\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/christinewatts2018/",
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    "jobs": [
      {
        "id": 108254,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/oxus/jobs/edLPXRJ-founding-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $250K",
        "equity_range": "1.00% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": [
          "Amazon Web Services (AWS)",
          "LLMs",
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    "launches": [
      {
        "id": 96466,
        "title": "Oxus: AI-native automation for SOX audits",
        "tagline": "Modern intelligence for better audits",
        "body": "Hi all, \n\nWe’re [Janet](https://www.linkedin.com/in/liujanet8/), [Christine](https://www.linkedin.com/in/christinewatts2018/), and [Melinda](https://www.linkedin.com/in/melinda-314-liu/) - a team from MIT building [Oxus](https://www.oxus-ai.com/).\n\n**TL;DR:** With [Oxus](https://www.oxus-ai.com/), internal audit teams save millions in outsourcing fees and get audits done 10x faster. Reach out if you are/know of any internal auditors! \n\nhttps://youtu.be/gmgO_Pa-vZk\n\n**❌ The problem**\n\nPublic companies are required to prove their financial reporting and underlying processes - from payments to system access - work as expected. Today, that work is **highly manual and costly**:\n\n* **Weeks spent scoping what to audit**, assessing risk across financial statements, sub-accounts, and business units\n* Meeting with stakeholders, then spending **5-15 hours to turn notes into a flowchart** visualizing each process\n* Digging through **spreadsheets, PDFs, screenshots, and emails** to find relevant evidence\n* **Thousands of hours/year repeating the same checks**: sifting through 200-page documents for signatures, matching orders to invoices, reviewing system access for hundreds of employees, etc\n\nAnd it costs **$200–$800/hour** to outsource this work to outside accounting/consulting firms, adding up to **$300K–$1M+ per year** in annual spend.\n\n🐂 **The solution**\n\nWhat Oxus enables:\n\n* **Accelerate audit scoping**, automatically surfacing higher-risk areas using both financial metrics and qualitative factors\n* **Within minutes**, **generate and update process flowcharts** immediately after meetings\n* **Simplify evidence review**, so teams can locate and interpret information across disparate files and systems\n* **Eliminate repetitive manual checks**, handling large volumes of comparisons and reviews at once and producing reviewer-ready documentation with labeled, traceable evidence\n\nWith Oxus, teams save **millions** in outsourcing fees and get audits done **10x faster.** \n\n**The ask**\n\nWe’re onboarding early customers and would love intros to any of the following at pre-IPO/public companies:\n\n* Chief Audit Executives / Chief Financial Officers\n* Heads of Internal Audit / SOX / Internal Controls / Platform Controls / Risk Assurance\n* Internal auditors\n* Controllers\n\nFeel free to reach out directly to us at [founders@oxus-ai.com](mailto:founders@oxus-ai.com) or book a call [here](https://calendly.com/liujanet/janet-christine-melinda?month=2025-12) to learn more!\n\n![uploaded image](/media/?type=post&id=96466&key=user_uploads/1547632/bf2d4900-8d4f-46f8-ba71-399ab2f5ac18)\n\n",
        "url": "https://www.ycombinator.com/launches/P5u-oxus-ai-native-automation-for-sox-audits",
        "votes": 2437,
        "created_at": "2026-01-05T18:41:30.019Z"
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    "id": 30928,
    "name": "Darwin",
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    "website": "https://darwinrobotics.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Darwin Robotics creates general-purpose robots to build and maintain the machines civilization runs on.\r\n\r\nWe're starting with AI infrastructure, where skilled technicians perform a long tail of physical work across assembly, installation, commissioning, and maintenance. Our robots learn new tasks from demonstrations rather than being explicitly programmed for each workflow.\r\n\r\nFirst deployments are planned for early 2027.",
    "one_liner": "Robots to build civilization",
    "team_size": 4,
    "industry": "Industrials",
    "subindustry": "Industrials -> Manufacturing and Robotics",
    "launched_at": 1762476616,
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      "Machine Learning",
      "Robotics",
      "AI"
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    "isHiring": true,
    "nonprofit": false,
    "batch": "Fall 2025",
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    "industries": [
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      "America / Canada"
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      {
        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "We are brothers and have been building things together our whole lives. We grew up in the Caribbean with our mom, obsessed with math and computers. Sergio taught himself calculus from MIT OpenCourseWare at 12, published mathematics as a teenager, and later worked on AI and robotics at Stanford, Nvidia, and Google X. Luigi studied math and CS at Columbia, then co-founded a payments company where he scaled engineering from zero to billions in transaction volume.\r\n\r\nAs kids, we built worlds in Minecraft. Now, we’re building robots."
      },
      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "We sit at the dawn of a new era in civilization. AI is beginning to solve problems across science and mathematics that were previously impenetrable. Yet this intelligence is still largely confined to the screen.\r\n\r\nWe believe the next frontier is physical. Our goal is embodied artificial general intelligence.\r\n\r\nWhen we succeed, billions of intelligent robots will work alongside humans, performing useful work and expanding what humanity is capable of."
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    "url": "https://www.ycombinator.com/companies/darwin",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/darwin.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
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      "url": "https://www.ycombinator.com/people/tom-blomfield"
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        "user_id": 455353,
        "full_name": "Sergio Charles",
        "title": "Founder/CEO",
        "founder_bio": "Robots to build civilization. Prev: AI R&D at Google X, NVIDIA, and Stanford AI Lab, working with Chelsea Finn on autonomous RL for robotics and Andrew Ng on computer vision. Stanford B.S. Math & CS, M.S. Stats.",
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        "linkedin_url": "https://www.linkedin.com/in/sergio-charles-5a8052134/",
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      {
        "user_id": 1021038,
        "full_name": "Luigi Charles",
        "title": "Founder",
        "founder_bio": "Building Westworld. Previously founded a fintech payments startup, scaling volume from zero to billions. Columbia CS & Math.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/luigicharles",
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        "id": 96229,
        "title": "Member of Technical Staff, AI & Robotics",
        "url": "https://www.ycombinator.com/companies/darwin/jobs/R8xvEoc-member-of-technical-staff-ai-robotics",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$120K - $170K",
        "equity_range": "0.75% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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          "Torch/PyTorch",
          "Machine Learning",
          "Deep Learning",
          "Reinforcement learning (RL)",
          "CUDA",
          "Microcontrollers",
          "Diffusion Models"
        ]
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 95309,
        "title": "δ Thesis: Building the frontier of AI discovery",
        "tagline": "Making it possible for researchers anywhere to discover the next Transformer or invent the next AlphaFold.",
        "body": "Thesis is an applied AI lab accelerating the frontier of AI discovery.\n\nWe're making it possible for researchers anywhere to discover the next Transformer or invent the next AlphaFold.\n\n**Mission**\n\nOur mission is to make state-of-the-art AI discovery 10x faster and 10x cheaper. The big labs are racing to get there, but their need to productize and turn a profit has already weighed them down. Thesis embraces rapid experimentation and novel fundamental research. Our singular focus, outcome-driven mindset, and early results give us confidence that we can get there first.\n\n**Results**\n\nThesis is state-of-the-art on OpenAI’s Machine Learning Engineering benchmark ([MLE-Bench](https://github.com/openai/mle-bench?tab=readme-ov-file#mle-bench)).\n\nMLE-Bench tests how well AI systems can train ML models autonomously, a first step toward self-improving systems. We achieved this result in the record time of 1 month and with only $10k in compute. Agents will get you far, but not far enough. Our methods mix old school with new, and have already outperformed teams of researchers at Microsoft, Google, Meta, and Baidu.\n\n![uploaded image](/media/?type=post&id=95309&key=user_uploads/455353/310c8083-1512-40c3-8e31-c1cc941f3634)\n\n**Team**\n\nLuigi and Sergio are brothers. Back in 2021, Sergio [wrote about a future where AI could create its own algorithm](https://cs229.stanford.edu/proj2021spr/report2/82285254.pdf)s. With today's foundation models, that future is suddenly within reach.\n\nSergio worked on AI R&D at Google X, Nvidia, and Stanford’s AI Lab (SAIL). He has published work at NeurIPS and ICML, and has worked with Chelsea Finn and Andrew Ng.\n\nLuigi built Sphere, a fintech company that processes billions of dollars every year in global cross-border payments. Sphere was recently valued at $250 M+ in its Series A round.\n\n**10 Year Vision**\n\nThe holy grail of AI is building self-improving systems that, guided by human creativity, enable breakthroughs and new paradigms achieving state-of-the-art results under resource constraints.\n\nIn the limit, our engine will expand beyond ML to every domain of science, from computational biology, to theoretical mathematics and physics. Thesis will autonomously discover new knowledge and become the driving force behind humanity’s scientific progress.\n\n**Our Ask**\n\nWe collaborate with leading institutions, startups, and independent researchers around the world. If you’re interested in what we’re building, please get in touch: \\[[ask@thesislabs.ai](mailto:ask@thesislabs.ai)\\](mailto:[ask@thesislabs.ai](mailto:ask@thesislabs.ai))",
        "url": "https://www.ycombinator.com/launches/OnF-thesis-building-the-frontier-of-ai-discovery",
        "votes": 232,
        "created_at": "2025-11-11T16:40:14.609Z"
      }
    ]
  },
  {
    "id": 30938,
    "name": "Imagine AI",
    "slug": "imagine-ai",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/970910171a94d4462949dcdc9bf32a46422e39bc.png",
    "website": "https://imagineai.me",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Imagine AI is a research and software company reverse engineering modern B2B growth, starting with LinkedIn.\r\n\r\nAs companies get more automated, more of B2B growth will happen between agents, and the companies that connect will compound each other's output. We're building the connective layer between them. We start with content because it's still the fastest way to build B2B relationships at scale.\r\n\r\nToday our content agent decides what your team should post based on data from 1M+ people (who posts what, who engages, where they work and how they're connected). It drafts the posts and graphics, schedules them for your execs and company page, and maps engagement back to your pipeline.\r\n\r\nRippling, MarqVision, Slash, Corgi and Fondo use Imagine AI. Customers have generated $40M in revenue, 100M impressions and 14,341 MQLs.\r\n\r\nFree public benchmark of how 1,000+ B2B companies and their execs perform on LinkedIn: https://benchmark.useimagine.ai",
    "one_liner": "We reverse engineer B2B growth, starting with LinkedIn.",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Sales",
    "launched_at": 1757695309,
    "tags": [
      "B2B",
      "Sales",
      "Marketing",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Fall 2025",
    "status": "Active",
    "industries": [
      "B2B",
      "Sales"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/imagine-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/imagine-ai.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/ai-imagine",
    "x_url": "https://x.com/imagineagi",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/970910171a94d4462949dcdc9bf32a46422e39bc.png",
    "app_video_url": null,
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    "company_photos": [
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    ],
    "primary_partner": {
      "name": "Pete Koomen",
      "url": "https://www.ycombinator.com/people/pete-koomen"
    },
    "founders": [
      {
        "user_id": 1654391,
        "full_name": "Sky Yang",
        "title": "Founder/CEO",
        "founder_bio": "Sky Yang is the Co-founder & CEO of Imagine AI.\n\nHe was the youngest-ever elected Student Body President at UC San Diego, where he led 32,000 students and successfully raised $150M for university infrastructure improvement. He also founded the nonprofit Break the Outbreak, scaling it to a 400-person organization operating in 53 cities/18 States.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/skyyang/",
        "x_url": "https://x.com/skygodkingdom",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5126ec188c4e513ebf71c6c237dc01b027e7f393.jpg"
      },
      {
        "user_id": 1051338,
        "full_name": "Neo Lee",
        "title": "Co-founder",
        "founder_bio": "Neo Lee co-founded Imagine AI in 2025, which now serves 50+ B2B companies including MongoDB, Rippling, Slash, and Corgi Insurance.\n\nHe was previously a founding engineer at startups backed by MiraclePlus, Mysten Labs, and the SUI Foundation, and researched non-cooperative stochastic games at UC Berkeley under Prof. Alan Hammond, where he proved a previously open equilibrium-threshold result in stake-governed tug-of-war games.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/neo-lky",
        "x_url": "https://x.com/neo_lky",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/df8c684381c101d4a6e29f436659162b3f5e1db1.jpg"
      }
    ],
    "jobs": [
      {
        "id": 102004,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/imagine-ai/jobs/tqTTn1x-founding-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$170K - $230K",
        "equity_range": "0.50% - 1.50%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Node.js",
          "PostgreSQL",
          "React",
          "TypeScript",
          "SQL",
          "Neo4j",
          "Next.js"
        ]
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 97977,
        "title": "Imagine AI - B2B content for your entire team that books meetings before competitors get a reply",
        "tagline": "$31M in revenue generated across 40+ B2B companies. Now with multi-seat team coordination.",
        "body": "Hey YC.\n\nWe're Sky and Neo from Imagine AI.\n\nWe just launched multi-member team content for B2B companies.\n\nMost companies try LinkedIn GTM with one founder posting alone. It works, but it's slow. One voice. One network. Limited reach.\n\nWhat actually moves the needle is coordinated team effort. Multiple executives posting aligned content, amplifying each other, creating a ripple effect across the org.\n\nThat's what we built.\\\n\\\n<https://youtu.be/vSiHQ7_aQiA>\n\n**TL;DR:** We build 100+ page personas for each person on your team, then run your entire content pipeline: LinkedIn posts, strategic comments, coordinated team cadence. Every client gets a dedicated Content Engineer backed by our AI platform. $31M in revenue generated across 40+ B2B companies.\n\n**Ask:** B2B company doing sales-led growth? Book a demo at [imagineai.me](http://imagineai.me) or email [**sky@imagineai.me**](mailto:sky@imagineai.me)\n\n**The Problem**\n\nB2B buyers trust people, not logos. But most companies have zero content infrastructure.\n\nFounders and execs are juggling product, sales, and fundraising. Content falls to the bottom. Hiring an agency costs $150K+ and takes months to onboard per person. Generic AI tools produce robotic content that damages your brand. And even when someone does post, there's no coordination across the team. Your CEO and VP of Sales are operating in silos instead of running coordinated campaigns.\n\n**What's New**\n\n1️⃣ **Multi-seat access with coordinated cadence.** Your whole leadership team posts through Imagine AI. Not just the CEO. VP Sales, VP Marketing, Head of GTM, whoever needs to be building their presence. Your CEO posts the vision, your VP of Sales posts the proof, your Head of Marketing posts the framework. Same theme, different angles, coordinated ripple cadence.\n\n2️⃣ **100+ page Persona Reports for each person.** We go through transcripts, interviews, podcast appearances, posts, and conversations for every person on your team. The result reads more like a biography than a brief. That's why the content sounds like each person actually wrote it. Not a polished corporate version. Them.\n\n3️⃣ **Dedicated Content Engineer per account.** Every client gets a real person who owns your strategy. They set the pace, coordinate your team's content cadence, and ensure what we ship makes sense for your business. A senior content strategist with an AI platform behind them.\n\n4️⃣ **AI-powered analytics that track pipeline, not pageviews.** You can see which posts start real conversations with your ICP. Audience activation, conversation quality, inbound meeting requests. Actual numbers, not vibes.\n\n5️⃣ **Cut content creation time by 95%.** Executive post creation reduced from 1 hour to 5 minutes. Content prep reduced from 8 hours to 30 minutes. Most clients spend 2-4 hours per month on the platform. The rest runs on its own.\n\n**Our Traction**\n\nLaunched November 2025. Now serving 40+ paying B2B companies from pre-seed to publicly traded.\n\nClients include Rippling, Corgi Insurance, Campfire AI, Fondo, Paramify, and others.\n\n📈 Results across all clients:\n\n* **$31M** in revenue generated\n* **431** qualified inbounds in 1 month for one client\n* **$53K** inbound revenue in 1.5 weeks for another\n* **12M** total impressions generated\n* **10,400** hours saved so far\n\nWe built all of this because our customers kept asking for it. They wanted their whole team posting, but couldn't justify the time investment for each person.\n\nNow they can.\n\n**Our Ask**\n\nKnow a B2B company doing sales-led growth that needs a content engine for their team? Intro us.\n\nBook a demo: [**https://imagineai.me**](https://imagineai.me)\n\nReach us:\n\n* [**sky@imagineai.me**](mailto:sky@imagineai.me)\n* 650-518-8626 (text first)\n* Sky: [**https://linkedin.com/in/skyyang**](https://linkedin.com/in/skyyang**)\n* Neo: [**https://linkedin.com/in/neo-lky**](https://linkedin.com/in/neo-lky**)\n\n![uploaded image](/media/?type=post&id=97977&key=user_uploads/1654391/83eab6ad-ab88-4062-9a91-16f4cc721bae)\n\n",
        "url": "https://www.ycombinator.com/launches/PUH-imagine-ai-b2b-content-for-your-entire-team-that-books-meetings-before-competitors-get-a-reply",
        "votes": 6,
        "created_at": "2026-02-19T21:55:09.306Z"
      },
      {
        "id": 94851,
        "title": "Imagine AI - We build your B2B content pipeline so your prospects find you first",
        "tagline": "#1 B2B content engineering for Linkedin, Blogs, and Thought Leadership that converts $10M so far",
        "body": "Hey YC.\n\nWe're Sky and Neo from Imagine AI, and we build B2B content pipelines for companies doing sales-led growth.\n\n**TL;DR:** We build high-fidelity personas that replicate how you think and write, then use them to handle your entire content pipeline: LinkedIn posts, strategic comments, GEO/SEO/category defining blogs. The result is content that drives qualified inbounds.\n\nOne client got 200 qualified inbounds in a month. Another landed a $5M deal from a single post. A third generated 40K in revenue from inbounds in 10 days.\n\nhttps://youtu.be/SiAtXolPFmY\n\n**The Problem**\n\nB2B founders know content drives pipeline. But you're juggling product, sales, and fundraising. You don't have time to make B2B content. Hiring an agency costs $150K and takes months to onboard. Generic AI tools produce robotic content that damages your brand.\n\n**Our Solution**\n\nWe don't just write posts for you. We perform content engineering to get you to content market fit.\n\n![uploaded image](/media/?type=post&id=94851&key=user_uploads/1654391/15084825-fe7a-42f5-a032-78c90d251f6a)\n\nHere's what that means:\n\n**Step 1: Build a high-fidelity persona** We extract everything about how you think, write, and sell from your transcripts, articles, and interviews. The result is a persona document literally the length of a Harry Potter book. This isn't surface-level voice cloning. It's deep context about your worldview, your clients' pain points, and your unique insights.\n\n**Step 2: Content engineering to market fit** We use that persona to build your entire content pipeline: 4 LinkedIn posts per week, strategic comments on prospect posts, category defining blogs that rank. Then we optimize based on engagement data until we hit content market fit, where your content consistently drives qualified inbounds.\n\n**Step 3: Measure what matters** We track qualified conversations, not vanity metrics. We closed 10M in revenue so far for our clients.\n\nThat's content market fit.\n\n**Our Traction**\n\nWe launched in mid-July, now serve 30+ paying customers including 16 YC companies plus VCs, global franchises, and ghostwriting agencies (Conduit W24, Freya AI S25, AthenaHQ W25, Itworks, Fuwa Fuwa). Achieving minimum 30%-70% week to week growth.\n\n💡 Results:\n\n* $10M+ in total revenue generated\n* $5M deal from one optimized post\n* $40K inbound revenue in 1.5 weeks\n* 200+ qualified inbounds in one month\n* Client onboarding cut from 2 weeks to 1 week\n* Content prep reduced from 8 hours to 30 minutes\n\n**Our Ask**\n\nFor F25 companies: First 5 to reach out get 20% off first month.\n\nFor everyone: Know a B2B company doing sales-led growth that needs content? Intro us.\n\nTry it: [**https://imagineai.me**](https://imagineai.me)\n\nReach us:\n\n* [**sky@imagineai.me**](mailto:sky@imagineai.me)\n* 650-518-8626 (text first)\n* [**https://www.linkedin.com/in/skyyang/**](https://www.linkedin.com/in/skyyang/**)\n* Neo: [**https://linkedin.com/in/neo-lky**](https://linkedin.com/in/neo-lky**)",
        "url": "https://www.ycombinator.com/launches/Ofr-imagine-ai-we-build-your-b2b-content-pipeline-so-your-prospects-find-you-first",
        "votes": 67,
        "created_at": "2025-10-23T17:22:47.927Z"
      }
    ]
  },
  {
    "id": 30942,
    "name": "Scott AI",
    "slug": "scott-ai",
    "former_names": [
      "Juno",
      "Scott AI",
      "Juno"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e147d1eb5a08ce6e087e44a2f10d637816c7c5db.png",
    "website": "https://tryscott.ai",
    "all_locations": "New York City, NY, USA",
    "long_description": "Coding agents made writing code fast. But 6 engineers in a room will probably still disagree on what needs to be built.\r\n\r\nScott AI is a planning workspace where engineering teams align on what to build before their coding agents start building it.",
    "one_liner": "The planning layer for teams that build with coding agents",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1762199813,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Fall 2025",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/scott-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/scott-ai.json",
    "year_founded": 2025,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/scott-ai",
    "x_url": "https://x.com/scott_ai_",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e147d1eb5a08ce6e087e44a2f10d637816c7c5db.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Garry Tan",
      "url": "https://www.ycombinator.com/people/garry-tan"
    },
    "founders": [
      {
        "user_id": 1254494,
        "full_name": "David Maulick",
        "title": "Founder/CEO",
        "founder_bio": "David is an ex staff Engineer and manager from Coinbase. Over the past 4 years he was focused on developer platforms that today power 95% of UI at Coinbase, 65% of Coinbase edge traffic, and are used by >700 engineers daily. His last project was building the first AI powered dev tool for the Data Layer team.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/davidemaulick/",
        "x_url": "https://x.com/davidmaulick",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b8a57e11c7e4bb38a0bc3d16a8d266b9b45d813e.jpg"
      },
      {
        "user_id": 552088,
        "full_name": "Devin Cintron",
        "title": "Founder/CTO",
        "founder_bio": "Building Scott! Previously founding eng & head of mobile at Comun (Redpoint, Costanoa) where I scaled us from 0 to millions of installs. Before that KP Eng fellow, consulting at Bain, Stanford BS in CS focus on AI",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/devin-cintron",
        "x_url": "https://x.com/devin_bc",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e8ad213a5344317cec00fc1060999c807baba0d0.jpg"
      }
    ],
    "jobs": [
      {
        "id": 92903,
        "title": "Product Engineer",
        "url": "https://www.ycombinator.com/companies/scott-ai/jobs/fU8EJfh-product-engineer",
        "location": "New York, NY, US / San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$140K - $250K",
        "equity_range": "0.50% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 92905,
        "title": "Design Engineer",
        "url": "https://www.ycombinator.com/companies/scott-ai/jobs/v9jd8ed-design-engineer",
        "location": "San Francisco, CA, US / New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$140K - $250K",
        "equity_range": "0.50% - 1.50%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 95166,
        "title": "Scott AI  - Agentic Workspace for Software Spec Design",
        "tagline": "Get to your best spec faster. Align with your team faster. Let coding agents take on larger tasks.",
        "body": "Hi everyone 👋\\\n\\\nWe are[ David](https://www.linkedin.com/in/davidemaulick/) and[ Devin](https://www.linkedin.com/in/devin-cintron/) – co founders of[ Scott AI](https://www.tryscott.ai/download).\n\nTL;DR\n\n**Scott runs several coding agents side by side to expose their disagreements and help you get to the best spec faster.** With Scott, your coding agents can take on larger tasks while respecting your requirements.\n\n**Ask:** Try[ Scott AI](https://www.tryscott.ai) for at <https://www.tryscott.ai/apply>.  To use Scott with your team, book a demo with us [here](https://calendly.com/david-tryscott/david-scott-ai-30-min-meeting).\n\n<https://www.youtube.com/watch?v=c08GE8cMX-E>\n\n**❌ The Problem**\n\nCoding agents are fast and generate lots of code. But they often do things we don’t want them to. To name a few:\n\n* Over-architecting and using the wrong abstractions\n* Using obscure libraries for the job\n* Early optimizations for future problems that will never exist\n\nThat said, it’s not really their fault! Builders need a tool that better aligns coding agents with our intent.\n\n\\\n**The Solution**\n\nA tool that highlights the most important and relevant design decisions early, makes it easy to compare tradeoffs, and helps you pick the spec that most accurately matches your intent.\n\n[**👷**](https://emojipedia.org/construction-worker) **What we are building**\\\n\\\nScott AI is the agentic workspace for software spec design. Scott lets teams orchestrate “swarms of experts” to debate architecture designs, making it easy for developers to discover and align on the best plan before handing it off to execution-oriented agents like Claude, Codex, or Cursor.\n\nWith Scott, teams grant multi-agent swarms of any model (Claude w/ Sonnet 4.1, Codex w/ GPT-5, etc.) secure, one-click access to their full codebase. Agents explore multiple design paths in parallel while Scott orchestrates a debate between them.\n\nScott then surfaces key divergences and lets builders choose the best options directly in the interface. Once aligned, your final design plan is shareable with your team, and fully portable to whatever tools you use to build.\n\n**🙏 Our Ask**\n\nIf you answer “yes” to any of the following, we would love your help:\n\n* **For Developers.** Rethinking the way software should be done in the era of coding agents?[ ](https://www.tryscott.ai/download)[Try Scott](https://www.tryscott.ai/apply) and let us know what you think.\n* **For Teams**. Does your team care deeply about incorporating coding agents into your system design review process? We've built an experience we are actively piloting with forward-thinking teams. Schedule time with us[ ](https://calendly.com/davidmaulick/30min)[here](https://calendly.com/d/ctfh-v6b-pst/scott-user-chat)!\n\n👉 Contact us at [founders@withjuno.dev](mailto:founders@withjuno.dev)\\\n👉 Follow us on X - [https://x.com/scott_ai\\\\](https://x.com/scott_ai%5C)\\_\n\n[**👬**](https://emojipedia.org/men-holding-hands) **The Team**\n\nDevin and David have known each other for over five years.\n\nDavid (CEO & Co-Founder) is an ex staff software engineer and engineering manager from Coinbase. Over the past 4 years, David has been focused on building and evangelizing eng platforms to help Coinbase product engineers move faster + scale Coinbase to the next billion users. When he left, the teams that he helped build/lead powered 95% of UI at Coinbase, 65% of Coinbase edge traffic and were used by more than 700 engineers daily. \n\nDevin (CTO & Co-Founder) is ex founding eng & head of mobile at Comun (Redpoint, Costanoa), KP Eng fellow, and consulting at Bain. At Comun, Devin was known for often landing projects slotted for multiple weeks in a single weekend. Stanford BS in CS, focus on AI.\\\n\\\nCheck out our Hackerhaus:\n\n![uploaded image](/media/?type=post&id=95166&key=user_uploads/1254494/9b9a736a-438a-441f-aa19-e7acb93856cd)\n\n",
        "url": "https://www.ycombinator.com/launches/Okw-scott-ai-agentic-workspace-for-software-spec-design",
        "votes": 122,
        "created_at": "2025-11-04T20:43:23.590Z"
      }
    ]
  },
  {
    "id": 30943,
    "name": "Aside",
    "slug": "aside",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2e9196c93cd4fc802b51eabcb6432760d1efd3fb.png",
    "website": "https://aside.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Aside is an AI browser that completes real work across the websites you already use. It can sign in through your browser, work inside email, dashboards, internal tools, docs, and spreadsheets, and keep going when a task takes minutes or hours.\r\n\r\nUnlike agents that depend on integrations, Aside uses the web the way you do. Browsing history becomes local memory, so it knows which tools and context matter. Its password manager lets agents autofill credentials without exposing secrets to the AI. Sensitive actions like payments, posts, and messages wait for your approval.\r\n\r\nWe achieved state-of-the-art on agentic browsing benchmarks, surpassing OpenAI and Anthropic's result- Aside ranked #1 across Mind2Web, Odyssey, bu-bench-v1.",
    "one_liner": "The browser built to do real work for you",
    "team_size": 8,
    "industry": "Consumer",
    "subindustry": "Consumer",
    "launched_at": 1760485553,
    "tags": [
      "SaaS",
      "Automation",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Fall 2025",
    "status": "Active",
    "industries": [
      "Consumer"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/aside",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/aside.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/showcase/asidehq",
    "x_url": "https://x.com/AsideAI",
    "fb_url": null,
    "cb_url": null,
    "github_url": "https://github.com/at-inc/",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2e9196c93cd4fc802b51eabcb6432760d1efd3fb.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [
      "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/b6937d01eda60304dd53f923c04c9412ae29df0e.png"
    ],
    "primary_partner": {
      "name": "Andrew Miklas",
      "url": "https://www.ycombinator.com/people/andrew-miklas"
    },
    "founders": [
      {
        "user_id": 1576589,
        "full_name": "Jun Kim",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder & CEO of Aside (YC F25) / founding member of Airbridge.io since age 17 ($30M ARR). crafted products from OS, DB to K-POP since my age 9.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/therne",
        "x_url": "https://x.com/hyojun_at",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4a08d34995961dc97330e3173e8d4dc547de9fdd.jpg"
      },
      {
        "user_id": 709934,
        "full_name": "Chanhee Lee",
        "title": "Founder/CPO",
        "founder_bio": "Co-founder, Aside (F25)\nFounding Engineer at Airbridge.io, helped scale the company from $0 to $30M ARR. Founded a non-profit organization backed by Microsoft at age 15.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/hiddenest",
        "x_url": "https://x.com/hiddnest",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1b87cc625fc41ae82630e443d124af836c7e0eea.jpg"
      },
      {
        "user_id": 2372908,
        "full_name": "Sanghun Lee",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder of Aside (F25) - Started coding at 14 and saw an app I built reach 1M+ downloads",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/dsa28s/",
        "x_url": "https://x.com/dora_lee_1344",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b484602d8f2dce50943829a2fc18f2d27f0733cf.jpg"
      }
    ],
    "jobs": [
      {
        "id": 100433,
        "title": "MTS - Founding Designer",
        "url": "https://www.ycombinator.com/companies/aside/jobs/Iw9ggf8-mts-founding-designer",
        "location": "San Francisco, CA, US / Remote",
        "type": "Full-time",
        "role": "Design",
        "role_type": "Product design",
        "salary_range": "$150K - $230K",
        "equity_range": "0.50% - 1.50%",
        "experience": "1+ years",
        "visa": "Will sponsor",
        "skills": [
          "TypeScript",
          "Figma"
        ]
      },
      {
        "id": 100434,
        "title": "MTS - Mobile Engineer (iOS)",
        "url": "https://www.ycombinator.com/companies/aside/jobs/JPoBOxV-mts-mobile-engineer-ios",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "iOS",
        "salary_range": "$160K - $300K",
        "equity_range": "0.50% - 1.50%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "iOS",
          "Swift",
          "Distributed Systems",
          "Software Architecture"
        ]
      },
      {
        "id": 100863,
        "title": "GTM",
        "url": "https://www.ycombinator.com/companies/aside/jobs/2CqWz53-gtm",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$100K - $180K",
        "equity_range": "0.25% - 0.75%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 111323,
        "title": "MTS - Agent Harness",
        "url": "https://www.ycombinator.com/companies/aside/jobs/hXg7r91-mts-agent-harness",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$160K - $300K",
        "equity_range": "0.50% - 1.50%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "TypeScript",
          "Distributed Systems",
          "Software Architecture",
          "Evals",
          "AI Agents"
        ]
      },
      {
        "id": 111489,
        "title": "MTS - Product",
        "url": "https://www.ycombinator.com/companies/aside/jobs/rlEnHD9-mts-product",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$160K - $300K",
        "equity_range": "0.50% - 1.50%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "TypeScript"
        ]
      }
    ],
    "news": [
      {
        "title": "With ChatGPT Atlas shutting down, here are the AI browsers people actually use - 9to5Mac",
        "url": "https://9to5mac.com/2026/07/10/with-chatgpt-atlas-shutting-down-here-are-the-ai-browsers-people-actually-use/",
        "date": "Jul 10, 2026"
      },
      {
        "title": "As the browser wars heat up, here are the hottest alternatives to Chrome and Safari in 2026 | TechCrunch",
        "url": "https://techcrunch.com/2026/05/30/as-the-browser-wars-heat-up-here-are-the-hottest-alternatives-to-chrome-and-safari-in-2026/",
        "date": "May 30, 2026"
      },
      {
        "title": "The Top Startups To Watch From Y Combinator’s Fall 2025 Batch",
        "url": "https://www.forbes.com/sites/dariashunina/2025/11/13/the-top-startups-to-watch-from-y-combinators-fall-2025-batch/",
        "date": "Nov 13, 2025"
      }
    ],
    "launches": [
      {
        "id": 95050,
        "title": "Aside: Live answers for enterprise tech sales",
        "tagline": "We help tech sales reps answer technical questions during calls.",
        "body": "**TL;DR** [Aside](https://asidehq.com/?utm_source=launch_yc) listens to your sales calls and surfaces answers from your docs, Slack, and past calls, helping tech sales reps answer technical questions.\n\n![uploaded image](/media/?type=post&id=95050&key=user_uploads/1576589/8b08bb03-388b-48f9-a9c5-198a0329db44)\n\nHey 👋, we're Jun, Chanhee, and Sanghun, the founders of [Aside](https://asidehq.com/?utm_source=launch_yc).\n\nEveryone’s using AI for sales these days - emails, outreach, everything - except the part that actually matters: the call.\n\n## ❌ Problem: The Knowledge Gap in Sales\n\nSales reps often freeze when faced with technical questions. Like:\n\n> Are HSTS or strict transport policies enforced during data transmission?\n\nMost say, _“Let me get back to you”,_ and the deal cools off. That’s why teams burn $60K+ a year on coaching, mock calls, and LMS exams. I’ve paid that bill too.\n\nBut onboarding drags. Products change fast. Tech-savvy AEs are rare.\n\nWhat if your reps could pull the right answers instantly– straight from your best calls, API docs, or Slack threads?\n\n## ✨ Solution: Let your reps cheat on sales calls\n\n[Aside](https://asidehq.com/?utm_source=launch_yc) listens to your sales calls and surfaces real-time answers pulled from your docs, HubSpot, or past calls. It's like pressing **𝚌𝚝𝚛𝚕+𝚟** on your company’s knowledge into every rep – so anyone can sound like your best rep.\n\n**_🎬 Watch our [launch video](https://youtu.be/ZZVn6w0o8jQ) 👇_**\n\n---\n\n---\n\n# How it works\n\n\\*\\*🔎 Get answers from your docs, Slack, and past winning calls.\\*\\*\\\nWhen a tough question hits, just click **“How can I answer?”** - the right answer lands in 800ms. No guessing, no “let me get back to you”.\n\n![uploaded image](/media/?type=post&id=95050&key=user_uploads/1576589/873df5e6-aeb0-4bc6-bc89-ff00031ecf4c)\n\n📝 **Live coaching that catches what you miss**\\\nWhen you miss a key pain point, Aside flags it live — before the deal goes cold. It nudges what to ask next and coaches you using your playbook — BANT, SPICED, whatever your team runs on.\n\n![uploaded image](/media/?type=post&id=95050&key=user_uploads/1576589/667d0f76-a05a-46ff-9d2f-4fa8a781f218)\n\n💬 **Preload your cheatsheets as Live Cards**\\\nTurn your best answers into in-call cards that pop up right when you need them. No more flipping tabs — your best answers, ready the moment the question hits.\n\n![uploaded image](/media/?type=post&id=95050&key=user_uploads/1576589/d9b7fd18-89bb-418d-a733-85713ab3f4a1)\n\n**🎓 Coaching feedback, remembered by AI**\\\nAfter the call, Aside reviews what happened, gives you feedback, and turns it into live suggestions for the next one - so you never repeat the same mistake.\n\n![uploaded image](/media/?type=post&id=95050&key=user_uploads/1576589/efb28b23-26ec-49b4-a50e-a66616439ca6)\n\n# Our story\n\nJun and Chanhee were the founding engineers of [Airbridge.io](http://Airbridge.io). Jun worked with 50+ reps as a solutions consultant - the person who answers technical questions on calls. So basically, we're replacing our past selves with AI!\n\n# Ask\n\n* Try it: [AsideHQ.com](https://asidehq.com)\n* Know any B2B tech startups that are actively hiring new reps? Intro us!\n* Been using sales coaching tools? Reach out to us! (_we have a special offer for you_)\n\n## Reach us\n\nJun - [jun@asidehq.com](mailto:jun@asidehq.com) / [LinkedIn](https://www.linkedin.com/in/therne/) / [X](https://x.com/hyojun_at) / 628-529-8098\\\nChanhee - [chanhee@asidehq.com](mailto:chanhee@asidehq.com) / [LinkedIn](https://linkedin.com/in/hiddenest) / [X](https://x.com/hiddnest) - 628-529-6213",
        "url": "https://www.ycombinator.com/launches/Oj4-aside-live-answers-for-enterprise-tech-sales",
        "votes": 180,
        "created_at": "2025-10-31T00:30:14.965Z"
      }
    ]
  },
  {
    "id": 30945,
    "name": "Zalos",
    "slug": "zalos",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e1e6ee7d8a3b596506042ea8802d90c9c4292a17.png",
    "website": "https://www.zalos.ai/",
    "all_locations": "London, England, United Kingdom",
    "long_description": "Zalos is the Finance Automation Workbench for enterprise finance teams.\r\n\r\nZero Integrations | Transparent Decisioning | Outcome-based Pricing\r\n\r\nLearn more at www.zalos.ai/contact-us\r\n\r\nZalos AI Workers automate processes with improved accuracy, controls & auditability, using a Finance-specific agent harness & skill library.\r\n\r\nBacked by Y Combinator, 14 Peaks, Cohen Circle and strategic angels such as CFO Fedex, Board Member TA Associates, COO Deel and more.\r\n\r\nHire Zalos AI workers such as:\r\n• Zalos AI Staff Accountant\r\n• Zalos AI Billing Analyst\r\n• Zalos AI AP Analyst\r\n• Zalos AI Treasury Manager\r\n\r\nAnd more. Discuss your enterprise finance transformation at www.zalos.ai/contact-us",
    "one_liner": "Hire Zalos AI workers to run your finance department",
    "team_size": 10,
    "industry": "B2B",
    "subindustry": "B2B -> Finance and Accounting",
    "launched_at": 1759103907,
    "tags": [
      "Fintech",
      "Finance",
      "Enterprise",
      "Billing",
      "AI Assistant"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Fall 2025",
    "status": "Active",
    "industries": [
      "B2B",
      "Finance and Accounting"
    ],
    "regions": [
      "United Kingdom",
      "Europe"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": [
      {
        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "Finance processes do not live in one system. They run across ERPs, portals, spreadsheets and inboxes that do not connect cleanly. People move data and resolve the same exceptions by hand every month.\r\n\r\nZalos AI Workers operate those systems the way a finance team does, with tighter controls, accuracy and auditability, using a finance-specific agent harness &amp; skill library.\r\n\r\n**WHY FINANCE TEAMS CHOOSE ZALOS** \r\n\r\n1\\. ZERO SYSTEM INTEGRATION \r\n\r\nAI Workers log in and use your systems through the user interface, as your team does. There are no API integrations to build and no software to replace. \r\n\r\n2\\. TRANSPARENT DECISIONING \r\n\r\nDecisions follow deterministic rules, not model judgement. Decision logic, inputs and controls are traceable and ready for audit, with linked workbooks and timestamped run logs behind every entry. \r\n\r\n3\\. OUTCOME-BASED PRICING\r\n\r\nROI secured by Zalos solving last-mile work, then customer starts subscription when criteria met."
      }
    ],
    "url": "https://www.ycombinator.com/companies/zalos",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/zalos.json",
    "year_founded": 2025,
    "city": "London",
    "country": "GB",
    "linkedin_url": "https://www.linkedin.com/company/zalos/",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e1e6ee7d8a3b596506042ea8802d90c9c4292a17.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [
      "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/f7e524b37043948e82ce17c31ac512c4d8af84b5.png"
    ],
    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
    },
    "founders": [
      {
        "user_id": 42612,
        "full_name": "William Fairbairn",
        "title": "Founder/CEO",
        "founder_bio": "William was UK General Manager at Agicap, one of the leading ‘Office of the CFO’ startups in Europe (valued at ~$800m).\n\nHe previously was in McKinsey Tech practice, and built & exited a B2B SaaS.\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/willfairbairn/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ec080db6feb17e7dcea5af731595718d513c4bbe.jpg"
      },
      {
        "user_id": 2531337,
        "full_name": "Hung Hoang",
        "title": "Founder/CTO",
        "founder_bio": "Hung built Apple Pay products like Buy Now Pay Later, serving millions daily, and worked on AI initiatives at Apple and other AI startups (Twin.so, Gitguardian).",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/hxuanhung/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a54a8145817c1b3a9f8101446d01fa70ed01f395.jpg"
      }
    ],
    "jobs": [
      {
        "id": 89202,
        "title": "Founding Product Engineer",
        "url": "https://www.ycombinator.com/companies/zalos/jobs/MbpksyV-founding-product-engineer",
        "location": "London, England, GB",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "£70 - £130 GBP",
        "equity_range": "0.20% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 95332,
        "title": "Senior AI Engineer",
        "url": "https://www.ycombinator.com/companies/zalos/jobs/q9x1zkX-senior-ai-engineer",
        "location": "London, England, GB",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "£70 - £140 GBP",
        "equity_range": "0.20% - 1.50%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "Zalos Raises $3.6M To Bring Computer Agents To The CFO's Office",
        "url": "https://www.forbes.com/sites/ilonalimonta-volkova/2026/03/24/zalos-raises-36m-to-bring-computer-agents-to-the-cfos-office/",
        "date": "Mar 24, 2026"
      }
    ],
    "launches": [
      {
        "id": 94182,
        "title": "⚡ZALOS: Computer Agents for Finance Operations",
        "tagline": "Automate repetitive Finance workflows like categorization & reconciliation, without changing Finance systems!",
        "body": "### **Eliminate your Finance Operations grunt work - NOW!**\n\n**Zalos Computer Agent:**\n\n⚡Logs into existing systems (e.g., ERP, Accounting, other CFO tools)\n\n⚡Automates Finance processes (e.g., reconciliation, categorization, form filling)\n\n⚡Uploads & submits in your system\n\nRequest demo here:[ ](https://bit.ly/4gJalwn)https://www.zalos.ai/contact-us\n\n**Our ask:** Send our website / YouTube to 5 friends in Midmarket / Enterprise Finance & Operation teams - thank you!\n\nhttps://youtu.be/tx5ymY7DZEU?feature=shared\n\n### **Why IS THIS?**\n\n# **The Blockers ➜ Your Finance Systems:**\n\nFinance Operations is buried in repetitive tasks, driving:\n\n❌ **Lack of financial visibility** for decision-making\n\n❌ **Wasted time** by in-house or outsourced teams\n\n❌ **Mistakes** and **delays** from human-driven processes\n\nBarriers to FinOps automation have included:\n\n🚨 **Legacy ERPs** with limited AI\n\n🚨 **Authentication-protected** websites & portals\n\n🚨 **Too many Finance Systems** that don’t speak to one another\n\nIt doesn’t have to be this way.\n\n# **The Breakthrough ➜ Zalos:**\n\nZalos Agents run your rule-based processes, using your existing Finance applications:\n\n⭐ Our agents **automate processe**s based on **simple instructions** (e.g., Screen Recording, PDFs)\n\n⭐ **Native handling of ERPs** or other applications (e.g., 2FA, Captcha)\n\n⭐ **Superior Finance & Accounting task performance**, including leveraging our **FinOps libraries** (e.g., System Access, Categorization, Reconciliation, etc.)\n\n![uploaded image](/media/?type=post&id=94182&key=user_uploads/42612/798b755c-d5bd-4b10-be1a-dd27ee7a41ff)\n\n⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻\n\n# **Customer story:**\n\n**FROM:** In the Bay Area, a Finance Manager was wasting 4 days (!) per month:\n\n✖️ Downloads transactions from Corporate Credit Cards & legacy Banks\n\n✖️ Uploads into NetSuite and manually categorizes 100s of transactions\n\n**USING ZALOS:** Finance Manager schedules ‘run process’ weekly:\n\n✔️ Zalos handles 2FA to download & submit required transactions\n\n✔️ Zalos operates NetSuite to categorize &gt;60% outstanding transactions\n\nNo browser required: Zalos works silently in the background, continuously improving itself.\n\nGaining 1 day per week was transformational. The Finance Manager could:\n\n🟪 Reduce financial risks with closer inspection (e.g., debt covenants)\n\n🟪 Catch cash leakages by spotting suppliers being paid at generous terms\n\n🟪 Be a strategic partner to the CEO & business with better analysis\n\n⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻\n\nZalos **transforms** your Finance Operations:\n\n☑️ **Scale without headcount** - don’t let Operations teams be a bottleneck\n\n☑️ **Smarter every day**, with evals & RL-finetuning driving a self-performing system\n\n☑️ **Built for Enterprise-grade security** and screen records every automation for audit\n\nRequest demo here:[ ](https://bit.ly/4gJalwn)https://www.zalos.ai/contact-us\n\n⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻\n\n# The Team\n\n**William** was UK General Manager at Agicap, one of the largest ‘Office of the CFO’ startups in Europe, after working at McKinsey. He previously built & sold a bootstrapped B2B SaaS.\n\n**Hung** built Apple Pay products like Buy Now Pay Later, serving millions daily, and led on other AI initiatives at Apple, alongside working for other great AI startups.\n\n## **⚔️ We’re on a war path to automate repetitive Finance tasks⚔️**\n\n➡➡ Request demo here:[ ](https://bit.ly/4gJalwn)https://www.zalos.ai/contact-us\n\n📩📩 **Questions?** Email me at: [will@zalos.ai](mailto:will@zalos.ai)\n\n🙏🙏 **Our ask:** Send our website / youtube video to 5 friends in Finance / Operations - thank you!",
        "url": "https://www.ycombinator.com/launches/OV4-zalos-computer-agents-for-finance-operations",
        "votes": 324,
        "created_at": "2025-09-29T14:00:21.640Z"
      }
    ]
  },
  {
    "id": 30946,
    "name": "Sourcebot",
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    "website": "https://www.sourcebot.dev/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Sourcebot is an open source code understanding platform for massive codebases. We’re used by thousands of engineers in some of the largest companies in the world, including NVIDIA, Red Hat, Wikimedia, and Arista Networks.\r\n\r\nUnderstanding code, not writing it, is the primary bottleneck for large engineering teams. For developers, this means onboarding onto complex codebases faster. For AI agents, it means getting the necessary code context to minimize hallucinations and maximize cohesion within the wider codebase.\r\n\r\nSourcebot solves this by giving developers and AI agents the ability to regex search across millions of lines of code instantly, as well as ask questions across thousands of repos using any flagship reasoning model. Being open source and on-prem, we can get deployed in enterprises within minutes before other tools even get approval.\r\n\r\nWe met a decade ago at McGill University and have been building together full time for over 2 years. We’ve personally felt the pain of understanding large codebases while working at Microsoft, EA, Ubisoft, Google, and Meta.",
    "one_liner": "Helping humans and AI agents understand massive codebases",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1759606313,
    "tags": [
      "Developer Tools",
      "Open Source",
      "AI"
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
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    "status": "Active",
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/sourcebot",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/sourcebot.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/sourcebot",
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    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
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    "founders": [
      {
        "user_id": 1449228,
        "full_name": "Michael Sukkarieh",
        "title": "Founder/CEO",
        "founder_bio": "Cofounder at Sourcebot. Previously worked on the largest game engines in the world at Ubisoft and EA, the worlds first cloud-first game engine at Google, and John Carmack's original Oculus OS team at Meta.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/msukkari",
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      {
        "user_id": 1454838,
        "full_name": "Brendan Kellam",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder at Sourcebot. Previously built core game streaming tech on the Xbox Cloud Gaming team, worked on search inside of Visual Studio, and was the youngest engineer who helped ship Far Cry 5 at Ubisoft. I'm originally from Toronto and attended McGill University.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/brendan-kellam",
        "x_url": "https://x.com/bshizzle28",
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      {
        "id": 96308,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/sourcebot/jobs/WVbwFeV-founding-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$140K - $200K",
        "equity_range": "0.50% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": []
      },
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        "id": 96310,
        "title": "Chief of Staff",
        "url": "https://www.ycombinator.com/companies/sourcebot/jobs/tl38yrA-chief-of-staff",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$120K - $200K",
        "equity_range": "0.10% - 1.00%",
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      {
        "id": 94687,
        "title": "Sourcebot: The Code Understanding Platform",
        "tagline": "Helping developers and AI agents understand massive codebases.",
        "body": "**TL;DR**: Sourcebot is an open source code understanding platform. It’s used by thousands of engineers in some of the largest companies in the world (including **NVIDIA, Red Hat, Wikimedia, and Arista Networks)** to help developers and AI agents understand massive codebases.\n\n[https://youtu.be/YJIi-gcAM3g](https://youtu.be/YJIi-gcAM3g%5C)\n\n\\\n**The problem:**\n\n* Large engineering teams manage **millions of lines of scattered and undocumented code**.\n* Individual engineers must regularly find and understand code across this complex environment to do their job. Existing tooling to do so is **inadequate, rudimentary, and often nonexistent.**\n* **AI agents have this problem too.** They need this context to provide usable results within an enterprise environment\n\n**The solution:**\n\nSourcebot solves this by providing the following tools:\n\n* **Code Search -** instantly search across millions of lines of code. Supports regex, boolean logic, and repo/file/branch filters.\n\n![uploaded image](/media/?type=post&id=94687&key=user_uploads/1449228/70c891b0-cfec-4ff6-b070-fc1f212c29da)\n\n* **Ask -** ask questions in natural language across thousands of repos. Like asking in Cursor, but across all your repos and in a web app with inline citations.\n\n![uploaded image](/media/?type=post&id=94687&key=user_uploads/1449228/b97e4beb-83cb-4d8d-b6b0-ed53a2a973c8)\n\n* **MCP -** gives both of the above tools to AI agents, allowing them to fetch context from code across your organization.\n\nAdditional features:\n\n* We integrate with any **code host** (e.g., GitHub, GitLab, BitBucket, etc.) as well as any **LLM model** (e.g., OpenAI, Anthropic, Bedrock, etc.). Bring your own LLM key.\n* Sourcebot is **open source** and **self-hosted** - none of your code leaves your deployment. Deploy and index all your repos in minutes with a single docker container.\n* We have a community edition that’s **free to use**, and a paid enterprise edition with advanced navigation features, analytics, and security/compliance features.\n\n**Our story:**\n\nBrendan and I met 10 years ago during our first week at McGill University 🇨🇦. We were both into game engines, which led us to work at Ubisoft Montreal on the largest game engines in the world. Afterwards, we worked on some of the most complex systems out there: Visual Studio at Microsoft, a cloud-first game engine at Google, VR operating systems at Meta, and cloud-streaming infrastructure at Xbox. Ramping up and understanding these systems was always a long, painful process - which is what led us to build tools to help developers understand this complexity.\\\n\\\nLearn more here: https://www.sourcebot.dev/\n\n![uploaded image](/media/?type=post&id=94687&key=user_uploads/1449228/4ef682b8-0ac6-48a4-937d-8a64d62f34d3)\n\n",
        "url": "https://www.ycombinator.com/launches/OdD-sourcebot-the-code-understanding-platform",
        "votes": 54,
        "created_at": "2025-10-16T15:49:09.018Z"
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    "name": "Kalpa Labs",
    "slug": "kalpa-labs",
    "former_names": [],
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    "website": "https://kalpalabs.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We're building the next frontier of speech models. Generalist speech models that unlock in-context learning & strong instruction following for speech models alongside unifying existing speech capabilities like speech to text, text to speech, voice cloning, etc.",
    "one_liner": "Scaling Generalist Speech models",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1759705278,
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/kalpa-labs",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/kalpa-labs.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/kalpalabs/",
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    "primary_partner": {
      "name": "Pete Koomen",
      "url": "https://www.ycombinator.com/people/pete-koomen"
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    "founders": [
      {
        "user_id": 1440495,
        "full_name": "Prashant Shishodia",
        "title": "Founder/CEO",
        "founder_bio": "Pushing frontier of speech models @ KalpaLabs. Previously led full stack ML @ Google scaling to billions of queries / month. ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/pshishodia",
        "x_url": "https://x.com/pshishodiaa",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e4625372263ed9fc57602c4835230e0490eaabca.jpg"
      },
      {
        "user_id": 2039936,
        "full_name": "Gautam Jha",
        "title": "Founder/CTO",
        "founder_bio": "Pushing frontier of speech models @ KalpaLabs. Previously built nanoseconds latency software at HFTs.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/gautam-jha37/",
        "x_url": "https://x.com/gautam_jha_37",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/91237d0933031f093d9700e86de7a68a4b6682b6.jpg"
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    ],
    "jobs": [
      {
        "id": 100411,
        "title": "Founding ML Research Engineer",
        "url": "https://www.ycombinator.com/companies/kalpa-labs/jobs/aGLio5O-founding-ml-research-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$180K - $250K",
        "equity_range": "0.50% - 1.00%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": [
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    ],
    "news": [
      {
        "title": "Why the Next Leap in Speech AI Comes from Kalpa Labs",
        "url": "https://analyticsindiamag.com/ai-startups/why-the-next-leap-in-speech-ai-comes-from-kalpa-labs/",
        "date": "Sep 10, 2025"
      }
    ],
    "launches": [
      {
        "id": 95422,
        "title": "Kalpa Labs: Scaling Generalist Speech Models",
        "tagline": "Scaling Foundational speech models for In-context Learning & Instruction Following",
        "body": "# TL;DR\n\nWe’re building a **generalist speech model** - one system that does speech-to-text, text-to-speech, speech-in/speech-out reasoning, and cross-modal tasks with **LLM-level steerability and context** **engineering**. See the demo of [emergent capabilities](https://www.notion.so/2a83ca000c7780a7be71ed49447a882d?source=YC).\n\n![Video](https://youtu.be/b0gAEsp3YdM)\n\n# Problem\n\nToday’s speech stack is fragmented. You need different models, and vendors for STT, TTS, voice design, conversational agents, dubbing, even music. That **“Curse of Specialization”** creates brittle workflows, poor context carryover, and zero “system-prompt” steerability. Meanwhile, LLMs proved that one generalist model + in-context learning [unlocks entirely new use cases](https://arxiv.org/abs/2005.14165).\n\n**What’s missing in current speech models**\n\n1. **Contextual awareness:** They ignore emotional/prosodic cues and can’t adapt delivery to spoken context history. Their response is the same whether the user says the sentence while crying, laughing, or in a banal tone.\n2. **Instruction following:** There’s no real analogue to LLM system prompts like _“Speak slower for older callers” “Pronounce ‘WORA’ like ‘wah-rah’” “Use a neutral US accent unless user is in India”_.\n3. **Generalism:** Separate models for STT/TTS/music/voice cloning make cross-specialization tasks impossible. Example: _“sing a song in my voice with the following lyrics and the tone from this audio clip”_.\n\nWe’re disciples of [Sutton’s Bitter Lesson](https://www.cs.utexas.edu/~eunsol/courses/data/bitter_lesson.pdf): performance eventually comes from scaling compute, data, and simple, general methods. We believe speech is where text was in 2019 - constrained by small models, fixed task boundaries, and narrow post-training. The upside is to do for speech what GPT-3/ChatGPT did for text: **one model, in-context learning, and steerability**.\n\nAudio tokenization (RVQ) and decoding stacks are ripe for redesign - big efficiency wins are still on the table.\n\n# What’s hard & what we changed\n\nAudio is token-hungry. With typical RVQ, 1s of audio ≈ 100–400 tokens. Flattened token streams like [Orpheus](https://huggingface.co/canopylabs/orpheus-3b-0.1-ft) cap useful context that consumes 8K tokens to generate 90s of audio. Approaches like [CSM-1B](https://huggingface.co/sesame/csm-1b) help with context but still decode 32+ audio tokens per step, throttling inference.\n\nWe’ve removed the long-audio bottleneck, making audio roughly as cheap to train on as text while preserving long-range context. Practically, that means, you’ll be able to generate hours of audio in one-shot and use speech models with very long interleaved text and audio system prompts.\n\n# Our Progress\n\nWe’ve pretrained speech models from 800M to 4.8B params on 2M hours of mixed-domain audio. \\\n\\\n**Cost Efficiency**: As a result of our efficient architecture, our 800M parameter model took less than $1000 to train. For a comparison, Kokoro-82M while being 10x smaller took $1000 to train on 1000x lesser data.\n\n# Emergent Behavior\n\nOur larger base models already show visible signs of emergent behaviour. We describe here, some of these behaviours - but the extent of such emergent capabilities is still under investigation.\n\nPlease checkout the audios and comparision with ElevenLabs V3 [on notion.](https://www.notion.so/2a83ca000c7780a7be71ed49447a882d?source=YC)\n\n**Disfluency & repetition handling**\\\nText: _“This is a a sentence we want our speech model to, to speak.”_\n\n**Contextual identity/accents**\\\n“I am a software engineer living in _Bangalore_.” → natural Indian English\\\n“I just moved to _Shanghai_ for a new role.” → adapts toward Chinese-English prosody\n\n\\\n**Note:** that there is no hardcoded voice switch; this emerges from context.\n\n**Prosodic context awareness without explicit tags**\\\n“I said we could _try only once_.”\\\n“I said we could _ONLY_ try once.”\\\n“_I_ said we could _ONLY_ try _ONCE_?”\n\n\\\nStress and intonation match intent without explicit tags like _&lt;laugh&gt;, &lt;gasp&gt;, &lt;surprised&gt;_\n\n**Voice diversity**\n\nThese base models can mimic a wide range of speakers/accents beyond a fixed dropdown of voices.\n\n**What we’re building**\n\nA single speech generalist you can steer like an LLM:\n\n* Speech-in / speech-out with system prompts and audio examples “adopt this tone; pronounce these domain terms like this”\n* Generalist Model: STT, TTS, conversational agents, dubbing, and cross-specialization (e.g., “sing this verse in my voice,” “explain this chart out loud in a calm tone”).\n\nWe’re solving this by\n\n1. **Scale**: keep pushing model size, data diversity, and post-training task complexity.\n2. **Align**: instruction-following for speech - system prompts + audio-in-context.\n3. **Distill**: real-time deployment targets with graceful latency/quality trade-offs.\n\n# Our Asks\n\n* Have a speech use case that current models fail at? Tell us, we’ll try our best to solve your edge cases.\n* Running speech in production? and have strong opinions on what current speech models do right or wrong. We would love your opinions. Coffee’s on us.\n* Compute partners: If you can offer clusters ≥128×B200, we’re eager to collaborate.\n* Early pilots: If you want to try out this models in early access and help us navigate the future of speech models - we’d love to chat.\n\nYou can reach out to us on \\\nEmail: [founders@kalpalabs.ai](mailto:founders@kalpalabs.ai)\\\nX : [Prashant](https://x.com/pshishodiaa) | [Gautam](https://x.com/JhaGauti) | [KalpaLabs](https://x.com/KalpaLabsAI)\\\nLinkedin: [Prashant](https://www.linkedin.com/in/pshishodia/) | [Gautam](https://www.linkedin.com/in/gautam-jha37/) | [KalpaLabs](https://www.linkedin.com/company/kalpalabs/)\n\n---\n\n# About us\n\n* **Prashant** led full-stack ML for Google Assistant; trained/evaluated models and scaled smaller Gemini variants to billions of queries/month.\n* **Gautam** built nanosecond-latency infrastructure for high-frequency trading.",
        "url": "https://www.ycombinator.com/launches/Op4-kalpa-labs-scaling-generalist-speech-models",
        "votes": 68,
        "created_at": "2025-11-11T20:09:18.793Z"
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    "id": 30960,
    "name": "Metorial",
    "slug": "metorial",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7d6cf9656ff81c358bc8acc1f8b0221e2f963a06.png",
    "website": "https://metorial.com",
    "all_locations": "Vienna, Vienna, Austria; Remote",
    "long_description": "Metorial gives every employee, agent, and AI client in your company one place to connect tools and skills. Governance, access control, and tracing included.",
    "one_liner": "Agentic infrastructure to power AI-native companies.",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1759440132,
    "tags": [],
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    "isHiring": true,
    "nonprofit": false,
    "batch": "Fall 2025",
    "status": "Active",
    "industries": [
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    "regions": [
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      "Europe",
      "Remote",
      "Fully Remote"
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    "stage": "Early",
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    "question_answers": [
      {
        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "Tobias and Wen have been friends for over 10 years. They met in a top technical high school in Austria where they worked on many projects together. Later, they co-lead the technical development at Valicit, a ticketing startup based in Abu Dhabi."
      },
      {
        "question": "What's the history of your company from getting started until the present day? What were the big inflection points?",
        "answer": "When MCP was released, we quickly understood its value in offering a natural language interface for LLMs to execute external tools autonomously.\r\n\r\nBut when we tried to take MCP beyond client-side apps like Cursor, setting up the infra for security and scaling turned out to be a massive time sink.\r\n\r\nThatʼs when it clicked: developers like us need a turn-key solution to plug MCP into their agents.\r\n\r\nSo we pivoted from hacking infra together to building Metorial: the Vercel for MCP."
      },
      {
        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "Integrations transform LLMs from simple chatbots into agents that can perform real tasks.\r\n\r\nRecently, MCP has become the standard for connecting AI agents to external tools.\r\n\r\nMCP works great locally, but production deployments are painful.\r\n\r\nRunning MCP servers in production means managing Docker configs, handling OAuth flows, and debugging issues without proper observability.\r\n\r\nDevelopers want to ship agents now, not build infrastructure for months."
      }
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    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/metorial.json",
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    "city": "Vienna",
    "country": "AT",
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    "cb_url": "https://crunchbase.com/organization/metorial",
    "github_url": "https://github.com/metorial",
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    "primary_partner": {
      "name": "Andrew Miklas",
      "url": "https://www.ycombinator.com/people/andrew-miklas"
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    "founders": [
      {
        "user_id": 851191,
        "full_name": "Karim (Wen) Rahme",
        "title": "Founder/CEO",
        "founder_bio": "Founder & CEO @ Metorial",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/karim-rahme",
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      {
        "user_id": 2756424,
        "full_name": "Tobias Herber",
        "title": "Founder/CTO",
        "founder_bio": "Building Metorial, the integration layer for agentic AI. 3x founder. IEEE best paper author. Background in AI, distributed systems, and system software. I strive to build products that make difficult problems simple.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/tobias-herber/",
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        "id": 86643,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/metorial/jobs/WPkk7Yk-founding-engineer",
        "location": "Remote",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$100K - $180K",
        "equity_range": "1.00% - 2.00%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": [
          "Amazon Web Services (AWS)",
          "Go",
          "Rust",
          "TypeScript",
          "Distributed Systems"
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      },
      {
        "id": 86644,
        "title": "Backend Engineer",
        "url": "https://www.ycombinator.com/companies/metorial/jobs/7617xcj-backend-engineer",
        "location": "Remote",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$100 - $165",
        "equity_range": "1.00% - 2.00%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
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        "id": 86645,
        "title": "Infrastructure/DevOps Engineer",
        "url": "https://www.ycombinator.com/companies/metorial/jobs/FdUgKuI-infrastructure-devops-engineer",
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        "type": "Full-time",
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      {
        "id": 95390,
        "title": "Magic MCP by Metorial - 600+ integrations for vibe coding, zero config required",
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        "body": "_Hey everyone! We’re Wen and Tobias and we build Metorial -- the enterprise-grade infra layer for MCP._\n\n### **TL;DR**\n\nMagic MCP let’s you connect any MCP client, like Cursor, Claude Code, or Claude Desktop, to more than 600 integrations ranging from Sentry or Linear all the way to Salesforce or QuickBooks.\n\n![uploaded image](/media/?type=post&id=95390&key=user_uploads/2756424/e30d0da9-7fc1-41dc-8673-6f49d6887c22)\n\n# **The Problem**\n\nMetorial provides infra for deploying, connecting to, and securing MCP servers for developers and enterprises. We are working with startups, unicorns, and fortune 500 companies to let them use MCP reliably and effectively. Metorial let’s them get AI agents into production in hours, not weeks.\n\nYet, many of our customers still struggle with the basics, like integrating MCP servers into Cursor and Claude Code. Today, we’re solving that.\n\n# **The Solution**\n\nMagic MCP let’s you connect vibe coding tools to 600+ integrations (you can even create your own MCP servers and deploy them to Metorial) -- zero configuration required.\n\nMagic MCP uses the same infra that already powers thousands of MCP server deployments. You get enterprise-grade security, scaling, and reliability, sub-second boot up times, and full observability.\n\n# **A Bit More About Metorial**\n\nWe handle all of the complicated parts of MCP so our customers get to enjoy the good parts. Enterprises love us because we solve security, scalability, and access control for MCP. Developers and startups love us because they can deploy MCP servers on our platform in just 3 clicks -- we even handle OAuth. Our SDKs let them connect their agents to MCP servers on Metorial in a single function call. Our serverless runtime is the only one that solves security for multi-tenancy, supports sub-second cold start, and does stateful hibernation for long-running connections.\n\n### **The Ask**\n\n**Struggling with MCP or building agents that need integrations?**\n\nTry [**metorial.com**](http://metorial.com). We can help you integrate Metorial or Magic MCP and add any MCP servers you need.\n\nBook a call: [**cal.com/karim-rahme/launch-yc**](https://cal.com/karim-rahme/launch-yc)\n\nEmail us: [**founders@metorial.com**](mailto:founders@metorial.com)",
        "url": "https://www.ycombinator.com/launches/OoY-magic-mcp-by-metorial-600-integrations-for-vibe-coding-zero-config-required",
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        "created_at": "2025-11-12T15:44:18.214Z"
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        "title": "Metorial: Vercel for MCP",
        "tagline": "We help devs connect their AI agents to external tools and data via MCP.",
        "body": "# **TL;DR**\n\nMetorial gets AI agents into production in hours, not weeks. 600+ MCP servers, ready to deploy in just three clicks.\n\nWe're the **only** serverless MCP platform that can handle hibernation with sub-second cold starts as well as OAuth, enterprise-grade security, and per-user isolation.\n\nStarred by more than 3000 GitHub devs. Used by engineers at FAANG, the Big 4, and American Express. Currently piloting with leading startups and Fortune 500s.\n\n![uploaded image](/media/?type=post&id=94458&key=user_uploads/851191/b6d82eac-49d7-47f6-b4ab-5248ad638c76)\n\n### The Problem\n\nThe AI space is evolving rapidly; companies can’t afford to wast time building integrations. MCP has become the standard for connecting LLMs to external tools, but deploying MCP in production is painful. Running MCP servers yourself means managing Docker configs, handling OAuth flows, and debugging without observability. Writing serious integrations manually wastes weeks in digging through API documentation. **Developers want to ship agents now, not build infrastructure for months.**\n\n### Our Solution\n\nDeploy any of our 600+ MCP servers in just three clicks -- we even handle OAuth. Our SDKs let you connect your agents to the hosted MCP servers in a single function call. Our serverless runtime solves scaling and security issues for multi-tenant deployments by providing sub-second cold starts with per-user isolation.\n\nBuilding a complex agent with Metorial looks as simple as this:\n\n![uploaded image](/media/?type=post&id=94458&key=user_uploads/851191/33d8cc5b-5536-498a-ab88-987be2de7ebd)\n\n### Demo\n\n[https://youtu.be/\\_hAvxzTCLyQ](https://www.youtube.com/watch?v=_hAvxzTCLyQ)\n\n### Our Story\n\nWhen MCP was released, we quickly understood its value in offering a natural language interface for LLMs to execute external tools autonomously. But when we tried to take MCP beyond client-side apps like Cursor, setting up the infra for security, scaling, and per-user isolation turned out to be a massive time sink. That’s when it clicked: developers like us need a turn-key solution to plug integrations into their agents. So we pivoted from hacking infra together to building Metorial.\n\n### The Ask\n\n**Building AI agents or using MCP?**\n\nTry [**metorial.com**](http://metorial.com). We can help you integrate Metorial and add any MCP servers you need.\n\nBook a call: [**cal.com/karim-rahme/launch-yc**](https://cal.com/karim-rahme/launch-yc)\n\nEmail us: [**founders@metorial.com**](mailto:founders@metorial.com)",
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        "created_at": "2025-10-07T23:51:41.191Z"
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        "body": "If you are a trusts & estates attorney, RIA, fintech, or family office interested in Sava, reach us at [founders@savahq.com](mailto:founders@savahq.com)",
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    "year_founded": 2023,
    "city": "Los Angeles",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/icarusindustries",
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      "url": "https://www.ycombinator.com/people/garry-tan"
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        "user_id": 816302,
        "full_name": "Henry K.",
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        "founder_bio": "Founder & CEO of Icarus. At Orbital, Henry built satellites and helped win a $935M NASA contract to build a space habitat. He saw firsthand how Space is constrained by orbital mechanics. Additionally, he has designed and flown drones for NASA flight sciences, was a finalist in two NASA aerospace design competitions, and previously advised Fortune 500 clients on strategy at Deloitte. He holds an M.S. in Aerospace Engineering from Georgia Tech and a Top Secret SCI clearance.",
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        "linkedin_url": "https://linkedin.com/in/kwan-henry",
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        "location": "Los Angeles, CA, US",
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        "id": 89449,
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        "location": "Los Angeles, CA, US",
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        "role_type": "Machine learning",
        "salary_range": "$80 - $170",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": [
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        ]
      },
      {
        "id": 92090,
        "title": "Forward Deployed Engineer (FDE)",
        "url": "https://www.ycombinator.com/companies/karumi/jobs/mzQuJ9K-forward-deployed-engineer-fde",
        "location": "New York, NY, US / San Francisco, CA, US",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$100K - $150K",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 96440,
        "title": "Account Executive",
        "url": "https://www.ycombinator.com/companies/karumi/jobs/DGBA3tj-account-executive",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$100K - $140K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 96441,
        "title": "Growth",
        "url": "https://www.ycombinator.com/companies/karumi/jobs/GzM0fwO-growth",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$140K - $180K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 96734,
        "title": "Customer Success",
        "url": "https://www.ycombinator.com/companies/karumi/jobs/GVmMw8S-customer-success",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$90K - $120K",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 96735,
        "title": "Marketing",
        "url": "https://www.ycombinator.com/companies/karumi/jobs/y543CfF-marketing",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$90K - $125K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
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    "launches": [
      {
        "id": 95374,
        "title": "Karumi - Your AI demo agent. 24/7.",
        "tagline": "Finally, scalable product demos that feel human. Personalized to every customer.",
        "body": "**TL;DR: Skip the reading! Karumi delivers personalized product demos, and it’s faster if our agent just shows you! _→ [Demo now](https://www.karumi.ai/meet/start/d461afa6-f0d8-4bbe-83ac-ee88a7dbc303)_**\n\n\\\nHi all! We are [Toni](https://www.linkedin.com/in/tonilopezmr/) and [Pablo](https://www.linkedin.com/in/pablo-omenaca-muro/), and we are proud to launch [Karumi](https://www.karumi.ai/).\n\n**Most companies still demo like it’s 1995**. Be honest: when was the last time you found someone available _right now_ to give you a live demo?\n\nUsers don’t want to wait; they want to see how your product makes their lives easier.\n\nThat’s why we built Karumi, **an AI agent that delivers personalized demos, 24/7**, and **in any language**.\\\n\\\n<https://youtu.be/pAgt4iZMOGs>\n\n**Forget pre-recorded videos.** Karumi gives your users a **real demo experience** - a live, interactive video call with an AI agent that:\n\n* **Matches human reps** in clarity and engagement.\n* Is always **available**, regardless of timezone.\n* Has access to a **browser** (it opens tabs, navigates your product, etc.)\n* Is **hyper‑personalized**, pulling in every piece of contextual data (prospect profile, product knowledge) to tailor the conversation.\n* **Auto‑trains** on your product and business changes, staying up‑to‑date without manual input.\n\nYou can also see it in live in Deel’s platform here:\n\n[**https://www.loom.com/share/e7f7e00f2284478e8335f8f4d4dac6bd**](https://www.loom.com/share/e7f7e00f2284478e8335f8f4d4dac6bd**)\n\n\\\n**Why did we build Karumi?**\n\n**As SaaS companies scale, inbound leads grow quickly**. Demo requests pour in, and human reps can only handle so many before leads start slipping through the cracks. The result:\n\n❌ High-intent leads **wait days** for a personalized demo.\n\n❌ Smaller accounts go **unserved**.\n\n❌ Reps spend time chasing the **wrong fits** instead of closing deals.\n\n❌ Quantity of demos takes priority, **leaving quality and personalization behind**.\n\nTraditional sales motions don’t scale linearly with demand. Every new lead either adds friction or requires more headcount, creating bottlenecks and lost opportunities.\n\n**Why does it matter?**\n\n![uploaded image](/media/?type=post&id=95374&key=user_uploads/1785568/027980a0-b3ea-4ae9-8e5d-5207ca80f1a9)\n\n**Every minute of delay between interest and engagement means lost revenue**, especially in today’s crowded software landscape. Karumi closes that gap, giving every lead personalized attention at the moment of highest intent, including those who are currently underserved.\n\nOur customers use Karumi to:\\\n\\\n✅ **Improve conversion rates** from landing page visits to meeting**s**.\n\n✅ **Serve** segments that previously went **unserved**.\n\n✅ **Shorten sales cycles** by combining discovery, qualification & demonstration steps.\n\n✅ **Capture inbound demand** during product launches or marketing surges.\n\n**Our ask**\n\nTry Karumi today on our platform! **Here the link to try our demo now! (_Open it on your laptop!_)** →\n\n[**https://www.karumi.ai/meet/start/d461afa6-f0d8-4bbe-83ac-ee88a7dbc303**](https://www.karumi.ai/meet/start/d461afa6-f0d8-4bbe-83ac-ee88a7dbc303**)\n\nWant to talk with us?\n\n* Email us at [**founders@karumi.ai**](mailto:founders@karumi.ai)\n* Book a meeting through this [link](https://cal.com/team/karumi/launch)\n* Visit our [Website](https://www.karumi.ai)\n\n**More about the team:**\n\nWe faced this problem firsthand at our previous company, StackAI (YC W23). Our GTM team struggled to keep up with product changes and deliver consistent demos at scale. They were constantly pulled into demos with customers, so we built an AI agent to do it for them:\n\n* **Toni Lopez (CTO)** - founding engineer at StackAI (YC W23), software developer at IBM Research, serial entrepreneur\n* **Pablo Omenaca (CEO)** - COO & founding engineer at StackAI (YC W23), MIT grad, BCG Gamma\n\n  ![uploaded image](/media/?type=post&id=95374&key=user_uploads/1785568/e393d31d-d1cd-4e67-ae13-18c20aa30a1f)\n\n",
        "url": "https://www.ycombinator.com/launches/OoI-karumi-your-ai-demo-agent-24-7",
        "votes": 761,
        "created_at": "2025-11-10T20:40:24.571Z"
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    "id": 30969,
    "name": "Lemma",
    "slug": "uselemma",
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    "website": "https://www.uselemma.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Lemma is production monitoring for AI agents. We catch the silent failures your observability tools and evals miss (think bad tool calls, lost context, and infinite loops) before your users find them.",
    "one_liner": "Production Monitoring for AI agents",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1761703288,
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      "Infrastructure",
      "Monitoring",
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    "isHiring": true,
    "nonprofit": false,
    "batch": "Fall 2025",
    "status": "Active",
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "demo_day_video_public": false,
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    "url": "https://www.ycombinator.com/companies/uselemma",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/uselemma.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/uselemma",
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      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
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        "full_name": "Jerry Zhang",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder @ Lemma (YC F25) | Reliability platform for AI agents",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jerry-n-zhang/",
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        "full_name": "Cole Gawin",
        "title": "Founder/CTO",
        "founder_bio": "developing the next generation of intelligent systems @ lemma (f25) | ex-USC",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/colegawin",
        "x_url": "https://x.com/colegawin_",
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    "jobs": [
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        "id": 104341,
        "title": "Product Engineer",
        "url": "https://www.ycombinator.com/companies/uselemma/jobs/wrFU6bU-product-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $200K",
        "equity_range": "0.50% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 113900,
        "title": "AI/ML Engineer",
        "url": "https://www.ycombinator.com/companies/uselemma/jobs/vyHNWKs-ai-ml-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "AI engineer",
        "salary_range": "$120K - $200K",
        "equity_range": "0.50% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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      {
        "id": 95219,
        "title": "Lemma: Continuous Learning for AI Agents",
        "tagline": "We enable AI agents to continuously improve by turning real user feedback into automated prompt optimizations. ",
        "body": "**TL;DR:**\n\nLemma is the first evaluation + observability platform built not just to measure performance, but to improve it automatically. We help AI agents learn from real user feedback and production data, closing the loop so your prompts and agents continuously optimize themselves over time.\n\n**Launch Video:** https://www.youtube.com/watch?v=E4_v-pY_4fs\n\nHey everyone! We’re [Jerry](https://www.linkedin.com/in/jerry-n-zhang/) and [Cole](https://www.linkedin.com/in/colegawin/), co-founders of [Lemma](https://www.uselemma.ai/) (YC F25).\n\n**The Problem:**\n\n**AI agents don’t learn from their mistakes. In fact, they get worse with use.**\n\nIn production, prompts and agents continuously degrade due to real-world input drift (new user behaviors or unseen edge cases). Agent performance can often **drop \\~40% in a few weeks**, and suddenly what worked in testing breaks in front of customers.\n\nWhen that happens, engineers are forced to dig through logs, collect failing examples, and manually tweak prompts rather than building core product features.\n\n**Solution:**\n\nThat’s why we built **Lemma: the first end-to-end system that closes the loop between agent deployment and improvement.**\n\n**Here's what that means:**\n\n**Step 1:** Lemma detects failed outcomes directly from live traffic, and it automatically identifies the exact cause in an agent chain.\n\n**Step 2:** Lemma alerts you, and with one click, it runs targeted prompt optimizations to fix the failing behavior without any manual tracing or guesswork.\n\n**Step 3:** We give you back an improved prompt and automatically open a PR in your codebase so your prompts can live where you want them. Alternatively, you can also fetch your prompt from the Lemma dashboard.\n\n**Plus, Lemma provides all the LLM eval and observability features you rely on, just reimagined for continuous learning:**\n\n* Data-ingestion pipeline to bring your existing eval sets and automatically flag inconsistencies and gaps\n\n![uploaded image](/media/?type=post&id=95219&key=user_uploads/1798805/4f862c09-dce0-48da-91fe-1a152a5d82da)\n\n* Prompt editor and inference support for any closed & open-source model for prompt iteration.\n\n![uploaded image](/media/?type=post&id=95219&key=user_uploads/1798805/92464a28-ab54-4511-bc79-fd3e4f9d4823)\n\n* Agent tracing observability with live drift detection, regression alerts, and performance visibility across real user interactions.\n\n![uploaded image](/media/?type=post&id=95219&key=user_uploads/1798805/2b82ecee-1965-4fc0-831d-36b76db3f064)\n\nTeams using Lemma cut manual prompt iteration by 90%, resolve production drifts in minutes instead of days, and improve model performance \\~2–5% every optimization cycle.\n\n**Our Story:**\n\nWe met freshman year at USC and have been building together ever since instead of going to classes.\n\nBefore starting Lemma, we were engineers at two high growth, AI-native startups: Tandem (AI for healthcare) and Chipstack (AI agents for chip design). At both companies, setting up evaluations looked like clunky Retool dashboards and multiple engineers manually tweaking experiments. We built internal systems that automated both running the evaluations themselves, as well as the error-driven feedback loop. The result: 2x accuracy improvement and speed of iteration.\n\nWe soon realized every AI company was reinventing the same internal tooling in-house. So we left college, joined YC, and are now bringing continuous learning infrastructure to everyone else.\n\n![uploaded image](/media/?type=post&id=95219&key=user_uploads/1798805/53754495-215a-47aa-884d-bae4a59f9a68)\n\n**Ask**\n\n**Try our platform** - If you’re building with LLMs and run a ton of prompt or eval experiments, we’d love for you to work with us.\n\n**Introductions** - If you know a Head of AI/Eng or CTO at a pre-seed to Series A startup, we owe you lunch :)\n\nPlease reach out at [jerry@uselemma.ai](mailto:jerry@uselemma.ai) or book a live demo on our website [uselemma.ai](http://uselemma.ai). All help is appreciated - thank you!\n\n![uploaded image](/media/?type=post&id=95219&key=user_uploads/1798805/53c71689-276c-4993-b693-50aa8a492566)\n\n",
        "url": "https://www.ycombinator.com/launches/Oln-lemma-continuous-learning-for-ai-agents",
        "votes": 204,
        "created_at": "2025-11-05T19:58:08.940Z"
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    "id": 30970,
    "name": "Exonic",
    "slug": "exonic",
    "former_names": [],
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    "website": "https://exonic.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We program DNA sequences to be context-aware, unlocking new kinds of genetic therapies.",
    "one_liner": "Exonic is an AI-native cell and gene therapeutics company. ",
    "team_size": 3,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Drug Discovery and Delivery",
    "launched_at": 1762663893,
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Fall 2025",
    "status": "Active",
    "industries": [
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    "regions": [
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    "stage": "Early",
    "app_video_public": false,
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    "url": "https://www.ycombinator.com/companies/exonic",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/exonic.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/exonicbio/",
    "x_url": "https://x.com/exonicai",
    "fb_url": "https://www.facebook.com/profile.php?id=61582621808913",
    "cb_url": "https://www.crunchbase.com/organization/exonic",
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    "primary_partner": {
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        "full_name": "Ben Brimacombe",
        "title": "Founder/CEO",
        "founder_bio": "Co-founded Free2Grow, one of the largest AI voice companies in the home services vertical today.\nCo-led Turnpoint contract ($1.4B revenue aggregator) at Free2Grow. \nColumbia Computer Science and Mathematics, 2020.\nPublished AI researcher.\nLed machine learning at Long Run Partners, an NYC mortgage bank.\nResearched ML at Numerai, the crowdsourced hedge fund ($500m+ AUM). ",
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        "linkedin_url": "https://www.linkedin.com/in/benjamin-brimacombe/",
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        "title": "Founding Scientist (Synthetic Genomics)",
        "url": "https://www.ycombinator.com/companies/exonic/jobs/TknRQEX-founding-scientist-synthetic-genomics",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Science",
        "role_type": "Biology",
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        "equity_range": "0.50% - 2.50%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
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    "id": 30972,
    "name": "Jarmin",
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    "website": "https://jarmin.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Jarmin.ai builds AI employees for human-level roles. It learns its responsibilities, understands your data, embeds into your systems, and becomes part of your team's day-to-day workflow. Completely hand over full initiatives or individual tasks.\r\n\r\nHire AI ML Engineers, Account Executives, Paralegals, Financial analysts, Compliance analysts, and more.\r\n\r\nJarmin’s founding team is from Meta SuperIntelligence Labs (Staff Engineers), Apple (Machine Learning Engineer), AWS (scaling infra), Lockheed-Martin (Research), and JPMorganChase (SWE) with experience building AI/ML and automating complex work of Researchers, Data Scientists, ML Engineers with AI.",
    "one_liner": "AI Employees for human-level roles",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1762304310,
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    "top_company": false,
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    "nonprofit": false,
    "batch": "Fall 2025",
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    "regions": [
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    "stage": "Early",
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    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/jarmin-ai",
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        "full_name": "Chalmers Brown",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder & CEO @ Jarmin.ai\n\nEx-Meta SuperIntelligence Labs, Staff Engineer | Ex-Techstars Founder | Ex-JPMorganChase SWE  | Team USA Athlete\n\nUsing experience automating the work of Researchers, Data Scientists, Machine Learning Engineers to bring Jarmin to life.\n\nEducation:\n- Stanford Engineering Everywhere program\n- Harvard Business School Online\n- Rutgers University (Computer Science & Pre-Med)",
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        "linkedin_url": "https://linkedin.com/in/chalmersbrown",
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      },
      {
        "user_id": 2210451,
        "full_name": "Shirsendu Halder",
        "title": "Co-Founder & Head of ML",
        "founder_bio": "Prev:\n- ML/GenAI research at Apple\n- Research for Lockheed Martin\n- Research at INRIA, Universite Laval, Indian Statistical Institute\n- Published ML/CV papers at CVPR (best paper), ICCV, ACCV, IJCV, etc\n\nEducation:\n- CS/Robotics at Carnegie Mellon\n- CS at IIT Roorkee",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/shirsenduhalder/",
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      },
      {
        "user_id": 808469,
        "full_name": "Zack Leman",
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        "body": "![uploaded image](/media/?type=post&id=95358&key=user_uploads/102484/0576d378-3041-486d-b170-c6dd2fa398eb)\n\n**TLDR**\\\nJarmin is an autonomous ML engineer that ships production AI/ML features. Assign projects or individual tasks, and Jarmin handles the end-to-end workflow for models, pipelines, testing, and improvements.\n\nhttps://youtu.be/HjWlOLEn2JI\n\n**Our Team is impressive with the right experience**\\\nChalmers and Zack were Staff Engineers at Meta Super Intelligence labs building LLM training infrastructure and agents to assist ML Engineers. Before Meta, Zack built scalable real-time infra at AWS. Shir is similarly entrenched in the ML world, as a Research ML Engineer at Apple shipping production ML to billions of users and a Researcher at Lockheed Martin.\n\n**The Problem**\\\nPrompt engineering using Claude Code/Cursor isn’t enough to handle production ML workflows such as domain-specific feature engineering, model selection under constraints, hyperparameter optimization, and many more nuanced decisions that make it nearly impossible to move fast without dedicated ML engineering resources.\n\nHiring ML engineers can take 3-6+ months at $200K+ annually with costs skyrocketing for top talent. The barrier is even higher for SMBs: you need to build infrastructure, hire specialized engineers, and compete with tech giants, so your data sits unused. Companies with ML teams aren't much better off. Engineers spend most of their time on operational overhead (data wrangling, pipeline debugging, infrastructure maintenance) instead of innovation.\n\n**How Jarmin Works**\\\nTalk to Jarmin about what you want to build via our chat UI. Jarmin understands your ML goals, connects to your data sources, experiments with approaches, and deploys production pipelines. Under the hood, Jarmin is a system of proprietary agents, models, automations that each handle portions of the ML lifecycle. This system enables Jarmin to execute on the hundreds of micro-decisions ML Engineers typically have to handle in the ML development lifecycle.\n\nYou choose your level of involvement: full autonomy or approval at key decision points.\n\n![uploaded image](/media/?type=post&id=95358&key=user_uploads/102484/bf6c81c0-b599-43ab-8207-e7b1d6077684)\n\n**Our Vision**\\\nWe're not replacing people. We are giving them superpowers. We will enable the competitive advantage that used to belong only to companies with top-tier AI/ML teams to be accessible to everyone.\n\nOur vision is for every company to have a top-tier AI/ML team.\n\n**A Jarmin For Every Industry**\\\nJarmin can be used in any industry that could be improved with custom AI. We’ve seen Jarmin be helpful for: semiconductor manufacturers catching defects, biotech companies analyzing microbes, AI marketing platforms, social media apps and marketplaces building recommendation systems. Different industries, same story. They've got big ideas and now they finally have the ML horsepower to pull them off.\n\n**Get Started**\\\nContact us at [**chalmers@jarmin.ai**](mailto:chalmers@jarmin.ai) to hire Jarmin.",
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        "full_name": "Bram Schork",
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        "title": "General Astronautics — Robots for Space",
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        "body": "# Launch YC: General Astronautics — Robots for Space\n\n**TL;DR:** General Astronautics builds autonomous robots for research and manufacturing in space. Microgravity unlocks better pharmaceuticals, purer semiconductors, and flawless optical fibers. The bottleneck was never the science, it was the labor to do it.\n\n<https://youtu.be/L5XrlbG-8ew>\n\n**Advantage of Microgravity**\n\nMicrogravity changes what's physically possible. Proteins crystallize with fewer defects, critical for drug development. Semiconductors and optical fibers form without the flaws that gravity creates. Pharma and tech companies are already investing in orbital research.\n\n**The Problem**\n\nBut astronaut time is expensive, and there's not nearly enough of it. On ISS, NASA estimates crew time at $130K per hour. On commercial stations, it's more than three times that. Crews have to sleep, rotate home, and pick and choose which experiments to run. Most of the work that could happen in space simply doesn't.\n\n**The Solution**\n\nWe're building robotic systems that handle laboratory work: pipetting, sample prep, plate handling, reagent mixing, with the precision and autonomy to operate without crew. The goal is simple: make microgravity research and manufacturing scalable, not bottlenecked by how many people you can put in orbit.\n\nOur team comes from SpaceX, Caltech, and Carnegie Mellon. We've spent our careers on robotics, spacecraft systems, and the intersection of both. We started General Astronautics because the limiting factor in space was never the science, it is the capacity to do it at scale.\n\n**The Ask**\n\nIf you have connections to pharma or biotech companies interested in space-based research, whether protein crystallization, biologics, cell culture, or silicon manufacturing, we'd love an intro.\n\nConnect with us: [founders@generalastro.com](mailto:bram@generalastro.com)\n\nX: <https://x.com/GenAstronautics>\n\nLinkedIn: <https://www.linkedin.com/company/generalastronautics>",
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        "full_name": "Jacob Wright",
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        "full_name": "Cambree Bernkopf",
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        "type": "Full-time",
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        "title": "Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/madethis/jobs/dgBaRrI-forward-deployed-engineer",
        "location": "San Francisco, CA, US / New York, NY, US / Salt Lake City, UT, US",
        "type": "Full-time",
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        "id": 108368,
        "title": "MadeThis: The platform for self-driving businesses",
        "tagline": "Build a business that runs itself",
        "body": "**TL;DR:** MadeThis helps users launch a business in &lt; 10 minutes and handles all of the busy work.\n\n<https://youtu.be/phvdoK1Fktg>\n\nMadeThis provides everything you’d need to run your business:\n\n* a website\n* legal incorporation\n* payments\n* marketing content\n* paid ads\n* social integration\n* etc.\n\nAND the team of AI teammates to manage it all.\n\nWithin the last 100 days, over 20,000 businesses have launched on MadeThis and $100,000s have been generated through the platform.\\\n\\\nWith customers ranging from first time founders to business owners doing $50m+ per year, MadeThis helps turn any company into a self-driving company.\n\nGet started today at <https://madethis.com>\n\nMid-market enterprise doing $10m+ in revenue? Wanting custom AI teammates? Reach out to [jacob@madethis.com](mailto:jacob@madethis.com)",
        "url": "https://www.ycombinator.com/launches/SBs-madethis-the-platform-for-self-driving-businesses",
        "votes": 1,
        "created_at": "2026-07-30T16:40:00.795Z"
      },
      {
        "id": 97921,
        "title": "Castari – The runtime for agents that need a computer",
        "tagline": "Your agent executes code, calls tools, and runs for hours. We give it a sandbox, an endpoint, and observability — with one command.",
        "body": "### TL;DR\n\nCastari is hosting infrastructure for agents that need more than an API call. Run `cast deploy` and your agent gets a secure sandbox, auto-scaling endpoint, and full observability.\n\nPublic beta is live today.\n\n<https://youtu.be/2fpCTj051kY>\n\n---\n\n### The problem\n\nSerious agents aren’t just “call an API and done.”\n\nThey execute code, hit tools and browsers, run for minutes to hours, and touch sensitive systems. Every team ends up rebuilding the same fragile setup:\n\n* homegrown agentic harnesses\n* stitched-together sandboxes/microVMs/containers/queues\n* logs and traces scattered everywhere\n* hacky snapshots and suspect secret handling\n\nSo:\n\n* every agent needs its **own** mini-runtime\n* debugging one run is detective work\n* adding a new agent feels like starting a new infra project\n\nDeploying agents that work great locally turns into wrangling infrastructure.\n\n---\n\n### **The problem**\n\nSerious agents aren't chatbots. They execute code, call tools, touch filesystems, and run for hours. They need a computer.\n\nBut there's no good way to put them in production. You end up stitching together containers, queues, and compute layers — rebuilding the same infrastructure every team rebuilds. The agent works on your laptop. Getting it to work reliably for users takes weeks.\n\nWe hit this ourselves. We built an AI consumer app to 2M+ members while at RunPod (scaled to $100M revenue). The hardest part was never the model — it was the harness. Every time we shipped a new agent, we were rebuilding sandboxing, scaling, secrets, and monitoring from scratch.\n\n### **What we built**\n\nCastari wraps your agent in a secure sandbox and gives you back a production endpoint.\n\n```\nnpm install -g @castari/cli\ncast login\ncast deploy\n```\n\nYour agent now has:\n\n* **Secure sandbox** — full isolation. Your agent can safely execute code, use browsers, and access filesystems\n* **Auto-scaling endpoint** — scales with demand, no capacity planning\n* **Observability** — trace every tool call, decision, and output in real time\n* **Multi-model support** — Claude, OpenAI, xAI, open source. Your code stays the same\n* **Zero lock-in** — remove Castari and your agent still runs on vanilla Claude Agent SDK\n\n---\n\n### **How we're different**\n\nMost tools give you primitives — a sandbox API, a container runtime, a compute layer. You still stitch it together yourself.\n\nCastari wraps around your agent. You define it declaratively, we manage the lifecycle: provisioning, versioning, execution, scaling, teardown. You write agent logic, not infrastructure code.\n\n### **What's next**\n\n* Better tracing and observability — debug agent behavior in production, not after the fact\n* Higher sandbox concurrency limits — run more agents in parallel\n* Forever-running sandboxes — agents that stay alive indefinitely\n\n---\n\n### Why we’re working on this\n\nWhile I was leading the FDE team at RunPod:\n\n* Built and shipped AI infrastructure and agents for **Fortune 500s and fast-growing startups**\n* Watched the same loop repeat: agent works in a notebook → weeks disappear into infra glue → nobody trusts the system, production release gets delayed (over and over again).\n\nAdditionally, while [@Cambree Bernkopf](https://bookface.ycombinator.com/user/1372064) and I scaled our AI consumer app to 2m+ users, our biggest issues were getting our agents to work reliably in production.\n\nThe pattern is clear: **agents deserve a first-class runtime, the way frontends got one.**\n\nCastari is our bet that:\n\n* Sandboxing & safety should be built-in, not bolted on\n* Going from “prototype” to “production-safe” should be one config file, not a quarter-long project\n* AI teams should ship agents, not infrastructure.\n\n---\n\n### Try it\n\nDocs: [docs.castari.com](http://docs.castari.com)\n\nWebsite: [castari.com](http://castari.com)\n\nCLI: `npm install -g @castari/cli`\n\nOr email [jacob@castari.com](mailto:jacob@castari.com) — happy to get you deployed.\n\n— Jacob & Cambree\n\n![uploaded image](/media/?type=post&id=97921&key=user_uploads/1070542/1e7ef564-ad96-4b4e-aa0e-80212ee05604)\n\n",
        "url": "https://www.ycombinator.com/launches/PTN-castari-the-runtime-for-agents-that-need-a-computer",
        "votes": 5,
        "created_at": "2026-02-17T23:23:56.820Z"
      },
      {
        "id": 95573,
        "title": "Castari - Vercel for AI Agents",
        "tagline": "Deploy your sandboxed agents with Castari",
        "body": "Hey! We’re Jacob Wright & Cambree Bernkopf, founders of [Castari](https://castari.com).\n\n### **TL;DR**\n\n**Castari lets teams deploy AI agents to secure, autoscaling sandboxes in seconds.**\n\nYou write agent logic with the **Claude Agent SDK (other frameworks coming soon)**. We turn it into a production-grade endpoint.\n\nWe’re especially focused on:\n\n* Teams building **internal agents** (ops, support, data, eng workflows).\n* Companies whose **core product is an agent** built on Claude Agent SDK and need a safe, reliable way to run it.\n\n### Launch Video:\n\nhttps://youtu.be/81K80OivtAc\n\n### The Problem:\n\nSerious agents are not just a single API call. [Agents need a computer.](https://www.anthropic.com/engineering/building-agents-with-the-claude-agent-sdk)\n\nThey execute code, call tools and browsers, run for minutes instead of milliseconds, and touch sensitive systems. Most teams end up rebuilding the same fragile setup:\n\n* Homegrown agent harnesses\n* Sandboxes, file systems, and queues stitched together\n* Logs and traces scattered across many services\n* Ad hoc snapshots and risky secret handling\n\nThe result:\n\n* Every agent needs its own mini runtime\n* Debugging one agent run feels like detective work\n* Adding a new agent feels like starting a new infra project\n\nGood agents stall at “cool demo” instead of reaching production. Deploying agents becomes a full-time infrastructure problem.\n\n![uploaded image](/media/?type=post&id=95573&key=user_uploads/89898/44917ba7-819c-4c41-a80f-ef359054b19e)\n\n### How Castari solves it\n\nWe’re building Castari to be the **natural runtime for AI agents built on Claude Agent SDK**. We wrap the entire agent in a sandbox, deploy it, and provide you with an endpoint url that auto-scales as requests come in. No need to write code in your tools to manage your sandbox lifecycle.\n\n#### **1. Drop in a config file → get a production runtime**\n\nIn your Claude Agent SDK repo:\n\n* Add a `castari.yaml` (entrypoint, tools, env vars)\n* Run `castari deploy`\n\nThat’s it. Your agent is now running in a secure sandbox with an endpoint, UI, and observability.\n\nWhether that agent is:\n\n* an **internal system** your team uses\n* a **customer-facing agent** that _is_ your product\n\nthe deployment workflow is identical and boring (in the good way).\n\n#### **2. Sandboxing & safety, built-in**\n\n* Every run executes in an isolated sandbox designed for tool-using agents\n* You design the behavior; we handle isolation and scaling\n* No more duct-taping together sandbox primitives for specific tools\n\n**Bottom line:** You keep building on **Claude Agent SDK** the way you already are — for internal workflows or core products. Castari turns that into a safe, observable, production-ready runtime.\n\n### Why Castari is different\n\n**E2B, Modal, Daytona, Cloudflare** (and friends) give you powerful sandbox and compute primitives.\n\n**Castari sits one layer up:**\n\nCastari wraps around your Claude Agent SDK-based agents so you can define them declaratively and run them in secure sandboxes, without owning the underlying sandbox lifecycle.\n\n* **Agent-first semantics**: runs, sessions, tools, snapshots are native concepts we manage.\n* **Zero framework lock-in**: remove Castari and your agent still runs on vanilla Claude Agent SDK; keep Castari and your infra team gets its life back.\n* **Focused start**: deeply integrated with **Claude Agent SDK** today, with the same “drop-in config” experience coming to other frameworks next.\n\nWe’re building the runtime we wish existed for agents.\n\n### Why we’re working on this\n\nWhile I was leading the FDE team at RunPod:\n\n* Built and shipped AI infrastructure and agents for **Fortune 500s and fast-growing startups**\n* Watched the same loop repeat: agent works in a notebook → weeks disappear into infra glue → nobody trusts the system, production release gets delayed (over and over again).\n\nAdditionally, while [**@Cambree Bernkopf**](https://bookface.ycombinator.com/user/1372064) and I scaled our AI consumer app to 2m+ members, our biggest issues were getting our agents to work reliably in production.\n\nThe pattern is clear: **agents deserve a first-class runtime, the way frontends got one.**\n\nCastari is our bet that:\n\n* Sandboxing & safety should be built-in, not bolted on\n* Going from “prototype” to “production-safe” should be one config file, not a quarter-long project\n* AI teams should ship agents, not infrastructure.\n\n![uploaded image](/media/?type=post&id=95573&key=user_uploads/1070542/5fbe422a-1cc4-49e3-95ce-8740164b600e)\n\n### Ask: early pilot access\n\nWe are opening a limited pilot for:\n\n* Teams building internal agents who need a safer, more reliable runtime\n* Companies building agent centric products that need to run in production without bespoke infra\n\nIf that is you and you are tired of wrestling with sandboxes, observability, and brittle tooling:\n\n→ Email [**jacob@castari.com**](mailto:jacob@castari.com) with subject “Castari Pilot” and 2 to 3 sentences about your agent stack and use case.\\\n→ Check out our open source repo for using any model with Claude Agent SDK on [GitHub](https://github.com/castar-ventures/castari-proxy).\\\n→ Join the waitlist on [**castari.com**](http://castari.com) to hear about our first releases.\n\nJacob, Cambree, and the Castari team",
        "url": "https://www.ycombinator.com/launches/OrV-castari-vercel-for-ai-agents",
        "votes": 20,
        "created_at": "2025-11-17T20:28:20.453Z"
      }
    ]
  },
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    "id": 30977,
    "name": "Rovi Health",
    "slug": "rovi-health",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/854d5ebc9419a8974e7acf5bf13e395923c740a6.png",
    "website": "https://www.rovi.health",
    "all_locations": "New York City, NY, USA",
    "long_description": "We deliver high-quality, cost-effective healthcare to employees through text. Employers cut 10–20% of healthcare spend. Employees get concierge care that improves outcomes.\r\n\r\nOur AI agents analyze clinical data to identify care needs. We treat common conditions through our integrated virtual clinic. For more complex care, our agents find the best in-network providers using millions of price and quality data points, and handle end-to-end appointment booking. ",
    "one_liner": "AI healthcare concierge for employees",
    "team_size": 3,
    "industry": "Healthcare",
    "subindustry": "Healthcare",
    "launched_at": 1761513033,
    "tags": [
      "Consumer Health Services",
      "Health Tech",
      "Digital Health",
      "Healthcare",
      "Health Insurance"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Fall 2025",
    "status": "Active",
    "industries": [
      "Healthcare"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/rovi-health",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/rovi-health.json",
    "year_founded": 2025,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/rovi-health/",
    "x_url": "",
    "fb_url": null,
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/854d5ebc9419a8974e7acf5bf13e395923c740a6.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Pete Koomen",
      "url": "https://www.ycombinator.com/people/pete-koomen"
    },
    "founders": [
      {
        "user_id": 1230817,
        "full_name": "Santosh Vallabhaneni",
        "title": "Founder/CEO",
        "founder_bio": "Santosh is the CEO of Rovi Health, building AI-enabled, text-based healthcare. Previously GM of Cedar’s patient affordability products, sold millions in ARR to the largest health systems in the country. Early employee at AngelList, led their GTM and Customer Success teams. Also a licensed health insurance broker. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/santoshvallabhaneni/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0e62416f806e108e0d1bf4afbc158709a8f218e1.jpg"
      },
      {
        "user_id": 1932657,
        "full_name": "Tarun Vallabhaneni",
        "title": "Founder/CTO",
        "founder_bio": "Tarun is the CTO and co-founder of Rovi Health, building AI-enabled, text-based healthcare. Previously, Tarun was working on foundational AI models to predict extreme weather events. \n\nHe holds an M.S. in Computer Science from UChicago, specializing in AI and high-performance computing, and a B.S. in Biology from Cornell.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/tvallabh/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bb56912caeb61e0d6a3835792eb5e05f2c473536.jpg"
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    "jobs": [
      {
        "id": 93206,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/rovi-health/jobs/tSysGWC-founding-engineer",
        "location": "New York, United States",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$170K - $250K",
        "equity_range": "0.75% - 1.50%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 97833,
        "title": "Senior / Staff Founding Engineer",
        "url": "https://www.ycombinator.com/companies/rovi-health/jobs/TdMPbYV-senior-staff-founding-engineer",
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        "equity_range": "",
        "experience": "8+ years",
        "visa": "US citizen/visa only",
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      },
      {
        "id": 97834,
        "title": "Founding GTM Engineer",
        "url": "https://www.ycombinator.com/companies/rovi-health/jobs/8xkizlu-founding-gtm-engineer",
        "location": "New York, United States",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
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        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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    "news": [],
    "launches": [
      {
        "id": 94971,
        "title": "Rovi Health: Text-based healthcare that slashes employer health spend",
        "tagline": "We deliver high-quality, affordable healthcare to employees through text. Employers cut 10-20% of their annual spend. Employees get concierge healthcare they love.",
        "body": "# **⏳TL/DR**\n\nRovi helps employees access high-quality, cost-effective healthcare. We text employees the best in-network options at exactly the right moment, and handle all the complexity.\n\n* Our AI-enabled virtual care treats common conditions quickly over text or video.\n* For complex care, our AI agents search across all in-network providers using millions of price and quality data points, then handle scheduling and logistics.\n* Employees get rewarded for choosing high-value care through copay reimbursements and waived deductibles.\n\nLaunch video: https://www.youtube.com/watch?v=mKNB0CF8_9Y\n\n# **⚠️ The Problem**\n\nHealthcare costs are crushing employers. 2025 is seeing a 9% rate hike, the worst in a decade. A 1,000-person company now faces over $1M in cost increases annually, compounding.\n\nEmployers’ only options are to cut benefits or redesign their entire plan. Both take months and frustrate employees.\n\nWhat if Employers could offset these costs by adding benefits instead?\n\n## **🤨 How is this possible?**\n\n**Price and quality have no correlation in healthcare:**\n\n* The same MRI: $700 at an imaging center vs $2,500 at a hospital. Same network. Same machine.\n* The same knee surgery: $7,000 at a surgery center vs $25,000 at a hospital. Same surgeon. Often better outcomes at the surgery center.\n\n![uploaded image](/media/?type=post&id=94971&key=user_uploads/1230817/7a7a2b27-4c82-410c-9744-82a5af6b1cc2)\n\n**So why does everyone end up with the expensive option?**\n\n1. **Hospitals own the referral pipeline.** They consolidated most primary care practices. When your doctor orders a procedure, their systems automatically directs it to their expensive facilities.\n2. **Shopping is impossible.** Prices are hidden, provider directors outdated, quality is opaque. And when you're sick, calling twelve clinics is the last thing you want to do.\n\n**Rovi does the hard work.** Our AI agents analyze terabytes of pricing data, research every provider's quality metrics, and surface options matching each person's preferences for cost, convenience, and availability. Making good healthcare decisions drives down costs for both the employee and the employer.\n\n# **🎯 Impact**\n\nWe save employers 10-20% on healthcare spend while improving care outcomes and delivering a health benefit that employees love.\n\nWe've already signed contracts to roll out to thousands of employees across multiple employers for the 2025-2026 plan year.\n\n## **🙏🏾 Our ask**\n\n1. **Employers:** We have two final Q1 spots for self-funded employers. Introductions to employer benefits teams, brokers, health plans, and TPAs are welcome. Reach out to [santosh@rovihealth.com](mailto:santosh@rovihealth.com).\n2. **Individuals:** [**Join our beta**](https://rovi.health/) to try our AI care concierge. Rovi will find you great in-network doctors whenever you need care. Virtual care coming soon.\n\n## **👬🏾 Our team**\n\nWe're brothers on a mission to build AI-native health insurance that members love.\n\n**Santosh** was previously building Cedar's affordability products, scaling to millions in ARR by closing enterprise deals with the country's largest hospital systems. Before that, he led a 30-person GTM & Customer Success team at AngelList. He’s also a licensed health insurance broker.\n\n**Tarun** built foundational AI models to predict extreme weather events at UChicago, where he earned a Master's in AI and high-performance computing. He has a B.S. in biology from Cornell, and is obsessed with using AI to solve healthcare's messiest data problems.\n\n![uploaded image](/media/?type=post&id=94971&key=user_uploads/1230817/5e3c8786-7330-4fa2-bdee-8a416d5144c9)\n\n",
        "url": "https://www.ycombinator.com/launches/Ohn-rovi-health-text-based-healthcare-that-slashes-employer-health-spend",
        "votes": 39,
        "created_at": "2025-10-28T18:03:14.789Z"
      }
    ]
  },
  {
    "id": 30983,
    "name": "Layers",
    "slug": "layers",
    "former_names": [
      "Telemetron"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0392f6cc4b38e3757dfde807152e63044285166f.png",
    "website": "https://www.layers.bio/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Improving how you look and feel leads to better outcomes in life (career, relationships, first impressions, opportunities, etc). \r\n\r\nImproving your health and appearance is an engineering problem - the body can be optimized like any other system",
    "one_liner": "Improve your appearance by measuring, understanding, and tracking…",
    "team_size": 2,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Consumer Health and Wellness",
    "launched_at": 1759807426,
    "tags": [
      "Consumer Health Services",
      "Health Tech",
      "Beauty",
      "Health & Wellness",
      "AI"
    ],
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Fall 2025",
    "status": "Active",
    "industries": [
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      "Consumer Health and Wellness"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/layers",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/layers.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "",
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    "primary_partner": {
      "name": "Andrew Miklas",
      "url": "https://www.ycombinator.com/people/andrew-miklas"
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    "founders": [
      {
        "user_id": 1382504,
        "full_name": "Shivani Patel",
        "title": "Founder/CEO",
        "founder_bio": "quantifying every layer of the human body",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/shivanijpatel/",
        "x_url": "https://x.com/shivanijpatel",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/dfcd059dae3f81253fad3c346d3a059172c9de40.jpg"
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    "jobs": [
      {
        "id": 86797,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/layers/jobs/RPmWQ5c-founding-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $180K",
        "equity_range": "0.25% - 1.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
          "Amazon Web Services (AWS)",
          "Python",
          "React Native",
          "TypeScript",
          "Machine Learning",
          "Design systems",
          "Next.js"
        ]
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 95195,
        "title": "Telemetron: The Support Platform that Understands Hardware",
        "tagline": "Product Support, Troubleshooting, and Debugging for Hardware Companies",
        "body": "![uploaded image](/media/?type=post&id=95195&key=user_uploads/1382504/8e149fc6-6d08-468e-9867-3f7e72a234c9)\n\n### The Team:\n\n![uploaded image](/media/?type=post&id=95195&key=user_uploads/1382504/e6ac658e-26f8-4e6f-959c-5af6bd9b7c6c)\n\nShivani and Hamza worked together at SpaceX on the Starlink Software team. \\\n\\\n**Shivani:** \\\nShivani was the first software engineer on the Starlink customer support team. She built all the AI support software tooling from scratch as a solo-engineer. She built the Starlink app/web chatbots, an AI copilot for internal teams and support agents, a telemetry enabled root causing system, and much more! She helped take AI automation at Starlink from 0 to 70%. \\\n\\\n**Hamza:** \\\nHamza built internal tooling to manage Starlink’s multi-billion dollar ecommerce flow and solved global customer issues. He built the internal localization framework, payments infrastructure, SEO, content management, and much more\n\n### The Problem:\n\nFor hardware products, post-sales support is more than just replying to emails and working tickets. **50-80% of customer issues are tightly coupled with what is happening on devices.** Resolutions require in person service, warranty checks, returns & replacements (RMAs), video calls, and root-causing defective hardware.\n\nAt SpaceX, we evaluated over 20 customer support companies and ended up needing to build our own.  When talking to other hardware companies, we found every hardware company faces the same problem.\n\n1. **Support agents aren’t technical enough to troubleshoot.** _Companies have to provide extensive training to prevent escalations to software / hardware teams_\n2. **Legacy support software like Zendesk / Intercom are built for b2b SAAS.** _Hardware companies are forced to build software tools from scratch_\n\n### The Solution:\n\n# Telemetron: End-To-End Support Platform for Hardware Companies. We handle product support, troubleshooting, field service management, and more.\n\n\\\nhttps://youtu.be/817uAVqoOWY\n\n![uploaded image](/media/?type=post&id=95195&key=user_uploads/1382504/5aeda9dc-ee66-4b9e-853d-d7d9be0f83b2)\n\n**Internal Agent Copilot:** \\\nIntegrations to connect your AI agent to your device telemetry, 3PL systems, ecommerce flows, and everything else needed to run a hardware company post-sales. Our agents are built to process and debug complex hardware data and docs.\n\n![uploaded image](/media/?type=post&id=95195&key=user_uploads/1382504/0c96b639-b1db-49e1-b7e2-2598249f587e)\n\n\\\n**Modern, Hardware-Friendly Customer Help Center + Chat:** \\\nHelp Center and AI Chatbot that’s built for hardware. AI Agents that understand firmware revisions, product manuals, design docs. Easy to add pictures and videos for setup guides, troubleshooting docs, and product manuals\n\n![uploaded image](/media/?type=post&id=95195&key=user_uploads/1382504/136d1d3f-24f1-4373-bac3-c22b071ca3a1)\n\n**And so much more!**\n\n* Field Service Management: Software tools for technicians providing in person support for hardware devices\n* Warranty Eligibility and Management software\n* RMA Eligibility and Management\n* Hardware evaluations Post-RMA\n* Omni-channel support (phone, email, text with i-Message, video calls)\n\n### Let's Talk!!\n\nIf you’re building hardware products, let’s talk! Feel free to book a demo [here](https://calendar.app.google/AHhzPK3LRhwZFBHC6)\n\nIf you have hardware products you love, but the customer support sucks, tell us about it [founders@telemetron.ai](mailto:founders@telemetron.ai)\\\n\\\nhttps://youtu.be/9Om9a2DVN6Q",
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        "created_at": "2025-11-05T17:41:45.019Z"
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        "title": "Lightberry - Robots with Soul",
        "tagline": "We’re building brains for robots - so they can talk, act, listen and feel. ",
        "body": "![uploaded image](/media/?type=post&id=95161&key=user_uploads/187048/b726300c-0e1d-4190-87ac-44a8bc4a2ed3)\n\nGreetings dear humans – we’re building **Lightberry: the social brain for robots.**\n\nWe work with manufacturers like Unitree and Booster to make robots listen, speak, and act. You can program your robot out of the box by literally talking to it, no coding involved.\n\nRobots running Lightberry are:\n\n* emotionally intelligent\n* always on\n* fully autonomous\n\nJust like in Star Wars!\n\nhttps://www.youtube.com/watch?v=aJZ3pcFyfg4\n\n### **Why?**\n\nWe’ve seen robots on stage: folding laundry, serving popcorn, doing backflips… But before robots get deployed in homes, offices, and shops, they need to become good at **interacting with people**.\n\nSlapping ChatGPT realtime on it is not enough, every manufacturer tried that already. It responds to every little noise, lacks personality, and needs to be teleoperated.\n\nLightberry makes robots **contextually aware**, **customizable**, and **autonomous**.\n\n_We’ll let our robot Mini-Pi say it in its words:_\n\n[**https://youtu.be/e1gD57WY74s**](https://youtu.be/e1gD57WY74s**)\n\n### **Is it just a voice pipeline on top of a robot?**\n\nNo. Lightberry robots have agency. They **decide** when they want to speak or move. Our robots can **see the world** around them, **navigate it** without hitting obstacles, and have an internal **monologue of thoughts**.\n\n_Here’s our robot Koko’s hot-take:_\n\n[**https://youtu.be/Y7SN58Cdvs4**](https://youtu.be/Y7SN58Cdvs4**)\n\n### **What can your robots do?**\n\nRobots running Lightberry are being deployed to interact with people: homes, offices, shops, conferences, etc. Our software works on many different robots: Unitree G1, Fourier GR-2/N1, Booster T1/K1, High Torque Mini-Pi/Mini-Pi+ …\n\n_Here are a few robots we’ve deployed Lightberry on – meet Koko, Synthia, Alfred, Blake, Minnie, and Bradford:_\n\n![uploaded image](/media/?type=post&id=95161&key=user_uploads/187048/60dd09f1-41ed-488c-bb73-546727f5d606)\n\n### **Ask**\n\n**We want to deploy as many robots in the real world as possible.** If you want to:\n\n* Hire a robot for a people-facing gig (conference, sales, marketing, receptionist, concierge…)\n* Integrate Lightberry into your robot (if you’re building hardware!)\n\n**Please email us at [founders@lightberry.com](mailto:founders@lightberry.com).**\n\nThanks,\n\n[**@Ali Attar**](https://bookface.ycombinator.com/user/255747) & [**@Stephan Koenigstorfer**](https://bookface.ycombinator.com/user/187048)\n\n![uploaded image](/media/?type=post&id=95161&key=user_uploads/187048/c6837400-65bf-4cb7-a943-52615e648ae8)\n\n_Yes, it walks around me!_",
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        "created_at": "2025-11-04T17:34:27.623Z"
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        "body": "Hey everyone!\n\nWe're Frederik, Soren, and Harshil – co-founders of DiligenceSquared.\n\n**TL;DR**\n\n[DiligenceSquared ](https://diligencesquared.com/)automates **market due diligence for private equity funds**. Our AI agents conduct expert interviews and synthesize insights into fully auditable reports – replacing the $500K+ due diligence work from McKinsey, BCG, and Bain.\n\nWe have deep expertise from senior industry positions at **Blackstone, BCG and Google**. Frederik bought this research at Blackstone, and Soren sold it at BCG.\n\nOur clients already include **two of the world's five largest PE funds** and several mid-market funds demonstrating the broad appeal of our technology.\n\n**Ask:** Can you introduce us to private equity funds, hedge funds or private credit funds that need credible market intelligence? Contact us at [founders@diligencesquared.com](mailto:founders@diligencesquared.com)\n\nhttps://youtu.be/DwNAEVXpv8c?si=qIkt0KSTylIdBg4T\n\n**❌ The Problem**\n\nPrivate equity funds spend **&gt;$10B annually** on commercial due diligence. A standard engagement:\n\n* **Costs $500K-$1M** per project\n* **Takes 2-4 weeks** to deliver\n* **Relies on junior Associates** often only 1-2 years out of university\n* **Provides zero transparency** – no way to trace PowerPoint conclusions back to underlying evidence\n\nThe result: Funds delay diligence until the last minute because it's too expensive to do early or skip it entirely on smaller deals. In increasingly competitive capital markets, this creates a real disadvantage.\n\n**✅ Our Solution**\n\nOur AI agents autonomously conduct expert interviews and synthesize insights with **every claim linked directly to source transcripts**. The advantages are significant:\n\n* **Speed & Scale**: Parallel process interviews in local language and instantly synthesize insights with AI.\n* **Transparency and depth**: Trace any insight back to its underlying source, such as exact quote in interview transcripts. No black box, no \"trust me\" slides.\n* **Cost**: Fraction of traditional fees—making diligence economical for deals that couldn't justify it before.\n\nAs one Managing Director at a PE fund told us: _\"80% of the insight at 5% of the cost. It's a no-brainer for early-stage Commercial Due Diligence.\"_\n\n**🤝 The Team**\n\nOur team has spent years in private equity, consulting, and tech. We know what great due diligence looks like and how to automate it.\n\n* **Frederik** was a Principal at Blackstone's Private Equity team across London, NYC, and San Francisco. He spent 6 years buying these $500K+ reports and knows exactly what investors find valuable versus unnecessary bloat.\n* **Soren** was a Principal at BCG in NYC and spent 7 years leading commercial due diligence projects for the world's largest funds. He knows exactly which process and analytical steps can be automated.\n* **Harshil** was a Software Engineer at Google, leading AI systems in Google Ads. He's a repeat founder with 10 years of experience building production ML systems and knows how to operationalize them at scale.\n\n**🙏 Our Ask**\n\n**Can you introduce us to:**\n\n* Private Equity, Growth Equity, Private Credit, and Hedge Funds\n* Portfolio companies or corporates that need market intelligence\n* Deal professionals frustrated with traditional market due diligence\n\n👉**Contact us at [founders@diligencesquared.com](mailto:founders@diligencesquared.com)** or visit [**www.diligencesquared.com**](http://www.diligencesquared.com)\n\n![uploaded image](/media/?type=post&id=95241&key=user_uploads/2296969/7a5d64a9-8895-4b80-98d1-a3ac69b338d9)\n\n",
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        "votes": 52,
        "created_at": "2025-11-06T18:42:49.767Z"
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        "body": "Hey everyone, we’re Abdullah and Saad - cofounders of [Zag](https://zag.dev/) 👋\n\n**TL;DR**\n\n**Zag** is a platform for building and running AI review agents. You describe agents in TypeScript or Swift as composable Tasks, and Zag runs them in **real sandboxed environments** on every pull request. Agents don't just read diffs. They build your project, run your tests, boot your app, and verify that it actually works.\n\n_We've opened early access to teams building for Apple platforms (iOS, iPadOS, macOS), running on dedicated Apple Silicon with Xcode, simulators, and the full native toolchain._\n\n<https://www.youtube.com/watch?v=MuIK1woknhc>\n\n**_The Problem_**\n\nCoding agents are producing changes faster than humans can review them. Tools like Claude Code and Codex are accelerating how code gets written, but the review side hasn't kept up. Teams are merging changes they haven't fully validated, or creating bottlenecks where a handful of senior engineers review everything.\n\nStatic AI code review (inline comments on diffs) helps, but it requires more human-in-the-loop than teams can sustain. Reading AI-generated suggestions about AI-generated code doesn't scale. The kind of confidence that lets teams merge fast comes from actually building, testing, and running the code.\n\n**_Our Solution_**\n\nZag lets teams build custom review agents that run in real environments on every PR.\n\nWe believe that as human engineering work moves up a layer of abstraction, a tech lead's primary job will be tuning better review agents. Not reading diffs line by line, but shaping the automated judgment that enforces their team's engineering culture at the scale of AI-authored code.\n\nThe primary unit of work is a Task: a composable, dependency-aware unit that describes an environment and the logic that runs inside it. Tasks can spin up Claude Code, Codex, or custom agents with access to real build tools, simulators, and full operating systems. Every Task runs in an ephemeral session on dedicated Apple Silicon that boots in seconds from pre-warmed snapshots.\n\nUse built-in utilities for common checks (build verification, test execution, crash detection, App Store compliance), or write your own agents for the specific behaviors your team cares about. When applied to every PR, this helps teams merge changes as fast as they author them.\n\n**Why Apple Developers First**\n\nApple developers need macOS to build and test their code. You can't meaningfully validate an iOS app without Xcode, a simulator, and Apple Silicon. Most CI providers treat macOS as an afterthought. Zag provisions dedicated M4 hardware with no queue at $0.015/minute, priced at AWS cost. If you already have GitHub Actions or Cirrus workflows, a one-line runner swap points them at Zag compute, even before you adopt the review agents.\n\n**_Our Ask_**\n\n1. Connect us with iOS/macOS teams that are frustrated with their CI or are already using coding agents and feeling the review bottleneck.\n2. If you lead an engineering team and want to try custom review agents on your codebase, book a demo at zag.dev/book. A dedicated engineer will embed with your team to set up agents you can trust on every PR.\n3. Share this with anyone building for Apple platforms.\n\n**_The Team_**\n\n![uploaded image](/media/?type=post&id=94551&key=user_uploads/919490/d4e60f0f-0558-48f6-b318-f404ec638358)\n\n**Abdullah** built ML infrastructure at Google powering core Search systems that directly drove **$1B+ in revenue**.\n\n**Saad** spent three years training video models at Tesla Autopilot and later built training infrastructure with **Ashish Vaswani** (author of _Attention Is All You Need_).\n\nTogether, we’ve also collected **$200k+ in bug bounties** from security research.",
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        "created_at": "2025-10-10T07:18:24.526Z"
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    "long_description": "A modern solution for Startup legal.\r\n\r\nVector combines premier lawyers/paralegals (averaging 13+ years of experience) + custom-built AI, so our clients get world class startup legal service at a fraction of Big Law rates. See our client testimonials - https://www.vectorlegal.com/testimonials.\r\n\r\nServices: fundraise & priced rounds | customer contracts and commercial contracts | international flips | complex formations | grow your team | agentic data rooms | e-signatures | cap table management | legal health checks | mergers & acquisitions | co-founder separations | dissolutions.",
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        "full_name": "Mitch Duncombe",
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        "title": "Launch: Vector Legal™ - AI-native law firm + software for Startups",
        "tagline": "Experienced counsel + AI agents, integrated seamlessly into your workflows so your Startup can close deals quickly and affordably. ",
        "body": "#### Startups know the stakes - it’s move fast or die. Your lawyers should operate at the same pace, without costing an arm and a leg.\n\nVector Legal combines experienced startup legal professionals + proprietary AI to help you close your deals, quickly, at startup-friendly prices. They serve clients from Seed through Series B, handling financings, IP protection, customer contracts, hiring, founder transitions, and more. \n\nIn addition: their VectorOS platform helps founders:\n\n* manage equity and dilution,\n* draft documents,\n* review contracts with AI,\n* maintain investor-ready data rooms, and\n* ask questions across their legal docs.\n\nThe team brings deep experience in the space, having previously worked at Fenwick, YC Legal, and Ironclad.\n\nIf you’re a U.S. startup looking for a modern law firm, learn more and book a demo at[ **https://vectorlegal.com**](https://vectorlegal.com)\n\nCongrats on the launch, Keenan and Mitch 🚀",
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        "title": "Clicks: Back-office automation for recruiting and exec search firms",
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        "title": "Voltair: Network of Distributed Autonomous Drones for Earth observation",
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        "body": "![uploaded image](/media/?type=post&id=98780&key=user_uploads/2807951/942fe394-9295-4ee8-9b6d-979e050426c9)\n\nVoltair is building the worlds first globally distributed network of autonomous drones for Earth observation. [https://voltairlabs.com](https://voltairlabs.com/)\n\n![uploaded image](/media/?type=post&id=98780&key=user_uploads/2807951/5399af3e-19c1-4497-82da-618f72aa149f)\n\nPower utilities are the perfect first customer. Aging infrastructure and extreme weather drive the need for millimeter-scale inspection data on the power grid. Utilities spend tens of billions of dollars every year just looking at their own equipment. Autonomous drone fleets will enable utilities to inspect 7 million miles of infrastructure more frequently, quickly, and accurately. Our long-range, weatherized flying robots work with charging pads installed directly on utility poles. Each new pad unlocks 1000 square miles of coverage.\n\n![uploaded image](/media/?type=post&id=98780&key=user_uploads/2807951/68775f10-3f09-4b72-95fb-323fb497b334)\n\nWith a charging network deployed on the power grid, Voltair can serve existing multi-billion dollar data markets in road, rail and telecom inspection at 10x lower prices while enabling entirely new applications in hyperlocal weather monitoring, forestry, construction, search & rescue, and insurance.\n\n![uploaded image](/media/?type=post&id=98780&key=user_uploads/2807951/b2b86f38-c0de-4bd6-8ff2-ceb51eeed45c)\n\nVoltair envisions a future in which drone instances are requested on-demand through the platform, enabling any application builder to serve these critical markets without ever operating their own hardware.",
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        "title": "Voltair: Drones that Charge on Power Lines",
        "tagline": "Our drones can remain deployed indefinitely, positioned where utility companies need them most, and ready to inspect power lines at a moment’s notice. ",
        "body": "<https://youtu.be/ZSnkcbXWf7Q> \n\n**Tl;dr -** We build drones that charge directly on transmission lines. Our drones can remain deployed indefinitely, positioned where utility companies need them most, and ready to inspect power lines at a moment’s notice. \n\n**Background**\n\nThe American power grid faces unprecedented challenges. Extreme weather is more frequent, more destructive, and less predictable. From 2000 to 2023, 80% of all major outages were caused by extreme weather events. At the same time, power utilities are expected to deliver higher reliability, faster restoration, and stronger wildfire and safety outcomes. Utility investments in distribution grid hardening nearly tripled from 2003 to 2023.\n\nUtilities cannot manage what they cannot see. Today, critical information on the physical grid arrives at the speed of a person reaching the problem. Linemen need high fidelity information faster to prioritize and act decisively.\n\n**Public Utilities**\n\nOur immediate focus is providing utilities with rapid infrastructure assessments across large areas following storms, power outages, and fires.\n\nAt scale, our technology enables a step change in how utilities operate. A linemen or engineer can request imagery of a specific line span or structure and receive it immediately. A downed pole in a high-risk residential area can be located and assessed quickly. Voltair can support routine, day-to-day operational visibility as well as urgent, high-consequence events.\n\nSee more here <https://voltairlabs.com/> \n\nIf you’re interested in piloting our service, reach out to [avi@voltairlabs.com](mailto:avi@volairlabs.com)",
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        "full_name": "Rishabh Dhariwal",
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        "full_name": "Vivan Agrawal",
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        "title": "Zarna - AI Associates for Private Capital Markets",
        "tagline": "Zarna turns weeks of deal work into minutes ",
        "body": "Hey everyone [👋](https://emojipedia.org/waving-hand)\n\nWe’re Rishabh, Hrishi, Vivan, and Rakesh.\\\nWe’re building AI associates that automate deal work for firms in the private capital markets.\\\n[_(demo video_](https://youtu.be/GN8JtPZ99z8)_)_\n\n---\n\n### **Problem**\n\nDeal teams spend a surprisingly large amount of their time on repetitive processes:\\\nreviewing CIMs, rebuilding models, creating tear sheets and IC decks, updating CRMs and trackers, and piecing together context fragmented across file drives.\n\n### **What We Do**\n\nZarna connects our **cohort of AI associates** to your firm’s history. _Past deals, the CRM, shared drives, board decks, third-party databases, etc._\n\nOnce connected, they execute core work end-to-end:\n\n* Generate tear sheets, IOI materials, and IC drafts in the firm’s format\n* Convert CIM financials into diligence model structures\n* Complete all data entry & enrichment into [CRM](https://www.youtube.com/watch?v=8daMRb9IPxU)s\n* Sync operator notes & portfolio KPI trackers over time\n* Analyze CIMs, teasers, and market reports to surface what matters\n\n**The goal is simple:**\n\nWith the summaries, models, and trackers handled, investors can spend their time forming deeper views on companies and markets — building conviction faster on the right deals.\n\n---\n\n### **Why Zarna**\n\nEvery firm has its **own way** of evaluating businesses, management, and risk.\\\nSo **generic copilots fail**—they don’t understand the firm’s history, style, or decision-making patterns.\n\nThe hard part is **institutional memory and reasoning**, not text generation.\n\nWe embed forward-deployed engineers with deal teams to tune how the agents:\n\n* interpret financial signals\n* format materials\n* map market structures\n* reflect the firm’s voice and conviction process\n\nThis turns what used to live in **individuals who could walk out the door** into something **searchable, reusable, and cumulative across the firm.**\n\nThe result is not just “faster work.”\\\nIt is **firms that start each deal loaded with context instead of from zero.**\n\n---\n\n### **Backstory**\n\nPre-YC, we were forward-deployed engineers embedded in a $20B private equity firm, leading AI enablement initiatives & building agents automation across sourcing, diligence, and portfolio management.\n\nThe four of us are best friends who have been building together since college. We studied computer science, electrical engineering, & economics at UC Berkeley. We’ve explored many ideas over the last 3 years — this is the one where we saw the **problem first-hand** and **couldn’t let go of it.**\n\n![uploaded image](/media/?type=post&id=95252&key=user_uploads/1728449/63967ae3-fc76-424c-b75b-eda4a5fa528f)\n\n---\n\n### **Who is Zarna for**\n\n**We are focused on building for Private Equity, Growth Equity, Private Credit, Family Offices, & Investment Banking. Book a demo today at zarnaai.com.**\n\n### **Questions**\n\nReach out to [**rishabh@zarnaai.com**](mailto:rishabh@zarnaai.com) (630-631-9264), [hrishi@zarnaai.com](mailto:hrishi@zarnaai.com) (603-233-4478), [rakesh@zarnaai.com](mailto:rakesh@zarnaai.com) (510-458-6129), [vivan@zarnaai.com](mailto:vivan@zarnaai.com) (510-6849147)",
        "url": "https://www.ycombinator.com/launches/OmK-zarna-ai-associates-for-private-capital-markets",
        "votes": 19,
        "created_at": "2025-11-06T23:46:00.474Z"
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    "name": "Moss",
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    "long_description": "Moss is building the real-time semantic search runtime for conversational and multimodal AI. Our system enables voice agents, copilots, and chat interfaces to retrieve, reason, and respond in sub-10 ms, delivering the responsiveness that makes AI interactions feel truly natural.\r\n\r\nIf you’ve ever built a conversational or voice AI product, you’ve felt the lag. That moment when an agent pauses and the illusion of intelligence breaks. The bottleneck is almost always retrieval. Each query hops across networks and databases, adding delay and cost. Moss eliminates that gap by keeping retrieval close to where the agent runs.\r\n\r\nMoss runs natively across browsers, mobile devices, and servers with an optimized vector index built in Rust and WebAssembly. It enables teams to build AI products that feel instant, contextual, and adaptive. The experiences that sustain engagement and unlock new kinds of interaction. For our customers, this translates into tangible business value: stronger user retention, higher conversion, and entirely new product categories made possible by real-time understanding. Moss is already powering production pilots across voice AI and developer platforms, achieving sub-10 ms retrieval and 70–90% token savings compared to traditional pipelines.",
    "one_liner": "Real-time semantic search for Conversational AI",
    "team_size": 5,
    "industry": "B2B",
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      "SaaS",
      "AI"
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    "app_answers": null,
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    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
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        "full_name": "Sri Raghu Malireddi",
        "title": "Founder/CEO",
        "founder_bio": "Founder & CEO of Moss. We are developing real-time semantic search for conversational AI.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/r4ghu",
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    "jobs": [
      {
        "id": 107565,
        "title": "Machine Learning Engineer",
        "url": "https://www.ycombinator.com/companies/moss/jobs/HmK9Iqk-machine-learning-engineer",
        "location": "San Francisco, CA, US / Remote",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$60K - $300K",
        "equity_range": "0.10% - 0.50%",
        "experience": "6+ years",
        "visa": "Will sponsor",
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      {
        "id": 95036,
        "title": "Moss: Real-time Semantic Search for Conversational AI",
        "tagline": "We help conversational AI teams turn lagging, robotic interactions into natural, human-like experiences through sub-10 ms semantic search.",
        "body": "Hello YC! This is [**Sri Raghu Malireddi**](https://www.linkedin.com/in/r4ghu) from [**Moss**](https://usemoss.dev/).\n\n### **TL;DR**\n\nMoss is a high-performance runtime for real-time semantic search. It delivers sub-10 ms lookups, instant index updates, and zero infra overhead. Moss runs where your agent lives - cloud, in-browser, or on-device - so search feels native and users never wait. You connect your data once; Moss handles indexing, packaging, distribution and updates.\n\n![uploaded image](/media/?type=post&id=95036&key=user_uploads/2412081/c21db6f6-b453-40b6-a15d-5654971ab2ab)\n\n### **The Problem**\n\nIf you’ve ever built a conversational or voice AI product, you’ve felt it - that awkward pause when your agent lags or hesitates. The illusion of conversation breaks, and suddenly it feels less like talking to intelligence and more like waiting for a page to load.\n\nThe culprit is almost always retrieval. Every query hops across networks and cloud databases, adding seconds of delay. As usage scales, those small lags snowball into lost users, rising infra and egress costs. Teams spend weeks rebuilding embeddings and indexes, tuning search infra just to get “good enough” answers instead of focusing on what actually matters: building great AI experiences!\n\n### **Solution**\n\nMoss puts real-time semantic search in the same runtime as your agent and application, so you can -\n\n* **Keep retrieval close** - embed &amp; index right alongside your agents (docs, chat history, telemetry).\n* **Answer in &lt;10 ms** - local lookups, zero network hops.\n* **Manage at scale** - store, sync, and distribute indexes with our managed data layer at [**https://moss.dev**](https://usemoss.dev)\n* **Drop-in SDKs** - [**JavaScript**](https://www.npmjs.com/package/@moss-js/moss) and [**Python**](https://pypi.org/project/moss/).\n\n### **Our Story**\n\nMoss founding team knew each other for 8+ years and bring deep expertise in machine learning, high-performance computing and developer experience.\n\nSri was an ML Lead at Grammarly and Microsoft, where he shipped LLMs and personalization systems used by millions of users across Office, Bing, and Grammarly. His work on personalization drove 300% retention growth for Grammarly Keyboard and scaling models to 40M+ DAUs. He has published at top ML conferences such as ACL and holds multiple patents in real-time ML.\n\nThe idea for Moss came from our deep frustration with how slow “intelligent” systems actually felt in practice. While building large-scale agentic systems at Microsoft and Grammarly, we kept hitting the same wall - retrieval lag that made even the smartest models feel lifeless. Through evolution, humans are wired to expect instant replies; when AI hesitates, it breaks the illusion of intelligence. We started Moss to fix that by collapsing the multi-hop retrieval stack into a real-time, local-first runtime that lets AI think and respond at the speed of thought.\n\n<https://www.youtube.com/watch?v=7-PrunZVXTo>\n\n### **Who is it for?**\n\n* **Platform/Founding Eng:** Drop in realtime semantic search. No new service to run.\n* **Infra Leads:** Local retrieval to slash p95 and egress.\n* **Agent/Voice PMs:** Hit &lt;10 ms so conversations feel natural.\n* **Security/Compliance:** Keep sensitive context local (offline-ready).\n* **Data/ML Eng:** A/B embeddings &amp; index configs on your corpus - fast.\n\n### **How to onboard?**\n\n* Login to the portal - <https://moss.dev> \n* Start a new Project, create an index either through the portal or [JavaScript](https://www.npmjs.com/package/@moss-js/moss) and [Python](https://pypi.org/project/moss/) SDKs\n\n  ![uploaded image](/media/?type=post&id=95036&key=user_uploads/2412081/ecd79cf8-972e-4233-9987-e015ad49abd8)\n\n* Using our SDKs - **init**, **load** and **query** indexes in **sub-10ms**.\n\n  ![uploaded image](/media/?type=post&id=95036&key=user_uploads/2412081/60e783b7-d7d3-411a-91fd-05cbd678130a)\n\n\n### **Our Progress**\n\nWe’re seeing strong inbound pull from the market with 6 enterprise design partners and 3 paying customers actively building their products around Moss’s core tech, with 7 more actively evaluating. We’re working closely with Voice AI orchestration companies like Pipecat ([Daily.co](http://Daily.co)) and LiveKit, embedding Moss at the core of their real-time retrieval and context pipelines. Usage and revenue have been growing \\~100% week over week, and Moss is quickly becoming the foundational layer teams rely on to make AI feel instant, contextual, and truly responsive.\n\n### **Ask**\n\n* Building in Conversational AI and Voice AI?[ **Use Moss**](https://usemoss.dev) to bring real-time semantic search inside your agents to production\n* Developers -[ **Get free access**](https://form.typeform.com/to/XWeuMaar) to experiment with Moss and help shape the future of real-time conversational AI.\n\nOur contact information -\n\n* Email - [**founders@moss.dev**](mailto:founders@usemoss.dev)\n* Website - [**https:/moss.dev**](https://moss.dev)\n* Book a demo - [**Calendar Link**](https://cal.com/srimalireddi/30min)",
        "url": "https://www.ycombinator.com/launches/Oiq-moss-real-time-semantic-search-for-conversational-ai",
        "votes": 107,
        "created_at": "2025-10-30T19:54:21.747Z"
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    "id": 31018,
    "name": "item",
    "slug": "item",
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    "website": "https://item.app",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "item connects to all your customer tools, gathers and enriches context automatically, and becomes your company’s source of truth — one place where your team and your AI agents share the full picture to act autonomously.\r\n\r\nAt the center is the Assistant — your sidekick for daily work. It can send follow-ups, research leads, or add deals with a simple prompt. No complex UI, drop-downs or fields, simply ask.\r\n\r\nFor repeatable work, you build Agents that you can train like new hires, simply by writing documents that describe your processes. item Agents run business processes across sales, support, and account management autonomously.",
    "one_liner": "The AI-Native CRM that works for you",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B -> Sales",
    "launched_at": 1762209746,
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    "city": "San Francisco",
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    "linkedin_url": "https://www.linkedin.com/company/99138518",
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        "full_name": "Andres Santanilla",
        "title": "Founder/CEO",
        "founder_bio": "Building what comes after the CRM - 2nd time founder ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/asantanilla",
        "x_url": "https://x.com/asantanillaj",
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        "full_name": "Akshay Guthal",
        "title": "Founder/CTO",
        "founder_bio": "Building what comes after the CRM",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/akguthal",
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        "id": 88275,
        "title": "Product Engineer",
        "url": "https://www.ycombinator.com/companies/item/jobs/xD9P6r7-product-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$140K - $200K",
        "equity_range": "0.50% - 0.99%",
        "experience": "1+ years",
        "visa": "Will sponsor",
        "skills": [
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    "launches": [
      {
        "id": 95143,
        "title": "item: The AI-Native CRM that works for you",
        "tagline": "The CRM that knows your business and works like your best employee",
        "body": "**Hey there 👋 we’re Akshay and Andrés, and we’re building _item._**\n\nLaunch video: https://youtu.be/x8Z5QZNjdWw\n\n\\\n**In a nutshell:**\n\n_item_ is the first agentic CRM, a system that does the work. A system that understands your business the way your best employee does, and works for you 24/7.\n\nIf you’re building the future and still running on a 10-year-old CRM, let us show you what it feels like to run autonomously → [item.app](http://item.app)\n\n**Meet Item**\n\n_item_ connects to all your customer tools, gathers and enriches context automatically, and becomes your company’s **source of truth** — one place where your team and your AI agents share the full picture to act autonomously.\n\nAt the center is the _Assistant_ — your sidekick for daily work. It can send follow-ups, research leads, or add deals with a simple prompt. No complex UI, drop-downs or fields, simply ask.\n\nFor repeatable work, you build _Agents_ that you can train like new hires, simply by writing documents that describe your processes. item Agents run business processes across sales, support, and account management autonomously.\n\n\\\n**The Status Quo**\n\nAI has changed nearly every part of work. Yet the system at the center, the CRM, hasn’t evolved. It’s manual, data incomplete, and still takes trained experts to setup and automate.\n\nWe believe a CRM should know everything about your company and be able to do human-level work on your behalf, just like your best employee would.\n\n\\\n**How it works:**\n\nAfter a meeting, item helps you send a follow-up based on the notes in that meeting and your history with that customer:\n\n![uploaded image](/media/?type=post&id=95143&key=user_uploads/322839/38c59fd9-dc45-4ba6-a7db-69685a694356)\n\nitem searches the web to find information about any company or contact, allowing you to add deals with rich information without needing to enter fields yourself:\n\n![uploaded image](/media/?type=post&id=95143&key=user_uploads/322839/f34649f4-38aa-4731-9b80-d49b6d2edf0d)\n\nYou can build agents in item to automate any recurring human-level process by writing a simple, Notion-style document:\n\n![uploaded image](/media/?type=post&id=95143&key=user_uploads/322839/e61f581a-f4fa-402a-b16d-5955befb0a6e)\n\nitem gives you clean, context-rich contact and company profiles with table views and Kanban boards:\n\n![uploaded image](/media/?type=post&id=95143&key=user_uploads/322839/2607b996-e8bc-47b4-b861-0ce9c75293cf)\n\n\\\n**How companies use item Agents today to run autonomously:**\n\n* Outbound Sales: finding and contacting qualified leads on email and LinkedIn\n* Inbound Management: qualifying and responding to leads that sign up to a waitlist or a self-serve product\n* Growing Existing Accounts: tracking customer data and automatically sending personalized upsell sequences based on usage\n* Keeping Pipeline Warm: setting up item to auto-update deals from emails and meetings\n\n\\\n**The team**\n\nWe met at AngelList, building tools to help founders start and grow companies.\n\n_item_ comes from that same spirit — built with care, designed with intention, and shaped by a decade spent building systems of record at places like SAP, IBM, and Follow-Up Boss.\n\n![uploaded image](/media/?type=post&id=95143&key=user_uploads/322839/0a95c55d-4aeb-4fe0-9888-709855648103)\n\n![uploaded image](/media/?type=post&id=95143&key=user_uploads/322839/9e59aeeb-1ac0-4bc3-9d10-ce6f463974de)\n\n",
        "url": "https://www.ycombinator.com/launches/OkZ-item-the-ai-native-crm-that-works-for-you",
        "votes": 138,
        "created_at": "2025-11-03T23:52:58.025Z"
      }
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  {
    "id": 31040,
    "name": "CatchBack Cards",
    "slug": "catchback-cards",
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    "website": "https://catchbackcards.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "CatchBack Cards is a mobile app and website platform for maximizing the thrill of collecting Pokemon and Sports cards. We allow collectors to create custom mystery packs with personalized chases and customized odds with cryptographically trusted tooling. Users can rip open digital packs and get physical cards shipped to them, receive buyback offers on cards pulled from their mystery packs sent straight to Venmo and PayPal, and buy/sell cards in our $1 marketplace.\r\n",
    "one_liner": "The most thrilling way to create and rip digital collectible packs",
    "team_size": 7,
    "industry": "Consumer",
    "subindustry": "Consumer -> Gaming",
    "launched_at": 1769404688,
    "tags": [],
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2026",
    "status": "Active",
    "industries": [
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      "Gaming"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
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    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/catchback-cards",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/catchback-cards.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/109636610/admin/dashboard/",
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    "company_photos": [],
    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
    },
    "founders": [
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        "user_id": 2323858,
        "full_name": "Joseph Zhang",
        "title": "Founder/CEO",
        "founder_bio": "Previously early engineer at a crypto startup building a DEX and NFT launch platform. Former consultant at McKinsey working on AI transformation projects for large enterprises, and software engineer at AWS focused on cloud storage infrastructure.\n\nPersonally sold over $500K in Pokémon cards, giving deep familiarity with the collectibles ecosystem.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/joseph-zhang-116152187/",
        "x_url": "https://x.com/sohan_zhang",
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      {
        "user_id": 3126931,
        "full_name": "Sophia Kim",
        "title": "Founder/CPO",
        "founder_bio": "Building a gamified Web3 platform for liquidity in the collectibles space.",
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        "linkedin_url": "https://www.linkedin.com/in/sophia-sol-kim/",
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        "title": "GTM",
        "url": "https://www.ycombinator.com/companies/catchback-cards/jobs/eOn5CtQ-gtm",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$100K - $135K",
        "equity_range": "0.25% - 1.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 97374,
        "title": "Growth Intern (Fall, Winter cycles)",
        "url": "https://www.ycombinator.com/companies/catchback-cards/jobs/Z1FjbKi-growth-intern-fall-winter-cycles",
        "location": "San Francisco, CA, US",
        "type": "Internship",
        "role": "Product",
        "role_type": null,
        "salary_range": "$20 - $50 / hourly",
        "equity_range": "",
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        "visa": "US citizen/visa only",
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      },
      {
        "id": 103097,
        "title": "Video Producer (TCG, Motion graphics, Clipping)",
        "url": "https://www.ycombinator.com/companies/catchback-cards/jobs/9ObmvcV-video-producer-tcg-motion-graphics-clipping",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$85K - $150K",
        "equity_range": "0.20% - 0.50%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Adobe After Effects",
          "Adobe Premiere"
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      },
      {
        "id": 103098,
        "title": "Lead Creator & Social Media Manager",
        "url": "https://www.ycombinator.com/companies/catchback-cards/jobs/FIu37HA-lead-creator-social-media-manager",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$70K - $105K",
        "equity_range": "",
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        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 108848,
        "title": "3D Modeler",
        "url": "https://www.ycombinator.com/companies/catchback-cards/jobs/ak2YNSE-3d-modeler",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$100K - $140K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 110110,
        "title": "Software Engineer",
        "url": "https://www.ycombinator.com/companies/catchback-cards/jobs/my0vzkm-software-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $200K",
        "equity_range": "0.25% - 0.50%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 97204,
        "title": "CatchBack Cards: Maximizing the thrill of collecting trading cards",
        "tagline": "Create personalized mystery packs and flip collectibles in real time",
        "body": "Hi YC, I’m [Joseph Zhang](https://bookface.ycombinator.com/user/2323858) and I’m working with my cofounder [Sophia Kim](https://bookface.ycombinator.com/user/3126931) to build CatchBack Cards,  an iOS and web platform for maximizing the thrill of collecting Pokemon and Sports cards. We allow collectors to create custom mystery packs with personalized chases and customized odds with cryptographically trusted tooling. Users can rip open digital packs and get physical cards shipped to them, receive buyback offers on cards pulled from their mystery packs sent straight to Venmo and PayPal, and buy/sell cards in our $1 marketplace.\n\n[catchbackcards.com](http://catchbackcards.com)\n\ncatchback cards on the iOS app store\n\n![uploaded image](/media/?type=post&id=97204&key=user_uploads/2323858/bc1ee024-41f9-4255-83d2-4920a5a622ef)\n\n<https://www.youtube.com/watch?v=nFLVCQQhvcE>\n\n**What we’re building**\n\nThe trading card market is massive, fast-growing, and _very_ large in transaction volume. Globally, physical trading cards (sports, Pokémon, anime like One Piece, etc.) represent a $20B+ annual market, growing at double-digit rates (\\~10–15% YoY) even after the pandemic boom. Beyond retail sales, billions of dollars move through the secondary market each year via graded cards, private deals, and resale platforms. What’s striking is how _offline_ this economy still is: at local and regional card shows, millions of dollars change hands over a single weekend, through cash deals, trades, box breaks, and private six-figure transactions—most of it fragmented, informal, and poorly tracked. This is a real, high-velocity market hiding in plain sight.\\\n\\\nMystery packs are popular in Pokémon and sports cards, but today they’re mostly run manually or through platforms with high fees and limited transparency. CatchBack lets anyone create their own mystery packs with their desired pool of cards, risk levels, and personalized odds, and gives collectors the option to buy packs, to list cards in the marketplace, and to get an instant buyout offer on whatever they hit in the pack. We provide cryptographic randomness proofs and open source our card selection code so that users can independently verify and trust our mystery packs. Users trust our packs more because they can pick exactly what goes into their pool and can see mathematical proof, which physical mystery packs cannot recreate. \n\nWe’re also building a platform that digitizes cards and allows users to transact ownership rights to cards for just $1. Previously, eBay buyers dealt with fraud issues, ridiculous hidden fees, and shipping headaches, and we’re creating a system that allows for maximal liquidity and convenience in speculating on card investments.\n\n![uploaded image](/media/?type=post&id=97204&key=user_uploads/2323858/478ed561-02d9-403a-83d8-2496f9b6a458)\n\n![uploaded image](/media/?type=post&id=97204&key=user_uploads/2323858/f43cc95b-6446-4770-838b-e588f40ebfbc)\n\n**Who it’s for**\n\nOur users are card collectors who open mystery bags and creators (Pokémon, sports cards, slabs) who already sell to communities on Instagram, Discord, and live marketplaces. \n\n**Why we started this**\n\nWe spent a lot of time buying, selling, and comping cards across eBay, Whatnot, and Instagram DMs, and kept seeing the same problems: high fees, fragmented liquidity, and a lack of trust in mystery packs. Other blind box sites stuff their bags with undesirable floor hits and gouge their users on shipping fees, listing fees, and marketplace fees. We’ve built a platform that maximizes dollar value for collectors–maximal cashback with CatchBack. \n\n**Current state**\n\nWe launched our iOS app on Jan 25, 2026. We’re at 700 users and $13K MRR and are growing aggressively week over week. We’re launching a joint collaboration with Steph Curry’s trading card company and looking to connect with other mentors and companies in the trading card space!\n\n**How to Participate**\n\nWe’re offering a free $25 credit on a $100 deposit. Users can create a mystery pack of 5 cards that have a market value of $50, and can be guaranteed one of these $50 cards for a $25 deposit! We offer free shipping on cards. DM us on our instagram @catchback_cards after creating an account on our platform, and we’ll set you up with the credit!",
        "url": "https://www.ycombinator.com/launches/PHo-catchback-cards-maximizing-the-thrill-of-collecting-trading-cards",
        "votes": 366,
        "created_at": "2026-01-27T13:00:03.280Z"
      }
    ]
  },
  {
    "id": 31041,
    "name": "Ploy",
    "slug": "ploy",
    "former_names": [
      "[Placeholder] Bryant Chou NewCo"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ccc3c5e484f835514f0cfb2db7ddd1510a6b0be4.png",
    "website": "https://ploy.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "",
    "one_liner": "Ploy turns your website into your company's growth engine. ",
    "team_size": 14,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1780958556,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/ploy",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/ploy.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/ploy-ai",
    "x_url": "https://x.com/ployai",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
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    "primary_partner": {
      "name": "Garry Tan",
      "url": "https://www.ycombinator.com/people/garry-tan"
    },
    "founders": [
      {
        "user_id": 5667,
        "full_name": "Bryant Chou",
        "title": "Founder",
        "founder_bio": "cofounder and CTO — vungle ➡️ $LFTO (2011-2013)\ncofounder and CTO — webflow (2013-2025)",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/bryantchou",
        "x_url": "https://x.com/bryantchou",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f9509aa428b058a8eb3786903df1d3440f0637a5.jpg"
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    ],
    "jobs": [
      {
        "id": 93359,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/ploy/jobs/XsX0ycv-founding-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $250K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
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    ],
    "news": [],
    "launches": [
      {
        "id": 103433,
        "title": "Ploy turns your website into your company's growth engine.",
        "tagline": "Ploy is an all-in-one marketing platform built around your website, the hub that connects all of your growth channels.",
        "body": "After 12 years as the cofounder and CTO at Webflow I left fulfilled knowing folks can design beautiful sites without writing code — but now I'm out to make sure your website doesn't just look great, but it becomes your business' main engine of growth.\n\n<https://youtu.be/NONVS2IoDQE>\n\nAgents have changed what's possible, which is why I'm building again. Ploy deploys swarms of marketing and web design agents that monitor your site and proactively launch campaigns, content, and optimizations.\n\n**TL;DR [Ploy](https://ploy.ai/)** is the marketing platform that turns your website into your company's growth engine. Connect your site and swarms of marketing agents run it for you: designing pages, writing copy, launching campaigns, and optimizing what's working. \n\n## The Problem\n\nMost founders ship an early website and then forget about it. In the early days, a single-page site is often good enough... but once you start signing more customers, your website becomes a critical growth lever.\n\nIf you're a founder looking to activate your website, you have a few options: hire a marketing lead, work with an agency, or try to vibe code together a few landing pages and growth flows. These are expensive and distracting during a time when you should be focused on customers and your product.\n\n## The Solution\n\nPloy gives founders the marketing infrastructure of a growth team without needing to make an early hire. Here's how it works:\n\n### 1. Get your site on Ploy in minutes.\n\nPaste your URL and Ploy slurps your site down to the last pixel — extracting your design system, components, and brand content. Don't have a site yet? Ploy can design and build one from scratch, trained on thousands of modern web design patterns.\n\n### 2. Run PloyBooks — marketing strategies on autopilot.\n\nPloy's agents come pre-trained with expert skills we call PloyBooks. Spin up a set of ABM pages targeting a new account and publish them under your domain in minutes. Run an SEO audit. Redesign an underperforming landing page. Launch paid ads. And if there isn't a PloyBook for what you need, write your own, and Ploy's agents will handle the rest.\n\n### 3. Your website and your company scale together.\n\nPloy watches your traffic, spots gaps and opportunities, and proactively suggests new Ploys for you to run. And it remembers everything as you grow: every experiment, every page, every campaign that did (or didn't) resonate with your customers. Over 13% of the YC P26 companies are using Ploy to power their website and to drive automated revenue. The earlier you plug Ploy into your business, the smarter it gets about what actually works for you. \n\nAnd Ploy keeps working even after you add marketers to your team. Companies like Hex and Clay are using Ploy to run programmatic SEO engines and generate ABM pages at scale.\n\n## Why we're building this\n\nI've spent most of my career working on websites, and I think the space is about to change more in the next few years than it has in the last 15 combined. I was CTO of Vungle, then spent 12+ years as co-founder and CTO of Webflow, where I built the core product, CMS, and hosting that now power \\~1.5% of the internet.\n\nAI has unlocked a new class of agents and primitives that make the website a game-changing growth hub and marketing system of record. That's exactly why I'm stoked to be building Ploy alongside a killer founding team here in San Francisco.\n\nRun your first Ploy today: <https://ploy.ai/auth/sign-up>\n\n![uploaded image](/media/?type=post&id=103433&key=user_uploads/5667/67ea05c2-1fd3-4da2-b885-baa6f1f522fd)\n\n",
        "url": "https://www.ycombinator.com/launches/QuH-ploy-turns-your-website-into-your-company-s-growth-engine",
        "votes": 23,
        "created_at": "2026-06-17T14:06:07.903Z"
      }
    ]
  },
  {
    "id": 31047,
    "name": "Waddle Labs",
    "slug": "waddle-labs",
    "former_names": [
      "Waddle"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f525546cff510b464f7877004fcc10c8f0b97843.png",
    "website": "https://www.waddlelabs.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "",
    "one_liner": "LLMs that control robots",
    "team_size": 2,
    "industry": "Industrials",
    "subindustry": "Industrials -> Manufacturing and Robotics",
    "launched_at": 1784890498,
    "tags": [
      "Developer Tools",
      "Generative AI",
      "Robotics",
      "Automation"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
    "industries": [
      "Industrials",
      "Manufacturing and Robotics"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/waddle-labs",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/waddle-labs.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/waddlelabs/",
    "x_url": "https://x.com/theWaddleLabs",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f525546cff510b464f7877004fcc10c8f0b97843.png",
    "app_video_url": null,
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    "company_photos": [],
    "primary_partner": {
      "name": "Ankit Gupta",
      "url": "https://www.ycombinator.com/people/ankit-gupta"
    },
    "founders": [
      {
        "user_id": 2132817,
        "full_name": "Hanming Ye",
        "title": "Founder",
        "founder_bio": "Interested in how natural intelligence arises. I also like machines such as 3D printers and robots. \n\nhttps://dozenducc.github.io/",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/hanming-ye-0467b01aa",
        "x_url": "https://x.com/DozenDucc",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5b813f423ca4b4732c54817689193d5602190bf5.jpg"
      },
      {
        "user_id": 1853600,
        "full_name": "Yiding Song",
        "title": "Founder",
        "founder_bio": "Interested in systems that learn theories about the world with human-like efficiency.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/yiding-song-vincent/",
        "x_url": "https://x.com/yiding_song",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b7078e0f6f101f74db1f4584bb6cd102051bb9f0.jpg"
      }
    ],
    "jobs": [
      {
        "id": 109947,
        "title": "Founding Research Engineer",
        "url": "https://www.ycombinator.com/companies/waddle-labs/jobs/RaRUAQK-founding-research-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$175K - $350K",
        "equity_range": "1.00% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": [
          "ML",
          "Python",
          "Torch/PyTorch",
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          "Evals",
          "AI Agents",
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    "news": [],
    "launches": [
      {
        "id": 107821,
        "title": "Waddle Labs - Agents that control robots",
        "tagline": "Claude Code for robotics - prompt your robot to do physical tasks",
        "body": "Waddle is the Claude Code for robotics. Connect our API to your robot and type a prompt, then our agents write code to achieve the task in \\~20 minutes.\n\n![uploaded image](/media/?type=post&id=107821&key=user_uploads/2132817/afc74f28-33c6-450c-80c3-7f2d263f213d)\n\n### **Our Hypothesis**\n\nRobot intelligence today depends either on large end-to-end VLAs or classical approaches.\n\n\\- VLAs are difficult to customise and steer, require huge amounts of data to train, and don’t yet generalise across embodiments and environment. They face limited deployment.\n\n\\- Meanwhile, classical approaches are widely deployed for their reliability and explicit control, but are often brittle and costly to redevelop in new setups.\n\n_Does this tradeoff have to be inevitable?_\n\n**Our hypothesis:** By using agents to control robots, we combine the generalisation of VLAs with the speed and reliability of classical approaches. \n\n### **Our Solution**\n\nOur agents decomposes a goal into subtasks, and completes each subtask by viewing camera feeds, writing control code, and calling models like VLAs. The agent outputs a program that you can run and iterate on by talking to our agents. \n\n**Where we've been using Waddle internally:**\n\n\\- **Create a working policy in 20 minutes** (\"Write a program to package the box\")\n\n\\- **Generate data for model training** (\"Pick and place lego bricks at random positions 1000 times\")\n\n\\- **Facilitate robotics auto-research** (\"I am tuning a policy overnight. Reset the scene after each trial”)\\\n\\\nBecause our agents are LLMs, they inherit properties of the underlying models. Agents and the code they write are inherently generalist, so they work with any robot and any environment without additional data. Moreover, agents excel at long-horizon planning and can decompose a physical goal into subtasks, verify each stage, and re-plan on failure.\n\n**Interested in trying our agents via our preview API?** Sign up at \\[our website\\](<https://www.waddlelabs.ai/>) or email [founders@waddlelabs.ai](mailto:founders@waddlelabs.ai)\n\n### **Our Research**\n\nWaddle's agents enable new forms of scaling that we are very excited about:\n\n\\- **Scaling compositional generalization:** Our agent first wrote the “fold_grasp” skill while flipping a package; another agent later used it to fold a t-shirt. Over time, agents accumulate a library of skills, enabling future agents to compose them and achieve harder tasks.\n\n\\- **Scaling multi-robot cooperation:** Imagine an entire fleet of robots collaborating to achieve a task. For VLAs, this is a nightmare. For Waddle, simply hook up more agents. A master agent spawns subagents, coordinating multiple robots working concurrently.\n\n\\- **Scaling from scale:** We evaluated Opus 4.8, Fable 5, and GPT 5.6 Sol on a suite of manipulation tasks: larger models with larger thinking budgets consistently produce better policies. As foundation models improve, so do our robots.\n\n### **The Team**\n\nWe are @Yiding Song (Vincent) and @Hanming Ye. We met at MIT’s Research Science Institute, where Vincent was working on multimodal astrophysics models and Hanming was researching topology in the math department. Since then, we’ve become roommates at Harvard where we are either doing ML research or breaking robots - usually both.\n\nThere will be millions of robots in the future. Our mission is to enable everyone to take part in building them.",
        "url": "https://www.ycombinator.com/launches/S33-waddle-labs-agents-that-control-robots",
        "votes": 11,
        "created_at": "2026-07-27T17:45:25.918Z"
      }
    ]
  },
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    "id": 31063,
    "name": "Clara",
    "slug": "clara-2",
    "former_names": [
      "Clara Health"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9ab52625ae85ffe0da16a13dee9f82eaa1e7c33f.png",
    "website": "http://askclara.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Clara is an AI primary care and longevity practice from the team that founded and grew Circle Medical to $100M in revenue.\r\n\r\nOur mission at Clara is to add one billion years of healthspan to humanity. We do this with an AI with deep clinical knowledge, coupled with the ability to sift through medical data to detect trends and patterns that could be missed.\r\n\r\nUnlike Claude or ChatGPT, Clara can see your medical data and then act. Chat with Clara as you would a doctor and Clara can help with you make sense of symptoms, get medication refills, order and understand labs, and achieve health goals. Medical recommendations are preliminary until one of our human medical providers in the loop reviews and approves them.",
    "one_liner": "AI primary care doctor",
    "team_size": 9,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Consumer Health and Wellness",
    "launched_at": 1774031425,
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
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      "Consumer Health and Wellness"
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/clara-2",
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      "name": "Garry Tan",
      "url": "https://www.ycombinator.com/people/garry-tan"
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      {
        "user_id": 78929,
        "full_name": "George Favvas",
        "title": "Founder/CEO",
        "founder_bio": "Cofounder @ Clara. Previously cofounder/CEO at Circle Medical (S15), the fastest-growing digital-first primary care practice. Led the business over a decade through several pivots to over $100M annualized revenue and profitability.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/georgefavvas",
        "x_url": "https://twitter.com/georgefavvas",
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      },
      {
        "user_id": 2062991,
        "full_name": "Zeeshan Ahmed",
        "title": "Founder",
        "founder_bio": "Co-founder and Product Designer at Clara. Previously designed consumer app experiences at Instagram, Careem (Acquired by Uber), Circle Medical (YC15). ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/zeeshan1293/",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bf383da8a0be9c2bb9947ee1447ab70f4b38d5ec.jpg"
      },
      {
        "user_id": 3206223,
        "full_name": "Caitlin Swift",
        "title": "Founder",
        "founder_bio": "Nurse practitioner, clinical leader, and co-founder at Clara Health. Previously led clinical operations and quality at Circle Medical (S15).",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/caitlin-swift",
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    "jobs": [
      {
        "id": 87899,
        "title": "Founding AI Engineer (Healthcare)",
        "url": "https://www.ycombinator.com/companies/clara-2/jobs/4NgleVj-founding-ai-engineer-healthcare",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$130K - $210K",
        "equity_range": "0.10% - 0.40%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": [
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          "Python"
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      },
      {
        "id": 106311,
        "title": "Founding full-stack growth Engineer",
        "url": "https://www.ycombinator.com/companies/clara-2/jobs/8snci6k-founding-full-stack-growth-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$130K - $210K",
        "equity_range": "0.10% - 0.40%",
        "experience": "3+ years",
        "visa": "Will sponsor",
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    ],
    "news": [],
    "launches": [
      {
        "id": 101362,
        "title": "Clara - AI-powered primary care doctor",
        "tagline": "Clara is an AI-powered primary care doctor that reads your whole medical history, diagnoses and treats. Licensed in 50 states, with clinicians reviewing all medical decisions.",
        "body": "Clara is an AI primary care doctor. AI does the heavy lifting — pulling your full medical history from 150,000+ hospitals, reading every lab against your goals, drafting refills and orders — and a licensed clinician in your state reviews and approves every clinical decision.\n\nClara is a fully licensed primary care practice in all 50 states and can be your PCP or work alongside them.\n\n[ ](https://drive.google.com/file/d/1wHNEC0dLb3QD-VTngrig1o8TMDjtE2R5/view)\n\nClara is built by the team that founded and scaled Circle Medical to over $100M in revenue, and has raised $12M pre-seed from YC and A.Capital.\n\nTry it free: <https://askclara.com>.",
        "url": "https://www.ycombinator.com/launches/QMs-clara-ai-powered-primary-care-doctor",
        "votes": 11,
        "created_at": "2026-05-14T17:51:26.469Z"
      }
    ]
  },
  {
    "id": 31064,
    "name": "Origin",
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    "long_description": "We produce patient-derived cancer datasets for licensing to pharmaceutical and AI companies. Our data comprises matched spatial transcriptomics, H&E and clinical labels. We operate our own laboratory, where samples are processed. Samples are sourced from leading biobank / hospital networks.\r\n\r\nAs R&D workflows increasingly rely on frontier AI systems, we believe there is critical need for real world datapoints so that findings translate in the clinic.",
    "one_liner": "AI and Data for Cancer Therapeutics",
    "team_size": 8,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Drug Discovery and Delivery",
    "launched_at": 1770167044,
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      "America / Canada"
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    "year_founded": 2025,
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    "country": "US",
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        "user_id": 552024,
        "full_name": "Yash Rathod",
        "title": "Founder/CEO",
        "founder_bio": "CEO @ Origin | Computer Science @ UIUC, Computer Vision and Reinforcement Learning Research, First Prize 2022 OpenCV AI Research Competition.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/yrraadi",
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      {
        "user_id": 1327757,
        "full_name": "Malhar Bhide",
        "title": "Founder/CTO",
        "founder_bio": "CTO @ Origin | Prev: Computer Science @ UIUC, ML Research @ Wadhwani AI, Automorphic (YC S23). Published disease modeling research done in high school in Nature Scientific Reports.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/malhar-bhide-9002791a7/",
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        "id": 112652,
        "title": "Computational Biologist, Spatial Transcriptomics",
        "url": "https://www.ycombinator.com/companies/origin-bio/jobs/a7q1q8R-computational-biologist-spatial-transcriptomics",
        "location": "San Francisco, CA, US / Remote",
        "type": "Full-time",
        "role": "Science",
        "role_type": "Biology",
        "salary_range": "$140K - $170K",
        "equity_range": "0.25% - 0.50%",
        "experience": "3+ years",
        "visa": "Will sponsor",
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          "R",
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      {
        "id": 116342,
        "title": "Head of Data Partnerships",
        "url": "https://www.ycombinator.com/companies/origin-bio/jobs/9BFC3r8-head-of-data-partnerships",
        "location": "San Francisco, CA, US",
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        "equity_range": "1.00% - 1.50%",
        "experience": "6+ years",
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      {
        "id": 97480,
        "title": "Origin - Safer Cell & Gene Therapies with AI",
        "tagline": "AI designed regulatory DNA sequences to program gene expression patterns",
        "body": "\n![uploaded image](/media/?type=post&id=97480&key=user_uploads/552024/dd558bc0-b110-466f-b603-d3acb473ba54)\n\nHey everyone!\n\nWe’re Yash and Malhar from Origin.\n\n**TL;DR**\n\n* Using AI to make cell & gene therapies **safer** by designing **DNA switches and dials**.\n* Our model’s synthetic regulatory sequences program precise gene expression patterns in disease cells.\n* We’re building the **largest** **proprietary dataset** consisting millions of experimentally validated regulatory DNA sequences across many different cell and tissue types.\n* Our model **outperforms Google DeepMind’s AlphaGenome** at predicting regulatory element activity.\n\n<https://youtu.be/jCN43gOy7x8?si=pkZU6sGREgiI-EHA>\n\n**The Promise**\n\nCell and gene therapies have successfully been used to treat diseases like stage IV leukemia, retinal disease, and spinal muscular atrophy. However, their application is limited due to concerns around safety and efficacy. But this drug class holds the promise of being a **durable cure** for diseases like cancer, autoimmune, neurodegenerative, aging, and more.\n\n**The Problem**\n\nToxicity events largely arise due to our inability to control **where**, **when,** and to **what** extent genes are turned on. Regulatory DNA sequences - enhancers and promoters - function to modulate the expression of genes. Current approaches to design these sequences involve naive methods like repeats of known motifs (patterns) and random ligation. These methods either **reliably yield poor candidates** or require **brute force to search** for even one promising hit.\n\n<https://youtu.be/SDJFAJULTP0?si=IYXFHLAqU88CcaXK>\n\n**Our Solution**\n\nAxis – our state-of-the-art model – is trained to design and screen regulatory DNA to activate therapeutic genes in target disease cell-states.\n\nAxis is able to rapidly sample **millions** of functional candidates when prompted by the cell-state. We’re currently testing these sequences in the lab to produce the **largest proprietary dataset** of synthetic regulatory elements, measuring their interaction with transcription factors and the phenotypic outcomes of gene expression.\n\n**Axis’ sequences have the highest predicted expression in targeted cell types**\n\nUsing Malinois, an independent and in-vitro validated prediction model by the Broad Institute, we observed that Axis’ generated sequences had the highest transcriptional activity in the cell type they were prompted by.\n\n![uploaded image](/media/?type=post&id=97480&key=user_uploads/552024/deb58343-aec7-4554-a176-d4ff1927da9f)\n\n**Axis’ sequences contain known biological features**\n\nRegulatory DNA sequences are activated when proteins called transcription factors bind to them at specific patterns of ATGCs known as motifs.\n\nHNF4A is a known master regulator of hepatocyte and liver gene expression. We observed that in the generated sequences, its known motif most frequently occurred in HepG2 (liver cell line) targeted sequences.\n\n![uploaded image](/media/?type=post&id=97480&key=user_uploads/552024/d4e9dc1a-47c7-4599-99f3-f0b4d8980c6a)\n\n**Axis’ sequences have high diversity and explore a large design space**\n\nOver 72% of our generated sequences have no BLAT alignment match up amongst themselves (using a 20bp threshold).\n\n![uploaded image](/media/?type=post&id=97480&key=user_uploads/552024/45c66f66-c144-46ac-aea9-2739e6aae6d9)\n\n**Axis outperforms Google DeepMind’s AlphaGenome**\n\nAxis demonstrates strong performance in predictive benchmarks measuring molecular properties of real regulatory sequences. These include measures like chromatin accessibility and transcription factor protein binding.\n\n![uploaded image](/media/?type=post&id=97480&key=user_uploads/552024/f1b68778-ea47-44b1-a2fc-ee4ac39c25bf)\n\n**The ask:**\n\nIf you know or are someone working on partnerships at pharmaceutical / biotech companies working in cell & gene therapies, reach out to explore:\n\n* Partnering on regulatory sequence designs for target disease cells.\n* Getting access to our proprietary dataset of sequence properties, sequence-protein interactions, and cell-state perturbations.\n\n\\\nFeel free to reach out via email at [yash@origin.bio](mailto:yash@origin.bio)",
        "url": "https://www.ycombinator.com/launches/PMG-origin-safer-cell-gene-therapies-with-ai",
        "votes": 18,
        "created_at": "2026-02-04T21:33:23.276Z"
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    "name": "Payna",
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    "website": "https://payna.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Payna is building the AI licensing agent for regulated companies. We automate the filings, renewals, amendments, and regulator follow ups required to get licensed and stay licensed across jurisdictions, so teams no longer have to manage compliance through spreadsheets, email threads, and expensive outside firms. Starting with financial services categories like lending, debt collection, and money transmission, Payna helps companies move faster, stay compliant, and scale without adding compliance headcount linearly.",
    "one_liner": " AI Licensing Agent for Regulated Industries",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1772054441,
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    "year_founded": 2025,
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    "country": "US",
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      "url": "https://www.ycombinator.com/people/brad-flora"
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      {
        "user_id": 2660262,
        "full_name": "Aaron Chen",
        "title": "Founder/CEO",
        "founder_bio": "Worked as a product engineer at an a16z backed DeFi startup helping scale crypto products, then went on to win ETHGlobal New York and ETHGlobal Delhi while earning recognition from Business Insider and the Ethereum Foundation. After building in crypto and seeing firsthand how painful manual licensing and compliance workflows are for regulated companies, now building Payna to automate regulatory licensing and ongoing compliance.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/aaron-c2024/",
        "x_url": "https://x.com/boewu_",
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      {
        "user_id": 3168409,
        "full_name": "He Song",
        "title": "Founder/CTO",
        "founder_bio": "Founded and scaled a company at a $15M valuation as a freshman, then launched a token at $60M. Built a crypto lending product at Berkeley, spent months inside multi-state licensing workflows doing it manually. Now building Payna, automate regulatory licensing.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/he-song/",
        "x_url": "https://x.com/7_hesong",
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    "jobs": [
      {
        "id": 97487,
        "title": "Software Engineer - Full Time",
        "url": "https://www.ycombinator.com/companies/payna/jobs/ikNEbqz-software-engineer-full-time",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $180K",
        "equity_range": "0.50%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
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          "TypeScript",
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    "launches": [
      {
        "id": 98661,
        "title": "Payna: The AI Licensing and Compliance Team for Regulated Companies",
        "tagline": "Payna helps companies file lending, debt collection, insurance, MTL licenses and more across all 50 states in record time, then automates renewals and ongoing regulatory compliance so teams can focus on growth and real revenue.",
        "body": "**We are live with companies in debt collection and lending operating on tens of millions of dollars each month, compliantly.**\n\n**TL;DR:** If you are in insurance, lending, mortgage, debt collection, money transmission, digital assets, or one of the many regulated verticals that make up **trillions of dollars of economic activity,** you need licenses to operate. Payna helps companies get licensed faster, stay licensed across all 50 states, and navigate the hundreds of overlapping requirements, renewals, and filings that otherwise slow growth.\n\n<https://youtu.be/dftJNpoBPk8>\n\n**The Problem:**\n\nCompanies that touch any surface area across lending, mortgage, insurance, debt collection, money transmission, digital assets, and other regulated verticals often need licenses to operate in each state. So getting operational across all 50 states usually means **either hiring expensive paper pushing firms or manually coordinating filings across dozens of systems .**\n\nEven after filing, companies need dedicated teams or counsels to monitor different renewal schedules by state, **including annual, quarterly, monthly, odd year, and even year cycles,** while also filing ongoing amendments, reports, deficiency responses, and rule changes after approval.\n\n**The Solution:**\n\nSince going live a few weeks ago **we've already:**\n\n1. Helped a company file required debt collection licenses across multiple states in record speed, organizing forms, evidence, and regulator requirements into a structured workflow.\n2. Automatically compiled licensing checklists, renewal reports, communications, and regulatory obligations across jurisdictions, so teams know exactly what filings, renewals, and maintenance duties are coming next.\n3. Monitored regulatory updates and surfaced upcoming rule changes early, giving companies time to respond before new requirements become compliance issues.\n4. Signed six figures in annual contract, reflecting how painful licensing and compliance operations are for companies trying to launch in new states, operate securely, and protect revenue without hiring large compliance teams or relying on slow firms charging massive billable hours.\n\n**What We're Looking For:**\n\nIf you know any **Chief Compliance Officers, Heads of Compliance, General Counsel, Operations Leaders, or Founders** at companies in debt collection, lending, mortgage, insurance, money transmission, digital assets, or other regulated industries that need help getting licensed across jurisdictions and managing ongoing compliance, we would love to talk at [founders@payna.com](https://payna.com)!\n\n**The Team:**\n\nWe are from UC Berkeley, with deep experience in AI and crypto. We met in Blockchain at Berkeley, and our last venture as a crypto lending company ran directly into the licensing wall, which is why we decided to solve this problem ourselves.\n\n[Aaron](https://www.linkedin.com/in/aaron-c2024/), CEO previously worked as a product engineer at an a16z crypto backed DeFi startup and saw firsthand how licensing bottlenecks delayed launches for months.\n\n[He](https://www.linkedin.com/in/he-song/), CTO built products across early stage fintech and crypto and got tired of watching founders wait 12 months for permission to launch something they built in 12 weeks.\n\n![uploaded image](/media/?type=post&id=98661&key=user_uploads/2660262/9b6aa5c3-3020-45bd-ab0d-a17b6f7510d3)\n\n",
        "url": "https://www.ycombinator.com/launches/PfJ-payna-the-ai-licensing-and-compliance-team-for-regulated-companies",
        "votes": 21,
        "created_at": "2026-03-10T15:21:55.874Z"
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    "id": 31081,
    "name": "One Robot",
    "slug": "one-robot",
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    "website": "https://www.onerobot.io/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "One Robot builds simulation environments that are realistic to see and realistic to interact with, so robotics teams can train and evaluate robot policies without being bottlenecked by robot time.\r\n\r\nToday, improving a VLA often means more real-world hours: setting up the scene, running trials, resetting, and repeating. This loop is slow, expensive, and hard to scale. For example, material handling and manufacturing assembly tasks, models need far more training and evaluation data than teams can collect in the real world.\r\n\r\nWe use task-specific data to build world model-based simulation environments for hard manipulation tasks (for example, textiles and box folding). These environments help teams run more training and evals, find failure modes faster, and accelerate iteration on action policies with less dependence on real-world data collection and robot availability.\r\n",
    "one_liner": "World models for robot evals and training.",
    "team_size": 2,
    "industry": "Industrials",
    "subindustry": "Industrials -> Manufacturing and Robotics",
    "launched_at": 1771897545,
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    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2026",
    "status": "Active",
    "industries": [
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      "Manufacturing and Robotics"
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/one-robot",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/one-robot.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/112377363/",
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    "primary_partner": {
      "name": "Jon Xu",
      "url": "https://www.ycombinator.com/people/jon-xu"
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        "user_id": 1279427,
        "full_name": "Hemanth Sarabu",
        "title": "Founder/CEO",
        "founder_bio": "Bringing robots to life using world models and machine learning. Previously built robot learning and perception systems at Industrial Next, Symbio Robotics, NASA JPL, and Google. Bootstrapped geospatial AI company, Crescer AI, to profitability.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/hemanth-sarabu/",
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      {
        "user_id": 3158361,
        "full_name": "Elton Shon",
        "title": "Founder/CTO",
        "founder_bio": "Robotics, SW/FW. Previously built robot learning and control system at Industrial Next and helped build Dojo at Tesla.",
        "is_active": true,
        "linkedin_url": "www.linkedin.com/in/elton-shon",
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        "id": 93969,
        "title": "Founding Machine Learning - World Models",
        "url": "https://www.ycombinator.com/companies/one-robot/jobs/Y0Ex6AF-founding-machine-learning-world-models",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
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        "role_type": "Machine learning",
        "salary_range": "$150K - $275K",
        "equity_range": "0.10% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
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        "id": 93970,
        "title": "Founding Machine Learning - Eval Layer",
        "url": "https://www.ycombinator.com/companies/one-robot/jobs/LDM2P6d-founding-machine-learning-eval-layer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
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        "id": 93971,
        "title": "Founding Robot Learning",
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        "location": "San Francisco, CA, US",
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        "experience": "Any (new grads ok)",
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      {
        "id": 96233,
        "title": "Machine Learning Intern ",
        "url": "https://www.ycombinator.com/companies/one-robot/jobs/tJSlTgB-machine-learning-intern",
        "location": "San Francisco, CA, US",
        "type": "Internship",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$6K - $8K / monthly",
        "equity_range": "",
        "experience": null,
        "visa": "US citizen/visa only",
        "skills": [
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          "Torch/PyTorch",
          "Machine Learning",
          "Computer Vision"
        ]
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    ],
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    "launches": [
      {
        "id": 98129,
        "title": "One Robot - World models for robots",
        "tagline": "Building world model-based environments for robot training and evaluation",
        "body": "![uploaded image](/media/?type=post&id=98129&key=user_uploads/3158361/00dc56f4-3ce6-46b4-afbc-9da0a28bf72f)\n\n**TL;DR**\n\nOne Robot builds world model-based simulations that are realistic to see and realistic to interact with, so robotics teams can train and evaluate robot action models (VLA) without being bottlenecked by robot time.\n\n**The Problem**\n\nImproving a VLA today often means more real-world hours: setting up the scene, running trials, resetting, and repeating. This loop is slow, expensive, and fundamentally unscalable. To generalize, models need far more training and evaluation data than teams can realistically collect in the real world.\n\nHemanth and Elton used to train robots to automate the assembly of parts requiring sub-millimeter precision. As models got better, they hit a surprising bottleneck: it started taking longer to evaluate a new policy than to train it. To answer “Is model B better than model A?”, they had to:\n\nSchedule a physical robot → run tests → reset scene → record failures → tweak → retrain models → repeat.\n\nSimulations should solve this. But existing simulators fall short because they’re either not photorealistic or not physics-realistic. Neither is sufficient for learning and evaluating modern robot policies.\n\n**The Solution**\n\nWe build task-specific world models that learn contact dynamics and visual appearance from robot data, and use them to generate realistic simulation environments for training and evaluation. Instead of relying on generic physics engines, our models predict how objects move and deform under robot actions, achieving photo- and physics-realistic rollouts for hard manipulation tasks like textiles and box folding. These environments help teams run more training and evals, find failure modes faster, and accelerate iteration on action policies with less dependence on real-world data collection and robot availability.\n\n**The Team**\n\nHemanth built ML systems for robots at Google, NASA JPL, Symbio Robotics, and Industrial Next (YC W22). He previously bootstrapped a profitable geospatial AI company and built vehicle simulations at McLaren.\n\nElton spent five years at Tesla, building robotics and large-scale AI infrastructure for factory automation during the Model 3 production ramp and the Dojo supercomputer team. He later joined Industrial Next (YC W22) as head of software, building robot learning and control systems.\n\n**Ask**\n\nIf you or someone you know is training robots for real-world tasks with manipulators, let’s connect! ([founders@onerobot.io](mailto:founders@onerobot.io))\n\n<https://youtu.be/ihIiViSv2kI>",
        "url": "https://www.ycombinator.com/launches/PWj-one-robot-world-models-for-robots",
        "votes": 18,
        "created_at": "2026-02-25T03:42:19.254Z"
      }
    ]
  },
  {
    "id": 31085,
    "name": "Janeen",
    "slug": "janeen",
    "former_names": [
      "Ruma Care"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/841e137150527d4b0f94be4164e696d52b970a81.png",
    "website": "https://janeen.care",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Janeen is built for infusion clinics. We handle prior authorizations and benefit investigations from start to finish (actually though!).\r\n\r\nBiologics are expensive medications that cost $80-$150K+ per year per patient, and often need to be administered in specific settings called infusion clinics. Medical providers buy these drugs up front to secure pricing deals and safer inventory - they are reimbursed for the cost of the medications through the patients’ insurance. \r\n\r\nCurrent medical workflows aren't built for infusion clinics. Inventory, storage, transport, and billing is still managed through paper and excel spreadsheets. And because they’re so expensive, these specialty medications are denied by insurers at a rate of 37% each year. When they are denied, when workflows fail, or patients are infused before paperwork is cleared, providers don’t get reimbursed for the medication and are left covering the costs. Ruma Care solves this so clinics get paid, patients get treated faster, and care teams spend less time fighting forms. \r\n\r\nWe work with clinics across the country and have removed 95% of all manual labor in the process.",
    "one_liner": "Prior auths and benefits investigation for infusion clinics ",
    "team_size": 5,
    "industry": "Healthcare",
    "subindustry": "Healthcare",
    "launched_at": 1769561054,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2026",
    "status": "Active",
    "industries": [
      "Healthcare"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/janeen",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/janeen.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/janeen-care/",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/841e137150527d4b0f94be4164e696d52b970a81.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Jon Xu",
      "url": "https://www.ycombinator.com/people/jon-xu"
    },
    "founders": [
      {
        "user_id": 2091502,
        "full_name": "Meng Fei Shen",
        "title": "Founder/CEO",
        "founder_bio": "Founder & CEO @ Janeen (formerly Ruma Care). Previously, led Uber One global to 13M+ members and AI integrations for 100K+ suppliers at Walmart Data Ventures. Runs a 120+ person music collective in SF @juicytrees",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/mengfei-shen/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/562da7dc515d2f39415fae05f4dd537bac11796e.jpg"
      }
    ],
    "jobs": [
      {
        "id": 97127,
        "title": "Product Engineer",
        "url": "https://www.ycombinator.com/companies/janeen/jobs/fUj2G2Y-product-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$100K - $220K",
        "equity_range": "0.25% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 104196,
        "title": "Chief of Staff",
        "url": "https://www.ycombinator.com/companies/janeen/jobs/UgjTPgk-chief-of-staff",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$100K - $160K",
        "equity_range": "0.15% - 1.00%",
        "experience": "1+ years",
        "visa": "Will sponsor",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 97245,
        "title": "Ruma Care: We help clinics get patients on their biologics faster",
        "tagline": "Automating prior auths for the most expensive meds",
        "body": "Ruma Care automates prior authorizations - we’re starting with clinics that administer the most expensive specialty medications.\n\nBiologics are expensive medications that cost $80-$150K+ per year per patient, and often need to be administered in specific settings called infusion clinics. Medical providers buy these drugs up front to secure pricing deals and safer inventory - they are reimbursed for the cost of the medications through the patients’ insurance.\n\nBecause they’re so expensive, these specialty medications are **denied by insurers at a rate of 37% each year**. When they are denied, **providers don’t get reimbursed for the medication and are left covering the costs.** Ruma Care solves this so clinics get paid, patients get treated faster, and care teams spend less time fighting insurance.\n\n### **Launch Video + Ruma Demo**\n\n[**https://youtu.be/WwAa5VreO0M**](https://youtu.be/WwAa5VreO0M)\n\n### **Problem**\n\nClinics can lose money when prior authorizations are denied.\n\nSpecialty medications like biologics cost $80K/year, which is why insurers are highly specific with requirements on access. Clinics are required to follow complex, hidden requirements such as:\n\n* Trying cheaper drugs first\n* Using specific drug brands or biosimilars\n* Submitting through fax instead of portals\n\nNone of this is standardized. Each insurance company has different rules, and those rules change quarterly.\n\nClinics with high volume spend thousands of man-hours on completing these forms: the average prior auth takes 30 minutes and is still submitted through paper, fax, and phone.  When it is denied, the process can stretch into weeks or months of appeals, phone calls, and faxes.\n\nDuring this time, clinics have already invested staff time and often administered high-cost drugs. If reimbursement is denied, that cost is never recovered.\n\n### **Product**\n\nWe do solve the problems in 3 ways:\n\n1. For each medication, diagnosis, and insurance combination, Ruma extracts the submission criteria required to get the drug approved by insurers.\n2. We pull out the correct forms, then automate the form-filling for prior authorizations.\n3. Lastly, we enroll patients in copay assistance programs, all in one workflow and platform.\n\nWe turn a process that traditionally spans 70+ online portals, disparate paper forms, and manual phone calling into a single, streamlined platform. As we process prior authorizations, our models learn from denial patterns to understand exactly what insurers need to see to get a prior authorization approved.\n\nWe are live across clinics in California and Nevada, and helped them cut the denial rates by 50% and reduce staff time per prior auth by 20x.\n\n### **Our Story**\n\nI quit my big tech job to work as a medical assistant. I wanted to understand why specialty medication access in America is so hard.\n\nChristina experienced this as a patient herself, she spent years fighting payers to get on her biologic treatments.\n\nWe met at Yale’s CS50 class freshmen year and built a Yale dining app for food ratings. We took an entrepreneurship break to work in Big Tech (Apple, Uber, & Walmart), and startups (Medallion, Sigma), scaling Uber One across 13M+ users and building ML models for Siri and iPhone users. We built products for customers like United Health Care and the U.S. Health & Human Services. Now we’re building Ruma Care.\n\nHere’s more about our story: [**https://substack.com/home/post/p-176970044**](https://substack.com/home/post/p-176970044)\n\n### **New Launch of Formulary Navigator - Free tool for providers**\n\nWe spoke with 150+ providers. Every one said navigating insurance coverage rules is their #1 challenge.\n\nSo we created the **Ruma Formulary Navigator.**\n\nProviders can enter the insurance plan, medication, and diagnosis, and instantly see coverage rules and prior authorization requirements. <https://ask.rumacare.com>\n\nAnd we’re providing this for free to bring better access and knowledge to the medical community. \n\nIf you know any hospital administrators, doctors, and coordinators at infusion clinics and hospital systems, we’d appreciate an introduction. \n\nFeel free to share this with any doctors, nurses, or medical admin staff struggling to understand new formulary changes in 2026: \n\n![uploaded image](/media/?type=post&id=97245&key=user_uploads/2091502/a9b48325-b1a3-492a-9687-f6733602764b)\n\n![uploaded image](/media/?type=post&id=97245&key=user_uploads/1967697/468d68f7-8ea2-4b53-97b4-f2191f8510fe)\n\n### **Our Ask**\n\nIf you know any hospital administrators, doctors, and coordinators at infusion clinics and hospital systems, and tech forward digital health clinics, we’d appreciate an introduction.\n\nThank you dearest gentle reader, [Meng Fei](https://www.linkedin.com/in/mengfei-shen/) & [Christina](https://www.linkedin.com/in/christina-lee-huang/)",
        "url": "https://www.ycombinator.com/launches/PIT-ruma-care-we-help-clinics-get-patients-on-their-biologics-faster",
        "votes": 1857,
        "created_at": "2026-01-29T18:57:44.438Z"
      }
    ]
  },
  {
    "id": 31086,
    "name": "Prescience, Inc.",
    "slug": "prescience-inc",
    "former_names": [
      "HouseAI",
      "Prescience"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9318ef0555c0ad2e5ce6049908b655658d073f1f.png",
    "website": "https://www.getprescience.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Prescience is the preeminent health benefits platform for the world's most ambitious companies. We save employers 20-50% on health insurance while offering best-in-industry health benefits: www.getprescience.com\r\n\r\nAbout us:\r\nPrescience is building a new healthcare system for America. We train AI systems to: create, operate, insure, and deliver healthcare for employer health plans. Prescience Time Machine – an AlphaGo-like system – steers patients towards “Move 37 health trajectories” that deliver dramatic cost savings for employers. Rishab Jain and Aditya Jain, M.D. are serial entrepreneurs and brothers from Harvard & Harvard Medical School with backgrounds in machine learning and medicine. We believe abundant intelligence will bring an opportunity to fundamentally rebuild the $4.5T healthcare industry around proactive (prescient) health and wellness.",
    "one_liner": "Superintelligent health insurance that keeps employees healthy",
    "team_size": 5,
    "industry": "Healthcare",
    "subindustry": "Healthcare",
    "launched_at": 1780947683,
    "tags": [
      "B2B",
      "Health Insurance",
      "Insurance"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
    "industries": [
      "Healthcare"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/prescience-inc",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/prescience-inc.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/prescienceinc/",
    "x_url": "https://x.com/getprescience",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/prescience-2bc9",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/9318ef0555c0ad2e5ce6049908b655658d073f1f.png",
    "app_video_url": null,
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    "company_photos": [],
    "primary_partner": {
      "name": "Ankit Gupta",
      "url": "https://www.ycombinator.com/people/ankit-gupta"
    },
    "founders": [
      {
        "user_id": 1330533,
        "full_name": "Rishab Jain",
        "title": "Founder/CEO",
        "founder_bio": "Building a prescient healthcare system. Prev. CS/Neuro @ Harvard College",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/rishab-jain-k",
        "x_url": "https://twitter.com/rishabjaink",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/57cc4755f0ec35b55ceb82a08fc87b934da21b5a.jpg"
      },
      {
        "user_id": 3202469,
        "full_name": "Aditya Jain",
        "title": "Founder/President & COO",
        "founder_bio": "Building a prescient healthcare system. MD, Harvard Medical School.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/adityajain2000/",
        "x_url": "https://x.com/adityajain_42",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/92d44ac319ea99329f44e1c1f8d5098cd8810e81.jpg"
      }
    ],
    "jobs": [
      {
        "id": 107013,
        "title": "ML Research Engineer",
        "url": "https://www.ycombinator.com/companies/prescience-inc/jobs/YcWt3KT-ml-research-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$250K - $350K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
          "TypeScript",
          "Machine Learning",
          "Deep Learning",
          "Next.js"
        ]
      },
      {
        "id": 107167,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/prescience-inc/jobs/O7WXOyJ-founding-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$180K - $250K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 107168,
        "title": "Founding Operations / Head of Operations",
        "url": "https://www.ycombinator.com/companies/prescience-inc/jobs/zS3Q0ob-founding-operations-head-of-operations",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$180K - $240K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 114034,
        "title": "Founding GTM",
        "url": "https://www.ycombinator.com/companies/prescience-inc/jobs/9RA2c6M-founding-gtm",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$110K - $235K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
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    "launches": [
      {
        "id": 106632,
        "title": "Prescience: Superintelligence for the American health system",
        "tagline": "A new health insurance that saves employers money and keeps employees healthy.",
        "body": "Hey YC, we're [Rishab Jain](https://www.linkedin.com/in/rishab-jain-k/) and [Aditya Jain, MD](https://www.linkedin.com/in/adityajain2000/). \n\nToday, we’re announcing Prescience 🔮: health insurance for the age of abundant intelligence. Prescience is taking on United, Blue Cross, and every other incumbent to build the first health insurance company that doesn’t suck.\n\n**TL;DR -** Prescience is a health insurance solution built for a world with AGI. We help cut premiums by 20%, offer $0 deductibles, include GLP-1s and other modern medicines, and have no hidden fees: we’re only paid when we save you money. We’re already helping some of America’s most ambitious companies save money, provide better benefits, and keep employees healthy so they can focus on their business. [www.getprescience.com](http://www.getprescience.com)\n\n[youtube.com/watch?v=PBqyj9zP4BY&amp;feature=youtu.be](http://youtube.com/watch?v=PBqyj9zP4BY&feature=youtu.be)\n\n**The Problem**\n\nHealthcare is a $6 trillion industry in America. For most companies it's the second-highest line item on their P&amp;L, with costs rising about 15% every single year.\n\nEmployers keep paying more and getting less. Deductibles climb and the best benefits get cut. Even employees with \"good\" insurance still end up with denied claims, surprise bills, and debt.\n\nNothing changes because the entire industry is built to take a cut of your premium. When care gets more expensive, all of the middlemen make more money. They couldn’t care less if your people get more healthy.\n\n**Our Solution**\n\nPrescience is an AI-native health insurance that flips the incentive. Get a quote without speaking to middlemen, and get better health benefits at lower cost. That adds up to roughly **20% lower premiums**, and **better-than-platinum health benefits** like $0 deductibles, no middlemen, no fees. For YC companies, we have a Deal running with Free Wearables and GLP-1s covered.\n\nHere's how we deliver. **Time Machine** is our reinforcement learning system trained on medical histories. The same way AlphaGo found \"Move 37,\" a move no human would have played that turned out to be brilliant, Time Machine searches millions of possible health trajectories for each member and finds the non-obvious path that keeps them healthiest. Then it steers care toward that path: the right screening at the right moment, the right behavior, before a small issue ever becomes a hospital bill. We’re running a separate waitlist for YC companies who want to try Time Machine for personal use: <http://getprescience.com/time-machine-waitlist>\n\n![uploaded image](/media/?type=post&id=106632&key=user_uploads/3202469/9ec81a8e-0484-4a24-873c-9aafa87d8124)\n\nTime Machine is paired with **Crystal**: our care navigation assistant in your pocket. As an MD, I’ve seen how patients struggle to manage the labyrinth of healthcare. Hours of phone calls and wait times. Pouring through confusion insurance documents. No more - Crystal can book visits for you, answer questions about your health, and pay your bills.\n\n![uploaded image](/media/?type=post&id=106632&key=user_uploads/3202469/6d96fb46-38d8-4b14-934d-c070c77b13b4)\n\nInstead of today’s health insurance experience that forces employers to talk to brokers for weeks just to get covered, employers on Prescience get a quote in days and a plan that automatically tracks savings and does filings. We don’t just sit around and collect money from premiums, but actually try to make your employees healthy.\n\n![uploaded image](/media/?type=post&id=106632&key=user_uploads/3202469/869b2f99-6114-43c4-b8a3-4630545de430)\n\nWe are a real, full-stack solution. We’ve built out and partnered to deliver quotes, banking, HSA, MSO-PC, legal, compliance, network, risk, and any other solutions, We have a national team of top doctors who we negotiate with directly - no middlemen - and who we are able to offer fast payment, clear patient histories, and no admin paperwork. They in turn offer us heavy discounts we pass on to employers.\n\n**The Team**\n\nRishab and Aditya are brothers and serial entrepreneurs. Rishab (CEO) studied CS &amp; Neuro at Harvard, is an RSI alumni, won the International Science and Engineering Fair, and previously founded and exited an edtech company. Aditya (President/COO) earned his MD from Harvard Medical School, has been doing ML research since 2014, and is an Op-Med Fellow at Doximity.\n\nPrescience aims to rebuild the entire $6T American healthcare industry into one that is proactive and prescient, not reactive. Our vision is to be both payer and provider, as our proprietary AI and data becomes ready to take on all of medicine.\n\nReach us anytime at [founders@getprescience.com](mailto:founders@getprescience.com).\n\n**Our Ask**\n\n1. **If you’re a founder, get your quote:** at [getprescience.com](http://getprescience.com) and **use our YC deal on Bookface**! Free GLP-1 weight loss program, genetic testing, and white-glove support.\n2. **Intro us to enterprise:** Founders, Chief People Officers, Benefits Managers, Chief Medical Officers, CFOs, HRIS Platforms, or Brokers, especially at companies reviewing 2027 benefits!",
        "url": "https://www.ycombinator.com/launches/Rjs-prescience-superintelligence-for-the-american-health-system",
        "votes": 61,
        "created_at": "2026-07-21T14:07:46.343Z"
      }
    ]
  },
  {
    "id": 31088,
    "name": "RunAnywhere",
    "slug": "runanywhere",
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    "website": "https://www.runanywhere.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "RunAnywhere runs open-weight models at full speed wherever a company needs them. Wally is our inference stack for open models: serverless inference, BYOC, or on-prem, so code and data never leave their network. One command puts a Wally-served model inside Claude Code, DeepSeek Harness, OpenCode, Hermes, OpenClaw, etc. When a model fits on the device, the same tooling runs it locally through our open-source SDKs for iOS, Android, macOS, Windows, Linux, and web, built on kernels written by our agentic harness for Apple and Qualcomm silicon (10K+ GitHub stars).",
    "one_liner": "Fastest inference anywhere: open models on-prem, hosted or on-device",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1767296079,
    "tags": [
      "Developer Tools",
      "Open Source",
      "Infrastructure",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2026",
    "status": "Active",
    "industries": [
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      "Infrastructure"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/runanywhere",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/runanywhere.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/runanywhere/",
    "x_url": "https://x.com/RunAnywhereAI",
    "fb_url": null,
    "cb_url": null,
    "github_url": "https://github.com/RunanywhereAI",
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    "primary_partner": {
      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
    },
    "founders": [
      {
        "user_id": 725397,
        "full_name": "Sanchit Monga",
        "title": "Founder/CEO",
        "founder_bio": "Former Intuit engineer building RunAnywhere, the infrastructure layer for deploying fast, private, multimodal AI on-device at scale.\n\nDeep background in mobile SDKs, platform tooling, and developer products, including systems used by 50M+ active users. Previously founded products across consumer discovery, context management, agentic documentation, and mobile testing, and now focused on making on-device AI production-ready across mobile, edge, and embedded devices.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/sanchitmonga22/",
        "x_url": "https://x.com/sanchitmonga22",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4df4145bbb5414a5759e0cd88d32ebaf4190a401.jpg"
      },
      {
        "user_id": 2862507,
        "full_name": "Shubham Malhotra",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder & CTO of RunAnywhere (W26). Built MetalRT: the first complete multi-modal inference engine for Apple Silicon. Custom Metal GPU kernels that pushed on-device voice AI from 900ms to ~110ms. Ex-Amazon EC2 Spot ($100M+ ARR), Ex-Microsoft Azure. Peer-reviewed researcher.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/shubham-malhotra-fg890a23a/",
        "x_url": "https://x.com/ShubhamMal72313",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/36de7fe20c276b5c28fa88ab307242c6cda7a811.jpg"
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    ],
    "jobs": [
      {
        "id": 98717,
        "title": "Developer Relations & Technical Content Intern",
        "url": "https://www.ycombinator.com/companies/runanywhere/jobs/ZJD016N-developer-relations-technical-content-intern",
        "location": "Remote",
        "type": "Internship",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$750 - $1.5K / monthly",
        "equity_range": "",
        "experience": null,
        "visa": "US citizenship/visa not required",
        "skills": [
          "Android",
          "LLMs"
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      }
    ],
    "news": [
      {
        "title": "MetalRT brings the first unified AI inference engine to Apple Silicon",
        "url": "https://www.msn.com/en-us/news/other/metalrt-brings-the-first-unified-ai-inference-engine-to-apple-silicon/ar-AA1YLTt1",
        "date": "Mar 17, 2026"
      },
      {
        "title": "RunAnywhere Is Building the Infrastructure Layer for On-Device AI at Scale ",
        "url": "https://techbullion.com/runanywhere-is-building-the-infrastructure-layer-for-on-device-ai-at-scale/",
        "date": "Mar 09, 2026"
      },
      {
        "title": "Regulated Industries Are Rewriting Their AI Architecture",
        "url": "https://nexttechtoday.com/tech/ai/regulated-industries-are-rewriting-their-ai-architecture/",
        "date": "Mar 09, 2026"
      },
      {
        "title": "From Cloud Dependence to Instant AI: The Rise of On-Device Voice Agents - New York Weekly",
        "url": "https://nyweekly.com/tech/from-cloud-dependence-to-instant-ai-the-rise-of-on-device-voice-agents/",
        "date": "Mar 09, 2026"
      },
      {
        "title": "Why the Next Wave of AI Will Run on Your Phone - CEOWORLD magazine",
        "url": "https://ceoworld.biz/2026/03/06/why-the-next-wave-of-ai-will-run-on-your-phone/",
        "date": "Mar 06, 2026"
      }
    ],
    "launches": [
      {
        "id": 117440,
        "title": "Wally by RunAnywhere: The fastest inference for open frontier models",
        "tagline": "Open-weight frontier models at real-time speed for voice and agent products, live on day one. Serverless, BYOC or on-prem.",
        "body": "Hi, we're Sanchit and Shubham, co-founders of RunAnywhere (W26), and we're launching Wally: our inference stack for open frontier models, hosted on our GPUs or deployed on yours.\n\n<https://youtu.be/m_T2Diow3_M>\n\n**TL;DR:** Wally serves GLM-5.3 Flash at 380 tokens per second with a 274 ms first token, faster than any endpoint on Artificial Analysis (Sep 28, 2026). New models land on day zero: Xiaomi's MiMo-V2.6-Pro was ready to serve about 8 hours after its weights dropped, and runs at 3x the speed of Xiaomi's own API (Artificial Analysis, Sep 21, 2026). The same stack deploys on-prem/BYOC at the same speed. [Sign up](https://runwally.com) and get $5 in free credits.\n\n## The problem\n\nFrontier models are slow and expensive, and you feel it most in products that run a model in a loop. A voice agent has a few hundred milliseconds before a turn feels broken. A coding agent waits for the first token on every tool call, dozens of times per task.\n\n## How Wally works\n\nWally is our inference stack for open frontier models: our own kernels, speculative decoding, and prefill kept off the decode path so a long prompt never stalls someone else's stream. We tune it per model and per traffic pattern. It runs in two places.\n\n**Hosted by us.** An OpenAI-compatible endpoint on our own GPUs, so anything that takes a base URL and a key works unchanged. Standard per-token pricing. Live today:\n\n* **GLM-5.3 Flash:** 380 tok/s\n* **DeepSeek V4.1 Flash:** 615 tok/s\n* **Qwen3.8-27B:** 485 tok/s\n* **MiMo-V2.6-Pro:** 320 tok/s\n* **GLM-5.3 Max:** 790 tok/s\n\n**Deployed for you.** The same stack on GPUs you own, in your cloud account, or on a dedicated instance we run. Same speed, your own models and fine-tunes, your traffic stays in your environment, and at token-heavy volumes it costs less than paying per token.\n\n## New models on day zero\n\nMiMo-V2.6-Pro, the top open-weights model on Artificial Analysis (Sep 21, 2026), was ready and running 3x faster than anyone else in 8 hours after Xiaomi published the weights.\n\n## The numbers\n\nArtificial Analysis lists 19 providers serving the same GLM-5.3 Flash weights (Sep 24, 2026), and Wally is 8.6x faster than Z.ai. Same model; the only difference is how it's served. Ours: 380 tok/s and a 274 ms first token, measured the same way.\n\n![uploaded image](/media/?type=post&id=117440&key=user_uploads/725397/e68127c0-8f31-4fe8-bbe2-44f587f09e67)\n\n## Beyond the benchmark\n\nBenchmarks don't always match reality, so we ran a real prompt on four providers, three times: GLM-5.3 Flash in the same OpenCode harness on Wally, Nebius, Fireworks and Z.ai, all building a game at once.\n\n<https://youtu.be/yc-KVBwuWC0>\n\n![uploaded image](/media/?type=post&id=117440&key=user_uploads/725397/eaf90b9c-3be5-405a-9177-cca618fe81ea)\n\nThe same model reasons more or less on the same prompt from run to run, on every provider, so finish times look close even when the work isn't. Tokens per second of wall clock is the stable number: Wally 213, Nebius 149, Fireworks 68, Z.ai 47, averaged across the runs.\n\n## Get started\n\nPaste this into your coding agent:\n\n```\nset up https://runanywhere.ai/SKILL.md\n```\n\nWorks with Claude Code, Claude Desktop and OpenCode. $5 free on signup, no card. Standard per-token pricing after that.\n\n## Why we built it\n\nWe spent nine months making open models fast on phones and laptops, with our own inference engines for Apple and Qualcomm chips ([runanywhere-sdks](https://github.com/RunanywhereAI/runanywhere-sdks?utm_source=launchyc&utm_medium=post&utm_campaign=wally-launch), 10K+ GitHub stars). Our users kept needing models too big for the device, and nobody served open frontier models fast enough for a real-time loop. None of our work was specific to phones, so we pointed it at data-center GPUs.\n\n## Our ask\n\n* **If you run a voice or agent product and latency or the inference bill hurts,** email [founders@runanywhere.ai](mailto:founders@runanywhere.ai) and we'll make it faster.\n* **If a customer has asked you for on-prem,** intro us. We deploy on their GPUs.\n* **Try it** and tell us what broke: [runwally.com](https://www.runwally.com/)\n\n[Docs](https://docs.runanywhere.ai/?utm_source=launchyc&utm_medium=post&utm_campaign=wally-launch) · [X @RunAnywhereAI](https://x.com/RunAnywhereAI)",
        "url": "https://www.ycombinator.com/launches/UYC-wally-by-runanywhere-the-fastest-inference-for-open-frontier-models",
        "votes": 12,
        "created_at": "2026-09-29T18:59:15.687Z"
      },
      {
        "id": 97041,
        "title": "RunAnywhere: The default way to run On-Device AI at scale",
        "tagline": "One SDK + Control Plane to Deploy, Route, Update, and Observe On-Device AI – Offline-First, Hybrid-Smart, Fleet-Managed",
        "body": "We're [Sanchit](https://www.linkedin.com/in/sanchitmonga22/) and [Shubham](https://www.linkedin.com/in/shubham-malhotra-fg890a23a/), co-founders of [RunAnywhere](https://runanywhere.ai/) (W26).\n\n**TL;DR:** Run Multi-modal AI fully on-device with one SDK and manage model rollouts + policies from a control plane.\n\nWe are already live and open source with [**\\~10.1k stars on GitHub**](https://github.com/RunanywhereAI/runanywhere-sdks).\n\n<https://youtu.be/N3x2bs4ri68>\n\n![uploaded image](/media/?type=post&id=97041&key=user_uploads/725397/86d47939-7caf-4e0f-8575-045ca2fd22bc)\n\n### The Problem\n\nEdge AI is inevitable — users want instant responses, full privacy (health, finance, personal data), and AI that actually works on planes, subways, or spotty rural connections.\n\nBut shipping it today is brutal:\n\n* Every device (iPhone 14 vs Android flagship vs low-end) has wildly different memory, thermal limits, and accelerators.\n* Teams waste quarters rebuilding model download/resume/unzip/versioning, lifecycle (load/unload without crashing), multi-engine wrappers (llama.cpp, ONNX, etc.), and cross-platform bindings\n* No real observability — you're blind to fallback rates, per-device perf, crashes tied to model version\n\n**Result:** most teams either give up on local AI or ship a brittle, hacked-together experience.\n\n### The Solution: Complete AI Infrastructure\n\nRunAnywhere isn't just a wrapper around a model. It is a full-stack infrastructure layer for on-device intelligence.\n\n**1. The \"Boring\" Stuff is Built-in** We provide a unified API that handles model delivery (downloading with resume support), extraction, and storage management. You don't need to build a file server client inside your app.\n\n**2. Multi-Engine & Cross-Platform** We abstract away the inference backend. Whether it's llama.cpp or ONNX etc, you use one standard SDK.\n\n* iOS (Swift)\n* Android (Kotlin)\n* React Native\n* Flutter\n\n**3. Hybrid Routing (The Control Plane)** We believe the future isn't \"Local Only\"—it's **Hybrid**. RunAnywhere allows you to define policies: try to run the request locally for zero latency/privacy; if the device is too hot, too old, or the confidence is low, automatically route the request to the cloud.\n\n![Voice AI Pipeline Demo](/media/?type=post&id=97041&key=user_uploads/725397/dfe1b180-e5d8-4c59-a4e8-2109d9f903f2)\n\n### Quick Links\n\n* **OSS SDKs:** [github.com/RunanywhereAI/runanywhere-sdks](https://github.com/RunanywhereAI/runanywhere-sdks) (star if it vibes!)\n* **Full Docs:** [docs.runanywhere.ai](https://docs.runanywhere.ai)\n* **Website:** [runanywhere.ai](https://runanywhere.ai)\n\n**Try our demo apps:**\n\n* [Android](https://play.google.com/store/apps/details?id=com.runanywhere.runanywhereai)\n* [iOS](https://apps.apple.com/us/app/runanywhere/id6756506307)\n\n### Our Ask\n\nWe're in full execution mode post-launch and hunting design partners + early feedback:\n\n* Building voice AI, offline agents, privacy-sensitive features (health/enterprise/consumer), or hybrid chat in your mobile/edge app?\n* Want to eliminate cloud inference costs for repetitive queries while keeping complex ones fast?\n* Have a fleet where OTA model updates + observability would save you engineering months?\n\n**Get in touch:**\n\n* Drop us a line: [san@runanywhere.ai](mailto:sanchit@runanywhere.ai)\n* Book a quick call: [calendly.com/sanchitmonga22](https://calendly.com/sanchitmonga22)\n* Or just tell us what sucks about your current on-device AI stack — honest war stories help us prioritize.\n\nExcited to hear what you're building and how we can make on-device AI actually shippable at scale.",
        "url": "https://www.ycombinator.com/launches/PFB-runanywhere-the-default-way-to-run-on-device-ai-at-scale",
        "votes": 25,
        "created_at": "2026-01-22T01:27:45.855Z"
      }
    ]
  },
  {
    "id": 31089,
    "name": "Lance",
    "slug": "lance",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/500f8974cf64740c19c12e8fa5b25e0284652488.png",
    "website": "https://www.lance.live",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Autonomous AI agents that answer calls, close sales, and run operations, so your team can focus on guests. Trusted by some of the top hotel groups in the US, supporting 50+ hotels across brands like Marriott, Hilton, and Hyatt\r\n\r\nBuilt on advanced Computer Use Agent technology, Lance agents can navigate your existing hotel software, make real-time decisions, and handle complex multi-step tasks.",
    "one_liner": "AI Agents That Run Hotel Operations.",
    "team_size": 10,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1768895498,
    "tags": [],
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2026",
    "status": "Active",
    "industries": [
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    "regions": [
      "United States of America",
      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/lance",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/lance.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/trylance/",
    "x_url": "https://x.com/TryLance",
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    "app_video_url": null,
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    "primary_partner": {
      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
    },
    "founders": [
      {
        "user_id": 3149989,
        "full_name": "Caleb Chan",
        "title": "Founder/CEO",
        "founder_bio": "CEO of Lance. Former Head of Product and Founding Engineer at Silicon Valley Commerce (9‑figure exit). Previously product roles at Google and Salesforce, building industry-leading voice and AI agent technology.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/caleb-chan-327b14239/",
        "x_url": "https://x.com/calebychan",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b61487074e22d4fca84b70c446b633f36d32bcc8.jpg"
      },
      {
        "user_id": 2964770,
        "full_name": "Gavin Brennen",
        "title": "Founder",
        "founder_bio": "COO of Lance. Previous work on AI agents at Domo, with earlier Product & customer facing roles at SmartSuite (Series A) and Zeus.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/gavinbrennen/",
        "x_url": "https://x.com/GavinBrennen",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/26d28208520f1107b163cf469f8d1ab9663c7160.jpg"
      },
      {
        "user_id": 2596932,
        "full_name": "Gatik Trivedi",
        "title": "Founder/CTO",
        "founder_bio": "CTO of Lance. Previously founded and exited MedTec Innovate, worked on speech and language research at Stanford, and studied EECS + Business in Berkeley M.E.T. Built agent infrastructure at GI Partners and LLM eval metrics at Knowtex (YC S22).",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/gatik-trivedi",
        "x_url": "https://x.com/GatikTriv",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7e420be475ef903e3ef40a825e004a1a563d67bc.jpg"
      }
    ],
    "jobs": [
      {
        "id": 92562,
        "title": "Member of Technical Staff",
        "url": "https://www.ycombinator.com/companies/lance/jobs/OCpozpZ-member-of-technical-staff",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$160K - $260K",
        "equity_range": "0.30% - 0.70%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 94302,
        "title": "Product Engineer",
        "url": "https://www.ycombinator.com/companies/lance/jobs/pSYc4XT-product-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Product",
        "role_type": null,
        "salary_range": "$150K - $250K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 94304,
        "title": "Product Marketing Manager",
        "url": "https://www.ycombinator.com/companies/lance/jobs/h3ggiJK-product-marketing-manager",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Product",
        "role_type": null,
        "salary_range": "$140K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 97595,
        "title": "Software Engineering Intern",
        "url": "https://www.ycombinator.com/companies/lance/jobs/NKlvGdF-software-engineering-intern",
        "location": "San Francisco, CA, US",
        "type": "Internship",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$6K - $8K / monthly",
        "equity_range": "",
        "experience": null,
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 103096,
        "title": "GTM & Content Marketing Intern",
        "url": "https://www.ycombinator.com/companies/lance/jobs/R2XRSzI-gtm-content-marketing-intern",
        "location": "San Francisco, CA, US",
        "type": "Internship",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$5K - $8K / monthly",
        "equity_range": "",
        "experience": null,
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 117395,
        "title": "Deployment Specialist (Contract)",
        "url": "https://www.ycombinator.com/companies/lance/jobs/OBbE4y9-deployment-specialist-contract",
        "location": "San Francisco, CA, US",
        "type": "Contract",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$7.2K / monthly",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 97533,
        "title": "Lance - Your Hotel's Best Employees",
        "tagline": "guests got places to be",
        "body": "### **TL;DR**\n\n\\*\\*Lance builds autonomous AI agents that answer calls, close sales, and run operations.\\*\\*\\\nWe’re working with some of the leading hotel groups in the US operating across major hotel brands.\n\n## <https://youtu.be/4lfd34piGiE>\n\n### **The Problem**\n\nHotels still run on phone calls for everything.\n\nGuests call for towels, late checkout, maintenance, parking, and directions. Each call kicks off a manual workflow: someone answers, gathers details, routes the task, tracks it down, and follows up.\n\nThat model breaks when teams are lean. With **65% of hotels reporting staffing shortages**, simple requests require too many people and too many handoffs.\n\nThe result is constant interruptions, slow fulfillment, missed revenue, and burned-out staff. During busy periods or after hours, hotels miss **up to 40% of incoming calls**, not because demand is too high, but because the operation doesn’t scale.\n\n## **Our Solution**\n\n**Receptionist AI Agent:** (Call, SMS, Email, Hotel Messaging Platforms) answers guests 24/7 and completes requests end-to-end\n\n* answers questions instantly and handles service requests\n* gathers the right details, routes work to the right team, escalates when needed\n* supports multiple languages so every guest gets help fast\n* takes action through **vision based computer-use agents** when workflows require navigating through older systems like on-prem PMS or CRS\n\n**Sales AI Agent:** (Call, SMS, Email) turns every inbound inquiry into a qualified revenue opportunity, so your sales team only talks to guests who are ready to book.\n\n* responds to inbound sales inquiries and RFPs automatically\n* qualifies leads and gathers booking or event details\n* follows up instantly so hotels never lose deals to slow response\n* drafts pricing, availability, and sales responses using hotel data\n* unibox keeps a full record across email and messaging\n\n**Lance Pad:** a tablet-first operations hub where service teams coordinate work and stay connected in real time across the property.\n\n* replaces walkie talkies with real-time team communication across the property\n* track open guest requests and service tasks live in one shared system\n* manage escalations and see resolution outcomes instantly\n* stays synced with Lance from request → action → completion\n\n## **Our Ask**\n\nIf you answer “yes” to any of these, we’d love your help:\n\n* Do you know any **hotel owners / operators** whose teams are stretched thin and juggling multiple systems for basic guest requests?\n* Do you know any **management groups (multi-property)** that want more consistent guest ops?\n\nReach us at [**founders@lance.live**](mailto:founders@lance.live) or schedule a demo today at[ ](http://atlance.live)[**lance.live**](http://lance.live)\n\n![uploaded image](/media/?type=post&id=97533&key=user_uploads/3149989/d1260b85-dc13-4e25-bcc1-dc54d7623fdd)\n\n",
        "url": "https://www.ycombinator.com/launches/PN7-lance-your-hotel-s-best-employees",
        "votes": 40,
        "created_at": "2026-02-05T18:03:20.011Z"
      }
    ]
  },
  {
    "id": 31090,
    "name": "Docura Health",
    "slug": "docura-health",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fcf719c51dea2161bc0d4cdea73a80b7a6c917f9.png",
    "website": "https://docurahealth.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Docura Health reduces settlement time in workers’ compensation cases by automating medical record review, chronologies, and report drafting with AI. We transform thousands of pages of records into structured, compliant summaries, helping evaluators, claim adjusters, insurers, and legal teams resolve cases faster.",
    "one_liner": "AI-Native Med-Legal Firm",
    "team_size": 3,
    "industry": "Healthcare",
    "subindustry": "Healthcare",
    "launched_at": 1771815794,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2026",
    "status": "Active",
    "industries": [
      "Healthcare"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/docura-health",
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    "year_founded": 2026,
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        "id": 98093,
        "title": "Docura Health - AI-Native Med-Legal Firm to automate tedious workers’ comp workflows for doctors",
        "tagline": "Turn thousands of pages of medical records into draft-ready reports in minutes.",
        "body": "**Problem:**\n\nWhen a worker gets injured on the job, they see their primary doctor for treatment. The doctor treats them through a series of appointments until they reach maximum medical improvement - the point where no more treatment will improve their condition.\n\nIf the insurance company denies the claim, that's when the bottleneck kicks in. Both sides get attorneys, and they send all the medical records to a Qualified Medical Evaluator (QME) for an independent assessment.\n\nThe QME has to manually review these records. Some cases have thousands of pages, while others have tens of thousands. Even straightforward cases take 6-8 hours. Complex cases can take multiple days.\n\nThere are also agencies that take 40% of the revenue per case to do some of this administrative work for them.\n\nEither way, doctors are missing out. They're either losing significant revenue to agencies, or they're spending so much time on paperwork that they can't handle more cases.\n\n**Solution:**\n\nDocura Health automates the entire workflow:\n\nUpload medical record PDFs and case documents → we generate fully compliant record reviews and reports in 30 minutes\n\nAutomate patient history collection calls that admin staff normally handle before evaluations\n\nDoctors handle significantly more cases while keeping far more revenue per case.\n\n\\*\\*Demo Video:\\*\\*\\\n<https://youtu.be/y2CU0QIXSS4>\n\n**Progress:**\n\nWe’re live with multiple healthcare practices and med-legal expert groups. Providers working with us have doubled their case volume from the last month and some even process over 50k pages per month.\n\n**Ask From YC:**\n\n* If anyone knows any qualified medical evaluators or independent medical evaluators that are orthopedic surgeons, pain medicine doctors, or internal medicine doctors, would appreciate warm intros.\n* If anyone knows any med-legal expert groups or lawyers on both the defense and the applicant side, would also appreciate intros.",
        "url": "https://www.ycombinator.com/launches/PW9-docura-health-ai-native-med-legal-firm-to-automate-tedious-workers-comp-workflows-for-doctors",
        "votes": 5,
        "created_at": "2026-02-23T20:05:25.851Z"
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    "all_locations": "San Francisco, CA, USA; Remote",
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    "one_liner": "Real-world human movement data for humanoid robots",
    "team_size": 3,
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    "subindustry": "Industrials -> Manufacturing and Robotics",
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      "Fully Remote"
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    "country": "US",
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        "full_name": "Lyem Ningthou",
        "title": "Founder",
        "founder_bio": "Defense tech robotics researcher → building the data layer for humanoid robotics",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/lyem-ningthou-5a09a4239",
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        "title": "Data Collection Specialist",
        "url": "https://www.ycombinator.com/companies/asimov/jobs/u0cjTqP-data-collection-specialist",
        "location": "Remote",
        "type": "Contract",
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        "role_type": null,
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        "url": "https://www.ycombinator.com/companies/asimov/jobs/opG4UcT-strategic-operations-intern",
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        "title": "Asimov 🤖: On demand human intelligence for robots",
        "tagline": "We help robotics companies collect human-in-the-home and human-at-work data at scale through a global network of contributors.",
        "body": "Hi YC! 👋\n\nWe're Anshul and Lyem, co-founders of Asimov. We're building the data infrastructure to enable the GPT-3 moment for humanoid robots.\n\n**TL;DR**\n\nLanguage models trained on trillions of words. Image models trained on billions of photos. Robots are starting from scratch. The bottleneck is diverse, real-world human movement data. We're building the infrastructure to collect and own it at scale.\n\n**🎥 Launch Video**\n\n<https://youtu.be/p5Dh80QW3mc>\n\n**🚨 The Problem**\n\nHumanoid robots need to learn from human movement in diverse environments, but the data to teach them doesn't exist at scale. Existing datasets are narrow, captured largely in controlled factory settings, repeating the same tasks in the same environments. What's missing is diversity: thousands of different people, in thousands of different spaces, doing the full range of things humans actually do.\n\nThe market for robotics training data will dwarf what was spent on language model data, and right now nobody owns the supply chain.\n\n**🚀 Our Solution**\n\nAsimov empowers individuals worldwide to earn a living by recording what they already do: cooking, cleaning, working, living. That means data from thousands of different people, homes, and workplaces: the task and environment diversity that factory-only datasets simply can't replicate.\n\nWe've built the full stack to make it happen: proprietary hardware, annotation tooling, and a vertically integrated pipeline that makes our data higher quality and cheaper to produce than anything on the market. The largest robotics labs in the world are already our customers.\n\n**👨‍💻 The Team**\n\nAnshul brings deep data infrastructure expertise from Scale AI and Lyem built data pipelines for the United States Air Force. We’ve been building together since we were roommates in college, and previously co-founded a startup they grew to six figures in revenue.\n\n**🙏 Our Ask**\n\n1\\. **If you're a robotics company looking for data**, we'd love to talk. We're already supplying the largest players in the space and can deliver at scale starting today. Reach out at [founders@tryasimov.ai](mailto:founders@tryasimov.ai).\n\n2\\. **If you own a restaurant, warehouse, or any business**, anywhere in the world, and are interested in partnering, let us know. Many of our partners are able to entirely cover their workers' salaries by having them wear our collection kits while they work. Reach out at [founders@tryasimov.ai](mailto:founders@tryasimov.ai).\n\n3\\. **No matter where you live**, you can turn your daily routine into a living. Sign up at [tryasimov.ai](http://tryasimov.ai).",
        "url": "https://www.ycombinator.com/launches/PeH-asimov-on-demand-human-intelligence-for-robots",
        "votes": 11,
        "created_at": "2026-03-09T19:38:04.886Z"
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        "full_name": "Neil Bhammar",
        "title": "Founder/CEO",
        "founder_bio": "Making it really easy to deploy and scale best-in-class video experiences. \n\nI previously built a transportation technology company from 0 through our Series B.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/neilbhammar/",
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        "full_name": "Michael Seleman",
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        "founder_bio": "Making enterprise short-form video systems simple. Prev. Spent 6 years building infrastructure that powers YouTube Shorts.",
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        "title": "Full-Stack Engineer",
        "url": "https://www.ycombinator.com/companies/shortkit/jobs/FdAm5KK-full-stack-engineer",
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        "role": "Engineering",
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        "experience": "1+ years",
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        "id": 98172,
        "title": "ShortKit – The SDK for Short Form Video Feeds",
        "tagline": "We help every app roll their own TikTok-quality video feed.",
        "body": "**tl;dr** ShortKit lets consumer teams and publishers ship best-in-class vertical video feeds _(playback, infra, monetization, rec systems, content networks, and more)_ without needing their own video eng orgs. [Michael Seleman](https://linkedin.com/in/michael-seleman-541509122) spent years at YouTube building the infrastructure behind Shorts. Now, we're packaging that for everyone else.\n\n**Short-form video is eating the world**\n\nVertical video is the most retentive format on the internet (with the highest ad spend), but it's captive on the three major platforms. The best publishers and consumer companies want to participate (see [Glassdoor](https://techcrunch.com/2024/10/09/glassdoor-takes-a-leaf-out-of-linkedins-book-launches-short-videos-polls-and-images/), [DoorDash](https://techcrunch.com/2025/09/30/doordash-rolls-out-creator-program-for-short-form-videos-adds-new-app-features-and-dine-in-rewards/), and [CNN](https://www.theverge.com/news/816638/cnn-app-shorts-feed-videos-launch)’s recent feed launches). Companies are desperate to own first-party data, engage their users more deeply, and drive ad revenue within their own experiences.\n\n**But it's still really hard at scale**\n\nTeams today either spend millions to ship quality short-form feeds, roll out poor-quality ones that fail to retain, or don't ship them at all because they don't know where to start. It's a massive missed opportunity for consumer companies, and an existential one for companies built on attention, like news-media.\n\n**So we're making it really easy**\n\nShortKit is a drop-in short-form video system. Product teams get:\n\n* **Managed SDKs** that deliver best-in-class short-form feeds. We've obsessed over the mechanics that make these competitive with the major platforms - ML driven buffer management, feed aware player mechanics, buttery-smooth tactiles, and much more.\n* **Video infrastructure** they never have to think about. Powering global video distribution that always works, optimized specifically for short-form content.\n* **Monetization** like native ads & first party data collection.\n* **Rec systems** with baseline configurations and ML-driven feed ranking algos.\n* **Admin tools** and APIs to manage feeds, integrate your CMS/database, and view analytics.\n\n**Our ask:**\n\nIf you know product or growth leaders at:\n\n* Media companies - NYT, ESPN, TMZ, Condé Nast, etc.\n* Consumer companies - TripAdvisor, Ticketmaster, Zillow, Yelp, etc.\n\nWe'd love to talk to them. You can reach out at [neil@shortkit.dev](mailto:neil@shortkit.dev) or book time with us at [shortkit.dev](http://shortkit.dev).\n\n<https://youtu.be/_W2qBGRnBaM>",
        "url": "https://www.ycombinator.com/launches/PXQ-shortkit-the-sdk-for-short-form-video-feeds",
        "votes": 20,
        "created_at": "2026-02-26T08:03:51.086Z"
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    "long_description": "10x Science develops frontier AI models with deep memory to redefine how scientists understand and engineer biology across the life sciences, starting with drug development.\r\n\r\nAI-powered drug discovery is flooding the pipeline with new candidates faster than ever. But before any of them can advance to the clinic, scientists must deeply characterize the protein therapeutic to understand whether it will work. Today, that process takes months of manual, error-prone analysis that cannot keep pace with discovery. Our AI-native platform automates it, giving drug developers the confidence to advance the right candidates and stop the wrong ones early.\r\n\r\nWe have strong commercial traction with enterprise pharma customers. Our founding team built the field of next-generation protein characterization out of Carolyn Bertozzi's Nobel laureate lab at Stanford. Collectively, we have 18+ years of collective domain expertise, 47+ scientific publications, and a 2x YC Founder. We move at the highest velocity and are positioned to lead the next generation of modern AI development in the life sciences. ",
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    "team_size": 5,
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      "name": "Jon Xu",
      "url": "https://www.ycombinator.com/people/jon-xu"
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        "full_name": "David Roberts",
        "title": "Founder/CEO",
        "founder_bio": "Chemistry postdoc and Damon Runyon Cancer Research Fellow in Prof. Carolyn Bertozzi's lab (2022 Nobel Prize in Chemistry) at Stanford University. Next-generation scientific leader in chemical biology and glycobiology with 1600+ citations & h-index 23. Received my B.S. double major in chemistry & mathematics at UC San Diego (2016) and Ph.D. in materials chemistry & analytical chemistry at the University of Wisconsin-Madison (2023). ",
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        "linkedin_url": "https://www.linkedin.com/in/davidstephenroberts/",
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        "full_name": "Andrew Reiter",
        "title": "Founder/COO",
        "founder_bio": "Previously received my B.S. in Biology from UNC-Chapel Hill. I then joined Dr. Steven Carr’s Proteomics Platform Lab at the Broad Institute of MIT and Harvard, where I developed new methods in mass spectrometry. I later became a Ph.D. student and NSF-GRFP fellow in the Department of Biology at Stanford University, where I was co-advised by Dr. Carolyn Bertozzi (2022 Nobel Laureate in Chemistry) and Dr. Or Gozani.",
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        "full_name": "Vishnu Tejus",
        "title": "Founder/CTO",
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        "title": "Founding Engineer",
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        "location": "San Francisco, CA, US / Menlo Park, CA, US",
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      {
        "title": "AI is spitting out more potential drugs than ever. This startup wants to figure out which ones matter. | TechCrunch",
        "url": "https://techcrunch.com/2026/04/22/ai-is-spitting-out-more-potential-drugs-than-ever-this-start-up-wants-to-figure-out-which-ones-matter/",
        "date": "Apr 22, 2026"
      }
    ],
    "launches": [
      {
        "id": 97760,
        "title": "10x Science: Unlocking the future of drug development 🔑🧬",
        "tagline": "The AI-native platform for next-generation protein characterization",
        "body": "Hi Everyone 👋:\n\nWe're [**David**](http://www.linkedin.com/in/davidstephenroberts), [**Andrew**](https://www.linkedin.com/in/andrew-hawthorn-reiter/), and [**Vishnu**](https://www.linkedin.com/in/vishnutejus/), co-founders of [**10x Science**](https://10xscience.com/). We’re a team of researchers from Stanford on a mission to make drug development 10x faster.\n\n**TL;DR:** We are building _the_ AI-native solution to unlock fast, accurate, and scalable therapeutics characterization to accelerate drug development.\n\n[10x Science Launch Video](https://www.youtube.com/watch?v=WaQSdNSc1KM)\n\n❌ **The** **Problem**\n\nProtein-based drugs now make up a majority of new therapies and advances in AI are flooding the drug discovery pipeline with more candidates than ever. But **the bottleneck isn't candidate design, it’s candidate characterization to identify the best drug for clinical trials**. \n\nEvery antibody, every cell therapy, every engineered protein requires characterization at a level of molecular detail that existing tools simply weren't designed to handle. Today, that process is: \n\n* **Slow**: Weeks to months per candidate spent on time-consuming data analysis and report generation that limit how fast new therapies can reach patients \n* **Expensive**: On average, it costs $1M+ for each day of delay in a clinical trial. Every day a biologic is delayed from entering the market is a missed opportunity to generate revenue and to save lives\n* **Not scalable**: Labs are throwing thousands of therapeutics through the discovery pipeline, but processing the data requires individuals to perform expert analysis leading to reproducibility challenges and a specialized, manual bottleneck\n\nThe result: candidates pile up, timelines slip, and the promise of AI-powered discovery gets stuck. \n\n💡**Our Solution**\n\n**10x Science** is the unlock **🔑**\n\nWhat if you could go from raw data to output-ready characterization reports in minutes? That’s what we’re building: **AI-native infrastructure for protein characterization**:\n\n* **Reduce analysis time from weeks to minutes**: our platform automates the data crunching that currently bottlenecks development → yielding $150,000+ time savings per team / month\n* **Get reproducible, enterprise-ready results** without requiring extensive expertise and slow manual curation. This frees scientists to focus on the important stuff: discovery, not number crunching\n* **Scale your pipeline**: process more candidates exponentially without linearly scaling your team\n\nNow, therapeutics development can keep pace with AI-powered drug discovery.\n\n![uploaded image](/media/?type=post&id=97760&key=user_uploads/3203252/9b62279d-80f7-4f58-a80c-86665a72b6d7)\n\n**📜 Backstory**\n\nWe've lived this problem.\n\nAs Stanford researchers building frontier tools at the intersection of chemistry, biology, and machine learning, we constantly hit the protein characterization throughput wall. We and every other scientist we’ve spoken with all feel the same pain: protein characterization is slow, manual, and just hard to do at scale. Today’s scientists are drowning in data. A single sample can generate gigabytes of data, yet extracting insights from it is painstakingly slow without the right tools.\n\nIf we don’t modernize protein analysis, then drug development grinds to a halt. **This is why we started 10x Science**.\n\n🔬 **Our Team**\n\nWe are the only team in the world with deep expertise in proteomics, mass spectrometry, chemical biology, and artificial intelligence to tackle this problem. We’re researchers from Stanford with 18+ years of hands-on experience characterizing biologics and building new technologies and methodologies at the cutting edge. \n\n![uploaded image](/media/?type=post&id=97760&key=user_uploads/3203252/a384189a-2f27-4969-8d8f-156305c9ce8d)\n\nDavid (CEO, middle): Damon Runyon Cancer Research Foundation Fellow; Stanford Postdoc from Carolyn Bertozzi’s Lab (2022 Nobel Prize in Chemistry); early career leader in field of mass spectrometry-based proteomics with 37+ peer-reviewed publications\n\nAndrew (COO, right): Trained in Steven Carr’s Proteomics Platform Lab at the Broad Institute of MIT and Harvard, where he developed new methods in mass spectrometry. Later became a Ph.D. student and NSF-GRFP fellow at Stanford University, where he was co-advised by Dr. Carolyn Bertozzi and Dr. Or Gozani.\n\nVishnu (CTO, left): 2x YC founder. Built AI for go-to-market teams as the 2nd hire and founding engineer at Nooks. Forward deployed himself in research labs at the University of Washington, UCSF, and Stanford, where he was mentored by world-renowned scientists in analytical chemistry and cancer research. In &lt; 1 year, he published 2 papers and won 4 national awards. \n\n**We are uniquely positioned** with the technical expertise and insights required to solve this major challenge.\n\n 🌐 **The Big Picture**\n\nWe are automating the whole data analysis pipeline to enable scientists to focus on discovery: this is the \"why\" rather than the \"how\" of data processing. Every major therapeutic breakthrough of the last decade has depended on understanding proteins at the molecular level. And yet, the tools we use to analyze them haven't fundamentally changed in over twenty years. 10x Science is taking a totally new approach to usher in an AI-forward paradigm in protein characterization and drug development. \n\n 🙏 **Our Ask**\n\nWe're onboarding customers. If you answer \"yes\" to any of these, we'd love to chat:\n\n**Know a pharma/biotech team** working on biologics characterization?\n\n**Know an academic lab or core facility** doing protein analysis?\n\n**Know a contract research organization (CRO)** looking to scale analytical capabilities?\n\n**Resonate with our mission?** → Share this post!\n\n —_David_, _Andrew_, _Vishnu_ ([**10x Science**](https://10xscience.com/))\n\n![uploaded image](/media/?type=post&id=97760&key=user_uploads/3203252/4a578736-2de7-43de-b605-0152e507bf2b)\n\n",
        "url": "https://www.ycombinator.com/launches/PQm-10x-science-unlocking-the-future-of-drug-development",
        "votes": 19,
        "created_at": "2026-02-12T17:47:40.380Z"
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    "id": 31113,
    "name": "CellType",
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    "website": "https://www.celltype.com",
    "all_locations": "New York City, NY, USA",
    "long_description": "CellType is building an agentic drug company. AI agents that run the full drug discovery pipeline on top of biological foundation models that simulate human biology. Our core technology, developed with Google DeepMind, has already discovered and validated a new cancer treatment signal. We’re working with Top 10 pharma.",
    "one_liner": "The agentic drug company. We simulate human biology.",
    "team_size": 5,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Drug Discovery and Delivery",
    "launched_at": 1771295425,
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      "Drug Discovery and Delivery"
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    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/celltype",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/celltype.json",
    "year_founded": 2025,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/celltype/",
    "x_url": "https://x.com/celltypeinc",
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    "primary_partner": {
      "name": "Ankit Gupta",
      "url": "https://www.ycombinator.com/people/ankit-gupta"
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    "founders": [
      {
        "user_id": 2244977,
        "full_name": "David van Dijk",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder & CEO of CellType (W26). Yale Professor, 11,000+ citations. Built biological foundation models with Google. Building the agentic drug company.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/david-van-dijk-b440286/",
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    "jobs": [
      {
        "id": 108489,
        "title": "Founding Research Scientist, Biological Foundation Models",
        "url": "https://www.ycombinator.com/companies/celltype/jobs/ynLk0Xr-founding-research-scientist-biological-foundation-models",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$150K - $250K",
        "equity_range": "0.50% - 2.00%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": [
          "Python",
          "Torch/PyTorch",
          "Machine Learning",
          "Deep Learning",
          "Computer Vision",
          "Bioinformatics",
          "Genomics",
          "Transformers",
          "Multimodal AI"
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      }
    ],
    "news": [
      {
        "title": "Sundar Pichai announces Google's AI milestone in cancer cure",
        "url": "https://etedge-insights.com/technology/artificial-intelligence/sundar-pichai-announces-google-deepmind-yale-breakthrough-in-cancer-therapy-using-ai/",
        "date": "Oct 16, 2025"
      },
      {
        "title": "Google CEO Sundar Pichai Says C2S-Scale 27B Foundation Model Generated 'Novel Hypothesis About Cancer Cellular Behavior'",
        "url": "https://www.etvbharat.com/en/technology/sundar-pichai-enn25101506952",
        "date": "Oct 15, 2025"
      },
      {
        "title": "Google’s Gemma AI model helps discover new potential cancer therapy pathway",
        "url": "https://blog.google/technology/ai/google-gemma-ai-cancer-therapy-discovery/",
        "date": "Oct 15, 2025"
      },
      {
        "title": "Google’s AI Cracks a New Cancer Code",
        "url": "https://www.yahoo.com/news/articles/google-ai-cracks-cancer-code-203652400.html?guccounter=1",
        "date": "Oct 14, 2025"
      }
    ],
    "launches": [
      {
        "id": 97885,
        "title": "CellType: The Agentic Drug Company",
        "tagline": "What takes big pharma years, we aim to do in weeks.",
        "body": "We're David and Ivan — we built this technology at Yale and are now turning it into a company.\n\nAI is fundamentally changing how software gets built. Drug discovery is next.\n\n# TL;DR\n\nWe're building an agentic drug company: **foundation models that learn human biology + AI agents that run the full discovery pipeline**. Instead of mice and cell lines, we simulate what will happen in patients — before you run the trial.\n\n![uploaded image](/media/?type=post&id=97885&key=user_uploads/1493577/d81c7718-831b-4ed3-8b76-c1f050d31193)\n\nOur core technology, Cell2Sentence ([ICML 2024 paper](https://proceedings.mlr.press/v235/levine24a.html) · [C2S-Scale paper](https://www.biorxiv.org/content/10.1101/2025.04.14.648850v4)), was [featured by Google](https://blog.google/technology/ai/google-gemma-ai-cancer-therapy-discovery/) and shared by **Google CEO Sundar Pichai** (7M+ views). It teaches LLMs to understand cellular biology, and we've already used it to **discover and validate a new cancer treatment signal**.\n\n![uploaded image](/media/?type=post&id=97885&key=user_uploads/1493577/0b848ed1-640a-4601-bd61-54ab7d22f4f1)\n\n# The Problem\n\n90% of drugs fail in clinical trials. Most of that failure traces back to one thing: our preclinical models don't match humans. Mice and cell lines don't represent what actually happens in patients, so teams spend years and billions optimizing against the wrong reality.\n\nAnd the process itself is broken: massive teams, manual workflows, siloed data, and painfully slow iteration. A typical drug takes 10+ years and $2B+ to develop. Most fail anyway.\n\n[https://www.youtube.com/watch?v=MBlSLzVBnH8](https://img.youtube.com/vi/MBlSLzVBnH8/0.jpg\\)%5C%5D\\(https://www.youtube.com/watch?v=MBlSLzVBnH8\\))\n\n# Our Approach: AI Agents + A Virtual Human\n\nWe're building a new type of drug company from scratch around AI.\n\n**The vision: AI agents do the work, humans steer the science.** Today, drug R&D means hundreds of scientists manually digging through literature, analyzing data, generating hypotheses, designing experiments, and coordinating with contract labs. We're replacing that with autonomous agents that execute end-to-end.\n\n**The technology:** we taught LLMs to understand biology. Our core insight is that biology has structure, like language — gene expression profiles are sentences, cellular states encode meaning, drug responses are transformations. We built Cell2Sentence to convert single-cell biology into a form that foundation models can learn from. Unlike protein-centric approaches (AlphaFold, Boltz, ESM), we model the whole biological system — cells, tissues, microenvironments, and drug-cell interactions. **Proteins are parts; we model the machine.**\n\n**The product:** a virtual human — a computational model of human biology you can test drugs on before touching a real patient. At every stage of development, you can ask \"what will happen in humans?\" and get an answer grounded in real human data, not proxies. Target discovery, toxicity prediction, translational prediction, patient stratification, virtual trials.\n\nOur work is published at ICML 2024.\n\n# Validation: We Discovered a New Cancer Treatment Signal\n\nWe didn't just build a model, we used it to find something real.\n\nWe screened 4,000+ drugs and predicted a novel hit: a drug that could help turn \"cold\" tumors \"hot\" (more visible to the immune system) — something that wasn't previously known. We then validated it in the lab — both in cell lines and in intact human tumor microenvironments that mirror what happens in patients. **The prediction held up.**\n\nThis is the kind of result that takes traditional R&D teams years.\n\n# Traction\n\nWe're **already working with Top 10 pharma** — and every deal has been **100% inbound**. They saw the work and reached out to us.\n\n# Our Team\n\nWe're two founders with deep expertise in biology + AI who invented the underlying technology together at Yale.\n\n**David van Dijk, PhD:** Yale Professor, 11,000+ citations, published in Cell, Nature, ICML, and NeurIPS, turned down Google to build CellType.\\\n**Ivan Vrkic:** co-built the core tech at Yale (published at ICML), built software to control CERN's Large Hadron Collider, and led large-scale foundation model training at a biotech company.\n\n# Our Ask\n\nIf you're a pharma or biotech team that wants to de-risk discovery and development — especially around translational and clinical prediction — we'd love to talk. We're also looking for data partners and exceptional bio and ML builders who want to help build an agentic drug company from scratch.\n\n[david@celltype.com](mailto:david@celltype.com)",
        "url": "https://www.ycombinator.com/launches/PSn-celltype-the-agentic-drug-company",
        "votes": 25,
        "created_at": "2026-02-17T13:24:49.230Z"
      }
    ]
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    "id": 31114,
    "name": "Piris Labs",
    "slug": "pirislabs",
    "former_names": [
      "Piris Inc.",
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    ],
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    "website": "https://pirislabs.io/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Up to 80% of the most advance AI compute chips sits idle because of slow networking. Piris Labs builds photonic based networking solutions to enable fast, scalable, and low cost AI workload execution infrastructure.",
    "one_liner": "The Networking Layer of AI",
    "team_size": 8,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1770857008,
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      "Infrastructure",
      "AI"
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      "America / Canada"
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    "url": "https://www.ycombinator.com/companies/pirislabs",
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    "year_founded": 2025,
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    "linkedin_url": "https://www.linkedin.com/company/110912035",
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    "cb_url": "https://www.crunchbase.com/organization/piris-labs",
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    "primary_partner": {
      "name": "Ankit Gupta",
      "url": "https://www.ycombinator.com/people/ankit-gupta"
    },
    "founders": [
      {
        "user_id": 2792621,
        "full_name": "Ali Khalatpour",
        "title": "Founder/CEO",
        "founder_bio": "Founder (YC W26), reimagining AI compute architectures | PhD EE (MIT → NASA → Stanford)",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/alikhalatpour",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/42b5a5f623f8120937aa26e3d674989a58a1f3f4.jpg"
      },
      {
        "user_id": 3157622,
        "full_name": "Keyvan Moghadam",
        "title": "Founder/President",
        "founder_bio": "I am an AI technologist with a decade of experience scaling AI/ML products. At Meta and X, I specialized in leading tiger teams to launch high-stakes 0-to-1 initiatives.\n\nNow, I am the Co-Founder of Piris Labs. We are building high-speed photonic interconnects to solve the energy and latency constraints for AI data inference. My current focus is to iterate on our inference service and onboard customers into our platform.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/keyvanrm/",
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    "jobs": [
      {
        "id": 93808,
        "title": "Founding Engineer -- AI Inference Stack ",
        "url": "https://www.ycombinator.com/companies/pirislabs/jobs/r6mskwZ-founding-engineer-ai-inference-stack",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$100K - $200K",
        "equity_range": "0.10% - 1.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
          "Rust",
          "TCP/IP",
          "Design systems",
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    ],
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    "launches": [
      {
        "id": 104954,
        "title": "Piris Labs: We Set the Fastest Reported GLM-5.2 Inference Speed",
        "tagline": "Fast, scalable AI workload execution infrastructure.",
        "body": "Piris Labs  just achieved the fastest reported inference speed for the new GLM-5.2, outperforming pioneers and veterans in the space.\n\nWe finished the YC batch just a few months ago and believed it was important to maintain that same pace of execution while keeping our technical bar high. So yes, the YC advice is right: keep building.\n\nA lean, highly passionate team with strong execution and the right long-term vision can accomplish in a short period of time what often takes much larger organizations with billions in funding and hundreds of people years to achieve.\n\nWe're well on track to build fast, scalable, and low-cost AI workload execution infrastructure with a deep focus on the data movement layer, where many of the biggest bottlenecks in performance and unit economics exist.\n\nRead the full details here:\n\n<https://pirislabs.io/news/glm-benchmark>\n\nWe welcome independent third-party benchmarking. Feel free to DM us or reach out by email.\n\n#AIInference #MachineLearning #GLM52 #GenAI #AIInfrastructure #TechInnovation\n\n![uploaded image](/media/?type=post&id=104954&key=user_uploads/2792621/98b898a8-99fa-482a-ab7a-d65badc2b3e4)\n\n",
        "url": "https://www.ycombinator.com/launches/RIo-piris-labs-we-set-the-fastest-reported-glm-5-2-inference-speed",
        "votes": 5,
        "created_at": "2026-07-07T22:22:52.996Z"
      },
      {
        "id": 97751,
        "title": "Piris Labs: Inference at Light Speed",
        "tagline": "We deliver low-latency, low-cost AI inference by eliminating the memory wall using full-stack optical interconnects and a purpose-built software stack.",
        "body": "**The Problem: The Memory Wall Is Breaking the Economics of AI Compute**\n\nAI’s promise is unprecedented, but its economics are broken. Copper-based interconnects cannot keep up with modern models, limiting data movement between and within compute and memory. The result is high latency, inefficient hardware utilization, and unsustainable inference costs—creating a hard ceiling on AI margins.\n\n---\n\n**The Solution: Grow-Style Optimization for the Interconnect**\n\nToday’s data-center compute and networking were not designed for inference. Slow, power-hungry **copper** interconnects, along with costly signal processing and memory overhead, drive high latency and high cost.\n\nHigh-performance inference requires purpose-built hardware and a vertically optimized software stack. Piris Labs builds this optimized stack by combining proprietary **optical** interconnects with software designed to maximize hardware utilization. We vertically optimize the interconnect layer—just as the compute layer was vertically optimized by **Groq** (acquired by **NVIDIA** for $20 B).\n\nPiris Labs combines proprietary optical interconnects with a purpose-built software stack designed to maximize hardware utilization, delivering **5x** lower latency, **10x** lower power per bit, and **2x** lower cost per token\\\n\\\n**Our Launch Video**\\\n<https://youtu.be/PW1PbMYw2c0>\n\n**The Team**\n\nWe are a team of specialists at the intersection of hardware and AI:\n\n* Ali Khalatpour: MIT-trained engineer and Harvard–Stanford–trained optical scientist; developed the first room-temperature terahertz semiconductor laser; led the development of GUSTO’s optical engine for NASA\n* Keyvan Rezaei Moghadam: AI scientist and engineering leader with experience building 0-to-1 AI infrastructure at Meta and Twitter.\n\n### **Our Ask**\n\n**AI Products**: If you want to scale your inference workloads while slashing costs, reach out to us at [**contact@pirislabs.io**](mailto:contact@pirislabs.io).\\\n\\\n**Chip Makers & ODM Partners**: We are also looking for a couple of additional partners who get the chance of trying our optical solution first hand. Shoot us an email at [**founders@pirislabs.io**](mailto:founders@pirislabs.io).",
        "url": "https://www.ycombinator.com/launches/PQd-piris-labs-inference-at-light-speed",
        "votes": 21,
        "created_at": "2026-02-12T17:58:23.293Z"
      }
    ]
  },
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    "id": 31128,
    "name": "Cumulus Labs",
    "slug": "cumulus-labs",
    "former_names": [
      "Cumulus"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a985c19aae7a6332fcfc82b7724dd2f4276053d2.png",
    "website": "https://cumuluslabs.io",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Cumulus Labs lets engineering teams ship AI in production without needing a dedicated ML platform team. Right now, companies building AI products are forced to stitch together separate vendors for routing, observability, evaluation, fine-tuning, and inference. This fragmented approach is brittle, expensive, and is a common reason enterprises fail with AI.  \r\n\r\nWe replace that entire stack with a single unified platform. Developers can keep their existing code while instantly upgrading to a unified platform that handles routing, semantic caching, continuous shadow evaluation, simulated data, and one-click fine-tuning. \r\n\r\nBehind the platform is Ion, our proprietary inference engine running on a custom NVIDIA Grace GPU fleet. Ion uses in-house custom GPU kernels to deliver 30 to 50 percent more throughput than standard vLLM or SGLang, giving our customers SOTA inference economics.",
    "one_liner": "The Fastest Multimodal Inference OS",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1768427687,
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    "isHiring": true,
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    "batch": "Winter 2026",
    "status": "Active",
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    ],
    "regions": [
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      "America / Canada",
      "Remote",
      "Partly Remote"
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        "full_name": "Veer Shah",
        "title": "Founder/CEO",
        "founder_bio": "Veer studied Computer Science at the University of Wisconsin—Madison, graduating in December 2025. During college, he worked at an aerospace startup where he led a Space Force SBIR contract for military satellite communications and contributed to several NASA SBIR programs, two of which were commercialized and are currently being flight tested in space. Before college, he captained his FIRST Robotics Team 5422: Stormgears, qualifying for Worlds all four years.",
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        "id": 99054,
        "title": "Founding Engineer — ML Platforms Engineer",
        "url": "https://www.ycombinator.com/companies/cumulus-labs/jobs/xfY8M84-founding-engineer-ml-platforms-engineer",
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      {
        "id": 96856,
        "title": "Cumulus Labs ☁️ | Supercharge Your Training & Inference",
        "tagline": "Meet Cumulus, the GPU cloud where you’re charged by physical resource usage for 50-70% savings.",
        "body": "## **TL;DR**\n\nCumulus is a performant GPU cloud that preemptively optimizes your training and inference workloads across our global supply of multi-tenant clusters. The result: we **save you 50-70%** through charging by physical resources used, provide faster inference with ultra-low cold starts, and ensure zero time spent debugging infrastructure.\n\n**Ask**: If you’re training models or serving inference workloads, frustrated with GPU costs and performance, let us optimize your **LLMs, LoRAs, vision models, and more.**\n\n**Website:** <https://cumuluslabs.io>\\\n**Docs:** <https://docs.cumuluslabs.io>\n\nLaunch Video: <https://www.youtube.com/watch?v=duQwV50GKXc>\n\n## **The Problem**\n\nAI teams are bleeding money and time on GPU infrastructure:\n\n* **Massive waste**: Teams pay for idle GPUs sitting at 30-40% utilization because scaling is unpredictable\n* **Infrastructure hell**: Engineers spend weeks configuring Kubernetes, debugging OOM errors, and managing failovers instead of building models\n* **Cold start latency**: Inference workloads take 10-30+ seconds to spin up, killing user experience\n* **Vendor lock-in**: Once you commit to a cloud provider, switching costs make it nearly impossible to optimize for price or performance\n* **Skyrocketing costs**: Companies burn through runway 2-3x faster than planned because GPU bills spiral out of control\n\nEvery hour debugging infrastructure is an hour not spent improving your models. Every dollar wasted on idle GPUs is a dollar not spent on growth.\n\n---\n\n## **The Solution**\n\n**Cumulus is a GPU optimization layer that makes compute cheap, fast, and invisible.**\n\nWe aggregate compute from everywhere—big cloud providers, trusted data centers, individual hosts—into a single unified pool. Then we do three things no one else does:\n\n# **1. Predictive Packing & Live Migration (Training/Fine-tuning)**\n\nYour training jobs are intelligently packed alongside other workloads to maximize GPU utilization. As your job runs, we predict resource usage and **live-migrate you to faster or cheaper clusters** without interruption. No more paying for an entire H100 when you only need 40% of it.\n\n# **2. Execution State Capture & Global CDN (Inference)**\n\nWe capture your model's live execution state (VRAM, memory, loaded weights) and replicate it across our global compute CDN. When a request comes in, we serve from the closest cluster with **ultra fast cold starts**—no more waiting 30 seconds for a job to spin up. We have tested with **LLMs, vision models, LORAs, and many others.**\n\n# **3. Intelligent Scheduling & Auto-Recovery**\n\nOur scheduler constantly monitors your jobs, diagnoses failures, and auto-recovers without manual intervention. The Cumulus prediction system learns your usage patterns over time and pre-allocates resources before you need them.\n\n**The bottom line:** _You write 20 lines of config. We handle everything else._\n\nOur Demo: <https://www.youtube.com/watch?v=J0KRFWE3-fg>\n\n## **The Team**\n\n![uploaded image](/media/?type=post&id=96856&key=user_uploads/3177002/fbef3bec-137d-4275-8433-8a1ccfad47a5)\n\n(winning the science fair in 4th grade for a robot that solved Rubik’s cubes)\n\n**Veer Shah** (Founder)\\\nLed a Space Force program and worked on ML workloads at an aerospace startup supporting NASA missions, where infrastructure needed to be both performant and secure. \n\n**Suryaa Rajinikanth** (Founder)\\\nBuilt custom GPU compute solutions at TensorDock, then moved to Palantir where he built critical infrastructure for the US Government. Deep expertise in distributed systems and resource optimization.\n\nWe met as third graders and have been building together our whole lives. We've seen the GPU infrastructure problem from both sides: Suryaa from the provider side at TensorDock, Veer from the customer side running mission-critical ML workloads. We started Cumulus Labs because we knew exactly what the industry needed—and no one was building it.\n\n## **What We're Looking For**\n\n**If you're training models or serving inference workloads**, frustrated with vendor lock-in, or simply paying too much for your GPUs, reach out.\n\n**Know AI/ML teams experience any of these issues?** Connect them with us.\n\nWe optimize LLMs, LoRAs, vision models, and more.\n\nWe'd love your feedback on which features matter most.\n\n---\n\n## **Get In Touch**\n\nJoin the waitlist: <https://cumuluslabs.io>\\\nContact us: [founders@cumuluslabs.io](mailto:founders@cumuluslabs.io)\\\nBook a demo: [Here](https://calendar.app.google/NepPaCiZxCTM9vyUA)\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\nHuge thanks to partners, our batch-mates, and everyone who's helped so far.\n\nLet's make AI infrastructure invisible.\n\n— Veer, Suryaa, and the Cumulus team\n\n![uploaded image](/media/?type=post&id=96856&key=user_uploads/3177002/3045bccb-ce6f-4d07-b8dd-37c34772ce14)\n\n",
        "url": "https://www.ycombinator.com/launches/PCC-cumulus-labs-supercharge-your-training-inference",
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        "created_at": "2026-01-16T07:57:30.095Z"
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        "full_name": "George Zhai",
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        "title": "Founding Engineer - Arkhe",
        "url": "https://www.ycombinator.com/companies/autositu/jobs/CvB6tcr-founding-engineer-arkhe",
        "location": "San Francisco, CA, US / Remote (US)",
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        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $250K",
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        "experience": "Any (new grads ok)",
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        "id": 97122,
        "title": "AutoSitu: AI-native Development Plan Review for Faster Approvals",
        "tagline": "Pre-validates submissions against jurisdiction requirements and patterns so teams submit cleaner sets and cities review faster",
        "body": "**TL;DR:** Hi YC! We’re Lin and George, founders of AutoSitu. We’re building software that automatically reviews site and building plan sets in minutes and surfaces what a city is likely to flag before you submit.\n\n**🧱 Problem**\\\nIn real estate, _time kills deals_ — and permitting/review is one of the biggest sources of delay and variance.\\\nMost projects go through **2–3 resubmittal cycles**, adding **3–9 months**.\n\n* Developers: **$50k–$250k+** in carrying costs while projects sit in review\n* Architecture teams: **80–200 hours** of unplanned work per resubmittal\\\n  → at **\\~$130/hr**, that’s **$10k–$25k+** of margin erased on fixed-fee work 🐌\n\n**⚡ Solution**\\\nAutoSitu is an AI-powered development plan review engine that flags the issues that typically surface later — **before submission**, when fixes are cheap.\n\nTeams use AutoSitu to:\n\n* reduce city comments **50–70%**\n* cut resubmittals from **2–3 → 0–1**\n* shorten approvals by **3–6 months+**\n\n**💰 Impact**\\\nThat’s **$100k–$400k** in avoided carrying costs for developers and **$10k–$25k** in preserved fee margin per project for architecture teams.\n\n👋 **Backstory**\\\nLin worked across **20+ U.S. public and private projects** in planning and architecture, sitting on **both sides of the table**, and repeatedly hearing the same question from teams and clients: _why does review take so long when the issues are so predictable?_\n\nGeorge spent years building automation systems in robotics and AI, turning processes that took **weeks of manual effort** into scalable pipelines, cutting costs from **$50k to $2k** while keeping humans in the loop.\n\nAutoSitu started from a shared realization: permit review isn’t slow because people aren’t trying, it’s slow because the same checks are repeated manually, at scale, with no early signal.\n\n[🎥 **Launch Video**: https://youtu.be/77ErS3Ja4Ho](https://youtu.be/77ErS3Ja4Ho)\n\n🤝 **Ask / CTA**\n\nIf you’re an **architecture/development** team, we’d love to **apply the same playbook from our successful deployments** to your next submission, we’ll help you run AutoSitu end-to-end on a real plan set.\n\n**Reach us** at [**founders@autositu.com**](mailto:founders@autositu.com) or [DM](https://www.linkedin.com/company/autositu).\\\n**Visit us: [https://autositu.com/](https://autositu.com/)**\n\n![uploaded image](/media/?type=post&id=97122&key=user_uploads/2679474/04e7826b-9b84-4745-9714-a57ac24f95d1)\n\n",
        "url": "https://www.ycombinator.com/launches/PGU-autositu-ai-native-development-plan-review-for-faster-approvals",
        "votes": 6,
        "created_at": "2026-01-26T21:00:55.911Z"
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    "id": 31138,
    "name": "Aemon",
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    "website": "https://aemon.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Aemon is the first autonomous research engineer that delivers state-of-the-art solutions to your engineering problems. It generates, tests, and evolves thousands of approaches at machine speed to discover optimal solutions beyond what human experts can find.\r\n\r\nAemon already set a new world record on an NP-hard math optimization problem with <$10 of compute, beating the previous record set by Google DeepMind in 2025.\r\n\r\nRay and Richard (twin brothers) dropped out of UWaterloo and UIUC to build Aemon. They published at top AI conferences like ICLR and EMNLP before turning 20.",
    "one_liner": "The Forward-Deployed AI Research Engineer ",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B",
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    "batch": "Winter 2026",
    "status": "Active",
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      "America / Canada"
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    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/aemon-ai/",
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      "name": "Jon Xu",
      "url": "https://www.ycombinator.com/people/jon-xu"
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        "user_id": 1990817,
        "full_name": "Richard Zhou",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder at Aemon (YC W26). Waterloo CS dropout. International medalist in math & robotics.",
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        "full_name": "Ray Xu",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder at Aemon (YC W26). UIUC CS dropout. Published at top AI conferences like ICLR and EMNLP before turning 20.",
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        "id": 97531,
        "title": "Member of Technical Staff Intern 2027",
        "url": "https://www.ycombinator.com/companies/aemon/jobs/1eLVh1X-member-of-technical-staff-intern-2027",
        "location": "San Francisco, CA, US",
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        "title": "Member of Technical Staff (Research Engineering) ",
        "url": "https://www.ycombinator.com/companies/aemon/jobs/JrUC2Px-member-of-technical-staff-research-engineering",
        "location": "San Francisco, CA, US / Remote",
        "type": "Full-time",
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      {
        "id": 98200,
        "title": "Aemon — The AI R&D Engineer",
        "tagline": "Your next breakthrough. Found automatically.",
        "body": "# \\*\\*\\*\\*\n\nHi! We're Ray and Richard — twin brothers, and co-founders of [Aemon](https://aemon.ai/).\n\n## TL;DR\n\nAemon is an AI R&D engineer. Give it a problem and a way to measure success — it reads state-of-the-art research, then generates and evolves thousands of approaches at machine speed to discover optimal solutions, often going beyond what human experts can find.\n\nYou say: \"Here's my problem. Here's how I measure success. Beat the best known solution.\"\n\nAemon is already in the hands of R&D teams, discovering solutions that surpass their existing approaches.\n\nWe pointed Aemon at the circle packing problem — a classic NP-hard optimization challenge that mathematicians have worked on for decades.\n\n**Aemon set a new world record. With less than $10 of compute. (see below)**\n\n## 😖 The Problem\n\nGlobal R&D spend is $3.1 trillion a year. And every R&D problem has the same shape: you know what success looks like, but you don't know how to get there.\n\nToday, that means hiring R&D engineers to read and align papers, pick an approach, implement it, test it, and iterate — by hand. It's slow, it's expensive, and no matter how good your team is, they can only explore a tiny fraction of the solution space. That means the best solution is almost certainly out there, untested, because no human team has the bandwidth to find it.\n\nThis isn't a tooling problem. It's a search problem — and humans are the bottleneck.\n\n## 🤓 Our Solution\n\nAemon does what a world-class R&D engineer does — but at a scale no human team can match.\n\n* **Research synthesis** — Aemon reads state-of-the-art papers to understand what's been tried, what works, and where the frontier is.\n* **Autonomous evolution** — It generates and evolves thousands of approaches against your eval, exploring far more of the solution space than any human team could.\n* **Expert steerable** — Your team stays in control. A simple direction is all it takes to guide Aemon — constraining the solution space, prioritizing certain approaches, or steering away from dead ends. R&D gets faster and more precise, and Aemon fits into your existing R&D workflow.\n* **Beyond state-of-the-art results** — Aemon doesn't just match the best known solution. It looks for better ones — and finds them.\n\nThe result: solutions that are validated against your eval, benchmarked against the public state of the art. Your experts stay in the loop — Aemon just gives them superhuman reach. <https://youtu.be/YOswpdEcFUM>\n\n## 🥇 New Record\n\nWe pointed Aemon at the circle packing problem — a classic NP-hard optimization challenge that mathematicians have worked on for decades.\n\nAemon set a new world record. With less than $10 of compute.\n\nIt beat Google DeepMind's AlphaEvolve with fractional the cost.\n\nVerify it yourself using their official verifier (B.12, n=26): [\\[VERIFIER LINK\\]](https://colab.research.google.com/github/google-deepmind/alphaevolve_results/blob/master/mathematical_results.ipynb#scrollTo=v3kEu5yVeJ2h) | [Aemon’s Solution](https://aemon.ai/#:~:text=of%20compute-,View,-Aemon%27s%20solution)\n\n## Our Story\n\nWe're twins who've been working together our whole lives. We published at ICLR and EMNLP before turning 20, then dropped out of UWaterloo and UIUC to build Aemon full-time. There's a good story behind why we started this — too long for here, but ask us and we'll tell you.\n\n## 🙏 Our Ask\n\nIf you are, or know, any of the following, we'd love to talk:\n\n* CTOs, Heads of R&D, or engineering leaders evaluating whether to hire another R&D engineer or want to accelerate R&D.\n* Leadership at teams working on any problem where you have a clear eval but no clear path to the best solution\n* AI/ML teams trying to be and staying SOTA\n* computational teams in fields like quant, finance, biotech, logistics, or materials science where better algorithms directly drive business value\n\nPlease reach out to us at [founder@aemon.ai](mailto:founder@aemon.ai) or book a discovery call at [aemon.ai](http://aemon.ai)",
        "url": "https://www.ycombinator.com/launches/PXs-aemon-the-ai-r-d-engineer",
        "votes": 23,
        "created_at": "2026-02-26T00:04:45.721Z"
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    "id": 31141,
    "name": "OctaPulse",
    "slug": "octapulse",
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        "full_name": "Mitchell Fogelson",
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        "experience": "Any (new grads ok)",
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        "title": "Brooklyn-based Beyond Reach Labs inks 16K lease at Industry City - Crain's New York Business",
        "url": "https://www.crainsnewyork.com/real-estate/commercial/beyond-reach-labs-industry-city-lease-spacex-veteran-20260918/",
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      {
        "title": "North American Clean Energy - One Orbital Solar Array at a Time from its New Industry City Headquarters",
        "url": "https://www.nacleanenergy.com/solar/one-orbital-solar-array-at-a-time-from-its-new-industry-city-headquarters",
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        "title": "Beyond Reach Labs Unveils Flarewing Deployable Solar Arrays",
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        "id": 97994,
        "title": "Beyond Reach Labs: Solar Panels in Space the size of football-fields",
        "tagline": "The future in Space is unfolding",
        "body": "**TL;DR** We’re building deployable solar arrays that expand from the size of a dining table to a football field in orbit. We already have several LOIs from Space companies totaling over $175M and are planning our first in-space demo flight for Q2 2027.\n\n<https://youtu.be/j3FkauBHD8o>\n\n# _The Problem:_\n\nJust like the trunk of your car on a road trip, a rocket ride to space is volume-constrained.\n\nBut the critical systems that enable Space services — solar arrays and thermal radiators — get better as they get bigger. Power generation and heat dissipation both require a large surface area, and both must be tightly packed for launch.\n\n![uploaded image](/media/?type=post&id=97994&key=user_uploads/3155260/61659d57-59a7-45a9-bb77-aada242bc186)\n\nAs space infrastructure scales, power demands per launch are rising fast. That means more watts generated and rejected. Existing deployable structures don’t scale to meet this demand - they’re unreliable, too expensive, take up too much volume, and, importantly for controlling the satellite, too flimsy after deployment.\n\nPower generation and heat dissipation are becoming the limiting factors for larger, more capable spacecraft.\n\n# _The Solution:_\n\nBeyond Reach Labs builds solar panels and thermal radiators for space that grow from the size of a dining table to a football field in orbit, supporting the growing demand for power from orbital data centers, commercial space stations, and lunar outposts.\n\n![uploaded image](/media/?type=post&id=97994&key=user_uploads/3155260/d99b0409-8374-4f34-abab-4d7c6de81717)\n\nOur **patented deployable structures** dramatically improve both stowage efficiency and structural stiffness, enabling kilometer-scale systems from a single launch.\n\nWe’re starting with deployable solar arrays, where we’ve already secured several multi-million dollar LOIs from customers building next-generation space platforms.\n\nOur first flight demonstration is targeted for late Q2 2027.\n\n# _Why now?_\n\nPower demand in orbit is exploding… scaling from \\~**50 Megawatts today to &gt;500 Gigawatts by 2035** (a 10,000x increase), driven by mega-constellations and in-space data centers - and the deployment bottleneck is becoming critical.\n\n![uploaded image](/media/?type=post&id=97994&key=user_uploads/3155260/15ea5164-dec9-48a4-a7b9-c29861dde096)\n\n# _Why us?_\n\n**Pele Collins:** \\~7 years at SpaceX leading parachute engineering & production, supporting 30+ Dragon missions — designing, qualifying, and flying mission-critical space hardware.\n\n**Dr. Mitchell Fogelson:** PhD from Carnegie Mellon focused on the design, optimization, and simulation of large deployable space structures with NASA - and the inventor of BRL’s core technology.\n\nWe’ve been building together since freshman year at UPenn (2013).\n\n![uploaded image](/media/?type=post&id=97994&key=user_uploads/3155260/adf86f6f-da51-46d2-a2bb-e5360ca6037f)\n\n# Long-term vision\n\nNear-term: Make deployables boring, trustworthy, and scalable for today’s missions.\n\nLong-term: Enable kilometer-scale space infrastructure — including artificial-gravity stations and persistent human presence in space.\n\n![uploaded image](/media/?type=post&id=97994&key=user_uploads/3155260/a3ea1c41-9f88-4a88-b78e-4b78f2d8a543)\n\nIf this resonates, please reach out to us here: [founders@beyondreachlabs.io](mailto:founders@beyondreachlabs.io)\n\n# **Links**\n\nWebsite: <https://www.beyondreachlabs.com>\n\nPele: <https://www.linkedin.com/in/pelecollins/>\n\nMitch: <https://www.linkedin.com/in/mitchell-fogelson/>",
        "url": "https://www.ycombinator.com/launches/PUY-beyond-reach-labs-solar-panels-in-space-the-size-of-football-fields",
        "votes": 23,
        "created_at": "2026-02-19T23:11:27.860Z"
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    "team_size": 7,
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        "id": 97571,
        "title": "RamAIn: Teach AI to use your legacy systems, desktop applications and web portals just like a human",
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        "url": "https://www.ycombinator.com/launches/PNj-ramain-teach-ai-to-use-your-legacy-systems-desktop-applications-and-web-portals-just-like-a-human",
        "votes": 150,
        "created_at": "2026-02-06T03:22:35.642Z"
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      "url": "https://www.ycombinator.com/people/tyler-bosmeny"
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        "user_id": 2551519,
        "full_name": "Pamir Ehsas",
        "title": "Founder/CEO",
        "founder_bio": "We handle your startup’s legal work, with elite lawyers & same-day turnaround | Ex-outside counsel to OpenAI, Google ",
        "is_active": true,
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        "id": 93068,
        "title": "Open Role",
        "url": "https://www.ycombinator.com/companies/moritz/jobs/l65jiEz-open-role",
        "location": "San Francisco, CA, US / New York, NY, US / Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$70K - $180K",
        "equity_range": "0.10% - 0.60%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 93446,
        "title": "Founding BDR",
        "url": "https://www.ycombinator.com/companies/moritz/jobs/mLJtw4g-founding-bdr",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$100K - $120K",
        "equity_range": "0.05% - 0.15%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 101258,
        "title": "Founding Commercial Attorney",
        "url": "https://www.ycombinator.com/companies/moritz/jobs/9vMaf2h-founding-commercial-attorney",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Legal",
        "role_type": null,
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        "equity_range": "0.20% - 0.40%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 103338,
        "title": "Founding Account Executive",
        "url": "https://www.ycombinator.com/companies/moritz/jobs/04MIt4f-founding-account-executive",
        "location": "New York, NY, US / San Francisco, CA, US / Remote",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$90K - $110K",
        "equity_range": "0.10% - 0.30%",
        "experience": "1+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 105320,
        "title": "Founding Product Designer",
        "url": "https://www.ycombinator.com/companies/moritz/jobs/SmndAaw-founding-product-designer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Design",
        "role_type": "Product design",
        "salary_range": "$120K - $180K",
        "equity_range": "0.10% - 0.30%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 110253,
        "title": "Founding Full-Stack Engineer ",
        "url": "https://www.ycombinator.com/companies/moritz/jobs/uJfcvR1-founding-full-stack-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $250K",
        "equity_range": "0.10% - 0.60%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Amazon Web Services (AWS)",
          "PostgreSQL",
          "React",
          "TypeScript",
          "Next.js",
          "AI Agents"
        ]
      }
    ],
    "news": [
      {
        "title": "Y Combinator alum Moritz raises $9m to build a law firm supercharged with AI | Sifted",
        "url": "https://sifted.eu/articles/y-combinator-alum-moritz-raises-9m",
        "date": "May 05, 2026"
      },
      {
        "title": "AI-Powered Law Firm Moritz Secures $9 Million in Seed Funding - Business Insider",
        "url": "https://www.businessinsider.com/moritz-ai-law-firm-seed-funding-y-combinator-2026-5",
        "date": "May 04, 2026"
      }
    ],
    "launches": [
      {
        "id": 97011,
        "title": "Moritz: AI-native legal services for fast moving companies 👩🏻‍⚖️",
        "tagline": "We handle your legal work, with elite lawyers & same-day turnaround",
        "body": "We’re [Pamir](https://www.linkedin.com/in/pamirehsas/) and [Stefan](https://www.linkedin.com/in/stefan-mandaric/) - founders of [Moritz](http://moritzlegal.com/) 👋\n\n**TL;DR**\n\nMoritz provides AI-native legal services to fast moving companies. Our AI does 80% of the work, so you pay our lawyers only for the final 20%.\n\nLet us resolve your legal issues faster. We use elite startup lawyers and offer flat upfront pricing. Book a [demo](https://cal.com/riddhibajaj/moritz-discovery-call) or email [contact@moritzlegal.com](mailto:contact@moritzlegal.com).\n\n<https://youtu.be/Xg4SEuYoZK0>\n\n**🤯 The Problem**\n\nI’m a former outside counsel to OpenAI and even there – at a company with more money than most – I couldn’t believe how broken the legal experience was:\n\n* **Slow** - I often saw even simple cases get held up for weeks in legal\n* **Opaque billing** - companies never knew what something would cost until they got a giant bill a month later\n* **Not-AI native** - most lawyers would start each project from scratch, instead of taking advantage of AI\n\n**🤖+👩🏻‍⚖️= The Solution**\n\nMoritz is a new way of handling your legal work, one that merges top-tier lawyers with the power of AI. \n\nWe’ve built a bench of top-tier startup lawyers - folks from top schools (Harvard, Stanford, Oxford) and leading firms (Cooley, Goodwin, Fenwick). \n\nOur lawyers start with first drafts generated with AI, and then do final revisions, which ends up reducing the work by 80%. This means you pay less, but more importantly, your legal matters can often be handled same-day.  \n\n**No other law firm today offers this kind of speed.**\n\n## 🧐 **Why should you trust us?**\n\nWe’re founders serving other founders. In the past few months, we’ve helped 50+ companies across the US and Europe. \n\nBuilding a startup is hard, and hearing how we’re simplifying legal work for other founders has been the highlight of our journey:\n\n> Moritz delivered our MSA the same day for $750. They move at startup speed, understand our business, and keep costs founder-friendly\n\n\\- Chetan, YC-backed founder at Rhizome AI\n\n> Moritz delivered fast, actionable guidance on a complex corporate issue - exactly what I want from lawyers in the AI era\n\n\\- Perry, YC-backed founder at Arylla\n\n> Moritz lets us move fast without breaking things or worrying about legal risk\n\n\\- Saksham, YC-backed founder at Cardboard\n\n> Moritz delivered everything we needed to launch our product at a fraction of the costs from a BigLaw firm. They also uncovered mistakes in past legal work we’d received from other law firms.\n\n\\- Cathrine, founder at Nordic Brain Tech\n\n# 👩🏻‍💻 **How does it work?**\n\n**1. Forward to Moritz:** A contract lands in your inbox full of redlines. Or you need something drafted from scratch. No matter what it is, forward it to Moritz [here](https://app.moritzlegal.com/), with a description on what you’re trying to get done. \n\n**2. Upfront flat fee:** Before our lawyers start working, you’ll know exactly what it costs. No surprise bills, no opaque “we’ll see how long it takes”-disclaimers. \n\n**3. AI does the first 80%**: Our AI drafts the first pass, pulls relevant templates, playbooks, precedent data, industry data, your attachments and customer data. \n\n**4. A top startup lawyer reviews 20%:** An elite startup lawyer reviews, revises, answers your questions and applies judgment to your situation. This is the part you’re paying for. \n\n**5. Same-day turnaround:** Because the heavy lift is already done, we can often turn work same-day. \n\n**Slack-integration**: We can also plug into Slack and operate like your fractional general counsel - on call whenever you need us. \n\n## **🧑‍🤝‍🧑 Who we are and how you can help**\n\nPamir is lawyer and former outside counsel to OpenAI and Google, and Stefan is an AI engineer (ex-Fulbright at MIT). \n\nWe’re on a mission to build the legal services we always wanted, and we’d love for you to join the mission.\n\n* If you have an upcoming legal matter, we’d love to help. Book a demo [here](https://cal.com/pamire/30min) \n* If you know founders who’d benefit, please share this with them\n* If you can recommend any truly elite lawyers, we’d love an intro\n\n![uploaded image](/media/?type=post&id=97011&key=user_uploads/2551519/34e6ef9e-d7e4-4fd2-b816-f35d39e343e0)\n\n",
        "url": "https://www.ycombinator.com/launches/PEh-moritz-ai-native-legal-services-for-fast-moving-companies",
        "votes": 253,
        "created_at": "2026-01-21T15:34:32.847Z"
      }
    ]
  },
  {
    "id": 31147,
    "name": "Salus",
    "slug": "salus",
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    "website": "https://www.usesalus.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Your agent processed a refund without looking up the order ID, costing you thousands. You only found out three hours later from a support ticket. Evals, output scoring, and observability can reduce the likelihood of mistakes like these occurring - but there's no solution that inspects and prevents an action as it’s about to execute. Salus does that.\r\n\r\nWe’ve built an API that wraps around your agent and checks its actions at run time, blocking incorrect ones and providing immediate feedback to guide retries. ",
    "one_liner": "Guardrails to validate your agent's actions before they execute",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1770354850,
    "tags": [
      "Developer Tools",
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        "full_name": "Vedant Singh",
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        "is_active": true,
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        "url": "https://www.ycombinator.com/companies/salus/jobs/6xN06s6-founding-swe-mle",
        "location": "San Francisco, CA, US / New York, NY, US / Remote (US)",
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        "id": 97574,
        "title": "Salus - Runtime guardrails that validate AI agent actions before they execute",
        "tagline": "Salus checks your agent's actions, blocking incorrect ones and providing feedback to guide retries",
        "body": "### **TL;DR:**\n\n**Salus is an API that wraps around your agent and checks its actions at runtime, blocking incorrect ones and providing immediate feedback to guide retries.**\n\nWe’re Kevin and Vedant, former roommates at Stanford who studied CS, now building Salus full-time.\n\n### 😔**The problem:** \n\nYour agent processed a refund without looking up the order, costing you thousands. It emailed your top lead using hallucinated data, ruining the deal. You only found out three hours later from a support ticket or an angry email.\n\nEvals, output scoring, and observability are all necessary—but all reactive. They can reduce the likelihood of these problems occurring, but there's no solution that inspects an action as it’s about to execute. Salus does that.\n\n**Ask:** If you are deploying agents and want to improve their correctness we’d love to help. Book a demo [here](https://calendly.com/d/cycy-fbc-fyj/salus-demo), and we can onboard you immediately with just a pip install and a few lines of code.\n\n### 💻 **Our Solution:** \n\n<https://youtu.be/uyl5NJTY5Cg>\n\n**How Salus validates an action:**\n\n1. Actions must be **grounded in evidence**: Salus maintains an evidence cache for each run that every proposed action is validated against. Evidence includes all outputs from prior tool calls and the entire conversation history.\n2. It must **adhere to policy**: Write constraints in YAML, markdown, or plain English. Salus compiles them into runtime checks that are version-controlled, diffable, and shadow-testable\n3. And **more**: PII detection, budget/loop protection, idempotency, human-in-the-loop escalation, content moderation\n\n**Self-repairing:** When Salus blocks an action, the agent receives structured feedback to guide a retry. In our benchmarks, **58%** of blocked actions recover and complete the task correctly.\n\n### 📊 **Benchmarks:** \n\nWe tested Salus on τ²-bench and ODCV-Bench. On τ²-bench, agents with Salus follow policies more reliably, at up to **60% lower cost**. On ODCV-Bench, Salus **reduced misalignment by 52%** on average across 12 frontier models (see below).\n\n![uploaded image](/media/?type=post&id=97574&key=user_uploads/1940292/e48b27f6-2e13-4d40-a9a4-13135ff981bc)\n\n### ➕ **Other Features:** \n\nWhile we believe the missing piece is runtime validation, we know **evals and observability** are crucial. That’s why we incorporate all three in **one centralized product**. Using templates and LLMs, we generate thousands of both adversarial and realistic evals that have full context of your agent’s domain.\n\nContact us: [founders@usesalus.ai](https://founders@usesalus.ai)\n\n![uploaded image](/media/?type=post&id=97574&key=user_uploads/1940292/cc3d0be7-941f-46ef-be8f-1294b9148073)\n\n",
        "url": "https://www.ycombinator.com/launches/PNm-salus-runtime-guardrails-that-validate-ai-agent-actions-before-they-execute",
        "votes": 30,
        "created_at": "2026-02-06T11:20:42.138Z"
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    "id": 31151,
    "name": "Sparkles",
    "slug": "sparkles",
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2fa726d414c3f4d378fa6af116bb14e3abb29e0f.png",
    "website": "https://sparkles.dev",
    "all_locations": "London, England, United Kingdom",
    "long_description": "Sparkles is like Lovable for existing projects, so even Sharon from Marketing can change the button styling on the front page without going back and forth with the dev team.\r\n\r\nSomeone technical connects their GitHub to Sparkles, sets up the repository and environment variables, and then anyone on the team with a @yourcompany.com email can log in on Sparkles and create pull requests without needing to know what Git is.",
    "one_liner": "Make everyone on your team an engineer",
    "team_size": 1,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1768436882,
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    "year_founded": 2025,
    "city": "London",
    "country": "GB",
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        "full_name": "Ai Daniil Bekirov",
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        "founder_bio": "20 | 🇺🇦\n\nI dropped out of University College London to build Sparkles (W26).\n\nPreviously worked at Iterate.com (founded by Jonas who was previously the co-founder and CTO of Monzo. Backed by OpenAI, Index etc.) and StructuredAI (F25)",
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        "title": "Founding Engineer (London)",
        "url": "https://www.ycombinator.com/companies/sparkles/jobs/ttwqpbX-founding-engineer-london",
        "location": "London, England, GB / San Francisco, CA, US",
        "type": "Full-time",
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        "experience": "Any (new grads ok)",
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        "id": 107153,
        "title": "Founding GTM (London)",
        "url": "https://www.ycombinator.com/companies/sparkles/jobs/vDlglwX-founding-gtm-london",
        "location": "London, England, GB / San Francisco, CA, US",
        "type": "Full-time",
        "role": "Marketing",
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        "salary_range": "£70K - £100K GBP",
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    "launches": [
      {
        "id": 97488,
        "title": "Sparkles - Lovable for existing projects",
        "tagline": "Make everyone on your team an engineer ✨",
        "body": "Hey, I’m **Dan** - Founder of **Sparkles (W26)**\n\n![uploaded image](/media/?type=post&id=97488&key=user_uploads/2590397/2522ae4d-df6f-4327-bdf4-03a05bc9493b)\n\n**Sparkles is like Lovable for existing projects**, so even your hypothetical Sharon from Operations can change the button styling on the front page without going back and forth with the dev team.\n\n[Sparkles launch video](https://youtu.be/v6u7wlGYPIU)\n\n**The problem**\n\nIf you’ve ever tried onboarding a non-technical person onto Claude Code / Cursor / Codex, you’ve definitely heard at least one of these:\n\n* “I think I pushed the `.env` to GitHub… is that bad?”\n* “Terminal is asking for my password but nothing is showing—my keyboard broke.”\n* “It tells me to run `git push --force`… is that like a Star Wars thing ?”\n* “Do I run `npm install` every time I open the laptop?”\n\nThis is what happens when a non technical person interacts with the CLI and dev server. It is a non user friendly environment that takes time to learn.\n\n**The Solution**\n\n![uploaded image](/media/?type=post&id=97488&key=user_uploads/2590397/943d834c-9a37-4152-b3ec-3c015f87bb9f)\n\nSparkles is a web platform that fully abstracts from local development. Your GTM/Designer/Marketing team don’t need to know what is git, what is a cli, what is a dev server etc. They will see a lovable-like UI with the preview and the chatbox, so they can ship the updates as fast as they can type ✨\n\nWhen someone makes a change on Sparkles they have an option to “upload” the changes, which essentially creates a Github PR for your engineer to review.\n\nWe are working on Enterprise level rulesets for PR creation, commit batching etc, so you don’t have to review thousands of PRs if you have a bigger team.\n\n**The Team**\n\n* Ai Daniil Bekirov - CEO\n\n  Legally AI. UCL dropout. Prev @ [iterate.com](http://iterate.com), StructuredAI (F25)\n\n**The ask**\n\nIf you want to cut down your backlog, or have non engineers who want to use cutting edge AI tools without the _steep_ learning curve, we’d love to talk. Intros to VPs of Operations, Marketing and Sales are appreciated 🙏\n\n**Email:** [dan@sparkles.dev](mailto:dan@sparkles.dev)\n\n![uploaded image](/media/?type=post&id=97488&key=user_uploads/2590397/84685a34-3e29-4220-a0d6-474197cc61ff)\n\n",
        "url": "https://www.ycombinator.com/launches/PMO-sparkles-lovable-for-existing-projects",
        "votes": 164,
        "created_at": "2026-02-04T07:27:06.748Z"
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    "id": 31154,
    "name": "Orthogonal",
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    "website": "https://orthogonal.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "APIs weren't built for agents. Orthogonal fixes that. We enable agentic payments so any agent can instantly discover, access, and pay for hundreds of APIs. No subscriptions, no sales calls, just pay per use. API providers list once and get paid every time an agent calls their API.",
    "one_liner": "Agentic Payments for APIs",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1769466101,
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    "batch": "Winter 2026",
    "status": "Active",
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/orthogonal",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/orthogonal.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/orthogonalsh",
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    "primary_partner": {
      "name": "Tyler Bosmeny",
      "url": "https://www.ycombinator.com/people/tyler-bosmeny"
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    "founders": [
      {
        "user_id": 334152,
        "full_name": "Christian Pickett",
        "title": "Founder/CEO",
        "founder_bio": "Cofounder @ Orthogonal - Agentic Payments for APIs\nPrev. Vercel & Coinbase",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/christian-pickett",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f622ed590a91e278a5605acc7d60889f0d878d0e.jpg"
      },
      {
        "user_id": 1380929,
        "full_name": "Bera Sogut",
        "title": "Founder/CTO",
        "founder_bio": "Cofounder @ Orthogonal - Agentic Payments for APIs\n2x ACM ICPC World Finalist | Prev. Google, Amazon Robotics",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/berasogut",
        "x_url": "https://twitter.com/berasogut1",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6be9f4ca7dd5529df3e1133ab15032fda28e5f05.jpg"
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    ],
    "jobs": [
      {
        "id": 114623,
        "title": "Senior Software Engineer",
        "url": "https://www.ycombinator.com/companies/orthogonal/jobs/aExdocL-senior-software-engineer",
        "location": "San Francisco, CA",
        "type": "Full-time",
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        "equity_range": "",
        "experience": "5+ years",
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      },
      {
        "id": 115415,
        "title": "Growth Lead",
        "url": "https://www.ycombinator.com/companies/orthogonal/jobs/hnvSlmj-growth-lead",
        "location": "San Francisco, CA",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
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        "equity_range": "",
        "experience": "5+ years",
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      },
      {
        "id": 115416,
        "title": "Design Engineer",
        "url": "https://www.ycombinator.com/companies/orthogonal/jobs/30qoV7B-design-engineer",
        "location": "San Francisco, CA",
        "type": "Full-time",
        "role": "Engineering",
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        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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    ],
    "news": [
      {
        "title": "Orthogonal Is Betting the Agent Economy Needs Better Infrastructure, Not Just Better Models - TheStreet Crypto: Bitcoin and cryptocurrency news, advice, analysis and more",
        "url": "https://www.thestreet.com/crypto/newsroom/orthogonal-is-betting-the-agent-economy-needs-better-infrastructure",
        "date": "Jun 25, 2026"
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    ],
    "launches": [
      {
        "id": 97308,
        "title": "Orthogonal - Agentic Payments for APIs",
        "tagline": "APIs weren’t built for agents, we fixed that.",
        "body": "**TL;DR:** APIs weren’t built for agents, we fixed that. Developers and agents get instant access to hundreds of APIs through our MCP or SDK. No key management, no billing headaches, pay as you go. API providers list once and become instantly discoverable. \n\n_Ask:_ We’d love an intro to teams building agents to understand how they’re handling paid APIs today. Contact us at [founders@orthogonal.com](mailto:founders@orthogonal.com)\n\n<https://www.youtube.com/watch?v=CixNTItWDjI>\n\n**The Problem:**\n\nAI agents are about to become the biggest consumers of APIs on the internet. But they struggle to access tools.\n\nMCP helped standardize tool calling, but created fragmentation. Some services have MCPs, others don't. Some map to single APIs, others wrap entire workflows. Agents end up with 30+ tools, bloating context.\n\nWorse, any MCP requiring identity or payment means managing accounts, API keys, billing, and auth across dozens of services. And most APIs don't even have MCPs.\n\nYou could have your agent find APIs, sign up, handle auth, and buy credits, but the failure rate is high. The entire API economy was built for humans.\n\nMeanwhile, API providers are leaving money on the table. Billions of agents could be paying for their APIs right now, but they have no way to find or transact with them.\n\nThese APIs are locked behind API keys and human payment methods, which agents do not have access to.\n\n**The Solution:**\n\nOrthogonal is where agents go to find and pay for APIs.\n\n**For AI Agents and Developers:**\n\n![uploaded image](/media/?type=post&id=97308&key=user_uploads/334152/4a24efb7-cfff-4dec-88fb-5b3afaba2dc7)\n\n* Add our MCP to your agent for instant access to hundreds of paid APIs\n* Or use our SDK as a single, unified gateway to those APIs\n* You purchase Orthogonal credits, and we handle paying the APIs\n* Natural language search: \"I need an API to get Garry Tan’s latest tweets\"\n* No context bloat, no API keys to manage, no billing relationships to maintain\n* We can handle rate limits, retries, and dynamic routing\n\n![uploaded image](/media/?type=post&id=97308&key=user_uploads/334152/10cc2d87-3e65-4897-bdd7-c047d3393b38)\n\n**For API Providers:**\n\n* List your API once, and it's instantly discoverable by every AI agent and developer using our platform\n* Get paid per request. No subscriptions, no invoices, no payment disputes\n* Set your own prices, including dynamic pricing\n* We also enable x402 on your APIs\n\n![uploaded image](/media/?type=post&id=97308&key=user_uploads/334152/29c9cec0-f260-446b-9d88-9ee284642bdb)\n\nWe're starting with **Search, Scraping, Datasets, and AI Model APIs**.\n\n**About Us:**\n\nWe're Christian and Bera. We met at McGill and have been close friends ever since. Christian worked on payments at Coinbase and billing at Vercel. Bera worked on reCAPTCHA and Maps APIs at Google. Between the two of us, we've lived in payments and API infrastructure, and this problem sits right at the intersection.\n\n![uploaded image](/media/?type=post&id=97308&key=user_uploads/334152/cd2b5a57-5b00-45f0-aeb8-bb15a3e7bc2e)\n\n**The Ask:**\n\n* Intros to teams building AI agents that need easy access to paid services\n* Intros to teams managing APIs across many platforms who'd love to unify them\n\nIf you are a developer or have agents, sign up to get $10 of credits towards API usage : <https://www.orthogonal.com>\n\nWe appreciate our early believers: Precip (YC W24), Riveter (YC F24), Andi (YC W22), Shofo (YC W26), Fiber AI (YC S23), Sixtyfour (YC X25), Olostep, ScrapeGraph, Linkup\n\n**Find us:**\n\nWebsite: <https://www.orthogonal.com/>\n\nLinkedin: <https://www.linkedin.com/company/orthogonalsh>\n\nX: <https://x.com/orthogonal_sh>",
        "url": "https://www.ycombinator.com/launches/PJU-orthogonal-agentic-payments-for-apis",
        "votes": 31,
        "created_at": "2026-01-29T23:34:27.018Z"
      }
    ]
  },
  {
    "id": 31156,
    "name": "Ventura",
    "slug": "ventura",
    "former_names": [
      "Autola"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/da34d67bc7bfb583fad0d2c587e602fbe787b210.png",
    "website": "https://www.ventura.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Ventura builds the AI workforce for distributors and manufacturers, starting with quoting and order entry. It plugs into your existing ERP, follows your SOPs, and learns your team's tribal knowledge - getting smarter with every completed task.",
    "one_liner": "AI Workforce for Distributors and Manufacturers",
    "team_size": 2,
    "industry": "Industrials",
    "subindustry": "Industrials",
    "launched_at": 1772945697,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2026",
    "status": "Active",
    "industries": [
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    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/ventura",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/ventura.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/getventura",
    "x_url": "",
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        "id": 98814,
        "title": "Ventura - AI Teammates for Industrial Distributors",
        "tagline": "We automate quoting and order processing. Distributors win more business.",
        "body": "Hey everyone, we’re [Jack](https://www.linkedin.com/in/jackmpcollins) and [Swen](https://www.linkedin.com/in/swenkoller/) - cofounders of [Ventura](https://www.ventura.ai) 👋\n\n**TL;DR**\n\nIndustrial distributors spend billions of dollars a year on inside sales teams whose primary job is manually typing quotes and orders into ERPs. Ventura automates that work. Reps go from doing data entry to approving AI-generated quotes. Response times drop from hours to minutes, and distributors win more business.\n\n<https://youtu.be/eKK1mMQ6_Ss>\n\n**❌ The Problem**\n\nIndustrial distribution is an $8 trillion industry. It keeps the construction industry supplied and factories running. But the tools running it haven't kept up.\n\nA typical distributor gets hundreds of quote and order requests every day - over email, PDF, Excel, handwritten fax, and phone. Every one has to be manually read, interpreted, and typed into the ERP. By a human.\n\nThe best salespeople in the industry spend their days on data entry instead of selling.\n\n**✅ The Solution**\n\nVentura plugs into the ERP distributors already run on. Most customers are live within days. Ventura interprets the incoming request, drafts a quote or order, and provides an interface for reps to review Ventura’s output. The result then gets submitted to the ERP.\n\n**👋 The Team**\n\n![uploaded image](/media/?type=post&id=98814&key=user_uploads/490571/920c9dc4-5f6c-4f68-bc51-eb8302bda77d)\n\nSwen (CEO) — Advised steel, cement, and industrial machinery manufacturers as a consultant at BCG, then co-founded and exited a process automation platform for European wholesale distributors. While doing his MBA at Harvard, he embedded with a $2bn distributor to build their AI sales automation from scratch. That became Ventura.\n\nJack (CTO) — Has been building with AI Language Models since before they became large. Founding Engineer at Develop Health, where he automated back-office operations in healthcare with AI - the same class of problems we're solving for distributors. The company scaled from zero to $7M ARR in 14 months with a team of 5.\n\n🤝 **Our Ask**\n\nAre you a distributor or manufacturer with a large inside sales or customer service team? We'd love to show you what Ventura can do.\n\n📧 Reach out: [founders@ventura.ai](mailto:founders@ventura.ai)\n\n🌐 Request a demo: [www.ventura.ai](http://www.ventura.ai) ",
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        "created_at": "2026-03-15T16:02:21.097Z"
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        "id": 98155,
        "title": "Terranox AI: AI-powered uranium discovery",
        "tagline": "Finding the uranium deposits we need to fuel the next century with nuclear energy.",
        "body": "**TL;DR:** Terranox AI ([terranox.ai](http://terranox.ai)) is the first vertically integrated AI-powered uranium discovery company. We discover economic uranium deposits in North America using AI trained on 70+ years of exploration outcomes. Our mission is to find the fuel we need to power the next century with nuclear energy.\n\n<https://youtu.be/2R8vyyOSH0A>\n\n⚡️ **The Nuclear Renaissance:**\n\nNuclear is experiencing a global resurgence as the only scalable clean baseload power option that can meet humanity's exploding energy needs:\n\n* **AI datacenter electricity demand** will more than double by 2030\n* Microsoft, Google, Amazon, and Meta have collectively **committed billions to nuclear power**\n* 30+ countries pledged to **more than triple global nuclear capacity by 2050**\n* In 2025, the U.S. government signed executive orders to **quadruple nuclear capacity**, with $80B+ in commitments across reactors and fuel supply chains\n\n![uploaded image](/media/?type=post&id=98155&key=user_uploads/898324/f98faf46-f9ae-4a9b-b299-2fbbd1361db4)\n\n⛽️ **The Fuel Crisis:**\n\nBut this nuclear future has one critical dependency: **uranium fuel.**\n\n* Global uranium production needs to **4x by 2050**, but we already have a **supply deficit today** with depleting stockpiles\n* The world’s largest mines will **approach end-of-life** simultaneously starting in the mid 2030s\n* New mines take **10-15 years from discovery to production**\n\n**The West needs new economic discoveries in stable jurisdictions to ensure energy security.**\n\n![uploaded image](/media/?type=post&id=98155&key=user_uploads/854295/8b02b13f-eeba-4933-a331-5a6556f57c7a)\n\n🆘 **The Bottleneck: Exploration is Broken**\n\nExploration still works like in the 1960s: slow, fragmented, guided by intuition and outsourced workflows. **Hit rates are &lt;1%**, driving extremely high costs and decade-long timelines. Meanwhile, 70+ years of exploration data sits trapped in thousands of legacy PDFs and handdrawn maps, unused.\n\n**We're not finding deposits fast enough to power the future.**\n\n⚒️ **What We Are Building:**\n\n**Terranox AI is the first vertically integrated AI-powered uranium discovery company.**\n\nWe find uranium deposits in North America using AI trained on decades of geoscience data and exploration outcomes.\n\n**Our system does three things:**\n\n1. **Multi-modal geoscience intelligence:** Extracts and processes geoscience data from decades of fragmented sources, building a unified exploration context base\n2. **Prospectivity mapping for discovery:** Identifies high-potential areas humans would miss using uranium-specific AI models trained on decades of exploration outcomes\n3. **Sequential decision intelligence:** Determines the optimal next action to maximize information gain per dollar spent, learning from every result in real time\n\n**The result:** A compounding learning flywheel. Every drill hole (hit or miss) makes our predictions better across all projects. The more we explore, the smarter we get.\n\nWe're launching our own exploration projects in North America to ensure the nuclear renaissance has the fuel it needs.\n\n![uploaded image](/media/?type=post&id=98155&key=user_uploads/854295/21570b8b-dce2-4a8b-8340-7409fc467ab0)\n\n👷‍♀️👷‍♂️ **Who We Are:**\n\n**Jade Checlair - CEO & Co-Founder**\n\nPhD Geophysics (UChicago). Developed statistical methods for planetary discovery adopted by NASA flagship missions. 3.5 years at BCG leading nuclear and mining strategy. Ex-NASA Ames.\n\n**Leeav Lipton - CTO & Co-Founder**\n\n8 years building AI/ML systems at Borealis AI. Astrophysics background. Ex-NASA JPL scientist on low-cost remote sensing tech.\n\nWe met in first-year physics and have been friends for 10+ years.\n\n![uploaded image](/media/?type=post&id=98155&key=user_uploads/898324/4ee78148-0515-4578-ad43-c07e2754d020)\n\nContact us at [founders@terranox.ai](mailto:founders@terranox.ai).",
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        "created_at": "2026-02-25T03:33:05.394Z"
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        "id": 97038,
        "title": "Opalite Health: Helping Healthcare Providers Speak Any Language",
        "tagline": "Making medical interpretation instant, reliable, and affordable at scale for hospitals and clinics.",
        "body": "One of the hardest things to scale in healthcare is also one of the most basic: making sure patients and clinicians actually understand each other.\n\n**TL;DR**: [Opalite](https://www.ycombinator.com/companies/opalite-health) helps healthcare providers communicate with patients who don't speak English with an AI medical interpreter that saves 20% time per session and millions annually on interpretation costs.\n\nLaunch Video: <https://youtu.be/_AMvW9Co9do?si=YTKM4wGUgz0-qmrs>\n\n\n**🤯 The Problem**\n\nWhen patients and providers don't speak the same language, critical medical information gets lost - symptoms are misunderstood, diagnoses are wrong, and patients can't follow treatment plans. \n\nOver 30 million people in the US have limited English proficiency, and these communication breakdowns lead to worse outcomes across nearly every measure. Federal law requires healthcare providers to offer interpretation to solve this, but the current solution - a human medical interpreter - doesn't work. \n\nGetting an interpreter takes up to 30 minutes, if one is available at all. When they do connect, interpreters frequently omit or mistranslate important details, especially in fast-moving or complex visits. It also costs hospitals upwards of $1-2M per year. The system is expensive, slow, and unreliable, creating gaps in communication that put patients at risk and increase liability for healthcare organizations.\n\n\n**❤️ The Solution** \n\nOpalite is an AI-powered medical interpreter that helps healthcare professionals communicate with non-English-speaking patients. It’s available instantly, 24/7, so care doesn't have to wait for an interpreter to connect.\n\nOpalite works directly inside clinical workflows, including the EHR, allowing providers to communicate in real time without switching tools or interrupting visits. Translation quality is proven to be superior to certified medical interpreters, but at more than 50% lower cost than traditional services. Opalite also generates visit documentation automatically, reducing the amount of charting providers need to do after each encounter.\n\n\n**📊 Our progress:** \n\nOpalite is currently used daily by patients and providers across 10+ states. Our customers include hospitals, community health centers, home health organizations, telehealth providers, and clinics. We are also set to roll out in a large healthcare enterprise within the next two months. \n\n\n**💡 Our Story**\n\n[@Cathleen Kuo](https://bookface.ycombinator.com/user/1543800) is a physician and the child of immigrants who don't speak English. She has seen the language barrier issues from both sides - watching her parents struggle to communicate with their doctors, and later experiencing firsthand how language barriers compromise the care she can deliver as a physician.\n\n[@Alex Mehregan](https://bookface.ycombinator.com/user/657915) is a former software engineer at Apple where he worked on Apple Intelligence and the updated Siri - software that touches many millions of users every day. He is a 2x founder and Berkeley EECS alumni.\n\n![uploaded image](/media/?type=post&id=97038&key=user_uploads/1543800/8c237420-8e5d-47b5-8721-05769cabb1d9)\n\n\n**🙏 Our Ask:**\n\n* Know healthcare administrators, clinic directors, or hospital C-suites? We’d appreciate an intro.\n* Building a product that serves patients or providers? If language barriers affect your users, let’s chat. \n* Have experience with medical interpreters (as a provider or patient)? Your feedback would be invaluable.\n\n**Reach out at**: [cathleen@opalitehealth.com](mailto:cathleen@opalitehealth.com) & [alex@opalitehealth.com](mailto:alex@opalitehealth.com)\n\n**Visit us**: <https://opalitehealth.com>",
        "url": "https://www.ycombinator.com/launches/PF8-opalite-health-helping-healthcare-providers-speak-any-language",
        "votes": 15,
        "created_at": "2026-01-21T23:29:41.335Z"
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    "id": 31167,
    "name": "Stilta",
    "slug": "stilta",
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        "body": "Hey YC! 👋\n\nWe’re [Matt](https://bookface.ycombinator.com/user/1795983) and [Leo](https://bookface.ycombinator.com/user/3241658) building [Laurence](https://www.trylaurence.com/): automated Amazon pay-per-click (PPC) performance marketing using reinforcement learning and transformer models.\n\n<https://youtu.be/EAiSUSByF6k>\n\n**TL;DR**\n\n* **Most brands lose money** advertising on Amazon after margin\n  * Agencies outsource **simplistic copy-paste playbooks** to offshore workers\n  * Existing software are rudimentary rules engines that break with any bad variance\n* We drive performance using **reinforcement learning** and training our own conversion-rate-aware transformer models\n* Our quant system is automating **$10 million in live ad spend**, increasing advertising profits by 15-20% while growing total revenue.\n\n**Team**\n\nMatt\n\n* built the Data Science Agent at Google\n* tuned the Facebook friend suggestion model at Meta\n* was the third engineer at a health-tech startup\n\nLeo\n\n* made $250k as a high-stakes poker pro at 17\n* founded a crypto investing startup at 18\n* was a researcher at Jump Trading\n\nWe started off building a horizontal data science agent for enterprise, and from our hundreds of conversations with anyone who had a problem with data, we learned how desperately brands on Amazon needed PPC automation that works.\n\n**Ask**\n\nIf you know any CPG brands or SMBs selling on Amazon, we would love an introduction :)\n\n\\- Matt & Leo W26\n\n[matthew@trylaurence.com](mailto:matthew@trylaurence.com)\n\n[trylaurence.com](http://trylaurence.com)\n\n![uploaded image](/media/?type=post&id=97551&key=user_uploads/1795983/bb8c6198-ffe9-4166-8f6c-aa27c1205acb)\n\n",
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        "full_name": "Ahmad Khan",
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        "founder_bio": "Co-Founder, Parameter. \n\nPreviously, I was building robots that learned from each other by sharing skills on-chain, and researching World Models that give robots complete environmental understanding. Our robot became the first in history to ring the NASDAQ bell. I studied Math at University of Waterloo.",
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      {
        "user_id": 507733,
        "full_name": "Huzaifa Ahmad",
        "title": "Founder/CTO",
        "founder_bio": "Cofounder, Parameter. \n\nPreviously, I built software at companies like PlayAI, AWS, and Capital One. On the side, I built consumer apps that reached millions of downloads. But I've always loved breaking things just as much as building them. In college, I reverse engineered every major ATS platform and built Talently, a tool that sent over 200K job applications. Now we build AI that hacks before attackers do.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/hzzaifa",
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        "user_id": 2593631,
        "full_name": "Prama Yudhistira",
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        "founder_bio": "Co-Founder, Parameter.\n\n\nAt Codegen, I built asynchronous coding agents that improved the workflow of developers, and even got non-developers writing production software.\nAt AMD, I built infrastructure for MI300 GPU firmware testing.\nI competed internationally in piano, winning multiple competitions and performing with orchestras like the Qatar Philharmonic Orchestra. \n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/pramayudhistira/",
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    "jobs": [
      {
        "id": 92590,
        "title": "Member of Security Staff",
        "url": "https://www.ycombinator.com/companies/parameter/jobs/aSsK2sx-member-of-security-staff",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
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        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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      },
      {
        "id": 92592,
        "title": "Member of Technical Staff",
        "url": "https://www.ycombinator.com/companies/parameter/jobs/t56j82p-member-of-technical-staff",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
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    "launches": [
      {
        "id": 97640,
        "title": "Parameter: AI that Hacks before Attackers do",
        "tagline": "AI agents that find security vulnerabilities in your apps & infrastructure",
        "body": "We're[ @Huzaifa Ahmad](https://www.linkedin.com/in/ahmadhuzaifa012/),[ @Ahmad Khan](https://www.linkedin.com/in/ahmad-khan-b6584b225/), and[ @Prama Yudhistira](https://www.linkedin.com/in/pramayudhistira/) (Parameter W26). **We built AI agents that automate penetration testing.**\n\n![uploaded image](/media/?type=post&id=97640&key=user_uploads/507733/e0895a51-0f41-4ecb-b7d2-6e10257676ee)\n\n**In the past few weeks, our agents found critical vulnerabilities in dozens of YC companies (ones you’ve heard of):** SQL injection exposing billions of records, demonstrated a PoC worm that could infect entire networks, gained access to hundreds of codebases, and more. Through this, we have prevented an estimated $3B+ in potential damages (based on exposed record counts and IBM's Cost of a Data Breach benchmarks).\n\n[🎥 Watch our launch video](https://youtu.be/kDWcB4GjzeA)\n\n**The problem:** Companies lose $10T+ annually to preventable vulnerabilities, yet most pentest once a year because it's manual, expensive, and slow. By the time you get the PDF, your codebase has changed.\n\nAnd that gap is widening. In September 2025, Anthropic caught Chinese state-sponsored hackers using AI to run 80-90% of an attack autonomously — thousands of requests per second, speeds no human team could match. The attackers have AI now, and defenders need it too.\n\n![uploaded image](/media/?type=post&id=97640&key=user_uploads/2947591/e8003001-ba20-41f7-9c96-11922c602f4b)\n\n**What we built:** AI agents that run continuous penetration tests against your apps and infrastructure. They find vulnerabilities, chain exploits together, and deliver actionable findings with reproduction steps — at a fraction of the cost of traditional pentesting.\n\n![uploaded image](/media/?type=post&id=97640&key=user_uploads/2947591/0f00074f-e1d6-4ef2-bc4e-9466839fab36)\n\nWant to see what we find in your systems? Book a discovery call: [hex.co](http://hex.co)\n\nVisit us at [hex.co](http://hex.co) | [founders@hex.co](mailto:founders@hex.co)",
        "url": "https://www.ycombinator.com/launches/POq-parameter-ai-that-hacks-before-attackers-do",
        "votes": 303,
        "created_at": "2026-02-09T00:33:20.433Z"
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  },
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    "id": 31175,
    "name": "Pax Historia",
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    "website": "https://www.paxhistoria.co",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Pax Historia is an AI powered sandbox game where players create and upload whatever worlds they can imagine for others to play. What if Rome never fell? What if aliens invaded Earth? What if you were a college dropout creating a tech startup? \r\n\r\nThe ability to create, edit, and copy custom maps, actors, historical context, and more means that users can play nearly any scenario they can imagine.\r\n\r\nWe've organically built a passionate fanbase of tens of thousands of daily active players and we're excited to expand on this early start. Consider joining us to help build vastly better tools for creators and experiences for players.",
    "one_liner": "The first AI-powered worldbuilding and gameplay platform",
    "team_size": 6,
    "industry": "Consumer",
    "subindustry": "Consumer -> Gaming",
    "launched_at": 1766621024,
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    "nonprofit": false,
    "batch": "Winter 2026",
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/pax-historia",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/pax-historia.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
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    "primary_partner": {
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      "url": "https://www.ycombinator.com/people/harshita-arora"
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    "founders": [
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        "user_id": 1382898,
        "full_name": "Eli Bullock-Papa",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder of Pax Historia. ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/elibullockpapa",
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        "full_name": "Ryan Zhang",
        "title": "Founder/CTO",
        "founder_bio": "I like history",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ryanz22",
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    "jobs": [
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        "id": 106820,
        "title": "Founding Engineer - LLM Infra & Platform",
        "url": "https://www.ycombinator.com/companies/pax-historia/jobs/j2J4ZOt-founding-engineer-llm-infra-platform",
        "location": "San Francisco",
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        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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      },
      {
        "id": 106821,
        "title": "Founding Engineer - Harness Optimization",
        "url": "https://www.ycombinator.com/companies/pax-historia/jobs/yE3zKmX-founding-engineer-harness-optimization",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
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      {
        "id": 97520,
        "title": "Pax Historia - User & AI powered gaming platform",
        "tagline": "🗺️ The first alternate-history sandbox game powered by AI",
        "body": "Hey! This is **Eli** and **Ryan**, cofounders at **Pax Historia** ([paxhistoria.co](http://paxhistoria.co)). \n\n![uploaded image](/media/?type=post&id=97520&key=user_uploads/1382898/f7de4ff4-c0d2-4a10-9785-d2ca30e30949)\n\nPax Historia is a map-based gaming platform which combines the creative freedom of sandbox games with the depth of grand strategy. Players imagine scenarios (like ‘What if the USSR hadn’t broken apart?’ or ‘What if a zombie outbreak started in 2019?’ or ‘What if the USA took over Greenland?’) and create maps and presets which are then published to the community and become playable by anyone.\n\nAlready, we have **35k daily users**. Over the last week, in total, we’ve processed **100+ billion tokens**. Our **passionate community has published over 4k presets** with 50+ plays each.  \n\n![uploaded image](/media/?type=post&id=97520&key=user_uploads/1382898/099acb66-577a-4be7-973c-109c16087c69)\n\nCreators create, edit, and publish custom maps and worlds. Users then play as a country or group in the world. They can make actions, start diplomatic chats, and jump forward in time. As the game progresses, the map shows any changes from player actions. \n\n![uploaded image](/media/?type=post&id=97520&key=user_uploads/1382898/062a68cf-5178-40bf-888d-e31b681431c2)\n\nBy using AI to power the responses of other countries/actors to in-game actions, **we are able to move beyond constraining, pre-designed narrative paths**. Players are truly able to do whatever they can imagine. \n\nCheck out our [Pax Historia Launch Video](https://youtu.be/-RXSxMVLcL4) for a closer look.\n\n**Our asks**: \n\n1. **Feedback:** We would _love_ to hear your feedback (especially if you’re a grand strategy, history, or gaming nerd!). You can make an account [here](http://paxhistoria.co).\n2. **Talent:** We are hiring! If you know of any talented engineers (Unity, web dev, AI/ML) who might be interested in a super high-impact, fast moving, small team, then please connect us. They can apply through our [Ashby](https://jobs.ashbyhq.com/pax-historia), but please also shoot us an email ([careers@paxhistoria.co](mailto:careers@paxhistoria.co)) so we can find their profile.\n3. **Connection & Community:** Finally, if you’re running platforms/marketplaces, who are using AI to power features within their service (not just to write code!), or just excited by building and maintaining online communities, then we would love to chat.",
        "url": "https://www.ycombinator.com/launches/PMu-pax-historia-user-ai-powered-gaming-platform",
        "votes": 54,
        "created_at": "2026-02-04T23:25:26.863Z"
      }
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  },
  {
    "id": 31178,
    "name": "Cardboard",
    "slug": "cardboard",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/385d871905e0fe30881f8b844b47edcc1f3c894b.png",
    "website": "https://cardboard.ai",
    "all_locations": "Bengaluru, KA, India",
    "long_description": "Cardboard is an agentic video editor for growth/marketing teams and serious creators who need to ship videos consistently. Instead of agencies, long timelines, and infinite review cycles, teams give cardboard a footage + a goal (“3 variants”, “30s hook”, “testimonials”) to get a strong first cut in minutes on which they can iterate quickly.\r\n\r\nMultimodal LLMs can finally reason over footage, and WebGPU/WebCodecs make a real NLE possible in the browser. For the first time, an “AI director” inside a professional editor can be a reality.\r\n\r\nWe have to build two hard things at once: a high-performance editor in the browser and an agentic editor that is reliable for production use cases. Most startups do one; incumbents can’t rebuild their stack without breaking everything.\r\n\r\nSaksham and Ishan met in school and have known each other since 15 years. Saksham was Co-founder/CTO of Iterate AI (backed by EF) and posts content on social media; Ishan has spent ~5yr building memory-heavy, performance-critical browser apps at HackerRank (S11) and deeply understands browsers. He has built Hotspoter (5M+ downloads) when he was 14.\r\n\r\nTogether, we’re unusually suited to build the editor core others avoid.\r\n\r\nVideo is becoming the default distribution channel, and the team that iterates fastest compounds attention. Cardboard becomes the default workspace for video production, the way Canva/Figma became the workspace for design - because it’s collaborative, fast, and does the tedious parts for you.",
    "one_liner": "Agentic video editor",
    "team_size": 8,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1768162565,
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2026",
    "status": "Active",
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    "regions": [
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      "South Asia"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/cardboard",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/cardboard.json",
    "year_founded": 2025,
    "city": "Bengaluru",
    "country": "IN",
    "linkedin_url": "https://www.linkedin.com/company/cardboardinc",
    "x_url": "https://x.com/usecardboard",
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/385d871905e0fe30881f8b844b47edcc1f3c894b.png",
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      "url": "https://www.ycombinator.com/people/ankit-gupta"
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    "founders": [
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        "user_id": 1737031,
        "full_name": "Saksham Aggarwal",
        "title": "Founder/CEO",
        "founder_bio": "Saksham Aggarwal is the founder of Cardboard (W26). He studied CS at BITS Pilani and previously built AI products at Iterate AI (EF-backed startup). \n\nHe has published at ACL and has spoken internationally on AI evaluations. He was the first engineer at PYOR (backed by Coinbase and Castle Island) and worked in growth at Sequoia-backed Flint.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/sakshamagg27",
        "x_url": "https://x.com/sxmawl",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b925af1a1f65f6f3c024f4090e3f23dbcb1775d2.jpg"
      },
      {
        "user_id": 694377,
        "full_name": "Ishan Sharma",
        "title": "Founder/CTO",
        "founder_bio": "Ishan Sharma is the founder of Cardboard (W26). He is a full-stack engineer with deep experience in high-performance web systems, creative tooling, and applied AI.\n\nPreviously, he spent ~4.5 years at HackerRank (S11), where he led multiple 0→1 products used by millions.\n\nHe started programming in 6th grade and built a Windows app in school that crossed 5.7M+ downloads and was featured on CNET and Softonic",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ishandeveloper",
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    "jobs": [
      {
        "id": 106736,
        "title": "Backend Engineer",
        "url": "https://www.ycombinator.com/companies/cardboard/jobs/O0iuUEB-backend-engineer",
        "location": "Bengaluru",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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      {
        "id": 106737,
        "title": "Senior Applied ML Engineer, Evals & Data",
        "url": "https://www.ycombinator.com/companies/cardboard/jobs/pw5Pk5E-senior-applied-ml-engineer-evals-data",
        "location": "Bengaluru",
        "type": "Full-time",
        "role": "Engineering",
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        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
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      {
        "id": 107330,
        "title": "Founding Designer",
        "url": "https://www.ycombinator.com/companies/cardboard/jobs/pZUQWeq-founding-designer",
        "location": "Bengaluru / San Francisco",
        "type": "Full-time",
        "role": "Design",
        "role_type": "Web design",
        "salary_range": "₹3M - ₹6M INR",
        "equity_range": "0.10% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 107331,
        "title": "Founding Design Engineer",
        "url": "https://www.ycombinator.com/companies/cardboard/jobs/CPnEG9f-founding-design-engineer",
        "location": "Bengaluru / San Francisco",
        "type": "Full-time",
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        "experience": "Any (new grads ok)",
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      {
        "id": 107332,
        "title": "Fullstack Engineer",
        "url": "https://www.ycombinator.com/companies/cardboard/jobs/QHP87El-fullstack-engineer",
        "location": "Bengaluru",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
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      {
        "id": 97467,
        "title": "Cardboard - Agentic Video Editor",
        "tagline": "Edit videos at the speed of thought!",
        "body": "**TL;DR**\n\nCardboard is an agentic video editor. It gives you the power of Premiere Pro or DaVinci Resolve without the learning curve. It is orders of magnitude faster + cheaper than the old way of making videos.\n\nIt lives in your browser and helps you go from a sea of **raw footage** (talking heads, screen recordings, screenshots, B-rolls) to a great video in seconds.\n\nThink of it as “**vibe editing**”\n\n<https://youtu.be/xLBxatFM7uk>\n\n**The Problem**\n\n**Video has become the default distribution channel for growth, marketing, and brand storytelling. The teams who iterate fastest on video, compound attention over time.**\n\nMany of us sit on mountains of raw assets - product walkthroughs, customer feedback, tweets, blogs, changelogs, emails, and newsletters - that should turn into **testimonials, launch videos, recaps, and ad experiments.**\n\nBut, editing is **painfully slow**. Getting to a first cut still means hours of manual work, expensive tools, and async feedback loops. This is where the momentum dies.\n\nAs a result, most teams ship far fewer videos than they should - not because they lack ideas or footage, but because the editing process can’t keep up.\n\n**The Solution**\n\n**We are building Cardboard - it is an agentic video editor that lives in your browser.**\n\nYou can:\n\n1. Ask for a first cut (“make a 60s recap” / “cut this into ads”)\n2. Search footage by meaning, not filenames\n3. Then refine it yourself on a timeline\n\nThe goal is to make video production feel closer to modern design / coding tools - fast, accessible, and collaborative - so the teams can iterate fast and ship more.\n\n**Why us?**\n\nWe met in middle school and have been best friends since the last 15yrs. We built Cardboard because we lived with this problem ourselves:\n\n* I create content on [Instagram](http://instagram.com/saksham.awl) and [LinkedIn](http://linkedin.com/in/sakshamagg27), with \\~250k views/month on an average.\n* Ishan (CTO) has been producing Apple-style internal launch videos for HackerRank’s all-hands demo days (350+ attendees) \\[Example: [Video 1](http://share.ishandeveloper.com/video-1), [Video 2](http://share.ishandeveloper.com/video-2)\\]\n\nBoth of us hit the same wall: tools like Premiere Pro or DaVinci are powerful, but the learning curve is steep and getting to a first cut takes hours. Creativity starts to feel like manual work.\n\nCardboard exists to remove those painful steps - so that people can focus on what they’re actually good at: **telling great stories.**\n\n**Ask**\n\nIf you’re leading or working in a **growth / marketing team** that uses video as a distribution channel (launches, ads, recaps, testimonials, or weekly content) and you care about **speed**, we’d love to work closely with you.\n\n\\\nStart using [Cardboard](https://usecardboard.com/)!\n\n\\- [@Saksham Aggarwal](https://bookface.ycombinator.com/user/1737031) and [@Ishan Sharma](https://bookface.ycombinator.com/user/694377) (Cardboard, W26)",
        "url": "https://www.ycombinator.com/launches/PM3-cardboard-agentic-video-editor",
        "votes": 43,
        "created_at": "2026-02-03T20:33:54.663Z"
      }
    ]
  },
  {
    "id": 31179,
    "name": "Jinba",
    "slug": "jinba",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/98895085a5f266d769869118dd2031844509bfec.png",
    "website": "https://jinba.io",
    "all_locations": "",
    "long_description": "Jinba lets enterprise teams vibe-code AI workflows instead of drag and drop. Describe what you need in plain language, and your whole company can start using it immediately. No engineers required. Enterprise-grade permissions, audit logging, and on-prem deployment built in. We serve 40,000 enterprise users at major financial institutions.\r\n\r\nBuild something your colleagues want.",
    "one_liner": "Automate enterprise workflows through chat",
    "team_size": 11,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1768673344,
    "tags": [],
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        "user_id": 1305643,
        "full_name": "Shoya Matsumori",
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        "founder_bio": "🇯🇵 Ph.D. in CS / Co-Founder & CEO @ Jinba",
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        "linkedin_url": "https://linkedin.com/in/smatsumori",
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        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/jinba/jobs/UnPJsEv-founding-engineer",
        "location": "San Francisco / US",
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        "role_type": "Full stack",
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        "experience": "3+ years",
        "visa": "Will sponsor",
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        "id": 91074,
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        "url": "https://www.ycombinator.com/companies/jinba/jobs/hKJ7YiB-founding-design-engineer",
        "location": "San Francisco / US / CA",
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        "role": "Design",
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        "id": 98042,
        "title": "Jinba - Workflow Builder for Enterprise AI Automation",
        "tagline": "Used by over 40,000 enterprise users at Fortune Global 500 companies",
        "body": "### **TL;DR**\n\nJinba lets enterprises build AI workflows just by chatting. Unlike traditional no-code tools, you don't need to struggle with a seemingly friendly drag-and-drop interface. Think Lovable meets n8n, but built for the enterprise. We now serve 40,000 users across Fortune Global 500 companies in banking, insurance, and other highly regulated industries.\n\n### <https://www.youtube.com/watch?v=RBi9OtRGDpk>\n\n**Why this matters**\n\nEnterprises want AI automation but can't make it happen. They spend months building workflows that never make it to production. Internal engineering resources are stretched thin, consultants are expensive, and when something finally gets built, it stalls at deployment because it can't meet security, compliance, or scalability requirements.\n\nJinba fixes this. Business users go from idea to production-ready AI workflows just by chatting, with enterprise-grade security and compliance built in from day one.\n\n### \n\n**How it works**\n\n**1. Build AI workflows just by chatting with Jinba Flow.** No engineers needed.\n\n![uploaded image](/media/?type=post&id=98042&key=user_uploads/1305643/185f2855-73b6-4fc5-9bbe-96255d1b2870)\n\nDeploy as MCPs with one click.\n\n![uploaded image](/media/?type=post&id=98042&key=user_uploads/1305643/5be8c689-741a-4746-8aed-9a2eaaba4792)\n\n**2. Your colleagues can use it in Jinba App.**\n\n![uploaded image](/media/?type=post&id=98042&key=user_uploads/1305643/1c2145df-4799-400f-b5d2-097a3113777c)\n\nEnterprise-ready from day one. Your IT and security teams won't have to worry about scaling, access control, or audit trails. On-prem deployment is available too.\n\n### **Our ask**\n\nIf any of these sound familiar, let's talk:\n\n1. Large enterprises with manual workflows\n2. Companies wanting AI automation without hiring engineers\n3. Organizations with strict security/compliance requirements\n4. Teams that tried no-code tools but hit scaling limits\n\n**Contact us at: [https://jinba.io/contact-sales](https://jinba.io/contact-sales)**\n\n**Sign up at: [https://jinba.io](https://jinba.io)**\n\n### \n\n**Founders**\n\n**Shoya Matsumori** (Co-founder and CEO) Ph.D. in machine learning.\n\n**Takuya Norisugi** (Co-founder and COO) prev McKinsey manager.",
        "url": "https://www.ycombinator.com/launches/PVK-jinba-workflow-builder-for-enterprise-ai-automation",
        "votes": 22,
        "created_at": "2026-02-23T23:17:00.975Z"
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    "id": 31180,
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    "long_description": "We engineer inexpensive, autonomous strike drones designed to operate in the most contested combat environments on Earth!\r\n\r\nBy combining true hardware modularity with an agentic control system that lowers cognitive load on operators, we enable faster upgrades, broader adoption, and more than 2x reduction in lifecycle cost.\r\n\r\nOur customers and partners include the UK Royal Marine Commandos, several other units in the UK, and 4 other NATO forces, and we are currently shipping prototypes for iterative feedback.\r\n\r\nThink of us as Anduril, but with worse weather, and better banter.",
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        "full_name": "Alexander Le Maitre",
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        "full_name": "Matthew Le Maitre",
        "title": "Founder/CTO",
        "founder_bio": "Ex-Jane Street SWE, Top-Ranked CS Grad @ Cambridge, now building Defence Tech.\n\nPhysicist → Researcher → Consultant → Software Engineer → Founder 🚀\n\nTrying never to lose my inner child, whilst building things that really matter.",
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        "title": "Senior Hardware Engineer",
        "url": "https://www.ycombinator.com/companies/seeing-systems/jobs/sAnZW1T-senior-hardware-engineer",
        "location": "London, England, GB",
        "type": "Full-time",
        "role": "Engineering",
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        "salary_range": "£60K - £90K GBP",
        "equity_range": "0.25% - 1.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
        "skills": [
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      {
        "id": 94262,
        "title": "Electrical Engineering Intern",
        "url": "https://www.ycombinator.com/companies/seeing-systems/jobs/QbVAgqi-electrical-engineering-intern",
        "location": "London, England, GB",
        "type": "Internship",
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        "id": 94623,
        "title": "Software Engineering Intern",
        "url": "https://www.ycombinator.com/companies/seeing-systems/jobs/pBZFivv-software-engineering-intern",
        "location": "London, England, GB / Christchurch, England, GB",
        "type": "Internship",
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        "role_type": "Full stack",
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        "id": 98786,
        "title": "Mechanical Hardware Engineer",
        "url": "https://www.ycombinator.com/companies/seeing-systems/jobs/zlM5hzH-mechanical-hardware-engineer",
        "location": "London, England, GB",
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        "salary_range": "£30K - £45K GBP",
        "equity_range": "0.10% - 0.25%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
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        "title": "Electrical Hardware Engineer",
        "url": "https://www.ycombinator.com/companies/seeing-systems/jobs/p0iWpIm-electrical-hardware-engineer",
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        "title": "Welcoming General Wesley Clark and General Sir Richard Shirreff to Our Advisory Board - Seeing Systems",
        "url": "https://www.seeing-systems.com/two-of-natos-most-senior-commanders-join-our-advisory-board/",
        "date": "Jun 27, 2026"
      },
      {
        "title": "Як Seeing Systems з Y Combinator тестує автономні дрони в Україні ",
        "url": "https://ain.ua/2026/05/25/seeing-systems-ukraine/",
        "date": "May 25, 2026"
      },
      {
        "title": "The Top 8 Robotics and Drone Startups in YC W26 - The Silicon Valley Post",
        "url": "https://svpost.com/articles/top-robotics-drone-startups-yc-w26/",
        "date": "Mar 18, 2026"
      },
      {
        "title": "Alexander Le Maitre on Attritable Systems and Agentic Warfare | AIPressRoom",
        "url": "https://aipressroom.com/alexander-le-maitre-seeing-systems/",
        "date": "Feb 23, 2026"
      },
      {
        "title": "‘Their acceptance rate is less than 1% – it’s harder than Harvard’",
        "url": "https://guernseypress.com/news/2026/02/11/their-acceptance-rate-is-less-than-1percent-its-harder-than-harvard",
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      {
        "id": 97412,
        "title": "Seeing Systems: Modular Autonomous Drones for Modern Warfare",
        "tagline": "We build modular, autonomous strike drones that adapt as warfare evolves.",
        "body": "# **Hey everyone**\n\nWe’re Alex & Matthew - The brothers building **Seeing Systems**.\n\n---\n\n## **TL;DR**\n\nWe're building **inexpensive, autonomous strike drones** designed to stay operationally relevant as warfare evolves. By combining true hardware modularity with an agentic control system that lowers cognitive load on operators, we enable faster upgrades, broader adoption, and more than 2x reduction in lifecycle cost.\n\nOur customers and partners include the UK Royal Marine Commandos, several other units in the UK, and 4 other NATO forces, and we are currently shipping prototypes to Ukraine for iterative feedback.\n\n<https://youtu.be/Ia_A1T-l7d8>\n\n## **Problem**\n\nMilitary forces face two linked challenges:\n\n1. **Platform Obsolescence:** Fixed drones require replacement or major rebuilds whenever missions or threats evolve, driving high costs and slowing operational adaptation.\n2. **The One Pilot Problem:** One person can only control one drone at once, requiring full attention.\n\nCountless stories can be found of western drone systems becoming obsolete, needing to be shelved and eventually replaced.\n\nA Few Examples:\n\n* <https://newsukraine.rbc.ua/news/ukraine-s-military-rejects-german-helsing-1768811354.html>\n* <https://militarnyi.com/en/news/ssu-abandons-altius-attack-drones-after-failures-at-front/>\n\n![uploaded image](/media/?type=post&id=97412&key=user_uploads/2822007/9dfb1275-b59e-4c17-9862-3a9d8a11534d)\n\n# **Solution**\n\nWe build autonomous, modular drones that solve both problems at once:\n\n* **Modular hardware:** Swappable payloads, sensors, compute, and comms let one platform support strike, ISR, or swarm missions. Upgradable and effective year after year.\n* **Agentic autonomy:** Automates tasks like navigation and coordination, so operators with no prior training can use systems to their full effectiveness.\n\nHow do we know? Well, Forward Deployed Engineers. Giving each unit we work with a point of contact, we take feedback and integrate them into our system in a matter of hours. A close collaboration with the UK Royal Marines Commandos is actually what led to the development of this system.\n\n![uploaded image](/media/?type=post&id=97412&key=user_uploads/2822007/7170ca7a-bd1d-4d2b-a6a7-f77ce762975e)\n\n## **The Team**\n\n**Matthew Le Maitre - Co-Founder, Software**\n\nFormer Jane Street Software Engineer and top-ranked CS graduate from the University of Cambridge. Matthew’s path started at the Mobile Robotics Lab at Cambridge, where he worked on autonomous systems and context-aware drones. He now leads the software side of Seeing Systems.\n\n**Alex Le Maitre - Co-Founder, Hardware**\n\nAlex has been obsessed with unmanned systems since childhood and is largely self-taught in embedded electronics, firmware, and PCB design. He has previously designed Explosive Ordinance Disposal (EOD) training and diagnostic hardware for military users, alongside projects with national-security implications. Originally from the island of Guernsey, Alex now leads hardware development with a focus on building robust systems that help keep our people safe.\n\n![uploaded image](/media/?type=post&id=97412&key=user_uploads/2822007/dfc9b55c-c1b7-4ac3-a6bb-8e7760b2d006)\n\nIf you’re a military contractor, defense organisation or special forces unit looking for a real operational edge, contact us at [founders@seeing-systems.com](mailto:founders@seeing-systems.com) &[ www.seeing-systems.com](http://www.seeing-systems.com)",
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        "votes": 30,
        "created_at": "2026-02-02T21:03:43.432Z"
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    "year_founded": 2024,
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        "full_name": "Bryce Neil",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder & CEO at Visibl Semiconductors. Passionate technologist and recipient of two of Canada’s most competitive academic scholarships. Bryce is a computer engineer with experience across engineering, data, and business. He has built production software and data systems for Deloitte’s OmniaAI team, healthcare, and the public sector. His work has run in leading U.S. hospitals and supported teams globally.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/bryceneil/",
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        "user_id": 2574530,
        "full_name": "Jordon Kashanchi",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder & CTO of Visibl Semiconductors. Jordon previously worked at Microsoft, Arm, and Intel, building expertise in AI accelerators, autonomous vehicle hardware, and graphics. Most recently at Microsoft, he designed digital logic and microarchitecture for next-gen custom AI silicon. He holds an MS in ECE from UT Austin and is published in PNAS and ACM.",
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        "title": "Senior Digital IC Engineer — RTL Design & Verification",
        "url": "https://www.ycombinator.com/companies/visibl-semiconductors/jobs/o2iGDo7-senior-digital-ic-engineer-rtl-design-verification",
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        "role": "Engineering",
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        "id": 97968,
        "title": "Visibl Semiconductors: The First AI-Enabled Coordination Layer for Chip Design",
        "tagline": "Meet Visibl, The First AI-enabled Coordination Layer for Chip Design",
        "body": "Hey everyone 👋\\\nWe’re Bryce and Jordon, co-founders of VISIBL SEMICONDUCTORS™\\\n\\\n**Launch video:** <https://youtu.be/l_0BcKIIU3Q>\n\n---\n\n**TL;DR**\\\n_Visibl is the first coordination layer for chip design._ Requirements, architectural intent, and implementation drift out of sync as designs and teams scale. Visibl surfaces drift early, opens cases with evidence, and delivers review-ready fixes enabling improved schedule, cost, and risk outcomes in chip design.\n\nCheck out LinkedIn post here:\\\n<https://www.linkedin.com/posts/y-combinator_visibl-semiconductors-yc-w26-is-building-activity-7430280268252590081-UBoI/>\n\n**Problem**\\\nCoordination has always been a human job: monitoring drift, triaging failures, keeping the schedule aligned. It demands constant vigilance, reacting to failures, proactively scanning for issues, always watching.\n\nAs designs scale, no one can hold all that context: the specs, the implementation, the test results, the decisions scattered across Slack, Jira, and docs. Issues slip through. Drift compounds. We saw this firsthand. There was no software to solve it. So we're building it.\n\nOur experience spans chip design and high-stakes production systems. We're solving a problem there was never enough human bandwidth to address, but one that directly impacts the most important outcomes in chip design: schedule, cost, and risk.\n\n**What Visibl Does**\\\n\\\n**Monitors** - specs, implementation, CI, and all design collateral to detect drift early\n\n**Investigates** - creates cases with evidence: spec sections, RTL refs, CI logs, historical decisions\n\n**Proposes** - agents suggest fixes, run verification, package review-ready diffs\n\n**Gates** - human approval required, nothing ships without explicit sign-off\n\n### —\n\n\\\n**Results**\\\n\\\n**Schedule** - Eliminate weeks lost waiting for the one engineer with context to debug failures\n\n**Cost** - 10x less engineering overhead on triage; your team builds instead of firefighting\n\n**Risk** - Catch issues early to minimize rework; avoid late-stage surprises that lead to $10M+ respins\\\n\\\n\\\n\\\n\\\n**Instant Dispatch & Case Creation**\n\n![uploaded image](/media/?type=post&id=97968&key=user_uploads/931842/d732540d-c0f2-416d-9402-378b41735ffe)\n\nAgents spin up immediately on regressions, failing PR checks, spec updates, and more. Visibl opens a case automatically.\n\n---\n\n# \n\n—\n\n\\\n**Evidence Bundle**\n\n![uploaded image](/media/?type=post&id=97968&key=user_uploads/931842/e869a320-410e-4c42-9126-535bd4c9b4be)\n\n\\\nEach case comes preloaded with spec sections, RTL refs, CI logs, and decision history.\n\n# \n\n—\n\n\\\n**Recommended Fix**\n\n![uploaded image](/media/?type=post&id=97968&key=user_uploads/931842/d5e63a58-2b58-4e78-8278-652a0808b651)\n\nVisibl proposes three fix paths and recommends the best one for approval. User can also clarify and specify their own intent.\n\n# \n\n—\n\n\\\n**Verified Review-Ready Diff**\n\n![uploaded image](/media/?type=post&id=97968&key=user_uploads/931842/45650b40-9fc2-477a-8ffa-8c29cf6bac09)\n\nApproved changes are applied, verified, and packaged as a review-ready diff with results.\\\n\\\n\\\n\\\n**Role-Based, Team-Based, and Individual Views**\n\n![uploaded image](/media/?type=post&id=97968&key=user_uploads/931842/2c568efd-b5a0-42db-be95-97f9cbfde4d8)\n\nRole-specific views surface the same underlying truth at the right level of detail. For example, the executive view shows how Visibl ambiently ingests signals across the org and distills them into what leaders care about most—readiness, schedule impact, and top tapeout risks—so they can take action quickly. **Visibl also lets executives (and every role) act directly on these insights, drill into the underlying evidence, assign owners, and drive cases to resolution.**\n\n\\\n**Our Ask**\\\n\\\n**If you have a friend who designs chips at a semiconductor or hardware company, we would really appreciate an intro.** Even a quick forward of this post helps.\\\n\\\nIf you are a:\n\n* _DV / CI owner_\n* _Design methodology / flow owner_\n* _Team heading into integration, freeze, or pre-tapeout_\n\n…we’d love to talk.\n\n**Schedule a demo:** [**founders@visiblsemi.com**](mailto:founders@visiblsemi.com)\n\n---",
        "url": "https://www.ycombinator.com/launches/PU8-visibl-semiconductors-the-first-ai-enabled-coordination-layer-for-chip-design",
        "votes": 13,
        "created_at": "2026-02-19T15:43:41.410Z"
      }
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  },
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    "id": 31187,
    "name": "Fenrock AI",
    "slug": "fenrock-ai",
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      "Fenrock.AI",
      "Fenrock AI",
      "Fenrock AI (YC W26)"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/49628c649d0cbcd7910ecb380ad944b7613d8242.png",
    "website": "https://fenrock.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We're building the Legora for traditional financial services, working closely with US bank CEOs to transform their businesses.",
    "one_liner": "AI agents for banks",
    "team_size": 2,
    "industry": "Fintech",
    "subindustry": "Fintech -> Banking and Exchange",
    "launched_at": 1769406704,
    "tags": [
      "Fintech",
      "AI"
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    "tags_highlighted": [],
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    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2026",
    "status": "Active",
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      "America / Canada"
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    "stage": "Early",
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    "demo_day_video_public": false,
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    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/fenrock-ai",
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        "full_name": "Charu Sharma",
        "title": "Founder/CEO",
        "founder_bio": "We're building specialized AI agents for banks to 10x back office functions.\n\nI previously founded and scaled 2 VC-backed companies to millions of users, hundreds of employees, and tens of millions raised from top-tier VCs, including General Catalyst's Hemant Taneja.\n\nFun fact: Fought goons in a train robbery in Mumbai and got the National Bravery Award from the Indian Prime Minister & President.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/charusharma1/",
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        "user_id": 1974434,
        "full_name": "Michael M",
        "title": "Founder/CTO",
        "founder_bio": "We're building specialized AI agents for banks to 10x back office functions.\n\nI previously spent 10 years building cutting-edge ML at Google and Apple for billions of users. I invented ways to train ML models without exposing private data, built Apple's first privacy-preserving ML at scale, and designed ML that helped a startup go public.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/fiveseventyeleven/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5ef7777ef756d822aa9721993e9be6f81978215c.jpg"
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    "jobs": [
      {
        "id": 98553,
        "title": "Founding Engineer (Backend)",
        "url": "https://www.ycombinator.com/companies/fenrock-ai/jobs/HjrhODi-founding-engineer-backend",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$150K - $250K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": []
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      {
        "id": 98554,
        "title": "Founding Engineer (Full stack)",
        "url": "https://www.ycombinator.com/companies/fenrock-ai/jobs/cjkr5RF-founding-engineer-full-stack",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $250K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
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    "launches": [
      {
        "id": 98614,
        "title": "Fenrock AI - back office AI agents for banks",
        "tagline": "Process loans in minutes. Investigate 10x fraud alerts. Resolve customer complaints in seconds.",
        "body": "Fenrock AI is building AI agents for banks to 10x their back office functions.\n\nThese teams still run on a series of disjointed legacy systems. They are drowning in extremely manual work and backlogs, missing deadlines, and risking regulatory fines. \n\nFenrock overlays on your existing stack and seamlessly integrates internal policies and SOPs.\n\n**With Fenrock AI, banks can:**\n\n💰 Make a lot more money by **processing loans in minutes**, not months.  \n\n🤩  Offer stellar customer experiences by **resolving complaints in seconds**.  \n\n💪 Investigate **10x fraud and money-laundering cases** per analyst with bulletproof audit logs, and pass every regulatory exam. \n\n[\\[Launch video\\]](https://youtu.be/49Aycd2urmM)\n\nNo need to switch systems or migrate data.\n\n![uploaded image](/media/?type=post&id=98614&key=user_uploads/1914554/5c1c98aa-58d8-41f6-a20a-7fa144ae076b)\n\nWe have **deep experience building in highly regulated spaces**, and we were one of the **first teams to ever build AI agents**. \n\n[Charu](https://www.linkedin.com/in/charusharma1/) founded one of the largest healthcare API companies, backed by General Catalyst, and scaled it to over 6 million patients and 100+ employees.\n\n[Michael](https://www.linkedin.com/in/fiveseventyeleven/) built Apple’s first privacy-preserving machine learning at scale, used by billions worldwide, and invented techniques to train ML models without private data. \n\nIf you’re running a bank, Fenrock AI is a no-brainer. Email us at [charu@fenrock.ai](mailto:charu@fenrock.ai) today! ",
        "url": "https://www.ycombinator.com/launches/PeY-fenrock-ai-back-office-ai-agents-for-banks",
        "votes": 49,
        "created_at": "2026-03-09T15:50:42.372Z"
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    "id": 31188,
    "name": "Maywood",
    "slug": "maywood",
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    "website": "https://maywoodai.com/",
    "all_locations": "New York City, NY, USA",
    "long_description": "Maywood is the first finance-compliant proactive AI that runs 24/7, working across your network, pipeline, and active processes, running constantly in the background and surfacing things you'd otherwise miss. It tracks relationships and sector context to flag when a target is gearing up for a process (and drafts the outreach in your voice), watches network activity across LinkedIn, news, and conference follow-ups, and surfaces where active processes stand, including what's at risk since you last looked.\r\n\r\nIt also auto-updates CRMs and trackers and creates meeting briefs that includes relationship history, recent activity, deal context, external research, talking points that can pull from internal and external data sources. Dealmakers interact with it over email, Teams, or the platform itself. ",
    "one_liner": "The first finance-compliant proactive AI that runs 24/7",
    "team_size": 5,
    "industry": "Fintech",
    "subindustry": "Fintech -> Banking and Exchange",
    "launched_at": 1770247865,
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    "isHiring": true,
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    "batch": "Winter 2026",
    "status": "Active",
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      "Banking and Exchange"
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      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
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    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/maywood",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/maywood.json",
    "year_founded": null,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/maywood/",
    "x_url": "https://x.com/maywoodai?s=21&t=VSCMuGGZdlswu2O-sROs-Q",
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    "primary_partner": {
      "name": "Jon Xu",
      "url": "https://www.ycombinator.com/people/jon-xu"
    },
    "founders": [
      {
        "user_id": 1812971,
        "full_name": "Drake Goodman",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder and CEO of Maywood. Ex-Blackstone. Huntsman Program @ Penn. 2x Founder",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/drake-goodman/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/47e0d9bdc3c41593a2a3879f786462880d2482fc.jpg"
      },
      {
        "user_id": 2969341,
        "full_name": "Kent Goodman",
        "title": "Founder/COO",
        "founder_bio": "Co-Founder of Maywood. Ex-BCG. EECS & Sloan @ MIT\n2x founder",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/kent-goodman",
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      {
        "user_id": 3208619,
        "full_name": "Esteban Vizcaino",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder and CTO of Maywood. EECS @ MIT",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/esteban-vizcaino-9920a5210/",
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    ],
    "jobs": [
      {
        "id": 89718,
        "title": "AI Researcher ",
        "url": "https://www.ycombinator.com/companies/maywood/jobs/1u2jRjy-ai-researcher",
        "location": "New York, NY, US / San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$150K - $250K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
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      },
      {
        "id": 89720,
        "title": "Applied AI Engineer ",
        "url": "https://www.ycombinator.com/companies/maywood/jobs/DV7GBKh-applied-ai-engineer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
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        "experience": "Any (new grads ok)",
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      {
        "id": 97535,
        "title": "Maywood - AI for M&A",
        "tagline": "The platform to run your entire deal",
        "body": "Hi Everyone! \n\nWe’re **Drake, Kent, and Esteban**, co-founders of [**Maywood**](https://maywoodai.com/). \n\n# **TL;DR** \n\n**Maywood automates deal execution for investment banks, from decks to diligence.**\n\nBanks do not lose deals because of bad judgment. They lose time to repetitive work, fragmented information, and processes that do not scale with deal volume. \n\nMaywood removes execution bottlenecks so that deal teams can focus on judgment rather than mechanics. \n\n \n\n[**https://youtu.be/OCgXCora2OQ**](https://youtu.be/OCgXCora2OQ) \n\n# **The M&A Process Doesn’t Scale** \n\nThere was $5 trillion of M&A in 2025, yet M&A workflow spans dozens of fragmented systems. Deal teams spend an extraordinary amount of time reconciling updates across platforms, copying figures from client materials, and reviewing large decks line by line to ensure accuracy and consistency. As teams increase transaction volume, they are forced to trade off speed with quality. The more deals a team runs, the harder it becomes to maintain a consistently high standard of execution. \n\nExecution, in practice, does not scale cleanly. We see this across middle-market and large investment banks. Teams rely on increasingly manual oversight to keep processes on track, with senior bankers spending time reviewing mechanics rather than focusing on judgment, positioning, and client advice. \n\nWe believe the best deal teams should win based on the insight and guidance they deliver to clients, not on their ability to manage PowerPoint and internal coordination at scale. \n\n \n\n# **Maywood Expedites Execution and Elevates Quality** \n\n![uploaded image](/media/?type=post&id=97535&key=user_uploads/2969341/7e11d106-ad35-4d3f-b52a-8969cdadf936)\n\nMaywood is building an AI execution layer for investment banking. Our goal extends much further than producing decks at the push of a button and instead centers around unlocking deal teams to focus on their relationships with clients and maximizing outcomes. \n\n### **1. We do the Foundational Analysis** \n\nMaywood provides a thorough research process covering the company, industry, deal dynamics, and more. Instead of analysts and associates spending days pulling comparables, industry context, and buyer rationales or managing directors (MDs) prepping endlessly for their next call with the management team, our system handles the entire process natively. This enables Maywood to optimally position each company being sold, in some cases replacing an MD’s original thesis altogether. \n\n### **2. Our Materials Can be Sent Directly to Clients** \n\nMaywood analyzes past confidential information memorandums (CIMs) and pitches to extrapolate firm-specific language and formatting standards. We run models that determine what has led to success in the past and emulate that in current deals, all while being in an isolated system. Some MDs forward materials directly generated on Maywood, while others use it to draft first-pass materials and iterate quicker using natural language to make slide mutations. \n\n![uploaded image](/media/?type=post&id=97535&key=user_uploads/2969341/86433f7d-2dfb-4678-a235-18b429c7690a)\n\nMaywood also transforms the due diligence portion of the process, where buyers ask countless questions about the transaction. Maywood surfaces answers immediately and flags missing information along with key risks to ensure deal teams are fully equipped.  \n\n![uploaded image](/media/?type=post&id=97535&key=user_uploads/2969341/9910819f-a237-47f5-8465-6421fad16989)\n\n### **3. We Deliver Everything via a Single Platform** \n\nEverything is connected. The analysis feeds into decks and the due diligence module. Data updates propagate throughout the entire system automatically. Every feature works as a function of this continuously updating data layer, from first document uploaded to close. \n\n \n\n# **Who This is For** \n\nWe are focused on middle-market and large investment banks running multiple sell-side processes per year and teams that care deeply about quality, consistency, and speed. \n\nWe are already working with several banks and are seeing strong results! \n\n \n\n# **Our Ask**  \n\nIf you are, or know, any of the following, we would love to talk: \n\n* Investment bankers thinking seriously about how AI fits into execution \n\n\n* COOs, heads of operations, or tech leaders at banks evaluating productivity tools \n\n\n* Former bankers with strong opinions about what actually matters in sell-side execution \n\nYou can reach us at [**founders@maywoodai.com**](mailto:founders@maywoodai.com). \n\nIf you know anyone thinking about selling their company, we are happy to help out as well! We have a lot of banking connections to help you navigate this process and get the best outcome possible. \n\n \n\n# **Team** \n\n**Drake** leads product, strategy, and go-to-market. He saw the significant shortcomings and breakdowns of the deal process firsthand while working on some of the largest deals in the industry. He previously worked in private equity at Blackstone, where he helped roll out AI initiatives. He graduated Summa Cum Laude from the Huntsman Program at Wharton. \n\n**Kent** leads AI and go-to-market. He always loved doing analyst work first manually and then automating it end-to-end right after. That mindset led him to MIT, where he conducted deep research in neural stylistic transfer. Wanting to do this at scale, Kent went to BCG to automate work at Fortune 500 companies. When he heard deals take 6-9 months end to end when the manual work could be shortened to weeks, he founded Maywood to transform the industry. \n\n**Esteban** leads AI and infrastructure. He saw how much AI could transform a financial organization during his time in the hedge fund space at Balyasny. With a strong research background in AI and machine learning, he joined Kent and Drake in founding Maywood to bring those same transformations to dealmaking.  ",
        "url": "https://www.ycombinator.com/launches/PN9-maywood-ai-for-m-a",
        "votes": 31,
        "created_at": "2026-02-05T17:30:24.158Z"
      }
    ]
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    "id": 31189,
    "name": "Revion",
    "slug": "revion",
    "former_names": [],
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    "website": "https://revion.inc",
    "all_locations": "New York City, NY, USA",
    "long_description": "Revion is building the operating system for Automotive Retail. Our first product helps Technicians automate administrative work, which drains 30-40% of their day. With Revion, Auto Retailers can service more vehicles and drive more high-margin Revenue. ",
    "one_liner": "Intelligence for Automotive Operations",
    "team_size": 10,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1771887263,
    "tags": [
      "AI",
      "Automotive"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2026",
    "status": "Active",
    "industries": [
      "B2B"
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    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
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    "stage": "Early",
    "app_video_public": false,
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    "url": "https://www.ycombinator.com/companies/revion",
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    "year_founded": 2025,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/getrevion",
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      "name": "Jon Xu",
      "url": "https://www.ycombinator.com/people/jon-xu"
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    "founders": [
      {
        "user_id": 3201704,
        "full_name": "Zaki GW",
        "title": "Founder/CEO",
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        "url": "https://www.ycombinator.com/companies/9-mothers-corporation/jobs/dP71lRK-machine-learning-engineer-senior",
        "location": "Austin",
        "type": "Full-time",
        "role": "Engineering",
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        "salary_range": "$150K - $250K",
        "equity_range": "0.02% - 0.05%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
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        "experience": "6+ years",
        "visa": "US citizen/visa only",
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        "url": "https://www.ycombinator.com/companies/9-mothers-corporation/jobs/BQMcLKU-lead-mechatronics-engineer",
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        "location": "Austin",
        "type": "Full-time",
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        "experience": "8+ years",
        "visa": "US citizen/visa only",
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        "title": "Embedded Engineer (BSP), Staff",
        "url": "https://www.ycombinator.com/companies/9-mothers-corporation/jobs/53o387J-embedded-engineer-bsp-staff",
        "location": "Austin",
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        "role": "Engineering",
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        "equity_range": "0.02% - 0.05%",
        "experience": "8+ years",
        "visa": "US citizen/visa only",
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    "news": [
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        "title": "At Fort Bragg, a jam session for a \"new era of warfare\"",
        "url": "https://www.axios.com/2026/08/26/sandhills-army-forterra-9mothers-drones-autonomy",
        "date": "Aug 25, 2026"
      },
      {
        "title": "U.S. Army tests self-driving truck with drone-killing turret",
        "url": "https://defence-blog.com/u-s-army-tests-self-driving-truck-with-drone-killing-turret/",
        "date": "Aug 22, 2026"
      },
      {
        "title": "A Tale of Two Techs: A Unique Partnership for Drone Defense Solutions",
        "url": "https://www.recoilweb.com/a-tale-of-two-techs-a-unique-partnership-for-drone-defense-solutions-193182.html",
        "date": "Aug 18, 2026"
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        "title": "The U.S. Army tested a (semi)-autonomous Ford F-250 equipped with the Edda counter-drone turret during Project Sandhills 2.0 at Fort Bragg on August 18.",
        "url": "https://www.instagram.com/p/DcYmX9RDGpU/",
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        "body": "We make AI mission systems for the DoW.\n\n![uploaded image](/media/?type=post&id=102597&key=user_uploads/1373/31af3058-9bd9-48b5-8b9a-4840055d12f9)\n\nOur first product - EDDA - is a tiny robot that protects soldiers and critical assets from Group 1 suicide drones. We are building it small enough and cheap enough to put that protection on everything: every vehicle, every position, every asset. EDDA defeats fast group 1 threats that fielded systems consistently miss. Operators evaluating it have told us it's the only system that's stopped fast Group 1 - we'll let them speak for themselves when they can.\n\n<https://www.youtube.com/watch?v=KBGBUmwgpL0>\n\nWhy this? We were watching people die in the Russia-Ukraine conflict, and ended up researching the state of the union on defeating suicide drones. It was insanely bad - over-focus on RF, EW, and larger systems - all with obvious flaws. Nothing was working, all demos were of slow speed or static drones. RF &amp; EW are somewhere between dead-ends and table-stakes, and the larger systems had many flaws. So, we felt compelled to fix it.\n\n<https://www.youtube.com/watch?v=PEgJkZTNcks>\n\nThe U.S. and allies are up-against this threat with no viable solution, until now. We have multiple contracts, and have sold and delivered multiple systems.\n\nOur next 3 products follow the same vein - delivering working systems at low SWaPc.",
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        "created_at": "2026-06-05T18:10:21.843Z"
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        "full_name": "Feroze Mohideen",
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        "url": "https://www.ycombinator.com/companies/robby/jobs/tpzTfLy-founding-engineer",
        "location": "New York, NY, US",
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        "experience": "3+ years",
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        "id": 97709,
        "title": "Robby - Agentic revenue growth for home services businesses 💸📈",
        "tagline": "Turning every technician visit into additional revenue.",
        "body": "**TL;DR:** Robby is a growth platform that converts every technician visit into revenue. We combine third-party and customer data to uncover high-intent leads and prepare technicians with talking points that increase sales rates. Early customers are seeing 6 figures in opportunities every week with Robby.\n\n**Ask:** If you know any owners or GMs at home services businesses, please introduce us! [founders@tryrobby.com](mailto:founders@tryrobby.com)\n\n**Problem**\n\nHome services businesses generate enormous amounts of valuable data every day, but most of it never turns into revenue. Technicians are in customers’ homes constantly, observing aging equipment, safety issues, and upgrade needs. (For example, they might be called to service a furnace and won’t notice the 20 year old boiler next to it.) That information is often: \n\n* Captured inconsistently (or not at all)\n* Hard to operationalize across a team\n* Invisible to owners and GMs until it’s too late\n\nThe result: high-intent opportunities are missed, close rates vary wildly by technician, and leadership lacks a real-time view of revenue potential, **even while demand is already there**.\n\n**Solution**\n\nRobby turns every technician visit into a structured growth opportunity: \n\n* Ingests customer, technician, and third-party data\n* Uses AI to surface dozens of high-intent opportunities each day\n* Equips technicians clear, contextual talking points to guide customer conversations\n* Capture customer insights that would otherwise be lost through lightweight voice AI\n* Provides GMs a single command center to monitor pipeline and drive revenue\n\n \n\nAll without changing how technicians or office teams already work. Today, we have several paying customers who are each uncovering 6 figures in additional revenue opportunities every week. On our first day of launch, Robby helped close **$40k in new business within the first hour.**\n\n**Product Launch**\n\n<https://youtu.be/zOBrEP3oyfk>\n\n**Product Demo**\n\n<https://www.tella.tv/video/30s-robby-opportunity-dashboard-55xb>\n\n**Why we’re building Robby** \n\nBefore building Robby, we spent months embedded in the home services industry. We rode along with dozens of HVAC technicians and shadowed dispatch, CSRs, sales managers, and GMs. We focused on understanding where data breaks down in day-to-day operations, and where real leverage actually exists. \n\nWe’re currently studying for the EPA 608 certification so we can become certified technicians ourselves. We believe the best vertical software starts with deep respect for the work and the people doing it.\n\nOur team brings experience building and scaling products at Ironclad, Porter, Affinity, Uber, and Cloud Health Systems, and advising growth and software acquisitions for PE firms at Bain. We met at Harvard Business School and dropped out to work on Robby full-time.\n\n![uploaded image](/media/?type=post&id=97709&key=user_uploads/642838/5820f754-7949-4ed6-b7eb-ab3d89ed1ecd)\n\n",
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        "votes": 93,
        "created_at": "2026-02-11T21:15:09.235Z"
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    "website": "https://sitefire.ai",
    "all_locations": "BY, Germany",
    "long_description": "Sitefire (YC W26) helps brands market their products to agents. They create content and tools that get their products discovered and used by AI agents (ChatGPT, OpenClaw). Sitefire identifies which content drives AI visibility, and automatically creates it. The teams using Sitefire execute on-page and off-page actions to deliver measurable top-line growth.",
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    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Marketing",
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    "country": "DE",
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        "url": "https://www.ycombinator.com/companies/human-archive/jobs/4ZHnJO3-videographer",
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        "url": "https://www.ycombinator.com/companies/human-archive/jobs/ytPKyys-mechanical-engineer-wearable-systems",
        "location": "IN",
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        "url": "https://www.ycombinator.com/companies/human-archive/jobs/D1LyXYo-embedded-electrical-engineer",
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        "url": "https://www.ycombinator.com/companies/human-archive/jobs/q6l0qYC-firmware-engineer",
        "location": "IN",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Embedded systems",
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        "url": "https://www.ycombinator.com/companies/human-archive/jobs/84M0U0h-qa-hardware-test-engineer",
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        "role": "Design",
        "role_type": "Product design",
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        "experience": "Any (new grads ok)",
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        "title": "Head of Engineering",
        "url": "https://www.ycombinator.com/companies/human-archive/jobs/y2x2QPw-head-of-engineering",
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        "url": "https://techcrunch.com/2026/05/26/human-archive-taps-into-indias-services-startups-to-collect-data-for-physical-ai/",
        "date": "May 26, 2026"
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        "title": "Human Archive: The World's Largest multimodal robotics dataset",
        "tagline": "Let's archive the world for embodied intelligence",
        "body": "**TL;DR:** We’re capturing the structure of how humans interact with the physical world to model sensorimotor intelligence at scale\\\n**Launch Video:** <https://www.youtube.com/watch?v=pFHr3GlTpck>\n\n**The Problem:**\n\nModern AI is largely a knowledge transfer problem. Over the past decade, training on trillions of tokens of internet data enabled breakthroughs in LLMs, diffusion models, and vision-language models. But **human intelligence is predominantly embodied**, and the **internet does not capture it**. Every day we manipulate objects, apply force, and subconsciously adapt in noisy real-world environments. Yet there is no dataset that captures the **structure of human interaction with the physical world at scale**. As a result, progress in \\*\\*embodied spatial intelligence is bottlenecked by data.\\*\\*\\\n\\\n**What we built:**\n\nOver the past two months, we built infrastructure for high-quality data collection at scale, including:\n\n* Custom hardware rigs\n* Internal models for policy benchmarking\n* QA pipelines, alignment, and annotation software\n* 25-person operations team\n* Dedicated servers at our AWS data center for terabyte-scale offloading\n\nNow that the system is live, we can collect **up to 8,000 hours of data per day** and we’ve signed national level partnerships to scale our contributor network to **50,000+ people.** We’ve already shipped datasets to frontier research teams, and have built the largest multimodal dataset of it’s kind.\n\n**Our datasets:**\n\nWe are currently collecting data across **homes, restaurants, hotels, retail, transportation, construction, horticulture, and industrial environments** across two datasets. \\\n\\\n**HA-Multi** is a fully aligned multimodal dataset with **vision, stereo depth (IR dot projection), tactile gloves, body IMUs, and wrist cameras**. For customers, we provide structured outputs and visualizations including **3D MANO hand reconstructions, 2D tactile force maps, depth maps per timestamp, and human pose reconstructions**. \\\n\\\n**HA-Ego** is a **mono RGB vision** and **wrist cameras** dataset. \\\n\\\nWe provide **annotations** and **metadata** including **environment and scene descriptions, high-level task descriptions, task-aligned atomic action labels, hand tracking, object segmentation, SLAM (extrinsic** and **intrinsics),** and **3D pose reconstruction**.\n\n**Team:**\n\nHi, we’re Shloke, Samay, Rushil, and Raj. We’re engineers from Stanford and Berkeley who’ve spent our entire lives building across operations, hardware, and robotics. We’ve known each other for over 20 years and joined forces to dedicate the rest of our lives to building the Common Crawl for human sensorimotor intelligence.\n\n**Our Ask**\n\nWe'd love to talk with you if:\n\n* You’re building in **robotics, world models, or evaluations**\n* You work at or with frontier AI labs interested real world\n* You know cleaning companies, hotel chains, restaurants, factories, or other businesses interested in scaling efficiency and profits with AI\n\n👉 Contact us at [raj@humanarchive.ai](mailto:raj@humanarchive.ai)\n\n💼 Follow us on LinkedIn: <https://www.linkedin.com/company/human-archive/>\n\n📱 Follow us on X: <https://x.com/babugi28>",
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        "created_at": "2026-03-08T23:44:25.753Z"
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        "url": "https://www.ycombinator.com/companies/pocket/jobs/KM5BM0s-customer-support-lead",
        "location": "San Francisco, CA, US",
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        "location": "San Francisco, CA, US",
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        "title": "Research Engineer - Voice Intelligence",
        "url": "https://www.ycombinator.com/companies/pocket/jobs/TdcrUTp-research-engineer-voice-intelligence",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
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        "title": "Product Designer",
        "url": "https://www.ycombinator.com/companies/pocket/jobs/9ut9HGO-product-designer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
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        "role_type": "Product design",
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        "title": "Supply Chain Analyst",
        "url": "https://www.ycombinator.com/companies/pocket/jobs/I3ev3LH-supply-chain-analyst",
        "location": "San Francisco, CA, US / Remote",
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        "id": 105488,
        "title": "Senior Amazon Marketplace Manager",
        "url": "https://www.ycombinator.com/companies/pocket/jobs/1Esi2IU-senior-amazon-marketplace-manager",
        "location": "San Francisco, CA, US / Remote",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$110K - $150K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 106482,
        "title": "Fractional General Counsel",
        "url": "https://www.ycombinator.com/companies/pocket/jobs/K7pXXzZ-fractional-general-counsel",
        "location": "San Francisco, CA, US / Remote",
        "type": "Contract",
        "role": "Legal",
        "role_type": null,
        "salary_range": "$200 - $300 / hourly",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 107563,
        "title": "Visual Designer / Design Generalist",
        "url": "https://www.ycombinator.com/companies/pocket/jobs/IPLsX7h-visual-designer-design-generalist",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Design",
        "role_type": "Brand/graphic design",
        "salary_range": "$95K - $120K",
        "equity_range": "0.01% - 0.02%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Branding",
          "Marketing design",
          "Figma"
        ]
      },
      {
        "id": 110617,
        "title": "Founding Recruiter",
        "url": "https://www.ycombinator.com/companies/pocket/jobs/Fk8pBPH-founding-recruiter",
        "location": "San Francisco, CA, US / Remote (US)",
        "type": "Full-time",
        "role": "Recruiting & HR",
        "role_type": "Full cycle",
        "salary_range": "$150K - $250K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
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        "id": 112943,
        "title": "Founding Account Executive",
        "url": "https://www.ycombinator.com/companies/pocket/jobs/nUpiCKn-founding-account-executive",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$100K - $250K",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 112944,
        "title": "Founding Account Manager",
        "url": "https://www.ycombinator.com/companies/pocket/jobs/KADx9Nm-founding-account-manager",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$100K - $200K",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 112945,
        "title": "Founding Growth Marketer, B2B",
        "url": "https://www.ycombinator.com/companies/pocket/jobs/vNcfLPO-founding-growth-marketer-b2b",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$120K - $160K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 115223,
        "title": "Head of Subscriptions & Monetization",
        "url": "https://www.ycombinator.com/companies/pocket/jobs/5eJ8miH-head-of-subscriptions-monetization",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$220K - $260K",
        "equity_range": "0.20% - 0.35%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115911,
        "title": "Founding Content Creator",
        "url": "https://www.ycombinator.com/companies/pocket/jobs/1AGdgTC-founding-content-creator",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Marketing",
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        "salary_range": "$120K - $160K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
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      {
        "id": 115943,
        "title": "Head of Product",
        "url": "https://www.ycombinator.com/companies/pocket/jobs/Fr5muFh-head-of-product",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Product",
        "role_type": null,
        "salary_range": "$220K - $300K",
        "equity_range": "0.30% - 0.50%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
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    ],
    "news": [
      {
        "title": "Pocket's AI Notetaker Launched 8 Months Ago. Revenue Is Soaring. - Business Insider",
        "url": "https://www.businessinsider.com/pockets-ai-notetaker-launched-8-months-ago-revenue-is-soaring-2026-8",
        "date": "Aug 19, 2026"
      },
      {
        "title": "Pocket raises $11M in bet on rising demand for AI note-taking devices | TechCrunch",
        "url": "https://techcrunch.com/2026/06/29/pocket-raises-11m-in-bet-on-rising-demand-for-ai-note-taking-devices/",
        "date": "Jun 29, 2026"
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    "launches": [
      {
        "id": 98365,
        "title": "Pocket - Your notetaker for real world meetings",
        "tagline": "There's a hundred apps for online meetings. This is for everything else.",
        "body": "## **TL;DR**\n\nPocket is a small device that takes notes for all your conversations and meetings. Later, Pocket sends you transcripts, summaries and pulls out your to-dos.\\\n\\\nPocket is taking off. In the last 5 months, we’ve delivered over 30,000 units. **We have a $27M annualized revenue run rate, growing 50% month over month.**\n\n<https://youtu.be/VpNJNPkbsIs>\\\n\\\n**Hey, we're Akshay and Gabriel.**\n\nWe kept noticing the same thing: every important conversation in our lives happened in person - investor meetings, doctor visits, client calls, team standups. And every single note-taking tool on the planet only worked over Zoom.\n\nFor in-person conversations, the best technology available was a pen.\n\n**So we built Pocket.**\n\nPocket is a small device. **Three mics. One button.**\n\nYou press it. You have your conversation. **A summary is waiting for you in the Pocket app.**\n\nThe full transcript too. Pocket tacks who said what. You get automatically-generated summaries. And those things you promised? **We capture all your todos for you.**\n\nWith Pocket, **you don't type. You don't take notes. You can just talk and be present.**\\\n\\\n**It also does something no app can:**\n\nSnap Pocket to the back of your phone. **Its contact mic can capture and summarize both sides of a phone call. No speakerphone required.**\n\nYour doctor calls with test results? Someone rattles off an interesting quote? Your lawyer explains something complicated and fast? **It's all in Pocket. Word for word.**\n\n---\n\n![uploaded image](/media/?type=post&id=98365&key=user_uploads/1169515/acbda200-7586-4988-9cbd-0e54a95b9873)\n\n## **About Us:**\n\nAkshay previously built, Omi, one of the world's largest, open-source AI note-taking devices. He is obsessed with this problem and turned down the Google VR team three times to build Pocket.\n\nGabriel is the former CEO of DoxyChain.\\\n\\\n**How you can help:**\n\n🙏 **Try it!** Order yours today at [**heypocket.com/now**](https://heypocket.com/now). We’d love your feedback.\n\n💬 **Share this** with anyone you know who walks out of meetings thinking, \"wait, what did they say?\"\n\n🔗 **Enterprise/teams** — [**akshay@heypocket.com**](mailto:akshay@heypocket.com). We do bulk orders and deployment.",
        "url": "https://www.ycombinator.com/launches/PaX-pocket-your-notetaker-for-real-world-meetings",
        "votes": 494,
        "created_at": "2026-03-02T21:30:39.539Z"
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    "id": 31217,
    "name": "Polymath",
    "slug": "polymath",
    "former_names": [
      "Palette AI"
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    "website": "https://polymathlabs.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Polymath is a data lab focused on improving long-horizon agent capabilities and alignment.\r\n",
    "one_liner": "Simulation environments to train & evaluate long-horizon AI agents",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1769103780,
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2026",
    "status": "Active",
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
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    "url": "https://www.ycombinator.com/companies/polymath",
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    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/polymath-ai-labs",
    "x_url": "https://x.com/polymath_labs",
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/76bb13df5212f06b3a237b0ede4cf3adcc8c13e7.png",
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    "primary_partner": {
      "name": "Ankit Gupta",
      "url": "https://www.ycombinator.com/people/ankit-gupta"
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    "founders": [
      {
        "user_id": 3198256,
        "full_name": "Dylan Ma",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder / CEO @ Polymath. Previously @ Hume AI, AWS, UC Berkeley",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/dylan-ma-45725b158/",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8e7ea3e3207c15119f58ee39355aa19ac3745420.jpg"
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      {
        "user_id": 3217273,
        "full_name": "Naren Yenuganti",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder / CTO @ Polymath. Previously @ Plaid, Amazon, UC Berkeley\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/narenyenuganti/",
        "x_url": "https://x.com/narenyenuganti",
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        "id": 93737,
        "title": "Member of Technical Staff - Engineering",
        "url": "https://www.ycombinator.com/companies/polymath/jobs/t8l6gRt-member-of-technical-staff-engineering",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$150K - $300K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 93738,
        "title": "Member of Technical Staff - Research",
        "url": "https://www.ycombinator.com/companies/polymath/jobs/N7ZQQxs-member-of-technical-staff-research",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
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        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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    "news": [
      {
        "title": "Meet The New Y-Combinator Startups Poised To Change Tech",
        "url": "https://www.forbes.com/sites/dariashunina/2026/03/16/21-most-promising-startups-from-y-combinators-latest-batch/",
        "date": "Mar 16, 2026"
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    "launches": [
      {
        "id": 98237,
        "title": "Polymath",
        "tagline": "Simulation environments to train & evaluate long-horizon AI agents",
        "body": "## Problem\n\nWe’re at the very beginning of the agent era. The demand for AI is shifting from models that simply answer questions to agents that can operate autonomously over days and weeks. Models have become incredibly proficient at short tasks, but fail when asked to perform **long-horizon work** that requires proficiency with a **diverse set of tools**.\n\n![uploaded image](/media/?type=post&id=98237&key=user_uploads/2471616/0489f25a-b235-4d6f-ade3-86a0a5b4897c)\n\n(source: <https://metr.org/blog/2025-03-19-measuring-ai-ability-to-complete-long-tasks/>) \n\nStatic datasets are no longer sufficient. To improve the performance of autonomous agents, they must be trained inside environments that reflect the real world.\n\nToday, most RL environments are narrow in scope, test isolated workflows, deal with static data, and produce rollouts that take on the order of minutes to complete. Innovation in environment technology is needed in order to train agents that can perform reliably over extended durations without human guidance.\n\n## Solution\n\nPolymath builds **simulated worlds where AI agents learn to operate autonomously over long horizons**. Our environments combine running applications, real tools, and multi-step tasks that reflect the complexity of real work. Instead of solving small, isolated problems, agents learn by completing end-to-end work inside living systems that evolve over time. We train agents on tasks that could take humans days of effort to complete. To perform these tasks effectively, agents need to exercise good judgement under ambiguous circumstances, and respond to changes in the environment.\n\n## Horizon-SWE\n\nWe recently launched Horizon-SWE, a benchmark that drops frontier models into a simulated software company.\n\nIt consists of a **running application, real tools, and long-horizon tasks** covering the entire software development lifecycle (planning, coding, testing, deployment, monitoring). The benchmark measures the ability of AI agents to perform **end-to-end SWE tasks**, as opposed to code generation alone. Leading models score around 25% on the benchmark.\n\nRead more about our methodology here: <https://www.polymathlabs.ai/blog/horizon-swe>\n\n![uploaded image](/media/?type=post&id=98237&key=user_uploads/2471616/a86c29a4-fcff-4ae9-a7fe-53bdf6234300)\n\n## Team\n\nPolymath is a team of researchers and engineers from UC Berkeley, Hume AI, Plaid, and Amazon. We have years of experience post-training frontier models in industry, and building large-scale data systems.\n\nDylan previously led post-training research and data at Hume AI. He launched the first generative AI features at AWS model inference, and received the Amazon Inventor Award. Dylan studied Computer Science at UC Berkeley, and conducted research in reinforcement learning at Berkeley Artificial Intelligence Research (BAIR), and ML systems at the RISE Lab. He is a recipient of the National Science Foundation (NSF) Fellowship.\n\nNaren led the development of Plaid’s credit monitoring system from the ground up, building infrastructure that now supports millions of business-critical transactions daily. At Amazon, he was a core contributor to large-scale ML systems powering critical logistics workflows. Naren studied Electrical Engineering & Computer Science at UC Berkeley, and conducted research in ML systems at Berkeley Artificial Intelligence Research (BAIR).\n\nIf you work at a frontier lab and are interested in acquiring environments, or know someone who is, we’d love to chat! ([founders@polymathlabs.ai](mailto:founders@polymathlabs.ai))",
        "url": "https://www.ycombinator.com/launches/PYT-polymath",
        "votes": 43,
        "created_at": "2026-02-26T21:15:33.940Z"
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    "id": 31222,
    "name": "Superset",
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    "website": "https://www.superset.sh/",
    "all_locations": "San Francisco, CA, USA",
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    "one_liner": "Building self-improving software",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1772696752,
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    "regions": [
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        "full_name": "Kiet Ho",
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        "founder_bio": "Co-Founder at Superset\nprev cofounder at Onlook (W25), swe at Amazon, ServiceNow",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/kiet-ho",
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        "full_name": "Satya Patel",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder at Superset\nformer CTO of Untether Labs (YC W23), Google, Amazon",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/saddlepaddle/",
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        "full_name": "Avi Peltz",
        "title": "Founder/CPO",
        "founder_bio": "Co-Founder @Superset. | Prev. Co-Founder CTO Adam(W25) and Cofounder@BioGlyph ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/avipeltz",
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        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/superset/jobs/Nd9luiP-founding-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
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        "equity_range": "1.00% - 1.50%",
        "experience": "2+ years",
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        "title": "Founding Design Engineer",
        "url": "https://www.ycombinator.com/companies/superset/jobs/rp22UiM-founding-design-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Frontend",
        "salary_range": "$175K - $225K",
        "equity_range": "1.00% - 1.50%",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
        "skills": [
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          "React",
          "TypeScript",
          "Figma",
          "Tailwind"
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        "id": 101973,
        "title": "Superset - the open source IDE for the AI Agents era",
        "tagline": "The fastest growing open source agentic IDE: 11K stars + thousands of daily active users",
        "body": "**_TL;DR_ [Superset](https://superset.sh/)** is a terminal-first IDE with built-in agents management, PR review, and remote workspaces; built for running coding agents in parallel.\n\nSuperset is a daily driver for great teams including YC companies, engineers at Wix, DoorDash, Netflix, and major OSS products/projects including [homebrew](https://github.com/Homebrew/brew), [mastra](https://github.com/mastra-ai/mastra), [browser-use](https://github.com/browser-use/browser-use) and many more\\\n\\\nCheck out our fun video interviewing some of our users 👇\n\n<https://www.youtube.com/watch?v=r_d_eYBV8cI>\\\n\\\nWe're Avi, Kiet and Satya\\\n\\\nThe future workspace for software development looks less like a text editor based IDE and more like a tool to help devs manage multiple Claude Code or Codex sessions, setup automations and workflows for coding agents, aggregate context from tickets, logs, etc, and efficiently review changes.\\\n\\\nSince launching just 5 months ago:\n\n* **11K+ Github stars** and **75+ contributors,**\n* Used as the daily driver in great teams including YC companies, engineers at OpenAI, Google, Vercel, and major OSS products/projects including [homebrew](https://github.com/Homebrew/brew), [mastra](https://github.com/mastra-ai/mastra), [browser-use](https://github.com/browser-use/browser-use) and many more\n* A thriving community with **5K+ followers on X**, **1K+ members on Discord.**\n* Got **#1 on Product hunt** and **top 4 on HN twice**\n\n![uploaded image](/media/?type=post&id=101973&key=user_uploads/230159/5bfff019-f7dd-4262-b872-67641385eb17)\n\nX has been very supportive:\n\n![uploaded image](/media/?type=post&id=101973&key=user_uploads/230159/42ce6b2b-21fd-4d1b-9bcb-a00fecd85d52)\n\n\\\nCTO of Mastra:\n\n![uploaded image](/media/?type=post&id=101973&key=user_uploads/230159/3e7afc9f-1023-4d20-a701-324ecbc44273)\n\nVercel about Superset:\n\n![uploaded image](/media/?type=post&id=101973&key=user_uploads/230159/66749d1b-feea-4eb0-a2ba-3afb1a84e76a)\n\nPrinciple Engineer at Cloudflare\n\n![uploaded image](/media/?type=post&id=101973&key=user_uploads/230159/12c60756-7b29-45e8-96d4-72d9563979bb)\n\nCTO of Browser Use:\n\n![uploaded image](/media/?type=post&id=101973&key=user_uploads/230159/54080db5-f070-4d19-bf19-f9782075b1b0)\n\n\\\n**Superset Product Tour**\\\n<https://www.youtube.com/watch?v=YWDHn7gUwfg>\\\n**\\\nPlease try us and give us your feedback:**\n\nStar the repo: <https://github.com/superset-sh/superset>\\\nsend us your feedback: [hello@superset.sh](mailto:hello@superset.sh)\n\nTry superset: <https://superset.sh/>",
        "url": "https://www.ycombinator.com/launches/QWj-superset-the-open-source-ide-for-the-ai-agents-era",
        "votes": 12,
        "created_at": "2026-05-26T16:52:54.121Z"
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    "id": 31224,
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    "all_locations": "Amsterdam, NH, Netherlands",
    "long_description": "We deploy robots in warehouses to automate the most demanding job in logistics: unloading loose-loaded containers.\r\n\r\nOur customers include 3PLs (CEVA, Stord), distributors (DHL, PostNL) and many more logistics companies.",
    "one_liner": "Container unloading robots for warehouses",
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    "industry": "Industrials",
    "subindustry": "Industrials -> Manufacturing and Robotics",
    "launched_at": 1769385653,
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        "full_name": "Pieter Becking",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder of Servo7: Robots that unload containers in warehouses\n\nPreviously: Deep Reinforcement Learning at Boeing & LLM Engineer & shipped working Hyperloop. Built & sold recruitment tech startup.",
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        "linkedin_url": "https://www.linkedin.com/in/pieterbecking/",
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        "user_id": 2827656,
        "full_name": "Jasper van Leuven",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder of Servo7: Robots that 10x industry workers. Previously: Developed autonomous defence systems and deployed them in Ukraine. Built the first video generation model for autonomous driving before cosmos & sora.",
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        "id": 101951,
        "title": "Founding Hardware Engineer",
        "url": "https://www.ycombinator.com/companies/servo7/jobs/yPnmJfu-founding-hardware-engineer",
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      {
        "id": 97659,
        "title": "Servo7 - Robots for Industry",
        "tagline": "Simple and rapidly deployed robots for industry work",
        "body": "Hey everyone, we’re [@Jasper](https://bookface.ycombinator.com/user/2827656) and [@Pieter](https://bookface.ycombinator.com/user/2067100), co-founders of [@Servo7](https://bookface.ycombinator.com/company/31224). We build simple and rapidly deployed robots for industry work.\n\n**TL;DR**\n\nToday, implementing robotics means redesigning your entire facility around a robot. This is inefficient and unnecessary. With Servo7, you don’t have to do any of that. Our robots adapt to your environment.\n\n<https://youtu.be/AeXYDjMw_qo>\n\n**Problem**\n\nCurrently, industry robots are rigid single-purpose machines. Complete floor plans are redesigned around a single robot. As a result, the installation process is complex and inefficient.\n\nThis discourages many businesses from pursuing automation at all. That’s a missed opportunity.\n\n**Solution**\n\nInstead of adjusting the floorplan, redesigning the conveyor belts, and the outflow, our robots just work in the existing process.\n\nWe’re using AI models to train wheeled humanoids and robot arms. Once the robots are implemented, they’ll keep learning on the job: performing the tasks faster to increase throughput. The implementation of our robots is much faster and easier.\n\n![uploaded image](/media/?type=post&id=97659&key=user_uploads/2067100/e4f3ba51-26b4-4115-8b48-01502d7b9b6d)\n\n**How we got here**\n\nWe have been deploying robots and automating repetitive work for years, even in highly regulated industries like the military and hospitals. But, we also know the slow pain of traditional control methods. So we turned to AI to control robots, and found a much better way. Instead of pre-programming every possible movement, we put the robot to work with just a few demonstrations. We quit our jobs that same day to start Servo7.\n\nToday, we’re working with warehouses and CPG brands to automate their fulfillment.\n\n**Ask**\n\nIf you’re working in logistics, assembly, or manufacturing, our robots can help you improve your operations!\n\nReach out to us at [founders@servo7.com](mailto:founders@servo7.com) to chat. Cheers!",
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        "created_at": "2026-02-09T17:41:22.358Z"
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    "long_description": "Chasi deploys AI agents that help equipment dealers sell more, respond faster, and maximize fleet utilization - 24/7.\r\n\r\nOne-third of the cost to build and maintain the physical world goes to equipment, yet fleet utilization across the industry often sits below 60%. Billions in assets sit idle while dealers drown in phone calls, emails, and manual data entry. Missed quotes, slow follow-ups, and disconnected systems mean lost revenue every day.\r\n\r\nChasi plugs into a dealer's existing stack to deploy AI agents that handle sales, rentals, and service requests around the clock. The result: faster response times, higher utilization, and stronger margins, without adding headcount. We automate the busywork so teams can focus on what actually grows the business: customer relationships.\r\n\r\nAkash Pavan and Sarman Aulakh have built tractors, race cars, and robots, and previously led AI deployments at Tesla, Boeing, and Cummins, where they saw firsthand how much operational value gets left on the table in equipment-heavy industries. Chasi is live across equipment businesses in the US and Europe. ",
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    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1765343151,
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    "batch": "Winter 2026",
    "status": "Active",
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        "answer": "If we truly succeed, Chasi becomes the infrastructure layer for industrial commerce. AI agents, with human oversight, coordinate equipment, effectively match demand with supply, parts, payments, credit, and insurance across the industrial value chain. Chasi will be the clearing and coordination layer across OEMs, distributors, and marketplaces (Similar to Amadeus in the Travel Industry and Plaid in Financial Services)\r\n\r\nHistory shows that when you remove friction and improve the flow of goods and information (roads, railways, the internet, etc.), everything gets cheaper and more productive. By giving businesses broader, easier access to equipment, with higher utilization, less downtime, and faster access to the latest machines across agriculture, construction, energy, logistics, and more, we can expand global productive capacity and further lower the real cost of everyday essentials: food, housing, transportation, and energy."
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    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/chasi.json",
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    "country": "US",
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        "full_name": "Akash Pavan",
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        "founder_bio": "CEO at Chasi. Ex-Founding team/GM at Axion (pre-seed to Series B - Backed by Bessemer, Salesforce). Led AI deployments at Cummins, Harley Davidson, Denso & F500 Industrials. Built race cars, robots, tractors, and complex industrial automation systems.  ",
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        "full_name": "Sarman Aulakh",
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        "salary_range": "$80K - $140K",
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        "url": "https://www.ycombinator.com/companies/chasi/jobs/VLTx71b-founding-engineer",
        "location": "San Francisco, United States",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $170K",
        "equity_range": "0.40% - 1.00%",
        "experience": "1+ years",
        "visa": "Will sponsor",
        "skills": [
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          "PostgreSQL",
          "React Native",
          "TypeScript",
          "Next.js"
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      {
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        "title": "Founding Deployment Lead",
        "url": "https://www.ycombinator.com/companies/chasi/jobs/r9h3IuO-founding-deployment-lead",
        "location": "San Francisco, United States",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$120K - $160K",
        "equity_range": "0.15% - 0.40%",
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        "visa": "US citizen/visa only",
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      {
        "id": 97881,
        "title": "Chasi: AI Revenue Engine for the Equipment Industry",
        "tagline": "Agents that work 24/7 to sell, rent & service equipment to maximize utilization ",
        "body": "**TL;DR:** Chasi deploys AI agents that work 24/7 to help equipment dealers respond faster, sell more, and maximize fleet utilization.\n\nHey all! We're[ @Akash Pavan](https://www.linkedin.com/in/akashpavan/) and[ @Sarman Aulakh](https://www.linkedin.com/in/sarmanaulakh/) from Chasi.\n\nWe have built race cars, robots, tractors, and led AI deployments at F500 manufacturers like Tesla, Cummins, and Boeing. Now we're bringing AI to the $1T+ equipment distribution industry.\n\n<https://youtu.be/Kmc5Y_nSRe4?si=Y8dBQHuYvb0imw2P>\n\n**Ask**: If you work or know anyone in the equipment industry, introduce us! [founders@chasi.co](mailto:founders@chasi.co)\n\n**⚙️Problem**\n\nOne-third of the cost to build, move, and maintain the physical world goes to equipment (forklifts, cranes, excavators, etc), with trillions of dollars flowing through 100K+ dealers, distributors, and rental companies in the US alone. And that share is growing every year as machines get more capable and autonomous.\n\nThere are three core problems in the industry  \n\n* **$300B value lost in idle equipment** - Fleet utilization sits below 60%. One missed request or scheduling breakdown can leave a $200K asset earning nothing for weeks, wiping out months of margin.\n* **Software that creates work instead of eliminating it** - Dealers spend millions on DMS, ERP, and CRM systems that don't talk to each other. 50% of staff spend 2+ hours every day on phone calls, emails, and data entry. \n* **Tribal knowledge is the operating system** - Customer history, availability, who to call - it all lives in a few people's heads or offline notes. When they're off the clock, on vacation, or retired, the business stalls. New hires take months to ramp up, and after-hours demand goes unanswered.\n\n**🤖 Solution**\n\nChasi plugs AI agents into a dealer's existing stack to work around the clock, maximizing revenue and margins:\n\n* **24/7 AI Workforce** - Chasi handles requests across sales, rentals, and service around the clock. Checks availability, generates quotes, and automates renewals, service follow-ups, and dispatch, so teams can focus on relationships, not busywork.\n* **Revenue Intelligence** - Chasi pulls context from existing systems to build a complete picture of every asset, customer, and branch. Recommends what to add, remove, or reposition across locations to maximize utilization and profitability.\n* **Proactive Market Intelligence** - Chasi also tracks which customers are spending more vs. less, scans permits and public filings, and pulls in hundreds of public data sources to surface opportunities before competitors do.\n\n**Our Mission**  \n\nThe true promise of AI is to create abundance. In the physical world, abundance translates to the capacity to build, move, and maintain the civilization around us. At the core of this capacity is **equipment**.\n\n![uploaded image](/media/?type=post&id=97881&key=user_uploads/553457/976d6301-05bf-4fdf-90f2-7dfccdbaccd5)\n\nChasi's mission is to build the agentic infrastructure layer for industrial commerce. History shows that when you remove friction and improve the flow of goods and information (roads, railways, the internet), everything gets cheaper and more productive. Chasi will enable the next AI leap for global abundance.",
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        "created_at": "2026-02-17T00:58:27.549Z"
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    "website": "https://getbalance.ai",
    "all_locations": "London, England, United Kingdom",
    "long_description": "Balance is an AI accounting firm that helps SMBs close their monthly books. Our agents do the work of an in-house finance hire, reconciling books in real time and flagging issues before they become problems.",
    "one_liner": "Full-Stack AI Accounting",
    "team_size": 20,
    "industry": "B2B",
    "subindustry": "B2B -> Finance and Accounting",
    "launched_at": 1768976472,
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    "stage": "Early",
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        "user_id": 1315399,
        "full_name": "Mathias Løvring",
        "title": "Founder/CEO",
        "founder_bio": "Mathias is the Co-Founder & CEO of Balance (W26).\nHe's a former founder, CFO and operator.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/mathias-lovring/",
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      {
        "user_id": 3197691,
        "full_name": "Gus Levinson",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder, CTO at Balance. Maths + AI research at Imperial & Oxford. Built AI products at 3 startups across legal, education, and accounting. Founded Carlie's Crossing, tuk-tuk race across Sri Lanka raising $100k for mental health in memory of a childhood friend. Ex jockey: competed at Cheltenham Festival and over Grand National jumps.",
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      {
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        "full_name": "Emil Munk",
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        "founder_bio": "Emil is a Co-founder of Balance (W26). \nPreviously worked in Product in Encord (W21) as a Founders Associate at Kapa (S23) & at McKinsey & Company.  ",
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        "id": 95388,
        "title": "Founding Product Engineer",
        "url": "https://www.ycombinator.com/companies/getbalance/jobs/YV3eJUe-founding-product-engineer",
        "location": "London, England, GB / DK",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$100K - $200K",
        "equity_range": "0.10% - 1.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 112841,
        "title": "Business Development Representative (BDR)",
        "url": "https://www.ycombinator.com/companies/getbalance/jobs/LlzXUqO-business-development-representative-bdr",
        "location": "London, England, GB / DK",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$40K - $100K",
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        "experience": "Any (new grads ok)",
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        "skills": [
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    "launches": [
      {
        "id": 97794,
        "title": "⚖️ Balance - AI accounting firm for SMBs",
        "tagline": "Balance provides real-time, audit-ready bookkeeping & accounting - run by AI, signed off by real accountants.",
        "body": "Hey everyone [👋](https://emojipedia.org/waving-hand)\n\nWe’re [Emil](https://www.linkedin.com/in/emil-munk/), [Mathias](https://www.linkedin.com/in/mathias-lovring/) and [Gus](https://www.linkedin.com/in/gus-levinson/) - Co-founders of [**Balance**](https://getbalance.ai/).\n\n### **TL;DR**\n\n**Balance provides real-time, audit-ready bookkeeping & accounting - run by AI, signed off by real accountants.**\n\n* Our AI agent **Bea** handles reconciliation, categorization & reporting\n* Ask **Bea** anything in Slack, WhatsApp or email - like having a finance hire on call\n* Human accountants review your books & file your returns\n* Flat pricing, no surprises\n\n👉 **Ask**: Know a founder or small business paying too much for messy, slow accounting? \\\n**Introduce them to us,** or contact: [founders@getbalance.ai](mailto:founders@getbalance.ai) / book a demo [here](https://cal.com/balance-mathias).\n\n[**https://youtu.be/oWFYg1jBcrU**](https://youtu.be/oWFYg1jBcrU)\n\n# \n\n# **❌** The Problem\n\nThe finance & accounting industry is broken - so **we’re building Balance to fix it.**\n\nCompanies spend over $680B each year on accounting services. Yet +80% of firms still rely on manual, spreadsheet-based reconciliation processes, and small business owners spend 20+ hours every week managing their books, from invoicing and expenses to reporting and taxes.\n\n**As former CFOs and business owners, we’ve lived the problem for years:**\n\n* Paying thousands per month for late, inaccurate books\n* Scrambling to fix errors before board meetings\n* Waiting weeks for sloppy month-end closes\n* Chasing receipts to stay compliant\n\n\\\n**Why hasn’t this been solved?**\n\nBecause bookkeeping isn’t just rules - it’s judgment. And traditional firms aren’t built to solve this with AI. But companies needed this _yesterday;_ Despite only incorporating in January, we are already active across multiple industries helping some of the most forward-looking and modern companies in everything from tech, ecommerce, florists, to digital consultants, close their books **faster**, **cheaper** and more **accurately**.\n\n![uploaded image](/media/?type=post&id=97794&key=user_uploads/2342832/6a4d536d-9b7c-413f-8a3a-c909d22c5a13)\n\n# [**👷**](https://emojipedia.org/construction-worker) Our Solution\n\nWe’re building the accounting firm we always wished existed; combining AI systems with human experts to deliver **clean books, real-time insights, and instant answers.**\n\n**Our AI agents ingest your business context — revenue, payroll, banking, expenses, ledger, and automate the full back-office finance stack.**\n\nOur agents categorize transactions, reconcile accounts, and surface anomalies in real time, with a human in the loop for review and accuracy.\n\nOnce the books are clean, Balance becomes the easiest way to actually _understand_ them.\n\nFounders can dive into costs, audit subscriptions, break down revenue, and validate taxes; all from where they work (Slack, WhatsApp, email), without waiting on PDFs or parsing spreadsheets. It’s your outsourced finance function. Accurate books, responsive, and always up-to-date.\n\n![uploaded image](/media/?type=post&id=97794&key=user_uploads/2342832/87ac5371-367d-4cbb-bae8-eb78564cb10b)\n\n# [**👬**](https://emojipedia.org/men-holding-hands) The Team\n\nWe're a team of repeat founders, CFOs, and AI engineers who built finance teams at high-growth startups and scaled vertical AI applications globally, across McKinsey and 3 YC companies.\n\n**Mathias**: Former CFO at Female Invest (YC S21), founder of an accountancy, and small business owner. Lived this problem firsthand, chasing external accountants, correcting their mistakes and spending hours on manual processes that should be automated.\\\n**Gus**: Maths, CS & AI Research at Imperial and Oxford. Built agentic AI systems across education and legal. \\\n**Emil**: Previously at McKinsey, Kapa AI (YC S23), and worked within product at Encord (YC W21).\n\n![uploaded image](/media/?type=post&id=97794&key=user_uploads/2342832/e779eba3-0917-4367-a803-2a7a41f21c86)\n\n",
        "url": "https://www.ycombinator.com/launches/PRK-balance-ai-accounting-firm-for-smbs",
        "votes": 765,
        "created_at": "2026-02-13T07:57:35.468Z"
      }
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  {
    "id": 31239,
    "name": "Fort",
    "slug": "fort",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/942d9dd9102b9fef3579d0744c11a1afd6e01de3.png",
    "website": "https://fort.cx",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Fort is a wearable that tracks strength training for people who care about longevity. Other wearables make you manually log every rep, set, and exercise, then provide unhelpful feedback or underestimate strength-related fatigue. We use heart rate and motion data to track your strength workouts for you, then provide thoughtful, actionable feedback that helps you achieve your goals.",
    "one_liner": "Strength Tracking Wearable",
    "team_size": 4,
    "industry": "Consumer",
    "subindustry": "Consumer -> Consumer Electronics",
    "launched_at": 1769992231,
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    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
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      "name": "Gustaf Alstromer",
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      {
        "user_id": 1251673,
        "full_name": "Miranda Nover",
        "title": "Founder/CEO",
        "founder_bio": "Founder and CEO of Fort. Previously was a Product Design Engineer at Tesla, working on 4680 battery cells for the Cybertruck from prototype through successful launch. \n\nStudied Mechanical Engineering at Carnegie Mellon. Loves fitness and design.",
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        "full_name": "Paul Schneider",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder and CTO at Fort. Worked on millimeter-wave radar and detecting electrical fires at Tesla. Also owned systems design & autonomy architectures for Semi and Robotaxi.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/paulcschneider",
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        "full_name": "Zac Valles",
        "title": "Founder",
        "founder_bio": "CPO at Fort. Former Senior Engineer at Tesla. Owned body and powertrain subsystems for Cybercab and Cybertruck from prototype to production. Previously propulsion and Starlink at SpaceX. \n\nAthlete and craftsman. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/zacvalles/",
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        "id": 94624,
        "title": "Social Content Intern",
        "url": "https://www.ycombinator.com/companies/fort/jobs/L4QRVHl-social-content-intern",
        "location": "San Francisco, CA, US / Remote (New York, NY, US)",
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        "experience": "Any (new grads ok)",
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      {
        "id": 94629,
        "title": "Founding Designer",
        "url": "https://www.ycombinator.com/companies/fort/jobs/8SMt7qD-founding-designer",
        "location": "San Francisco, CA, US / New York, NY, US",
        "type": "Full-time",
        "role": "Design",
        "role_type": "UI / UX",
        "salary_range": "$150K - $220K",
        "equity_range": "0.10% - 0.75%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
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    "news": [
      {
        "title": "The Fort Strength Training Wearable Tracks Your Sets (2026) | WIRED",
        "url": "https://www.wired.com/story/fort-strength-training-wearable-launch/",
        "date": "Mar 11, 2026"
      },
      {
        "title": "The Health Metric We’ve Been Ignoring",
        "url": "https://annemariechaker.substack.com/p/the-health-metric-weve-been-ignoring?utm_source=post-email-title&publication_id=2015755&post_id=190609265&utm_campaign=email-post-title&isFreemail=false&r=11l58w&triedRedirect=true&utm_medium=email",
        "date": "Mar 11, 2026"
      },
      {
        "title": "Ex-Tesla engineers just built a Whoop rival for serious weightlifters. Is the hype justified? | Stuff",
        "url": "https://www.stuff.tv/news/ex-tesla-engineers-just-built-a-whoop-rival-for-serious-lifters-is-the-hype-justified/",
        "date": "Feb 24, 2026"
      },
      {
        "title": "Tesla engineers built a Whoop competitor for lifters — but can it actually measure bar speed?",
        "url": "https://the5krunner.com/2026/02/19/fort-whoop-competitor/",
        "date": "Feb 19, 2026"
      },
      {
        "title": "Tesla Engineers Launch Whoop-Competing Strength Training Wearable - Athletech News",
        "url": "https://athletechnews.com/tesla-engineers-launch-fort-screenless-strength-training-wearable/",
        "date": "Feb 18, 2026"
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    "launches": [
      {
        "id": 98029,
        "title": "Fort | Automated Strength Tracking for Longevity",
        "tagline": "Relaunch of Fort - New Cofounder, New Form Factor, New Website",
        "body": "Strength training is gaining traction in both the longevity community and academia, where growing evidence links muscle mass and strength to lower all-cause mortality — yet existing wearables are failing to deliver a seamless strength tracking experience. Fort is **building a screenless wearable that detects strength training and fatigue** while also tracking sleep, cardio, and overall health in an all-day worn device.\n\n![uploaded image](/media/?type=post&id=98029&key=user_uploads/3343572/6f0f58e4-335c-4f2b-b2b0-bb098aa6cde3)\n\n**Co-founder Story**: My name is Zac. I met Miranda at a squat rack in Fitness SF - a little over a year later we got engaged. I met Paul in university where we designed, built, and raced electric vehicles. Paul and I worked at Tesla for the next 4-5 yrs doing much of the same. I introduced Miranda to Paul in late 2024, knowing that he wanted to work on something new, and Fort was born. I worked on the nights/weekends with Miranda and Paul prototyping designs until Fort occupied most of my mind share, joining full time in December ‘25.\n\nWe have a tight knit team that has experience shipping hardware at scale and a strong belief that (1) improving human health is the greatest technological frontier in the age of AI and (2) consumer devices will have a meaningful impact in people’s wellness.\n\n![uploaded image](/media/?type=post&id=98029&key=user_uploads/3343572/a1b5506e-26b6-4b5b-bd45-a33ad15c50c8)\n\n**New Form Factor**: The product we first introduced on BF (our beta prototype) has evolved to a sleeker, smarter, more mature design featuring three finishes: _Gold_, _Black_, and _Silver_ using premium materials in a form factor that disappears into your life.\n\nWhether you are wearing it in the gym or out to dinner, we want it to be something that you actually want to wear and blend seamlessly with other jewelry but be lightweight enough to wear in the gym.\n\n![uploaded image](/media/?type=post&id=98029&key=user_uploads/3343572/197389c4-4d80-448e-9c16-8999c0029a64)\n\n**New Website:** We’ve revamped our website explaining the use case of Fort, the value proposition centered around strength tracking capabilities “**This Wearable Actually Tracks Strength**”. In addition to detailed strength data, the Fort App also features insights into cardio, stress, and sleep, showing how they are all interconnected: “Learn how your lifestyle affects your strength, and what metrics move the needle on your strength progress”.\n\n![uploaded image](/media/?type=post&id=98029&key=user_uploads/3343572/7c19300b-5953-4a8b-8a17-db1663fb8553)\n\nFor a limited time, pre-order sales are discounted to $289 to the general public (starting $349) which includes the production device + 1 year of software. This discounted pre-order campaign will be capped at 1,000 pre-orders before we move to MSRP - [**https://www.fort.cx/#pricing**](https://www.fort.cx/#pricing)**.**",
        "url": "https://www.ycombinator.com/launches/PV7-fort-automated-strength-tracking-for-longevity",
        "votes": 39,
        "created_at": "2026-02-23T08:27:51.378Z"
      },
      {
        "id": 97385,
        "title": "Fort: Automatic Strength Tracking for People Who Care About Longevity",
        "tagline": "Other wearables track sleep and heart rate, but underestimate or ignore muscles and strength!",
        "body": "**TLDR;** Most wearables focus on sleep and heart rate. Fort is a wearable that automatically tracks strength training, for people focused on longevity.\n\n**We just opened pre-orders!** [**fort.cx/order**](http://fort.cx/order)\n\n<https://youtu.be/qU0IWkdsgY4>\n\n**Setting The Scene**\n\nStrength training has exploded in popularity over the past decade, especially recently. Whoop’s own data shows that strength workouts on their platform [**increased 122% YoY**](https://www.whoop.com/us/en/thelocker/whoop-year-in-review-2025/?srsltid=AfmBOoqLaNJlnaNn6uXWcFH8qfuk0ZRdry97kTI07R10adtOEx1jAR5H) between 2024 and 2025. For female Oura members, strength training was the [**third most popular**](https://ouraring.com/blog/oura-member-data-reveals-top-fitness-activities-among-female-members/?srsltid=AfmBOopcf5eXLLjOArvhBtKWvDVyd_oGxHgg2pOPhG3B7e5gHl9ME4Pb) activity, behind “walking” and “housework.” People now see strength training as a critical part of their wellness routine, not just a niche hobby for gym bros.\n\nAnd yet, neither Whoop nor Oura offers a strength tracking feature that actually works.\n\n**The Problem**\n\nIf you want to track strength workouts on existing wearables, you typically need to manually log every set, rep, and exercise. There are some attempts at automatic rep and exercise detection from Garmin and third-party Apple Watch apps, but the experience of using these products is unrefined compared to cardio or sleep features.\n\nEven after logging everything manually, wearables underestimate or ignore muscle fatigue, and lack actionable insights on how users should adapt their training to achieve their goals.\n\n**What we're building**\n\n![uploaded image](/media/?type=post&id=97385&key=user_uploads/1251673/343e5478-aeaf-426d-98a0-b04ac5978c5d)\n\n\nFort is a wearable that measures motion and heart rate to detect exercises, reps, sets, form, and fatigue that occurs while strength training. The device is a screenless band that can be worn on the wrist, attached magnetically to workout equipment, or worn with body straps elsewhere, so we can capture movements that wrist-only wearables miss.\n\nWe also track steps, sleep, heart rate, and cardio exercise, to provide you with a comprehensive picture of your health.\n\nYou can wear Fort all day, and the battery lasts a week with normal use.\n\n**Who it’s for**\n\nAnyone who cares about their health and regularly does some form of strength training, like gym or pilates!\n\n**About us**\n\n[Paul](https://www.linkedin.com/in/paulcschneider/), [Zac](https://www.linkedin.com/in/zacvalles/), and [Miranda](https://www.linkedin.com/in/mirandanover/) are ex-Tesla engineers who worked on Cybertruck, Semi, and Cybercab. We know how to build and ship consumer hardware at scale.\n\n**Fort is shipping starting June 2026. Pre-Order at: [https://www.fort.cx/order/](https://www.fort.cx/order/)**\n\n![uploaded image](/media/?type=post&id=97385&key=user_uploads/1251673/27c20f01-893d-4e4f-b35c-79f0c8af24e4)\n\n",
        "url": "https://www.ycombinator.com/launches/PKj-fort-automatic-strength-tracking-for-people-who-care-about-longevity",
        "votes": 22,
        "created_at": "2026-02-02T16:39:18.264Z"
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    "id": 31242,
    "name": "Booko",
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    "website": "https://booko.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Booko helps businesses that sell bookable time slots make more money by dynamically pricing their time. Unlike physical inventory, unsold time slots disappear forever, yet most time-slot-based businesses still rely on static pricing. We integrate with existing booking systems to adjust prices and incentives based on historical utilization, availability, and demand. Early customers see ~20% revenue uplift by selling time that would have otherwise gone unsold.",
    "one_liner": "Dynamically pricing the whole economy. ",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B",
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    "batch": "Winter 2026",
    "status": "Active",
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/booko",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/booko.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/bookoappinc/",
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    "primary_partner": {
      "name": "Harshita Arora",
      "url": "https://www.ycombinator.com/people/harshita-arora"
    },
    "founders": [
      {
        "user_id": 3198795,
        "full_name": "Will Hall",
        "title": "Founder/CEO",
        "founder_bio": "Econ + CS @ Dartmouth. Building dynamic pricing for service providers with Booko. Background as CEO/Founder of Hall & Partners Digital Marketing ($300K secured revenue, $500K proj. TTM)",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/will-hall-a1160432b/",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e94abd97747369b6830bdaaa735485e40373ae78.jpg"
      },
      {
        "user_id": 3079635,
        "full_name": "Arjun Saluja",
        "title": "Founder/CEO",
        "founder_bio": "Engineering & CS @ Dartmouth. Built dynamic pricing systems with the Uber Elevate team at Joby Aviation. Now building dynamic pricing @ Booko. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/arjun-saluja-a073b927a/",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b33506b79fc4b0fe61141918ce4dfe4f5283c4ec.jpg"
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    "jobs": [
      {
        "id": 94530,
        "title": "Founding Growth Lead",
        "url": "https://www.ycombinator.com/companies/booko/jobs/7yAOw07-founding-growth-lead",
        "location": "New York, NY, US / San Francisco, CA, US / Remote (US)",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$90K - $150K",
        "equity_range": "0.50% - 1.50%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 95979,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/booko/jobs/PPSedMS-founding-engineer",
        "location": "San Francisco, CA, US / New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$140K - $220K",
        "equity_range": "0.50% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 95985,
        "title": "Founding Forward-Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/booko/jobs/K3Oj9Sa-founding-forward-deployed-engineer",
        "location": "San Francisco, CA, US / New York, NY, US / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$140K - $220K",
        "equity_range": "0.50% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 95986,
        "title": "Founding Machine Learning Engineer",
        "url": "https://www.ycombinator.com/companies/booko/jobs/iW5ZIzm-founding-machine-learning-engineer",
        "location": "San Francisco, CA, US / New York, NY, US / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$140K - $220K",
        "equity_range": "0.50% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 97494,
        "title": "Booko  – Dynamic pricing for businesses that sell time slots",
        "tagline": "Helping recover billions in unsold revenue.",
        "body": "**TLDR: Booko is a pricing engine for businesses that sell time slots that uses dynamic pricing to fill more appointments during slow times (similar to how airlines and Uber price unused capacity).**\n\nWe’d love to speak with decision makers at any time-slot-based businesses that want to maximize their revenue! Booko is a great fit for any high fixed-cost business that’s selling their time. Some examples include: class-fitness studios, med-spas, tutoring centers, consultants, personal trainers, movie theaters and event venues, hair salons, accounting firms, and other appointment-based businesses with uneven demand.\n\nFeel free to email us: [arjun@bookoapp.com](mailto:arjun@bookoapp.com) & [will@bookoapp.com](mailto:will@bookoapp.com), or find a time to chat [here](https://calendly.com/will-bookoapp/15min?month=2026-01). \n\n**Product Video:**\n\n<https://www.youtube.com/watch?v=hpmFz1jo2WI>\n\n\\*\\*Problem/Solution:\\*\\*\\\nTime-slot based businesses all face the same issue: **every unsold hour is $0 revenue**. Demand is often uneven, and existing tools give customers no incentive to choose those slower times.\n\nBooko integrates with existing booking systems to automatically adjust prices and incentives based on historical utilization, real-time availability, and demand. Like airlines or Uber, we price unused capacity while staying inside the business’s existing workflows. **Early customers see around a 20% revenue lift by filling time that would have otherwise gone unsold.**\n\nBooko works anywhere people sell their time, from fitness-studios and med-spas to tutors, consultants, and professional services.",
        "url": "https://www.ycombinator.com/launches/PMU-booko-dynamic-pricing-for-businesses-that-sell-time-slots",
        "votes": 19,
        "created_at": "2026-02-04T17:41:28.620Z"
      }
    ]
  },
  {
    "id": 31259,
    "name": "Tsenta",
    "slug": "tsenta",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c0363e9662e7db43e0292d57332e9650487ebdbb.png",
    "website": "https://tsenta.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Tsenta is an AI career agent that matches you with jobs, applies automatically, and gets you the best offers on the market.\r\n\r\nWe grew to ~$3M Annualized in three months. \r\n\r\nWe built it after manually applying to over 3,000 jobs ourselves, so that candidates would always have someone on their side.\r\n\r\nToday, more than 90,000+ job seekers trust Tsenta to automate their job search.",
    "one_liner": "AI career agent that finds matching jobs & applies on your behalf",
    "team_size": 2,
    "industry": "Consumer",
    "subindustry": "Consumer -> Job and Career Services",
    "launched_at": 1769729252,
    "tags": [
      "Marketplace",
      "Consumer",
      "Recruiting",
      "HR Tech",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
    "industries": [
      "Consumer",
      "Job and Career Services"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": [
      {
        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "We're both international students who applied to 3,000+ jobs between us last year. After spending several hours a day retyping the same fields into Workday, we started building Tsenta for ourselves, all throughout our summer Internships, and launched out of our dorm at Rose-Hulman."
      },
      {
        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "The average student applies to 200-400 jobs per cycle and spends 15-30 minutes per application on menial data entry -  hundreds of hours wasted on broken forms instead of networking or preparing for interviews. \r\n\r\nEvery existing tool is either cloud-based and a black-box, or a slow chrome extension - and both are priced unnafordably for students, which is why we built transparent, on-device automation that actually works - and can fill out forms end-to-end."
      },
      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "To make hiring effortless for both job-seekers and recruiters alike."
      }
    ],
    "url": "https://www.ycombinator.com/companies/tsenta",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/tsenta.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/tsenta/",
    "x_url": "https://x.com/TsentaAi",
    "fb_url": "https://www.facebook.com/people/Tsenta/61589214140559/",
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c0363e9662e7db43e0292d57332e9650487ebdbb.png",
    "app_video_url": null,
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    "company_photos": [
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    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
    },
    "founders": [
      {
        "user_id": 2788219,
        "full_name": "Agnay Srivastava",
        "title": "Founder/CEO",
        "founder_bio": "Building the job automation platform I wish I had at 19. Founder @ Tsenta\nCS + AI @ Rose-Hulman | ex-Systems @ VIAVI, MLOps @ GrapheneAI, SWE @ Paytm",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/agnaysrivastava?utm_source=share&utm_campaign=share_via&utm_content=profile&utm_medium=android_app",
        "x_url": "https://x.com/AgnaySrivastava",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b4c4591c4f93e0c99ecac11cc5810808693feadf.jpg"
      },
      {
        "user_id": 2538831,
        "full_name": "Pulkit Gupta",
        "title": "Founder/CTO",
        "founder_bio": "Building the job platform I was too busy applying to jobs to make. Founder @ Tsenta.\nCS @ Rose-Hulman | ex-Full Stack @ RelateXR, Dexter Capital, Multibhashi (1M+ downloads)",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/pulkitgupta712/",
        "x_url": "https://x.com/pulkit_gupta2",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4b167d8bb1cb9eab727ad71d240dc730ea584232.jpg"
      }
    ],
    "jobs": [
      {
        "id": 108069,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/tsenta/jobs/hYAeFGp-founding-engineer",
        "location": "Bengaluru, KA, IN / Bengaluru, Karnataka, IN",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "₹7.5M - ₹15M INR",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      }
    ],
    "news": [
      {
        "title": " Two Indian students build AI startup 'Tsenta' that automates job applications, bags ₹5 Cr from Y Combinator",
        "url": "https://startuppedia.in/young-entrepreneur/young-entrepreneurs-founded-tsenta-bags-5-cr-from-y-combinator-12117787",
        "date": "Jun 30, 2026"
      },
      {
        "title": "‘Applied to 3,000 jobs, got 10 interviews’: Indian founders build AI to fix hiring, raise Rs 5 crore",
        "url": "https://www.moneycontrol.com/news/trends/applied-to-3-000-jobs-got-10-interviews-indian-founders-build-ai-to-fix-hiring-raise-rs-5-crore-13961381.html",
        "date": "Jun 29, 2026"
      },
      {
        "title": "Tsenta wants to make job applications faster, smarter, and a lot less manual\r\n | YourStory",
        "url": "https://yourstory.com/2026/06/tsenta-wants-to-make-job-applications-faster-smarter-less-manual",
        "date": "Jun 11, 2026"
      },
      {
        "title": "Two local college students are changing the way we apply for jobs - AOL",
        "url": "https://www.aol.com/articles/two-local-college-students-changing-223748000.html",
        "date": "Apr 24, 2026"
      },
      {
        "title": "Rose-Hulman students selected for Silicon Valley startup accelerator – Inside INdiana Business",
        "url": "https://www.insideindianabusiness.com/articles/rose-hulman-students-selected-for-silicon-valley-startup-accelerator",
        "date": "Apr 24, 2026"
      }
    ],
    "launches": [
      {
        "id": 108345,
        "title": "Tsenta: Your AI career agent that applies to jobs & lands you interviews",
        "tagline": "Tsenta matches you with jobs, tailors your resume & applies on your behalf. We applied to 3,000 jobs by hand and built this so that you don't have to :)",
        "body": "Hey everyone, Pulkit and Agnay here!\n\n<https://www.youtube.com/watch?v=hdlmaCSxiIk>\n\n**TLDR:**\n\nTsenta **matches** you with jobs, **rewrites** your **resume**, and **applies** for you. We built this because we applied to over 3,000 jobs as international students, and no other tool worked for us. 45,000+ people use it now, and over 70% of our paid users have landed interviews.\n\nSign up at: <https://tsenta.com/r/ycombinator> | 25 free applications on us, no card required :) + a 25% launch discount on any plan!\n\n**Why We Built Tsenta:**\n\nBecause job hunting sucks, and existing platforms suck harder. They either don't submit applications end-to-end reliably, don't give you visibility into what's being filled, or cost more per month than most students can afford. Which is why we built Tsenta to be the best platform on the market for job seekers, both feature and price wise.\n\n**What Tsenta does:**\n\n1. Matches you with over two million jobs in our database, updated every couple of hours.\n2. Rewrites your resume and cover letter in ATS friendly formats.\n3. Actually submits job forms on your behalf, handling account creation, email verification, &amp; filling in OTPs on over 30 ATSs.\n4. Tracks all of your applications for you, so you never have to rely on a spreadsheet again.\n\nTsenta also runs on iOS, Android, iMessage, WhatsApp &amp; as a chrome extension in addition to the web, so you can apply on the go, chat with Tsenta to manage and submit jobs, and use the Chrome extension to bring your own jobs as you browse other websites.\n\nSome of the places people have gotten interviews through Tsenta: Cisco, Goldman Sachs, JPMorgan Chase, Intel, NVIDIA, Scale AI, Northrop Grumman, Raytheon, SpaceX and Teamworks.\n\n**Who we are:**\n\nWe first met at a friend’s dinner back in 2024 and have been close friends for over 2 years now.\n\n**Pulkit:** Coding since the age of 13,Built a language app with 1M+ downloads at 17, shipped Bhasha Sangam for the Govt. of India (500k+ users), dealflow tooling at Dexter Capital. CS @ Rose-Hulman '28\n\n**Agnay:** Coding since the age of 11, Open-sourced Android device trees used by 2,000+ ROM builders, systems engineering at VIAVI, CS + AI @ Rose-Hulman '26.\n\n**Our asks**\n\n1. If you are job hunting, or know someone that is, send them to [tsenta.com/r/ycombinator](https://tsenta.com/r/ycombinator). 25% off any plan, first 25 applications free.\n2. We want this to be the best career agent out there and are super product-focused. Tell us what's broken or shoot us ideas at: [founders@tsenta.com](mailto:founders@tsenta.com).\n3. Hiring? We're building the employer side next and would love to hear where your process today breaks. Same email as above :)",
        "url": "https://www.ycombinator.com/launches/SBV-tsenta-your-ai-career-agent-that-applies-to-jobs-lands-you-interviews",
        "votes": 60,
        "created_at": "2026-07-31T16:26:27.894Z"
      }
    ]
  },
  {
    "id": 31260,
    "name": "Copperlane",
    "slug": "copperlane",
    "former_names": [
      "Sevenfold",
      "Rhombal",
      "Coevolved"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f6c74fb63a006045b5124e1949931ca658a4aafd.png",
    "website": "https://www.copperlane.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Copperlane helps mortgage lenders accelerate the loan process and reduce mistakes in an application. We use AI agents to understand an applicant's profile, verify their documents, and complete initial underwriting tasks.",
    "one_liner": "Agentic Mortgage Origination",
    "team_size": 3,
    "industry": "Fintech",
    "subindustry": "Fintech -> Credit and Lending",
    "launched_at": 1768253497,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2026",
    "status": "Active",
    "industries": [
      "Fintech",
      "Credit and Lending"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/copperlane",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/copperlane.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/copperlane/",
    "x_url": "https://x.com/copperlaneai",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f6c74fb63a006045b5124e1949931ca658a4aafd.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Harshita Arora",
      "url": "https://www.ycombinator.com/people/harshita-arora"
    },
    "founders": [
      {
        "user_id": 1705932,
        "full_name": "Athan Zhang",
        "title": "Founder/CEO",
        "founder_bio": "Cofounder & CEO @ Copperlane",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/athanzhang/",
        "x_url": "https://x.com/athanzxyt",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b2fada970b561d35b032565902b9cb852620f0fb.jpg"
      },
      {
        "user_id": 3082094,
        "full_name": "Brianna Lin",
        "title": "Founder",
        "founder_bio": "Co-Founder & COO @ Copperlane | UPenn M&T",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/brianna-lin/",
        "x_url": "https://x.com/briannajlin",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e148d2875818d32cc7e0c320484c5f1107da51b8.jpg"
      }
    ],
    "jobs": [
      {
        "id": 111227,
        "title": "Founding Software Engineer",
        "url": "https://www.ycombinator.com/companies/copperlane/jobs/RW3yRBp-founding-software-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$140K - $220K",
        "equity_range": "0.50% - 2.00%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Amazon Web Services (AWS)",
          "PostgreSQL",
          "Python",
          "React",
          "TypeScript"
        ]
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 98441,
        "title": "Copperlane - AI Native Mortgage Loan Origination",
        "tagline": "We help mortgage lenders close loans faster",
        "body": "Hey! We’re [Athan](https://www.linkedin.com/in/athanzhang/) and [Brianna](https://www.linkedin.com/in/brianna-lin/), the cofounders of [Copperlane](https://www.copperlane.ai/) (YC W26).\n\nCopperlane helps **mortgage lenders originate loans faster and eliminate intake errors**. Our AI agent Penny proactively closes loans by optimizing rate pricing, directing borrowers, and verifying docs. Loan officers receive complete files and can focus on bringing in new deals.\n\n[Copperlane Launch Video](https://youtu.be/-7Z8CI0O-GE)\n\n**The Problem**\n\nIt costs lenders $11,800 to originate a single mortgage. Most of that money is burned during intake:\n\n* Loan officer labor\n* Lost loans from confusing applications, back-and-forth, and bad rates\n* Costly mistakes from poorly structured files\n\nAll of these issues share the same root cause: people miss things. Borrowers upload the wrong documents, and lenders have to chase down borrowers to clarify details. This happens on almost every loan, every day, across 8 million loans a year.\n\n**Our Solution**\n\nCopperlane is an **AI-native loan origination system** powered by our agent, Penny, who behaves like a real loan officer by:\n\n1. Pulling borrower documents, reading them, and checking borrower loan eligibility\n2. Answering borrower questions live and helping them complete the loan application correctly\n3. Flagging missing documents or conflicting information and following up with borrowers\n4. Generating Letters of Explanation and building context around the applicant's financial profile\n\nPenny delivers complete, organized files to Loan Officers, so they can spend more time closing and bringing in business.\n\n**The Team**\n\nWe’re friends from the same hometown area, and we both come from mortgage families. \n\n* **Athan Zhang - CEO:**\n\n  Studied CS at Princeton. Ex-quant developer and 2x founding team at startups.\n* **Brianna Lin - COO:**\n\n  Studied CS and Finance at Penn M&T. Ex-Wall St. trader and 1st hire at prev. startup\n\n![uploaded image](/media/?type=post&id=98441&key=user_uploads/3082094/6e5874c4-9e0e-4bf0-9695-6cf967dbce94)\n\n**Our Ask**\n\nIf you KNOW ANYONE in mortgage lending who's frustrated with origination costs, cycle times, or loan fallout, we'd really appreciate an intro. ❤️\n\nYou can reach us at [founders@copperlane.ai](mailto:founders@copperlane.ai), or book a demo at [copperlane.ai](http://copperlane.ai). Thanks for reading! :)\n\nCarpe diem,\n\nAthan and Brianna",
        "url": "https://www.ycombinator.com/launches/Pbl-copperlane-ai-native-mortgage-loan-origination",
        "votes": 16,
        "created_at": "2026-03-04T07:38:43.342Z"
      },
      {
        "id": 97631,
        "title": "Q2Q - AI Native Deal Sourcing for Private Equity",
        "tagline": "We help deal teams find acquisition targets faster",
        "body": "Hey! We’re [Brianna](https://www.linkedin.com/in/brianna-lin/) and [Claire](https://www.linkedin.com/in/claire-wu-2b30b6184/), cofounders of [Q2Q](https://www.tryq2q.com/) (YC W26).\n\nAt Q2Q, **you tell us the types of companies you want to buy, and we'll get qualified meetings booked for you**. Behind the scenes, we find private companies and run personalized outreach to get you first calls scheduled with off-market opportunities.\n\n[Q2Q Launch Video](https://youtu.be/am_2jrJbvWQ)\n\n**The Problem**\n\nProprietary sourcing is extremely manual for deal teams. Firms typically hire a mini army of juniors to do it for them, and the quality of output is inconsistent.\n\n* It takes a ton of time to hire and train analysts to run sourcing\n* Sourcing is a repetitive loop… research the company, write a custom email, then cold reach out to them\n* The entire industry relies on the same databases, so owners get flooded with the same generic outreach\n\n**Q2Q’s Solution**\n\nWe’re your team of AI analysts that gets you first calls booked with companies you want to buy. We handle:\n\n1. **Sourcing:** Tell us about your thesis. We’ll go find and qualify companies that match your buying criteria. \n2. **Outreach:** We pull owner contact info and research each company across the web and their socials to customize each outreach message.\n3. **AI Phone Agent:** Our AI agent can directly dial business owners and ask for their availability and contact info for a first meeting.\n4. **Bookings:** As owners respond, we book the intro calls for you. You can see meetings populate on your calendar with notes prepared by our team.\n\n**The Team**\n\nWe met through Penn’s M&T Program, where we both studied CS and Finance in Wharton.\n\n* **Brianna Lin - CEO**\n\n  Previously at a software PE buyout shop and Jefferies\n* **Claire Wu - CTO**\n\n  Worked as a hedge fund engineer and in product at Qualtrics\n\n![uploaded image](/media/?type=post&id=97631&key=user_uploads/3082094/ca53e7e8-7862-4c76-a580-b99052252693)\n\n**Our Ask**\n\nIf you answer “yes” to any of these, we’d appreciate your help!:\n\n* Can you introduce us to anyone in private equity, M&A, or the independent sponsor space who runs outbound deal sourcing?\n* Can you introduce us to any MBA friends or search fund guys looking for acquisitions?\n\nYou can reach us at [brianna@tryq2q.com](mailto:brianna@tryq2q.com) or [claire@tryq2q.com](mailto:claire@tryq2q.com), or sign up for a demo at [tryq2q.com](http://tryq2q.com). Thanks for reading! :)",
        "url": "https://www.ycombinator.com/launches/POh-q2q-ai-native-deal-sourcing-for-private-equity",
        "votes": 52,
        "created_at": "2026-02-08T19:11:32.904Z"
      }
    ]
  },
  {
    "id": 31264,
    "name": "Vela",
    "slug": "vela",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/06e0dd16c2af788adc332865c74ea59fa44d4b7d.png",
    "website": "https://tryvela.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Scheduling one interview panel takes a dozen emails. Then someone moves a call and you start over. \r\n\r\nVela is an AI Scheduling Coordinator that handles it end to end. Just CC Vela on the thread like you would a person. It reaches out, finds times that work for everyone, chases the people who don't reply, reschedules when things change, and confirms. Over email, SMS, and WhatsApp, at any hour your candidate happens to respond.\r\n\r\nNo dashboard. No new workflow. Your team works the way it already works, without the scheduling.",
    "one_liner": "AI Recruiting Coordinator for Executive Search",
    "team_size": 15,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1770142827,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2026",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/vela",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/vela.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/tryvela/",
    "x_url": "https://x.com/try_vela_ai",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/06e0dd16c2af788adc332865c74ea59fa44d4b7d.png",
    "app_video_url": null,
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    "primary_partner": {
      "name": "Jon Xu",
      "url": "https://www.ycombinator.com/people/jon-xu"
    },
    "founders": [
      {
        "user_id": 1597904,
        "full_name": "Gobhanu Sasankar Korisepati",
        "title": "Founder/CEO",
        "founder_bio": "Gobhanu left Wharton's Huntsman Program to go all in on Vela. Ex- Perplexity & BCG AI. Z Fellow. Previously founded SWIFTmfi (a microfinance bank) at 14, disbursed loans across 77 countries.",
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        "user_id": 2237040,
        "full_name": "Saatvik Suryajit Korisepati",
        "title": "Founder/President",
        "founder_bio": "Saatvik dropped out of UChicago (Booth Scholar, MBA/MS CS) to build Vela. Filed his first patent at 16. Previously an award winning engineer on AWS's ML Supercompute team. BS CS + IS from Carnegie Mellon. Z Fellow.",
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      {
        "id": 94537,
        "title": "Founding Engineer @ Vela | Solving Scheduling",
        "url": "https://www.ycombinator.com/companies/vela/jobs/RCx5tKX-founding-engineer-vela-solving-scheduling",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$110K - $300K",
        "equity_range": "0.01% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
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          "Evals",
          "AI Agents",
          "AI Safety",
          "LangChain"
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      },
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        "id": 94929,
        "title": "AI Operations Associate",
        "url": "https://www.ycombinator.com/companies/vela/jobs/sv62rsO-ai-operations-associate",
        "location": "IN / Pune, MH, IN / Pune, Maharashtra, IN / Bengaluru, KA, IN / Bengaluru, Karnataka, IN / DL, IN / Delhi, IN / Chennai, TN, IN / Chennai, Tamil Nadu, IN / Remote (IN; Pune, MH, IN; Pune, Maharashtra, IN; Bengaluru, KA, IN; Bengaluru, Karnataka, IN; DL, IN; Delhi, IN; Chennai, TN, IN; Chennai, Tamil Nadu, IN)",
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        "visa": "US citizen/visa only",
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      {
        "id": 100909,
        "title": "Member of Technical Staff @ Vela",
        "url": "https://www.ycombinator.com/companies/vela/jobs/fbvQRtr-member-of-technical-staff-vela",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
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        "id": 114064,
        "title": "Founding Customer Success Lead",
        "url": "https://www.ycombinator.com/companies/vela/jobs/eMkJlvY-founding-customer-success-lead",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Support",
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        "equity_range": "",
        "experience": "3+ years",
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        "id": 114066,
        "title": "Founding Recruiter, India",
        "url": "https://www.ycombinator.com/companies/vela/jobs/YLfFzDU-founding-recruiter-india",
        "location": "IN / Remote (IN)",
        "type": "Full-time",
        "role": "Recruiting & HR",
        "role_type": "Full cycle",
        "salary_range": "₹800K - ₹1.2M INR",
        "equity_range": "",
        "experience": "1+ years",
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      {
        "id": 97575,
        "title": "Vela: AI Scheduling That Adapts to How You Work",
        "tagline": "Automated white glove coordination for the most complicated workflows, without the headache.",
        "body": "## Hey everyone - we’re Gobhanu and Saatvik, founders of @Vela\n\n\\\n**TL;DR**\\\nThe first scheduling agent that handles the messy reality of coordination - negotiating times, coordinating interviews, prioritizing VIPs, and managing your calendar exactly like a human EA wherever you communicate (email, messages, phone calls, etc).\\\n\\\n<https://youtu.be/j5uLJQl1iAU>\n\n**🧩 The Problem** \\\nMost scheduling tools assume the world is perfect. They expect rigid time slots and instant replies. But that is not how real business happens. Real business is \"Let's do early next week.\" Real business is a VIP client needing a slot over an internal catch-up. Real business is someone ghosting you for a week. Currently, we have three bad options:\n\n* **The Manual Way:** Personal but a massive time-sink that distracts from deep work.\n* **The \"Calendly\" Way:** Efficient but impersonal. It signals \"my time is more important than yours\" and breaks the moment you have complex constraints.\n* **The Human EA:** Great, but costs $80k/year and isn't available 24/7.\n\n**💡 The Solution** \\\nNow there's Vela. It is an autonomous agent built for the messy reality of coordination. It doesn't just book slots; it **negotiates** on your behalf with the white-glove service of a human executive assistant.\n\n**How it works:**\n\n* **The \"Just CC\" Workflow:** Write your message naturally: _\"Looping in Vela to find a time for us next week.\"_ Vela parses the conversation, checks your calendar, and reaches out to the other person directly to negotiate a slot. \n* **It Knows What’s Important To You:** Vela understands social hierarchy. It knows to prioritize a client over a coffee chat without you setting specific rules.\n* **It Handles Ambiguity:** You don't need to give it rigid parameters. Tell Vela \"Friday evenings are free,\" and it understands exactly what that means.\n\n**🔧 Traction & Story** \\\nWe built Vela because we saw high-performing teams drowning in admin work. Today, Vela is already used by the most demanding schedulers in the world - from **Enterprise Recruiters** scheduling thousands of multi-party interviews a week to **Startup CEOs** who need white-glove coordination at scale.\n\n**Our Team**\\\nWe are brothers who have been building together for years. Our last startup SWIFTmfi impacted millions across 77 countries! Together we combine experience from AWS ML & Supercompute, Perplexity, BCG AI, E&Y, Wharton (Huntsman), CMU, Georgia Tech, & UChicago - Booth.\n\n**🙌 The Ask** \\\nIf you are or know any high-volume schedulers with complicated needs (recruiting/staffing firms, sales teams, law firms, founders etc.), we’d love to hear from you and for you to try Vela.\n\nVisit [**tryvela.ai**](http://tryvela.ai) or email us directly at [**founders@tryvela.ai**](mailto:founders@tryvela.ai)",
        "url": "https://www.ycombinator.com/launches/PNn-vela-ai-scheduling-that-adapts-to-how-you-work",
        "votes": 17,
        "created_at": "2026-02-06T16:58:43.348Z"
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    "name": "MochaCare",
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    "website": "https://www.mochacare.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "MochaCare is an agentic management service for care organizations. We handle hiring, scheduling, and client intake end-to-end so our partners can focus on growth.",
    "one_liner": "Agentic Management Service for Care Organizations",
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    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1771654500,
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        "user_id": 570409,
        "full_name": "Nicolas Walker",
        "title": "Founder/CEO",
        "founder_bio": "BSCS, MSCS @ Stanford. Focused on AI/HCI.\n\nPreviously worked at\n- Linktree: product engineering & growth experimentation\n- Spotify: personalization and product\n- Amazon (AWS): software engineering, data\n- Microsoft (Azure): software engineering, IoT\n\nI'm a former caregiver and have led a community service org with 300+ volunteers.\n\nI'm very grateful to be working in the care industry. My grandparents raised me as a child and giving back to our aging population is incredibly fulfilling for me.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/nick-h-walker",
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      {
        "user_id": 1148838,
        "full_name": "Pranav Uppiliappan",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder @ MochaCare | Masters in CS @ UIUC \n\n- AI Agents @ GoDaddy\n- ML Research Fellow @ UCSB\n- SWE @ DecisionMinds\n\nI spent eight years doing companion care for neurodiverse people and worked with US Congress to support legislation in the space. My grandparents also played a big role in my life (my grandpa taught me the times table).\n\nNow I'm building MochaCare — the AI-native management service that supports care organizations that support older folks and neurodiverse people.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/pranav-uppiliappan/",
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      {
        "id": 94564,
        "title": "Founding Product Engineer",
        "url": "https://www.ycombinator.com/companies/mochacare/jobs/uLiequC-founding-product-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $220K",
        "equity_range": "0.50% - 1.50%",
        "experience": "1+ years",
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    "launches": [
      {
        "id": 98296,
        "title": "MochaCare – Grow Your Home Care Agency with Human Virtual Assistants Supercharged by AI",
        "tagline": "Home care's growth service",
        "body": "**MochaCare** ([mochacare.com](http://mochacare.com)) unlocks home care agency growth with human virtual assistants supercharged by AI. We take hiring, scheduling, or both off agencies' plates so they can spend less time drowning in ops and more time building relationships in their communities. \\\n\\\nEverything we do generates data insights that surface growth opportunities, from referral leads to sales enablement during intake calls.\n\n![uploaded image](/media/?type=post&id=98296&key=user_uploads/570409/6292e9a2-6ebc-4f33-9cf0-1e60f6c1ca3f)\n\n\\* Note: a home care agency is a company that hires and manages caregivers on behalf of people seeking care. These caregivers typically work with clients in their homes or in facilities.\n\nWe personally embed into the agencies we work with. Our AI hiring and scheduling agents handle most tasks for us, but we are always monitoring the feed and jumping in if emergencies arise.\n\nNick goes to bed at 3:30am and Pranav wakes up at 3:30am to guarantee 24/7 coverage.\n\n**What problem are you solving?**\n\n1. **Home care agency operators** want to deliver quality care to their communities, not to stay glued to their phones 24/7 handling hiring and scheduling. They’re burning out and are unable to grow their businesses.\n2. **Families** want reliable care. They need to know that the best caregivers are going to show up for their loved ones at the right time and need home care agencies to be energized so they can deliver their best care. Scheduling and hiring mishaps erode the quality of care and cause service failures for these families.\n3. **Caregivers** want work quickly and don’t want to deal with manual data entry. They needed their next paycheck yesterday. Our hiring agents (including AI interviewers and interview coordinators) get them through the process swiftly. Once hired, they need to know about the best shifts for them. Our scheduling agents alert them to these and help them focus more on care and less on manual tasks like shift note entry.\n\n**Why are you working on this?**\\\nWe were both raised by our grandparents who gave the world to us. We want to live in a world where they receive the same quality care and attention that they gave us growing up. Currently, there’s a gap between that world and where we are today.\n\nWe’ve seen this first-hand. Home care operations can fall short—Nick’s grandma recently started receiving home care and had no caregiver show up on day one. We don’t want this to happen again.\n\nOn the other side of the equation, we’ve seen agency owners with the largest hearts feel hopeless about their work. We want to uplift these people and allow them to reclaim their time, get back to delivering care, and start growing their agencies.\n\nBy helping agencies deliver care more effectively, we protect the superheroes who care for our communities and the people who they care for, like our grandmas!\n\n**Our ask:**\\\nIntros to home care agencies, home health agencies, or anyone who advises seniors on care options (since these people typically know home care agencies).\n\nThank you for taking the time to read this!",
        "url": "https://www.ycombinator.com/launches/PZQ-mochacare-grow-your-home-care-agency-with-human-virtual-assistants-supercharged-by-ai",
        "votes": 8,
        "created_at": "2026-02-28T17:24:03.310Z"
      }
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    "id": 31271,
    "name": "VOYGR",
    "slug": "voygr",
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    "website": "https://voygr.tech",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "VOYGR is a better maps API every agent and AI app will need. Google says '4.2 stars, open till 10 – VOYGR knows the chef left, wait times doubled, and locals moved on. Our intelligent local search combines accurate place data with fresh web context – news, articles, and events. We expand beyond 10-15 map attributes into infinite, queryable place profiles, enabling agents to reason and act in the real world.\r\n\r\nMaps are no longer browsed – LLMs/agents use them to reason and act. 20M+ apps/websites, up to 40% of search queries, and 20% of LLM prompts need local context. \r\n10-15 attributes per place are not enough for AI. Places change constantly - restaurants close, hours change, businesses move. LLMs struggle with semantic queries “Specialty coffee shops in SF with Wi-Fi, popular with YC founders”. Agents cannot reliably “parse half the internet” - they need real-world ontology\r\n\r\nWe’re experienced builders in maps, search, and ML to solve this. Vlad knows this space inside and out – he worked on the Google Maps APIs GTM, plus firsthand customer experience from building in ridesharing and travel. Yarik has spent over a decade leading ML/search teams at Apple, Google, and Meta. \r\n\r\nGoogle Places alone is a $XXB/Yr monopoly. Agents turn it into a transactional layer opportunity for local commerce and ads.",
    "one_liner": "Real-world place intelligence for AI apps and agents",
    "team_size": null,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1769793909,
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    "url": "https://www.ycombinator.com/companies/voygr",
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    "city": "San Francisco",
    "country": "US",
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      "name": "Tyler Bosmeny",
      "url": "https://www.ycombinator.com/people/tyler-bosmeny"
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      {
        "user_id": 325375,
        "full_name": "Vlad Baskakov",
        "title": "Founder/CEO",
        "founder_bio": "Vlad is the co-founder and CEO of VOYGR. He brings firsthand experience from Google Maps, where he led Product Strategy and GTM, bootstrapping new API products, shaping Maps–Gemini data sharing, and driving key improvements in merchant experience and offline ads. He has 15+ years of Growth and GM experience across mapping and its core markets – ridesharing and travel. He previously worked at McKinsey and holds an MBA from Harvard.",
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      {
        "user_id": 2548451,
        "full_name": "Yarik Markov",
        "title": "Founder/CTO",
        "founder_bio": "CTO, 20 years in tech, 10+ years of leading Infra/ML/Search at Google/Meta/Apple",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/yarik-markov-b40b8341/",
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        "id": 93490,
        "title": "Founding Product Engineer",
        "url": "https://www.ycombinator.com/companies/voygr/jobs/FYeofGm-founding-product-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $200K",
        "equity_range": "0.50% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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      {
        "id": 122247,
        "title": "PlaceCall by VOYGR – The phone is the last API",
        "tagline": "Find the right businesses. Call them in parallel. Get answers, quotes, and bookings – all through one API.",
        "body": "Hey everyone 👋 We are Vlad and Yarik, founders of[ VOYGR](https://voygr.tech/), building tools for apps and agents to engage with local businesses. \n\nWe created[ PlaceCall](https://voygr.tech/placecall/) so apps and AI agents can call US businesses and get things done. Give it phone numbers and a task in plain English - or describe what you need, and it finds businesses to contact. PlaceCall navigates phone menus, waits on hold, talks to the business, and returns a structured outcome, transcript, and recording.\n\n<https://youtu.be/leGYyjSV6Bc>\n\n☎️ **The problem**\n\nWe previously worked on Google Maps and Search, where we saw how hard it is to keep business information current. At VOYGR, we kept running into the same problem: sometimes the only way to verify whether a business is open is to call. So we built PlaceCall.\n\nOn July 4, we were driving through Portland looking for dinner. Google Maps said “Holiday hours may vary.” We tried AI assistants (Poke was trending then), but they couldn’t confirm which restaurants were open and taking walk-ins. Our own API found 15 sushi or Thai restaurants and called them in parallel. **Two confirmed they were open and taking walk-ins. One was marked closed on Google Maps.** Your app can find a restaurant, but someone still has to call.\n\nThis is the problem we kept seeing. “Are you showing the game tonight?” “Are you accepting new patients?” “Do you have this collectible in stock?” These answers often live with whoever picks up the phone.\n\n✅ **Why PlaceCall?**\n\n* **Task in, outcome out.** Describe what you need in plain English – no agent to build or configure. Get a structured outcome + transcript + recording.\n* **Parallel calls.** Contact multiple businesses at once to find availability or compare quotes.\n* **Discovery built in.** Don’t have phone numbers? PraceCall recommends the best venue, service, or vendor.\n\n**💻What developers are building**\n\nAt our hackathon, developers used PlaceCall to:\n\n* Check whether doctors were accepting new patients.\n* Get tire quotes from local shops.\n* Find stores carrying specific collectibles.\n* Run short phone surveys.\n\nSince then, we’ve secured pilots with **AI business assistants across travel, healthcare, and service dispatch.** They often need both parts: finding the right businesses and handling tasks over the phone.\n\n**💻Try it - first 250 calls free**\n\nUse PlaceCall through the API or connect your agent via MCP.\n\nSetup guide:[ ](https://github.com/voygr-tech/placecall)[**github.com/voygr-tech/placecall**](http://github.com/voygr-tech/placecall) or [**voygr.tech/placecall/**](http://voygr.tech/placecall/)\n\nMCP endpoint:[ **https://api.voygr.tech/mcp**](https://api.voygr.tech/mcp)\n\n**🤝 Our ask**\n\nTry PlaceCall on a real task and tell us what worked, what failed, and what’s missing. Building an app or agent that needs to call businesses? We’d love to hear what you’re building:\n\n**📩 [founders@voygr.tech](mailto:founders@voygr.tech)**\n\n**🌐 [voygr.tech](http://voygr.tech)**\n\n![uploaded image](/media/?type=post&id=122247&key=user_uploads/325375/c118df4b-4ab8-4dd3-b20a-de636aeed8ab)\n\n",
        "url": "https://www.ycombinator.com/launches/Vnj-placecall-by-voygr-the-phone-is-the-last-api",
        "votes": 104,
        "created_at": "2026-10-15T20:12:23.191Z"
      },
      {
        "id": 97389,
        "title": "VOYGR: Validate & enrich your place data at scale",
        "tagline": "VOYGR delivers comprehensive, up-to-date information about places and local businesses 🌍",
        "body": "Hey everyone 👋\\\nWe’re Vlad and Yarik, founders of VOYGR.\n\nHave you ever asked ChatGPT for a restaurant recommendation, only to have it suggest a place that hasn’t been open in years?\n\nVOYGR is the most accurate API for companies to validate and enrich their place records at scale. We deliver comprehensive, up-to-date information about places and local businesses for AI apps, agents, and analytics. We also offer far richer place attributes than standard mapping APIs (for example, which sauna Justin Bieber frequents).\n\n<https://youtu.be/Q8-SY24490o>\n\n👥 **Team**\\\nVlad knows this space inside and out – he worked on the Google Maps APIs GTM, plus firsthand customer experience from building in ridesharing and travel. Yarik has spent over a decade leading ML/search teams at Apple, Google, and Meta.\n\n❌ **The problem**\\\nReal-world interactions rely on mapping data: 15M+ websites, 40% of search queries, and up to 20% of LLM prompts need local context. Yet even a simple restaurant recommendation often fails: the place may no longer exist, there’s no menu-level search, or – god forbid – you need to ask something nuanced (“what’s available that’s gluten free?”).\n\nThe gap is place data – it goes stale, and the attributes are shallow. Google Maps API comes with strict terms, but companies need flexible access, plus analytics and the ability to match against proprietary data.\n\n✅ **Our solution**\\\nVOYGR keeps place data accurate and current at scale. We confirm what’s live, resolve inconsistencies, and combine rich, fresh web context like news, articles, and events. \n\n1. **Place validation & operating status** – Confirm a place exists and is currently operating. We detect discrepancies, rebrands, and closures.\n\n   ![uploaded image](/media/?type=post&id=97389&key=user_uploads/325375/d5166513-44d4-48ab-9110-038e33ccf735)\n\n2. **Place data enrichment** – Populate and continuously enrich place records using web, social, and authoritative data sources, from foundational attributes (address, category, contacts, web presence) to operating data (hours, features, amenities, etc.).\n\n   ![uploaded image](/media/?type=post&id=97389&key=user_uploads/325375/a03fce95-2f7b-4999-8781-b792590f5a6b)\n\n\n🎯 **Who it’s for**\\\nTeams with large-scale place data and real-world ops: mapping, geospatial analytics, transportation & logistics, search/discovery apps. We support a broad range of industry workflows: transaction enrichment for banks and issuers, property indexing for real estate, site selection for retail, sales territory planning, ads measurement, and more.\n\n🤝 **Our ask**\\\nWe’re looking for customers and design partners who have place datasets and high freshness requirements. If you’re building anything where “local” matters, we’d love to talk!\n\n📩 [founders@voygr.tech](mailto:founders@voygr.tech)\\\n🌐 [voygr.tech](http://voygr.tech)\n\n**Maps tag places** – **VOYGR understands.**\n\n![uploaded image](/media/?type=post&id=97389&key=user_uploads/325375/69faf142-ab22-4eda-b7ac-7f273e2e4492)\n\n",
        "url": "https://www.ycombinator.com/launches/PKn-voygr-validate-enrich-your-place-data-at-scale",
        "votes": 42,
        "created_at": "2026-02-02T15:42:27.355Z"
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    "id": 31278,
    "name": "Zymbly",
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    "batch": "Winter 2026",
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    "regions": [
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      "Europe"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/zymbly",
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    "country": "GB",
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      "name": "Jared Friedman",
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        "user_id": 1985014,
        "full_name": "Ben Jacob",
        "title": "Founder/CEO",
        "founder_bio": "Ben is the co-founder and CEO of Zymbly. Before Zymbly, Ben led Applied AI at Multiverse (backed by GV, General Catalyst, and Index). Ben started his career working with airlines on operational improvement. He worked with one of the world's largest airlines to recover their operations after the pandemic.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ben-jacob-a49a3165",
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      {
        "user_id": 3204552,
        "full_name": "Robbie Bourke",
        "title": "Founder",
        "founder_bio": "Robbie is the co-founder of Zymbly. \nAt Zymbly, he is building AI Agents to automate admin and troubleshooting for maintenance technicians.\nRobbie has spent 25 years in aviation as an executive, operator, engineering, investor and advisor. He is a qualified Aeronautical Engineer who led design teams at Airbus, was Head of Aircraft Maintenance at Virgin Atlantic, and a Partner in Oliver Wyman Aviation & Aerospace practice helping Airlines and MRO's become more efficient. ",
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        "linkedin_url": "https://www.linkedin.com/in/robbie-bourke-775494b/",
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      {
        "user_id": 634734,
        "full_name": "Azmat Habibullah",
        "title": "Founder/CTO",
        "founder_bio": "Azmat is co-founder and CTO of Zymbly. He holds a Master's in Mathematics from Imperial College London, where his research focused on the geometry of quantum mechanics. He started hacking at the age of 11 and spent 4 years building ML models and software for enterprises in highly regulated industries. He's also a competitive weightlifter and aspiring polyglot.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/azmat-habibullah",
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        "id": 94540,
        "title": "Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/zymbly/jobs/ueWPYCh-forward-deployed-engineer",
        "location": "San Francisco, CA, US / London, England, GB",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $180K",
        "equity_range": "0.50% - 1.25%",
        "experience": "1+ years",
        "visa": "US citizenship/visa not required",
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      {
        "id": 97433,
        "title": "Zymbly: The Copilot for Aircraft Maintenance",
        "tagline": "Doubling aircraft technician productivity through agents that do the busy work",
        "body": "**Ben, Azmat,** and **Robbie** here; co-founders of **Zymbly (YC W26)**. \n\nZymbly doubles productivity for aircraft technicians with AI. Our agents automate troubleshooting and paperwork. Technicians get to spend their time doing the work they actually signed up for; maintaining planes.\n\n<https://www.youtube.com/watch?v=zlu5IhcfeeA>\n\n**The Problem:**\n\nAirlines have a maintenance capacity bottleneck. It is holding back growth.\n\nIn North America alone, there is a shortage of 43,000 technicians forecast by 2027 (25% shortfall). Boeing estimates 710,000 new technicians are needed in the next 20 years.\n\nTechnicians are their most precious resource. Yet, technicians lose half their day to:\n\n1. **Troubleshooting:** finding the information needed to fix issues and replace parts can take hours as the information is spread across tens of thousands of pages.\n2. **Paperwork:** Any work that is performed needs to be rigorously documented according to pre-defined standards\n\nWe hear _“It takes me 5 mins to change a bulb, but 45 minutes to do the paperwork”_ and similar sentiments every day.\n\n**How Zymbly Solves It:**\n\nZymbly’s voice-first agents surface answers across manuals, local procedures and historical defects. Zymbly surfaces the right solutions and orders the correct parts. It turns voice notes into compliant documentation and audits actions to ensure technicians haven't missed critical steps.\n\n**Who We Serve:**\n\nOur customers are maintenance teams either inside airlines, or working for airlines.\n\nOur users are the technicians who keep your planes safe. They prefer to spend their time working on the aircraft, not on admin.\n\nWe’ve developed our platform through a design partnership with a major global airline.\n\n**About Us:**\n\n![uploaded image](/media/?type=post&id=97433&key=user_uploads/1985014/00193636-6c7c-43d9-af51-fc4641dd1076)\n\nRobbie Bourke was Head of Maintenance at Virgin Atlantic and a lead engineer at Airbus.\n\nBen Jacob worked with airlines to recover their operations post-pandemic and led Applied AI at Multiverse (backed by GV/GC/Index).\n\nAzmat Habibullah combines hacking from age 11 with building enterprise software in regulated industries.\n\n**Our Ask:**\n\nIf you work in aviation maintenance or know someone who does we would love to get connected! \n\n[ben@zymbly.com](mailto:ben@zymbly.com)",
        "url": "https://www.ycombinator.com/launches/PLV-zymbly-the-copilot-for-aircraft-maintenance",
        "votes": 26,
        "created_at": "2026-02-03T03:58:11.565Z"
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    "id": 31285,
    "name": "Brumby (Formerly GrazeMate)",
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    "website": "https://brumby",
    "all_locations": "Sydney, NSW, Australia",
    "long_description": "Brumby builds autonomous drones that herd cattle.\r\n\r\nOn command, our drones fly to a paddock, position themselves around the mob, and move them where they need to go. What used to take a full day of helicopters, motorbikes, and horses now runs on a schedule.\r\n\r\nWe work with some of the largest cattle ranches in the world. While the drones are herding, they're also estimating animal weights, measuring grass biomass, monitoring water levels, and flagging sick animals. We're building physical AI that lets a grazier manage thousands of head across millions of acres from their phone.",
    "one_liner": "Robot Cowboys that Herd Cattle with AI Drones",
    "team_size": 3,
    "industry": "Industrials",
    "subindustry": "Industrials -> Agriculture",
    "launched_at": 1768433444,
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      "Drones",
      "Computer Vision",
      "Agriculture"
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2026",
    "status": "Active",
    "industries": [
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      "Agriculture"
    ],
    "regions": [
      "Australia",
      "Oceania",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
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    "year_founded": 2025,
    "city": "Sydney",
    "country": "AU",
    "linkedin_url": "https://www.linkedin.com/company/105884860",
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      "name": "Tyler Bosmeny",
      "url": "https://www.ycombinator.com/people/tyler-bosmeny"
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      {
        "user_id": 2933487,
        "full_name": "Sam Rogers",
        "title": "Founder/CEO",
        "founder_bio": "CEO of Brumby.\n\nSpent half my life on a cattle farm, and the other half building robots.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/samson-rogers/",
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    "jobs": [
      {
        "id": 112676,
        "title": "Remote Pilot",
        "url": "https://www.ycombinator.com/companies/brumby/jobs/4L3nppN-remote-pilot",
        "location": "Sydney",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$85K - $150K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
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      {
        "id": 112677,
        "title": "Embedded Systems Engineer",
        "url": "https://www.ycombinator.com/companies/brumby/jobs/d4z6kbg-embedded-systems-engineer",
        "location": "Sydney",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$100K - $150K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": [
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          "C++",
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      {
        "id": 112678,
        "title": "Operations Associate",
        "url": "https://www.ycombinator.com/companies/brumby/jobs/n8GBsUB-operations-associate",
        "location": "Sydney",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
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        "experience": "1+ years",
        "visa": "US citizenship/visa not required",
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      {
        "id": 112679,
        "title": "Perception Engineer",
        "url": "https://www.ycombinator.com/companies/brumby/jobs/A0m4omK-perception-engineer",
        "location": "Sydney",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$100K - $150K",
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        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
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          "Python",
          "Machine Learning",
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          "Computer Vision"
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      },
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        "id": 112680,
        "title": "Software Engineer",
        "url": "https://www.ycombinator.com/companies/brumby/jobs/ar7aJ98-software-engineer",
        "location": "Sydney",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$100K - $160K",
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        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
          "Amazon Web Services (AWS)",
          "iOS",
          "PostgreSQL",
          "Distributed Systems",
          "Terraform",
          "FastAPI"
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      {
        "title": "GrazeMate Raises $1.2 Million As 19-Year-Old CEO Automates Cattle Mustering",
        "url": "https://www.forbes.com.au/news/innovation/grazemate-raises-1-2-million-19-year-old-ceo-cattle-mustering/",
        "date": "Jan 13, 2026"
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      {
        "id": 97388,
        "title": "GrazeMate (Now Brumby): Drones that Herd Cattle",
        "tagline": "We build autonomous “robot cowboys” that help ranchers move and monitor cattle.",
        "body": "**TL;DR** - Ranchers can spend hundreds of thousands per year moving cattle between fields. GrazeMate builds autonomous drone software to guide cattle - doing the work of helicopters and motorbikes with AI that understands animal behaviour.\n\n<https://youtu.be/sIrM29ziVNU>\n\n**❌ The problem**\n\nI'm Sam. I grew up on my family's cattle station in Australia, where we move cattle on motorbikes, helicopters, and horseback. It took hours each day and &gt;$100k/year.\n\nIn the US, ranches spend anywhere from $10k–$1M per year and hours each day moving cattle just to keep them on fresh grass. It's expensive, risky, and hard to staff.\n\n**✅ The solution**\n\nGrazeMate's autonomous drones herd your cattle for you. What could take teams a full day now takes three clicks from a phone.\n\nOur system:\n\n* Finds your herd and guides them calmly to the next pasture\n* Uses AI that reads animal behaviour and applies pressure like an experienced stockman\n* Learns how your cattle respond and improves with every move\n\nWhy ranchers are switching:\n\n* More frequent moves → Better grazing, pasture use, and stocking rates\n* More affordable than traditional methods\n* Hours of herding → seconds on a phone\n* Real-time weight estimates, pasture data, and infrastructure insights\n\n![uploaded image](/media/?type=post&id=97388&key=user_uploads/2933487/a7e07817-bfde-4784-90ab-e4f9d16579b8)\n\n**🤠 Why us**\n\nMy family runs 6,000 head. I dropped out of robotics at University of Sydney after seeing both the challenges with modern ranching, and the capacity robotics has to help. Our team combines PhDs and engineers who grew up on ranches.\n\n**🙏 Our ask**\n\nWe're onboarding early partners. We’d be extremely grateful for introductions to:\n\n* Large grazing operations (US and beyond)\n* Ranch managers exploring rotational grazing\n* Industry leaders, cattle agents, feedlots, processors\n\nAnd if that’s you, schedule a demo on grazemate.com, or contact me at [sam@grazemate.com](mailto:sam@grazemate.com). I’d love to chat!",
        "url": "https://www.ycombinator.com/launches/PKm-grazemate-now-brumby-drones-that-herd-cattle",
        "votes": 30,
        "created_at": "2026-02-02T15:42:29.970Z"
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    "id": 31292,
    "name": "Aurorin CAD",
    "slug": "aurorin-cad",
    "former_names": [
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    "website": "https://aurorincad.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "There are 2 problems:\r\n\r\nThe first, CAD software is slow and the second, designing with it is a tedious process with many steps. Aurorin solves both of these problems by being a CAD software built from the ground up on a modern tech stack with AI at its heart.\r\n\r\nBuilding the CAD kernel lets us fully leverage AI while modernizing execution speed. Almost all existing CAD software (Solidworks, NX, Creo, Catia, Fusion 360, Onshape etc) use the same couple of underlying CAD kernels built in the 80's. It's common for these programs to take 4 hours to open a file.\r\n\r\nAurorin uses a custom parametric and B-Rep driven CAD Kernel built to take full advantage of modern CPUs and GPUs and be AI native.",
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    "team_size": 1,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1769109612,
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      "America / Canada"
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    "year_founded": 2026,
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    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/aurorin-cad/",
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        "user_id": 2811605,
        "full_name": "Michael Baron",
        "title": "Founder/CEO",
        "founder_bio": "Founder of Aurorin, 3x SpaceX intern, prev Apple Intern.\n\nBefore starting Aurorin, Michael worked on Raptor combustion simulation, Dragon Guidance, Navigation & Control, and Starshield flight software at SpaceX, as well as GPU driver performance at Apple.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/michael-andrew-baron/",
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      {
        "id": 92565,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/aurorin-cad/jobs/R3tKam9-founding-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $160K",
        "equity_range": "3.00% - 4.00%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
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        "id": 98144,
        "title": "Aurorin CAD - The Next Generation Mechanical CAD Software",
        "tagline": "Create in seconds what takes over 20 minutes in SolidWorks or NX",
        "body": "# \\*\\*\\*\\*\n\n**TL;DR**: New native CAD software with crazy fast execution speed and a tightly integrated agent to help engineers design way faster. Download for Mac or Windows at[ ](https://www.aurorincad.com/)<https://www.aurorincad.com>\n\n<https://youtu.be/BkNunCBk_3o>\n\nHey everyone, I’m [@Michael Baron](https://bookface.ycombinator.com/user/2811605), the founder of [@Aurorin CAD](https://bookface.ycombinator.com/company/31292), a new CAD software built from the ground up to fix 2 major problems:\n\n* CAD is really slow\n* CAD is tedious\n\n**No more tedious work**\n\nAurorin can create parts in seconds that takes 20 minutes with Solidworks.\n\nBuilding the CAD kernel from the ground up lets us create a much better AI interface than is possible in a traditional kernel. That is why we have decided to build a new kernel instead of using an existing one or making a plugin for existing software. This approach allows us to seamlessly combine traditional UI editing with a chat interface to design even highly complex parts at incredible speed.\n\n**Speed**\n\nIt’s common for existing software to take 4 hours to open CAD assemblies.\n\nAlmost all existing CAD software (Solidworks, NX, Creo, Catia, Fusion 360, Onshape etc) use the same couple of underlying CAD kernels built in the 80s.\n\nAurorin uses a custom parametric and B-Rep driven CAD Kernel built to take full advantage of modern hardware.\n\n**The team** \n\nBefore starting Aurorin, I worked at SpaceX on Raptor combustion simulation, Dragon guidance, navigation & control, and Starshield flight software. I also worked on GPU driver performance at Apple.\n\n**The Asks**\n\nDo you know a hardware company that wants to ship faster? We’re looking for more companies to use Aurorin for rapid prototyping alongside their existing CAD or make the switch for a much faster hardware development cycle.\n\nAre you a design engineer who’s annoyed with CAD? We’d love to hear your feedback on what we’re building.\n\nI’d really appreciate an email at [michael@aurorincad.com](mailto:michael@aurorincad.com)",
        "url": "https://www.ycombinator.com/launches/PWy-aurorin-cad-the-next-generation-mechanical-cad-software",
        "votes": 39,
        "created_at": "2026-02-24T18:07:44.660Z"
      }
    ]
  },
  {
    "id": 31293,
    "name": "Rainbrand",
    "slug": "rainbrand",
    "former_names": [
      "Bloom"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c555444a2d853513769feaea1a31560875f72134.png",
    "website": "https://rainbrand.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Rainbrand is the brand layer for agents. It turns a brand’s identity, guidance, and assets into shared context that agents and products can use. That context evolves with the brand, alongside the tools where it is created and managed.\r\n\r\nStarting with websites, social media, and files, Rainbrand develops and maintains versioned brand context. Through MCP or the API, connected agents and products can retrieve and update that context, then apply it to images, websites, slides, video, copy, and other brand work.\r\n\r\nWe’re an ai infra company making brand as operable as software.\r\n",
    "one_liner": "The brand layer for agents.",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1776275888,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/rainbrand",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/rainbrand.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/rainbrand",
    "x_url": "https://x.com/rainbrandai",
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    "primary_partner": {
      "name": "Pete Koomen",
      "url": "https://www.ycombinator.com/people/pete-koomen"
    },
    "founders": [
      {
        "user_id": 2440455,
        "full_name": "Ray Fitzgerald",
        "title": "Founder/CEO",
        "founder_bio": "Founder of Rainbrand - the brand layer for agents.\nRainbrand turns brand into infrastructure that any agent, app, or platform can call.\n\nBefore Rainbrand, I founded Lucid - an AI-native word processor.\nBefore that I worked at Inscribe (S18), where I built agents to prevent financial fraud.\n\nObsessed with product and organic growth.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ray-fitzgerald-86b451148",
        "x_url": "https://x.com/rincidium",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a358bd564a8f549ece1d35c546a8d4062ae10989.jpg"
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    "jobs": [
      {
        "id": 113897,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/rainbrand/jobs/8eQxoBN-founding-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "AI engineer",
        "salary_range": "$140K - $200K",
        "equity_range": "0.50% - 3.00%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": [
          "TypeScript",
          "Search",
          "Next.js",
          "LLMs",
          "Vector Databases",
          "AI Agents"
        ]
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 102368,
        "title": "Bloom – the brand layer for agents",
        "tagline": "Bloom turns brand into infrastructure that any agent, app, or platform can call.",
        "body": "**Bloom — the brand layer for agents**\n\nAI has unlocked an abundance of software. But software is just one input into building a product and running a business - and as it's gotten cheap and fast, new limiting factors have emerged. Brand is one of them. Unlike software, brand isn't operable: it's scattered across decks, products, and tribal knowledge. There’s no _system_ for brand, and nothing can actually _call_ it, and so most of what gets shipped is off-brand by default.\n\nWe think brand is becoming infrastructure: one canonical source of truth that any system can query. Bloom is that brand layer - we’re creating the systems to make brand as wieldable as code.\\\n<https://www.youtube.com/watch?v=CpmsCzswCSY>\n\n**How it works**\n\n1. **Ingest.** Point Bloom at everything that defines your brand: website, decks, Figma, socials, codebases, and more.\n2. **Systemise.** Bloom unifies it into one brand system - a canonical ontology of your brand.\n3. **Deploy anywhere.** Call that system from every surface and generate every asset you need - ads, social, product shots, mockups, and full campaigns.\n\n**Built for agents** \\\nBloom is designed to be used by agents, rather than humans. The primitives (API, MCP, and soon CLI) have excellent _agent ergonomics_ making your brand callable from everywhere:\n\n* **Agents:** marketing agents running campaigns, coding agents creating landing pages, e-commerce agents running brands - all calling Bloom over MCP.\n* **Products:** use our API as the brand layer for any products that require brand context or assets for their customers.\n* **Brand and marketing operations:** agencies and marketing teams call Bloom to automate on-brand asset creation inside their existing stack.\n* **Claude:** use the Claude connector to create on-brand assets with all of your existing context.\n\n**Traction** - We launched v1 in December and went [viral](https://x.com/rincidium/status/1995946528343818656?s=20). Since then we’ve generated over 175,000 on-brand assets for our customers.\n\n![uploaded image](/media/?type=post&id=102368&key=user_uploads/2440455/ad3ce037-7d78-4314-984d-80ca741181e8)\n\n**Our ask**\n\nWe'd love to hear from:\n\n* **Agents and product builders** who leverage brand context or need to produce on-brand assets.\n* **Brands and agencies** running marketing at scale\n\nReach out: [ray@trybloom.ai](mailto:ray@trybloom.ai)\n\nTry it: [trybloom.ai](http://trybloom.ai)\n\n![uploaded image](/media/?type=post&id=102368&key=user_uploads/2440455/f3b57cca-b17f-437a-8590-7ffe691124be)\n\n",
        "url": "https://www.ycombinator.com/launches/Qd6-bloom-the-brand-layer-for-agents",
        "votes": 55,
        "created_at": "2026-06-01T14:23:38.273Z"
      }
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  },
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    "id": 31294,
    "name": "Dispatch",
    "slug": "dispatch",
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    "website": "https://dispatch.space/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Dispatch is building refurbishable reentry vehicles that host and return payloads for companies making ultra-high-value materials (semiconductors, biotech, and pharma) that can only be manufactured in space. Right now, these companies have no practical way to manufacture and get their products back to Earth. We solve this bottleneck.\r\n\r\nWe just returned from the Mojave Desert testing our first full-scale reentry heat shield designed to protect the satellite as it returns from space at Mach 20+, built in an apartment for 100x cheaper than competitors. To test, we held it behind a rocket engine to simulate the forces of atmospheric reentry. IT WORKED! Watch here - https://youtu.be/dhlQmnIoptg\r\n\r\nTo scale, we anchor permanent infrastructure in orbit - building high power Autonomous Space Stations designed from day one for \"lights-out\" manufacturing serviced by the reentry vehicles.",
    "one_liner": "Satellites for Manufacturing in Space",
    "team_size": 4,
    "industry": "Industrials",
    "subindustry": "Industrials -> Aviation and Space",
    "launched_at": 1773166639,
    "tags": [
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
      "Industrials",
      "Aviation and Space"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/dispatch",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/dispatch.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/dispatch-space",
    "x_url": "https://x.com/dispatchspace",
    "fb_url": null,
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    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d93a4cb68bc153f52d09c71b45093cc62ba91a62.png",
    "app_video_url": null,
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    "company_photos": [],
    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
    },
    "founders": [
      {
        "user_id": 564908,
        "full_name": "Payton Case",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder & CEO at Dispatch | Building satellites for in space manufacturing\n\nFormerly Astranis office of the CTO engineer driving everything from spacecraft architecture, to production, to their most critical mission operations.\n\n\nhttps://x.com/ngmxyz/status/1867769725415305593?s=19",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/paytoncase/",
        "x_url": "https://x.com/dispatchspace",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a2c7f68f1bf8be75821921f8a5399071e1026eef.jpg"
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    "jobs": [
      {
        "id": 98190,
        "title": "Mechanical Engineer",
        "url": "https://www.ycombinator.com/companies/dispatch/jobs/7NBJCKG-mechanical-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Mechanical",
        "salary_range": "$100K - $170K",
        "equity_range": "0.25% - 2.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 98802,
        "title": "Aerothermal Engineer",
        "url": "https://www.ycombinator.com/companies/dispatch/jobs/ChtwGs9-aerothermal-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Hardware",
        "salary_range": "$100K - $170K",
        "equity_range": "0.25% - 2.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 110102,
        "title": "GNC Engineering Intern",
        "url": "https://www.ycombinator.com/companies/dispatch/jobs/JSbZ7qT-gnc-engineering-intern",
        "location": "San Francisco, CA, US",
        "type": "Internship",
        "role": "Engineering",
        "role_type": "Hardware",
        "salary_range": "$30 / hourly",
        "equity_range": "",
        "experience": null,
        "visa": "US citizen/visa only",
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      },
      {
        "id": 110103,
        "title": "Mechanical Engineering Intern, Spring 2027",
        "url": "https://www.ycombinator.com/companies/dispatch/jobs/506bLfE-mechanical-engineering-intern-spring-2027",
        "location": "San Francisco, CA, US",
        "type": "Internship",
        "role": "Engineering",
        "role_type": "Mechanical",
        "salary_range": "$30 / hourly",
        "equity_range": "",
        "experience": null,
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 110104,
        "title": "Electrical Engineering Intern",
        "url": "https://www.ycombinator.com/companies/dispatch/jobs/Rba7TJq-electrical-engineering-intern",
        "location": "San Francisco, CA, US",
        "type": "Internship",
        "role": "Engineering",
        "role_type": "Electrical",
        "salary_range": "$30 / hourly",
        "equity_range": "",
        "experience": null,
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 110105,
        "title": "Thermal Engineering Intern",
        "url": "https://www.ycombinator.com/companies/dispatch/jobs/XfQGhOI-thermal-engineering-intern",
        "location": "San Francisco, CA, US",
        "type": "Internship",
        "role": "Engineering",
        "role_type": "Mechanical",
        "salary_range": "$30 / hourly",
        "equity_range": "",
        "experience": null,
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 110106,
        "title": "Flight Software Engineering Intern",
        "url": "https://www.ycombinator.com/companies/dispatch/jobs/tGYjKtS-flight-software-engineering-intern",
        "location": "San Francisco, CA, US",
        "type": "Internship",
        "role": "Engineering",
        "role_type": "Embedded systems",
        "salary_range": "$30 / hourly",
        "equity_range": "",
        "experience": null,
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 110465,
        "title": "Thermal Engineer",
        "url": "https://www.ycombinator.com/companies/dispatch/jobs/ttst5vc-thermal-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Mechanical",
        "salary_range": "$100K - $170K",
        "equity_range": "0.25% - 2.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
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    ],
    "news": [],
    "launches": [
      {
        "id": 99179,
        "title": "Dispatch | Satellites for Manufacturing In Space",
        "tagline": "Bringing things back from space shouldn't cost more than sending them up",
        "body": "**Gravity is an Invisible Constraint on Manufacturing.**\n\nSome of the most valuable materials we can make from perfect semiconductors, to novel pharmaceuticals, to 3D printed organs can only be manufactured in microgravity. Space unlocks an entirely new class of products impossible to create on Earth but the infrastructure to manufacture at scale in space and return the products to Earth doesn't exist yet.\n\nWe're Payton and Andrew. We spent 4 years together at Astranis building geostationary communications satellites. We know how to build hardware that survives the extreme environments of space. Now we're building the vehicles to bring it back.\n\n**We just got back from the Mojave Desert** where we tested our first full-scale reentry heat shield, designed to protect a spacecraft returning from orbit at Mach 20+. We built it in an apartment for **100x cheaper than competitors**, held it behind a rocket engine to simulate atmospheric reentry and it worked as designed! <https://www.youtube.com/watch?v=tRRwlnKFt3s>\n\n**The Problem: Getting things back from space is harder and more expensive than sending them up.**\n\nCheaper launch costs and new heavy launchers like Starship and New Glenn are driving a boom in space manufacturing. Pharmaceutical, semiconductor, and biotech companies are racing to produce in microgravity. But return is the bottleneck:\n\n\\- NASA pays **2x more** to bring cargo down from the ISS than to send it up\n\n\\- Human-rated vehicles add massive overhead costing **over $100,000/hr** for astronaut time\n\n\\- Return slots from the ISS are limited to a handful of Dragon missions per year, on\n\n  NASA's schedule, not yours\n\n\\- The ISS is aging infrastructure with an uncertain future and no clear successor\n\nAccess to orbit is cheaper than ever. Return is the unsolved problem. That's where we come in.\n\n**What We're Building:**\n\n**Phase 1: Reentry Vehicles (mid-2027 first flight)**\n\nRefurbishable, autonomous reentry vehicles designed for mass manufacturing. Customers manufacture products inside while in orbit. We return them to Earth, swap the heat shield, and fly again. No astronauts, no ISS, no 6-month wait. Dedicated missions on your schedule.\n\n![uploaded image](/media/?type=post&id=99179&key=user_uploads/564908/60dbaefc-95c5-4f64-8d26-0dbffe3404d1)\n\n**Phase 2: Uncrewed Space Stations**\n\nTo scale space manufacturing, you need permanent infrastructure in orbit. Serviced by our reentry vehicles. We're building high-power uncrewed space stations designed from day one for lights-out manufacturing unburdened by human life support, serving as a shared utility grid so payloads can leverage massive power without carrying the mass and complexity of their own high power bus.\n\n![uploaded image](/media/?type=post&id=99179&key=user_uploads/564908/4911d2cd-a89b-496d-b8f3-3c89d3763f3d)\n\nThe ISS proved that manufacturing in microgravity works. But it was built for humans, and everything that rides on it reflects that in their cost, schedule, and complexity. The next generation of space infrastructure doesn't need to. Advancements in autonomy let us build cargo-only vehicles from the ground up: cheaper, faster, and scalable. The space economy needs its own industrial layer and we’re here to build it.\n\n**We'd love to hear from you!** If you're building something that needs microgravity, dealt with reentry or thermal protection systems, or if you just have strong opinions about how space logistics should work - let's talk. <https://dispatch.space>",
        "url": "https://www.ycombinator.com/launches/Pnf-dispatch-satellites-for-manufacturing-in-space",
        "votes": 34,
        "created_at": "2026-03-31T14:12:32.835Z"
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  },
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    "id": 31299,
    "name": "Wayco",
    "slug": "wayco",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/00d9df2c4df7159bbd9cfe29bf68638efb2f8ed3.png",
    "website": "https://wayco.ai",
    "all_locations": "New York City, NY, USA",
    "long_description": "Wayco is building a unified data intelligence layer for medical treatment of legal cases. From the first intake to instant settlement.",
    "one_liner": "AI operator for medlegal cases",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1770576314,
    "tags": [],
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2026",
    "status": "Active",
    "industries": [
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      "Infrastructure"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
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    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/wayco",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/wayco.json",
    "year_founded": 2025,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/in/iqbolkhoja/",
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    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
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    "founders": [
      {
        "user_id": 2653252,
        "full_name": "Iqbol Temirkhojaev",
        "title": "Founder/CEO",
        "founder_bio": "I had my first VC-backed startup at the age of 13. I had my first exit (acquisition) when I was 14 - to the United Nations. Got a software patent when I was 15. \n\nI started competitive coding since 11 (yes, it was 2017!) - becoming 3x Olympiad gold medalist. And ultimately retired my mom at the age of 18.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/iqbolkhoja/",
        "x_url": "https://x.com/iqbol_t",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0baef6325bc27c722d21777a4e68778d2a76a91c.jpg"
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    "jobs": [
      {
        "id": 92560,
        "title": "Founding Full-Stack SWE",
        "url": "https://www.ycombinator.com/companies/wayco/jobs/2D01QKW-founding-full-stack-swe",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$100K - $150K",
        "equity_range": "",
        "experience": "3+ years",
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  {
    "id": 31311,
    "name": "Cardinal",
    "slug": "trycardinal-ai",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d43ea540df5b52aa22859c18efe346d103078bc1.png",
    "website": "https://trycardinal.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Hey YC! We're Devi and Jianna - the founders of Cardinal.\r\n\r\nHey guys! We’re launching Cardinal publicly today - co’s like Mintlify, Deepgram, Giga, etc. use us to build revenue agents & design how they sell. \r\n\r\nThe Problem\r\n\r\n“Spray and Pray” outbound is dead. The best teams at outbound do it with extreme precision. Finding things in common with your customers, staying in touch with them through their content, mapping inbound from signups and ads, tracking website visitors, monitoring various signals, etc. This sounds great in theory, but in reality involves stringing together 10+ tools and hiring a GTM engineer.\r\n\r\nThat’s where Cardinal comes in.\r\n\r\nCardinal is an AI platform for precision outbound. Our agents can create workflows that normally require the work of fulltime GTM engineers.\r\n\r\nIf you're a founder or sales leader looking to bring AI into your sales org, would love to chat!",
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        "body": "**Hey YC! We're Devi and Jianna - the founders of Cardinal.**\n\n**TL;DR:** Cardinal is the AI platform for precision outbound. We run outbound for 40+ YC companies, like Mintlify, Greptile, and Luminai.\n\n**The Problem**\n\n“Spray and Pray” outbound is dead. The best teams at outbound do it with extreme precision. Finding things in common with your customers, staying in touch with them through their content, mapping inbound from signups and ads, tracking website visitors, monitoring various signals, etc. This sounds great in theory, but in reality involves stringing together 10+ tools and hiring a GTM engineer. \n\nThat’s where Cardinal comes in. \n\n**What can you do with Cardinal**\n\nCardinal is an AI platform for precision outbound. Our agents can create workflows that normally require the work of fulltime GTM engineers. \n\n**🔍 Find the perfect leads:** Whether you need to map your entire TAM, enrich folks going to a conference, invite leads to a dinner you’re hosting, etc. Cardinal finds the most precise leads for you to reach out to.\n\n📡 **Monitor content from your customers:**  Our agents continuously track what your prospects are posting, sharing, and engaging with on social media, so you can stay up to date on what they are doing. \n\n✂️ **Snippets that write themselves** Cardinal generates hyper-specific snippets based on things you and your team have in common with your customers. \n\n⚙️ **Build full workflows** Design end-to-end outbound workflows across email and linkedin. \n\n📥 **Capture inbound too** Set up website visitors, product signups, social media likes and comments, Ad impressions, etc. → qualify it and add them to your sequences.\n\n**The Team**\n\nWe’re Devi and Jianna - we are 2x YC founders (S23, W26). Our last company, Leafpress, was an energy software company - we closed folks like Lindt, Honeywell, etc. from cold outbound. We’re Harvard and MIT CS alums. \n\n**Our Asks**\n\n**If you are a sales leader wanting to add agents to your workflow and finally build a strong outbound engine, please talk with us - we’d love to help.**\n\n -Devi and Jianna",
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        "body": "**Hey everyone – Devi and Jianna here** 👋🏼\n\nWe met while studying at MIT and Harvard, and our last company processed utility data at scale. The biggest bottleneck? OCR. It was terrible - especially for complex documents where preserving structure was critical. After years of wrestling with these OCR limitations, we decided to build something better. That became Cardinal.\n\n📃 **The Problem**\n\n Most enterprise knowledge is trapped in PDFs and other unstructured formats -  medical forms, contracts, invoices, insurance claims, financial statements, packing slips, etc. \n\nOCR is _not_ a solved problem:\n\n* LLMs hallucinate and can fabricate data\n* Annotations, checkmarks, and handwritten notes get ignored\n* Tables, charts, and images are dropped entirely\n* Layouts are mangled, breaking document structure and making the output unusable for code, retrieval, or downstream automation. Preserving the semantic meaning of the document is nearly impossible.\n\n\\\n🚀 **Our Solution**\n\nCardinal has 2 finetuned models. The first model, _Document-to-Markdown_, accurately converts even complex documents into clean, structured Markdown. The second model, _Markdown-to-Code_, then turns that Markdown into ready-to-use HTML, preserving the original formatting and hierarchy exactly.\n\nPut simply, we can help you:\n\n* Reliably extract structured data from the most complex PDFs\n* Preserve exact layouts for retrieval, search, and downstream LLM workflows\n* Convert charts into data, summarize images, and parse complex tables\n* Run natural language extractions for any field without brittle regex or templates\n\nFull Demo video: [https://youtu.be/RouYM1cKGXI](https://youtu.be/RouYM1cKGXI?feature=shared)\n\n🔗 **Demo** \\\nTry it [here](https://dashboard.trycardinal.ai/) - we’d love your feedback!\n\n🙏🏼 **Our Ask**\n\n**If you or your team works in enterprise and deals with complex document workflows, we’d love to chat.**\n\n**📅 Here’s our [Calendly](https://calendly.com/leafpress/demo-chat): Book time here or email us at [team@trycardinal.ai](mailto:team@trycardinal.ai).**",
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        "title": "Hedge: AI-native specialty insurance company",
        "tagline": "Helping brokers get faster and better coverage for their customers",
        "body": "**TLDR:** We help insurance brokerages get quotes faster and cheaper. We started as brokers, realized insurance is broken end to end, and are now building the plumbing to fix it.\n\nWe’re hiring across sales, ops, and engineering here in SF. [**Apply here**](https://www.workatastartup.com/companies/hedge)**.** \n\n### **The problem:**\n\nI started a YC-backed AI-native insurance brokerage because buying insurance sucked.\n\nWe thought the answer was building a better brokerage. But then we became brokers and realized we weren’t actually fixing the system.\n\nBrokers do important work. They help businesses navigate a messy market. But they don’t control the parts of the stack that determine speed, price, and coverage.\n\nEvery quote still depends on multiple layers of brokers, underwriters, carriers, reinsurers, MGAs, and wholesalers.\n\nEach layer is still manual. Someone re-enters the same information by hand, then emails it to another person in the chain who does the same.\n\nEven when brokers move fast, quotes still sometimes take days or weeks. Brokers hate this. Their customers hate it even more.\n\nWe realized the only way to fix this was to go full stack and rebuild the workflows ourselves.\n\n### **What we’re building:**\n\n[**Hedge**](https://www.hedgespecialty.com) helps insurance brokerages get better, faster, and cheaper coverage for complex businesses.\n\nTo do this, we’re starting with the wholesale layer. The first major bottleneck for brokers.\n\nOur competitors are billion-dollar businesses that are still almost entirely human-driven. Ryan Specialty, one of the largest wholesalers, spends almost 60% of revenue on salaries. Their version of innovation is giving manual work to offshore contractors.\n\nWe think the better version is rebuilding the workflow around AI from day one. Hedge uses AI agents paired with underwriting to help brokers get quotes faster.\n\nSoon, we’re moving up the stack: combining wholesale distribution and underwriting into one AI-native insurance company built to help brokers win more business.\n\n### **Let’s talk!**\n\nWe’re already working with some of the fastest-growing brokerages we know, and now we’re scaling as fast as possible.\n\nIf you place E&amp;S business and want faster, cheaper quotes for your clients, we’d love to work with you.\\\n\\\nTo learn more:[ hedgespecialty.com](https://www.hedgespecialty.com/)\\\n\\\n**We’re hiring!  [Apply here](https://www.hedgespecialty.com/careers)**\n\n![uploaded image](/media/?type=post&id=100966&key=user_uploads/2567632/24c6880c-1e40-4812-a0b5-ada49876f9db)\n\n",
        "url": "https://www.ycombinator.com/launches/QGU-hedge-ai-native-specialty-insurance-company",
        "votes": 17,
        "created_at": "2026-05-08T05:52:39.977Z"
      }
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  },
  {
    "id": 31326,
    "name": "Klarify",
    "slug": "klarify",
    "former_names": [],
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    "website": "https://www.klarify.ca/",
    "all_locations": "Toronto, ON, Canada",
    "long_description": "Klarify handles every job a therapist does other than the therapy itself, from clinical notes and treatment plans to insurance claims and finding new clients.\r\n\r\nTherapists hold the world together. They also run businesses, file insurance claims, write letters, fill forms, supervise new grads, and do hours of paperwork every night. \r\n\r\nPractice management software has existed for decades. It records what therapists do. It can't actually do any of it.\r\n\r\nKlara is the AI at the heart of Klarify. She handles notes, treatment plans, clinical letters, insurance claims, between-session resources, supervision prep, and finding new clients.\r\n\r\nNearly 12,300 therapists use Klarify today.\r\n\r\nOur mission is to empower therapists, not replace them. So they can focus on the one thing only a human can do. Be present with their client.",
    "one_liner": "AI Agent for Therapists",
    "team_size": 3,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Healthcare IT",
    "launched_at": 1778267831,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
      "Healthcare",
      "Healthcare IT"
    ],
    "regions": [
      "Canada",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/klarify",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/klarify.json",
    "year_founded": 2024,
    "city": "Toronto",
    "country": "CA",
    "linkedin_url": "https://www.linkedin.com/company/klarifytherapy/",
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    "primary_partner": {
      "name": "Andrew Miklas",
      "url": "https://www.ycombinator.com/people/andrew-miklas"
    },
    "founders": [
      {
        "user_id": 303925,
        "full_name": "Moody Abdul",
        "title": "Founder/CEO",
        "founder_bio": "Founder of Klarify, an AI agent for therapists.\n\nPreviously founder @ Circleback.ai. \n\nContact: moody@klarify.ca",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/moodyabdul",
        "x_url": "https://x.com/MoodyAbdulf",
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      {
        "user_id": 1977587,
        "full_name": "Alexander Bergholm",
        "title": "Founder/CTO",
        "founder_bio": "CTO @ Klarify (Batch P26)\n\nHere to graduate clients from therapy by enhancing their therapeutic journey.\n\nFormer Div 1 collegiate CS player, top 50 in Canada — still clutch under pressure.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/bergholmalexander/",
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    "jobs": [
      {
        "id": 114407,
        "title": "Founding Product Manager",
        "url": "https://www.ycombinator.com/companies/klarify/jobs/2B0yXZs-founding-product-manager",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Product",
        "role_type": null,
        "salary_range": "$150K - $200K",
        "equity_range": "0.50% - 1.50%",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 114408,
        "title": "Head of Product",
        "url": "https://www.ycombinator.com/companies/klarify/jobs/rRhVDwo-head-of-product",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$175K - $225K",
        "equity_range": "0.50% - 2.00%",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
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    ],
    "news": [
      {
        "title": "The crisis behind the mental health crisis: therapist operational overload",
        "url": "https://www.dallasnews.com/opinion/commentary/article/therapy-overload-mental-health-counselors-22320633.php",
        "date": "Jun 28, 2026"
      },
      {
        "title": "What Therapists Know About the Problems We Keep Debating | IBTimes",
        "url": "https://www.ibtimes.com/what-therapists-know-about-problems-we-keep-debating-3804004",
        "date": "Jun 12, 2026"
      },
      {
        "title": "AI Should Handle the Busywork, Not the Therapy",
        "url": "https://www.techtimes.com/articles/318205/20260611/klarify-founder-moody-abdul-ai-should-handle-busywork-not-therapy.htm",
        "date": "Jun 11, 2026"
      }
    ],
    "launches": [
      {
        "id": 101227,
        "title": "Klarify 🌱 AI Agent for Therapists",
        "tagline": "Klarify handles every job a therapist does other than the therapy itself.",
        "body": "Hey YC!\n\nWe're [Moody](https://www.linkedin.com/in/moodyabdul/) and [Bergie](https://www.linkedin.com/in/bergholmalexander/), co-founders of [Klarify](https://klarify.ca).\n\n## TL;DR\n\nTherapists work alone. Klarify is the AI agent that handles every job a therapist does other than the therapy itself: clinical notes, treatment plans, insurance claims, between-session resources, and finding new clients. Nearly 6,000 therapists use Klarify today, and we're growing fast.\n\n**Ask:** Know a therapist or clinic owner? Send them this post or reach us at [moody@klarify.ca](mailto:moody@klarify.ca).\n\n<https://www.youtube.com/watch?v=K_xNXWnlf98>\n\n## The Problem\n\nDoctors have assistants. Lawyers have paralegals. Therapists work alone.\n\nThey spend their evenings on the work they didn't sign up for: clinical notes, treatment plans, finding new clients, fighting insurance denials.\n\nPractice management software has existed for decades. It stores what therapists do. It can't actually do any of it.\n\nExisting software stores notes but can't use them. Schedules clients but can't find new ones. Submits insurance claims but can't fight denials.\n\n## Our Solution\n\nKlarify does. Klara handles the work other than the therapy itself:\n\n* 📝 **Notes**: drafted from the session in seconds\n* 🩺 **Treatment plans**: personalized to each client\n* ✉️ **Clinical letters**: referrals, third-party reports, court letters\n* 🧾 **Insurance claims**: submitted, denials fought automatically\n* 📋 **Between-session resources**: customized homework and client check-ins\n* 📈 **Finding new clients**: AI-generated content that brings them in\n* And much more…\n\n> Klarify gave me something I didn't realize I had lost: time and energy. It has changed not only how I work, but how I live.\"\\\n> — Kelly Copeland, M.Ed, Registered Counselling Therapist\n\n## Where We're Going\n\nMental health is a global problem. Every therapist, in every country, runs into the same wall: they're alone with the work no one trained them for.\n\nUS outpatient mental health alone is a $40B market. Klara works in any language.\n\nIn a few years, the solo therapist runs a 7-figure practice. The 50-clinician group runs lean. All due to Klarify handling everything other than the therapy itself.\n\n## Our Ask\n\nTherapists, try us free at [klarify.ca](http://klarify.ca).\n\nFor therapist intros, investors in health/AI/vertical SaaS, or press covering AI in healthcare or mental health innovation: [info@klarify.ca](mailto:info@klarify.ca)\n\n## The Founders\n\nWe both have therapists who changed our lives. Klarify is what we wanted them to have.\n\n**Moody (CEO)** is a second-time founder. He previously co-founded [Circleback.ai](http://Circleback.ai), an AI meeting notes app. Before that he sold $20M in enterprise contracts at LinkedIn. He hosts the Future of Therapy Podcast.\n\n**Bergie (CTO)** has built LLM infrastructure at Workday. He holds a patent and a published paper from UBC in computer vision for self-driving cars, and researched deep learning with the Finnish Military's Special Task Force.\n\n![uploaded image](/media/?type=post&id=101227&key=user_uploads/303925/8a84fe0f-f147-46bc-a029-08b17c7b62e9)\n\n",
        "url": "https://www.ycombinator.com/launches/QKh-klarify-ai-agent-for-therapists",
        "votes": 92,
        "created_at": "2026-05-11T23:59:23.028Z"
      }
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  {
    "id": 31329,
    "name": "primitive",
    "slug": "primitive",
    "former_names": [
      "MyMX"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/68d79963abcea30afcb5624fb54adb42544a50ed.png",
    "website": "https://primitive.dev",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Building the communication infrastructure needed for fully autonomous agents",
    "one_liner": "communication for agents",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1773121787,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
      "B2B",
      "Infrastructure"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/primitive",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/primitive.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/primitivedotdev/",
    "x_url": "https://x.com/primitive",
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    "primary_partner": {
      "name": "Pete Koomen",
      "url": "https://www.ycombinator.com/people/pete-koomen"
    },
    "founders": [
      {
        "user_id": 3342418,
        "full_name": "Ethan Byrd",
        "title": "Founder/CEO",
        "founder_bio": "Building primitive. Formerly founder of Actual AI and engineering @ Microsoft/AWS/FB/Google.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/etbyrd/",
        "x_url": "https://x.com/itsjustemail",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/768e945df9e6f2a9fb69f57470394ca0c4886421.jpg"
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    ],
    "jobs": [
      {
        "id": 105463,
        "title": "Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/primitive/jobs/xMBR7BQ-forward-deployed-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$190K - $230K",
        "equity_range": "0.25% - 0.75%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 105464,
        "title": "Email Infrastructure Engineer",
        "url": "https://www.ycombinator.com/companies/primitive/jobs/JqLoJbb-email-infrastructure-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$190K - $230K",
        "equity_range": "0.25% - 0.75%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 105465,
        "title": "Product Engineer",
        "url": "https://www.ycombinator.com/companies/primitive/jobs/RVWGWpZ-product-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$190K - $230K",
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        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
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  {
    "id": 31333,
    "name": "PerfectBit, Inc.",
    "slug": "perfectbit-inc",
    "former_names": [
      "Gikl, Inc",
      "PerfectBit"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/900c210e3f57ee42221dbb5ea21f81418b553e70.png",
    "website": "https://perfectbit.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "PerfectBit builds learned policies for robots that do real work. We train manipulation and control policies that hold up outside the lab, in the unstructured environments where real tasks actually happen. Founded by two alumni of Meta's Superintelligence org: Péter Vajda led Media GenAI foundation-model R&D (Emu, Movie Gen, image and video editing), and Seiji Yamamoto led teams in the Core Llama group across LLM pre-training and post-training, inference optimization, and computer vision. We're early, deliberately quiet about the details, and hiring the first researchers who will shape what this becomes. San Francisco, on-site.",
    "one_liner": "Robotics",
    "team_size": 3,
    "industry": "Industrials",
    "subindustry": "Industrials -> Manufacturing and Robotics",
    "launched_at": 1773359306,
    "tags": [
      "Machine Learning",
      "Robotics",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/perfectbit",
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      "name": "Garry Tan",
      "url": "https://www.ycombinator.com/people/garry-tan"
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    "founders": [
      {
        "user_id": 3007971,
        "full_name": "Seiji Yamamoto",
        "title": "Founder",
        "founder_bio": "Led teams in the Core Llama group at Meta Superintelligence Labs. Senior Staff Research Scientist across 9 years at Meta spanning LLM pre-training and post-training, inference optimization, full-duplex speech models, and computer vision vision models. Before tech: PhD in Physics, published in Proceedings of the National Academy of Sciences and Physical Review Letters, co-authored with Fields Medalist. Educated at Stanford, Rice, Columbia, post-doc at a National Lab. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/seiji-yamamoto-a630897/",
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      },
      {
        "user_id": 45070,
        "full_name": "Peter Vajda",
        "title": "Founder",
        "founder_bio": "\nI worked as Director of Media Generation at Meta before 2026 for 11 years.\nI was managing the Media GenAI foundation model research and development, including efficient media generation, text to image generation (Emu), image editing, Movie gen, text to video, video editing and character consistent image and video generation. Previously, led efficient deep learning for computer vision teams supporting on-device models for AR/VR. \nI was Assistant Professor at Stanford University",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/p%C3%A9ter-vajda-9a03aaa/",
        "x_url": "",
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    ],
    "jobs": [
      {
        "id": 96987,
        "title": "Hiring Research Scientists and Research Engineers at PerfectBit",
        "url": "https://www.ycombinator.com/companies/perfectbit-inc/jobs/snGw8px-hiring-research-scientists-and-research-engineers-at-perfectbit",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$100K - $300K",
        "equity_range": "0.10% - 3.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
          "C++",
          "Python",
          "Deep Learning",
          "Reinforcement learning (RL)",
          "Computer Vision",
          "CAD Design",
          "Blender",
          "LLMs",
          "Transformers",
          "AI Agents",
          "Multimodal AI",
          "Diffusion Models"
        ]
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 101365,
        "title": "PerfectBit: AI Training data, correct by construction",
        "tagline": "Specialized data for the world's most powerful models.",
        "body": "# **TL;DR**\n\n_PerfectBit creates high-quality training data that's correct by construction. We verify against physics simulators, scientific databases, formal proof systems. It's what models need to cure hallucination, close common-sense gaps, and reach superintelligence. Reinforcement Learning from Verified Rewards (RLVR) was an early step in this direction. We go further. LLMs, robotics, AI for Science, and more._\n\n<https://youtu.be/RrFKfbO6XlY>\n\n# **The problem: the failures standing between today's models and superintelligence**\n\nFrontier labs are bottlenecked on four data problems:\n\n* **Hallucination.** Models trained on noisy web scrapes produce confident, fluent statements that are wrong.\n* **Common-sense failure.** Models that solve graduate-level math still trip on trivial problems for a five-year-old.\n* **Information scarcity.** Scientific facts, formal derivations, peer-reviewed findings — they're a thin minority of tokens in any open-web scrape, drowned out by orders of magnitude of recipes, marketing copy, forum chatter, and AI-generated slop. Scaling the scrape doesn't change the ratio.\n* **Human annotation doesn't scale.** It's slow, expensive, and capped at human ability — superintelligence won't come from labeling at human throughput.\n\n# **What we do**\n\n* PerfectBit creates high-quality training data that's correct by construction. Every sample is generated against an oracle — physics simulator, scientific database, formal proof system — and verified before it ships, in text, code, image, audio, or video. For LLMs, we project observations about the world into natural language; for verticals like robotics and AI-for-science, we ship purpose-built datasets.\n\n# **Why us**\n\nWe've trained the models we're now building data for.\n\n* **Peter Vajda** — Former **Director of Media Generation at Meta**. Eleven years at Meta. Most recently led Media GenAI foundation-model R&amp;D: **Emu** (text-to-image), image editing, **Movie Gen**, text-to-video, video editing, character-consistent generation. Earlier led efficient deep learning for computer vision powering on-device Augmented Reality and Virtual Reality (AR/VR) models. **Assistant Visiting Professor at Stanford** before Meta. PhD in Computer Science.\n* **Seiji Yamamoto** — Led teams in the **Core Llama group at Meta Superintelligence Labs**. Nine years at Meta as a **Senior Staff Research Scientist** across LLM pre- and post-training, inference optimization, full-duplex speech, and computer vision. **PhD in Physics**, publications in **Proceedings of the National Academy of Sciences** and **Physical Review Letters** (co-authored with a Fields Medalist). Stanford, Rice, Columbia; postdoc at a National Lab.\n\nBetween us: foundation-model training across text, image, video, and speech, shipped to billions of users — plus scientific chops to design the verifier stacks.\n\n# **We’d love to talk more**\n\nWe're talking to a small number of frontier AI labs about pilot engagements.\n\n* **Heads of data / data partnerships** at frontier labs\n* **Research leads** running pre-training, mid-training, post-training, or reasoning programs and shopping for a corpus that doesn't exist yet\n* **Model-training teams** preparing a next-gen training run who want a correct-by-construction supplement in the mix\n* **Researchers in formal methods, scientific computing, or domain-specific simulators** who want to contribute a verifier stack — we'd love to talk\n\nWe're also **hiring research scientists and engineers in San Francisco** (in-person). If you've shipped foundation-model training, built formal/simulation tooling or spent time developing AI training data at production scale, please reach out.\n\n# **Contact**\n\n* **Web:** [**https://perfectbit.ai**](https://perfectbit.ai)\n* **Email:** [**founders@perfectbit.ai**](mailto:founders@perfectbit.ai)\n* **Founders:** Peter Vajda, Seiji Yamamoto",
        "url": "https://www.ycombinator.com/launches/QMv-perfectbit-ai-training-data-correct-by-construction",
        "votes": 8,
        "created_at": "2026-05-14T19:03:28.026Z"
      }
    ]
  },
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    "id": 31343,
    "name": "Multiplier",
    "slug": "multiplier",
    "former_names": [
      "WithAI"
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    "website": "https://multiplier.ai",
    "all_locations": "New York City, NY, USA",
    "long_description": "Multiplier helps institutional investors research stocks and manage their portfolios. We're live with six hedge funds, and our users spend 4+ hours a day in the platform.\r\n\r\nInvestors who try \"nearly every tool on the market,\" to quote a client of ours, \"wind up with an unwieldy collection of fragmented point solutions.\" Those who focus on building a great setup with general agents are instead \"signing up for a full-time job.\" So we deploy a platform called Multiplier that unifies structured data, unstructured data, AI work, human work, and tacit firm knowledge in one secure, governed, customized application.\r\n\r\nOur first vertical: independent equity funds with $250M-$5B of assets. They know AI is essential for staying relevant, but they don't have the time or talent to figure out what to do about it. But once we deploy Multiplier––\"We used to spend 80% of our time gathering information and 20% of our time acting on it,\" said one customer. \"Multiplier has flipped those percentages.\"",
    "one_liner": "Agent harnesses for asset managers",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1778527074,
    "tags": [
      "Fintech",
      "Productivity",
      "Investing",
      "AI",
      "Stocks"
    ],
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": true,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/multiplier",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/multiplier.json",
    "year_founded": 2026,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/multiplier-dot-ai",
    "x_url": "https://x.com/_Multiplier",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/multiplier-dot-ai",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f7c1a5b7f1d0f6a85da016ccad1a5a0cec81c513.png",
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    "primary_partner": {
      "name": "David Lieb",
      "url": "https://www.ycombinator.com/people/david-lieb"
    },
    "founders": [
      {
        "user_id": 3405246,
        "full_name": "Ian McInnis",
        "title": "Founder/CEO",
        "founder_bio": "Princeton Mathematics, 4.0, Shapiro Prize, Behrman Fellow, ΦΒΚ early election, ΣΞ induction & outstanding research award, researcher (check ArXiV), novelist (check nowhere) | Investor and builder of LLM investment systems at Bridgewater Associates, the world's largest hedge fund | Classically trained Shakespearean actor\n\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/imj-mcinnis/",
        "x_url": "https://x.com/imjmcinnis",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9a9bbc8fb17bdf5e1597f1a1aa3638035b3b56b9.jpg"
      },
      {
        "user_id": 3276162,
        "full_name": "Benjamin Finch",
        "title": "Founder/CEO",
        "founder_bio": "Before WithAI, Ben was the founding researcher and chief of staff at unicorn AI lab Sentient. He oversaw prompt security and multi-agent coordination work and built a million-strong community.\n\nHe received a bachelor's and a master's in Electrical and Computer Engineering Magna Cum Laude from Princeton, writing acclaimed theses on solar power investment and a novel blockchain design to solve coordination issues in Energy. He grew up in Maryland, Mongolia, Kenya, and Indonesia.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ben-finch-3a82471b5/",
        "x_url": "https://x.com/btsfinch",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/46d8e5822a34f0ebbfc14618ae6798a9d6de0bbb.jpg"
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    ],
    "jobs": [
      {
        "id": 110696,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/multiplier/jobs/FULAL7W-founding-engineer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $300K",
        "equity_range": "1.00% - 4.00%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "AI Agents"
        ]
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 101275,
        "title": "WithAI – Custom command centers for hedge funds",
        "tagline": "We help institutional investors research stocks and track their portfolio using AI.",
        "body": "We're Ian and Ben, co-founders of WithAI. WithAI helps institutional investors use AI to research stocks and manage their portfolios. We forward-deploy to set up Multiplier, a secure platform that teaches AI how the fund works and connects it to all the needed tools, files, data, and context, so that investors can use the full strength of today's agents without taking on a second job as Claude-wrangler. After three months, we're live with multiple clients, doing &gt;$100k ARR. If you know a fundamental equity investor, we'd love to meet them. Email [ian@withai.co](mailto:ian@withai.co).\n\n<https://www.youtube.com/watch?v=S_ZhD9Y60GQ>\n\nAI has radically transformed coding. But in finance, super-sharp, highly-paid people are spending 2026 combing through an inbox full of PDFs, updating models in Excel, and eyeballing Bloomberg charts. Multiplier packages everything necessary to change that! It includes secure inference endpoints, changelogs, ontology maintainance, guardrails, and VM infrastructure, and it's all hosted on client servers. With a mix of open-source protocols and WithAI elbow grease, Multiplier connects to all the research, tools, and data used at a given firm. We conduct face-to-face interviews so we can give AI the tacit knowledge it needs to work at _your fund specifically_; gaps get filled by user feedback to the AI. Our interface––more like an IDE than a collection of chatboxes––makes oversight, guidance, and participation natural. Early clients have called Multiplier \"a tremendous proprietary knowledge flywheel\" and \"hugely insightful, a massive force multiplier.\" (In fact, that's where we got the name.) \n\nBen and Ian became fast friends building a deeptech investment group together (still going strong) and reunited because they'd independently hit on this idea. Ben, working on enterprise AI as founding researcher at Sentient Labs, saw what stopped his clients from accelerating like his engineers and wanted to productize the solution for the industry he knew best––investing. Ian, (profitably) overseeing an (undisclosably large) equity book at Bridgewater Associates, hacked together AI tools to help himself. They had a call to catch up one night and were spooked how they'd come to the same ideas.\n\nIf you know someone who picks stocks for a living (at a hedge fund, mutual fund, family office, etc.), we'd love to meet them. Get in touch at [ian@withai.co](mailto:ian@withai.co). Thanks so much!",
        "url": "https://www.ycombinator.com/launches/QLT-withai-custom-command-centers-for-hedge-funds",
        "votes": 35,
        "created_at": "2026-05-13T06:18:37.854Z"
      }
    ]
  },
  {
    "id": 31344,
    "name": "Totalis",
    "slug": "totalis",
    "former_names": [
      "UCALLEDIT®"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/511d877345852eb10f307bb1381829f64760f295.png",
    "website": "https://www.totalis.trade",
    "all_locations": "New York City, NY, USA",
    "long_description": "",
    "one_liner": "derivative layer for prediction markets",
    "team_size": 0,
    "industry": "Fintech",
    "subindustry": "Fintech -> Consumer Finance",
    "launched_at": 1774744766,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
      "Fintech",
      "Consumer Finance"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/totalis",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/totalis.json",
    "year_founded": 2026,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/totalistrading",
    "x_url": "https://x.com/totalistrading",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/511d877345852eb10f307bb1381829f64760f295.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Andrew Miklas",
      "url": "https://www.ycombinator.com/people/andrew-miklas"
    },
    "founders": [
      {
        "user_id": 1270958,
        "full_name": "Pravesh Mansharamani",
        "title": "Founder/CEO",
        "founder_bio": "building derivative layer for prediction markets | prev math @ waterloo ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/pravesh-mansharamani/",
        "x_url": "https://x.com/ImTheBigP",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e54d4842bc9e697ec52bfa2b1ba9723c3ebe245c.jpg"
      },
      {
        "user_id": 1555108,
        "full_name": "Eric Liu",
        "title": "Founder/CTO",
        "founder_bio": "Building the derivatives layer for prediction markets. Previously data @ coinbase, mle @ faire, math @ uwaterloo.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ericliujt/",
        "x_url": "https://x.com/ericliujt",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f6cdfb5fc8ba94677da64869ad659d9214f6323f.jpg"
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    ],
    "jobs": [
      {
        "id": 107232,
        "title": "Prediction Market Quantitative Trader",
        "url": "https://www.ycombinator.com/companies/totalis/jobs/mqoEJPi-prediction-market-quantitative-trader",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Data science",
        "salary_range": "$140K - $250K",
        "equity_range": "0.50% - 2.00%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Python"
        ]
      },
      {
        "id": 109686,
        "title": "Founding GTM",
        "url": "https://www.ycombinator.com/companies/totalis/jobs/I76G9uV-founding-gtm",
        "location": "New York, NY, US / Remote (US)",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$100K - $200K",
        "equity_range": "0.50% - 1.50%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 101857,
        "title": "Totalis - Parlay on Anything",
        "tagline": "Derivative Layer for Prediction Markets ",
        "body": "**TL;DR:** Combine ideas across categories like crypto, politics, sports, and macro in one parlay!\\\ntry it out : [app.totalis.trade](https://app.totalis.trade/?invite=HXNnZfk3F4R8GZkbh7BMZc)\n\n![uploaded image](/media/?type=post&id=101857&key=user_uploads/1270958/f74c704c-8bcc-4738-ba9f-5c2e2fdb4f0c)\n\nHey 👋 we’re Pravesh and Eric, building **Totalis**.\n\nPeople usually don’t think in isolated events. We think in second and third-order effects:\n\n* if Google has the best AI model, does S&amp;P price go up?\n* if Trump talks about Crypto, does BTC move?\n* if macro gets weird, do gold + crypto move together?\n\nRight now, prediction markets mostly let you trade one event at a time. **Totalis lets you trade the whole thesis.**\n\nA parlay is simple: pick 2–5 things you think will happen together, combine them into one trade, and get a larger payout if all legs hit.\n\nInstead of putting $100 into each individual market, you can put $100 into the combined thesis. That makes it more capital efficient if your view is really about the events happening together.\n\nFor example:\\\n**“Google wins AI → SPY rips”**\\\nThesis:\\\n\\- if Google has the top AI model:\\\n\\- GOOGL closes above target\\\n\\- SPY closes above target\n\n![uploaded image](/media/?type=post&id=101857&key=user_uploads/1270958/c3707919-ca3f-4f61-aeaf-95abc3030302)\n\n**“Geopolitics influencing asset prices”**\\\nThesis:\\\n\\- if Trump discusses “Iran” in China\\\n\\- if Trump says “Crypto”\\\n\\- Oil price above target\\\n\\- BTC above target\n\n![uploaded image](/media/?type=post&id=101857&key=user_uploads/1270958/21a5890c-0d22-4651-b3e9-9f24a005743d)\n\nWe’re starting with markets that resolve fast, data-rich, recurring, and with deep liquidity. These correlations are easiest to test.\n\n**How it works:**\\\nBrowse markets across crypto, politics, stocks, sports, weather, and more. Add legs to a parlay. We send it through RFQ and market makers return a quote. You accept or reject. No orderbooks, no central “house” that controls payout structure to ensure profits.\n\n**Why now:**\\\nPrediction markets have exploded, but they still mostly look like single-event betting. In mature financial markets, people don’t just trade single assets — they trade baskets, spreads, options, hedges, and structured products.\\\nParlays are the first obvious primitive for prediction markets.\n\n**Asks:**\n\n1. **Try the app:** [app.totalis.trade](https://app.totalis.trade/?invite=HXNnZfk3F4R8GZkbh7BMZc)\n2. **Drop your favorite parlay below:** what do you think happen together? We’d love to bring the best ones live and price them.\n3. **Market makers:** if you’re interested in making markets on parlays, or know someone who would be, please DM / intro us. We’d love to chat!\n\nNote: For regulatory reasons, we’re only offering this product to people outside of US right now.\n\nPravesh &amp; Eric",
        "url": "https://www.ycombinator.com/launches/QUr-totalis-parlay-on-anything",
        "votes": 11,
        "created_at": "2026-05-25T14:52:29.789Z"
      }
    ]
  },
  {
    "id": 31345,
    "name": "Replicas",
    "slug": "replicas",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/45f1eda8aab66eabaa151ae4c6fdca3a6325a068.png",
    "website": "https://replicas.dev",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Replicas is a cloud coding agent that allows you to delegate tasks to Claude Code or Codex from the app, Slack, Linear, and more. Each task works inside of a sandboxed virtual machine, allowing teams to heavily parallelize work and burn through tickets.\r\n\r\nReplicas agents output higher quality PRs via feedback loops - each task automatically is notified and fixes CI failures and reads all code reviews. With Environments, engineering teams can configure agents to run their entire codebase locally, verify its work, and provide preview URLs.",
    "one_liner": "Run any coding agent harness in the cloud",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1773355936,
    "tags": [
      "Developer Tools"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/replicas",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/replicas.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/replicas/",
    "x_url": "https://x.com/tryreplicas",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/45f1eda8aab66eabaa151ae4c6fdca3a6325a068.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Harj Taggar",
      "url": "https://www.ycombinator.com/people/harj-taggar"
    },
    "founders": [
      {
        "user_id": 1688990,
        "full_name": "Connor Loi",
        "title": "Founder/CEO",
        "founder_bio": "Building the best way to use cloud coding agents ;)\nprev helicone, td bank, and cohere :)",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/connor-loi/",
        "x_url": "https://x.com/connortbot",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/210f1d94c31da97e75459a8f636111f867a16e8d.jpg"
      },
      {
        "user_id": 2136272,
        "full_name": "Saai Arora",
        "title": "Founder/CTO",
        "founder_bio": "CTO @replicas, Prev: General Context, Shopify, IBM and Autotrader\nCS Uwaterloo",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/saai-arora-2a94921b9/",
        "x_url": "https://x.com/SaaiArora",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c67d059f38e420c2ebc26c0fdfe3f9d68be23012.jpg"
      }
    ],
    "jobs": [
      {
        "id": 92797,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/replicas/jobs/1r7KcWj-founding-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $250K",
        "equity_range": "0.50% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 116603,
        "title": "Founding Growth",
        "url": "https://www.ycombinator.com/companies/replicas/jobs/fmrVgOj-founding-growth",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$150K - $250K",
        "equity_range": "0.50% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 99287,
        "title": "Replicas - End-to-End Background Coding Agents",
        "tagline": "Background coding agents for engineering teams",
        "body": "Hi there, I'm Connor from [Replicas](https://replicas.dev/) :)\n\nRecently, you might have seen Stripe and Ramp release blogs outlining their in-house background coding agents. This showed us that background agents, with the proper tooling, can be relied on to ship critical production code.\n\nReplicas is a background coding agent that can run your codebase locally.\n\nWe’re used by 20+ YC startups at all team sizes.\n\n![uploaded image](/media/?type=post&id=99287&key=user_uploads/1688990/b35f4253-6fd0-478b-a04f-26f73a18b625)\n\n**The Problem**\n\nBackground coding agents are a huge productivity boost for clearing tickets and shipping faster.\n\nThe existing solutions - CC/Codex on Cloud, Cursor Agents - lock you into one harness and give you **no control over the environment**.\n\nThis defeats the entire point of \"background\" agents. A powerful background agent should run everything locally, verify its work, and iterate until it's satisfied.\n\n**How Replicas Works**\n\n**Replicas** helps you delegate to as many background agents as you need:\n\n\\- Bring your own Claude/Codex credentials\n\n\\- Each agent gets a sandbox VM with your code cloned\n\n\\- The agent installs deps, spins up databases, runs services, and verifies its work locally\n\n\\- When it's done, it opens a PR for you to review\n\n![uploaded image](/media/?type=post&id=99287&key=user_uploads/1688990/e20b6968-523d-4376-a05c-ba175cc61611)\n\nReplicas can be triggered from Slack, Linear, GitHub (PR reviews, CI/CD failures), the Dashboard, or API.\n\nThe biggest difference is **Environments**. You can configure the following:\n\n\\- Files\n\n\\- Env vars\n\n\\- Start hooks\n\n\\- Warm hooks\n\n\\- Skills/MCPs\n\nIt's built so that its flexible to any kind of codebase, allowing Replicas to run everything locally just like a human engineer would.\n\n![uploaded image](/media/?type=post&id=99287&key=user_uploads/1688990/df185d7b-b90e-455f-9ff7-10dcefcfd8c7)\n\nReplicas can also create **Previews**:\n\n![uploaded image](/media/?type=post&id=99287&key=user_uploads/1688990/7be01ba9-b653-43f2-975d-234002802e15)\n\nMeaning you can check out services (e.g web app on `3000`) running on the sandbox's VM from your computer with just a click :)\n\nCheck out this writeup for Replicas V1 for more details:\n\n<https://www.replicas.dev/notes/replicas-v1>\n\n**Demo Video**\n\n<https://youtube.com/watch?v=uyH77T-pcXc>\n\n**What's Next**\n\n\\- **Automations + API**: Improving our API and adding an automations menu, e.g having Replicas run every night.\n\n\\- **Recursive**: Replicas can break down super complex tasks by creating more Replicas instances.\n\n\\- **Lowering Latency**: For larger teams, improving our warm pool and snapshotting infrastructure to make spinning up Replicas feel _instant_ (more than it already does)\n\n\\- **Long-term Memory**\n\n\\- and what our customers ask for :p\n\n**What I'm asking from you**\n\n\\- Sign up (<https://replicas.dev>) or reach out ([connor@replicas.dev](mailto:connor@replicas.dev))\n\n\\- Check out \\[this writeup\\](<https://www.replicas.dev/notes/replicas-v1>) for Replicas V1\n\n\\- Upvote if this resonates with you!",
        "url": "https://www.ycombinator.com/launches/PpP-replicas-end-to-end-background-coding-agents",
        "votes": 87,
        "created_at": "2026-04-01T17:38:42.126Z"
      }
    ]
  },
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    "id": 31346,
    "name": "Rudus",
    "slug": "rudus",
    "former_names": [
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/407f4a93871730524968180bcf20dd23fc9ce7b2.png",
    "website": "http://rudus.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Rudus is an AI-powered takeoff and estimation platform enabling concrete contractors to win 3x more projects yearly. It automatically identifies every concrete structure like footings, walls, columns, and slabs on plans, eliminating the manual work and reducing estimation time by 70%. Concrete is the most-used material on earth after water, and demand is surging with the AI infrastructure boom.",
    "one_liner": "AI Takeoffs for Concrete",
    "team_size": 2,
    "industry": "Real Estate and Construction",
    "subindustry": "Real Estate and Construction -> Construction",
    "launched_at": 1777879888,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
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      "Construction"
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    "regions": [
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      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/rudus",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/rudus.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/rudusai/",
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    "cb_url": null,
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    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [
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    ],
    "primary_partner": {
      "name": "David Lieb",
      "url": "https://www.ycombinator.com/people/david-lieb"
    },
    "founders": [
      {
        "user_id": 2926837,
        "full_name": "Rishi Pankhaniya",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder & CEO @ Rudus, Ex-Airbnb(1st new grad engineer in 2+ years), Apple. Studied CS @ UIUC. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/rishi-pankhaniya-b69649183/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/961651ff6f37710702f0fe5d815b77f2eb3f8ce5.jpg"
      },
      {
        "user_id": 2504494,
        "full_name": "Sahil Goel",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder @ Rudus. Ex-Amazon, NASA JPL, Northrop Grumman. Studied Computer Science and Construction Management at Cal Poly SLO, home to the #1 ranked undergraduate Construction Management program in the nation. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/sahilgoel05",
        "x_url": "https://x.com/goesahil",
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    ],
    "jobs": [
      {
        "id": 98125,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/rudus/jobs/SImGWlm-founding-engineer",
        "location": "San Francisco, CA, US / New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$140K - $160K",
        "equity_range": "0.30% - 1.00%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": [
          "Python",
          "TypeScript"
        ]
      },
      {
        "id": 98126,
        "title": "Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/rudus/jobs/62WqaHp-forward-deployed-engineer",
        "location": "San Francisco, CA, US / New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$140K - $160K",
        "equity_range": "0.30% - 1.00%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": [
          "Amazon Web Services (AWS)",
          "Python",
          "TypeScript"
        ]
      },
      {
        "id": 98127,
        "title": "Founding Research Scientist, Computer Vision (PhD)",
        "url": "https://www.ycombinator.com/companies/rudus/jobs/GfP0RvS-founding-research-scientist-computer-vision-phd",
        "location": "San Francisco, CA, US / New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $200K",
        "equity_range": "0.30% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": [
          "Python",
          "Computer Vision"
        ]
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 101234,
        "title": "Rudus: AI-powered takeoff for concrete subcontractors",
        "tagline": "Rudus helps concrete contractors produce quotes 80% faster",
        "body": "**TL;DR:** Rudus is an AI-powered takeoff and estimation platform built for concrete subcontractors. Takeoff is the process of measuring and quantifying materials from concrete plan sheets. Rudus identifies every concrete structure (footings, walls, columns, slabs), pulls in related details, and eliminates hours of manual quantity calculation.\n\n**Ask:** If you know anyone in construction, we would greatly appreciate a warm introduction. Concrete-specific would be even more amazing. We would also love to talk to anyone who has built computer vision models.\n\n**Launch video**\\\n&lt;<https://youtu.be/QdXKLNN4IQo> &gt;\n\n**The problem:**\n\nConcrete subcontractors are the backbone of every building, and their estimating workflow hasn't changed in 20 years . A senior estimator opens a PDF, manually traces every footing and grade beam, then hand-builds an Excel spreadsheet with 300+ line items- volumes, formwork, rebar by bar size with lap splices and development lengths. One bid takes 20 to 40 hours. Most firms have just a few estimators. That means they physically cannot bid on most of the work available to them. \n\nThe software incumbent in this trade hasn’t been updated since 2020. Past that, every AI takeoff tool on the market was built for GCs and treats concrete as one checkbox. None of them expand rebar assemblies. None of them compute development lengths. None of them output quantities the way a concrete estimator actually prices work. We built Rudus for this trade and only this trade. \n\n**Solution**\n\nAn estimator uploads their structural PDFs. Rudus auto-classifies every sheet (foundation plans, section details, footing schedules, frame elevations) and routes each to the right processing pipeline. Computer vision detects concrete elements across the drawing set and follows cross-references across sheets to resolve dimensions and detailing, catching elements that plan-only tools always miss. Each element gets expanded into full assembly line items: concrete, formwork, and rebar with all the calcs an estimator would normally do by hand. A typical foundation package goes from a handful of assemblies to 80-120 priced line items. The estimator reviews, overrides where needed, and exports straight into their existing workflow. We cut takeoff time by 80% and help estimators bid 3-5× more projects without adding headcount. From plan upload to bid package, every part of the workflow gets faster. \n\n**How we got here**\n\nSahil and I were engineers at Amazon and Airbnb respectively. We are both from Cupertino, CA and have been best friends since high school, always talking of starting a company together. Sahil took a construction management class and realized estimation workflows hadn't changed in decades. We started cold calling, walking into offices, showing up at job sites, and everyone told us the same thing: slow estimation is the biggest bottleneck in their business, but every new product they've tried has failed. We quickly realized that the reason those tools failed is a lack of trust. Estimators stake million to billion dollar bids on these numbers, and they won't trade their workflow for a black box. We took a different approach: software that accelerates their current workflows rather than replacing it by forward deploying our product into their current estimation workflow. The response from the industry was overwhelmingly positive, and we now ship weekly to estimators with decades of experience. They keep asking for more.",
        "url": "https://www.ycombinator.com/launches/QKo-rudus-ai-powered-takeoff-for-concrete-subcontractors",
        "votes": 72,
        "created_at": "2026-05-12T02:44:19.484Z"
      }
    ]
  },
  {
    "id": 31360,
    "name": "LightSprint",
    "slug": "lightsprint",
    "former_names": [
      "Lightsprint"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c43e010268551eab76be0368766c6aa0da142440.png",
    "website": "https://lightsprint.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Lightsprint is a collaborative software factory for product teams to plan visually, preview live and ship with an army of cloud agents. Your whole team, including non-engineers, can now ship end to end reliably.\r\n\r\nThe company is founded by Ben Ong, an AI investor who previously scaled AI products at SEA Group (NYSE: SE) and Temasek ($300B fund), Benedict Chan who was VP Engineering at Chainlink and CTO at BitGo (NYSE:BTGO), and Heng Hong Lee who built Facebook Messenger in 2013 and was Director of Engineering at Fazz (YC S17).",
    "one_liner": "Software factory for product teams",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1776537521,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": [
      {
        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "Product changes (a copy tweak, a pricing page update, a new business logic update) often wait behind an engineering sprint. The PM files a ticket. Follows up in standup. Two weeks later, it ships.\r\n\r\nCoding agents like Cursor and Claude Code made engineers 10x faster, but that speed never reached the rest of the product team. The PM still files a ticket and waits. The tools pitched at \"non-technical builders\" - Lovable, Replit - only spin up new prototypes from scratch. None of them touch the product you actually run.\r\n\r\nEach of us hit this from a different side. Ben saw this bottleneck from the investor seat through his portfolio companies and during his time at SEA group as a PM. Heng Hong saw it from inside engineering: engineer time burned on changes anyone should be able to make. Benedict saw it from infrastructure: the plumbing to let non-engineers ship safely didn't exist yet."
      },
      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "Every person at a company will be able to ship product changes, not just engineers. The barrier between having an idea and shipping it disappears.   \r\n\r\nPMs won't file tickets. Designers won't hand off mockups and wait. Founders won't choose between learning to code or hiring an engineer for a copy change. Engineering backlogs will shrink from bottleneck to review queue. Review comments get aggregated and fed back to the agent, which self-heals before an engineer steps in.\r\n\r\nEngineers will focus on architecture, infrastructure, and the hard problems - while everyone else ships the changes they're closest to the customer to make. Software development becomes a team sport. We think this is as big a shift as when spreadsheets let non-finance people work with data, or when Canva let non-designers create graphics. Product agents will do the same for software."
      }
    ],
    "url": "https://www.ycombinator.com/companies/lightsprint",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/lightsprint.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/lightsprint",
    "x_url": "https://x.com/lightsprintai",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c43e010268551eab76be0368766c6aa0da142440.png",
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    "company_photos": [
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    ],
    "primary_partner": {
      "name": "Garry Tan",
      "url": "https://www.ycombinator.com/people/garry-tan"
    },
    "founders": [
      {
        "user_id": 2961528,
        "full_name": "Ben Ong",
        "title": "Founder/CEO",
        "founder_bio": "Founder at Lightsprint (YC P26). Ex-VC at January Capital and venture builder at Temasek's venture studio (300B fund). Scaled products in SE group (NYSE: SE, Southeast Asia's unicorn). Prev data scientist at Cheetah Digital. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/benj-ong/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5f9504a2d06186d481daef0c3491d373cef56884.jpg"
      },
      {
        "user_id": 172062,
        "full_name": "Benedict Chan",
        "title": "Founder",
        "founder_bio": "Founder at Lightsprint, an AI-native loop for building products: decide → spec → ship → learn → repeat. \nPast: Engineering leadership — CTO @ BitGo (NYSE: BTGO), Head of Eng @ Chainlink, SDE2 @ Microsoft",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/bencxr",
        "x_url": "https://x.com/bencxr",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f202fd3383b00b0fea65fc4ed9fc73f64fbda558.jpg"
      },
      {
        "user_id": 282313,
        "full_name": "Heng Hong Lee",
        "title": "Founder",
        "founder_bio": "Founder at Lightsprint (YC P26). Previously Principal Engineer at HQ.xyz and Head of Engineering at Xweave. Founded Tempest, a custodial Lightning wallet. Led engineering at FAZZ Financial Group for 4 years. Senior Software Engineer at Facebook for 5 years. BA in Electrical Engineering from National University of Singapore.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/henghonglee",
        "x_url": "https://x.com/henghonglee",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cd2233cae85b7b7584eab1e12859b7485f7a3ef1.jpg"
      }
    ],
    "jobs": [
      {
        "id": 100137,
        "title": "Product Marketing / GTM Engineer",
        "url": "https://www.ycombinator.com/companies/lightsprint/jobs/f42QPiX-product-marketing-gtm-engineer",
        "location": "Remote",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$130K - $180K",
        "equity_range": "0.10% - 0.50%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 107964,
        "title": "Founding AE",
        "url": "https://www.ycombinator.com/companies/lightsprint/jobs/rP7UsD7-founding-ae",
        "location": "San Francisco, CA, US / Remote (San Francisco, CA, US)",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$130K - $180K",
        "equity_range": "0.25% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 108323,
        "title": "Head of Developer Relations",
        "url": "https://www.ycombinator.com/companies/lightsprint/jobs/kTQN5M4-head-of-developer-relations",
        "location": "San Francisco, CA, US / Remote (San Francisco, CA, US)",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$130K - $180K",
        "equity_range": "0.25% - 1.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 109310,
        "title": "Motion Graphics Designer & Videographer",
        "url": "https://www.ycombinator.com/companies/lightsprint/jobs/oYNUzBU-motion-graphics-designer-videographer",
        "location": "San Francisco, CA, US / Remote (US)",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$100K - $150K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 112655,
        "title": "Senior Software Engineer",
        "url": "https://www.ycombinator.com/companies/lightsprint/jobs/XUrAD20-senior-software-engineer",
        "location": "San Francisco, CA, US / Remote (San Francisco, CA, US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $200K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "This Y Combinator startup raised $6.1 million to let product managers and designers ship code. See its pitch deck.",
        "url": "https://africa.businessinsider.com/news/this-y-combinator-startup-raised-dollar61-million-to-let-product-managers-and/x2hx28k",
        "date": "Oct 13, 2026"
      },
      {
        "title": "The 11 standout startups from YC's Demo Day, according to VCs | TechCrunch",
        "url": "https://techcrunch.com/2026/06/18/the-11-standout-startups-from-ycs-demo-day-according-to-vcs/",
        "date": "Jun 18, 2026"
      }
    ],
    "launches": [
      {
        "id": 101734,
        "title": "Lightsprint - The Collaborative Product Development Platform",
        "tagline": "Lightsprint lets teams plan visually, preview live and ship with an army of cloud agents",
        "body": "**tldr:** We are building a collaborative platform for software teams to plan visually, preview live and ship with an army of cloud agents. Your whole team, including non-engineers, can now ship end to end reliably.\n\n<https://youtu.be/P9e-5Mg72fc>\n\n**The problem**\\\nSoftware is built by teams. But AI coding agents run alone on one developer’s IDE or terminal.\\\nThe result: teammates are out of sync, planning stays buried in docs, and reviewers approve changes with little context. Execution has never been faster. But coordination has never been more painful. \\\n\\\nThe SDLC was built around coding. Coding has changed, and the SDLC must be updated.\\\n\\\n**The solution**\\\nLightsprint makes agentic software development collaborative. It completes the entire AI loop - not just code gen, but the full cycle from requirements to shipped code, with your whole team in the game.\n\n1. **Visual Plan Mode**: Write a simple requirement. Lightsprint breaks it into a structured plan with tasks, dependencies, and visual options to choose from. Your whole team collaborates with the agent on the plan: see it, annotate it, and approve it. No more blind execution.\n2. **Infinite Parallel Cloud Agents**: Hit execute and Lightsprint spins up multiple agents working your codebase simultaneously. One’s building the frontend component, another is building a dashboard, a third is writing tests. Anyone can steer the agent. What takes a team days gets compressed into hours.\n3. **PR Preview Environments**: Every PR automatically gets a live preview URL. Not a diff. A running instance of the code. Your designer clicks through it and says “yes, ship it” or “change the layout” without reading a single line of code. Everyone on your team ships code now.\n\nWe’ve been using Lightsprint to build Lightsprint, and it has dramatically increased our engineering velocity. Lightsprint is also mobile-friendly so you can fire tasks from wherever you are. That has been a game-changer for us!\n\n\\\n**About Us**\\\nThe team is made of Ben Chan who was the previous CTO of Bitgo (NYSE: BTGO) and has led engineering teams of 300; Heng Hong, an engineering leader from Meta who built FB messenger; and Ben Ong, an ex VC who was part of the venture building arm at Temasek (300B AUM fund) and led products at SEA group (NYSE: SE). \n\n\\\n**Ask**\\\nIf you're shipping with AI agents and want to improve coordination, accelerate feature development, or let non-technical teammates help build — we'd love to chat. Book a demo on <https://lightsprint.ai>",
        "url": "https://www.ycombinator.com/launches/QSs-lightsprint-the-collaborative-product-development-platform",
        "votes": 54,
        "created_at": "2026-05-21T20:02:41.242Z"
      }
    ]
  },
  {
    "id": 31362,
    "name": "Discovered Materials",
    "slug": "discovered-materials",
    "former_names": [
      "MatForge",
      "Matforge",
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        "title": "Field Operator - Brazil",
        "url": "https://www.ycombinator.com/companies/hub/jobs/uJPqDL4-field-operator-brazil",
        "location": "SP, BR / State of São Paulo, BR / São Paulo, SP, BR / São Paulo, State of São Paulo, BR / Remote (SP, BR; State of São Paulo, BR)",
        "type": "Contract",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$100 - $2K / monthly",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 114525,
        "title": "Machine Learning Engineer",
        "url": "https://www.ycombinator.com/companies/hub/jobs/ghznA3v-machine-learning-engineer",
        "location": "Paris, IDF, FR / Paris, Île-de-France, FR",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$90K - $120K",
        "equity_range": "0.02% - 0.20%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 103084,
        "title": "Hub: real-world training data for frontier AI labs and robotics",
        "tagline": "Leveraging a global human network to collect data that don’t exist yet.",
        "body": "Hub provides real-world training data to frontier AI labs and robotics companies. We went to 7-figure revenue agreement on data delivery during the last weeks, working with some of the biggest names in AI and robotics.\\\n\\\n**Why now**\n\nThe gap between frontier models is closing, and internet-scale data is largely exhausted. The only edge left is real-world data that humans have to produce. Every lab now wins or loses on its edge cases, and edge cases need specific data captured by specific people: data that doesn't exist anywhere online. Whoever can go collect the right data first ships the better model first. Human labor is half of global GDP, and almost none of it has been recorded yet.\n\n**What Hub does**\n\nWe capture this data through a global network of humans, across all continents. We route and activate the exact people who fit a lab's brief and deliver in days, not the months it takes to source a generic dataset off the shelf. Because we collect the data ourselves, we can attest its provenance, which you can't do for data you didn't capture. Our ML and QA pipelines then verify and enrich it, so we meet the hardest dataset requirements labs throw at us. The moat isn't the data, it's how fast we can go get it.\n\n**Traction**\n\nFrom 5-figure to 7-figure in revenue agreement on successful data delivery. We now work with some of the biggest frontier AI labs and robotics companies in the world.\n\n**The ask**\n\nTwo asks: —> You're building frontier models or robots and data is your constraint. \\\n—> You're a top robotics engineer, a PhD whose research touches robotics or egocentric data, or someone with deep experience at a leading robotics lab, we're hiring. \\\n\\\nReach out here: [founders@hub.xyz](mailto:founders@hub.xyz).",
        "url": "https://www.ycombinator.com/launches/Qoe-hub-real-world-training-data-for-frontier-ai-labs-and-robotics",
        "votes": 1,
        "created_at": "2026-06-15T14:57:21.570Z"
      }
    ]
  },
  {
    "id": 31377,
    "name": "Limrun",
    "slug": "limrun",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ab10903dc4335cb12beff61e9e9cb75f732ed72a.png",
    "website": "https://lim.run",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Coding agents in the cloud don't work for majority of teams who require native capabilities; they lack XCode for iOS, Emulator for Android, Unity for game development teams. We are on a mission to cloudify every local development utility so that regardless of where it runs, your agent can compose an ideal set of capabilities on the fly so you don't need to run it on your laptop.\r\n\r\nToday, we provide remote services such as XCode, iOS & Android simulators to enable coding agents running in any sandbox to be able to build and iterate over mobile apps, too.\r\n\r\nReplit, Rork, Momentic, Minitap and more agent companies have built mobile development and testing experiences on Limrun platform. Coconote (Quizlet), SorceJobs (W25) and more companies with mobile apps use Limrun with their cloud agents, merging PRs without having to check out the code locally.",
    "one_liner": "Extend cloud sandboxes with iOS, Android and more",
    "team_size": 1,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1779230895,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
      "B2B",
      "Infrastructure"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Growth",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/limrun",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/limrun.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/limrun",
    "x_url": "https://x.com/limrun",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ab10903dc4335cb12beff61e9e9cb75f732ed72a.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Harj Taggar",
      "url": "https://www.ycombinator.com/people/harj-taggar"
    },
    "founders": [
      {
        "user_id": 262589,
        "full_name": "Muvaffak Onuş",
        "title": "Founder/CEO",
        "founder_bio": "Previously at Amazon (intern), SAP, Upbound and QA Wolf. I optimized EMR clusters at Amazon for ML workloads, then worked on Kubernetes at SAP and at Upbound, I was maintainer at Crossplane, open source cloud control plane, and tech lead for provider efforts. At QA Wolf, I founded and led the team that built web & mobile testing sandboxes at global scale.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/mmonus",
        "x_url": "https://x.com/muvaffakonus",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/82cf60ae8c544b701f2e71ac6ed01a5e5264287a.jpg"
      }
    ],
    "jobs": [
      {
        "id": 110499,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/limrun/jobs/SvYNO1K-founding-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$180K - $300K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": [
          "Go",
          "Kubernetes",
          "Distributed Systems",
          "Software Architecture"
        ]
      },
      {
        "id": 111593,
        "title": "Account Executive",
        "url": "https://www.ycombinator.com/companies/limrun/jobs/Bgetg6K-account-executive",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$110K - $140K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 114326,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/limrun/jobs/EK9RXio-founding-engineer",
        "location": "Istanbul, İstanbul, TR",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$75K - $180K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": [
          "Go",
          "Kubernetes"
        ]
      },
      {
        "id": 116542,
        "title": "Developer Relations Engineer",
        "url": "https://www.ycombinator.com/companies/limrun/jobs/j8ucUHG-developer-relations-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$165K - $175K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 101736,
        "title": "Limrun - Your cloud agent can build mobile apps now",
        "tagline": "Extend your cloud agent with XCode, Android and more",
        "body": "TLDR; We provide remote XCode, iOS &amp; Android Simulators and more to extend cloud agents’ capabilities. Replit, Rork, Momentic AI, x1 and many others built on our cloud and now we open it up to all mobile dev teams so you can use your favorite cloud agent for iOS and Android apps too.\n\nIf you have a mobile app, let’s talk! <https://cal.com/team/limrun/mobile-app-dev-in-cloud>\n\n<https://youtu.be/fYkRpsyPLkQ>\n\n---\n\nWhen code is written by humans, it lives on our laptops and PCs, but that's changing now that teams of agents are writing code alongside us. Today, code written by agents is moving to the cloud: Cursor Cloud, Devin AI, Codex Web, in-house solutions with sandboxes and more.\n\nNow the problem is that all these cloud agents have Linux-based sandboxes as opposed to our laptops that we bought specifically for coding. If you want to use sandboxes for iOS development, you don’t have XCode. If you have an Android app, no emulator that works well. There’s no properly priced GPU option for running Unity either.\n\nLimrun is building a cloud that provides these apps as remote services running in the environments they were designed to while letting your agents use them remotely from your favorite sandbox. All you need is a single skill file to teach your agent how to use our remote services. That’s it. No change of sandbox or agent.\n\nToday, we provide 3 services:\n\n* XCode: With a single CLI call, your code is synced, a build is triggered and your agent gets the logs to iterate.\n* iOS Simulator: Your agent can request a simulator to test the app with built-in AX tree or your favorite framework like Appium/Maestro/Detox etc.\n* Android Emulator: Similarly, it can request an emulator that will be proxied via an “adb” tunnel so it’s as if locally running.\n\nThese are not full sandboxes. We provide the highest level interface so your agent can orchestrate what it needs remotely and we optimize the heck out of the rest; hardware encoders for streaming, warm NVMe caches for building, below 1s boot times, on-demand recording, asset storage and more.\n\nHere is an example flow where Cursor Cloud (or an agent in E2B/Daytona/Docker etc) builds an iOS game in Swift:\n\n* Agent takes the issue from Linear and spins up its sandbox.\n* Writes the Swift code and calls the “lim xcode build .” command, streaming logs back.\n* Iterates over compiler errors.\n* Requests an iOS simulator with “lim ios create” and attaches it.\n* Plays the game with batch actions that provide millisecond precision.\n* We return the recording that it reviews, sees the bugs, implements the fixes.\n* Finally, records a demo video and constructs a preview link to drop on the PR.\n\nIt goes from Linear issue to a fully tested PR with demo and preview link that opens in the browser with realtime streaming or you can install to your device over WebUSB without downloading anything.\n\nIf you have a mobile app, let’s talk\\![ https://cal.com/team/limrun/mobile-app-dev-in-cloud](https://cal.com/team/limrun/mobile-app-dev-in-cloud)",
        "url": "https://www.ycombinator.com/launches/QSu-limrun-your-cloud-agent-can-build-mobile-apps-now",
        "votes": 15,
        "created_at": "2026-05-21T20:49:26.104Z"
      }
    ]
  },
  {
    "id": 31382,
    "name": "Kinro",
    "slug": "kinro",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0a6042942a7506c8f7817f8f92ca6675143b71ba.png",
    "website": "https://www.kinro.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We help small business owners get the right coverage.",
    "one_liner": "Autonomous insurance brokerage for small businesses",
    "team_size": 6,
    "industry": "Fintech",
    "subindustry": "Fintech -> Insurance",
    "launched_at": 1773944938,
    "tags": [
      "Fintech",
      "Insurance",
      "Consumer Finance"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
      "Fintech",
      "Insurance"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/kinro",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/kinro.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/kinro-ai/",
    "x_url": "https://x.com/kinroai",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0a6042942a7506c8f7817f8f92ca6675143b71ba.png",
    "app_video_url": null,
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    "company_photos": [],
    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
    },
    "founders": [
      {
        "user_id": 2043734,
        "full_name": "Pierre-Alexandre Kamienny",
        "title": "Founder/CEO",
        "founder_bio": "I am the co-founder & CEO of Kinro, the first autonomous insurance brokerage.\nPreviously Research Scientist at Google DeepMind & Meta.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/pakamienny/",
        "x_url": "https://x.com/pierrealexai",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8011f44491a795f4215a55159a7c9b09eab0bb1e.jpg"
      },
      {
        "user_id": 3399845,
        "full_name": "Parth Ainampudi",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder and CTO of Kinro AI",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/partha42/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fe864aaf327324d1df33b5061c87e9160c1dea01.jpg"
      },
      {
        "user_id": 3226721,
        "full_name": "Corentin Hugot",
        "title": "Founder/COO",
        "founder_bio": "I am the co-founder & COO of Kinro AI. \nKinro enables sales of insurance in AI native platforms like ChatGPT.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/corentin-hugot/",
        "x_url": "https://x.com/corentin_hgt",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/33cfc43b4150b1e60e86301f8a32c4c9e650a725.jpg"
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    ],
    "jobs": [
      {
        "id": 107965,
        "title": "Content & Brand Intern",
        "url": "https://www.ycombinator.com/companies/kinro/jobs/TZ7vUM1-content-brand-intern",
        "location": "San Francisco, CA, US",
        "type": "Internship",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$4K - $10K / monthly",
        "equity_range": "",
        "experience": null,
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 109891,
        "title": "Insurance Producer",
        "url": "https://www.ycombinator.com/companies/kinro/jobs/X8IIJLV-insurance-producer",
        "location": "San Francisco, CA, US / Remote (US)",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$50 - $80",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 103281,
        "title": "Kinro - The first autonomous insurance brokerage",
        "tagline": "Our AI agents handle the full broker workflow 24/7, from finding prospects to binding policies.",
        "body": "![uploaded image](/media/?type=post&id=103281&key=user_uploads/3226721/30408a2d-dd8a-47e8-a0b7-b6c76f94eee2)\n\n_We hesitated between rap and insurance…_\n\nPreviously, we hit $1M in annual revenue building insurance workflows for brokers. Then we realized **the bigger opportunity was replacing them.**\n\nIn the US, there are 36 million SMBs, and 77% are underinsured because distribution is broken. Brokers can’t serve low-premium SMBs profitably: a $2K policy takes almost as much work as a $20K one.\n\nKinro changes that. Our AI agents handle the full broker workflow 24/7, from finding prospects to binding policies.\n\nIn 3 weeks, we got licensed in 30 states, appointed by 15 carriers, and **we bound the first-ever autonomously sold insurance policy.**\n\nBefore Kinro, [Pierre-Alexandre](https://www.linkedin.com/in/pakamienny/) was an AI researcher at DeepMind (post-training Gemini on financial services). [Parth Ainampudi](https://www.linkedin.com/in/partha42/) led ML infra at Zoox and I was Chief Insurance Officer at an MGA (insurtech).\n\n**Asks**\n\nIf you ever need commercial insurance and want us to shop for you, hit us at [kinro.com](http://kinro.com) (yes we bought the domain for $25k, story [here](https://x.com/pierrealexai/status/2060382045571072043))! \n\n![uploaded image](/media/?type=post&id=103281&key=user_uploads/2043734/bac0ad88-22f1-4376-accb-852778c22c1e)\n\n_Post-pivot, Kinro goes to Atlanta to work for 48 straight hours with a retail broker specialized in selling to residential contractors._\n\n**Q&amp;A**\n\n_“Why pivot?”_\n\nWe entered YC with a signed $1M enterprise sale to the 2nd largest auto-insurance comparator in the US a few days before (and a third of that money was wired). \n\nFirst OH, [@Nicolas Dessaigne](https://bookface.ycombinator.com/user/5628) asked us _“Why not become a broker directly?”_. \n\nWe told him we thought we could reproduce that sale with other brokers and maybe carriers. A month in, we hadn’t yet reproduced the same feat (though we had secured a pilot with the 3rd insurance broker on Earth: WTW). It became more and more obvious that integrations were deep (and FDE intensive) and enterprise sales were endless.\n\nWhat felt most off was the gap between what we were doing and our long-term vision: helping small business owners and individuals find the right insurance, wherever they are and whenever they need it.\n\n_“So why not just build that?”_  \\\n\\\nWe always knew we would eventually. Selling to brokers gave us a way to learn while getting paid. But we realized we weren’t learning as fast as we would by building directly for the people we ultimately wanted to serve.\n\n1.5 months later, we came back to him _“Nicolas, we want to become brokers… and this $1M is bad for us”_, he simply answered _“Oh I told you guys, this was obvious”_ (LOL). Walking away from >1M+ from all our clients felt easier after talking about this to [@Nicolas Dessaigne](https://bookface.ycombinator.com/user/5628) and [@Mathilde Collin](https://bookface.ycombinator.com/user/43195). Without YC, we would have waited much longer.\n\n_“What types of insurance do you sell?”_\n\nWe sell small business insurance (General Liability, Business Owner’s policy, Worker’s compensation, Commercial Auto…). We focus on admitted markets where checking carriers' appetite and getting quotes can be fully automated with no communication with carriers.\n\n**This new launch video as embarrassing as it is is worth watching! Send us a text if you want your angels to take care of your business.**",
        "url": "https://www.ycombinator.com/launches/Qrp-kinro-the-first-autonomous-insurance-brokerage",
        "votes": 7,
        "created_at": "2026-06-16T15:35:00.984Z"
      }
    ]
  },
  {
    "id": 31383,
    "name": "Juno",
    "slug": "juno-chat",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3a72885d00b3ce4174fa9f0ed74a4a9a2a0a0898.png",
    "website": "https://junocompanion.com/",
    "all_locations": "London, England, United Kingdom",
    "long_description": "Juno is an AI personal health assistant for the 1B+ people living with chronic illness.\r\n\r\nLaunched in October, Juno now supports 300,000+ patients globally.",
    "one_liner": "AI Health Assistant for Chronic Illness",
    "team_size": 5,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Consumer Health and Wellness",
    "launched_at": 1776751581,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
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      "Consumer Health and Wellness"
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    "regions": [
      "United Kingdom",
      "Europe"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/juno-chat",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/juno-chat.json",
    "year_founded": 2025,
    "city": "London",
    "country": "GB",
    "linkedin_url": "https://www.linkedin.com/company/junocompanion",
    "x_url": "https://x.com/junocompanion",
    "fb_url": null,
    "cb_url": null,
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3a72885d00b3ce4174fa9f0ed74a4a9a2a0a0898.png",
    "app_video_url": null,
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    "company_photos": [],
    "primary_partner": {
      "name": "David Lieb",
      "url": "https://www.ycombinator.com/people/david-lieb"
    },
    "founders": [
      {
        "user_id": 2576001,
        "full_name": "Isaac Tolley",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder & CTO of Juno. Previously built medical chatbots for the NHS, Founder's Associate at Mimotype (protein engineering) and neuroscience researcher at UCL. Studied Molecular Biology at UCL, ranked 2nd.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/isaactolley/",
        "x_url": "https://x.com/isaactolley_",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8f83139574c6a23af84652520a1767c17eb1e64c.jpg"
      },
      {
        "user_id": 2575827,
        "full_name": "Marshall Gould",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder & CEO of Juno. MSc in Genomic Medicine from the University of Oxford, ranked 1st. Author of 3 scientific publications and winner of multiple hackathons.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/marshall-gould/",
        "x_url": "https://x.com/MarshallJGould",
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    "jobs": [
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        "id": 98425,
        "title": "Founding Mobile Engineer at Juno",
        "url": "https://www.ycombinator.com/companies/juno-chat/jobs/tuWodMs-founding-mobile-engineer-at-juno",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "iOS",
        "salary_range": "$130 - $200K",
        "equity_range": "0.50% - 1.00%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": [
          "Android",
          "iOS",
          "React Native"
        ]
      },
      {
        "id": 99251,
        "title": "AI Founding Engineer at Juno",
        "url": "https://www.ycombinator.com/companies/juno-chat/jobs/TPnzNRU-ai-founding-engineer-at-juno",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$130K - $200K",
        "equity_range": "0.50% - 1.00%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": [
          "Python",
          "Machine Learning",
          "LLMs"
        ]
      },
      {
        "id": 113633,
        "title": "Growth & Operations Intern",
        "url": "https://www.ycombinator.com/companies/juno-chat/jobs/RIUxbN6-growth-operations-intern",
        "location": "San Francisco, CA, US / London, England, GB / Remote (US)",
        "type": "Internship",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$2K - $3K / monthly",
        "equity_range": "",
        "experience": null,
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 113667,
        "title": "Social Media & Content Intern",
        "url": "https://www.ycombinator.com/companies/juno-chat/jobs/4VLpYxw-social-media-content-intern",
        "location": "London, England, GB / San Francisco, CA, US / Remote (US)",
        "type": "Internship",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$2K - $3K / monthly",
        "equity_range": "",
        "experience": null,
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 114035,
        "title": "Social Media Manager",
        "url": "https://www.ycombinator.com/companies/juno-chat/jobs/Nk0pWpg-social-media-manager",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$60K - $110K",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "How These Three AI Healthcare Companies Are Restoring The Human Touch",
        "url": "https://www.forbes.com/sites/alisoncoleman/2026/03/04/how-these-three-ai-healthcare-companies-are-restoring-the-human-touch/",
        "date": "Mar 03, 2026"
      }
    ],
    "launches": [
      {
        "id": 101749,
        "title": "Juno - AI Health Assistant for Chronic Illness",
        "tagline": "Juno helps people living with chronic illness reduce their symptoms and shorten the path to a diagnosis",
        "body": "Hey YC! 👋\n\nWe're [Isaac](https://www.linkedin.com/in/isaactolley/) and [Marshall](https://www.linkedin.com/in/marshall-gould/), co-founders of [Juno](https://junocompanion.com/).\n\n**TL;DR:** Juno is an AI personal health assistant for the 1B+ people living with chronic illness. Over 80,000 people already use Juno to reduce their symptoms and shorten the path to a diagnosis.\n\n**_Ask:_** Know someone living with chronic illness? Send them [Juno](https://junocompanion.com/) - we support a broad range of conditions including fibromyalgia, long COVID, POTS, ME/CFS, EDS, endometriosis, lupus, MS and many more.\n\n<https://youtu.be/KIxKP8iUG10>\n\n#### ❌ The Problem\n\nOver 1 billion people live with chronic illness: fibromyalgia, long COVID, POTS, ME/CFS, EDS, endometriosis, lupus, MS and many more.\n\n* Patients spend months waiting for appointments, then get 15 minutes to explain years worth of symptoms\n* The average diagnosis takes 7.6 years\n* Many now turn to ChatGPT and Claude for advice, but without continuous context, the advice is generic and rarely actionable\n\n#### 👬 Our Story\n\nWe started building Juno after growing up with chronic conditions ourselves. Isaac waited 14 years for an eosinophilic bronchitis diagnosis. Marshall lives with ME/CFS and is still searching for something that helps. We spent the last year conducting research at Oxford and UCL to understand what makes people engage with medical chatbots, to allow Juno to ask the right questions at the right time and comprehensively understand each user’s health. \n\n![uploaded image](/media/?type=post&id=101749&key=user_uploads/2576001/267e13c1-8296-4daf-8903-67cc817c56de)\n\n#### 🩺 The Solution\n\nJuno builds a longitudinal health profile from your conversations, biometrics, and medical history to provide:\n\n* **💬 Personalised symptom advice** - guidance that actually makes sense for your body\n* **📊 Continuous tracking** - symptoms logged automatically through natural conversation, by text or voice\n* **🔍 Pattern detection** - identifies triggers and patterns over weeks and months\n* **📄 Appointment-ready PDFs** - turn months of data into a summary your doctor can instantly understand\n\n![uploaded image](/media/?type=post&id=101749&key=user_uploads/2576001/18c9d3ee-5e7f-4b89-9465-09ecf9ea380e)\n\n#### 📈 Where we’re at (after 6 months)\n\n* **80,000 users** globally, grown primarily through our organic content\n* **9,000+ five-star** App Store reviews\n\n![uploaded image](/media/?type=post&id=101749&key=user_uploads/2576001/277ec7df-3d59-4171-bb3b-e5fbda59ff1c)\n\n#### 🙏 Our Asks\n\n1. **Know someone with a chronic illness?** Please share Juno with them. We support a wide range of conditions including fibromyalgia, long COVID, POTS, ME/CFS, EDS, endometriosis, PCOS, lupus, MS, and many more. We'd love their feedback and hope it can be helpful.\n2. **Intros to operators who've scaled consumer health products.** We're growing fast but Juno can reach far more people.\n\n👉 Please share any feedback and contact us at [team@juno-chat.com](mailto:team@juno-chat.com)\n\n Download the app here: [https://junocompanion.com](https://junocompanion.com/)",
        "url": "https://www.ycombinator.com/launches/QT7-juno-ai-health-assistant-for-chronic-illness",
        "votes": 26,
        "created_at": "2026-05-22T02:55:43.272Z"
      }
    ]
  },
  {
    "id": 31386,
    "name": "Interfaze",
    "slug": "interfaze",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/cbbb1bb306037fdebdde3c7b1d20cb434879fb79.png",
    "website": "https://interfaze.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Interfaze is an AI model built on a new architecture that merges specialized DNN/CNN models with transformers for tasks that require deterministic output and high consistency like Document intelligence, Object detection, Classification, Audio understanding and more.\r\n\r\nInterfaze outperforms large lab models like Gemini flash, Claude Sonnet and the GPT-5.4 mini series\r\n\r\nArchitecture paper: https://arxiv.org/abs/2602.04101\r\nFull open benchmarks: https://interfaze.ai/leaderboards",
    "one_liner": "AI model built for high accuracy deterministic tasks",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1774812127,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
      "B2B",
      "Infrastructure"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/interfaze",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/interfaze.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/interfaze-ai",
    "x_url": "https://x.com/interfaze_ai",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/jigsawstack",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/cbbb1bb306037fdebdde3c7b1d20cb434879fb79.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [
      "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/e1b4669e7ba400f6249ca5fc9776423b8b2478f7.png"
    ],
    "primary_partner": {
      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
    },
    "founders": [
      {
        "user_id": 1618136,
        "full_name": "Yoeven D Khemlani",
        "title": "Founder/CEO",
        "founder_bio": "8 years in edge computer vision research | 2nd time founder",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/yoeven",
        "x_url": "https://x.com/yoeven",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/48506dcf75872046a6d42638b3e2a07552e1a7ca.jpg"
      },
      {
        "user_id": 2229538,
        "full_name": "Harsha Vardhan Khurdula",
        "title": "Founder/CTO",
        "founder_bio": "Building https://interfaze.ai",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/harsha-vardhan-khurdula-99b400183/",
        "x_url": "https://x.com/khurdula",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9136e9e55a80d9ebea288f0e36dc19b8d9bd272f.jpg"
      }
    ],
    "jobs": [
      {
        "id": 107799,
        "title": "Applied AI Engineer & Researcher",
        "url": "https://www.ycombinator.com/companies/interfaze/jobs/LYxZ0kI-applied-ai-engineer-researcher",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$150K - $350K",
        "equity_range": "0.50% - 2.00%",
        "experience": "1+ years",
        "visa": "Will sponsor",
        "skills": [
          "C++",
          "Rust",
          "Torch/PyTorch",
          "Docker",
          "CUDA",
          "Transformers"
        ]
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 99878,
        "title": "Interfaze - Deterministic AI for developer tasks: OCR, Object detection, Web scraping, STT, Classification and more",
        "tagline": "A new model architecture that outperforms SOTA LLMs on deterministic tasks that require high consistency and accuracy",
        "body": "![uploaded image](/media/?type=post&id=99878&key=user_uploads/1618136/2310c230-6719-4913-ba16-43c8cab6c2d9)\n\n**tldr:** LLMs are built for human-in-the-loop tasks which are highly non-deterministic in nature. We built an AI model for tasks that require high accuracy and verifiable data you can build workflows around.\n\nInterfaze is an AI model built on a new architecture that combines specialized DNN+CNN models with transformers for developer tasks that require deterministic output and high consistency like:\n\n* Vision (OCR, Object detection, GUI) \n* Structured web extraction\n* Audio (STT, Diarization, Audio semantics)\n* Classification (Image, Text)\n* Web search and more\n\n**Try here:** <https://interfaze.ai>\n\nIf you’ve ever tried to build a production application using LLMs for tasks like OCR, web scraping, or strict structured data extraction, you already know the pain: hallucinated keys, broken JSON, hidden inaccurate data and massive latency spikes.\n\nYou usually end up chaining multiple open source models together just to get a reliable result but face challenges with scaling or being stuck with outdated models from providers like AWS, Azure and GCP.\n\n**Model comparison**\n\n![uploaded image](/media/?type=post&id=99878&key=user_uploads/1618136/b270b0f5-76f2-4d11-808a-d31f7e977b07)\n\n_Check out the latest benchmarks on our site [here](https://interfaze.ai)._\n\n**OCR example for KYC**\n\n![uploaded image](/media/?type=post&id=99878&key=user_uploads/1618136/619ba060-a307-46b5-8101-601b03aaa1c4)\n\nBeyond higher accuracy, now you get additional data that allows you to both validate your data and build reliable pipelines as a developer.\n\nA subset of the additional metadata you get when you run an OCR task 👇\n\n![uploaded image](/media/?type=post&id=99878&key=user_uploads/1618136/6f8e5580-492b-447f-bed4-c2cdc4470750)\n\n_Note: the confidence score value can be used to build verifiable systems. bounding boxes can be used to trace items for consistent tasks with guessing._\n\n**Web scraping for LinkedIn**\n\nWe all know how hard it is to scrape sites like LinkedIn, whether you are switching proxy providers, rewriting your scripts, or even getting your IP banned.\n\n![uploaded image](/media/?type=post&id=99878&key=user_uploads/1618136/7ad5d97e-a076-4698-91bd-5da3dcd5ff22)\n\n\nInterfaze is trained to work with the browser infra beyond just looking at pure html like traditional LLMs. Allowing it to learn new work around, rotate proxies when needed and figure out how to scrape any site under 30 seconds.\n\n**GUI/Computer use - Filling a form**\n\n![uploaded image](/media/?type=post&id=99878&key=user_uploads/1618136/cc344350-9e10-446c-89ee-f6c8db3d5602)\n\n**Object Detection - Construction site equipment check**\n\n![uploaded image](/media/?type=post&id=99878&key=user_uploads/1618136/eb58811e-5a6d-4563-b666-538255f5b630)\n\n**Architecture**\n\n![uploaded image](/media/?type=post&id=99878&key=user_uploads/1618136/08c716d5-e2b5-487e-bade-c469013f1a5a)\n\nWe spent a year researching a new architecture to solve this problem. We just couldn’t accept that attention is all you need, we think you need a new interfaze 😉\n\nFull paper: <https://arxiv.org/abs/2602.04101> (Accepted into IEEE CAI 2026)\n\n**Team**\n\n![uploaded image](/media/?type=post&id=99878&key=user_uploads/1618136/38e298b2-92cd-4476-8da0-913ba315bb75)\n\nI've been a developer and ML engineer for the past 8 years, working with ML models on the edge for real-world experiences like motion capture and navigation mapping to backend workflows like OCR, Web scraping pipelines, and more. Socials: [LinkedIn](https://www.linkedin.com/in/yoeven/?skipRedirect=true), [X](https://x.com/yoeven)\n\nHarsha has over 5 years of experience specializing in computer vision, reinforcement learning for SLMs, and AI research with multiple peer-reviewed papers. Socials: [LinkedIn](https://www.linkedin.com/in/harsha-vardhan-khurdula/), [X](https://x.com/khurdula)\n\nInterfaze X: <https://x.com/interfaze_ai><https://interfaze.ai/>\\\nInterfaze LinkedIn: <https://www.linkedin.com/company/interfaze-ai>\n\nSite: [https://interfaze.ai](https://interfaze.ai/)\n\nDocs: <https://interfaze.ai/docs>",
        "url": "https://www.ycombinator.com/launches/Pyw-interfaze-deterministic-ai-for-developer-tasks-ocr-object-detection-web-scraping-stt-classification-and-more",
        "votes": 32,
        "created_at": "2026-04-20T15:59:34.348Z"
      }
    ]
  },
  {
    "id": 31388,
    "name": "Elyra",
    "slug": "elyra",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/dfc0518b0601b15bf131b045d7c9085b3ab4ac5e.png",
    "website": "https://www.elyrasystems.com/",
    "all_locations": "Stockholm, Stockholm County, Sweden",
    "long_description": "Elyra is an AI reservation system for restaurants. Instead of missing 40% of incoming phone calls and taking days to reply to emails, leaving over $100,000 in bookings on the table every year, restaurants get AI agents that answer every call and email instantly, 24/7, connected to a reservation system that optimizes table placements in real time so empty seats get filled with the right guests.\r\n\r\nFelix and Alan met in primary school in Stockholm and have been building things together ever since.\r\n\r\nWe launched with a single restaurant and within weeks they hit record occupancy, bookings they used to miss were suddenly being captured automatically, and empty Tuesday nights started filling up. Today we power top restaurants groups. \r\n\r\nThere are over 1 million restaurants in the US and Europe alone. The average restaurant loses $100K+ a year to missed calls and slow email replies. At our current pricing, that's a $10B+ market opportunity, and we're the only system that handles the call, the email, and the table allocation in one place.",
    "one_liner": "AI Reservation System for Restaurants ",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1776156708,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "Sweden",
      "Europe"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/elyra",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/elyra.json",
    "year_founded": null,
    "city": "Stockholm",
    "country": "SE",
    "linkedin_url": "https://www.linkedin.com/company/elyrasystems",
    "x_url": "https://x.com/elyrasystems",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/dfc0518b0601b15bf131b045d7c9085b3ab4ac5e.png",
    "app_video_url": null,
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    "company_photos": [],
    "primary_partner": {
      "name": "Pete Koomen",
      "url": "https://www.ycombinator.com/people/pete-koomen"
    },
    "founders": [
      {
        "user_id": 2444964,
        "full_name": "Felix Odeberg Glasenapp",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder and CEO of Elyra. Studied Engineering Physics at KTH. Built Elyra after seeing restaurants lose hundreds of thousands in bookings to missed calls and slow email replies.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/felixoglasenapp/",
        "x_url": "https://x.com/FelixOG_",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7c4c01cc9d3d06dfcd9484ae22bfac083f5890cf.jpg"
      },
      {
        "user_id": 2774754,
        "full_name": "Alan Mando",
        "title": "Founder",
        "founder_bio": "Co-Founder at Elyra (YC P26)",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/awmando/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3729f963bf9dbc62035bbd0bd25807a78a660f9e.jpg"
      }
    ],
    "jobs": [
      {
        "id": 105845,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/elyra/jobs/butuYZH-founding-engineer",
        "location": "Stockholm, Stockholm County, SE",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$100K - $150K",
        "equity_range": "0.50% - 1.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
        "skills": [
          "TypeScript"
        ]
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 101421,
        "title": "Elyra | AI Reservation System for Restaurants",
        "tagline": "AI Agents handling every call, email, and booking for restaurants.",
        "body": "\\\n**Elyra is the AI reservation system for restaurants.**\n\nWe’re building AI agents that answer every phone call and email instantly, connected to a reservation system that optimizes table placements in real time. Already powering top restaurant groups.\n\n[**https://youtu.be/dqK4bC1eBVM**](https://youtu.be/dqK4bC1eBVM)\n\n[Book a demo →](https://www.elyrasystems.com/demo)\n\n**The Problem**\n\nImagine running a store where 4 out of every 10 customers walk up, find the door locked, and leave.\n\nThat's how restaurants operate today.\n\n40% of incoming phone calls go unanswered. Emails sit for days. This leads to high-value bookings getting lost: large groups, private events, special occasions, corporate dinners. The bookings that fill slow Tuesday nights and turn an average month into a great one.\n\nRestaurants run on thin margins and one missed call can mean a €2,000 group booking lost to a competitor. Over a year, the average mid-sized restaurant leaves more than $100,000 on the table simply because no one answered in time.\n\nYet the entire industry still relies on waiters manually handling calls and emails during service. Staff get overwhelmed, emails get buried, and the reservation systems on the market do nothing to fix it. They're glorified calendars.\n\n**The Solution**\n\nElyra is the AI reservation system for restaurants. Three things, working together:\n\n* **Voice agent:** Answers every phone call. Handles all reservations, modifications, and questions about the menu, dietary requirements, and policies.\n* **Email concierge:** Replies to every email instantly, in the restaurant’s tone of voice. Large groups, special requests, and follow-ups handled.\n* **Smart table allocation:** Fit more guests in the restaurant. Optimizes table placements in real time while placing guests at the tables that fit them best.\n\nEvery call, email, and booking becomes a data point that makes the next visit better, turning first-time guests into regulars.\n\n**Why It Matters**\n\nHere's what our users say:\n\n_\"Some regulars thought we hired a new waiter.\"_\n\n_\"We made back a year's cost in two weeks.\"_\n\n_\"Aha, this is what AI should feel like.\"_\n\nWaiters can finally focus on the guests in front of them instead of a ringing phone. Managers see the bookings they used to lose close automatically. Owners get empty tables filled, margins back, and guests returning.\n\nElyra is already live across multiple restaurant groups, with new venues seeing record occupancy within weeks of launch.\n\n**The Team**\n\n![uploaded image](/media/?type=post&id=101421&key=user_uploads/2444964/31471be3-73f3-43ef-bf57-565b801d42cc)\n\nElyra was founded by **Felix Odeberg Glasenapp** and **Alan Mando**, who met in primary school in Stockholm and have been building things together ever since. Felix studied Engineering Physics at KTH. Alan studied Business at WU Vienna.\n\nTo build Elyra, the founders spent weeks inside restaurants, taking phone calls, standing at the waiters stand, and watching service unfold. Every product decision came from that.\n\n**See Elyra in Action**\n\n[Book a demo ](https://www.elyrasystems.com/demo)|[ ](https://elyrasystems.com)[elyrasystems.com](http://elyrasystems.com)",
        "url": "https://www.ycombinator.com/launches/QNp-elyra-ai-reservation-system-for-restaurants",
        "votes": 13,
        "created_at": "2026-05-16T18:46:24.476Z"
      }
    ]
  },
  {
    "id": 31393,
    "name": "KelAI",
    "slug": "kelai",
    "former_names": [
      "KelAI",
      "KelAI Capital",
      "KelAI",
      "KELAI"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/173bcf6c0b9d00045db94da34f174baaafeb2255.png",
    "website": "https://kelaitech.com/",
    "all_locations": "New York City, NY, USA",
    "long_description": "Founded by former WorldQuant portfolio manager & head of event driven systematic strategies Jeremie Cohen, KelAI is building the autonomous alpha engine for hedge funds, traders and institutional investors. \r\n\r\nInvestment teams now have more data, tools and compute than ever, but research still runs across siloed systems and inefficient workflows. KelAI turns that fragmented process into a compounding AI-native engine that continuously finds, tests and validates trading signals at a pace no human team can match.",
    "one_liner": "The AI Quant: Autonomous Alpha Engine for Funds and Traders.",
    "team_size": 3,
    "industry": "Fintech",
    "subindustry": "Fintech -> Asset Management",
    "launched_at": 1779077553,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
      "Fintech",
      "Asset Management"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/kelai",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/kelai.json",
    "year_founded": 2025,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/kelai-capital/",
    "x_url": "https://x.com/kelaicapital",
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/173bcf6c0b9d00045db94da34f174baaafeb2255.png",
    "app_video_url": null,
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    "primary_partner": {
      "name": "Harj Taggar",
      "url": "https://www.ycombinator.com/people/harj-taggar"
    },
    "founders": [
      {
        "user_id": 3403044,
        "full_name": "Jeremie Cohen",
        "title": "Founder/CEO",
        "founder_bio": "Founder and CEO of KelAI. Managed a large global systematic equity book at WorldQuant and lead an ML team at Millennium Management. Nuclear engineer by training.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jeremcoh/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1cc70ed680139ff8181aad82080c0ab8cadaad37.jpg"
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    "jobs": [
      {
        "id": 99248,
        "title": "Applied AI Engineer",
        "url": "https://www.ycombinator.com/companies/kelai/jobs/kQn2Z4d-applied-ai-engineer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$130K - $215K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 99249,
        "title": "Quant Researcher",
        "url": "https://www.ycombinator.com/companies/kelai/jobs/iXYw0MB-quant-researcher",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Data science",
        "salary_range": "$150K - $200K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 99250,
        "title": "Senior Infrastructure Engineer",
        "url": "https://www.ycombinator.com/companies/kelai/jobs/Pposw25-senior-infrastructure-engineer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$170K - $220K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
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    ],
    "news": [
      {
        "title": "What Y Combinator's Latest Batch Reveals About The Future",
        "url": "https://www.forbes.com/sites/dariashunina/2026/06/04/what-y-combinators-latest-batch-reveals-about-the-future/",
        "date": "Jun 03, 2026"
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    ],
    "launches": [
      {
        "id": 102015,
        "title": "KelAI - Autonomous AI research engine for hedge funds",
        "tagline": "An agentic AI platform that turns hedge fund research into a compounding system.",
        "body": "**TL;DR**\n\nKelAI is an AI research engine for hedge funds and institutional investors. It captures the full investment research process in one platform and runs it autonomously, from idea generation to data analysis, backtesting, validation, monitoring, and PM feedback.\n\nI spent six years at WorldQuant managing a large systematic equity book, and before that led machine learning at Millennium Management. I saw firsthand how hedge fund research is constrained by human throughput and lost context. Teams can only explore so many ideas, and much of what they learn gets scattered across siloed systems. I am building KelAI because I lived this problem.\n\nKelAI uses AI agents to turn research into a continuous loop, while keeping every new idea grounded in the fund’s knowledge base.\n\n[](https://www.youtube.com/watch?v=GyqGwltsNjk)\n\n**The Problem**\n\nHedge funds scale with research capacity, but scaling with headcount is expensive and hard.\n\nEvery PM wants more ideas tested, more datasets explored, more hypotheses validated, and more live signals monitored. But even great teams are limited by human bandwidth.\n\nAt the same time, the knowledge they gather is fragmented:\n\nA PM has an idea in a meeting.\n\nA researcher backtests it in their research environment.\n\nA test fails for a useful reason.\n\nA signal works in one universe but not another.\n\nA live model decays.\n\nA risk constraint evolves.\n\nA CIO gives feedback.\n\nThese are all valuable sources of information, but they live across emails, notebooks, chats, dashboards, backtests, meetings, and memory. Most of that context gets lost. Teams repeat work, miss old lessons, and lose institutional knowledge when people move on.\n\n**The Solution**\n\nKelAI unifies the research loop into one continuous workflow, empowering institutional investors with an AI research team they can scale on demand, while capturing the full context so every cycle improves the next one.\n\nIt connects to a fund’s data, mandate, universe, risk rules, and research history. \\\nThen AI agents run the full research process autonomously:\n\n\\- Generate trading signal ideas.\n\n\\- Write and test research code.\n\n\\- Analyze market, fundamental, proprietary, and alternative data.\n\n\\- Run backtests and validation.\n\n\\- Track why ideas worked or failed.\n\n\\- Monitor live signal performance.\n\n\\- Learn from PM feedback and prior research.\n\nKelAI does not remove humans from the loop. PMs still manage the portfolio and own the decisions. \n\n**Why Now**\n\nAI agents can now do more than answer questions. They can write code, query data, run long workflows, test hypotheses, and keep context across repeated research cycles.\n\nThat matters in hedge funds because alpha is not just one idea. It is the process of finding, testing, improving, rejecting, and combining many ideas over time.\n\nKelAI turns that process into software.\n\n**Why Us**\n\nThe hard part is not saying \"AI for hedge funds.\" The hard part is knowing how hedge fund research really works.\n\nI built KelAI from experience. I managed a large systematic equity book at WorldQuant, worked on machine learning at Millennium Management and worked on data engineering at SolveBio.\\\nI have spent my career building systems that turn data into decisions.\n\nKelAI is designed around the real workflows of institutional investors: data rights, IP boundaries, risk limits, research output, reporting language, and portfolio manager preferences.\n\n**Traction**\n\nKelAI has been deployed with an institutional investor, and its signals have been running since October 2025, demonstrating that it delivers valuable alpha in production. KelAI also has commitments from prominent institutional players and is in active conversations with several large hedge funds and financial institutions.\n\n**Ask**\n\nIf you run capital, research, data, or innovation at a hedge fund or institutional investment firm, I would love to talk.\n\nWe are also hiring senior ML engineers and quant engineers who want to build the autonomous research engine for markets.\n\nEmail us at [contact@kelaicapital.com](mailto:contact@kelaicapital.com).\n\nFor job applications visit <https://kelaitech.com/careers>",
        "url": "https://www.ycombinator.com/launches/QXP-kelai-autonomous-ai-research-engine-for-hedge-funds",
        "votes": 43,
        "created_at": "2026-05-27T13:24:07.670Z"
      }
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  },
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    "id": 31402,
    "name": "Standout",
    "slug": "standout",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0cae3b4c599e9e6ff92522ffbf541670c1a97669.png",
    "website": "https://standout.work",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Standout gives every talent and company an autonomous agent that represents them, assess the other side, and makes intros when it matters.\r\n\r\nWhy it matters? Because this is hiring today:\r\n- Talent use AI to apply to 100s of jobs - this is spam.\r\n- Founders/Recruiting send 100s of AI-generated messages to hire the same talent - this is spam.\r\n\r\nThis has to stop.\r\n\r\nTalent stays fully anonymous until they accept an intro. The best way for passively exploring the market and not missing a life changing opportunity.\r\n\r\nIn 1 month, 10k talent / 60 companies / 100 intros.",
    "one_liner": "Agentic hiring marketplace",
    "team_size": 7,
    "industry": "B2B",
    "subindustry": "B2B -> Recruiting and Talent",
    "launched_at": 1773415057,
    "tags": [],
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
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      "Recruiting and Talent"
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    "regions": [
      "United States of America",
      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/standout",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/standout.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/standoutwork",
    "x_url": "https://x.com/standoutwork",
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    "primary_partner": {
      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
    },
    "founders": [
      {
        "user_id": 2886794,
        "full_name": "Alexis Aftalion",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder & CEO @ Standout. \nPreviously launched Zealy a linear for discord communities. Scaled it to 1.5M MAU and $3M ARR in 12 months. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/alexisaftalion",
        "x_url": "https://x.com/alexisaftalion",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/27a8f4f2414687455fd2b531a9e0b54a982bc62f.jpg"
      },
      {
        "user_id": 1349620,
        "full_name": "Witold de La Chapelle",
        "title": "Founder/CRO",
        "founder_bio": "Co-Founder & CTO @ Standout\nBuilt a jobboard with 100k MAU, ex-Engineer @ Dropbox, Samsara, Chime",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/witold-dlc/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3b88168a15c629ba6eeac416dd6b5b416cc51612.jpg"
      }
    ],
    "jobs": [
      {
        "id": 94229,
        "title": "Founding AI Product Engineer",
        "url": "https://www.ycombinator.com/companies/standout/jobs/IHasdYq-founding-ai-product-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$160K - $240K",
        "equity_range": "1.00% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 102879,
        "title": "Founding Sales / Talent Scout",
        "url": "https://www.ycombinator.com/companies/standout/jobs/qyvBuwy-founding-sales-talent-scout",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$170K - $220K",
        "equity_range": "0.10% - 0.20%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 102530,
        "title": "Standout - A Talent Agent For Builders",
        "tagline": "An autonomous agent doing intros between talent and startup founders from 1 single command",
        "body": "**TL;DR:** Standout is a CLI that assesses how you actually build, then gets you introduced to the startups worth your next move.\n\nYou don't upload a resume. \n\nYou open your terminal, type 1 command **‘npx standout’** and show your work. \n\nThe CLI evaluates how you think, build, and debug, and turns that into a verified signal of what you can really do. When a role fits, your agent makes the intro. \n\nFree for talent, success-only for companies.\n\n<https://youtu.be/ZvcRQiwxBbU>\n\n**The Product:** **a CLI that proves you**\n\nResumes and LinkedIn are proxies. They tell a company what you claim, never what you can do. So we moved the assessment to where the work actually happens: the terminal.\n\nRun Standout in your CLI and it evaluates real skill, how you approach a problem, how you build, how you challenge AI. The output isn't a score on a test. It's a living profile of your capability that no resume can fake and no keyword filter can bury.\n\n![uploaded image](/media/?type=post&id=102530&key=user_uploads/2886794/22a37a4e-49e2-4da9-a649-9f7f04a2a78c)\n\nThat profile is the product. Everything else follows from it.\n\n**The CLI is what makes the intro real**\n\nOnce you're assessed, an autonomous agent represents you. It reads the roles that never hit the market, matches them against what you've actually proven, and only makes the intro when the fit is real.\n\nThe intro lands as a single message: who this is, what they can do (proven, not claimed), why they fit, why now. No applications. No cold outreach. No spam on either side.\n\n•⁠  ⁠Proof, not proxies — capability measured in the terminal, not inferred from a title.\n\n•⁠  ⁠Privacy by default — you stay invisible until you greenlight a role. Identity is never exposed without consent.\n\n•⁠  ⁠Intros in hours, not weeks — the assessment is already done, so the match is instant.\n\n•⁠  ⁠Aligned cost — free for talent, companies pay only on hire. No retainer, no exclusivity.\n\n![uploaded image](/media/?type=post&id=102530&key=user_uploads/2886794/4ce0af3f-d51b-4375-9715-48c2a7684e39)\n\n**Starting with the startup ecosystem**\n\nFounding engineers, early product hires, GTM leaders. The roles where the right person changes a company's trajectory and the wrong one sets it back six months.\n\nAlready representing 10,000+ builders, matched with 60+ startups from P26 pre-seed teams to Series B and unicorns.\n\nIf you are looking for the role that will define your next decade, open your terminal and prove your worth.\n\nIf your next five hires will define your company, plug Standout into your stack.",
        "url": "https://www.ycombinator.com/launches/Qfi-standout-a-talent-agent-for-builders",
        "votes": 8,
        "created_at": "2026-06-04T14:58:17.999Z"
      },
      {
        "id": 100833,
        "title": "Standout - The Agentic Hiring Marketplace",
        "tagline": "Talent and companies each get an agent that makes intros when it matters",
        "body": "**TL;DR:** We're a talent agent connecting the world's best startup talent with the companies building what's next.\n\nWe don't sell software, we deliver introductions. Both sides get an autonomous agent that vets the other end and only makes the intro when the fit is real. Introductions in hours, not weeks. Free for talent, success-only for companies. One month in: 100 intros done.\n\nHiring is broken on both sides. We're rebuilding it around agents.\n\n<https://youtu.be/7LdjJO-ibdI>\n\n**❌ The Problem**\n\nHiring should match the right people to the right roles. It rarely does. Five failures repeat on every search, and almost no one escapes them.\n\n* **Spam** — Talent fire hundreds of AI applications. Recruiters fire hundreds of AI messages. Both inboxes drown in noise.\n* **Visibility** — Early stage founders struggle to reach the talent worth hiring. The best talent gets buried in the inbound. Both sides struggle to stand out.\n* **Asymmetry** — Talent see titles and comp bands. Founders see resumes and LinkedIn. Neither side sees what actually matters.\n* **Privacy** — Looking around means risking your current job. There's no way to say \"I'm open\" without saying \"I'm leaving”\n* **Cost** — Recruiters take 20–30% of first-year salary, after weeks of back-and-forth, and the role still goes to someone they didn't find.\n\n**✅ Our Solution**\n\nStandout is an agentic hiring marketplace. Talent and companies each get an autonomous agent that represents them, vets the other side, and only makes the intro when the fit is real.\n\n* **Spam, gone** — No applications, no cold outreach. The agent only surfaces matches when the fit is real.\n* **Visibility, restored** — We see the roles that never hit the market and bring them to the people they're meant for.\n* **Symmetric context** — Both sides see what actually matters. The intro lands as a single message: who this is, why they fit, why now.\n* **Privacy by default** — Talent stay invisible until they greenlight a role. Identity is never exposed without consent.\n* **Aligned cost** — Free for talent. Companies pay only on hire — no retainer, no exclusivity.\n\n![uploaded image](/media/?type=post&id=100833&key=user_uploads/2886794/19cf3727-8a22-4910-b69a-12bde13936c1)\n\n**Starting with the startup ecosystem**\n\nWe're starting with founding engineers, early product hires, and GTM leaders — the roles where the right person changes a company's trajectory and the wrong person sets it back six months.\n\nWe're already representing 10,000+ builders, matched with 60+ startups from P26 pre-seed teams to Series B unicorns.\n\nIf your next five hires will define your company, plug Standout into your stack.\n\nIf your next role will define your decade, get represented.\n\n**Our Ask**\n\n* **If you're a builder** — get represented at [standout.work](http://standout.work). Free, three-minute onboarding, and we start matching you the same day.\n* **If you're hiring** — book a demo at <https://cal.com/team/standout/hire>. We'll send you the first candidates within days.\n* **If you know someone** — a builder who deserves better than a job board, or a founder drowning in inbound send them our way.\n\n**The Team**\n\n**Alexis Aftalion** — Previously launched Zealy a linear for discord communities. Scaled it to 1.5M MAU and $3M ARR in 12 months.\n\n**Witold de La Chapelle** — Built a jobboard with 100k MAU, ex-Engineer @ Dropbox, Samsara, Chime.\n\n![uploaded image](/media/?type=post&id=100833&key=user_uploads/2886794/73e8595d-6a1f-4295-9a0f-47c591083490)\n\n",
        "url": "https://www.ycombinator.com/launches/QEL-standout-the-agentic-hiring-marketplace",
        "votes": 14,
        "created_at": "2026-05-07T05:59:23.895Z"
      }
    ]
  },
  {
    "id": 31411,
    "name": "Andco",
    "slug": "andco",
    "former_names": [],
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    "website": "http://www.useandco.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Our agents retrieve and synthesize all the records law firms need to start a personal injury case. We get police reports, open insurance claims, and retrieve all the medical records and bills needed to build a case.",
    "one_liner": "Agents that build personal injury cases",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Legal",
    "launched_at": 1777434223,
    "tags": [],
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
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      "Legal"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/andco",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/andco.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/andcolegal/",
    "x_url": "https://x.com/andcolegal",
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    "primary_partner": {
      "name": "David Lieb",
      "url": "https://www.ycombinator.com/people/david-lieb"
    },
    "founders": [
      {
        "user_id": 1126674,
        "full_name": "Ryan Xue",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder/CEO at Andco (X26). Previously co-founder/CEO at Layup (W23). First business hire at Origin, scaling the company from pre-product to hundreds of enterprises and 100K+ users across 40+ countries. Previously consultant at McKinsey and policy fellow at Google.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ryanxue/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/45d2131a9a31f9a00d74e39bca27bffa7cf17cf0.jpg"
      },
      {
        "user_id": 1305066,
        "full_name": "David Lee",
        "title": "Founder",
        "founder_bio": "Co-Founder and CTO at Andco. Previously CTO at NoxuData and Founding Director of Engineering at Seek AI (IBM acq). Senior Software Engineer at DataFox (Oracle acq).",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/lee-david3",
        "x_url": "https://x.com/dleebuilds",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4303ef465363979bee82ba94d4c725349c817063.jpg"
      },
      {
        "user_id": 1161905,
        "full_name": "Michael Lemm",
        "title": "Founder/COO",
        "founder_bio": "Co-Founder and COO of Andco (YC X26). Previously Co-Founder and COO of Layup (YC W23). Outside of Andco, I enjoy rooting on Chicago sports teams, firefighting, and trying new local restaurants. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/michael-s-lemm/",
        "x_url": "https://x.com/mikeslemm",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c46120791468978a4c626eb392f8b95c85691a7a.jpg"
      }
    ],
    "jobs": [
      {
        "id": 96305,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/andco/jobs/zoWNTcb-founding-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $220K",
        "equity_range": "1.00% - 3.00%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 100597,
        "title": "Andco: Agentic case workups for personal injury law firms.",
        "tagline": "We get personal injury law firms medical, police, and insurance documents - fast and without overhead.",
        "body": "**TLDR:** Andco's AI agents run the entire pre-litigation workup for personal injury firms across every channel they use: fax, email, mail, web, SMS, and voice - so they can scale their firm without overhead.\n\n**The first 24 hours of a case, with Andco**\n\nThe moment a PI firm signs a new client, a race starts. Police reports need to be pulled, insurers need to be called, medical providers need to be faxed (yes, still faxed). Our agents go off across all channels in parallel: requesting the police report, opening claims with carriers like Geico and Progressive, identifying UM/UIM coverage, engaging adjusters, requesting records and bills from every treating provider, and running follow-up cadences until everything lands. Roughly 8 hours of legal staff work, done before anyone at the firm sits down at their desk.\n\n![uploaded image](/media/?type=post&id=100597&key=user_uploads/1126674/72f429e1-75ec-45b9-8481-5fac0d0dce5a)\n\n**The Problem**\n\nPersonal injury is a $50B+ industry, and firms live or die on pre-litigation workup speed. The problem: every case requires chasing dozens of documents from police departments, insurance carriers, and medical providers — most of whom still run on fax, mail, and phone. Firms have two options today\n\n1. Hire armies of legal staff + paralegals (expensive, high turnover, caps your caseload)\n2. Outsource to point-solution retrieval vendors (slow, opaque, expensive per-request)\n\nLegal tech built for this has historically been document and case management systems — great for storing things, terrible at actually doing the work. Meanwhile AI tooling in PI has mostly focused on downstream workflows like medical chronologies and demand drafting, which still depend on someone else getting the case context in first.\n\n**The Solution**\n\nAndco runs the pre-lit workup end-to-end. We're the system that actually does the work of getting the context. Our agents operate across fax, email, mail, web, SMS, and voice - the same channels your legal staff uses, plus a few they can't scale on. We're live with PI firms across the US and are exploring pilots with the world's largest injury law firms.\n\nEarly results:\n\n• 8 hours saved in the first 24 hours of a case\n\n• 24+ hours saved between intake and demand\n\n**About Us**\n\nWe're a team of repeat founders, ex-lawyers, and builders.\n\n**Ryan Xue (CEO)** — previously founded Layup (W23, exited to Whatfix). Before that: Origin, McKinsey, Google.\n\n**David Lee (CTO)** — 2x founder/CTO. Previously NoxuData and Seek.\n\n**Mike Lemm (COO)** — Layup co-founder (W23, exited to Whatfix). Formerly attorney at Kirkland & Ellis, Harvard Law.\n\n\\\n**Our Ask**\n\nWe publicly launched in March and are scaling as fast as humanly possible. We’re already live with many high volume firms across the country - handling hundreds of cases and thousands of requests each month. We can serve law firms in all 50 states.\\\n\\\nIf you’re a personal injury law firm that is struggling to scale your prelit process, we’d love to hear from you. First case is on us! \n\nDrop us a note at [founders@useandco.com](mailto:founders@useandco.com). Site: [useandco.com](http://useandco.com)\n\nThanks for your support!\n\n[@Ryan Xue](https://bookface.ycombinator.com/user/1126674) , [@Michael Lemm](https://bookface.ycombinator.com/user/1161905) , and [@David Lee](https://bookface.ycombinator.com/user/1305066)",
        "url": "https://www.ycombinator.com/launches/QAX-andco-agentic-case-workups-for-personal-injury-law-firms",
        "votes": 16,
        "created_at": "2026-04-30T17:44:34.179Z"
      },
      {
        "id": 91769,
        "title": "Layup: Guide your users. Right in your product. Entirely self serve!",
        "tagline": "Layup is AI that onboards and guides any user directly in your product.",
        "body": "After tons of feedback from early customers (thank you YC community for helping us break stuff!), we’re proud to share that Layup is now fully self-serve with our new point-and-click guide builder.\n\nhttps://www.youtube.com/watch?v=TqtS3ET8KmY\n\nThis is a big moment for the digital adoption space: teams can now launch in-product onboarding and guidance in _minutes_, without waiting on engineering or dragging out implementation cycles. We believe every product deserves a second cursor guiding users—and now, anyone can set it up instantly.\n\n**Here’s what’s new (and included in every plan)**:\\\n✅ **Brand new point-and-click editor**: just click around your product, and we generate the in-product guide, including text for each step.\\\n✅ **Fully redesigned UX**: faster, smoother, simpler.\\\n✅ **Built-in onboarding + feature announcements** to show users what you ship.\\\n✅ **Dynamic guidance**: Layup guides users when they get stuck, directly in your product—no help center required.\\\n✅ **Flow validation + retraining**: we auto-check and fix broken flows.\\\n✅ **Knowledge fallback**: if a flow doesn’t exist, we harvest from your product and docs to guide users.\n\n**What we’ve learned optimizing Layup to be self-serve**. A few lessons that might resonate if you’re working in onboarding, product education, or support:\\\n– Onboarding isn’t a one-time problem; it’s an ongoing infrastructure challenge. Your UI changes weekly, and your onboarding needs to evolve with it.\\\n– Nobody wants to “design a flow” or tag individual elements to make one: they want to point, click, and have it just work—so we built exactly that.\\\n– The most effective guides don’t live in a help center or static documentation—they live interactively inside your product, appearing exactly when users need them.\\\n– The best support content isn’t built manually; it’s harvested from your product and docs, so we built a fallback system that does just that.\n\nLayup reflects these learnings—and we’re still in builder mode.\n\n**Why this matters**\\\nIf you’ve tried using a DAP (Pendo, WalkMe, Appcues, etc.), you know the pain: incredibly difficult to set up, flows break, users ignore them, and maintaining them becomes a second job.\n\nWith Layup, you can now:\\\n✨ **Build everything yourself in minutes**.\\\n✨ **Keep your guides alive even when your product changes**.\\\n✨ **Help users even when there isn’t a pre-recorded guide.**\n\nWe’re excited to get Layup into more products, making onboarding effortless and guidance instant. If you want to transform how your product guides and supports users, let’s chat—we’d love to get you started with Layup today. We offer a 7-day free trial so you can see the impact for yourself.\\\n\\\nTalk to us here! [**https://cal.com/team/layup/founders**](https://cal.com/team/layup/founders)",
        "url": "https://www.ycombinator.com/launches/Ns9-layup-guide-your-users-right-in-your-product-entirely-self-serve",
        "votes": 13,
        "created_at": "2025-07-01T16:51:37.258Z"
      },
      {
        "id": 88104,
        "title": "Layup: Guide every user, anywhere in your product",
        "tagline": "The second cursor that onboards, activates, and guides users through your product",
        "body": "**TL;DR:** Layup helps guide users anywhere in your product. Our second cursor appears directly in your UI to walk users through step-by-step.\n\nYou invested in building the features—now guide every user through how to use them.\\\n\\\n**Update:** When we first launched two months ago, demand for our AI-driven second cursor was so overwhelming that we served everyone we could and then essentially went back into stealth mode to scale our infrastructure. Now, we're relaunching with a slew of new features and upgrades—ultra-fast latency, docs referencing, a new, beautiful widget, and \\*\\*dynamic conversational guides\\*\\*—making Layup smoother, faster, and more powerful than ever.\n\nAnyone launching a product can now effortlessly create and maintain in-product tutorials, onboarding guides, and feature announcements with literally 0 overhead.\n\n![uploaded image](/media/?type=post&id=88104&key=user_uploads/1126674/f10f7879-95ac-4b39-b80f-ca7d78b16a66)\n\n\\\n**The Problem**\\\nEven products with great UI can fall short if users don’t know how to find or use new or complex features.\\\nTraditional onboarding flows and user adoption tools—like rigid product tours or static help center articles—often fail to engage users or break when your UI changes. It’s an endless cycle of re-tagging and updating that exhausts product, growth, and support teams.\\\n\\\n**Our Solution**\\\nLayup embeds a **second cursor** that guides your users in real time:\n\n1. **One Line of Code**: Invite Layup as a user and drop a snippet to overlay our widget in your UI.\n2. **Advanced Knowledge Base Referencing**: Instantly surface relevant docs and FAQs in every step of a guidance flow.\n3. **Dynamic Conversations & Guides**: The second cursor and conversation overlay automatically adapt as your UI evolves—no re-tagging required.\n4. **New, Beautiful Widget**: Keep users engaged with a modern, intuitive design that’s integrated seamlessly into your product.\n\n\\\n<https://www.youtube.com/watch?v=OkEXwpKvpv0>\\\n\\\n**Use Cases**\n\n* **In-product guidance:** Provide instant, hands-on help that points users exactly where they need to click.\n* **Onboarding & activation**: Reduce the learning curve (and time to value) by visually guiding new users through each step.\n* **Feature discovery**: Turn passive observers into power users by highlighting new releases in real time.\n\n**How It Works**\n\n1. **Invite Layup**: Treat us like a user in your product.\n2. **Contextual Learning**: We analyze and index your product workflows, referencing your KB/documentation for context.\n3. **Visual Guides**: Users follow the second cursor and chat overlay step-by-step, reducing friction and confusion.\n4. **Zero Maintenance**: The guides update themselves when your UI changes—no more tedious upkeep.\n\n**Get Started**\\\nReady to ensure every feature you build gets discovered and adopted?\n\n* **Schedule a time with us**: <https://cal.com/team/layup/founders>\n* **Learn more** at <https://layuplabs.ai>.",
        "url": "https://www.ycombinator.com/launches/Mv2-layup-guide-every-user-anywhere-in-your-product",
        "votes": 8,
        "created_at": "2025-02-27T18:16:19.251Z"
      },
      {
        "id": 86022,
        "title": "Layup: Guide your users. Right in your product.",
        "tagline": "Meet Layup, the second cursor that effortlessly guides your users with just one line of code.",
        "body": "**TL;DR:** Layup saves teams hours creating and maintaining in-product guides and help center content. We transform the way users interact with your products by offering real-time, adaptive assistance via a second cursor that spawns directly in your UI.\\\n\\\n**The Problem**\\\nUsers often struggle to discover relevant features or complete the tasks they want, even in products with thoughtfully designed interfaces. They don’t want to look through confusing instructions in a help center or be forced to go through a rigid product tour. \\\n\\\nTraditional user adoption platforms like Pendo, Whatfix, and WalkMe are outdated, expensive, and fragile. Product and growth teams invest countless hours tagging and setting up guides, only for them to become obsolete when a UI update is pushed. \\\n\\\nIt’s a cycle that drains resources and slows down your ability to support users effectively.\\\n\\\n**Our Solution**\\\nWith just one line of code, Layup powers a second cursor directly within your product that shows users how to do anything.\n\nCheck out our [demo](https://www.loom.com/share/e16cfe3f860441969cfb85a5c5cbd402?sid=1dd5cc59-f98c-4bee-ab38-1eab92764493) here!\n\n**How it Works**\n\n* **Step 1:** Invite Layup as a user to your app and add a single line of code to add Layup’s second cursor/chat widget in your UI.\n* **Step 2:** Set up is as easy as inviting Layup as a user to your product. We’ll learn every workflow in your product and tap into your knowledge base / documentation to contextualize them.\n* **Step 3:** Your users get tailored guidance instantly with a second cursor that guides them through tasks, new features, or onboarding. Layup’s AI adjusts automatically as your UI changes, ensuring users get uninterrupted support!\n\n**Use Cases**\n\n* **Customer support:** instantly show your users what to do rather than direct them to a help center or support chatbot\n* **User onboarding:** reduce the learning curve (and time to value) by visually guiding new users through each step\n* **Feature activation:** turn a passive observer into an engaged user by guiding them through the feature in real-time\n\n**Interested in learning more?**\n\n* If you’re interested in deploying Layup, schedule a time with us [**here**](https://cal.com/team/layup)! You can also check out our site at [**https://layuplabs.ai**](https://layuplabs.ai). We’ll work hand in hand with you to support your needs.",
        "url": "https://www.ycombinator.com/launches/MNS-layup-guide-your-users-right-in-your-product",
        "votes": 18,
        "created_at": "2024-12-04T15:55:09.760Z"
      },
      {
        "id": 81374,
        "title": "Layup: AI that puts retention & growth on autopilot",
        "tagline": "Layup turns your product usage data into touchpoints that drive retention and growth",
        "body": "### Do things that don’t scale, scalably.\n\nAt YC, it’s hammered into us to build what people want. It’s why we spend so much time talking to our earliest users, iterating as we see how they use our product, and understanding what they want next. This hands-on, founder-led motion—aka doing the unscalable—is a key accelerant to scaling. But the reality is - as you grow, you can’t continue to meaningfully engage with every customer. Retention and growth opportunities are left on the table, and both your revenue and roadmap suffer as a result.\n\n\\\nThat’s precisely why we built Layup. To enable you to act on every customer when it matters most. By integrating with your product usage data, Layup enables you to take optimal actions with customers at key points throughout their journey and retain & expand accounts. Layup is the simplest - and only - tool that you need to run and scale your post-sales growth motion.\n\n[Check out our video demo here!](https://www.loom.com/share/2a1398b080334514971cd4c6e099aed7?sid=3fde563d-53dd-463b-b228-3f26597c1450)\n\n* **A single platform for growth and retention**\n  * AI that drafts proactive, personalized outreach to your customers to demonstrate recurring value.\n\n![uploaded image](/media/?type=post&id=81374&key=user_uploads/1126674/3ba6d4bf-e9e4-480b-afb2-8ee313eda81b)\n\n* **Get 100% actively managed account coverage, instantly**\n  * Quickly get the insights you need on every customer and take action to expand accounts faster.\n\n![uploaded image](/media/?type=post&id=81374&key=user_uploads/1126674/a4fef682-d68a-44aa-a644-8c3d8d6ddfeb)\n\n* **Take the right actions every time**\n  * See real-time performance data to know what works and refine your actions to meet your goals.\n\n![uploaded image](/media/?type=post&id=81374&key=user_uploads/1126674/1b7230db-70bc-429a-a925-e05df8ec5dec)\n\n### Featured use cases for early-stage companies (we’ll set these up for you right out of the box!):\n\n* **_Drive adoption:_** reach out at key phases of onboarding to reduce time to value\n* **_Reengage users:_** reach dormant users to reduce the risk of churn\n* **_Retain and upsell_**: make key touchpoints when plan limit is approaching to drive growth\n\n### How it works\n\nLayup breaks down into two main components:\n\n* **Signals** – surface the best opportunities to take action from your product usage data\n* **Playbooks** – drive effortless personalized emails with AI to optimize growth and retention\n\n### Getting onboarded is easy:\n\n1. Bring your product data and CRM into Layup. We will work directly with you to map your usage data to the product signals that you want to track\n2. Set up playbooks to automate personalized emails when customers take targeted actions in your product\n3. Messages will load directly in your outbox every time a playbook is triggered. Simply review them and hit send\n\n### Our Asks\n\n* Check Layup out! Schedule a demo with us [here](https://meetings.hubspot.com/michael-lemm?uuid=627c0c46-6939-4418-9758-b0124a0ef65d).\n* We are actively working with early design partners to further build out our product and have 3 slots left. If you're interested in using Layup for your team and shaping the future of our product, please reach out at [founders@layuplabs.ai](mailto:founders@layuplabs.ai)!",
        "url": "https://www.ycombinator.com/launches/LAU-layup-ai-that-puts-retention-growth-on-autopilot",
        "votes": 24,
        "created_at": "2024-06-07T19:09:26.790Z"
      },
      {
        "id": 70272,
        "title": "Layup: Complete your workflows, with just one line 🏀⚡️",
        "tagline": "Turn prompts into workflows across all of your company’s software",
        "body": "Hey YC! [@Mike Lemm](https://www.linkedin.com/in/michael-s-lemm/), [@Badal Jain](https://www.linkedin.com/in/badaljain77/), and [I](https://www.linkedin.com/in/ryanxue/) are very excited to launch [Layup](http://www.layupai.com)! ⛹🏾‍♀️⛹🏽⛹🏻‍♂️\n\n# TL;DR\n\n**Layup is every employee’s AI-powered sidekick that builds workflows across all of their company apps.** With just one prompt, it can do things like create an MSA with data from Salesforce, export it to Google Docs, and instantly share it with the right people.\n\n### **The Problem**\n\nBads, Mike, and I have collectively worked across almost every type of company and have experienced firsthand just how tedious and repetitive it can be to find information and execute workflows across a company's full suite of apps. For example, hiring someone might mean pulling down compensation data from Pave, populating an offer letter in Greenhouse, then setting them up in Rippling when the candidate accepts. Even the most simple daily workflows can involve passing information between 3 and 5 different services.\n\nLayup turns this into a one-shot prompt. We're on a mission to help individuals and organizations streamline their daily tasks with simple prompts so that they can focus on what matters most. We’re moving fast – we now integrate with over 170 applications (and counting!), providing seamless configuration with any company’s knowledge base.\n\n### **How it works**\n\nWith one simple prompt – initiate instant, customized workflows to complete your everyday tasks.\n\n![uploaded image](/media/?type=post&id=70272&key=user_uploads/1126674/abcb0ba4-f052-4b6e-92e4-544490863632)\n\n### **Our Asks**\n\n• Check Layup out! Schedule a chat with us [here](https://calendly.com/mikes_layup/30min?back=1&month=2023-03).\n\n• Tell us what you think.\n\n• If you know of any other companies that you think would be interested in using Layup, we would appreciate any intros.\n\n![uploaded image](/media/?type=post&id=70272&key=user_uploads/1126674/ba45dd9d-7b89-4413-a3ef-cb7869a438e1)\n\nIf you have any questions, ideas, or just want to touch base, hit us up! We'd love to hear from you – [founders@layupai.com](mailto:founders@layupai.com)",
        "url": "https://www.ycombinator.com/launches/IHQ-layup-complete-your-workflows-with-just-one-line",
        "votes": 230,
        "created_at": "2023-03-14T18:11:15.132Z"
      }
    ]
  },
  {
    "id": 31416,
    "name": "Callab AI",
    "slug": "callab-ai",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/aa8adf98dd895cf00084bc119e643a0794f80959.png",
    "website": "https://callab.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "58% of the $400B call center industry runs on on-prem phone systems, and until now bringing AI voice automation to them meant ripping out their entire infrastructure first. That's the largest unserved segment in the market. Callab AI connects directly to legacy PBX systems like Avaya, Cisco UCM, and Mitel, and automates up to 70% of call volume with zero migration needed.\r\n\r\nWe plug into these environments without requiring a rip-and-replace. We serve clients across three continents, including brands like Dunkin Donuts.",
    "one_liner": "AI voice agents for on-prem telephony stack. ",
    "team_size": 7,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1773416869,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
      "B2B",
      "Operations"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/callab-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/callab-ai.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/104352862/",
    "x_url": "https://x.com/callab_ai",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/aa8adf98dd895cf00084bc119e643a0794f80959.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [
      "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/bec80123dea6792e257e0f71182ccff3bd7496f5.png"
    ],
    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
    },
    "founders": [
      {
        "user_id": 1938837,
        "full_name": "Haithem Kchaou",
        "title": "Founder/CEO",
        "founder_bio": "Second-time founder; scaled a mobile app to 200K+ downloads.\nLed a sovereign national AI initiative that provided free LLM access to over 300,000 students.\nCo-published 2 research papers on LLM fine-tuning and data collection.\nThomas Jefferson Scholar (top 2% of applicants).",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/haithemkchaou/",
        "x_url": "https://x.com/haithemkchaou",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8d88dc68bbf25d956eaec77521f0d1a0d66fdc3d.jpg"
      },
      {
        "user_id": 1992756,
        "full_name": "Chehir Dhaouadi",
        "title": "Founder/CTO",
        "founder_bio": "- Software engineer who built and scaled telecom and VoIP systems across the Middle East and North Africa.\n- Co-built a mobile app scaled to 200K+ downloads.\n- Deployed local LLM instances in a government datacenter to power free student access at national scale.\n- Co-published 2 research papers on LLM fine-tuning and data collection.\n- Trained over 300 developers.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/chehirdhawedi/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7031305811c8efd3ca070957d28ca356aca4fb33.jpg"
      }
    ],
    "jobs": [
      {
        "id": 99950,
        "title": "Growth Marketer",
        "url": "https://www.ycombinator.com/companies/callab-ai/jobs/bJqHpCR-growth-marketer",
        "location": "UA / PL / LT / EE / FR / ES / Remote (UA; PL; LT; EE; FR; ES)",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$50K - $80K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 102286,
        "title": "Head of SDR",
        "url": "https://www.ycombinator.com/companies/callab-ai/jobs/D1R25qE-head-of-sdr",
        "location": "Remote",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$40K - $80K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 101754,
        "title": "Callab AI - AI voice agents for legacy phone systems.",
        "tagline": "AI voice agents for enterprise contact centers running on legacy phone infrastructure",
        "body": "Hey YC,\n\nWe are Haithem and Chehir - co-founders of  [Callab AI](https://callab.ai/). \n\n**The problem**\n\nThe global call center industry is worth $400B, and about 58% of it still runs on on-prem PBX infrastructure like Cisco UCM, Mitel, and FreeSWITCH. These systems have been in place for 20 years, with millions invested in deploying and maintaining them. They work, and they're not going anywhere.\n\nAI voice agents have been built on top of cloud telephony providers, which means every solution on the market today requires the customer to already be on cloud phone systems. If you're running on-prem, you're locked out. The only option is a full migration to cloud, which typically takes 12 to 18 months, costs a fortune, and frequently fails. Meanwhile, these same companies are dealing with 30 to 40% agent attrition rates, rising labor costs, and customers who won't tolerate hold times. They want automation but they simply can't access it.\n\nThat's a massive segment of a $400B market sitting there with no solution available to them.\n\n**What we built**\n\nCallab AI is a cloud-based AI voice platform that connects directly to on-prem PBX systems via SIP trunk integration. The phone system stays exactly where it is, calls get routed to our AI agents, handled, and returned. No rip-and-replace, no migration, and we go live in one week.\n\nWe automate up to 70% of inbound call volume across use cases like call routing, appointment scheduling, order status, and customer inquiries. The hard part is the integration layer itself, which requires going deep into legacy telecom infrastructure that most teams don't want to touch. We built it to work with any telephony stack, and that's what makes this possible.\n\nWe're YC P25 and currently expanding into the US, focused on hospitality, logistics, retail chains, and property management. Healthcare and financial services are on the roadmap once we complete HIPAA compliance.\n\n![uploaded image](/media/?type=post&id=101754&key=user_uploads/1938837/5d95733e-2ac9-45b4-8f2b-5ef8a8a3b8ca)\n\n**How we got here**\n\nWe didn't set out to become the on-prem PBX company. We started building AI voice agents in the Middle East and Africa, where cloud telephony providers don't operate, SIP trunks are state-regulated, and every contact center runs legacy infrastructure. We had no choice but to build our integration layer to work directly with whatever phone system was already on the ground. After plugging into old telecom stacks, we realized the problem we solved out of necessity in MEA is the exact same problem sitting untouched in the US. The constraint that shaped our product in a harder market turned out to be a global advantage.\n\n**How you can help**\n\nIf you know anyone at a company running a legacy phone system or on-prem contact center, we'd love an intro. Hotels, restaurant groups, logistics operators, large retail, or property management are all ideal. Also happy to connect with anyone who's worked with managed service providers, value-added resellers, or sold into enterprise telecom IT. Drop me a note.",
        "url": "https://www.ycombinator.com/launches/QTC-callab-ai-ai-voice-agents-for-legacy-phone-systems",
        "votes": 14,
        "created_at": "2026-05-22T15:09:13.748Z"
      }
    ]
  },
  {
    "id": 31418,
    "name": "Taiga",
    "slug": "taiga",
    "former_names": [
      "Bayes AI",
      "Inc."
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b29ba4c51cb703681310648e796b95e0311cd952.png",
    "website": "https://taigabilling.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Taiga automates medical billing for doctor's offices. A doctor uploads their visit data, our AI figures out the right billing codes, checks the claim for errors, and submits it to insurance, dealing with any denials. Faster billing, fewer rejected claims, less busywork.                                                       \r\n                                                                                                                        \r\nWe're Nanda and Adam, friends since 3rd grade. Both of our parents are doctors with their own practices, and billing was always a source of stress and lost revenue for them. We want providers to treat patients while we handle the rest.",
    "one_liner": "Autonomous medical billing",
    "team_size": 2,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Healthcare Services",
    "launched_at": 1775511630,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
      "Healthcare",
      "Healthcare Services"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/taiga",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/taiga.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/taigaai/",
    "x_url": "https://x.com/TaigaBilling",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b29ba4c51cb703681310648e796b95e0311cd952.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
    },
    "founders": [
      {
        "user_id": 2430601,
        "full_name": "Nanda Guntupalli",
        "title": "Founder/CEO",
        "founder_bio": "Nanda grew up doing billing at his parents' medical practice, giving him firsthand experience with the broken revenue cycle process Taiga is fixing. He published research in IEEE and patented a transformer design deployed across the East Coast, both at 16. While at the University of Pennsylvania, he worked at Refresh (YC P25), where he built RL environments for operating EHRs.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/nanda-guntupalli",
        "x_url": "https://x.com/nandaguntupalli",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f798e502b1a7200a2a405f10b888c1b2fe51d988.jpg"
      },
      {
        "user_id": 2909293,
        "full_name": "Adam Wax",
        "title": "Founder/CTO",
        "founder_bio": "Adam co-founded Taiga after growing up working at his parents’ medical practice and seeing how billing kept staff from focusing on patient care. Previously, while studying CS and math full-time, he worked full-time at Refresh (YC P25), building healthcare RL environments that helped secure a $2M frontier AI lab contract. He also built CMS workflows at Hearst used by 2,600+ editors across major media brands.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/adam-wax/",
        "x_url": "https://x.com/AdamWax3",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/62b25beb1d0890abda5dc29e03048bd7894dbb1d.jpg"
      }
    ],
    "jobs": [
      {
        "id": 110414,
        "title": "Medical Billing Specialist",
        "url": "https://www.ycombinator.com/companies/taiga/jobs/0IbsKur-medical-billing-specialist",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$90K - $120K",
        "equity_range": "",
        "experience": "2+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 110415,
        "title": "Denials & A/R Recovery Specialist",
        "url": "https://www.ycombinator.com/companies/taiga/jobs/BhnDFsN-denials-a-r-recovery-specialist",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$100K - $135K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 110416,
        "title": "Customer Success Manager",
        "url": "https://www.ycombinator.com/companies/taiga/jobs/Zsi01cN-customer-success-manager",
        "location": "San Francisco, CA / Remote (US)",
        "type": "Full-time",
        "role": "Support",
        "role_type": null,
        "salary_range": "$140K - $180K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 110417,
        "title": "Growth Marketing Manager",
        "url": "https://www.ycombinator.com/companies/taiga/jobs/3rsvyg6-growth-marketing-manager",
        "location": "San Francisco, CA / Remote (US)",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$170K - $220K",
        "equity_range": "",
        "experience": "4+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 110418,
        "title": "Sales Development Representative",
        "url": "https://www.ycombinator.com/companies/taiga/jobs/KAM5BXz-sales-development-representative",
        "location": "San Francisco, CA",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$90K - $120K",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 100548,
        "title": "Taiga: AI-native medical billing for modern practices",
        "tagline": "You treat the patient, we handle the rest.",
        "body": "Hey everyone 👋 We're Adam and Nanda, the founders of **Taiga**.\n\n**tl;dr:**\n\nWe automate the entire medical billing process for independent doctor's offices from coding to claim submission to denial management.\n\n<https://www.youtube.com/watch?v=HzQ13iVhbxk>\n\n**❌ The Problem**\n\nIf you've ever talked to an independent doctor about billing, you know it's a nightmare.\n\n* Independent practices either hire expensive billing staff, outsource to clunky billing companies, or doctors do it themselves after hours\n* Claims get rejected for coding errors that could have been caught\n* Denials pile up unfollowed, and revenue leaks everywhere\n\n**🌲 How Taiga Works**\n\nWe automate the entire process.\n\n* **Prior auths + benefits checks** — We check out the patient’s insurance before they come in to make billing seamless\n* **EMR Integration** — We pull visit data automatically as soon as the visit completes\n* **AI-Powered Coding & Scrubbing** — Our AI agents review clinician notes and generate procedure and diagnosis codes that are strongly supported\n* **Claim Submission** — We submit clean claims directly to insurance\n* **Denial Management** — We fight every single denial until the clinic gets paid. Every. Single. One.\n\n**🧾 Proof**\n\n> Taiga has been exceptionally easy to work with, with a responsive team always available to provide support. They successfully secured payment on a previously rejected claim by resolving an issue that had persisted for months; and they were able to accomplish that in just over a weeks time.\n\n\\- Neal Cheskis, LCSW\n\n\\\n**👫 Why Us**\n\nBoth of our parents are doctors with their own practices. We watched billing cause them stress and lost revenue our entire lives. With our background in tech and our deep emotional ties to the space, we are able to provide faster payments and cheaper service so clinicians can focus on what’s important.\n\n![uploaded image](/media/?type=post&id=100548&key=user_uploads/2909293/ba095169-9bac-4f96-97ab-753de18e4288)\n\n**Talk to us!**\n\nIf you're a doctor or know a doctor, we'd love to talk. Visit [taigabilling.com](https://taigabilling.com)!",
        "url": "https://www.ycombinator.com/launches/Q9k-taiga-ai-native-medical-billing-for-modern-practices",
        "votes": 44,
        "created_at": "2026-04-30T14:41:49.238Z"
      }
    ]
  },
  {
    "id": 31424,
    "name": "Lab0",
    "slug": "lab0",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e54ac65b683433835143a5b5da2159a7c9445255.png",
    "website": "https://lab0.ai",
    "all_locations": "Bengaluru, KA, India",
    "long_description": "Enterprise software implementation is broken,  and it has been for decades. \r\nEvery rollout, whether it's a traditional ERP or a new AI system, requires months of manual integration, configuration, and tuning done by armies of system integrators and forward-deployed engineers. \r\nLab0 builds agentic systems that automate this layer, compressing months-long implementations into weeks.",
    "one_liner": "AI FDEs to make your B2B SaaS Go Live in Days, not Months",
    "team_size": 7,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1775188246,
    "tags": [
      "SaaS",
      "B2B",
      "Enterprise",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "India",
      "South Asia"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/lab0",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/lab0.json",
    "year_founded": 2026,
    "city": "Bengaluru",
    "country": "IN",
    "linkedin_url": "https://www.linkedin.com/company/lab0-hq",
    "x_url": "https://x.com/lab0_ai",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e54ac65b683433835143a5b5da2159a7c9445255.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
    },
    "founders": [
      {
        "user_id": 2088764,
        "full_name": "Onkar Borade",
        "title": "Founder/CEO",
        "founder_bio": "Lab0 | IITB CSE | \nRebuilding the services industry through a Productized Approach ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/onkar-borade/",
        "x_url": "https://x.com/onkar_borade_10",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6aa6e774265df40c5c857dcaeecb27433fd15a5d.jpg"
      },
      {
        "user_id": 881443,
        "full_name": "Lakshya Gupta",
        "title": "Founder/CTO",
        "founder_bio": "Building agents to deploy agents at Lab0.ai. Always down to talk about model quirks.\n\nPreviously was a founding engineer at Emergent (YC S24) - scaled it from 0 to $70M ARR - leading integrations, evals and deployments. \n\nStudied Computer Science at IIT Bombay. \n\nMore brags - \nWas All India Rank 12 in JEE Advanced 2020 and won a Bronze medal for India at the Asian Physics Olympiad 2019 held in Australia. \n\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/lakshya-gupta-0030771ba/",
        "x_url": "https://x.com/tokenaware",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/024ba893c8a888c3018b9041c9463b62f8097cc8.jpg"
      },
      {
        "user_id": 2014953,
        "full_name": "Sujay Srivastava",
        "title": "Founder",
        "founder_bio": "Striving towards 0-day Enterprise software Implementation with Lab0 (YC P26)\nIIT Madras Quantum Computing grad\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/sujaysriv/",
        "x_url": "https://x.com/SujaySriv",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6ea42801eadb04d621edea8b40e418fde37042a7.jpg"
      }
    ],
    "jobs": [
      {
        "id": 102876,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/lab0/jobs/hlPvGkT-founding-engineer",
        "location": "Bengaluru, Karnataka, IN",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$30K - $60K",
        "equity_range": "0.10% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": [
          "Software Architecture",
          "AI Agents"
        ]
      },
      {
        "id": 109013,
        "title": "Founding Product Marketer (AI-native)",
        "url": "https://www.ycombinator.com/companies/lab0/jobs/BEZKXau-founding-product-marketer-ai-native",
        "location": "Bengaluru, KA, IN / Bengaluru, Karnataka, IN",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "₹1.5M - ₹4M INR",
        "equity_range": "0.05% - 0.50%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": [
          "Marketing design",
          "AI Agents"
        ]
      },
      {
        "id": 111521,
        "title": "Forward Deployed Engineer (FDE)",
        "url": "https://www.ycombinator.com/companies/lab0/jobs/mb7xcXo-forward-deployed-engineer-fde",
        "location": "Bengaluru, Karnataka, IN",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$35K - $70K",
        "equity_range": "0.05% - 0.50%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": [
          "Software Architecture",
          "AI Agents"
        ]
      },
      {
        "id": 115426,
        "title": "Founding GTM (AI-native)",
        "url": "https://www.ycombinator.com/companies/lab0/jobs/WODO2Yc-founding-gtm-ai-native",
        "location": "Bengaluru, KA, IN",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$25K - $50K",
        "equity_range": "0.10% - 1.00%",
        "experience": "1+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 101609,
        "title": "Lab0 - AI FDE for Enterprise Software",
        "tagline": "Deploy enterprise software in days, not months",
        "body": "Enterprise software takes months to go live after the sale. Imagine paying for an app on the app store but not being able to use it for 6 months. [Lab0](https://lab0.ai/) solves exactly this.\n\nWe’re building an AI FDE that automates entire post-sales delivery for software companies - all from discovery, solution design, config, to testing and go-live. We’re currently working with Adobe and a couple of system integrators.\n\nThe future of enterprise software is self-serve, where enterprises buy a product, and it gets configured by agents.\n\n[Lab0](https://www.linkedin.com/company/lab0-hq/) is the AI FDE making that real: 6 months → 10 days.\n\n<https://youtu.be/UDrqfnYWlLI>\n\n# **The problem**\n\nIf you've sold to an enterprise, you know this already.\n\nA $200K contract lands. Hand off to post-sales. On a deeper technical discovery of your client’s processes, you realize you need a lot of custom changes to serve them.\n\nThat's the hidden tax on every enterprise sale, 3 months of bespoke FDE / Solution Architect’s work, rebuilt from scratch for every customer. That’s 3 months of lost value for the customer.\n\nEither you wait months to start billing, or somehow show enough ROI in the remaining duration of the contract to get a renewal.\n\n# **What we built**\n\n[Lab0](https://www.ycombinator.com/companies/lab0) is the AI FDE for your (AI?) B2B SaaS. It joins discovery calls and tells you what to ask, generates handoffs, design documents and test plans. It even configures the product, writes custom integrations and tests all the workflows before signing off.\n\n_Six months of services work, done in days._\n\n# **Who we are**\n\n[Onkar Borade](https://www.linkedin.com/in/onkar-borade/) , CS grad from IIT Bombay, saw the problem from inside Oracle, where the implementation team was bigger than the dev team.\n\n[Lakshya Gupta](https://www.linkedin.com/in/lakshya-gupta-0030771ba/) , also CS from IIT Bombay, was an early engineer at Emergent Labs where he scaled the Agent platform from 0 to $100M in ARR with over 5M users.\n\n[Sujay Srivastava](https://www.linkedin.com/in/sujaysriv/) , quantum computing grad from IIT Madras, was building an AI startup for BFSI, where every rollout felt like its own custom project.\n\nWe've sat on every side of an enterprise deployment, and [Lab0](https://www.linkedin.com/company/lab0-hq/) is the software we wished we'd had on every one of those projects.\n\n# **Our ask**\n\n**1. Are you a company selling to enterprises where implementation is eating your team's time?** We'll take one of your hardest customer deployments and run it end-to-end; you'll see the value firsthand.\n\n**2. Intros to Professional Services leaders / Customer Success / Solutions Architects** at enterprise software companies with 20+ person implementation teams. If you've seen this pain from a previous job - even from across the aisle in a product or engineering role, a warm intro goes a long way.\n\nDrop an email at [founders@lab0.ai](https://mail.google.com/mail/?view=cm&fs=1&to=founders@lab0.ai)\\\nor\\\nBook a call at [Lab0-Calendly_Link](https://calendly.com/d/ctzx-ndw-n8b/office-hours-with-lab0)",
        "url": "https://www.ycombinator.com/launches/QQr-lab0-ai-fde-for-enterprise-software",
        "votes": 20,
        "created_at": "2026-05-20T03:31:19.320Z"
      }
    ]
  },
  {
    "id": 31426,
    "name": "Gojiberry AI",
    "slug": "gojiberry-ai",
    "former_names": [
      "GojiberryAI",
      "Superfruits Inc."
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4a81291bc11ae471a475ddf6ccf1d67360474a8c.png",
    "website": "https://www.gojiberry.ai",
    "all_locations": "Paris, Île-de-France, France; Remote",
    "long_description": "Gojiberry is building the AI GTM team for B2B companies.\r\n\r\nWe start with outbound: Gojiberry finds buyers showing intent, enriches them, reaches out, follows up, handles replies, and books qualified meetings.\r\n\r\nCompanies use Gojiberry to replace the old way of doing outbound: buying tools, hiring SDRs & agencies, testing lists, writing messages, and guessing what works. Gojiberry turns it into one AI team that finds buyers and books meetings.\r\n\r\nEvery campaign makes Gojiberry smarter. It learns which buyers convert, which signals matter, which messages get replies, and which actions create revenue. Over time, Gojiberry uses what works across similar companies and industries to help every new customer get better results from day one.\r\n\r\nLong term, Gojiberry will become the system that finds every revenue opportunity and acts on it: outbound leads, website visitors, inbound leads, old CRM leads, replies, meetings, CRM updates, new campaign ideas, and account expansion.\r\n\r\nThe goal is to make every B2B company able to run a high-performing GTM team without hiring one.\r\n\r\nWe grew from $0 to $2.5M ARR in 10 months, are growing 30% MoM, profitable, and used by 2,000+ customers.\r\n\r\nCustomers get 2-5x more positive replies than traditional outbound.",
    "one_liner": "AI Go-To-Market agents for B2B teams",
    "team_size": 7,
    "industry": "B2B",
    "subindustry": "B2B -> Sales",
    "launched_at": 1774430148,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
      "B2B",
      "Sales"
    ],
    "regions": [
      "France",
      "Europe",
      "Remote",
      "Fully Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/gojiberry-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/gojiberry-ai.json",
    "year_founded": 2025,
    "city": "Paris",
    "country": "FR",
    "linkedin_url": "https://www.linkedin.com/in/pelall/",
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        "id": 99079,
        "title": "GojiberryAI - AI GTM brain that detects buying intent, runs conversations, and books qualified demos automatically",
        "tagline": "We turn hours of manual prospecting into a predictable flow of qualified demos by handling the entire GTM execution.",
        "body": "Hey everyone, we’re [Pierre-Eliott](https://www.linkedin.com/in/pierre-eliott-lallemant-343a2b199/), [Romàn](https://www.linkedin.com/in/rom%C3%A0n-czerny-11b773199/) and [Dylan](https://www.linkedin.com/in/dylan-txa/) - cofounders of [GojiberryAI ](https://gojiberry.ai)👋\n\n\\\n**TL;DR**\n\n**\\\nGojiberryAI identifies high intent leads, detects real buying signals, and automatically launches personalized conversations on LinkedIn from one single platform.**\n\nWe scaled from $0 to $1.4M ARR in 9 months and have already generated millions in pipeline for our customers.\n\nWhat makes us unique is how quickly we identify real buying signals within your ICP.\n\nOn average, our customers see 2 to 5x higher reply rates with GojiberryAI thanks to high intent lead targeting.\n\n[**https://youtu.be/wlzk3LHZklU**](https://youtu.be/wlzk3LHZklU)\n\n**_Ask:_** Are you currently looking to generate more qualified demos?\n\nLet’s show you how.\n\nTry our [free trial ](https://gojiberry.ai)here or [book a demo](https://calendly.com/roman-gojiberry/gojiberry-ai-demo-with-the-founders-clone-1) here.\n\n# 🔴 **The problem**\n\nThe B2B sales market runs on millions of companies trying to generate pipeline every day.\n\nYet most teams still use a stack of tools that don’t really work together.\n\nSo what happens:\n\nMost outbound goes to people who will never buy\n\nReply rates stay stuck around 2–3%\n\nThe best opportunities are missed or reached too late\n\nThere’s no real system behind it :\n\nYou don’t know which ICP actually converts.\n\nYou don’t know which signals matter.\n\nAnd every time you launch a new campaign, you’re basically starting from scratch.\n\nMost tools just execute. They don’t learn. They don’t improve.\n\nSo you keep sending more messages, hoping something works.\n\nThat’s exactly where our GTM Brain comes in to fix this.\n\n# ✅ **What we built**\n\n![uploaded image](/media/?type=post&id=99079&key=user_uploads/2152249/40b7c25b-4fb7-4775-98c3-832c661c5a08)\n\nGojiberryAI is the GTM brain for modern sales teams.\n\nWe started with outbound and are building toward owning the entire pipeline generation stack.\n\nToday we handle:\n\nHigh intent lead detection : we track buying signals across LinkedIn and identify prospects who are actually in market\n\nLead enrichment and scoring : every lead is qualified based on ICP fit and real intent signals\n\nPersonalized outreach : we automatically generate and send messages tailored to the exact trigger event\n\nConversation management : follow ups are handled intelligently to turn replies into booked meetings\n\nOur goal is simple: replace the fragmented stack of scraping tools, CRMs, and outreach tools with one system that actually drives pipeline.\n\n# 📈 **Traction**\n\n$0 → $112K MRR in 9 months, 44% MoM growth\n\n1000+ paying customers\n\nOur customers see 2 to 5x higher reply rates compared to traditional outreach.\n\n# [**👬**](https://emojipedia.org/men-holding-hands) The Team\n\nRomàn, Pierre-Eliott, and Dylan have worked closely together and co-founded GojiberryAI, the GTM Brain for small sales teams.\n\nPierre-Eliott (CEO) is a French entrepreneur and repeat founder. He previously co-founded and exited CoCo AI. He leads product, vision, and company strategy, driving GojiberryAI’s positioning and execution as it scales toward $10M+ ARR.\n\nDylan (CTO) is a French entrepreneur and co-founder of GojiberryAI. He previously co-founded Edusign, a paperless attendance SaaS that scaled to multi-million ARR before being sold in 2025. He leads engineering and AI systems, building the infrastructure that enables real-time intent detection, automated outreach, and end-to-end conversation management.\n\nRomàn (CMO) is a French entrepreneur and repeat founder. He previously co-founded CoCo AI, a Shopify app that grew to \\~$500K ARR before being sold in 2025. He leads go-to-market, growth, and distribution, with a strong focus on turning high-intent signals into pipeline and revenue.\n\n![uploaded image](/media/?type=post&id=99079&key=user_uploads/2152249/3c71b87b-c41b-42f3-89d0-0fab0ea51516)\n\n**_Ask:_** Are you currently looking to generate more qualified demos?\n\nLet’s show you how.\n\nTry our [free trial ](https://gojiberry.ai)here or [book a demo](https://calendly.com/roman-gojiberry/gojiberry-ai-demo-with-the-founders-clone-1) here.",
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        "full_name": "Efrain Torres",
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        "location": "Minneapolis, MN, US",
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        "title": "Adialante: We're going to screen the world for cancer!",
        "tagline": "Our second patent just issued, a new way to make MRI.",
        "body": "**TLDR**: Adialante builds compact and mobile whole-body MRIs. We already have $12.75M in LOIs, $30k in deposits, and our first system will be scanning by demo day.\n\n---\n\n##### **About Us:**\n\n<https://youtu.be/iiRwpHPFIeM>\\\n\\\n\"Disruptive Innovation describes a process by which a product or service takes root in simple applications at the bottom of the market — typically by being less expensive and more accessible — and then relentlessly moves upmarket, eventually displacing established competitors.\" — Christensen Institute\n\nWe’re [@Efrain Torres](https://bookface.ycombinator.com/user/1230366) and [@Parker Jenkins](https://bookface.ycombinator.com/user/1298954), the co-founders of [@Adialante](https://bookface.ycombinator.com/company/31434). We met on the first floor of our engineering dorm. And when we learned what disruptive innovation was, it captured us immediately. But what to disrupt? Trained as biomedical engineers, we both learned about MRI and were in awe of the clinical value. It can diagnose cancers, strokes, dementia, and more. Yet everyone said the same thing: MRI is not accessible.\n\nSo we knew what we had to do: disrupt the industry.\n\nOver the past six years, we've invented new ways to do MRI, won millions in competitive grants, published research, secured patents (#12,625,209, #12,372,595, more to come), and built a team. And, now, we’re well on our way to disrupting the industry.\n\n##### **Problem:**\n\nWe know how to 10x cancer outcomes: **you catch it early**. MRI is the most powerful cancer-detection tool in the world, yet systems cost millions to purchase, take months to install, and require high levels of technical skill. The result? We only use MRI when it's too late.\n\n##### **Our solution:**\n\nWe've redesigned MRI from the ground up with new physics, algorithms, and hardware, all to bring cancer screening to all of us. Our MRIs:\n\n* use 50% less hardware\n* are 40% shorter and 80% lighter\n* are whisper-quiet and much less claustrophobic\n* and require no specialized infrastructure\n\nAll while maintaining the diagnostic quality patients need.\n\n![uploaded image](/media/?type=post&id=101289&key=user_uploads/1230366/e7c9bf11-8868-457b-aced-78bd369559f5)\n\nBut like Waymo, we won't sell our hardware — we'll own and operate it. We'll bring our MRIs to clinics in mobile trailers, handle its operations, and continuously improve our AI software after every scan. We're an imaging clinic on wheels. So instead of a clinic waiting months and paying millions, clinics will wait hours and pay hundreds.\n\n![uploaded image](/media/?type=post&id=101289&key=user_uploads/1230366/31ce218b-56df-4fc3-9450-5af5eea83895)\n\n---\n\nWe're starting with prostate cancer. **Over 1M men every year require an MRI before a prostate biopsy, but virtually none of the urology clinics that treat them can offer one.**\n\nAfter our per-scan fee, a clinic will collect the insurance reimbursement and make a profit. It's a win-win-win: we get the recurring revenue, they get a new revenue stream, and patients get the best imaging technology in the world. From there, the same piece of hardware expands to renal, breast, and brain scanning **until annual screening for high-risk cancers is the norm, not the exception.**\n\n**Traction:**\n\n* 6 clinics signed up\n* $12.75M in LOIs for scanner utilization\n* $30k deposited from a top ten urology clinic to reserve their spot in line\n* MRI assembled\n\n  ![uploaded image](/media/?type=post&id=101289&key=user_uploads/1230366/1fa5afed-cb5b-4f8d-a3f0-46a430043c0e)\n\n\n##### **Asks:**\n\nIntros to Urology clinics\n\n##### **Open Invitation:**\n\nWant to see our scanner? Shoot us a message! We’ll show you our system in person!",
        "url": "https://www.ycombinator.com/launches/QLh-adialante-we-re-going-to-screen-the-world-for-cancer",
        "votes": 31,
        "created_at": "2026-05-13T18:24:48.396Z"
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    "id": 31435,
    "name": "Lumius",
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    "all_locations": "Durham, NC, USA",
    "long_description": "Ultrasound today is still mostly 2D. Clinicians have to imagine the 3D anatomy in their head while also moving the probe at the same time. This makes procedures like vascular access hard to learn and perform consistently, especially for beginners. ~50% fail on their first attempt. Hospitals also spend millions each year on 2D ultrasound training. Meanwhile, existing 3D ultrasound devices can cost >10× as much.\r\n\r\nLumius is building fast, smart, and accessible 3D ultrasound systems to eliminate this 2D guesswork. Our technology shows a clear, real-time 3D view of what’s inside the body. It works over a large volume, not just a thin slice. The device is also affordable, compact, and portable.\r\n\r\nWe are starting with vascular access, especially central line. Future use cases include blood clot detection, tumor diagnosis, and biopsy guidance. Our long-term vision is a universal 3D ultrasound platform that brings easy-to-use, real-time imaging to a wide range of clinical and eventually consumer applications.\r\n",
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    "team_size": 4,
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        "full_name": "Tri Vu",
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        "founder_bio": "Cofounder @ Lumius. PhD in BME from Duke. Trying to make ultrasound devices that people want.",
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        "full_name": "Luca Menozzi",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d06b8920e307695f0fb3206f2f623962ca19c4ed.jpg"
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    ],
    "jobs": [
      {
        "id": 97971,
        "title": "Founding Hardware Engineer - ASICs & Embedded Systems",
        "url": "https://www.ycombinator.com/companies/lumius/jobs/XPM2fPZ-founding-hardware-engineer-asics-embedded-systems",
        "location": "Durham, NC, US / Remote (San Francisco, CA, US; Seattle, WA, US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Hardware",
        "salary_range": "$120K - $160K",
        "equity_range": "0.50% - 2.00%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "The Top Hardtech Startups in YC P26 - The Silicon Valley Post",
        "url": "https://svpost.com/articles/top-hardtech-startups-yc-p26/",
        "date": "Jun 10, 2026"
      },
      {
        "title": "What Y Combinator's Latest Batch Reveals About The Future",
        "url": "https://www.forbes.com/sites/dariashunina/2026/06/04/what-y-combinators-latest-batch-reveals-about-the-future/",
        "date": "Jun 04, 2026"
      },
      {
        "title": "The Top 5 Bio and Healthtech Startups in YC P26 - The Silicon Valley Post",
        "url": "https://svpost.com/articles/top-bio-healthtech-startups-yc-p26/",
        "date": "May 14, 2026"
      }
    ],
    "launches": [
      {
        "id": 101060,
        "title": "Lumius — The 3D Camera for the Body",
        "tagline": "Fast, smart, accessible 3D ultrasound for everyone",
        "body": "**TL;DR:** Lumius is making real-time, accessible, and intelligent 3D ultrasound to advance beyond today’s widely used 2D ultrasound (500 million scans annually). Our vision is to make 3D ultrasound a universal camera for the body.\n\n<https://youtu.be/bWlJD4_Bx4k>\n\n**Backstory**\n\n![uploaded image](/media/?type=post&id=101060&key=user_uploads/3059826/d6bfe836-eb86-43cf-af8f-cf653183cebc)\n\nLuca Menozzi, Chenhang Li, and I bonded over ultrasound during our PhDs at Duke. For years, it has bothered us that ultrasound looks largely the same as it did decades ago. It is safer and more accessible than imaging tools like PET, CT, or MRI, yet it has never quite become as widely used in everyday care as it should be.\n\n**The Problem**\n\n![uploaded image](/media/?type=post&id=101060&key=user_uploads/3059826/a37bfe1d-0a2f-4738-ac51-c7628335098e)\n\nThe vast majority of ultrasound imaging today is still 2D. Clinicians have to maneuver a probe while mentally reconstructing 3D anatomy from flat images. That makes ultrasound hard to learn and difficult to use, especially for newer clinicians.  3D ultrasound does exist today, mainly for cardiac and fetal imaging, but current systems cost roughly 10x more than standard 2D ultrasound machines.\n\n**The Solution**\n\n![uploaded image](/media/?type=post&id=101060&key=user_uploads/3059826/63de8f91-ad1d-4cd2-abdc-cbd2461fcd5f)\n\nOur tech shows a clear on-the-fly 3D view of what's inside the body with AI assistance. Instead of relying on thin 2D slices, users see the full volume in context, eliminating the 2D guesswork that makes ultrasound difficult to use. \n\nOur device will be affordable, compact, and portable. AI integration will also make it context-aware and intelligent, guiding users by explaining what they’re seeing and what to do next. For example, automatically detecting and extracting blood vessels, nerves, muscle, and more. \n\nWe're starting with vascular access, particularly central line placement. This is a procedure where \\~50% of first attempts fail, especially among new clinicians. And hospitals spend millions each year training clinicians on 2D ultrasound. From there, we will expand to blood clot detection, nerve block imaging, tumor diagnosis, and biopsy guidance. Our long-term vision is to make 3D ultrasound a universal camera for the body, accessible to everyone. \n\n**Our Asks**\n\nWe'd love to hear from:\n\n* **Clinicians and hospital innovation teams** dealing with vascular access, nerve blocks, and/or ultrasound-guided procedures\n* **Med device innovators** or anyone in the healthcare/medtech space that are interested in 3D imaging guidance\n* **Anyone with feedback** on medical imaging, hardware, or FDA pathways\n\nPlease reach out to us at [contact@lumius-imaging.com](mailto:contact@lumius-imaging.com) or [book a quick call](https://calendly.com/contact-lumius-imaging/30min)\n\nSources: <https://bjcardio.co.uk/2008/01/ultrasound-guided-central-venous-access/> <https://www.semanticscholar.org/paper/Rapid-Femoral-Vein-Assessment-(RaFeVA)%3A-A-protocol-Brescia-Pittiruti/fade5949934e6e5a0fdaa8e798d5bf89934f9c50/figure/8> <https://academic.oup.com/academicmedicine/article-abstract/85/9/1462/8353240>",
        "url": "https://www.ycombinator.com/launches/QI0-lumius-the-3d-camera-for-the-body",
        "votes": 21,
        "created_at": "2026-05-08T21:35:39.201Z"
      }
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  },
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    "id": 31443,
    "name": "Complir",
    "slug": "complir",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f1f72e453635f03c2884d2d58c26211bfd627530.png",
    "website": "https://complir.io/",
    "all_locations": "Copenhagen, Denmark",
    "long_description": "AI-powered product compliance platform that makes it easy for retailers to launch and scale products across borders without drowning in regulatory work. Complir's AI agents handle the regulations and documentation across every market you sell in - and keep your entire catalogue audit-ready.",
    "one_liner": "Vanta for physical products",
    "team_size": 13,
    "industry": "B2B",
    "subindustry": "B2B -> Retail",
    "launched_at": 1774933783,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
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      "Retail"
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    "regions": [
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      "Europe",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/complir",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/complir.json",
    "year_founded": 2024,
    "city": "Copenhagen",
    "country": "DK",
    "linkedin_url": "https://www.linkedin.com/company/complir",
    "x_url": "",
    "fb_url": null,
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    "company_photos": [],
    "primary_partner": {
      "name": "Andrew Miklas",
      "url": "https://www.ycombinator.com/people/andrew-miklas"
    },
    "founders": [
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        "user_id": 1829555,
        "full_name": "Gustav Bang",
        "title": "Founder/CEO",
        "founder_bio": "CEO, Complir.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/gustavbangn/",
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        "user_id": 2546336,
        "full_name": "Marc Kaa Brejner",
        "title": "Founder/CTO",
        "founder_bio": "CTO, Complir.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/marc-kaa-brejner/",
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        "full_name": "Tine Kühnel",
        "title": "Founder/CPO",
        "founder_bio": "CPO, Complir.",
        "is_active": true,
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    "jobs": [
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        "title": "Head of Germany",
        "url": "https://www.ycombinator.com/companies/complir/jobs/4JZzlHG-head-of-germany",
        "location": "Berlin, Germany / Hamburg, Germany",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104000,
        "title": "Open Application",
        "url": "https://www.ycombinator.com/companies/complir/jobs/83TkluK-open-application",
        "location": "Copenhagen, Denmark",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 111394,
        "title": "Product Engineer",
        "url": "https://www.ycombinator.com/companies/complir/jobs/A20A77P-product-engineer",
        "location": "Copenhagen, Denmark",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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    "launches": [
      {
        "id": 99317,
        "title": "Complir - Helping large retailers remove compliance as a bottleneck to launching products globally.",
        "tagline": "Vanta for physical products",
        "body": "Hi there! I’m Gustav, and together with Tine and Marc we’re building AI infrastructure that automates compliance for global retailers.\n\nIf you sell physical products across markets, compliance is brutal.\n\nEvery country has different requirements. Documentation is fragmented. Regulations change constantly. Most teams still manage it in spreadsheets, consultants, and shared drives. And every product launch becomes a fire drill.\n\nOur users are:\n\n\\- Enterprise retailers with thousands of SKUs\n\n\\- Compliance, quality, and sourcing teams\n\n\\- Companies launching across multiple EU and international markets\n\nThey don’t want to just be compliant. They want to ship products fast and never think about compliance again.\n\n**How we got here**\n\nJust one month after Tine and I met back in May 2024, we made a deal with Flying Tiger Copenhagen (a 1,000+ store global retail chain, similar to a European Five Below) and forward deployed ourselves in their offices, working directly with their compliance, packaging, and sourcing teams for over a year.\n\nWe had no idea how much manual work we were about to witness.\n\nRegulations are dynamic. Products change. Data is messy. Requirements depend on category, market, material, packaging, claims, and more. Most existing tools treat compliance like static storage.\n\nSo we built an AI-native system that:\n\n\\- Maps products to relevant regulatory requirements across markets\n\n\\- Transforms messy product data into structured, audit-ready compliance records\n\n\\- Automatically generates legally required outputs — including translations, warnings, labels, risk assessments, declarations, and technical documentation\n\n\\- Propagates updates when regulations or products change, so documentation stays compliant without manual rework\n\nToday we manage 100k+ products, work with large retailers across Europe, and are growing \\~45% MoM\n\nIf you know large retailers selling across markets, tell them they can save millions in yearly compliance costs - while launching more products in more markets, faster.\n\nAnd if you’re building or operating in retail, import/export, or compliance infrastructure, we’d love to compare notes!\n\nDemo: [**https://www.youtube.com/watch?v=4omoq7tcU88**](https://www.youtube.com/watch?v=4omoq7tcU88)",
        "url": "https://www.ycombinator.com/launches/Ppt-complir-helping-large-retailers-remove-compliance-as-a-bottleneck-to-launching-products-globally",
        "votes": 27,
        "created_at": "2026-04-03T21:07:08.390Z"
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    "id": 31453,
    "name": "Minicor",
    "slug": "minicor",
    "former_names": [
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    "website": "https://minicor.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Minicor connects AI startups to legacy desktop apps that have no API. Reliably, quickly and at scale.\r\n\r\nDescribe a workflow and get an API endpoint. Each call triggers a self-healing desktop automation on a Windows VM. On-prem, cloud, or Citrix. Build through your coding agent via our MCP.\r\n\r\nComplete with the observability tools to manage your customer relationship: full video replay of every automation, granular logging, and slack enabled alerts.",
    "one_liner": "Scalable windows desktop automations",
    "team_size": 9,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1772756028,
    "tags": [],
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
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      "Infrastructure"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/minicor",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/minicor.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/minicor-automations",
    "x_url": "https://x.com/minicor_",
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    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
    },
    "founders": [
      {
        "user_id": 1037983,
        "full_name": "Faizaan Chishtie",
        "title": "Founder/CEO",
        "founder_bio": "CEO @ Minicor (X26) - building an RPA platform for deploying AI into legacy desktop systems\n\nPreviously also built a furniture rental company and worked as early engineer at YC companies connecting systems together!",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/fchishtie/",
        "x_url": "https://x.com/faizchishtie",
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      {
        "user_id": 1639230,
        "full_name": "Saheed Akinbile",
        "title": "Founder/CTO",
        "founder_bio": "Building Minicor (X26) - Building an agentic desktop and browser automation platform.\nDeep in infra, RPA (QuickBooks/Sage/Citrix), and browser automation.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/saheed-akinbile",
        "x_url": "https://x.com/sahee_d",
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    "jobs": [
      {
        "id": 94138,
        "title": "Software Engineer",
        "url": "https://www.ycombinator.com/companies/minicor/jobs/mDMbXZk-software-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$175K - $250K",
        "equity_range": "0.15% - 0.45%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": [
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          "JavaScript",
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    "news": [
      {
        "title": "Minicor Raises $3.8M Seed",
        "url": "https://www.thesaasnews.com/news/minicor-raises-3-8m-seed/",
        "date": "Oct 15, 2026"
      },
      {
        "title": "The Top DevTech Startups in YC P26 - The Silicon Valley Post",
        "url": "https://svpost.com/articles/top-devtech-startups-yc-p26/",
        "date": "Jun 10, 2026"
      },
      {
        "title": "What Y Combinator's Latest Batch Reveals About The Future",
        "url": "https://www.forbes.com/sites/dariashunina/2026/06/04/what-y-combinators-latest-batch-reveals-about-the-future/",
        "date": "Jun 04, 2026"
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      {
        "id": 99004,
        "title": "Minicor - Windows desktop automations at scale.",
        "tagline": "RPA platform for deploying AI into legacy desktop systems",
        "body": "Hey YC!! Faiz and Saheed here from Minicor ([minicor.com](http://minicor.com))\n\n**TLDR;** AI companies selling into healthcare, automotive, financial services, and logistics can't go live because their customers run on legacy desktop software with no APIs. The only way in is clicking through the UI, and it breaks constantly. Minicor is a platform for building self-healing desktop automation that scales.\n\nLaunch video:\\\n<https://www.youtube.com/watch?v=nzH4ekkaA2c>\n\n**The problem**\n\nOur customers selling into legacy industries can't go live because the systems of record their customers use (EHRs, ERPs, DMS) are Windows desktop apps with no APIs. The only way to read / write is through UI automations, but desktop RPA at scale breaks constantly. Even small error rates become hundreds of failures a day, and every one needs manual intervention.\n\nThey're signing customers but don't have capacity to integrate because they're too busy fighting fires with existing RPAs; or their prospects are blocked because they need \"proof\" they can write back to their systems, and spinning up a desktop automation POC takes too long.\n\n**In production**\n\nWe're live right now processing thousands of workflows a week across healthcare EHRs and other legacy systems. Our agents write AI-generated data into desktop apps in real-time. We went live with a customer in 3 weeks post POC.\n\n**How it works**\n\n1. Install our Desktop Client on the machines running the legacy software.\n2. Speak the automation into existence - either through your favourite coding agent via our MCP, or to us directly. You get an API endpoint to trigger it.\n3. Minicor handles everything after that. Only pay when the data gets in\n\n**Demos**\n\nGenerating an automation with our MCP:\n\n![uploaded image](/media/?type=post&id=99004&key=user_uploads/1037983/3566b35e-8721-428e-9c8c-99b2d4f337a4)\n\nAgent recovering from failure:\n\n![uploaded image](/media/?type=post&id=99004&key=user_uploads/1037983/c33c944c-0319-4aa1-a291-c526751938f6)\n\nRecorded video replays of every run, with full error logging, so nothing ever fails silently:\n\n![uploaded image](/media/?type=post&id=99004&key=user_uploads/1037983/ce87bffc-0860-43ab-a1b9-94d5b5656adf)\n\n**About us**\n\nSaheed and I both started our careers building bespoke / legacy system integrations. Me at a YC startup, Saheed at Morgan Stanley and Ford. We met in 2019 in a UX class, built a non-profit together over the pandemic, and started working on this in 2023.\n\nWe started with an observability and error recovery platform for API integrations, and got pulled into Desktop automations when a prospect closed hyper quickly on the promise that we could help them connect to an on-prem EMR.\n\n**If a legacy desktop integration is blocking a deal right now**\n\n**We can have a POC running in hours.** Whether that's a demo for a prospect or getting something into production next week. Email / DM us on Bookface / book time to chat (:\n\n**Know an AI company fighting horrible desktop based UI integrations?** We'd appreciate an intro, coffee / lunch on us!\n\n[faiz@minicor.com](mailto:faiz@minicor.com) / <https://calendly.com/faiz-laminar/minicor-demo>",
        "url": "https://www.ycombinator.com/launches/Pkq-minicor-windows-desktop-automations-at-scale",
        "votes": 27,
        "created_at": "2026-03-23T02:00:00.081Z"
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    "id": 31458,
    "name": "Reason Machines",
    "slug": "reason-machines",
    "former_names": [
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      "Ara"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ac8d1fbd9622030ddfab1cc9a6fac1907350004f.png",
    "website": "https://reasonmachines.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Reason Machines builds Reason Agent, the autonomous software engineer for engineering teams. Reason connects to GitHub, reproduces bugs, writes code, passes tests, and ships review-ready pull requests with recordings and logs across cloud environments.",
    "one_liner": "Reason Machines builds Reason Agent, the autonomous software engineer…",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1775160352,
    "tags": [
      "Developer Tools",
      "Enterprise Software",
      "Cloud Computing"
    ],
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
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      "Productivity"
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    "regions": [
      "United States of America",
      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/reason-machines",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/reason-machines.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/reasonmachines",
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    "primary_partner": {
      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
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    "founders": [
      {
        "user_id": 1868530,
        "full_name": "Adi Singh",
        "title": "Founder/CEO",
        "founder_bio": "co-founder & ceo @ Reason Machines\nEECS @ UC Berkeley, Cybernetics NTNU\nPrev built a rust based IDE from scratch\n21\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/adisinghlink",
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      {
        "user_id": 3131989,
        "full_name": "Sven Myhre",
        "title": "Founder/CTO",
        "founder_bio": "co-founder @ Reason Machines (P26)\n-\nWith a background in EECS from UC Berkeley and scaling ML infra in industry, some notable milestones include winning 1st place in the Norwegian AI Championship 2025, having chaired Norway's largest AI student org and having ran ultramarathons (100km>).",
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      {
        "id": 102429,
        "title": "Engineering Internship",
        "url": "https://www.ycombinator.com/companies/reason-machines/jobs/r1SHuHh-engineering-internship",
        "location": "San Francisco, CA, US",
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        "equity_range": "0.50% - 2.00%",
        "experience": "Any (new grads ok)",
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    "launches": [
      {
        "id": 102348,
        "title": "Ara - The World's First Self-driving IDE",
        "tagline": "The IDE that thinks ahead of you",
        "body": "Hey everyone, we’re [Adi](https://www.linkedin.com/in/adisinghlink/) and [Sven](https://www.linkedin.com/in/svemy/) - cofounders of [Ara](https://ara.so/) 👋\\\n\\\n**tl;dr:** we built an IDE for the future\n\n<https://youtu.be/6ASb9QW2QEw>\\\n\\\n**the problem**\\\nThe bottleneck in development keeps moving. It used to be writing the code. Then agents solved that, and it became reviewing the code. Now what's left is planning the next step, and every IDE still waits.\n\n![uploaded image](/media/?type=post&id=102348&key=user_uploads/3131989/cb840d79-95f8-446d-b4cd-a60e9db72a85)\n\n**the solution** \\\nAra closes the loop. It proactively plans your next step, handing you proposals you can discard or send off to follow up on, with self-improving memory across all your tools and sessions, and full visibility across chats, files, browsers, terminals, and review panes.\n\n![uploaded image](/media/?type=post&id=102348&key=user_uploads/3131989/fc09658e-c84b-4e56-8b00-4485c3de72ae)\n\n\\\n**team**\\\nAdi and Sven both studied EECS at UC Berkeley. Adi worked in applied ML, at Scale AI and previously built an IDE company. Sven was an ML engineer on production systems and chaired Norway's largest student AI org. Serial hackathon winners, they've built and lived together across four cities and dropped out to build the IDE they always wanted.\n\nThe goal is an IDE that runs the development loop end to end, not one that waits for instructions.\n\n\\\n_The IDE for token-maxxers._\n\n![uploaded image](/media/?type=post&id=102348&key=user_uploads/3131989/eb3b255b-1cc1-4f77-a1c5-aa2f22227b7b)\n\n**our ask**\\\nTry it! [**Download Ara**](https://ara.so/) and email us at [founders@ara.so](mailto:founders@ara.so) with your feedback.",
        "url": "https://www.ycombinator.com/launches/Qcm-ara-the-world-s-first-self-driving-ide",
        "votes": 30,
        "created_at": "2026-06-01T00:32:45.864Z"
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    "id": 31464,
    "name": "Soria",
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    "all_locations": "New York City, NY, USA",
    "long_description": "Soria is an AI-native Financial Terminal for investors who specialize in a particular sector, starting with healthcare. Our agents convert hundreds of the most important public and private sources into an always-on financial model, reviewed by domain experts and delivered to hedge funds, banks, and asset managers through a terminal UI, MCP, API, warehouse sync, and research feed. Unlike our competitors, we own the data layer and expand bottom-up, one sector at a time - additionally our agents proactively do research on behalf of our clients without them lifting a finger or sharing any data.",
    "one_liner": "AI Financial Research Terminal built for Healthcare (and beyond)",
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    "industry": "Fintech",
    "subindustry": "Fintech -> Asset Management",
    "launched_at": 1779835583,
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    "city": "New York City",
    "country": "US",
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      "name": "Harj Taggar",
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      {
        "user_id": 1865223,
        "full_name": "Adam Ron",
        "title": "Founder/CEO",
        "founder_bio": "Adam led coverage of the healthcare sector Soria covers today at Bank of America, and advised 100s of hedge funds on how to invest in the industry. He went to Rutgers, and while there started his first company when he was 18 (GoPuff competitor).",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/adammron",
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      {
        "user_id": 2983501,
        "full_name": "Cameron Spiller",
        "title": "Founder/CTO",
        "founder_bio": "Cameron was the first engineer at Petal and Pinwheel scaling them to $500M-$1B in valuation. He later served as a startup CTO and advisor to multiple early‑stage startups.\n\nCameron went to Virginia Tech, and at 12 he started his first company in computer repair and data recovery.",
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      {
        "id": 102958,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/soria/jobs/tEHmSjy-founding-engineer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $175K",
        "equity_range": "2.50% - 5.00%",
        "experience": "Any (new grads ok)",
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      {
        "id": 102043,
        "title": "Soria: AI-native Financial Terminal for Healthcare (and beyond)",
        "tagline": "The only financial research terminal built for sector specialists",
        "body": "**_TL;DR:_** Soria is an AI-native Financial Terminal for investors who specialize in a particular sector, starting with healthcare. Our agents convert hundreds of the most important public and private sources into an always-on financial model, reviewed by domain experts and delivered to hedge funds, banks, and asset managers through a terminal UI, MCP, API, warehouse sync, and research feed. Unlike our competitors, we own the data layer and expand bottom-up, one sector at a time - additionally our agents proactively do research on behalf of our clients without them lifting a finger or sharing any data.\\\n\\\n<https://www.youtube.com/watch?v=9tgfT9DDbNQ>\n\nToday [**Cameron Spiller**](https://www.linkedin.com/in/cameron-spiller-b316b850/) and I are excited to launch **Soria**, an AI research terminal built specifically for healthcare investors in public markets.\n\nI spent 8 years as a VP in Equity Research at Bank of America covering healthcare and serving hundreds of hedge fund, private equity, and VC clients. Soria is the platform I always wished I had. Cameron is a serial founding engineer and CTO who has spent the last decade building fintech startups, always from &lt;5 people all the way to billion dollar plus outcomes.\n\nIn addition to YC we are backed by the founders of GLG, as well as other industry insiders, and we recently won BattleFin’s #1 New Data Vendor award. **We already serve teams at many of the largest banks, hedge funds, and asset managers in the world, managing >$1T in assets**. Our users are fundamental equity analysts, often people who have spent years or decades covering healthcare.\n\nThe core problem is simple: the research process is still too manual, time-intensive, error-prone, and fragmented. Analysts waste up to 1/3 of their time doing repetitive work that doesn’t even generate alpha. Meanwhile, most solutions including Bloomberg are too generalized, they offer almost nothing relevant to healthcare or other domain specific verticals.\n\nSoria ingests the most important public and private sources healthcare analysts actually care about, structures them into an always-updated sector model. Pre-AI the domain context just didn’t scale.\n\nWe are differentiated in three critical ways:\n\n**1. Soria is proactive. It’s like an OpenClaw agent that you don’t have to set up.**\n\nThere is **zero setup**. From day one, analysts receive updates on the most important data points, curated and reviewed by actual research analysts. Every day we add more sources, and the model gets better without users needing to configure or maintain anything.\n\n**2. Soria requires no data sharing.**\n\nWe do not need to integrate into a bank or fund to be useful. We build the research and data layer ourselves, then deliver the **output** however the customer wants it: terminal UI, MCP, API, warehouse sync, or email.\n\n**3. Soria builds coverage one sector at a time.**\n\nMost AI finance tools help analysts work faster, but still leave the job of sector coverage to the analyst. Soria can do that work upfront because we are hyper-specialized.\n\nFor healthcare services teams, Soria can consolidate $200k+ of annual vendor spend across products like Milliman, HMA, Mark Farrah, AHD, Daloopa, FactSet, and NAIC, while also absorbing a large portion of the repetitive associate-level data work that doesn’t scale.\n\nThat’s just the first sector, there are 228 globally. Our vision: as we build out each sector, we consolidate it into a model of healthcare, the US and eventually the world.",
        "url": "https://www.ycombinator.com/launches/QXr-soria-ai-native-financial-terminal-for-healthcare-and-beyond",
        "votes": 37,
        "created_at": "2026-05-28T00:48:50.381Z"
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    "id": 31465,
    "name": "Aseon Labs",
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    "website": "https://www.aseonlabs.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Aseon Labs builds robotic pitstops for self-driving cars.\r\n\r\nAutonomous vehicles can drive themselves, but they still rely on humans and centralized depots for charging, cleaning and servicing multiple times per day. As fleets scale, the operational layer makes up 70% of the cost of the service and is of the largest barrier to uptime, profitability and market expansion.\r\n\r\nAseon Pods are robotic micro-depots that can be deployed directly within operating zones, bringing fleet servicing to where demand exists. By eliminating unnecessary depot trips and automating routine operations, Aseon helps autonomous fleet operators increase uptime, reduce reset cost by 50% and unlock scale.\r\n\r\nFounded by the team behind Pushme, which deployed 5,000 mobility infrastructure locations across 40 cities before its acquisition by TIER-Dott, Aseon is funded and building product in Redwood City for pilot deployment with major autonomous vehicle operators.",
    "one_liner": "Robotic pitstops for self-driving cars",
    "team_size": 5,
    "industry": "Industrials",
    "subindustry": "Industrials -> Manufacturing and Robotics",
    "launched_at": 1778523485,
    "tags": [],
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
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      "Manufacturing and Robotics"
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    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
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    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/aseon-labs",
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    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/aseon-labs/",
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      "name": "Pete Koomen",
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    "founders": [
      {
        "user_id": 180428,
        "full_name": "George Kalligeros",
        "title": "Founder/CEO",
        "founder_bio": "Cofounder & CEO @ Aseon Labs, robotic pitstops for self-driving cars.\n\nPreviously founded Pushme, building the world’s largest battery-swap network for shared e-scooters & e-bikes across 5,000 stations in 40 cities before acquisition by TIER-Dott ($600M raised). \n\nBefore Aseon, I led a 100-person team and deployed $300M+ in fleet hardware as VP Hardware @ TIER-Dott. Started my career as a mechanical engineer @ Tesla.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/kalligeros",
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      {
        "user_id": 2699748,
        "full_name": "Dan Keene",
        "title": "Founder/COO",
        "founder_bio": "Cofounder & COO @ Aseon Labs, robotic pitstops for self-driving cars.\n\nPreviously founded Pushme, building the world’s largest battery-swap network for shared e-scooters & e-bikes across 5,000 stations in 40 cities before acquisition by TIER-Dott ($600M raised). \n\nBefore Aseon, I was CBO @ Superduper ($4B cross-chain infra) and led 20 markets @ Deliveroo (DoorDash). Started in M&A @ Greenhill & Co. and UBS / Credit Suisse.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/dancbkeene/",
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    "jobs": [
      {
        "id": 94541,
        "title": "Senior Robotics Engineer (Full-Time)",
        "url": "https://www.ycombinator.com/companies/aseon-labs/jobs/kHuQykj-senior-robotics-engineer-full-time",
        "location": "Redwood City, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Robotics",
        "salary_range": "$170K - $220K",
        "equity_range": "0.25% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 96506,
        "title": "Founding Mechanical Engineer (Full-Time)",
        "url": "https://www.ycombinator.com/companies/aseon-labs/jobs/LQbGSh4-founding-mechanical-engineer-full-time",
        "location": "Redwood City, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Mechanical",
        "salary_range": "$170K - $250K",
        "equity_range": "0.25% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 96507,
        "title": "Founding Electrical Engineer (Full-Time)",
        "url": "https://www.ycombinator.com/companies/aseon-labs/jobs/CmzAwOS-founding-electrical-engineer-full-time",
        "location": "Redwood City, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Electrical",
        "salary_range": "$170K - $250K",
        "equity_range": "0.25% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
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      },
      {
        "id": 98719,
        "title": "Mechanical Engineering Placement (6 Months), New Grad",
        "url": "https://www.ycombinator.com/companies/aseon-labs/jobs/KAqkZ7W-mechanical-engineering-placement-6-months-new-grad",
        "location": "Redwood City, CA, US",
        "type": "Full-time",
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        "experience": "Any (new grads ok)",
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    "news": [
      {
        "title": "Robotaxis drive miles just to get cleaned and charged; this new startup wants to fix that | TechCrunch",
        "url": "https://techcrunch.com/2026/06/26/this-silicon-valley-startup-has-raised-10m-to-build-pitstops-to-clean-and-charge-robotaxis/",
        "date": "Jun 26, 2026"
      },
      {
        "title": "Atlanta puts robotaxi technology to the test - YouTube",
        "url": "https://www.youtube.com/watch?v=1697nkIVH-8",
        "date": "Jun 03, 2026"
      },
      {
        "title": "TechCrunch Mobility",
        "url": "https://techcrunch.com/2026/05/17/techcrunch-mobility-the-ai-skills-arms-race-is-coming-for-automotive/#:~:text=Aseon%20Labs%2C%20a%20Redwood%20City%2C%20California%2C%20startup%20that%20has%20developed%20a%20depot%20in%20a%20box%20for%20charging%2C%20cleaning%2C%20and%20inspecting%20autonomous%20fleets%2C%20came%20out%20of%20stealth%20with%20undisclosed%20backing%20by%20Y%20Combinator.%C2%A0",
        "date": "May 17, 2026"
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      {
        "title": "Can this Silicon Valley startup make autonomous fleets profitable? - Fast Company",
        "url": "https://www.fastcompany.com/91540540/can-this-silicon-valley-start-up-make-autonomous-fleets-profitable",
        "date": "May 13, 2026"
      },
      {
        "title": "Welcome to Ground Truth | Introducing Aseon Labs",
        "url": "https://rideai.substack.com/p/welcome-to-ground-truth-introducing?utm_source=substack&publication_id=2261569&post_id=197665993&utm_medium=email&utm_content=share&utm_campaign=email-share&triggerShare=true&isFreemail=true&r=7z5ecj&triedRedirect=true",
        "date": "May 12, 2026"
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      {
        "id": 101210,
        "title": "Aseon Labs: robotic pitstops for self-driving cars",
        "tagline": "A depot in-a-box for charging, cleaning & inspecting autonomous fleets",
        "body": "**TL;DR:** Autonomous vehicles still rely on centralized, human-operated depots for daily charging, cleaning and servicing. Aseon builds robotic pitstops that let AV fleets reset directly inside the city, reducing downtime, dead miles and operating cost.\n\n<https://youtu.be/4lFZU9pY1gM>\n\n## **❌ The problem**\n\nAutonomous driving is working. The operational layer around it is not.\n\nToday, autonomous vehicles regularly leave high-demand zones up to 3 times per day just to charge, clean and get inspected.\n\nMost fleets still rely on large, remote, human-operated centralized depots.\n\nThat means:\n\n* 10–15 mile roundtrips just to reset vehicles\n* vehicles out of operation for hours\n* up to 44% of vehicle time spent driving empty\n* as many as 1 in 3 vehicles unavailable during peak demand\n* reset costs that can exceed $100 per cycle\n\nFor autonomous fleets, uptime is revenue. But today’s operating model still looks like traditional depot logistics.\n\n## **✅ What we built**\n\nWe believe autonomous vehicles need autonomous operations, always available and distributed across the centre of the city.\n\nSo we built the Aseon pod: **a robotic pitstop station that bundles high-frequency depot workflows into a compact, rapidly deployable pod.**\n\nAseon Pods allow fleets to:\n\n* charge vehicles near demand\n* automatically clean interiors &amp; exteriors\n* run inspection workflows between rides\n* access a reset within max. 2 miles of a vehicle’s location\n\nCompared to traditional depot operations, Aseon can:\n\n* reduce reset cost by up to 50%\n* reduce time out of service by up to 65%\n* increase revenue per vehicle by $50k+ per year\n\nAseon Labs is building a new category of infrastructure for autonomous fleets: robotic pitstops deployed directly where vehicles operate.\n\n![uploaded image](/media/?type=post&id=101210&key=user_uploads/180428/dacbddc1-d989-4d47-94b1-37c323826394)\n\n## **🧩 Why us**\n\nWe’re second-time founders, building together for the second time.\n\nOur previous company, Pushme, became the world’s largest battery-swap network for shared e-scooters and e-bikes, across 5,000 locations in 40 cities before being acquired by TIER-Dott ($600M raised).\n\nBefore Aseon:\n\n**George Kalligeros** led TIER’s 100-person hardware organization and deployed $300M+ in fleet hardware as VP Hardware; was a mechanical engineer at Tesla.\n\n**Dan Keene** scaled TIER energy network to 5k locations. He later served as CBO at Superduper ($4B infra). Prior to that he led 20 markets at Deliveroo (DoorDash) and worked in M&amp;A.\n\n# **📣 Our Ask**\n\nWe’re currently building our founding team across robotics, hardware and ML.\n\nIf you know exceptional engineers working on robotics, autonomy, computer vision, hardware systems or industrial automation, we’d love an introduction.",
        "url": "https://www.ycombinator.com/launches/QKQ-aseon-labs-robotic-pitstops-for-self-driving-cars",
        "votes": 11,
        "created_at": "2026-05-11T20:18:54.868Z"
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  },
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    "id": 31470,
    "name": "Tasklet",
    "slug": "tasklet-2",
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    "website": "https://tasklet.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "AI chatbots can answer questions, but they can't do your work — they aren't connected to your tools, can't take actions, and stop running when you close the tab. Meanwhile, knowledge workers are still spending most of their day switching between dozens of SaaS apps, manually stitching together workflows that should be automated.\r\n\r\nTasklet is the AI agent that actually does the work. It connects to every tool you use — via thousands of built-in integrations, any HTTP API, or MCP servers — and takes real actions on your behalf: pulling reports, updating CRMs, triaging emails, processing data, and more. When it needs a UI, it generates one on the fly. When it needs to crunch numbers or do bulk operations, it writes and runs code in a cloud sandbox. When it needs to interact with a website that doesn't have an API, it uses a real browser. And because it runs in the cloud 24/7, you can set up triggers to have it take ongoing responsibility for workflows — not just do something once, but handle it going forward.\r\n\r\nThe product is deliberately simple: a chat interface where you talk to an extremely capable agent. But underneath that simplicity is a cloud-native agent runtime, best-in-class context engineering, a universal connections layer, and multi-model support that keeps us on the frontier as AI improves. \r\n\r\nWe think legacy SaaS is being unbundled by agents, and Tasklet is the operating system that ties it all together.",
    "one_liner": "Agents that own the work",
    "team_size": 8,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1775251797,
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    "regions": [
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      "America / Canada",
      "Remote",
      "Partly Remote"
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    "stage": "Growth",
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    "question_answers": [
      {
        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "We met at Firebase and continued working together at Google after the acquisition. In 2020 we left to start a company together, initially building an email client called Shortwave. While adding an AI agent to Shortwave in late 2024, we noticed something surprising: some users kept asking for the agent and integrations without the email client. They wanted a general-purpose AI agent that could connect to all their work tools — not just email. So in 2025 we made a bold bet, building Tasklet as a standalone cloud AI agent for knowledge work."
      },
      {
        "question": "What's the history of your company from getting started until the present day? What were the big inflection points?",
        "answer": "We founded the company in 2020 as a team of ex-Firebase/Google engineers. We initially built Shortwave, an AI-powered email client. After ChatGPT launched, we went all-in on AI and built a conversational assistant for email that showed real traction.\\\r\n\\\r\nIn fall 2024 we shipped a full AI agent inside Shortwave — and growth accelerated. We started adding integrations with CRMs, project management tools, and messaging apps, and were among the first products to support MCP. That's when something unexpected happened: users started telling us they wanted the agent and integrations but didn't care about the email client.\r\n\r\nSo in 2025 we made a bold move — we built Tasklet, a standalone cloud AI agent for knowledge work. We went from idea to first user in under 6 weeks, and it was a massive hit. Each new capability we shipped (v2 agent architecture, sandbox, computer use, triggers) accelerated growth further, and by January 2026 Tasklet alone was adding more monthly revenue than Shortwave had in its first 4 years."
      },
      {
        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "AI chatbots can answer questions, but they can't actually do your work. They aren't connected to your tools, they can't take actions, and they stop running the moment you close the tab. The result is that knowledge workers still spend most of their day switching between dozens of SaaS apps — pulling data from one, updating another, copy-pasting between tabs, and stitching together workflows manually.\\\r\n\\\r\nWe're building the AI agent that replaces all of that: one app that connects to every tool you use, runs 24/7 in the cloud, can use a computer, and can take ongoing responsibility for entire workflows."
      },
      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "In the long run, we believe most knowledge work will be done by AI agents, not humans. Tasklet is the operating system for that future — the place where you manage, direct, and collaborate with agents that handle your work across every tool.\r\n\r\nIf we truly succeed, the average knowledge worker will 10x their output not by working harder, but by delegating most of their routine work to agents that run 24/7. Legacy SaaS apps will fade into background infrastructure that agents access via API, and the human's job shifts from doing the work to directing it. We think this is as big a shift as the move from desktop software to cloud — and we're building the platform that makes it happen."
      }
    ],
    "url": "https://www.ycombinator.com/companies/tasklet-2",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/tasklet-2.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/taskletai/",
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/81b17e42b6c7c39c503ac476a049465e7d2e530d.png",
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      "name": "Andrew Miklas",
      "url": "https://www.ycombinator.com/people/andrew-miklas"
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    "founders": [
      {
        "user_id": 9178,
        "full_name": "Andrew Lee",
        "title": "Founder/CEO",
        "founder_bio": "Current: founder at Tasklet\nFormerly: founder at Firebase & Shortwave\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/startupandrew/",
        "x_url": "https://twitter.com/startupandrew",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3f4f2dc761f3a9b6dfd2089cc1a88cc449023acc.jpg"
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      {
        "user_id": 3465650,
        "full_name": "Jonny Dimond",
        "title": "Founder",
        "founder_bio": "Putting agents to work @ Tasklet",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jonnydimond/",
        "x_url": "https://x.com/jonnydimond",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f27ef0f6587f0bd991ebb2f466a430a8eedb6cf4.jpg"
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    "jobs": [
      {
        "id": 92948,
        "title": "Head of Design Engineering",
        "url": "https://www.ycombinator.com/companies/tasklet-2/jobs/Qz919CA-head-of-design-engineering",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Design",
        "role_type": "Product design",
        "salary_range": "$300K - $450K",
        "equity_range": "0.35% - 0.70%",
        "experience": "6+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 92949,
        "title": "Software Engineer — AI Infra",
        "url": "https://www.ycombinator.com/companies/tasklet-2/jobs/OXrYogv-software-engineer-ai-infra",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$225K - $425K",
        "equity_range": "0.20% - 0.65%",
        "experience": "11+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 92950,
        "title": "Software Engineer — Platform",
        "url": "https://www.ycombinator.com/companies/tasklet-2/jobs/HUSklWt-software-engineer-platform",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$225K - $425K",
        "equity_range": "0.20% - 0.65%",
        "experience": "6+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 94464,
        "title": "Customer Success Engineer",
        "url": "https://www.ycombinator.com/companies/tasklet-2/jobs/UcpBWuw-customer-success-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Support",
        "role_type": null,
        "salary_range": "$140K - $185K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 94748,
        "title": "Software Engineer — Product",
        "url": "https://www.ycombinator.com/companies/tasklet-2/jobs/8WgDV4q-software-engineer-product",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$225K - $425K",
        "equity_range": "0.20% - 0.65%",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
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    "launches": [
      {
        "id": 99481,
        "title": "Tasklet – The cloud agent OS for knowledge work",
        "tagline": "AI agents that connect to all your tools, use computers in the cloud, and run automatically 24/7 to get real work done",
        "body": "Hey YC! 👋\n\nWe're Andrew and Jonny, and we're building **Tasklet** — the cloud agent operating system for knowledge work.\n\nTasklet’s AI agents connect to every tool you use at work and actually get things done — pulling reports, updating CRMs, processing data, triaging emails, and more. They run 24/7 in the cloud and take ongoing responsibility for your workflows. We've grown &gt;**1,200% since January 1** to **$5M ARR** and just raised **$20M** from USV, Lightspeed, Jeff Dean, the Collison brothers, and others.\n\n<https://youtu.be/sriwtDYi6XQ>\n\n### ❌ The Problem\n\nAGI is here, but knowledge workers still spend their days switching between dozens of SaaS apps, manually copying data between tools, and stitching together workflows that should be automated.\n\nAI chatbots can answer questions, but they can't actually _do_ your work — they aren't connected to your tools, can't take real actions, and stop running when you close the tab.\n\n### 🛠 What We Built\n\nTasklet is a single, powerful AI agent that:\n\n* **Connects to everything** — thousands of built-in integrations, any HTTP API, any MCP server, or a full cloud browser for sites without APIs\n* **Takes real actions** — not just answering questions, but doing the work across all your tools\n* **Runs 24/7 in the cloud** — set up triggers (schedules, emails, Slack messages, webhooks) and Tasklet handles workflows autonomously, even when you're asleep\n* **Generates UIs on the fly** — need a dashboard, form, or visualization? It creates one instantly\n* **Writes and runs code** — crunches numbers, processes data, and handles bulk operations in a cloud sandbox\n* **Gets smarter over time** — we automatically improve your agents as new models & technologies come out.\n\nThe product is deliberately simple: a chat interface where you talk to an extremely capable agent. But underneath that simplicity is a cloud-native runtime, best-in-class context engineering, and a universal connections layer.\n\n### 📈 Traction\n\n* **&gt;1,200% growth** since January 1\n* **$5M ARR** and accelerating\n* Just raised **$20M** at a **$175M valuation** from **USV, Lightspeed, Jeff Dean, Patrick & John Collison, and others**\n\n### 👥 The Team\n\nAndrew previously founded **Firebase** (YC S11 — acquired by Google) and is back at YC to seize the moment. Jonny was an early Firebaser and the technical lead for Google Cloud Firestore. We lead a 9-person team in San Francisco with deep experience in agent systems, cloud infrastructure, and productivity tools from their time at Firebase, Google, Amazon, and OpenAI.\n\n### 🚀 Try Tasklet & Help us find talent\n\n👉 **Sign up at [tasklet.ai](http://tasklet.ai) and put your new AI agent to work.**\n\n👉 **We're hiring!** 11 open roles across engineering, design, marketing, and more. We’re offering a $20k referral bonus. [Check out our careers page.](https://tasklet.notion.site/Open-Positions-at-Tasklet-2a3688565308819fa2f7e9440b5729fa)\n\nWe'd love to hear what you think — drop a comment and tell us what’s working well & what isn’t.",
        "url": "https://www.ycombinator.com/launches/PsX-tasklet-the-cloud-agent-os-for-knowledge-work",
        "votes": 39,
        "created_at": "2026-04-07T16:48:20.499Z"
      }
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  },
  {
    "id": 31473,
    "name": "Kuli",
    "slug": "kuli",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d0faca2d7e56f4ac9ab8fe42a2e560d516e70bab.png",
    "website": "https://kuli.one",
    "all_locations": "Paris, Île-de-France, France",
    "long_description": "Kuli is an AI coworker for marketing teams at the world's largest consumer brands. Our agent watches all videos across social media, learns the brand's context and helps them turn signals from billions of social videos into winning campaigns without increasing headcount.\r\n\r\nPrevious platforms gave marketers databases to search through and a CRM. Kuli actually watches the content. Marketers at team like Disney, Nivea and PostHog use it to scout creators, run analysis on trends and competitor strategies, and analyse what makes their campaign perform better.\r\n\r\nFor 10 years, influencer marketing meant more tools, more tabs, more spreadsheets. Kuli replaces all of that with one single agent you orchestrate. One marketer with Kuli does what a $50K/month agency bills for manual tasks.",
    "one_liner": "AI coworker for marketing teams at the largest consumer brands",
    "team_size": 1,
    "industry": "B2B",
    "subindustry": "B2B -> Marketing",
    "launched_at": 1775508388,
    "tags": [],
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
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      "Marketing"
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    "regions": [
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      "Europe"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/kuli",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/kuli.json",
    "year_founded": null,
    "city": "Paris",
    "country": "FR",
    "linkedin_url": "https://www.linkedin.com/company/kuliai/",
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d0faca2d7e56f4ac9ab8fe42a2e560d516e70bab.png",
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    "primary_partner": {
      "name": "David Lieb",
      "url": "https://www.ycombinator.com/people/david-lieb"
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    "founders": [
      {
        "user_id": 1865906,
        "full_name": "Michael Hodara",
        "title": "Founder/CEO",
        "founder_bio": "Cofounder and CEO @Kuli, Creator Marketing OS\n\nBefore Kuli, I led AI and data science across Aircall's go-to-market org, building the AI systems that dynamically allocated +20M$ in annual marketing spend on Paid Ads\n\nML Engineer from EPFL where I led a 40ppl consulting org to best Junior Entreprise in Europe, growing revenue 50% to €350K across 100+ clients.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/michaelhodara",
        "x_url": "https://x.com/maradoh22",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/03c9a997f205c702097d4e943411e64f1f6b9868.jpg"
      },
      {
        "user_id": 1985040,
        "full_name": "Jonathan Hassan",
        "title": "Founder/CRO",
        "founder_bio": "Cofounder and COO @Kuli, Creator Marketing OS.\n \nSix years at KPMG, where I became the firm's youngest-ever M&A manager and led multi-billion-dollar deals for clients like Nestlé. From the inside, I saw how badly the world's biggest brands struggle with social and creator marketing.\n\nI run sales and operations at Kuli, where we've signed clients like Disney and Nivea in our first few months.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jonathan-salvador-hassan/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d505fc0a3c1ab72a01d10fa69eb9972bc1d97335.jpg"
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    "jobs": [
      {
        "id": 100373,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/kuli/jobs/3xm0u76-founding-engineer",
        "location": "Paris, IDF, FR / Paris, Île-de-France, FR",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "€60K - €90K EUR",
        "equity_range": "0.30% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": [
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    "launches": [
      {
        "id": 100704,
        "title": "Kuli: The AI coworker for marketing teams at Consumer Brands",
        "tagline": "An AI agent that watches all videos on socials to help you plan and run campaigns faster.",
        "body": "**TL;DR:** Kuli is the AI coworker for influencer marketing teams at consumer brands. It watches every video, knows your brand, plans and runs your campaigns. 5 months in, the largest Fortune 100 entertainment brand now ships 3x more campaigns on Kuli.\n\n<https://www.youtube.com/watch?v=0wdu4XS7BHk>\n\n# **❌** The problem\n\nBrand partnerships with creators are doubling in 2026. Teams are being asked to do more without additional headcount. More creators to find. More videos to watch. More emails and more reporting. Each of these steps is still manual.\n\nA marketer's week looks like this :\n\n* 8 hours scrolling TikTok to shortlist creators\n* Wednesday morning catch-up on trends and competitor monitoring\n* 100s of emails with creators\n* Friday spent preparing the reporting of last campaign\n\nThat's one campaign. Most teams run several of them per month. They pay six figures a year for influencer tools that don't analyze video and leave teams to do the manual work themselves.\n\nSo they end up paying an agency to do the same manual work.\n\n# ✅ What we built\n\n**Kuli is the AI coworker for influencer marketing teams at consumer brands. It watches every video on socials, knows the brand, runs campaigns end to end.**\n\nA marketer types :  “Find US microcreators (women, 30s) sharing parenthood struggles, with content around simplifying routines, aligned with an all-in-one skincare cream. Vet for brand fit, analyze past collab performance, and draft personalized outreach.”\n\nWhile the marketer is in a meeting, Kuli is scrolling through millions of videos to surface the right creators. Reads every comment. Decodes the patterns behind top-performing content. Starts negotiating rates and pings the marketer when it needs input.\n\n# 🧲 Early Traction\n\n5 months in, and the largest Fortune 100 entertainment brand, the leading mobile gaming studio and some of the biggest cosmetics brands cut their agency fee and ship 3x more campaigns without adding headcount.\n\n**Marketers orchestrate. Kuli operates.**\n\n# 🧩 Team\n\nTen years ago we started building side hustles together. We then saw this problem from different angles :\n\n**Michael Hodara** — built AI systems to run a $25M marketing budget at Aircall and Logitech based on voice and visual analysis. \n\n**Jonathan Hassan** — advised consumer brands at KPMG on billion-dollar deals. He saw them lose hundreds of millions because of the wrong creator choices.\n\n![uploaded image](/media/?type=post&id=100704&key=user_uploads/1865906/af16cbec-acb9-4ea5-a8cc-b8b2452b5e01)\n\n# **📣 Our Ask**\n\nIf you **run social or influencer marketing at a brand**, we’re here to give you and your team your time back and help you outpace competition.\n\nBook a demo on [kuli.one](http://kuli.one) or write to us on [founders@kuli.one](https://mailto:founders@kuli.one) if you want to see what the most effective consumer brands are already doing.\n\nWe’re also **hiring a growth genius**. Your unfair advantage: Kuli.\\\nYou’ll see more content, spot patterns earlier, and move faster than anyone else. \\\n Send us a video at [founders@kuli.one](https://mailto:founders@kuli.one).\n\n![uploaded image](/media/?type=post&id=100704&key=user_uploads/1865906/0103f7b2-1aae-4ef1-a1e3-af7ab73dd26c)\n\n",
        "url": "https://www.ycombinator.com/launches/QCG-kuli-the-ai-coworker-for-marketing-teams-at-consumer-brands",
        "votes": 27,
        "created_at": "2026-05-04T04:30:10.147Z"
      }
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  {
    "id": 31475,
    "name": "Ardent",
    "slug": "ardent",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f4ef54cc2ae204ad4ac662f9bfacf6a3fa6faf47.png",
    "website": "https://tryardent.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Clone any postgres DB regardless of size in 6s so agents can test their work",
    "one_liner": "Database sandboxes for Agents",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1775685642,
    "tags": [],
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
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      "Infrastructure"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/ardent",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/ardent.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/ardent-db",
    "x_url": "https://x.com/ArdentAI",
    "fb_url": null,
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f4ef54cc2ae204ad4ac662f9bfacf6a3fa6faf47.png",
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    "primary_partner": {
      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
    },
    "founders": [
      {
        "user_id": 1239054,
        "full_name": "Vikram Chennai",
        "title": "Founder/CEO",
        "founder_bio": "Database sandboxes for Agents. Clone any Postgres DB regardless of size in 6s so agents can test their work\n\nFormerly ML Engineer, Cornell CS",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/vikram-chennai/",
        "x_url": "https://x.com/vchennai2",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5e3dd79a34fc2739d09791645c7883ccf5c8f6ce.jpg"
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    "jobs": [
      {
        "id": 102418,
        "title": "Founding Engineer - Product (Staff)",
        "url": "https://www.ycombinator.com/companies/ardent/jobs/4fjIRN4-founding-engineer-product-staff",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $200K",
        "equity_range": "1.00% - 3.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Go",
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    "news": [],
    "launches": [
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        "id": 100815,
        "title": "Ardent - Clone any postgres DB of any size in <6s",
        "tagline": "Ardent lets engineers give their coding agents 1:1 clones of prod to test code and prevent downtime",
        "body": "Hi! I’m Vikram founder of [@Ardent](https://bookface.ycombinator.com/company/31475). **We let you clone any postgres DB in &lt;6s** so your coding agents and devs can test code on a 1:1 of production or dev DBs with zero risk\n\n![uploaded image](/media/?type=post&id=100815&key=user_uploads/1239054/b0ebde7f-0ac7-49a9-8f42-e4fb3f26d585)\n\nWe’re working with companies with huge amounts of data like Supermemory and YC companies like [@Surface Labs](https://bookface.ycombinator.com/company/28921)\n\n**This is me cloning a 1.6TB db is 6s:**\n\n<https://youtu.be/8Q4IX7HUJmo>\n\nWebsite: <https://tryardent.com/>\n\n**How did we get here (the problem)?**\n\nArdent was a reaction to the failure of our last product - an AI Data Engineer. It was a coding agent that generated data pipelines, wrote migrations, backfills and other things you’d expect of a data engineer.\n\nWhile the code _looked_ great we had no way of testing generated code. Writing to prod was out of the question and dev environments were never in sync, shared amongst devs which caused write clashes between agents, and was a huge pain to manage. **_What we needed was a ephemeral DB sandbox per agent of the user’s DB._**\n\nBecause of how hard testing was, generated code would never be tested and was too unstable to put in production. Database failures almost always mean downtime, a risk both we and customers were obviously not willing to take. We churned almost 200K in ARR\n\nThis problem exists with any coding agent today. We’re shipping 100x more DB code to production and we mostly just hope to god it works the same as dev.\n\n**Ardent - Isolated &lt;6s database clones that let you test agent code:**\n\nArdent solves the DB sandbox problem by letting you create 6s clones of ANY postgres DB regardless of size, allowing you to give every developer and every agent a full copy of production or dev to test against.\n\nClones autoscale to zero when not in use, use copy on write for massive storage efficiency and can be loaded with a single CLI command (zero infra management)\n\nYou can see the exact results of any code run against the DB in a perfect 1:1 reproduction and don’t have to change your DB provider.\n\nThe entire thing runs as a CLI that feels exactly like git. Cloning is as simple as “ardent branch create &lt;name&gt;”\n\nThis means you can spin up instant environments to test _every_ line of DB code with none of the overhead\n\n**Asks**\n\n**Use Ardent at your company to go faster by let agents work safely at the DB layer and prevent regressions:** <https://cal.com/vikram-chennai/yc-reserved>\n\n**Introduce me to series A-C engineering leaders (Founders, CTOs, VP of Eng):** Many of the later stage startups we’ve talked to have the majority of their engineers shipping with claude, codex or cursor on migrations, backfills and pretty much any code that hits the DB. They will eventually crash their production DB unless they’re rigorously testing. I’d like to prevent those crashes :)\n\nContact me: [vikram@tryardent.com](mailto:vikram@tryardent.com)",
        "url": "https://www.ycombinator.com/launches/QE3-ardent-clone-any-postgres-db-of-any-size-in-6s",
        "votes": 16,
        "created_at": "2026-05-05T20:21:15.273Z"
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    "id": 31477,
    "name": "BioStack Platforms",
    "slug": "biostack-platforms",
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    "website": "https://www.getbiostack.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "BioStack is building the data engine for healthcare and drug discovery AI. The bottleneck is not models. It is access to high-quality biological data. Clinical and experimental data is fragmented, unstructured, and locked inside hospitals, labs, and CROs, while generating new data is slow and expensive. BioStack fixes this with proprietary clinical and preclinical data pipelines that turn real biomedical workflows into ML-ready training environments.\r\n\r\nWe structure longitudinal multimodal data across imaging, EHR, and experimental assays, then package it for post-training and reinforcement learning so models can learn how research and care actually happen. Instead of static datasets, BioStack gives AI labs workflow-aligned data and environments that improve reasoning, decision-making, and real-world performance in biology and medicine.",
    "one_liner": "Real world training envs for healthcare AI models",
    "team_size": 10,
    "industry": "Healthcare",
    "subindustry": "Healthcare",
    "launched_at": 1774518776,
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    "isHiring": true,
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    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/biostack-platforms",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/biostack-platforms.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
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    "app_video_url": null,
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    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
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    "founders": [
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        "user_id": 2459174,
        "full_name": "Sanat Mishra",
        "title": "Founder/CEO",
        "founder_bio": "I'm the co-founder and CEO of BioStack Platforms. In another life, I was a cancer genomics researcher at Stanford, Yale, Carnegie Mellon, and the Max-Planck Institute. I also worked as an early researcher with top AI labs on RL tasks and benchmarks across healthcare and biotech.\nHailing from Mumbai, I attended IISER Mohali and Carnegie Mellon for my BS and MS degrees respectively. ",
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        "linkedin_url": "https://www.linkedin.com/in/sanat-m-4b5077a4/",
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      {
        "user_id": 3418030,
        "full_name": "Parth Patwa",
        "title": "Founder/CTO",
        "founder_bio": "I am the Co-founder and CTO at BioStack Platforms. Prior to this, I was a Gen AI scientist at AWS. Before that, I was a researcher at MIT. I have published 40+ papers with 1800+ citations across top venues like CVPR, neurIPS, EMNLP etc. in ML, GenAI, NLP. \nI completed my MS from UCLA. \n",
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        "id": 92561,
        "title": "Clinical Data Lead",
        "url": "https://www.ycombinator.com/companies/biostack-platforms/jobs/HIfysXu-clinical-data-lead",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$120K - $200K",
        "equity_range": "0.10% - 1.00%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": [
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        "title": "Founding Research Engineer, RL/Reasoning",
        "url": "https://www.ycombinator.com/companies/biostack-platforms/jobs/M8GyMNX-founding-research-engineer-rl-reasoning",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$200K - $350K",
        "equity_range": "0.10% - 1.00%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
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      {
        "id": 101855,
        "title": "BioStack Platforms: Realistic healthcare simulation environments",
        "tagline": "We give AI labs the full post-training loop for healthcare",
        "body": "**Tl;Dr;**\n\nWe build realistic healthcare simulation environments where AI labs can train and improve their models before deploying them in the real world. Our environments use real-world clinical data to help models practice solving the hardest medical problems.\n\n![uploaded image](/media/?type=post&id=101855&key=user_uploads/2459174/a27d387c-2ddd-4a28-98b6-c8a96da0503a)\n\n**The problem**\n\nHealthcare AI is learning from a cleaned-up version of medicine that barely exists. Real patients are messy. Their records are incomplete. Their labs are late. Their notes conflict. Their outcomes unfold over months, not in one prompt.\n\nDoctors do not just answer questions. They make decisions with imperfect information, watch what happens, and adjust. That is the loop AI needs to perfect.\n\nToday, AI labs have medical data. What they do not have are real clinical environments where models can practice, fail, get feedback, and improve.\n\n**What BioStack does**\n\n* **We turn real patient records into training environments.** Not clean textbook cases. Real longitudinal data: notes, labs, imaging, meds, vitals, diagnoses, follow-ups, and outcomes stitched into cases models will actually have to work through.\n* **We build the tasks models train on.** Diagnose this. Order the next test. Adjust the medication. Flag the risk. Predict what happens next. The model makes a clinical move, then gets scored against outcomes, chain-of-thought reasoning, guidelines, and clinician review.\n* **We give AI labs the full post-training loop for healthcare.** Data, evals, reward functions, benchmarks, and simulation environments, so models can practice real clinical work instead of just memorising medical exams.\n\n[https://drive.google.com/file/d/1NvcLS2usN_bl4GE_tW7QVN5Ia-MGl8M6/view](https://drive.google.com/file/d/1NvcLS2usN_bl4GE_tW7QVN5Ia-MGl8M6/view?usp=sharing)\n\n**Backstory**\n\nWe started the company in Oct 2025 and burned through two pivots before we found the thing that pulled us in.\n\nFirst, we tried building multi-agent systems for biology research. It sounded right on paper. In practice, biology workflows are messy, fragile, and full of assumptions that have to be tuned by hand. One wrong parameter compounds downstream and suddenly nobody trusts the output. Scientists also were not ready to hand over real work to agents that still felt too brittle. We killed it after two months.\n\nThen we tried going deeper: generate preclinical drug discovery data ourselves, at scale, through our own lab facility. Again, it sounded ambitious. Again, it broke on contact with reality. It was capex-heavy, slow, operationally painful, and not truly venture-scalable. Worse, our edge was basically cheaper offshore execution. That is not a moat. That is a race to the bottom. We killed that too.\n\nThe third idea found us.\n\nThe best companies are born in the customer’s office. For us, it happened on a sales call.\n\nWe were pitching drug discovery data to one of the largest human data companies in the world. Halfway through, the conversation shifted. They did not want another generic data vendor. They asked if we could deliver high-quality clinical data for a six-figure contract.\n\n**That call changed the company.**\n\nWe realised the real bottleneck was not just raw data. AI labs need the full post-training stack for healthcare: clinical data, simulation environments, evals, reward functions, and verifiable tasks that make models better at real medical work.\n\nSo we followed the pull.\n\nToday, BioStack is building simulation environments for healthcare AI. We have expanded from one customer conversation into 17 customers and prospects, including top AI labs, and we are seeing demand across data, evals, and RL environments.\n\nWe did not arrive here through a brainstorm but got dragged here by the market.\n\n**Asks**\n\n* **Do you know** **anyone** **working on a AI models or agents** advancing current capabilities through multimodal applications, nuanced reasoning, or domain-specific expertise?\n* **Do you know of companies that require raw medical data?** We supply longitudinal high quality scans, EHR, and notes and we’re happy to send over samples.\n* **Have referrals for RL engineers / researchers?** We’re always looking to hire RL engineers who specialise in fine-tuning methods such as SFT, PEFT, and RL.\n* **Spread the word** - send us ideas for data types that you think are valuable and spread the word!\n\n**Feel free to reach out** at: [sanat@getbiostack.com](mailto:sanat@getbiostack.com) / [parth@getbiostack.com](mailto:parth@getbiostack.com)",
        "url": "https://www.ycombinator.com/launches/QUp-biostack-platforms-realistic-healthcare-simulation-environments",
        "votes": 9,
        "created_at": "2026-05-25T15:06:11.941Z"
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    "id": 31487,
    "name": "AquaShield",
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    "website": "https://aquashieldai.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "AquaShield protects large real estate portfolios against water damage (losses of up to hundreds of millions per year). ",
    "one_liner": "AI water leak detection for buildings",
    "team_size": 3,
    "industry": "Real Estate and Construction",
    "subindustry": "Real Estate and Construction",
    "launched_at": 1778992825,
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    "isHiring": true,
    "nonprofit": false,
    "batch": "Spring 2026",
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    "industries": [
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    "regions": [
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    "stage": "Early",
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    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/aquashieldai",
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      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
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        "user_id": 3419684,
        "full_name": "Paul Beckers",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder & CEO @ AquaShield | Prev. Robotics Researcher @ MIT",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/pbeckers1",
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        "user_id": 3173760,
        "full_name": "Marguerite Benoist",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder & CTO @ AquaShield | Prev Robotics Researcher @ Harvard",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/marguerite-benoist",
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        "id": 106340,
        "title": "Founding Full-Stack Hardware Engineer",
        "url": "https://www.ycombinator.com/companies/aquashield/jobs/XUcIcbB-founding-full-stack-hardware-engineer",
        "location": "Zürich, ZH, CH / Zürich, Zurich, CH",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Hardware",
        "salary_range": "$100K - $160K",
        "equity_range": "1.00% - 5.00%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
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        "id": 101628,
        "title": "AquaShield - AI protection against water damage in buildings",
        "tagline": "Protect every building in your portfolio at a fraction of one major claim",
        "body": "**Y Combinator Launch**\n\nWe’re Marguerite and Paul, we left robotics research at MIT and Harvard to build AquaShield. AquaShield is a water damage prevention system built for large real estate portfolios.\n\nWe started building this solution on MIT campus, with the facilities team and are now working with one of the largest residential portfolios in the world. \n\n**The Problem** \n\nWater damage is the biggest preventable loss in real estate, more than fire and theft combined.\n\nReal estate portfolios lose up to hundreds of millions in water damage each year. They rely on reactive maintenance. Most water leaks are only discovered by tenant complaints, visual signs or water-bill spikes. \n\nPipes are hard to monitor because they are mostly inaccessible, buried in drywall and concrete.\n\n**The Solution**\n\nWe solve that problem with non-invasive sensors, strategically placed, and ML algorithms that can find the leak in noisy water consumption patterns and localize the source, down to the pipe segment. $100k+ remediation jobs turn into sub-$2k targeted fixes.\n\n**The result:** ​​portfolio-wide protection. Each building is protected for a fraction of the cost of a single major claim.\n\n**Our Ask**\n\nIf you own or operate a real estate portfolio, we'd love to show you what this looks like in your buildings. Book a demo: [aquashieldai.com](http://aquashieldai.com)\n\n<https://www.youtube.com/watch?v=GOJV9D0fabQ>",
        "url": "https://www.ycombinator.com/launches/QRA-aquashield-ai-protection-against-water-damage-in-buildings",
        "votes": 323,
        "created_at": "2026-05-20T23:57:22.159Z"
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    "id": 31489,
    "name": "Eden Robotics",
    "slug": "eden-robotics",
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    "website": "https://www.edenrobotics.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We're building robots that just work and use them to deliver autonomous services at scale. Our first use case is semi-humanoid robots for manufacturing and logistics. Unlike traditional robotics companies, we don't sell robots, we provide physical agents for hire where companies pay for the robots based on usage, decreasing the barrier to entry and expanding the robotics market as a whole.",
    "one_liner": "Autonomous services for humanity.",
    "team_size": 4,
    "industry": "Industrials",
    "subindustry": "Industrials -> Manufacturing and Robotics",
    "launched_at": 1775447037,
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      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
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      {
        "user_id": 1956825,
        "full_name": "Stamatios Floratos",
        "title": "Founder/CEO",
        "founder_bio": "Founder of Eden. We are making robots that just work and using them to provide autonomous services at scale. I also bootstrapped a 7-figure B2B Adtech company at 13, working with influencers before it was cool.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/stamatis-floratos-535b19244",
        "x_url": "https://x.com/StamatisTWIY",
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      },
      {
        "user_id": 2772947,
        "full_name": "Joseph Humphreys",
        "title": "Founder/CTO",
        "founder_bio": "PhD in robotics, published in Nature, worked on almost all robot morphologies, used to build on rocket engines.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/joseph-humphreys-1163b8150",
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    "jobs": [
      {
        "id": 91495,
        "title": "Founding Communications Engineer",
        "url": "https://www.ycombinator.com/companies/eden-robotics/jobs/o06KKgL-founding-communications-engineer",
        "location": "San Francisco, CA, US / London, England, GB",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Robotics",
        "salary_range": "$65K - $120K",
        "equity_range": "0.25% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
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        "id": 102020,
        "title": "Eden - Autonomous Services for Humanity",
        "tagline": "Autonomous robot employees.",
        "body": "We’re [Stamatios Floratos](https://www.linkedin.com/in/stamatis-floratos-535b19244) and [Joseph Humphreys](https://www.linkedin.com/in/joseph-humphreys-1163b8150) and we’d love to introduce you to [Eden](https://www.edenrobotics.ai/).\n\n**TL;DR**\n\nMajor labor shortages and the high cost of traditional automation make manufacturers and logistics companies hard and costly to operate efficiently. We provide plug-and-play robots as a service, working out of the box with no complex integration and charging based on hourly usage instead of large upfront setup costs.\n\n<https://www.youtube.com/watch?v=hjkTYmDQqtQ>\n\n**Problem**\n\nThe world is facing a massive shortage of manual labour. It is hard to recruit and retain workers for factories and warehouses and even harder to scale. Traditional automation requires floor plan reworks, onsite engineers, high setup costs and takes 6-12 months to fully deploy. Most companies simply cannot stop their operations for this long and incur such high costs to implement automation and so are stuck in a perpetual vicious cycle of hiring short-term and scarce human labour.\n\n**Solution**\n\nWe are building robots that can be deployed instantly and work out of the box without any interruption in operations. They are semi-humanoid, which means they can fill positions designed for humans and can reliably perform any task which would take you less than 5-mins to explain to a new worker.\n\n<https://www.youtube.com/watch?v=oKlgnHUq0jo>\n\n**How we got here**\n\nWe care deeply about creating delightful customer experiences, and currently the robotics industry is anything but delightful. We think robotics have the power to transform the world and yet they consistently fall short of that promise due to an overemphasis on research and general capability over the customer. We decided to take a different approach and start by building the critical infrastructure that supports real world deployments, with real customers and work insanely hard to make robots ubiquitous and seamlessly woven into daily life.\n\n**The Ask**\n\nWe’re looking to speak to founders who’re building software or digital agents for factories, 3PL and warehouses to learn more about what they care about and look into potential integrations with our robot workers.\n\nReach out to us either on Bookface or through [founders@edenrobotics.ai](mailto:founders@edenrobotics.ai)\n\n![uploaded image](/media/?type=post&id=102020&key=user_uploads/1956825/84f4e974-9e78-47f9-9808-485cc7778005)\n\n",
        "url": "https://www.ycombinator.com/launches/QXU-eden-autonomous-services-for-humanity",
        "votes": 12,
        "created_at": "2026-05-27T14:20:14.932Z"
      }
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    "id": 31493,
    "name": "Plena Health",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Plena is the AI operating system for specialty medical practices. We automate the administrative workflows that keep clinics running — referrals, fax intake, scheduling, procedure compliance, and collections — end to end, across all the systems a practice already uses. Unlike point solutions that cover a slice of the problem, Plena becomes the operating layer across the entire practice, connecting the systems, teams, and workflows that keep it running. In 10 months we've grown 17x and crossed seven figures in committed ARR across six specialties and eight states, with 80% of growth through word of mouth.",
    "one_liner": "Plena is the AI operating system for specialty medical practices",
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    "industry": "Healthcare",
    "subindustry": "Healthcare -> Healthcare Services",
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    "country": "US",
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      "name": "Andrew Miklas",
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        "full_name": "Eyad Abdalla",
        "title": "Founder",
        "founder_bio": "Doctor's son, engineer by trade — Waterloo, then Datadog and Shopify. 3 years in specialty clinics convinced him they don't need more software. They need someone to do the work. Plena does it.",
        "is_active": true,
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        "full_name": "Ahmed Al Mudarris",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder & CTO of Plena. Started his career at a nuclear engineering startup, then built tier-zero infrastructure at AWS — the systems that can't go down. Doctor's son who took the MCAT before deciding to build for medicine, not practice it. Built Plena's platform end-to-end.",
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        "url": "https://www.ycombinator.com/companies/plena-health/jobs/p7NBfth-founding-account-executive",
        "location": "US / Remote (US)",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$225K - $325K",
        "equity_range": "0.20% - 0.50%",
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      {
        "id": 102388,
        "title": "Plena Health: The AI operating system for specialty medical practices",
        "tagline": "The full stack AI operating system for specialty medical practices",
        "body": "**TL;DR**\n\nPlena is the full stack AI operating system for specialty medical practices. We automate the administrative work that keeps clinics running — referrals, fax intake, scheduling, procedure compliance, records, and collections. Everything that isn't the medicine.\n\n**In 8 months, we've grown 17x and crossed seven figures in contracted ARR.**\n\nSo far we cover six specialties across eight states, all on annual or multi-year contracts, with 80% of our growth through word-of-mouth.\n\n<https://youtu.be/xWw9kNYckHQ>\n\n**The Problem**\n\nMy mom is a doctor. Plena's office sits inside her clinic — she was our first user. I grew up watching her run a practice, and the pattern was the same in every clinic I later embedded in: a doctor's day eaten by everything that isn't medicine.\n\nIndependent specialty practices are squeezed. Staffing costs rising, reimbursements tightening, payers using automation to deny and downcode claims.\n\nMeanwhile, practices run critical workflows across EHRs, clearinghouses, portals, fax, spreadsheets, phones, and email. A single referral: read the fax, match the patient, extract clinical details, check insurance, update the EHR, attach documents, route tasks, chase missing info. That's one workflow. Practices run dozens daily.\n\nMost software adds another portal, another login, another vendor. Point solutions cover a slice. Staff stitch the rest together.\n\n\\\n**Why Point Solutions Can't Get You to Labor Replacement**\n\nThe real goal isn't automating one workflow. It's labor replacement — and you can't get there one feature at a time.\n\nNo single piece of software works for all specialty practices. Cardiology, GI, urology, ortho are too different from each other. Even two clinics in the same specialty are too different. Off-the-shelf can't cover the surface area.\n\nSo we took a Palantir-like approach: a base platform of reusable building blocks — workflow primitives, EMR integrations, agent harnesses — that lets us assemble exactly what each practice needs. Deep discovery, build to spec, stand it up in a day or two. Every engagement feeds the platform, so the next build is faster. That's the flywheel.\n\nAI is what makes this newly possible — final-mile customization at speed is exactly what AI is good at. And it's why we're an easy yes: no rip-and-replace, no retraining. We slot into what practices already run and take more off their plate over time.\n\n**How Plena Works**\\\nPlena automates workflows end-to-end across the systems a practice already uses — EHRs, fax, phones, clearinghouses, payer portals, patient communication. We don't replace those systems. We don't ask staff to learn a new one.\n\nSome competitors force practices to migrate into a walled garden — abandon the EMR, retrain the team, rebuild data flows. That's why their sales cycles are slow. We do the opposite: we live inside what's already there, and quietly take over the rote work end-to-end.\n\nCustomers start with one painful workflow — referrals, collections, scheduling — then expand as they see it work.\n\n\\\n**Where This Goes**\n\nWe start as an automation layer on top of what practices already have. Over time we cannibalize the rote work and the other vendors a practice is stitched together from — until the EHR is just a database we read and write to. From there, even the EHR becomes a turnkey switch instead of the migration nightmare it is today.\n\nThat's the system specialty practices end up running on.\n\n\\\n**Our Story**\n\nEyad and Ahmed were both raised in medicine — Eyad's mom and Ahmed's dad are doctors. The combination — engineers who grew up watching practices run — is why we kept seeing the operational problem when other founders saw something else.\n\nEyad is a Waterloo engineering grad — Datadog and Shopify before Plena, 3 years embedded in clinics. Ahmed built tier-zero infrastructure at AWS, with a background in nuclear systems before that. Specialty practices didn't need another lightweight tool — they needed infrastructure.\n\n\\\n**Our Ask**\n\nIntros to independent specialty practices, administrators, and physician owners — especially orthopedics, GI, dermatology, ophthalmology, ENT, urology, and multi-location groups. Best fit: high admin volume and disconnected systems.\n\n[eyad@plena.health](mailto:eyad@plena.health)\n\nEyad and Ahmed",
        "url": "https://www.ycombinator.com/launches/QdQ-plena-health-the-ai-operating-system-for-specialty-medical-practices",
        "votes": 53,
        "created_at": "2026-06-01T19:17:08.692Z"
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    "id": 31497,
    "name": "Amboras",
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    "former_names": [
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    "website": "https://amboras.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Amboras puts your entire e-commerce on autopilot. It builds your store, continuously optimizes it, reads your analytics, and learns what converts - all autonomously. No developers. No agencies. No guessing. Today it sells to humans. Tomorrow it sells to AI agents.\r\n",
    "one_liner": "AI Native Shopify",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1774323217,
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    "regions": [
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    "year_founded": 2025,
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    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/109776165/admin/dashboard/",
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        "full_name": "Imad Mokadem",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder at Amboras | Ex-6-figure MRR ecom founder | ETH Mechanical Engineer\n",
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        "full_name": "Amin Mokadem",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder at Amboras | CS @ ETH Zurich | Former 6-figure monthly revenue ecommerce founder",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/amin-mokadem-003bb3393/",
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    "jobs": [
      {
        "id": 109283,
        "title": "Founding AI Engineer",
        "url": "https://www.ycombinator.com/companies/amboras/jobs/t5Yd39L-founding-ai-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$200K - $400K",
        "equity_range": "0.20% - 0.80%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
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      {
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        "title": "Founding Product Engineer",
        "url": "https://www.ycombinator.com/companies/amboras/jobs/p5qYN1q-founding-product-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $350K",
        "equity_range": "0.20% - 0.60%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 109287,
        "title": "Full-Stack Engineer",
        "url": "https://www.ycombinator.com/companies/amboras/jobs/9VILyyv-full-stack-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $350K",
        "equity_range": "0.20% - 0.60%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 109445,
        "title": "Commerce Systems Engineer",
        "url": "https://www.ycombinator.com/companies/amboras/jobs/Iob2XBZ-commerce-systems-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $350K",
        "equity_range": "0.20% - 0.60%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 109447,
        "title": "AI Engineer",
        "url": "https://www.ycombinator.com/companies/amboras/jobs/8aAlnji-ai-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$150K - $350K",
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        "experience": "1+ years",
        "visa": "US citizen/visa only",
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        "id": 109448,
        "title": "Product Engineer",
        "url": "https://www.ycombinator.com/companies/amboras/jobs/J1kez3g-product-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $300K",
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        "experience": "1+ years",
        "visa": "US citizen/visa only",
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        "id": 109449,
        "title": "Product Manager",
        "url": "https://www.ycombinator.com/companies/amboras/jobs/uIFgRtA-product-manager",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $350K",
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        "experience": "1+ years",
        "visa": "US citizen/visa only",
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      {
        "id": 101666,
        "title": "Amboras: Your self improving online store",
        "tagline": "Amboras puts the entire e-commerce stack on autopilot and runs your store end to end.",
        "body": "**Hey everyone 👋**\n\nWe're Amin and Imad, cofounders of Amboras.\n\n**TL;DR** Amboras is an AI native platform that puts the entire e-commerce stack on autopilot. Bring an existing store or start from scratch. It learns how your customers buy and autonomously ships the changes that make your store sell better.\n\nMerchants get into e-commerce to build a business. Instead they're stitching together a dozen apps, paying a CRO agency on retainer, and burning weeks with developers and analytics tools just to figure out what their customers actually want. Most stores plateau at a 2% conversion rate. What about the other 98%?\n\nAmboras is making margins possible that weren't possible pre AI.\n\n**Our Launch Video:** <https://www.youtube.com/watch?v=xr0VEaJPJow>\n\nAsk: Do you run an ecommerce store, or know someone who does? I'd love to speak to them directly: <https://cal.com/imad-mokadem/amboras-team>\n\n**Problem ❌**\n\nEcommerce is a $30T+ global industry, still running on tooling that predates AI. Every layer of the stack is static and manual, so nothing a merchant learns ever compounds into a better store.\n\nIt comes down to four things:\n\n1. **Static offers &amp; storefronts.** Stores should learn from every interaction and adapt to every ICP. Today they don't.\n2. **Slow A/B testing.** Finding a winning storefront and offer means designers, CRO experts, developers, and weeks of waiting, just for a single test.\n3. **No agentic layer.** No platform is built for the coming age of agentic purchasing.\n4. **The plugin and agency tax.** A dozen apps charging you monthly, a CRO agency taking a retainer, and on top of that a cut of every conversion uplift they ship.\n\nWe built and grew our own educational board game brand to $200K/month, and watched our margins get eaten by exactly this overhead.\n\n**Solution ✅**\n\nAmboras is an AI native commerce platform. You run your store by talking to AI, and it runs itself on autopilot, getting better every day, hands free.\n\n**Part 1: Build or rebuild your store**\n\nNo dashboards, no apps, no code. You tell Amboras what you want and it does it: generating or rebuilding your storefront, adding products, creating images and copy, testing offers, launching price changes. Building the store is simply the first thing you ask it to do. In the demo below, every action is done by AI. (If you already have a store, we can A/B test Amboras with your current setup, without any risk)\n\n![uploaded image](/media/?type=post&id=101666&key=user_uploads/1449044/2414f82e-a13e-428c-b752-a3346d7bbd42)\n\n**Part 2: Optimize from the first visitor**\n\nEvery session feeds Amboras a richer picture of your customers, and the agent translates that picture into a constantly expanding test queue as your store scales. It autonomously ships offer tweaks, layout changes, and copy variants that compound your CVR, retention, and AOV, while learning about your ICP deeper with every visitor, all working toward the real goal of maximizing lifetime value per visitor. While you focus all your efforts on driving traffic to your page, your store keeps improving on its own, getting sharper the more it sees. Our A/B testing engine is in beta, and early merchants are already seeing over 80% CVR lift on the first version Amboras puts live.\n\n![uploaded image](/media/?type=post&id=101666&key=user_uploads/1449044/ff7ab1d1-bd51-40ed-8c4f-28b23510a05f)\n\n**Ask 💬**\n\nIf you are, or you know, any of the following, We'd love to hear from you:\n\nEstablished store owners People that already have a store and are tired of paying a dozen apps and expensive CRO agencies just to move the needle slightly.\n\nYou can reach out to us at: <https://cal.com/imad-mokadem/amboras-team> or [Imad@amboras.com](mailto:Imad@amboras.com)\n\n**Team**\n\nWe're brothers. Imad studied Mechanical Engineering at ETH Zurich, Amin studied Computer Science at ETH Zurich. We scaled our own educational board game brand to $200K/month, and lived every problem Amboras now solves. Our first attempt to fix it was EcomCoder, a Shopify dev tool we grew to over 1,000 users, until we realized fixing one piece wasn't enough and the whole stack had to be rebuilt. That's Amboras.",
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        "votes": 160,
        "created_at": "2026-05-20T19:03:28.388Z"
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    "name": "OpenWork",
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    "website": "https://openworklabs.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "OpenWork is a desktop app that lets people connect to their existing skills, MCPs, and agents. Users can download the app for free, try it with over 50+ model providers, and easily share their setup with their team.",
    "one_liner": "The open source alternative to Claude Cowork",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1774277464,
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/openwork",
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    "city": "San Francisco",
    "country": "US",
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        "full_name": "Ben Shafii",
        "title": "Founder/CEO",
        "founder_bio": "Currently working on OpenWork, the open source alternative to Claude Cowork.",
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        "linkedin_url": "https://www.linkedin.com/in/ben-shafii-450039107/",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b2115f3bbe6a2e9695e1eab48ddf72780f909072.jpg"
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    "jobs": [
      {
        "id": 94307,
        "title": "Design Engineer - SF",
        "url": "https://www.ycombinator.com/companies/openwork/jobs/DCF4njj-design-engineer-sf",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Frontend",
        "salary_range": "$130K - $200K",
        "equity_range": "1.00% - 5.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Node.js",
          "React",
          "Next.js"
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      },
      {
        "id": 97166,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/openwork/jobs/TqV9SSB-founding-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $200K",
        "equity_range": "3.00% - 5.00%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": [
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          "React",
          "TypeScript",
          "AI Agents"
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    "launches": [
      {
        "id": 100181,
        "title": "OpenWork - The open source alternative to Claude Cowork",
        "tagline": "An enterprise-ready alternative to Claude Cowork",
        "body": "Hi! This is Ben from OpenWork.\n\nWe're building an **open source, enterprise-ready alternative to Claude Cowork** that companies can deploy internally — with **their own LLMs, their own infrastructure, and their own compliance posture**.\n\nWe launched 3 months ago, and already have 14k GitHub stars and 150k+ downloads.\n\nOpenWork is:\n\n\\- **Desktop** that you can provide to your non-technical employees.\n\n![uploaded image](/media/?type=post&id=100181&key=user_uploads/571092/b4e8acf0-097b-4320-88f2-aca59afd8b42)\n\n\\- **Cloud** that lets you administer which skills, plugins, mcps your users have access to.\n\n![uploaded image](/media/?type=post&id=100181&key=user_uploads/571092/ed1de3e2-31bf-4a27-b1b8-7326cf2aef92)\n\nSome advantages over Claude Cowork:\n\n\\- **Deploy it where you want.** Use our cloud, or self-host on-premise, in your cloud, or hybrid. Companies with stricter requirements keep everything inside their trust perimeter.\n\n\\- **Model-independent, cost-controlled.** Bring your own: self-hosted, Bedrock, Azure, Vertex, or any of 50+ providers. Route per task so you only pay frontier prices when it actually matters.  \n\n\\- **Reuses what you have.** Internal MCPs, runbooks, scripts, and docs become agent capabilitie    \n\n\\- **Shared across the team.** Technical and non-technical teammates use the same agents from the UI, Slack, or Telegram.\n\nOpen source. No lock-in on infra or models.\n\nWays to get started:\n\n1\\. Try the desktop app - no sign-in required\n\n2\\. Sign in to our cloud\n\nor:\n\nbook a demo:\n\n<https://cal.com/team/openwork/enterprise>\n\n    ",
        "url": "https://www.ycombinator.com/launches/Q3p-openwork-the-open-source-alternative-to-claude-cowork",
        "votes": 33,
        "created_at": "2026-04-23T23:20:48.418Z"
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    "id": 31513,
    "name": "CharacterQuilt",
    "slug": "characterquilt",
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    "website": "https://characterquilt.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "CharacterQuilt builds computer use agents to deploy enterprise marketing campaigns. \r\n\r\nMarketers today don’t actually do much marketing at all.\r\n\r\nToday, over 80% of time spent on launching a marketing campaign is actually ops work: tweaking automation flows in Pardot, configuring audiences in LinkedIn, or wiring HTML emails in Marketo. \r\n\r\nWhat’s crazy about enterprise marketing is companies pay agencies millions of dollars just to deploy campaigns in their systems — and they still have to wait weeks for each one.\r\n\r\nCharacterQuilt is AI infrastructure for marketing teams: a brain that learns your brand, and agents that operate your existing tools. Marketing campaigns that used to take 3 agencies, 10 tools, and 6 weeks are now being built, designed, and deployed from CQ in an hour.\r\n\r\nCustomers submit a brief like they would send to a human teammate or marketing agency, and they get back fully designed and deployed campaigns.\r\n\r\nTeams like 1upHealth, ABC Fitness, and Emplifi use us to:\r\n\r\n1-) Build segments/audiences faster\r\n2-) Create on-brand creative (AI is terrible at staying on-brand)\r\n3-) Deploy campaigns automatically into HubSpot, WordPress, LinkedIn etc. \r\n\r\nWe replicate your brand guidelines, deeply understand past campaigns, and work inside your systems.\r\n\r\nIf you run demand gen or lifecycle at a B2B/B2C company and want to ship campaigns faster, send us a brief and we’ll build it in 15 minutes.\r\n",
    "one_liner": "Computer use agents to deploy enterprise marketing campaigns",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Marketing",
    "launched_at": 1778455015,
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    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
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    "regions": [
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      "America / Canada",
      "Remote",
      "Partly Remote"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/characterquilt",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/characterquilt.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/characterquilt",
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    "primary_partner": {
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      "url": "https://www.ycombinator.com/people/pete-koomen"
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    "founders": [
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        "user_id": 438433,
        "full_name": "Bhairav Mehta",
        "title": "Founder/CEO",
        "founder_bio": "CEO and co-founder at CharacterQuilt: Computer-use agents to deploy enterprise marketing campaigns\n\n2x YC Founder, MIT, Mila, NVIDIA",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/bhairav-mehta",
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        "full_name": "Clint Burgess",
        "title": "Founder/CMO",
        "founder_bio": "Co-founder at CharacterQuilt: computer-use agents to deploy enterprise marketing campaigns\n\nHave done all the GTM jobs from SDR->Sales->Marketing. Spent 10 years at Bloomreach running GTM. Now run sales and marketing for CharacterQuilt. ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/clintburgess",
        "x_url": "https://x.com/ClintVanBurgess",
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    "jobs": [
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        "title": "Senior Software Engineer, Agent Infrastructure and Reliability",
        "url": "https://www.ycombinator.com/companies/characterquilt/jobs/yCogh5G-senior-software-engineer-agent-infrastructure-and-reliability",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$175K - $200K",
        "equity_range": "0.50% - 2.00%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
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      },
      {
        "id": 100471,
        "title": "Staff Software Engineer, Agent Systems and Product Quality",
        "url": "https://www.ycombinator.com/companies/characterquilt/jobs/vQ6nRar-staff-software-engineer-agent-systems-and-product-quality",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$250K - $350K",
        "equity_range": "0.50% - 3.00%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
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      },
      {
        "id": 100472,
        "title": "Go-to-Market Engineer",
        "url": "https://www.ycombinator.com/companies/characterquilt/jobs/NkPK05W-go-to-market-engineer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $200K",
        "equity_range": "0.20% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
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    "news": [],
    "launches": [
      {
        "id": 101163,
        "title": "CharacterQuilt: AI infrastructure for marketers",
        "tagline": "Ship campaigns across your marketing stack in an hour",
        "body": "Marketers today don’t actually do much marketing at all.\n\nOver 80% of time spent on launching a marketing campaign is actually ops work: tweaking automation flows in Pardot, configuring audiences in LinkedIn, or wiring HTML emails in Marketo. \n\nCharacterQuilt is AI infrastructure for marketing teams: a brain that learns your brand, and agents that operate your existing tools. Marketing campaigns that used to take 3 agencies, 10 tools, and 6 weeks are now being built, designed, and deployed from CQ in an hour.\n\nCustomers submit a brief like they would send to a human teammate or marketing agency, and they get back fully designed and deployed campaigns.\n\nTeams like 1upHealth, ABC Fitness, and Emplifi use us to:\n\n* Build segments/audiences from messy CRM data faster\n* Create on-brand creative (AI is terrible at staying on-brand)\n* Deploy campaigns automatically into HubSpot, WordPress, LinkedIn etc.\n\nIn other words, CharacterQuilt is for marketers who want to get stuff 100% done, “done done”, not stuck on creative assets or clicking all the buttons in Hubspot. ⬇️\n\n <https://youtu.be/45S39Z-qjtQ>\n\nBhairav did AI research at NASA, NVIDIA, and MIT. I ran growth at Bloomreach for a decade. We built CharacterQuilt by running a full stack marketing agency first, then building agents to do the work faster.\n\nCustomers work with us by submitting a brief like they would send to a human teammate or marketing agency, and they get back fully designed and deployed campaigns. \n\nIf you run demand gen or lifecycle at a B2B/B2C company and want to ship campaigns faster, send us a brief and we’ll build it in 15 minutes.\n\n![uploaded image](/media/?type=post&id=101163&key=user_uploads/438433/f6aa2dda-4a07-4b4c-8a13-f229fc3040a4)\n\n",
        "url": "https://www.ycombinator.com/launches/QJf-characterquilt-ai-infrastructure-for-marketers",
        "votes": 10,
        "created_at": "2026-05-11T04:43:24.984Z"
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    "id": 31518,
    "name": "Runtime",
    "slug": "runtime",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0fb7d11f60217eaded2ae0e96dbee3bf9ebcd68c.png",
    "website": "https://www.runtm.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Runtime helps fast-growing fintechs build and run AI agents for mission-critical payment and risk operations. Teams turn their procedures into specialized agents that work across their systems, with scoped access, human approvals, and a full audit trail.",
    "one_liner": "The AI agent harness for payment teams",
    "team_size": 7,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1773951001,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
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      "Engineering, Product and Design"
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/runtime",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/runtime.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/runtm/",
    "x_url": "https://x.com/gustrigos",
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    "primary_partner": {
      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
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    "founders": [
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        "user_id": 362619,
        "full_name": "Gus Trigos",
        "title": "Founder/CEO",
        "founder_bio": "Gus Trigos is CEO and co-founder of Runtime, the agent harness for payment and risk teams. Runtime powers some of the fastest-growing fintechs in the world like Rain and Finix. He's a two-time YC founder, previously co-founding Mentum (acquired by Nuvocargo), and started his career as a quant at BlackRock's AI Quantitative Investment Group.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/gustavoatrigos",
        "x_url": "https://x.com/gustrigos",
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      },
      {
        "user_id": 952396,
        "full_name": "Carlos Volante",
        "title": "Founder",
        "founder_bio": "Carlos is the co-founder and CTO of Runtime, with a track record of scaling high-volume financial infrastructure at Modern Treasury, Finix, and Hulu. His experience spans billions in transaction volume, near-perfect uptime, and billing systems for tens of millions of users.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/carlos-volante-49bb86145",
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        "id": 114062,
        "title": "Forward Deployed AI Engineer",
        "url": "https://www.ycombinator.com/companies/runtime/jobs/exm704T-forward-deployed-ai-engineer",
        "location": "San Francisco, CA, US / Remote",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "AI engineer",
        "salary_range": "$100K - $200K",
        "equity_range": "0.25% - 1.00%",
        "experience": "1+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 114063,
        "title": "Founding AI Ops",
        "url": "https://www.ycombinator.com/companies/runtime/jobs/pNjYg79-founding-ai-ops",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$120K - $165K",
        "equity_range": "0.25% - 0.75%",
        "experience": "3+ years",
        "visa": "Will sponsor",
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    "launches": [
      {
        "id": 99699,
        "title": "Runtime - Let your whole team ship safely with coding agents",
        "tagline": "Guardrails and observability for all your coding agents.",
        "body": "**Runtime ([runtm.com](http://runtm.com)) lets your whole team ship safely with any coding agent.** It gives your team the guardrails, sandboxes, context, and visibility to go from idea to PR or deployment, with any model, on any infra.\\\n\\\nOur coding agents set your repo environments automatically:\n\n![uploaded image](/media/?type=post&id=99699&key=user_uploads/362619/2951e500-e6ea-4b0a-99de-287fe024a749)\n\nYou can use Runtime through our web interface:\n\n![uploaded image](/media/?type=post&id=99699&key=user_uploads/362619/a7b5c7bd-7ed7-45fa-9684-cacae9d396fd)\n\nOr anyone on your team can trigger it from Slack, Linear, and many other connectors:\n\n![uploaded image](/media/?type=post&id=99699&key=user_uploads/362619/86c3a4fe-5b77-470b-982b-3a01405a7836)\n\nLaunch video:\\\n<https://www.youtube.com/watch?v=m3H8yUbdIHY>\n\n**The problem**\n\nAfter my last company was acquired, I led our coding agents rollout and personally shipped 4+ full-stack products in the first 3 months. I then started enabling the rest of the team to do the same. But we hit a lot of friction fast: we needed to create working environments, we didn’t have any control or context to ensure agents contributed correctly, and nobody had visibility of what was being shipped. And because we'd gone deep on one provider's tooling, when their reliability dipped, the whole team slowed down.\n\nEveryone rolling out coding agents across their team hits the same walls:\n\n* **No environment setup:** No easy way to give engineering and product teams production-like environments where agents can safely run.\n* **No guardrails:** No access controls, system instructions, or secrets management for agents.\n* **No visibility:** No way to see what agents are doing, what they're changing, or where things break.\n* **Vendor lock-in:** Go all-in on one model provider's agent infra and your whole team is exposed when reliability, pricing, or model quality shifts.\n\nWithout these, you end up either moving slower than your competition or causing major downtimes on your product.\n\n**What we built**\n\nRuntime sits between your team and the coding agents they use. It works with Claude Code, Codex, OpenCode, Gemini, Copilot, and others, and can be called programmatically or used through Slack, Linear, Jira, Asana, Teams, CLI, and more.\n\n\\\nHere's what that looks like in practice:\n\n* **Environment templates:** Import any repo and set up a replica of your environments once. Our agents handle the setup for you, even for monorepos and microservices.\n* **Sandboxed environments:** Anyone on the team can spin up a sandbox in milliseconds with a live preview of your product, make changes with their preferred coding agent, and open a PR.\n* **Configurable guardrails:** System instructions, skills, allowlists, encrypted secrets, and role-based access control for both humans and agents.\n* **Observability:** See exactly what every human and agent is doing across every interaction, down to the tool call and chain of thought.\n* **One-click deploys / PRs:** Anyone can deploy from their sandbox. Coding agents auto-fix build errors and verify the deployment is healthy before it goes live. You control what gets deployed and can roll back or destroy deployments at any time.\n\nRuntime can be fully self-hosted.\\\n\\\nCheck our product demo:\n\n<https://youtu.be/Gqdzfo7a8IM>\\\n\\\n**Asks**\n\n**Use Runtime at your company.** Sign up at [app.runtm.com](http://app.runtm.com). If you're a CTO, head of platform, or eng / product leader rolling out coding agents, our team will personally set up your environments and help you set up best practices to your team is shipping within the first days.\n\n**Book a demo** at <https://cal.com/gustavo-trigos-q80bop/runtime-demo-meeting>\n\n**Upvote this** and connect with me to follow the journey:\n\n* <https://www.linkedin.com/in/gustavoatrigos/>\n* <https://x.com/gustrigos>",
        "url": "https://www.ycombinator.com/launches/Pw3-runtime-let-your-whole-team-ship-safely-with-coding-agents",
        "votes": 29,
        "created_at": "2026-04-13T22:39:14.227Z"
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    "id": 31524,
    "name": "AgentPhone",
    "slug": "agentphone",
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    "website": "https://agentphone.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "The $2T global telecom industry was built for humans. Agents can't act in the real world today because without a phone number, they lack identity. AgentPhone gives every AI agent its own phone number to reach people and businesses through messages and calls.",
    "one_liner": "Phone Numbers for AI Agents",
    "team_size": null,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1778010009,
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    "status": "Active",
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/agentphone",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/agentphone.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/agentphone/",
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      "name": "David Lieb",
      "url": "https://www.ycombinator.com/people/david-lieb"
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        "user_id": 541937,
        "full_name": "Manav Modi",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder at AgentPhone. Helped drive the Vogue app revamp and grew usage from ~100k to over 1M users. BS Computer Engineering from UIUC.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/manav2modi/",
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      {
        "user_id": 1068571,
        "full_name": "Meet Modi",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder at AgentPhone. Previously built AI Agent infrastructure on WhatsApp for 280+ million businesses at Meta. Bachelor's in Computer Science & Linguistics from UCLA.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/meetmodi-/",
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        "id": 98603,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/agentphone/jobs/Cnv7LNt-founding-engineer",
        "location": "New York, NY, US / San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$140K - $250K",
        "equity_range": "0.25% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": [
          "Python",
          "TypeScript"
        ]
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 101384,
        "title": "AgentPhone - Phone Numbers for AI Agents",
        "tagline": "Give AI agents their own phone numbers and identity to call and message across every channel.",
        "body": "AI agents are becoming incredibly capable online, but the moment you need one to make a phone call or send a text, everything falls apart. You end up stitching together telecom providers, voice infrastructure, compliance, routing, and your own memory layer. Giving an agent a phone number should be simple. It wasn't.\n\nSo we built [AgentPhone](http://agentphone.ai/): the telephony infrastructure layer for AI agents.\\\n\\\n<https://youtu.be/Gsj_BaaCDD4>\n\n### **TL;DR:**\n\n* One API to give any AI agent its own phone number\n* iMessage, WhatsApp, RCS, SMS, Calling, and more soon\n* A trusted identity so agents can reach people and businesses in the real world\n\n### **Who's Using It**\n\nTeams at Google's Agent Development Kit, Replit, Y Combinator, Sim AI, LangChain, and Alchemy are already building with AgentPhone.\n\n### **The Problem**\n\nThe $2T global telecom industry was built for humans. AI agents today can browse the web, write code, and manage entire workflows. But they still can't pick up the phone. A lot of business still runs on calls and texts, channels that existed before the internet and email. If agents are going to do real work, they need to work on the channels people already use.\n\n### **How It Works**\n\nAgentPhone gives developers a single API to provision phone numbers for their agents with voice and messaging built in and no compliance headaches. Just plug in and your agent can talk and text to the world.\n\n### **Things already built on AgentPhone:**\n\n* An AI talent recruiter that messages and screens candidates\n* AI employees with their own phone numbers that handle workflows end to end\n* Our own company brain that Manav and Meet use internally to run AgentPhone\n\n### **About Us**\n\nWe're [Meet](https://www.linkedin.com/in/meetmodi-/) and [Manav](https://www.linkedin.com/in/manav2modi). We met 21 years ago when our mom gave birth to Meet. We've been building together ever since.\n\n![uploaded image](/media/?type=post&id=101384&key=user_uploads/1068571/4a9a9fe1-ca93-4dd0-8c56-c1aaf73b076c)\n\nMeet previously built AI agent infrastructure on WhatsApp serving 280+ million businesses at Meta. Manav helped drive the Vogue app revamp and grew it from \\~100K to over 1M users. We saw firsthand that the biggest gap in the agent stack isn't intelligence. It's connectivity.\n\n### **Our Ask**\n\nIf you're building agents that need voice and messaging, try AgentPhone and tell us what breaks. We'll provide free credits to anyone willing to test and share feedback.\n\nSign up at <https://www.agentphone.ai>",
        "url": "https://www.ycombinator.com/launches/QNE-agentphone-phone-numbers-for-ai-agents",
        "votes": 266,
        "created_at": "2026-05-15T13:42:30.250Z"
      }
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  },
  {
    "id": 31526,
    "name": "Uno Wallet",
    "slug": "uno-wallet",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c2393bf402ae2e425fc41cb7f78facb4b67fa9d5.png",
    "website": "https://myunowallet.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We are changing the way that people pay...\r\nFounded by:\r\nSaket Joshi: www.linkedin.com/in/saket-dattatray-joshi/\r\nMordi Shadpour: www.linkedin.com/in/mordi-shadpour/",
    "one_liner": "The AI mobile wallet that replaces Apple Pay",
    "team_size": 2,
    "industry": "Fintech",
    "subindustry": "Fintech -> Payments",
    "launched_at": 1779834493,
    "tags": [
      "Fintech",
      "Payments",
      "Consumer",
      "Infrastructure",
      "AI"
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
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      "Payments"
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    "regions": [
      "United States of America",
      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": [
      {
        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "The founders met at a Harvard startup mixer in 2023 and immediately bonded over fintech. They stayed in touch as friends and idea sparring partners, and later realized that advances in AI and new platform unlocks made Uno Wallet a massive opportunity to build together in the infrastructure and fintech space."
      }
    ],
    "url": "https://www.ycombinator.com/companies/uno-wallet",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/uno-wallet.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/uno-wallet",
    "x_url": "https://x.com/MyUnoWallet",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c2393bf402ae2e425fc41cb7f78facb4b67fa9d5.png",
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    "primary_partner": {
      "name": "Andrew Miklas",
      "url": "https://www.ycombinator.com/people/andrew-miklas"
    },
    "founders": [
      {
        "user_id": 1631278,
        "full_name": "Mordi Shadpour",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder & CEO of Uno Wallet | MBA @ Harvard\nBuilding the AI that automates your financial life, starting with the decision everyone gets wrong 50 times a month: which card to tap.\n\nBloomberg Terminal. California native, based in the Bay Area.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/mordi-shadpour",
        "x_url": "https://x.com/MordiShadpour",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/845444df2aded4c1492d125d61ff8d68a63131cd.jpg"
      }
    ],
    "jobs": [
      {
        "id": 103221,
        "title": "Founding Engineer - Product & Infrastructure",
        "url": "https://www.ycombinator.com/companies/uno-wallet/jobs/UsckBfY-founding-engineer-product-infrastructure",
        "location": "San Francisco, CA, US / Palo Alto, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $205K",
        "equity_range": "0.50% - 2.00%",
        "experience": "1+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 113112,
        "title": "Founding Head of Product",
        "url": "https://www.ycombinator.com/companies/uno-wallet/jobs/VzmlenM-founding-head-of-product",
        "location": "South San Francisco, CA, US / Palo Alto, CA, US",
        "type": "Full-time",
        "role": "Product",
        "role_type": null,
        "salary_range": "$125K - $200K",
        "equity_range": "0.50% - 2.50%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": []
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    "news": [],
    "launches": []
  },
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    "id": 31527,
    "name": "Revnu",
    "slug": "revnu",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/37b7a4d126859b0a7edce4eaee5984ecd6f85757.png",
    "website": "https://revnu.com",
    "all_locations": "Manchester, England, United Kingdom",
    "long_description": "Revnu does the growth work founders never get round to. Connect your tools and it researches buyers, prepares outreach, runs ads and publishes search content. It watches the results and uses what it learns across every channel. You approve the work that needs your judgment and hear what moved every morning. You build. We grow.",
    "one_liner": "Your AI growth hire.",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Marketing",
    "launched_at": 1776869663,
    "tags": [
      "B2B",
      "Advertising",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
      "B2B",
      "Marketing"
    ],
    "regions": [
      "United Kingdom",
      "Europe"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/revnu",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/revnu.json",
    "year_founded": 2026,
    "city": "Manchester",
    "country": "GB",
    "linkedin_url": "https://www.linkedin.com/company/revnu-app",
    "x_url": "https://x.com/revnu_app",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/revnu",
    "github_url": "https://github.com/revnu-app",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/37b7a4d126859b0a7edce4eaee5984ecd6f85757.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
    },
    "founders": [
      {
        "user_id": 1793674,
        "full_name": "George Jefferson",
        "title": "Founder/CEO",
        "founder_bio": "Building revnu.com\n\nSolving growth for startups. Bootstrapped x3 software businesses to £100K+ while at uni. Won the xAI London Hackathon. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/georgejeffers/",
        "x_url": "https://x.com/GeorgeJeffersn",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8b4304d67b6c18332be67e6b684e32dcc762efc3.jpg"
      },
      {
        "user_id": 2746882,
        "full_name": "art freebrey",
        "title": "Founder/CTO",
        "founder_bio": "CTO of Revnu (P26) your AI growth team. Bootstrapped x3 $150k+ businesses as a student. she/they",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/artfreebrey",
        "x_url": "https://x.com/artfreebrey",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7372644e4adafdfc389d071ee65a63b6972120f8.jpg"
      }
    ],
    "jobs": [
      {
        "id": 103535,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/revnu/jobs/VM4oyLB-founding-engineer",
        "location": "Manchester, England, GB",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "£80K - £120K GBP",
        "equity_range": "1.00% - 3.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
        "skills": [
          "React",
          "TypeScript",
          "Software Architecture",
          "AI Agents"
        ]
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 101688,
        "title": "Revnu - Your AI growth team. You build, we do everything else.",
        "tagline": "All the boring growth work you know you should do but never get round to. Done overnight.",
        "body": "Hey! We're [George](https://www.linkedin.com/in/georgejeffers/) and [Art](https://www.linkedin.com/in/artfreebrey/), co-founders of [Revnu](https://revnu.com/).\n\n**TL;DR**\n\n[Revnu](https://revnu.com/) is your AI growth hire. Connect your tools and our agents run every growth channel in parallel. Outbound, SEO, ads, short form content + more. You focus on building, we focus on growing.\n\n<https://youtu.be/cL_dwhuRvGM>\n\n**The problem**\n\nAI solved coding. Building software has never been easier and the cost is collapsing to 0.\n\nThe only moat left is distribution.\n\nFounders don’t want to worry about managing email outbound campaigns, ad budgets, blog articles. They’re busy shipping and talking to customers. \n\nThe options today are: hire a growth hire for $200k/yr or hack your own DIY tool stack together.\n\nUntil now! \n\n**Our solution**\n\nWhat Cursor did for coding, we're doing for growth.\n\n[Revnu](https://revnu.com/) runs every growth channel for you, in parallel, 24/7:\n\n* Cold outbound that finds you leads, drafts emails in your voice and books you calls\n* Runs thousands of ad creative variants on Meta, LinkedIn, Reddit, TikTok\n* Gets you ranking in Google and AI search\n* Creates short-form video content\n* Catches customers about to churn and wins them back\n\nNow founders can finally focus on getting back to building.\n\n**About us**\n\nWe're George and Art, both from the UK. We met in school when we were 14 years old and have been best friends ever since. We both dropped out of university the same day to join YC P26 and moved to San Francisco.\n\n* Before [Revnu](https://revnu.com/), we bootstrapped multiple businesses and kept on finding growth was the bottleneck.\n* That's why we decided to build [Revnu](http://revnu.com/). To automate the part of every founder's life they hate the most: the growth work.\n\n**Our ask**\n\nIf you're a technical founder and you hate doing growth (or you know someone who does), book a demo rn at [revnu.com](http://revnu.com).\n\nLove &amp; Guidance\n\n\\- George and Art\n\n![uploaded image](/media/?type=post&id=101688&key=user_uploads/1793674/ba606bb4-cad9-4957-ad1b-b64bf0249806)\n\n",
        "url": "https://www.ycombinator.com/launches/QS8-revnu-your-ai-growth-team-you-build-we-do-everything-else",
        "votes": 17,
        "created_at": "2026-05-21T01:51:58.616Z"
      }
    ]
  },
  {
    "id": 31528,
    "name": "Asendia AI",
    "slug": "asendia-ai",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e735fee67a48586d3de061beb544a8ab8d481fc6.png",
    "website": "https://asendia.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Asendia AI replaces the top-of-funnel recruiter. Our AI agents clone each agency's best human recruiter: their knowledge base, screening logic, outreach style, and judgment, then run the full workflow across phone, SMS, WhatsApp, and email, 24/7. A req comes in; by the time a recruiter sits down, Asendia has already sourced, screened, and drafted submittals. Staffing is a $200B+ industry where speed is the entire margin.",
    "one_liner": "AI recruiters for staffing agencies",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1773592389,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/asendia-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/asendia-ai.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/asendia-ai/",
    "x_url": "https://x.com/asendia_ai",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e735fee67a48586d3de061beb544a8ab8d481fc6.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
    },
    "founders": [
      {
        "user_id": 2066133,
        "full_name": "Rihab Lajmi",
        "title": "Founder/CEO",
        "founder_bio": "I am Co-Founder & CEO of Asendia AI. Previously I worked as a cloud engineer at companies like Microsoft and Google across Europe and the US. Now I am co-building Asendia AI, the smartest recruitment engine for staffing agencies and Enterprise. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/rihab-l-085182164/",
        "x_url": "https://x.com/LajmiRihab",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4dd27506220975f7cda6d35ab60931536d582b74.jpg"
      },
      {
        "user_id": 2096458,
        "full_name": "Badis Zormati",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder and CTO of Asendia AI. \nI hold a master's degree in Electrical Engineering and Computer Science from the Technical University of Munich. At Infineon Technologies, I built firmware for MEMS-based products and led the AI transformation of hardware solutions, including the first tiny machine learning models running on the edge for miniature microphones. I worked closely with Fortune 500 companies to drive AI-led transformations of their hardware products.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/badis-zormati/",
        "x_url": "https://x.com/zormati_ba",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/40ac24affa911ba2f5b5a37a950a219c69d32ce6.jpg"
      }
    ],
    "jobs": [
      {
        "id": 97298,
        "title": "Product Engineer",
        "url": "https://www.ycombinator.com/companies/asendia-ai/jobs/sZsNfP4-product-engineer",
        "location": "Berlin, Berlin, DE",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$80K - $120K",
        "equity_range": "0.15% - 0.50%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": [
          "Microsoft Azure",
          "Python",
          "Next.js",
          "LLMs",
          "AI Agents"
        ]
      },
      {
        "id": 106665,
        "title": "Marketing Intern - Creative Role",
        "url": "https://www.ycombinator.com/companies/asendia-ai/jobs/NGm0Ico-marketing-intern-creative-role",
        "location": "San Francisco, CA, US / Remote (US)",
        "type": "Internship",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$1K - $2K / monthly",
        "equity_range": "",
        "experience": null,
        "visa": "US citizen/visa only",
        "skills": [
          "Marketing design"
        ]
      },
      {
        "id": 110663,
        "title": "Staffing Intern – Recruiting & Talent",
        "url": "https://www.ycombinator.com/companies/asendia-ai/jobs/mRTyX0b-staffing-intern-recruiting-talent",
        "location": "Remote (US)",
        "type": "Internship",
        "role": "Recruiting & HR",
        "role_type": "Sourcer",
        "salary_range": "$1K - $2K / monthly",
        "equity_range": "",
        "experience": null,
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 101994,
        "title": "Asendia AI: clone your best recruiters into AI Agents",
        "tagline": "AI agents, that source, screen and interview candidates at scale. ",
        "body": "We are [Rihab Lajmi](https://www.linkedin.com/in/rihab-l-085182164/) and [Badis Zormati,](https://www.linkedin.com/in/badis-zormati/) Co-founders of [Asendia AI.](https://asendia.ai/)\n\n[Asendia AI](https://asendia.ai) clones your best recruiters into self learning AI agents that source, screen and help hire candidates 10x faster! And is used today by the top staffing companies in the US!\n\nSee Asendia AI in action: 🔗[ Talk to Asendia Founders](https://calendly.com/rihab-lajmi-asendia-ai/asendia-p26-investor-meetings-clone-1)\n\nSince joining YC:\\\n→ Top recruitment companies in the industry now running on [**Asendia AI**](https://www.linkedin.com/company/asendia-ai/)\\\n→ 4 major industry events sponsored\\\n→ hosted a webinar with 700 industry leaders\\\n→ Multiple dinners with customers and partners across the US\n\n> Check out our Launch video [**Here**](https://www.youtube.com/watch?v=o8-uV_ZP86I)\n\n![uploaded image](/media/?type=post&id=101994&key=user_uploads/2066133/a2a5c535-9215-4802-b5b7-d147a459275c)\n\n## Problem\n\nStaffing agencies lose deals every day because recruiters don’t have enough hours to place candidates fast enough.\n\n* Recruiters spend 80% of their day on repetitive admin work: screening, outreach, scheduling, and follow-ups\n* That leaves only a few hours for the work that actually drives placements: relationships, judgment, and closing\n* Every candidate not submitted is a placement a faster agency wins\n\nIn staffing, speed is the margin.\n\n## Solution\n\nAsendia lets staffing agencies build their own AI recruiters.\n\nEach AI recruiter is cloned from how your best human recruiters actually work: their screening criteria, outreach style, prioritization logic, and escalation rules.\n\nYou configure how they operate:\n\n* Which channels they use: phone, SMS, WhatsApp, email\n* How they screen candidates\n* What qualifies a candidate\n* When they escalate to a human recruiter\n\nUnder the hood, [Asendia](https://asendia.ai) connects to your ATS and learns from every candidate record, client req, and placement history.\n\nYour AI recruiters don’t just search by keywords. They understand your database like a tenured recruiter, matching on context and surfacing signals like contract end dates, availability shifts, and past behavior.\n\nEvery morning, your team gets a brief: who was sourced, who responded, who’s qualified, and what needs attention.\n\nRecruiters stop spending eight hours on admin and start spending eight hours on the work that wins placements.\n\n**The team**\n\n**Rihab** is ex-Google and ex-Microsoft, where she led cloud and engineering initiatives for Fortune 500 companies. Won world-wide mathematics olympiad at the age of 16.\n\n**Badis** graduated with a Master’s degree in AI and Machine Learning from the Technical University of Munich and led AI projects at Infineon Technologies, a leading global semiconductor company. Worked closely with fortune 500 to assist with AI led transformations for hardware product.\n\n![uploaded image](/media/?type=post&id=101994&key=user_uploads/2066133/80e164de-2ee1-41ad-adbc-e4d1f3a3d205)\n\n",
        "url": "https://www.ycombinator.com/launches/QX4-asendia-ai-clone-your-best-recruiters-into-ai-agents",
        "votes": 27,
        "created_at": "2026-05-26T21:03:16.723Z"
      },
      {
        "id": 100085,
        "title": "Asendia AI — Clone Your Best Recruiter!",
        "tagline": "Asendia AI builds AI recruiters for staffing agencies and enterprise companies. It clones their best recruiters into AI agents that match, screen, and submit candidates 10x faster.",
        "body": "We are [Rihab Lajmi](https://www.linkedin.com/in/rihab-l-085182164/) and [Badis Zormati,](https://www.linkedin.com/in/badis-zormati/) Co-founders of [Asendia AI.](https://asendia.ai/)\n\n---\n\nAsendia AI clones your best recruiters into AI agents that match, screen, and submit candidates 10x faster. When a healthcare staffing agency gets a job order for 20 ICU nurses, a human recruiter spends days searching their database, making phone calls, and screening candidates. Asendia does all of that automatically — it searches the agency's existing candidate database, reaches out via SMS, email, and phone, conducts screening interviews in multiple languages, and writes up structured notes directly in the ATS. The recruiter just reviews the top candidates and submits them.\\\n\\\nStaffing is different from regular hiring. It's a daily revenue operation. Agencies make money every time they place someone, and they're placing people constantly. That means Asendia isn't an occasional tool; it runs every day on every open job. Over time, we learn things no general-purpose AI tool would know: that ICU nurses in Dallas respond best to SMS on Sunday evenings, that locum tenens candidates need a different outreach cadence than perm roles, which candidate pools are exhausted. That operational memory compounds and makes it very hard for us to turn off.\n\nOur Launch Video: <https://www.youtube.com/watch?v=8pdqUklre6o>\n\n**The problem**\n\nStaffing agencies lose placements every day, not because they lack talent, but because their recruiters don't have enough hours to place candidates in time.\n\nThe average recruiter spends 80% of their day on manual redundant work. Screening, data entry, outreach, follow-ups, scheduling. The actual recruiting, the judgment, the relationships, the conversations that close, gets two hours a day if they're lucky. Every hour spent on admin is a candidate they didn't submit. Every candidate they didn't submit is a placement a faster agency took. In staffing, speed isn't a nice-to-have. It's the entire margin.\n\n**What we built**\n\nOn the Asendia platform, you build your own AI recruiters. Each one can be cloned from how your best human recruiters actually work, their screening criteria, their outreach style, their prioritization logic. You configure the workflows: which channels they use (phone, SMS, WhatsApp, email), how they screen, what qualifies a candidate, when they escalate to a human.\n\nUnder the hood, Asendia connects to your ATS and digests every candidate record, every client req, every placement history. Your AI recruiters don't search by keywords. They understand your database the way a tenured recruiter does, matching on real context, flagging candidates based on signals like contract end dates, availability shifts, and past behavior.\n\nEvery morning, your team gets a brief: who was sourced, who responded, who's qualified, and what needs attention. Your human recruiters stop spending eight hours on admin and start spending eight hours on the part that wins placements: judgment, relationships, and closing.\n\n**The team**\n\n**Rihab** is ex-Google and ex-Microsoft, where she led cloud and engineering initiatives for Fortune 500 companies. Won the World-Wide Mathematics Olympiad at the age of 16.\n\n**Badis** graduated with a Master’s degree in AI and Machine Learning from the Technical University of Munich and led AI projects at Infineon Technologies, a leading global semiconductor company. Worked closely with Fortune 500 to assist with AI-led transformations for a hardware product.\n\n![uploaded image](/media/?type=post&id=100085&key=user_uploads/2066133/93ccf745-21fa-47bb-9ce1-11e65bde5e7e)\n\n#AI #Recruiting #B2B #artificial_intelligence #Hiring #Agents #Agentic",
        "url": "https://www.ycombinator.com/launches/Q2H-asendia-ai-clone-your-best-recruiter",
        "votes": 28,
        "created_at": "2026-04-23T13:55:50.208Z"
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    "id": 31531,
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    "long_description": "Manicule does AgentRel. We get companies discovered and used by AI agents. Think DevRel, rebuilt for a world where agents make all the decisions. We own developer documentation and technical content across social channels, end-to-end. We've grown 100% MoM over the last three months to $53K in monthly revenue, with customers like Supermemory, Greptile, Reducto, and Mastra.\r\n  \r\nGetting discovered and used by agents is its own job now, and the market for it is broken. The SEO/GEO SaaS tools just show you data like where you rank in AI answers. The agencies are slow and lack know-how with agents. The one person who could own all of it end-to-end, a DevRel, is nearly impossible to hire: our customers have had roles open for months at $300K+ and still can't find anyone good. \r\n\r\nWe solve all these gaps. Naman has been doing fractional DevRel since he was 13, working with companies like PromptLayer, Brightdata, and Courier.com. Shreyans has been building since 14 — he built an AI app that hit App Store Productivity Trending within a month, and\r\nwas the founding engineer at Supermemory. We met in high school and have built multiple startups together since.",
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    "team_size": 8,
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        "full_name": "Naman Bansal",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder, CEO @ manicule.dev - helping developer tools companies with devrel. I also love tennis, poker, and art.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/namban",
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        "full_name": "Shreyans Jain",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder @ Manicule (YC P26). 19. High School Grad. Prev. Founding Engineer @ Supermemory.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/sjain07",
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        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/manicule/jobs/kAJ7hYb-founding-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $200K",
        "equity_range": "0.50% - 1.00%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": [
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      },
      {
        "id": 105094,
        "title": "Engineering Intern",
        "url": "https://www.ycombinator.com/companies/manicule/jobs/KKTDyN8-engineering-intern",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$100K - $150K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
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      },
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        "id": 105095,
        "title": "Enterprise Sales",
        "url": "https://www.ycombinator.com/companies/manicule/jobs/7l4PnOM-enterprise-sales",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$150K - $250K",
        "equity_range": "0.50% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
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        "id": 105096,
        "title": "X Content Marketer",
        "url": "https://www.ycombinator.com/companies/manicule/jobs/uYLsj72-x-content-marketer",
        "location": "SG",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$50K - $100K",
        "equity_range": "0.50% - 1.00%",
        "experience": "1+ years",
        "visa": "US citizenship/visa not required",
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      },
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        "title": "Reddit Content Marketer",
        "url": "https://www.ycombinator.com/companies/manicule/jobs/nMhqtgp-reddit-content-marketer",
        "location": "SG",
        "type": "Full-time",
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        "equity_range": "0.50% - 1.00%",
        "experience": "1+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
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        "id": 105099,
        "title": "Technical Writer & Content Strategist",
        "url": "https://www.ycombinator.com/companies/manicule/jobs/QtqvNgQ-technical-writer-content-strategist",
        "location": "SG",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$50K - $100K",
        "equity_range": "0.30% - 0.50%",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 106712,
        "title": "LinkedIn Content Marketer",
        "url": "https://www.ycombinator.com/companies/manicule/jobs/zcUTh27-linkedin-content-marketer",
        "location": "SG",
        "type": "Full-time",
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        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
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        "id": 108023,
        "title": "Freelance Technical Content Writer",
        "url": "https://www.ycombinator.com/companies/manicule/jobs/SeUD1cG-freelance-technical-content-writer",
        "location": "Remote",
        "type": "Contract",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$20K - $60K",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
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      {
        "id": 109706,
        "title": "Designer / Design Engineer",
        "url": "https://www.ycombinator.com/companies/manicule/jobs/PCYoCAU-designer-design-engineer",
        "location": "San Francisco, CA, US / Remote (US)",
        "type": "Full-time",
        "role": "Design",
        "role_type": "Product design",
        "salary_range": "$40K - $120K",
        "equity_range": "0.10% - 0.50%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 101237,
        "title": "Manicule - AI Native Technical Docs & DevRel-as-a-Service",
        "tagline": "Manicule owns docs and technical content for early-stage devtools across GEO, socials, and product videos.",
        "body": "**TL;DR:** Manicule owns docs and technical content for early-stage devtools across GEO, socials, and product videos. Twice as fast with AI and half the cost of hiring a DevRel, with solid results at Greptile, Skyvern, and Supermemory.\n\n—\n\n[**Manicule**](http://manicule.dev/) is a technical studio that owns your docs and developer-facing content end-to-end to help you grow. We write **for agents** and humans, ship in **&lt;2 weeks**, and have delivered tangible results - **\\~37%** less support tickets, millions of impressions on AI search & socials, and **$100K+** in enterprise deals closed across customers.\n\nCustomers include [**Greptile**](http://greptile.com/docs) (W24, $25M+ raised), [**Reducto**](http://docs.reducto.ai/) (W24, $100M+ raised), [**Supermemory**](http://supermemory.ai/docs), [Skyvern (S23),](http://skyvern.com/docs) Rootly, etc.\n\n## **The Problem**\n\n* Founders don’t have time to write docs, engineers hate doing it, and it ends up on the backlog forever.\n* Nobody knows how to optimize their docs for agents\n* AI tools like CC hallucinate code snippets and write empty content without nuance\n* Docs sit unused as a growth channel, leaking signups to competitors with better content.\n\nWe solve that, and here’s proof.\n\nWe’ve engineered agent-optimized docs and benchmarked it on our clients’ docs. On average, agents perform **no errors** while using our approach vs **failing 25% of the time** with other frameworks.\n\n![uploaded image](/media/?type=post&id=101237&key=user_uploads/1069030/66c15ca0-661e-465a-9356-3af1492a195a)\n\n## **Case Study: Supermemory**\n\nSupermemory had two overlapping products and a lot of internal confusion about what each one was actually for. Customers couldn't figure it out either, and the docs were full of broken code snippets.\n\nSo, we:\n\n* Got on calls with their CEO to lock down messaging and figure out the exact outcome each product was best for.\n\n![uploaded image](/media/?type=post&id=101237&key=user_uploads/1069030/19709c8a-0654-4eb0-988e-fcd387fe538a)\n\n* Redesigned the information architecture from scratch. We mapped the journey from zero to \"aha\" and structured the docs like that.\n* Wrote every page tied to a concrete developer outcome, with AI agents drafting from the OpenAPI spec and SDK definitions, then humans refining, testing every snippet, and cutting the fluff.\n\n**Results:** 37% increase in answer success rate, multiple enterprise deals closed directly from docs, and viral reception on Twitter.\n\nHere’s the Mintlify stats from **before** our engagement:\n\n![uploaded image](/media/?type=post&id=101237&key=user_uploads/1069030/3e448fc8-1672-4d58-bf45-44acd73b0d51)\n\nAnd from after:\n\n![uploaded image](/media/?type=post&id=101237&key=user_uploads/1069030/37eaa68b-ab79-4c37-a41b-784a9fd3f115)\n\nBesides the docs, we also created a lot of blog content, cookbooks, case studies, and videos for GEO, which have bought millions in impressions across AI search and socials.\n\n![uploaded image](/media/?type=post&id=101237&key=user_uploads/1069030/453c538a-5d5b-4b58-84a2-0c0112c364a2)\n\n## **How we work**\n\nYou bring us in for a complete docs write-up that ships in **about 15 days** and **keep us on call 24/7** so your docs never fall behind. From there, we extend across your full developer growth surface like blogs, cookbooks, videos, social distribution, and GEO. All content written for both agents and humans.\n\n## **Our asks**\n\n* **If your docs need work, we'd love to talk.** You can book a call here: [**https://savvycal.com/manicule/intro**](https://savvycal.com/manicule/intro**)\n* We’re working with a select few Seed+ companies first for blogs, videos, cookbooks, and overall developer marketing to deliver the best results. If you’d like to be one those, let’s chat: [**https://savvycal.com/manicule/intro**](https://savvycal.com/manicule/intro)\n\nVideo: <https://youtu.be/JIHAMiuHLls>",
        "url": "https://www.ycombinator.com/launches/QKr-manicule-ai-native-technical-docs-devrel-as-a-service",
        "votes": 29,
        "created_at": "2026-05-12T06:54:30.481Z"
      }
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    "name": "Astraea",
    "slug": "astraea",
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    "website": "https://tryastraea.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Astraea automates clinical trial biometrics from raw study inputs to FDA-ready outputs. The platform handles data normalization, CDISC mapping, SDTM, ADaM, TFLs, QC, and revision workflows in one auditable system, helping Phase II/III sponsors reduce months of manual programming and data management into automated, reviewable execution.",
    "one_liner": "AI Operating System for Clinical Development",
    "team_size": 6,
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "country": "US",
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      "name": "David Lieb",
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    "founders": [
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        "user_id": 3227004,
        "full_name": "Joshua Wang",
        "title": "Founder/CEO",
        "founder_bio": "Stanford dropout previously studying CS and Math. Top 250 united states (USAMO) Qualifier, USACO Platinum, first intern at Salient (W23) developing enterprise systems.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/joshua-wang-229196319/",
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        "title": "Founder/CTO",
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        "is_active": true,
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        "title": "Founding GTM Lead",
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        "title": "Astraea - Agents Accelerating clinical trials.",
        "tagline": "Astraea is an agentic platform that automates clinical trial data analysis and statistical programming, from raw study data to CDISC-compliant datasets, TFLs, and FDA-ready outputs.",
        "body": "# **TL;DR**\n\nClinical trial analysis is still shockingly manual.\n\nAfter a study collects data, teams spend months converting raw clinical data into SDTM, ADaM, TFLs, and submission-ready packages. This work is slow, expensive, and error-prone.\n\nAstraea is a platform that completely automates the end-to-end biometrics pipeline from just a protocol and the raw data to a submission ready output. We are starting with oncology and rare disease studies, where analysis complexity is high and every month saved matters.\n\n![uploaded image](/media/?type=post&id=101307&key=user_uploads/3227004/b76b7415-1d15-4060-9cbd-22e974712bb0)\n\n**The Problem**\n\nToday, sponsors and CROs still rely on large teams of statistical programmers, biostatisticians, and data managers to manually transform messy clinical data into regulatory outputs.\n\nA single study can require:\n\n1. Raw data cleaning and reconciliation\n2. SDTM mapping\n3. ADaM dataset creation\n4. TFL shell generation\n5. Statistical programming\n6. QC and validation\n7. Regulatory formatting and traceability\n\nFrom our customer conversations, this can take around 9 months with teams of 5-10 people communicating asynchronously. And the process is still full of Word docs, Excel specs, SAS programs, manual handoffs, version-control issues, and repeated QC cycles.\n\nUltimately, this means slower decisions, delayed filings, higher CRO spend, and less control over the most important data in the company.\n\n## **Our Solution**\n\nWe built the first AI native platform for clinical trial biometrics.\n\nAstraea takes study inputs and automatically generates the datasets, analysis specs, statistical code, and outputs required for regulatory review.\n\nThe pipeline:\n\n1. Ingest raw clinical data, protocol, and study metadata\n2. Generate TFL shells, SAP, eCRF from the protocol and study design\n3. Generate CDISC-compliant SDTM datasets\n4. Generate ADaM datasets and analysis-ready variables\n5. Produce tables, figures, listings, and traceable statistical programs\n6. Run QC checks and generate FDA-ready outputs\n\nWe are the first to actually completely automate workflows across SDTM, ADaM, TFL generation, Pinnacle 21 checks, and specification creation.\n\nFor ongoing studies, we have compressed work that normally takes months into days.\n\n## **Why Now**\n\nClinical trials are becoming more complex, but the tools have not improved in the last 20 years (something an actual customer said). At the same time, AI models can finally reason across protocols, SAPs, data dictionaries, clinical datasets, and regulatory standards.\n\nThat unlocks something new: biometrics workflows that are not just assisted by software, but executed by agents.\n\nAstraea is not replacing scientific judgment. We are automating the manual programming and data wrangling that slows teams down, while keeping humans in the loop for review, validation, and regulatory decisions.\n\n## **Our Team**\n\n![uploaded image](/media/?type=post&id=101307&key=user_uploads/3227004/13d628c7-5571-42b0-960a-1b7246effa4c)\n\n\\*\\*Joshua Wang: Co-founder, CEO\\\n\\*\\* Stanford, math/CS. Built multi-agent AI systems and clinical data automation workflows. Previously worked on production AI systems for enterprise customers.\n\n\\*\\*Sanmay Sarada: Co-founder, CTO\\\n\\*\\* Stanford CS. Built clinical and hospital data infrastructure across diagnostic software systems. Focused on regulated healthcare workflows and data pipelines.\n\nWe started Astraea because people close to us in pharma kept describing the same bottleneck: clinical trial analysis was too manual, too slow, and too dependent on fragmented CRO workflows.\n\nSo we built the automation layer we wished existed.\n\nFind us at [**founders@tryastraea.com**](mailto:founders@tryastraea.com)\n\n<https://tryastraea.com/>",
        "url": "https://www.ycombinator.com/launches/QLz-astraea-agents-accelerating-clinical-trials",
        "votes": 62,
        "created_at": "2026-05-14T00:51:51.078Z"
      }
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  },
  {
    "id": 31535,
    "name": "Arlo Industries",
    "slug": "arlo-industries",
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    "website": "https://arlo1.com/",
    "all_locations": "New York City, NY, USA",
    "long_description": "Arlo Industries is building a network of sensors that precisely tracks stealthy drones and aerial threats better than radars.\r\n\r\nThis capability does not exist yet because traditional radars are built on past war doctrines designed to protect single, centralised assets. Modern warfare, however, demands wide-area, persistent coverage that is both passive and economically scalable. By utilising a mesh architecture, Arlo Industries unlocks unprecedented asymmetric economics. The network is fundamentally built to scale: the cost of adding sensors grows linearly, but the tracking accuracy increases exponentially, delivering highly resilient, persistent coverage for a fraction of the cost of legacy systems.\r\n\r\nDeo founded Arlo Industries after spending over 6 years in the Israeli defence ecosystem, where he lived through multiple conflicts and experienced the Iron Dome and other systems in action against ICBMs and the infamous Shahed drones. Learning exactly how these defence systems could be improved after a Shahed exploded close to his apartment, he built Arlo Industries around the core philosophy that conflict should be concise & precise.\r\n\r\nThe people behind Arlo1 includes a PhD in drones and autonomy and military experts.\r\n\r\nArlo Industries has actively showcased this technology directly to Ukrainian militaries on the frontlines, as well as to operators across Europe and the USA.",
    "one_liner": "Track drones and missiles without radars - Accurate, Passive, Scalable",
    "team_size": 3,
    "industry": "Industrials",
    "subindustry": "Industrials -> Defense",
    "launched_at": 1778901342,
    "tags": [
      "Hard Tech",
      "Hardware",
      "Defense"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
      "Industrials",
      "Defense"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/arlo-industries",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/arlo-industries.json",
    "year_founded": 2025,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/109767109/",
    "x_url": "https://x.com/deoarlo",
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    "primary_partner": {
      "name": "Andrew Miklas",
      "url": "https://www.ycombinator.com/people/andrew-miklas"
    },
    "founders": [
      {
        "user_id": 836806,
        "full_name": "Deo Arlo (Iron Dome Guy)",
        "title": "Founder/CEO",
        "founder_bio": "Deo is the Founder and CEO of Arlo Industries. He studied Mechanical Engineering at Technion Israel (birthplace of the Iron Dome) and lived there for over 6 years under multiple wars. As a Robotics Researcher at Technion, he developed and patented a novel robotic invention that spun out into a venture-backed company. Before Arlo Industries, he was the Co-founder and CTO of Makrverse, a funded platform helping engineers own and commercialise their inventions.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/deoarlo",
        "x_url": "https://x.com/deoarlo",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9af3f2e9119170995152885140fc223f0d1b75f5.jpg"
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    ],
    "jobs": [
      {
        "id": 95369,
        "title": "Perception Engineer (Edge CV/AI)",
        "url": "https://www.ycombinator.com/companies/arlo-industries/jobs/MdmYa3Z-perception-engineer-edge-cv-ai",
        "location": "San Francisco, CA, US / Troy, NY, US / Remote (Kyiv, Kyiv city, UA; Helsinki, Uusimaa, FI)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Hardware",
        "salary_range": "$100K - $250K",
        "equity_range": "0.25% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "C++",
          "Python",
          "TensorFlow",
          "Distributed Systems",
          "Deep Learning",
          "CUDA",
          "GPU Programming",
          "OpenCV",
          "Computer Vision",
          "Embedded Linux",
          "Firmware",
          "Machine learning",
          "Sensor integration"
        ]
      },
      {
        "id": 95372,
        "title": "Communications & Networking Engineer (Mesh / RF / Edge Systems)",
        "url": "https://www.ycombinator.com/companies/arlo-industries/jobs/RZXGfgu-communications-networking-engineer-mesh-rf-edge-systems",
        "location": "San Francisco, CA, US / Troy, NY, US / Remote (Kyiv, Kyiv city, UA; Helsinki, Uusimaa, FI)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Electrical",
        "salary_range": "$150K - $250K",
        "equity_range": "0.25% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "C++",
          "Python",
          "TCP/IP",
          "Distributed Systems",
          "Software Architecture",
          "Information Security",
          "Embedded Linux",
          "Firmware",
          "Internet of Things (IoT)",
          "Microcontrollers",
          "Sensor integration"
        ]
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 101954,
        "title": "Arlo Industries: We track drones and missiles without radar 🚀",
        "tagline": "We build sensors that track drones & missiles better than radars",
        "body": "---\n\n**Hi, I'm Deo, founder of [Arlo Industries](https://arlo1.com/).**\n\n<https://youtu.be/2F0cugbrq3A>\n\n**The problem**\n\nModern air defence depends on active radars: expensive, emitting, and targetable. A single ground-based radar unit can cost tens of millions, broadcasts its location to anything listening, and leaves massive coverage gaps against low-altitude threats like drones.\n\nThis architecture was built for a different era. Today's threat, swarms of cheap drones and cruise missiles flying below radar coverage, exploits every weakness of centralised, active sensing.\n\n**What we're building**\n\nMentat is a passive, distributed sensing network.\n\n* **Tracks aerial objects in 3D without emitting**: invisible to the threats it detects\n* **Accurately track smaller threats**: our mesh works together to better pinpoint small targets\n* **Scales via many low-cost nodes**: instead of a few high-value targets, we employ asymmetric economics where adding nodes grows linearly in cost but tracking accuracy increases exponentially\n\nWe're the sensing layer, the force multiplier for every interceptor and C-UAS system in the market.\n\n![uploaded image](/media/?type=post&id=101954&key=user_uploads/836806/ddbe92c9-897d-4e52-90ab-c8574ed7335c)\n\n**What we're really building**\n\nDrone detection is our wedge, not our ceiling. The real innovation isn't in any single sensor, it's in the network that ties it all together. We're building the foundational sensing and communications infrastructure layer for frontline defence. A distributed, resilient network that future defence technologies will plug into. Like the **Starlink before the Starship.**\n\n**Why now**\n\nLow-altitude airspace is increasingly contested. Ukraine, Nordics, Eastern Europe, &amp; Middle East, operators everywhere are discovering that the cost curve of traditional radar doesn't scale against distributed drone threats. At the same time, edge compute, distributed systems, and passive optical sensing have reached the point where a fundamentally different architecture is viable.\n\n**Backstory**\n\nI spent 6+ years in Israel, living through multiple conflicts and seeing systems like Iron Dome operate against ballistic missiles and drones firsthand. When a Shahed drone exploded near my apartment, the gap between what exists and what's needed became personal. Since then, I've been in Ukraine and across Eastern Europe, working directly with military operators and validating in real conflict environments.\n\n📍Field Test - Ukraine\n\n![uploaded image](/media/?type=post&id=101954&key=user_uploads/836806/b380d961-dde4-4e50-b6eb-1cbf708e6d3c)\n\n**Traction**\n\n* Active technology demonstrations with Ukrainian military on the frontlines\n* Partnerships and military relationships across USA, Ukraine, Finland, and Estonia.\n* Team includes a PhD in drones/autonomy and military domain experts\n\n**Our asks**\n\n🔧 **Hiring:** We're looking for engineers in optics, signal processing, long-range comms, mesh networks, and off-grid embedded systems → [Jobs page](https://www.ycombinator.com/companies/arlo-industries/jobs)\n\n🤝 **Intros:** Defense operators, C-UAS companies, or critical infrastructure partners (airports, energy, borders) dealing with aerial awareness gaps → please reach out on [Linkedin](https://www.linkedin.com/in/deoarlo/)",
        "url": "https://www.ycombinator.com/launches/QWQ-arlo-industries-we-track-drones-and-missiles-without-radar",
        "votes": 55,
        "created_at": "2026-05-26T05:39:42.686Z"
      }
    ]
  },
  {
    "id": 31538,
    "name": "flowscope",
    "slug": "flowscope",
    "former_names": [
      "GEO Advisor"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8294685f458783c2fab7247c8fd749f25be5691c.png",
    "website": "https://flowscope.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "flowscope is an AI implementation firm that deploys agents to map, optimize, and automate companies’ processes end to end",
    "one_liner": "AI implementation firm that maps and automates business processes",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1778457195,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/flowscope",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/flowscope.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/flow-scope",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
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    "primary_partner": {
      "name": "David Lieb",
      "url": "https://www.ycombinator.com/people/david-lieb"
    },
    "founders": [
      {
        "user_id": 2941497,
        "full_name": "Samuel Mirpuri",
        "title": "Founder/CEO",
        "founder_bio": "McKinsey (QuantumBlack)\nHarvard MBA\nSatellite Engineer MIT\nAeronautical Engineering, Imperial College\nPlatoon commander, Singapore Armed Forces",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/samuel-mirpuri",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/01c1dd704d4b2c62f3153bbee0b0961b92c14c47.jpg"
      },
      {
        "user_id": 879666,
        "full_name": "Javier Leguina",
        "title": "Founder/CTO",
        "founder_bio": "2x founder\nFounding Engineer ModelML (W24)\nML Engineer Encord (W21)\nMSc Machine Learning (UCL)\nAeronautical Engineering (Imperial College)",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/jleguina0",
        "x_url": "https://x.com/jleguina0",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/934205d5fa61cd6933adbb524ad1ac3d9d30002c.jpg"
      }
    ],
    "jobs": [
      {
        "id": 111092,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/flowscope/jobs/l9IvfsO-founding-engineer",
        "location": "San Francisco, CA",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $250K",
        "equity_range": "0.50% - 1.50%",
        "experience": "2+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Microsoft Azure",
          "Rust",
          "TypeScript",
          "Windows",
          "Next.js",
          "LLMs",
          "AI Agents"
        ]
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 120295,
        "title": "flowscope: Your in-house AI process consultant",
        "tagline": "Map your processes in two weeks, then deploy AI where it delivers the most value",
        "body": "**TL;DR**\n\nOur new AI process consultant makes AI implementation simple. Companies can now map out entire departments autonomously in two weeks, see where AI can deliver the most value, and deploy AI systems into production.\n\n<https://youtu.be/Cq_ekX_A-LY>\n\n**The problem**\n\nAI models have never been more powerful, but most companies still haven't put them to work. The hardest part is deployment: every company runs on fragmented systems and decades of manual processes. Fitting AI into those systems currently takes months of interviews, consultants and integrators.\n\n**How it works**\n\nOur agents:\n\n1\\. Map your business processes\n\n2\\. Reengineer your operations around AI\n\n3\\. Deploy AI systems into production\n\n**Why we built this**\n\nWhen I was a consultant at McKinsey, it would take months of interviews just to understand how a company operates. Javier deployed enterprise AI as a founding engineer at Model ML (YC W24). Together we built flowscope to solve AI implementation.\n\n**Our ask**\n\nBook a demo at [flowscope.com](http://flowscope.com) or email us at [samuel@flowscope.com](mailto:samuel@flowscope.com). If you know CEOs/CFOs at mid-market enterprises or PE operating partners, we'd love an intro.",
        "url": "https://www.ycombinator.com/launches/VIF-flowscope-your-in-house-ai-process-consultant",
        "votes": 4,
        "created_at": "2026-10-07T01:44:43.327Z"
      },
      {
        "id": 101162,
        "title": "flowscope: agentic process mining and automation",
        "tagline": "flowscope is an AI-native consulting firm that uses agents to map and automate business processes",
        "body": "TLDR: _flowscope deploys agents that learn and document how your business actually runs: who touches what, where it stalls, what's pure repetition. Our agents redesign and automate these processes, shipping AI into production on your existing systems. In days, not months._\n\nLearn more at <https://flowscope.com>\n\nVideo Launch: <https://youtu.be/cRw55SdXirU>\n\n**The problem**\n\nThe hard part of enterprise AI isn't the models anymore, it's deploying them against the messy reality of how businesses actually run.\n\nEvery company has the same problem: invoices re-keyed between systems, approvals chased over email, the same spreadsheet rebuilt every week. The AI tools that could fix it are stuck in proofs of concept: integration is painful, your team doesn't have the bandwidth, and the consultants you hired left you with a deck and a bill.\n\n**What we're building**\n\nflowscope fixes this. Our agents sit on top of your existing tools and learn how your team actually works: who touches what, where things stall, what's pure repetition. Within days, you get a map of your processes, a redesign of how the work should flow, and the automation shipped into production. Not a deck. Not a pilot. Working software on the systems you already have.\n\n**About Us**\n\n**Javier Leguina:** 2x founder, Founding engineer Model ML (YC W24)\n\n**Samuel Mirpuri:** Quantum Black (AI by McKinsey), Platoon Commander Singapore Armed Forces\n\n**Asks**\n\n1\\. Intros to CFOs or COOs at mid-market or enterprise companies with manual finance, admin or ops processes.\n\n2\\. Intros to PE operating partners working on improving operational efficiencies at portfolio companies.\n\nLearn more at <https://flowscope.com>\n\n![uploaded image](/media/?type=post&id=101162&key=user_uploads/2941497/9832115c-cbd5-4602-8161-9a1349babc92)\n\n",
        "url": "https://www.ycombinator.com/launches/QJe-flowscope-agentic-process-mining-and-automation",
        "votes": 45,
        "created_at": "2026-05-11T07:19:56.910Z"
      }
    ]
  },
  {
    "id": 31539,
    "name": "Klaimee",
    "slug": "klaimee",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/28ec0b5eb9ee17aca79ca3ae9075dcef5cfe09eb.png",
    "website": "https://www.klaimee.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Klaimee is the first insurance for your AI agents. It covers what traditional E&O and cyber explicitly carve out, so you can deploy agentic AI at scale with real peace of mind.\r\nBuilt for companies deploying agentic AI, self-serve from day one.\r\n\r\nThe problem: AI agents are taking actions autonomously buying, emailing, modifying sensitive data. AB 316 already holds deployers liable. EU AI Act enforces in August. Cyber and E&O insurance are excluding AI claims. Companies shipping agents have zero coverage and no third-party proof their agent is safe. Enterprise legal asks \"who pays if your agent breaks something?\" and there's no good answer.\r\n                                                                                                                                                                                                                                        \r\nWe built the answer. Critical-category risk evaluation, certification, financial guarantee, liability insurance and the documentation enterprise procurement needs to sign off.\r\n\r\nTeam: Ines (ex-General Manager at SafetyWing, grew insurance product from $5M to $60M revenue, 5 years launching insurance products from scratch and structuring a TokioMarine MGA into its own carrier) + Julien (AI software engineer + corporate strategy, enterprise compliance).\r\n\r\nWe understand how insurance works, what enterprises require, and why startups can't wait 6 months for either.",
    "one_liner": "Liability insurance for AI Agents. You deploy agents, we cover you.",
    "team_size": 2,
    "industry": "Fintech",
    "subindustry": "Fintech -> Insurance",
    "launched_at": 1775456412,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
      "Fintech",
      "Insurance"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": [
      {
        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "AI agents can now execute financial transactions, access sensitive data, and take real-world actions, but there is no insurance, no certification, and no clear liability framework for when they fail.\r\n\r\nThis is the same gap that existed with cyber risk in the early 2000s, before a $15B+ insurance market emerged. We’re at that same inflection point with AI.\r\n\r\nThe signals are already there: AI-related incidents are being carved out of traditional liability coverage, lawsuits are growing rapidly, and enterprises are still under pressure to deploy AI. The result is a fast-growing, unaddressed risk layer.\r\n\r\nWe saw this firsthand. We were building AI agents for claims processing: handling payments and decisions inside regulated environments. Every customer asked the same question: who is liable when the agent gets it wrong? There was no answer.\r\n\r\nThat’s when it became clear: this infrastructure has to exist before enterprise AI can scale.\r\n\r\nInes had already built insurance products from zero at SafetyWing, including carrier relationships and underwriting frameworks. We realized we were uniquely positioned to build the certification and insurance layer for AI agents - so we did."
      },
      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "Every transformative technology needs a trust layer before it can scale.\\\r\nThe internet needed cybersecurity. Cloud computing needed compliance and audit standards.\r\n\r\nAI is next.\r\n\r\nToday, AI agents can act but they can’t be trusted at scale. There is no standard for how they’re evaluated, no clear liability when they fail, and no infrastructure to make them safe to deploy in critical environments.\r\n\r\nIf we succeed, the liability and certification framework we build won't just protect enterprises, it will make AI itself safer, more accountable, and more auditable at a global scale. We are not just selling insurance. We are building the infrastructure that allows the agentic world to exist."
      }
    ],
    "url": "https://www.ycombinator.com/companies/klaimee",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/klaimee.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/klaimee",
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        "full_name": "Ines Boutemadja",
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        "full_name": "Julien Catonnet",
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        "founder_bio": "From corporate strategy to software engineering. Co-founder and CTO of Klaimee, AI agent risk certification and liability coverage. Self-serve",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/julien-catonnet-18624162/",
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        "title": "General Counsel & Head of Insurance",
        "url": "https://www.ycombinator.com/companies/klaimee/jobs/CXFmWvr-general-counsel-head-of-insurance",
        "location": "San Francisco, CA, US / Remote (US)",
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        "experience": "6+ years",
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        "url": "https://www.ycombinator.com/companies/klaimee/jobs/yBVUdLJ-founding-gtm-lead",
        "location": "San Francisco, CA, US / Remote (US)",
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        "id": 106309,
        "title": "Growth Marketer  (Founding) ",
        "url": "https://www.ycombinator.com/companies/klaimee/jobs/yqjRU31-growth-marketer-founding",
        "location": "San Francisco, CA, US / Remote (US)",
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        "experience": "Any (new grads ok)",
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        "id": 106312,
        "title": "Founding Broker Partnerships Lead",
        "url": "https://www.ycombinator.com/companies/klaimee/jobs/z9edN2S-founding-broker-partnerships-lead",
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        "title": "Growth Marketer (Intern) ",
        "url": "https://www.ycombinator.com/companies/klaimee/jobs/VkqRyxv-growth-marketer-intern",
        "location": "San Francisco, CA, US / Remote (US)",
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        "id": 100700,
        "title": "Klaimee insures your AI Agents",
        "tagline": " Klaimee is the first purpose-build E&O coverage for AI agents.",
        "body": "**TL;DR: [Klaimee](https://klaimee.ai) is the first insurance for your AI agents. It covers what traditional E&amp;O and cyber explicitly carve out, so you can deploy agentic AI at scale with real peace of mind.**\n\n80% of Fortune 500 companies are already using AI agents. That’s creating a new kind of liability risk no one is really covering yet.\\\nEnterprises want AI. But they want to know “who pays if something goes wrong”? There’s no clear answer today.\\\nMeanwhile, AI-related lawsuits are up 137% between 2024 and 2025.\n\n> 👋 Hi, we are Ines and Julien.\\\n> [Ines](https://www.linkedin.com/in/ines-boutemadja/) was General Manager at SafetyWing (W18), she spent the last 5 years building insurance products from scratch, structured a Tokio Marine MGA, and got the Puerto Rico carrier license, scaling an insurance startup from $5M to $60M. She ran this playbook before, doing it again, AI-native this time.\\\n> [Julien](https://www.linkedin.com/in/julien-catonnet/) handles the engineering and enterprise compliance side. He has a strategy consulting background, working with corporates and insurance, coupled with a deep software engineering and AI expertise.\\\n> 🔥 Our team brings the best of both worlds to underwrite the new emerging AI risk.\n\n### **💡 The opportunity:**\n\nTraditional insurance was built for deterministic software; it either works or throws an explicit error. AI agents fail silently and not uniformly. So cyber won't cover it. E&amp;O won't cover it either.\n\nThe existing insurance industry lacks the velocity and deep AI knowledge to fill this gap.\n\nWe built [Klaimee](https://klaimee.ai) to do exactly that: we provide liability insurance, financial guarantee, critical risk evaluation, certification, and procurement documentation enterprises require, all in under 24 hours.\n\nWatch our launch video below <https://youtu.be/Y7VBNr81b5Y>\n\n### **⚙️ How we do it:**\n\nTo insure AI agents, we had to reinvent how traditional underwriting works. Our proprietary, three-block system determines an agent’s risk score and insurance price:\n\n1. **Public Data Scan:** We scan publicly available data related to the agent.\n2. **Governance Assessment:** We ask 30 questions concerning the agent’s governance.\n3. **Behavioral Testing:** We actually test your agent’s behavior, firing more than 100 probes (prompt injection, jailbreak, decision drift, data leakage, biased outputs) to understand _when_ and _how_ it fails.\n\n![uploaded image](/media/?type=post&id=100700&key=user_uploads/2955371/49d6f4de-8787-48c4-a6b2-728323148e81)\n\n![uploaded image](/media/?type=post&id=100700&key=user_uploads/2955371/9ebe5a9c-7ce0-4d29-b3f5-c7017ca8d0d7)\n\n**Score it. Certify it. Underwrite it. Insure it ▷ with a 24h turnaround.**\n\nWe bring the trust layers so startups and enterprises can deploy agentic AI with peace of mind.\n\n### **🛡️ What we cover: AI agents in healthcare and biotech, finance &amp; accounting, IT &amp; software development, law &amp; legal tech, customers support and sales agents.**\n\nAI Agents act like humans: they take actions, make decisions, and have a real impact that can cause damages. At[ Klaimee](https://klaimee.ai), we cover the actual behavior of the AI agents. Real failure modes happening in production right now:\n\n* An agent hallucinated a contract clause your customer relied on.\n* An agent leaked one patient’'s data to another.\n* An agent made a biased call in lending, hiring, or pricing.\n* An agent took an unauthorized action with financial damage downstream.\n\n### **⌛️ Why now:**\n\nMajor insurers like Berkshire, Chubb, and Travelers are winning state approval to exclude AI liability from standard commercial policies, leaving every agent-deploying company exposed. And it is leaving every agent-deploying company exposed.\n\nThe ISO, which sets standards for 70% of the U.S. market, is making AI exclusions the default for Commercial General Liability policies (ISO CG 40 47 / CG 40 48 endorsements). The EU AI Act enforces in August 2026.\n\nEvery Fortune 500 procurement team is now asking the AI insurance question, and the answer from incumbents is \"we exclude that.\"\n\nThe same thing happened with cyber 20 years ago. It got carved out of existing policies. A whole new line of insurance was created. The same shift is happening with AI right now. And nobody has built the product for it yet.\n\nInes has done this in insurance before. Julien goes deep on the AI side. Together we know how to actually price the risk.\n\nWe understand what enterprise buyers need to see, and why a startup can’t sit around for 6 months waiting on a traditional carrier.\n\nIf you’re shipping AI agents into enterprise, you should already be thinking about coverage.\n\n### We’re underwriting our first cohort now → [**klaimee.ai**](http://klaimee.ai)",
        "url": "https://www.ycombinator.com/launches/QCC-klaimee-insures-your-ai-agents",
        "votes": 44,
        "created_at": "2026-05-03T23:41:44.304Z"
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    "id": 31540,
    "name": "KugelAudio",
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    "all_locations": "Berlin, Berlin, Germany",
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    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1777590592,
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    "batch": "Spring 2026",
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    "year_founded": 2025,
    "city": "Berlin",
    "country": "DE",
    "linkedin_url": "https://de.linkedin.com/company/kugelaudio",
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        "full_name": "Viktor Presber",
        "title": "Founder",
        "founder_bio": "Co-Founder of KugelAudio, building foundational Text-To-Speech models for customer support. Started founding ventures at 17 with a local video production company. Later co-founded full-house.io, scaling to $300K ARR in six months with enterprise clients like Siemens Energy, Hitachi Rail, and Barilla. Previously co-founded Sagemode, securing partnerships with two major esports teams. ",
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        "full_name": "Kajo Kratzenstein",
        "title": "Founder/CTO",
        "founder_bio": "Founder at KugelAudio (YC P26). Previously CTO at Sagemode, scaling an in-game AI coach to 1,000+ users with deep League of Legends integration. Built production aneurysm detection model at Floy GmbH. MA and BSc in Computer Science from Hasso Plattner Institute.",
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        "url": "https://www.ycombinator.com/companies/kugelaudio/jobs/WKo2Gk0-berlin-part-time-on-site",
        "location": "Berlin, BE, DE / Berlin, Berlin, DE",
        "type": "Internship",
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        "url": "https://www.ycombinator.com/companies/kugelaudio/jobs/OujwnhC-founding-sales-outbound",
        "location": "Berlin, BE, DE / Berlin, Berlin, DE",
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        "equity_range": "0.01% - 0.35%",
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        "title": "KugelAudio: A multilingual voice AI model you can run in your own cluster.",
        "tagline": "Human-like TTS for 30+ languages, on-prem and low latency",
        "body": "### TL;DR: KugelAudio is a multilingual voice AI model that generates natural speech in 30+ languages and can run fully on-prem in your own Kubernetes cluster.\n\n### <https://youtu.be/R4HqJ8Ai-z4>\n\n**Launch Day Special 🚀**\\\nBook a demo and mention our launch: we’ll give you **20% off.** \\\n\\\n\\\n**Problem**\n\nCurrent TTS models are English-first and cloud-hosted. Kugel speaks 30+ languages and dialects natively like Bavarian German, Northern Irish English, or Yemeni Arabic even on edge cases like email addresses, phone numbers, or product names. \\\n\\\n**Solution**\\\nDrop our model into your Kubernetes cluster and use voice AI on patient records, financial transactions, or internal customer data without sending anything to a third party.\n\n**A few more things**\n\n* **60ms latency.** One of the fastest TTS models on the market.\n* **IPA notation support** across 30+ languages.\n* **Voice cloning** from a few seconds of audio.\n\n### \n\n**Meet the team**\n\nWe’re a team of two from Germany and Poland.\n\n![uploaded image](/media/?type=post&id=102000&key=user_uploads/2385896/be66da7a-d0de-4690-91d1-1a368e5d0689)\n\nKajo spent the last 2 years researching TTS at Hasso-Plattner-Institut and built the model. Viktor runs commercial and brings the enterprise sales experience. We kept hearing the same thing from enterprise voice buyers: providers mispronounce their product names and their legal team won't sign the DPA anyway. So we built the thing they actually wanted.\\\n\\\n**🤝 Our Ask**\n\nIf you deal with mispronunciations or sensitive voice data:\n\n\\- Book a [demo](https://calendar.app.google/TESsGfQBZzABugb56)\\\n\\\n**Thank you! 🙏**\n\nKajo and Viktor",
        "url": "https://www.ycombinator.com/launches/QXA-kugelaudio-a-multilingual-voice-ai-model-you-can-run-in-your-own-cluster",
        "votes": 8,
        "created_at": "2026-05-27T06:47:39.124Z"
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    "website": "https://intelligence-factory.com",
    "all_locations": "New York City, NY, USA",
    "long_description": "Robotics is the new paradigm. With hardware converging, Intelligence is the biggest bottleneck. Our world was built for humans and we're giving robots the ability to reason and act like us. \r\n\r\nThe way we learn any task - by seeing, doing, and feeling - is how we train robots. We're building general intelligence that works on any robot and fits seamlessly within our world.",
    "one_liner": "Human Intelligence for Robots",
    "team_size": 10,
    "industry": "Industrials",
    "subindustry": "Industrials -> Manufacturing and Robotics",
    "launched_at": 1777499618,
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    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/intelligence-factory",
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    "year_founded": 2026,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/intelligence-factory/?viewAsMember=true",
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      "name": "Pete Koomen",
      "url": "https://www.ycombinator.com/people/pete-koomen"
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        "user_id": 3245378,
        "full_name": "Yash Sinha",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder and CEO - Intelligence Factory. Robotics ETH Zurich. Ex-Founder/CTO Kaio Labs. F1 Simulation Engineer. On a mission to unlock generalized robotics.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/yash-sinha-556b411b3/",
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      },
      {
        "user_id": 3417788,
        "full_name": "Jalaj Shukla",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder and CTO of Intelligence Factory - Unlocking Robotics\nPreviously: MTS (Manipulation, VLA, Controls) at Dimensional, Sr. Robotics Engineer (Manipulation) at Blue Sky Robotics, CV Engineer at Applied Materials, R&D SWE at Ansys. MS in Robotics & Mechatronics from UPenn, GRASP Lab RA on multimodal manipulation policies. Earlier, worked as Research Fellow at DRDO, Ministry of Defence.\nLove cooking and exploring new places, active meditator and poet. ",
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        "linkedin_url": "https://www.linkedin.com/in/jalaj-shukla-635005167/",
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        "id": 93968,
        "title": "Founding Engineer: Manipulation",
        "url": "https://www.ycombinator.com/companies/intelligence-factory/jobs/gTQaSpW-founding-engineer-manipulation",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Robotics",
        "salary_range": "$80K - $200K",
        "equity_range": "0.10% - 2.50%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 100368,
        "title": "Data Engineer (India)",
        "url": "https://www.ycombinator.com/companies/intelligence-factory/jobs/X8JNksS-data-engineer-india",
        "location": "Pune, Maharashtra, IN",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Data science",
        "salary_range": "₹1.5M - ₹4M INR",
        "equity_range": "0.01% - 0.20%",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
        "skills": [
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          "Torch/PyTorch",
          "Multimodal AI"
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      },
      {
        "id": 106818,
        "title": "GTM/Operations Intern",
        "url": "https://www.ycombinator.com/companies/intelligence-factory/jobs/HkPFlZx-gtm-operations-intern",
        "location": "New York, NY, US",
        "type": "Internship",
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        "equity_range": "",
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      {
        "id": 106819,
        "title": "Mechanical Engineer (India)",
        "url": "https://www.ycombinator.com/companies/intelligence-factory/jobs/RADFs9S-mechanical-engineer-india",
        "location": "Pune, Maharashtra, IN",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Mechanical",
        "salary_range": "₹1M - ₹2M INR",
        "equity_range": "0.01% - 0.20%",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
        "skills": [
          "CAD Design",
          "Prototyping"
        ]
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 102271,
        "title": "Intelligence Factory",
        "tagline": "Human Intelligence for Robots",
        "body": "Intelligence Factory is building human intelligence for robots.\n\nRobotics hardware is converging, and intelligence is the biggest bottleneck.\n\nWe are building general-purpose manipulation intelligence that makes robots work in diverse and unconstrained environments. Our models are trained on human demonstration data captured in our data factories. In these facilities, humans perform a wide variety of tasks while wearing our custom-built gloves, which capture what they see, do, and feel.\n\nWe retarget human motion to robot motion to deploy our models on a variety of robot hardware, from 5-finger dexterous hands to grippers.\n\nWe are deploying in warehouses, grocery stores, and data centers. As our data scales in volume and diversity, we will build models that generalize to any task, object, and environment.\n\nWe're building embodied intelligence: robots that reason like humans and fit seamlessly within our world.\n\nYash and Jalaj have spent the last 5 years deploying robots in the real world, working across the robotics pipeline from data collection and model building to last-mile deployment.\\\n\\\n<https://youtu.be/NhQ7k4CJ_24>",
        "url": "https://www.ycombinator.com/launches/QbX-intelligence-factory",
        "votes": 33,
        "created_at": "2026-05-30T04:57:06.187Z"
      }
    ]
  },
  {
    "id": 31564,
    "name": "Huscarl",
    "slug": "huscarl",
    "former_names": [
      "Huscarl",
      "Huscarl Inc."
    ],
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    "one_liner": "AI-native actuary enabling self-insurance for corporations",
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    "year_founded": 2025,
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        "full_name": "Alex Musy",
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        "full_name": "Paulien Jeunesse",
        "title": "Founder/CTO",
        "founder_bio": "PhD in Actuarial Science (ENS / Dauphine) turned AI Founder. Previously at Descartes Underwriting, where I co-built a 7-figure cyber product.\nNow building the world's first AI-native insurance broker for the mid-market. We use agentic workflows to turn 300-page policies into math.",
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      {
        "id": 95471,
        "title": "Member of technical staff – Paris",
        "url": "https://www.ycombinator.com/companies/huscarl/jobs/fQTxjSs-member-of-technical-staff-paris",
        "location": "Paris, IDF, FR / Paris, Île-de-France, FR",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "€60K - €90K EUR",
        "equity_range": "2.00%",
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        "id": 100038,
        "title": "Huscarl: actuarial intelligence for corporate insurance buyers",
        "tagline": "30% cheaper insurance for zero downside",
        "body": "TLDR: Huscarl is an AI-native insurance advisory firm for corporations ($50M+ revenue). We help them save 30% on annual premiums with zero downside.\n\n[**https://youtu.be/HuHWqokdRFo**](https://youtu.be/HuHWqokdRFo)\n\nHey guys, we’re Paulien and Alex, and we’re building Huscarl to fix corporate insurance.\n\n**Problem**\n\nAll of the companies we worked with were :\n\n* Overinsured in some areas, because brokers and insurers want to sell them more insurance than they need\n* Underinsured in others, because they don’t fully understand the risks their business is facing\n\nRisk managers face huge internal pressure because insurance costs 2% of a company’s revenue every year and it feels like it never pays when you need it.\n\n**What we’re building**\n\nWe’re building an AI-native actuarial advisory that:\n\n* Tells you if you’re paying the right $ for your coverage\n* Tells you what to keep, change or kill in your insurance program\n\nBy creating insurance programs that fit perfectly a company’s risk profile, we’re able to generate \\~30% premium savings for similar or better coverage, and get the risk manager promoted :)\n\n**The team**\n\n![uploaded image](/media/?type=post&id=100038&key=user_uploads/3407956/8337ed8b-f6b4-4f89-8582-d18d20798e40)\n\nBefore joining YC, Alex (on the left) and Paulien (on the right) created together the world’s first cyber parametric insurance for corporations.\n\n**Long-term vision**\n\nOur end game is to empower corporations manage their own risks like an insurance company does. The most sophisticated buyers already self-insure &gt;90% of their risks through in-house insurance subsidiaries called “Captives”. Largest captives are larger than regional mutual insurers and yet remain underserved by insurance professionals.\n\n**The ask**\n\nWe work with all mid-sized and large companies above $50M with no cap (our biggest lead is a FAANG). Intros to CFOs, Chief Risk Officers or Risk managers would be very appreciated!\n\n**Website: [huscarl.io](http://huscarl.io)**",
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        "created_at": "2026-04-22T05:59:54.448Z"
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    "name": "Edgerun",
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    "long_description": "Edgerun builds military exoskeletons. The first product is a 10-pound hip system that fits over existing kit and doubles a soldier’s range. Since April 2026, Edgerun built over a dozen iterations of their product through continuous field tests with Ukrainian fighters and secured $150M+ in LOIs. Founder David Venegas previously co-founded Durin (autonomous mining robotics) and worked at Stoke Space (at 19) and Hadrian. He is a high-school dropout, state-championship runner, adventure athlete, and pilot. Edgerun is a Y Combinator company backed by General H.R. McMaster, Cyan Banister, Joshua Steinman and Jason Miller. edgerun.com",
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        "full_name": "David Venegas",
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        "title": "Principal Engineer, Embedded Systems",
        "url": "https://www.ycombinator.com/companies/edgerun/jobs/6Pn7CiI-principal-engineer-embedded-systems",
        "location": "Palo Alto, CA, US",
        "type": "Full-time",
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        "role_type": "Embedded systems",
        "salary_range": "$220 - $325",
        "equity_range": "0.75% - 2.00%",
        "experience": "11+ years",
        "visa": "US citizen/visa only",
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        "title": "Mechanical Engineer",
        "url": "https://www.ycombinator.com/companies/edgerun/jobs/ugTXhoh-mechanical-engineer",
        "location": "Palo Alto, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Mechanical",
        "salary_range": "$120 - $180",
        "equity_range": "0.25% - 0.75%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
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          "Design systems"
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        "title": "Electrical Engineer",
        "url": "https://www.ycombinator.com/companies/edgerun/jobs/6YuWGTT-electrical-engineer",
        "location": "Palo Alto, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Electrical",
        "salary_range": "$120 - $180",
        "equity_range": "0.25% - 0.75%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
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      {
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        "title": "Firmware Engineer",
        "url": "https://www.ycombinator.com/companies/edgerun/jobs/0LmpEaM-firmware-engineer",
        "location": "Palo Alto, CA, US",
        "type": "Full-time",
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        "role_type": "Embedded systems",
        "salary_range": "$140 - $190",
        "equity_range": "0.25% - 0.75%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
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          "Firmware"
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        "title": "Software Engineer",
        "url": "https://www.ycombinator.com/companies/edgerun/jobs/U3cSW0r-software-engineer",
        "location": "Palo Alto, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150 - $200",
        "equity_range": "0.25% - 0.75%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
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          "C",
          "C++",
          "Python",
          "Data Warehousing",
          "Data Analytics"
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        "title": "Supply Chain Engineer",
        "url": "https://www.ycombinator.com/companies/edgerun/jobs/Ecz1f6N-supply-chain-engineer",
        "location": "Palo Alto, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Hardware",
        "salary_range": "$110 - $160",
        "equity_range": "0.25% - 0.75%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
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        "id": 112214,
        "title": "Edgerun: The 10 lb Military Exoskeleton",
        "tagline": "Powered exoskeleton that assists every step a soldier takes under combat load",
        "body": "**TL;DR:** Edgerun builds powered legs for soldiers. A 10 lb exoskeleton worn at the waist that adds assistance to every step and cuts the effort of moving under a combat load by 30-45%. Since May, we've run 100+ field tests with Ukrainian operators out of our Kyiv field office.\n\n<https://www.youtube.com/watch?v=nFLeQV2DWMc>\n\n**▍The problem**\n\nEvery system on the modern battlefield has been upgraded. The human carrying it has not.\n\n* For 2,500 years the soldier's load sat around 40 lbs. In the last 40 years it **doubled, then doubled again**.\n* A US infantryman now carries **90-140 lbs** into a fight. The Army's own field manual sets the limit at 48 lbs.\n* On deployment, load carriage causes **twice as many** evacuations as enemy contact.\n* The Pentagon and VA spend **$9.3B a year** on the injuries it leaves behind.\n\nBattles are won through speed and surprise. Load kills both.\n\n**▍Why now**\n\nSixty years of military exoskeletons died the same death. The device cost more to carry than it gave back. SOCOM's TALOS burned $400M before it was cancelled in 2019.\n\nThat all changed in the last 18 months. The humanoid robotics boom produced one-pound actuators that put out 30+ Nm of torque, and 21700 cells crossed 450 Wh/kg. The components finally exist. They’re getting better every quarter.\n\n![uploaded image](/media/?type=post&id=112214&key=user_uploads/1393855/cd255b24-3429-4270-9670-e28fc8df360b)\n\n**▍What we built**\n\nOur first exoskeleton is a bilateral hip system worn at the waist. It reads your gait in real time and adds torque at the moment your hip drives forward. The hip produces about 60% of the force in loaded walking, so assisting it gives the most help-per-pound of anything you could strap to the body.\n\n* Under 10 lbs with batteries\n* 30-45% less metabolic cost under a combat load\n* On in 5 seconds, off in one\n* 12+ hours on hot-swappable drone-class batteries\n* Quasi-direct-drive actuators, composite structures, CAN bus. Nothing exotic by design.\n\nThe soldier arrives at the objective still able to fight, patrols 10 km farther, and keeps a body that lasts past one tour.\n\n![uploaded image](/media/?type=post&id=112214&key=user_uploads/1393855/94bf48a9-0ba6-4ce7-94a2-f467cae9657c)\n\n![uploaded image](/media/?type=post&id=112214&key=user_uploads/1393855/883d1e98-900a-420a-b7ff-e56cc8911c0c)\n\n**▍Ukraine**\n\nOur field engineers work out of a Kyiv office, alongside operators from infantry, special operations, and National Guard units who provide structured feedback every day. [Balistyka](https://balistyka.ua/), one of Ukraine's leading body armor makers, is an integration partner, helping us ensure our system fits the kit soldiers already wear.\n\n![uploaded image](/media/?type=post&id=112214&key=user_uploads/1393855/89a30d39-fe11-421c-abe7-32961da8d1bd)\n\n**▍The mission**\n\nDefense is the first customer, not the last. Read the mission at edgerun.com/mission",
        "url": "https://www.ycombinator.com/launches/TBu-edgerun-the-10-lb-military-exoskeleton",
        "votes": 7,
        "created_at": "2026-08-25T16:19:00.453Z"
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    "id": 31584,
    "name": "CONUS",
    "slug": "conus",
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    "website": "https://www.conus-med.com",
    "all_locations": "Cologne, NRW, Germany",
    "long_description": "CONUS structures fragmented medical device information for surgeons. We combine manufacturer documentation, hospital protocols and medical research in one place, giving surgeons and MedTech teams reliable answers across products and procedures.\r\n\r\nWe already work with leading manufacturers including Johnson & Johnson, Stryker and Zimmer Biomet, and since launching six months ago we’ve gone live in 20 hospitals.\r\n\r\nLong term, hospitals will use CONUS to select and order implants across manufacturers.",
    "one_liner": "The AI knowledge layer for medical devices",
    "team_size": 3,
    "industry": "Healthcare",
    "subindustry": "Healthcare",
    "launched_at": 1790675017,
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    "batch": "Fall 2026",
    "status": "Active",
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    "regions": [
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      "Europe"
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    "stage": "Early",
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        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "CONUS started with five chief orthopedic and trauma surgeons who wanted better access to the information their teams need every day. The three of us had already worked together for years, combining backgrounds in AI, biomedical engineering and product development."
      },
      {
        "question": "How did you decide to apply to Y Combinator? What was your experience applying, going through the batch, and fundraising at demo day?",
        "answer": "We met Tom Blomfield at a YC event at ETH Zurich, where he convinced us we were thinking too small about CONUS. That conversation set us on the path to building it full time and applying to YC."
      },
      {
        "question": "What's the history of your company from getting started until the present day? What were the big inflection points?",
        "answer": "We started by bringing surgical information into one platform, then added CONUS Intelligence. Today, we’re live in 20 European hospitals, work with manufacturers including Stryker and Zimmer Biomet, and are expanding into the US."
      },
      {
        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "Medical device knowledge is scattered across manufacturer PDFs, portals and hospital systems, leaving clinicians and field teams searching disconnected sources or calling someone who knows. As product portfolios and hospital-specific protocols multiply, finding reliable answers becomes harder for both the people using devices and the companies supporting them."
      },
      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "We want CONUS to become the knowledge infrastructure connecting medical device companies and clinical teams worldwide. Reliable product and clinical knowledge should be available in seconds, across specialties and wherever people work."
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      "url": "https://www.ycombinator.com/people/grey-baker"
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        "full_name": "Vincent Paffrath",
        "title": "Founder/CEO",
        "founder_bio": "Former PhD researcher on generative and agentic AI with ETH Zurich. Part of the core team driving GenAI adoption across Bosch, from strategy to company-wide rollout. Previously in healthcare strategy consulting.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/vincent-paffrath",
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        "full_name": "Maximilian Becker",
        "title": "Founder/CPO",
        "founder_bio": "Industrial engineer and former AI researcher at ETH Zurich. Joined Cleansort as engineer #10 and helped scale it from prototype-stage startup to 50+ employees, building across hardware, manufacturing and automation software.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/maximilian-becker-koeln/",
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        "full_name": "Alexander Schulz",
        "title": "Founder/CTO",
        "founder_bio": "Electrical engineer from RWTH Aachen, Germany. Built high-speed electronics and embedded software for biomedical instruments at Miltenyi Biotec, one of Europe’s largest biotech companies scaled to 5,000+ employees.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/alexander-schulz-k%C3%B6ln/",
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        "id": 95195,
        "title": "Senior Backend Engineer, AI & Data Platform",
        "url": "https://www.ycombinator.com/companies/conus/jobs/317A0Hm-senior-backend-engineer-ai-data-platform",
        "location": "Cologne, NRW, DE",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "€80K - €150K EUR",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizenship/visa not required",
        "skills": [
          "Django",
          "Python",
          "SQL",
          "Docker"
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      },
      {
        "id": 112709,
        "title": "Senior Frontend Engineer, Product & UX",
        "url": "https://www.ycombinator.com/companies/conus/jobs/iJWPsUM-senior-frontend-engineer-product-ux",
        "location": "Cologne, NRW, DE",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Frontend",
        "salary_range": "€80K - €150K EUR",
        "equity_range": "",
        "experience": "6+ years",
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        "id": 121625,
        "title": "CONUS: The AI Knowledge Layer for Medical Devices",
        "tagline": "We structure fragmented medical device information for surgeons.",
        "body": "## **Surgery is complex. Finding answers shouldn't be.**\n\nModern surgery relies on complex implants and instruments. But manufacturer instructions, surgical techniques and hospital protocols are scattered across PDFs, portals and disconnected systems.\n\nFor a single procedure, surgeons may need to navigate multiple sources just to find the relevant information.\n\nThe knowledge exists. It just has no common home.\n\n## How CONUS works\n\nCONUS brings medical device knowledge into one place.\n\nSurgeons can select a procedure, see which implant systems are available at their hospital and access manufacturer instructions, surgical techniques and hospital protocols.\n\n![uploaded image](/media/?type=post&id=121625&key=user_uploads/3347806/fc56290e-fa4c-43ed-9c68-91b22dda1023)\n\n**For medical device manufacturers,** CONUS provides a shared platform to make their product knowledge accessible to surgeons and equip field teams with structured information across their portfolios.\n\n![uploaded image](/media/?type=post&id=121625&key=user_uploads/3347806/cfed0a0f-70fa-4f07-9402-4f8c90c298c8)\n\n**CONUS Intelligence** makes this structured knowledge accessible through AI, providing answers backed by citations to the original sources.\n\n![uploaded image](/media/?type=post&id=121625&key=user_uploads/3347806/67343f3b-d56a-4d11-9684-76ed1186352f)\n\n## Built with surgeons. Growing with the industry.\n\n**Developed with five chief surgeons**, CONUS is already live in more than 20 European hospitals just six months after launch and works with manufacturers including Stryker, B. Braun and many more.\n\nWe're building a growing, structured knowledge base across medical device portfolios, combining manufacturer information with hospital-specific systems and protocols.\n\nAnd we're just getting started. Over time, we want this foundation to support how hospitals discover, evaluate and access medical devices across manufacturers.\n\n## Our ask\n\nWe're now expanding into the US and would love to connect with medical device companies, particularly people in Sales, Marketing, Product and Field Service, as well as orthopedic surgeons and hospital leaders.\n\nIf you work in this space or know someone we should meet, we'd appreciate an introduction.\n\n[https://conus-med.com](https://www.conus-med.com/)\\\n[vincent.paffrath@conus-med.com](mailto:vincent.paffrath@conus-med.com)",
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        "full_name": "Marcus Lima",
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        "body": "**TL;DR** Torus is Legora for physical engineering firms\n\nWe make engineering design better. Our customers are using Torus to generate complete engineering packages and artifacts including complex engineering diagrams across disciplines. This dramatically cuts engineering cost, and timelines. \n\n![uploaded image](/media/?type=post&id=114335&key=user_uploads/554410/77f6d39c-d4dd-40d5-9c3d-af74b6daa8d9)\n\nInfrastructure projects spend months or years just on engineering. Every week of schedule compression on billion dollar infrastructure projects is worth millions. \n\nWe’re working with major EPCs and infrastructure owners across the US, helping them cut months long engineering timelines down to days. AI is fundamentally transforming how physical engineering is done, and Torus is delivering this to customers. We’re doing to physical enmgineering what Cursor did to software engineering. \n\n![uploaded image](/media/?type=post&id=114335&key=user_uploads/554410/0118fdd5-ef91-4497-9f28-858e4a6c0b77)\n\nMarcus Lima, CEO. Founded Heimdal (YC S21), raised $12M+ including Sam Altman and Marc Benioff, and built the world's largest carbon capture plant of its kind, working directly with EPCs for years. He lived the pain of slow and expensive engineering.\n\nRahul Thayil, CTO. Founded Orion, raised $4M+, and spent 10+ years building real-time anomaly detection over messy physical data.\n\nBest friends for 13 years, lived together for 5. One of us built the infrastructure; the other built the intelligence over its data. Torus is both, fused.\n\n**Our ask**\n\n* **We're hiring founding engineers (SF, in person).** We're based in SF and work in person, and we forward-deploy to our customers in Kansas City, Tulsa, Houston, and wherever the projects are. We’re hiring every type of engineer, software, mechanical, electrical, process. If you’re an engineer interested in building massive infrastructure we want to work with you.\n* **Intros to infra owners / engineering firms** the companies that build out infrastructure (midstream, power, utilities, data center developers, industrial operators, O&amp;G). Anyone scaling capacity who feels the engineering crunch.",
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        "location": "Stockholm, Stockholm County, SE",
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        "title": "Pango: E-commerce operations on autopilot.",
        "tagline": "Why can't e-commerce companies scale like tech companies?",
        "body": "tl;dr: Why can't e-commerce companies scale like tech companies? And how we might be able to change that.\n\nWe spent 12 months embedded in the operations of 30 e-commerce brands\\! Here’s what we learnt:\n\n![uploaded image](/media/?type=post&id=107204&key=user_uploads/3288698/1a3cc8c3-db71-4d81-b2ad-9679b77f9451)\n\n**What we saw:** Each company had a unique operational setup with a mix of 5 to 7 tools glued together to run the shop. To keep all these tools running smoothly with each other, it requires a lot of tedious admin. As a result, headcount increases as the company scales.\n\nMost companies couldn't even automate a basic return processing, let alone offer exchanging items or build an AI agent to approve returns or send shipping label to the customer.\n\nExpansion made it worse: more countries and/or SKUs = exponentially more problems.\n\n**What we built:** We have built an agentic OS for e-commerce: You connect your shop stack, then describe how you want to handle shipments, returns, refunds, or claims → Pango builds the return portal, fixes the delivery options, and builds a customer service process and agent for you.\n\n![uploaded image](/media/?type=post&id=107204&key=user_uploads/3288698/ceed8a01-52aa-403a-9986-758da64ff4e4)\n\n**Result:** So far we have managed to automate 99% of returns and shipping operations, reduce operation costs by 20% and sign 30 global brands.\n\nAsk\n\nIntros to:\n\n- Agencies (Shopify/e-commerce)\n- Brands in fashion, beauty, home.\n- Forwardable: \"Pango runs everything after checkout: tracking, returns, and exchanges in one platform. Demo: <https://pango.ai/book-demo>\" Or book us directly: <https://pango.ai/book-demo> Or just email me if you are intrested: <Steve@pango.ai>\n",
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        "title": "HERA: catches thousand-dollar drawing mistakes before the shop floor.",
        "tagline": "Hera reviews every drawing against your factory's own standards and the ASME code, catching expensive mistakes and preventing rework 10x faster than manual review.",
        "body": "**TL;DR: Every custom metal part starts as a drawing, and every drawing gets checked by hand before anyone builds it. Hera does that check in minutes instead of a full day, and catches the mistakes that turn into scrapped parts.**\n\n[**https://youtu.be/J_5NRjkou3Y**](https://youtu.be/J_5NRjkou3Y)\n\n**The Problem**\n\nCustom mechanical parts run on 2D drawings. Whether you're an OEM releasing drawings to suppliers, or an aerospace supplier answering to source inspection, every drawing has to be checked against ASME/ISO standards and GD&amp;T requirements before it goes anywhere near a machine.\n\nRight now, that review is done by hand, and usually by the most senior engineer in the building. And a single missed tolerance callout or an ambiguous datum reference can mean a scrapped part, a blown schedule, or a shipment that fails inspection.\n\nWe heard the same story from a pressure vessel fabricator, a semiconductor tooling shop, and a medical device manufacturer: reviews take days. This isn't because the work is hard. There's simply no good way to do it faster without cutting corners, and nobody cuts corners on a drawing that could scrap a $40,000 part.\n\n**Our Solution**\n\nHera is a brain for manufacturing. Any real advance in manufacturing has to be grounded in two things: the standards parts are held to and the reality of the shop floor. So that's what we built Hera on.\n\nUpload a drawing and Hera checks GD&amp;T callouts, tolerance stack ups, and title block requirements against ASME Y14.5, relevant ISO standards, and your own design intent. The result is a drawing your shop can build right the first time, without the delays and rework that eat margins. Every review also makes Hera more valuable, creating a system of record for drawing errors that helps teams build better models for engineering processes.\n\n**While the current review takes days, Hera takes minutes… and gets better by the drawing.**\n\n**Us**\n\n**Noelle** grew up in an industrial park her family runs in the Philippines and has been on factory floors her whole life. At 19, she built a water-treatment facility that added 40 L/s of capacity to the park. \n\n**Meera** has spent years around manufacturing: at her family's plants, and on projects at Pfizer and TE Connectivity, where she built a SOTA discrete-event simulation. She taught herself PLC programming and C++, and has published ML research at UW.\n\nWe actually met on a bus to a factory tour, and have been best friends ever since!\n\n![uploaded image](/media/?type=post&id=107030&key=user_uploads/3352287/d05e9e1a-57c8-4e43-91d7-75e42a004261)\n\n**Our Ask** If you run or work at a factory (aerospace, semiconductor, medical device, pressure vessel, or custom machinery), we want to visit you! If you invite us out to see your shop, we’ll come by in person and bring you a **customized Hera Swiss Army knife**.\n\nReach out to us at [**founders@manufacturingintelligence.org**](mailto:founders@manufacturingintelligence.org).",
        "url": "https://www.ycombinator.com/launches/RqI-hera-catches-thousand-dollar-drawing-mistakes-before-the-shop-floor",
        "votes": 138,
        "created_at": "2026-07-24T15:18:23.996Z"
      }
    ]
  },
  {
    "id": 32134,
    "name": "Parasma",
    "slug": "parasma",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/65a63b540239ee3a5538326d626bcceee19f52d9.png",
    "website": "https://parasma.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We train human brain cells for compute",
    "one_liner": "Replacing GPUs with human brain cells",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1782285260,
    "tags": [
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      "Neurotechnology",
      "AI"
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    "isHiring": true,
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    "batch": "Summer 2026",
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    "regions": [
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      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/parasma",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/parasma.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/parasma",
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    "primary_partner": {
      "name": "Tyler Bosmeny",
      "url": "https://www.ycombinator.com/people/tyler-bosmeny"
    },
    "founders": [
      {
        "user_id": 3388159,
        "full_name": "Sean Cole",
        "title": "Founder/CEO",
        "founder_bio": "Founder at Parasma (YC S26)\n\nSkipped BS, MS in Artificial Intelligence w/ Distinction",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/sean-cole-8985a4207/",
        "x_url": "https://x.com/vytalow",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6f2d0bdfcf98a7f2843ea62be9a5893871caf196.jpg"
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    ],
    "jobs": [
      {
        "id": 98189,
        "title": "Founding Scientist",
        "url": "https://www.ycombinator.com/companies/parasma/jobs/Vg7GVVl-founding-scientist",
        "location": "San Francisco, CA, US / Remote",
        "type": "Full-time",
        "role": "Science",
        "role_type": "Research",
        "salary_range": "$1M",
        "equity_range": "1.00% - 3.00%",
        "experience": "11+ years",
        "visa": "Will sponsor",
        "skills": []
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    ],
    "news": [],
    "launches": [
      {
        "id": 109992,
        "title": "Parasma: Training human brain cells for compute",
        "tagline": "In March, we trained them to play Doom; now we got them to do next-token prediction.",
        "body": "We train human brain cells for compute. In March, we trained them to play Doom; now we got them to do next-token prediction.\n\n![uploaded image](/media/?type=post&id=109992&key=user_uploads/3388159/cbefdb79-ad5b-4e03-ae35-d2a482a05351)\n\n![uploaded image](/media/?type=post&id=109992&key=user_uploads/3388159/ce53a90f-7180-4eab-b23e-d770a5e375a7)\n\n**The Problem**\n\nModern models require enormous amounts of energy and training data, while still struggling with continual learning and adapting efficiently to new tasks. Biological brains solve these problems very differently. They learn continuously, adapt from limited experience, and operate on roughly the power of a light bulb.\\\n\\\n**Solution**\n\nParasma is developing the algorithms and infrastructure needed to turn human brain cells into useful compute. The human brain is the most capable and energy-efficient learning system we know. Our goal is to reliably train biological substrates and use them for general computation, robotics, and eventually direct biological training. In March, we trained human brain cells to play Doom, which got hundreds of millions of views across social media. Since then, we’ve been working toward more general tasks. Most recently, we got the cells to perform token prediction: given a sequence of tokens converted to electrical stimuli, the neurons learn to predict what comes next with no GPU.\n\nLong-term, biological compute will offer orders-of-magnitude improvements in energy and sample efficiency, while enabling native continual learning.\n\n**Team**\n\nI previously worked on neuromorphic computing and reinforcement learning during my master’s.\n\nBefore that, I built a successful digital-item marketplace with > $1.7M of listed goods and played games professionally.\\\n\\\nCheck out our press release here:\\\n<https://parasma.com/news/human-brain-cells-do-next-token-prediction>",
        "url": "https://www.ycombinator.com/launches/Sc4-parasma-training-human-brain-cells-for-compute",
        "votes": 10,
        "created_at": "2026-08-13T20:30:00.164Z"
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  },
  {
    "id": 32155,
    "name": "Rex",
    "slug": "rex-inc",
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    "website": "https://www.rex.inc",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Rex is an AI-native service for order to cash. Rex replaces manual operations with AI agents that continuously manage invoices, customers and exceptions.\r\n\r\nOrder to cash is a $60B outsourced function because the work is too messy for traditional automation. Every customer has different context, exceptions do not follow clean rules, and the next step is often buried in emails, portals, handoffs, or someone’s memory. Rex agents run continuously in the background and resolve work to SLA standards so cash keeps moving. We're live with pre-IPO tech companies, managing  >$500m in receivables from F100 companies, cutting manual follow-up cycles from weeks to hours.\r\n\r\nWe founded Rex after spending four years building Sequence, an a16z-backed finance ops platform, from zero to Series A — where we saw firsthand that at-scale, O2C still runs on manual labour.\r\n\r\nRex is the #1 winner of the Vercel AI Accelerator out of 2,500 teams, selected by Guillermo Rauch and leaders from OpenAI, Anthropic, Browserbase and more.",
    "one_liner": "AI-native BPO for enterprise order-to-cash",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Finance and Accounting",
    "launched_at": 1779903831,
    "tags": [
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      "Enterprise",
      "Enterprise Software",
      "AI"
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    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
    "industries": [
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      "Finance and Accounting"
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/rex-inc",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/rex-inc.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/rex-ai-inc/",
    "x_url": "https://x.com/rexdotinc",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b14c16514ac7654483b96e54e1bf49a45714e8f6.png",
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    ],
    "primary_partner": {
      "name": "Vivian Midha Shen",
      "url": "https://www.ycombinator.com/people/vivian-midha%20shen"
    },
    "founders": [
      {
        "user_id": 466573,
        "full_name": "Merlin Kafka",
        "title": "Founder/CEO",
        "founder_bio": "Merlin is the Founder and CEO of Rex, the AI partner for enterprise order-to-cash.\n\nHe spent 4 years as CPO at Sequence (a16z-backed), an order-to-cash platform where he grew the company to 100+ customers. He has deep domain expertise in order to cash and accounts receivable workflows -- the exact space Rex is transforming with AI.\n\nPreviously a PM at Tessian (Sequoia-backed, acquired in 2023). Studied Industrial Engineering in Cambridge and Product Design in Glasgow.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/merlinkafka/",
        "x_url": "http://x.com/merlinkafka",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/47ef8bf61952f3ecae050d622d963369e205daa4.jpg"
      },
      {
        "user_id": 173279,
        "full_name": "Lewis Blackwood",
        "title": "Founder/CTO",
        "founder_bio": "Founder and CTO at Rex, building the AI partner for enterprise order to cash.\n\nPreviously:\n- Founding engineer at Sequence (backed by a16z)\n- Cofounded Personably (backed by Global Founders Capital)\n- Early team at GoCardless (YC S11)\n- Economics at Cambridge",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/lewisblackwood",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2619bd1bf4df714f4e821b2c1ba6a7c28caafede.jpg"
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    ],
    "jobs": [
      {
        "id": 113085,
        "title": "Founding AI Engineer (Enterprise Finance Operations)",
        "url": "https://www.ycombinator.com/companies/rex-inc/jobs/z3eroAv-founding-ai-engineer-enterprise-finance-operations",
        "location": "London, England, GB",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "AI engineer",
        "salary_range": "$150K - $250K",
        "equity_range": "0.10% - 1.00%",
        "experience": "1+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 113092,
        "title": "Finance Operator in Residence (Order-to-cash)",
        "url": "https://www.ycombinator.com/companies/rex-inc/jobs/87h0X9A-finance-operator-in-residence-order-to-cash",
        "location": "London, England, GB",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$60K - $120K",
        "equity_range": "0.10% - 0.50%",
        "experience": "1+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
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    ],
    "news": [
      {
        "title": "Rex in Forbes | What Y Combinator's Latest Batch Reveals About The Future",
        "url": "https://www.forbes.com/sites/dariashunina/2026/06/04/what-y-combinators-latest-batch-reveals-about-the-future/",
        "date": "Sep 03, 2026"
      },
      {
        "title": "How Rex automates order-to-cash for finance teams",
        "url": "https://www.braintrust.dev/customers/rex",
        "date": "Aug 26, 2026"
      },
      {
        "title": "How Rex went from zero to enterprise ready in weeks with WorkOS",
        "url": "https://workos.com/blog/how-rex-went-from-zero-to-enterprise-ready-in-weeks",
        "date": "Jul 01, 2026"
      },
      {
        "title": "Rex wins Vercel's AI Accelerator out of 2500 teams",
        "url": "https://vercel.com/blog/2026-vercel-ai-accelerator-recap",
        "date": "Apr 28, 2026"
      }
    ],
    "launches": [
      {
        "id": 107722,
        "title": "Rex: Turn enterprise order-to-cash into an autonomous operation",
        "tagline": "AI Operations Partner for Enterprise Order to Cash",
        "body": "Rex is an AI service that runs order-to-cash and accounts receivable operations for enterprises. Founders [Merlin Kafka](https://www.linkedin.com/in/merlinkafka/) and [Lewis Blackwood](https://www.linkedin.com/in/lewisblackwood) spent 4 years at an a16z-backed startup helping finance teams at startups like Cognition, Legora and Bridge automate revenue collection. The problem is 100x bigger in the enterprise, so they built Rex: agents that do the work end-to-end. Live in production with Synthesia.\n\n<https://www.youtube.com/watch?v=BKS7qaZS8Is>\n\n**Revenue ≠ cash**\n\nEnterprises invoice customers, then spend months chasing the money through email chains, PDFs and ancient web portals. A $1M invoice sits unpaid because one PO number didn't match.\n\nMultiply that across thousands of customers and you get 100+ person teams, often offshore, doing this by hand: collections, invoice submission, dispute resolution, deduction management, cash application. Order-to-cash is the most outsourced process in finance because the work needs judgment. Reading a customer's email and deciding whether their dispute is valid. Working out which of 14 open invoices a lump-sum payment covers. Knowing that this account always pays late but always pays, and that one needs escalating now.\n\nAR automation software has existed for 20 years and the teams never got smaller, because the tools organise the work while people still do it. Businesses invoice each other tens of trillions of dollars a year; the labour and outsourcing spend on collecting it is over $100B. Until now the only way to scale was headcount or a BPO contract.\n\n**What Rex does**\n\nRex connects to the ERP (NetSuite, SAP, Oracle), CRM (Salesforce), billing system and shared AR inbox, and learns how the team runs the process today. That knowledge becomes editable agent operating procedures: how to chase a Fortune 500 buyer vs a startup, which deductions get investigated vs written off, when a dispute goes to a human.\n\nThen agents run those procedures across thousands of accounts in parallel:\n\n* Collections and payment follow-ups, including the long tail no team gets to\n* Invoice submission and status tracking inside procurement portals (SAP Ariba, Coupa, Tungsten and hundreds of others)\n* Dispute and deduction investigation\n* Remittance processing and cash application\n* Responding to customer finance emails\n* Updating ERP, CRM and billing records\n* Routing exceptions to the team for approval\n\nPortals deserve a special mention: an increasing share of enterprise invoices must be submitted and tracked inside the buyer's procurement system. It's the work AR teams hate most and the work software vendors ignore. Rex treats it as core.\n\n**Is Rex a managed service or software?**\n\nEnterprises can partner with Rex as a managed service provider or let their team operate Rex. AR software (dunning tools, collections worklists, AR dashboards) organises work for a team to do. Rex agents do the work, and the finance team approves exceptions. With Rex, the team stops drowning in routine chasing and handles the judgment calls. Customers compare Rex to their next AR hire, their offshore team, or their BPO contract.\n\n**Can finance teams trust AI agents with collections?**\n\nAutonomy is earned, not switched on. Each procedure starts supervised: Rex proposes, the team approves. Once a procedure hits its accuracy bar for the account, it graduates and runs autonomously. Safe, high-volume work goes first; judgment-heavy edges stay gated as long as the team wants. Every action is logged with its full reasoning, so finance audits the system instead of babysitting it.\n\n**Traction**\n\n[Rex is live in production with enterprises like Synthesia](https://www.rex.inc/customers/synthesia), running collections, portal submissions, inbox triage and cash application. Cases that used to take weeks of back and forth resolve in minutes.\n\n**Get in touch**\n\nIf invoice volume is outgrowing the finance team, or order-to-cash runs on offshore headcount or a BPO contract, get in touch: [rex.inc](http://rex.inc)\n\n![uploaded image](/media/?type=post&id=107722&key=user_uploads/466573/80aa1a0e-383d-43f5-93b4-4a97d086d306)\n\n",
        "url": "https://www.ycombinator.com/launches/S1S-rex-turn-enterprise-order-to-cash-into-an-autonomous-operation",
        "votes": 11,
        "created_at": "2026-07-27T18:08:15.052Z"
      }
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  },
  {
    "id": 32168,
    "name": "Synapse Semiconductor",
    "slug": "synapse-semiconductor",
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    "website": "https://synapsesemi.org",
    "all_locations": "Durham, NC, USA",
    "long_description": "We want to push machines to where humans cant go. \r\nPresidential early career award winning Duke Semiconductor ECE Faculty Tania Roy and Sanjeev Chauhan are building a frontier semiconductor research lab. Their focus is on solving physical AI challenges from the semiconductor device level and building products around the moat of impossible to copy innovation. Their first work is on a new vision sensor that can run neural network filters right in the camera pixels and only collect data that machines care about. As physical AI develops, machines needs to understand the world around them if they aim to interact with them.\r\n",
    "one_liner": "New semiconductors that merge compute and vision",
    "team_size": 2,
    "industry": "Industrials",
    "subindustry": "Industrials",
    "launched_at": 1785109099,
    "tags": [
      "Edge Computing Semiconductors",
      "Hard Tech",
      "Robotics",
      "Defense",
      "AI"
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    "top_company": false,
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    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
    "industries": [
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/synapse-semiconductor",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/synapse-semiconductor.json",
    "year_founded": null,
    "city": "Durham",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/synapse-semiconductor/",
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/37650fbbc73ea1ea0b895fd819e93836825d1520.png",
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    "primary_partner": {
      "name": "Tyler Bosmeny",
      "url": "https://www.ycombinator.com/people/tyler-bosmeny"
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    "founders": [
      {
        "user_id": 1383306,
        "full_name": "Sanjeev Chauhan",
        "title": "Founder/CEO",
        "founder_bio": "I like to break things and build things\n\n2 IEDM publications, 3 years Seed Stage VC, scaled deaplearning.com to 300k users, Stanford Linear Accelerator National Lab ML Researcher, IPAC 1st Author",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/sanjeev-one",
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      },
      {
        "user_id": 3682345,
        "full_name": "Tania Roy",
        "title": "Founder",
        "founder_bio": "Academic by profession, entrepreneur by nature. Love to control the user interface to reality.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/tania-roy-ba272b24/",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/22e5f2656b361e2b88271fcd468b9cc08d0ba91f.jpg"
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    ],
    "jobs": [
      {
        "id": 106484,
        "title": "Founding Engineer - RETINA",
        "url": "https://www.ycombinator.com/companies/synapse-semiconductor/jobs/T7HUC4J-founding-engineer-retina",
        "location": "San Francisco, CA, US / Durham, NC, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Electrical",
        "salary_range": "$1M",
        "equity_range": "10.00%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Verilog",
          "VHDL",
          "Computer Vision"
        ]
      }
    ],
    "news": [
      {
        "title": "Duke ECE Hardware Startup Selected for Y Combinator | Duke Pratt School of Engineering",
        "url": "https://pratt.duke.edu/news/synapse-semiconductor-y-combinator/",
        "date": "Jun 08, 2026"
      }
    ],
    "launches": [
      {
        "id": 107691,
        "title": "Synapse Semiconductor: We put a neural network inside the camera pixel.",
        "tagline": "Semiconductors to push machines where humans cant go.",
        "body": "<https://youtu.be/oHKXAeiH79Y>\n\n**TLDR:** Synapse Semiconductor builds image sensors that process **AI on the sensor** itself. Each pixel captures light and runs neural-network computation in the same device, replacing the need for a GPU while cutting the power and latency of edge vision.\\\n\\\n\\\nA camera has no use by itself. Its value is only when its information gets evaluated. How can a camera that only has value when combined with a GPU support local intelligence? GPUs will get better, yet the fundamental problem is the separation of the camera and the GPU. Solving that separation will unlock bountiful innovation in machine perception. \n\n**RETINA: a chip designed like the human retina which runs neural network operations in the camera pixel.** \n\n\\\nWe have compressed the whole edge AI vision hardware stack into **one wafer**. CNNS, VLMS, etc can run on just one chip that senses light. Our compute transistors are also the same photosensors that see light. There is no longer separation between compute (Nvidia Jetson Nano) and a camera (RealSense Depth Camera). \\\n\\\nIf you are building robotic perception, drones, and vision systems for physical AI —> [book.synapsesemi.org](http://book.synapsesemi.org)\n\n![uploaded image](/media/?type=post&id=107691&key=user_uploads/1383306/bfa2012d-1c74-47b5-bdad-3127e94cd8bf)\n\n",
        "url": "https://www.ycombinator.com/launches/S0x-synapse-semiconductor-we-put-a-neural-network-inside-the-camera-pixel",
        "votes": 57,
        "created_at": "2026-07-27T03:40:58.979Z"
      }
    ]
  },
  {
    "id": 32171,
    "name": "LemonLime",
    "slug": "lemonlime",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8ffbde2e695962be35fad4bb6260c320a8d18271.png",
    "website": "https://www.lemonlime.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "LemonLime runs fully automated sales and marketing for small businesses.\r\n\r\nEvery morning, LemonLime finds you new leads and drafts personalized outreach, prepares branded content, and identifies untapped sales & marketing opportunities.\r\n\r\nAll you have to do is click send.",
    "one_liner": "Fully automated GTM for small business",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1783367890,
    "tags": [
      "SaaS",
      "Sales",
      "Marketing",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/lemonlime",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/lemonlime.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/lemonlime-ai/",
    "x_url": "http://x.com/lemonlime",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/lemonlime",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8ffbde2e695962be35fad4bb6260c320a8d18271.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
    },
    "founders": [
      {
        "user_id": 3669391,
        "full_name": "Jordan Zietz",
        "title": "Founder/CEO",
        "founder_bio": "Run fully automated sales and marketing, no work required  → lemonlime.com\nFormer CEO/Founder in social, scaling and distributing consumer apps.\nThe 44th Stanford Tree – yes, the one that got suspended.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jordan-zietz",
        "x_url": "https://x.com/jordna",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d6333e91c22d13f305beff908c0fdce4e240b39d.jpg"
      },
      {
        "user_id": 3671976,
        "full_name": "Daniela Muñoz",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder & CTO of LemonLime, fully automated GTM for small business. \nPreviously co-founded Confetti, an AI-native social platform. Former SWE intern at Google and Microsoft. Dual BS in CS and HCI from Carnegie Mellon.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/danielamunoz12/",
        "x_url": "https://x.com/dani__munoz",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3116f1d883b3f5928512d22881999fc38d65f32e.jpg"
      }
    ],
    "jobs": [
      {
        "id": 94768,
        "title": "AI Engineer",
        "url": "https://www.ycombinator.com/companies/lemonlime/jobs/odgsmPB-ai-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$100K - $120K",
        "equity_range": "0.50%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
          "AI Agents",
          "Multimodal AI"
        ]
      },
      {
        "id": 109541,
        "title": "Growth",
        "url": "https://www.ycombinator.com/companies/lemonlime/jobs/qeSCOOz-growth",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$90K - $120K",
        "equity_range": "0.50%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 104861,
        "title": "LemonLime – Automate your workflows with a single click",
        "tagline": "AI that learns your business and self-creates automations, without writing a single line of code.",
        "body": "Hey everyone! We're [Jordan](https://www.linkedin.com/in/jordan-zietz/) and [Daniela](https://www.linkedin.com/in/danielamunoz12/), founders of LemonLime.\n\n**TL;DR**\n\nMost companies don't have the time or technical expertise to build custom AI automations. LemonLime connects to your existing tools, studies your business, and builds specialized automations for you — actual outcomes, fast.\n\n<https://youtu.be/aFcB1fJhPmY>\n\n**The problem**\n\nEvery small business knows they should be \"using AI,\" but almost none of them can. We learned this firsthand doing custom AI consulting for businesses. After building workflows for a handful of customers, two things immediately became obvious:\n\n1. The context AI needs to succeed is scattered — files, documents, chat threads, you name it. Searching for and organizing this information was 95% of the work, every single time.\n2. Companies don't want to spend weeks learning another complicated new tool. That's a huge ask for busy teams.\n\nSmall businesses need impact out-of-the-box, they don’t have the time or capital to spend on fancy AI initiatives that aren’t creating value from day one.\n\n**Our solution**\n\nSince company information is all over the place, we started by building the layer underneath that powers AI search and retrieval. If you’ve heard the term “company brain”, that’s what this first layer is. \n\n![uploaded image](/media/?type=post&id=104861&key=user_uploads/3669391/f4cccbb6-1c98-4e2d-a37e-0d4603f8e3e5)\n\nThen, we took it a step further.  Value from day one.  \n\nAfter your company’s unique knowledge architecture is built, users can use plain-language to deploy agents and automations that support their business without writing a single line of code.  You tell it what you want automated, LemonLime automates it.  It’s that easy.\n\nDon’t know where to start?  No worries, LemonLime handles that, too. After running deep research on your business, LemonLime automatically surfaces suggested automations that you can implement with a single click.  \n\n![uploaded image](/media/?type=post&id=104861&key=user_uploads/3669391/cdca4a15-4d2b-4807-9014-51ad700dbeb0)\n\n\n**If you’re a small business, let’s talk &lt;3**\n\nDon't have time to handle automating your sales, marketing, support, or something else? **We’ll set it up for you.** Email us at [hello@lemonlime.ai](mailto:hello@lemonlime.ai).\n\n\\\nOr, visit our website to get started: [lemonlime.ai](http://lemonlime.ai)\n\n![uploaded image](/media/?type=post&id=104861&key=user_uploads/3669391/84c1c154-5f99-4a95-82dc-d5031894ba8c)\n\n",
        "url": "https://www.ycombinator.com/launches/RHJ-lemonlime-automate-your-workflows-with-a-single-click",
        "votes": 12,
        "created_at": "2026-07-08T16:25:19.821Z"
      }
    ]
  },
  {
    "id": 32188,
    "name": "IMPACT Drones",
    "slug": "impact-drones",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c7df3a5c9dfd6e7d9865e24f95f172c997a7183b.png",
    "website": "https://www.impact-drones.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "IMPACT builds autonomous interceptor drones that ship in sealed containers. The box sits at the site it protects, data centers, power grids, airports, bases, with no crew on the pad. When sensors cue a hostile drone, an interceptor pierces its own frangible lid, launches, and rams the target, guided by onboard vision that keeps working when GPS is jammed. Legacy effectors cost $1M+ per shot against $30k threats; ours cost less than the threat and scale with the swarm, the same class of interceptor already downing Shahed drones over Ukraine. Sites subscribe to protection instead of buying missiles, hardware, reloads and monitoring included: Air Defense as a Service. 180M+ USD in signed letters of intent.",
    "one_liner": "Air Defense as a Service for Civilian Infrastructure.",
    "team_size": 2,
    "industry": "Industrials",
    "subindustry": "Industrials -> Defense",
    "launched_at": 1785702345,
    "tags": [
      "Hardware",
      "Drones",
      "Swarm Robotics",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
    "industries": [
      "Industrials",
      "Defense"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/impact-drones",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/impact-drones.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/impactdrones",
    "x_url": "https://x.com/impactdrones",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c7df3a5c9dfd6e7d9865e24f95f172c997a7183b.png",
    "app_video_url": null,
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    "company_photos": [],
    "primary_partner": {
      "name": "Tyler Bosmeny",
      "url": "https://www.ycombinator.com/people/tyler-bosmeny"
    },
    "founders": [
      {
        "user_id": 3245067,
        "full_name": "Jasper Lortije",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder & CEO, Impact Drones. Aerospace engineer (MSc, TU Delft), over a decade building drones. Built the VTOL drone that won the Hannover Messe VTOL competition. Worked alongside special forces on the counter-drone security plan for the 2025 NATO Summit, protecting heads of state including President Trump.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jasper-l/",
        "x_url": "https://x.com/JasperLort",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a658fea832c15f888808bdf1131fe0fc62b3df85.jpg"
      },
      {
        "user_id": 3677968,
        "full_name": "Alessandro Fiume",
        "title": "Founder",
        "founder_bio": "Co-founder at Impact Drones. Columbia MSc. Built the pipeline behind 180M+ USD in signed LOIs. At Bloomberg, drove 80% week-over-week growth in terminal activations closing 2M USD in contracts. Scholarship fellow to Columbia & ESCP, valedictorian of CIV, France.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/alessandro-fiume45/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/afa1db0b96ca55b32dea0b32e29b6a0fe999eda2.jpg"
      }
    ],
    "jobs": [
      {
        "id": 114195,
        "title": "Founding Engineer, Robotics and Flight Software",
        "url": "https://www.ycombinator.com/companies/impact-drones/jobs/dpDZ9V6-founding-engineer-robotics-and-flight-software",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Robotics",
        "salary_range": "$120K - $170K",
        "equity_range": "0.50% - 1.25%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "C++"
        ]
      },
      {
        "id": 114196,
        "title": "Integration Engineer, Radar and Drone Software (Counter-UAS)",
        "url": "https://www.ycombinator.com/companies/impact-drones/jobs/LKeth6O-integration-engineer-radar-and-drone-software-counter-uas",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Embedded systems",
        "salary_range": "$100K - $150K",
        "equity_range": "0.20% - 0.40%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "C++",
          "Python",
          "Linux",
          "Sensor integration"
        ]
      },
      {
        "id": 114197,
        "title": "Autonomy Engineer, Interceptor Drones",
        "url": "https://www.ycombinator.com/companies/impact-drones/jobs/yVR7VxO-autonomy-engineer-interceptor-drones",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Robotics",
        "salary_range": "$110K - $160K",
        "equity_range": "0.25% - 0.45%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "C++",
          "Python",
          "Computer Vision",
          "Embedded Linux"
        ]
      }
    ],
    "news": [
      {
        "title": "Impact launches Air Defense as a Service: autonomous interceptor drones in a sealed box, deployed at the sites drones are already hitting - EDR Magazine",
        "url": "https://www.edrmagazine.eu/impact-launches-air-defense-as-a-service-autonomous-interceptor-drones-in-a-sealed-box-deployed-at-the-sites-drones-are-already-hitting",
        "date": "Aug 17, 2026"
      },
      {
        "title": "Y Combinator-backed Impact Drones to offer missile-intercepting drone service for data centers and grid operators - DCD",
        "url": "https://www.datacenterdynamics.com/en/news/y-combinator-backed-impact-drones-launches-offers-missile-intercepting-drone-service-for-data-centers-and-grid-operators/",
        "date": "Aug 17, 2026"
      },
      {
        "title": "Impact Launches Air Defense As Service Using Drone Interceptors | Aviation Week",
        "url": "https://aviationweek.com/aerospace/advanced-air-mobility/impact-launches-air-defense-service-using-drone-interceptors",
        "date": "Aug 17, 2026"
      },
      {
        "title": "Impact Drones launches autonomous “air defence as a service” for critical infrastructure - Unmanned airspace",
        "url": "https://www.unmannedairspace.info/counter-uas-systems-and-policies/impact-drones-launches-autonomous-air-defence-as-a-service-for-critical-infrastructure/",
        "date": "Aug 06, 2026"
      }
    ],
    "launches": [
      {
        "id": 108922,
        "title": "Impact Drones: Air Defense as a Service for Civilian Infrastructure",
        "tagline": "Containerized drone interception for airports, ports, data centers and power plants.",
        "body": "# \n\nWe build containerized cells of autonomous interceptors that protect critical civilian infrastructure from hostile drones. Park the cell next to anything you need to keep running: it detects an incoming threat, launches and physically neutralizes the incoming aerial threat. [www.impact-drones.com](http://www.impact-drones.com)\n\n**OUR LAUNCH VIDEO**\n\n<https://youtu.be/qLqx0dcpcGo>\n\n**TL;DR:** Half this batch is building AI agents. Your agents live in data centers. And these sites are now under threat. In March, drones took three AWS data centers offline in the Middle East and a dozen core cloud services with them. **Amazon lost 200 million USD in one day.** We sell a box you put next to anything you'd rather keep: an interceptor pierces its own lid, and the threat stops existing. We'll keep your agents running.\n\n**Why now:** The drone threat went industrial and air defense math didn't.\n\n**A single patriot missile costs more than 1m USD to shoot down a drone worth 30k USD.** Critical infrastructure needs a defense system that can be deployed at scale without losing the cost-per-interception battle.\n\n**What we're building:** a cell holding autonomous interceptors, always charged, always ready for when a threat arises. Unlike jamming, our system physically intercepts the threat. Unlike conventional air-defense systems, it is designed specifically for protecting civilian infrastructure affordably and at scale.\n\n**Why us:** two founders who ship hardware fast.\n\n[@Jasper Lortije](https://bookface.ycombinator.com/user/3245067): aerospace engineer (MSc at TU Delft), previously founded a Dutch company building GNSS-denied visual navigation for autonomous systems.\n\n[@Alessandro Fiume](https://bookface.ycombinator.com/user/3677968): sales and operations, ex Bloomberg, MSBA at Columbia.\n\n**Our ask:** intros to the people who own the airspace problem: data center security and infrastructure leads (hyperscalers and neoclouds especially, your uptime now has an air defense dependency), airport operations directors, and energy grid security teams. And if you're building agents: we're literally your uptime insurance, come say hi. [jasper@impact-drones.com](mailto:jasper@impact-drones.com) &amp; [alessandro@impact-drones.com](mailto:alessandro@impact-drones.com)",
        "url": "https://www.ycombinator.com/launches/SKo-impact-drones-air-defense-as-a-service-for-civilian-infrastructure",
        "votes": 21,
        "created_at": "2026-08-04T18:02:22.616Z"
      }
    ]
  },
  {
    "id": 32205,
    "name": "Mochi",
    "slug": "mochi",
    "former_names": [
      "Mochi",
      "MOCHI.TV"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/49a6b24fc91b9bae1c825be608651c20ecb90c31.png",
    "website": "https://www.mochi.tv/",
    "all_locations": "Los Angeles, CA, USA",
    "long_description": "We're the #1 app for AI anime, where fans make the stories. In just 2 months, we’ve grown to 20K+ creators publishing 2K+ series a month, with originals from Marvel, Toei, and Webtoon writers. To date we’ve crossed 300M views on socials.",
    "one_liner": "Watch and create anime",
    "team_size": 5,
    "industry": "Consumer",
    "subindustry": "Consumer -> Content",
    "launched_at": 1786602622,
    "tags": [
      "Consumer",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
    "industries": [
      "Consumer",
      "Content"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/mochi",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/mochi.json",
    "year_founded": 2025,
    "city": "Los Angeles",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/mochitv/",
    "x_url": "https://x.com/watchmochi/",
    "fb_url": "https://www.facebook.com/watchmochitv",
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/49a6b24fc91b9bae1c825be608651c20ecb90c31.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [
      "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/59d05b9ad2e443030795f668e6cc298ada2595dc.png",
      "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/a3b6abb9f5a84f70d841c70fcfca9b124bb0a7cf.png"
    ],
    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
    },
    "founders": [
      {
        "user_id": 1027100,
        "full_name": "Robert Qiu",
        "title": "Founder/CEO",
        "founder_bio": "uc berkeley alum, ex-faang. scaled game startup to $200k monthly revenue. launched top 50 nft project with $100m+ trade volume (justin kan, ray chan were holders).",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/robertqiu",
        "x_url": "https://x.com/whatsrobdoing_",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0c4f29fe16d966a78088fa967f48acf835bb1ec0.jpg"
      }
    ],
    "jobs": [
      {
        "id": 117582,
        "title": "Founding Product Engineer",
        "url": "https://www.ycombinator.com/companies/mochi/jobs/BeGodLa-founding-product-engineer",
        "location": "Los Angeles, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $180K",
        "equity_range": "0.25% - 0.75%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
          "React Native",
          "TypeScript",
          "Figma",
          "AI Agents"
        ]
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 110404,
        "title": "MOCHI.TV - 1 Minute Anime",
        "tagline": "A mobile app to watch vertical anime shorts, created with AI.",
        "body": "**TL;DR:** [MOCHI.TV](http://MOCHI.TV) is a mobile app to watch vertical anime shorts. Users can scroll to discover shows and binge bite-sized episodes, unlocking them with either coins or a subscription. We produce new shows daily with AI, and they've hit 300M+ views organically.\n\n<https://www.youtube.com/shorts/LtKQ-A9-Dpc>\n\n**The problem**\n\nTraditionally, entertainment takes years to go from production to the TV screen. But fans always crave more. With the advent of AI, entertainment cycles become as fast as days, and now we’re able to serve the most underserved audience of all - anime fans.\n\n**What we built**\n\nA mobile app to watch 1 minute anime packed with:\n\n* emotional thrills (_finally_, you get revenge on the bully), \n* plot twists (_turns out_, the bully is your secret long-lost sibling), \n* and cliffhangers (_suddenly_, the bully whispers “without me, they’ll come for you…”)\n\nUnlike traditional anime, our content is built for Gen Z. TikTok doomscrolling and lower attention spans has led to audiences wanting payoffs in seconds instead of seasons. Our AI workflow allows us to drop a new series a day and build a daily habit with our users, with shows written by top writers from Toei Animation, Spider-man, Webtoon, Spongebob, Robot Chicken, and more.\n\nAnd users are not just passive viewers either - they can create their own through the app as well, with remixing and creator monetization on the way.\n\n**Traction**\n\n300M+ views, 100K+ users, and 900K+ followers across socials, grown organically.\n\n<https://www.instagram.com/watchmochitv>\n\n**Looking ahead**\n\nWith AI, we’re able to build durability like a media company, but iterate like a software company. Making hits is no longer a creative risk but a matter of time and data. Anime is our beachhead, but we plan to expand to every vertical - from live action to dating shows, to k-dramas and kids TV - with AI at the forefront. Like Pixar in the 90s, or Netflix in the 00s, we see an opportunity to build the next great entertainment company on the cusp of a new technology.\n\n**Team**\n\n* **Robert Qiu:** Scaled game startup to $200K/mo, UC Berkeley alum and ex-FAANG\n* **Michael Ninh:** Watched 400+ anime, led consumer growth at Hush (S16) and Massdrop, managed 100s of video creatives\n\nWe're lifelong anime fans with a love for consumer products - this is the most exciting thing we’ll ever build.\n\n**Our ask:** Watch anime (or create one) at <https://www.mochi.tv/>\n\nReach us at [founders@mochi.tv](mailto:founders@mochi.tv)",
        "url": "https://www.ycombinator.com/launches/Sii-mochi-tv-1-minute-anime",
        "votes": 46,
        "created_at": "2026-08-14T20:36:04.113Z"
      }
    ]
  },
  {
    "id": 32206,
    "name": "DeepReach Inc.",
    "slug": "deepreach-inc",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/165caaebecbd3f0b9470bb5817a0a1817520c935.png",
    "website": "http://www.deepreach.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Physical AI — robots and world models — is bottlenecked on one thing: diverse,\r\nreal-world data at massive scale showing how humans actually do work in the\r\nphysical world. It was never written down, and you can't buy it, because no one\r\nhas ever captured it. Only real local experts, the people who do this work every\r\nday, can produce data this authentic and valuable.\r\n\r\nDeepReach builds the network that reaches them. We design and manufacture\r\nwearable stereo capture devices, then place them with local data partners who\r\nrun collection as their own business — in warehouses, workshops, farms, kitchens\r\nand repair shops. They own the local relationships; we supply the hardware, the\r\nsoftware platform, the quality pipeline and the payments. Anyone can run a data\r\nbusiness.\r\n\r\nThat structure is what produces diversity. Instead of thousands of hours inside\r\none environment, we deliver hours spread across thousands of environments —\r\nwhich is what actually makes robot policies generalize.\r\n\r\n475 devices in the field and 100+ data partners are live across 7 countries, adding new\r\npartners every week. They've collected nearly 150,000 clips in the past three\r\nmonths, with volume roughly doubling month over month. Our data is in production\r\nwith multiple frontier model and robotics companies, and we're scaling to\r\n10,000+ devices across 50 countries.",
    "one_liner": "Network for Physical AI Data Business",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1786563914,
    "tags": [
      "Hardware",
      "Machine Learning",
      "Robotics",
      "Computer Vision",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
    "question_answers": [
      {
        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "Chris and I are from the same hometown and have known each other for ten years, long before either of us thought about robots.\r\n\r\nIn that time I built two companies around the same problem: how do you organize people you'll never meet, in places you'll never visit, to do consistent work? The first was HireIO, a cross-border staffing platform out of Silicon Valley. The second was Talex, an expert network for LLM data annotation — around 70,000 people across ten countries. Chris went the other direction: a CS PhD at USC in computer vision, ML infrastructure at Meta, then founding ML engineer at Aven.\r\n\r\nRunning an annotation network for language models, I kept hitting the same wall from the supply side. Text was running out, and the next generation of models wasn't going to learn from the internet. It was going to learn from the physical world — and nobody had captured it. What a warehouse picker, a line cook or a phone repair technician knows is real expertise, and none of it was ever written down. You can't buy that data, because it doesn't exist yet. Chris was hitting the same wall from the model side, watching what was missing from training sets.\r\n\r\nThe default answer at the time was to put a lab in one city and record thousands of hours in the same room. That produces volume, not diversity, and robot policies don't generalize from volume. What the models needed was the opposite shape: a few hours each from thousands of different real workplaces, all over the world. Which meant the bottleneck wasn't an AI problem. It was a distributed human network problem — reaching thousands of ordinary businesses across dozens of countries, and giving the people already working in them a reason to capture what they do. That was the problem I'd spent two companies learning to solve.\r\n\r\nWe started DeepReach in 2025. Chris owns perception and the data engine; I own the network, hardware operations and the commercial side. Ten years of knowing each other means we skipped most of the negotiation that takes co-founders their first year."
      },
      {
        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "Core problem: robot models can't generalize, because the data they learn from all looks the same.\r\n\r\nPhysical AI needs to see how work actually happens — a mechanic torquing a bolt, a baker shaping dough, a technician opening a phone. None of it was ever written down. The internet captured what people say about the world; it never captured how people act in it. So unlike language models, this generation can't be trained on scraped text. Every hour has to be collected on purpose. \r\n\r\nToday the field has roughly tens of thousands of hours of this data against a need estimated in the hundreds of millions. But the gap isn't really a volume gap. It's a diversity gap. The standard approach is to build a lab, hire operators, and record for months in one controlled space. That yields thousands of hours that all look alike, and a policy trained on it fails the moment the lighting, the counter height, or the tool changes. Our customers' acceptance specs now reflect this directly: they cap how much of a delivery can come from any single environment type, and reject batches that are too concentrated. Diversity is the binding constraint, and it's now contractual.\r\n\r\nDiversity is hard for an economic reason, not a technical one. Collecting one hour each from a thousand real workplaces means negotiating access to a thousand real businesses — each with an owner who has no reason to let a stranger film their operation, in a country where you have no presence. That cost is why everyone else builds the lab instead. It's a distribution problem wearing an AI problem's clothes. \\\r\n\\\r\nThat's why we built the company as a network rather than an operation. The people who already work in those places, and already have the trust and the access, run collection as their own local business. We give them the hardware, the software and the payments. Access stops being something we buy and becomes something the network already has. \\\r\n\\\r\nI decided to work on this from the supply side. I'd spent two companies building cross-border human networks — a staffing platform, then a 70,000-person annotation network across ten countries — and kept watching demand arrive for data that no existing structure could produce. The bottleneck was never the model. It was that nobody had built the network that reaches the physical world."
      },
      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "The long-term vision is a network that can reach any workplace on earth, and a record of how human work is actually done.\r\n\r\nConcretely: 10,000+ devices, 50 countries, one million commercial scenes, ten million task types. Every deployment adds to what we call the Human Skill Library — a permanent record of how people do physical work, built from the inside by the people who do it. Much of this knowledge exists nowhere else. It lives in the hands of a mechanic who has been doing the job for thirty years, and when he retires it's gone. Text and video on the internet captured what people say about work. Nobody has captured the work. \r\n\r\n\\\r\nIf we succeed, two things are different：\\\r\nFirst, robots stop being confined to the places that can afford to build around them. Today automation only pays at Amazon scale — a facility large enough to redesign itself for the machine. That's a rounding error of the world's actual workplaces. A policy trained on a million real environments doesn't need the environment to change; it works in a repair shop with bad lighting and a counter at the wrong height. That's the difference between robotics as a capability the largest companies buy and robotics as infrastructure a small business can use.\\\r\nSecond, the people whose work teaches these models are inside the economy that results. The last generation of AI was trained on data scraped from people who were never asked and never paid. This one has to be collected on purpose, from real workers in real workplaces, which means it can be built the other way — as something people opt into and earn from. We already have data partners in ten countries running this as a business they own. At 10,000 operators that isn't a side effect of how we source data. It's the point."
      }
    ],
    "url": "https://www.ycombinator.com/companies/deepreach-inc",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/deepreach-inc.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/in/timothyli-deepreach/",
    "x_url": "https://x.com/DeepReach_AI?s=20",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/deepreach-ai",
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/165caaebecbd3f0b9470bb5817a0a1817520c935.png",
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    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
    },
    "founders": [
      {
        "user_id": 3114257,
        "full_name": "Chris Liu",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder at DeepReach Inc. Founding MLE & tech lead of Aven scaling to #1 in DM volume in the US. Research Scientist at Meta working on core ML systems. PhD in computer vision from USC. B.S. from Peking University.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/drxcliu",
        "x_url": "https://x.com/drxcliu",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1f9e9212493e67c1bb9a3a913e2ab4c6fa9b897e.jpg"
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    "jobs": [
      {
        "id": 112083,
        "title": "VP / Head of Global Data Partner Network & Operations",
        "url": "https://www.ycombinator.com/companies/deepreach-inc/jobs/r0itCEs-vp-head-of-global-data-partner-network-operations",
        "location": "San Jose, CA, US",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$150K - $200K",
        "equity_range": "0.50% - 1.00%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 110389,
        "title": "DeepReach: Launch a real-world data business today",
        "tagline": "Multi-million-dollar contracts secured with frontier AI labs — and growing",
        "body": "**TL;DR:** DeepReach is a global data network that equips local entrepreneurs with wearable devices to capture the real-world operation data for Physical AI training. By decentralizing collections across thousands of entrepreneurs who have access to local businesses, they provide high-diversity training data that cannot be accessed elsewhere. DeepReach already signed multiple-million-dollar contracts with frontier AI labs.\\\n\\\n**DeepReach is building a global network for real-world human data to train Physical AI.**\n\nWe enable local entrepreneurs to operate data-collection businesses using our wearable capture devices, while we provide the hardware, software, QA, and customers.\n\nThe result is a distributed network that produces the diverse human demonstrations Physical AI labs cannot obtain anywhere else. Every new data partner expands the diversity and value of the network.\n\nIn just three months, DeepReach has helped **150+ entrepreneurs** build data businesses employing **1,000+ local experts** across **7 countries**. Together, they’ve collected **500,000+ real-world operation clips**, captured **150,000+ professional skill demonstrations**, and secured **several million dollars in customer contracts** with frontier AI labs and robotics companies.\n\n▶ **Watch how it works:** <https://youtu.be/q5mLwju5Q8U?si=CT3FHbNJaIteNXZD>\n\n---\n\n# **The Problem**\n\nFrontier AI is already learning from the physical world.\n\nThe challenge is no longer collecting data, it’s collecting **diverse** real-world data at scale.\n\nMost companies solve this by building collection labs or hiring workers directly. Both approaches scale headcount, but neither scales access. The hardest part is reaching millions of real workplaces across different industries, countries, and working conditions.\n\nWithout that diversity, AI struggles to generalize beyond a small number of controlled environments.\n\n---\n\n# **What We Built**\n\nInstead of building another data collection company, **we built a platform where entrepreneurs launch independent real-world data businesses.**\n\nDeepReach provides the wearable devices, software platform, quality infrastructure, customer demand, operational support, and payments. **Entrepreneurs build and grow the businesses.**\n\nThey recruit local experts, develop trusted relationships with local businesses, and continuously expand into new industries, communities, and real-world environments.\n\n**Every new business expands the platform’s reach into the physical world, creating access to places, people, and skills that centralized data collection simply can’t reach.**\n\nThe result isn’t a larger workforce, it’s **a growing ecosystem of independent data businesses** that continuously expands the world’s supply of diverse real-world data for Physical AI.\n\n---\n\n# **Where We Are**\n\nIn just three months:\n\n* **150+ entrepreneurs** have launched data businesses on DeepReach\n* Those businesses now employ **1,000+ local experts** across **7 countries**\n* **500,000+ real-world operation clips** collected\n* **150,000+ professional skill demonstrations** captured\n* **Several million dollars in signed customer contracts** with frontier AI labs and robotics companies\n* Scaling toward **10,000+ devices** across **20 countries**\n\n# **Where This Goes**\n\nOur model is simple: labs list the tasks and environments they need, our entrepreneurs pick up the orders and go record them, and every delivery makes the network more capable of fulfilling the next one. It also compounds into something bigger, what we call the **Human Skill Library**: a growing record of how people interact with the physical world.\n\nMost of this knowledge has never been documented. It lives in the hands of experienced workers, passed down through practice rather than words, and it often disappears when they retire.\n\nOur vision is to preserve and scale humanity's physical knowledge, so every AI system can learn from the collective experience of human work.\n\n# **About Us**\n\n\\\nTim built HireIO into a leading global workforce company with 15 millions in annual revenue, then founded [Talex.ai](http://Talex.ai), an AI-powered expert network, before starting DeepReach. Chris comes from a computer vision background. We discovered the problem firsthand while labeling data for robotics startups: the real bottleneck wasn’t annotation, it was capturing diverse real-world human skills at scale.\n\n![uploaded image](/media/?type=post&id=110389&key=user_uploads/1294315/9bb8c293-ab57-42aa-b756-58562e546b78)\n\n---\n\n# **How You Can Help**\n\nIf you’re building frontier AI systems and need more diverse real-world data, we’d love to talk.\n\nIf you’re an entrepreneur interested in building a real-world data business, applications are open here: [www.deepreach.ai/join](https://www.deepreach.ai/join)\n\nTim Li\\\nFounder &amp; CEO, DeepReach AI\n\n[**tim.li@deepreach.ai**](mailto:tim.li@deepreach.ai)",
        "url": "https://www.ycombinator.com/launches/SiT-deepreach-launch-a-real-world-data-business-today",
        "votes": 470,
        "created_at": "2026-08-13T18:33:15.556Z"
      }
    ]
  },
  {
    "id": 32220,
    "name": "COACH",
    "slug": "ai-coach",
    "former_names": [
      "COΛCH"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/78b58d361b887533d84ef36e56f833ff7fd87c5c.png",
    "website": "https://www.getcoach.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "85% of all sales still happen face-to-face. Coach is how those get closed.\r\nOur AI turns in-depth sales conversation analysis into company knowledge and personalized coaching to help reps close more deals.",
    "one_liner": "The AI Coach for in person sales reps.",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Sales",
    "launched_at": 1785353697,
    "tags": [
      "SaaS",
      "B2B",
      "Sales",
      "Sales Enablement",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
    "industries": [
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      "Sales"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/ai-coach",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/ai-coach.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/my-aicoach/",
    "x_url": "",
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    "primary_partner": {
      "name": "Jon Xu",
      "url": "https://www.ycombinator.com/people/jon-xu"
    },
    "founders": [
      {
        "user_id": 1619431,
        "full_name": "Mathieu Perez",
        "title": "Founder/CEO",
        "founder_bio": "Founder & CEO at COΛCH. \n\nStudied CS at EPFL, UPenn, and U Sydney.\nPreviously co-founded Alsace Test, scaling to €3.5M revenue in 14 months at age 18. \nFormer professional goalkeeper for Atlético Madrid and Racing Club de Strasbourg.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/mathieu-perez-719019201/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fd9e1e0d6345383f6a93dc854c0bba5f488fa9c6.jpg"
      },
      {
        "user_id": 1977183,
        "full_name": "Thomas Perez",
        "title": "Founder/COO",
        "founder_bio": "Co-founder & COO of COΛCH (YC S26)\n\nI run customer success and our forward-deployed approach: 100% pilot conversion and 0% churn.\n\nBefore:\nStudied Business at Audencia & USYD. Coding at Le Wagon. \nCo-founded Alsace Test, scaling to €3.5M revenue in 14 months at age 21.\nEx-football player — Atlético Madrid & Torcy academies, UA (NCAA).\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/thomas-perez-13011/",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/557b87d34999f30ffbc51a8bd2ef13b3803af1d1.jpg"
      },
      {
        "user_id": 2929268,
        "full_name": "Nicolas Sebag",
        "title": "Founder/CTO",
        "founder_bio": "Founder & CTO at COΛCH\nWe transform real-life conversations into actionnable intelligence.\nSpent the last 10 years building software products in hospitality, aeronautics, healthcare and more",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/nicolas-sebag-504747118/",
        "x_url": "https://x.com/sebcny",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d51cd4f662c1032baa37d98bc2a71fa8b58497ed.jpg"
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    ],
    "jobs": [
      {
        "id": 111820,
        "title": "Founding AI Engineer",
        "url": "https://www.ycombinator.com/companies/ai-coach/jobs/VHrbq7B-founding-ai-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "AI engineer",
        "salary_range": "$150K - $250K",
        "equity_range": "0.50% - 1.50%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "PostgreSQL",
          "Python",
          "Machine Learning",
          "AI Agents"
        ]
      },
      {
        "id": 111851,
        "title": "Founding Designer",
        "url": "https://www.ycombinator.com/companies/ai-coach/jobs/zQZFaPA-founding-designer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Design",
        "role_type": "Product design",
        "salary_range": "$120K - $180K",
        "equity_range": "0.25% - 1.00%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Design systems",
          "Figma"
        ]
      },
      {
        "id": 112049,
        "title": "Founding Customer Success (Senior)",
        "url": "https://www.ycombinator.com/companies/ai-coach/jobs/Y46rQ4Y-founding-customer-success-senior",
        "location": "Paris, France",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "€55K - €70K EUR",
        "equity_range": "0.05% - 0.25%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 112050,
        "title": "Founding Customer Success",
        "url": "https://www.ycombinator.com/companies/ai-coach/jobs/Y3oskDm-founding-customer-success",
        "location": "Paris, France",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "€45K - €65K EUR",
        "equity_range": "0.01% - 0.15%",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 115448,
        "title": "Founding Sales - Europe",
        "url": "https://www.ycombinator.com/companies/ai-coach/jobs/HE1Omqf-founding-sales-europe",
        "location": "Paris, IDF, FR / Paris, Île-de-France, FR",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "€60K - €120K EUR",
        "equity_range": "0.05% - 0.30%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 108339,
        "title": "COACH: The AI coach for in-person sales reps",
        "tagline": "Make every rep sell like your best one: door-to-door, in-home, showroom.",
        "body": "Hey everyone, we're Mathieu, Thomas and Nicolas, two brothers and a best friend building COACH.\n\n**TL;DR:** We're building the best coach for in-person sales ever built: reps record every in-person meeting from our app, and our AI turns it into precise, personalized coaching. And it works so well that 5 months in, thousands of reps already run on COACH, and we're live with the top 5 in-person sales companies in France, lifting conversion rates by 32% on average.\n\n<https://www.youtube.com/watch?v=yJB7wC3ddTM>\n\n## The Problem\n\n85% of sales in the world happen face-to-face. And in-person selling is brutally hard: a rep alone in someone's living room, reading signals, handling doubts, feeling the exact moment to push.\n\nThe best reps catch what no playbook can teach. That's why 20% of them bring in 80% of the revenue, and nobody knows what they're doing differently. The only way to find out is to physically be there: a ride-along, a full day, 100 km of driving to watch a single meeting. It doesn't scale.\n\n## The Solution\n\nCOACH's AI learns how to close customers for your business, and closes the gap at every layer of the sales org:\n\n* **Every rep gets a personal coach:** they record every in-person meeting from our mobile app, in-home, showroom, door-to-door, and walk out of each one with personal, precise feedback and a clear path to the next close. Our AI learns from your top 20% and coaches everyone to perform like them, starting each day with a morning brief on their weakest point. 90% improve on it in their first week.\n* **The company gets a sales brain that learns how to close its customers:** every meeting feeds it. Why is one region closing twice as much as another? Which objection is killing deals this month? Leadership just asks, COACH has the answer.\n\nThousands of reps already run on COACH, live with the top 5 in-person sales companies in France, where we've lifted conversion rates by 32% on average, and dozens of reps 3–4×'d their numbers. We're now growing fast in the USA, where our first customers are switching from virtual ride-along platforms to COACH.\n\nEvery rep gets a coach. Your company gets a brain.\n\n## The Team\n\nAt 18 and 21, we built Alsace Test: a 44-rep field sales team that did €3.5M in 14 months. Alsace made us fall in love with in-person sales, obsessed, actually.\n\nAnd one thing was driving us crazy: same product, same material, same training, and one guy closed 4× more than the others. We were driving 2,000 km a week just to watch reps sell.\n\nSo we asked them to record themselves. Suddenly, without moving, we were listening to 10 hours of meetings a day. That was COACH before COACH.\n\nIn an AI-driven sales world, we're deeply convinced Zoom sales and call centers will soon be replaced by AI agents. Face-to-face selling will be the last human job on Earth. We're betting on it.\n\n## Our Ask\n\nIf you run 5+ field sales reps, let's talk, we'll show you how to make them superhuman.\n\n* **Book a demo:** [Calendly](https://calendly.com/mathieu-perez-ai-coach/nouvelle-reunion)\n* **Email me:** [mathieu@getcoach.com](mailto:mathieu@getcoach.com)\n* **Text/call me:** +1 628-358-7470",
        "url": "https://www.ycombinator.com/launches/SBP-coach-the-ai-coach-for-in-person-sales-reps",
        "votes": 51,
        "created_at": "2026-07-30T19:46:52.311Z"
      }
    ]
  },
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    "id": 32223,
    "name": "Marble",
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    "website": "https://joinmarble.ai/",
    "all_locations": "New York City, NY, USA",
    "long_description": "Marble is the first AI-native operating system for the restaurant back-of-house. \r\n\r\nRestaurants, cafes and bars still run on a patchwork of disconnected point solutions, spreadsheets, clipboards and tribal knowledge, which costs the industry billions each year in stockouts, food waste, and lost profit. \r\n\r\nMarble replaces that entire stack with one system. Computer vision and voice AI capture real-time inventory levels 90% faster than manual counts, ML models forecast item-level demand at 97% accuracy, and AI agents run dozens of end-to-end workflows autonomously, from procurement and invoice reconciliation to scheduling, food prep, menu engineering, and more.",
    "one_liner": "The autonomous back-of-house for restaurants.",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1782079217,
    "tags": [
      "SaaS",
      "Restaurant Tech",
      "AI"
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    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
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    "batch": "Summer 2026",
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/joinmarble",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/joinmarble.json",
    "year_founded": 2026,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/joinmarble/",
    "x_url": "https://x.com/joinmarble",
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    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
    },
    "founders": [
      {
        "user_id": 1278164,
        "full_name": "Aakar Khanna",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder and CEO at Marble (YC S26). Previously Head of Strategy & Operations at Kouper (healthcare applied AI) and an early BizOps hire at AtoB (YC S20). Started career as an Investment Banking Analyst at Goldman Sachs covering Restaurants and Food & Beverage. Grew up managing family's multi-unit restaurant business. Undergrad from the University of Michigan's Ross School of Business with a minor in Computer Science. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/aakarkhanna/",
        "x_url": "https://x.com/khannauno",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/10b55e1df529bf42691cc6106a60970b8dcc3cc2.jpg"
      },
      {
        "user_id": 306060,
        "full_name": "Arjun Chaliha",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder & CTO at Marble (YC S26). Previously Senior Software Engineer at Bloomberg, leading AI/ML initiatives for Electronic Trading. CFA Charterholder. BSE Computer Science from University of Michigan. While in college, founded a peer-to-peer tutoring marketplace, backed by University of Michigan.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/achaliha/",
        "x_url": "https://x.com/arjunjchaliha",
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    ],
    "jobs": [
      {
        "id": 109611,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/joinmarble/jobs/JIr3duM-founding-engineer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $225K",
        "equity_range": "1.00% - 3.00%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 110135,
        "title": "Founding Ops",
        "url": "https://www.ycombinator.com/companies/joinmarble/jobs/1V1GfLm-founding-ops",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$100K - $150K",
        "equity_range": "0.20% - 0.75%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 108273,
        "title": "Marble: The autonomous back-of-house for restaurants",
        "tagline": "Marble uses computer vision and voice AI to count inventory in minutes and a collection of AI agents that run inventory and labor management on autopilot.",
        "body": "Hey YC! We’re Arjun and Aakar, and we’re launching Marble (previously Truffle), the first AI-native operating system for the restaurant back-of-house.\n\n**TL;DR:** We help restaurants control their two biggest costs, inventory and labor—saving them thousands of dollars per month in food waste, stockouts, and labor overage. We replace today's patchwork of disconnected point solutions, spreadsheets and clipboards with a single, easy to use system that actually does the work. We use computer vision and voice AI to count inventory 90% faster than manual counts, ML models to forecast item-level demand with 97% accuracy, and AI agents that run dozens of end-to-end workflows autonomously, including ordering, invoice reconciliation, scheduling, food prep, menu engineering, and more.\n\n**The result**: We're live and scaling rapidly across multi-unit operations in the US and Canada. You can find us today in A&amp;W Restaurants, The Kati Roll Company, Sophie’s Cuban, Kokomo NYC, HolyShred, Dead Letter No. 9 and many more. We’ve driven a 40% reduction in food waste, eliminated stockouts, and saved managers 30+ labor hours per week.\n\nCheck us out here:[ www.joinmarble.ai](http://www.joinmarble.ai)\n\n**Our ask:** If you run or know someone who runs a restaurant, café, bar, or hospitality group, we'd love to talk. You can reach us at [founders@joinmarble.com](mailto:founders@joinmarble.com).\n\n**Everyone knows someone who runs a restaurant, bar, or cafe - we’re also giving away $500 (or an Oura Ring) per referral!** [www.joinmarble.com/refer](http://www.joinmarble.com/refer) \n\n<https://youtu.be/Sbib-QYUH_Y> \n\n**The Problem**\n\nRestaurant operators face an uphill battle. Ultra-competitive markets, rising food and labor costs, unforgiving hours, and after all of it, they take home 5% in net profit (if they're lucky).\n\nA restaurant can be full all day and night, but it's the back office operations that determine whether that money hits the bottom line. Today that back office still runs on clipboards, spreadsheets, and guesswork. Inventory gets counted by hand, if at all, so no one has a real-time picture of what's actually on the shelf. Orders get placed from memory, so operators either over-buy (contributing to $150B+ in annual food waste) or under-buy and stock out on the exact items guests came for. Food prep and schedules are built on best-effort guesses, and invoices go unchecked while suppliers quietly raise prices line by line.\n\nEvery one of these is a margin decision, and every one is being made blind, leading to errors that compound every day, across every location.\n\n**The Solution**\n\nMarble runs the entire back office for restaurants. This centers around managing the two biggest cost centers (inventory and labor) and works in 4 phases:\n\n* **Capture:** Computer vision + voice AI through our mobile app allow operators to count inventory 90% faster than manual counts, with 99% accuracy. No more hours spent counting items in a walk-in freezer with a clipboard (IYKYK). Invoices and deliveries are captured the same way.\n* **Forecast:** ML models predict item-level demand for the weeks ahead at 97% accuracy. In addition to that, LLM-powered agents scan the signals a spreadsheet never sees - local events, weather, news, reservations, holidays - and adjust the forecast for what's actually happening around each location.\n* **Act:** A set of AI agents run the workflows that actually move the needle on profitability: placing optimized orders, building demand-informed prep sheets, drafting schedules, proactively tracking and flagging waste, reconciling invoices, engineering menus, and more.\n* **Learn:** This industry runs on tribal knowledge. We have built the product as a closed-loop system from day one: every count, correction, and order flows back into the platform as context that our agents carry forward, so Marble learns how each location actually runs, adapts to its patterns automatically, and gets sharper every day.\n\n![uploaded image](/media/?type=post&id=108273&key=user_uploads/1278164/1dd8a396-a754-4277-ad3b-1613bf1d4212)\n\n**Team**\n\nWe’ve been close friends for nearly 10 years, since our freshman year at Michigan, and we're having a blast taking on this industry.\n\nAakar grew up managing the back office for his family's multi-unit quick service restaurants, where he saw the problem up close. He later covered the restaurant sector as an investment banker at Goldman Sachs before leaving to lead growth at an applied-AI startup in healthcare.\n\nArjun is a second-time founder and was previously a Senior Software Engineer at Bloomberg, where he led AI/ML initiatives on the Electronic Trading team. At Bloomberg, he built out complex trading systems that processed tens of millions of dollars daily.\n\n![uploaded image](/media/?type=post&id=108273&key=user_uploads/1278164/2bab9f3a-cca8-4846-8be1-6cf2a4e38dcf)\n\n",
        "url": "https://www.ycombinator.com/launches/SAL-marble-the-autonomous-back-of-house-for-restaurants",
        "votes": 40,
        "created_at": "2026-07-30T17:31:56.143Z"
      }
    ]
  },
  {
    "id": 32226,
    "name": "Glen",
    "slug": "glen",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/cc11fde647ded2f52bca6ff53c7ad045f290e1ee.png",
    "website": "https://www.tryglen.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Glen is the layer that unifies every agent your company runs. Glen pulls in agent sessions from Claude Code, Codex and Cursor, plus Slack messages, GitHub prs, tickets, docs and calls. When a new agent picks up a task, Glen finds relevant prior context and injects it in the agents context window to steer it, producing knowledge work that is significantly higher quality, faster and cheaper.\r\n\r\nGlen does more. You can query the original agent behind any line of code, or search every session your org has ever run. It distills what your team does into skills and surfaces the right one automatically. Agents work multiplayer, picking up the style and context of whoever else is on the file. Transcripts are unified across Claude Code, Codex and Cursor, so you can hand a session from one to another mid-task. And Glen can also double as a company brain, from Slack, in app, or by just installing Glen on any agent.\r\n\r\nWe’re building toward a future where memory is no longer the missing piece of intelligence. A future where every agent maintains a lossless and continuous thread of institutional experience enabling the era of the compounding organization and fully unsupervised digital labour.",
    "one_liner": "Institutional Learning Layer for Every Agent in Your Company",
    "team_size": 1,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1781114514,
    "tags": [
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      "B2B",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
    "industries": [
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      "Productivity"
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    "regions": [
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      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/glen",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/glen.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/tryglen",
    "x_url": "https://x.com/try_glen",
    "fb_url": null,
    "cb_url": null,
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    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
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    "founders": [
      {
        "user_id": 3237090,
        "full_name": "Nikos Dritsakos",
        "title": "Founder/CEO",
        "founder_bio": "Founder at Glen. Ex Head of Special Projects (MTS) at Composio. Before that VP of Technology at FliteHouse at 22, post-acquisition of SalesBop (his first company, which he bootstrapped to acquisition for $500K in 18 months). At FliteHouse, scaled the eng team, led SOC 2 compliance, and helped grow to one of the biggest players in the voice agents for Canadian auto dealers space via exclusive partnerships across Canadian dealer associations. CS from Brock University.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/nikos-dritsakos/",
        "x_url": "https://x.com/nikos1",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bb5fa61b15c1eadc35aa8dfce11f70397440ddde.jpg"
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    ],
    "jobs": [
      {
        "id": 108585,
        "title": "Founding Member of Technical Staff",
        "url": "https://www.ycombinator.com/companies/glen/jobs/QiR0kCz-founding-member-of-technical-staff",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$170K - $250K",
        "equity_range": "0.50% - 3.00%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": [
          "React",
          "TypeScript"
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    "launches": [
      {
        "id": 111187,
        "title": "Glen: A shared learning layer for all the agents in your organization",
        "tagline": "The shared learning layer for agents.",
        "body": "Hey everyone! I'm Nikos, the founder of Glen.\n\n**TL;DR**\n\nGlen is building the organizational learning and context layer for agents.\n\nEvery agent session your team runs produces reasoning worth keeping, and nearly all of it is discarded the moment the window closes.\\\n\\\n[https://drive.google.com/file/d/1T0CkjYfo3k3FB40_R7UPNfONO-SdgfKB](https://drive.google.com/file/d/1T0CkjYfo3k3FB40_R7UPNfONO-SdgfKB/view?usp=sharing)\n\nGlen is the layer that unifies every agent and model your company run. Glen pulls in agent sessions from Claude Code, Codex and Cursor, plus Slack messages, GitHub prs, tickets, docs and calls. When a new agent picks up a task, Glen finds relevant prior context and injects it in the agents context window to steer it, producing knowledge work that is significantly higher quality, faster and cheaper than ever before.\n\nAnd Glen does more. It unifies all of your org's context: query the original agent behind any line of code, search every session your org has ever run, dynamic skill distillation, multiplayer agents, unified transcripts you can hand between Claude Code, Codex, and Cursor mid-task, and a company brain in Slack.\\\n\\\nComposio scaled usage from 2 users to org wide. Over a dozen SF startups use Glen. I’m onboarding new teams every week, email me at [nikos@tryglen.com](mailto:nikos@tryglen.com) to get set up with early access.\n\n![uploaded image](/media/?type=post&id=111187&key=user_uploads/3237090/2d8c514f-6318-491a-937e-87f1d3e32ae6)\n\n**What Glen does practically**\n\n* Relevant context injected on every prompt which steers your model to do knowledge work more efficiently saving your time, money and headaches. These injections can consist or niche knowledge unique to the repo you are working in, high level understanding of relevant sub systems, and previous approaches teammates took to similar problems. Glen surfaces the prior work that matters automatically, so tasks finish faster and cost fewer tokens with no loss in quality, because what lands in the window is the relevant work rather than more of it. You can lazy-prompt instead of retyping the same background every session. So far, internal evals show about a **29% reduction in token spend** and **21% reduction in task completion time**.\n\n  \\\n  **Also…**\n* PR review with the original context. Highlight any code in a diff and ask why it's there. Glen queries the agent session that produced it and answers from the actual trace instead of guessing from the diff.\n* Code search across every agent trace. Ask your coding agent anything about the codebase and it searches every session any agent in your org has run, so the answer comes from the work that produced the code.\n* A skill library the whole org shares. Glen distills what your team does into skills, publishes them where everyone can use them, and surfaces the right one automatically when someone hits a task it covers.\n* Multiplayer agents. You and your designer work the same deck in parallel, you on copy and them on design. Make a design edit and your agent applies the style theirs has learned. When they touch the copy, their agent writes in the voice yours was taught. Neither of you hands anything off.\n* No lock-in to a model provider. Transcripts from Claude Code, Codex, and Cursor all land in one place, and you can hand a session from one to another mid-task, with Glen converting the format so the next agent picks up exactly where the last one stopped. Your context, your skills, and your shared artifacts come with you, so moving between providers costs nothing.\n* We have a Slackbot company brain too!\n\n**Deployed org-wide at Composio**. Composio was my first design partner. It started with two users, grew to about twenty naturally as I iterated on the product, and is now used across the company. Also in use at over a dozen other companies!\n\nIn the last 30 days alone, Glen injected **10s of millions of** characters of organizational context into their agents. These injections steer the models used by these teams, giving them a competative edge that allows them to perform knowledge work better, faster, and cheaper.\n\n**My Ask**\n\nIf you are at a startup and are reading this, there's a 80% chance Glen would be a great addition to your productivity stack. Most teams run agents heavily, and if yours is tired of re-explaining meetings, Slack, tickets, conventions, and what past sessions already worked out, that's exactly what Glen removes. \\\n\\\nI'd love to chat, and I'll come to your office, or wherever you are, and set you up for a with a early access workspace before public availability. Just shoot me an email at [nikos@tryglen.com](mailto:nikos@tryglen.com)!",
        "url": "https://www.ycombinator.com/launches/SvL-glen-a-shared-learning-layer-for-all-the-agents-in-your-organization",
        "votes": 11,
        "created_at": "2026-08-20T17:30:00.860Z"
      }
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  },
  {
    "id": 32259,
    "name": "screenpipe",
    "slug": "screenpipe",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/144e7207ec725036f43cc9a6b577a8320151e103.png",
    "website": "https://screenpipe.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Screenpipe records and learns how people in your company work and turns it into a searchable memory, documents, and AI agents. Model agnostic and data is stored on your device and/or where your team choose, source available.",
    "one_liner": "Turn your company's computer work into AI agents.",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1783386650,
    "tags": [
      "SaaS",
      "B2B",
      "Enterprise",
      "Enterprise Software",
      "AI"
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
    "industries": [
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      "Productivity"
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    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/screenpipe",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/screenpipe.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/screenpipe",
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    "primary_partner": {
      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
    },
    "founders": [
      {
        "user_id": 716431,
        "full_name": "Louis Beaumont",
        "title": "Founder/CEO",
        "founder_bio": "Previously French intelligence (acquired) and hyperscale cloud observability at OVHCloud.\nBuilt video game bots business when I was 14. My training dataset: 150 books a year.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/louis030195/",
        "x_url": "https://x.com/louis030195",
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    ],
    "jobs": [
      {
        "id": 103591,
        "title": "Forward Deployed Engineer (Enterprise)",
        "url": "https://www.ycombinator.com/companies/screenpipe/jobs/EudBGQb-forward-deployed-engineer-enterprise",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $240K",
        "equity_range": "0.25% - 1.00%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "React",
          "Rust",
          "TypeScript"
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      },
      {
        "id": 109046,
        "title": "Senior Product Manager",
        "url": "https://www.ycombinator.com/companies/screenpipe/jobs/p3C1CYI-senior-product-manager",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Product",
        "role_type": null,
        "salary_range": "$160K - $220K",
        "equity_range": "0.25% - 1.00%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 111400,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/screenpipe/jobs/hT5zAor-founding-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $240K",
        "equity_range": "0.50% - 1.50%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
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          "Rust",
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    "launches": [
      {
        "id": 105615,
        "title": "Screenpipe: Record how you work and turn that into agents",
        "tagline": "Record how you work and turn that into agents",
        "body": "screenpipe records what you do, see and hear on your computer, makes it searchable, and gives agents the context to understand how you actually work. The project has 20K+ GitHub stars.\n\n<https://youtu.be/c1jV6E9pyug>\n\nMost AI agents start every task with partial context.\n\nThey can read the prompt and apps you connect. They do not remember the meeting where a decision was made, the tab you opened last Tuesday, the exact steps you took to fix a problem, or the edge case you discovered while doing the work.\n\nscreenpipe runs quietly in the background and captures screen and audio context on your machine. Then you can ask:\n\n* maintain a second brain for every person, projects, tasks, meetings\n\n\n* turn the workday into a daily recap and time breakdown for standups or client billing\n* maintain a personal CRM from the people, conversations, and follow-ups seen during the day\n* find commitments mentioned in meetings or messages that never made it into a task list\n* analyze repeated work and produce a list of workflows worth automating\n* save prompts and context from Claude, Codex, and ChatGPT into a searchable journal\n\nAgents can use screenpipe as long-term memory, so they work from what actually happened instead of only what you remembered to paste into a prompt.\n\nThe same foundation also works across team machines. Teams can map repeated workflows, generate SOPs, find bottlenecks, and identify automation opportunities across the tools where work actually happens.\n\nscreenpipe is open source and local-first. You control what gets recorded, can exclude apps, windows, and URLs, and choose where your data lives.\n\nI’ve been building my own AI second brain since 2020, but it could only remember what I explicitly saved. I built screenpipe so my AI could understand what I was actually doing across my screen and conversations. Other people began using it for the same reason. Today, we’re turning that foundation into context for personal and team agents.\n\n**Our ask**\n\nTry screenpipe and comment with the agent you would build if it could remember everything you’ve worked on.\n\nTry screenpipe: <https://screenpipe.com>",
        "url": "https://www.ycombinator.com/launches/RTT-screenpipe-record-how-you-work-and-turn-that-into-agents",
        "votes": 23,
        "created_at": "2026-07-14T14:38:00.824Z"
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    "id": 32521,
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    "all_locations": "Toronto, ON, Canada",
    "long_description": "Molagri develops safer, more effective pesticides for agriculture.\r\n\r\nWe design biopesticides that hit a precise molecular target unique to pest insects, knocking out pests while sparing pollinators, beneficial insects, and the wider ecosystem. By modeling how pests are likely to evolve, we stay a step ahead of resistance, keeping our products effective against the pests of today and tomorrow. The higher efficacy and biobased production will also contribute to emissions reductions in both manufacturing and field use.\r\n\r\nOur founders are PhD lab mates from the University of Toronto who have worked together for six years and published in Nature Communications and Nature Microbiology. \r\n",
    "one_liner": "Resistance free pesticides.",
    "team_size": 4,
    "industry": "Industrials",
    "subindustry": "Industrials -> Agriculture",
    "launched_at": 1782770010,
    "tags": [
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      "Agriculture"
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    "url": "https://www.ycombinator.com/companies/molagri",
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    "city": "Toronto",
    "country": "CA",
    "linkedin_url": "https://www.linkedin.com/company/molagri",
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    "primary_partner": {
      "name": "Tyler Bosmeny",
      "url": "https://www.ycombinator.com/people/tyler-bosmeny"
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    "founders": [
      {
        "user_id": 2273508,
        "full_name": "Zaky Hassan",
        "title": "Founder/CEO",
        "founder_bio": "Zaky is a protein biochemist and viral structural biologist who has characterized mechanisms of antibody neutralization in human pathogenic coronaviruses. He has an undergraduate degree in Biochemistry (Honours BSc) and graduate training in Biochemistry (PhD candidate) from the University of Toronto. He was awarded $130K+ in fellowships, and published twice in Nature Communications. Zaky previously founded a non-profit, raised $1M+ in grants and operated programming for 1000+ youth in Toronto. ",
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        "linkedin_url": "https://www.linkedin.com/in/zaky-hassan/",
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        "user_id": 3659967,
        "full_name": "Min Jin",
        "title": "Founder/CSO",
        "founder_bio": "Min is a viral structural biologist and protein biochemist, and the current world record holder for the highest resolution structure of a coronavirus spike protein in the Protein Data Bank (1.68 Å).  She has an undergraduate degree in Biophysics (Honours BSc) and graduate training in Biochemistry (PhD candidate) from the University of Toronto and she has published in Nature Microbiology and Nature Communications. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/min-jin-ca/",
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    "jobs": [
      {
        "id": 114656,
        "title": "Scientist / Senior Scientist, Synthetic Virology for RNA Delivery",
        "url": "https://www.ycombinator.com/companies/molagri/jobs/HdOJVZM-scientist-senior-scientist-synthetic-virology-for-rna-delivery",
        "location": "Toronto, ON, CA",
        "type": "Full-time",
        "role": "Science",
        "role_type": "Biotechnology",
        "salary_range": "$130K - $160K CAD",
        "equity_range": "0.50% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 114689,
        "title": "Scientist / Senior Scientist, Insect Biology and Bioassays",
        "url": "https://www.ycombinator.com/companies/molagri/jobs/zvbnS35-scientist-senior-scientist-insect-biology-and-bioassays",
        "location": "Toronto, ON, CA",
        "type": "Full-time",
        "role": "Science",
        "role_type": "Biotechnology",
        "salary_range": "$130K - $160K CAD",
        "equity_range": "0.50% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
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      {
        "id": 114690,
        "title": "Sr. Research Associate, Yeast Expression and VLP Production",
        "url": "https://www.ycombinator.com/companies/molagri/jobs/YZjWSPT-sr-research-associate-yeast-expression-and-vlp-production",
        "location": "Toronto, ON, CA",
        "type": "Full-time",
        "role": "Science",
        "role_type": "Biotechnology",
        "salary_range": "$85K - $105K CAD",
        "equity_range": "0.25% - 0.50%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 116349,
        "title": "Scientist / Senior Scientist, Molecular Display and Binder Discovery",
        "url": "https://www.ycombinator.com/companies/molagri/jobs/qHL3N9N-scientist-senior-scientist-molecular-display-and-binder-discovery",
        "location": "Toronto, ON, CA",
        "type": "Full-time",
        "role": "Science",
        "role_type": "Biology",
        "salary_range": "$130K - $160K CAD",
        "equity_range": "0.50% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
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    "news": [
      {
        "title": "Molagri raises $5.8m to build ‘updatable’ biopesticides",
        "url": "https://agfundernews.com/molagri-raises-5-8m-to-build-updatable-biopesticides",
        "date": "Oct 14, 2026"
      },
      {
        "title": "Molagri wants to design a pesticide that evolves as quickly as pests | BetaKit",
        "url": "https://betakit.com/molagri-wants-to-design-a-pesticide-that-evolves-as-quickly-as-pests/",
        "date": "Sep 04, 2026"
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      {
        "id": 108796,
        "title": "Molagri: Resistance-free pesticides 🪲",
        "tagline": "Species-specific biopesticides built from engineered insect viruses, updatable the moment pests develop resistance.",
        "body": "**TLDR:** We build next-generation pesticides from engineered insect virus-like particles. They target a single pest species, stay safe for humans, pollinators, and the environment, and can be reprogrammed over time as pests evolve resistance.\n\nPesticides underpin modern agriculture and food security, accounting for $80B in annual spend. Without effective pesticides, we can't grow enough food.\n\n<https://youtu.be/6rxXDJeC14Y>\n\n**The Problem 🌱**\n\nPests are developing resistance faster than new pesticides can be invented to replace the failing ones. At the same time, regulators are banning core active ingredients over environmental and human toxicity. Farmers are losing tools from both ends at once.\n\n**Our Solution 🪲**\n\nWe build pesticides out of insect virus-like particles. We start with a virus that only infects insects and is harmless to humans. We strip out its genome so it can't infect or replicate, and we keep the empty protein shell as a delivery vehicle.\n\nWe engineer that shell with two parts:\n\n* A **targeting element** that recognizes a single pest species (or a set of species). This is what keeps the product species-specific and invisible to humans, pollinators, and beneficial insects.\n* A **payload** that kills the pest.\n\nBoth parts are swappable. Changing the targeting element will modify which pest it kills. Changing the payload will result in a new kill mechanism for the same pest, which is how we update the product when resistance appears.\n\nDesigning for true pollinator safety is hard, so we did the underlying science ourselves. We solved a cryo-EM structure of a key receptor in honey bees, which lets us deliberately engineer our targeting elements so they do not bind pollinators.\n\n![uploaded image](/media/?type=post&id=108796&key=user_uploads/2273508/62f4362a-1938-4843-ab26-c9a62c742a84)\n\n**Why Us? 🧑🏽‍🔬**\n\nWe are Zaky and Min, viral structural biology PhD candidates and lab mates at the University of Toronto, where we have worked together for the past 6 years studying how viruses interact with their hosts. We have published in Nature Microbiology and Nature Communications, and Min holds the world record for the highest-resolution structure of a coronavirus spike protein.\n\n**Traction 📈**\n\nWe have signed our first grower LOI, have more in the pipeline, and produced our first set of viruses for testing. During the batch we also solved a cryo-EM structure of a honey-bee receptor that directly informs our pollinator-safe design.\n\n**Connect with us!**\n\n* **Growers and producers**: if you are fighting resistant pests or losing tools to bans, we would love to talk about your crops and target pests. Reach us at [molagri.com](http://molagri.com) \n* **Everyone else:** intros to ag and crop-science operators, or anyone who has built regulated biological products, are always welcome.",
        "url": "https://www.ycombinator.com/launches/SIm-molagri-resistance-free-pesticides",
        "votes": 15,
        "created_at": "2026-08-03T18:35:06.582Z"
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    "id": 32526,
    "name": "Pluto",
    "slug": "talentpluto",
    "former_names": [
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    "website": "https://talentpluto.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Resumes made careers readable. LinkedIn made them filterable. Pluto makes them searchable.\r\n\r\nProfessionals spend 10 minutes talking to Pluto's voice agent about what they've done, what they're great at, and what they want next. Pluto turns that into a structured picture of who someone actually is, capturing the competency and intent that resumes and LinkedIn don't.\r\n\r\nWhen companies and AI agents go looking to hire, Pluto makes the right people discoverable.\r\n\r\n27K+ professionals have shared their career context with Pluto, and 50+ companies, including Mercor, Warp, and Rho, use it to find and reach the right people. Long-term, we're building the LinkedIn for agents.\r\n",
    "one_liner": "LinkedIn for agents",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Recruiting and Talent",
    "launched_at": 1782230867,
    "tags": [
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      "Careers",
      "Conversational AI"
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    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/talentpluto",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/talentpluto.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/talentpluto-inc",
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    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/talentpluto",
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    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
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    "founders": [
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        "user_id": 1666957,
        "full_name": "Sahil Seth",
        "title": "Founder/CEO",
        "founder_bio": "CEO @ Pluto. Previously built an AI interviewer used by billion-dollar recruiting firms. Led AI recruiting transformations at Bain and advised a Fortune 5 company. Graduated summa cum laude from Northwestern, elected to Phi Beta Kappa, and received the Frederick Shipp Diebler Award as the top economics undergraduate.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/sahilseth9",
        "x_url": "https://x.com/sahil_seth9",
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      {
        "user_id": 3207785,
        "full_name": "Maki Potamianos",
        "title": "Founder/CPO",
        "founder_bio": "CPO @ Pluto. Founded and scaled an edtech marketplace in college. Sole graduate with a dual degree in both applied mathematics and finance, completing the mathematics degree in two years.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/michaelpotamianos/",
        "x_url": "https://x.com/Maki_Potamianos",
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      {
        "user_id": 1155860,
        "full_name": "Tony Xavier",
        "title": "Founder/CTO",
        "founder_bio": "CTO @ Pluto. Built an open source no-code editor competing with Lovable and Replit; researched voice agents and RAG systems. Placed top 0.1% nationally in India in math and physics. UMich Physics, Mechanical Engineering, and CS.\n",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/tony-xavier",
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        "id": 115910,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/talentpluto/jobs/SIrtJNc-founding-engineer",
        "location": "San Francisco, CA, US / New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $200K",
        "equity_range": "0.15% - 1.00%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": [
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          "PostgreSQL",
          "React",
          "TypeScript",
          "SQL",
          "Next.js",
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    "launches": [
      {
        "id": 105611,
        "title": "Pluto - AI voice agent that helps professionals get discovered",
        "tagline": "Pluto is an AI voice agent that learns a professional’s story in a 10-minute conversation, makes them discoverable to the right people and AI agents, and creates warm introductions to startups when there’s a fit.",
        "body": "Hey YC, we’re Sahil, Maki, and Tony. We’re building Pluto ([talentpluto.com](https://talentpluto.com/))\n\nResumes made careers readable. LinkedIn made them searchable. Pluto makes them understood.\n\n<https://youtu.be/gMuOogxpSo4>\n\n**TL;DR** - A professional talks to Pluto for 10 minutes about what they’ve done, what they’re great at, and what they want next. Pluto makes that context discoverable to the right people and AI agents, helping them understand the person more fully. When there’s a real fit, Pluto can also make a warm introduction to a startup.\n\n18K+ professionals have already shared their career context with Pluto. 100+ companies use Pluto to meet people with their full story, including Mercor, David AI, Rho, Warp, and Runlayer.\n\n**Ask:** Talk to Pluto and let it get to know your work. If you’re hiring, send us the role and we’ll introduce you to people with context and confirmed interest.\n\n### **The problem**\n\nA resume and online profile are not enough for the AI era.\n\nThey show where someone worked and what title they had. They do not capture what the person actually did, what they are unusually good at, and what they want next.\n\nThat context usually lives in conversations. So professionals get reduced to keywords, logos, and titles, while the people and AI agents trying to understand them are left with an incomplete picture. \n\nHiring makes this problem obvious. Companies miss great people because the real signal never makes it online. But as AI agents increasingly help people find, evaluate, and connect with one another, every professional will need a richer, more accurate way to be understood.\n\n### **The solution**\n\nPluto is an AI voice agent that understands a professional’s career and puts that understanding to work.\n\nProfessionals talk to Pluto for 10 minutes about their experience, strengths, goals, preferences, and what they want to keep private. Pluto asks follow-up questions, remembers the context missing from their resume, and makes them discoverable to the right people and AI agents.\n\nCompanies tell Pluto who they want to meet. Pluto searches its network and the broader market, understands fit on both sides, privately confirms interest, and makes a warm introduction when both sides want to connect. No mass applications. Professionals stay private and in control. Companies meet people who are already understood.\n\n**How It Works**\n\n1. Talk to Pluto for 10 minutes\n2. Review what it learned and choose what to share\n3. Get found and understood by the right people and AI agents\n4. Get introduced to startups when there’s a fit\n\n### **Why We Started This**\n\nThe best hiring has always happened through trusted, high-context introductions. We think AI can make that possible for everyone.\n\nWarm introductions are one way Pluto puts that understanding to work today. Long term, Pluto becomes the career context layer for the AI era - the version of a professional’s story that agents can understand, trust, and act on, while the professional stays in control.\n\n### **Our Ask**\n\nIf you’re a professional, talk to Pluto and let it get to know your work. \n\nIf you’re a founder, hiring leader, or talent engineer, send us the role you’re hiring for.\n\n[talentpluto.com](http://talentpluto.com)\n\n\\- Sahil, Maki, Tony",
        "url": "https://www.ycombinator.com/launches/RTP-pluto-ai-voice-agent-that-helps-professionals-get-discovered",
        "votes": 19,
        "created_at": "2026-07-16T16:33:18.764Z"
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    "id": 32551,
    "name": "Bloomy",
    "slug": "bloomy",
    "former_names": [],
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    "website": "https://bloomylearning.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Bloomy is the best way to teach anything in school. We provide schools with an AI-native academic system comprising core and supplemental curriculum, AI teaching, and assessment to help K-12 students learn faster. Backed by the founders of Clever.",
    "one_liner": "AI-native learning for every school",
    "team_size": 1,
    "industry": "Education",
    "subindustry": "Education",
    "launched_at": 1782182610,
    "tags": [
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      "Education",
      "eLearning",
      "Personalization",
      "AI"
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    "batch": "Summer 2026",
    "status": "Active",
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    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/bloomy-yc-s26/",
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      "name": "Tyler Bosmeny",
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        "user_id": 3410278,
        "full_name": "Alex Southmayd",
        "title": "Founder/CEO",
        "founder_bio": "Founder of Bloomy. Previously 7th grade teacher with Teach For America; GMAT/GRE instructor at Manhattan Prep; Head of Driver Acquisition for Lyft New England (built an acquisition playbook that scaled nationally); Engagement Manager at McKinsey & Company (strategy, VC/PE diligence, sales acceleration). BA from Amherst College, M.Ed. from BU, MBA from Stanford GSB",
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        "id": 100730,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/bloomy/jobs/7Kz07Zt-founding-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
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        "equity_range": "1.50% - 2.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
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        "url": "https://www.ycombinator.com/companies/bloomy/jobs/FQRMUCS-partnerships-account-manager",
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        "id": 104376,
        "title": "Bloomy: AI-powered mastery learning for K-12",
        "tagline": "We use AI to help kids learn faster",
        "body": "**Hi everyone - I'm Alex, founder of Bloomy.**\n\n**TL;DR: We help kids learn faster by using AI. In early pilots, students grew \\~2x faster than the national average.**\n\n[Bloomy](https://bloomylearning.com) is an AI-powered mastery learning platform for K-12 students. We diagnose students’ skill gaps, place students on a personalized learning path, and give them standards-aligned lessons and a Socratic AI tutor that helps without just giving away the answer.\n\nLaunch video: <https://youtu.be/8E5PhhWjtD4>\n\n**Why I'm building this**\n\nI started as a teacher. I taught 7th grade English and Writing with Teach For America, and every day I struggled to deliver differentiated instruction to 30 students with 30 different sets of needs.\n\nSome students needed remediation, some needed acceleration, and many needed a tutor sitting next to them helping them reason through the next step. Benjamin Bloom's 2-sigma result always felt obviously true to me; the hard part was making that kind of tutoring affordable and available to every child.\n\nThen AI changed the cost curve. \n\nWhen I saw innovative school concepts such as Alpha School, the model clicked: mastery-based learning, personalization, and high-agency students. But I kept thinking about the families and schools that already exist: homeschool families, microschools, hybrid schools, and regular classrooms where most kids are today.\n\n**What Bloomy does**\n\nBloomy starts with a diagnostic (we integrate with third-party diagnostics and provide our own in-house one) and places each student onto a personalized learning path. Students work one skill at a time, get a short, standards-aligned lesson, practice, ask BloomyBot for Socratic help when they're stuck, and only move forward after showing 90%+ mastery. The skill path updates live based on the student’s performance and our own knowledge graph.\n\n![uploaded image](/media/?type=post&id=104376&key=user_uploads/3410278/aff91335-737d-4b76-bcc2-40414d3f3c08)\n\n_Our knowledge graph informs skill progression to make learning more efficient._\n\nParents and teachers can see what the student has mastered, what's in progress, and where they need support.\n\n**Where we are**\n\nWe're being adopted in many different contexts: districts with traditional schools, charter schools, hybrid schools, microschools, homeschools, and even families who just want some extra academic support for their kids.\n\nFamilies can subscribe to Bloomy monthly or annually, and families using ESA/EFA funds may also qualify for direct pay or reimbursement depending on their state’s rules.\n\nBefore Bloomy, I taught with TFA, earned my Master’s in Education, designed GMAT and GRE curriculum for Manhattan Prep, led Lyft’s driver growth team for New England, earned an MBA from Stanford, and managed AI transformation engagements at McKinsey. Bloomy is the thing that combines all the aspects of my career: learning design, go-to-market, and AI.\n\nIf you want to reach out, you can email me at [alex@bloomylearning.com](mailto:alex@bloomylearning.com) or follow our updates on [LinkedIn](https://www.linkedin.com/company/bloomy-yc-s26/).\n\n![uploaded image](/media/?type=post&id=104376&key=user_uploads/3410278/9c55515e-0577-460d-955d-e1c3cb587f06)\n\n",
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        "created_at": "2026-07-01T15:05:35.719Z"
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    "id": 32553,
    "name": "Nori",
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    "website": "http://norirobotics.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We manufacture Nori: A sub-$2000 bimanual mobile manipulator that can clean rooms, restock shelves, and fold clothes. Nori can handle basic tasks out of the box, and its software lets anyone teach Nori to automate work specific to their home or business. \r\n\r\nNori aims to solve the robotics data bottleneck. By deploying affordable robots to customers around the world, we can gather the diverse data required to train the next generation of generalist robotic policies. Every user of Nori makes Nori smarter.\r\n\r\nSince launching 6 weeks ago we have already deployed our first robot and have over $440k+ in sales.\r\n\r\nWe can bring general-purpose robotics to homes and businesses that could never afford it before. There are 132.7 million households and 8.4 million employer business locations in the U.S. At $1,688 per robot, selling just one Nori to 0.5% of them represents a $1.2B market opportunity in the U.S. alone. ",
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        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "Robots are finally capable enough to be useful, but they're priced like cars, not appliances. A capable humanoid costs $20,000+, so general-purpose robots stay in labs and pilots instead of homes. \r\n\r\nIt's a big problem because household labor is one of the largest unpriced markets in the world. Today's answer is a stack of single-task machines, a dishwasher, a washer, a vacuum, each $600 to $1,000 and doing exactly one thing. Whoever ships a general-purpose robot at appliance prices doesn't win a niche, they open consumer robotics the way the PC opened computing.\r\n\r\nWe're robotics researchers from Columbia (RoboPIL, CGUI). After years watching \\[$100K research robots struggle with tasks cheap hardware could handle\\], we realized the gap between lab robots and home robots isn't intelligence, it's cost discipline. Nobody was going to fix that from inside a lab, so we left to build it: a $1,688 robot anyone can teach."
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    "city": "San Francisco",
    "country": "US",
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        "full_name": "Antonio Sitong Li",
        "title": "Founder/CTO",
        "founder_bio": "Antonio is the founder of Nori Robotics. He studied Computer Science and Architecture at Columbia, where he held research fellowships with the Laidlaw Scholars Program, the Data Science Institute, and the Graphics & UI Lab. His research focused on teaching robots new tasks through VR demonstrations.\n\nHe also holds a national patent for a computer-vision system, and previously co-founded Truely, which grew to 2,000+ users and 1.5M+ impressions.",
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        "linkedin_url": "https://www.linkedin.com/in/antonio-sitong-li/",
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        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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        "title": "Full-Stack Engineer",
        "url": "https://www.ycombinator.com/companies/noril1/jobs/cERiSKM-full-stack-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
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        "location": "San Francisco, CA, US",
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        "url": "https://www.ycombinator.com/companies/noril1/jobs/2LGcxo3-llm-researcher",
        "location": "San Francisco, CA, US",
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        "visa": "Will sponsor",
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        "title": "Applied AI Engineer, Agents & Robot Learning",
        "url": "https://www.ycombinator.com/companies/noril1/jobs/ZSfyL0x-applied-ai-engineer-agents-robot-learning",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Robotics",
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        "experience": "Any (new grads ok)",
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        "title": "Design Engineer",
        "url": "https://www.ycombinator.com/companies/noril1/jobs/XrKBJq1-design-engineer",
        "location": "San Francisco, CA, US",
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        "role": "Design",
        "role_type": "Product design",
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        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
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        "id": 117567,
        "title": "Social Media & Content Marketer",
        "url": "https://www.ycombinator.com/companies/noril1/jobs/jVWzI5j-social-media-content-marketer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Marketing",
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        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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        "id": 117568,
        "title": "Electrical Engineer",
        "url": "https://www.ycombinator.com/companies/noril1/jobs/Exs6QKi-electrical-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Electrical",
        "salary_range": "$110K - $120K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
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        "id": 117569,
        "title": "Robot Assembly & Automation Technician",
        "url": "https://www.ycombinator.com/companies/noril1/jobs/qciFkKu-robot-assembly-automation-technician",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$47.8K - $58.2K",
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        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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    ],
    "news": [
      {
        "title": "American Humanoid Robot Launches For Just $1,688, Delivery This Fall, Made In San Francisco",
        "url": "https://www.forbes.com/sites/johnkoetsier/2026/08/18/american-humanoid-robot-launches-for-just-1688-delivery-this-fall-made-in-san-francisco/",
        "date": "Aug 20, 2026"
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      {
        "id": 111315,
        "title": "Nori: The $1688 humanoid robot",
        "tagline": "Most humanoids cost 16k, ours cost 1.6. 19 DOF, 1.5 KG lift per arm",
        "body": "Hey YC! 👋\\\n\\\nI’m Antonio from Nori Robotics\n\nWe manufacture humanoids in SF, and we do it at 10% the cost of the competition \n\n**Our ask:** If you are doing any development related to robotics and you think that Nori can be useful, fill out this [form](https://docs.google.com/forms/d/e/1FAIpQLSdcHJxwXCBo5dz7IbIQ30akCu5JaD5Tbv5dP9gIQxvbJQR-3Q/viewform?usp=dialog) or reach out to me on: [X](https://x.com/AntonioSitongLi) or [linkedin](https://www.linkedin.com/in/antonio-sitong-li/). \n\nHere is a video demo of what Nori can do 👇\n\n<https://youtu.be/MuUN5rN70tE>\\\n\\\nLearn more at [norirobotics.com](http://norirobotics.com)\n\n\\\n**Nori Specs:**\n\n19 DOF\n\n<https://youtu.be/p4KkwTP1h_s>\n\n55 kg linear lift\n\n<https://youtu.be/hycO_UK1wNc>\n\n1.5 kg payload per arm (2 arms)\\\n<https://youtu.be/qlu3v2xtxn4>\n\nMicrophone array + Speaker (full-duplex speech dialogue)\n\nRpi 5 4GB compute module \n\n4 \\* 720p 30 fps camera",
        "url": "https://www.ycombinator.com/launches/SxP-nori-the-1688-humanoid-robot",
        "votes": 16,
        "created_at": "2026-08-20T18:30:00.323Z"
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    "long_description": "Ooak Data turns internal company data into a training ground where AI agents can be tested on real work.\r\n",
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    "team_size": 5,
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    "url": "https://www.ycombinator.com/companies/ooak-data",
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    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/107463604",
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      "url": "https://www.ycombinator.com/people/diana-hu"
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        "user_id": 3207024,
        "full_name": "Pierre-Louis Vouteau",
        "title": "Founder/CEO",
        "founder_bio": "Cofounder & CEO at Ooak Data (YC S26). \nPrior COO @Visely (UK ed-tech)\nex Gopuff and L'Oréal",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/pierre-louis-vouteauau-15a06566/",
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        "user_id": 3207121,
        "full_name": "Thomas Aubry",
        "title": "Founder/CTO",
        "founder_bio": "Founder CTO at OoakData. \nPreviously Head of Data at PayLead, where he led the Data & AI team. Applied ML Scientist at Samsung AI. Earlier co-founded Macro Vision on autonomous vehicles Engineering. \nEducated at Institut supérieur de mécanique de Paris in Mechatronics and Robotics.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/thomaub",
        "x_url": "https://x.com/ThomAub",
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        "id": 96721,
        "title": "ML engineer",
        "url": "https://www.ycombinator.com/companies/ooak-data/jobs/M6anRxc-ml-engineer",
        "location": "Paris, IDF, FR / Paris, Île-de-France, FR",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "€70K - €100K EUR",
        "equity_range": "0.10% - 0.30%",
        "experience": "6+ years",
        "visa": "US citizenship/visa not required",
        "skills": [
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        "id": 99220,
        "title": "Software Engineer Senior ",
        "url": "https://www.ycombinator.com/companies/ooak-data/jobs/KqZT9J1-software-engineer-senior",
        "location": "Paris, IDF, FR / Paris, Île-de-France, FR",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "€55K - €80K EUR",
        "equity_range": "0.10% - 0.30%",
        "experience": "6+ years",
        "visa": "US citizenship/visa not required",
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        "title": "Data engineer senior",
        "url": "https://www.ycombinator.com/companies/ooak-data/jobs/0CZAefT-data-engineer-senior",
        "location": "Paris, IDF, FR / Paris, Île-de-France, FR",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "€65K - €95K EUR",
        "equity_range": "0.10% - 0.30%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
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        "id": 99325,
        "title": "Founding Marketing Lead ",
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        "body": "**Aktoria Robotics is the teleoperation layer that speeds up robot deployments.**\n\n[https://drive.google.com/file/d/1UQchwD0U_FFdP9X3FDKJ7UjqXRW_zh24](https://drive.google.com/file/d/1UQchwD0U_FFdP9X3FDKJ7UjqXRW_zh24/view?usp=sharing)\n\nEvery \"autonomous\" robot you've seen this year had a human behind it. Full autonomy isn't here yet, and building an in-house teleop team is slow and expensive. That's the bottleneck standing between a working robot and a real deployment.\n\nAktoria Robotics is a 24-hour global network of trained robot operators across India, Mexico, and the USA, powered by our low-latency teleop software (40ms cross-country) at at least 50% less than the cost of in-house operators. Robotics companies plug in and ship deployments faster.\n\n**The team:** We're Jaskaran Singh Walia and Shreenabh Agrawal, ML and Robotics grad students at CMU. Shreenabh (ex-Zoox) has first-author papers at top robotics conferences. Jaskaran has authored 15+ papers and researched at MIT, Cambridge, and Microsoft Research.\n\n**Our ask:** If you're deploying robots and need reliable teleop, book a call through aktoria.com. Intros to robotics teams requiring teleop are hugely helpful, reply here or reach us at [founders@aktoria.com](mailto:founders@aktoria.com).",
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        "full_name": "Jibril Moinuddin",
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        "full_name": "Christ Xu",
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        "url": "https://www.ycombinator.com/companies/rational/jobs/FGBkhzz-forward-deployed-engineer",
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        "id": 106942,
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      {
        "title": "Rational Launches AI Employees for Accounting Firms",
        "url": "https://insidepublicaccounting.com/2026/07/17/rational-launches-ai-employees-for-accounting-firms/",
        "date": "Jul 17, 2026"
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        "id": 114437,
        "title": "Rational - First Zero-human Accounting Firm",
        "tagline": "Agents will be trusted.",
        "body": "<https://www.youtube.com/watch?v=IX4-sMxdslk>\n\n**We’re disrupting the disruptors.**\n\nYou’ve heard of so many AI accounting startups already. These new “AI-native” accounting firms are still designed to be run by humans in two facets: the first 25%, fostering client relationships, and the final 25%, signing off and filing with the IRS.\n\n**Josh Kushner’s company, Thrive Holdings, the largest disruptor in this space, explicitly argues that agents will never replace this** \\[1\\]**.** Their reasoning? Agents don’t carry trust.\n\nCurrently, agents are not trusted, humans are. That’s why every AI startup nowadays does the work, and leaves judgment to a human. But this is changing, and we’re early. As new agent-centric companies grow (Instinct, Natural, AgentMail), agents become common in daily life and work, and eventually will become trusted entities \\[2\\].\n\nOnce agents are trusted, there is no reason they cannot own entire, traditionally trust-heavy industries, end-to-end. Rational is building for that world.\n\n**Reach out to [founders@rational.to](mailto:founders@rational.to) or visit [rational.to](http://rational.to) if interested in learning more.**\n\n---\n\n\\[1\\] <https://www.thriveholdings.com/long-humans>. A fraction of the market does care about trust and the human relationship with their accountant, but most of us definitely do not want to spend a second more with one than we have to.\n\n\\[2\\] These companies inherently bet on agents to proliferate in society. We also believe AI will continue to get better and safer. Since trust is achieved through consistent, positive actions, and it is in the interest of the entire tech industry for their agents to produce consistent positive actions, our firm will be the first to enjoy the principles to do concrete work in a massive market.",
        "url": "https://www.ycombinator.com/launches/Tll-rational-first-zero-human-accounting-firm",
        "votes": 22,
        "created_at": "2026-09-09T19:03:11.387Z"
      },
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        "id": 112573,
        "title": "Rational - AI Employees for Accounting Teams",
        "tagline": "AI employees for in-house accounting teams",
        "body": "Rational builds AI employees for in-house accounting teams. They onboard themselves, handle real work within existing tools, and keep a human in control of every decision that matters. \n\nOur AI employees conduct interviews with each role on your team, creating a mental map of your workflows, inefficiencies, and who to route approvals to. After you connect them to your current stack, they simply do the work, 24/7. They learn from every single interaction and become more accurate over time — and their insights are completely isolated for your team. They’re truly your AI employees.\n\nWe’re live with major enterprise customers, including a Fortune Global 100.\n\n<https://youtu.be/IYdMo3m6_Es>\n\nToday, we’re also releasing our Web Playground for early access.\n\n**Visit rational.to/book-demo to get access.**\n\nNot part of an accounting team but know someone in PE, advising, or accounting? We would love to talk. Email [founders@rational.to](mailto:founders@rational.to).",
        "url": "https://www.ycombinator.com/launches/THh-rational-ai-employees-for-accounting-teams",
        "votes": 3,
        "created_at": "2026-08-28T16:00:00.566Z"
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        "id": 106060,
        "title": "Rational: AI Employees for Accounting",
        "tagline": "24/7 hires to solve the talent shortage within your firm's existing stack",
        "body": "Rational builds AI employees for accounting and tax firms. They onboard themselves to your firm, handle real work within your existing tools, and keep a human in control of every decision that matters — so firms can finally say yes to the clients they've been turning away.\n\n<https://youtu.be/mcF30tmNLTg>\n\n_The problem_\n\nAccounting has an economics problem: demand is there, capacity isn't. Most firms turned away paying clients last year simply because they didn't have the people to do the work, and the talent pool keeps shrinking as accountants leave the profession faster than firms can replace them. More software hasn't fixed this — and a chatbot that summarizes a spreadsheet definitely hasn't. The parts of accounting that actually matter, like judgment, trust, and sign-off, should stay human. Everything around them shouldn't have to be a bottleneck.\n\n_Our solution_\n\nRational’s AI employees conduct interviews with each role on your team, creating a mental map of your firm’s workflows, inefficiencies, and who to route approvals to. After you connect them to your current stack, they simply do the work, 24/7. They learn from every single interaction and become more accurate over time — and their insights are completely isolated for your firm. They’re truly _your_ AI employees.\n\nRational already works with every firm size: from individuals to Fortune Global 500 companies. Doing everything from document-chasing to research to tax preparation, our employees supplement your firm’s labor without the significant onboarding curve or cost of a new hire.\n\n_Book a Demo_\n\nStop saying no to clients or retaining inefficiencies in your firm. Hire your first AI employees today, at <https://rational.to/book-demo>.\n\nNot an accounting firm but know someone in PE, advising, or accounting? We would love an introduction. Email founders@rational.to.",
        "url": "https://www.ycombinator.com/launches/Rae-rational-ai-employees-for-accounting",
        "votes": 18,
        "created_at": "2026-07-17T17:45:59.589Z"
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        "full_name": "Vatan Aksoy Tezer",
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        "full_name": "Ege Doganay",
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        "full_name": "Cem Toker",
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        "title": "Neuromorphic - Building an embodiment-agnostic “brain” that makes robots fast to deploy",
        "tagline": "We make robots smarter, and faster to deploy. Starting with wet labs!",
        "body": "Hi everyone! We’re Cem, Ege, and Vatan, the founders of Neuromorphic 👋\\\n\\\n**TL;DR** Neuromorphic is building an embodiment-agnostic “brain” that makes robots fast to deploy, and easy to manage through natural interfaces like Slack, email, and phone. Our goal is to make deploying robots in wet labs and other physical industries as easy as onboarding a new employee.\n\n<https://www.youtube.com/watch?v=6T0BDyjakmo>\\\n\\\n**The Problem**\\\nTo make robotics mainstream, we believe two problems have to be resolved:\\\n1\\. Deployment: Robots are still too slow, expensive, and engineering-intensive to deploy and adapt to new tasks and environments.\\\n2\\. Interaction: Managing and controlling robots remains too technical.\\\n\\\n**What We’ve Built**\\\nNeuromorphic packages sensors, compute, and software into a “brain” that can be attached to any robot body. An onboard LLM orchestrator turns natural-language instructions into workflows made up of reusable robotic skills, such as navigating, picking up an object, opening a refrigerator, or inspecting an area. Individual skills can be of various types; they could be AI models we develop, like Vision-Language Models and Video Action Models, or just plain code. Sensor-based safety loops monitor every action to ensure reliable execution.\n\nWe are also giving robots emails, phone numbers, and Slack access to make human-robot interaction more intuitive than using dashboards. The robots then respond to queries and take actions using the onboard LLM.\\\n\\\n**Traction**\\\nWithin a week of our first conversation with a leading biotechnology company, we deployed our robot in their wet lab, which is capable of operating autonomously 24/7, and already completed over 1500 tasks.\\\n\\\n**The Team**\n\n![uploaded image](/media/?type=post&id=109550&key=user_uploads/3607343/b28b023b-f328-4c5d-9181-720e96e5b1a3)\n\n\\\nCem: Second-time founder and did robotics research at Cambridge University. Previously built LLM routing and training acceleration, and did precision robotics.\\\n\\\nVatan: Maintained multiple open-source robotics libraries, most notably MoveIt, one of the most popular motion-planning frameworks for robotics. Led various teams in robotics startups from Series A to Series C in Japan and Singapore. Deployed over a thousand robots.\\\n\\\nEge: Did Robotics and AI research at Bilkent University. Research fellow at Nanyang Technological University. Published research in top AI and robotics conferences. Won HackMIT in 2024.\\\n\\\nCem and Ege first met as teammates in the FIRST Robotics Competition. They reached out to Vatan for mentorship and robotics advice. We spent the next three years building robots and winning competitions together. We remained close and eventually reunited to start Neuromorphic!\\\n\\\n**Ask**\\\nWe're looking for warm intros to wet lab, biotech, and physical-industry operators. If you have a repetitive physical process and have wondered whether a robot could do it, email us at [founders@neuromorphic.vision](mailto:founders@neuromorphic.vision) or [book a call here](https://cal.com/team/neuromorphic/meet-the-founders-of-neuromorphic).",
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        "created_at": "2026-08-10T15:00:00.364Z"
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    "name": "Denta",
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    "website": "https://denta.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Starting with dental benefits, we are relentlessly simplifying the process for patients to receive better coverage at a lower cost by putting the buying power back into the hand of the individual.",
    "one_liner": "Fortune 500 Dental Benefits for Startups",
    "team_size": 1,
    "industry": "Fintech",
    "subindustry": "Fintech -> Insurance",
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        "full_name": "Jack Beecher",
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        "founder_bio": "Dartmouth dropout. Studied CS & Math. Removing the biggest problem from dentistry: insurance.",
        "is_active": true,
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        "url": "https://www.ycombinator.com/companies/denta/jobs/re7M7Ih-founding-growth",
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        "id": 111300,
        "title": "Denta 🦷 Dental Benefits",
        "tagline": "Save time and money on dental benefits",
        "body": "Denta makes dental benefits 25% cheaper by selling plans directly to employers and processing claims instantly with AI.\n\n**Growing up in Dentistry → Solving Its Biggest Problem**\n\nI grew up in the back office of my dad’s dental practices, spent my high school years answering patient calls, and built software for over 300 dentists during college. I'm now solving the industry's biggest problem: insurance.\n\n**The Waste**\n\nEveryone knows how bad health insurance is, dental insurance is worse. In the US, dental insurers collect $100B per year. Despite the $25B of that spent on administration, it still takes insurers three weeks to pay claims with paper checks that Denta can pay electronically in seconds.\n\n![uploaded image](/media/?type=post&id=111300&key=user_uploads/1959995/0f923bd6-9f67-40bc-bdbe-474a4882e652)\n\n**Saving you money**\n\nDenta helps startups self fund their dental insurance. Most Fortune 500s choose this model of insurance to save money while providing better employee benefits. For startups, this model was previously inaccessible.\n\n**Mission**\n\nDenta will not stop until all of America is covered. We believe by removing the friction and waste in the industry, there will be a new age of abundance where both the dentist and patient win.\n\n**Insure like the best**\n\nIf you want to save money on dental benefits while providing the best possible experience for your employees, sign up at [denta.com](http://denta.com)",
        "url": "https://www.ycombinator.com/launches/SxA-denta-dental-benefits",
        "votes": 8,
        "created_at": "2026-08-26T21:00:00.368Z"
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    "name": "TryNearby",
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    "website": "https://trynearby.com",
    "all_locations": "Los Angeles, CA, USA",
    "long_description": "TryNearby connects local businesses with creators who live nearby. Restaurants subscribe monthly and automatically get booked visits from local creators who film, edit, and post a review to the local algorithm. This creates a steady stream of content that compounds into discovery on TikTok, Instagram, and increasingly AI search. Over 100 restaurants and thousands of creators are on the platform across Southern California, with AI agents handling matching, booking, and every creator conversation.",
    "one_liner": "Local creators for local businesses",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Marketing",
    "launched_at": 1786488480,
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        "full_name": "Yousef Abdelfattah",
        "title": "Founder/CEO",
        "founder_bio": "Co-founded FaZe Clan after starting as a 14 year old YouTuber in 2010. Spent the last 15 years in the creator economy turning FaZe into the first internet-native content company to IPO at $1B. Now building TryNearby; for local creators and businesses.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/yousef-abdelfattah-b0906b336/",
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        "full_name": "Obaida Albaroudi",
        "title": "Founder/COO",
        "founder_bio": "Co-Founder at TryNearby. Early Replit employee and former Goldman Sachs. Cofounder of Clipping Exe, one of the first and largest video clipping infrastructures, processing tens of thousands of videos per month.",
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        "full_name": "Ahmad Ibrahim",
        "title": "Founder/CTO",
        "founder_bio": "Founder at TryNearby. Previously CTO/Cofounder at Clipping Exe, building video clipping infrastructure that scaled to tens of thousands of videos monthly.",
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        "title": "Harness Engineer",
        "url": "https://www.ycombinator.com/companies/trynearby/jobs/MtlKiOm-harness-engineer",
        "location": "CA, US",
        "type": "Full-time",
        "role": "Engineering",
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        "equity_range": "0.25% - 1.00%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
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        "title": "Founding Operations Lead",
        "url": "https://www.ycombinator.com/companies/trynearby/jobs/LUvHWP0-founding-operations-lead",
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        "title": "Founding Sales/Growth Lead",
        "url": "https://www.ycombinator.com/companies/trynearby/jobs/Q8SAxNF-founding-sales-growth-lead",
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        "title": "Founding Content Lead",
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        "title": "Founding Creator & Community Lead",
        "url": "https://www.ycombinator.com/companies/trynearby/jobs/Eoisuz0-founding-creator-community-lead",
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      {
        "id": 110956,
        "title": "TryNearby: Every local business needs to be discoverable. That $150B market is moving toward local creators.",
        "tagline": "Word of mouth at scale for local restaurants",
        "body": "Hey everyone,\n\nWe're Yousef, Obaida, and Ahmad, the founders of **TryNearby**.\n\nYousef co-founded FaZe Clan and spent 15 years creating content for 10M+ followers alongside hundreds of other creators. Ahmad and Obaida co-founded one of the first social media clipping companies, building the infrastructure that tracked billions of views across thousands of videos for creator campaigns. We've watched creator content become the most powerful distribution channel on the internet, and we're bringing it to local businesses.\n\n## **TL;DR**\n\n84% of small businesses on TikTok say it helped grow their business. Almost every restaurant owner we meet knows that and has no idea how to act on it.\n\nTryNearby handles it. Every month we send a new group of creators who live nearby to visit, film, and post a review, for a $399 subscription. All of it is handled by us and our AI agents.\n\nToday, 120+ restaurants are subscribed and have had 2,500+ videos posted for them. We nearly doubled one restaurant's revenue in their first month, and owners tell us people walk in every day saying \"we saw you on TikTok.\" Almost half our new restaurants now come from other owners referring us.\n\nOur launch video: <https://www.youtube.com/watch?v=lSG0v1MNwik>\n\n## **The problem**\n\nThere are about 1 million restaurants and cafes in the US. Most of them are invisible in the places people actually decide where to eat.\n\nThe options an owner has today:\n\n* Agencies cost thousands a month and often don’t drive real results\n* Influencers work, but finding the right local ones, negotiating, and doing it again every month is a job by itself\n* Creating their own content is a second full-time job they don't have time for, or a full-time hire they don't have the budget for\n\nAnd here's the thing: _the algorithm doesn't reward a business talking about itself. It rewards people talking about the business._\n\nSo the thing that actually works — someone who lives nearby posting about your food — happens once or twice, or not at all.\n\nAnd the platforms keep rewarding the ones who show up. TikTok's new Local Feed ranks by location and recency, so the restaurants getting fresh content every month reach their own neighborhood. The ones who don't, disappear.\n\n## **The solution**\n\nTryNearby is a subscription that puts local creators inside local restaurants every month, and their followers through the door.\n\n$399/month. Every month we automatically schedule a new group of vetted creators who live nearby. They come in, film, edit, and post. The restaurant just serves the food.\n\n![uploaded image](/media/?type=post&id=110956&key=user_uploads/3490413/7721f4f4-96e4-4a68-b860-841fee782765)\n\n### **Part 1 — They sign up, creators start showing up**\n\nThe moment a restaurant joins, our matching agent finds the creators nearby who fit that spot and sends the invites. Sometimes a creator is scheduled to visit within five minutes of a restaurant signing up. Creators pick their own time from the restaurant's availability. The restaurant doesn't coordinate anything or answer a single message.\n\n### **Part 2 — An AI agent runs every creator relationship**\n\nEvery creator on TryNearby is managed over iMessage by an agent we built. Onboarding, match invites, booking, reminders, reschedules, questions. It handles over 10,000 texts a month.\n\nIt also learns as it goes. Every conversation teaches it more about that creator: what they like to eat, where they'll actually drive, when they're free, what they turn down. That context feeds the matching, so the invites get better the longer someone is on the platform.\n\nFor creators, it's a personal assistant that helps them become better creators while bringing collaborations straight to their iMessage instead of them chasing restaurants.\n\n### **Part 3 — Restaurant owners get their own AI agent to text**\n\nOwners get an assistant in iMessage too. It watches every video, comment, and review, and tells them what's happening: who's visiting this week, how the last video performed, what people are saying. So when a dish sells out the week after a creator posted about it, the owner knows exactly why.\n\nOur team sits behind both agents. Anything either one can't handle gets flagged to us in seconds.\n\n![uploaded image](/media/?type=post&id=110956&key=user_uploads/3490413/5ff964f8-9013-42d7-9617-29d6ccb2164a)\n\n## **Traction**\n\n10 months in:\n\n* 120+ paying restaurants across Southern California\n* 37% month-over-month growth with over 90% monthly restaurant retention since November\n* 2,500+ videos posted by local creators → \\~35M views, almost entirely from people within a few miles\n\nWhat that turned into for the restaurants:\n\n* A restaurant in San Diego nearly doubled revenue in a single month\n* Another had a whole new demographic of customers drive a 50% increase in sales\n* Dishes featured in creator videos hit record sales the following week\n\nEvery single owner tells us the same thing: **people are walking in and saying they saw them on TikTok.**\n\n![uploaded image](/media/?type=post&id=110956&key=user_uploads/3490413/3301e743-2fef-43c4-9138-aaa5631d1eb8)\n\n## **Team**\n\n**Yousef** co-founded FaZe Clan after starting as a 14-year-old YouTuber in 2010. He spent 15 years in the creator economy, built an audience of 10M+ followers and over a billion views, and helped take FaZe public on the Nasdaq at a $1B valuation.\n\n**Ahmad** co-founded one of the first social media clipping companies, where he built the first and largest infrastructure for short-form clipping, tracking 10B+ views across tens of thousands of videos for some of the biggest creators on the internet. UC Berkeley CS, previously a senior engineer at WeightWatchers.\n\n**Obaida** co-founded the clipping company alongside Ahmad. He was an early employee at Replit, previously Goldman Sachs, and grew a consumer app from $360K to $2M ARR in 18 months. Master's in applied economics from Johns Hopkins.\n\n![uploaded image](/media/?type=post&id=110956&key=user_uploads/3490413/031126b7-4cbd-49dc-989f-ef79381b8bd9)\n\nIf you own a restaurant, know an owner who wants more foot traffic, are a local creator, or are just interested in TryNearby, we'd love to talk → 📧 [hello@trynearby.com](https://mailto:hello@trynearby.com)",
        "url": "https://www.ycombinator.com/launches/Src-trynearby-every-local-business-needs-to-be-discoverable-that-150b-market-is-moving-toward-local-creators",
        "votes": 50,
        "created_at": "2026-08-17T18:03:07.676Z"
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Luca IQ is an API for deterministic tax calculation and an IRS Authorized e-filing engine - the foundation for accounting firms and fintechs building on tax.",
    "one_liner": "API-first tax engine for CPA firms and developers",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Finance and Accounting",
    "launched_at": 1785364349,
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      "url": "https://www.ycombinator.com/people/jared-friedman"
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        "full_name": "Angelo Policicchio",
        "title": "Founder/CEO",
        "founder_bio": "Founder at Luca IQ. CPA. Previously Equity Research Associate at Credit Suisse, Forensic Accounting at the FBI, Public Accountant at EY. MBA from Harvard Business School.",
        "is_active": true,
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        "user_id": 3101824,
        "full_name": "Akash Sadashivapeth",
        "title": "Founder/CTO",
        "founder_bio": "Founder at Luca IQ. Previously Head of Data Science at Welligence Energy Analytics.\n\nStudied Data Science at Penn and an MBA from Harvard Business School.",
        "is_active": true,
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        "title": "Founding Tax Lead (CPA or EA Required)",
        "url": "https://www.ycombinator.com/companies/luca-iq/jobs/VQUCBls-founding-tax-lead-cpa-or-ea-required",
        "location": "Chicago, IL, US / Remote (US)",
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        "role": "Product",
        "role_type": null,
        "salary_range": "$100K - $200K",
        "equity_range": "0.25% - 1.50%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 110614,
        "title": "AI Engineer",
        "url": "https://www.ycombinator.com/companies/luca-iq/jobs/U8IX0ke-ai-engineer",
        "location": "Chicago, IL, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
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    ],
    "news": [
      {
        "title": "Luca IQ receives IRS approval for federal 1040 e-filing",
        "url": "https://cfotech.news/story/luca-iq-receives-irs-approval-for-federal-1040-e-filing",
        "date": "Aug 03, 2026"
      },
      {
        "title": "Tech news: Luca IQ launches with e-file approved tax engine for CPA firms | Accounting Today",
        "url": "https://www.accountingtoday.com/list/tech-news-luca-iq-launches-with-e-file-approved-tax-engine-for-cpa-firms",
        "date": "Jul 31, 2026"
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      {
        "id": 108364,
        "title": "Luca IQ - An API for U.S. tax calculation and e-filing",
        "tagline": "An open API, IRS-authorized e-file tax engine for CPA firms and Fintechs",
        "body": "# \\*\\*\\*\\*\n\n**TL;DR: We're building a modern tax engine for accountants and fintechs building on tax: a deterministic tax calculation and e-filing core behind a single API, built on the IRS's official e-file infrastructure (MeF).**\n\n## A tax return is math. It should be a function call.\n\nWe're Angelo and Akash, and we built Luca IQ, a new tax engine for accounting firms. One set of inputs in, a completed, filed return out in minutes. Not bolted onto decades out desktop software.\n\nFor CPA firms, that means more returns per preparer, less spend on labor, and a clean path off 30-year-old desktop software. For the PE groups acquiring and scaling firms, it means real operating leverage on the single most labor-intensive part of the business.\n\n<https://youtu.be/IV5nl7grMxI>\n\n**The problem.** \\~95% of US firms file their returns through just four companies, and all of them were built decades ago, for the desktop, and are closed. Firms are stuck running tax season on software that can't scale with them. Every modern AI tax tool just pushes data into that same closed software it can't control. Everyone rebuilt the interface.\n\n**What we built.** A new one, and we're opening it. A key principle: AI never does the tax math. AI and human judgment set the inputs, and a deterministic engine computes the return, with a full audit trail on every number. It's either 100% correct or it's wrong, and only a deterministic engine can promise the former. For firms, that means throughput without giving up accuracy or defensibility.\n\nOur core leverage: we're an **IRS-authorized e-file provider as a Software Developer, Transmitter, and Intermediate Service Provider**, so Luca IQ doesn't just compute the return, it e-files straight to the IRS. That full path, calculation through filing, is what firms can't get from a closed engine today.\n\n**Why now.** The profession is running out of people. 300,000+ accountants have left since 2019, and \\~70% of CPAs are near retirement. At the same time, private equity is rolling up firms and pushing hard on margin. The work isn't going away. The people are, and the pressure to do more with fewer preparers has never been higher.\n\n**Who we are.** Angelo (CEO) is a CPA who worked in forensic accounting with the FBI, Wall Street, EY and spent years working at tax firms using the legacy softwares we are now replacing. Akash (CTO) was employee #1 at a fintech data-infrastructure startup and leads engineering.\n\n**What we need:**\n\n* **CPA firms who dread tax season**, We'd love 20 minutes to show you what Luca IQ does for throughput and margin. This is who we build for.\n* **PE firms rolling up accounting practices.** If tax prep labor is your biggest cost line, let's talk.\n* **Developers and fintechs** who need 1040 calculations or e-filing. The engine is one API call, and you can build on it early.\n\nReach us at [founders@lucaiq.com](mailto:founders@lucaiq.com).",
        "url": "https://www.ycombinator.com/launches/SBo-luca-iq-an-api-for-u-s-tax-calculation-and-e-filing",
        "votes": 4,
        "created_at": "2026-07-31T14:01:23.291Z"
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    "id": 33013,
    "name": "Operon",
    "slug": "operon",
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    "website": "https://operonsolutions.com/en",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Operon is the data intelligence layer for heavy industry. We ingest the messy documents a plant runs on (P&IDs, schematics, datasheets, scans) and turn them into one structured, queryable model of the facility.\r\n\r\nOn top of it, engineers query their plant in natural language and build agentic workflows for safety, compliance, and design. \r\n\r\n",
    "one_liner": "Agentic data layer for manufacturing & process industries. ",
    "team_size": 0,
    "industry": "Industrials",
    "subindustry": "Industrials",
    "launched_at": 1782593141,
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    "isHiring": true,
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/operon",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/operon.json",
    "year_founded": 2026,
    "city": "San Francisco",
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      "url": "https://www.ycombinator.com/people/jon-xu"
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        "user_id": 2155140,
        "full_name": "Anderson Chen",
        "title": "Founder/CEO",
        "founder_bio": "Founde/CEO @ Operon Solutions.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/anderson-chen-2b6941216/",
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        "title": "Founding FDE",
        "url": "https://www.ycombinator.com/companies/operon/jobs/w7qf3HJ-founding-fde",
        "location": "San Francisco, CA, US / Remote (US)",
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        "salary_range": "$100K - $150K",
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    "id": 33017,
    "name": "ProvenMetal",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "ProvenMetal manufactures the fastest circuit boards in the United States.\r\n\r\nDomestic circuit board manufacturing is slow and expensive, and while reshoring is happening, the supply chain isn't there yet.\r\n\r\nWe automate the bottlenecks - part procurement, DFM review, and assembly - delivering circuit boards in days instead of weeks.\r\n",
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    "industry": "Industrials",
    "subindustry": "Industrials -> Manufacturing and Robotics",
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        "full_name": "Johnny Doyle",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder & CEO at ProvenMetal (YC S26).\nPreviously shipped IoT building management systems. \nDropped out of Engineering with Management @ Trinity College",
        "is_active": true,
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        "full_name": "Will Carkner",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder at ProvenMetal (YC S26). Previously Electrical Engineer at Lumindt working on hydrogen battery systems, studied Electrical Engineering at Trinity College Dublin, and researched metagenomics at ICL.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/will-carkner-518b77228/",
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      {
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        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/provenmetal/jobs/rBRC3Vu-founding-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$100K - $200K",
        "equity_range": "1.00% - 4.00%",
        "experience": "Any (new grads ok)",
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      {
        "id": 105450,
        "title": "ProvenMetal - Fast-turn, American made PCBs",
        "tagline": "Ship hardware just as fast as software",
        "body": "We're Johnny and Will - founders of ProvenMetal (YC S26). We assemble the fastest circuit boards in the US, out of a garage in Dogpatch, San Francisco.\n\nSend us your design files and get assembled boards back in days instead of weeks.\n\n<https://youtu.be/TH0XImuvNbc>\n\n**The Problem**\n\nHardware companies - start-ups and large manufacturers alike - need speed to survive, and right now they wait weeks for circuit boards.\n\nThat time is lost to quoting, design review, part procurement, and assembly - bottlenecks we're automating.\n\nAt the same time, the reshoring wave is driving demand to manufacture critical infrastructure - drones, robotics, defense, energy - domestically.\n\nBut the capacity to assemble boards domestically, quickly and at scale, isn't there. Decades of offshoring hollowed it out, and what's left is slow and expensive.\n\nThe supply chain needed to revitalise American electronics manufacturing hasn't been built yet. We're building it.\n\n**What We Do**\n\nWe're removing the bottlenecks that stand in the way of fast domestic PCB manufacturing.\n\nSend us your design files, get instant quoting and rapid design review.\n\nWe source every component, assemble in San Francisco, and X-ray every board - delivered in days instead of weeks.\n\n**The Founders**\n\nWill Carkner (CTO) - Electrical Engineer, previously shipped the PCB testing pipeline at Lumindt.\n\nJohnny Doyle (CEO) - Mechanical and Manufacturing Engineer, previously built IoT building management systems.\n\n**The Ask**\n\nIntros to drone companies that need hardware fast.\n\n![uploaded image](/media/?type=post&id=105450&key=user_uploads/3677443/8207a1f2-8f6c-41a2-ade8-66fa8d5f7c59)\n\n![uploaded image](/media/?type=post&id=105450&key=user_uploads/3677443/75079b59-06bb-49f5-898f-dff57e93579a)\n\n![uploaded image](/media/?type=post&id=105450&key=user_uploads/3677443/eeabd5ee-fa61-411c-97da-519125e27c0d)\n\n",
        "url": "https://www.ycombinator.com/launches/RQo-provenmetal-fast-turn-american-made-pcbs",
        "votes": 34,
        "created_at": "2026-07-13T16:18:44.326Z"
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    "id": 33048,
    "name": "Pennant",
    "slug": "pennant",
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    "subindustry": "Fintech -> Asset Management",
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        "full_name": "Ryan Nowicki Stewart",
        "title": "Founder/CEO",
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        "full_name": "Tomas Taylor",
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        "id": 111722,
        "title": "Founder Fellow - GTM, Growth & Strategy",
        "url": "https://www.ycombinator.com/companies/pennant/jobs/21lflHF-founder-fellow-gtm-growth-strategy",
        "location": "New York, NY, US",
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        "title": "Founder Fellow - Applied AI",
        "url": "https://www.ycombinator.com/companies/pennant/jobs/eUFGOW1-founder-fellow-applied-ai",
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      },
      {
        "id": 111752,
        "title": "Founding Engineer, Data & AI",
        "url": "https://www.ycombinator.com/companies/pennant/jobs/z6mIB9W-founding-engineer-data-ai",
        "location": "New York, NY, US",
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        "role": "Engineering",
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      },
      {
        "id": 111753,
        "title": "Founding Engineer, Product",
        "url": "https://www.ycombinator.com/companies/pennant/jobs/Y5USzcY-founding-engineer-product",
        "location": "New York, NY, US",
        "type": "Full-time",
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          "Playwright",
          "OpenAI",
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          "Datadog"
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    ],
    "news": [
      {
        "title": "EP28: Proxy Voting Is Always On: Pennant’s Ryan Nowicki Stewart on AI-Native Proxy Voting",
        "url": "https://www.thefundaipod.com/episodes/episode/33ed71e2/ep28-proxy-voting-is-always-on-pennants-ryan-nowicki-stewart-on-ai-native-proxy-voting",
        "date": "Oct 13, 2026"
      },
      {
        "title": "AI tools emerging in proxy voting - Pensions & Investments",
        "url": "https://www.pionline.com/technology-innovation/artificial-intelligence/pi-ai-tools-emerging-proxy-voting/",
        "date": "Oct 04, 2026"
      },
      {
        "title": "START: Ryan Nowicki Stewart, CEO & Co-Founder, Pennant: \"The Corporate Governance OS for Public Markets\" | Fondo",
        "url": "https://fondo.com/blog/start-ryan-nowicki-stewart?utm_term=ryan-nowicki-stewart-pennant&utm_campaign=10061329-Startup%20Growth%20Podcast&utm_content=386749028&utm_medium=social&utm_source=twitter&hss_channel=tw-1843505047692554240",
        "date": "Sep 30, 2026"
      },
      {
        "title": "Boardroom Governance - Ryan Nowicki Stewart",
        "url": "https://podcasts.apple.com/in/podcast/ryan-nowicki-stewart-ceo-pennant-ai-ai-proxy-voting/id1513064579?i=1000792196213",
        "date": "Sep 29, 2026"
      },
      {
        "title": "Cornell University: Successful Alumni Who Founded Startups - TechRound",
        "url": "https://techround.co.uk/startups/cornell-university-successful-alumni-who-founded-startups/",
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    "launches": [
      {
        "id": 110156,
        "title": "Pennant - The Corporate Governance OS for Public Markets",
        "tagline": "AI-native proxy voting and governance intelligence, built by the team who used to do it by hand.",
        "body": "**TL;DR:** Pennant is building AI-native proxy voting solutions for institutional investors, public companies, and their advisors. We’re live with paying enterprise customers, including one of the largest US public pension plans, a Top AmLaw 100 firm, and leading governance advisors. Before Pennant, our team built trillion-dollar tech at BlackRock, cast proxy votes at State Street, and advised Fortune 100 boards at PJT.\\\n\\\n[https://drive.google.com/file/d/1_WDs1VB213EcPS5caE5XK7L6UkZLz07l](https://drive.google.com/file/d/1_WDs1VB213EcPS5caE5XK7L6UkZLz07l/preview)\n\n**The problem:** Proxy voting at publicly traded companies drives trillions in market value every year. Shareholder votes decide $100B mergers, trillion-dollar pay packages, and the boardroom battles that define companies.\n\nYet the work is brutally manual: reviewing thousands of pages of SEC filings, research, and engagement notes that live in a patchwork of PDFs, spreadsheets, and post-it notes. And for professional advice, the market has relied on two firms, ISS and Glass Lewis, for 40+ years, a duopoly that controls 97% of the market.\n\n**Why Now:** Technological change and market sentiment are ripping this market wide open.\n\nCEOs have been sounding the proxy-advisor alarm for years:\n\n![uploaded image](/media/?type=post&id=110156&key=user_uploads/3388610/45604eff-9d48-4271-90ed-b3bf6000b461)\n\n![uploaded image](/media/?type=post&id=110156&key=user_uploads/3388610/a5232d8f-91b7-44bd-8116-f0d251b764d0)\n\nAnd now big investors and the White House are taking action.\n\n![uploaded image](/media/?type=post&id=110156&key=user_uploads/3388610/12da7f65-6e5c-4e57-b2d5-76c18fac1fcf)\n\n![uploaded image](/media/?type=post&id=110156&key=user_uploads/3388610/00e9661e-2b7e-414d-8c2c-f4d4f47b8b55)\n\n![uploaded image](/media/?type=post&id=110156&key=user_uploads/3388610/47c99681-6ca9-484b-ab33-102a4021cd92)\n\nJPMorgan is even building its own solution. But 99% of the investors, companies, and advisors we talk to don't want to own this themselves, or don't have the resources to. That's where Pennant comes in, and it's why we're winning business out of the gate.\\\n\\\n**Why Pennant is better:** Pennant isn't a better proxy advisor. We're building something bigger: the AI-native operating system for corporate governance, built by former proxy voters and technologists, a team that cast these votes and shipped the software at institutional scale.\n\nPennant gives institutional investors, and the advisors and companies they engage with, voting and governance intelligence to act on their own principles at scale. 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The market at the intersection of investing and corporate governance is estimated at well over $200 billion, and it remains largely unserved by today's tools.\n\n**Traction:** Pennant is live with paying enterprise customers, including one of the largest US public pension plans, a Top AmLaw 100 firm, and leading governance advisors. We're partnered with a top global asset manager as a design partner and are actively engaged with S&amp;P 500 companies. Before YC S26, Pennant was selected for Palantir's Startup Fellowship (Cohort 002).\n\n**Why us:** We've known each other for 15 years, since our undergrad days at Cornell, and started our careers on the same analyst desk at BlackRock building tech products for these exact customers. We have a rare pairing: direct industry experience as the customer, plus the engineering chops to ship fast and earn trust.\n\nAfter BlackRock, Ryan (CEO) was the customer for 6+ years, voting proxies at 3,000+ company meetings and advising Fortune 100 companies on how to win critical votes at PJT Partners. He used Glass Lewis and ISS every day.\n\nTommy (CTO) took the technical path, shipping products at BlackRock before earning his Harvard MBA and founding Mindware, where he built workflow-ready infrastructure for AI agents. He was building agentic AI before \"agents\" were hot, and Pennant is where his engineering background meets Ryan's proxy-voting expertise.\n\n**Our ask:** If you own or touch proxy voting as an investor, advisor, or public company, we want to talk: <https://calendly.com/ryan-getpennant/30min>\n\nLearn more at [getpennant.ai](http://getpennant.ai)\n\n![uploaded image](/media/?type=post&id=110156&key=user_uploads/3388610/d8fefc8c-cf1c-4ef8-a175-f112644f9ca7)\n\n",
        "url": "https://www.ycombinator.com/launches/Sei-pennant-the-corporate-governance-os-for-public-markets",
        "votes": 19,
        "created_at": "2026-08-12T18:30:00.287Z"
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    "name": "Lamb Labs",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Lamb Labs is building Model Processing Units (MPUs), custom AI chips that hardcode LLM weights directly into silicon. Rather than adapting general-purpose processors to run AI models, we're rethinking how LLMs are implemented in hardware to make inference dramatically faster and more energy-efficient.\r\n",
    "one_liner": "Lightning fast chips with hardcoded AI models",
    "team_size": 0,
    "industry": "B2B",
    "subindustry": "B2B",
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    "country": "US",
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      "url": "https://www.ycombinator.com/people/tyler-bosmeny"
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        "full_name": "Niki Kotecha",
        "title": "Founder/CEO",
        "founder_bio": "Founder at Lamb Labs. AI PhD at Imperial College London + I-X Scholar. MEng/BA in Engineering from University of Cambridge. Alan Turing Institute Global Fellowship and 160+ citations",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/niki-kotecha/",
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        "user_id": 3179989,
        "full_name": "Thomas Lanning",
        "title": "Founder/CTO",
        "founder_bio": "Founder at Lamb Labs. Masters in Mathematical and Theoretical Physics from Oxford. Top of his class in undergraduate at Edinburgh University. (Re)discovered the Higgs-boson using ML and CERN data. ",
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        "id": 116541,
        "title": "Founding AI Accelerator Architect (Research & Hardware Co-Design)",
        "url": "https://www.ycombinator.com/companies/lamb-labs/jobs/QfZbNOf-founding-ai-accelerator-architect-research-hardware-co-design",
        "location": "London, England, GB",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Hardware",
        "salary_range": "£60 - £160 GBP",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
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      {
        "id": 116543,
        "title": "Founding ASIC Engineer (Architecture & RTL)",
        "url": "https://www.ycombinator.com/companies/lamb-labs/jobs/cW2pB1O-founding-asic-engineer-architecture-rtl",
        "location": "London, England, GB",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Electrical",
        "salary_range": "£60 - £160 GBP",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizenship/visa not required",
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      {
        "id": 108778,
        "title": "Lamb Labs: Custom Chips for AI Inference",
        "tagline": "Co-designed models and silicon: we hardcode the model architecture into chips targeting 20,000+ tokens per second and 63x higher intelligence per watt.",
        "body": "**Hi Everyone!** \n\n**We’re Niki and Thomas - cofounders of Lamb Labs.**  \n\n**TL;DR: We build custom AI inference chips that run inference at 20,000+ tok/s and 63x higher intelligence per watt than a traditional GPU. Fully local and private by construction, no subscriptions, no API costs.** \n\n**Our mission: the world’s fastest LLM at the lowest power.** \n\n<https://youtu.be/MhhY1Dy9ltE?feature=shared>\n\n**Our hot take: AI models are finally getting good enough to hardcode them directly into silicon.** Once you stop treating the chip as a general-purpose GPU and burn a specific model into hardware, inference gets radically faster and cheaper per watt. Most of the industry is still building flexible, general chips. We think that flexibility is exactly what's wasting your energy. So we’re on a mission to reduce the energy footprint of AI. \n\n**The Problem**\n\nAI is taking power on two fronts: concentrating control of data and intelligence, and consuming ever more electricity to grow. That future scares us, so we're building against it.\n\nHere's the technical root of the waste: **GPUs burn most of their energy during inference moving data, not computing.** LLM/VLM inference is memory-bound, fetching a weight from memory costs \\~100–1000x the energy of the arithmetic you do with it. So you underutilize the GPU you paid for: some GPUs only hit 20–40% compute utilization during LLM inference while the rest idles waiting on memory.\n\nCloud hosting adds its own tax: expensive per-token bills, latency you can't control, network dependencies, and your data leaving your control.\n\n**Our Solution**\n\nWe build the model and the chip together. \n\nThe Hardware Layer\n\n* **Custom architecture, RL-tuned.** We built an RL environment that co-designs the chip architecture for a given model, optimizing directly for speed and energy per token.\n* **Aggressive quantization.** Removes complex math, which shrinks the size and cost of the chip.\n* **Weights on-chip.** The model weights live where the compute is overcoming the memory-bandwidth bottleneck\n\n \n\nBecause everything is hardcoded, it's fully local and secure by construction. No connectivity dependency, nothing leaves the device.\n\nThe Software Layer \n\nDesigning the chip led us to solving a fundamental flaw in LLMs so we are now open-sourcing a new model next week, converted from another open source model, to run 2x faster on any hardware. Come back next week for part 2 of our launch to find out more….\n\n**Our Ask**\n\nIf you answer \"yes\" to any of these, we'd love your help:\n\n* **Are you paying for inference in watts, not just dollars?** Neocloud or private DC operators who are power- or hardware-cost-bound rather than demand-bound, talk to us.\n* **Do you need inference where the cloud isn't an option?** Private AI deployments, regulated, air-gapped, sovereign, or bandwidth-starved deployments.\n* **Do you want to deploy the fastest AI models in your stack?** High frequency trading, agentic workflows \n* **Are you stuck on a thermal or battery budget?** Robotics, wearables, consumer AI hardware where a Jetson-class part is over-provisioned and runs too hot.\n* **Can you introduce us to anyone above?** Warm intros are the single most useful thing.\n\nContact us at [contact@lamb-labs.com](mailto:contact@lamb-labs.com)",
        "url": "https://www.ycombinator.com/launches/SIU-lamb-labs-custom-chips-for-ai-inference",
        "votes": 64,
        "created_at": "2026-08-03T04:56:33.889Z"
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  },
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    "id": 33056,
    "name": "83 Sciences",
    "slug": "83-sciences",
    "former_names": [
      "LabAlly",
      "83 sciences"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/08c94ab9737bf76c36b1cbac477c55b5067788ed.png",
    "website": "https://83sciences.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "83 Sciences uses AI to mine discarded experimental data and drive scientific breakthroughs. Working alongside labs, we discover the materials that will power the new Industrial Revolution.",
    "one_liner": "AI-native materials discovery powered by unpublished experimental data",
    "team_size": 3,
    "industry": "Industrials",
    "subindustry": "Industrials",
    "launched_at": 1783362788,
    "tags": [
      "Hard Tech",
      "Advanced Materials",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
    "industries": [
      "Industrials"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/83-sciences",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/83-sciences.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/83sciences.ai",
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    "primary_partner": {
      "name": "Tyler Bosmeny",
      "url": "https://www.ycombinator.com/people/tyler-bosmeny"
    },
    "founders": [
      {
        "user_id": 2982957,
        "full_name": "Ian Naccarella",
        "title": "Founder/CEO",
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        "full_name": "Eric Riesel",
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        "full_name": "Yankang Yang",
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        "id": 98793,
        "title": "Founding AI Engineer",
        "url": "https://www.ycombinator.com/companies/83-sciences/jobs/Wgkya40-founding-ai-engineer",
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        "id": 102160,
        "title": "Head of Data Partnerships",
        "url": "https://www.ycombinator.com/companies/83-sciences/jobs/NR8uCdC-head-of-data-partnerships",
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        "id": 108805,
        "title": "83 Sciences: Materials discovery from the ~90% of experimental data that never gets published",
        "tagline": "We train materials discovery models on experimental data to help industry improve manufacturing performance at scale and help academics publish more. ",
        "body": "History’s greatest ages are named after materials (Stone Age, Bronze Age, Iron Age, Silicon Age, etc.). The next great age is ours to make together.\\\n\\\n<https://youtu.be/ysIdrc7mowM>\n\\\n**TL;DR:** We are a team of Stanford, MIT, and Harvard researchers discovering breakthrough materials by training frontier models on decades of unpublished experimental data. **We've already discovered a novel material and drafted a manuscript for publication.**\n\nIndustrial R&amp;D teams use us to find scalable application-specific materials that frontier models can't predict. Academic labs turn decades of unpublished data into new papers, citations, and commercialization revenue with us.\n\n**What we do**\n\nWe are uncovering novel materials that help industry improve performance at scale and stay top of new regulations. Examples include replacements for PFAS, the \"forever chemicals\" that are being banned worldwide, and finding a binder for silicon anodes that can survive charging and drop into existing battery manufacturing processes (our cofounder Ian’s work at Sila Nanotechnologies).\n\n**Why we're different**\n\nThe materials performance that matters to industry can only be measured in real experiments, but >85% of experimental research is never published. Frontier models train on papers and simulations and miss all the failures sitting in file drawers. We train on that unpublished data through partnerships with labs across the country, and it’s already working: we've already discovered a novel material and drafted a manuscript for publication.\n\n**Who we are**\n\nWe are Eric, Ian, and Yankang, collaborators for years on everything from superconductors to cooling textiles, and we lead a team of world-class researchers and commercialization experts.\n\nEric developed one of the early generative AI approaches for analyzing experimental data (MIT PhD), Ian has brought multiple climate technologies to market, and Yankang led Boston Consulting Group’s AI program, scaling frontier technology to 30,000+ users globally. Advisors: Simon Billinge (UCSB), Mingda Li (MIT), Ashwin Sreenivas (Decagon).\n\n**Our ask**\n\nIf you need better materials to drive performance and cost, especially in batteries, semis, membranes, catalysts or pharma, or know an academic lab sitting on experimental data, we'd love an intro: [hello@83sciences.ai](mailto:hello@83sciences.ai)",
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    "long_description": "Hubble’s mission is to unify the patient medical record and remove the barriers to accessing it. Today, a person’s health history is scattered across disconnected systems, leaving patients and the people helping them to piece it together. We’re building a future where one authorization unlocks a more complete record, regardless of where someone received care.\r\n\r\nOur founders previously built healthcare and AI products at Grow Therapy and Amazon One Medical, and we’re backed by Y Combinator, Madrona, and Basis Set. We’re building our team in Seattle, with the opportunity to work directly with the founders and shape how people access and use their health information.",
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        "full_name": "Prabha Dublish",
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        "founder_bio": "Founder at Hubble. Previously first PM at Grow Therapy launching their first AI features & PM at Meta.",
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        "full_name": "Aaron Leon",
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        "founder_bio": "CTO at Hubble. Previously tech lead at Amazon One Medical, where he launched Amazon's first healthcare AI agents serving 1M+ patients. Prior, led data platforms across Amazon Health.",
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        "location": "Seattle, WA, US",
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        "role_type": "Backend",
        "salary_range": "$150K - $175K",
        "equity_range": "1.00% - 3.00%",
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        "id": 109532,
        "title": "Hubble: Retrieve medical records other APIs can't",
        "tagline": "Your user verifies their identity once, and we return their medical records through one API.",
        "body": "**TL;DR:** Hubble gives your product a patient's medical records through a single API. Your user verifies their identity once, and we assemble their records from across the providers they've seen and return them for your AI agent to use. Where APIs are not sufficient, we keep going with AI (browser and voice agents). Every request runs on the patient's individual right of access.\n\n**The problem**\\\nIf you're building something that needs a patient's records, there's no clean way to get them. A patient's history is scattered across every provider they've ever seen, and each system is its own island. Most APIs returns the patient-portal subset rather than the full record, and coverage is inconsistent because every health system sets up its integration differently. So most teams either build per-provider integrations for months, fall back to faxes and manual portal logins, or push the problem back onto the patient by asking them to track down their own records or remember a login they set up years ago and have long since lost.\n\n**What Hubble does**\\\nYour user verifies their identity once, and we go get their records so you don't have to.\n\n* **One verification, no work on your end.** The patient verifies their identity in a couple clicks. After that, assembling the records is our job, not yours and not theirs.\n* **We don't stop at the portal subset.** We connect into EHRs and HIEs where they work, and when an API comes back empty we keep going.\n* **Browser and voice agents for everything else.** Agents submit the patient's request through provider portals and call records departments on the patient's behalf, working the phone trees so nobody on your team has to.\n* **Built on the patient's right of access.** Every request runs on the patient's individual right of access. They review every source we request from and can revoke at any time. Every retrieval is logged.\n\n**About the team**\\\nWe're the team behind the AI agents at Grow Therapy and Amazon's One Medical, used by millions of patients. Prabha was Grow's first PM building and scaling their AI agents. Aaron built the AI infrastructure at One Medical serving 1M+ clients. (Fun fact: we've known each other for over a decade.)\n\n**Our ask**\n\n* If your product needs patient records, reach out and we'll get you access: [prabha@hubble.ai](mailto:prabha@hubble.ai)\n* Intros to anyone building AI products on patient data, in digital health, care delivery, life sciences, or legal tech.\n\nSign up at [hubble.ai](http://hubble.ai)\n\n<https://www.youtube.com/watch?v=TC9QoaFHlRk>",
        "url": "https://www.ycombinator.com/launches/SUe-hubble-retrieve-medical-records-other-apis-can-t",
        "votes": 21,
        "created_at": "2026-08-10T16:00:00.087Z"
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    "name": "PRINCEPS",
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    "website": "https://princeps.dev",
    "all_locations": "London, England, United Kingdom",
    "long_description": "PRINCEPS is the first purpose-built insurance company for the trillion-dollar compute buildout. We underwrite SLA, GPU residual value, and outage risk, and price the coverage that unlocks cheaper financing for data centers and neoclouds.",
    "one_liner": "AI-native insurance company for the compute economy",
    "team_size": 2,
    "industry": "Fintech",
    "subindustry": "Fintech -> Insurance",
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        "full_name": "Conrad Frøyland Moe",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder of PRINCEPS. Previously Treasurer of the Oxford Union (£3M+ institution). Experience from national Norwegian politics. Co-Founded an events company at whilst at Oxford University: scaled to 650+ tickets per event at £15K+ revenue. \nB.A Oxford (History & Politics)",
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        "full_name": "Anya Trofimova",
        "title": "Founder/COO",
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    "id": 33283,
    "name": "Locke",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Locke is the AI-native firm for public influence. \r\n\r\nWe pair elite lobbyists and political talent with our own AI systems, helping companies lobby policymakers and win government contracts.\r\n\r\nLocke's team comes from The White House, Congress, and the Pentagon.",
    "one_liner": "The AI-native firm for public influence.",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B",
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        "full_name": "Parth Badhwar",
        "title": "Founder/CEO",
        "founder_bio": "Founder at Locke (YC S26), the AI-native firm for public influence.\n\nPreviously @ Clipbook, The White House, Deloitte's policy team, and the Harris campaign. BA in Political Science from GWU.",
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        "location": "Washington, DC, US",
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        "experience": "Any (new grads ok)",
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        "location": "San Francisco, CA, US / Washington, DC, US",
        "type": "Full-time",
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        "role_type": "Full stack",
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        "id": 109419,
        "title": "Locke - The First AI Government Affairs Firm",
        "tagline": "Locke is changing the way companies and governments work together.",
        "body": "[ ](https://youtu.be/AbNIwYUdFBc)\nToday we're introducing Locke, an applied AI company changing the way companies and governments work together. Our first focus: building an AI-native government affairs firm that helps companies monitor regulations, lobby policymakers, and win government contracts.\n\nAmerican governments spend over $10 trillion a year - and it's all up for grabs, reallocated annually through budgets, appropriations, and contracts. But while every other major market has been made accessible, government hasn't. Its front door is guarded by legacy government affairs firms that charge incumbent prices, and their customers get a fragmented product: one firm for the Hill, another for agencies, another for proposals and procurement, with no one accountable for the outcome.\n\nLocke is building the front door government never had. We combine our AI agents with in-house lobbyists who own the entire path - from research to first meeting to funded contract. On the backend, our agents make the path faster than ever - analyzing legislation, tracking stakeholder engagement, and drafting complex contract proposals.\n\nSince quietly launching six weeks ago, we've blown past a $500K annual revenue run-rate serving clients across defense, healthcare, GovTech, and more.\n\nLocke was founded by Parth Badhwar, who came to this problem from both sides of the table: policy roles at the White House and Deloitte, then leading GTM at a startup that sold to dozens of government offices. The team is small, talent-dense, and part of Y Combinator's Summer 2026 batch.\n\nLocke’s mission is bigger than replacing lobbying firms. It's a future where winning government support depends on what you make, not who you know.\n\nIt's day one in that mission.\n\nLearn more at [locke.inc](http://locke.inc) or email [founders@locke.inc](mailto:founders@locke.inc).",
        "url": "https://www.ycombinator.com/launches/SSp-locke-the-first-ai-government-affairs-firm",
        "votes": 6,
        "created_at": "2026-08-06T17:00:00.074Z"
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    "id": 33319,
    "name": "Vernius Systems, Inc.",
    "slug": "vernius-systems-inc",
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    "website": "https://www.vernius.systems",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We make mass-deployable radars for unmanned systems. Our first product is Archimedes, a radar seeker that finds and locks onto targets, enabling autonomous intercept on any drone. We have over $580M in LOIs for Archimedes, across some of the largest defense primes in Ukraine, the EU, and the Middle East.\r\n\r\nSeekers are the most critical and costly component in every autonomous interceptor. Developing a radar seeker takes a 200+ person team at Raytheon and hundreds of millions of dollars. Archimedes is 100x cheaper than existing radar seekers on the market - and is the first product to make it feasible to deploy radars on every drone.",
    "one_liner": "Mass-deployable radars for air defense",
    "team_size": 3,
    "industry": "Industrials",
    "subindustry": "Industrials -> Defense",
    "launched_at": 1786812946,
    "tags": [
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      "Drones",
      "Radar",
      "Aerospace",
      "Defense"
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
    "industries": [
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      "Remote",
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        "body": "[**Vernius Systems**](https://www.linkedin.com/company/vernius-systems-inc/posts/?feedView=all)\n\n**TL:DR;** Vernius builds radar seekers that turn any drone into a fully autonomous interceptor. We build and test on the frontlines with operators, under real conditions. Because of this, we’ve secured **$500M** in LOIs for 2027 from top defense manufacturers and elite military units across the US, EU, and Ukraine.\\\n\\\n[https://drive.google.com/file/d/191oElqMvXaizOijw1ZN2aTY3ckYOGfVC](https://drive.google.com/file/d/191oElqMvXaizOijw1ZN2aTY3ckYOGfVC/view?usp=sharing)\n\n**Backed By:**\n\nOur early investors include the **former U.S. National Security Advisor** (LTG HR McMaster), the **Chief Engineer behind VBAT, Shield AI’s flagship product** (Austin Howard), and **world renowned Ukrainian Military analyst** (Rob Lee).\n\n**Problem:** \n\n99% of interceptors on the battlefield still require a pilot for manual guidance. Jet powered attack drones deployed by our adversaries have become too fast to intercept manually, and now account for over **50% of all attack drones**. Autonomous solutions, like the Patriot class missiles, cost $4M per shot.\n\n**Solution:**\n\nWe build a radar that turns any drone into a fully autonomous interceptor, reducing the cost per kill from **$4M to less than $4K**.\n\n**About us:** \n\nWe bring over a decade of RF PCB engineering experience. We've built critical software for the US Navy Tomahawk missile fleet, satellites in low Earth orbit, and FPV hardware fielded by frontline operators.\n\n![uploaded image](/media/?type=post&id=111298&key=user_uploads/409168/e627de41-d230-4320-80bb-90173e045879)\n\n**Left to right:** [Hisham El-Halabi](https://www.linkedin.com/in/hisham-el-halabi-001/), [Joe Gonzalez](https://www.linkedin.com/in/jge-2a7937115/), [Arthur Nguyen-cao](https://www.linkedin.com/in/arthur-nguyen-cao-690847146/)\n\n**Ask:**\n\nIf you’re developing interceptors (or you know someone developing them), we would love to chat.",
        "url": "https://www.ycombinator.com/launches/Sx8-vernius-systems-autonomous-radar-guidance-for-interceptor-drones",
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        "tagline": "8000+ independent mental health clinicians in America already run their practice on Allia. We turn that network into one national clinical group that delivers coordinated, measurable care and contracts with the country's largest payers.",
        "body": "**TL;DR:** Allia is the first full-stack, AI-native mental health group. We have **$50M+ in annualized national insurance contracts** and will begin delivering care in September 2026.\n\nWe bring independent practices into one national clinical group that can deliver, measure, and improve care at scale: **600+ clinicians across 70 locations in 32 states, plus telehealth nationwide.**\n\nEvery clinician runs on a single intelligent system of record powered by collective intelligence at a scale, no independent practice could achieve alone.\n\n<https://youtu.be/PIefc1pitT0>\n\n### **How we got here**\n\nWe have the fastest-growing distribution base in behavioral health: 8000+ independent mental health clinicians in America already run their practice on Allia. That's 1,000+ practices every day, caring for 300,000+ patients. It's our wedge: clinicians adopt the OS to run their practice, and we convert those practices into our clinical group.\n\n### **What Allia does**\n\nAllia is a clinical group that gives independent mental health practices the coordination, infrastructure, and payer contracts of a connected health system,  while letting them stay independent. \n\n1. **One coordinated group.** Because every practice operates as part of Allia, care no longer stops at the walls of a single office. Patients move through therapy, psychiatry, primary care, specialty, and higher levels of care as one coordinated journey across a single entity.\n2. **Care that stays connected.** Allia matches each patient to the right clinician and coordinates what comes next across the full continuum of care. Referrals are tracked through completion, so patients are never left to navigate the system alone.\n3. **Operations that run in the background.** Eligibility, intake, scheduling, documentation, coding, billing, follow-ups, and payer reporting happen automatically as care is delivered. Far less gets chased by hand, so clinicians spend their time on patients, not paperwork.\n4. **Outcomes that become visible.** Measurement-informed care, powered by our proprietary agentic technology, is built into every patient's journey, identifying who is improving, who is disengaging, and who needs a change in treatment. The group turns that evidence into better care across the continuum, and into the outcome data that earns better payer contracts.\n\n### **Traction**\n\n* $50M+ in annualized care capacity under signed national contracts with America's largest health insurance companies\n* 8,000+ clinicians across 1,000+ practices use Allia every day (our distribution wedge); 600+ are already activated into the clinical group.\n* 300,000+ patients supported across the network\n\n### **Team**\n\n* **Amie Leighton (CEO):** dropped out of Oxford and declined a place at medical school to build Allia.\n* **Saroosh Khan (CTO):** 94.2% on ARC-AGI-2 (next best: 74%, Google DeepMind); first to cross the 85% \"human-like reasoning\" threshold. Built Allia's deep-reasoning population-health agent, the first inside a system of record for medicine.\n* **Clinical team:** former CMO of the nation's largest behavioral health company **(IPO >$8B)**, former CMO of the country's **3rd-largest health plan,** and leaders who scaled the biggest names in behavioral health.\n\n### **What we're looking for**\n\nIntros to health systems and mental health practices who want to join with the group. Reach out: [team@allia.health](mailto:team@allia.health)",
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    "industry": "B2B",
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        "full_name": "Hursh Shah",
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        "full_name": "Tanuj Siripurapu",
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        "founder_bio": "19, Founder & CTO @ Edviro (YC S26). Prev. at RTX. Scaled a digital presence agency to 20k revenue in high school. Programming since age 9",
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      {
        "id": 112256,
        "title": "Edviro - AI that operates energy infrastructure",
        "tagline": "AI to operate energy infrastructure",
        "body": "# **Edviro: AI that operates energy infrastructure**\n\nHi all,\n\nWe’re Hursh and Tanuj, founders of Edviro.\n\n**TL;DR:** Edviro connects to a facility’s BMS, utility, sensor, equipment, and maintenance systems to build a world model of how the facility behaves. We use that model to detect problems, simulate interventions before anything is changed, and coordinate the best next action. We’re live in **34 facilities**, have identified more than **$400K in avoidable energy costs**, and are now opening our first partnerships with data center operators.\\\n\\\n<https://youtu.be/0sTQlaQGlOY>\n\n## **The problem**\n\nData centers are expected to drive roughly half of U.S. electricity-demand growth through 2030.\n\nThis is usually framed as a problem of producing more electricity. That is only part of it.\n\nPower must be delivered to the right sites, on the timelines data centers are being built, with the reliability their workloads require. Once a facility has that power, its operators still need to extract as much useful compute as possible from every available megawatt without compromising uptime.\n\nInside a data center, power, cooling, controls, equipment, workloads, and maintenance are tightly coupled. A workload shift changes the thermal profile. A cooling-control change affects both energy use and equipment margins. A maintenance decision can alter redundancy and available capacity.\n\nYet the data and workflows used to manage these systems remain fragmented across BMS, DCIM, EPMS, meters, sensors, maintenance software, vendor portals, and spreadsheets.\n\nMost existing systems can display telemetry or raise an alarm. They cannot reliably model how the entire facility will respond before an operator changes a setpoint, shifts a workload, services equipment, or adds capacity.\n\nOperators are left making high-stakes decisions with incomplete system-level context.\n\n## **What Edviro does**\n\nEdviro turns a facility’s operational data into a continuously updated world model.\n\nBy “world model,” we mean a model that estimates the current state of the physical system, learns how its components interact, and predicts how it will respond to a proposed action. \n\nEdviro:\n\n* Integrates data from building controls, utilities, sensors, equipment, and maintenance systems\n* Detects anomalies, energy waste, equipment degradation, and capacity constraints\n* Simulates operational and maintenance interventions before they are deployed\n* Recommends the best action while accounting for cost, reliability, and physical constraints\n* Uses agents to coordinate approvals, work orders, investigations, and follow-through\n* Verifies whether the expected operational and energy impact actually occurred\n\nFor a data center, this could mean determining whether existing power and cooling infrastructure can support additional IT load, testing a control-sequence change before deploying it, identifying which equipment issue is constraining capacity, or prioritizing maintenance based on the capacity and reliability it would recover.\n\nWe initially keep operators in control of every consequential action. As the models are validated and earn trust, more of the operating loop can be automated.\n\n## **Why we started with schools**\n\nEdviro began when I was 17 and working with my high school’s facilities team. I was given a year of district utility bills to analyze, built software to parse them, and discovered roughly **$360,000 in gas overbilling**.\n\nWe found that this was not an isolated problem. Schools operate large portfolios of aging, mixed-vendor infrastructure with fragmented controls, incomplete data, lean facilities teams, and very little room for wasted budget.\n\nThey forced us to build for the messy reality of physical infrastructure rather than clean laboratory data.\n\nToday, Edviro is live in **34 facilities** and has identified more than **$400,000 in avoidable energy costs** for building operators.\n\nA school is obviously not a data center. Data centers have denser instrumentation, much tighter uptime requirements, and more complex coupling between power, cooling, and compute. \n\nWhat transfers is the underlying architecture: connecting heterogeneous operational systems, estimating the state of a physical facility, simulating interventions, coordinating action across teams, and verifying the result. We are now building the data-center-specific models, integrations, and safety constraints directly with operators. Our first relevant research benchmark can be found here: <https://x.com/hursheybar2/status/2083299315003593037?s=20>\n\n## **Where we’re going**\n\nThe current generation of facilities software tells operators what has already happened.\n\nWe want Edviro to understand what is happening now, predict what will happen next, and help execute the safest and highest-value response.\n\nAs electricity becomes one of the primary constraints on AI growth, building more infrastructure will not be enough. We also need to operate the infrastructure we already have far more intelligently.\n\nThe long-term goal is not another dashboard. It is infrastructure that can understand itself and increasingly operate itself.\n\n## **Asks**\n\n1. **We’re looking for data center operators to become early design partners.** We are especially interested in facilities dealing with power or cooling constraints, capacity-expansion planning, recurring manual investigations, fragmented controls, or reactive maintenance. We can begin read-only, with operators retaining approval over every action.\n2. **We’re hiring energy-modeling engineers** across thermal systems, power systems, controls, scientific machine learning, and physical simulation.\n\nIf you operate a data center—or know the team responsible for operating one—we’d love to talk.\n\n[**www.edviro.com**](http://www.edviro.com)",
        "url": "https://www.ycombinator.com/launches/TCa-edviro-ai-that-operates-energy-infrastructure",
        "votes": 5,
        "created_at": "2026-08-26T17:00:00.166Z"
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        "title": "Edviro - Buildings are wasting money daily",
        "tagline": "Your building is wasting energy daily",
        "body": "**TL;DR:** Edviro helps facilities managers at large buildings save on their energy bills.\n\nFacilities managers are overwhelmed with dashboards, alarms, and analytics for hundreds of boilers, HVAC units, and heat pumps across their buildings. Edviro continuously monitors and optimizes buildings using energy world models to detect anomalies, simulate interventions, and suggest the best options to the facilities manager. In particular, in busy spaces like offices, we utilise Wi-Fi access points or our own occupancy sensors to reduce HVAC usage significantly. Our tools also allow institutions to maintain detailed service histories and equipment logs and to perform maintenance with AR. To date, we've saved clients six figures in multiple buildings. We’re also piloting with a construction company to conduct baselining and M&amp;V for sites they work with.\n\n**The team:**\n\nWe’re young technical founders. I’ve published at NeurIPS ‘24, conducted patent pending VR Alzheimer’s work, and founded a previous Aviation smart glasses startup that was accepted into PearX. Tanuj has been coding since he was 9, scaled a previous digital agency to $20k in revenue and previously did dev work at RTX.\n\nThis all started when I was working with my own high school’s facilities team. I saw how much waste there was and how fragmented his energy data was despite loads of smart controls and BMS systems. Initially I built a dashboard for him, and the product quickly caught on to more schools in NorCal.\n\n**Our ask:**\n\nWe’re looking for intros to facilities teams at school districts, real estate or data centres.\n\nAlongside that, we’re looking to work with construction teams who need help baselining and doing M&amp;V on their work post-project.\n\nIf you are connected to anyone in this space, would love to chat!\n\n![uploaded image](/media/?type=post&id=104853&key=user_uploads/3164154/9fe82a05-dd5a-4916-94f4-9cf0e8f54a05)\n\n",
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        "founder_bio": "CTO/founder at Moda, Previously founding engineer and CTO of Dover, MIT meng & sb",
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        "id": 117923,
        "title": "Voyager: AI harness for video and creative work",
        "tagline": "Voyager runs on your computer and lets you use models like Astra, Opus, and DeepSeek to steer 100+ AI image/video models and creative tools.",
        "body": "Voyager is an open harness for video, music, games, and graphics.\n\nIt’s like Codex, but for creative work.\n\nVoyager runs on your computer and lets you use models like Astra, Opus, and DeepSeek to steer 100+ AI image/video models and creative tools like Blender, DaVinci Resolve, Ableton, and Unity.\n\nWe’re the team behind [Moda](https://moda.app), a design tool loved by 100k+ people.\n\nWe’ve had a front-row seat as models have gotten extremely capable - and can handle complex work across storyboarding, video gen, sound design, editing, and finding archival footage. Voyager enables people to do this all from one place: no juggling API keys, providers, and apps.\n\n<https://youtu.be/YJcy9zRJBRk?si=1wrVWXM6AIKfS6hQ>\n\n# How it works\n\n1\\. Download Voyager at [voyager.so](http://voyager.so) and connect the tools, models, and subscriptions you already use.\n\n2\\. Describe what you want to do - edit existing footage, ideate on commercials for your product, make a launch video…\n\n3\\. Voyager works with you just like Codex. It comes with built-in apps for motion graphics, music, and editing - or it can use tools like Blender, DaVinci Resolve, After Effects, etc on your computer\n\n# Team\n\nWe're second-time founders, and previously worked on Dover YC S19 and Heap W13. \n\nOur team of 6 is obsessed with building tools for the next generation of creative work.\n\n![uploaded image](/media/?type=post&id=117923&key=user_uploads/128290/622d1c8f-4e9c-4b7b-802e-4a4d92334e1e)\n\n",
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        "is_active": true,
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    "subindustry": "Healthcare -> Consumer Health and Wellness",
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        "id": 117929,
        "title": "Rhem Labs: Health assistant robots for your parents",
        "tagline": "Rhem handles everything that doesn’t need a pair of hands, while keeping you in the loop.",
        "body": "## TLDR:\n\n**Aging at home has a visibility problem. Small changes in health and routine can go unnoticed for weeks or months, until the first obvious sign is something serious. Rhem is a tabletop robot that helps families see those changes earlier, while giving parents the everyday support they need to stay independent longer. Rhem was designed with older adults in mind, but it’s for anyone who wants help getting things done and staying on top of their health.**\n\nPreorders are open now at <https://rhem.ai>\n\n<https://youtu.be/LnNPjpNq_uE>\n\n## \n\n## The Problem\n\n**At some point, you start paying attention to your parents differently.**\n\nMaybe there was a scare. Maybe Mom missed an appointment. Maybe Dad sounds more tired. Or maybe nothing happened at all. You just start wondering whether everything is as fine as they say.\n\nIf you don’t live with them, you mostly get snapshots: a call, a text, a FaceTime.\n\n**You don’t see the full day.**\n\nYou don’t know if routines are slipping, something is getting harder, or a small change is becoming a pattern.\n\n**We learned this the hard way with my grandmother.**\n\nBefore her stroke, she was sleeping badly, talking less, and seemed unlike herself.\n\nThe signs were there. But my dad had a newborn and a full-time job. My grandfather was working too. Everyone cared, but no one saw the whole picture.\n\n**We each saw pieces. No one put them together until something much bigger happened.**\n\n## **How it works for your parents**\n\nRhem lives in the home and becomes the easiest way for your parent to get things done and keep track of their health.\n\nThey just need to say:\n\n“Remind me after dinner.”\n\n“When is my appointment?”\n\n“Order our usual groceries.”\n\n“Tell Jacob I need a ride tomorrow.”\n\nRhem can browse websites, make calls, manage reminders, answer questions, place supported orders, and follow up.\n\n**If it doesn’t require a pair of hands, Rhem can probably handle it.**\n\nThey can also take supported wellness readings on Rhem, keep track of routines, and see how things change over time.\n\nWhen something needs you, **Rhem brings you into the loop through the rhem connect app.** You can answer a question, add context, or help finish the task. **Help Rhem once, and it remembers how to do it next time.**\n\n![uploaded image](/media/?type=post&id=117929&key=user_uploads/1690205/9adf4655-4900-4fe0-bdec-29e333c8a3dd)\n\n## **How it works for families**\n\nYour parent gets an assistant. **You get a clearer picture of how they’re doing.**\n\nThe Rhem app brings together health readings, routines, requests, completed tasks, and alerts. You can see what changed, what Rhem handled, and when you’re needed.\n\nFrom anywhere, you can send reminders, leave voice messages, ask Rhem to check in, talk to your parent, or ask about information they’ve shared.\n\nOver time, Rhem helps you spot patterns. **One bad night may mean nothing. A month of worse sleep, missed appointments, and changes in routine is something you want to know about.**\n\n![uploaded image](/media/?type=post&id=117929&key=user_uploads/1690205/c7652236-3ca9-40a0-9ea8-d1e2160852fc)\n\n## **Why we built Rhem**\n\n**We’re a father-and-son team, and our family spent nearly two decades caring for loved ones at home.**\n\nBefore my grandmother had a stroke, there were signs that something was changing. She was sleeping badly, talking less, and seemed unlike herself. We all noticed pieces of it, but nobody had the full picture until much later.\n\nMy aunt had a different problem. A brain tumor left her with limited mobility, so a lot of everyday things depended on someone else being available. Making a call. Looking something up. Ordering something. Figuring out what needed to happen next.\n\nA lot of the time, she didn’t need someone physically next to her. She needed someone who could help her get things done.\n\nThat’s where Rhem came from.\n\n**We wanted something that could notice when things were changing, help with the everyday stuff, and bring family in when they were actually needed.**\n\nThe goal is simple: give our parents more independence, while letting us spend more time being their family instead of managing everything around them.\n\n## **Team**\n\nJacob: Berkeley CS &amp; DS, researcher at Berkeley AI Robotics Lab with a focus on full stack autonomous driving and edge computing, founding engineer at Mattoboard.\n\nHuey: Executive leader with 30+ years of experience building smart hardware with embedded software at scale and leading global operations across North America, Europe, and Asia. \n\n![uploaded image](/media/?type=post&id=117929&key=user_uploads/1690205/2ae2c872-97c6-4ff3-9c05-dde53439c9b4)\n\n## Why order now\n\nIf you’re ordering a Founding Edition, thank you.\n\nWe know we’re asking you to trust a new company and buy something for someone you care deeply about. We don’t take that lightly.\n\n**Every Founding Edition includes:**\n\n* **Founding Price of $1099 before our price increase to $1499 on Jan 20th**\n* **1 x Halo Non-wearable Fall Detector ($80 Value)**\n* **2 years of Rhem Plus included ($480 Value)**\n* **2 x Merch Pack &amp; Goodies**\n* **Direct access to our team** for setup, questions, and feedback\n\n**Thank you for being here at the beginning. We can’t wait for Rhem to start making your parents’ lives a little easier.**\n\nPreorder now at: <https://rhem.ai>\n\n**_Here's to more good years with the people who raised us. 💙_**\n\n**— Jacob &amp; Huey**",
        "url": "https://www.ycombinator.com/launches/Ug5-rhem-labs-health-assistant-robots-for-your-parents",
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        "created_at": "2026-10-06T16:00:00.079Z"
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        "tagline": "Describe an investment thesis or strategy in plain English and Volaren's AI analysts research, build, and backtest it for you.",
        "body": "**TURNING IDEAS INTO TRADES**\n\n**TL;DR:** Volaren is putting a hedge fund in your pocket. You describe a thesis, a strategy, or a view of the world in plain English, and Volaren's AI analysts do the research, build it, and backtest it for you. Try it at <https://volaren.ai>.\n\nDEMO: <https://youtu.be/ROXjDJ9snjY>\n\n**The problem**\n\nInstitutions turn a view of the world into real positions using teams of analysts and expensive tooling like Bloomberg and Capital IQ. Everyone else does it by hand, or does not do it at all. The data and the methods already exist, but nobody had built the product that puts them in the hands of small teams and active retailers investing their own money.\n\n**What Volaren does**\n\nYou tell Volaren a thesis, a strategy, or a view of the world in plain English, and its agents go do the research for you. They handle all the heavy lifting of the analysis, and they build it and backtest it across both fundamental work (models, comps, thesis building) and quantitative strategies (momentum, style factors, custom rules). You can delegate as much as you want and expand how much you take on, so you grow from a single investor or small team fund into an entire research team. You see every step and can change anything, so the judgment stays yours, and your work stays with you in one place you can keep building on.\n\n**Who we are**\n\nWe are Martin Pestana and Akshat Mittal, and we ran this exact process on the inside at Goldman Sachs and AQR. Volaren exists to give a person with real conviction and a real portfolio the leverage of a full research team.\n\n**Our ask**\n\nIf you invest your own money, run a small fund, or you know someone who does, try Volaren at <https://volaren.ai>. We would love your feedback, and you can reach us directly at [martin@volaren.ai](mailto:martin@volaren.ai) and [akshat@volaren.ai](mailto:akshat@volaren.ai).",
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        "title": "Spine: We run HR backoffice & benefits for startups, for free",
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        "body": "Hey everyone 👋 We’re Onur and Ece, founders of **Spine (F26)**. We previously founded companies together with over $1B in value, and Spine is the company we wish we’d had while building them.\n\nWe run **benefits, people ops, and compliance for startups for free**.\n\nInstead of giving founders another piece of software to manage, we give every company dedicated senior HR and benefits specialists who actually do the work, on top of the HRIS they already use — Rippling, Deel, Gusto, ADP, and others.\n\n### **TL;DR**\n\n* Dedicated senior HR + benefits specialists working directly with your team in Slack\n* Works on top of the HRIS you already use \n* We implement better-fit, more cost-effective health plans and have reduced healthcare costs by around **15% on average**\n* We run open enrollment, benefits administration, payroll, compliance, onboarding/offboarding, and employee support \n* It’s free for startups: we become your benefits broker and are paid by insurance carriers\n* **30+ startups already use Spine, many of them YC companies**\n\nwatch here: <https://www.youtube.com/watch?v=T6paMQfwwHU>\n\n### **The problem**\n\nRippling, Deel, Gusto, and other HR platforms are great software. But someone still has to operate them, deal with issues, coordinate with carriers, answer employee questions, manage compliance, and make sure nothing falls through the cracks.\n\nAt an early-stage company, it usually falls on the founder, COO, finance lead, or whoever happens to know the most about it. That work quickly becomes a second job.\n\nSoftware helps. But someone still has to do the work.\n\n### **What we built**\n\n**Spine does the work for you. For free.**\n\nEvery company gets a dedicated senior HR lead and benefits specialist who works directly with the team, primarily through Slack, on top of the systems they already use.\n\nWe:\n\n* Review your existing health plans and run the market for better options\n* Benchmark coverage and pricing to reduce healthcare spend\n* Run open enrollment and benefits administration\n* Handle employee benefits questions directly\n* Run payroll and resolve payroll issues\n* Handle compliance, onboarding/offboarding, and ongoing people ops\n\nYou don’t need to migrate away from Rippling, Deel, Gusto, ADP, or whatever HRIS you already use. **We operate on top of it.**\n\nFor benefits, we become your broker of record. Insurance carriers already pay broker commissions, so we use those commissions to provide the rest of the service for free.\n\n### **Why we started Spine**\n\nWe spent years building and operating startups ourselves and kept running into the same problem: as our companies grew, we accumulated more software for payroll, benefits, compliance, and HR, but **the work itself never disappeared**.\n\nWe thought startups shouldn’t need to build an internal HR team just to make all of this work.\n\nSo we built Spine.\n\nToday, **30+ startups use us**, and we’re taking this work completely off their plates while also reducing what they spend on healthcare.\n\n### **Our ask 🙏**\n\nIf you’re running a startup, **get a senior HR and benefits team dedicated to you, for free.**\n\nYou can use us if:\n\n* your health insurance renewal or open enrollment is coming up\n* you’re thinking about leaving a PEO\n* you want to know whether you’re overpaying for healthcare\n* you need help with payroll, compliance or benefits\n* or you’re simply tired of spending time on work that has nothing to do with building your company\n\n**Send us what you have and we’ll start working for you right away, for free.**\n\nWe’d also really appreciate introductions to founders, CFOs, or people/ops leaders who could use the help.\n\nStart here: <https://hr.joinspine.ai/start>  or reach out to me directly here: [onur@joinspine.ai](mailto:onur@joinspine.ai)\n\nWould love feedback from the YC community ❤️",
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